Find Academic Supervisors

Jie GaoView profile

Assistant Professor

• Machine Learning for Communications and Networking
• Internet of Things (IoT) and Industrial IoT
• Cloud and Multi-Access Edge Computing
• +7 more

Dr. Jie Gao is an Assistant Professor at the School of Information Technology , Carleton University, with cross-appointments at Dalhousie University (Adjunct Faculty, 2024) and Carleton University (2025). He holds a Ph.D. in Electrical and Computer Engineering from the University of Alberta (2014) and has held postdoctoral and research associate positions at Ryerson University (2017-2019), University of Waterloo (2019-2020), and Marquette University (2020-2022). His research focuses on machine learning for communications/networking , 6G wireless networks , cloud/multi-access edge computing , IoT/industrial IoT solutions , and network virtualization/digital twins . Research Leadership: Co-investigator on projects related to AI-assisted network slicing, digital twin-driven resource allocation, and integrated satellite-terrestrial networks Led work on energy-efficient UAV-assisted edge computing (IEEE Best Land Transportation Paper Award 2024) Professional Roles: Senior Member, IEEE Lead Associate Editor, IEEE Access Vehicular Technology Society Section (2020-present) Associate Editor, Springer Peer-to-Peer Networking and Applications (2020-present) IEEE Vehicular Technology Society Young Professional Ambassador (2024) Notable Contributions: Authored/co-authored books on Intelligent Computing and Communication for the Internet of Vehicles (Springer, 2023) and Connectivity and Edge Computing in IoT (Springer, 2021) Holds patents on medium access control methods (US Patents 2022, 2024) Received multiple IEEE service awards (2018-2024)

Patrick PraxView profile

Assistant Professor

• Game Design
• Sustainability
• Media Literacy
• +11 more

Patrick Prax is an Assistant Professor at the Department of Game Design, Uppsala University, specializing in participatory media and critical game studies. His research explores co-creation in digital games as alternative media, focusing on systemic sustainability, cultural heritage preservation, and social justice frameworks within gaming ecosystems. PhD in Media Studies (Uppsala University, 2016) Co-chair, Game Studies Working Group at NordMedia Board member, Cultural Heritage Incubator (Swedish National Heritage Board) Key research areas include: Political economy critiques through game mechanisms (e.g., loot boxes) Reflexive approaches to digital game preservation Esports culture and leadership dynamics Media literacy and civic engagement through gaming Recent publications examine sustainability integration in game education, systemic issues in game monetization, and community-driven adaptations of Warhammer 40k. He actively engages with public discourse through TEDx talks, national media appearances (TV4, UNT24), and policy advisory roles.

Arianna BisazzaView profile

Associate Professor

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +7 more

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

• Wireless Communication
• Machine Learning
• Signal Processing
• +4 more

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Georgios LappasView profile

Professor

• Social Informatics
• E-Government
• E-Democracy
• +9 more

Georgios Lappas is a Professor of Information Technology with emphases on Social and Political Informatics at the Department of Communication and Digital Media, University of Western Macedonia. He serves as Head of the Department, Director of the Digital Media and Strategic Communication Laboratory, and Vice-Director of the MSc Programs "Public Discourse and Digital Media" and "Digital Games and Multimedia Development". He is also a member of the Regional Council for Research and Innovation of the Region of Western Macedonia. Professor Lappas holds a PhD in Computer Science and an MSc in Applied Artificial Intelligence. His academic career spans numerous research contributions and leadership roles within the university and research community. His primary research interests focus on Social Informatics, E-Government, E-Democracy, Online Politics, Human-Computer Interaction, Digital Marketing, Online Reputation Management, Web Mining, Opinion Mining, Artificial Intelligence, Web Intelligence, and Social Network Analysis. His work bridges computer science with social and political sciences, particularly examining how digital technologies impact governance, political communication, and social interactions. Professor Lappas has published extensively, with over 100 papers in international journals, conference proceedings, and book chapters. His recent work examines social media campaigns in political contexts, citizen engagement with digital government services, and the application of emerging technologies like augmented reality in various sectors. His publications appear in prestigious journals such as New Media and Society, Journal of Information Technology and Politics, Local Government Studies, and International Journal of Electronic Governance. He has served as Program Committee member in more than 130 international conferences and on editorial boards of journals including Journal of Information Technology and Politics, International Journal of Entertainment Technology and Management, and Journal of E-Government. Professor Lappas has chaired or co-chaired four international conferences, served on organizing committees for seven conferences, acted as publicity chair for two conferences, and chaired sessions at over 20 international conferences. Professor Lappas has participated in numerous national and EU-funded projects. Currently, he coordinates the "Wine Live Label Innovative Augmented Reality Applications in Wine Product Labeling" project under the "Research-Create-Innovate" program, and leads work package 5 of the "AGRO-TOUR" project focused on mixed reality applications for promoting mountain trails in Western Macedonia. He teaches courses including Human-Machine Communication, Digital Marketing and Online Entrepreneurship, Online Reputational Management, E-Government, E-Democracy and Political Campaigns on the Internet, Special Issues on Social Informatics, and Big Data and Web Intelligence.

