جست‌وجوی استاد و پژوهشگر

Cristina Trocinمشاهده پروفایل

استادیار

• Artificial Intelligence
• Healthcare
• Information Systems
• +۳ مورد دیگر

Cristina Trocin is an Assistant Professor in Information Systems at Católica Porto Business School , Universidade Católica Portuguesa. She is a Fellow of the Higher Education Academy (HEA) and conducts research at the intersection of technology, organizations, and digital innovation. Her work focuses on AI in healthcare, including topics like EHR implementation challenges, algorithmic evaluations in medical contexts, and the ethical dimensions of AI adoption. She holds a PhD in Management (Information Systems in healthcare) from Ca' Foscari University of Venice, with postdoctoral research at NTNU and visiting positions at American University. Affiliations : Research Center in Management and Economics (CEGE), Católica Porto Business School Research Themes : Artificial Intelligence in healthcare, digital innovation, HRM disruptions, case study methodologies Her research has been published in leading journals like Information Systems Journal and Technological Forecasting and Social Change , as well as conferences such as ICIS and AoM. Recent work explores unintended consequences of EHR systems, AI-driven decision-making in breast cancer treatment, and generative AI applications for sustainability goals. Supervision : Currently guiding four PhD students on topics like GenAI in healthcare, project management, and digital sustainability. Awards : HEA Fellowship (2020).

Bingli Jiaoمشاهده پروفایل

استاد

• Machine Learning
• Information Theory
• Signal Processing
• +۳ مورد دیگر

Bingli Jiao is a Visiting Research Collaborator with the academic rank of Professor, affiliated with Peking University in China. While currently associated with Princeton University through their email address (bjiao@princeton.edu), the primary institutional affiliation stated is with Peking University. Their academic work has been guided by renowned researcher H. Vincent Poor, suggesting alignment with advanced research in information theory and network sciences.

Joan Munnéمشاهده پروفایل

مدرس ارشد

• Second Language Acquisition
• Language Instruction and Assessment
• Language Learning Technologies
• +۷ مورد دیگر

Joan Munné is a Senior Lecturer in Romance Studies and Linguistics at Duke University. He holds an M.A. from the University of Barcelona (1997). His research focuses on second language acquisition, language-learning technologies, and teacher training, with recent emphasis on machine translation’s role in L2 writing and peer feedback in language learning. His teaching spans courses like SPANISH 310 (Translation), SPANISH 309S (Spanish in the U.S.), and advanced heritage speaker courses. He has developed award-winning Latino/a Studies curricula and contributed to textbooks such as Mapas and Aula en Acción . Media highlights include Duke’s feature on his work with heritage speakers ( April 2024 ) and articles on AI in language education ( 2013–2022 ). Awards include two Course Development Awards for Latino/a Studies (2010, 2013). Grants and labs: No specific grants or labs mentioned, though his work engages with service-learning pedagogy and collaborative classroom practices.

Christian Thiesمشاهده پروفایل

استاد

• Medical Information Systems
• Telemedicine Infrastructure
• Medical Image Retrieval
• +۳ مورد دیگر

Prof. Dr. Christian Thies is a Professor at Reutlingen University's Faculty of Informatics, specializing in Medical Information Systems. He co-founded the Medizinisch-Technische Informatik (Medical Technical Informatics) bachelor's program and contributes to the Human-Centered Computing master's program. His research focuses on telemedicine infrastructure, medical imaging systems, and clinical data integration, particularly through projects like the aRTeMIS framework and the bwHealthApp platform. He is a key member of the Computerassistierte Medizin (CAmed) research group at Reutlingen Research Institute. Education & Career: Thies has held roles at ixmid GmbH (2009-2012), Forschungszentrum Jülich (2006-2008), and RWTH Aachen University (2001-2006), focusing on medical software development, image processing, and clinical systems. His career spans over 25 years in healthcare IT, including freelance software development since 1996. Research Focus: His work combines clinical informatics with technological innovation, emphasizing interoperability in healthcare systems, telemedicine implementation, and personalized medicine platforms. Notable projects include the TeleDerm teledermatology trial and infrastructure for practice-based research networks (e.g., FoPraNet-BW). Articles Trends: Recent publications emphasize telehealth infrastructure, clinical trial methodologies, and wearable health monitoring systems. Earlier work concentrated on medical image retrieval algorithms and hierarchical data processing frameworks. Grants & Labs: Active in developing lab infrastructure such as the Ambient Assisting Lab and Future Mobility Lab. No specific grant details listed, but his projects indicate sustained institutional and collaborative funding.

