Dr Cesar Maldonado Sanin

Dr Cesar Maldonado Sanin

Casual Academic

School of Engineering

Career Summary

Biography

Doctor Cesar Sanin has had very extensive experience in the area of intelligent systems development over the last 16 years. In this area, he has mainly contributed to the development of the knowledge engineering and knowledge management fields in several areas of application.  One of his most novel developments has been the knowledge representation named Decisional DNA (DDNA) and the Set of Experience Knowledge Structure (SOEKS). He has published over 150 refereed papers which attracted more than 1000 citations over the last years.

He obtained his PhD degree in 2007 in the area of knowledge engineering, and since then, he has been researching and leading the Knowledge Engineering Research Team - KERT - at The University of Newcastle, Faculty of Engineering and Built Environment. His research together with his team contribute significantly to the area of smart information use in modelling and development of complex and intelligent systems.

Teaching Expertise
Computer Languages, Introduction to Engineering, Computer Modelling and Simulation, Engineering Project Management, Numerical Methods, Engineering Economic Analysis, among others.


Qualifications

  • PhD, University of Newcastle

Keywords

  • Augmented Reality
  • Computer Modelling
  • Computer Simulation adn Modelling
  • Decision Support Systems
  • Engineering Economic Analysis
  • Industrie 4.0
  • Innovation and Commercialization
  • Knowledge Engineering
  • Knowledge Management
  • Ontologies
  • Project Management
  • Robotics
  • Simulation
  • Software Engineering
  • Web Engineering

Languages

  • Spanish (Fluent)
  • English (Fluent)

Fields of Research

Code Description Percentage
080299 Computation Theory and Mathematics not elsewhere classified 30
080199 Artificial Intelligence and Image Processing not elsewhere classified 40
091399 Mechanical Engineering not elsewhere classified 30

Professional Experience

UON Appointment

Title Organisation / Department
Casual Academic University of Newcastle
School of Electrical Engineering and Computing
Australia

Professional appointment

Dates Title Organisation / Department
1/12/2007 -  Posdoctor

Knowledge Engineering Research Group - KERT

Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Mechanical Engineering
Australia

Teaching appointment

Dates Title Organisation / Department
1/07/2004 - 7/01/2020 Casual Academic Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
School of Electrical Engineering and Computing
Australia
1/04/2004 -  Casual Academic Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
School of Engineering
Australia

Teaching

Code Course Role Duration
ENGG1003 Introduction to Procedural Programming
Faculty of Science and Information Technology,The University of Newcastle
This course introduces students to procedural programming and problem-solving with computers through Matlab and C, and assumes that students have no prior exposure to computer programming.
Lecturer 26/02/2018 - 31/07/2018
ENGG6830 Engineering Project Management
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)

This course aims at providing the student with an understanding of how to manage and conduct Engineering Projects, and knowledge and awareness of the tools required to do so. It is designed to offer the students a sound knowledge of the various engineering project management facets including managing the resources, quality, controlling the budget, procurement and planning, environmental management, risk and safety management systems, obtaining approvals, contract specification, and techniques and practices associated with the various stages of a project life. Additionally, the course provides awareness of innovation and the business environment within which the Engineering Projects are conducted.

An interdisciplinary emphasis is offered with relevance to all fields of engineering.

Course Coordinator/Lecturer 26/02/2018 - 31/07/2019
MECH6830 Engineering Economic Analysis
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
This course aims at providing the student with advanced concepts of engineering economic analysis and its role in engineering decision making. It is designed to offer the students the tools needed for rigorous presentation of the effect of the time value of money on engineering problem solving and the capacity to act with ethical and efficient professionalism. The tools introduced include present worth analysis, annual cash flow, rate of return, incremental analysis, future worth analysis, and payback period. Additionally, the course also covers topics such as depreciation, after tax analysis, replacement analysis, uncertainty, inflation, deflation, and estimation of future events. The course adds a compulsory knowledge for any project management professional in engineering fields.
Course Coordinator/Lecturer 23/07/2018 - 30/11/2018
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (14 outputs)

Year Citation Altmetrics Link
2014 Szczerbicki E, Maldonado Sanin C, Toro C, 'Bio-inspired Decisional DNA in Machines and other Man-made Systems: The Way Forward', Knowledge, Innovation and Quality as Factors of the Success in the New Economy, Lublin University of Marie Curie Sklodowska, Lublin, Poland 79-87 (2014) [B1]
Co-authors Edward Szczerbicki
2012 Artetxe A, Sanchez E, Toro C, Maldonado Sanin CA, Szczerbicki E, Grana M, Posada J, 'Speed-up of a knowledge-based clinical diagnosis system using reflexive ontologies', Advances in Knowledge-Based and Intelligent Information and Engineering Systems, IOS Press, Amsterdam, Netherlands 1480-1489 (2012) [B1]
Citations Scopus - 2Web of Science - 3
Co-authors Edward Szczerbicki
2012 Mancilla Amaya LE, Szczerbicki E, Maldonado Sanin CA, 'Advancing knowledge quality and quantity in knowledge markets', Advances in Knowledge-Based and Intelligent Information and Engineering Systems, IOS Press, Amsterdam 1460-1469 (2012) [B1]
Co-authors Edward Szczerbicki
2012 Szczerbicki E, Sanin C, Toro C, 'Set of experience and experiential decisional DNA', Advances in Knowledge-Based and Intelligent Information and Engineering Systems, IOS Press, Amsterdam, Netherlands 1-9 (2012) [B1]
Co-authors Edward Szczerbicki
2010 Szczerbicki E, Maldonado Sanin CA, 'Decisional DNA, reflexive ontologies, and security: Developing decisional trust', Etyka w Biznesie, Wydzial Ekonomiczny, Uniwersytet Marii Curie-Sklodowskiej, Lublin, Poland 205-210 (2010) [B1]
Co-authors Edward Szczerbicki
2009 Toro C, Grana M, Posada J, Maldonado Sanin CA, Szczerbicki E, 'An architecture for the semantic enhancement of virtual engineering applications', Intelligent Systems for Knowledge Management, Springer, Berlin 175-195 (2009) [B1]
DOI 10.1007/978-3-642-04170-9
Co-authors Edward Szczerbicki
2009 Maldonado Sanin CA, Mancilla Amaya LE, Szczerbicki E, Cayfordhowell P, 'Application of a multi-domain knowledge structure: The decisional DNA', Intelligent Systems for Knowledge Management, Springer, Berlin 65-86 (2009) [B1]
DOI 10.1007/978-3-642-04170-9
Co-authors Edward Szczerbicki
2009 Szczerbicki E, Maldonado Sanin CA, 'Developing smart set of experience: An example', Zastosowanie Technologii Informatycznych w Zarzadzaniu Wiedza, Pomorskie Wydawnictwo Naukowo-Techniczne, Gdansk, Poland 129-134 (2009) [B1]
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, 'Decisional DNA and the Smart Knowledge Management System: A process of transforming information into knowledge', Techniques and Tools for the Design and Implementation of Enterprise Information Systems, IGI Global, Hershey 149-175 (2008) [B1]
Citations Scopus - 23
Co-authors Edward Szczerbicki
2008 Szczerbicki E, Maldonado Sanin CA, 'Developing sets of experience knowledge structure', Zarzadzanie Wiedza I Technologiami Informatycznymi, Pomorskie Wydawnictwo Naukowo-Techniczne, Gdansk, Poland 105-112 (2008) [B1]
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, 'A genetic algorithm implementation for decisional DNA and set of experience knowledge structure', Information Systems Architecture and Technology: Decision Making Models, Oficyna Wydawnicza Politechniki Wroclawskiej, Wroclaw, Poland 71-78 (2007) [B1]
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Toro C, Szczerbicki E, Posada J, 'Enhancing the set of experience knowledge structure as a reflexive ontology', Zarzadzanie Wiedza: Wybrane Problemy, Wydzial Zarzadzania i Ekonomii, Politechnika Gdanska, Gdansk, Poland 97-112 (2007) [B1]
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Using Heterogeneous Similarity Metrics on an Ontology Based Knowledge Structure', Knowledge Management - Zarzadzanie Wiedza, Wydawca, Gdansk, Poland 33-49 (2006) [B1]
Co-authors Edward Szczerbicki
2005 Maldonado Sanin CA, Szczerbicki E, 'A complete example of set of experience knowledge structure on XML', Knowledge Management - Selected Issues (Zarzadzanie Wiedza - Wybrane Problemy), The University of Gdansk Press, Gdansk, Poland 99-112 (2005) [B1]
Co-authors Edward Szczerbicki
Show 11 more chapters

