Hadi Esmaeilzadeh is an Associate Professor at the University of California, San Diego in the Department of Computer Science and Engineering . He leads the Alternative Computing Technologies (ACT) Laboratory and serves as Associate Director of the Center for Machine Integrated Computing and Security (MICS) . Previously, he was an Assistant Professor at Georgia Institute of Technology. Ph.D., Computer Science and Engineering, University of Washington (2013) Research focuses on computer architecture , machine learning acceleration , and approximate computing His work has produced 15+ publications spanning IEEE Micro Top Picks , CACM Research Highlights , and ISCA . Key projects include: Tabla : Cross-stack ML acceleration framework DnnWeaver : Open-source DNN acceleration platform Major honors include: IEEE TCCA Young Computer Architect Award ISCA Hall of Fame Qualcomm Innovation Fellowship Georgia Tech PURA Award Teaching roles: CSE 141: Introduction to Computer Architecture CSE 240D: Accelerator Design for Deep Learning CSE 240A: Principles of Computer Architecture
Joemon M Jose is Professor of Information Retrieval at the University of Glasgow's School of Computing Science. His research develops adaptive information retrieval systems, multimodal interaction techniques, and machine learning approaches for recommender systems and social media analysis. Current work explores reinforcement learning frameworks combined with large language models for recommendation, neural approaches to multimodal representation learning, and affective computing for engagement prediction. Recent innovations include LLM-driven policy optimization and transformer-based sequential recommendations. Contributions span personalized search, diversity-aware retrieval, and evaluation methodologies. Collaborative projects investigate cross-modal alignment, temporal query modeling, and fairness in information access systems.
Sidi Wu is a Researcher affiliated with ETH Zürich's Institute of Cartography and Geoinformatics. Their primary role is as Staff of the Professorship for Cartography, contributing to academic research and technical operations within the department. They are based at HIL G 23.2, Stefano-Franscini-Platz 5 in Zürich, Switzerland, and can be reached at sidiwu@ethz.ch. Research interests center on advancing AI-driven cartographic methods, historical map analysis, and environmental spatial dynamics. Specific focuses include generative AI applications in map-making, semantic segmentation of historical documents, and leveraging digitized maps for ecosystem studies. They also explore steganography in image translation and cross-domain adaptation techniques for geospatial data. Recent work emphasizes innovations in automated map storytelling systems, spatio-temporal context modeling using transformers, and weakly supervised learning approaches for map segmentation. Their studies frequently bridge cartography with environmental science disciplines like hydrology and urban morphology. No scientific awards or grants are explicitly listed in the provided information. While no advisees are documented here, their research collaborations likely involve student contributions. They are part of the core team at the Institute of Cartography and Geoinformatics, contributing to cutting-edge projects in geomatics and computational cartography.
Dr. Pavlos Tafidis is a Lecturer in Transport (Systems) Engineering at the School of Engineering, University of Edinburgh. His work integrates interdisciplinary approaches to advance transport planning and engineering, with a focus on smart and sustainable mobility solutions. PhD in Transport Engineering, Hasselt University (2022) M.Sc in Transport Planning, Aristotle University of Thessaloniki (2015) M.Eng in Transportation, Aristotle University of Thessaloniki (2013) He leads projects like "BikeHood" (Science Foundation of Ireland), developing Ireland’s first cycling neighborhood, and contributes to initiatives such as "REALLOCATE" (Horizon 2020) and "CISMOB" (Interreg Europe). His research emphasizes accessible mobility solutions, equity in transport infrastructure, and urban livability. Recent publications analyze cyclist crash hotspots using machine learning, electric bike route preferences via GPS data, and traffic-emission correlations in Dublin. His expertise spans digital twins, virtual reality, and geospatial analysis. Dr. Tafidis teaches courses including Transport Engineering 3, Transport and Society, and Multi-Scale Energy Demand, affiliated with the School of Engineering and Edinburgh Future Institute.
