Organizing Committee

Ohbyung Kwon is a Professor at Kyung Hee University. His research focuses on digital innovation, and the adoption and impact of emerging technologies, including artificial intelligence and quantum computing technologies. He has published extensively in internationally recognized academic journals and has been actively involved in interdisciplinary research projects bridging technology, management, and policy. He also serves the academic community through editorial and review activities for scholarly journals and conferences.

Yong Zhang is a Professor in the Electrical and Computer Engineering Department at the University of North Carolina at Charlotte. He is affiliated with the Optoelectronics Center and the Nanoscale Science Ph.D. Program, and also serves as an Adjunct Professor in the Department of Physics and Optical Science. His research focuses on optoelectronics and nanoscale science, with strong interdisciplinary contributions to engineering and applied physics.

Siddhartha Bhattacharyya is a Senior Researcher at VSB – Technical University of Ostrava, Czech Republic. He is a Full Foreign Member of the Russian Academy of Natural Sciences and the Russian Academy of Engineering, and a Fellow of several prestigious professional bodies in the UK and India. Prof. Bhattacharyya’s academic and research work spans interdisciplinary engineering and applied sciences, with significant contributions to international research collaborations. He is actively involved in scholarly publishing, peer review, and global academic leadership through his affiliations with IEEE, ACM, and other professional organizations.

Jose Rosas-Bustos is a researcher at the University of Waterloo, Canada, specializing in quantum communication, quantum information processing, and cybersecurity. His work focuses on identifying hidden vulnerabilities in quantum systems and advancing secure quantum technologies by leveraging fundamental principles of quantum mechanics. He has contributed to both academic and applied research, authoring peer-reviewed publications and securing multiple patents related to cloudless computing and decentralized system architectures. Mr. Rosas-Bustos’s research bridges theoretical quantum science with practical implementations, positioning him as an emerging contributor in quantum integrity, secure computing, and data privacy.

Teo Tee Hui is a Senior Lecturer at the Singapore University of Technology and Design (SUTD), affiliated with the Information Systems Technology and Design (ISTD) pillar. He holds a Master of Engineering and Ph.D. in Electrical and Electronic Engineering from the National University of Singapore and Nanyang Technological University, respectively. Prior to academia, he spent over a decade in industry as a senior integrated circuits (IC) designer with organizations including Sharp, ST Microelectronics, and Matsushita, and later served as a Principal Investigator at A*STAR’s Institute of Microelectronics. His research interests include IC design, device characterization and modeling, and design science education. Dr. Teo is a Senior Member of IEEE and a Fellow of the Institution of Engineers Singapore (IES).

Hendry Y. Nanlohy is a professor of mechanical engineering specializing in advanced fuel engineering, combustion physics, and functional materials for energy systems. His recent work incorporates quantum mechanical modeling to analyze electron-molecule interactions and catalytic behavior in next-generation biofuel materials. He has published widely in international journals and is recognized for integrating materials characterization, quantum-level analysis, and applied combustion engineering to advance sustainable energy technologies.

Mohamad Fawzi Mahomoodally is Professor and Dean of the Faculty of Medicine and Health Sciences at the University of Mauritius and a Harvard University alumnus. His research expertise spans biopharmaceuticals, biomedical sciences, and health sciences, with a strong international academic presence as a visiting professor in South Africa, India, and China. He has authored more than 635 scientific publications and delivered over 50 keynote and plenary lectures worldwide. Throughout his career, he has mentored more than 200 undergraduate students and over 15 PhD scholars and postdoctoral fellows. He has been recognized as a TWAS-ROSSA Young Affiliate and a member of the Global Young Academy. He has also received several international distinctions, including leadership and scientific excellence awards. For four consecutive years, he has been listed among the world’s top 2% of scientists by Stanford University.

Wei-Chiang Hong is a Professor and Doctoral Supervisor at the College of Shipbuilding Engineering, Harbin Engineering University, China. He is recognized as a National Overseas High-level Leading Talent (HEU, China) and serves as a Jiangsu Distinguished Professor. Prof. Hong is also a Senior Member of IEEE (SMIEEE). His research focuses on complex nonlinear dynamical system simulation and intelligent forecasting, particularly in developing advanced computational and predictive models for complex engineering systems. Through his work, he contributes to the advancement of intelligent data-driven forecasting and system modeling.

