Find Academic Supervisors

Michael PuriView profile

Associate Professor

• Music theory
• Music analysis
• 19th-century classical music
• +5 more

Michael Puri is an Associate Professor in the McIntire Department of Music at the University of Virginia, specializing in critical and comparative studies. His office is located in Randall Hall, and he maintains regular consultation hours. With a career blending academic rigor and performance expertise, Puri focuses on the intersection of music theory, cultural criticism, and historical analysis. Education: He holds a Ph.D. and M.Phil in Music Theory from Yale University, a Lehr- und Konzertdiplom in piano performance from the Music Academy of Basel (Switzerland), and a B.A. in Music and Germanic Languages and Literatures from Harvard University. Research Focus: Puri’s scholarship bridges technical music analysis with humanistic inquiry, exploring themes like memory, decadence, and cosmopolitanism in 19th-20th century classical music. His monograph Ravel the Decadent: Memory, Sublimation, and Desire (Oxford, 2011) traces Maurice Ravel’s aesthetic roots in French Decadence, while his current project Sympathetic Resonances challenges dichotomies between German Romanticism and French Modernism. His work frequently engages Wagner, Adorno, and Jankélévitch. Publication Trends: Puri’s articles and reviews consistently examine musical form through interdisciplinary lenses—combining philosophy, cultural theory, and memory studies. Recent works critique rotational structures (2024), analyze Ravel’s models (2017), and explore Wagnerian legacies (2013), reflecting sustained interest in hermeneutics and cross-cultural dialogues. Awards and Fellowships: Alfred Einstein Award (American Musicological Society, 2008) Delta Delta Delta Fellowship (National Humanities Center, 2013-2014) Grants from the Mellon, Ford, Whiting, and Javits Foundations; DAAD; American Philosophical Society Academic Leadership: As Director of Graduate Studies (Music Department) and former Review Editor for the Journal of the American Musicological Society (2017-2019), Puri mentors emerging scholars and shapes disciplinary discourse. He maintains performance activities through UVa’s Center for German Studies, presenting lecture-recitals on Brahms, Schumann, and Liszt.

• Natural Language Processing
• Automatic Text Summarization
• Sentence Generation
• +5 more

Juan-Manuel Torres Moreno is an Associate Professor (Maître de Conférences HDR HC) at the University of Avignon (UAPV), where he conducts research in Natural Language Processing at the Laboratoire Informatique d'Avignon (LIA). His academic position includes the HDR (Habilitation à Diriger des Recherches), a post-doctoral qualification in France that enables supervision of PhD students. His primary research interests focus on Natural Language Processing, with particular emphasis on automatic text summarization, sentence generation, and phrase compression algorithms. His work spans both theoretical and applied aspects of NLP, incorporating machine learning techniques and artificial intelligence approaches. His research has significant applications in multilingual processing, text mining, and information extraction systems. Torres Moreno's publication record demonstrates a consistent trajectory in advancing text summarization techniques, with recent work exploring cross-lingual approaches, multimedia content processing, and deep learning applications. His research often bridges the gap between theoretical linguistic concepts and practical implementation, with publications spanning from fundamental NLP algorithms to applied systems for video summarization, speech processing, and multilingual document analysis. He actively collaborates with researchers across multiple institutions including École Polytechnique de Montréal (with 50 joint publications), Laboratoire Informatique d'Avignon (83 publications), and Universidad Nacional Autónoma de México. His work appears in reputable journals such as Computer Speech and Language, Data and Knowledge Engineering, and Pattern Recognition Letters. Within the Laboratoire Informatique d'Avignon, Torres Moreno contributes to the Language Processing research theme, working with colleagues on projects related to multilingual information access, opinion mining, and text analysis. His research group has participated in several evaluation campaigns including DEFT (Défi Fouille de Textes) challenges, focusing on information retrieval and sentiment analysis tasks.

