Professor Sam Adeloju is a Professor of Chemistry and Deputy Dean of the Faculty of Science and Health at Charles Sturt University, Albury and Editor-in-Chief of the Chemical and Molecular Sciences Section of the Applied Sciences Journal (MDPI). He has made original and innovative contributions to the design, fabrication, and characterization of conducting polymers, biosensors, nanobiosensors, nanomaterials and microbial fuel cells. In particular, he has made significant contributions to the development of biosensors and Nano biosensors for clinical, environmental and food analyses, as well as in the development of microbial fuel cells (MFCs) for power generation from wastewaters. Professor Adeloju has published extensively in international journals, books and proceedings. He was awarded the Royal Australia Chemical Institute (RACI) awards for Applied Research Medal (2009), R.H. Stokes Medal for Electrochemistry (2011), Doreen Clark Medal for Analytical Chemistry (2013) and Citation Award for Excellence in Leadership and Service (2017). Professor Adeloju is also on the International Advisory Board for Sci Journal (MDPI), Editorial Boards for Biosensors (MDPI) and other international journals.

Dr. Sal Morgera has focused on networks his entire professional life. He, and the teams he has directed, are responsible for the Canadian oceanographic data gathering networks, the acoustic networks for American submarine tactical and strategic communications, the worldwide CAT3 auto-landing networks for commercial aircraft, and the military wireless networks used in sensitive and challenging parts of the world. In the last decade, he has turned his attention to the neurological networks of the brain and its electric near-field and bio-metamaterial structures. Understanding these extraordinary near-field networks and the bio-metamaterial human brain structure in which they operate will enable humankind to develop machines with Real Intelligence (RI), as opposed to Artificial Intelligence (AI). Recently, he has been invited to give two Keynote Speeches at international conferences on the topic of brain structure and function. Dr. Sal Morgera has published 295 fully referee papers in journals and conference proceedings and 3 books, 2 of which are research monographs. He is a Life Fellow of the Institution for Electrical and Electronics Engineers (IEEE), Fellow of the American Association for the Advancement of Science (AAAS), and Fellow of the Institution for Engineering and Technology (IET) for his many years in University Administration; development of a graduate Bioengineering Degree Program, which has become a model for the nation; and advances in our understanding of brain structure and function. Dr. Sal Morgera is Professor of Electrical Engineering at the University of South Florida, Emeritus Professor at Universities in Canada and the US, and Director of the Global Center for Neurological Networks. He received his Bachelor, Master, and Ph.D. degrees from Brown University, Providence, RI.

John S. Baras is a Distinguished University Professor, holding the Lockheed Martin Chair in Systems Engineering and a Permanent Joint Appointment with the Institute for Systems Research (ISR) and the ECE Department at the University of Maryland College Park (UMD). Hereceived his Ph.D. degree in Applied Mathematics from Harvard University, in 1973, and he has been with UMD since then.From 1985 to 1991, he was the Founding Director of the ISR. Since 1992, he has been the Director of the Maryland Center for Hybrid Networks (HYNET), which he co-founded.He is a Fellow ofIEEE (Life), SIAM, AAAS, NAI, IFAC, AMS, AIAA, Member of the National Academy of Inventors (NAI) and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). Major honors and awards include the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2017 IEEE Simon Ramo Medal, the 2017AACC Richard E. Bellman Control Heritage Award, and the 2018 AIAA Aerospace Communications Award. In 2016 he was inducted in the University of Maryland A. J. Clark School of Engineering Innovation Hall of Fame.In June 2018 he was awarded a Doctorate Honoris Causa by his alma mater the National Technical University of Athens, Greece.His research interests include systems, control, optimization, autonomy, machine learning, artificial intelligence, communication networks, applied mathematics, signal processing and understanding, robotics, computing systems, formal methods and logic, network security and trust, systems biology, healthcare management, model-based systems engineering. He has been awarded twenty patents and honored with many awards as innovator and leader of economic development

Katsuo Kurabayashi is a Professor of Mechanical Engineering and Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, in the United States. He received the B.S. in Precision Engineering from the University of Tokyo, Japan, in 1992, and the M.S. and Ph.D. in Materials Science and Engineering from Stanford University, CA, in 1994 and 1998, respectively. His current research focuses on optofluidics, nanoplasmonic and biomolecular biosensing, and BioMEMS/microsystems for immunoassay, clinical diagnosis, single-cell study, and analytical chemistry. He has authored and co-authored 180 peer-reviewed papers and holds 11 U.S.He received a 2001 NSF Early Faculty Career Development (CAREER) Award, and the Robert Caddell Memorial Award in 2005, the Pi Tau Sigma Outstanding Professor Award in 2007, the University of Michigan Mechanical Engineering Outstanding Achievement Award in 2013, the Ted Kennedy Award in 2015, and the Wise-Najafi Prize for Engineering Excellence in the Miniature World in 2019 from the College of Engineering at the University of Michigan. He is also a Fellow of the Royal Society of Chemistry (RSC) and the American Society of Mechanical Engineering (ASME).

