Find Academic Supervisors

Kelvin Kam-fai TSOI蔡錦輝View profile

Associate Professor

• Hypertension and Cardiovascular Diseases
• Cognitive Impairment and Dementia
• Digital Health
• +4 more

Prof. Kelvin Kam-fai TSOI is an Associate Professor at the JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong (CUHK). He holds courtesy appointments at the Stanley Ho Big Data Decision Analytics Research Centre and The Jockey Club Institute of Ageing. A Visiting Associate Professor at Nanyang Technological University’s Lee Kong Chian School of Medicine and Visiting Professor at Shenzhen Institutes of Advanced Technology, he specializes in Digital Health and Epidemiology. Education: BSc in Statistics and PhD in Public Health from CUHK. Postdoctoral training in Gastroenterology and Hepatology at CUHK’s Department of Medicine and Therapeutics. Served as Director of the CUHK JC Bowel Cancer Education Centre and worked in the Hospital Authority on chronic disease management projects. Research interests focus on digital innovations for chronic disease management, including AI in hypertension, cognitive screening technologies, and wearable health devices. His work combines traditional epidemiology with big data analytics, emphasizing interdisciplinary collaboration between medicine and engineering. Key projects include developing a mobile blood pressure management platform via DeepHealth Limited, a social enterprise he founded in 2019. Current research explores seasonal effects on blood pressure variability and AI applications in healthcare. He co-founded the International Society for Digital Health and organizes global symposiums on digital health innovation. Grants & Awards: Supported by CUHK’s Sustainable Knowledge Transfer Fund (SKPF). Awards include IBM Honorarium Award (2020) and President’s Prize for Best Paper Presentation (2017).

Yicheng SongView profile

Assistant Professor

• Personalized Recommender Systems
• Digital Consumer Analytics
• Charity Analytics
• +3 more

Yicheng Song serves as an Assistant Professor in the Department of Information & Decision Sciences at the Carlson School of Management, University of Minnesota. His research develops personalization technologies using machine learning and structural economic models to enhance user satisfaction and business revenue through data-driven solutions. His educational background includes: PhD in Business (2017), Questrom School of Business, Boston University PhD in Computer Science (2012), Institute of Computing Technology, Chinese Academy of Sciences BA in Computer Science (2006), Wuhan University Dr. Song's research specializes in Personalized Recommender Systems, Digital Consumer Analytics, and Charity Analytics. He develops advanced machine learning frameworks to address information overload in digital platforms, with applications spanning e-commerce, customer journey optimization, and nonprofit donation systems. His work uniquely bridges technical innovation in AI with practical business impact through structural economic modeling. Analysis of his publication trajectory (2011-2024) reveals consistent focus on personalization algorithms, evolving from multimedia geolocation to reinforcement learning for customer interventions. Recent work emphasizes explainable AI in donor matching systems and multi-category utility modeling, demonstrating increasing sophistication in handling complex consumer behavior data across digital and charitable contexts. His research excellence has been recognized with prestigious awards: Best Paper Award at INFORMS CIST 2018 Best Paper Award at WITS 2014 Runner-up for Best Paper Award at INFORMS CIST 2023 While specific grant details and student advising records aren't publicly listed, his publications indicate active collaboration with researchers in marketing, operations, and computer science. The absence of laboratory information suggests integration within the Carlson School's existing research infrastructure rather than standalone facilities.

• Sensor Networks
• Pervasive Computing
• Middleware
• +5 more

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

Aftab AhmadView profile

Professor

• Machine Learning
• Cyber Security
• Public Health Prediction
• +5 more

Aftab Ahmad is a Professor in the Department of Computer Science at the City University of New York (CUNY), specializing in cybersecurity and machine learning applications. He holds a Doctor of Science from George Washington University. His research focuses on developing machine learning algorithms for cyber threat intelligence (CTI) and public health prediction, along with designing secure generative deep learning models resistant to reverse-engineering. Key research areas include: Cybersecurity frameworks and privacy-preserving architectures Generative adversarial networks (GANs) with embedded security features Biomedical signal analysis and human body channel modeling Secure wireless protocols for critical infrastructure His publication trends emphasize: Privacy metrics and data protection mechanisms Smart grid and IoT security Neuroscience-inspired machine learning models Wireless network vulnerability assessments No scientific awards or grants were explicitly mentioned in the provided texts. He teaches advanced courses in computer security and network forensics at undergraduate and graduate levels. No advising relationships or lab affiliations were detailed in the available information.

