Miroslav Velev received simultaneous B.S.& M.S. in Electrical Engineering, and B.S. in Economics from Yale University, 1994, and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, 2004. He is the Founder and President of Aries Design Automation, where he leads R&D projects on design and formal verification of microprocessors, Boolean Satisfiability (SAT), and related topics for the needs of NASA, the US Airforce, US Space Force, and others. He received: - the Franz Tuteur Memorial Prize for the Most Outstanding Senior Project in Electrical Engineering, Yale University, May 1994; - the EDAA Outstanding Dissertation Award for New Directions in Logic and System Design, 2005; and - the IEEE Aerospace and Electronic Systems Society (AESS) Industrial Innovation Award, 2021. He is: - Fellow of the American Association for the Advancement of Science (AAAS); - Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA); and - ACM Distinguished Member - Distinguished Scientist.

Prof. Souhail Dhouib, is listed as one of the World’s Top 2% Scientists in the main field “Information & Communication Technologies”, the first subfield of “Artificial Intelligence” and the second subfield of “Operations Research” (by Stanford University and Elsevier). He is Ranked 29th world’s best researcher in the discipline of Metaheuristic, 71th world’s best researcher in the discipline of Industrial Engineering and Operations Research and 106th world’s best researcher in the discipline of Mobile Robot by ScholarGPS (prior to five years). He invented a new concept of AI namely Dhouib-Matrix (DM). He designed several novel heuristics, new metaheuristics and even optimal methods (such as DM SPP, DM-MSTP, DM4, etc.) revolutionizing logistics, robotics, and supply chain optimization. Currently, he is acting as a Full Professor at the University of Sfax (TUNISIA). He has over 30 years of experience in academia and industry, founding two software firms and consulting globally. He is the former Vice President for the Tunisian Operations Research Society (TORS). Prof. Dhouib has authored 70 plus high-impact publications. He serves as the Frontiers Planet Prize and the African Planet Prize coordinator and nominator, promoting sustainability. He contributed as keynote speaker and editorial board member, bridging theory and practical applications in AI and Industry 4.0.

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems. She is a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society and was a Distinguished Lecturer of the IEEE Circuits and System Society. She is a Fellow of the IEEE.

Prof. Miin-Shen Yang received the B.S. degree in mathematics from Chung Yuan Christian University, Taoyuan, Taiwan, in 1977, the M.S. degree in applied mathematics from National Chiao-Tung University, Hsinchu, Taiwan, in 1980, and the Ph.D. degree in statistics from the University of South Carolina, Columbia, USA, in 1989. In 1989, he joined the faculty of the Department of Mathematics, Chung Yuan Christian University (CYCU), as an Associate Professor, where he has been a Professor, since 1994. From 1997 to 1998, he was a Visiting Professor with the Department of Industrial Engineering, University of Washington, Seattle, USA. Since 2012, he has been a Distinguished Professor, and now a life Distinguished Professor of the Department of Applied Mathematics, CYCU. He was the Chairperson of the Department of Applied Mathematics, the Director of Chaplain’s Office, and the Dean of the College of Science, CYCU. His research interests include applications of statistics, clustering algorithms, fuzzy clustering, soft computing, pattern recognition and machine learning. He was an Associate Editor of the IEEE Transactions on Fuzzy Systems from 2005 to 2011, and is an Editorial Board Member of Computer Science and Engineering section in the journal Electronics (MDPI). According to Stanford University’s Top 2% Scientists, he is among top 2% scientists as career impact and also single year impact of 2021~2024 in Artificial Intelligence & Image Processing. He is also listed in 2022~2024 as ScholarGPS global top 0.5% scholar.

Mark Young is the founder of the LUOS Foundation and architect of the 78-Day Reset a physiology-first model for restoring human capacity through regulation, rhythm, and systemic coherence. His work explores how biological systems reorganize under conditions of stability, drawing parallels between physical systems governed by structure and human systems governed by regulation. Mark’s framework challenges the mind-first model of transformation, proposing instead that sustainable change begins in the body through nervous system stability, metabolic rhythm, and repeated signals of safety. His research-informed approach integrates systems thinking, biological regulation, and performance science to explore how coherence at the physiological level shapes cognition, behavior, and meaning.