Mustafa AbdallahView profile

Assistant Professor

• Cybersecurity
• Artificial Intelligence
• Game Theory
• +7 more

Mustafa Abdallah is an Assistant Professor at the Computer and Information Technology (CIT) department of Purdue University in Indianapolis, with a courtesy appointment at the Purdue Polytechnic Institute. He holds a PhD in Electrical and Computer Engineering from Purdue University (2022) and prior degrees from Cairo University (MS: 2016, BS: 2012). His research focuses on game theory, behavioral decision-making, explainable AI, and deep learning, applied to cybersecurity, autonomous systems, and IoT anomaly detection. His work has been recognized by the prestigious Bilsland Fellowship and grants from IEEE and IUPUI. Industrial collaborations include Adobe Research (meta-learning for time-series forecasting), Principal Financial Group (financial risk prediction using Kalman filters), and RDI Company (deep learning for pronunciation systems, resulting in a US patent). He has published extensively in top venues like IEEE S&P, IEEE TCNS, and ACM AsiaCCS.

Jackson BuntingView profile

Assistant Professor

• Econometrics
• Applied Microeconomics
• Structural Econometrics
• +3 more

Jackson Bunting is an Assistant Professor of Economics at the University of Washington. He holds a Ph.D. in Economics from Duke University (2021) and previously served as an Assistant Professor at Texas A&M University. His research focuses on structural econometric approaches to panel data, particularly addressing unobserved heterogeneity and learning models in dynamic settings. Bunting's work emphasizes methodological advancements in dynamic discrete choice models and hypothesis testing for panel data properties like marginal homogeneity. His research interests include applied microeconomics, structural econometrics, and computational methods in economics. Notable contributions involve semiparametric identification frameworks, permutation-based hypothesis testing for dynamic games, and improving computational efficiency in structural estimation. Bunting has collaborated with scholars like Federico Bugni and Takuya Ura on foundational econometric methodologies. Recent publications address topics such as homogeneity testing in dynamic discrete games, estimation techniques for dynamic choice models with unobserved heterogeneity, and algorithmic improvements for econometric analysis. His work bridges theoretical econometrics with applied problems in labor, industrial organization, and policy analysis.

• Accessibility in Technology
• Software Accessibility
• Disabilities and Technology
• +5 more

Rachel Adler is an Associate Professor at the University of Illinois, affiliated with the School of Information Sciences, National Center for Supercomputing Applications (NCSA), Beckman Institute for Advanced Science and Technology, and the Siebel Center for Design. Her research focuses on accessibility in technology, particularly for individuals with disabilities and cancer survivors, alongside computational thinking and multitasking behavior. Her work emphasizes inclusive design, mHealth interventions, and educational approaches to accessibility. Notable projects include developing apps for cancer survivors and co-designing peer navigation systems. She has collaborated on studies analyzing occupational performance measures for survivors and assessing usability of health technologies. Research Highlights: Accessibility in software, health informatics, and educational technology. Key Collaborations: Beckman Institute, NCSA, Siebel Center for Design. Adler’s publications address topics like music experiences for the deaf community, digital inaccessibility challenges, and family workshops for accessibility education. Her interdisciplinary approach bridges computer science, healthcare, and education.

