Ensuring Secure Connectivity Through AI-Powered Wireless Systems

Prof. Valentina Emilia Balas Aurel Vlaicu University of Arad, 77 Revoluţiei Boulevard, Arad, 310130, Romania Academy of Romanian Scientists, 3 Ilfov Street, Bucharest, 050044, Romania balas@drbalas.ro ; valentina.balas@uav.ro Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. Cum Laude, in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 400 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. Dr. Balas is the Head of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Head of the Department of International Relations in the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in ten editions organized in the interval 2005-2022 and held in Romania and Hungary. Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker. Recently she was working in a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation. She is a member of European Society for Fuzzy Logic and Technology (EUSFLAT), member of Society for Industrial and Applied Mathematics (SIAM) and a Senior Member IEEE, member in Technical Committee – Fuzzy Systems (IEEE Computational Intelligence Society), chair of the Task Force 14 in Technical Committee – Emergent Technologies (IEEE CIS), member in Technical Committee – Soft Computing (IEEE SMCS). She is member in the Committee of IEEE Romania Section as Volunteers Training Coordinator and vice chair of IEEE Computational Intelligence Society Chapter – CIS 11. During the interval 2021-2022 she was a member of IEEE European Public Policy Committee Working Group on ICT. From May 2023 Dr. Balas is associate member of Romanian Academy of Scientists. Dr. Balas was past Vice President (awards) of IFSA - International Fuzzy Systems Association Council (2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India. She is the recipient of the “Tudor Tanasescu” Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023) and Diploma – Section Information Technology from The General Association of the Engineers in Romania (AGIR) 2023.

Hari Mohan Pandey works in data science and artificial intelligence at school of technology Bournemouth University, UK. They are featured in the 2022 World Ranking list of Top 2% scientist by Sandford University. They specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision. They have been an author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, my book entitle “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. They have published over 120 scientific papers in reputed journals and conferences. They are serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. They are a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. They have delivered expert talks as keynote and invited speaker. They are a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. They have delivered lecturers in the International summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In past, They worked as a sr. lecturer in computer science department at Edge Hill University. They also worked as a research fellow machine learning at the school of technology at Middlesex University London where they worked on a European Commission project- DREAM4CARS. My role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of the project, ensuring appropriate interfacing with partners.

Shilpa Mehta has completed her PhD degree from Auckland University of Technology, New Zealand. She has five years of teaching experience from different reputed colleges and universities of India. She has also worked as a Teaching Assistant at Auckland University of Technology (AUT), Auckland, New Zealand. Currently, she is working as an independent researcher. She was awarded Summer Doctoral Research Scholarship for her PhD research. She has worked on various interdisciplinary research projects and her research interests include Radio Frequency Integrated Circuits, RF front ends, Optimization, Internet of Things, Wireless Communication, Artificial Intelligence, Healthcare, Radars, and Software-defined Radios, Smart Cities. As an editor, she has edited four books with IGI Global and one with Nova Science Publishers. She is also working on different edited books to be published by IGI Global, Apple Academic Press, Scrivener-Wiley, Cambridge, and Springer Nature, respectively.

Dr. Vineeta Singh is presently associated with Department of Computer Science & Engineering, School of Engineering and Technology, Chhatrapati Shahu ji Maharaj University Kanpur, India. She has more than 10 years of teaching experience in different Engineering and Technological Institutions. She has guided more than 220 B.Tech. level projects and more than 2 M.Tech. level Projects. She is Ph.D. in CSE from the Harcourt Butler Technical University Kanpur, India and M.Tech from Dr. APJ Abdul Kalam Technical University Lucknow as well as B.Tech with honours from UPTU Lucknow India. Her area of research includes Deep learning, Image Processing, Cyber Security, Data Mining and Biometrics. She has 43+ Scopus/SCIE Publications and 20+ are in pipeline. She also worked as reviewer in different international conferences organized by IIT BHU (ANTIC-BHU) Varanasi and NIT Arunachal Pradesh. She is also working as reviewer in SCIE indexed journals such as IET Image Processing, Scientific Reports, Signal Image and Video Processing, Journal of Scientific and Industrial Research and many more. She is also associated as an editor with five ongoing projects as edited Books pertaining to renowned publishers such as Bentham Science, Wiley Scrivener. She has two Indian Granted Patents “Artificial Tree for oxygen production and atmospheric purification” and SMART BOOK FOR TRACKING STUDENTS’ LEARNING PROGRESS and third one is in process. She has three design based grants accepted and 6 in process. She has one UK design grant.

Dr. Kapil Joshi is an Associate Professor in the department of Computer Science & Engineering (CSE) at Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand, India. He has completed his Ph.D, topic on “Image Quality Enhancement using Fusion Technique” in computer science and engineering from Uttaranchal University, Dehradun. He has more than 10 years' experience in industry, academic, and research. His areas of interest are Operating System, Computer Networks, Web Technology, Data Structure and Java etc. His research areas are deep learning, CNN, Computer vision etc. He has published various patents, 400+ research papers in reputed journals (UGC/Scopus) as well as published 20+ books in international publication. Dr. Kapil Joshi has published more than 50+ research papers in various international journals (including ISI/SCI indexed). He has also been associated with many conferences at National and International level and organized many conferences like STEM-2017, ICACDS-18, ICAESMT-19, ICAEST-20, ICAEST-21, ICIS-22, ICNN-22, IDVRP-22, ICAEST-22 and ICAEST-23. He was also a student member of IEEE UP section in session 2019-20 and editorial member, guest editor and technical reviewers in various reputed national/international journals like Springer, Elsevier and Taylorfrancis etc. Dr. Joshi organized several conferences and has been invited as a key-speaker in various workshops/conferences. Dr. Joshi has filed/published more than 30 patents. He has written 5+ books and more than 20+ book chapters in the reputed publications.