Jun Uchida is the Asian Cultures and Society Professor and Professor of History at Stanford University, holding dual appointments in the Department of History and the Center for East Asian Studies. His research focuses on modern East Asian history, Japanese colonialism, migration, and diaspora. He has served as Director of the Center for East Asian Studies (2016-2019) and currently leads the Asian Cultures and Society program. Uchida holds a Ph.D. from Harvard University and has held fellowships at institutions including the Weatherhead Center for International Studies and the Social Science Research Council. His current book project traces the transpacific diasporic activities of Ōmi merchants from Shiga Prefecture, examining their roles in Japan’s imperial expansion. Key research areas include Japanese settler colonialism, colonial Korea, and transnational migration patterns. Uchida has authored influential works like Brokers of Empire (2011), which won the John K. Fairbank Prize, and has contributed to journals such as the Journal of Japanese Studies and Past & Present . Education: Ph.D. in History, Harvard University (2001) M.A. in History, University of California, Berkeley (1996) B.A. in History, Cornell University (1995) Uchida’s teaching spans modern Japanese history, colonial studies, and transpacific themes. He advises doctoral candidates and chairs graduate admissions committees. His awards include the NEH Fellowship (2019-2020) and the Stanford Pattee Fellowship (2013-2014). He maintains active roles in professional organizations such as the American Historical Association and the Association for Asian Studies.
Hazel Rose Markus is the Davis-Brack Professor in the Behavioral Sciences at Stanford University's Department of Psychology within the School of Humanities and Sciences. With a distinguished career spanning decades, she has made significant contributions to cultural psychology and the understanding of how social contexts shape self and behavior. Her work bridges academic research and practical application through her role as Faculty Director of Stanford SPARQ. Markus received her B.A. from California State University at San Diego and her Ph.D. from the University of Michigan in Psychology. Her educational background laid the foundation for her groundbreaking work in cultural psychology. Her research focuses on the role of self in regulating behavior and how the social world shapes the self. She investigates people as culturally-shaped shapers of their cultures, examining how nation or region of origin, gender, social class, race, ethnicity, religion, and occupation shape thought, feeling, and action. Her work spans multiple domains including education, healthcare, workplace environments, and social policy. Analysis of her recent publications reveals a consistent focus on cultural frameworks, particularly examining independence-interdependence cultural models. Her research increasingly addresses social inequality, educational disparities, and systemic bias through empirical studies and intervention development. She has pioneered the Culture Cycle Framework for understanding and changing cultural patterns that perpetuate inequality. Member of the National Academy of Sciences Member of the British Academy Fellow of the American Academy of Arts and Sciences American Psychological Association's Distinguished Scientific Contribution Award Donald T. Campbell Award from SPSP APS William James Award for lifetime achievement Markus actively mentors doctoral students and postdoctoral scholars, with current advisees including Leslie Remache, Enna Chen, Ayo Dada, and Efrain Garcia Sanchez. She teaches courses including Graduate Seminar in Social Psychology Research, Intergroup Communication Facilitation, and Mind, Culture, and Society. As Faculty Director of Stanford SPARQ, she leads initiatives that partner with industry leaders to tackle disparities and inspire culture change in criminal justice, economic mobility, education, and health. Her laboratory work focuses on cultural psychology, examining how cultural contexts shape cognition, emotion, and behavior across diverse populations. Through SPARQ, she connects academic research with real-world applications to address societal challenges.
Ambuj Varshney is an Assistant Professor at the National University of Singapore (NUS) School of Computing , leading the WEISER research group . His work bridges electronics, wireless communication, computer science, and AI with a focus on creating ultra-low-power embedded systems for sustainable IoT deployments. University of California, Berkeley: Postdoctoral Scholar (2020-2022) Uppsala University: PhD in Sustainable Networked Systems NXP Semiconductors: Software Engineer (prior to PhD) Bachelors in Information & Communication Technology Research interests center on overcoming wireless systems' energy asymmetry through tunnel diode oscillators , LiFi-RF hybrid networks , and battery-free communication architectures . His group develops STICORS —sticker-like computers for industrial and medical monitoring. Recent publications demonstrate AudioCast 's FM-band utilization for 130m transmission, TunnelSense 's vital monitoring, and PixelGen 's diffusion model cameras. These works combine IoT sustainability, spectrum efficiency, and hardware innovation . 2024: Google Research Scholar Award 2023: MobiSys Best Demonstration 2021: Berkeley FORM+FUND Fellowship 2019: ABB's $300K Research Award As an educator, he teaches CS4222 Wireless Networking and CS5272 Embedded Software Design . Past students include Wenqing Yan (NUS/UCB PhD), Qiao Yukai , and Kunjun Li . His team collaborates with Prabal Dutta (UCB), Christian Rohner (Uppsala), and Prateek Saxena (NUS).
