Jason Hemann is an Assistant Professor of Computer Science in the Department of Mathematics and Computer Science at Seton Hall University. His research focuses on functional and logic programming DSLs, embeddings for logic programming in host languages, and the microKanren model, which has inspired over 150 implementations across 50+ languages. He also explores symbolic AI, program synthesis, and teaching-oriented languages. His research interests include logic programming extensions, typesafe embeddings of logic languages, and constraint systems. He teaches courses such as Introduction to Programming, Data Structures and Algorithms, and Software Engineering. Hemann has contributed to the design of relational programming frameworks and DSL implementations, emphasizing extensibility and educational applications. Recent work includes advancements in multi-stage relational programming, compiled DSLs, and systematic teaching language progressions. His publications span topics like constraint logic programming, program correctness proofs, and STEM outreach programs. Notable grants include the CRII: SHF grant supporting educational language frameworks. His work bridges foundational research with practical applications in programming languages and pedagogy.
Cristine H. Legare is a Professor of Psychology and Director of the Center for Applied Cognitive Science (CACS) at the University of Texas at Austin. Her research focuses on understanding how the human mind facilitates cultural learning, transmission, and evolution, with a particular emphasis on public health, education, child development, and cognitive science. She leads interdisciplinary initiatives bridging biological, cognitive, and social sciences to address global challenges in health and education. Her work examines cultural variation in cognitive development, including how rituals, explanations, and social interactions shape learning across ages and societies. Through partnerships like the Thinkery Connect museum-university collaboration, she designs interventions to enhance scientific thinking in informal learning environments. Additionally, her RISE Project in Bihar, India, explores ritual’s impact on healthcare provider behavior. Legare advocates for cross-cultural research equity, emphasizing diverse global participation in cognitive science. Her articles highlight themes such as ritual efficacy, school quality’s impact on academic achievement, and the interplay between cultural norms and cognitive development. She integrates human-centered design with social science to improve global health interventions and educational outcomes, reflecting her commitment to applied cognitive science’s societal relevance.
Hongpeng Zhou is a Dame Kathleen Ollerenshaw Fellow at the Department of Computer Science, University of Manchester. His research focuses on interpretable machine learning for cancer research, Bayesian deep learning, and bioinformatics. Previously, he was a postdoctoral researcher at the same university, developing ML algorithms for single-cell transcriptomics data. Education: PhD in Bayesian deep learning, Delft University of Technology (2018–2022) MEng in Control Science, Harbin Institute of Technology (2015–2017) BEng in Control Science, Harbin Institute of Technology (2011–2015) Research Interests: Dr. Zhou specializes in creating interpretable ML models for biological and engineering systems. His work bridges deep learning, Bayesian methods, and domain-specific applications like materials science, geotechnical engineering, and cancer genomics. Core themes include neural network compression, physics-informed learning, and unsupervised exploration of complex datasets. Publication Trends: Recent articles demonstrate interdisciplinary collaboration across computer science, bioinformatics, and mechanical engineering. Dominant themes include interpretable ML architectures, physics-informed neural networks, and applications in biomedicine/materials science, with emphasis on uncertainty quantification and real-world system optimization. Awards: Dame Kathleen Ollerenshaw Fellowship Projects & Advising: Leads the TICM R&D project on efficient 3D Gaussian splatting and co-investigates breast cancer prevention initiatives. Accepts PhD students and collaborates with groups like Prof. Magnus Rattray's bioinformatics team.
