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Thomas HofmannView profile

Professor

• Machine Learning
• Deep Learning
• Natural Language Understanding
• +3 more

Prof. Dr. Thomas Hofmann is a Full Professor and Head of the Department of Computer Science at ETH Zurich since 2014. He also leads the Institute for Machine Learning. His research focuses on machine learning, deep learning, natural language understanding, and text understanding. Hofmann holds a Ph.D. from the University of Bonn (1997) and has held academic positions at Brown University (1999–2004) and TU Darmstadt. He transitioned to industry as Director of Engineering at Google (2006–2014), leading the Zurich R&D center, before returning to academia. He co-founded Recommind (2000) and 1plusX (Swiss marketing tech company), currently serving as Chief Scientist and board member at 1plusX. Education: Ph.D. in Computer Science, University of Bonn (1997) Postdoctoral Work: MIT (CBCL/AI Lab), UC Berkeley (EECS/ICSI) His research explores advanced machine learning techniques, including diffusion models, generative adversarial networks, and optimization dynamics. Hofmann’s entrepreneurial ventures reflect his focus on applying AI to real-world challenges, such as e-discovery and marketing technology. His work spans theoretical contributions (e.g., neural network training dynamics, continual learning) and applied innovations (e.g., image editing, portrait generation). Hofmann actively bridges academia and industry, influencing both research and commercial AI applications.

Karthik R. NarasimhanView profile

Professor

• Language Agents
• Reinforcement Learning
• Natural Language Processing
• +3 more

Karthik R. Narasimhan is a Professor at Princeton University's School of Engineering and Applied Science in the Department of Computer Science. Previously, he earned his PhD from MIT under Regina Barzilay and served as a visiting research scientist at OpenAI during 2017-18. His research focuses on the intersection of language and decision-making, building autonomous agents that learn from both experience and human knowledge. His research spans multiple high-impact areas including language agents (Text-DQN, CALM, ReAct, Tree of Thoughts), reinforcement learning (h-DQN, Multi-Objective RL), and AI safety (Toxicity in ChatGPT, DataMUX). He has developed critical datasets and benchmarks such as WebShop, InterCode, SWE-bench, and SILG that have become standard evaluation tools in the field. Current work emphasizes agent capabilities, software engineering automation, and multimodal interaction. His publication trends show strong focus on practical agent deployment (SWE-agent, Tree of Thoughts), safety evaluation (Probing AI Safety), and efficiency improvements (DataMUX). Recent work increasingly addresses real-world challenges in software engineering, security, and human-AI collaboration through rigorous benchmarking. Co-author of foundational GPT (2018) paper Key developer of Text-DQN (2015), CALM (2020), ReAct (2022), Tree of Thoughts (2023) Creator of influential benchmarks: WebShop (2022), SWE-bench (2023), InterCode (2023) He actively advises students through Princeton's computer science program, with research supported by multiple grants focused on autonomous agent development and language-based decision systems. His GitHub repositories (nlp-datasets, text-world-player) demonstrate strong community engagement in open-source research tools. Current projects include advancing language agent capabilities through Reflexion (2023) and Tree of Thoughts (2023) frameworks while addressing critical safety and efficiency challenges.

Nathan MartinView profile

Associate Professor

• History of Music Theory
• Musical Form Analysis
• Jean-Philippe Rameau Studies
• +3 more

Nathan Martin is an Associate Professor of Music Theory at the University of Michigan, School of Music, Theatre & Dance. He joined in 2015 after postdoctoral fellowships at Columbia, Harvard, Katholieke Universiteit Leuven, Hochschule für Musik Freiburg, and Yale. He holds a PhD from McGill University’s Schulich School of Music (2009). His research focuses on the history of music theory and musical form analysis, particularly the works of Jean-Philippe Rameau and their reception among Enlightenment thinkers like Jean-Jacques Rousseau. He integrates intellectual history with practical analytical methods, emphasizing both contextual and emic perspectives. Recent interests include adapting empirical social science and linguistics methods to study musical form. Key publications include articles on Rameau’s harmonic concepts, Rousseau’s musical writings, and global music theory history. His 2014 article on Rameau’s supposition/suspension theories earned the Society for Music Theory’s Outstanding Publication Award. He co-edited Formal Functions in Perspective (2015) and served as co-editor of Music Theory & Analysis until 2019. Professional highlights include the Edward T. Cone Membership at the Institute for Advanced Study (2018–2019) and a 2023 visiting researcher role at the Max Planck Institute for Empirical Aesthetics. His work bridges historical analysis with contemporary empirical approaches, fostering interdisciplinary dialogue in music theory.

