Find Academic Supervisors

Gerald VoorheesView profile

Associate Professor

• Game Studies
• New Media
• Digital Identity Construction
• +4 more

Gerald Voorhees is an Associate Professor and Chair of Communication Arts at the University of Waterloo. He holds a Ph.D. from The University of Iowa (2008) and a B.S. in Speech Communication from the University of Texas at Austin, where he was a Senior Fellow in the Honors Program of the College of Communication. His research explores games and new media as platforms for identity and cultural construction, with a focus on public discourse around gaming and rhetorics of race and ethnicity. Dr. Voorhees has held significant academic roles, including Vice-President of the Canadian Game Studies Association and former membership on the Executive Board of the Digital Games Research Association. He previously taught at Oregon State University and developed the Game and Interactive Media Design track at High Point University. His teaching spans communication theory, media studies, and game design, with courses such as DAC 204 (Game Design) and COMMST 430 (Communication and Social Justice). His research integrates critical theory with digital media analysis, examining topics like gender representation in games, neoliberal masculinity in esports, and racial dynamics in gaming cultures. He has co-edited influential volumes such as Masculinities in Play (2018) and Feminisms in Play (2018), contributing to foundational discussions in game studies. His recent work addresses intersectional feminism in gaming and the cultural implications of shooter game genres. Dr. Voorhees actively engages with professional organizations and academic publishing, serving as co-editor of the Approaches to Game Studies book series (Bloomsbury) and managing editor of the Gender in Play trilogy (Palgrave Macmillan). His scholarship bridges theoretical frameworks with empirical analysis, shaping interdisciplinary dialogue on digital media's societal impact.

Hyung Jin ChangView profile

Associate Professor

• Human-Robot Interaction
• Computer Vision
• Machine Learning/Deep Learning
• +6 more

Dr. Hyung Jin Chang is an Associate Professor at the School of Computer Science, University of Birmingham, and a Turing Fellow at the Alan Turing Institute. He holds a Ph.D. and B.S. from Seoul National University. His research focuses on human-centered visual learning, particularly in human-robot interaction, with expertise in computer vision, machine learning, and deep learning. He has been involved in organizing conferences like ECCV and ICCV workshops (e.g., VOTS Challenge, HANDS Workshop) and serves on program committees including AAAI and CVPR. His work spans areas like gaze estimation, domain adaptation, 3D pose estimation, and robotic perception for assistive technologies. Key achievements include receiving the Royal Society Research Grant (2019–2020) and Wellcome Trust funding. Notable contributions include frameworks for unsupervised domain adaptation, gaze estimation models (e.g., RT-Gene), and collaborative learning methods for hand-object reconstruction. He has led projects in medical robotics, personalized dressing assistance, and safety-critical systems like driver attention prediction. His 15 most recent articles (2024–2025) emphasize advancements in diffusion models, domain adaptation, 3D reconstruction, gaze-controllable systems, and generative AI for motion and interaction modeling. These reflect a trend toward integrating multimodal data (vision + language) and bridging theoretical foundations with applied robotics. Awards: Royal Society Grant, Wellcome Trust, Turing Fellowship Grants: Active in securing funding for robotics, vision, and healthcare applications He leads the Personal Robotics Lab and collaborates on projects like the VOTS Challenge for visual object tracking. His research bridges academia and real-world applications in healthcare robotics and human-technology interaction.

