Find Academic Supervisors

A. Lynn AbbottView profile

Professor

• Computer vision
• Pattern recognition
• Artificial intelligence
• +5 more

A. Lynn Abbott is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech , specializing in computer vision, biometrics, and AI-driven sensing systems. His work bridges theoretical and applied domains, including autonomous vehicle perception, physiological signal analysis, and secure healthcare monitoring. Education: Ph.D., University of Illinois, 1990 M.S., Stanford University, 1981 B.S., Rutgers University, 1980 Research Interests focus on computer vision for autonomous systems, biometrics using physiological signals, and deep learning applications in transportation safety and healthcare. Recent projects include neural networks for intersection safety modeling and vision-based cardiovascular signal recovery. Publications highlight advancements in graph neural networks for traffic analysis, spatiotemporal filtering for 3D object detection, and privacy-preserving biometric authentication. His work spans disciplines like transportation safety, biomedical signal processing, and computer architecture. Labs & Teams: Affiliated with the Center for Embedded Systems for Critical Applications , contributing to real-time vision systems and hardware-software co-design for safety-critical domains.

• Developmental Psychology
• Autism Spectrum Disorders
• Technology in Education
• +5 more

Prof Nicola Yuill is a Professor of Developmental Psychology at the University of Sussex's School of Psychology. She leads the Autism Community Research Network Sussex (ACoRNS) and the Children & Technology Lab. Her research focuses on neurodiversity, particularly autism, emphasizing collaborative technologies and stakeholder co-creation of support tools. She explores digital storytelling, social interaction analysis, and inclusive design for neurodivergent populations. Yuill has secured grants from ESRC, NIH, and other bodies to investigate topics like online therapy efficacy, playground design for social play, and technology for communication. She trains Video Interaction Guidance practitioners and serves as a primary school governor. Her work bridges psychology and technology, aiming to empower autistic individuals through innovative methodologies. Key projects include the 'Digital Stories' initiative and evaluations of tablet interfaces for collaborative learning. Yuill's research highlights the importance of stakeholder partnership, with outputs featured on the National College for Research Methods and in guidelines for online therapy. Advising and grants: Yuill supervises UG/PG students and PhD candidates in children's social interaction and technology. She has led over 15 grants, including ESRC-funded studies on autism and EPSRC projects on collaborative learning interfaces. Her labs collaborate across disciplines, integrating informatics, linguistics, and education. Labs/teams: ACoRNS (focusing on autistic communities) and the Children & Technology Lab (designing inclusive tech solutions).

Patrick OlivierView profile

Professor

• Human-Centred Design
• Digital Health
• Collaborative Computing
• +3 more

Patrick Olivier is a Professor at Monash University's Department of Human Centred Computing, with adjunct roles at Monash University Indonesia and Malaysia. He leads the Action Lab, a multidisciplinary research group focusing on human-centred design, digital health, and social innovation. His work bridges academia and real-world impact, particularly in co-design methods and implementation science. He holds a PhD in Language Engineering from the University of Manchester and has extensive industry experience, including founding Lexicle Ltd and Axivity Ltd. Education: PhD in Language Engineering, University of Manchester (1998) MSc in Artificial Intelligence, University of Wales (1991) Postgraduate Diploma in Computing, University of Bradford (1990) BA in Natural Sciences (Physics), University of Cambridge (1989) Research Interests: Co-design methods, digital health, technology-enhanced learning, collaborative and social computing. Recent Work Trends: His articles (2023–2025) emphasize digital health interventions, community engagement in tech design, and the societal impacts of light exposure. Key themes include participatory frameworks for marginalized groups and scalable healthcare systems. Awards: 2022 Dean's Award for Excellence in Research Engagement 2021 Dean’s Community Research Award 2018 ACM Honorable Mention & Sydney Vice Chancellor's Award Advising & Grants: Supervises PhD students in digital health and co-design. Principal Investigator on projects like the EPSRC Centre for Digital Civics and global health initiatives (e.g., Open Nutrition, PIP-Kids). Lab/Teams: Action Lab (Australia, Malaysia, Indonesia) focuses on tech for social innovation, digital health, and civic engagement.

Edoardo SerraView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +5 more

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.

