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FOONG Sew BunView profile

Adjunct Associate Professor

• IT Architecture Patterns
• Service-Oriented Architecture (SOA)
• Software Engineering Methodologies
• +4 more

Professor FOONG Sew Bun is an Adjunct Associate Professor at the Department of Information Systems and Analytics, School of Computing, National University of Singapore. He holds dual roles as Chief Technology Officer (CTO) for IBM Singapore and IBM ASEAN Software Group, and previously served as Managing Director at DBS Bank, Deputy Chief Executive at GovTech, and Global Head of Digital Transformation at Standard Chartered Bank. His career spans over three decades in IT leadership, technical architecture, and national-level advisory roles. Education: BSc and MSc in Computer Science from the University of Texas at Austin. Research interests focus on IT architecture patterns, service-orientation, software reuse, enterprise architecture, and fuzzy logic. He has authored/co-authored multiple IBM Redbooks and peer-reviewed publications in AI and software engineering. Awards include the 2016 IT Professional of the Year (SCS), IBM Distinguished Engineer distinction, and leadership accolades from IBM. He chairs the National Infocomm Competency Framework Steering Committee and has held key roles in Singapore's IT policy-making bodies. Teaching includes courses on digital transformation in finance (FT5002) and AI-driven business innovations (IS4261). His professional activities span technical councils, industry certifications, and academic collaborations.

Shuangquan WangView profile

Assistant Professor

• Mobile & Wearable Computing
• Activity Recognition
• Smart Health
• +3 more

Shuangquan (Peter) Wang is an Assistant Professor of Computer Science at Salisbury University. He holds a PhD in Computer Science from the College of William & Mary (2020) and a PhD in Pattern Recognition and Intelligent Systems from Shanghai Jiao Tong University (2008), along with earlier degrees from Wuhan University of Technology and Wuhan Institute of Technology. His research focuses on mobile/wearable computing, activity recognition, smart health, and machine learning. He has over 10 years of experience in academia and industry, including roles at Philips Research East Asia and Nokia Research Center (Beijing). His work emphasizes wearable sensor-based health monitoring, such as fall detection, mastication analysis, and Parkinson’s disease monitoring. He leads the WISH Research Lab and serves as an Associate Editor for Elsevier's Smart Health Journal. Recent contributions include papers on salinity anomaly detection (2024), LLM-based user requirement analysis (2024), and socially acceptable food recognition (2022). His research trends emphasize interdisciplinary applications of machine learning in healthcare and sensor-driven human activity analysis. Professional service roles include coordinating Salisbury University’s Center for Applied Mathematics and Science (2021–2024) and chairing ACM/IEEE CHASE conferences. He has delivered invited talks on artificial intelligence and its societal impacts to diverse audiences, including the Institute of Retired Persons at Salisbury University. His lab, WISH Research Lab, explores innovative solutions in smart health and mobile computing, integrating wearable technologies with machine learning for real-world health applications.

Vinod NamboodiriView profile

Professor

• Assistive Technologies
• Applied Computer Vision
• Smart Health
• +5 more

Prof. Vinod Namboodiri is the Forlenza Chair in Health Innovation and Technology at Lehigh University's Department of Computer Science & Engineering and College of Health. He leads the Accessibility and Assistive Technologies (ACCESS) Lab, focusing on computing technologies to address health disparities affecting people with disabilities. His NSF-funded research develops navigation solutions for individuals with disabilities, with emphasis on smart communities and built environment accessibility. He holds a Ph.D. from UMass Amherst and previously served as Full Professor/Associate Director at Wichita State University and Adjunct Senior Scientist at Envision Research Institute. His research spans assistive technologies, applied computer vision, and smart health systems. Notable work includes MABLESim (indoor accessibility simulation), NaVIP (visually impaired navigation), and economic analyses of accessibility investments. His publications explore both technical innovations and policy implications of assistive technologies. Prof. Namboodiri has received multiple awards for research, teaching, and innovation. His work bridges computer science with disability studies, emphasizing real-world impact through interdisciplinary collaboration. Current projects address indoor navigation systems, cost-benefit analysis of accessibility infrastructure, and human-agent interaction platforms for disability empowerment.

