Atef Z. Elsherbeni received his B.Sc. degrees in Electronics & Communications and Applied Physics, and an M.Eng. in Electrical Engineering from Cairo University, Egypt, in 1976, 1979, and 1982, respectively. He earned his Ph.D. in Electrical Engineering from the University of Manitoba, Canada, in 1987. Dr. Elsherbeni began his career as a Software and System Design Engineer in Cairo (1980-1982) before serving as a Post-Doctoral Fellow at Manitoba University (1987). He then joined the University of Mississippi, progressing from Assistant Professor (1987) to Professor (1997) and serving as Associate Dean for Research and Graduate Programs (2009-2013). In 2013, he joined the Colorado School of Mines as the Dobelman Distinguished Chair Professor, later serving as Interim Department Head (2015-2016) and Electrical Engineering Department Head (2016-2018). He has held visiting positions at UCLA, Magdeburg University, and Tampere University of Technology and was named a Finland Distinguished Professor in 2009. An IEEE Life Fellow and ACES Fellow, Dr. Elsherbeni serves as Editor-in-Chief of ACES Journal and has held leadership roles in IEEE and ACES. He was General Chair of the 2014 APS-URSI Symposium and ACES President (2013-2015). Dr. Elsherbeni is an IEEE AP-S Distinguished Lecturer (2020-2023) and has received numerous accolades, including the 2023 IEEE APS Harrington-Mittra Award and the 2025 ACES Computational Electromagnetics Award for his contributions to computational electromagnetics and hardware acceleration.

Dr. Cristina Murillo Gómez received her Bachelor’s degree in economics and business administration from the University of the Basque Country/Euskal Herriko Unibertsitatea de San Sebastián. PhD in Project Management with a specialization in Corporate Social Responsibility. Master’s degree in systems development in Internet Environments. Master’s degree in social Entrepreneurship, Leadership, and Open Innovation. European President of the Silicon Europe Alliance (2023) and National Vice President of the National Federation of Innovative Business Groups and Clusters since 2020. Coordinates the Basque Microelectronic Hub initiative in the Basque Country. Her duties include representing GAIA in European and international alliances. She defines, designs, and develops projects that directly or indirectly respond to the needs of member companies and other clients, as well as the internal needs of the cluster itself.

Maria Begona Pena-Lang with a European vision, she collaborates as an expert advisor in R&D&I for the European Commission, standing out in the design of innovation strategies at continental level. She is Director and Principal Researcher of the BASQUE Data Institute, a center oriented to the development of competitive intelligence models with transversal application in different productive and service sectors. She also directs the Smart Grids Academy, a pioneering international platform for its scientific methodology for the training of talent in the energy transition and the future of smart grids. This project is developed in collaboration with the Provincial Council of Bizkaia, BASQUE Data Institute, the GAIA Cluster and Iberdrola's Global Smart Grids Innovation Hub. At the same time, she is Director of Data Economy at GAIA - Cluster of Knowledge Industries and Applied Technology of the Basque Country (ICTA), leading the design of competitive intelligence models, such as the one developed for the Biqain project (Bizkaia Quantum Advanced Industries). Currently, she is an Ambassador for Scientix for the promotion of science in Europe and participates in several committees to support entrepreneurship, including the Massachusetts Institute of Technology (MIT) and the Bizkaia Mentoring Network. In addition, she directs the European Skills Observatory, EUROPE Skills, focused on the improvement of digital skills and the generation of scientific evidence with social and economic impact. She complements her academic work as a lecturer and researcher at the Bilbao School of Engineering of the University of the Basque Country (UPV/EHU). Her research interests focus on data economics, data strategy and governance, the design of competitive intelligence models based on emerging technologies, the development of advanced digital competences (tech skills) and technological innovation applied to strategic sectors such as energy transition and smart grids.

