ELECOM 2024
The 5th International Conference on
Emerging Trends in Electrical, Electronic and Communications Engineering
Professor Anil Jain
Anil Jain is a University Distinguished Professor and Douglas E. Zongker endowed professor at Michigan State University For his many advances in pattern recognition, computer vision and biometric recognition, Jain was inducted into the United States National Academy of Engineering, Indian National Academy of Engineering, The World Academy of Sciences, Chinese Academy of Sciences and the National Academy of Inventors. Jain served as the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence and was awarded the Guggenheim, Humboldt and Fulbright fellowships along with the IAPR King-Sun Fu Prize. He was appointed to the Defense Science Board and the, Forensic Science Standards Board. He has authored foundational books in both biometrics and pattern recognition, including Introduction to Biometrics, Handbook of Face Recognition, Handbook of Fingerprint Recognition, and Algorithms for Clustering Data. For his plethora of discoveries and applications in biometrics, his service to the research community, and his extensive mentorship, Jain was awarded Doctor Honoris Causa by Universidad Autónoma de Madrid, Hong Kong University of Science and Technology and Hong Kong Baptist University. His list of publications is available at Google Scholar: https://scholar.google.com/citations?user=g-_ZXGsAAAAJ&hl=en
Keynote Speech – Biometric Recognition: How do I Know Who You are?
Abstract: A wide variety of routine transactions and access requires reliable person recognition schemes to either confirm or determine “who we are”. The purpose of such schemes is to ensure that the rendered services are granted only to a legitimate user, and not anyone else. Examples of such applications include access to mobile phones, buildings and computer networks; access to healthcare and social benefits; travel across international borders; and secure financial transactions. Commonly used authentication schemes based on Password, PIN and ID cards are vulnerable to the wiles of an impostor. Biometric recognition, or simply biometrics, refers to the automated recognition of individuals based on their anatomical and/or behavioral characteristics (i.e., face, fingerprint, iris and voice). Using biometric traits, it is possible to confirm or establish an individual’s identity based on “who she is”, rather than by “what she possesses” (e.g., an ID card) or “what she remembers” (e.g., a password). In this talk, I will give a brief overview of the field of biometric recognition, advances in biometric trait representation (feature vector) and similarity measure, state-of-the art performance (both accuracy and latency), privacy concerns and emerging research directions.
Dr Boris Dumnic
Dr Boris Dumnic is with the University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia since 2004. He received Ph.D. degree in electrical engineering from the University of Novi Sad, Serbia, in 2013 and was promoted to the rank of Assistant Professor in 2013, to the rank of Associate Professor in 2018 and to the rank of Full Professor in 2023. From 2010 until 2018, he was the director of the faculty Centre - Centre for Renewable Energy Sources and Power Quality - CRESPQ. He was on the position of director of Department for Power, Electronics and Telecommunications Engineering in the period 2015 – 2020. From 2018 he is Head of Chair for power electronics and converters and currently he is Dean of Faculty.
The focus of his current research is on renewable energy systems, distributed energy resources, integration of DER in active distribution system, power electronics, e-mobility and electrical machines and drives. He published numerous scientific papers/articles in international and national scientific events including significant number in top ranked international peer-reviewed journals. His research group is coordinating IPA CBC RESCUE project – “Renewable Energy Sources for smart sustainable health Centers, University Education and other public buildings” and was involved in IPA HUSRB REVLAB – “Renewable energy virtual laboratory”, TEMPUS “Cost Effective & Environmentally Friendly Energy Systems” and numerous other R&D and industrial projects funded by the EU, National projects funded by the Serbian Government and Provincial Vojvodina Secretariats.
He is IEEE Member and past chair of IEEE Serbia and Montenegro Section.
Keynote Speech – Advanced Control Strategies for Wave Energy Conversion System
Abstract: Ocean energy is an inexhaustible source of potential, and research in this field is advancing rapidly. Among the various technologies currently being developed, wave energy converters (WEC) are receiving special attention, although they face challenges such as efficiency and economics. This paper provides a comprehensive overview of WEC technologies, with a focus on point absorbers type of WEC. Point absorbers are gaining significant interest due to their adaptability and efficient utilization of wave energy under various ocean conditions. Also, the paper addresses the efficiency of WEC technologies, and emphasizes the necessity of maximizing energy conversion to improve overall performance and promote commercial feasibility. Within this context, the paper presents an in-depth analysis of a specific point absorber device developed by Sigma Energy and deployed in the Adriatic Sea, highlighting its operational efficiency in real conditions, and providing valuable insights into future advancements. Furthermore, the paper discusses various technological approaches for improving the efficiency of point absorbers type of WEC. This includes exploring different control strategies based on the parameters of the primary energy source – the waves. Through the synthesis of research findings and case study, this paper contributes to the understanding of wave energy technologies and provides valuable insights to improve their efficiency and sustainability.
ELECOM 2024
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