• Urban Planning
• Transportation Engineering
• Urban Informatics
• +4 more

Professor Piyushimita (Vonu) Thakuriah is a Visiting Professor of Urban Studies in the School of Social & Political Sciences and Ch2m Chair of Transport at the University of Glasgow. She directs the UK ESRC Urban Big Data Centre (UBDC), a national initiative fostering innovations in sustainable urban development through Big Data. Her roles include affiliated professorship in the School of Engineering and directorship of the UBDC, leading a 7-university consortium. Her research focuses on smart, socially-just urban transport systems, Urban Informatics, and Big Data applications in city planning. Key interests include transport equity, mobility technologies, and the societal impacts of AI/automation. She has authored over 170 publications, including books on transportation technology and urban data analytics. Thakuriah has secured £25M+ in grants as PI, addressing topics like low-wage worker mobility, disability access, and data-driven urban policies. She co-convenes the MSc in Urban Transport and teaches transport planning. Her international collaborations span Malaysia, China, India, and Europe. She advises governments, including testimony to US Congress and UK Parliament. Awards: European Commission Marie Curie Fellowship, Ch2m Chair, NSF Fellowships. Grants: ESRC UBDC funding, NSF, USDOT, and EU grants totaling £63M+ across roles. Labs/Teams: Leads UBDC with initiatives like iMCD (Integrated Multimedia City Data) and SUDS (Spatial Urban Data System).

Yasmeen GeorgeView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Medical Image Analysis
• +6 more

Yasmeen George is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. She holds a PhD in Medical Image Processing from the University of Melbourne (2018) and a Master's in Computer Science from the University of Ain Shams (2013). Her research focuses on AI applications in healthcare, particularly medical image analysis for conditions like cancer, glaucoma, and psoriasis. She co-founded the AIM for Health Lab at Monash IT and is a research affiliate at the Victorian Institute of Forensic Medicine. Education: PhD (Medical Image Processing), University of Melbourne (2018); Master of Computer Science (Medical Image Analytics), University of Ain Shams (2013). Research interests include AI-driven medical image analysis, machine learning, and cross-domain healthcare analytics in radiology, dermatology, and ophthalmology. Her work addresses challenges in automated disease detection, lesion segmentation, and severity assessment across modalities like 2D/3D imaging and text data. Recent articles focus on kidney segmentation, glaucoma detection, federated learning for breast cancer, and AI frameworks for hazardous waste policy. Her research has led to patents with IBM and grants from MRFF and NHMRC. Awards: Recipient of the 2023 Heidelberg Laureate Foundation Alumni Award. Collaborations include projects on clean energy sustainability and hazardous waste management through advanced AI techniques. She actively advises PhD students and engages in interdisciplinary research teams across Monash and industry partners. Labs/Teams: Co-founder of the AIM for Health Lab, affiliated with the Victorian Institute of Forensic Medicine.

Jeremy CramptonView profile

Adjunct Professor

• Geography
• Critical Cartography
• Surveillance Studies
• +5 more

Jeremy Crampton is an Adjunct Professor focusing on the societal and political implications of geolocational technologies. He is a leading scholar in critical cartography, surveillance studies, and spatial big data governance. His work explores how technologies like AI, blockchain, and geoweb platforms shape everyday life and power dynamics. He is a Fellow of the Alan Turing Institute and Royal Geographical Society (UK), and a member of the American Association of Geographers. His research spans over three decades, including a seminal 2010 monograph on critical cartography and ongoing projects on counter-GeoAI. He is currently writing The Map and the Spyglass: The New Geographical Analytics of Everyday Life , to be published by Verso. Crampton teaches GEOG 3146 - Political Geography , addressing how spatial technologies influence political structures and governance. Key themes in his work include algorithmic decision-making, geospatial surveillance ethics, and the interplay between technology and sovereignty. His recent articles analyze smart cities, festival security, and the societal impacts of locational data. He critiques techno-utopian narratives, advocating for equitable and transparent geospatial systems. Scientific awards include recognition for his contributions to critical GIS theory and digital geography. His interdisciplinary approach bridges human geography, technology studies, and policy analysis, influencing debates on data governance and spatial justice.