Marianne KampView profile

Associate Professor

• Central Asian History
• Soviet Studies
• Oral History
• +3 more

Marianne Kamp is an Associate Professor at Indiana University Bloomington's Hamilton Lugar School of Global and International Studies, Department of Central Eurasian Studies. She holds adjunct affiliations in History and Russian and East European Studies. Her research focuses on Soviet-era Central Asian societies, oral histories, gender dynamics, and agricultural policies. Kamp earned a PhD in Near Eastern Languages and Civilizations from the University of Chicago (1998) and a BA in Russian Language and Literature from Dartmouth College (1985). Her work explores themes such as collectivization's impact, 1930s famines, women's roles in post-Soviet transitions, and migration patterns. Notable contributions include Collectivization Generation: Oral Histories of a Social Revolution in Uzbekistan (2024) and translations of 19th-century Central Asian ethnographies. Courses taught include Politics of Central Asia, Oral History Methodologies, and Gender in Central Eurasia. Kamp's digital projects include curating historical documents on Uzbek women's movements (1920s) and translating archival materials. Her research bridges Soviet-era social policies with contemporary Central Asian realities, emphasizing grassroots narratives and marginalized voices.

Stephen Lee-UrbanView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Game AI
• +3 more

Stephen Lee-Urban is a Teaching Associate Professor in the Department of Computer Science & Engineering at Lehigh University, affiliated with the Rossin College of Engineering. He holds a Ph.D., M.S., and B.S. in Computer Science and Engineering from Lehigh University, all completed with summa cum laude distinction. His research focuses on fundamental and applied artificial intelligence, machine learning, game AI, cognitive systems, and automated planning. He has contributed to innovative projects such as HuManIC (human-machine interpretive control), CORA (cognitive systems framework), and crowdsourced narrative generation systems. His academic career includes significant work in cybersecurity through intelligent agent modeling of malware, as well as contributions to game AI for strategy games and military training simulations. Notable awards include summa cum laude honors for all three of his university degrees. Lee-Urban's scholarly output spans over 20 publications since 2000, with recent emphasis on AI applications in collaborative storytelling, adaptive planning systems, and human-computer interaction. His research integrates machine learning techniques with sociocultural analysis, crowd-powered content creation, and hierarchical task networks. Current work explores autonomous systems capable of leveraging crowd intelligence for generating interactive narratives and optimizing military training scenarios. While no specific grants or advising roles are listed, his interdisciplinary approach bridges computer science with game design, cybersecurity, and cognitive modeling.

Hemant PurohitView profile

Associate Professor

• Human-Computer Interaction
• Data Mining
• Natural Language Processing
• +5 more

Hemant Purohit is an Associate Professor in the Department of Information Sciences and Technology at George Mason University, and Director of the Humanitarian Informatics Lab. He focuses on developing interactive intelligent systems to support emergency services and humanitarian organizations by analyzing non-traditional data sources like social media, web, and IoT using data mining, NLP, and human-centered computing. His work integrates social-psychological theories to enhance human capabilities in crisis contexts. Purohit holds a PhD in Computer Science and Engineering from Wright State University. His research has been recognized through prestigious awards including the ITU Young Innovator Award (2014), NSF CRII Award (2017), and a best paper award at IEEE/WIC/ACM Web Intelligence (2018). His lab is supported by grants from NSF and international agencies. Key research interests include crisis informatics, social computing, and AI ethics. He has led projects on adversarial scam detection, inclusive cybersecurity, and human-AI teaming for disaster response. Purohit serves on editorial boards for journals like Elsevier's Information Processing & Management and Frontiers in Big Data, and actively contributes to international conferences in his field. His work emphasizes real-world impact, bridging technical innovation with societal needs through collaborations between researchers and practitioners. Current projects address challenges in multilingual data analysis, social media activism, and resilience data repositories.

• Computer Vision
• Machine Learning
• Deep Learning
• +3 more

Prof. Margret Keuper is a Professor in the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics. Her research focuses on advancing machine learning and computer vision techniques, with an emphasis on model fairness, adversarial robustness, and multimodal interactions. She leads interdisciplinary projects exploring topics such as dataset analysis, generative models, and climate action through visual narrative analysis. Research Interests: Her work bridges theoretical foundations and practical applications in domains like adversarial training, image classification robustness, and robotics perception. She explores how vision-language models can be steered to align with human biases and develops methods for data-efficient learning and interpretability. Recent Contributions: Recent work includes FAIR-TAT (model fairness via adversarial training), VSTAR (video synthesis), and TikZero (zero-shot graphics program generation). Her publications in top venues like CVPR, ICCV, and ICLR highlight contributions to both methodological innovation and real-world impact. Collaborations: Works closely with researchers across Max Planck and academic partners, focusing on projects such as sensor layout optimization, climate discourse analysis via social media imagery, and domain-aware foundation model fine-tuning.