DONGSOO HAR received the Ph.D. degree in electrical engineering from Polytechnic University, Brooklyn, NY, USA. He is currently a faculty member of Graduate School of Mobility in KAIST. He was a recipient of the Best Paper Award (Jack Neubauer Award) from the IEEE Transactions on Vehicular Technology in 2000. He is an associate editor of IEEE Sensors Journal. He served as the lead guest editor of several journals. His research interest includes smart infrastructure and vehicles of ITS. He was the member of advisory board, program chair, vice chair, and general chair of international conferences. He authored and co-authored more than 120 journal papers and conference papers. His research interest includes application of sensors and sensor network

Shen-Ming Chen(陳生明) received his PhD degrees in chemistry from National Taiwan University, Taipei, Taiwan. He was a visiting postdoctoral fellow with the Institute of Inorganic Chemistry, Friedrich-Alexander University Erlangen-Nuremberg, Germany in 1997. He joined Department of Chemical Engineering, National Taipei Institute of Technology, Taipei, Taiwan in 1985. He had been an associate professor of Department of Chemical Engineering, National Taipei Institute of Technology, Taipei, Taiwan from 1991 to 1997. Since August 1997, he has been a full professor of Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, Taiwan. He has been the Dean(Curator) of library, National Taipei University of Technology, Taiwan from 2000 to 2006 and the Director of Extracurricular Activity, office of student affairs, National Taipei University of Technology, Taiwan from 1995 to 2000. He received three time Distinguish Professor awards from 2010-2018. He also received Lifetime Distinguish Professor award from 2019. He received two times of Distinguished Academic Award from Association of Chemical Sensors in Taiwan (2010 & 2020). He received three times of Distinguished Research Academic Award from National Taipei University of Technology. Professor Lai Tsai-Teh Research Award, Taiwan Institute of Chemical Engineers, Taiwan. He has published over 1200 research and review papers in international SCI journals. Two of our papers have been selected as the most cited papers in the Journal of Electroanalytical Chemistry during the years 2005-2009. He have edited or attended two books for NOVA publications titled “Nanostructured Materials for Electrochemical Biosensors” and “Biosensors: Properties, Materials and Applications”, contributed four book chapters and many Journal’s special issues or conference’s special issues. His research interest includes Biosensors, Chemical sensors, bioelectrochemistry, electroanalytical Chemistry, electrocatalysis and electroanalysis, photoelectrochemistry, metalloproteins, metalloporphyrins, nanotechnology, spectroscopic techniques, scanning probe techniques, quartz crystal microbalance, materials research, fuel cells, solar cell and photovoltaic cells. We have edited or attended two books for NOVA publications titled “Nanostructured Materials for Electrochemical Biosensors” and “Biosensors: Properties, Materials and Applications” and contributed four book chapters.

Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently isa full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 400 peer-reviewed papers in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and "MBEC 2006 Nightingale Prize". His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry.

Stella W. Pang is a Chair Professor of the Departmentof Electrical Engineering, City University of Hong Kong,and also the Director of the Center for Biosystems, Neuroscience,and Nanotechnology. She has over 400 technical articles, book chapters,and invited presentations. She has ten patents granted in nanotechnologyand microsystems and four pending. Her research interests include nanofabrication technologyfor biomedical, microelectromechanical, THz- and meta-devices.Dr. Pang is a Fellow of IEEE, ECS, AVS, and HKIE.

Dr. T. Russell Hsing is IEEE Life Fellow and Fellows for the British Computer Society and SPIE. He accumulated rich R&D experiences of 40+ years as technical staff, research/engineering director and executive director through affiliations with Burroughs, Xerox, GTE Labs, Telco Systems Fiber Optics Corporation, TASC and Bellcore/Telcordia/Ericsson since 1977. He is currently Honorary Chair Professor at the National Chiao Tung University in Taiwan, Advisory Council Member for Harvard Business Review and Distinguished Visiting Professor at India Institute of Technology (IIT) Kanpur in India. During his tenure at Telcordia, he has co-established two significant R&D centers with President and Vice President of Bellcoe / Telcordia in Taipei (Taiwan), and Poznan (Poland). Both centers focused on advanced ICT partnering with local institutions to win significant contract funding from both commercial and local government sources. Since late 2012, he has been visiting professors at numerous universities around the world including US, China, India, Singapore, Taiwan, Korea, Ireland and Hong Kong. He was Board Member for the Open Fog Consortium in 2016-2018. He has been teaching the courses of “Technology Entrepreneurship: From IP to IPO” (since 2014) and “Internet Economics” (since 2017). His research interests include AI- Powered Fog/Edge Computing & Networking and Platform, Internet Economics, Fogonomics, Vehicular Telematics & Services, Wireless 5G & 6G research, Beyond IoT Services/ Applications, Digital Transformations, Business Innovations, and Academic Spin-offs. He was Editorial Board Member for the IEEE IoT Magazine (June 2019 – March 2021). Currently he is Advisory Board Member for the IEEE Fog/Edge Industrial Community and Board Director/Board Advisor/Mentor for few academic spin-offs in US, Taiwan, Ireland and Poland.