Jay CrisostomoView profile

Associate Professor

• Ancient Near Eastern Studies
• Sociolinguistics
• Cuneiform Cultures
• +5 more

Jay Crisostomo is an Associate Professor and Director of Graduate Studies at the University of Michigan's Department of Ancient Near Eastern Civilization and Languages and Civilizations within the College of Literature, Science, and the Arts. He holds the George G. Cameron Professorship. His research focuses on the languages and intellectual histories of ancient Mesopotamian cuneiform cultures, with emphases on sociolinguistics, multilingualism, translation, and scribal practices. He earned a Ph.D. from the University of California, Berkeley in 2014. Teaching encompasses courses on ancient Middle Eastern history, languages, and cultures, including 'Science and Technology in the Ancient Middle East' and 'Madness, Medicine, and Magic in the Middle East.' He also teaches on sport history and language in the ancient Mediterranean. As Director of Graduate Studies, he supports MES program students, advising prospective PhD candidates in ancient Middle East history/Assyriology. Research highlights include his book Translation as Scholarship: Language, Writing, and Bilingual Education in Ancient Babylonia and ongoing projects on the 3,000-year history of Sumerian language use, Babylonian scholars, and Sumerian-Akkadian linguistic contact. Current efforts involve editing 150 lexical tablets in Germany's collections. His work bridges ancient textual analysis with broader themes in cultural transmission and knowledge systems. He collaborates on critical editions of cuneiform texts and maintains affiliations with international research networks. Contactable via cjcrisos@umich.edu, his office is located at 202 South Thayer Street, Ann Arbor.

Immanuel TrummerView profile

Professor

• Database Systems
• Query Optimization
• Large Language Models
• +3 more

Immanuel Trummer is a Professor of Computer Science at Cornell University, specializing in database systems, query optimization, and applications of large language models (LLMs) and quantum computing. He leads research projects such as DB-BERT, UDO, and SkinnerDB, focusing on automated database tuning, adaptive query processing, and leveraging LLMs for code synthesis and system optimization. His research interests span quantum computing for database optimization, cost-efficient LLM utilization, and voice-based data exploration. Key contributions include developing systems like CEDAR for claim verification, CodexDB for LLM-driven code generation, and ThalamusDB for multimodal data querying. Trummer has received prestigious awards, including the NSF CAREER Award (2023-2028) and the Best Demonstration Award at BDA 2020. His work has been funded by NSF, Google, Huawei, and others, supporting projects like quantum-index selection and misinformation detection. He advises graduate students in database systems and teaches advanced courses such as CS 6320 (Advanced Database Systems) and CS 7390 (Seminar in Database Systems). His research lab hosts open-source tools like JoinGym and maintains extensive collaborations in industry and academia.

Zhendong SuView profile

Professor

• Programming Languages
• Compilers
• Software Engineering
• +3 more

Zhendong Su is a full professor in the Department of Computer Science at ETH Zurich since August 2018. Previously, he held a full professorship at UC Davis from 2003 until June 2019. He earned his Ph.D. in Computer Science from UC Berkeley and dual Bachelor’s degrees in Computer Science and Mathematics from UT Austin in 1995. Affiliations: ETH Zurich: Full Professor (since 2018) UC Davis: Full Professor and Chancellor’s Fellow (2003–2019) IEEE Fellow, ACM Fellow, and Member of Academia Europaea His research focuses on programming languages, compilers, software engineering, computer security, and education technologies . Key contributions include compiler validation (e.g., Project Yin-Yang for SMT solvers and DBMS testing), testing tools like SQLancer, and educational innovations such as the Algot visual programming language. Recent work emphasizes secure AI (e.g., CipherSteal for TEE-shielded models) and compiler reliability (e.g., Artemis/Apollo for JIT validation). He has pioneered techniques like metamorphic testing and equivalence modulo inputs (EMI) for compiler validation, uncovering thousands of bugs in GCC/LLVM and SMT solvers. Awards: ICSE MIP Award (2022), ACM SIGSOFT Impact Paper (2018), NSF CAREER Award, and multiple industrial awards. His students have won IEEE TCSE Rising Star and SIGSOFT Impact Paper awards, securing roles at top universities and companies like Google and NVIDIA. Service: Steering committee member of ISSTA and ESEC/FSE, ACM Distinguished Speaker, and Associate Editor for ACM TOSEM. Program chaired ISSTA 2012 and co-chaired FSE 2016. Labs/Teams: Leads research groups on compiler validation, secure AI, and education technologies. Projects include Yin-Yang (SMT testing), SQLancer (DBMS fuzzing), and Algot (visual programming for education).