Luigi Fortuna was born in Siracuse (ITALY) in 1953. He received the degree of Electrical Engineering (cum laudae) from the University of Catania in 1977. He was researcher in Electronics up to 1987 when he became Associate Professor of Automatic Control. In that a period he was more time visiting researcher at the JET (Joint European Torus) in Abington (UK) where he worked in the design of control apparatus of the JET machine. Since 1994 he is Full Professor of System Theory. Since 1987 he taught 75 courses at the University of Catania regarding all the topics related to Automation, Operative Research and Bioengineering.

Alireza Shirani is a well-educated engineer with more than 30 years’ experience in Research, Consultancy, and Management. Supervisor of more than 10 Ph.D. students and more than 50 MScs. Expert in electric power system planning and most management skills. Recognized nationally and internationally as a distinguished engineer and awarded more than 200 appreciation letters from top national and international officers. Well-oriented and structured character and high capability in team formation and project execution. I have visited more than 60 countries around the world and have a good knowledge of the cultures of different nations; completely familiar with engineering tools, management tools, and, last but not least, artificial intelligence. Keynote speaker at many national and international conferences and active member of many international and national study committees and working groups. Publish and present more than 100 national and international papers and, last but not least, manage more than 500 research projects and 1500 consultancy projects in different engineering fields, including electric power, Electronic, communication, material and metallurgy, civil, mechanic (fluid and solid), chemistry, structure, and management.

Wenwu Wang is a Professor in Signal Processing and Machine Learning and an Associate Head in External Engagement, School of Computer Science and Electronic Engineering, University of Surrey, UK. He is also an AI Fellow at the Surrey Institute for People Centred Artificial Intelligence. His current research interests include signal processing, machine learning and perception, artificial intelligence, machine audition (listening), and statistical anomaly detection. He has (co)-authored over 400 papers in these areas. His work hasreceived numerous recognitions, including the 2022 IEEE Signal Processing Society Young Author Best Paper Award, ICAUS 2021 Best Paper Award, DCASE 2020 and 2023 Judge’s Award, DCASE 2019 and 2020 Reproducible System Award, and LVA/ICA 2018 Best Student Paper Award.He is a Senior Area Editor (2025-2027) for IEEE Open Journal of Signal Processing, and an Associate Editor (2024-2026) for IEEE Transactions on Multimedia. He was previously a Senior Area Editor (2019-2023) and an Associate Editor (2014-2018) for IEEE Transactions on Signal Processing, and an Associate Editor (2020-2025) for IEEE/ACM Transactions on Audio Speech and Language Processing. He was the elected Chair (2023-2024) of IEEE Signal Processing Society (SPS) Machine Learning for Signal Processing Technical Committee and a Board Member (2023-2024) of IEEE SPS Technical Directions Board.He is currently the elected Chair (2025-2027)of the EURASIP Technical Area Committee on Acoustic Speech and Music Signal Processing, and an elected Member (2021-2026) of the IEEE SPS Signal Processing Theory and Methods Technical Committee. He has been on the organising committee ofmajor conferences including INTERSPEECH 2022, IEEE ICASSP 2019& 2024, IEEE MLSP 2013& 2024, and IEEE SSP 2009.He is Technical Program Co-Chair of IEEE MLSP 2025. He has been an invited Keynote or Plenary Speaker on more than 20 international conferences and workshops.

Abul Azad is a Professor in the Engineering Technology Department at the College of Engineering and Engineering Technology at Northern Illinois University (US), where he has also served as Associate Dean. His expertise is in systems engineering and its practical applications, with a particular focus on the internet of things (IoT), cyber-physical systems (CPS), mobile robotics, and engineering education. Professor Azad has secured competitive research and development funding in both Europe and the U.S. and has published numerous technical papers and books. He holds leadership roles in various professional organizations and manages editorial responsibilities for several technical journals. He previously served as President of the Global Online Laboratory Consortium (GOLC) and Vice-President of the International Association of Online Engineering (IAOE). Currently, he is the Secretary of the IEEE Learning Technology Standards Committee (LTSC). Professor Azad has also been a program evaluator for the Accreditation Board for Engineering and Technology (ABET) and active in evaluating research and development projects for national and international funding agencies.

