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Percy Shuo LiangView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• Artificial Intelligence
• +5 more

Percy Shuo Liang is an Associate Professor of Computer Science and Courtesy Associate Professor of Statistics at Stanford University. He directs the Center for Research on Foundation Models (CRFM) and is affiliated with Human-Centered Artificial Intelligence (HAI), the Artificial Intelligence Lab, and the Natural Language Processing Group. His research focuses on foundational aspects of machine learning, natural language processing, and reproducible research methodologies. He co-developed CodaLab Worksheets, a platform for experiment reproducibility, and leads the Marin community for open foundation model development. Education: B.S. (2004) and MEng (2005) in Electrical Engineering and Computer Science from MIT, advised by Michael Collins. Ph.D. (2011) in Computer Science from Berkeley under Michael Jordan and Dan Klein. Postdoctoral researcher at Google (2012). Research interests include foundation models, copyright challenges in AI, data weighting strategies, model interpretability, and ethical AI. Over 30 students and postdocs have been advised, many now holding prestigious academic and industry roles. Awards include the Presidential Early Career Award (2019), Sloan Fellowship (2015), and ACM ICPC World Finals 2nd place (2002). Labs/Teams: CRFM, HAI, AI Lab, NLP Group, Machine Learning Group. Notable contributions include CodaLab Worksheets and Marin platform. Active in programming contests and piano competitions (KDFC Classical Star Search winner, 2008).

David RodriguesView profile

Assistant Professor

• Gastrointestinal Motility Disorders
• Disorders of Gut-Brain Interaction
• Medical Education

Dr. David Rodrigues is an Assistant Professor in the Division of Gastroenterology, Department of Medicine at Queen’s University. He also serves as the Program Director for the Gastroenterology Residency Training Program. His clinical and academic interests focus on gastrointestinal motility disorders (e.g., achalasia, gastroparesis), disorders of gut-brain interaction (e.g., functional dyspepsia, IBS), and medical education. Education includes medical school and internal medicine residency at the University of Toronto, followed by gastroenterology training at Queen’s University. He completed an advanced fellowship in neurogastroenterology and motility at the University of Toronto, and holds a Master of Science in gastrointestinal physiology (Queen’s University) and a Master of Health Science Education (McMaster University). His recent research publications span materials science topics such as corrosion mechanisms in stainless steels, hydrogen embrittlement in titanium alloys, and microstructural analysis of shape memory alloys. These studies highlight interdisciplinary engagement with metallurgical and engineering challenges. No scientific awards, grants, or formal advisees are explicitly listed. His professional activities include roles in residency program leadership and medical education innovation.

• Electronics
• Semiconductor Devices
• Integrated Circuits
• +3 more

Felice CRUPI is a Full Professor of Electronics at the University of Calabria since 2018, with prior roles as Associate Professor (2002-2018). He leads the Electrical Characterization of Semiconductor Devices section at the Nanoelectronics and Microsystems Laboratory (NML) and coordinates international collaborations with institutions like IMEC, IBM, and Purdue University. Education: PhD in Electronic Systems Engineering (University of Florence, 2001), MS in Electronic Engineering cum Laude (University of Messina, 1997) Research Interests focus on CMOS device reliability , low-frequency noise modeling , 2D material applications in electronics, and power-efficient circuits . His work spans device characterization, GaN/SiC power electronics, and hardware security through PUFs. Grant Leadership includes major European projects like GaN4AP (GaN power applications), Five2D (2D integrated electronics), and REACTION (SiC pilot lines). He has secured funding for radiation-hard memory design and international collaborations. Scientific Awards : Best paper, IEEE Ecuador Technical Chapters Meeting (2018) Best paper, IEEE International Conference on Microelectronics (2008) IEEE Senior Member (since 2014) Academic Service includes editorial roles (IEEE Transactions on Device and Materials Reliability), conference organization (INFOS 2021 General Chair), and PhD supervision of >10 students. He has taught internationally in Ecuador, China, Finland, Belgium, and Spain.