Lars Nyreمشاهده پروفایل

استاد

• Media Technology
• Innovation Pedagogy
• Interaction Design
• +۷ مورد دیگر

Lars Nyre is a Professor at the Department of Information and Media Studies, Faculty of Social Sciences, University of Bergen (UiB). He is a leading figure in innovation pedagogy, focusing on preparing students for real-world challenges through design, technology, and collaboration with industry. He leads the TekLab initiative and has been instrumental in advancing media education through grants, publications, and student-driven innovation. Education: PhD in Media Studies, University of Bergen / Volda University College (2003) MA in Media Studies, University of Bergen (1997) Intermediate studies in Literature, University of Bergen (1992) Lars Nyre’s research and teaching focus on innovation pedagogy, media technology, interaction design, and the societal implications of artificial intelligence . He emphasizes student-centered, solution-oriented learning where students develop prototypes in collaboration with media companies and public agencies. His work bridges theory and practice, encouraging critical engagement with emerging technologies. He advocates for humanities scholars to actively participate in technological innovation rather than resist it. His recent publications and projects highlight a strong trend in AI, immersive media, and educational innovation . He has led major pedagogical projects such as TekLab and TekLab Bedrift, securing over 10 million NOK in funding. His textbook Teknologi. En teoretisk innføring (2024) reflects his deep engagement with technology theory and its relevance for all disciplines. Scientific Awards: Meritorious Teacher, Faculty of Social Sciences, UiB (2022) Learning Environment Prize, University of Bergen (2019) Dissemination Prize, Faculty of Social Sciences, UiB (2023) Cluster Ambassador of the Year, Media City Bergen (2021) Lars Nyre has supervised numerous PhD and master’s students and secured significant external funding for innovation in education. He is actively involved in public dissemination through lectures, debates, exhibitions, and media appearances. He leads TekLab , a collaborative research and innovation hub in Media City Bergen, which fosters interdisciplinary projects involving students, academics, and industry partners.

• Biomedical Engineering
• Neuroscience
• Flexible and Stretchable Electronics
• +۲ مورد دیگر

Dr. Philipp Gutruf is an Assistant Professor in the Biomedical Engineering Department at the University of Arizona , where he develops wireless, battery-free implantable devices that integrate soft materials, photonics, and electronics for health diagnostics and neuroscience research . His work focuses on eliminating physical tethers in biomedical tools through capacitive energy harvesting and miniaturized optoelectronic systems , enabling chronic monitoring of neural dynamics and musculoskeletal systems in freely moving animal models . He has received multiple patents and awards, including the Craig M. Berge Faculty Fellow in 2020. His research spans three primary domains: Wireless neuromodulation tools for neuroscience (optogenetic implants for rodents and songbirds) Biosymbiotic wearables for digital medicine (15-mile signal transmission, LoRa integration) Flexible bioelectronic platforms for cardiovascular applications (open thoracic implantation protocols, closed-loop pacing systems) Recent publications highlight breakthroughs in ±20V wireless stimulation (2023), 15-mile biosignal telemetry (2023), and dorsal hippocampus pain modulation (2021). His group has developed osseosurface electronics (2021) for bone-integrated sensors and epidermal UV dosimeters (2017) with NFC capabilities. Teaching interests emphasize hands-on biomedical design education through courses like Medical Device Design (BME 310) and Research Methods in Biomedical Engineering (BME 592).

Josh Tenenbaumمشاهده پروفایل

استاد

• Computational Cognitive Science
• Artificial Intelligence
• Bayesian Inference
• +۸ مورد دیگر

Josh Tenenbaum is a Professor of Computational Cognitive Science at the Massachusetts Institute of Technology , affiliated with the Department of Brain and Cognitive Sciences , CSAIL , and CBMM . His research focuses on computational models of human cognition, integrating Bayesian inference, probabilistic programming, and machine learning with behavioral experiments in adults and children. Research spans concept learning, causal reasoning, word meaning acquisition, and theory-of-mind modeling. Recent publications emphasize neuro-symbolic integration, physical reasoning, and adaptive world modeling. Awards include multiple Cognitive Science Computational Modeling Prizes and IEEE CVPR/NIPS recognitions.