Martin Haspelmath is a Senior Research Scientist at the Department of Linguistic and Cultural Evolution at the Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, and an honorary (adjunct) professor at Leipzig University. His research focuses on comparative linguistics, language universals, and typology, particularly in syntactic and morphological systems. He co-edited the World Atlas of Language Structures (2005/2013) and co-founded Language Science Press . Education: PhD in Linguistics, Freie Universität Berlin (1990–1993) MA in Linguistics, University of Cologne and University at Buffalo (1985–1989) Undergraduate studies in Linguistics, University of Vienna (1983–1985) Research Interests: Haspelmath investigates global grammatical diversity, form-function correspondences, and universals in syntax, morphology, and lexical systems. His work emphasizes comparative concepts for cross-linguistic analysis and critiques traditional grammatical categories. Grants & Projects: ERC project leader at Leipzig University (2015–2020) Co-creator of Grambank , an open-access database of grammatical structures Leading initiatives for open-access publication and linguistic data sharing Labs/Teams: Active in the MPI's Department of Linguistic and Cultural Evolution, collaborating on projects like APICS (Atlas of Pidgin and Creole Language Structures) and ValPal (Valency Patterns Leipzig).
Jonathan A. Kelner is a Professor of Applied Mathematics in the Department of Mathematics at the Massachusetts Institute of Technology (MIT) and a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on applying techniques from pure mathematics to solve fundamental problems in algorithms and complexity theory, with the goal of developing practical algorithms for real-world questions. Dr. Kelner received his undergraduate degree from Harvard University and his Ph.D. in Computer Science from MIT in 2006. Before joining the MIT faculty, he spent a year as a member of the Institute for Advanced Study. His educational background has provided a strong foundation for his interdisciplinary research spanning mathematics and computer science. His research interests include combinatorial optimization, mathematical programming, spectral graph theory, distributed computing, machine learning, computational geometry and topology, computational biology, signal processing, and random matrix theory. Kelner's work demonstrates how deep theoretical insights can lead to practical algorithmic improvements, particularly in graph algorithms and optimization problems. His approach often involves connecting seemingly disparate areas of mathematics to create novel algorithmic techniques. Analysis of his recent publications reveals a strong focus on spectral graph theory, optimization algorithms, and the Sum-of-Squares method. His work frequently addresses fundamental questions in theoretical computer science with practical implications for algorithm design. A notable trend in his research is the development of nearly-linear-time algorithms for various graph problems, which represents significant improvements over previous approaches. NSF CAREER Award Alfred P. Sloan Research Fellowship NEC Award for Research in Computers and Communication Sprowls Doctoral Dissertation Award Best Student Paper Award at STOC 2004 Best Paper Award at STOC 2011 Kokusai Denshin Denwa Junior Faculty Chair 2008 Harold E. Edgerton Faculty Achievement Award 2011 School of Science Award for Excellence in Undergraduate Education 2012 Professor Kelner has been actively involved in mentoring students and has received recognition for his teaching excellence, including the School of Science Award for Excellence in Undergraduate Education in 2012. His research has been supported by prestigious grants including the NSF CAREER Award. He has collaborated extensively with researchers across multiple institutions, often working with other leading figures in theoretical computer science to produce groundbreaking results in algorithm design. At MIT, Kelner is part of both the Mathematics Department and CSAIL, positioning him at the intersection of theoretical mathematics and practical computer science. This dual affiliation reflects the interdisciplinary nature of his work, which bridges pure mathematical theory with concrete algorithmic applications.