Mohamed El Hadidy (Senior Member, IEEE) received his M.Sc. in Electrical and Communications Engineering (with distinction) from the University of Kassel, Germany, in 2004. In 2005, he was awarded a doctoral scholarship from the German Academic Exchange Service (DAAD). This enabled him to complete his PhD in 2009 at the Institute for Communication Technology at the Leibniz University of Hanover. From 2009 to 2010, he worked as Assistant Professor for Electronics and Communications Engineering at the German University in Cairo, Egypt, leading international research projects on UWB MIMO communication systems, Cognitive Radios and Interference Alignment Wireless Technologies. From 2010 to 2018, he was a research group leader at the Institute of Digital Signal Processing at the University of Duisburg-Essen. In March 2018, he received the title of Professor for Electrical Engineering and Information Technology at the FOM University of Applied Sciences in Düsseldorf, Germany. From March 2022, he is Professor of IoT and Digital Communication Technology at RheinMain University in Germany. Prof. El Hadidy is a reviewer for several international IEEE transactions and conferences. He chaired the IEEE Middle East Conference on Antennas and Propagation 2016 and has been a keynote speaker and co-chair of several IEEE conferences. He has received the Simulia Champoin Award for the year 2025 and he is recently leading several research projects with Monash University in Australia on Chipless RFID Systems. He has more than 80 international publications, one patent and two books.

Hessam Mahdavifar is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University and an Adjunct Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He received the B.Sc. degree from the Sharif University of Technology, Tehran, Iran, in 2007, and the M.Sc. and the Ph.D. degrees from the University of California San Diego (UCSD), La Jolla, in 2009, and 2012, respectively, all in electrical engineering. He was with the University of Michigan, first as an Assistant Professor and later as an Associate Professor, between 2017 and 2023. Before that, he was with the Samsung US R&D between 2012 and 2016, in San Diego, US, as a staff research engineer. He has received a number of awards including the NSF career award in 2020, the Best Paper Award in 2015 IEEE International Conference on RFID, and the 2013 Samsung Best Paper Award. He also received two Silver Medals at the International Mathematical Olympiad in 2002 and 2003, and two Gold Medals at Iran National Mathematical Olympiad in 2001 and 2002.

Dr. Farhad Rezazadeh received the Ph.D. degree (Excellent Cum Laude) in Signal Theory and Communications from Technical University of Catalonia (UPC), Barcelona, Spain. He is currently an R&D engineer at the CTTC, Barcelona, Spain. He participated in 8 European and National 5G/B5G/6G R&D projects with leading and technical tasks in the areas of Applied AI and XAI. His AI innovation in B5G/6G resource allocation was recognized as a great EU-funded Innovation by the European Commission's Innovation Radar. He was awarded the first patent connected to the H2020 5G-SOLUTIONS project. He was a secondee at NEC Lab Europe and had scientific missions at TUM, Germany, TUHH, Germany and UdG, Spain. He is a Marie Skłodowska-Curie Ph.D. grantee and won 5 different IEEE/IEEE ComSoc grants, 2 European Cooperation in Science and Technology grants, and a Catalan Government Ph.D. Grant. He is an active member of IEEE Young Professionals and IEEE Spain - Technical Activities and Standards with more than 30 top-tier journals/conferences and book chapters. He actively serves as Organizing, Chair, Reviewer, and TPC member in IEEE and Guest Editor in Elsevier. He has over 220 verified reviews for peer-reviewed publications. He coordinates the Trustworthy Internet of Things (TRUST-IoT) working group within the IEEE IoT Community.

Dr. Latif Ladid is a recognized leader in Internet technologies, he is the Founder and President of the IPv6 Forum and an Emeritus Trustee of the Internet Society. He has played a pivotal role in advancing next-generation networking as the Founding Co-Chair of the IEEE Future Networks World Forum 2024, and as Board Chair of both the IPv6 Ready Logo Program and the IPv6 Education Program. With extensive experience in international standardization and innovation, he has served in leadership roles across major organizations, including 3GPP, IEEE, and ETSI, and has been a driving force behind initiatives such as the EU Public Safety Forum. He was also a Research Fellow at the University of Luxembourg, contributing to numerous European Commission projects on next-generation technologies. His contributions have earned him global recognition, including the IPv6 Forum Internet Pioneer Award (2002) and the IPv6 Lifetime Achievement Award (2016).

