Prof. Dr FASQUELLE Didier is a full Professor in University of Littoral Côte d’Opale (ULCO), 62228 CALAIS, FRANCE. He is the head of MOFA group (Materials and Oxides for Functional Applications) in UDSMM lab (Unit of Dynamic and Structure of Molecular Materials). His main works are related to functional ceramics and thin films elaborated by sol-gel and sputtering, where samples are characterized in wide temperature and frequency ranges. His particular interests are therefore linked to dielectric, piezoelectric and pyroelectric properties, pyroelectric detectors, gas sensors, piezoelectric energy harvesting, SOFCs (solid oxide fuel cell). Since 2007, he has managed 10 national and international research projects. He has supervised 18 PhD students. Additionally he has published more than 200 papers in international journals and proceedings.

Gilles Courret completed his PhD at the Swiss Federal Institute of Technology (EPFL) in 1999. He has been a Professor of physics in the Department of Industrial Technologies of the University of Applied Sciences and Arts Western Switzerland (HES-SO) since 2013. His research interests include light sources, surface-plasma interaction, plasma chemistry and high-enthalpy fluid dynamics, with an emphasis on plasma diagnostic techniques and non-equilibrium plasma thermodynamics. He has published over 20 papers in reputed journals.

Dr. George Shaker is a highly accomplished researcher and academic with a wealth of industrial experience in his field. He is the Director of the Wireless Sensors and Devices Lab at University of Waterloo and the UW-Schlegel Research Institute for Aging. Previously, he was an NSERC Scholar at Georgia Institute of Technology and held several positions with RIM (BlackBerry). He is also with Spark Tech Labs, serving as both the Principal Scientist and Head of Research. Dr. Shaker has made significant contributions to the field through his numerous publications and patents. He has authored/co-authored over 150 publications and 35 patents and patent applications. He has also been a speaker at multiple international events, delivering keynote addresses at the IEEE LAPC, the IEEE iThings, and Ambient Intelligence, and serving as a short course lecturer at numerous international conferences. He has also served as a TPC member for several conferences, including IEEE MTT-IMS, IEEE APS, IEEE EuCAP, IEEE iWAT, IEEE EMC, and IEEE WF-IoT. Throughout his career, Dr. Shaker has been the recipient of numerous awards and recognitions. These include the NSERC Canada Graduate Scholarship, the Ontario Graduate Scholarship, the European School of Antennas Grant at IMST-GmbH, four IEEE AP-S Best Paper Award and Honorable mention Awards, the IEEE Antennas and Propagation Graduate Research Award, the NSERC CGS-FSS, the IEEE MTT-S Graduate Fellowship, the Electronic Components and Technology Best of Session Paper Award. Additionally, two papers he co-authored were among the top 25 downloaded papers on IEEEXplore for several consecutive months in 2012 and 2017. He was also the supervisor of the team that won the third-best design at IEEE APS 2016. He is the coauthor of the ACM MobileHCI 2017 Best Workshop Paper Award, and the 2018 Computer Vision Conference Imaging Best Paper Award. He co-received with his students several research recognitions, including the NSERC Top Science Research Award 2019, IEEE APS HM Paper Award 2019, Biotec Top Demo Award and People Choice Award 2019, arXiv top downloaded paper (medical device category) 2019, Velocity fund 2020, NASA Tech Briefs HM Award (medical device category) 2020, UW Concept Winner 2021, U.K. Dragons Canadian Competition Winner 2021, CMC Nano Winner 2021, COIL Colab 2022. He is the recipient of the Microsoft AI for Social Good Grant 2020, Google Research Award 2021, and Amazon AWS Grant 2022.