Soufiene DjahelView profile

Professor

• Connected and Autonomous Vehicles (CAVs)
• Unmanned Aerial Vehicles (UAVs)
• Cyber Security
• +7 more

Soufiene Djahel is a Professor at the Centre for Future Transport and Cities (CFTC) at Coventry University, UK. His research focuses on connected and autonomous vehicles (CAVs), unmanned aerial vehicles (UAVs), cyber security, and smart cities. He holds a PhD in Secure Routing and Medium Access Protocols from Université des Sciences et Technologies de Lille (2010), and has held academic positions including Senior Lecturer at the University of Huddersfield and Manchester Metropolitan University. His research interests include CAV coordination protocols, cyber-physical security solutions, and intelligent transportation systems. Djahel leads projects such as the £1.2M AeroPharma Logistics initiative and has secured funding from the Newton Fund and JSPS. He is a recipient of the 2021 JSPS Invitational Fellowship and has published extensively in IEEE journals and conferences. Current projects explore UAVs-as-a-service, digital twins for CAVs, and B5G/6G for smart infrastructure. He advises PhD students on topics like AI-based threat mitigation and transport electrification. Djahel also serves as an external examiner and editorial board member for journals like IEEE Transactions on Intelligent Transportation Systems.

Janki BhimaniView profile

Professor

• Emerging Memories
• Flash-Based Storage Systems
• Machine Learning
• +7 more

Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.

Lenka MarekováView profile

Researcher

• Cryptography
• Information Security
• Secure Messaging Protocols
• +3 more

Dr. Lenka Mareková is a postdoctoral researcher in the Applied Cryptography Group at ETH Zürich. Previously, she completed her PhD in the Information Security Group at Royal Holloway, University of London, supervised by Martin R. Albrecht. Affiliation: ETH Zürich - Department of Computer Science Cryptographic analysis of secure messaging platforms Research focus on end-to-end encryption and real-world security implementations Her research interests span cryptographic protocol analysis, secure communication systems, and privacy-preserving technologies. The 10 most recent publications in her DBLP profile reflect expertise in: Secure messaging protocols (Telegram, Delta Chat) Cloud storage security (MEGA analysis) E-voting systems (Zerovote, E-cclesia) Mobile security frameworks (Android policy enforcement) Mesh network vulnerabilities Current work appears to focus on practical cryptographic implementations and their real-world security implications. Contact via hi@lenka.sh or lenka.marekova@inf.ethz.ch .

• Environmental Engineering
• Waste Management
• Wastewater Treatment
• +5 more

Dr. Pascale Champagne is a Professor in the Department of Civil Engineering at Queen’s University with a cross-appointment to the Department of Chemical Engineering. She serves as Director of the Beaty Water Research Centre (on leave) and holds roles such as Scientific Director at the Institut National de la Recherche Scientifique (INRS). Her research focuses on sustainable bioresource management, integrating environmental engineering, chemical engineering, and green chemistry to develop novel waste management strategies and water treatment solutions. Key areas include wastewater treatment, bioenergy production, and the application of microalgae in environmental remediation. Dr. Champagne holds a PhD (2001) and M.A.Sc (1996) in Environmental Engineering from Carleton University, and a B.Sc.Eng (1993) in Water Resources Engineering from the University of Guelph. She has been recognized with prestigious awards, including the NSERC Brockhouse Canada Prize for Interdisciplinary Research (2021) and the Canada Research Chair in Bioresources Engineering (Tier II, 2012). Her research explores innovative technologies for nutrient recovery from wastewater, CO2-responsive polymers for forward osmosis, and the use of cyanobacteria for mine tailings stabilization. Collaborative projects span biofuel development, biorefinery sustainability, and interdisciplinary partnerships with researchers in biology, chemistry, and engineering. Dr. Champagne’s work emphasizes systems approaches to sustainability, addressing challenges in water resource management, circular economy principles, and the mitigation of environmental contaminants such as pharmaceuticals and heavy metals. She actively contributes to policy through roles at Queen’s Institute for Energy and Environmental Policy and has published extensively on topics ranging from algal bioremediation to polymer-modified nanomaterials.