Journal article (65 outputs)

Year Citation Altmetrics Link
2018 de Oliveira CS, Sanin C, Szczerbicki E, 'Flexible Knowledge¿Vision¿Integration Platform for Personal Protective Equipment Detection and Classification Using Hierarchical Convolutional Neural Networks and Active Leaning', Cybernetics and Systems, 49 355-367 (2018) [C1]
DOI 10.1080/01969722.2017.1418714
Co-authors Edward Szczerbicki
2018 Ahmed MB, Sanin C, Szczerbicki E, 'Experience-Based Decisional DNA (DDNA) to Support Product Development', Cybernetics and Systems, 49 399-411 (2018) [C1]
DOI 10.1080/01969722.2017.1418743
Co-authors Edward Szczerbicki
2018 Shafiq SI, Szczerbicki E, Sanin C, 'Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario', Cybernetics and Systems, 49 280-295 (2018) [C1]
DOI 10.1080/01969722.2017.1418265
Co-authors Edward Szczerbicki
2018 Waris MM, Sanin C, Szczerbicki E, 'Smart Innovation Engineering: Toward Intelligent Industries of the Future', Cybernetics and Systems, 49 339-354 (2018) [C1]
DOI 10.1080/01969722.2017.1418708
Citations Scopus - 1
Co-authors Edward Szczerbicki
2018 De Oliveira CS, Sanin C, Szczerbicki E, 'Contextual Knowledge to Enhance Workplace Hazard Recognition and Interpretation in a Cognitive Vision Platform', Procedia Computer Science, 126 1837-1846 (2018) [C1]
DOI 10.1016/j.procS.2018.08.093
Co-authors Edward Szczerbicki
2018 Sanin C, Haoxi Z, Shafiq I, Waris MM, Silva de Oliveira C, Szczerbicki E, 'Experience based knowledge representation for Internet of Things and Cyber Physical Systems with case studies', Future Generation Computer Systems, (2018)

© 2018 Elsevier B.V. Cyber Physical Systems and Internet of Things have grown significant attention from industry and academia during the past decade. The main reason behind this ... [more]

© 2018 Elsevier B.V. Cyber Physical Systems and Internet of Things have grown significant attention from industry and academia during the past decade. The main reason behind this interest is the capabilities of such technologies to revolutionize human life since they appear as seamlessly integrating classical networks, networked objects and people to create more efficient environments. However, enhancing these technologies with intelligent skills becomes an even more interesting and enticing scenario. In this paper, we propose and illustrate through a number of case studies how Decisional DNA, a multi-domain knowledge structure based on experience, can be implemented as a comprehensive embedded knowledge representation for Internet of Things and Cyber Physical Systems. Decisional DNA gathers explicit experiential knowledge based on formal decision events and uses this knowledge to support decision-making processes. The main advantages of using Decisional DNA are as follows: (i) offers a standardized form of the collected knowledge and experience, (ii) provides versatility and dynamicity of the knowledge structure, (iii) stipulates storage of day-to-day explicit experience in a single configuration, (iv) delivers transportability and shareability of the knowledge, and (v) provides predicting capabilities based on the collected experience. Consequently, test and results of the presented implementation of Decisional DNA case studies support it as a technology that can improve and be applied to the aforementioned technologies enhancing them with intelligence by predicting capabilities and facilitating knowledge engineering processes.

DOI 10.1016/j.future.2018.01.062
Co-authors Edward Szczerbicki
2018 Li F, Zhang H, Wang J, Liu Y, Gao L, Xu X, et al., 'Toward Intelligent Vehicle Intrusion Detection Using the Neural Knowledge DNA', Cybernetics and Systems, 1-8 (2018)

© 2017 Taylor & Francis Group, LLC In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle i... [more]

© 2017 Taylor & Francis Group, LLC In this paper, we propose a novel intrusion detection approach using past driving experience and the neural knowledge DNA for in-vehicle information system security. The neural knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for classifying malicious vehicle control commands based on learning from past valid driving behavior data on a simulator.

DOI 10.1080/01969722.2017.1418788
Citations Scopus - 1
Co-authors Edward Szczerbicki
2018 Souza Alves TD, De Oliveira CS, Sanin C, Szczerbicki E, 'From Knowledge based Vision Systems to Cognitive Vision Systems: A Review', Procedia Computer Science, 126 1855-1864 (2018) [C1]

© 2018 The Author(s). Computer vision reSearch and applications have their origins in 1960S. Limitations in computational resources inherent of that time, among other reasons, cau... [more]

© 2018 The Author(s). Computer vision reSearch and applications have their origins in 1960S. Limitations in computational resources inherent of that time, among other reasons, caused reSearch to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarioS. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision Systems. However, most applications rely on purely bottom-up approaches that require large amounts of training data and are not able to generalize well for novel data. In this work, we survey knowledge associated to Computer Vision Systems developed in the last ten yearS. It is seen that the use of explicit knowledge has contributed to improve several computer vision taskS. The integration of explicit knowledge with image data enables the development of applications that operate on a joint bottom-up and top-down approach to visual learning, analogous to human vision. Knowledge associated to vision Systems is shown to have less dependency on data, increased accuracy, and robustnesS.

DOI 10.1016/j.procS.2018.08.077
Co-authors Edward Szczerbicki
2017 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Towards an experience based collective computational intelligence for manufacturing', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 66 89-99 (2017) [C1]
DOI 10.1016/j.future.2016.04.022
Citations Scopus - 4Web of Science - 1
Co-authors Edward Szczerbicki
2017 Waris MM, Sanin C, Szczerbicki E, Shafiq SI, 'A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem', CYBERNETICS AND SYSTEMS, 48 231-248 (2017) [C1]
DOI 10.1080/01969722.2016.1276776
Citations Scopus - 2
Co-authors Edward Szczerbicki
2017 Zhang H, Li F, Wang J, Wang Z, Shi L, Zhao J, et al., 'Adding Intelligence to Cars Using the Neural Knowledge DNA', CYBERNETICS AND SYSTEMS, 48 267-273 (2017) [C1]
DOI 10.1080/01969722.2016.1276780
Citations Scopus - 2
Co-authors Edward Szczerbicki
2017 Zhang H, Sanin C, Szczerbicki E, Zhu M, 'Towards neural knowledge DNA', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 32 1575-1584 (2017) [C1]
DOI 10.3233/JIFS-169151
Co-authors Edward Szczerbicki
2017 Zhang H, Li F, Wang J, Wang Z, Sanin C, Szczerbicki E, 'Experience-Oriented Intelligence for Internet of Things', CYBERNETICS AND SYSTEMS, 48 162-181 (2017) [C1]
DOI 10.1080/01969722.2016.1276771
Citations Scopus - 1
Co-authors Edward Szczerbicki
2017 Sanin C, Shafiq I, Waris MM, Toro C, Szczerbicki E, 'Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 32 1585-1599 (2017) [C1]
DOI 10.3233/JIFS-169152
Co-authors Edward Szczerbicki
2016 Zhang H, Sanin C, Szczerbicki E, 'When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing', Cybernetics and Systems, 47 140-148 (2016) [C1]

Copyright © 2016 Taylor & Francis Group, LLC. In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representati... [more]

Copyright © 2016 Taylor & Francis Group, LLC. In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domains past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest neighbors), logistic regression, and AdaBoost in classification tasks, and the results show that our approach is very promising with regard to the enhancement of the accuracy of knowledge-based predictions required in complex decision-making problems.

DOI 10.1080/01969722.2016.1128776
Citations Scopus - 2Web of Science - 2
Co-authors Edward Szczerbicki
2016 Waris MM, Sanin C, Szczerbicki E, 'Toward Smart Innovation Engineering: Decisional DNA-Based Conceptual Approach', Cybernetics and Systems, 47 149-159 (2016) [C1]

Copyright © 2016 Taylor & Francis Group, LLC. Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach ... [more]

Copyright © 2016 Taylor & Francis Group, LLC. Knowledge and experience are essential requirements for product innovation. The presented paper proposes a systematic approach for product innovation support using a Smart Knowledge Management System comprising a Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This proposed system is dynamic in nature because it updates itself every time a new decision related to innovation is made. Through this system, the product innovation process can be performed semiautomatically and efficiently because it stores knowledge of past experiences of innovative decisions.

