Mike Treanor is Associate Professor and Chair of Computer Science at American University, where he co-founded the Game Center. His research develops new computational approaches to meaning-making in games and interactive media. Education: Ph.D. in Computer Science, UC Santa Cruz M.S. in Computer Science, UC Santa Cruz M.F.A. in Digital Arts and New Media, UC Santa Cruz His work intersects game design, AI, and computational art, with focus areas in procedural content generation, social simulation, interactive narrative tools, and expressive game generation systems. Current projects explore ethical AI integration and player experience modeling. Publications demonstrate consistent innovation in game AI systems, particularly in social simulation architectures and procedural content generation, with evolving focus on large language model integration in recent work. He teaches courses including Game Programming, Computational Art, Game Prototyping, and Interactive Narrative at undergraduate and graduate levels, developing specialized curricula that integrate technical and creative frameworks for game development.
Barrie Robison is a Professor and Director of the Idaho Informatics & Bioinformatics Initiative (IIDS) at the University of Idaho. He holds a primary appointment in the Department of Biological Sciences within the College of Science. His research focuses on the genetic architecture of complex traits in fish, including studies on rainbow trout and zebrafish, with an emphasis on genomic analysis of behavioral variation and locally adaptive phenotypes. Robison also leads the Robison Lab and co-founded Polymorphic Games, an on-campus commercial game studio exploring educational and scientific applications of game mechanics. His work bridges evolutionary biology, genomics, and computational biology, often integrating experimental and computational approaches. Research Interests: Robison investigates how genomic variations influence behavioral and physiological traits in aquatic organisms. Key areas include the genetic basis of bold/shy behavioral syndromes in zebrafish, evolutionary responses to environmental stressors, and applications of genomics to fisheries management. His lab employs cutting-edge technologies like genomic surveillance and CRISPR-based editing to study adaptive traits. Key Projects: The Polymorphic Games initiative demonstrates his interdisciplinary approach, applying evolutionary principles to game design while fostering student entrepreneurship. His recent work includes genomic studies of SARS-CoV-2 transmission dynamics at universities and investigations into antibiotic resistance mechanisms in zebrafish microbiomes. Awards: While no specific awards are listed, his contributions to zebrafish genomics and innovative educational technologies reflect significant scholarly impact. Robison has advised multiple interdisciplinary projects, including NSF-funded studies on behavioral adaptation in fish. His lab collaborates with institutions globally, emphasizing open-source tools and data-sharing in bioinformatics.
Jennifer Jacobs is an Assistant Professor at the University of California, Santa Barbara (UCSB), affiliated with both the Media Arts and Technology (by primary appointment) and Computer Science (courtesy) departments. She directs the Expressive Computation Lab and is part of the Center for Visual and Interactive Computing. Her research focuses on integrating computational tools with traditional art, design, and craft practices to enhance manual-digital fabrication workflows. Jacobs holds a PhD from MIT's Media Lab and has postdoctoral experience at Stanford University. Education: PhD in Media Arts & Sciences (MIT), MFA (Hunter College), BA (University of Oregon). Research interests span computational art/design, human-computer interaction, and systems engineering. Notable projects include developing systems like Millipath for surface texture fabrication, Knotation for macramé design, and CoilCAM for clay 3D printing. She also investigates ethical AI frameworks rooted in cultural heritage and Black community archives. Her work has been showcased at venues like SIGGRAPH, CHI, and DIS, earning awards such as the NSF Early CAREER Award and Best Paper distinctions. Jacobs teaches courses on computational fabrication and expressive technologies, emphasizing hands-on learning. Her lab collaborates with craft professionals and educational institutions to bridge creative practices with computational methods.
Prof. Dr. Christof Wolf holds the Chair of Social Structural Analysis at the University of Mannheim's Faculty of Social Sciences. His research focuses on social inequality, health, social networks, and religion, approached through a structural lens. He collaborates with the Mannheim Centre for European Social Research (MZES) and GESIS – Leibniz Institute for the Social Sciences. His work emphasizes methodological advancements in data collection and analysis, particularly in open science frameworks. Research interests span interdisciplinary topics including the interplay between social structures and individual well-being, quantitative methodologies, and the application of computational tools to sociological inquiry. His team explores innovative approaches to social science research, leveraging advanced data analysis techniques. Publications highlight expertise in multimedia systems, adaptive streaming, and serious games for educational and therapeutic purposes. Collaborations with technical institutions reflect a commitment to bridging social science and computational research. He actively contributes to teaching, developing interactive learning scenarios and leveraging mobile technologies for classroom engagement.
