Jan Franz Nygård is an Associate Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His work bridges Machine Learning with Health Informatics , focusing on cancer registries, AI for medical diagnostics, and data-driven healthcare solutions. UiT The Arctic University of Norway Department of Physics and Technology His research spans Cancer Research , Artificial Intelligence , and Data Science , with recent studies on synthetic data applications, federated learning, and quantum computing in healthcare. Over 15 recent publications highlight his contributions to breast cancer detection, cervical cancer risk prediction, and software testing for medical systems. Key collaborations include partnerships with the Cancer Registry of Norway , international consortia on federated networks, and interdisciplinary teams in Medical Imaging and Bioinformatics . His work addresses challenges in Secure Health Data Analysis and Population Health Management .
Ruichen Cong is currently an Assistant Professor (without tenure) at Waseda University's School of Human Sciences and a Guest Lecturer at Tokyo City University. He earned his Bachelor's, Master's, and Doctorate in Human Sciences from Waseda University (2020, 2022, 2025). Graduate School of Human Sciences, Waseda University (2022-2025) Graduate School of Human Sciences, Waseda University (2020-2022) School of Human Sciences, Waseda University (2016-2020) His research focuses on health informatics, intelligent informatics, and human-computer interaction. He specializes in causal discovery, feature selection, and decentralized systems for health data sharing. His work includes wearable device data analysis, cognitive load measurement, and accessibility technologies. Recent publications highlight his expertise in causal graphs for health risk factors, blockchain-based data sharing, and pandemic-related youth healthcare strategies. He applies machine learning to multidimensional health data and designs systems for people with disabilities. Scientific Awards: Research Encouragement Award, 65th Japanese Society of Social Medicine Annual Meeting (2024) Overseas Travel Expense Support, Japan Science and Technology Foundation (2023) Ogawa Memorial Foundation General Scholarship, Waseda University (2021) Ruichen Cong has received grants for projects including multimodal health data analysis, blockchain-integrated health systems, and barrier-free infrastructure. He actively contributes to academic societies like IEEE and JSAI. He serves as Program Chair for the 2025 International Workshop on LLM and Agentic AI and participates in IEEE and ACM conference committees. His teaching includes Data Science Literacy at Tokyo City University and TA roles for courses like Algorithms, Human-Computer Interaction, and Data Literacy.
Zheng Wen is an Associate Professor (non-tenure-track) at Waseda University, affiliated with the Faculty of Science and Engineering and the Global Center for Science and Engineering. His research spans multiple interdisciplinary domains at the intersection of information technology, security systems, and artificial intelligence applications. Dr. Wen received his Ph.D. from Waseda University between 2013 and 2019, following undergraduate studies at Wuhan University from 2005 to 2009. Dr. Wen's research interests focus on the convergence of emerging technologies for practical applications. His primary areas include Data Science , Internet of Things (IoT) , Blockchain , and Artificial Intelligence , with specific applications in communication networks, disaster management, and content-oriented networking. His work demonstrates a strong emphasis on solving real-world problems through technological innovation, particularly in security-critical domains. Analysis of Dr. Wen's publication record reveals a consistent research trajectory focused on applying machine learning and AI techniques to security and communication challenges. His recent work shows increasing emphasis on blockchain applications for IoT security, GNSS spoofing detection for drone systems, and millimeter-wave imaging for security applications. The interdisciplinary nature of his research connects computer science, electrical engineering, and practical security implementations. Dr. Wen is an active member of professional organizations including IEEE and IEICE, reflecting his engagement with the broader academic community in his fields of expertise. While specific details about his advising and grant activities are not provided in the available information, his extensive publication record across multiple domains suggests active research supervision and likely participation in collaborative research projects. His work on drone security, blockchain applications, and millimeter-wave imaging indicates potential industry partnerships and practical implementations of his research. Dr. Wen's research appears to be conducted within collaborative teams focusing on security systems, wireless communications, and AI applications, with frequent co-authorship patterns suggesting established research groups working on related projects in these domains.