• Nuclear Physics
• Theoretical Physics
• Interdisciplinary Physics
• +7 more

Jan Ryckebusch is a Senior Full Professor and Department Chair at Ghent University's Faculty of Sciences, Department of Physics and Astronomy . His research bridges Nuclear Physics and Interdisciplinary Physics , with notable contributions to quantum mechanics, statistical mechanics, and machine learning applications. Key research areas include Short-Range Nuclear Correlations , Neutrino-Nucleus Scattering , and Social Network Dynamics . He has supervised multiple PhD students in projects related to Quantum Computing , Agent-Based Modeling , and Statistical Physics of Social Systems . His recent work explores Econophysics (e.g., wealth-income mobility studies) and Opinion Dynamics in social networks. Scientific Awards : No specific awards mentioned in the provided data. Grants & Collaborations : Active in interdisciplinary projects with co-authors across Physics , Economics , and Computer Science , including Luis E C Rocha, Koen Schoors, Wim Cosyn, and others.

Bryan SarloView profile

Lecturer

• Artificial Intelligence
• Video Game Development
• Computer Science Education
• +3 more

Bryan Sarlo is a Lecturer in the Department of Computer Science at Western University since Fall 2017. He specializes in teaching foundational courses such as CS1033, CS1027, CS2033, and Python programming for non-CS students in the Western Integrated Science (WISc) program. He authored a digital multimedia textbook tailored for CS1033. Education: BSc in Computer Science, Nipissing University MSc in Computer Science (Thesis: AI in Video Game Development), Western University, supervised by Dr. Mike Katchabaw Research Interests: Focus on AI applications in video games, procedural content generation, and educational technology. His MSc work explored AI-driven society simulation in modern video games, with a focus on agent-based modeling and procedural generation techniques. Publications: Notable works include studies on artificial society generation, particle swarm optimization, and visualization frameworks applied to fuel consumption simulation through serious games. These contributions bridge game development, optimization algorithms, and educational tools. Awards: The 'Teaching Awards' section is listed but no specific awards are mentioned in available texts. Advising & Grants: No formal advisees or grants are listed in the provided materials. His role emphasizes teaching and curriculum development rather than direct graduate supervision. Labs/Teams: No specific lab or team affiliations are detailed in the text.

Chloe LucasView profile

Senior Lecturer

• Human Geography
• Social and Cultural Geography
• Climate Change Communication
• +5 more

Dr. Chloe Lucas is a Senior Lecturer and Research Fellow at the School of Geography, Planning, and Spatial Sciences, University of Tasmania, with a focus on climate communication and social adaptation. She holds a PhD in Geography (2018) and an MA in English Literature (1997), bringing interdisciplinary expertise to her work. Current ARC DECRA Fellow in Climate Citizenship Coordinator of Education for Sustainability Tasmania Co-founder of the award-winning Curious Climate Schools initiative Her research explores the social dimensions of climate change , examining how cultural contexts shape responses to extreme weather events. She bridges human geography, sociology, and communication studies to develop inclusive climate dialogues. Recent projects focus on bushfire preparedness, youth climate education, and underinsurance dynamics. Key article trends show interdisciplinary work in climate adaptation games bushfire risk communication global climate perception datasets youth emotional resilience post-disaster community narratives with emphasis on visual media and participatory methods. Scientific Recognition Tasmanian Young Tall Poppy of the Year (2023) Schmidt Award for Science Communications (2022) Green Gowns Benefitting Society Award (2022) Wiley Best Paper Recognition (2018) As an educator, she coordinates Professional Research Methods and supervises PhD candidates studying climate communication. Her funded projects include Australian Research Council grants on bushfire readiness and Spencer Foundation research on youth climate education models.

Clint BowersView profile

Professor

• Technology in Mental Health
• Virtual Reality Therapy
• Game-Based Learning
• +3 more

Clint Bowers is a Professor in the Department of Psychology at the University of Central Florida's College of Sciences. His research focuses on leveraging technology to address psychological disorders, including developing games for anxiety prevention in military personnel and alcohol abuse prevention in college students. He also explores virtual/augmented reality applications for PTSD treatment and clinical training innovations, translating learning science into practical tools for clinicians. Key areas of study include first responder mental health, workplace coaching efficacy, and team resilience in healthcare. Notable achievements include the 2018 Pegasus Professor award. His work emphasizes scalable interventions like mobile apps for emergency workers and VR exposure therapy trials. Collaborations focus on medical team performance, stress management, and digital health literacy. Recent research highlights include evaluating school shooting prevention strategies, revalidating mental health stigma scales for first responders, and advancing gamified learning platforms for healthcare training. His lab explores emerging technologies' ethical and practical implications in mental health delivery systems.