Victoria StenbäckView profile

Associate Professor

• Cognitive Psychology
• Educational Psychology
• Hearing Impairment
• +5 more

Victoria Stenbäck is an Associate Professor at Linköping University's Department of Behavioural Sciences and Learning, specializing in the Division of Education, Teaching and Learning (PEDI). Her research focuses on cognitive processes like working memory and executive functions in auditory contexts, particularly speech recognition in noise. She also investigates psychosocial aspects of education for children with hearing impairments and post-COVID educational challenges. Her work bridges cognitive psychology, audiology, and educational science. Recent studies explore fluid intelligence's role in speech processing and the impact of digital teaching methods on student inclusion. Collaborations include the Swedish Institute for Disability Research and the Linnaeus Centre HEAD. Key contributions span academic journals and conferences, addressing topics such as self-report vs. behavioral measures in audiology and teacher-student learning dynamics post-pandemic. She actively engages in educational policy discussions regarding digital learning environments.

Bernard DelleyView profile

Researcher

• Density Functional Theory
• X-ray and Neutron Spectroscopies
• Semiconductor Devices
• +4 more

Bernard Delley is a Senior Scientist at the Paul Scherrer Institute's Laboratory for Theoretical and Computational Physics, specializing in computational approaches to material science and spectroscopy. His research spans Density Functional Theory, X-ray spectroscopy, semiconductor devices, and multiplet theory. Dr. Delley has made significant contributions to computational physics through the development of the DMol3 code and investigations into electronic structures of complex materials. His awards include fellowship distinctions from the American Physical Society and American Association for the Advancement of Science, along with the prestigious Seymour Cray Prize in Scientific Computing. Current research explores crystal-field multiplet computations and semiconductor device modeling, with ongoing collaborations in materials characterization and spectroscopy.

Pavan AduriView profile

Professor

• Artificial Intelligence
• Machine Learning
• Data Science
• +4 more

Pavan Aduri is a Professor and Interim Department Chair at Iowa State University's Department of Computer Science. His research focuses on theoretical computer science, computational complexity, algorithms, and machine learning. Key interests include statistical similarity estimation, submodular optimization, and probabilistic inference. He has contributed significantly to topics like #P-completeness, data stream processing, and fairness in optimization. His work spans algorithm design, computational hardness analysis, and applications in data science. Notable publications address total variation distance estimation, forgetting mechanisms in data streams, and monotone k-submodular maximization. He has explored connections between model counting and distinct element estimation in streams. Aduri's recent work (2023-2025) emphasizes geometric rounding techniques, Sperner's lemma variants, and algorithmic approaches to probabilistic inference. His research often bridges foundational theory with practical algorithmic challenges in machine learning and big data analysis. No scientific awards are explicitly listed, but his extensive publication record reflects sustained academic contributions.

Percy LiangView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• Foundation Models
• +4 more

Affiliations Associate Professor at Stanford University's Computer Science Department within the School of Engineering. Director of the Center for Research on Foundation Models (CRFM) and core member of Stanford HAI . Also affiliated with the Artificial Intelligence Lab, Natural Language Processing Group, and Machine Learning Group. Education Ph.D. in Computer Science, UC Berkeley (2011), advisors: Michael Jordan and Dan Klein MEng in Computer Science, MIT (2005), advisor: Michael Collins B.S. in Computer Science, MIT (2004) Research Focuses on foundational aspects of AI, including: Foundation models and their societal implications (e.g., copyright, data attribution) Building scalable and interpretable AI systems Reproducible research via CodaLab Worksheets Formal methods for ensuring correctness in ML systems Key Contributions Pioneered work in: Automated reasoning for Olympiad-style problems Data Programming framework for rapid dataset creation Executable papers and experiment reproducibility AI ethics and model interpretability Grants & Awards Presidential Early Career Award (2019) IJCAI Computers and Thought Award (2016) Microsoft Research Faculty Fellowship (2014) Multiple patents and industry collaborations Labs & Teams Leads the CRFM team developing open foundation models. Collaborates with industry (e.g., Google, Meta, OpenAI) and co-founded xAI initiatives. Active in open-source projects like sfig for presentation tools.