Dr. Amit Kumar Pandey, PhD (Robotics & AI), is a globally recognized Robotics and AI scientist and innovator, with a deep commitment to advancing social innovation through technologies for humanity. He is the President of Socients AI and Robotics, France. Dr. Pandey has held prominent leadership roles, including CTO – Robotics and AI at Rovial Space (France), and President, Chief Science Officer (CSO), and CTO at Hanson Robotics, the company that created one of the world’s most expressive social humanoid robots, Sophia. Previously, he served as Head Principal Scientist (Chief Scientist) at SoftBank Robotics Europe (formerly Aldebaran Robotics), Paris, the company that created the mass-produced social humanoid robots Pepper and Nao. He was the CTO and Chief AI Officer of beingAI, the world's first transmedia AI avatar company. He is also Co-founder of other initiatives in this sector including Global Robotics, Arts, and Science Synergies, Singapore; Global Institute for Robotics and AI, France. He aims to address societal needs to achieve innovation through scientific advancements, new technologies and collaborative ecosystem creation. On these aspects, he has been actively contributing as the principal investigator, researcher, and industrial scientific coordinator in more than 10 large scale national, international and European Union (EU) projects on various themes including healthcare, education, and services. He was appointed as the General Chair of IEEE/RSJ/KROS International Ro-Man 2019 conference with the theme: Responsible Robotics and AI for the Real World. Among other responsibilities, he is the founding coordinator of euRobotics (the European Union Robotics Community) Topic Group (TG): Socially Intelligent Robots and Societal Applications (SIRo-SA), and active contributor in the Multi-Annual Roadmap (MAR) and Strategic Research Agenda (SRA) of euRobotics, which the aim to shape the future of robotics in Europe in collaboration with European Commission (EC). He is also serving as the chair of the International Robot Design Competition, in the advisory boards of several global initiatives and companies, including Chairperson of AI Initiative in Africa, appointed as president collaboration for ARTPARK, IISc, India, and worked as a researcher in Robotics and AI at LAAS-CNRS (French National Center for Scientific Research), France. An accomplished researcher and speaker, Dr. Pandey has authored more than 60 research publications and delivered over 100 invited talks, keynotes, and TEDx talks at leading international forums. His honors include recognition among the Top 3 PhDs in Robotics in Europe, the Innovation Leadership Award, Global Excellence Award, Achievers Award, and the Non-Residential Bihari Honour.

Professor Hongmei (Mary) He (FHEA, SIEEE) is Chair Professor of Artificial Intelligence (AI) for Robotics and Autonomous Systems (RAS) at the University of Salford, Manchester, UK. She received her PhD in Computer Science from Loughborough University in 2006 and previously held research/academic posts at Bristol, Kent, Ulster, Cranfield, and De Montfort Universities. Before academia, she was a senior embedded systems engineer at Motorola Design House in China. Professor He’s research focuses on human-centred and trustworthy AI for RAS, addressing challenges in healthcare, safety, and sustainability. Supported by EPSRC, Innovate UK, the EU, and industry, her work integrates explainable AI, sensor-driven intelligence, and human–machine interaction to enhance real-world resilience and trust.Her flagship paper, “The Challenges and Opportunities of Human-Centred AI for Trustworthy Robots and Autonomous Systems” (IEEE TCDS), received the Best AI and Robotics Research Award (Overall) from UK Responsive AI and the EPSRC TAS Hub in 2025. She chairs the IEEE UK & Ireland Robotics and Automation Society Chapter and mentors early-career researchers globally, promoting inclusive, transparent, and responsible AI innovation for societal benefit.