Recipient of the prestigious Theodore von Kármán award, Dr. Timothy Sands graduated from Columbia University and Stanford University. He is an Eminent Engineer (Tau Beta Pi), an International Scholar Laureate (Golden Key International Honor Society), a Fellow of the Defense Advanced Research Projects Agency (DARPA), and panelist of the National Science Foundation Graduate Research Fellowship program and an interviewer for undergraduate admissions at Stanford University. He has published prolifically in archival journals, conference proceedings, books, and book chapters, in addition to giving plenary, keynote, and invitational presentations, and holds one shared patent in spacecraft attitude control. He is currently an Astronautics Professor of Practice at Cornell University having previously served at disparate universities as Chief Academic Officer, Dean, Associate Dean, and Research Center Director.

Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he studied for a PhD in engineering at the University of Cambridge (2002-2005). He was a postdoctoral researcher at the Magnetic Materials Group at the National Institute of Standards and Technology (NIST) for three years. His research interest currently focuses on the development and application of advanced sensing techniques based on electromagnetic sensors in smart grid and smart city. 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.

Nikolaos Pappas (Senior Member, IEEE) received the B.Sc. degree in computer science, the B.Sc. degree in mathematics, the M.Sc. degree in computer science, and the Ph.D. degree in computer science from the University of Crete, Greece, in 2005, 2012, 2007, and 2012, respectively. From 2005 to 2012, he was a Graduate Research Assistant with the Telecommunications and Networks Laboratory, Institute of Computer Science, FORTH, Heraklion, Greece, and a Visiting Scholar with the Institute of Systems Research, University of Maryland at College Park, College Park, MD, USA. From 2012 to 2014, he was a postdoctoral Researcher with the Department of Telecommunications, CentraleSupélec, Gif-sur-Yvette, France. He is currently an Associate Professor with the Department of Computer and Information Science, Linköping University, Linköping, Sweden. His main research interests include the field of wireless communication networks with an emphasis on semantics-aware communications, energy harvesting networks, network-level cooperation, age of information, and stochastic geometry. Dr. Pappas has served as the Symposium Co-Chair of the IEEE International Conference on Communications in 2022 and the IEEE Wireless Communications and Networking Conference in 2022. He is an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE Transactions on Machine Learning in Communications and Networking, the IEEE/KICS JOURNAL OF COMMUNICATIONS AND NETWORKS, area editor of the IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY and an Expert Editor for invited papers of the IEEE COMMUNICATIONS LETTERS. He is a guest editor of the IEEE Internet of Things Magazine and the IEEE Network. He was a Guest Editor of the IEEE INTERNET OF THINGS JOURNAL on “Age of Information and Data Semantics for Sensing, Communication and Control Co-Design in IoT.”

Enrico Cambiaso, Ph.D in Computer Science, has a background working experience as a computer scientist, for both small and big enterprises. He is currently employed at the IEIIT institute of Consiglio Nazionale delle Ricerche (CNR), as a technologist working on cyber-security topics and focusing on the design of last generation threats.

Layla Azizis an assistant professor in the Department of Computer Science at thePolydisciplinaryFaculty of Sidi Bennour, a member of the Équipe de Sciences de l’information et Modélisation, Chouaib Doukkali University, Morocco. ShereceivedherPh.D. in Computer Science from theFSTG-Cadi AyyadUniversity, Morocco. Sheis a Master’sgraduate of Computer NetworksEngineering from the Ibn ZohrUniversity, Morocco in the summerof 2010. Her researchfocuses on QoS in Ad Hoc networks, WSNs,HeterogeneousNetworks, and Multi-CriteriaAnalysis, and machine learning.

Pooja Prasenan completed her B-Tech in Electronics and Communication engineering from Mahatma Gandhi University, Kerala, India in 2010. She completed her Masterof Technology in Applied Electronics and Communication Systems from University of Calicut, Kerala, India. She did her research in Underwater Image Processing using Artificial Intelligence from School of Ocean Engineering and Underwater Technology, Kerala University of Fisheries and Ocean Studies, India. She has a teaching experience of more than 7 years wherein she had taught both undergraduate and postgraduate students.

Professor Dr. Mohammad Shahadat Hossain has been the Professor of Computer Science and Engineering at the University of Chittagong in Bangladesh since 2007. He has over 28 years of teaching and research experience both at home and abroad. He is one of Bangladesh's top-ranking professors (Grade 1). He earned his MPhil and PhD from the University of Manchester Institute of Science and Technology (UMIST), which is now known as The University of Manchester. Professor Hossain has received numerous prestigious scholarships and fellowships, including World Bank, Commonwealth, Erasmus Mundus Tyndall, and Fulbright. He published over 200 research papers, including journal articles, conference proceedings, book chapters, and books. More than 100 of them have been indexed by Web of Science (WoS), Scopus, and DBLP. He is an Editor/Editorial Board Member/Reviewer for over 30 journals, the majority of which are Elsevier (Scopus) and Thomson Reuters (WoS) Indexed. He is the recipient of numerous prestigious research grants, including those from the European Commission, the Swedish Research Council, the Government of Bangladesh, and the Sultanate of Oman. His current research interests include Explainable AI, Expert Systems, health informatics, affective computing, deep learning, Internet of Things (IoT), Big data, e-government, hyper-optimization, and computing philosophy. He is a senior IEEE member.