Nick MontfortView profile

Professor

• Digital Media
• Electronic Literature
• Computational Poetry
• +3 more

Nick Montfort is a Professor of Digital Media at Massachusetts Institute of Technology (MIT) and Professor II & Principal Investigator at the University of Bergen 's Center for Digital Narrative. He directs MIT's Trope Tank lab/studio and contributes to platform studies, critical code studies, and electronic literature. Ph.D. in Computer and Information Science from University of Pennsylvania (2007) M.A. in Creative Writing (Poetry) from Boston University (2001) S.M. in Media Arts and Sciences from MIT (1998) B.S./B.A. in Computer Science and Liberal Arts from University of Texas at Austin (1995) Montfort's research focuses on computational creativity and digital poetics , particularly through exploratory programming and constraint-based writing . He has developed over ten computer-generated print books and co-edited MIT Press volumes like The Future and The New Media Reader . His work bridges computer science and literary arts , emphasizing algorithmic expression and platform-specific creation. His recent computational works include All the Way for the Win (2025), written entirely in three-letter words, and collaborations like The Deletionist and Sea and Spar Between . Notable books cover interactive fiction ( Twisty Little Passages ), platform studies ( Racing the Beam ), and generative literature ( 10 PRINT ). He also co-edits the Hardcopy and Using Electricity book series. Montfort's academic contributions span digital narrative systems , creative code , and computer-generated literature . His 101 BASIC Poems and Output: An Anthology of Computer-Generated Text exemplify his focus on code as cultural artifact and algorithmic literary practice . He has presented at major conferences including ELO, C&C, and Digital Arts and Culture, addressing topics from minimalist computational poems to narrative modeling . Through collaborations with institutions like University of Bergen and MIT's Comparative Media Studies/Writing, Montfort explores digital storytelling , machine-generated poetry , and platform-specific creativity . His academic leadership includes directing the Trope Tank and co-founding Bad Quarto press.

Martin VolkView profile

Professor

• Computational Linguistics
• Machine Translation
• Natural Language Processing
• +5 more

Martin Volk is a Full Professor of Computational Linguistics at the University of Zurich, with a dual affiliation to the Department of Informatics since 2019. He holds a PhD from the University of Koblenz and has held academic positions at institutions including Stockholm University (part-time from 2008-2011), Zurich University of Applied Sciences, and the University of Georgia. His research focuses on grammar engineering, machine translation evaluation, multilingual text analysis, and cross-language information retrieval. Education : Born in Cochem, Germany Studied Computer Science and Computational Linguistics at EWH University, Koblenz Master's in Artificial Intelligence at the University of Georgia (Fulbright Scholar) PhD in Computational Linguistics from the University of Koblenz Research Interests : His work emphasizes data-driven NLP methods, including corpus-based approaches, parsing technologies, and the application of machine learning to historical and multilingual texts. Key focuses include: Machine translation systems and evaluation frameworks Grammar testing environments (e.g., GTU) OCR and digitization of historical documents (e.g., Gothic script) Development of parallel corpora for linguistic research Projects : SMULTRON: Multilingual parallel treebank project Bullinger Digital: Historical document digitization initiative Text+Berg: Digital Humanities project for alpine textual heritage EU-funded MuchMore (cross-language medical IR) Grants & Collaborations : Recipient of grants from the Swiss National Science Foundation, EU projects, and industry partnerships (e.g., Siemens, Xerox). His work integrates academic and industrial perspectives in NLP tool development. Labs & Teams : Leads research teams in the Institute of Computational Linguistics at UZH, focusing on projects like the Zurich Parallel Corpus Collection and MODERN (modeling discourse for MT).