• Fisheries ecology and bio-geography
• Trophic networks and life-histories
• Effects of fishing
• +8 more

Jorge Santos is Professor of Fishery Biology at The Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø. His work integrates fisheries ecology, socio-ecological systems, and innovative art-science approaches to address coastal and marine challenges. Research Focus: Fisheries ecology and bio-geography, trophic networks, effects of fishing, coasts and estuaries, small-scale fisheries, fisheries management, coastal culture, futures of coasts and fisheries, Blue Economy, education and outreach, and quantitative methods. Key Trends: Recent work emphasizes climate change impacts on marine communities, rotational harvesting effects, geographic life-history variations, and interdisciplinary art-science collaborations for ocean communication. His publications reveal a strong shift toward integrating ecological science with cultural narratives and future scenario planning. Scientific Recognition: No formal awards listed in provided materials. Advising: Supervises bachelor, master, and PhD students across biological and social dimensions of marine systems. Grants & Projects: Coordinates NorLanka Blue (marine sciences/blue economy in Sri Lanka), SAMAKI (MSc/PhD school in Tanzania/Zanzibar), and Blue Route (global PhD education). Serves on MASMA Programme Committee and leads consultancies for fisheries/education development. Active in CRAFT research group (Center for Arctic Humanities) and projects AFO-JIGG (small-scale fishing welfare) and FUTURES4Fish (coastal futures), Santos pioneers transdisciplinary approaches bridging science, art, and community engagement.

Soroush SabbaghanView profile

Associate Professor

• Generative Artificial Intelligence in Education
• Educational Technology
• Teacher Development
• +6 more

Soroush Sabbaghan is an Associate Professor at the Werklund School of Education at the University of Calgary and serves as the inaugural Generative AI Educational Leader in Residence at the Taylor Institute for Teaching and Learning. He also holds the position of Area Chair for Language and Literacy Specialization at the Werklund School of Education. With dual PhDs in Curriculum and Learning from the University of Calgary (2015) and English Language Teaching from Tehran Azad University (2011), his academic journey spans both Canadian and international educational contexts. Dr. Sabbaghan's research focuses on the critical intersection of educational technology, teacher development, and equity, with a particular emphasis on the ethical integration of generative AI in educational settings. His work explores how AI-powered tools can support inclusive and evidence-informed teaching practices across K-12 and higher education environments. He has developed multiple AI applications including REVIA, AI4Equity, CaseCraft, SMARTIE, COERI, and PEARL to enhance teaching and learning experiences while maintaining academic integrity. His scholarly output reveals a clear trajectory toward increasingly sophisticated applications of AI in education, with his most recent publications (2023-2025) centering on ethical frameworks, human-centered AI design, and practical implementations of generative technologies in academic settings. These works collectively address critical tensions between technological innovation and educational values, particularly regarding academic integrity, equity, and professional development. Teaching Award for Experiential Learning (2025) Teaching Award for Teaching in Online Environments (2021) Dr. Sabbaghan has secured significant research funding, including SSHRC grants and multiple University of Calgary Teaching and Learning Grants, to explore AI's impact on education. He actively collaborates with educators across Canada and internationally, serving as Principal Investigator on studies examining co-designed AI tools in teacher education. His leadership extends to directing the Generative AI Resource Development Working Group and co-chairing the Academic Generative AI Working Group at the institutional level. He has also developed numerous AI-powered educational applications through projects like the Math Minds initiative and various teaching innovation grants. As an active member of the AI Community of Practice at the University of Calgary and host of the AI Speaker Series, Dr. Sabbaghan fosters interdisciplinary dialogue about AI's role in education. His work with the International Foundations Program and as Liaison to the Haskayne School of Business demonstrates his commitment to cross-institutional collaboration. His recent development of tools like SMARTIE (an AI-powered course design tool featured in CityNews Calgary) exemplifies his practical approach to translating research into classroom applications.

• Data management and data science
• Artificial intelligence
• Distributed computing and systems software
• +6 more

Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).

• Education
• Lesson Development
• Classroom Management
• +8 more

Hiroyuki Tanaka is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences since 2009, with prior roles at Osaka Kyoiku University (1994–2009). His research focuses on education, curriculum development, classroom management, active learning, AI integration in pedagogy, and moral education innovations. He has led 15+ JSPS-funded projects, including AI-driven inquiry learning models and classroom competency frameworks. Education: Master of Arts (Osaka University) Key affiliations: Waseda University, Japan Society of Educational Technology Research interests include AI applications in education , self-development learning models , and multimedia-based teaching . Notable trends in his publications involve cross-disciplinary inquiry-based learning , generative AI tools , and ethical digital practices for K-12 education. Books and manuals like "Theory and Practice of Moral Education Lesson" (2025) and "Useful in the classroom! How to use ChatGPT for teachers" (2024) highlight his work bridging technology with traditional pedagogy. His grants from Japan Society for the Promotion of Science focus on curriculum innovation and classroom competency systems .