• Disability Studies
• Social Justice
• Artificial Intelligence and Disability
• +5 more

Professor Karen Soldatic is a leading academic in the School of Social Sciences at Western Sydney University, specializing in disability studies, social justice, and intersectional analysis. Her work critically examines the intersections of disability, migration, Indigenous rights, and digital technology within Global South contexts. Her research interests focus on Disability Studies , Social Justice , Artificial Intelligence and Disability , Indigenous Rights , and Migration Studies . Through participatory methodologies, she investigates how digital systems, welfare policies, and social structures create barriers for marginalized communities, particularly women with disabilities in low-income countries and Indigenous populations in Australia. Analysis of her recent publications reveals a strong emphasis on technology-facilitated violence against women with disabilities , digital inclusion frameworks , and intersectional resistance strategies . Her work consistently bridges academic theory with community action, focusing on practical interventions for systemic change. Professor Soldatic has secured significant research funding through projects including Walking my path: NSW Indigenous LGBTIQ+ peoples' experiences & aspirations (2023-2027) and Environmental Stewardship Resurgence in Walbanga Land . Her community engagement includes membership in the Australian Sociological Association and Diversty Arts Australia. Her academic contributions include 181 research outputs, 14 major projects, and active supervision of HDR candidates. She holds a PhD from the University of Western Australia and maintains strong connections with disability advocacy organizations including the Australian Federation of Disability Organisations.

• Computer Science
• Machine Learning
• Data Science
• +4 more

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

Shivanjali KhareView profile

Assistant Professor

• Internet of Things (IoT) Data Security
• Hybrid Cryptography
• Wireless Sensor Technologies
• +3 more

Dr. Shivanjali Khare is an Assistant Professor in the Computer Science department at the University of New Haven, affiliated with the Tagliatela College of Engineering. She leads the SARI (Security and ARtificial Intelligence) Research Lab and teaches courses in Artificial Intelligence and Data Mining. Her research focuses on enhancing cybersecurity through hybrid cryptography, IoT data security, machine learning, and wireless sensor technologies to empower user protection in the digital age. Education: Ph.D. and M.S. in Computer Science from the University of Louisiana at Lafayette (2021 and 2016, respectively). Research Interests: IoT Data Security Hybrid Cryptography Systems Wireless Sensor Networks Big Data Sharing Mechanisms AI-Driven Cybersecurity Solutions Publications highlight contributions in IoT security protocols, cryptographic algorithm optimization, and machine learning applications. Notable work includes energy-efficient secure IoT drone systems (ESIoD) and ensemble learning for anomaly detection in smart homes. Recent outreach includes conducting cybersecurity seminars for senior citizens through the New Haven Free Public Library, demonstrating her commitment to societal impact and public education.

Rachel BurkeView profile

Associate Professor

• Applied Linguistics
• TESOL Education
• Cultural and Linguistic Diversity (CALD)
• +4 more

Associate Professor Rachel Burke is an Applied Linguist and TESOL educator in the School of Education at the University of Newcastle, affiliated with the College of Human and Social Futures. Her research focuses on linguistically and culturally diverse educational contexts, critical examination of policy impacts, and praxis-driven approaches to language education. She holds a PhD and has extensive experience in refugee education, forced migration studies, and equity in higher education. Research Interests: Dr. Burke’s work spans sociolinguistics, TESOL curriculum development, and educational equity for marginalized groups. Her recent projects explore the linguistic experiences of refugee/asylum seeker students, ethics in fragile research contexts, and digital empowerment for displaced learners. She employs critical discourse analysis to examine structural inclusion/exclusion mechanisms in education systems. Key Contributions: Her 2023 co-authored book Questioning Care in Higher Education challenges conventional definitions of academic service. Over 26 peer-reviewed articles and 12 book chapters address topics like EMI in Vietnam, mental health in teacher education, and policy barriers for asylum seekers. She has secured $418k in grants including the Scanlon Foundation’s Unity Works initiative supporting refugee employment. Grants & Impact: Leads projects like Refugee Mothers & Children Toolkit (Perpetual Limited, 2021) and co-leads the Co-designing Legal Literacy Resources grant (2024). Her work informs institutional policies on linguistic equity and asylum seeker access to education. Supervision: Supervises 12 current PhD students researching topics from EFL pedagogy in Vietnam to wellbeing in primary education. Her mentorship focuses on ethical research practices in sensitive contexts.