• Psychological Assessment
• Child Development
• Attention Deficit Hyperactivity Disorder (ADHD)
• +3 more

Dr. Robert Whitaker is an Associate Professor of Psychology at Gallaudet University's School of Human Services and Sciences. He holds a Psy.D. from Philadelphia College of Osteopathic Medicine and has over 20 years of experience as a school psychologist specializing in deaf/hard-of-hearing populations. His expertise includes neuropsychological assessment, ADHD, and cognitive-behavioral interventions. He teaches courses such as Biological Psychology: Brain & Behavior and Neuroanatomical Foundations of Neuropsychology . His research focuses on applying neuropsychological approaches in deaf education settings, with presentations on topics like elaboration effects on sign language memory tasks. Professional memberships include National Association of School Psychologists and American Board of School Neuropsychology. Outside academia, he maintains a private practice conducting psychological evaluations and enjoys outdoor activities like running and fishing.

• Psychological Assessment
• Child Development
• Attention Deficit Hyperactivity Disorder (ADHD)
• +3 more

Dr. Robert Whitaker is an Associate Professor in the Department of Psychology at Gallaudet University, specializing in School Psychology. He holds a Psy.D. from the Philadelphia College of Osteopathic Medicine and has over 20 years of experience as a school psychologist serving deaf/hard-of-hearing students. His academic roles include teaching courses on psychological assessment, neuropsychology, and ethical professional practice. Education: B.S. Psychology (St. Francis University), M.A. Developmental Psychology & Specialist in School Psychology (Gallaudet University), Psy.D. School Psychology (Philadelphia College of Osteopathic Medicine) Research focuses on neuropsychological approaches to school psychology, ADHD, executive functions, and cognitive-behavioral interventions for deaf students. He has presented nationally on topics like elaboration effects in sign language memory and behavioral management strategies. Professional service includes roles in the American Psychological Association and National Association of School Psychologists. He maintains a private practice conducting psychological evaluations and advises graduate students in school psychology programs.

• Soft Materials
• Responsive Polymers
• Self-Healing Materials
• +8 more

Dr. Mokarram Hossain is an Associate Professor in Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. His research focuses on soft polymeric and functional materials, including responsive gels, self-healing materials, and their applications in renewable energy and biomechanics. He has secured grants for energy harvesting projects and collaborates extensively on magneto-active polymers and 3D printing of soft materials. Research interests span experimental mechanics, computational modeling, and material characterization. Key areas include hydrogel dynamics, magneto-mechanical coupling, and bio-inspired soft robotics. His work integrates numerical methods (e.g., finite element analysis) with material science, addressing challenges in low-carbon energy systems and smart materials. Notable contributions include studies on hydrodynamic complexity in polymers, magneto-rheological elastomers, and thermal-viscoelastic behavior of materials. Collaborations span academia and industry, emphasizing renewable energy applications and sustainable manufacturing. His publications highlight innovations in composite materials and advanced computational frameworks for coupled electromechanical systems.

Luca BecchettiView profile

Associate Professor

• Algorithms
• Graph Theory
• Network Science
• +7 more

Luca Becchetti is an Associate Professor in the Department of Computer, Automatic, and Management Engineering at Sapienza University of Rome, where he has been a core faculty member since 2012. He holds a PhD and M.Sc. in Computer Engineering from the same institution and has been actively contributing to research in algorithms and network science. PhD in Computer Engineering, Sapienza University of Rome, 1998 M.Sc. in Computer Engineering, Sapienza University of Rome, 1995 His research focuses on the design and analysis of algorithms for NP-hard and online optimization problems, with a strong emphasis on network design and resource allocation. More recently, his work has evolved to include large-scale information network analysis, such as the Web and Internet. Current research directions involve distributed graph clustering using spectral graph theory, modeling of complex systems, and pioneering applications in Network Medicine through advanced graph mining and spectral techniques. He is a member of research groups in Computer Networks and Pervasive Systems, Algorithms and Data Science, and the Theory of Deep Learning. His recent publications span areas of opinion dynamics, network medicine, and distributed algorithms, demonstrating a trend toward interdisciplinary research combining theoretical computer science with biological and social network applications. Key themes include synchronization in minority dynamics, robustness in opinion models, and multi-omics integration for disease gene prediction. He has been involved in significant research projects including the EU FET-OPEN COSIN, EU IST APPOL II, and the National FIRB WEBMINDS. While no formal list of advisees is provided, he supervises students in algorithms and data science. He teaches courses such as Big Data Computing and Web Information Retrieval. Luca Becchetti is affiliated with the Algorithm Engineering group and the Department of Computer, Automatic, and Management Engineering (DIAG), where he leads research in distributed algorithms and network analysis.