Pier Gianni Medaglia is Associate Professor of Physics and Materials Science at the University of Rome "Tor Vergata”. He obtained his graduation in Condensed Matter Physics and the PhD degree in Microsystems Engineering. PGM’s fields of interest focus on synthesis of nanostructured innovative materials and thin films, characterized by optical spectroscopy and electrical characterization. The research is also aimed to perform device for sensing, biomedical applications and energy harvesting. He has published over 105 publications on international journals, with an H-index of 28 and more than 2683 citations (Google Scholar) updated at March 2022. He co-autored 2 books and he has been tutor for the research thesis of more than 30 students (PhD, graduating and undergraduating) at the Engineering Faculty of Rome “Tor Vergata”.

João G. Pacheco obtained his PhD in AnalyticalChemistry in 2010 (Faculty of Sciences, University of Porto, Portugal). Currently he is aauxiliar researcher at REQUIMTE-LAQV/ISEP (Porto, Portugal). He hasbecome expert in the construction of molecularlyimprintedpolymer (MIP) basedelectrochemicalsensors He wasable to successfully use the sensors for application in environmental (pharmaceuticals), health (cancerbiomarkers) and food safety and control.

Dr Ausra Baradoke - a researcher with 10+ years of work experience in 8 scientific groups (including University of Oxford). The PhD was achieved in collaboration with the Center for Physical and Technological Sciences with Irish universities Dublin City University and Trinity College Dublin. Dr. Ausra Baradoke received Innovate UK funding at University of Oxford, where she successfully published 2 high-impact publications and contributed to a patent in the field of electrochemical sensors. Among the scientific achievements, a total of 7 scientific publications in high-impact international scientific journals , patent application, science popularized by presenting research at 27 conferences. She carried out research experimental development (R&D) work in projects funded by the Education Exchange Support Fund, Erasmus +, Innovate UK and Mobilitas Pluss. Also she successfully implemented the "Intellect LT" project (VP2-1.3-uM-02-K-04-122) and contributed to METASENS (CH-3-SMM-01-11), G ‐ SUPERCAP (3200-P325, LAT-16002 ). The PI has work / cooperation experience in private companies in the field of sensor development at ERUMPO LTD and later at Osler Diagnostics LTD. Dr. Ausra Baradoke has been supervising students of various levels (bachelor's, master's, doctoral) in universities: Vilnius University, Dublin City University, Trinity College Dublin, University of Tartu and University of Oxford.

M. Cheffena received his M.Sc. degree inelectronics and computer technology from the University of Oslo, Norway in 2005 and his Ph.D. degree from the Norwegian University of Science and Technology (NTNU), Trondheim, in 2008. In 2007,he was a visiting researcher at the Communications Research Center, Canada. From 2009 to 2010, he conducted a postdoctoral study at the University Graduate Center, Kjeller, Norway, and at the French Space Agency, Toulouse. Currently, he is a full professor at NTNU, Gjøvik. His research interests include modeling and prediction of propagation radio channels, signal processing, medium access control protocol design, antenna sensors, and sensor systems.

He received the Ph.D. degree in Nanjing University of Science and Technology Department of Computer Science and Engineering, China in 2012. During 2011-2012, He pursues his study as a joint PhD student and attend the research lab of Kwan-wu Chin in School of Electrical, Computer Telecommunications Engineering, University of Wollongong, Australia. He joined in the College of Information Science and Technology, Nanjing Forestry University, China as a lecturer and an associate professor in 2012 and 2016. During 2013-2016, He pursues advanced postdoctoral engineering training at the School of Computer Science and Engineering, Southeast University, Nanjing City, China. From 2016, He pursues his research as a visiting scholar and attend the research lab of Tian He in Department of Computer Science and Engineering, University of Minnesota Twin Cities, Minneapolis, USA. His current research fields contain routing protocols base on Cross-Technology Communication for delay tolerant, data aggregation and multi-constrained routing algorithms in wireless sensor networks and energy-harvesting wireless sensor networks.

David Eager is the Professor of Risk Management and Injury Prevention at UTS.David is an internationally recognised expert on the safety aspects of trampolines, playgrounds, play surfacing, sports and recreation equipment, and amusement rides and devices. He is a bio-mechanical engineer, Fellow of Engineers Australia.He is the chairperson for a number of Australian Standards Committees including SF-051Trampoline park facilities.

Hongyu Sunreceived the bachelor’s degree inthe Department of Renewable Energy, North China Electric Power University (Beijing) in 2015, and the master’s degree from the department of Electrical and Electronic Engineering, North China Electric Power University (Beijing) in 2018, and the Ph.D. degree in electrical engineering from Tsinghua University in 2022. On Feb 2017, he was a visiting student at Newcastle University. He has won national scholarships for master & doctoral students, outstanding graduates in Beijing, outstanding master & doctoral thesis awards, etc. He is currently a lecturer at the School of Physical Science and Engineering, Beijing Jiaotong University. His major research interests include nondestructive evaluation in oil and gas pipelines, and railways (Unidirectional and oblique focusing methods in horizontal and vertical shear waves), acoustic metamaterials (Underwater acoustic focusing composite lens), plasma physics (Trichel pulse characteristics under the influence of photoionization) and artificial intelligence (Using physics-informed deep learning algorithm to achieve the defect identification and quantification of ultrasound and MFL).