• Artificial Intelligence
• Quantum Computing
• Theoretical Computer Science
• +3 more

Cem Say is a Professor in the Department of Computer Engineering at Boğaziçi University's Faculty of Engineering, where he has established himself as a leading researcher in theoretical computer science and artificial intelligence. His academic journey began with the completion of his doctoral dissertation titled Qualitative System Identification in 1992, which was the first thesis of Boğaziçi University's Computer Engineering PhD program. Professor Say's research interests span multiple domains of computer science, with significant contributions to quantum computing, artificial intelligence, and theoretical computer science. His early work focused on qualitative reasoning and simulation, particularly through the QSIM algorithm, where he made significant improvements to filtering techniques and addressed challenges in representing physical systems. Over time, his research evolved toward quantum computation, where he has made substantial contributions to quantum finite automata theory, space-bounded quantum computation, and quantum complexity classes. His recent work explores the energy complexity of computation, bridging theoretical computer science with thermodynamics. His publication record shows a clear evolution from classical AI and qualitative reasoning toward quantum computation. The most recent articles demonstrate his focus on space-bounded quantum computation, energy complexity of regular languages, and interactive proof systems with minimal resources. His work consistently addresses fundamental questions about computational limits, particularly in quantum and sublogarithmic-space models. Professor Say has also made significant contributions to science communication through several books written for general audiences, including 50 Soruda Yapay Zekâ (2018), Yeni Dünya, Yeni Ağ (2020), and En Hakiki Mürşit (2021), which explain complex concepts in artificial intelligence and scientific methodology in accessible terms. Throughout his career, Professor Say has been actively involved in the Turkish academic community, editing proceedings for multiple Turkish symposia on artificial intelligence and neural networks. His doctoral dissertation established foundational work in qualitative system identification, and his subsequent research has consistently pushed boundaries in theoretical computer science, particularly in quantum computation where he has collaborated extensively with Abuzer Yakaryılmaz and other researchers.

Andrzej NowakView profile

Professor

• Dynamical Social Psychology
• Social Influence
• Computer Simulations of Psychological Processes
• +7 more

Dr. Andrzej Nowak is a Professor of Psychology at the Charles E. Schmidt College of Science, Florida Atlantic University , where he has created a unique interdisciplinary research program since 1991. His work bridges social psychology, computational modeling, and complex systems theory. University of Warsaw, Psychology Stanford University, 1974-1975 M.A. and Ph.D. in Psychology from University of Warsaw (1978, 1987) Nowak's research focuses on applying dynamical systems theory to understand social processes through computational modeling. He investigates: Emergent properties of social systems Self-organization in group dynamics Conflict and radicalization mechanisms Synchronization of psychological states Behavioral economics and social dilemmas Technology-mediated social transitions His publications demonstrate interdisciplinary breadth across psychology, computational science, and socioeconomic modeling. While many articles (1990-2010) focus on social impact theory and neural network applications, recent work (2008-2010) expands to intractable conflict modeling, social entrepreneurship, and cross-scale systemic dynamics. Dr. Nowak has co-edited multiple volumes on: Complex human dynamics Computer modeling of social processes Non-equilibrium social science He has developed simulation platforms like Attractor for multi-stakeholder negotiation training and contributed to understanding: Warsaw as an emergent structure Polish political cleavage stability Behavioral economics foundations

Sinfree MakoniView profile

Professor

• Language Policy and Planning
• Decoloniality
• Southern Epistemologies
• +5 more

Sinfree Makoni is a Professor in the Department of Applied Linguistics and Director of the African Studies Program at Pennsylvania State University, with additional academic appointments as Extraordinary Professor at the University of the Western Cape and North-West University, and Visiting Professor at Nelson Mandela University. His career includes a postdoctoral fellowship at the University of Michigan's Centre for Afro-American Studies and a Carnegie Diaspora Fellowship at Laikipia University, Kenya. Education: Ph.D., Applied Linguistics, University of Edinburgh (1989) B.A. (Hons), English Linguistics, University of Ghana, Legon Makoni's research critically engages with decolonial frameworks in linguistics, focusing on: Language Policy/Planning : Colonial legacies and grassroots resistance in Africa Southern Epistemologies : Centering non-Western knowledge systems Discursive Power : Terrorism narratives, health communication, and human rights Language & Society : Aging, security, and music in postcolonial contexts His publications demonstrate consistent emphasis on deconstructing colonial linguistic hierarchies through monographs like Innovations and Challenges to Applied Linguistics from the Global South (2020) and edited volumes on decolonial pedagogy. Awards: Carnegie Diaspora Fellowship (Laikipia University) As architect of the African Studies Global Forum and co-editor of the Global Forum on Southern Epistemologies book series, he fosters Global South scholarly dialogue. He currently serves as Associate Editor for Applied Linguistics .