Gema Vallejo Pérez is a Professor at the University of León, where she holds a permanent faculty position in the Faculty of Law, Department of Private and Business Law. Specializing in Roman Law, she is an active member of the DERECONSULE Constitutional Law Research Group and contributes to legal scholarship through interdisciplinary approaches. Academic Background: Doctorate (2011): "La protección de la legalidad urbanística en el Principado de Asturias" supervised by Dr. Francisco Sosa Wagner and Dr. Mercedes Fuertes López Doctorate (2018): "Bases romanísticas de la mediación como expediente intrajudicial y extrajudicial de resolución de conflictos y su proyección en el derecho actual" supervised by Dr. María José Bravo Bosch Research Focus: Her work centers on Roman Law foundations for modern mediation systems, gender dynamics in historical legal contexts, and innovative legal education methodologies. She pioneers gamification techniques like escape rooms for teaching Roman marriage law and develops "educational pills" for digital knowledge dissemination across age groups. Publication Trends: Recent works (2022-2025) reveal dual trajectories: legal scholarship on mediation in family/labor contexts and urban planning, alongside unexpected medical publications in pediatric resuscitation and oncology. This divergence suggests either interdisciplinary collaboration beyond her core field or data contamination in source materials, though her primary contributions remain firmly rooted in legal studies. Professional Impact: As an educator, she designs competency assessment frameworks for university teaching and advocates for gender-inclusive legal pedagogy. Her research group affiliation demonstrates commitment to constitutional law development within Spain's academic landscape. Operational Context: Based at the University of León, she bridges historical legal analysis with contemporary dispute resolution mechanisms, maintaining active involvement in thesis supervision and curriculum innovation despite absence of documented awards or specific grant details in available records.
Svjetlana Ivanovic is an Associate Professor in Intellectual Property and Industrial Property Law at the Faculty of Law, University of East Sarajevo. She holds a doctoral degree from the University of Kragujevac and has been a faculty member since 2007, specializing in copyright law, digital environment challenges, and AI legal implications. She teaches subjects like Intellectual Property Law and Information Society in postgraduate programs. Dr. Ivanovic has authored/co-authored multiple publications, including a textbook on civil law and papers on topics like text and data mining under EU law, AI-generated works, and inheritance of copyright. She actively participates in legal drafting committees for intellectual property laws and is a member of professional associations like the Association of Lawyers of the Republic of Srpska. Her research focuses on modern legal challenges in digital spaces, balancing copyright with free expression, and adapting traditional legal frameworks to emerging technologies. She serves in English and Russian and has presented at international conferences on transformative technologies and legal ethics.
Christian Dorner is a Professor of Mathematics Education and Head of Studies at the Department of Mathematics Education, Pädagogische Hochschule Steiermark. His work focuses on procedural knowledge development, financial mathematics in education, and student perspectives in mathematics teaching. He leads curriculum design initiatives and assessment frameworks for secondary mathematics education. Research interests include: Procedural knowledge measurement and deficiencies Integration of technology in mathematics classrooms Financial literacy education Student-centered lesson analysis Recent work emphasizes cross-national comparisons of financial education systems and the role of technology in procedural skill development. His research often involves collaborative projects with Austrian secondary schools and teacher communities. Notable contributions include the AmadEUs project analyzing classroom dynamics from student perspectives, and curriculum materials like 'Mathematik verstehen' series integrating GeoGebra tools. His work bridges theoretical educational research with practical classroom implementation.
Jerry Talton is an Assistant Professor in the Siebel School of Computing and Data Science at the University of Illinois at Urbana-Champaign (UIUC). He holds a PhD in Computer Science from Stanford University (2011), and BS and MS degrees from UIUC (2003 and 2006, respectively). His research focuses on computer graphics, machine learning, and human-computer interaction, with notable work on emoji-first communication, rating systems analysis, and data-driven design tools. Key contributions include the Opico study on emoji communication in social apps and the Bricolage algorithm for web design transfer. He received the Siebel School Young Alumni Achievement Award (2022). His work spans academic collaborations with institutions like Stanford and industry applications in social media and design. Research interests emphasize user interaction, algorithmic ranking, and leveraging big data for design automation. His publications address challenges in social networks, fluid simulation, and educational outreach through initiatives like Scavenger Hunt, enhancing student retention in computer science.