Farhad MerchantView profile

Assistant Professor

• Hardware Security
• Neuromorphic Computing
• Algorithm-Architecture Co-design
• +3 more

Dr. Farhad Merchant is an Assistant Professor of Innovative Computer Architecture at the Bernoulli Institute, University of Groningen, since July 2024. Previously, he served as a Lecturer (Assistant Professor) at Newcastle University (2022–2024) and held research roles at Bosch Research, NTU, and RWTH Aachen University. His research focuses on emerging technology-based computing and hardware-oriented security, including neuromorphic architectures, in-memory computing, and secure hardware design. Education: PhD in Electronics Engineering from the Indian Institute of Science, Bangalore, with a DAAD-funded visit to RWTH Aachen University. He also holds industry experience from Bosch Research. Research Interests : - Hardware Security - Neuromorphic Computing - Algorithm-Architecture Co-design - Reconfigurable Computing - Computer Arithmetic Projects : - Coordinator for the REACT project (2025–2029): Focuses on self-aware neuromorphic architectures. - Principal Investigator for Privacy-Preserving Computer Architectures (CogniGron, 2025–2029). - Completed BioNanoLock project (DFG-funded, focusing on bio-nanoelectronic security). Awards : - Best Paper Awards at ISQED 2022, NEWCAS 2023, and VLSI-DAT 2024. - Minerva Fellowship (Technion, Israel), HiPEAC Technology Transfer Award (2019). He co-founded the SeHAS workshop (since 2019) and serves on editorial and program committees for major conferences like DAC, ISLPED, and VLSI-SoC.

• Computational Linguistics
• Natural Language Processing
• Multilingual Models
• +7 more

Malvina Nissim is a leading researcher in computational linguistics and NLP at the University of Groningen's Department of Artificial Intelligence, with a focus on multilingual modeling, bias mitigation, and human evaluation frameworks. Key Contributions : Developed CALAMITA (Italian LLM benchmark), IT5 models for Italian language processing, and ReproHum framework for NLP evaluation reproducibility Research Pillars : Multilingual reasoning consistency, perspective-based text analysis, and figurative language modeling Her work spans activation steering techniques, cross-lingual transfer learning, and the creation of specialized language resources like the EurekaRebus dataset and MAGPIE idiom corpus. She pioneered methods for gender bias measurement in BERT and developed the SocioFillmore tool for perspective visualization. Recent publications explore model uncertainty as MCQ difficulty proxy, Italian headline generation benchmarks, and multilingual multi-figurative language detection. She actively participates in teaching initiatives like the "NLP with Bracelets" workshop for Italian high school students. Scientific Awards : ACL Best Paper Award (2025) EMNLP Outstanding Reviewer (2023) EVALITA Leadership Recognition (2024) She advises PhD students in model bias analysis and has contributed to the development of the Dutch Abusive Language Corpus (DALC) and the ReproNLP reproducibility framework. Her collaborations span institutions in Italy, Netherlands, and international NLP communities.

