Niall Winters is a Visiting Fellow at the University of Oxford's Department of Education, previously serving as Professor of Education and Technology and an Official Fellow. His research focuses on socially-just technology innovations, particularly in healthcare and education, supported by over €7 million in funding. He holds a PhD in Computer Science from Trinity College Dublin. Key roles include co-convenor of the Critical Digital Education Research Group, director of the MSc Education (Digital and Social Change), and mentor to Kellogg students. Prior to Oxford, he was a Reader in Learning Technologies at UCL Institute of Education and Deputy Head of the Department of Culture, Communication and Media. His research integrates global health challenges with digital solutions, emphasizing community health workers' training in low-resource settings. Collaborations include the Global Centre on Healthcare and Urbanisation at Kellogg and projects with UNESCO, WHO, and the NHS. He has held fellowships at institutions like Sciences Po and MIT Media Lab Europe. Publications span mobile health technologies, gamification in medical education, and policy frameworks for digital equity. His work bridges theory and practice, advocating for ethical technology design that addresses systemic inequalities in education and healthcare systems.
Dr. Peter Stasinopoulos is a Senior Lecturer in the School of Engineering at RMIT University, Australia. His research focuses on Intelligent Transport Systems, Cybersecurity of Automated Vehicles, and Sustainable Supply Chain Management. He is a member of RMIT's Intelligent Transport Systems research group and a research fellow at The Natural Edge Project. Research Interests: Civil Engineering, Materials Engineering, Automotive Engineering, Transportation Logistics, and System Dynamics. His work spans cybersecurity challenges in automated vehicles, cold supply chain optimization for food waste reduction, and policy frameworks for emerging technologies. Recent Articles: Dr. Stasinopoulos's recent publications emphasize cybersecurity of connected vehicles, automated vehicle adoption models, and biomass supply chain resilience. Key themes include cross-country cyber-risk analysis, public acceptance of autonomous systems, and metaheuristic optimization techniques. Advising & Grants: Supervises research projects on automated vehicles, food waste reduction, and sustainable logistics. Collaborates with industry partners on cybersecurity readiness and cold chain logistics innovations. Laboratories & Teams: Active in RMIT's Intelligent Transport Systems group, contributing to interdisciplinary projects on urban mobility and frontier technologies in humanitarian contexts.
Dongming Xu is an Associate Professor in Business Information Systems at the University of Queensland Business School. She holds a PhD from the City University of Hong Kong in Information Systems and has established herself as a prominent researcher in the field of information systems with over 100 publications in top-tier journals and conference proceedings. Her educational background includes a PhD from City University of Hong Kong in Information Systems, though specific details about earlier degrees are not provided in the available text. Dr. Xu's research focuses on the confluence of information technology use and innovation, with particular emphasis on IT entrepreneurship, social media applications in business contexts, and business intelligence systems. Her work explores how information systems influence society and business performance, with applications spanning disaster management, eFinance, eHealth, and knowledge management. She combines theoretical model building with laboratory and field experiments, often developing prototype systems to validate her research. Her publication record demonstrates consistent high-quality output across multiple domains of information systems research, with recent work emphasizing digital disruption, platform ecosystems, social media in disasters, healthcare technology, and micro-learning applications. Her research shows a clear trajectory from foundational work on intelligent agents and decision support systems toward contemporary topics in digital transformation and platform-based innovation. Associate Editor, Information & Management Associate Editor, Journal of Electronic Commerce Research Associate Editor, Australasian Journal of Information Systems Dr. Xu has supervised numerous PhD students to completion, with research topics spanning digital disruption, IT startup development, social media in disasters, conceptual modeling, and environmental management. She has received multiple research grants, including current funding for 'Empowering Australia's Visual Arts via Creative Blockchain Opportunities' (2023-2026) and past projects on 'Smart micro learning with open education resources' (2018-2022). Her research has been supported by various agencies including the Hong Kong Government Research Grant Council, The National Natural Science Foundation of China, The University of Queensland, and City University of Hong Kong. She leads research in several key areas including IT entrepreneurship, business intelligence systems, and social media applications across multiple domains. Her work often involves developing innovative systems such as web-service-agent-based family wealth management systems, decision support systems for securities exception management, and knowledge management systems for disaster management.