DOI 10.1080/01969722.2016.1128775
Citations Scopus - 5Web of Science - 4
Co-authors Edward Szczerbicki
2016 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Virtual Engineering Factory: Creating Experience Base for Industry 4.0', Cybernetics and Systems, 47 32-47 (2016) [C1]

Copyright © 2016 Taylor & Francis Group, LLC. In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufactur... [more]

Copyright © 2016 Taylor & Francis Group, LLC. In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication of engineering objects. Consequently, Decisional DNA-based knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO), virtual engineering processes (VEP), and virtual engineering factories (VEF), respectively. In this study, assimilation of VEO-VEP-VEF concept in the Cyber-physical system-based Industry 4.0 is proposed. The planned concept is implemented on a case study. Also, Decisional DNA features such as similarity identification and phenotyping are explored for validation. It is concluded that this approach can support Industry 4.0 and can facilitate in real time critical, creative, and effective decision making.

DOI 10.1080/01969722.2016.1128762
Citations Scopus - 10Web of Science - 10
Co-authors Edward Szczerbicki
2016 Shafiq SI, Sanin C, Toro C, Szczerbicki E, 'Virtual engineering process (VEP): a knowledge representation approach for building bio-inspired distributed manufacturing DNA', International Journal of Production Research, 54 7129-7142 (2016) [C1]

© 2015 Informa UK Limited, trading as Taylor & Francis Group. The objective of this research is to provide a user-friendly and effective way of representing engineering proc... [more]

© 2015 Informa UK Limited, trading as Taylor & Francis Group. The objective of this research is to provide a user-friendly and effective way of representing engineering processes for distributed manufacturing systems so that they can develop, accumulate and share knowledge. The basic definition and principle of the approach is introduced first and then the prototype version of the system is developed and demonstrated with case studies, which verify the feasibility of the proposed approach. This paper proposes a novel concept of virtual engineering process (VEP), which is experience-based knowledge representation of engineering processes. VEP is an extension of our previous work on virtual engineering object (VEO). VEP model includes complete process knowledge required to manufacture a component. This knowledge is captured from three distinctive aspects related to manufacturing. First, information about the manufacturing operations involved. Second, information about the resources/machines required to perform operations and third, information about process level decisions that are taken. It also aims to combine/share experience of engineering objects, manufacturing processes, and systems. It applies bio-inspired knowledge engineering approach called decisional DNA and set of experience-based knowledge representation.

DOI 10.1080/00207543.2015.1125545
Citations Scopus - 2
Co-authors Edward Szczerbicki
2015 Sanchez E, Toro C, Grana M, Sanin C, Szczerbicki E, 'Extended Reflexive Ontologies for the Generation of Clinical Recommendations', CYBERNETICS AND SYSTEMS, 46 4-18 (2015) [C1]
DOI 10.1080/01969722.2015.1007723
Citations Scopus - 4Web of Science - 4
Co-authors Edward Szczerbicki
2015 Shafiq SI, Sanin C, Toro C, Szczerbicki E, 'Virtual Engineering Object (VEO): Toward Experience-Based Design and Manufacturing for Industry 4.0', CYBERNETICS AND SYSTEMS, 46 35-50 (2015) [C1]
DOI 10.1080/01969722.2015.1007734
Citations Scopus - 21Web of Science - 19
Co-authors Edward Szczerbicki
2015 Zhang H, Sanin C, Szczerbicki E, 'Applying Decisional DNA to Internet of Things: The Concept and Initial Case Study', CYBERNETICS AND SYSTEMS, 46 84-93 (2015) [C1]
DOI 10.1080/01969722.2015.1007738
Citations Scopus - 3Web of Science - 3
Co-authors Edward Szczerbicki
2015 Wang P, Sanin C, Szczerbicki E, 'Evolutionary algorithm and decisional DNA for multiple travelling salesman problem', Neurocomputing, 150 50-57 (2015) [C1]

© 2014 Elsevier B.V. In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically exp... [more]

© 2014 Elsevier B.V. In the real world, it is common to face optimization problems that have two or more objectives that must be optimized at the same time, that are typically explained in different units, and are in conflict with one another. This paper presents a hybrid structure that combines set of experience knowledge structures (SOEKS) and evolutionary algorithms, NSGA-II (Non-dominated Sorting Genetic Algorithm II), to solve multiple optimization problems. The proposed structure uses experience that is derived from a former decision event to improve the evolutionary algorithm's ability to find optimal solutions rapidly and efficiently. It is embedded in a smart experience-based data analysis system (SEDAS) introduced in the paper. Experimental illustrative results of SEDAS application to solve a travelling salesman problem show that our new proposed hybrid model can find optimal or close to true Pareto-optimal solutions in a fast and efficient way.

DOI 10.1016/j.neucom.2014.01.075
Citations Scopus - 14Web of Science - 9
Co-authors Edward Szczerbicki
2015 Zambrano A, Toro C, Nieto M, Sotaquirá R, Sanín C, Szczerbicki E, 'Video semantic analysis framework based on run-time production rules - Towards cognitive vision', Journal of Universal Computer Science, 21 856-870 (2015) [C1]

© J.UCS This paper proposes a service-oriented architecture for video analysis which separates object detection from event recognition. Our aim is to introduce new tools to be con... [more]

© J.UCS This paper proposes a service-oriented architecture for video analysis which separates object detection from event recognition. Our aim is to introduce new tools to be considered in the pathway towards Cognitive Vision as a support for classical Computer Vision techniques that have been broadly used by the scientific community. In the article, we particularly focus in solving some of the reported scalability issues found in current Computer Vision approaches by introducing an experience based approximation based on the Set of Experience Knowledge Structure (SOEKS). In our proposal, object detection takes place clientside, while event recognition takes place server-side. In order to implement our approach, we introduce a novel architecture that aims at recognizing events defined by a user using production rules (a part of the SOEKS model) and the detections made by the client using their own algorithms for visual recognition. In order to test our methodology, we present a case study, showing the scalability enhancements provided.

Citations Scopus - 6Web of Science - 2
Co-authors Edward Szczerbicki
2015 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Virtual engineering objects: Effective way of knowledge representation and decision making', Studies in Computational Intelligence, 598 261-270 (2015) [C1]

© Springer International Publishing Switzerland 2015. This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional D... [more]

© Springer International Publishing Switzerland 2015. This paper presents a knowledge representation case study by constructing Decisional DNA of engineering objects. Decisional DNA, as a knowledge representation structure not only offers great possibilities on gathering explicit knowledge of formal decision events but also it is a powerful tool for decision-making process. The concept of Virtual engineering Object (VEO), which is a knowledge and experience representation of engineering artefacts, is also discussed. In this paper, we present several Sets of Experience of engineering objects used in manufacturing that were collected for the construction of a VEO-chromosome within the VEO-Decisional DNA. VEO is used to enhance manufacturing systems with predicting capabilities, facilitating decision-making in engineering processes knowledge handling.

DOI 10.1007/978-3-319-16211-9_27
Citations Scopus - 4Web of Science - 4
Co-authors Edward Szczerbicki
2014 Sanchez E, Toro C, Graña M, Sanín C, Szczerbicki E, 'Specification of extended reflexive ontologies in the context of CDSS', Studies in Health Technology and Informatics, 207 234-243 (2014) [C1]

© 2014 The authors and IOS Press. All rights reserved. Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selec... [more]

© 2014 The authors and IOS Press. All rights reserved. Decision recommendations are a set of alternative options for clinical decisions (e.g. diagnosis, prognosis, treatment selection, follow-up and prevention) that are provided to decision makers by knowledge-based Clinical Decision Support Systems (k-CDSS) as aids. We propose to follow a reasoning over domain approach for the generation of decision recommendations, by gathering and inferring conclusions from production rules. In order to rationalize our approach we present a specification that will sustain the logic models supported in the Knowledge Bases we use for persistence. We introduce first the underlying knowledge model and then the necessary extensions that will convey towards the solution of the reported needs. The starting point of our approach is the work of Toro et al. [13] on Reflexive Ontologies (RO). We also propose an extension of RO, by including the handling and reasoning that production rules provide. Our approach speeds-up the recommendation generation process.