Chang Hoon Lee serves as Associate Professor of Civil & Environmental Engineering at Western New England University's College of Engineering, with additional affiliation in Biomedical Engineering. He co-directs the Engineering Fundamentals Program and maintains active research in cement-based materials science. His educational background includes: Ph.D. from Cornell University M.S. from Korea University B.S. from Korea University Professor Lee's research centers on fundamental properties of cementitious materials, with emphasis on chemical/mechanical property transitions, multi-scale characterization techniques, probabilistic assessment of structural performance, and sustainability impacts from temperature/moisture variations. His work bridges laboratory characterization with practical engineering applications to enhance concrete durability and performance prediction. His publication record (2015-2020) reveals consistent focus on concrete behavior through maturity methods, aggregate morphology analysis, and early-age setting characterization. Key contributions include ultrasonic testing applications, 3D particle geometry modeling, and refinement of ASTM C403 standards for setting behavior assessment. Professor Lee maintains active collaboration with industry through field testing protocols and serves as Co-Director of the Engineering Fundamentals Program, though specific grant details or student advisement information is not publicly documented.
Shekoufeh Kolahdouz Rahimi is a researcher affiliated with the Centre for Research in Arts and Creative Exchange under the School of Arts, Humanities, and Social Sciences . Her work bridges academic disciplines through innovative research collaborations and publications. Research Focus: Integration of Large Language Models (LLMs) into software engineering practices, including Agile methodologies, Model-Driven Engineering (MDE), and formal verification of BPMN models. Conference Contributions: Active participation and organization in workshops like Agile MDE 2024 and Agile MDE 2025, with peer-reviewed publications in CEUR Workshop Proceedings. Academic Leadership: Peer-review roles for journals like Frontiers in Computer Science , and supervision of PhD research initiatives. Publication Trends: Recent work highlights the application of LLMs to automate tasks in software requirement engineering, game development, and MDE workflows. Her research emphasizes interdisciplinary collaboration, combining computational methods with creative arts frameworks.
Amy Cyphert is an Associate Professor at the West Virginia University College of Law, where she has established herself as a leading scholar at the intersection of artificial intelligence and law. A Morgantown native, she graduated from Carnegie Mellon University in 2001 as a Truman Scholar and earned her J.D. cum laude from Harvard Law School in 2005. Her educational background includes: B.A., Carnegie Mellon University, 2001 (Truman Scholar) J.D., Harvard Law School, 2005 (cum laude) Professor Cyphert's research focuses on the legal and ethical implications of artificial intelligence, particularly in the areas of generative AI, algorithmic decision-making in criminal justice, and copyright law. She has developed and teaches courses on Artificial Intelligence and the Law, including specialized instruction on Regulating AI, Civil Procedure, and related subjects. Her work explores how AI systems affect legal practice, regulatory frameworks, and societal structures. Her scholarly output demonstrates a clear trajectory from foundational work on education law and criminal justice to increasingly sophisticated examinations of AI's impact across multiple legal domains. Recent publications reveal deep engagement with medical AI applications, patent law implications, and the fundamental question of how legal systems should respond to rapidly evolving AI technologies. Her interdisciplinary approach connects technical AI developments with concrete legal challenges. Her notable recognition includes: Privacy Papers for Policymakers Award from the Future of Privacy Forum (2021) Professor Cyphert has received significant scholarly impact through citations by multiple courts, including the U.S. Court of Appeals for the 9th Circuit, Eastern District of New York, and several state courts. Her work bridges theoretical scholarship with practical legal application, as evidenced by her frequent presentations at national conferences and media engagements. She has collaborated extensively with colleagues across disciplines, particularly on AI-related research with Professor Sean Tu and others. As Director of ASPIRE at WVU from 2010-2024, she demonstrated leadership in academic programming while maintaining an active research agenda. Her professional trajectory from law clerk for Judge Laura Taylor Swain in the Southern District of New York to litigation associate at WilmerHale before joining academia reflects a career grounded in practical legal experience that informs her scholarly work.
Saurabh Vishnubhakat is a Professor of Law and Director of the Intellectual Property and Information Law Program at Cardozo School of Law, Yeshiva University. He also serves as a Research Fellow at Duke Law Center for Innovation Policy and a Senior Scholar at George Mason University’s Center for IP and Innovation Policy. His work bridges intellectual property, administrative law, and federal litigation with an empirical focus, examining how the U.S. IP system interacts with courts, agencies, and technology markets. Education: B.S., Georgia Institute of Technology J.D. and LL.M., UNH Franklin Pierce School of Law Research Interests: His studies explore patent inconsistency, copyright administrative processes, and strategic litigation tactics in dual PTAB-district court cases. His work has been cited in federal judicial opinions, agency regulations, and over 30 Supreme Court and Federal Circuit briefs. Affiliations & Media: He previously held joint appointments as Professor of Law and Engineering at Texas A&M University. Media features include analyses in Politico , Wall Street Journal , and WIRED , addressing topics like TikTok’s Supreme Court case and patent policy impacts on generic drug entry.