Prof. Bernard H. Foing, president Space Renaissance International, executive director of ILEWG, CEO LUNEX EuroSpaceHub and EuroMoonMars Earth Space Innovation, Qomosys Chief Scientist. ERA chair at Riga Latvia, guest Prof at Leiden observatory, ISU, IPSA and formerly EPFL, VU Amsterdam . Member IAF committees (IPC, space exploration, astronomy, space habitats, traffic management, ITACCUS former chair), founder of ArtMoonMars and MoonGallery. Full member International Academy of Astronautics since 2010, vice-chair COSPAR planetary and PEX Panel on Exploration Panel, co-director IMA International Moonbase Alliance, founder Moon Village & MVA, EGU space instrumentation officer. Former ESA Chief Scientist, senior advisor to DG, chair of ESTEC staff association committee (2012-2017) & SMART-1 Lead scientist. Co-Investigator of SOHO, XMM, BIOPAN, SMART-1, Mars Express, COROT, ISS/Expose, BIOMEX, ExoMars. Publications : 980 articles, including 240 refereed papers. Edited 10 Books. Academics : Habilitation 1990. He has been working at CNRS, and as post-doc astronomer ESO European Southern Observatory Chile, PhD astrophysics & space techniques (CNRS, Lockheed, SacPeak, Boulder, Harvard), Prof agrégé Physics, Ecole Normale Supérieure ENSET Paris-Saclay”. https://scholar.google.com/citations?user=_fTVp0kAAAAJ&hl=en

Miodrag J. Mihaljevic has been holding long-term visiting positions at various universities and research institutes in Japan, including The University of Tokyo, Tokyo, Japan; Sony Research Laboratories, Tokyo; and the National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, since 1997. He is currently a Distinguished Professor with Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China, as well as with Serbian Academy of Sciences and Arts, Belgrade, Serbia. His main research interests include cryptology, information security, blockchain technology and machine learning. Dr. Mihaljevic has been an Elected Member of the Academia Europaea since 2014. He has been an Elected Member of Serbian Academy of Sciences and Arts since 2021. In 2013, he received the National Award of Serbian Academy of Sciences and Arts, achievements for ten years. In the six consecutive years 2020–2025, he was included in the ranked list colloquially known as “World’s Top 2% Scientists” (by Elsevier and Stanford University), regarding his career achievements.

Lu ZHANG, male, is a Professor (Level II) and Vice Dean of the School of Economics and Management at Inner Mongolia University of Technology. He also serves as President of the Inner Mongolia Youth Science and Technology Association. He has received numerous prestigious honors, including the National High-Level Talent Special Support Program (Young Top-notch Talent), the China Youth May Fourth Medal and New Era Youth Pioneer Award, Top Ten Annual Figures in National Business Education, Youth Innovation Talent of the Inner Mongolia Autonomous Region, Leading Talent of the Twelfth Batch of the Grassland Talent Program of the Inner Mongolia Autonomous Region, Outstanding Educator of the Inner Mongolia Autonomous Region, First-Tier Talent of the New Century 321 Talent Project, Outstanding Party Affairs Worker in Higher Education Institutions of the Inner Mongolia Autonomous Region, and Outstanding Young Scholar of the Inner Mongolia Autonomous Region, among others. He has published a total of 97 high-quality academic papers indexed in CSSCI, SSCI, and SCI journals. These include 2 papers in Management World, 5 SSCI/SCI papers in journals such as the International Journal of Production Economics (ABS 3*), 36 papers in FMST Category 1 journals such as Nankai Business Review, 9 papers in FMST Category 2 journals such as the Journal of Management, and 29 other CSSCI-indexed papers. He has led 6 national-level research projects and 18 major or key provincial- and ministerial-level projects. In addition, he has published 8 articles in Economic Daily and Guangming Daily, and has led the preparation of more than 50 research reports and policy advisory reports. He has also served as chief editor of 4 academic monographs. Research Interests: Enterprise Technological Innovation Management*

Dr. Zhenchun Xia earned his Ph.D. from Texas A&M University in 2012 and is an IEEE Senior Member. He has 20+ years of control and simulation experience spanning Daimler, Mercedes-Benz, Chrysler, Mitsubishi, Autoliv, and Magna. As Founder & CEO of A&M SIM Global, Dr. Xia leads the development of real-time, high-fidelity simulation platforms for AD/ADAS, drones, and robotics. His expertise includes control theory, sensor modeling, and real-time simulation. He has published 30+ papers and has been invited to speak at international conferences on AD/ADAS, Control, Sensors and Safety.