DOI 10.3233/978-1-61499-474-9-234
Co-authors Edward Szczerbicki
2014 Sanchez E, Peng W, Toro C, Sanin C, Graña M, Szczerbicki E, et al., 'Decisional DNA for modeling and reuse of experiential clinical assessments in breast cancer diagnosis and treatment', Neurocomputing, 146 308-318 (2014) [C1]

Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge impos... [more]

Clinical Decision Support Systems (CDSS) are active knowledge resources that use patient data to generate case specific advice. The fast pace of change of clinical knowledge imposes to CDSS the continuous update of the domain knowledge and decision criteria. Traditional approaches require costly tedious manual maintenance of the CDSS knowledge bases and repositories. Often, such an effort cannot be assumed by medical teams, hence maintenance is often faulty. In this paper, we propose a (semi-)automatic update process of the underlying knowledge bases and decision criteria of CDSS, following a learning paradigm based on previous experiences, such as the continuous learning that clinicians carry out in real life. In this process clinical decisional events are acquired and formalized inside the system by the use of the SOEKS and Decisional DNA experiential knowledge representation techniques. We propose three algorithms processing clinical experience to: (a) provide a weighting of the different decision criteria, (b) obtain their fine-tuning, and (c) achieve the formalization of new decision criteria. Finally, we present an implementation instance of a CDSS for the domain of breast cancer diagnosis and treatment. © 2014 Elsevier B.V.

DOI 10.1016/j.neucom.2014.06.032
Citations Scopus - 6Web of Science - 6
Co-authors Edward Szczerbicki
2014 Shafiq SI, Sanín C, Szczerbicki E, 'Set of experience knowledge structure (SOEKS) and decisional DNA (DDNA): Past, present and future', Cybernetics and Systems, 45 200-215 (2014) [C1]

This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the conce... [more]

This article reviews research work on set of experience knowledge structure (SOEKS)-decisional DNA (DDNA) done in the past, ongoing, and planned for the future. Firstly, the concept of the knowledge representation technique of SOEKS-DDNA is discussed, and then an attempt is made to organize the past research related with it in chronological order. This work focuses on the review on SOEKS-DDNA, its application in different domains, the various implementation platforms, as well as its benefits and its limitations. The second part of this article provides an idea of the SOEKS-DDNA-related research endeavors currently carried out by us and the last part is a sneak peek into our planned future work. © 2014 Copyright Taylor & Francis Group, LLC.

DOI 10.1080/01969722.2014.874830
Citations Scopus - 17Web of Science - 17
Co-authors Edward Szczerbicki
2014 Calad-Alvarez A, Mejia-Gutierrez R, Sanin CM, Szczerbicki E, 'Smart experience engineering to support collaborative design problems based on constraints modelling', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 27 655-666 (2014) [C1]
DOI 10.3233/IFS-131097
Citations Scopus - 1Web of Science - 1
Co-authors Edward Szczerbicki
2013 Sanchez E, Toro C, Artetxe A, Grana M, Sanin C, Szczerbicki E, et al., 'Bridging challenges of clinical decision support systems with a semantic approach. A case study on breast cancer', PATTERN RECOGNITION LETTERS, 34 1758-1768 (2013) [C1]
DOI 10.1016/j.patrec.2013.04.003
Citations Scopus - 15Web of Science - 14
Co-authors Edward Szczerbicki
2013 Mancilla-Amaya L, Szczerbicki E, Sanin C, 'A PROPOSAL FOR A KNOWLEDGE MARKET BASED ON QUANTITY AND QUALITY OF KNOWLEDGE', CYBERNETICS AND SYSTEMS, 44 118-132 (2013) [C1]
DOI 10.1080/01969722.2013.762233
Citations Scopus - 2Web of Science - 2
Co-authors Edward Szczerbicki
2013 Wang P, Sanin C, Szczerbicki E, 'PREDICTION BASED ON INTEGRATION OF DECISIONAL DNA AND A FEATURE SELECTION ALGORITHM RELIEF-F', CYBERNETICS AND SYSTEMS, 44 173-183 (2013) [C1]
DOI 10.1080/01969722.2013.762246
Citations Scopus - 10Web of Science - 6
Co-authors Edward Szczerbicki
2013 Artetxe A, Sanchez E, Toro C, Sanín C, Szczerbicki E, Graña M, Posada J, 'Impact of reflexive ontologies in semantic clinical decision support systems', Cybernetics and Systems, 44 187-203 (2013) [C1]

Ontology processing is arguably a time-consuming process with high associated computational costs. Query actions constitute a crucial part of the reasoning process and are a prima... [more]

Ontology processing is arguably a time-consuming process with high associated computational costs. Query actions constitute a crucial part of the reasoning process and are a primary source of time consumption. Reflexive ontologies (ROs) is a novel approach intended to reduce time consumption problems while providing a fast reaction from ontology-based applications. In this article we present the implementation of a knowledge-based clinical decision support system (CDSS) for the diagnosis of Alzheimer's disease, which was the benchmark used to evaluate the impact of RO in the overall performance of the system. The implementation details and the definition of the implementation methodology are exposed in this article, along with the results of the evaluation. Some novel techniques that aim to optimize the performance of ROs are also presented with highlights of the test application introduced in our previous work. © 2013 Taylor & Francis Group, LLC.

DOI 10.1080/01969722.2013.762256
Citations Scopus - 4Web of Science - 4
Co-authors Edward Szczerbicki
2013 Zhang H, Sanín C, Szczerbicki E, 'Implementing fuzzy logic to generate user profile in decisional dna television: The concept and initial case study', Cybernetics and Systems, 44 275-283 (2013) [C1]

In this article, we present a concept and case study of a novel approach that generates a television (TV) user's profile utilizing principles of fuzzy logic. A user profile r... [more]

In this article, we present a concept and case study of a novel approach that generates a television (TV) user's profile utilizing principles of fuzzy logic. A user profile refers to the user's basic information, such as gender, age, and profession. The generated profile has the potential to significantly improve Digital TV (DTV), making the service smarter and more user friendly. We apply the proposed approach to our previous work that introduced decisional DNA TV, which enables TV broadcasters to suggest program choices based upon the user's past viewing habits. Decisional DNA is a domain-independent, flexible, and standard experiential knowledge repository solution that allows for knowledge to be acquired, reused, evolved, and shared in an easy and portable way. The presented conceptual approach demonstrates how fuzzy logic methods can be deployed within DNA TV through an experimental implementation that generates a user profile by capturing viewing habits. © 2013 Taylor & Francis Group, LLC.