• AI
• Digitalisation
• Higher education
• +9 more

Jimmy Jaldemark is a Professor at the Department of Education, Mid Sweden University, Sundsvall, Sweden. He serves as Research Leader of HEEL (Higher Education and E-Learning) and Head of Subject for the Discipline of Education. His roles include membership in the Faculty Board of Humanities and representation in the university-wide Education Council. He co-founded GRADE, a national graduate school in digital education, and leads the EARLI Centre for Excellence in AI in Learning and Instruction (AILI). His research focuses on AI, digitalization, lifelong learning, and networked learning. He co-edited *Networked Professional Learning* (2019) and guest-edited special issues in the *British Journal of Educational Technology*. He is an editor for that journal and serves on editorial boards for *Educational Research Review*, *Postdigital Science and Education*, and others. He supervises doctoral students and teaches in Behavioral Science and Education programs. Current projects include HEaD (Higher Education and Digitization) and BLAD (Need-based Learning through Adapted Participation). He collaborates internationally, notably in the AILI network exploring AI's educational impacts. His work spans educational development, organizational learning, and policy frameworks for lifelong learning in the digital era.

Helen LuView profile

Associate Professor

• Applications of AI in Accounting and Finance
• Valuation
• Return Predictability
• +3 more

Helen Lu is an Associate Professor of Accounting and AI at Vlerick Business School and a Senior Lecturer at the University of Auckland (FinTech Lead for the Master's in Business Analytics). She holds a PhD in Finance from Massey University, an MBA from London Business School, a Master's in Economics (Macroeconomics) from Peking University, and a Bachelor's in Computer Science Engineering from Northern Jiaotong University. Her research focuses on integrating AI into accounting and finance, including valuation, return predictability, ESG disclosure, executive succession, and FinTech disruptions. Before academia, Lu worked in investment banking at Credit Suisse and Deutsche Bank, specializing in capital raising and cross-border M&A in Asia-Pacific. Her work bridges academic research and industry practice, particularly in leveraging AI to solve complex financial and accounting challenges. She has published in top journals like the Journal of Accounting Research , Journal of Banking and Finance , and Journal of International Money and Finance . Her recent publications emphasize AI-driven valuation methods, ESG disclosure analysis, and the interplay between executive transitions and financial reporting. Her articles often highlight the application of machine learning to traditional finance problems, such as tail risk assessment and anomaly strategy correlations. Lu’s expertise spans multiple domains, with a focus on transforming data-driven technologies into actionable insights for financial decision-making. She actively contributes to academic discourse on sustainability metrics, particularly green asset valuation and corporate governance during crises.

Georg LangsView profile

Professor

• Machine Learning
• Medical Imaging
• Precision Medicine
• +3 more

Georg Langs is a Full Professor of Machine Learning in Medical Imaging at the Medical University of Vienna and Founding Director of the Computational Imaging Research Lab (CIR). He leads a 25-member interdisciplinary team focusing on machine learning methodologies for medical image analysis. Key roles include Director of the Joint Initiative on AI in Medical Imaging (European Institute of Biomedical Imaging Research) and Scientific Lead of the Respiratory Disease Phenotype Observatory (ZODIAC, UNO/IAEA). He is affiliated with MIT’s CSAIL and serves on advisory boards for global AI initiatives. Education: PhD in Computer Science, Graz University of Technology (2007) M.Sc. in Mathematics, Vienna University of Technology (2003) Research Interests: Machine learning-driven precision imaging, neuroimaging, clinical data phenotyping, and cross-species brain connectivity analysis. His work bridges imaging biomarkers with biological mechanisms and large-scale clinical data integration. Grants & Funding: Over €6M in competitive grants as Principal Investigator in the last two years. Projects include ARTEMIS (fatty liver disease digital twins) and AI-POD (personalized risk scores via imaging). Awards: 2022 IS3R Emerging Leaders Club 2022 National Academy of Medicine Emerging Leader Programme 2018 Advisor, AI Mission Austria 2030 Lab & Teams: CIR Lab focuses on AI-driven medical imaging solutions. Co-founded contextflow GmbH , a MedUni spin-off developing AI software for imaging analysis.