Tetsuya Shimamura received his B.E., M.E. and PhD degrees in Electrical Engineering from Keio University in Japan, in 1986, 1988 and 1991, respectively. In 1991, he joined Saitama University in Japan, where he is currently a Professor of Graduate School of Science and Engineering. He was Head of Department of Information and Computer Sciences at Saitama University in 2012 and 2013, and Dean of Information Technology Center in 2014 and 2015. In 1995 and 1996, he joined Loughborough University, UK, and The Queen’s University of Belfast, UK, respectively, as a visiting Professor. His research interests are in digital signal processing and its applications to speech, audio, image and communication systems. A various range of research is covered such as speech analysis, speech enhancement, image quality assessment, image restoration, wireless communication, sensor network and cognitive radio. He has published over 500 refereed journal articles and international conference proceedings papers. He is an author or co-author of eight books, and a member of the organizing committee of several international conferences. He has received IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Gold Paper Award, in 2012, WSEAS International Conference on Multimedia Systems and Signal Processing, Best Paper Award, in 2013, IEEE IFOST, Best Paper Award, in 2014, and IEEE ICCE-TW, Best Paper Award, 2025. Also, he is a recipient of Journal of Signal Processing, Best Paper Award, in 2013, 2015, and 2016, and Yahagi Commemorative Award of Journal of Signal Processing, in 2018. He is an IEEE senior member.

Prof. Dr. Gülşen Akman is a Professor of Industrial Engineering at Kocaeli University, Türkiye, and a prominent scholar specializing in digital transformation, green and sustainable operations, logistics systems, and AI-based decision-support models. With over 25 years of academic and industrial experience, she has led numerous nationally and internationally funded research projects, including Horizon Europe, Erasmus+, TÜBİTAK, and BAP programs. Her work focuses on creating innovative frameworks such as digital and green maturity models for ports and manufacturing systems, disaster resilience assessment models, hybrid MCDM methodologies, and AI/ML applications in industrial engineering. Prof. Akman has an extensive publication record in high-impact international journals and has authored several book chapters, conference papers, and consultancy reports for industry. She has supervised many graduate theses in machine learning, supply chain optimization, sustainable operations, and decision analytics. Beyond her research, she has coordinated multiple collaborations with European research institutes and industry partners, fostering interdisciplinary innovation between academia and practice. Prof. Akman is also a frequent invited speaker at international conferences, where she shares her expertise in next-generation industrial engineering, smart technologies, and twin transformation.

Slavisa Aleksic main interests are in network technologies and protocols, network management, sustainability, and smart environments. He obtained both the Dipl.Ing. (MSc) and the Dr. techn (PhD) degrees as well as his veniadocendi teaching authorisation (habilitation) for Communication Networks from the Vienna University of Technology. He is currently a Professor at the University of Applied Sciences (HTWK) Leipzig, where he is responsible for teaching and research within the broad area of network technologies and network management. Previously, he was a Senior Researcher and Lecturer at the Vienna University of Technology, Austria and a Professor at the University of Telecommunications Leipzig (HfTL), Germany. He was also a Visiting Researcher at the INTEC-IBCN of the Ghent University. Dr. Aleksic is author or co-author of more than 150 scientific publications. He has been involved in a number of projects including projects funded by the European Union, the Austrian Science Fund (FWF), the Austrian Research Promotion Agency (FFG), ERASMUS and the European Cooperation in Science and Technology (COST) as well as in collaboration with industry. Slavisa Aleksic is a Senior Member of the IEEE and a member of the OVE, the MRS, and the IEICE. He serves as a member of the Technical Programme Committees of a dozen of international conferencesand a reviewer for numerous reputed journals and book series. He received several international and national awards and grants such as five best paper awards, the biggest Austrian business plan award i2b (second level)and the grant of the Austrian Federal Ministry of Education, Science and Culture.