DOI 10.1080/01969722.2013.762280
Citations Scopus - 6Web of Science - 6
Co-authors Edward Szczerbicki
2012 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Quality assessment of experiential knowledge', Cybernetics and Systems, 43 96-113 (2012) [C1]
Citations Scopus - 5Web of Science - 5
Co-authors Edward Szczerbicki
2012 Mancilla Amaya LE, Szczerbicki E, Maldonado Sanin CA, 'Estimating knowledge quantity in the e-decisional community', Cybernetics and Systems, 43 276-291 (2012) [C1]
Citations Scopus - 3Web of Science - 2
Co-authors Edward Szczerbicki
2012 Maldonado Sanin CA, Mancilla Amaya LE, Zhang H, Szczerbicki E, 'Decisional DNA: The Concept and Its Implementation Platforms', Cybernetics and Systems, 43 67-80 (2012) [C1]
Citations Scopus - 12Web of Science - 13
Co-authors Edward Szczerbicki
2012 Toro C, Sanchez E, Carrasco E, Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, et al., 'Using set of experience knowledge structure to extend a rule set of clinical decision support system for Alzheimer's disease diagnosis', Cybernetics and Systems, 43 81-95 (2012) [C1]
Citations Scopus - 21Web of Science - 21
Co-authors Edward Szczerbicki
2012 Toro C, Vaquero J, Grana M, Maldonado Sanin CA, Szczerbicki E, Posada J, 'Building domain ontologies from engineering standards', Cybernetics and Systems, 43 114-126 (2012) [C1]
Citations Scopus - 4Web of Science - 3
Co-authors Edward Szczerbicki
2012 Wang P, Maldonado Sanin CA, Szczerbicki E, 'Introducing the concept of decisional DNA-based web content mining', Cybernetics and Systems, 43 136-142 (2012) [C1]
Citations Scopus - 6Web of Science - 3
Co-authors Edward Szczerbicki
2012 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Making digital TV smarter: Capturing and reusing experience in digital TV', Cybernetics and Systems, 43 127-135 (2012) [C1]
Citations Scopus - 4Web of Science - 4
Co-authors Edward Szczerbicki
2012 Zhang H, Sanin C, Szczerbicki E, 'The Development of Decisional DNA DIGITAL TV', ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 243 1500-1508 (2012)
DOI 10.3233/978-1-61499-105-2-1500
Co-authors Edward Szczerbicki
2012 Wang P, Sanin C, Szczerbicki E, 'Decisional DNA with Embedded RELIEF-F and Linear Regression for Knowledge and Experience Management', ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, 243 1531-1542 (2012)
DOI 10.3233/978-1-61499-105-2-1531
Co-authors Edward Szczerbicki
2012 Maldonado Sanin CA, Toro C, Zhang H, Sanchez E, Szczerbicki E, Carrasco E, et al., 'Decisional DNA: A multi-technology shareable knowledge structure for decisional experience', Neurocomputing, 88 42-53 (2012) [C1]
DOI 10.1016/j.neucom.2011.08.029
Citations Scopus - 32Web of Science - 32
Co-authors Edward Szczerbicki
2011 Zuluaga GG, Maldonado Sanin CA, Szczerbicki E, 'Smart decision infrastructure: Architecture discussion', Cybernetics and Systems, 42 139-155 (2011) [C1]
DOI 10.1080/01969722.2011.541214
Citations Scopus - 3Web of Science - 2
Co-authors Edward Szczerbicki
2010 Zhang H, Sanin C, Szczerbicki E, 'Decisional DNA-based embedded systems: A new perspective', Systems Science, 36 21-26 (2010) [C1]

Nowadays, knowledge-based embedded systems have become a new trend on embedded systems. They are capable of knowledge acquisition, reusing, evolving and sharing. However, due to t... [more]

Nowadays, knowledge-based embedded systems have become a new trend on embedded systems. They are capable of knowledge acquisition, reusing, evolving and sharing. However, due to the lack of standardized solutions and development platforms, it is not only very hard to share knowledge among different knowledge-based embedded systems, but this also causes huge waste by redesign, redevelopment, and knowledge re-acquiring. In this paper, we propose the Decisional DNA-based Embedded Systems as a new approach to meet this demand. Decisional DNA is a domain-independent, flexible and standard knowledge representation structure. We apply Decisional DNA to embedded systems to make them acquire, reuse, evolve and share knowledge in an easy and standard way. As a result, we propose the features, architecture and application types for the embedded systems.

Citations Scopus - 1
Co-authors Edward Szczerbicki
2010 Mancilla-Amaya L, Sanín C, Szczerbicki E, 'A proposal for knowledge sharing in the E-Decisional Community using decisional DNA', Systems Science, 36 13-19 (2010) [C1]

The E-Decisional Community is a proposal that aims at enabling knowledge sharing between individuals and organizations, using the Set of Experience Knowledge Structure (SOEKS) and... [more]

The E-Decisional Community is a proposal that aims at enabling knowledge sharing between individuals and organizations, using the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA as knowledge representations; it is based upon principles from Software Agents, Grid and Cloud computing. In this paper, we present an analysis of different agent communication and knowledge representation languages, with the purpose of defining a set of basic mechanisms to be used in the E-Decisional Community for knowledge exchange between its members.

Co-authors Edward Szczerbicki
2010 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Smart knowledge-sharing platform for e-decisional community', Cybernetics and Systems, 41 17-30 (2010) [C1]
DOI 10.1080/01969720903408730
Citations Scopus - 17Web of Science - 13
Co-authors Edward Szczerbicki
2010 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Using human behavior to develop knowledge-based virtual organizations', Cybernetics and Systems, 41 577-591 (2010) [C1]
DOI 10.1080/01969722.2010.520216
Citations Scopus - 6Web of Science - 6
Co-authors Edward Szczerbicki
2010 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Gaining knowledge through experience: Developing decisional DNA applications in robotics', Cybernetics and Systems, 41 628-637 (2010) [C1]
DOI 10.1080/01969722.2010.520228
Citations Scopus - 2Web of Science - 2
Co-authors Edward Szczerbicki
2009 Toro C, Graña M, Posada J, Sanín C, Szczerbicki E, 'An architecture for the semantic enhancement of virtual engineering applications', Studies in Computational Intelligence, 252 175-195 (2009) [C2]

Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), wit... [more]

Virtual Engineering (VE) is defined as the integration of geometric models and related engineering tools (such as analysis, simulation, optimization and decision-making, etc), within a computerized environment that facilitates multidisciplinary and collaborative product development [1]. The focus of Virtual Engineering is to engage the human capacity for evaluation of complex systems and situations [2]. In this article, we present an architecture for the Semantic enhancement of Virtual Engineering Applications (VEA) through their embedded Virtual Engineering Tools. Our architecture follows a User-Intention-Domain schema and makes use of state of the art technologies like the Set of Experience Knowledge Structure and the Reflexive Ontologies in order to offer a better User experience with VEA. The main advantages of using Semantics in VEA can be summarized are: (i) an improved information and embedded Knowledge management, (ii) Enhancements in the search, knowledge and information sharing processes during the use of the VEA, (iii) The use of the intrinsic Knowledge embedded in the elements being described by the VEA and (iv) the empowerment of the User's knowledge and embedding of such knowledge in a structured and explicit conceptualization. © 2009 Springer-Verlag Berlin Heidelberg.

DOI 10.1007/978-3-642-04170-9_8
Citations Scopus - 1
Co-authors Edward Szczerbicki
2009 Sanín C, Mancilla-Amaya L, Szczerbicki E, Cayfordhowell P, 'Application of a multi-domain knowledge structure: The decisional DNA', Studies in Computational Intelligence, 252 65-86 (2009) [C2]

Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different disciplines. Kno... [more]

Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different disciplines. Knowledge engineering techniques offer features such as: learning from experience, handling noisy and incomplete data, helping with decision making, and predicting. This chapter presents the application of a knowledge structure to different fields of study by constructing Decisional DNA. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making processes. Its versatility is shown in this chapter when applied to decisional domains in finances and energy. The main advantages of using the Decisional DNA rely on: (i) versatility and dynamicity of the knowledge structure, (ii) storage of day-to-day explicit experience in a single structure, (iii) transportability and share ability of the knowledge, and (iv) predicting capabilities based on the collected experience. Thus, after showing the results, we conclude that the Decisional DNA, as a unique structure, can be applied to multi-domain systems while enhancing predicting capabilities and facilitating knowledge engineering processes inside decision making systems. © 2009 Springer-Verlag Berlin Heidelberg.