Ramon Canal Corretger is a Full Professor in the Department of Computer Architecture at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He previously served as Vice Dean of Postgraduate Studies at FIB and leads the VirtuOS (Virtualization and Operating Systems) research group. His work bridges computer architecture, hardware security, and system-level reliability. Doctorate from UPC, co-supervised at the University of Wisconsin-Madison Sabbaticals at Harvard University (2006–2007) and the University of Cyprus (2019–2020) Active leadership in EU-funded projects such as Vitamin-V (Horizon Europe) His research focuses on microarchitecture, processor and memory design, reliability under variability, and security at the hardware-software interface. He explores low-power multicore architectures, virtualization optimizations, and secure RISC-V-based systems. His recent work integrates AI for intrusion detection and privacy-preserving federated learning in fog computing environments. The most recent publications demonstrate a strong trend toward security, reliability, and trustworthy computing , particularly in RISC-V ecosystems and cloud/edge infrastructures. There is increasing emphasis on hardware-software co-design , attack detection via performance monitoring , and energy-efficient secure accelerators using emerging technologies like neuromorphic and photonic computing. Scientific Awards: HiPEAC Paper Awards (2017, 2010) IEEE Senior Member (2016) Fulbright Award (2006) IBM Faculty Award (2000) Best Student Paper at HPCA-6 (2000) Multiple teaching excellence recognitions from UPC and AQU Catalunya First Prize in Epson Foundation Rosina Ribalta Award (2001) He has advised several PhD students including Manish Rana, Zoran Jaksic, and Shrikanth Ganapathy, many of whom received honors such as the Intel Doctoral Student Programme recognition. His research is supported by competitive grants from the Spanish government, EU Horizon programs, and industry collaborations. He is actively involved in the design of secure, reliable, and efficient computing systems for future cloud and embedded applications. He leads the VirtuOS research group, which focuses on virtualization, operating systems, and hardware-software interface optimization. The group contributes to open-source RISC-V initiatives and participates in large-scale European R&D projects targeting trustworthy computing infrastructures.
Dr. Ielka van der Sluis is a Senior Lecturer at the Department of Communication and Information Science, Faculty of Arts at the University of Groningen since 2011. She holds a PhD in Computational Linguistics from Tilburg University (2005) and has held research positions at Trinity College Dublin (2008–2011), the University of Aberdeen (UK), and the University of Twente. Her research focuses on human communication, multimodal interaction, natural language generation, and affective computing. She is a member of the Center for Language and Cognition Groningen and has contributed to projects like TUNA (EPSRC-funded), the OLIVE EC project, and the PAT framework for multimodal instruction analysis. Her work bridges computational linguistics and human-computer interaction, emphasizing the design and evaluation of multimodal systems. She has explored topics such as cross-linguistic referring expression generation, affective text impact, and procedural instruction design. Key contributions include developing the PAT annotation model for multimodal instructions and investigating cross-cultural assessment of automated referring expressions in virtual environments. Her research history spans over two decades, with impactful contributions to the understanding of text-picture alignment in procedural instructions, action categorization in multimedia, and user-centric evaluation frameworks. She collaborates internationally, particularly in computational linguistics and next-generation localization technologies.
Daniel Brown is an Assistant Professor at the University of Utah's Robotics Center and School of Computing . Previously, he completed a postdoc at UC Berkeley (2020–2022) and earned his PhD in Computer Science at UT Austin in 2020 under Scott Niekum . He leads the Aligned, Robust and Interactive Autonomy (ARIA) Lab , focusing on human-robot interaction and AI safety. Research interests include: Robot learning under uncertainty Reward inference from human input Robust policy optimization Bayesian reward inference High-confidence performance bounds Assistive AI systems Awards : NIH Trailblazer Award (2024) RSS Pioneer (2021) Teaching : CS 5955/6955 Advanced Artificial Intelligence (Spring 2025) CS 6300 Artificial Intelligence (Spring 2024) CS 5960/6960 Human-AI Alignment (Fall 2023)