Naoki Nishikawa is a Deputy Manager at Digital Innovation Headquarters, Mitsubishi Heavy Industries (MHI). He received a Master's degree in Environmental Studies from the University of Tokyo in 2012 and a Ph.D. in Information Science from Nagoya University in 2019. His expertise involves systems modeling, optimization, data analytics, AI and machine learning techniques, and intelligent control algorithms. He is also interested in autonomy, multi-agent systems and human-computer interaction. Since joining MHI in 2012, he has been engaged as an industry expert in developing shared technologies in the field of information processing and has applied those technologies across diverse business sectors such as energy and power systems, robotics, mobility, infrastructure, and logistics. He currently leads a research and development team focused on advancing the real-world application of AI solutions and is responsible for promoting digitalization and intelligence across products and engineering processes within the MHI Group. Notably, many of his research topics relate to various key points along the lifecycle of electric power, covering from generation to consumption as well as transmission/distribution networks and energy storage. His technical efforts for those applications include inventing new control mechanisms, developing advanced energy management systems, and applying data analytics and machine learning techniques for demand forecasting, operational optimization, and predictive maintenance strategies. As part of his public contributions, he recently served as a panelist at the Prognostics and System Health Management Conference (PHM 2024), where he discussed advancements in predictive maintenance strategies and presented his research on soft sensor technology for heat- pumps at the Sustainable Energy and Environmental Protection Conference (SEEP 2024).

Dr. Seyed Mahdi Darroudi received his PhD in Computer Network from Polytechnic University of Catalunya (UPC), Spain. He has +15 years of experience and research on different wireless network technologies like WiFi, LPWAN, satellite communication and cellular networks. He is currently R&D manager at Neutroon. He has experience of participating in 12 European and national Spanish research and investigation projects where his roles have been research assistant, main responsible researcher, task leader, work package leader, team leader and responsible coordinator. He has also +5 years of academic collaboration, including lecturing, BSc/MSc/PhD co-advisor, etc. Apart from a wide range of publications, he is honored to be co-author of RFC 9159 standard. He also has had deep collaboration with high-ranking journals and conferences by being peer reviewer, delivering keynote, chairing technical sessions, technical committee member, etc.

Amar is professionally experienced AUP R&D 28 years. He has accrued laboratory and engineering including radiation lab involving specialized instrumentation combined experience in quality assurance, and control and research and development (LENR) approx. 26 years. Amar has professional communications experience (includes sales and marketing of products) of nearly 31 years including making films, talk radio, public presenter, and written works found through various media platforms. Amar has taught and coached K-12 and higher education in several capacities (academic advisor, mentor, adjunct instructor, licensing instructor, teacher, tutor, and demonstrator) accruing 18 years. In addition, Amar worked in private security and maintenance accruing at least 22 years involving direct public interface (legally documenting most if not all human/sometimes wild animal activities from the normal to the abnormal including the need for variety of official public resources frequently involving law enforcement, and rare instances detectives. Lastly, Amar has subjectively and objectively investigated (including a lead in personal encounters with “peri” normal investigators) high strangeness (including personal tragedies) stemming back to circa late 1970s to the present day. All of Amar’s professional experienced years overlap.