DOI 10.1007/978-3-642-04170-9_3
Citations Scopus - 36
Co-authors Edward Szczerbicki
2009 Maldonado Sanin CA, Szczerbicki E, 'Experience-based knowledge representation: SOEKS', Cybernetics and Systems, 40 99-122 (2009) [C1]
DOI 10.1080/01969720802633149
Citations Scopus - 40Web of Science - 32
Co-authors Edward Szczerbicki
2009 Maldonado Sanin CA, Szczerbicki E, 'Implementing decisional trust: A first approach for smart reliable systems', Cybernetics and Systems, 40 85-98 (2009) [C1]
DOI 10.1080/01969720802633131
Citations Scopus - 1Web of Science - 1
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, 'Toward decisional DNA: Developing holistic set of experience knowledge structure', Foundations of Control and Management Sciences, - 109-122 (2008) [C2]
Co-authors Edward Szczerbicki
2008 Toro C, Maldonado Sanin CA, Szczerbicki E, Posada J, 'Reflexive ontologies: Enhancing ontologies with self-contained queries', Cybernetics and Systems, 39 171-189 (2008) [C1]
DOI 10.1080/01969720701853467
Citations Scopus - 29Web of Science - 17
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, Toro C, 'Combining technologies to achieve decisional trust', Cybernetics and Systems, 39 743-752 (2008) [C1]
DOI 10.1080/01969720802257972
Citations Scopus - 1Web of Science - 1
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, Toro C, 'An OWL ontology of set of experience knowledge structure', Journal of Universal Computer Science, 13 209-223 (2007) [C1]
DOI 10.3217/jucs-013-02-0209
Citations Scopus - 61Web of Science - 53
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Toro C, Vaquero J, Szczerbicki E, Posada J, 'Implementing decisional DNA in industrial maintenance by a knowledge soupa extension', Systems Science, 33 61-68 (2007) [C1]
Citations Scopus - 2
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, 'Dissimilar sets of experience knowledge structure: A negotiation process for decisional DNA', Cybernetics and Systems, 38 455-473 (2007) [C1]
DOI 10.1080/01969720701344210
Citations Scopus - 5Web of Science - 4
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, 'Genetic algorithms for decisional DNA: Solving sets of experience knowledge structure', Cybernetics and Systems, 38 475-494 (2007) [C1]
DOI 10.1080/01969720701344269
Citations Scopus - 8Web of Science - 6
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, 'Towards the construction of decisional DNA: A set of experience knowledge structure java class within an ontology system', Cybernetics and Systems, 38 859-878 (2007) [C1]
DOI 10.1080/01969720701601189
Citations Scopus - 31Web of Science - 22
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Using Set of Experience in the Process of Transforming Information into Knowledge', International Journal of Enterprise Information Systems, 2, No.2 45-62 (2006) [C1]
DOI 10.4018/jeis.2006040104
Citations Scopus - 21Web of Science - 12
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Extending set of experience knowledge structure into a transportable of language extensible markup language', Cybernetics and Systems, 37 97-117 (2006) [C1]
DOI 10.1080/01969720500425046
Citations Scopus - 33Web of Science - 26
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Developing heterogeneous similarity metrics for knowledge administration', Cybernetics and Systems, 37 553-565 (2006) [C1]
DOI 10.1080/01969720600734495
Citations Scopus - 3Web of Science - 3
Co-authors Edward Szczerbicki
2005 Maldonado Sanin CA, Szczerbicki E, 'Set of experience: a knowledge structure for formal decision events', Foundations of Control and Management Sciences, 3 95-113 (2005) [C1]
Co-authors Edward Szczerbicki
Show 62 more journal articles

Conference (56 outputs)

Year Citation Altmetrics Link
2019 de Oliveira CS, Sanin C, Szczerbicki E, 'Cognition and decisional experience to support safety management in workplaces', Advances in Intelligent Systems and Computing (2019)

© Springer Nature Switzerland AG 2019. Hazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, manageme... [more]

© Springer Nature Switzerland AG 2019. Hazards are present in all workplaces and can result in serious injuries, short and long-term illnesses, or death. In this context, management of safety is essential to ensure the occupational health of workers. Aiming to assist the safety management process, especially in industrial environments, a Cognitive Vision Platform for Hazard Control (CVP-HC) is proposed. This platform is a Cyber Physical system, capable of identifying critical safety behaviors overcoming the limitations of current computer vision systems. In addition, the system stores experiential knowledge about safety events in an explicit and structured way. This knowledge can be easily accessed and shared and may be used to improve the user/company experience as well as to understand the company safety culture and to support a long term change process. The CVP-HC is a scalable yet adaptable system capable of working in a variety of video analysis scenarios whilst meeting specific safety requirements of companies by modifying its behavior accordingly. The proposed system is based on the Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA).

DOI 10.1007/978-3-319-99996-8_24
Co-authors Edward Szczerbicki
2018 Ahmed MB, Sanin C, Szczerbicki E, 'Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA', Studies in Computational Intelligence (2018)

© Springer International Publishing AG 2018. In this paper, we propose a framework to support product development activities by utilizing Set of Experience Knowledge Structure (SO... [more]

© Springer International Publishing AG 2018. In this paper, we propose a framework to support product development activities by utilizing Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This idea will provide a new direction to researchers working on product development, especially designers and manufacturers. They will be working on the same platform and this will be reducing their communication gap. Once the final idea is perceived about product development, it will be easy to design and manufacture it quickly and efficiently. Early consideration of manufacturing issues can shorten product development cycle time, minimize overall development cost, and ensure a smooth transition into production. In product development process knowledge of previous products and processes is very important, as product development requires both knowledge and experience. This framework will store knowledge in the form of experiences of past decisions, and the system will update itself after every decision is taken.

DOI 10.1007/978-3-319-76081-0_22
Co-authors Edward Szczerbicki
2018 de Oliveira CS, Sanin C, Szczerbicki E, 'Hazard control in industrial environments: A knowledge-vision-based approach', Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017. Part III, Szklarska Poreba, Poland (2018) [E1]
DOI 10.1007/978-3-319-67223-6_23
Citations Scopus - 2
Co-authors Edward Szczerbicki
2018 Waris MM, Sanin C, Szczerbicki E, 'Smart innovation engineering (SIE): Experience-based product innovation system for industry 4.0', Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017. Part III, Szklarska Poreba, Poland (2018) [E1]
DOI 10.1007/978-3-319-67223-6_36
Co-authors Edward Szczerbicki
2018 de Oliveira CS, Sanin C, Szczerbicki E, 'Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation', Intelligent Information and Database Systems. 10th Asian Conference, ACIIDS 2018. Proceedings, Part I, Dong Hoi City, Vietnam (2018) [E1]
DOI 10.1007/978-3-319-75417-8_42
Co-authors Edward Szczerbicki
2018 Waris MM, Sanin C, Szczerbicki E, 'Community of Practice for Product Innovation Towards the Establishment of Industry 4.0', Intelligent Information and Database Systems. 10th Asian Conference, ACIIDS 2018. Proceedings, Part II, Dong Hoi City, Vietnam (2018) [E1]
DOI 10.1007/978-3-319-75420-8_61
Co-authors Edward Szczerbicki
2017 Waris MM, Sanin C, Szczerbicki E, 'Enhancing product innovation through smart innovation engineering system', Intelligent Information and Database Systems. 9th Asian Conference, ACIIDS 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Kanazawa, Japan (2017) [E1]
DOI 10.1007/978-3-319-54472-4_31
Citations Scopus - 1
Co-authors Edward Szczerbicki
2017 Waris MM, Sanin C, Szczerbicki E, 'Modular Experience-Based Smart Innovation Engineering System', INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY - ISAT 2016, PT IV, Karpacz, POLAND (2017) [E1]
DOI 10.1007/978-3-319-46592-0_11
Co-authors Edward Szczerbicki
2016 Waris MM, Sanin C, Szczerbicki E, 'Framework for product innovation using SOEKS and decisional DNA', Intelligent Information and Database Systems. 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam (2016) [E1]
DOI 10.1007/978-3-662-49381-6_46
Citations Scopus - 3Web of Science - 1
Co-authors Edward Szczerbicki
2016 Zhang H, Sanin C, Szczerbicki E, 'Experience-Oriented Knowledge Management for Internet of Things', RECENT DEVELOPMENTS IN INTELLIGENT INFORMATION AND DATABASE SYSTEMS, Da Nang, VIETNAM (2016) [E1]
DOI 10.1007/978-3-319-31277-4_20
Citations Web of Science - 1
Co-authors Edward Szczerbicki
2016 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Decisional DNA Based Conceptual Framework for Smart Manufacturing', INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2015, PT I, Karpacz, POLAND (2016) [E1]
DOI 10.1007/978-3-319-28555-9_7
Citations Scopus - 3Web of Science - 2
Co-authors Edward Szczerbicki
2016 Waris MM, Sanin C, Szczerbicki E, 'Smart Innovation Management in Product Life Cycle', INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2015, PT I, Karpacz, POLAND (2016) [E1]
DOI 10.1007/978-3-319-28555-9_16
Citations Scopus - 3Web of Science - 2
Co-authors Edward Szczerbicki
2016 Shafiq SI, Velez G, Toro C, Sanin C, Szczerbicki E, 'Designing intelligent factory: Conceptual framework and empirical validation', Procedia Computer Science (2016)

© 2016 The Authors. This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play ... [more]

© 2016 The Authors. This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time visualization of key performance indicators (KPI's) and supports M2M communications over novel protocols like OPC-UA. Our model covers the industrial manufacturing cycle right from capturing raw data at machine level, converting it into useful information, doing semantics analysis and performs real time KPI visualization.