Alexander Tipold serves as an Associate Professor at the Institute for Criminal Law and Criminology at the University of Vienna. Based in Schenkenstraße 4, Room 01.04, he is actively engaged in teaching and research within Austria's premier law faculty. His work focuses on criminal law and criminal procedure, with particular expertise in legislative reforms and their practical implementation. Professor Tipold's research interests span comprehensive areas of criminal law, with special attention to criminal liability of medical professionals, corporate criminal responsibility, and procedural reforms. His publications consistently address current legislative proposals, demonstrating his role as a key commentator on evolving Austrian criminal law. He has made significant contributions to understanding the intersection of criminal law with medical practice, financial regulations, and digital technologies. His recent publications reveal a strong emphasis on contemporary legal challenges including digital crime, money laundering regulations, encrypted communications monitoring, and child protection laws. Tipold frequently analyzes proposed legislation through scholarly articles and official statements, providing critical assessments of draft laws before parliamentary committees. His work demonstrates consistent engagement with both theoretical aspects of criminal law and practical implementation challenges. Professor Tipold is an active educator, teaching courses including Criminal Liability of Medical Professions, Current Criminal Policy, and various exercises in criminal law and procedure for the 2025/26 academic year. He has co-authored influential textbooks such as 'Criminal Law, Special Part I' (6th edition, 2022) and 'Criminal Procedure Law' (16th edition, 2024), which are standard references for law students at the University of Vienna. As part of the Institute for Criminal Law and Criminology, he collaborates with colleagues including Christian Grafl, Peter Lewisch, Susanne Reindl-Krauskopf, and Farsam Salimi. His work extends beyond academia through regular expert statements on legislative proposals, demonstrating his significant influence on Austrian criminal law development.
Professor Hadi Larijani serves as a full Professor in Cyber Security and Networks within the School of Computing, Engineering and Built Environment at Glasgow Caledonian University. His research portfolio spans secure wireless communications, Internet-of-Things security, and neural network applications in networking systems, contributing significantly to UN Sustainable Development Goals through technological innovation. His primary research interests include: Wireless Sensor Network Security Intrusion Detection Systems Long Range Wide Area Networks (LoRaWAN) 6G Communication Security EEG Sensing and Medical Device Validation Digital Twin Frameworks for Logistics Professor Larijani's recent publication trends (2024-2025) show strong focus on practical security implementations for emerging technologies, with significant work in EEG validation systems, logistics optimization, antenna design, and VPN protocol analysis. His research bridges theoretical security frameworks with real-world applications across healthcare, agriculture, and transportation sectors. Notable research activities include: Principal Investigator for Market Assessment of Wearable Smart Wireless EEG Headset Co-Investigator for Secure 6G Enabled Realtime Joint Communication and Sensing Testbed Co-Investigator for Ghanaian tomato irrigation improvement project Co-Principal Investigator for British Academy Researcher at Risk - Ukraine Professor Larijani supervises research students with three documented supervised works, and maintains active collaborations across multiple institutions as evidenced by multi-author publications and international projects. His research group appears focused on practical security implementations for next-generation communication systems and IoT applications.