Paankaj Kulkarni (Senior Member, IEEE USA) is a distinguished telecom professional with over 16 years of impactful experience in cellular telecommunications, spanning 2G to 5G and now leading advancements in 6G technologies. He currently serves as the 6G AI-ML RAN Innovation Lead at HNNOIX, India, a cutting-edge telecom startup, where he focuses on patent creation, 3GPP standardization, and pioneering research in next-gen wireless communication. A graduate in Electronics Engineering from Pune University, India, Paankaj specializes in embedded multi-core DSP software architecture, firmware, and system optimization. His technical expertise extends across 3GPP standardization (5G-Advanced & 6G), AI-ML for physical layer design, and real-time telecom embedded systems. Over his career, he has held leadership roles at major global firms including Nokia, Alcatel-Lucent, Radisys, and PureSoftware, driving critical LTE, 5G (DU and RU), and ORAN projects. At HNNOIX, he represents the company as a 3GPP RAN delegate, actively shaping the evolution of wireless standards. Paankaj is a recognized Senior Member of IEEE and a reviewer for top-tier IEEE conferences. His contributions include co-authoring chapters in an upcoming international 6G publication and filing multiple patents, especially in AI-enhanced physical layer innovations. His achievements include the BRAVO Award (PureSoftware), Appreciate Excellence Award (Nokia), and recognition as a Nationwide Topper in an NPTEL 5G course by IIT Kanpur. As a keynote speaker at ISEEE 2025, he brings a visionary outlook, real-world expertise, and a deep passion for wireless innovation and its future.

Ahmed M. A. Sayed is an Associate Professor in the School of Electronic Engineering and Computer Science at Queen Mary University of London, where he directs the MSc Data Science programme and leads the SAYED Systems Group. His research focuses on designing scalable, adaptive, and efficient distributed systems, with particular emphasis on decentralised AI federated learning, privacy-preserving ML, and networked systems. He is the Principal Investigator of the UKRI-EPSRC-funded KUber project, in collaboration with Nokia Bell Labs, Samsung AI, and IBM Research, aiming to develop knowledge delivery systems for machine learning at scale. Previously, he held research positions at Huawei Future Networks Lab and KAUST, contributing to advancements in network optimization and distributed systems. His work has been published in leading venues such as NeurIPS, ICLR, MLSys, IEEE INFOCOM, IEEE ICDCS and ACM EuroSys

Prof. Hanshen Li received his B.S.E. degree in Electric Power Engineering and Automation from Shanghai Jiao Tong University (SJTU), Shanghai, China, and the M.E. degree in Information, Production and Systems Engineering from Waseda University, Tokyo, Japan, and M.E. degree in Electrical Engineering from SJTU, and the Ph.D. degree in Electrical Engineering in North China Electric Power University (NCEPU), Beijing, China. Prof. Li has been a researcher at China Electric Power Planning and Engineering Institute (EPPEI) since 2023. His research interests include planning and operation of active distribution networks, where Li has published 50+ papers with over 200 total citations. He has been an editorial board of Journal of Energy Science and Technology since 2023, and also member of IEEE, IEEJ, CSEE and CES.

Najme Ebrahimi is an Assistant Professor at Northeastern University, Boston. Her research focuses on mm-Wave and THz high data rate communication and sensing. Prior to joining Northeastern, she was a Postdoctoral Research Fellow at the University of Michigan–Ann Arbor from 2017 to 2020. She earned her Ph.D. from the University of California, San Diego in June 2017. She is the recipient of the 2021 DARPA Young Faculty Award (YFA) and the 2023 DARPA Director’s Fellowship. She is a member of the IEEE Solid-State Circuits Society and the IEEE Microwave Theory and Techniques Society. She was selected as a 2019 EECS Rising Star by MIT’s Rising Stars program and a 2020 ISSCC Rising Star by the IEEE Solid-State Circuits Society. Additionally, she is a member of the IEEE Microwave and Mm-Wave Integrated Circuits Committee (MTT-14) and serves on the IMS 2022 to IMS 20266 Technical Paper Review Committees (TPRC). As well as technical committee member of IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS), 2024 at IEEE MILCOM and IEEE Custom Integrated Circuit Conference (CICC)."