Dr Xing Liang is the Head and Founder of the Quantum AI (QAI) Research Group at Kingston University (KU), and an Academic Champion of the Royal Academy of Engineering, UK. She received the PhD degree in mobile satellite communications from the University of Bradford, UK. Over the past 15 years, she has been led and contributed to multiple EU and UK research projects: H2020 ENSURESEC, H2020 EUNOMIA, EPSRC COMCORD, IST FIFTH, IST SatNEx, and Dunhill Medical Trust funded ATDA-BSL, alongside several industrial related research projects. Dr Liang is deeply commitment to academic excellence, serving as Lead Guest Editor for Electronics’ Special Issue: Advances in Quantum Machine Learning, Editorial Board Member of AI & Materials, and a reviewer for prestigious journals. Her research focuses on deep learning, machine learning and the convergence of quantum computing and artificial intelligence – quantum machine learning to unlock new capabilities in solving complex, real-world challenges such as finance time series forecasting, sustainable energy optimization, social media security and digital healthcare.

Inmaculada Jennifer Gómez Pérez is a Spanish chemist and researcher in physical chemistry and nanomaterials at the University of A Coruña. Her work focuses on carbon-based nanomaterials, including graphene quantum dots, with applications in bioimaging, sensing, and nanomedicine, and also explores the self-assembly of nanostructures and the development of advanced functional materials for biological uses. Member of the NANOSELF4BIO research group, collaborates with interdisciplinary teams in areas such as healthcare and environmental science, and has contributed to several international scientific publications, helping advance innovative materials with real-world applications.

Ahmed A. Abd El-Latif is a leading expert in quantum cybersecurity with over 18 years of academic and research experience. He earned his Ph.D. with honors from Harbin Institute of Technology in 2013 and is currently a Full Professor at Menoufia University (since 2024). He has authored 400+ publications, 20 books, and received over 17,000 citations. Prof. Abd El-Latif leads the MEGANET 6G Lab and serves as Vice Chair of the EIAS Research Lab. His research focuses on quantum computing, AI, and secure communication systems for IoT and smart cities. He has pioneered quantum-inspired cryptographic techniques and quantum-resistant security solutions. A recipient of multiple prestigious awards, he also serves as Editor-in-Chief of an international journal in information security. His vision is to advance quantum-safe cybersecurity and mentor future researchers in post-quantum technologies.

Serena Nicolazzo is a Tenure-Track Assistant Professor at the University of Pavia. She received her Ph.D. in Information Engineering from the University Mediterranea of Reggio Calabria in 2017. She served as a Tenure-Track Assistant Professor at the University of Eastern Piedmont from May 2025 to February 2026, as an Assistant Professor at the University of Milan from 2023 to May 2025, and as a Postdoctoral Researcher at the University Mediterranea of Reggio Calabria in 2018. Her research interests include Security, Privacy, and Social Network Analysis. She serves on the Technical Program Committees of several prestigious international conferences, including ACSAC 2025 and ACSAC 2026, and she is an Editorial Board Member of the journal Online Social Networks and Media (OSNEM). She is the author of approximately 60 scientific publications. She was a Visiting Researcher at Middlesex University, London, and is currently collaborating with the Polytechnic University of Marche, the University of Padua, University College London, and the Cochin University of Science and Technology.

Dharma Teja Valivarthi holds a Master's degree from San Francisco Bay University (2014) and a Bachelor of Engineering in Electronics and Electrical Engineering from The Robert Gordon University, Scotland, UK (2010). Passionate about semiconductors and computing, Dharma has over a decade of experience in cloud and networking. He has been a member of the Institution of Engineering and Technology (IET) since 2010, demonstrating his commitment to professional excellence and continuous development in the field.

Sreekar Peddi is a prominent figure in the field of IT and cloud services, currently serving as the consultant NextGen Platforms and Cloud Services at Tek Leaders Inc.. With a career spanning over a decade, he has been instrumental in modernizing IT infrastructure and enhancing cloud security for various organizations. His work has significantly contributed to the resilience and efficiency of critical state services in California, especially during high-demand periods such as the COVID-19 pandemic and wildfire crises. Sreekar's expertise extends to implementing agile methodologies and building robust ecosystems that support scalable and secure applications. Under his leadership, Company has successfully enabled public safety and health agencies to achieve greater operational resilience, handling millions of simultaneous inquiries with zero downtime. Additionally, his role involves ensuring compliance and governance while fostering a cuTlture of transparency and collaboration within the IT community.