Heidi Vandebosch is a Professor at the University of Antwerp's Department of Communication Studies. A prominent figure in cyberbullying research since 2005, she combines academic rigor with practical applications through her role as senior member of the MIOS research group and leadership in international COST actions. PhD in Social Sciences from KU Leuven (1999) Postdoctoral grants from FWO and KU Leuven research council Academic career progression from assistant professor (2004) to full professor (since 2016) Research Focus : Cyberbullying prevalence, impact, and interventions; digital health games; media psychology; food literacy promotion through social media. Her work bridges theoretical research with practical implementation, including development of the Friendly ATTAC digital game and Cyberscan anti-bullying tools. Key Projects : Friendly ATTAC (€1.04M IWT SBO grant) Cyber-shoc interdisciplinary research BOF Concerted Research Project on adaptive health interventions Awards & Grants : Multiple prestigious FWO grants, IWT SBO funding, and BOF research support. She chairs expert panels and contributes to national educational policy through the Flemish Educational Board (VLOR). Teaching : Offers courses at all academic levels including Introduction to Communication Studies (1BA), Media Audiences & Effects (2BA), and Health Communication (MA). International Engagement : Active in COST actions, editorial roles at Communications. The European Journal of Communication Research , and advisory positions for media literacy initiatives.
Professor Eric Morgan at Queen's University Belfast leads parasitology research in the School of Biological Sciences , focusing on climate-driven epidemiology of parasitic infections in animals. His work integrates predictive modeling, parasite transmission dynamics at the wild-domestic interface, and sustainable livestock health solutions. Veterinary parasitology and climate change impact Anthelmintic resistance mitigation strategies AI-enhanced diagnostic systems for animal health Current research students include Anthony George, who investigates Combining alternative approaches for helminth control in grazing livestock . Public engagement initiatives like the BUG Consortium and Poo Patrol translate findings into practical parasite management. His recent publications in 2025 address topics like flood reactors, zoonotic toxocariasis, and precision agriculture tools for parasite risk assessment.
Habeeb Olufowobi is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), where he leads the Cyber-Physical System Security Lab. He holds a PhD in Computer Science from Howard University (2019) and previously served as a Lecturer at Howard before joining UTA in 2020. His research is centered on the security and trustworthiness of embedded and distributed systems, particularly in the domains of autonomous vehicles, IoT, and healthcare AI. He investigates cybersecurity challenges at the hardware-software interface in real-time systems and develops AI/ML models that are transparent, explainable, and equitable. His interdisciplinary work integrates principles from cybersecurity, real-time systems, and machine learning. The recent publications reflect a strong trend in securing cyber-physical systems using advanced AI techniques, with emphasis on intrusion detection, secure communication (e.g., named data networking), and robustness of autonomous systems. His work frequently appears in top-tier venues such as IEEE Transactions, VehicleSec, and ICMLA. Project Management Professional (PMP), PMI (2012–Present) Member, Institute of Electrical and Electronics Engineers (IEEE) (2020–Present) Habeeb has secured significant research funding, including an NIH grant on ethical AI for Chagas disease prediction and an AIM-AHEAD grant focused on health equity. He mentors several graduate students, including Paul Agbaje and Afia Anjum, who have received awards and internships at prestigious institutions like Los Alamos National Laboratory. He teaches courses in cloud computing, embedded systems, and information security, and serves as a faculty advisor for the National Society of Black Engineers (NSBE) at UTA. His lab, the Cyber-Physical System Security Lab, focuses on developing scalable and reliable security solutions for critical infrastructure, with growing emphasis on healthcare applications and fairness in algorithmic decision-making.
Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .
Guofeng Cao is an Associate Professor in the Department of Geography at the University of Colorado . His research integrates GIScience , GeoAI , geostatistics , and remote sensing to develop advanced methodologies for analyzing heterogeneous geospatial data and modeling complex spatiotemporal patterns. Focus areas: Uncertainty-aware geographic knowledge discovery, land cover/land use dynamics, spatiotemporal bias analysis, geospatial cyberinfrastructure development Applications: Natural hazards, environmental science, public health, global change studies Recent publications emphasize generative adversarial networks for climate downscaling, neural processes for uncertainty modeling, and fusion transformers for disaster assessment. His work combines deep learning with Bayesian inference to address scalability challenges in geospatial data processing. Scientific Recognition : NASA and USDA grants for spatiotemporal research Advising : Mentoring graduate students in geospatial data science Laboratory : Leads the STAR lab (Spatiotemporal Pattern Analysis & Research)
Shima Nazari is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. Her research focuses on dynamics and control with applications to transportation systems, energy systems, and electrified/automated vehicles. She leads the CORE Lab, exploring advancements in hybrid powertrains, autonomous vehicle control, and energy-efficient systems. Education: Ph.D., Mechanical Engineering, University of Michigan (2019) M.S., Electrical Engineering, University of Michigan (2016) M.S., Mechanical Engineering, Sharif University of Technology, Iran (2012) B.S., Mechanical Engineering, Sharif University of Technology, Iran (2009) Her research interests span dynamics and control theory applied to hybrid electric vehicles, powertrain optimization, and autonomous systems. She has contributed to advancements in energy-efficient vehicle designs, regenerative braking, and control strategies for electrified powertrains. Her work often bridges mechanical and electrical engineering disciplines to address real-world challenges in transportation and energy. Recent research trends in her articles emphasize data-driven control methods, hybridization strategies for autonomous systems, and thermal management of energy storage solutions. These studies reflect her commitment to interdisciplinary innovation. Although no scientific awards are explicitly mentioned, her contributions to the field are evident through her active research and publications. She advises students in her lab and collaborates on grants focused on sustainable mobility solutions. Dr. Nazari is affiliated with the UC Davis College of Engineering and actively contributes to graduate programs in Dynamics, Controls, Vehicles, and Robotics. The CORE Lab serves as a hub for experimental and computational research in her areas of expertise.
Yen-Chi Chen is an Associate Professor in the Department of Statistics at the University of Washington. He also holds positions as a Data Science Fellow at the UW eScience Institute and as a co-investigator and statistician at the National Alzheimer's Coordinating Center. His academic career spans multiple interdisciplinary fields including statistics, data science, and astrostatistics. Chen's educational background includes a Ph.D. from Carnegie Mellon University, where he received prestigious awards including the Umesh K. Gavasakar Thesis Award (2017) and the William S. Dietrich II Presidential Ph.D. Fellowship Award (2015). His research focuses on nonparametric statistics, topological data analysis, missing data methodologies, cluster analysis, manifold learning, and applications in large-scale structure analysis and astrostatistics. Chen has made significant contributions to the development of statistical methods for analyzing cosmic web structures, GPS data, and causal inference with continuous treatments. His work bridges theoretical statistics with practical applications in astronomy, neuroscience, and public health. Analysis of his recent publications reveals a strong emphasis on developing novel statistical frameworks for complex data structures, particularly focusing on density-based methods, manifold learning, and approaches that address challenges in missing data and causal inference without standard assumptions. ASA Noether Early Career Scholar Award, American Statistical Association (2022) CAREER Award, National Science Foundation (2022-2027) Umesh K. Gavasakar Thesis Award, Carnegie Mellon University (2017) William S. Dietrich II Presidential Ph.D. Fellowship Award, Carnegie Mellon University (2015) Chen has advised numerous graduate students across multiple publications, with a focus on developing new statistical methodologies. His research has been supported by major funding agencies including the National Science Foundation and the National Institutes of Health. He is actively involved in several research groups including the UW Geometric Data Analysis Group, the UW Center for Statistics and the Social Sciences, and the National Alzheimer's Coordinating Center.
Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .
Dr. Leah Perlmutter is a tenure-track Assistant Professor in the Computer Science Department at Grinnell College, focusing on inclusive pedagogy and student belonging in post-secondary CS education. She earned her Ph.D. (2023) and M.S. (2020) in Computer Science and Engineering from the University of Washington, and her B.A. (2012) in Computer Science and Engineering from Colby College. Her research examines how course policies and teaching assistant interactions impact student inclusion in computer science, with a particular emphasis on resubmission opportunities and justice-centered approaches to teaching. Her work also includes human-robot interaction projects like GestureCalc (an eyes-free calculator for touchscreens) and EMAR (a social robot for emotional clarity support). Recent publications explore themes such as algorithmic ethics in education, student belonging in CS, and accessible interface design. She received the NSF Graduate Research Fellowship (2017) and the Outstanding Female Engineer Award (2018). At Grinnell, she teaches courses like Functional Problem Solving, Software Design, and Algorithms, Ethics, and Society.
Hassan Khan is an Associate Professor at the University of Guelph's School of Computer Science, with research spanning security, systems, and human-computer interaction (HCI). He is a member of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI). Research Interests: His work focuses on improving AI-driven mobile security systems through human-in-the-loop evaluations, addressing vulnerabilities in continuous authentication, shoulder surfing, and privacy in enterprise/repair settings. He explores how users interact with security mechanisms and designs interfaces to enhance usability. Scientific Recognition: He has received the NSERC Early Career Researcher Award and a NSERC Discovery Grant, with media coverage in outlets like Time Magazine, The Globe and Mail, and New Scientist. Teaching: Khan teaches courses such as Computer Security Foundations and Advanced Penetration Testing, emphasizing practical cybersecurity and AI systems architecture.
Steven Farber is an Associate Professor in the Department of Human Geography at the University of Toronto . His research focuses on transport geography , spatial analysis , accessibility , and public transportation equity , with a strong emphasis on Geographic Information Science (GIS) and social sustainability . Current research: Distributional aspects of transit accessibility, personal mobility, activity participation Teaching: Undergraduate courses on multivariate analysis and transportation geography, graduate seminars on transportation and urban form Key research trends include: Transport equity and social inclusion Time-geography in urban mobility Spatiotemporal accessibility modeling Behavioral impacts of transport infrastructure GIS-based spatial econometric methods Grants include multiple SSHRC Insight awards, Ontario Ministry of Research funding, and municipal partnerships for transport equity studies.
Xiaowen Zhang is a Professor of Computer Science at the College of Staten Island (CSI), City University of New York (CUNY), and a Doctoral Faculty Member at the CUNY Graduate Center. His academic work bridges theoretical and applied research in cybersecurity, information systems, and network technologies. Dr. Zhang holds a Ph.D. in Computer Science from the CUNY Graduate Center (2007) and a Ph.D. in Electrical Engineering from Northern Jiaotong University (1999), along with an M.A. from CUNY Queens College, an M.S. from Northern Jiaotong University, and a B.S. from Shanxi University. His research focuses on Cryptography, Information Security, Cybersecurity, Secure Biometrics, RFID Security & Privacy, Information Retrieval, and Wireless Sensor Networks . He explores both foundational cryptographic methods—such as secret sharing schemes and hash functions—and their practical implementations in secure systems, including RFID authentication protocols and data visualization platforms for sensor networks. The analysis of his recent publications reveals a consistent focus on security mechanisms in distributed and wireless environments . His work frequently combines cryptographic theory with system-level implementations, particularly in RFID and sensor networks. There is a strong trend toward privacy-preserving protocols, efficient data retrieval, and secure information sharing , often leveraging mathematical structures like Latin squares and Bloom filters. Dr. Zhang has been actively involved in mentoring students, as evidenced by numerous co-authored publications with graduate and undergraduate researchers. His contributions span journals such as Security and Communication Networks , Journal of Applied Security Research , and International Journal of Security and Networks , as well as major conferences including IEEE LISAT, ACM CODASPY, and IEEE Sarnoff Symposium.