• Managing discontinuous business model innovation
• Digital strategies for Industrie 4.0
• Additive Manufacturing
• +11 more

Prof. Dr. Frank T. Piller is a University Professor and Co-Leader of the Institute for Technology and Innovation Management (TIM) at RWTH Aachen University, where he also serves as Academic Director of the Executive MBA program at RWTH Business School. He leads a research team of approximately 30 doctoral students, 5 postdocs, and over 20 student researchers within the TIME Research Area of the School of Business and Economics. His educational background includes a doctoral degree in Operations Management from the University of Würzburg (1999) and a Habilitation degree from TUM Business School (2004) on "Innovation and Value Co-Creation." Prior to joining RWTH Aachen in 2007, he was a Research Fellow at MIT Sloan School of Management and faculty at TUM Business School. Prof. Piller is recognized as one of the world's leading experts in customer-centered value creation, specializing in mass customization, personalization, and customer co-creation. His current research focuses on how established companies can transform in response to disruptive business model innovations, with particular emphasis on digital transformation (Industry 4.0), AI-augmented innovation, and sustainable business models. He is particularly known for his work on innovation ecosystems, platform-based business models, and stakeholder-oriented technology development. His recent publications demonstrate a clear trajectory toward integrating artificial intelligence with traditional innovation management frameworks, exploring how AI transforms manufacturing systems, innovation processes, and business models. His work increasingly addresses the challenges of digital transformation in established industries while maintaining focus on customer co-creation and mass customization principles. His scientific achievements have been recognized with numerous awards: Co-Creation Award of the PDMA Nomination for "Innovating Innovation" Prize by Harvard Business Review and McKinsey "Lecturer of the Year" by Executive MBA students at TU Munich RWTH Aachen Rector's Prize for Excellent Teaching (since 2010) Grant for innovative "Flipping the Classroom" teaching concept ERC Synergy Grant for SAFER Grid project (2025-2031) Prof. Piller maintains an extensive research network spanning academia and industry. He collaborates with numerous corporations including 3M, Adidas, BASF, EON, J&J, P&G, Siemens, and Vodafone, as well as many technology startups across Europe and North America. As a co-founder, supervisory board member, and investor in innovative startups, he actively transfers research into practice. His research has received significant funding, most notably the prestigious ERC Synergy Grant for the SAFER Grid project. He leads the Technology and Innovation Management Group (TIM) within the TIME Research Area at RWTH Aachen, which comprises over 100 senior and junior researchers working at the intersection of innovation, technology management, marketing, and entrepreneurship. The institute is a leading European research institution for strategic, behavioral, and computer-supported technology and innovation management.