Sanglu Lu is a Professor in the Department of Computer Science at Nanjing University's School of Computer Science and Engineering. With over 400 publications spanning from 1998 to 2025, Professor Lu has established a significant research presence in mobile computing, edge computing, and wireless sensing technologies. Their work frequently appears in top-tier conferences including INFOCOM, IEEE Transactions journals, and AAAI. Professor Lu's research focuses on cutting-edge areas in computer science, particularly in edge AI systems, millimeter-wave and RFID-based sensing, graph neural networks, and time series analysis. Their work bridges theoretical advances with practical applications, often addressing resource-constrained environments and real-world deployment challenges. Recent publications show a strong emphasis on privacy-preserving sensing techniques, efficient model deployment at the edge, and multimodal approaches to human activity understanding. Analysis of publication trends reveals Professor Lu's work has evolved from traditional mobile networking topics toward more AI-centric research, particularly in the last five years. The research demonstrates strong interdisciplinary connections between networking, sensing, and machine learning, with increasing focus on practical applications in healthcare, accessibility technology, and industrial IoT systems. Publications consistently show collaboration with researchers across China and internationally, indicating an active research group and extensive professional network. Professor Lu has mentored numerous researchers as evidenced by the extensive publication record with various co-authors, though specific student names aren't detailed in the provided information. Their work has received significant attention in the research community, as reflected by the substantial number of publications in high-impact venues. Current research directions include innovative approaches to edge AI, advanced wireless sensing techniques using commercial hardware, and novel neural network architectures for time series and graph data. Professor Lu's laboratory appears to be actively working on real-world applications of these technologies, particularly in health monitoring, accessibility solutions, and industrial automation contexts.
Dr. Başak Aydemir is an Assistant Professor at the Department of Information and Computing Sciences , Faculty of Science, Utrecht University. She works in the Software Production Group , focusing on applying Natural Language Processing , Machine Learning , and Artificial Intelligence to Requirements Engineering problems. She obtained her Ph.D. from the University of Trento in 2016 and previously worked at Bogaziçi University (2018-2024) before rejoining Utrecht University. Software Development Requirements Engineering Conceptual Modeling Natural Language Processing Life Sciences Her research explores Requirements Engineering through NLP and AI, with recent work on Large Language Models for domain model generation, Robotic Tutors for interview training, and Creativity Techniques in requirements workshops. She investigates ethics-aware systems and multi-agent planning , emphasizing software quality and empirical validation. Recent publications span IEEE RE , REFSQ , and Empirical Software Engineering journals. Key trends include NLP-driven requirement analysis , interactive training systems , and gamified platforms for change management. She co-organized the AIRE 2024 and NLP4RE 2021 workshops. She teaches courses in Method and Model-Driven Engineering , contributes to Business Informatics programs, and is available at Room 5.82, Buys Ballot Building, Utrecht.
Bruce Oddson serves as Associate Professor in Laurentian University's School of Kinesiology and Health Sciences, where his interdisciplinary research bridges health psychology, rehabilitation science, and educational kinesiology. His work demonstrates consistent collaboration across medical, psychological, and outdoor education domains with primary focus on practical health outcome measurement. His academic foundation includes: B.A. (Hons) from University of Waterloo M.A. from University of Guelph Ph.D. in Psychology from University of Toronto Dr. Oddson's research spans exceptionally diverse territories including child communication development (notably through the FOCUS assessment system), wilderness immersion pedagogy, cognitive load management, and cerebral palsy rehabilitation. His approach integrates psychological principles with physical activity contexts, emphasizing real-world applications for wellness improvement. The FOCUS tool development represents a significant thread through his work, evolving from initial conception to validated outcome measurement. Analysis of his publication history reveals growing specialization in communication assessment tools while maintaining parallel investigations into adventure education and cognitive performance. Recent work shows increased methodological sophistication in longitudinal tracking and outcome validation, particularly in pediatric rehabilitation contexts. His 2022 wilderness immersion study exemplifies the Northern Ontario-focused, experiential learning orientation characteristic of Laurentian-based research. No scientific awards were documented in the source materials. While collaborative patterns indicate extensive research partnerships, specific information regarding graduate student supervision or grant funding mechanisms was not provided in available documentation. Operational details about dedicated laboratories or research teams were not specified, though his physical location at the B.F. Avery Physical Education Centre suggests integration with campus recreation and kinesiology facilities.