• Internet Law
• Data Protection Law
• Information Technology Law
• +3 more

Sebastian Brüggemann is a German legal scholar specialising in Internet, data-protection and IT law. Since 2013 he has been a part-time lecturer (Lehrbeauftragter) at the Faculty of Law of Eberhard Karls University of Tübingen, and he holds parallel teaching appointments in data-protection and IT law at the Universities of Applied Sciences in Kehl and Ludwigsburg as well as at ZHAW School of Management and Law in Winterthur, Switzerland. In private practice he works as in-house counsel (Syndikusrechtsanwalt) for a large international IT company, focusing on data-protection and technology law. Education: 2003-2011: Studies of Law and General Rhetoric, Eberhard Karls University of Tübingen 2009: First State Law Examination, Tübingen 2011: Magister Artium in General Rhetoric, Tübingen 2010-2012: Legal clerkship (Referendariat), including stages at the German University of Administrative Sciences Speyer and eco – Verband der Internetwirtschaft 2012: Doctorate in Law (Dr. iur.), Tübingen – dissertation on third-party disclosure claims against Internet providers in copyright enforcement 2013: Admission as attorney (Rechtsanwalt) 2013-2015: Part-time LL.M. in Information Technology Law, Carl von Ossietzky University of Oldenburg Research interests span the intersection of law and digital technology: data-protection compliance under the GDPR, cybersecurity regulation, copyright in digital media, network neutrality, M2M/IoT legal issues, and the legal framework of behavioural advertising. His work frequently analyses German, European and comparative US developments. He has authored a monograph, numerous commentaries to GDPR/BDSG provisions, model IT contracts, and more than two dozen peer-reviewed articles and case notes since 2013, identifying recurring themes such as data portability, ISP liability, streaming and copyright, and the challenges of Industrie 4.0. Professional memberships & science communication: editorial board of Privacy in Germany , core team member of the Telemedicus IT-law portal, member of IAPP, DGRI and GRUR, and co-author of sector guidelines issued by Bitkom and eco association. There is no indication of supervised doctoral or master’s students in the supplied material; his teaching activities concentrate on specialised continuing-education courses and part-time lectures.

Scotty CraigView profile

Associate Professor

• Cognitive Science
• Learning Engineering
• Educational Technology
• +11 more

Scotty D. Craig is an Associate Professor in Human Systems Engineering at The Polytechnic School, Arizona State University. He serves as Director of Strategic Initiatives at ASU's Learning Engineering Institute and co-directs the ASU Advanced Distributed Learning Lab in collaboration with the U.S. Department of Defense. His research spans cognitive science, educational technology, and immersive learning environments with applications in virtual humans, mixed reality training systems, and intelligent tutoring technologies. Ph.D. Experimental Psychology (Cognitive Learning), University of Memphis (2005) M.S. Psychology, University of Memphis (2001) B.A. Psychology with minors in Anthropology and History, University of Memphis (1998) Dr. Craig's research focuses on the intersection of human cognition, technology, and learning sciences. His work includes virtual humans for training, cognitive load optimization in medical websites, and mixed reality systems for medical education. He leads multiple DOD-funded projects totaling $8.5M, including the $5M Virtual Insomnia Patients system and $2M WaterSim America sustainability game. Recent publications emphasize immersive learning technologies, with 2025 work on collaborative AR learning companions and 2024 studies on voice quality impacts in pedagogical agents. His research has produced over 150 publications, including three edited books on educational technology. Scientific Honors: Pacific Southwest Best Paper Award (ASEE 2016) Best Poster Award (AIED 2017) Innovation in Scholarship Award (ASU 2017) Faculty Teaching Excellence Award (ASU 2018) Top 5% Teaching Recognition (Fulton Engineering 2024) Dr. Craig serves on editorial boards for International Journal of STEM Education and Computers & Education . He has organized five journal special issues and conducted extensive research evaluations for the U.S. DoD.