DOI 10.1016/j.procs.2016.09.351
Co-authors Edward Szczerbicki
2015 Zhang H, Sanin C, Szczerbicki E, 'Experience-oriented enhancement of smartness for internet of things', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) [E1]

© Springer International Publishing Switzerland 2015. In this paper, we propose a novel approach, the Experience-Oriented Smart Things that allows experiential knowledge discovery... [more]

© Springer International Publishing Switzerland 2015. In this paper, we propose a novel approach, the Experience-Oriented Smart Things that allows experiential knowledge discovery, storage, involving, and sharing for Internet of Things. The main features, architecture, and initial experiments of this approach are introduced. Rather than take all the data produced by Internet of Things, this approach focuses on acquiring only interesting data for its knowledge discovery process. By catching decision events, this approach gathers its own daily operation experience, which is the interesting data, and uses such experience for knowledge discovery. An initial experiment was made at the end of this paper, by applying this approach to a sensors-equipped bicycle, the bicycle is able to learn user¿s physical features and recognize its user out of other riders. Customized version of Decisional DNA is used in this approach as the knowledge representation technique. Decisional DNA is a domain-independent, and flexible, and standard experiential knowledge repository solution that allows knowledge to be acquired, reused, evolved and shared easily. The presented conceptual approach demonstrates how knowledge can be discovered through its domain¿s experiences and stored as Decisional DNA.

DOI 10.1007/978-3-319-15705-4_49
Citations Scopus - 2Web of Science - 3
Co-authors Edward Szczerbicki
2015 Szczerbicki E, Sanin C, Shafiq SI, 'Set of experience and decisional DNA: Toward brains for cyber-physical systems and industry of the future', Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015 (2015) [E1]

© 2015 IEEE. The concept of Decisional DNA is decade old. This article introduces the initial idea of Set of Experience Knowledge Structure, its advancement into Decisional DNA, a... [more]

© 2015 IEEE. The concept of Decisional DNA is decade old. This article introduces the initial idea of Set of Experience Knowledge Structure, its advancement into Decisional DNA, and its potential for real life applications in divers domains. The most current and future research steps into Industry 4.0 are also presented and discussed

DOI 10.1109/CYBConf.2015.7175898
Co-authors Edward Szczerbicki
2015 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Virtual engineering object/virtual engineering process: A specialized form of cyber physical system for industrie 4.0', Procedia Computer Science (2015) [E1]

© 2015 The Authors. Published by Elsevier B.V. This paper reviews the theories, parallels and variances between Virtual Engineering Object (VEO)/Virtual Engineering Process (VEP) ... [more]

© 2015 The Authors. Published by Elsevier B.V. This paper reviews the theories, parallels and variances between Virtual Engineering Object (VEO)/Virtual Engineering Process (VEP) and Cyber Physical System (CPS). VEO and VEP is an experience based knowledge representation of engineering objects and processes respectively. Cyber-physical systems (CPSs) are the next generation of engineered systems in which computing, communication, and control technologies are tightly integrated. The analysis of basic concepts and implementation method proves that VEO/VEP is a specialized form of CPS and it can play a vital role in the structure building of Industry 4.0. Integration of the two models may result in intelligent machines and advanced analytics.