Dr. Victor Mittelstädt is a Post-doc Researcher at the Chair of Biological Psychology, University of Tübingen, where he investigates cognitive control mechanisms using behavioral and computational approaches. Affiliated with the Faculty of Science, his research bridges cognitive psychology, psychophysiology, and decision neuroscience. Education: Ph.D. in Psychology, University of Freiburg (2018) M.Sc. in Psychology, RWTH Aachen University (2015) B.Sc. in Psychology, University of Ulm (2012) Research Focus: His work centers on cognitive architecture in conflict tasks, including: Dynamic adjustments in distractor suppression and proactive control Neurocognitive mechanisms of task switching and voluntary action Computational modeling of aging effects on conflict processing Cross-modal transfer of cognitive control Awards & Fellowships: Feodor Lynen Research Fellowship (Humboldt Foundation) DAAD Research Grant Scholarly Contributions: He serves as a reviewer for 30+ journals including Journal of Experimental Psychology , Cognition , and Psychological Research , and evaluates grants for the German Research Foundation (DFG). His publications employ advanced methodologies like diffusion modeling and EEG to dissect cognitive processes.
Patrick Stefan Kermit is a Professor in the Department of Mental Health at the Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. He also holds a position as Researcher I at NTNU Social Research and serves as President of the Nordic Network of Disability Research. His office is located at MTFS, 4.402, Øya, and he can be reached at patrick.kermit@ntnu.no or by phone at 73412348. Professor Kermit's research focuses on disability studies, with particular emphasis on inclusive education, hearing impairment, and accessibility in social institutions. His work examines the experiences of people with disabilities across multiple domains including education, criminal justice, and employment. A recurring theme in his research is the examination of barriers faced by deaf and hearing-impaired individuals in various societal contexts, along with the development of strategies for improved inclusion. His scholarship bridges theoretical perspectives with practical applications, often employing qualitative methodologies to capture the lived experiences of people with disabilities. An analysis of his recent publications (2015-2021) reveals a consistent focus on accessibility challenges across multiple societal domains. His work spans education (particularly inclusive education settings for deaf children), criminal justice (barriers to access for deaf individuals), employment (employer attitudes toward hiring people with disabilities), and assistive technology (user experiences and symbolic meanings). The interdisciplinary nature of his research connects disability studies with education, linguistics, criminology, and rehabilitation science. A distinctive feature of his scholarship is the emphasis on user perspectives and the moral dimensions of inclusion. As President of the Nordic Network of Disability Research, Professor Kermit leads collaborative research efforts across Nordic countries. His work with NTNU Social Research involves practice-based investigations into marginalization, vulnerability, and coping strategies. While specific grant information isn't detailed in the available materials, his extensive publication record across multiple journals and book chapters indicates substantial research activity. His collaborations span numerous institutions and researchers across Norway and internationally, reflecting the collaborative nature of contemporary disability research.
Hans-Georg Fill is a full professor in business informatics at the University of Fribourg, where he leads the Digitalization and Information Systems Group within the Faculty of Management, Economics and Social Sciences. He plays a central role in the Smart Living Lab, a joint initiative of EPFL, HEIA-FR, and the University of Fribourg, focusing on digital transformation and information systems. Prior to his current role, he held academic positions at the University of Bamberg and the University of Vienna and was a visiting scholar at Stanford University, Karlsruhe Institute of Technology, and École Nationale Supérieure des Mines. Research Interests: His primary research lies in conceptual modeling, particularly meta modeling, semantic information systems, and the application of blockchain and smart contracts in enterprise contexts. He also investigates the integration of virtual and augmented reality into enterprise modeling and explores deviceless interaction with information systems. A growing focus of his recent work is the role of large language models (LLMs) in enhancing modeling processes, knowledge representation, and automated enterprise model generation. Publication Trends: His recent publications (2023–2025) reflect a strong emphasis on the intersection of AI and conceptual modeling. Key themes include the application of LLMs in modeling, blockchain-based modeling languages, augmented reality for enterprise systems, and semantic technologies. He frequently publishes in top-tier venues such as ER, CAiSE, EMISAJ, and HICSS, often in collaboration with PhD students and international researchers. Scientific Awards and Recognition: Nominated for Best Paper Award at HICSS'51 (2018) Nominated for Best Paper Award at Modellierung 2016 and 2018 LexisNexis Top 10 Paper Award nomination (2016) Advising and Grants: He advises numerous PhD and Master’s students, including Charuta Pande, Benedikt Reitemeyer, Fabian Muff, and Simon Curty. His research is supported through institutional affiliations and collaborative projects such as the Smart Living Lab. He has also contributed to editorial leadership as co-department editor of BISE and supporting editor-in-chief of EMISAJ. Labs and Teams: He leads the Digitalization and Information Systems Group at the University of Fribourg and is a key contributor to the Smart Living Lab, a multidisciplinary research environment focused on digital innovation in living spaces and enterprise systems.