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Mohsen Guizani (Fellow, IEEE) received the BS (with distinction), MS and PhD degrees in Electrical and Computer engineering from Syracuse University, Syracuse, NY, USA in 1985, 1987 and 1990, respectively. He is currently a Professor of Machine Learning at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. Previously, he worked in different institutions in the USA. His research interests include applied machine learning and artificial intelligence, Internet of Things (IoT), intelligent autonomous systems, smart city, and cybersecurity. He was elevated to the IEEE Fellow in 2009 and was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019, 2020, 2021 and 2022. Dr. Guizani has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Paper Awards from ICC and Globecom Conferences. He is the author of 11 books, more than 1000 publications and several US patents. He is also the recipient of the 2017 IEEE Communications Society Wireless Technical Committee (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Award, and the 2019 IEEE Communications and Information Security Technical Recognition (CISTC) Award. He served as the Editor-in-Chief of IEEE Network and is currently serving on the Editorial Boards of many IEEE Transactions and Magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.

Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he obtained a PhD in engineering at the University of Cambridge in 2005. He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. Currently he is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT).His research interest focuses on the fault detection, predictive maintenance, and anomaly detection of power grid. He is the Founding Director of the Green Technology Research and Training Laboratory, leading the research and education activities of offshore wind energy at NJIT. Philip Pong is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Physics (FInstP), a Fellow of the Energy Institute (FEI), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society (FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a chartered energy engineer, a registered professional engineer (R.P.E. in Electrical, Electronics, Energy), and a Senior Member of IEEE (SMIEEE). He serves on the editorial boards for several IEEE and SCI journals.

Marc Parrilla obtained his doctoral thesis in nanoscience, materials, and chemical engineering, in 2016, at the Department of Analytical Chemistry of the University Rovira i Virgili, Spain, on the topic “Electrochemical sensors for decentralized analysis”. During his early career, he mainly worked in the development of wearable electrochemical sensors and point-of-care devices for the detection and monitoring of relevant targets for society. Currently, Marc is working as a senior researcher at A-Sense Lab, University of Antwerp, Belgium. He has published over 37 peer-reviewed journal papers, two book chapters, and conference proceedings with >1750 citations. His main focus is on the exploration and development of strategies for the continuous monitoring of key analytes in non-invasive and minimally-invasive biofluids by employing microneedle-based devices and wearable sweat sensors.

Pavel Loskot joined the ZJU-UIUC Institute in January 2021 as an Associate Professor after 14 years as a Senior Lecture at Swansea University in the UK. He obtained his PhD degree from the University of Alberta in Canada, and the MSc and BSc degrees from the Czech Technical University of Prague in the Czech Republic. He is a Senior Member of the IEEE, a Fellow of the Higher Education Academy in the UK, and a Recognized Research Supervisor of the UK Council for Graduate Education. His current research interests focus on mathematical and probabilistic modeling, statistical signal processing and classical machine learning for multi-sensor data in biomedicine, computational molecular biology, and in wireless communications.

Ahmed Hasnain Jalal, Ph.D. Dr. Ahmed Hasnain Jalal is an Assistant Professor in the Department of Computer Science at Utah Valley University (UVU). He completed his Ph.D. in Electrical Engineering from Florida International University (FIU). He earned his MS from the Department of Electrical and Computer Engineering of Purdue University Northwest (PNW). Before joining UVU, he was a Visiting Assistant Professor in the Department of Electrical Engineering at the University of Texas Permian Basin (UTPB) and the University of North Florida (UNF), respectively. He was a Visiting Postdoctoral Associate at the “Center for Proactive ANalytics and Data-Oriented Research on Availability & Security (PANDORAS)” under Energy, Power, and Sustainability Group at FIU. After his Ph.D., he was also occupied as a Visiting Postdoctoral Associate at “Biomolecular Sciences Institute” at FIU. He worked as a Lecturer (2012-14) in the Department of Electronics and Communication Engineering at the University of Liberal Arts Bangladesh (ULAB) after his MS. His research interests include the internet of things (IoT), biosensors, fiber optic sensors, thin-film fabrication, nanomaterials, bioinformatics & sensor data analytics, embedded systems, fuel cells, and autonomous water treatment (nanofiltration) & monitoring systems. Meanwhile, he holds two US patents and published more than 35 peer-reviewed articles, book chapters, and conference proceedings. He received the “Excellence in Technology Award” in the Society for Technology in Anesthesia (STA) Conference in 2020 and an honorable mention in the “Wearable alcohol biosensor challenge - 2016,” organized by NIH. He is a member of IEEE

Michael Wing is the director of the Aerial Information Systems Lab at Oregon State University (OSU)and an associate professor of geomatics in the Forest Engineering, Resources, and Management Department. His research interests include unmanned aircraft systems (UAS), remote sensing for landscape and land use measurement and analysis, decision support systems, and geographic information science. Dr. Wing has authored over 70 peer-reviewed research publications and is also registered as a professional engineer, land surveyor, and water rights examiner in Oregon. Dr. Wing teaches courses in UAS, GIS, and remote sensing.