Imran AhmedView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +9 more

Dr. Imran Ahmed serves as a Senior Lecturer in Artificial Intelligence at Anglia Ruskin University's Faculty of Science and Engineering, School of Computing and Information Science. With over 100 research publications exceeding 250 JCR impact factor and an h-index greater than 30, he represents a distinguished academic in computer science and engineering fields. Dr. Ahmed's research spans multiple domains of artificial intelligence, with particular expertise in machine learning, deep learning, computer vision, and data science. His work focuses on medical imaging applications including brain tumor detection, Covid-19 detection, pulmonary nodule classification, and liver lesion detection. He also pioneers research in surveillance systems, IoT-enabled environments, anomaly detection, and AI applications for sustainability in environmental monitoring and precision farming. His recent publications demonstrate a strong trend toward practical AI applications in healthcare, environmental sustainability, and intelligent transportation systems. The research shows increasing emphasis on explainable AI, edge computing implementations, and interdisciplinary approaches that bridge computer science with medical, environmental, and industrial applications. His work consistently addresses real-world challenges with innovative technical solutions. World's top 2% scientists by Stanford University (2021, 2022) Double Gold Medallist Certificate of merit for brain MRI analysis for tumor detection Numerous awards for teaching, research, and administrative excellence Dr. Ahmed supervises research across multiple domains including medical imaging, healthcare informatics, surveillance systems, environmental monitoring, agricultural technology, recommender systems, anomaly detection, cyber security, public health, urban planning, smart cities, augmented reality, and human-computer interaction. His research projects include Human Surveillance and Activity Recognition, Data Analytics during Covid-19, Sustainable Healthcare applications, Deep Learning in Medical Imaging, and Sustainable Environmental Control frameworks. As Principal Investigator, he has led multiple funded projects integrating IoT and AI technologies for practical applications. He is actively involved in organizing technical sessions and workshops for IEEE conferences, particularly focusing on cybersecurity issues of IoT in Ambient Intelligence environments, connected intelligence for IoT applications, and real-time data processing in industrial contexts. His professional memberships include Fellow of the Higher Education Academy, Senior Member of IEEE, Member of ACM Computer Society, and Senior Member of the Institute of Research Engineers and Doctors.

• Graph Neural Networks
• Machine Learning
• Artificial Intelligence
• +3 more

Fabian Jogl is a PreDoc Researcher at the Vienna University of Technology (TU Wien) within the Faculty of Informatics, holding dual affiliations in the Department of Databases and Artificial Intelligence (Institute E192) and the Department of Machine Learning (Institute E194). His work centers on theoretical and applied aspects of graph neural networks under the StruDL (2023–2027) and VHH (2019–2023) research projects. His research focuses on the expressivity limits of graph neural networks, particularly investigating whether enhanced expressivity translates to better predictive performance. Key areas include outerplanar graph analysis, path-based GNN architectures, global feature integration, and connections to the Weisfeiler-Lehman hierarchy. He examines structural properties of GNNs through homomorphisms and graph transformations to advance graph representation learning. Recent publications reveal trends toward unifying theoretical expressivity frameworks with empirical validation across diverse graph datasets. His work bridges geometric deep learning for cell complexes and practical applications like historical film analysis via the Historian dataset. Jogl actively contributes to major conferences including NeurIPS, ICML, and LoG while co-supervising student projects in machine learning algorithms. As a core member of the StruDL project, he investigates deep learning model structures for graph data, extending prior work on historical film annotation under the VHH project. His technical contributions include novel GNN simulation techniques and methods for enhancing message-passing architectures through graph transformations.

Jeffrey MartiniView profile

Professor

• Middle East Security
• Military Affairs
• Threat Assessment
• +3 more

Jeffrey Martini is an Associate Director at the RAND Arroyo Center's Strategy, Doctrine, and Resources Program, a Senior International Defense Researcher at RAND, and a Professor of Policy Analysis at the RAND School of Public Policy. His work focuses on Middle East security, U.S. military strategy, and conflict analysis. He holds an M.A. in Arabic Studies from Georgetown University and a B.A. in Political Science and Economics from Middlebury College, with four years of lived experience in the Arab world, including Peace Corps service in Morocco. His research spans climate change's impact on regional security, proxy warfare dynamics, and U.S. defense strategies in volatile regions. Notable contributions include analyses of Iran-backed militant groups, climate-related conflict projections for U.S. Central Command (CENTCOM), and studies on deterrence effectiveness in Europe and the Middle East. Martini has also authored works on Arab Gulf security, Syria stabilization, and civil-military relations in Egypt. Martini's articles reflect a blend of strategic foresight and empirical analysis, addressing topics like climate-induced instability, adversary exploitation of conflicts, and optimizing defense investments. His expertise is further highlighted in multimedia engagements, including panel discussions on CENTCOM challenges and podcasts dissecting regional geopolitical shifts.