Tom Perrin is Professor of English and Chair of the Department of Language, Literature, and Communication at Huntingdon College, where he also serves as Director of the Hobbs Honors Program and Academic Outreach. He chairs the College's Race and Justice Initiative, demonstrating leadership in both academic and social domains. His educational background includes advanced degrees from the University of Chicago and the University of Cambridge, with a focus on English Literature. He earned a B.A. and M.A. from Cambridge, followed by two M.A.s and a Ph.D. from the University of Chicago, and a PG.Dip. in Theatre Directing from Mountview Academy of Theatre Arts, London. Dr. Perrin's research centers on 20th-century American literature, particularly middlebrow fiction, modernism, and literary aesthetics. His work explores the cultural significance of popular novels, the intersection of high and mass culture, and the role of literature in vocational and personal development. He has published extensively in academic journals and edited collections, and his monograph The Aesthetics of Middlebrow Fiction is a key contribution to the field. His publications reveal a sustained engagement with literary form, cultural hierarchies, and the evolving role of the humanities in education. Themes of vocation, meaning, and justice recur across his scholarly and public writings, reflecting a commitment to connecting literature with broader societal concerns. The Aesthetics of Middlebrow Fiction: Popular US Novels, Modernism, and Form, 1945–75 (2015) “The Old Men and the ‘Sea of Masscult’” (American Literature, 2012) “Rebuilding Bildung” (Novel: A Forum on Fiction, 2011) “Vocation for Atheists” (blog, 2020) “One Way To Make College Meaningful” (NYT op-ed, 2019) Dr. Perrin has played a key role in curriculum development and academic leadership, including co-designing a new general education program, leading the honors program, and serving as associate provost. He has secured grant funding for the College’s SACSCOC Quality Enhancement Plan focused on vocation and calling, demonstrating success in academic administration and program development. He mentors students through the honors program and has likely advised numerous undergraduate researchers, though specific students are not listed. He leads the Race and Justice Initiative, fostering interdisciplinary collaboration among faculty, staff, and alumni to advance social justice at Huntingdon College. This initiative integrates academic, co-curricular, and alumni engagement, reflecting a holistic approach to institutional change.
Vadim Zaytsev is an Associate Professor of Software Evolution at the University of Twente, specializing in software analysis, modelling, and restructuring since 2004. He has previously worked as a Chief Science Officer, developing compilers and analyzing migration projects, and his past affiliations include institutions in the Netherlands, Belgium, Germany, and Russia. His work bridges academia and industry, focusing on industrially relevant research, teaching, and prototype software development. Research Interests: Software evolution and structure elicitation Domain-specific languages (DSL) and cyber-physical systems (CPS) Automated program repair using large language models Modernity signatures in programming languages (PHP, Python, C#, Rust) Educational software assessment (Apollo++ tool, BabyCobol) Grammarware and code transformation (CFG to VPG converter) Recent Article Trends: His 2025 work explores large language models for automated program repair (SAC, GPCE), while earlier studies (2024) focus on DSL-based CPS modelling, learning-by-doing assessment pipelines, and modernity signatures in programming languages. His research often involves collaboration with students and interdisciplinary groups like HMI at UTwente. Teaching and Practice: He supervises students in research projects, teaches the MSc course Software Evolution , and contributes to curriculum re-accreditation efforts. His practice includes open-source tools (GPL-licensed CFG to VPG converter) and conference leadership roles (Program Co-Chair for SLE 2025 and ICT.OPEN 2025).