Researcher for Mexico commissioned to the Department of Computer Science, National Institute of Astrophysics, Optics and Electronics, academic background Doctor of Science in Electrical Engineering from the Centre for Research and Advanced Studies of the National Polytechnic Institute; Master of Science in Electrical Engineering from the Centre for Research and Advanced Studies of the National Polytechnic Institute; Electronics Engineer from the Technological Institute of Tuxtla Gutierrez. Line of research: automotive signal processing to generate security, Cybersecurity at software and hardware level, IoT, Industry 4.0, design of VLSI integrated circuits and design of intelligent systems based on neural networks and fuzzy logic.

Dr. Anwaar Ulhaq is a senior lecturer and deputy leader in Machine Vision and Digital Health Research at the School of Computing, Mathematics, and Engineering, Charles Sturt University. Anwaar holds a PhD in Artificial Intelligence from Monash University, Australia. He has completed Professional education at renowned universities, including the Massachusetts Institute of Technology (MIT), the University of Oxford, Harvard University and the London School of Economics. He is a Tertiary Educator and Public Speaker who is deeply motivated to seek and spread knowledge with a deep passion for achieving the highest level of scholarship. He has won prestigious research scholarships, fellowships, and awards, including the Manna Institute mid-career research Fellowship 2022, Victoria University Vice Chancellor's Research Fellowship 2018, Monash Postgraduate Publication Award, and the research excellence award at Charles Sturt University in 0222. He has also worked as a research fellow at Institute for Sustainable Industries & Liveable Cities, Victoria University, Australia. He received Faculty Research Award in 2021 and Teaching Excellence Award in 2019 at CSU. His research work is at the nexus of sensor technology and artificial intelligence and includes artificial creativity, remote sensing, edge computing, digital twins, and multi-sensor sensor fusion.

Lamia Chaari Fourati is a professor at Computer Science and Multimedia Higher Institute), Sfax University, and researcher at the Digital Research Center of Sfax (CRNS), Laboratory of Signals, systems, artificial Intelligence, networkS (SM@RTS). She focused her research activities on the conception and validation of new protocols and mechanisms for emerging network technologies. Her research interests include, but are not limited to, wireless access networks, sensor networks, vehicular networks, Internet of things, 5G/6G, software-defined network, information-centric network and wireless body area network, unmanned aerial vehicle, software-defined networking, cloud computing, edge/fog computing, and next-generation heterogeneous wireless networks. In these areas, she is interested in quality of services provisioning (congestion control, admission control, resources allocations…), trust management, and securing communication systems. Professor FOURATI, over the years, has produced several publications in the form of refereed book chapters, journal articles, and conference papers. She has more than 80 papers published in journals and more than 120 papers published in conferences. She further serves on the Technical Program Committees of several reputed international conferences. Prof. Lamia CHAARI FOURATI is the laureate for the Kwame Nkrumah Regional Awards for women 2016 (North Africa Region).

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Georgi L. Dyankov received his M.S. degree in Solid State Physics from Sofia University, Bulgaria and Ph.D. degree from Institute of General Physics of Russian Academy of Sciences, Moscow in the field of optical fibers. He has worked for Institute of Solid State Physics, Bulgarian Academy of Science, Sofia, Industrial Technology Research Institute, Taiwan (till 2009), Institute of Nanotechnology, Rabat, Morocco (2010-2011) and Institute of Optical Materials and Technology, Bulgarian Academy of Science, Bulgaria (currently). During this period G. Dyankov was involved in development of optical measuring instruments and optical sensors in the field of optical coherent tomography, polarization, polarimetry, and plasmon resonance. Current field of research is biosensors based on surface plasmon resonance.