Swapna Narla is the CEO of Tek Yantra, an IT consulting and software development company. She has been instrumental in leading the company to become a prominent player in the DevOps and cloud solutions space. Swapna's vision centers on simplifying technology for clients, ensuring that their automation and digital transformation efforts are effective and aligned with business goals. Under her leadership, Tek Yantra has earned recognition for its innovative approaches to IT services and solutions, helping businesses enhance their speed, scalability, and efficiency. She has masters degree from Osmania university ( MCA ) and bachelors degree ( BCA) , Previous to this role at Tek yantra she worked as Information technology consultant at Amdocs, Sacrosoft, Tek leaders inc.

Jinwook Kim is a Principal Researcher at the Autonomous Driving Research Center of the Korea Automotive Technology Institute (KATECH). With a career spanning over a decade, he possesses extensive professional expertise in large-scale network system design and optimization. Previously, he held pivotal roles at Samsung Electronics and the KT (Korea Telecom) Convergence Technology Institute, where he was instrumental in RF circuit design, 5G/6G communication system architectures, and the development of AI-driven antenna design automation tools. His professional background includes leading critical national projects related to 6G 3D spatial mobile communication, UAM/satellite-integrated communication scenarios, and 5G Intelligence Infra implementation. Currently, Jinwook Kim is pioneering cutting-edge research projects focusing on V2X communication, network slicing-based traffic control, and innovative quantum network technologies. His work is characterized by the development of practical, industry-applicable algorithms designed to solve the complexities of next-generation mobility and high-security communication environments. His primary research interests are centered on the convergence of AI, quantum technologies, and intelligent network infrastructure to build robust, high-performance, and secure connectivity solutions. Throughout his career, he has consistently demonstrated a commitment to bridging the gap between theoretical research and real-world system implementation, contributing significantly to the advancement of next-generation intelligent communication networks.

Andre Tanus Cesario de Souza is a faculty member in the Faculty of Physics at the Federal University of Minas Gerais (UFMG), Brazil. He holds a Ph.D. and M.Sc. in Theoretical Physics with a focus on Quantum Information Theory from UFMG, along with a Bachelor’s degree in Physics with emphasis on Mathematical Physics. His research interests include quantum information theory, foundations of quantum mechanics, classical information theory, and quantum thermodynamics. He is a member of the Enlight/UFMG Research Group in Quantum Information Theory and actively contributes to research and education in quantum sciences through academic and scientific collaborations.

Bernard Lee is the Founder and CEO of HedgeSPA, a boutique investment analytics firm leveraging AI, big data, and cloud technologies. Previously, he was an award-winning Managing Director at BlackRock’s Portfolio Management Group in New York and has held academic roles in finance and analytics. Dr. Lee holds degrees from Princeton University, Stanford University, and Imperial College London, and has authored books and numerous journal articles in quantitative finance and analytics.

Jon Links is a Reader in Mathematical Physics and Associate Professor in the School of Mathematics and Physics, Faculty of Science, The University of Queensland, Australia. His research focuses on mathematical physics and quantum theory, including Lie and quantised algebras, exactly solvable models, and integrable systems. He received his PhD from the University of Queensland and currently works on the design and control of integrable quantum devices.

Sergey V. Talalov is a Doctor of Physical and Mathematical Sciences and Professor in the Department of Applied Mathematics and Informatics at Togliatti State University, Russian Federation. His academic work spans applied mathematics and computational sciences, and he has contributed extensively to research and higher education through scholarly publications and academic leadership.

Domenico Zito is an academic and researcher affiliated with AGH University of Science and Technology, Poland. His work focuses on advanced engineering and technology-driven research, contributing to both academic scholarship and applied innovation. With verified institutional affiliation at AGH University, he is actively involved in research, teaching, and collaborative projects within his field, supporting the development of modern scientific and technological solutions.

Nor Aliya Hamizi is an academic and researcher affiliated with the University of Malaya, Malaysia. She is engaged in scholarly research and academic activities within her area of expertise, contributing to research development and knowledge dissemination at one of Malaysia’s leading universities. With a verified institutional email at the University of Malaya, she actively participates in academic collaborations, research initiatives, and higher education advancement.

Fabio Beltram is a Full Professor of Experimental Condensed Matter Physics and Applications (SSD: PHYS-03/A) in the Classe di Scienze at the Scuola Normale Superiore, Pisa, Italy. His research focuses on experimental physics of matter, with strong emphasis on nanoscience and applied condensed matter physics. Prof. Beltram is actively engaged in advanced research, academic leadership, and mentoring, contributing significantly to the development of innovative physical technologies and scientific excellence.

Tarun Biswas is an Associate Professor in the Department of Computer & System Sciences, Siksha Bhavana, Visva-Bharati— a Central University and an Institute of National Importance (AoP 1951), India. He is an active researcher and academic contributor in computer and system sciences, with scholarly work published and indexed on platforms such as Google Scholar and ResearchGate.