Ferdinando Febbraio, PhD. is a researcher at the Institute of Biochemistry and Cellular Biology of the National Research Council (CNR) of Italy from July 2019. He graduated in Biological Sciences at University of Naples Federico II, and received his Ph.D. in Biological Chemistry and Molecular Biology in 2001. He worked in academic and non-academic institutions, and was co-founder of a biotechnological start-up and of a joint (CNR-University of Naples Federico II) spin-off. He was visiting scientist at the Chemistry department of Ben-Gurion University of the Negev in Beer-Sheva (Israel) and at Zewail City of Science and Technology, 6th of October City, Giza (Egypt). CNR expert for the European Food Safety Authority (EFSA) in the field of nanoscience and nanotechnologies related to food safety, and supervisor for EFSA fellows. His current research activity is oriented to biotechnological applications of biological macromolecules (proteins and nucleic acids) in the field of environmental security and human health, as molecular biomarkers for cancer early diagnosis, bioreceptors in biosensors for pesticide and nerve agents, and biodrugs. Published over 60 articles on ISI Scientific Journals, 3 patents and 2 scientific software. He is an associate editor for Sensor (basel) and guest editor for Frontiers in Chemistry.

Sritrusta Sukaridhoto received the B.E. degree in electrical engineering, computer science program from Sepuluh Nopember Institute of Technology, Indonesia, in 2002 and the Ph.D. degree in Communication Networks Engineering from Okayama University, Japan, in 2013. He joined at Politeknik Elektronika Negeri Surabaya, Indonesia, as a lecturer in 2002, and He became an Assistant Professor in 2011, respectively. He stayed at Tohoku University, Japan, in 2004, as a visiting researcher. From 2017, He becomes Head of Human Centric Multimedia Lab, received several research grants, and also has several collaboration with government, and industries. He is a technology enthusiast, his research interests include computer networks, human-centric, immersive multimedia, and Industrial Internet of Things. He has received several academic awards, best paper awards, and IEEE Young Researcher Award in 2009. He is a member of IEEE.

Cheng Shang received a B.S. degree in Land Resource Management from the China University of Geosciences, Wuhan, China, in 2014. He received a Ph.D. in Physical Geographyfrom the Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China, and also from the University of Chinese Academy of Sciences, Beijing, China, in 2021. He is currently a lecturer at the School of Geosciences, Yangtze University, Wuhan, China.His research interest is geo-information science and technology, including remote sensing and its application in geosciences. He has been supported by the Hubei Province Natural Science Fund forYouth Project.

Prof. Mthulisi Velempini is an IEEE Senior member and active researcher in Medium Access Control protocols, Routing protocols, 5G and its enabling technologies and Security in Computers. He is an emerging. researcher in Wireless Access Network Technologies.

Jian LU received Ph.D. degree from University of Science and Technology of China (USTC) in 2005. He worked at National Institute of Advanced Industrial Science and Technology (AIST) as a post-doctoral researcher from 2005 to 2007, and then JSPS research fellow until 2008. He joined The University of Tokyo from 2008 as associate professor. He is currently a senior researcher in Device Technology Research Institute, AIST, Japan since 2011. His research interests include MEMS sensors, micro & nano fabrication, energy harvesting devices, and application of above technologies in Sensor Networks and MedTech Innovations. He has 70+ journal publications, 100+ international conference presentations, and 10+ registered and applied patents

Giansergio Menduni received the M. S. degree (cum laude) in 2017 and the Ph.D. degree in 2021 in Electronic Engineering from the Polytechnic University of Bari. Since 2022, he is an Assistant Professor in Applied Physics at the Physics Department of Polytechnic University of Bari. His research activity is focused on the development of gas sensors based on Quartz-Enhanced Photoacoustic Spectroscopy (QEPAS) and Light Induced Thermo Elastic Spectroscopy (LITES), and on the signal conditioning of Quartz Tuning Forks transducers.

Born in Italy in 1975, he received his Master degree in Physics from the Physics Department of the University of Pisa (Italy) in 1999, and PhD in Condensed Matter Physics from the Scuola Normale Superiore (Italy) in 2006. Currently, he is senior researcher and member of the scientific council of the Nanoscience Institute (Pisa, Italy) of the Italian National Research Council (CNR), CTO of INTA srl (a joint spin-off company of the CNR and Scuola Normale Superiore) and Lecturer of Biomaterial Science at the University of Pisa (Biology Department, Laurea Degree Course in Biotechnology). His main research interests are: development of nanomaterials for brain pathologies and nerve regeneration; development of surface-acoustic-wave devices for microfluidics and sensing applications.