Cheryl SealsView profile

Professor

• Artificial Intelligence
• Natural Language Processing
• Educational Technology
• +4 more

Cheryl Seals is the Charles W. Barkley Endowed Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. She holds a Ph.D. in Computer Science from Virginia Tech, with additional degrees from Virginia Tech, North Carolina A&T State University, and Grambling State University. Her research focuses on AI ethics, natural language processing (NLP), virtual reality (VR) applications in healthcare and education, and promoting diversity in STEM. She leads initiatives like the NSF-funded AI ethics education project and the Institute for African Americans in Computing Sciences (IAAMCS). Notable awards include the Charles W. Barkley Professorship (2020) and participation in Drexel’s ELATES fellowship program. Her work bridges technology and social impact, including VR-based empathy training for medical students and interventions to mitigate pandemic-induced learning loss. She collaborates on interdisciplinary projects, such as automated grading tools for speech therapy and pavement crack recognition systems. Education: Ph.D. Computer Science, Virginia Tech M.S. Computer Science, Virginia Tech M.S. Software Engineering, North Carolina A&T State University B.S. Computer Science, Grambling State University Research Interests: AI Ethics and STEM Education Reform NLP for Sentiment Analysis and Hate Speech Detection VR Applications in Healthcare Training and Empathy Development Computing Equity and Underrepresented Groups Interdisciplinary Tools for Education and Accessibility Awards and Recognition: Charles W. Barkley Endowed Professor (2020–2025) ELATES Fellowship Participant (2024) Grants and Collaborations: NSF Grant: Integrating AI Ethics into STEM Curricula Collaborative Research: Evolution of IAAMCS National Science Foundation (NSF) AI Ethics Initiative Labs and Affiliations: Center for Artificial Intelligence and Cybersecurity Engineering McCrary Institute for Cyber and Critical Infrastructure Security

Natasha Anne RappaView profile

Associate Professor

• Educational Technology
• Teacher Education
• Higher Education
• +9 more

Natasha Anne Rappa is an Associate Professor in the School of Education at Murdoch University, within the College of Health and Education. Her research focuses on educational technology, generative AI, virtual/mixed reality learning, and 21st-century skills. She holds a PhD from the University of Sheffield and an MA from the University of Michigan. Education: PhD in Education, University of Sheffield (2011–2015) MA in Educational Studies, University of Michigan–Ann Arbor (2010–2011) Postgraduate Diploma in Education, Nanyang Technological University (1996–1997) Bachelor of Arts with Honours, National University of Singapore (1992–1996) Awards: 2024 Vice Chancellor's Award for Excellence in Postgraduate Supervision 2021 Vice Chancellor’s Award for Excellence in Research and Innovation 2008 Lenovo Innovation Merit Award 2003 Service Excellence Award (Ministry of Education, Singapore) Her work explores AI-driven pedagogy, simulation-based learning, and MOOCs. Recent projects include dialogic approaches to AI integration in secondary education and the validation of work readiness scales. She actively contributes to journals like British Journal of Educational Technology and Asia-Pacific Education Researcher .

Daniel McKenzieView profile

Assistant Professor

• Derivative-free optimization
• Implicit neural networks
• Geometric methods in data science
• +3 more

Daniel McKenzie is an Assistant Professor in the Department of Applied Mathematics and Statistics at the Colorado School of Mines. His research focuses on derivative-free optimization, implicit neural networks, and geometric methods in data science. He holds a B.Sc.(hons) and M.Sc. in Mathematics from the University of Cape Town (2010, 2014) and a PhD in Mathematics from the University of Georgia (2019). B.Sc.(hons): Mathematics and Applied Mathematics, University of Cape Town, 2010 M.Sc.: Mathematics, University of Cape Town, 2014 PhD: Mathematics, University of Georgia, 2019 His research explores the intersection of optimization theory and machine learning, with applications in spatial data modeling, geometric data analysis, and high-dimensional clustering. Recent work emphasizes curvature-aware algorithms, comparison-based optimization, and implicit network architectures like LatticeVision. His methods address challenges in non-stationary spatial data and convex game equilibria prediction. Key contributions include Fermat distance metrics for clustering, Jacobian-Free Backpropagation (JFB) for implicit networks, and zeroth-order algorithms for black-box optimization. While no scientific awards are listed, his publications reflect a strong focus on advancing optimization techniques for modern data science problems. No specific grants or advising roles are detailed in the provided text. His work bridges computational mathematics and applied AI, with potential applications in robotics, spatial statistics, and algorithmic game theory.