Paul GarnerView profile

Assistant Professor

• Coach Development
• Sport Coaching
• Player Development
• +7 more

Dr Paul Garner is an Assistant Professor in Sport Coaching and Player Development at the School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham. He holds a Doctorate of Sport and Exercise (2023), an MSc in Sports Coaching (2013), and a BA (Hons) in Sport Science & French (1996). He is internationally recognized for his research and applied work in coach development. Doctorate of Sport and Exercise – 2023 MSc Sports Coaching – 2013 BA (Hons) Sport Science & French – 1996 Paul Garner's research centers on the interpersonal and relational dimensions of coaching, focusing on intra- and inter-personal knowledge, leadership, culture development, and the intentions behind coaching behavior. His work supports coaches and coach educators through evidence-based frameworks and practical interventions. He has contributed significantly to modules in sport coaching and professional practice at the university level. His recent publications reveal a strong trend toward person-centered coaching, leadership in coach education, and the role of communities of practice in informal and collaborative learning environments. These works span disciplines including sport science, coaching psychology, and educational theory, with a consistent focus on improving coaching quality and effectiveness. While no formal scientific awards are listed, his editorial work and sustained engagement with national sports bodies reflect professional recognition. Paul has advised and collaborated with major organizations such as the British Association of Snowsport Instructors (BASI), British Equestrian Federation, GB Rowing, Table Tennis England, PGA, and England Lacrosse. These partnerships aim to drive excellence in coach education, development, and assessment across diverse sports. He also brings practical experience as a former member of the British Alpine Skiing Demonstration Team, having served as a performer, coach, coach developer, and assessor. He is actively involved in research and teaching, with a focus on enhancing coaching practice through both formal and informal learning pathways. His work bridges academic inquiry and real-world application in national coaching systems.

• Instructional Design
• Educational Technology
• Computing Education
• +7 more

Marisa Exter serves as Associate Professor of Learning Design and Technology within Purdue University's Department of Curriculum and Instruction since 2020, following promotion from Assistant Professor (2013-2020). With 15+ years of software design and development experience, she holds dual expertise in Computer Science (BS/MS) and Instructional Systems Technology (PhD). Her educational foundation includes: PhD in Instructional Systems Technology, Indiana University (2011) MS in Computer Science, Illinois Institute of Technology (2003) BS in Computer Science, Elmhurst College (1999) Dr. Exter's research pioneers transdisciplinary educational innovation , focusing on how design processes transform technology-creation fields like Instructional Design, Computing, and Engineering. She investigates formal and non-formal learning experiences to enhance undergraduate education through interdisciplinary programs, while simultaneously examining online graduate program structures that support adult learners' connection to faculty and peers. Her work integrates heutagogical principles for lifelong learning and rigorously documents design successes/failures through scholarly design cases. Analysis of her 15 most recent publications reveals accelerating focus on dispositional development in computing professions , competency-based curriculum models, and transdisciplinary experience design. Her methodological evolution includes increased use of Q methodology and collaborative autoethnography to capture diverse perspectives in educational innovation. As Purdue PI for a $3M multi-institutional computing competencies grant and co-coordinator of AECT's Summer Research Symposium, she drives national curriculum reform. Her mentorship approach cultivates the Exploring Disruptive Education research family group, which investigates interdisciplinary design processes across technology-rich learning environments. Professional service spans Computing Curriculum 2020 Task Force leadership and ACM/AERA membership. The Exploring Disruptive Education research collective she co-leads operates as an interdisciplinary incubator for educational innovation. This team examines how design thinking transforms learning experiences through technology integration, with particular emphasis on creating connections between formal education and industry practices in computing and engineering fields.

Taylor JohnsonView profile

Associate Professor

• Formal Verification
• Cyber-Physical Systems (CPS)
• Artificial Intelligence
• +7 more

Taylor Johnson is an Associate Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. He directs the Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL) and serves as a Senior Research Scientist in the Institute for Software Integrated Systems. Previously, he was an Assistant Professor at the University of Texas at Arlington from 2013 to 2016. His research focuses on formal verification techniques for cyber-physical systems (CPS), emphasizing safety, reliability, and security through hybrid systems, formal methods, and control theory. He has published extensively on neural network verification, earning best paper awards and recognition from IEEE, IFIP, and ACM. Education: Ph.D., Electrical and Computer Engineering (University of Illinois at Urbana-Champaign, 2013) M.Sc., Electrical and Computer Engineering (University of Illinois at Urbana-Champaign, 2010) B.S.E.E., Electrical and Computer Engineering (Rice University, 2008) Research Interests: Formal verification of neural networks and CPS, safety-critical systems, autonomous systems, and AI/ML security. His work bridges theoretical foundations (e.g., hybrid systems) with practical applications in aerospace, energy systems, and robotics. Key Contributions: Developed the NNV tool for neural network verification, led the Verification of Neural Networks Competition (VNN-COMP), and pioneered techniques for robust federated learning and malware detection. Awards: AFOSR YIP Award (2016), NSF CRII Award (2015), and multiple best paper honors. His research is funded by AFRL, NSF, Intel, NVIDIA, and industry partners. Labs & Collaborations: VeriVITAL Lab (Vanderbilt), collaborations with United Technologies Research Center, Boeing, and Toyota.

