ICENIT 2025

Ljiljana Trajkovic

Professor, Simon Fraser University, Canada.

Research field: Communication Network; Nonlinear Circuits and Systems.

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems. She was a Distinguished Lecturer of the IEEE Circuits and System Society and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society. She is a Fellow of the IEEE.

Nancy R. Mead

Adjunct Professor, Carnegie Mellon University, USA.

Research field: Software Engineering Education; Software Assurance; Software Requirements Engineering.

Nancy R. Mead is a Fellow (ret.) at the Software Engineering Institute (SEI) and an Adjunct Professor of Software Engineering at Carnegie Mellon University.  She is known for her work in software and security requirements engineering and the development of software engineering and software assurance curricula.  She also served as Director of Software Engineering Education for the SEI from 1991 to 1994. Her research interests are in the areas of software requirements engineering, and software assurance. Prior to joining the SEI, Mead was a senior technical staff member at IBM, where she developed and managed large real-time software projects. She has developed and taught numerous courses on software engineering and software assurance topics, both at universities and in professional education courses. Mead has authored more than 200 publications and invited presentations. Her awards and honors include: Life Fellow of the IEEE, Distinguished Member of the ACM, IEEE TCSE Distinguished Educator, Parnas Fellow at Lero the Irish Software Research Center, IEEE Distinguished Visitor Program. She is currently Executive Vice Chair of the IEEE TCSE Executive Board. The Nancy Mead Award for Excellence in Software Engineering Education is named for her.  Mead received her BA, MS, and PhD in Mathematics from New York University.

Pascal Lorenz

Professor, University of Haute-Alsace, France.

Research field: QoS; Wireless Networks and High-speed Networks.

Pascal Lorenz (lorenz@ieee.org) received his M.Sc. (1990) and Ph.D. (1994) from the University of Nancy, France. Between 1990 and 1995 he was a research engineer at WorldFIP Europe and at Alcatel-Alsthom. He is a professor at the University of Haute-Alsace, France, since 1995. His research interests include QoS, wireless networks and high-speed networks. He is the author/co-author of 3 books, 3 patents and 200 international publications in refereed journals and conferences. He was Technical Editor of the IEEE Communications Magazine Editorial Board (2000-2006), IEEE Networks Magazine since 2015, IEEE Transactions on Vehicular Technology since 2017, Chair of IEEE ComSoc France (2014-2020), Financial chair of IEEE France (2017-2022), Chair of Vertical Issues in Communication Systems Technical Committee Cluster (2008-2009), Chair of the Communications Systems Integration and Modeling Technical Committee (2003-2009), Chair of the Communications Software Technical Committee (2008-2010) and Chair of the Technical Committee on Information Infrastructure and Networking (2016-2017), Chair of IEEE/ComSoc Satellite and Space Communications Technical (2022-2023), IEEE R8 Finance Committee (2022-2023), IEEE R8 Conference Coordination Committee (2023). He has served as Co-Program Chair of IEEE WCNC'2012 and ICC'2004, Executive Vice-Chair of ICC'2017, TPC Vice Chair of Globecom'2018, Panel sessions co-chair for Globecom'16, tutorial chair of VTC'2013 Spring and WCNC'2010, track chair of PIMRC'2012 and WCNC'2014, symposium Co-Chair at Globecom 2007-2011, Globecom'2019, ICC 2008-2010, ICC'2014 and '2016. He has served as Co-Guest Editor for special issues of IEEE Communications Magazine, Networks Magazine, Wireless Communications Magazine, Telecommunications Systems and LNCS. He is associate Editor for International Journal of Communication Systems (IJCS-Wiley), Journal on Security and Communication Networks (SCN-Wiley) and International Journal of Business Data Communications and Networking, Journal of Network and Computer Applications (JNCA-Elsevier). He is senior member of the IEEE, IARIA fellow and member of many international program committees. He has organized many conferences, chaired several technical sessions and gave tutorials at major international conferences. He was IEEE ComSoc Distinguished Lecturer Tour during 2013-2014.

Danilo Avola

Assistant Professor, Sapienza University of Rome, Italy.

Research field: Computer Vision; Image/ Video Processing; Human Computer Interaction; Wi-Fi Signal Processing; Egg Signal Processing; Machine/ Deep Learning; Multimodal Systems; Pattern Recognition; Event/ Action/ Affect Recognition; Action; Scene Understanding.

Danilo Avola earned his Ph.D. degree in Molecular and Ultrastructural Imaging from University of L'Aquila, L'Aquila, Italy, in 2014. Since 2021 he is Assistant Professor at the Department of Computer Science of Sapienza University of Rome, where he leads both the Robotics Vision and Artificial Intelligence Laboratory (TITAN Lab) and the Computer Vison Laboratory (VisionLab). In addition, since 2018 he is R&D Senior Engineer at the W•SENSE s.r.l., a spin-off of Sapienza University of Rome, where he leads the Computer Vision Team (CVT), and since 2010 he provides consultation and collaboration to companies engaged in computer science, computer vision, and artificial intelligence research projects. In addition, he is Associate Editor and Guest Editor of different ranked International Journals. His research interests include Computer Vision, Image/Video Processing, Human Computer Interaction, Wi-Fi Signal Processing, EGG Signal Processing, Machine/Deep Learning, Multimodal Systems, Pattern Recognition, Event/Action/Affect Recognition, Action, Scene Understanding, Body Language and Face Expression Interpretation, Robotics (UAVs, AUVs, ROVs, Humanoids), and has published around 100 papers on these topics. Since 2011, Danilo Avola is member of IAPR, CVPL, and IEEE.