Will be update on soon

Fabio Di Pietrantonio is Researcher at the Institute for Microelectronics and Microsystems of the National Research Council of Italy in Rome and is a contract Professor of Robotics at the International Telematic University “Uninettuno” of Rome, Italy. He received the five-year Engineer Degree in Electronics in 2003 and the the Ph.D. degree in Microsystems Engineering in 2007, both fromthe University of Rome “Tor Vergata” in Italy. From 2010 and 2017 he was Researcher at the Institute of Acoustics and Sensors “O. M. Corbino”. Currently he is the Head of the laboratory of Sensors and Microelectronics of the Institute forMicroelectronics and Microsystems of the National Research Council of Italy in Rome. He receivedthe “Angelo Rizzo Price” in the 2008 at the International Conference of Sensors and Microsystem in Rome, Italy. His current research focuses on electronic noses, micro and nan-sensors, MEMS devices, deposition of thin piezoelectric films, ultrasonic and electrical characterization of thin films, fabrication technologies of micromachined devices, electronic devices for space applications, flexible sensors.

Dr. Marilena Gigliostudied Physics at the University of Bari, Italy and graduated with an MS in 2014 (cum laude) and a Ph.D. in 2019.In 2012 she visited the group of Prof. van Leeuwen at the Academic Medical Center of Amsterdam, The Netherlands, as a trainee. In 2016 she joined Prof. the group of Tittel group asVisiting Researcher at Rice University, Texas. After a 2-year Post-Doc at the Polytechnic of Bari, Italy,she’s currently an Assistant Professor in the same institution.Her research activity is focused on the development of gas sensors based on quartz-enhanced photoacoustic spectroscopy and on the optical coupling of hollow-core waveguides with interband- and quantum-cascade lasers.She has published 37 research articles, 2 reviews,2book chapters, more than 30 proceedings. She co-invented 2 patents.

Pietro Cassarà received his M.Sc. degrees in Telecommunication and Electronic Engineering from the University of Palermo in 2005 and his PhD degree in 2010, jointly with the State University of New York. Nowadays, he is a permanent staff member of the Institute of Science and Information Technologies (ISTI) at the National Research Council (CNR) and a permanent member of the National Inter-University Consortium for Telecommunications (CNIT), Pisa, Italy. Since 2017 he has been a temporary staff member of the CMRE lab at the NATO of La Spezia. His research interests include optimized automatic controls and machine learning theory for wireless sensor networks, distributed cyber-physical systems, and distributed learning architectures for networking. As part of his research activities, he has had the opportunity to participate in and coordinate activities in European, European Space Agency and Nationally funded projects. He is Co-Chair of the National IPv6 Council and a referee at the European Telecommunications Standards Institute for the IPE and NTI activities. He has been involved in many activities in organizing conferences, workshops and round tables, and in activities as an editor. He has been participating in the IEEE ComSoc and VTS committees and is involved in the activities of the IEEE Machine Learning for Communications ETI.

Shrikant Jadhav joined SJSU as an Assistant Professor of Electrical Engineering. He holds a Ph.D. from North Carolina A&T State University, Greensboro, NC. Before joining SJSU, he worked as an Assistant Professor for a year at Fort Lewis College, Durango, CO. He moved to the United States to pursue a Ph.D. in 2013. He received his Ph.D. in Electrical and Computer Engineering from the North Carolina A&T State University, Greensboro, in 2018. His research includes developing a methodology for accelerating computationally intensive applications like image processing, bioinformatics, machine learning, etc. He developed a multi-memory architecture for his Ph.D. dissertation to accelerate computationally intensive applications using an FPGA. In 2017, he drafted an HBCU/MI DoD grant proposal based on his Ph.D. dissertation results. The DoD awarded the proposal $460k for three years. He was hired as a postdoc to work on the "A Mobile High-Performance Computing System for Deployment in the Field" project supported by the DoD grant. He also drafted the HSAP/URAP grant proposal, which DoD funded for $10k. During his Ph.D. and Postdoc period, he mentored several high-school, undergraduate, and graduate students.

Chaoqun Yang is currently an associate professor with Southeast University. Prior to that, he was an engineer at Nanjing ResearchInstitute of Electronics Technology (CETC 14th). He received the B.S. degree inmarine technology from Xiamen University, Xiamen, China, in 2015, and the Ph.D. degree ininformation science and electronic engineeringfrom Zhejiang University, Hangzhou, China, in2019. His research interest concentrates radar information processing,cyber security, signal processing and information fusion, etc. He has published more than twenty related papers in the fields of cyber securityand signal processing. He was the session co-chair and received the best organizers award of the international conference on autonomous unmanned systems in 2022. He is also an active reviewer for IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology, Signal Processing, etc.

Dr. Yang XU is an assistant professor in School of Civil Engineering at Harbin Institute of Technology (HIT), China. His research interests include structural health diagnosis with computer vision and deep learning. He has published over 30 papers in top journalsand conferences (4 selected as ESI and WILEY top cited papers) and applied for over 20 national patents. As PI, he has taken more than ten research programs from National Natural Science Foundation of China, National Key and Develop Plan (twosub-projects), Postdoctoral Science Foundation of China, Natural Science Foundation of Heilongjiang Province, Postdoctoral Science Foundation of Heilongjiang Province, and State Key Laboratory. He was awarded the Fellowships of China National Postdoctoral Program for Innovative Talents and Heilongjiang Province Postdoctoral Young Talents.