Ning Xu LandénView profile

Senior Lecturer

• Wound Healing
• Skin Biology
• Non-coding RNA
• +6 more

Ning Xu Landén is a Senior Lecturer (Docent) at Karolinska Institutet, leading the Skin Wound Healing Research Group within the Department of Medicine, Solna. Her research focuses on decoding the molecular logic of skin repair and radiation injury to develop next-generation therapies. She has established herself as a leading researcher in the field of wound healing, with particular expertise in non-coding RNA biology and single-cell genomics. Karolinska Institutet, Senior Lecturer (2022-present) Karolinska Institutet, Docent in Experimental Dermatology (2017) Established research group as Assistant Professor (2014) Postdoctoral research at Karolinska Institutet (2009-2013) Dr. Xu Landén's research spans four interconnected themes: building molecular atlases of human wound healing using single-cell and spatial transcriptomics; investigating regulatory RNAs in skin repair; developing RNA-based regenerative therapies; and studying radiation memory and late tissue injury. Her work has identified key non-coding RNA regulators of wound healing and revealed how radiation creates epigenetic memory in skin cells that impairs healing in cancer survivors. Analysis of her most recent publications reveals a strong focus on single-cell genomics approaches to understand wound healing at unprecedented resolution, with particular emphasis on non-coding RNA networks including microRNAs, long non-coding RNAs, and circular RNAs. Her research increasingly integrates multi-omics approaches to identify therapeutic targets for chronic wounds and radiation-induced tissue damage. LEO Foundation Award for outstanding contributions to dermatology research Dr. Xu Landén leads a dynamic research group with multiple PhD students, postdoctoral researchers, and collaborators. Her group has secured significant funding from the Swedish Research Council, Cancerfonden, Ragnar Söderbergs Foundation, Welander and Finsens Foundation (Hudfonden), LEO foundation, and Karolinska Institutet. Her research bridges fundamental discovery with clinical applications, with a focus on translating RNA discoveries into novel treatments for hard-to-heal wounds. The Skin Wound Healing Research Group maintains an active research platform that integrates molecular biology, advanced genomics, and direct access to patient materials. Their work has led to the development of an interactive wound atlas that serves as a community resource for exploring human wound biology.

Christian ForlerView profile

Professor

• IT Security
• Cryptography
• Hash Functions
• +4 more

Prof. Christian Forler is a Professor of Operating Systems at Berlin University of Applied Sciences, Department of Computer Science and Media. He specializes in IT security, cryptography, and operating systems with a focus on GNU/Linux. His research includes password hashing (e.g., Catena), authenticated encryption (e.g., POET/POEx), and cryptographic protocol design. He actively participates in international competitions like the Password Hashing Competition and CAESAR. He teaches courses on operating systems, algorithms, and network security. Education: Not explicitly listed but inferred through research contributions. Research interests span IT security fundamentals, including cryptographic primitives, memory-hard functions, and secure communication protocols. His work emphasizes practical implementations and robustness against attacks. He contributes to open-source libraries like libstring and maintains a lab affiliation with the Pervasive Systems Engineering (PSE) Lab. Publications focus on authenticated encryption schemes, password security, and cryptographic algorithm analysis. He has authored over 20 papers in leading conferences and journals since 2008. Awards: None explicitly mentioned. Advising involves guiding students in thesis topics related to his research areas. Teaching includes programming courses in C and Java, with a focus on real-time systems and security. Labs/Teams: Member of the PSE Lab, contributing to applied systems engineering research.