DANG LIEN MINH received his B.S. degree in Information Systems from the University of Information Technology, VNU HCMC, Vietnam, in 2016, and his Ph.D. degree in Computer Science from Sejong University, Seoul, South Korea, in 2021. From 2017 to 2021, he worked as a researcher at the Computer Vision Pattern Recognition Laboratory, Sejong University, where he undertook various projects related to computer vision. Currently, he serves as a research professor at the Department of Information and Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Korea, where he continues to pursue his research interests in computer vision, natural language processing, pattern recognition, and machine learning.

Chuanlai Zang is a Ph.D. candidate in the Department of Electrical Engineering and Information Systems, The University of Tokyo. His research are metal oxide gas sensor and intelligent electronic nose system.

Josée Mallah – received the B.Eng. degree in electrical and electronics engineering from the Holy Spirit University of Kaslik (USEK) in 2022 and is currently pursuing the MPhil in Engineering degree at the University of Cambridge. She holds a Bseisu Cambridge and Downing Robson scholarship from Cambridge Trust. Her research focuses on air quality sensors in terms of design, evaluation, and simulation, and has previously worked on bionics and prosthesis control. Luigi G. Occhipinti - Ph.D. CEng Senior Member IEEE, received his Laurea Degree in Electronic Engineering in 1992 and Ph.D. in Electrical Engineering in 1997, from the Universities of Catania and Rome “Tor Vergata” respectively. He joined the University of Cambridge in 2014, where he is currently the Director of Research in graphene and related technologies at the Department of Engineering (equivalent to full professor), and Principal Investigator, head of the Occhipinti Group. With over 25 years’ experience leading R&D in both industry and academia, Luigi has over 150 publications, including 3 book chapters, 2 IEEE standards, 65 patents in 46 families.

I'm Tharun Reddy Kandukuri, and my journey has been one fueled by an insatiable curiosity for science and technology. From my earliest years, I harboured a deep fascination with the inner workings of the world, and this passion propelled me through a remarkable academic and research career. My academic path led me to the hallowed halls of the University of Cambridge, where I embarked on a PhD adventure in the field of Engineering. During my time here, I left no stone unturned in my pursuit of knowledge and innovation. I characterized particulate matter sensors, a foundational project that sought to improve the accuracy of these vital devices. I engineered graphene-based electrodes for silent speech recognition, a project that culminated in a prestigious publication in Sensors in 2021. One of the highlights of my academic journey was my collaboration with GSK on the SP_DeStress project, where I played a pivotal role in the development of stress-detection electrochemical sensors. These sensors have the potential to revolutionize how we monitor and manage stress in our daily lives. My contributions extend beyond sensors to the realm of sustainable technology. I am designing piezo electric energy harvesters, envisioning a future where portable sensors can operate autonomously for extended periods, reducing environmental impact. I'm also deeply committed to projects that can make a real difference in people's lives. The Cambalance project, focused on detecting hot flashes in perimenopausal women, and the P2Care project, dedicated to periodontal disease detection, reflect my dedication to improving healthcare. Lastly, I ventured into pathogen detection research with the Blue-Sky project, aiming to contribute to our understanding of Pathogen detection through impedance measurements. My academic journey has been complemented by experiences in robotics, energy management, and a relentless pursuit of pioneering sensor technologies. Through it all, I remain committed to the relentless pursuit of knowledge, innovation, and making a positive impact on the world through science and technology

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Shuvashis Dey is an Assistant Professor in the Department of Electrical and Computer Engineering at North Dakota State University (NDSU), USA. Prior to joining NDSU, he was a Post-doctoral Research Fellow in the Department of Electrical and Computer Systems Engineering at Monash University, Australia. In 2016, he worked as a visiting researcher in the Auto-ID Labs at Massachusetts Institute of Technology (MIT), Cambridge, USA. Dr. Dey received the Bachelor of Technology (B. Tech) degree in Electronics and Communication Engineering from National Institute of Technology-Durgapur, West Bengal, India in 2007, the M.Sc. degree in Wireless Networks from Queen Mary, University of London, England, United Kingdom in 2009 and the Ph.D. degree in Electrical and Computer Systems Engineering from Monash University, Australia in 2018. Dr. Dey’s awards and honors include the Young Scientist’s Travel Grant at IEEE International Symposium on Antennas and Propagation (ISAP) 2012, the IEEE MTT-S PhD Student Sponsorship Initiative Award in 2016 and the Best Presentation Award at International Conference on Sensing Technology (ICST) 2017. He is a member of IEEE.