Bastian Köpcke is a researcher at the Department of Computer Science, Westfälische Wilhelms-Universität Münster. His work focuses on parallel computing, GPU systems programming, and compiler design, with notable contributions to safe GPU language development (e.g., Descend) and optimizing high-performance numerical algorithms. He collaborates with Prof. Dr. Sergei Gorlatch on multiple research and teaching projects. Affiliation: Faculty of Mathematics and Computer Science Location: Einsteinstr. 62, Room 707, 48149 Münster Research interests include GPU architecture exploitation, compiler optimizations for parallel systems, and memory-safe programming models. His publications address tensor core utilization, FFT code generation, and distributed systems architecture. Teaching activities involve capstone projects on GPU algorithms, parallel programming, and compiler optimization, often co-taught with senior faculty. No explicit awards or grants are listed in the provided data.
Alexandra Christina is affiliated with the Department of German Language and Literature at the National and Kapodistrian University of Athens. Her work bridges computational linguistics, human-computer interaction (HCI), and political/journalistic text analysis. She specializes in natural language processing (NLP), sentiment analysis, terminology management, and multilingual applications. Her research focuses on extracting implicit information from spoken and written texts, with applications in medical chatbots, aircraft maintenance communication, and political discourse analysis. Notable projects include the 'Athena' medical chatbot, Gricean maxim modeling in NLP, and HCI design for international conferences. Key Areas: Generative AI, ethical AI frameworks, cross-lingual dialogue systems, and cognitive bias analysis in ancient/modern texts. Publications: Over 100 peer-reviewed articles since 2007, including works on terminology databases, HCI conference proceedings, and sentiment analysis platforms. Her recent work emphasizes socially responsible AI, integrating NLP with ethical guidelines, and leveraging crowd-sourced data for unspoken sentiment detection. She collaborates on multilingual terminology projects like TERMONLINE and CNCTST database initiatives.
Dr. Shichao Fang is a Researcher at King’s College London, affiliated with the Department of Basic & Clinical Neuroscience, School of Neuroscience, and King’s Institute for Artificial Intelligence. He collaborates with King’s College Hospital NHS Foundation Trust and Guy's and St Thomas' NHS Foundation Trust on applying AI techniques to medical informatics and epilepsy research. He holds a PhD in Computer Science from King’s College London. His research focuses on natural language processing, machine learning, and model-driven engineering applied to medical contexts. Specific interests include clinical text mining, large language models for healthcare data analysis, and epilepsy prediction through unstructured medical records. Recent work emphasizes extracting epilepsy-related information from clinical letters using LLMs, cross-modal clinical case retrieval, and software engineering tools for model transformations. His contributions bridge AI advancements with clinical practice, particularly in neurology. Awards: None explicitly listed. Advising/Grants: Collaborates with NHS Trusts on epilepsy research projects. No explicit grant details provided. Labs/Teams: Affiliated with King’s Institute for Artificial Intelligence and the Institute of Psychiatry, Psychology & Neuroscience.
Ben Greenman is a Researcher at Brown University , specializing in Gradual Typing , Formal Methods , and Programming Language Design . He has developed tools like Forge for teaching formal methods FlowFPX for floating-point exception debugging CnD for specification visualization His work bridges theoretical advancements and practical software engineering challenges. Research Trends: Recent publications focus on Temporal logic misconceptions (2024-2025) Gradual typing performance (2023-2025) Tool-driven formal methods education (2023) Language design for macro systems (2023) Numerical computation reliability (2023) Key Contributions: Unified deep/shallow type systems Blame assignment strategies Collapsible contracts Corpus studies for type analysis Visual debugging frameworks