Farzan SasangoharView profile

Associate Professor

• Human Factors in Healthcare
• Telehealth and Mobile Health
• Health Systems Engineering
• +4 more

Dr. Farzan Sasangohar is an Associate Professor in the Department of Industrial & Systems Engineering at Texas A&M University, holding the Mike and Sugar Barnes Faculty Fellowship. He also serves as an Assistant Professor at Houston Methodist Hospital's Center for Outcomes Research and Department of Surgery. His academic roles include affiliations with the Environmental and Occupational Health, Biomedical Engineering, and multiple centers focused on health technologies and systems design. Education: PhD in Industrial Engineering (Human Factors Engineering), University of Toronto (2015) Research Interests: Human factors in healthcare delivery and telehealth systems Wearable technology for stress/health monitoring Crisis management team cognition and decision-making Remote patient monitoring systems Mental health self-management interventions Awards: Jack A. Kraft Innovator Award (HFES, 2023) Dr. Hamed K. Eldin Early Career Award (2022) William C. Howell Young Investigator Award (2021) TEES Young Faculty Fellow (2021) Nominated for Ergonomics Journal Best Paper (2021) Advising & Grants: Mentored over 15 graduate students including Dr. Mahnoosh Sadeghi (PhD 2023) Recipient of NSF PATHS-UP Engineering Research Center funding Active grants in offshore worker fatigue management and telehealth integration Labs/Teams: Director of the Applied Cognitive Ergonomics Lab (ACE-lab) , focusing on human-system interactions in healthcare, aviation, and disaster management. Current projects include: - Wearable stress monitoring systems - Telehealth integration frameworks - Crisis team cognition analysis

Dong-Hyu KimView profile

Senior Lecturer

• Standards and platform competition
• Digital technology policy (AI, IoT, Blockchain)
• Technological roadmapping
• +4 more

Dong-Hyu Kim is a Senior Lecturer in the Department of Management at the University of Glasgow. He holds a PhD in Strategy & Organisation from Yonsei University (South Korea) and has held visiting scholar positions at Hitotsubashi University, KAIST, LSE, Chinese Academy of Sciences, and TU Berlin. His research focuses on standards competition, digital technology policy (AI/IoT/Blockchain), innovation strategies, and East Asian economies. He serves as Associate Editor of Kybernetes and has contributed to over 20 peer-reviewed articles. Education Background: PhD in Strategy & Organisation, Yonsei University (2014) Master’s in Global Economy & Strategy (Highest Honours), Yonsei University (2011) Bachelor of Science in Electronics & Computer Engineering, Hanyang University (2008) Research Interests: Standards governance and platform competition AI/Blockchain policy frameworks Technological catch-up strategies in emerging economies Systems theory applications in innovation studies Key Publications Trends: Recent work explores AI-human interaction dynamics through Luhmann’s systems theory, China’s NEV innovation systems, and EU-US blockchain standardization geopolitics. Earlier research analyzed IoT patent networks, automotive sector competitiveness, and FTA standardization implications. Awards: Global PhD Fellowship (South Korea’s top scholarship, 2014-2016) IEC-IEEE-KATS Academic Challenge 1st Prize ($20,000, 2018) Academic Leadership: Supervised 4 PhD students on topics like platform ecosystems and EV innovation Received £60k+ in research grants including ESRC IAA funding Edited EURAS proceedings on standardization and open source Labs/Teams: Active contributor to Glasgow’s Strategy & Technology Management research cluster, collaborating internationally across Asia-Europe tech policy networks.

Jeremy I. BorjonView profile

Assistant Professor

• Developmental Psychology
• Cognitive Neuroscience
• Sensorimotor Development
• +7 more