Dr. Tauheed proudly hold the position of Assistant Professor at Eastern Michigan University's School of Information Security & Applied Computing. Here's a snapshot of my journey: I earned my B.Tech in Computer Engineering from Jamia Millia Islamia, New Delhi, India, in 2006, setting the foundation for my academic pursuits. Subsequently, I pursued an M.S. degree at The University of Toledo, Ohio, completing this milestone in 2015. The culmination of my academic journey came in the summer of 2019 when I obtained my Ph.D. in Human-Computer Interaction (HCI) from The University of Toledo. In 2023, I was honored to be promoted to Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), recognizing my significant contributions and achievements in the field of Human-Computer Interaction and Cybersecurity.My career encompasses both academia and industry. I spent three years as a Software Engineer at HCL Technologies in India, followed by a four-year tenure at the renowned French multinational company SOPRA. My professional journey even led me to Toulouse, France, where I spent three months on-site at AIRBUS, overseeing their onboard application, Network Server System (NSS).My research portfolio is diverse, covering a broad range of topics including Human-Computer Interaction, Cybersecurity, Autonomous Vehicles, and the exciting realm of Micro-controller devices such as Arduino and Raspberry Pi.Explore this website to delve deeper into my research contributions and learn more about the fascinating worlds I explore in the fields of Human-Computer Interaction, Cybersecurity, Autonomous Vehicles, and Micro-controller devices.

Farzaneh Bagheri is an accomplished scholar in the field of power electrical engineering, having earned her B.Sc. degree from Shahid Beheshti University, Tehran, Iran. She furthered her academic journey with an M.Sc. degree in power electrical engineering from Azerbaijan Shahid Madani University, Tabriz,Iran, and culminated her educational pursuit with a Ph.D. degree in electrical engineering from the Eastern Mediterranean University, Famagusta, Cyprus, achieving distinction in all her academic endeavors. Currently holding the position of assistant professor within the electrical and electronic engineering department at Antalya BILIM University, Dr. Bagheri is recognized for her expertise in power electronics and its diverse applications, along with a specialization in control systems applied to power electronic devices. Beyond her academic contributions, Dr. Bagheri is well-versed in the intricacies of writing and managing European projects, showcasing her proficiency in handling initiatives such as Horizon projects, Era Net projects, and CET partnership. Her commitment to excellence is evident in her role as a reviewer for esteemed journals, including IEEE Industrial Electronics, IEEE Industrial Informatics, and IEEE Power Electronics

Dr. Fadi Yamout has over 20 years of industry experience, having served as a Product Manager for numerous companies across Canada, the USA, and Europe. He also held the position of Head of the Planning and Control Department and Technical Support for Mainframe and PC systems at Middle East Airlines. He gained significant experience in computer programming and robotics during his time at Somapro in Montreal, Canada, and has also taught at Sault College and Trios College in Toronto, Canada. With over 24 years of experience in academia, Dr. Yamout has taught various computer science courses and conducted research in machine learning, data mining, and blockchain technologies. He currently serves as the Chairman of the Computer Science Department in Lebanon. Dr. Yamout holds a Ph.D. in Computer Science from the University of Sunderland in England, as well as a Master of Science and a Bachelor of Science in Computer Science from the Lebanese American University. Additionally, he earned a Bachelor’s degree in Civil Engineering from the United States. His main research interests include information retrieval, machine learning, blockchain, and data mining.

I studied Computer Engineering at İzmir Institute of Technology, where I enrolled in 2012. During my first year, I founded my own company, developing technologies in various fields. One of my most impactful ventures was Bi’Komşu, the world's first "bill on the hook" platform, launched during the COVID-19 pandemic with Aykut, Ezgi, and Berkan. This initiative enabled millions of Turkish lira worth of bills to be paid directly, inspiring major metropolitan municipalities to establish large-scale versions, covering over 100 million lira in bills. In 2021, my interest in mobility and sustainability led me to establish Scootable, making us the first Turkish company to receive investment from EIT Urban Mobility. Scootable expanded into Europe and gained global recognition. To deepen my expertise, I pursued a master's in Sustainable Energy at İzmir University of Economics in 2022, researching electric mobility. In 2023, I founded GridPlanner to address challenges in energy and mobility, securing Pre-R&D support from GDZ Elektrik. Throughout my journey, I led projects supported by KOSGEB, TÜBİTAK, and the EU. I was invited as a speaker at global events like Smart City World Congress 2023 in Barcelona and Smart City Expo 2024 in Taipei. Additionally, I represented Turkey at the 11th Turkey-Taiwan Business Council. From 2024 to 2025, I served as General Manager of Innovation and Technology at İzmir Metropolitan Municipality, appointed by Mayor Dr. Cemil Tugay.