• Indoor Localization
• Wireless Networks
• Pervasive Computing
• +11 more

Shueng-Han Gary Chan is a faculty member in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST), within the College of Engineering. He is actively engaged in research and mentoring, with a strong publication record in mobile computing, indoor localization, and AI for pervasive systems. His research focuses on indoor localization using Wi-Fi, geomagnetic, and inertial signals , sensor fusion , crowd counting with deep learning , domain adaptation , and efficient mobile AI systems . His work bridges theoretical innovation with real-world deployment, as seen in systems for missing person search and indoor navigation. Recent publications (2023–2025) show a consistent trend toward self-supervised and domain-agnostic learning , efficient model design for mobile devices , and robust signal fusion in noisy environments . His team leverages transformer architectures, graph neural networks, and novel optimization techniques to solve real-world challenges in urban and indoor spaces. He has advised numerous graduate students, including Jierun Chen, Zhuoxuan Peng, and Tianlang He, who have contributed as first authors to joint publications. His collaborations span institutions and include work on large-scale system deployments and mobile AI. He leads a research group focused on mobile and pervasive computing , with projects involving IoT-based contact tracing, indoor navigation (e.g., DeepNavi, SiFu), and real-time localization systems. The team emphasizes practical deployment and system robustness.

Shinyoung ChoView profile

Assistant Professor

• network security
• privacy
• network measurements
• +5 more

Shinyoung Cho is an Assistant Professor of Computer Science at Smith College. Her contact information includes email scho@smith.edu and phone number 413-585-3847, with an office located in Ford Hall 356. Dr. Cho's research focuses on network security, privacy, and network measurements. She utilizes various algorithms and global continuous in-depth measurements to detect and mitigate malicious actions performed by network-level entities such as autonomous systems. Her work specifically targets attacks on accessibility, security, and anonymity. The 'detecting' aspect of her research investigates when network protocols are repurposed for Internet censorship and when network traffic hijacking occurs. The 'mitigating' portion focuses on threats that prey on the vulnerability of the Tor network. Dr. Cho's publication record demonstrates expertise in Internet censorship measurement, BGP hijacking classification, network proxy geolocation, and censorship localization techniques. Her research combines network measurement techniques with security analysis to address critical internet infrastructure vulnerabilities, with publications spanning from 2017 to 2020 in top security and networking venues. Her educational background includes: Ph.D. from Stony Brook University M.Sc. from Sungkyunkwan University B.Eng. from Baekseok University During her doctoral studies, she gained valuable research experience as a visiting researcher at the University of Massachusetts, Amherst; IIJ research lab in Japan; and CAIDA at the University of California San Diego.

Kasper ThorupView profile

Professor

• Movement Ecology
• Bird Migration
• Behavioral Ecology
• +7 more

Kasper Thorup is a Professor in Movement Ecology at the Globe Institute , University of Copenhagen , and serves as Section Head of the Center for Macroecology, Evolution and Climate . He is also an Affiliated Scientist at the Max Planck Institute of Animal Behavior in Radolfzell, Germany, and holds advisory roles at the Copenhagen Bird Ringing Centre and the Natural History Museum of Denmark . Education PhD in Zoology , University of Copenhagen (2004) MSc in Biology , University of Copenhagen (2000) Research Interests Thorup’s research lies at the intersection of movement ecology , behavioral ecology , ornithology , and conservation . His work focuses on the mechanisms and drivers of bird migration , using advanced tracking technologies such as satellite telemetry, geolocators, and radio transmitters. His lab investigates orientation systems , climate change impacts , and conservation strategies for migratory birds across continents. His team also explores animal navigation , disease spread via migratory birds , and habitat use across breeding and wintering grounds. Fieldwork has taken him to remote locations including Kamchatka, Angola, Svalbard, and the Ural Mountains. Scientific Awards Corresponding Member , Deutsche Ornithologen-Gesellschaft Sapere Aude – Research Leader , Danish Fund for Independent Research Fellow , International Ornithologist's Union Post-doc Scholarship , Danish Fund for Independent Research DTUsat Payload Competition , DTU Supervision and Teaching Thorup has supervised 6 postdocs , 9 PhD students , and 19 Master’s students since 2005. He teaches Danish vertebrates (BSc) and Ornithology (MSc) at the University of Copenhagen, and welcomes theoretical and field-based student projects in bird migration, orientation, and conservation. Labs and Teams He leads the Bird Migration Lab and is head of the Thorup Group within the Section for Biodiversity at the Globe Institute. His team is closely affiliated with the Copenhagen Bird Ringing Centre and collaborates globally with institutions like the Max Planck Institute and Lund University.