Associate Professor Biplob Ray serves as Head of Course for Postgraduate ICT Courses at the School of Engineering and Technology, Central Queensland University. With over 15 years of academic experience, he has progressed from ICT Lecturer (2015-2019) to Senior Lecturer (2020-2022) and currently holds the position of Associate Professor (2023-Present). His research is centered at the Centre for Intelligent Systems within the Institute for Future Farming Systems, where he leads multidisciplinary projects with significant industry and government funding. Dr. Ray holds a PhD from Deakin University (2015), Master of Information Technology from University of Ballarat (2008), and Graduate Certificate in Education Tertiary Teaching (2013). His academic journey began with a BSEng in Computer Engineering, followed by professional experience as Analyst Programmer at Telstra and Systems Programmer in the Philippines. His research focuses on the intersection of Artificial Intelligence, Internet of Things, and Cybersecurity, with practical applications spanning smart farming, environmental monitoring, and energy systems. His multidisciplinary approach has secured over $3 million in research funding from Australian federal government and industry sources since 2016, including significant projects like the $1.28 million 'Intelligent, Adaptable, and User-Friendly Weed Management system' and the $513,268 'AI-SSPCAS' project with CSIRO Data61. Dr. Ray's publication record shows consistent high-quality output with approximately 15-20 papers annually, primarily in IEEE and Elsevier journals. His work demonstrates strong translational impact, with multiple projects featured in media outlets including ABC News, Channel 7, and Australian Tree Crop magazine. His research has directly contributed to practical implementations such as smart irrigation systems for Cairns Regional Council and cybersecurity solutions for small businesses. 2025 Australian Awards for University Teaching (AAUT) 2024 Vice-Chancellor's Award of Commendation for Outstanding Researcher (Mid-Career) 2023 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2021 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching (Tier 1) 2019 Vice-Chancellor's Award for Exemplary Practice in Learning and Teaching 2016 'RISING STAR of 2016' award from CQUniversity Dr. Ray currently supervises fifteen research students across PhD and Master's programs, with active grants supporting multiple research positions. His leadership extends to professional service as Vice-Chair of IEEE Victorian Section (2024-2025), former Chair of IEEE Victoria IoT Community, and member of the Engineering Institute of Technology Course Advisory Committee. The Centre for Intelligent Systems fosters interdisciplinary collaboration with regular seminars, industry partnerships, and international research connections, providing students with rich opportunities for professional development.
M. N. Islam is a Professor and Chair of the Computer Security department at Farmingdale State College, State University of New York (SUNY), a position he has held since 2016. His academic career spans multiple institutions including Old Dominion University, University of West Florida, University of South Alabama, and Bangladesh University of Engineering and Technology, where he served in various roles from Lecturer to Associate Professor. He has held significant administrative positions including Program Coordinator for Security Systems & Law Enforcement Technology (2013-2015) and currently serves as Chair of the Computer Security department. Dr. Islam earned his Doctor of Engineering in Electrical and Electronic Engineering from Muroran Institute of Technology, Japan (1999), Master of Science in Engineering from Bangladesh University of Engineering and Technology (1994), and Bachelor of Science in Engineering (with 1st Class Honors) from the same institution (1991). His doctoral research focused on optical communication systems. His research spans multiple interdisciplinary fields with a strong emphasis on applying optical techniques to security problems. Dr. Islam's work in pattern recognition has led to innovations in distortion-invariant target detection using log-polar transformation and joint transform correlation. His security research includes robust information security systems using steganography and optical techniques, with applications in biometrics and data protection. He has also made significant contributions to digital image processing, particularly in super-resolution enhancement techniques for video scenes, and has conducted extensive research on optical communication systems and wireless networks. Dr. Islam has received numerous prestigious awards including Senior Membership in IEEE (2008) and SPIE (2010), inclusion in Marquis Who's Who in America (2010), and multiple Individual Development Award Program (IDAP) awards from the State of New York (2011, 2014). His research has been supported by grants from SUNY High Need Program, NYSUNY 2020 Program, W.E.B. Du Bois Faculty Student Research Experience, Farmingdale Students First Grant, and US Army Medical Research. As an educator and mentor, Dr. Islam has supervised numerous graduate and undergraduate students across multiple institutions. He has developed new curricula including B.S. degrees in Computer Security Technology and Infrastructure Security, and Microcredentials in Computer Security. His teaching portfolio includes over 30 courses ranging from foundational electrical engineering subjects to advanced computer security topics. He directs the Digital Image Processing Research Lab, which focuses on machine vision and security research, developing new facilities and securing research funding for innovative security applications.