I am a Ph.D. student at the University of Electronic Science and Technology of China, specializing in hydrogen evolution. My research is dedicated to exploring innovative methods and materials to enhance hydrogen production, a key area for sustainable energy solutions. My work is closely related to the advancement of energy efficient technologies, including the potential application of graphene and other graphitic materials to enhance energy storage and conversion systems. My interest in graphene and graphitic materials stems from their exceptional potential to revolutionize the energy landscape and foster a greener environment. Graphene, a single layer of carbon atoms, is a highly sustainable material made from abundant, non-toxic carbon. Its superior electrical conductivity and high electron mobility make it ideal for energy-efficient applications such as batteries, solar cells, and supercapacitors. Additionally, graphene's mechanical strength—100 times stronger than steel—combined with its lightweight and flexible nature, makes it perfect for durable, long-lasting products. These unique properties position graphene as a crucial material for advancing renewable energy technologies, enhancing storage efficiency, and reducing carbon footprints.

Sabyasachi Sen is a second-year undergraduate student in the Department of Construction Engineering at Jadavpur University, with a growing focus on Environmental Engineering and Earth System Science. He is currently engaged as a student researcher at the School of Environmental Studies, JU, and is also working under Prof. Prosenjit Ghosh at the Centre for Earth Sciences, IISc Bangalore, on the biogeochemical implications of the Great Oxidation Event—specifically how early atmospheric oxygenation influenced oceanic carbon sequestration and mineral buffering. His academic interests span climate change, aqueous geochemistry, carbon cycling, and lake and ocean chemistry. He is also deeply curious about political history, startups, and social activism—often blending science with critical thought in public discourse.

Lamia Youbwas in Batna, Algeria. She received the BSc. Degree in the electrical engineering, from the University of Batna, Algeria in 2002, and she got her Ph. D degree all in the electrical engineering from Politehnica University of Bucharest, Romania, 2007. After Graduation she joined the University of Batna 2, Algeria, where she is a professor at the Science Engineering faculty. Her current research area includes Advanced control techniques, the application of fuzzy logic, Renewable Energy, digital signal Processing.

Umesh Kumar Yadav (Member, IEEE) is currently associated with the Department of Electrical Engineering at Malaviya National Institute of Technol- ogy (MNIT), Jaipur, India. He received his B.E. degree in Electrical and Elec- tronics Engineering from Pt.Ravishankar Shukla University (PRSU), Raipur, India, in 2007, and his M.Tech.degree in Power Systems Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, India. He has served in academic roles at Government Engineering College (GEC), Raipur, National Institute of Technology (NIT), Raipur, and Institute of Re- newable Energy Technology & Management (IRETM), PRSU Raipur, accumu- lating more than ten years of teaching experience.He is an active member of several IEEE societies, including the IEEE Industrial Electronics Society, IEEE Systems, Man, and Cybernetics Society, IEEE Control Systems Society, IEEE Industry Applications Society, IEEE Vehicular Technology Society, and IEEE Young Professionals.He also serves as a reviewer for several reputed journals and publishers such as IEEE Transactions, Wiley, Medicine (Wolters Kluwer), Knowledge and Information Systems (Springer), ISA Transactions, PLOS ONE, Mathematics (MDPI), and Applied Mathematical Modelling (Elsevier).His re- search interests include approximation and optimization, system and control design, systematic learning approaches, self-balanced robotic vehicles, under- water robotic systems, electric vehicle technology, and applications of artificial intelligence and machine learning.