Abdulrahman K. Alnaim is an academic and researcher at King Faisal University, Saudi Arabia. His work focuses on advancing research and innovation within his field, contributing to academic development and scholarly collaboration. He is actively involved in research, education, and institutional initiatives that support scientific excellence and knowledge dissemination. Dr. Alnaim is committed to fostering academic partnerships and promoting high-quality research at both national and international levels.

Tuan-Vinh Le is a faculty member in the field of Artificial Intelligence and Information Security at Fu Jen Catholic University, Taiwan. His academic work focuses on AI technologies, information security, and related computational research areas. He is actively engaged in teaching, research, and academic collaboration, contributing to advancements in intelligent systems and secure information technologies.

Jintai Ding, PhD, is the Charles Phelps Taft Distinguished Professor Emeritus at the University of Cincinnati. He is a leading expert in cryptography and post-quantum security and is widely recognized as the inventor of the first post-quantum key exchange based on Learning With Errors (LWE). His research has made foundational contributions to post-quantum cryptography, lattice-based methods, and quantum-resistant security systems.

Tamara Amro, MSc, is a researcher in the Department of Applied Physics at the Rachel and Selim School of Engineering, Hebrew University of Jerusalem, Israel. Her work focuses on applied physics and related interdisciplinary research within engineering and scientific domains. She is actively involved in academic research, collaboration, and knowledge exchange through her institutional and scholarly activities.

Young-Hun Kwon is a Professor in Intelligent Information & Quantum Engineering at Hanyang University, South Korea. He received his B.Sc. from Hanyang University and completed his M.Sc. and Ph.D. in Theoretical Physics at the University of Rochester, USA. He has previously served as a researcher at the University of Minnesota. His research interests include quantum information, quantum computing, and artificial intelligence.

Beya OUERTANI obtained her Bachelor's Degrees in physical sciences, her "DEA" in quantum physics, her PhD, and her habilitation, in physics, about thin films for low cost solar cells, at the Faculty of Sciences of Tunis-University of Tunis El Manar. She had been researcher at the Photovoltaic and Semiconductor Materials Laboratory,(LPMS) ENIT, Tunisia. Then, researcher at the Laboratory of Semiconductors, Nanostructures and Advanced Technology (LSNTA), and she has been researcher at the Laboratory of Phototovolaîc (LPV) at the Research and Technology Center of Energy (CRTEn), Science and Technology Park of Borj Cedria. She has been teaching at the Higher Institute of Environmental Sciences and Technologies of Borj Cédria, University of Carthage. Since 2025 she has been teaching at the Preparatory Institute for Engineering Studies El Manar (“IPEIEM”)-University of Tunis El Manar, and researcher at the Laboratory of Mechanical, Production and Energy (LMPE)-(ENSIT), University of Tunis.

Peter E.G.F. Ibrahim is a Computational Drug Discovery Scientist specialising in the integration of Quantum Mechanics, Artificial Intelligence, and Cheminformatics for early-stage drug design. A licensed pharmacist by background, he holds a Bachelor of Pharmacy from Ain Shams University, Cairo, and two Master's degrees in In-Silico Drug Design from the Universities of Caen Normandie and Paris Cité, France; the latter completed in partnership with the University of Cambridge. He completed his Wellcome Trust-funded PhD at the Drug Discovery Unit, University of Dundee, graduating in 2025. His doctoral research produced multiple published computational methodologies: 1) P-score, a dynamic binding pose scoring function integrating quantum mechanical FMO calculations with supervised molecular dynamics; 2) FMOPhore, a quantum-informed pharmacophore tool for hotspot identification in protein targets; 3) FrAncestor [4], a cheminformatics algorithm for fragment library design based on the Molecular Genealogy Tree framework; and 4) RVGrow [5], a reaction vector-based lead expansion tool for synthetically accessible fragment growing. His work has appeared in Nature Communications and the Journal of Computational Chemistry, with additional preprints. Peter has presented at over 20 international conferences, receiving first-place prizes at EuroQSAR, UKQSAR, the MGMS Young Modellers Forum (Oxford), CCPBioSIM (Edinburgh), and FBLD-2025 (Cambridge). Named Innovator of the Year 2023 by the University of Dundee, he secured over £25,000 in entrepreneurship awards; including the McGhee's and Venture Awards, funding the founding of his startup AQuSTx. He currently serves as Engineer in Residence at Nxera Pharma Co., Ltd., Cambridge, UK.