Dr. Rami Ayoob is the Chief Executive Officer and Founder of Spark Information Technology and Astro Tech Hub, with over 20 years of executive-level experience in strategic IT leadership, digital transformation, and enterprise innovation. A visionary and results-driven leader, he has been responsible for defining and executing enterprise-wide IT strategies that align technology investments with long-term business objectives, driving measurable organizational growth and value creation. Dr. Ayoob is widely recognized for his expertise in business strategy, digital transformation, IT governance, and data-driven decision-making. He has led the development and implementation of robust short- and long-term technology roadmaps, enabling organizations to integrate advanced technologies seamlessly into existing processes while delivering incremental and sustainable value. His strong analytical capabilities allow him to translate complex data into actionable insights that support effective problem-solving and strategic planning. In addition to his corporate leadership, Dr. Ayoob is the Founder of Astro Tech Hub, a research-driven initiative focused on advancing space science and technology. Through Astro Tech Hub, he leads research into astrophysics, aerospace innovation, and theoretical modeling of celestial phenomena, with a mission to create a meaningful positive impact on human life on Earth through space-based research and advanced technological applications. Dr. Ayoob’s leadership and contributions have earned him numerous international recognitions, including the World CIO 200 Awards, CIO 1000 Award (Asia Pacific), Accelerator X Awards, and ICT Leadership Awards, among others. He is frequently featured in global media and professional platforms for his insights into technology innovation, digital leadership, and the future of IT-enabled transformation.

Wai Lam received a Ph.D. in Computer Science from the University of Waterloo. He obtained his BSc. and M.Phil. degrees from The Chinese University of Hong Kong. After completing his Ph.D. degree, he conducted research at Indiana University Purdue University Indianapolis (IUPUI) and the University of Iowa. He joined The Chinese University of Hong Kong, where he is currently a professor. His research interests include text mining, large language models, natural language processing, and machine learning. He has published articles in IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems, etc. His research projects have been funded by the Hong Kong SAR Government General Research Fund (GRF) and DARPA (USA). He also managed industrial projects funded by Innovation and Technology Fund (industrial grant) and IT companies.

I am a Senior Robotics Engineer and Product Development Manager at TeleliftGmbH, where I lead initiatives to bridge the gap between state-of-the-art AI, advanced robotics, and healthcare logistics. With nearly a decade of cross-industry experience, my background spans large-scale automation deployments at Amazon Robotics, innovative startup research in agricultural automation, and the engineering of industrial-grade outdoor robots featuring novel kinematics. My commitment to healthcare robotics was cemented during the height of the COVID-19 pandemic. For my master’s thesis, I partnered with the University of Valladolid and the community of Castilla y León, Spain, to develop an autonomous teleoperation robot designed to protect and assist frontline healthcare practitioners. Today, at TeleliftGmbH, I leverage this unique blend of massive-scale industrial logistics and specialized medical research to build the next generation of intelligent supply chain solutions for the healthcare sector.

Lakmali Shashika Karunarathne, FHEA, is a Lecturer, Module Director, and Academic Induction Lead in the Computer Science and Data Science Department at York St John University, London Campus, UK. Her expertise spans databases, artificial intelligence, machine learning, Internet of Things (IoT), and blockchain technologies. Lakmali Karunarathne has contributed to over 140 international conferences held in the UK, Denmark, Switzerland, Japan, China, Dubai, the UAE, Austria, Australia, and Canada as Program Committee member, Technical Reviewer, Local Chair, Publicity Chair, Associate Editor and Guest Speaker. She is a Certified External Examiner and a Verified Advance HE Fellow, actively engaged in academic leadership, curriculum development, and postgraduate supervision. Her research focuses on optimizing data management and analytics for intelligent, real-time, and AI-driven systems, particularly within IoT-enabled environments.