Ian Horrocks is a Professor of Computer Science at the University of Oxford and a Fellow of Oriel College. His research focuses on knowledge representation, description logics, automated reasoning, and semantic web technologies. He has held academic positions at the University of Manchester (2003–2007) and served as Chief Scientist at Cerebra Inc. (2001–2006). Horrocks earned his BSc (1st class), MSc, and PhD in Computer Science from the University of Manchester (1981–1997). His work includes foundational contributions to ontology languages (e.g., OWL) and reasoning systems such as HermiT and ELK. He has supervised over twenty doctoral students and postdoctoral researchers. His honors include Fellowships from the Royal Society (2011), ECCAI (2009), and the British Computer Society (2005). He serves as Editor-in-Chief of the Transactions on Graph Data and Knowledge and leads initiatives in semantic web standards and knowledge graph applications. Key Roles: Editor-in-Chief (Journal of Web Semantics), Co-Chair (W3C OWL Working Group) Grants: EPSRC Senior Research Fellowship (2005), numerous international collaborations Labs: Oxford Semantic Technologies, involvement in projects like RDFox and PAGOdA
Juan Zhai is an Assistant Professor in the Manning College of Information and Computer Sciences (CICS) at the University of Massachusetts Amherst. She co-directs the Laboratory for Advanced Software Engineering Research (LASER) and is a member of the UMass NLP group. Her research advances software engineering through automated techniques for building high-quality systems with emphasis on behavioral specifications, AI safety, and trustworthy AI. Her work addresses the fundamental challenge of aligning software behavior with intended specifications through two main directions: automated specification synthesis (translating natural language comments to formal specifications via tools like C2S and LLMCup) and defect detection/repair (developing frameworks for AI system testing, bias mitigation, and training diagnostics). Her vision integrates these into end-to-end assurance systems that continuously validate, repair, and audit evolving software in dynamic environments. Recent publications (2024-2025) reveal dominant trends at the software engineering/AI intersection: formal specification synthesis for IoT and code generation, comment maintenance using LLMs, deep learning framework testing (DevMuT, Citadel), bias detection in LLMs, and automated training repair (AutoTrainer, DREAM). These contributions appear in top venues including ICSE, FSE, ASE, ISSTA, and ACL. Professor Zhai currently advises PhD student Gehao Zhang (focusing on Software Engineering and AI Safety) and actively recruits new PhD/Master's students. Her LASER lab develops practical tools for specification inference, LLM-driven synthesis, and trustworthy AI, while collaborating with the UMass NLP group on language-centric software analysis. The LASER lab, co-directed by Zhai, pioneers techniques for behavioral specification enforcement across traditional and AI-powered systems. Key projects include CPC for bidirectional code-comment analysis, ModelMeta for deep learning framework testing, and frameworks for bias mitigation across the ML lifecycle. The lab emphasizes practical, scalable tools that enhance correctness, robustness, and fairness in critical AI applications.
Conor Ryan is a Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a Science Foundation Ireland-funded Investigator since 2002 and a member of multiple research centres including Lero – the Irish Software Research Centre and the Limerick Digital Cancer Research Centre. His research focuses on Genetic Programming, Grammatical Evolution, and their applications in domains like healthcare analytics, digital circuit design, and financial modeling. He has authored over 250 publications, with recent work emphasizing automated feature selection in medical diagnostics, neural architecture search, and blockchain ecosystems. Teaching includes courses on Foundations of Computer Science and Computer Games Programming. Research interests span evolutionary computation, machine learning, and interdisciplinary applications. Collaborations involve global institutions, reflecting his work's impact across computer science, engineering, and healthcare. His research has addressed challenges in breast cancer diagnosis via genetic algorithms, cryptocurrency volatility prediction using random forests, and automated generation of digital circuits. Ongoing projects explore interpretability in AI, energy-efficient computing, and sustainable transport systems through predictive analytics. Professional memberships include roles in the Centre for Research Training in Foundations of Data Science and the Data-Driven Computer Engineering Research Centre, underscoring his commitment to interdisciplinary innovation.