Vincent CS Lee

Associate Professor, Monash University, Australia.

Research field: Signal and Information Processing; Adaptive Knowledge Representation and Information Engineering; Educational Data Mining; Decision Theory; Information System Research based on Design Science Paradigm.

Vincent CS Lee is currently an Associate Professor (top Level D professorial) with the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University in Melbourne. He is an elected Fellow of The Institute of Engineers, Australia (FIEAust), a Senior Member of IEEE (USA). His education qualifications include PhD degree from The University of Newcastle, NSW in Australia, Bachelor and Master degrees in EEE, both from the National University of Singapore; MBA from Henley Management College in Oxford, Brunel University, England; BBus (Hons 1st class in Economics & Finance) and MBus (Accountancy), both from RMIT University in Melbourne. He is an active researcher and educator (with Graduate Certificate in Higher Education Teaching from Monash University) with 30 years as academicians for four universities including Monash University and Swinburne University, both in Melbourne, joint Monash-South East University in Suzhou, Nanyang Technological University in Singapore. He was visiting Professors with School of Economics and Management, and School of Computing and Technology, Tsinghua University in Beijing. Lee’s research and higher education teaching (developed and delivered undergraduate and postgraduate courses) span multi-disciplinary domains across IT, Digital Health, Signal and Information Processing, Financial Engineering (FinTech), Educational Data Mining (with learner-centric education technology tools), Explainable AI, Deep ML, Computer Vision for dynamic objects tracking, and Multiagent Autonomous Systems. Lee has published 200+ papers in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Signal Processing, IEEE Selected Areas in Communications, European Journal of Operational Research, Expert Systems with Applications, Neurocomputing, Journal of Educational Computing Research; and in CORE A/A* Peer-review International Conferences proceedings (AAAI, IJCAI, ICDM, ICWS, ICDE, PAKDD, CIKM, WWW, IEEE IC Signal Processing, IC-EDM). Lee also served as invited keynote speakers for a number of these IEEE and ACM Flagship conferences’ and General Chair, Co-chair of steering committees ICET23, Xi’an, and Co-chair technical programs for IC MET2023, Macau. He is an Associate Editor for Journal of Intelligent Manufacturing (Springer, SCImago Journal Rank Best Quartile Q1).

Neil Gordon

Professor, University of Hull, UK.

Research field: Finite Geometry and Applications; HCI, Gamification and Computer-based Instruction; Computer Algebra; Safety and Reliability Analysis; Telehealth; Technology Enhanced Learning and Information Systems.

Neil is a Professor in Computer Science, a National Teaching Fellow, and a Principal Fellow of AdvanceHE. He has produced a number of reports for AdvanceHE, in particular on how technology enhanced learning can enable flexible pedagogy, on the role of assessment in education, and on ways to address issues in retention and attainment in computing education. His research interests include applications of computer science to enable true technology enhanced learning, issues around sustainable development, as well as more discipline specific work on applications of computer algebra and formal methods.

Vladan Devedzic

Professor, University of Belgrade, Serbia.

Research field: Artificial Intelligence; Programming Education; Software Engineering; Intelligent Software Systems; Technology-Enhanced Learning (TEL).

Vladan Devedzic is a Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia. He also used to teach several Computer Science and software Engineering courses at other universities, including University of Canterbury, New Zealand. Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). He is the founder and the chair of the GOOD OLD AI research network. He is also the founder of the Artificial Intelligence Laboratory at his home faculty. Vladan Devedzic has authored/co-authored more than 380 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. So far, he has given more than 20 Keynote and Plenary talks at international conferences, as well as more than 20 tutorials. His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence/ Intelligent Systems and Software Engineering.

Xiangjie Kong

Professor, Zhejiang University of Technoligy, China.

Research field: Big Data; Network Science and Computational Social Science.

Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences. His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.

Boddu Raja Sarath Kumar

Professor, Lenora College of Engineering, India.

Research field: Machine Learning; Big Data.

Prof. (Dr.) Raja Sarath Kumar Boddu presently working as a Professor, at the Faculty of Computer Science and Principal at Lenora College of Engineering with 22 years of experience in Engineering Education. Dr. Boddu has authored 5 books in Computer Science published 84 research papers in peer-reviewed journals and presented at international professional conferences and invented 7 Computer Science patents. Dr. Boddu is presently, pursuing a Post Doctoral Research Fellow, from the University of South Florida, USA. Dr. Boddu earned a Post Graduate Certificate in Business Administration from IIM-Visakhapatnam, Ph.D., and a Master’s from Andhra University in Computer Science, Visakhapatnam, India. Dr. Boddu has supervised 17 PG and 10 groups of UG dissertations so far, supervising 3 Ph.D. students, Keynote Speaker at International conferences, and traveled 4 countries on research work. Dr. Boddu’s general research areas are Artificial Intelligence, Machine Learning, IoT, Deep Learning, Data Science, and Big Data. Further, Dr. Boddu is a Fellow of IEI(India), a Senior Member of IEEE and ACM, and a Life Member of IETE, ISCA, and CSI. Dr. Boddu serves as a reviewer for Springer’s Journal of Supercomputing, IEI Springers, Hindawi, Tech Science Press, Information Sciences, and IEEE Access journals.