Chiara Passamonti is a Postdoctoral Researcher in Statistics at the University of Luxembourg, working under the supervision of Prof. Christophe Ley in the MIDAS team. She received the Ph.D. in Economics and Statistics from the Università "G. d'Annunzio" of Chieti-Pescara in December 2025. Her main research interests include nonparametric statistics, directional statistics, and compositional data analysis, including errors-in-variables settings. Her current work focuses on addressing the boundary problem in density estimation for univariate and bivariate data, as well as for data defined on the sphere. At the University of Luxembourg, she is involved in the PERFORM project, which develops statistical tools that integrate traditional methodology with machine learning approaches for multi-modal, continuous, and densely collected data, with applications to athletic performance and mental health.

Dr. Tran is a Researcher at Department of Electrical Engineering, University of Malta, Malta. He was a Postdoctoral researcher at Department of Naval Architecture and Ocean Engineering, Seoul National University (SNU), Seoul, South Korea (October, 2022 – October, 2023). He is an Assistant Professor (Lecturer) at Department of Marine Engineering, Vietnam Maritime University, Haiphong City, Vietnam. He is an Honorary Professor at School of Computing Science and Engineering, Galgotias University, India and an Honorary Adjunct Professor at School of Computer Science and Engineering, Lovely Professional University (LPU), India. Additionally, he is an Adjunct Faculty at SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, Tamilnadu, India. He received B.Eng and M.Sc at Vietnam Maritime University, Vietnam in 2011 and 2014, respectively. He got Ph.D. Degree at Wuhan University of Technology, Wuhan, China in 2018. He is an Editor/Guest Editor for the reputation journals indexed in SCI/SCIE such as Environment, Development and Sustainability, IET Intelligent Transport System, International Journal of Distributed Sensor Networks, Sustainable Computing: Informatics and Systems, International Journal of Renewable Energy Technology, International Journal of Energy Optimization and Engineering, IEEE Internet of Things Magazine, Mathematics. In 2015, he had been awarded the Chinese Government Scholarship (CSC) for the full funding of Doctor of Philosophy (PhD) program in China. In 2019, He had been awarded the NEPTUNE prize for the outstanding researchers by Vietnam Maritime University, In 2022, he is one of five outstanding scientists in Vietnam to be nominated for Ta Quang Buu prize by the National Foundation for Science & Technology Development (NAFOSTED). Additionally, he had been selected and awarded the full scholarship for the Postdoctoral Fellowship Program of National Research Foundation (NRF) for Foreign Researchers by the Government of South Korea.

Arpan Pal has more than 33 years of experience in Intelligent Sensing, Signal Processing &AI, Edge Computing and Affective Computing. Currently, as Distinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCS Research at Tata Consultancy Services (TCS) India, he is working in the areas of Connected Health, Smart Manufacturing, Smart Retail and Remote Sensing. Arpan has filed 225+ patents (out of which 140+ granted in different geographies) and has published 200+ papers and book chapters in reputed conferences and journals. He is listed among the top 20 innovators in India in terms of patents. He is two times winner of Tata Group top Innovation award in Tata Innovista under Piloted technology category. He is recipient of Distinguished Alumnus award from IIT Kharagpur, India and is a Fellow of Indian National Academy of Engineers (FNAE). Prior to joining TCS, Arpan had worked for Indian Defence R&D lab DRDOas Scientist for Missile Seeker Systems and in Rebeca Technologies as their Head of Real-time Systems. He is a B.Tech and M. Tech from IIT, Kharagpur, India and PhD. from Aalborg University, Denmark. He is on the editorial board of notable journals like ACM Transactions on Embedded Systems and has been on different organizing committees of notable conferences like IEEE Sensors, IEEE APSCON, ICPR and IEEE Percom. He has written three complete books on IoT, Digital twins in Manufacturing and Application of AI in Cardiac Disease screening.