Chien-Ming HuangView profile

Assistant Professor

• Human-Computer Interaction
• Robotics
• Artificial Intelligence
• +3 more

Dr. Chien-Ming Huang is the John C. Malone Assistant Professor in the Department of Computer Science at Johns Hopkins University. He leads the Intuitive Computing Laboratory and is affiliated with the Malone Center for Engineering in Healthcare, Laboratory for Computational Sensing and Robotics, Institute for Assured Autonomy, and Data Science and AI Institute. His research focuses on human-robot interaction, human-computer interaction, and artificial intelligence applications in healthcare and education. BS in Computer Science, National Chiao Tung University (2006) MS in Computer Science, Georgia Institute of Technology (2010) PhD in Computer Science, University of Wisconsin–Madison (2015) Postdoctoral Research, Yale University (2015-2017) Dr. Huang's work bridges human-robot interaction, robotics, and AI to develop technologies that enhance social, physical, and behavioral support for diverse populations. His research includes adaptive robot systems for autism intervention, aging care technologies, and explainable AI frameworks for medical decision support. Current projects focus on end-user robot programming, socially aware navigation, and conversational agents for health management. His publications span major venues like Science Robotics , HRI, CHI, and ICRA, with recent emphasis on robot error awareness, small talk in collaboration, and AI explanation design for healthcare. Dr. Huang has received numerous accolades including the NSF CAREER Award and John C. Malone Endowed Chair. 2022 NSF CAREER Award John C. Malone Endowed Chair 2013 RSS Best Paper Runner-Up 2012 Human-Robot Interaction Pioneer Dr. Huang mentors PhD, postdoctoral, and undergraduate researchers, emphasizing interdisciplinary collaboration and technical rigor. He serves as Associate Editor for ACM Transactions on Human-Robot Interaction and has organized key conferences including HRI and ICMI. His lab develops systems for robotic assistance in surgical training, home healthcare, and educational contexts.

Glenn TiffertView profile

Research Fellow

• Modern Chinese History
• Political History of the People's Republic of China
• Chinese Legal History
• +7 more

Glenn Tiffert is a Distinguished Research Fellow at Stanford University's Hoover Institution, specializing in modern Chinese history and contemporary US-China relations. He co-chairs Hoover's program on the US, China, and the World and leads Stanford's participation in the NSF SECURE program, a $67 million initiative authorized by the CHIPS and Science Act of 2022. Tiffert is a historian of modern China with expertise in the political and legal history of the People's Republic of China. His research focuses on the construction of China's court system and judiciary, the drafting of the 1954 PRC Constitution, and the suppressed genealogy of the rule of law in China. He has pioneered the integration of computational methods into Chinese historical studies and is currently completing the first archival study in any language of the takeover and reconstitution of a Chinese state organ (the courts) by the Chinese Communist Party. His recent publications reveal a strong trend toward analyzing China's global influence operations, research security challenges, and technological competition between the US and China. Tiffert's work increasingly addresses how authoritarian regimes exploit vulnerabilities in open knowledge ecosystems, particularly examining China's 'sharp power' projection and efforts to reshape global narratives. Co-chairs the Hoover project on China's Global Sharp Power Executive committee member of the Academic Security and Counter-Exploitation Program Participant in multiple Hoover research teams including Taiwan in the Indo-Pacific Region and Semiconductors security working group Testified before the U.S. Senate Select Committee on Intelligence on Chinese malign influence operations Tiffert collaborates extensively with government and civil society partners worldwide to document and build resilience against authoritarian interference with democratic institutions. His work spans academic research, policy development, and public education on the security and integrity of knowledge ecosystems, particularly academic, corporate, and government research.

Alexander KollerView profile

Professor

• Computational Linguistics
• Neural-Symbolic Models
• Semantic Parsing
• +5 more

Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.

Dongwook YoonView profile

Associate Professor

• Human-Computer Interaction
• Human-AI Interaction
• Virtual and Augmented Reality
• +3 more

Dongwook Yoon is an Associate Professor at the Department of Computer Science , University of British Columbia , and serves as Director of the SOCIUS Lab . He actively contributes to research in Human-Computer Interaction, Human-AI Interaction, and Virtual/Augmented Reality as a member of the Designing for People (DFP) and CAIDA research clusters. Education : PhD in Computer Science from Cornell University (2017), MS (2009) and BS (2007) in Computer Science from Seoul National University Research Focus : Designing socio-technical systems that bridge the gap between technology and human social processes, with innovations in AR/VR, multimodal interaction, and inclusive design Article Trends show his work spans: Temporal and bichronous learning environments AI self-clones and ethical implications Income inequality in virtual platforms Enhanced multimodal collaboration in VR Eyes-reduced interfaces for situational impairments Speculative participatory design for gig economy challenges Scientific Awards include: Google Academic Research Award (2024) Best Paper Award at CHI 2024 High Impact Award in Educational Technology (2024) CHCCS/SCDHM Graphics Interface Early Career Award (2023) Multiple Honorable Mentions at CHI, DIS, and CSCW Students & Collaborators range from active PhD candidates (Anika Sayara, Yuri Kim) to notable alumni (Thitaree Tanprasert, Ashish Chopra) across his SOCIUS Lab projects. His research receives funding from NSERC , KIST , Adobe , Microsoft , and Google grants.