Shafi GoldwasserView profile

Professor

• Cryptography
• Theoretical Computer Science
• Computational Complexity
• +7 more

Shafi Goldwasser is a prominent computer scientist holding dual appointments as the RSA Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) and as a Professor of Computer Science and Applied Mathematics at the Weizmann Institute of Science in Israel. Her groundbreaking work has fundamentally shaped modern cryptography and theoretical computer science, earning her numerous prestigious awards including the ACM A.M. Turing Award in 2012 (shared with Silvio Micali). Dr. Goldwasser received her B.S. in Mathematics from Carnegie Mellon University (1979), followed by an M.S. (1981) and Ph.D. (1984) in Electrical Engineering and Computer Science from the University of California at Berkeley. Her academic career at MIT began with a Bantrel Postdoctoral Fellowship in 1983, followed by positions as Assistant Professor (1983-1987), Associate Professor (1987-1992), and Professor (1992-present). She also serves as Co-Leader of MIT's Cryptography and Information Security Group (1995-present) and has held a parallel appointment at the Weizmann Institute since 1993. Goldwasser's research has revolutionized theoretical computer science and cryptography through several landmark contributions. She pioneered the concept of zero-knowledge proofs, which allow one to prove the validity of a statement without revealing any information beyond the statement's truth. Her work with Micali on probabilistic encryption established the now-standard definitions of security for encryption and digital signatures. Goldwasser also made fundamental contributions to interactive proofs, multi-prover systems, probabilistically checkable proofs (PCPs), and property testing. Her research has not only transformed cryptography into a rigorous mathematical science but has also had profound implications for computational complexity theory. Analysis of her publication record reveals consistent innovation across decades, with major contributions spanning from foundational work in the 1980s (zero-knowledge proofs, probabilistic encryption) through to contemporary research on delegated computation, code obfuscation, and side-channel attack resistance. Her work consistently bridges theoretical computer science and practical cryptographic applications. ACM A.M. Turing Award (2012) ACM Athena Lecturer Award (2008) Two SIGACT Gödel Prizes (1993, 2001) ACM Grace Murray Hopper Award (1996) RSA Award in Mathematics (1998) Franklin Institute Benjamin Franklin Medal (2010) IEEE Emanuel R. Piore Award (2011) Memberships in all three major US National Academies As an advisor, Goldwasser has mentored numerous graduate students, with Johan Håstad being noted as her first exceptional doctoral student. Her research group at MIT has been instrumental in advancing the field of cryptography and theoretical computer science. Recent work has focused on delegated computation, code obfuscation, and protection against side-channel attacks, addressing emerging challenges in cloud computing and information security. Outside of her academic pursuits, Goldwasser is known to practice "Playback Theater," an improvisational interactive group experience, reflecting her interest in creative expression beyond computer science.

Wolfram NitschView profile

Professor

• French Literature
• Spanish Literature
• 20th Century Literature
• +8 more

Wolfram Nitsch is a Professor of Romance Literature at the University of Cologne's Romanesque Seminar, where he has established himself as a prominent scholar in French and Spanish literary studies. His academic work spans multiple continents and languages, with particular expertise in 20th-21st century French literature, Spanish Siglo de Oro works, and Argentine modern literature. Nitsch maintains an active teaching schedule offering courses on French cinema, literature and games, French philosophy of postmodernity, and Spanish language mediation. Nitsch's research interests form a rich interdisciplinary tapestry, with his primary focus on the intersection of space, movement, and media in literary contexts. His work explores how transportation systems shape narrative structures , how urban wastelands function as imaginative spaces , and how technological developments influence literary representation . Through his extensive publications, he has developed innovative approaches to understanding the relationship between physical movement and narrative progression, particularly examining how trains, automobiles, and other vehicles serve as both literal and metaphorical devices in literary works. His publication output reveals a consistent research trajectory focused on spatial analysis in literature , with particular attention to French modernism and Argentine narrative traditions. Nitsch has produced significant scholarship on Claude Simon, Marcel Proust, and various aspects of Spanish Golden Age literature, while also maintaining strong connections to contemporary Latin American writers. His work demonstrates how transportation technologies have fundamentally shaped literary form and content across different historical periods and cultural contexts. Nitsch currently leads the DFG-funded research project Terrain vague: Aesthetics and poetics of urban spaces in French modernism , which examines the representation of urban wastelands and transitional spaces in French literature. His academic collaborations span multiple countries, with frequent publications in both German and Romance languages, reflecting his truly international scholarly perspective.