Dr. Jianxiong Zhu completed his Ph.D. from the University of Missouri Columbia, USA, and he did postdoctoral studies at KAIST, Korea, and the National University of Singapore. He is an associate Professor from Southeast University. He has published more than 40 papers in reputed journals and has been serving as a youth editorial board member of Innovation, MMR.

Maria Ryabkova received the M.S. degree in physics from the N.I. Lobachevsky State University of Nizhny Novgorod in 2016. She currently holds a position of a junior researcher at the Institute of Applied Physics of the Russian Academy of Sciences (IAP RAS) and works with a Portugues scientific company Waves Team Lda. Her research interests include models of sea wave spectra, Doppler spectra of the signal reflected from waves and ice cover at low incidence angles and remote sensing of sea waves and ice cover at low incidence angles.

Na Liu received the B.E. degree in electronic information engineering and the Ph.D. degree in control science and engineering from the Beijing University of Chemical Technology, Beijing, China, in 2016 and 2021, respectively. She was also a Visiting Ph.D. Student with the University of Grenoble Alpes, Grenoble, France, funded by the Chinese Scholarship Council. She is currently a Post-Doctoral Researcher with the School of Information and Electronics, Beijing Institute of Technology, Beijing. Her research interests include remote sensing data analysis, hyperspectral data enhancement, and feature extraction.

Prof. M. De Cesare, PhD, is Senior Researcher in Applied Physics at CIRA (Italian Aerospace Research Centre) and Professor in Aerospace Physics Methodologies at University of Campania “Luigi Vanvitelli”. He is also PM&SEM in Novel Physics Methodologies for Aerospace Applications and a SEM in Airborne-gamma measurements for Natural and Anthropogenic Environmental Monitoring. His principal applications are based on the development of novel technologies for material and plasma applications in the re-entry vehicle phases. The Diagnostic Methodologies and Measurement Techniques Division at CIRA tests innovative structures for space re-entry vehicles and sustained hypersonic flight and for aeronautical subjected to high thermal gradients. It develops and perfects advanced experimental methods and tools: IR-thermography technique, Spectroscopy, Laser and Ion Beam Analysis applications. The laboratory carries out its tests in two large CIRA facilities, the SCIROCCO and GHIBLI plasma wind tunnels, which simulate the extreme conditions encountered during space re-entries and hypersonic flight. This allows the laboratory to validate newly developed design methods and to study very advanced TPS material.

Giorgio Poletti, researcher of Experimental Pedagogy, with National Scientific Qualification to the functions of Second Tier University Professor in Didactics, Special Pedagogy and Educational Research, and Co-Director of the Laboratory of Epistemology of Education at the University of Ferrara, is a doctor in Educational Sciences, collaborates with numerous foreign universities. Graduated in Mathematics, he developed a thesis on mathematical models working at CERN in Geneva. Researcher at the University of Ferrara he has developed research on "Structured models of Learning Objects and interactive functionality for online training". The interests of his research have been directed to the structuring of knowledge, ontologies, and metalanguages with particular attention to epistemological foundations and cognitive styles. He works in the field of educational technologies with a view to the relationship with the methodologies and processes of knowledge construction, with particular attention to languages, codes and the formalization of knowledge and educational robotics with attention to Artificial Intelligence, Deep learning, and Machine Learning. Speaker at several international conferences and author of numerous publications, some indexed in the main archives of research publications, including SCOPUS and Web of Science. Winner of the S.I.PED award (Italian Society of Pedagogy) 2022 with the book “Theory and methodology of educational research”. Ferrara: Volta la carta Editore.

Islam Saeed Fathi received the B.Sc. degree inmath and computer sciencesfrom the Faculty of Science, Zagazig University, Egypt, in 2013,M.Sc.degrees in computer sciences from the Faculty of Science, Zagazig University, Egypt, in 2019, and the Ph.D. Degree in computer sciencesfrom the Faculty of Science, Suez Canal University, Egypt, in 2023.He is currently working as a Lecturer of computer science, Al-Alson High Institute forTourism, Hotels and Computers, Cairo, Egypt. His research interests include Signal processing; Image processing, Biosensors, Sensor Applications, Sensing and Imaging, Internet of Health Things (IOHT), Remote Healthcare System, and bioinformatics.

ABDALLAH R. GAD received the B.S. degree in electronics and communications engineering from the Misr University for Science and Technology, Giza, Egypt, in 2013, the M.Sc. degree in communications and electronics engineering from Fayoum University, Faiyum, Egypt, in 2017,and the Ph.D. Degree in communication engineering from Fayoum University, Fayoum, Egypt, in 2022. he is currently working as an Assistant Professor at The Department of Communication and Electronic Engineering, October High Institute for Engineering and Technology, 6th of October City, Egypt. His research interests include machine learning, deep learning, and network security.

Dr. Anis Gasmi is a geomatics specialist. Since 2014, he worked as a teacher-researcher at Tunisian universities. Dr. Gasmi contributed to several remote-sensing research projects. Its research focuses on Remote Sensing Applications in Digital Soil Mapping, Soil fertility, Precision farming, Earth and Environmental Sciences.