Dr. Fahmida Alam is an Assistant Professor in the Electrical Engineering and Computer Engineering Department at the University of Texas Rio Grande Valley. She completed her Ph.D. in Electrical and Computer Engineering from Florida International University (FIU) in 2021. She was allied with 'The Integrated Nanosystems Lab of FIU during her Ph.D. Her research was supported by NSF's Engineering Research Center (ERC) for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST) and NASA's CRE2DO center for developing cutting-edge technologies that integrate 2D materials in space-resilient infrastructure materials, communication devices, and small satellite technology. She received her BS in Electrical and Electronic Engineering from Chittagong University of Engineering and Technology (CUET), Bangladesh. After her BS, she worked as a lecturer in the Department of 'Electrical and Electronic Engineering' of the University of Information Technology and Science (UITS) till 2014. Her research is focused on 'Self-powered wearable sensor arrays for human sweat analysis.' She explored several nanomaterials, their properties, different biomarkers, and nanostructure-based wearable sensing platforms for detecting such biomarkers. Progress towards advancement in health diagnostics, these biosensors involves using the right kind of material that is bio-compatible, non-invasive, repeatable, reusable, convenient, and environment-friendly monitoring of biomarkers. She received the "UGS Provost Award for Outstanding Paper or Manuscript in STEM" and published more than 25 articles and conference proceedings

Yahia CHERGUI is an assistant Professor in Electrical & Electronics Engineering Institute, Boumerdes Algeria. He has completed his PhD from Badji Mokhtar University in Annaba, Algeria. He did all his PhD work in Cardiff University in UK. His research field is Physics(condensed matter, and soft matter simulation by molecular dynamics). He has many published articles and international conferences. He has been serving as a referee with condensed matter journal (IOP), Energy journal (Elsevier), and American Journal of Modern Physics.

Dr. Zan Li is currently employed at Jilin University as an associate professor. He is responsible for multiple National Natural Science Foundation of China （NSFC）projects focuses on wireless communication, wireless sensing and indoor positioning. He has published several high-quality publications on top journals such as IEEE transactions. Before he joined Jilin University, he worked at Alibaba Group as a senior researcher and responsible for designing algorithms of crowd-sourcing positioning. He got his PhD degree at the University of Bern and won the Fritz-Kutter award (the best Ph.D. thesis in Swiss universities) in 2016.

Dr. Nitika Vats Doohan is PhD in CSE from IET- DAVV in 2016. Her specialization areas are Operating System, Networks, Wireless Sensor Network, IOT. She has written number of international / national papers in conference and journals. She is the senior member of IEEE, life member of CSI-India, Senior member of ACM. She is the reviewer of Inderscience, WOCN and other SCI journals and also reviewed and chaired the session in the international conferences.

M. Mourad Mabrook, received his B.Sc. and M.Sc. degrees in Electrical and Communication Engineering from Assiut University, Egypt, in 2008 and 2013, respectively. He received Ph.D. degree in communication Dept., Menia University, Egypt in 2017. He is Assistant Professor at Space communication Engineering Dept. in faculty of Navigation Science & Space Technology (NSST), Beni-Suef university, Beni-Suef, Egypt. Head of Applied sciences of space and navigation Program science 2021. He is a part time lecturer at faculty of Engineering, Nahda university (NUB), Beni-Suef, Egypt. His research interests include wireless communications, 5G networks, cognitive radio, Sensors, Artificial intelligence, and sensors. He is Editor in many international journals and reviewer in many Elsevier and Springer Publishers’ Journals and conferences