Lizhen QuView profile

Lecturer

• Natural Language Processing (NLP)
• Privacy-Preserving Methods
• Neuro-Symbolic AI
• +4 more

Dr. Lizhen Qu is a Lecturer at Monash University’s Faculty of Information Technology, part of the AIM Lab. His research focuses on robust and privacy-preserving neuro-symbolic methods for NLP and multimodal applications, including causal reasoning in dialogue systems, legal AI, digital health, and social NLP. Previously, he worked at Data61/CSIRO and completed his PhD at Saarland University and the Max-Planck-Institute for Informatics. Education: PhD in Computer Science from Saarland University and Max-Planck-Institute for Informatics. Research interests include integrating deep learning with logical reasoning, causal discovery, and ethical AI applications. He leads projects like TMLGenAI (Trusted Generative AI) and HARNESS (Neuro-Symbolic Systems), addressing model robustness and societal impact. Projects: TMLGenAI (2024–2026), HARNESS (2023–2027), and Accessible Data Exploration for Blind People (2023–2027) Contributions: Developed benchmarks like LazyReview and ACCESS, and co-organized ACL and IJCNLP workshops Research trends span causal discovery in NLP, federated learning for legal systems (e.g., FedLegal), and multimodal security. His work aligns with UN SDGs for innovation and health.

• Human Aspects of Cyber Security
• Cyber Awareness and Hygiene
• Serious Games (Cyber Defence Exercises)
• +5 more

Dr. Kaie Maennel is a Lecturer at the School of Computer and Mathematical Sciences, part of the Faculty of Sciences, Engineering and Technology at the University of Adelaide. Her research focuses on Human Aspects of Cyber Security, including Cyber Awareness and Hygiene, Serious Games (Cyber Defence Exercises), and Learning Analytics in Cyber Training. She also investigates Usable Security, Information Security Culture, and Cybersecurity Risk Management. With over 20 years of corporate experience in Audit and Assurance at Deloitte, she holds professional certifications: ACCA, CIA, and Estonian CPA. Her research interests emphasize bridging cybersecurity education with practical applications, leveraging experiential learning and advanced analytics. She actively participates in high-profile cybersecurity initiatives like the NATO CCDCOE’s Locked Shields workshop, contributing to exercise design and assessment frameworks. Dr. Maennel is eligible to supervise Masters and PhD students as a Co-Supervisor, focusing on cybersecurity education, exercise methodologies, and human-centric security strategies. She prioritizes interdisciplinary approaches and real-world impact through collaborations with industry and academic partners. Her work spans cyber defense exercise ontology development, cultural adaptation of cybersecurity programs, and leveraging behavioral genetics insights. Recent trends in her publications highlight the integration of AI into cybersecurity training and the critical role of human factors in mitigating cyber risks.

Zeki BayramView profile

Professor

• Semantic Web Services
• Mobile Payment Systems
• XML-based Programming
• +4 more

Prof. Dr. Zeki Bayram is a full Professor and current Chairman of the Computer Engineering Department at Eastern Mediterranean University (EMU). He has served as the founding chairman of the Internet Technologies Research Center (2006) and chaired the departmental ABET committee from 2010 to 2023. His academic contributions span semantic web services, mobile payment systems, and XML-based technologies. Founded Cybersoft Bilişim Teknolojileri Limited, a dormant software company in North Cyprus Active in academic service, including thesis supervision and editorial roles Teaches courses on programming languages, automata theory, and software tools Research focuses on semantic web service composition, secure payment schemes, and declarative programming paradigms. His work integrates logic programming, constraint solving, and ontology engineering. Prof. Bayram has published extensively in journals and conferences since the 1990s, with notable contributions to formal methods in service-oriented architectures.