Jeremy I. Borjon is an Assistant Professor in the Department of Psychology at the University of Houston, affiliated with the College of Liberal Arts and Social Sciences. He leads the Developing Systems Laboratory, focusing on infant cognitive, sensorimotor, and autonomic development. His research is supported by an NICHD R00 award and integrates multimodal technologies such as eye-tracking, motion capture, and wireless physiological sensors. Education: A.B. in Psychology and Neuroscience, Princeton University Ph.D. in Psychology and Neuroscience, Princeton University Dr. Borjon's research centers on how infants coordinate internal states with emerging cognitive and motor systems during the first two years of life. He investigates how visual, motor, and autonomic processes interact in real time, particularly during naturalistic caregiver interactions. His work emphasizes ecological validity by studying infants in dynamic, real-world contexts. He is particularly interested in sustained attention, language development, and how caregiver behaviors shape infant cognition. His recent publications reflect a strong trend in using dense, naturalistic behavioral sampling to understand developmental processes. The articles highlight interdisciplinary approaches combining developmental psychology, neuroscience, and engineering to study real-time cognitive and physiological dynamics in infants. Topics include physiological synchrony, attention regulation, and sensorimotor integration. Scientific Awards and Honors: R00 Pathway to Independence Award, NICHD K99 Pathway to Independence Award, NICHD NSF Postdoctoral Research Fellowship NICHD T32 Postdoctoral Fellowship 2019 Small Grant for Early Career Scholars, SRCD NSF Graduate Research Fellowship Princeton President’s Fellowship Simons Fellow in Computational Neuroscience Dr. Borjon has been actively involved in mentoring and is currently reviewing graduate applications for the Developmental, Cognitive, & Behavioral Neuroscience Program. His research is supported by federal grants, indicating active funding and research productivity. He previously held postdoctoral fellowships at Indiana University and positions at Yale and Emory. He directs the Developing Systems Laboratory, which employs cutting-edge technology to study infant behavior in naturalistic settings. The lab integrates head-mounted eye-tracking, wireless cardiorespiratory sensors, motion capture, and audiovisual recording to examine how cognitive achievements emerge within the context of a developing body and social environment.

• Multi-access Edge Computing
• High-Performance Networks
• Cognitive IoT Systems
• +7 more

Prof. Ahmed Al-Dubai is a Professor at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University, where he leads the IoT and Networked Systems Research Group and serves as Cybersecurity and Cyber Physical Systems Research Lead. His interdisciplinary research spans Multi-access Edge Computing, High-Performance Networks, Cognitive IoT Systems, VANETs, AI, E-Health, Smart Cities, and Security . He earned his PhD in Computing Science from the University of Glasgow in 2004. His recent publications focus on edge computing architectures, digital twin security, Arabic NLP, wireless energy harvesting, and vehicular communication . His work has been recognized with IEEE Outstanding Service Award, Best Paper Awards at IEEE IUCC 2015 and ACM MoMM 2013 , and fellowships like Senior IEEE Member and British Higher Education Academy Fellow . He supervises 20+ PhD students and has served on 60+ IEEE/ACM conference committees. Current projects include AI-driven fish identification (Innovate UK £265K) , secure IoT protocols (Royal Society £12K) , and COG-MHEAR (EPSRC £3.26M) . He has held visiting professorships at Universite de Valenciennes, University of Sydney, and University of Shenyang.

David OpderbeckView profile

Professor

• Artificial Intelligence Compliance
• Cybersecurity Law
• Data Privacy
• +3 more

David Opderbeck is a Professor of Law and Co-Director of the Gibbons Institute of Law, Science & Technology and Institute for Privacy Protection at Seton Hall University School of Law. His expertise spans artificial intelligence compliance, cybersecurity, data privacy, intellectual property law, and the intersection of law with theology and neuroscience. He teaches courses such as Cybersecurity Law and Policy, AI and the Law, and leads the Data Privacy and Security Compliance Program. Additionally, he holds affiliations with Seton Hall's Department of Religion and is a Faculty Associate at Harvard's Berkman-Klein Center for Internet & Society. Education: JD from Seton Hall University School of Law; LLM from NYU Law School; PhD and MA in Systematic and Philosophical Theology from the University of Nottingham and Fuller Theological Seminary. Research focuses on AI ethics, cybersecurity policy, and theological dimensions of law. Notable works include Law and Theology: Classic Questions and Contemporary Perspectives (2019), The End of the Law? Law, Theology, and Neuroscience (2021), and the upcoming Faithful Exchange: The Economy as It's Meant to Be (2025). His recent articles address AI training data rights, regulatory frameworks for biotech innovation, and encryption policy dilemmas. Service roles include Co-Director of the Gibbons Institute since 2003 and arbitrator for the American Arbitration Association in tech-related disputes. His work bridges legal scholarship with practical policy solutions for emerging technologies.