DOI 10.1016/j.procs.2015.08.166
Citations Scopus - 20Web of Science - 17
Co-authors Edward Szczerbicki
2014 Szczerbicki E, Maldonado Sanin C, Sheffer C, 'Viability of Decisional DNA in Robotics', Procedia Computer Science, Gdynia, Poland (2014) [E1]
DOI 10.1016/j.procs.2014.08.147
Co-authors Edward Szczerbicki
2014 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Decisional DNA based framework for representing virtual engineering objects', Intelligent Information and Database Systems, Bangkok, Thailand (2014) [E1]
DOI 10.1007/978-3-319-05476-6_43
Citations Scopus - 10Web of Science - 5
Co-authors Edward Szczerbicki
2014 Wang P, Sanin C, Szczerbicki E, 'A smart experience-based knowledge analysis system (SEKAS)', KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, Pomeranian Sci & Technol, Gdynia, POLAND (2014) [E1]
DOI 10.1016/j.procs.2014.08.141
Co-authors Edward Szczerbicki
2014 Shafiq SI, Sanin C, Szczerbicki E, Toro C, 'Implementing Virtual Engineering Objects (VEO) with the Set of Experience Knowledge Structure (SOEKS)', KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, Pomeranian Sci & Technol, Gdynia, POLAND (2014) [E1]
DOI 10.1016/j.procs.2014.08.146
Citations Scopus - 7Web of Science - 7
Co-authors Edward Szczerbicki
2011 Wang P, Maldonado Sanin CA, Szczerbicki E, 'Integration of decisional DNA and web crawler for knowledge discovery', Proceedings International Conference on Computational Intelligence and Software Engineering (CiSE 2011), Wuhan (2011) [E1]
Co-authors Edward Szczerbicki
2011 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Testing the usability of decisional DNA in digital TV', Proceedings International Conference on Computational Intelligence and Software Engineering (CiSE 2011), Wuhan (2011) [E1]
Co-authors Edward Szczerbicki
2011 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Knowledge quality measurement for the e-decisional community', Proceedings International Conference on Computational Intelligence and Software Engineering (CiSE 2011), Wuhan, China (2011) [E1]
Co-authors Edward Szczerbicki
2011 Wang P, Maldonado Sanin CA, Szczerbicki E, 'Application of decisional DNA in web data mining', Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011: Proceedings Part II, Kaiserslautern, Germany (2011) [E1]
DOI 10.1007/978-3-642-23863-5_64
Citations Scopus - 3Web of Science - 3
Co-authors Edward Szczerbicki
2011 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Decisional DNA applied to digital TV', Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011: Proceedings Part II, Kaiserslautern, Germany (2011) [E1]
DOI 10.1007/978-3-642-23863-5_68
Co-authors Edward Szczerbicki
2011 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'An approach to measure quality of knowledge in the e-decisional community', Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011: Proceedings Part II, Kaiserslautern, Germany (2011) [E1]
DOI 10.1007/978-3-642-23863-5_63
Citations Scopus - 2Web of Science - 2
Co-authors Edward Szczerbicki
2011 Szczerbicki E, Maldonado Sanin CA, 'Experiential knowledge in the development of decisional DNA (DDNA) and decisional trust for global e-decisional community', Computational Collective Intelligence Technologies and Applications Third International Conference, ICCCI 2011: Proceedings Part I, Gdynia, Poland (2011) [E1]
DOI 10.1007/978-3-642-23935-9_2
Citations Scopus - 1Web of Science - 1
Co-authors Edward Szczerbicki
2011 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Decisional DNA digital TV: Concept and initial experiment', Lecture Notes in Computer Science, Gdynia, Poland (2011) [E1]
DOI 10.1007/978-3-642-23935-9_50
Citations Scopus - 13Web of Science - 1
Co-authors Edward Szczerbicki
2011 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'An agent-based approach to measure knowledge quality', Information Systems Architecture and Technology: Service Oriented Networked Systems, Szklarska Poreba (2011) [E1]
Co-authors Edward Szczerbicki
2011 Wang P, Maldonado Sanin CA, Szczerbicki E, 'Web crawling experience management: Decisional DNA perspective', Information Systems Architecture and Technology: Web Information Systems, Knowledge Discovery and Hybrid Computing, Szklarska Poreba (2011) [E1]
Co-authors Edward Szczerbicki
2011 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Gaining knowledge through experience in digital TV', Information Systems Architecture and Technology: Web Information Systems, Knowledge Discovery and Hybrid Computing, Szklarska, Poreba (2011) [E1]
Co-authors Edward Szczerbicki
2010 Zhang H, Maldonado Sanin CA, Szczerbicki E, 'Towards decisional DNA-based cognitive embedded systems', ICET 2010. 2010 International Conference on Computer Engineering and Technology. Proceedings, Chengdu, China (2010) [E1]
DOI 10.1109/ICCET.2010.5486157
Co-authors Edward Szczerbicki
2010 Gomez Zuluaga G, Maldonado Sanin CA, Szczerbicki E, 'Intelligence infrastructure: Architecture discussion: Performance, availability and management', Knowledge-Based and Intelligent Information and Engineering Systems. 14th International Conference, KES 2010 Proceedings, Part II, Cardiff, UK (2010) [E1]
DOI 10.1007/978-3-642-15390-7_62
Citations Scopus - 1
Co-authors Edward Szczerbicki
2010 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Knowledge-based virtual organizations for the E-decisional community', Knowledge-Based and Intelligent Information and Engineering Systems. 14th International Conference, KES 2010 Proceedings, Part II, Cardiff, UK (2010) [E1]
DOI 10.1007/978-3-642-15390-7_57
Citations Scopus - 5Web of Science - 3
Co-authors Edward Szczerbicki
2010 Zhang H, Sanin C, Szczerbicki E, 'Decisional DNA applied to robotics', Knowledge-Based and Intelligent Information and Engineering Systems. 14th International Conference, KES 2010 Proceedings, Part II, Cardiff, UK (2010) [E1]
DOI 10.1007/978-3-642-15390-7_58
Citations Scopus - 4Web of Science - 3
Co-authors Edward Szczerbicki
2010 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'The e-decisional community: An integrated knowledge sharing platform', Conceptual Modelling 2010. Proceedings of the Seventh Asia-Pacific Conference on Conceptual Modelling (APCCM 2010), Brisbane, QLD (2010) [E1]
Co-authors Edward Szczerbicki
2009 Maldonado Sanin CA, Szczerbicki E, 'Constructing decisional DNA on renewable energy: A case study', Next Generation Applied Intelligence, Tainan, Taiwan (2009) [E1]
DOI 10.1007/978-3-642-02568-6
Citations Scopus - 1Web of Science - 1
Co-authors Edward Szczerbicki
2009 Toro C, Vaquero J, Posada J, Grana M, Maldonado Sanin CA, Szczerbicki E, 'User experience, ambient intelligence and virtual reality in an industrial maintenance domain using Protege', 11th International Protege Conference, Schedule, Amsterdam, Netherlands (2009) [E2]
Co-authors Edward Szczerbicki
2009 Maldonado Sanin CA, Szczerbicki E, Cayfordhowell P, 'Smart use of knowledge: A case study of constructing decisional DNA on renewable energy', Sustainability in Energy and Buildings: Proceedings of the International Conference in Sustainability in Energy and Buildings (SEB'09), Brighton, UK (2009) [E1]
DOI 10.1007/978-3-642-03454-1
Co-authors Edward Szczerbicki
2009 Toro C, Grana M, Posada J, Vaquero J, Maldonado Sanin CA, Szczerbicki E, 'Domain modeling based on engineering standards', Knowledge-Based and Intelligent Information and Engineering Systems 13th International Conference, KES 2009, Proceedings Part I, Santiago, Chile (2009) [E1]
DOI 10.1007/978-3-642-04595-0_12
Citations Scopus - 7Web of Science - 5
Co-authors Edward Szczerbicki
2009 Mancilla Amaya LE, Maldonado Sanin CA, Szczerbicki E, 'Towards the construction of a knowledge-oriented community', Information Systems Architecture and Technology: IT Technologies in Knowledge Oriented Management Process, Szklarska Poreba, Poland (2009) [E1]
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, 'A decisional trust implementation on a maintenance system by the means of decisional DNA and reflexive ontologies', Proceedings: 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology IAT 2008, Sydney, NSW (2008) [E1]
Citations Scopus - 4
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, Toro C, 'Towards a technology of trust: Decisional DNA and Reflexive Ontologies', Proceedings of the 2008 1st International Conference on Information Technology, IT 2008, Gdansk, Poland (2008) [E1]
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, 'On the construction of Decisional DNA: A reflexive knowledge structure', Proceedings of the 2008 1st International Conference on Information Technology, IT 2008, Gdansk, Poland (2008) [E1]
DOI 10.1109/inftech.2008.4621580
Co-authors Edward Szczerbicki
2008 Maldonado Sanin CA, Szczerbicki E, 'Decisional trust = decisional DNA + reflexive ontologies + security', Information Systems Architecture and Technology: Designing, Development and Implementation of Information Systems, Szklarska Poreba, Poland (2008) [E1]
Co-authors Edward Szczerbicki
2007 Maldonado Sanin CA, Szczerbicki E, 'Decisional DNA: A product of negotiating various dissimilar sets of experience knowledge structure', IPMM-2007. 6th International Conference on Intelligent Processing and Manufacturing of Materials. Conference Proceedings, Salerno, Italy (2007) [E1]
Co-authors Edward Szczerbicki
2007 Toro C, Maldonado Sanin CA, Vaquero J, Posada J, Szczerbicki E, 'Knowledge based industrial maintenance using portable devices and augmented reality', Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007. Proceedings, Vietri sul Mare, Italy (2007) [E1]
Citations Scopus - 16Web of Science - 12
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Creating the E-decisional Community through the Knowledge Supply Chain System', Excellence 2006, Lublin, Poland (2006) [E1]
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, Toro C, 'On the Semantics of a Knowledge Structure', Information Systems Architecture and Technology, Poland (2006) [E1]
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, Toro C, 'Developing an Ontology from Set of Experience Knowledge', ECOM-05 Interdisciplinary International Conference on E-Commerce CD-Rom, Gdansk, Poland (2006) [E1]
Co-authors Edward Szczerbicki
2006 Maldonado Sanin CA, Szczerbicki E, 'Similarity metrics for set of experience knowledge structure', Lecture Notes in Computer Science (Knowledge-Based Intelligent Information and Engineering Systems. 10th International Conference, KES 2006 Proceedings, Part I), Bournemouth, UK (2006) [E1]
DOI 10.1007/11892960_80
Citations Scopus - 2Web of Science - 2
Co-authors Edward Szczerbicki
2005 Maldonado Sanin CA, Szczerbicki E, 'Using XML for implementing set of experience knowledge structure', Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part I, Melbourne, Australia (2005) [E1]
Citations Scopus - 23Web of Science - 11
Co-authors Edward Szczerbicki
2005 Maldonado Sanin CA, Szczerbicki E, 'Why set of experience knowledge structure can be considered a knowledge representation for formal decision events?', Proceedings of the 26th International Scientific School Information Systems Concepts, Tools and Applications, Poland (2005) [E1]
Co-authors Edward Szczerbicki
2005 Maldonado Sanin CA, Szczerbicki E, 'Implementing the knowledge supply chain system', Proceedings of the 26th International Scientific School Information Systems Concepts, Tools and Applications, Poland (2005) [E1]
Co-authors Edward Szczerbicki
2004 Maldonado Sanin CA, Szczerbicki E, 'Macro processes of a knowledge supply chain system (KSCS)', Proceedings of the 25th International Scientific School, Wroclaw Poland (2004) [E1]
Co-authors Edward Szczerbicki
2004 Maldonado Sanin CA, Szczerbicki E, 'Knowledge supply system: a modelling platform for management decision-making', Proceedings of the Fifty Asia-Pacific Industrial Engineering and Management Systems Conference 2004, Gold Coast (2004) [E1]
Co-authors Edward Szczerbicki
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Research Supervision

Number of supervisions

Completed5
Current2

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2017 PhD Human Detection and Tracking Using Set of Experience Knowledge Structure (SOEKS) and Decisional DNA with Applications in Industrial Environments PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2017 PhD Product Development and Innovation by Using Set of Experience Knowledge Structure (SOEKS) and Decisional DNA PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2018 PhD Smart Innovation Engineering System PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2016 PhD Using Decisional DNA to Enhance Industrial Design and Manufacturing PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2014 PhD A Smart Experience-Based Knowledge Analysis System (SEKAS) PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2013 PhD Experience-Oriented Smart Embedded System PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
2012 PhD The E-decisional Community: An Integrated Knowledge Sharing Platform PhD (Mechanical Engineering), Faculty of Engineering and Built Environment, The University of Newcastle Co-Supervisor
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Dr Cesar Maldonado Sanin

Positions

Casual Academic
Priority Research Center for Energy/Computer Science
School of Engineering
Faculty of Engineering and Built Environment

Casual Academic
Priority Research Center for Energy/Computer Science
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Contact Details

Email cesar.maldonadosanin@newcastle.edu.au
Phone (02) 4921 7465
Fax (02) 4921 7468

Office

Room ES405
Building Eng.S
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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