Jeremy Rau is a Professor of Linguistics and Classics at Harvard University's Department of Linguistics, part of the Faculty of Arts and Sciences. He currently serves as Director of Graduate Studies for Fall 2024 and is on leave for Spring 2025. His office is located in Boylston Hall, Cambridge, MA. Rau specializes in Greek and Latin historical linguistics with a particular focus on Homeric language, Indo-European linguistic systems, and Indo-Iranian comparative studies. His research explores ancient language structures, verb morphology, and diachronic phonological changes in pre-classical texts. Research Interests: Proto-Indo-European root analysis Mycenaean Greek linguistic features Homer's language and epic conventions Indo-Iranian comparative linguistics Verb derivation mechanisms Publications reflect deep engagement with ancient language structures, including studies on Mycenaean contract verbs, Homeric noun inflections, and Proto-Germanic lexicon. He has contributed to journals like Die Sprache , Glotta , and Historische Sprachforschung , as well as edited volumes such as Verba Docenti . Administratively, Rau oversees graduate programs and participates in departmental governance. His work bridges historical linguistics with philological scholarship, emphasizing systematic analysis of ancient language data.
Lucia Binotti is a Professor of Spanish and Digital Humanities at the University of North Carolina at Chapel Hill (UNC-CH), with dual affiliations in the Department of Romance Studies and interdisciplinary Digital Humanities initiatives. She serves as Graduate Advisor for Hispanic Linguistics and Director of the Honors Study Abroad Program in Rome. Her work bridges traditional philology with cutting-edge digital scholarship, emphasizing immersive learning experiences through virtual reality (VR) and augmented reality (AR) technologies. Binotti holds a Ph.D. from UC Santa Barbara (1990), an MA (1985), and a BA (1984) in Romance Philology from the Università degli Studi di Pisa. Her research focuses on linguistic identity, cultural heritage preservation, and innovative educational platforms like Amirabilia—the world’s first experiential learning platform. Notable projects include nXimena (healthcare training for Latinx abuse survivors) and Entiendelo (a linguistic/cultural navigation app for Latinx communities). Her scholarly interests span Early Modern Spanish literature, digital humanities applications, and the intersection of technology with social justice. She has directed grants totaling over $500K for projects involving AR/VR integration in education, including collaborations with the UNC Health Science Library and NCSU’s DELTA initiative. Recent awards include the John K. Walsh Award (2010) and Digital Innovation Fellow status (2014). Grants & Leadership: CFE-Lenovo Technology Grants (2018–2019) for AR/VR expansion iLRN 2020 International Co-Chair XR Faculty Learning Community Leader (UNC) Teaching: Courses span from introductory Hispanic literature to advanced topics like medieval intellectual history and digital humanities methodologies. Binotti’s work emphasizes ‘place, presence, and perspective’ in Cyber-Humanities education, particularly addressing marginalized communities through technology-driven solutions.
Dr. Rajesh Sharma is an Associate Professor in the School of Global, Urban and Social Studies (GUSS) at RMIT University, Melbourne, Australia. He specializes in Dispute Resolution, Investment Arbitration, and International Trade Law. His research focuses on arbitration laws in Asia, WTO-related issues, and mediation innovations. He holds a PhD in Law from China's Chinese University of Political Science and Law, complemented by degrees from Monash University and the University of Delhi. Dr. Sharma has advised governments and transnational companies on trade policies and has conducted trainings in over 20 countries. He is a winner of the ADR Teacher Award 2022 in Australia. His professional roles include: Associate Editor of the Manchester Journal of International Economic Law Editorial Board member of China and WTO Review and Asia-Pacific Mediation Journal Member of ICC Australia National Committee and Singapore Convention preparation He has designed unique moot competitions, including the Asia-Pacific Vis Pre Moot, promoting disability inclusion in legal advocacy. His current projects include a book comparing China-India investment laws and commentary on the Singapore Convention. Dr. Sharma's service engagements include roles as Panel Arbitrator for the Shanghai Arbitration Commission and leadership in organizations like the Hong Kong Basic Law Education Association.