• Natural Language Processing
• Large Language Models
• Digital Libraries
• +6 more

Min-Yen Kan is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore (NUS), with a focus on the Department of Computer Science. He earned his Ph.D., M.Sc., and B.S. in Computer Science from Columbia University. Associate Professor, NUS Department of Computer Science Vice Dean of Undergraduate Studies, NUS School of Computing His research spans Natural Language Processing , Large Language Models , Digital Libraries , and Information Retrieval , with applications in Human-Computer Interaction , Web Systems , and Recommendation Technologies . He leads the Web, Information Retrieval, and NLP Group (WING.NUS), driving projects in scholarly document analysis, dialogue systems, and AI ethics. Recent publications highlight his work on LLM alignment , multimodal deception detection , and evaluation frameworks . Key trends include ethical NLP, knowledge aggregation in vision-language models, and combating misinformation through AI. Scientific Awards: Best Paper Award, CIKM 2019 Distinguished Service Awards, ACL Vannevar Bush Best Paper Award, JCDL 2012 As a PhD advisor , his students have secured roles at institutions like Google and USTC. He also serves on the ACL Ethics Committee and as associate editor for Information Retrieval and JAIR .

Brian Ó RaghallaighView profile

Assistant Professor

• Digital Terminology
• Onomastics
• Folkloristics
• +6 more

Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).

Thomas LittleView profile

Professor

• Smart and Connected Systems
• Visible Light Positioning
• Mobile and Vehicular Ad Hoc Networks (MANETs)
• +2 more

Thomas Little is a Professor in the Department of Electrical & Computer Engineering and Systems Engineering at Boston University, serving as the Associate Dean of Educational Initiatives. He holds a PhD from Syracuse University (1991) and leads the Multimedia Communications Laboratory. His research focuses on smart systems, visible light positioning, MANETs, pervasive computing, and optical wireless communications. Key honors include the Kern Faculty Fellow, NSF CAREER Award, and Senior Member of IEEE. His teaching spans courses like EC444 (Smart Systems) and EC744 (Mobile Ad Hoc Networking). He is affiliated with the Center for Information and Systems Engineering and Clean Energy Sustainability Initiative. Recent publications emphasize optical wireless networks, interference mitigation, and 3D localization. Over 150 articles showcase advancements in VLC systems, hybrid RF/VLC networks, and smart lighting integration with 5G frameworks. His work bridges communication technologies and environmental sustainability.

• Applied Linguistics
• Foreign Language Education
• Sociolinguistics
• +3 more

Merje Miliste is a Lecturer in German Language and Linguistics at the University of Tartu's Faculty of Arts and Humanities, Institute of Foreign Languages and Cultures (1.00 FTE since 2019). Previously, she held roles including Programme Director for German Studies (2014), Academic Developer (2016–2019), and various lecturer positions since 2003. She earned a Doctor's Degree in 2011, focusing on interactions between Estonian learners' mother tongue and other languages when acquiring German as an additional foreign language. Education : PhD (2011, University of Tartu) with a thesis on mother tongue interactions in multilingual learners; MA (2000, German Philology); BA (1996, German Language and Literature). Pedagogy training (1995–1996) and intercultural mentorship certification (2008–2009). Research Interests : Applied linguistics, multilingualism, language acquisition processes, technology in language learning, foreign language pedagogy, and sociolinguistics. Her work emphasizes intersections between mother tongue influence, digital tools, and educational methodologies. Publications Overview : Over 20 peer-reviewed articles and book chapters since 2001, focusing on topics like AI's role in language media, YouTube-driven language learning, MOOC engagement patterns, and multilingual curriculum design. Recent work explores digital dictionary usage and collaborative teaching strategies. Awards : 2015 Tartu University Scholarship for Teaching and Learning Innovation. Recognized for administrative leadership in educational initiatives. Grants & Roles : Managed German MA programs (2013–2015), chaired national German Olympiad committees (2001–2002), and contributed to language policy discussions in post-Soviet educational contexts. Active in teacher training and intercultural mentorship programs. Labs/Teams : Collaborates with the Institute of Foreign Languages and Cultures on multilingual education projects and digital pedagogy initiatives.