Keshab AcharyaView profile

Associate Professor

• CEO Activism
• Strategic Leadership
• Corporate Governance
• +3 more

Dr. Keshab Acharya is an Associate Professor of Management and Organization at Central Connecticut State University (CCSU), contributing to academic leadership through teaching and research. He holds a PhD in Business Administration from the University of Texas Rio Grande Valley (2020), an MBA in Finance from Pokhara University, and a Bachelor’s in Physics from Tribhuvan University. His work bridges strategic leadership, corporate governance, and ethical responsibility. Education: PhD in Business Administration, University of Texas Rio Grande Valley, 2020 MBA in Finance, Pokhara University Bachelor of Science in Physics, Tribhuvan University Research Focus: Dr. Acharya’s research interrogates CEO activism dynamics, corporate social responsibility (CSR), and strategic leadership. Key themes include: Drivers of CEO sociopolitical activism Founder CEO influence on environmental compliance Generational impacts on employee engagement Leadership traits in entrepreneurial contexts Recent Scholarship Trends: His 2023-2025 work emphasizes CEO political communication strategies, investor reactions to activism, and military leadership’s impact on corporate restructuring. Earlier research (2018-2020) explored CSR frameworks, equity ownership effects on strategy, and founder-CEO environmental accountability. Awards & Recognition: Academy of Management Best Paper Proceeding (2019, 2020) Best Doctoral Student Paper Award (2018, Southern Management Association) CCSU Excellence in Teaching Honor Roll (2022-24) Teaching & Advising: Focuses on strategic management, business policy, and entrepreneurship. Actively integrates student insights into research. No formal advisee list publicly disclosed. Labs/Teams: No dedicated research lab mentioned, but collaborates with academic networks through conference presentations and interdisciplinary projects.

Lacey WallaceView profile

Associate Professor

• Gun Violence
• Juvenile Delinquency
• Social Networks
• +2 more

Dr. Lacey Wallace is an Associate Professor of Criminal Justice at Pennsylvania State University. Her research examines firearm carrying behaviors, adolescent delinquency, and social network influences on criminal behavior. She applies quantitative methods to study familial patterns of offending, gun policy impacts, and intervention effectiveness. Her research investigates gun ownership patterns, sibling and peer influences on delinquency, policy evaluation, and quantitative methodologies. Current work examines pandemic impacts on family dynamics and adolescent behavior. Recent publications analyze criminal justice career perceptions, COVID-19 impacts on family behaviors, and survivalist responses to security threats. Research employs diverse methodologies including surveys, systematic reviews, and demographic modeling. She teaches courses on criminal justice and quantitative research methods at Penn State Altoona.

Karen LeederView profile

Professor

• Modern German Culture
• GDR Literature
• Translation Studies
• +9 more

Professor Karen Leeder holds the Schwarz-Taylor Chair of German Language and Literature at the University of Oxford's Faculty of Medieval and Modern Languages, affiliated with The Queen's College. Her research traces from East German underground art scenes to contemporary German poetry's intersections with science, translation, and memory. She leads the 'AfterWords' project exploring postmodernity's literary inheritance and will assume an International Visiting Professorship in Beijing (2025). As a prize-winning translator, she bridges German and English literary cultures, notably for Durs Grünbein, Ulrike Almut Sandig, and Evelyn Schlag. Her editorial roles include co-founding the 'Companions to Contemporary German Culture' series and serving on journal boards like German Monitor . Her academic career includes grants from the British Academy, AHRC, and Einstein Visiting Fellowship (2023). Awards span translation prizes (English PEN, Schlegel-Tieck) and creative residencies. She curates public engagement initiatives like #OxfordReadsKafka and the Mediating Modern Poetry platform. Supervised doctoral topics encompass GDR literature, women's writing, and Berlin Republic cultural studies. Research interests span: GDR cultural production, post-1945 German poetry, translation as creative practice, ecocritical theory, late style aesthetics, and transnational literary networks. Recent work interrogates ecological poetics, digital humanities, and post-humanist frameworks in contemporary German expression.