Prof. Dr. Yousef FARHAOUI, is a Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. Chair of IDMS Team, Director of STI laboratory. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and also a member of the scientific committee of several international congresses, and is a member of various international associations. He has authored7 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inder science and Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inder science, etc. He has been the General Chair, Session Chair, and Panelist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.

Dr. D. Kumutha is an Associate Professor,the Department of Biomedical Engineering, KarpagaVinayaga College of Engineering and Technology, Chengalpattu, Chennai, India. She received her Bachelor of Electronics and Communication Engineering degree from Thiagarajar College of Engineering, Anna University in 2005 and Master of Computer and Communication from GTEC, Anna University in 2013. She received her Ph.D. from Vellore Institute of Technology in 2019 Vellore, TN. Her area of research is Wireless Communication, Antenna Systems, Networks, and Digital Image Processing. She is awarded three patents in her name. She has published over 40 technical papers in national and international conferences and journals and 4 book chapters. Recently, she received the Best Researcher Award in the AIR awards 2022.

Dr. Jamila Boudaden received her PhD in Experimental Physics from the University of Basel in Switzerland. Since 2011 she has been working as scientific member of the Silicon Technologies and Devices division. She has experience in MEMS devices realization, like microphones, micro-pumps. Her current research is focused on designing sensitive materials for highly selective gas detection, developing and analysing chemical sensors. She is currently preparing for "habilitation" at the Institute of Electronic and Sensor Materials, Technische Universität Bergakademie Freiberg, in the field of "Chemical and Biological Sensors". Within EU projects, we are working on the growing 2D-Layer (MoS2 and WS2) as well as the fabrication of 2D-layer to make devices on a 200 mm large scale wafer.

Emna AMRI, Doctor in Computer Science, has a career of collaboration between industry and academia. She has worked in various fields related to health, safety and environment. For several years, she has been studying the utility of conventional and deep learning approaches for offshore oil slick detection using multimodal data fusion. Particularly, she is interested in the application of machine learning in challenging contexts. As she seeks innovative and useful projects, she was involved in a waste management project aiming to classify and characterize waste using AI solutions. Throughout her career, she has contributed to several publications, including journals, books and conferences. Concerned with sharing information and contributing to the community, she teaches several hours in various modules related to her expertise. She is actively involved in several communities. She is constantly willing to explore and contribute to new projects.

Assistant Professor Muthukumar K A received his Ph.D. in Engineering from Keio University, Japan. His research focuses on artificial intelligence and machine learning, with a particular emphasis on sensor networks and computer vision. After completing his Ph.D., Muthukumar K A joined the faculty at the University of Petroleum & Energy Studies, India as a researcher, where he worked on developing new methods for deep learning and neural networks with sensing technologies. In 2022, he accepted a position as an assistant professor at University of Petroleum & Energy Studies, where he has been teaching and conducting research ever since. Muthukumar K A has multiple articles published in top-tier conferences and publications in his field, as well as several honors and funding for his work. He is also engaged in the broader AI field, serving as a reviewer for numerous publications and presenting invited speeches at conferences and seminars on a regular basis. Muthukumar K A is committed to teaching and mentoring students in addition to his research. He regularly teaches machine learning and AI classes and has mentored many undergraduate and graduate students on their research projects. Muthukumar K A is well-known for his enthusiasm for sensing technology with AI and machine learning, and he is dedicated to making a difference in the field through research and teaching. He is excited to continue contributing to the research area and teaching the next generation of AI researchers.

Arlene John received the Bachelor of Technology degree in electrical and electronics engineering from the National Institute of Technology, Calicut, India, in 2017, and the Ph.D. degree in Electrical and Electronic Engineering from University College Dublin, Dublin, Ireland, in 2022. She is currently working as a Machine Learning Engineer at ASML Netherlands B.V. In the summer of 2016, she was a Research Intern with the Indian Institute of Science, Bangalore, India. During June 2017–June 2018, she was with Bosch India Ltd., as a Project Manager and in engineering and strategy development for hybrid electric vehicles. During March–June, 2019, she was a Senior Visiting Researcher with the Beijing University of Technology, Beijing, China. Her research interests include multisensor data fusion, biomedical signal processing, and machine learning. Her research focuses on the development of data fusion frameworks for wearable health monitoring devices. In 2020, she was a finalist in the young female STEM pioneer category of the Diversity in tech awards. She was the recipient of the prestigious University College Dublin President’s Award 2021.

I am a PhD student at the UniversitC degli Studi della Tuscia in Viterbo, Italy. My project aims at developing biologging technologies to use synanthropic birds as monitors of our shared environment. Currently I am focussing on CO2 sensors, to gather fine-scale data on the main greenhouse gas responsible for climate change around the city of Rome, Italy. After my MSc in Environmental biology, where I studied the impact of environmental change on a wild bird population, I worked as data manager and analyst for a non-profit association of ornithologists. My experience brought me to work closely with a variety of scientists, pushing me to finally pursue my own line of research at the intersection of behavioural ecology and atmospheric monitoring.