Delphine AllèsView profile

Professor

• Southeast Asia and International Relations
• Global International Relations and Area Studies
• Religion and International Relations
• +5 more

Delphine Allès is a University Professor at the National Institute of Oriental Languages and Civilizations (INALCO) in Paris, France, where she serves as Vice-President responsible for board of directors, organization and resources. She is a leading scholar in International Relations with a focus on Southeast Asia, particularly Indonesia, and specializes in non-Western approaches to international relations, religion in global politics, and Indo-Pacific security dynamics. Her research interests span multiple interconnected domains: Religion and International Relations Non-Western Approaches to International Relations Diplomacy, Security and Multilateral Cooperation in Southeast Asia (Indonesia / Indo-Pacific) Civilizational Narratives Global International Relations and Area Studies Allès's scholarly work demonstrates a consistent focus on decentralizing International Relations theory through empirical studies of Southeast Asian practices. Her recent publications examine the Indo-Pacific concept, religious diplomacy between Russia and Indonesia, and critiques of Western-centric security frameworks. She has pioneered research on how non-Western civilizations conceptualize international order, particularly through religious frameworks. Professor Allès serves on the editorial boards of multiple prestigious journals including European Journal of East Asian Affairs, Global: Jurnal politik internasional, and Archipel. She is also Scientific manager of the AMI-SHS DECRIPT program focused on crises and civilizational narratives. Her administrative leadership includes membership on the Scientific and Strategic Council of Pôle Asie (MEAE) and the board of the French Political Science Association. Previously, she directed the International Relations department at INALCO (2018-2023) and co-edited the journal Etudes internationales (2021-2024).

Laurie WilliamsView profile

Professor

• Software Security
• Agile Software Development
• Software Supply Chain Security
• +4 more

Laurie Williams serves as a Goodnight Distinguished University Professor in the Computer Science Department within the College of Engineering at North Carolina State University. She co-directs both the NCSU Secure Computing Institute and the NC State Science of Security Lablet, demonstrating deep institutional leadership in cybersecurity research. With over 260 refereed publications, her work establishes her as a prominent figure in software security academia. Her research spans critical areas including software security, agile development practices (particularly continuous deployment), software reliability, and software supply chain security. Williams focuses on practical security solutions addressing modern challenges like malicious dependencies in open-source ecosystems, AI-generated code vulnerabilities, and runtime protection mechanisms. Her work bridges theoretical security principles with industry-relevant applications. Recent publications reveal strong trends toward software supply chain security, with multiple 2024-2025 papers addressing vulnerability exploitability, malicious commit detection, and metrics-driven security control selection. Her research increasingly incorporates machine learning for threat detection while maintaining focus on human factors in secure development practices. IEEE Fellow (2018) National Science Foundation CAREER Award (2004) ACM SIGSOFT Influential Educator Award (2009) Multiple IBM Faculty Awards (2002-2012) NCSU Alumni Association Outstanding Research Award (2015-2016) Williams leads multiple major NSF-funded projects including the $5.7M SaTC Frontiers grant on secure software supply chains and the Science of Security Lablet with $3.6M in DoD funding. Her research emphasizes practical industry impact through collaborations with Cisco and Laboratory for Analytic Sciences. She actively mentors through the NCSU Research Leadership Academy and maintains significant educational outreach in software security. Her laboratory work centers on the Secure Computing Institute and Science of Security Lablet, where her team develops frameworks for vulnerability prediction, supply chain risk assessment, and secure development methodologies. Current projects focus on machine learning integrity, cognitive modeling for security decisions, and empirical analysis of build/deployment logs for anomaly detection.