Rodrigue Tagne Simo is an AI researcher and engineer specialising in multimodal artificial intelligence, graph-based learning, and intelligent control of complex cyber-physical systems. Holder of a Master of Research in Electrical Engineering with a focus on Applied Artificial Intelligence for Smart Grids, and a Master of Engineering in Industrial Robotics and Automation. My interdisciplinary background spans power systems engineering, robotic process automation, and advanced machine learning architectures. My master's research produced a Multimodal Hybrid AI Framework integrating Graph Neural Networks for topology-aware state estimation, CNN-LSTM pipelines for spatiotemporal sensor analysis, Variational Autoencoder-Transformer fusion for probabilistic uncertainty quantification, and Reinforcement Learning with Proximal Policy Optimisation for adaptive closed-loop control all validated on real smart grid cyber-physical data. This framework addresses simultaneous challenges of anomaly detection, state estimation, and intelligent decision-making in distributed energy infrastructure operating under uncertainty. My research interests lie at the convergence of AI safety, explainable machine learning, autonomous robotic systems, and data-driven decision support for critical infrastructure. I applied my AI methodology across a wide range of domains including power grid cybersecurity, structural health monitoring, autonomous robotic manipulation, brain-computer interfaces, soft medical robotics, and sustainable manufacturing demonstrating the cross-domain transferability of my core architectural contributions. I am currently pursuing doctoral opportunities at leading research institutions across Europe, North America, and the Asia-Pacific region, with a focus on advancing interpretable, uncertainty-aware AI systems for complex real-world environments. With over eight years of teaching experience spanning secondary and university levels, I have directly observed how digital tools influence student engagement, motivation, and learning strategies. This experience has deepened my commitment to empirical educational research particularly the design of observational and experimental studies that rigorously evaluate learning outcomes under varying assessment conditions. I am based in Douala, Cameroon, and is committed to contributing to the development of impactful AI research with tangible applications in industry, healthcare, and sustainable infrastructure.

Dr. Tauheed Khan Mohd is an Assistant Professor at Eastern Michigan University's School of Information Security & Applied Computing. He earned his B.Tech in Computer Engineering from Jamia Millia Islamia, New Delhi, India, in 2006, followed by an M.S. and Ph.D. in Human-Computer Interaction (HCI) from The University of Toledo, Ohio, completed in 2015 and 2019, respectively. In 2023, he was promoted to Senior Member of the IEEE in recognition of his significant contributions to HCI and Cybersecurity. Dr. Khan Mohd has extensive experience in both academia and industry. He served as a Software Engineer at HCL Technologies, India, for three years, and then spent four years at SOPRA, a French multinational company. His industry work also included a three-month on-site assignment at AIRBUS in Toulouse, France, managing their onboard Network Server System (NSS) application. His research spans Human-Computer Interaction, Cybersecurity, Autonomous Vehicles, and Microcontroller-based systems, including Arduino and Raspberry Pi. Dr. Khan Mohd is passionate about bridging research and practical applications, contributing to the advancement of emerging technologies and security solutions.

Dr. Slavik Avagyan is a researcher in the natural sciences with broad interests spanning atmospheric physics, astronomy, and astrophysics. He proposed a fundamentally new explanation for the formation of hail and newly formed snow, presented at the XXI International Congress of Theoretical and Applied Mechanics (2004, Warsaw, Poland). In recent years, his work has focused on astronomy and astrophysics, including a presentation at the IAU XXVIII General Assembly (2012, Beijing) on the source of stellar energy. Using novel theoretical approaches, Dr. Avagyan has challenged prevailing cosmological models, arguing against the occurrence of the Big Bang, and has developed an original model for the formation and stability of the Solar System. He has also provided a general solution to the Gasca–Maeztu hypothesis. Among his most notable contributions is his paper “On the Michelson–Morley Experiment” presented at PhysCon 2009 (Catania, Italy), in which he argued that the experiment underlying Einstein’s theory was unsuccessful.