Catuscia PalamidessiView profile

Research Professor

• Privacy
• Data Security
• Information Flow
• +5 more

Catuscia Palamidessi is a Research Professor and head of the Comete project team (Concurrence, Mobilité et Transactions) at the Inria Saclay - Île-de-France research center. Her work focuses on privacy, security, and information flow on social networks, with particular emphasis on protecting sensitive data while preserving utility. Her primary research interests include differential privacy, location data protection, and the use of machine learning techniques for privacy preservation. She has pioneered work on Local Differential Privacy (LDP) and its integration with generative adversarial networks to balance privacy protection with data utility. Her research addresses the critical challenge of securing personal data without destroying its usefulness for services and statistical analysis. Her most notable achievement is receiving the ERC Advanced Grant in 2018 for her HYPATIA project (Privacy and Utility Allied), which seeks to optimize the security and utility of personal digital data. This €2.2 million grant has enabled her to expand her research team and develop practical privacy solutions. ERC Advanced Grant 2018 for HYPATIA project As leader of the Comete team, she oversees research that has led to practical applications like Location Guard, a browser extension that adds controlled noise to location data to protect user privacy while maintaining service functionality. Her work has established important partnerships with industry leaders like Renault and numerous academic collaborations worldwide.

• GNSS Positioning Error Estimation
• Machine Learning Interpretability
• Algorithmic Fairness
• +4 more

Alejandro Kuratomi is an Assistant Professor in Data Science at the Department of Computer and Systems Sciences (DSV), Faculty of Social Sciences, Stockholm University. His academic journey includes a Ph.D. in Machine Learning (2024), M.Sc. in Engineering Design: Mechatronics (2019), and dual B.Sc. degrees in Industrial and Mechanical Engineering (2014). Ph.D., Machine Learning – DSV, Stockholm University M.Sc., Mechatronics – KTH Royal Institute of Technology B.Sc., Industrial Engineering – Universidad de Los Andes B.Sc., Mechanical Engineering – Universidad de Los Andes Kuratomi’s research focuses on Machine Learning Interpretability , Algorithmic Fairness , and Multivariate Time Series Classification , with applications in GNSS error estimation and healthcare decision-making. He develops interpretable models like CRITS and ORANGE to address technical and ethical challenges in AI. His recent work explores Transformer/LLM interpretability , mechanistic explanations , and integer-justified counterfactuals . While no awards or students are mentioned, his publications highlight interdisciplinary efforts combining computer science, ethics, and engineering.

• Electrical Engineering
• Computer Science
• Information Technology
• +3 more

Bernhard Rinner is a Professor at the Institute of Networked and Embedded Systems within the Faculty of Technical Sciences at Alpen-Adria-Universität Klagenfurt. He is a member of the university Senate and serves as Prodekan (Deputy Dean). His research spans robotics, embedded systems, sensor networks, and privacy-aware computing , with a focus on resource-efficient designs for drones, autonomous systems, and IoT applications. Email: Bernhard.Rinner@aau.at Phone: +43 463 2700 3671 Office: B02.1.62, Lakesidepark Haus B02, Klagenfurt, Austria Research Interests include: Self-aware autonomous systems for adaptive mission planning and anomaly detection Resource-efficient embedded AI for drones and camera networks Secure IoT applications with privacy-preserving visual data processing Multi-agent coordination in confined environments and 3D navigation Dynamic sensor calibration for low-cost wireless networks Publications reflect trends in drone networks, self-aware computing, and privacy-aware sensing , emphasizing lightweight architectures, distributed coordination, and energy-efficient designs. Many recent works focus on binary neural networks, decentralized re-identification, and adaptive sensor reconfiguration .

Wayne FULLERView profile

Associate Professor

• Marine Ecology
• Conservation Biology
• Ecotoxicology
• +3 more

Assoc. Prof. Dr. Wayne FULLER is a faculty member at Near East University's Faculty of Veterinary Medicine, Department of Genetics. He earned his BSc in Zoology from the University of Oxford before pursuing doctoral research at Exeter Universities' Centre for Ecology and Conservation in North Cyprus. Specializing in Mediterranean marine turtle conservation and ecology, his work spans climate change impacts, plastic pollution, and stable isotope applications. Education: BSc in Zoology, PhD in Marine Ecology Current Roles: Head of Department of Genetics, Near East University Key Projects: IUCN Marine Turtle Specialist Group (2017-present), EU Nature 2000 implementation in Cyprus (2008) His recent research explores phenological shifts in sea turtle offspring under climate change, macroplastic ingestion patterns, and avian conservation in Mediterranean forests. Publications emphasize ecological monitoring, habitat connectivity, and conservation technology applications like GPS and stable isotopes. Scientific recognition includes: Member of IUCN Marine Turtle Specialist Group

• Cybersecurity
• Wireless Communication
• Network Security
• +7 more

Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.