• Clinical Psychology
• Digital Mental Health
• mHealth Interventions
• +7 more

Dr. Caroline Seiferth is a researcher in the Department of Education and Psychology at Freie Universität Berlin, affiliated with the Clinical Psychology and Psychotherapy research group led by Prof. Babette Renneberg. She is also associated with the German Center for Mental Health (DZPG) in Berlin-Potsdam, where she contributes to advancing digital mental health interventions. Her work focuses on clinical-psychological intervention research, particularly in the areas of emotional regulation, cognitive control, and prevention strategies for psychosocial stress and obesity. Her research interests span digital mental health (e-mental health and mHealth) , postpartum depression , obesity and weight management , gender-sensitive psychological interventions , and cognitive-behavioral therapy . She has been instrumental in developing and evaluating evidence-based digital tools such as the I-GENDO and I-PREGNO interventions, which target behavioral change in individuals with overweight and families during the transition to parenthood. The 15 most recent publications highlight a strong trend toward digital health interventions , with a focus on real-time assessment (ecological momentary assessment) , just-in-time adaptive systems , and user-centered design . These works are grounded in clinical psychology and behavioral science, often employing randomized controlled trials to evaluate intervention efficacy. Keywords across these publications include mHealth, obesity, postpartum mental health, emotional regulation, and gender sensitivity. She has received recognition for her work, including the Posterpreis des DZPG in 2024, awarded jointly with Charlotte Rosenbach. This award underscores the impact and quality of her research presentations in the field of mental health. Dr. Seiferth actively mentors and collaborates on research projects, though no formal advisees are listed. She has contributed to externally funded projects such as I-REACH, ProChild, and Smart-e-Moms, indicating involvement in grant-supported research. Her collaborative work spans multiple institutions and interdisciplinary teams, reflecting a strong network in clinical and digital health research. She is involved in the development and evaluation of digital tools within the SMART FAMILY and I-GENDO research teams, focusing on behavioral change through mobile technology. These initiatives aim to deliver personalized, evidence-based psychological support to individuals and families facing mental health and weight-related challenges.

• Privacy and Cybersecurity
• Social Media Analytics
• Technology Adoption and Diffusion
• +3 more

Sara Memarian Esfahani is an Assistant Professor of Computer Science at the University of Texas at Tyler, affiliated with the Soules College of Business. She holds a Ph.D. in Business Computer Information Systems from the Ryan College of Business at the University of North Texas, an M.S. in Strategic Management from Khatam University, and a B.S. in Industrial Engineering from Islamic Azad University. Her research focuses on privacy and cybersecurity, social media analytics, and the behavioral aspects of technology adoption. She explores how users navigate privacy concerns in digital spaces, the ethical implications of AI, and how organizational systems can leverage technology for strategic advantage. Her work bridges theoretical insights with practical applications, emphasizing the role of information systems in modern business operations. In teaching, she instructs courses on Management Information Systems, System Analysis and Design, and Critical Thinking in Business. She is committed to preparing students to thrive in the digital era through both academic rigor and practical skills like Excel certification. Her recent research trends highlight interdisciplinary themes: examining privacy paradoxes, AI ethics, IoT challenges, and systemic gaps between academia and industry. She consistently advocates for practical solutions that align technological advancements with ethical and organizational needs. While no formal grants or awards are documented here, her active research portfolio demonstrates a dedication to impactful contributions in information systems and cybersecurity domains.