• Human-Centered AI
• Explainable AI
• Graph Mining
• +۵ مورد دیگر

Duen Horng Chau is a Professor at Georgia Tech's School of Computational Science & Engineering and Associate Director of the MS in Analytics program. He holds an adjunct role in the School of Interactive Computing and leads industry relations for Georgia Tech's Institute for Data Engineering and Science and Center for Machine Learning . Director of Industry Relations (2019-2025) Associate Director of Corporate Relations for Machine Learning (2019-2025) Associate Professor (2018-2024) Machine Learning Area Leader (2018-2021) Assistant Professor (2012-2018) His research at the Polo Club of Data Science focuses on human-centered AI through visualization and graph mining , with applications in cybersecurity , social good , and scientific discovery . Key projects include: AI Education : CNN Explainer, Diffusion Explainer, GAN Lab Visual Interpretability : ActiVis (deployed at Meta), NeuroCartography, Summit Cybersecurity : ShapeShifter, SHIELD, Polonium Social Impact : Firebird (fire risk prediction), Chronodes (mobile health) His work has received 15+ best paper awards including CVPR'25 Workshop Best Paper , IEEE VIS Best Poster , and SIGGRAPH invitations . He has secured NSF , DARPA , and NIH grants, with industry partnerships including Google , Intel , and Microsoft . He has advised 30+ PhD/MSc students and developed open-source tools like Argo Lite and PEGASUS (used by Nvidia). His research has been featured in The Wall Street Journal , Wired , and other major media outlets.

Aalok Thakkarمشاهده پروفایل

استادیار

• Programming Languages
• Formal Logic
• Artificial Intelligence
• +۳ مورد دیگر

Aalok Thakkar is an Assistant Professor in the Department of Computer Science at Ashoka University, specializing in Programming Languages , Formal Logic , and Artificial Intelligence . He earned his Ph.D. in 2023 from the University of Pennsylvania , advised by Rajeev Alur and Mayur Naik. His research focuses on example-guided synthesis of relational queries , with applications in program verification, automated reasoning, and AI. Recent work includes the Mobius framework (OOPSLA 2023) and Relational Query Synthesis ⋈ Decision Tree Learning (VLDB 2023). Published in npj Digital Medicine (2021) on pandemic risk modeling Contributed to Natural Computing (2020) on Boolean network concurrency Workshop papers on synthesis algorithm complexity (SYNT 2022) and reactive systems (SYNT 2020) He was previously affiliated with Adobe Systems, Aptos Labs, Amazon AWS, and Bell Labs. Awards include the Alt Carbon Darjeeling Revival Fellowship . Teaching includes courses on Symbolic Logic , Rust programming , and Games on Graphs . He will host an IndiCS Seminar on Automated Synthesis in 2025.

Işıl Dilligمشاهده پروفایل

دانشیار

• programming languages
• program analysis
• program verification
• +۴ مورد دیگر

Işıl Dillig is an Associate Professor of Computer Science at the University of Texas at Austin, where she leads the UToPiA research group. Her work focuses on programming languages, with specific emphasis on program analysis, verification, and synthesis. B.S., M.S., and Ph.D. from Stanford University Her research aims to enhance software reliability, security, and development efficiency through advanced synthesis techniques. Recent work spans: Neurosymbolic and semantic synthesis Blockchain and smart contract optimization Type systems for safety She has received prestigious accolades including: Sloan Fellowship NSF CAREER award Contributions to the field include leadership roles in conference organization and mentoring initiatives. Her lab actively explores applications in databases, security, and concurrent programming.

• Data Management
• Big Data Systems
• Knowledge Graphs
• +۱۲ مورد دیگر

Philippe Cudré-Mauroux is a Full Professor in the Department of Computer Science at the University of Fribourg, affiliated with the Faculty of Science and Medicine. His research spans data management, big data systems, knowledge graphs, semantic web, and human-AI collaboration. His primary research interests include Data Management , Big Data Systems , Knowledge Graphs , Time Series Analytics , Database Systems , Human-AI Collaboration , and Machine Learning for Data Cleaning . His work integrates theoretical database research with practical applications in smart cities, social media, and healthcare analytics. The recent publications reflect a strong trend toward knowledge graph embeddings , large language models for data quality , time series benchmarking , and human-in-the-loop systems . His research combines symbolic and neural methods, emphasizing schema awareness, explainability, and real-world deployment. He actively supervises numerous PhD and Master’s students and collaborates widely across institutions. His group contributes to open-source tools and benchmarking frameworks for database and AI systems.

Jeff Santnerمشاهده پروفایل

دانشیار

• Combustion
• Combustion Chemistry
• Flame Initiation and Propagation
• +۴ مورد دیگر

Jeff Santner is an Associate Professor in the Department of Mechanical Engineering at California State University, Los Angeles, within the College of Engineering, Computer Science, and Technology. His primary responsibilities include teaching undergraduate courses such as Thermodynamics (ME 3260), Heat Transfer (ME 4060), Fluid Mechanics I (ME 3030), and Propulsion Systems (ME 4040), along with special topics like Combustion. He maintains regular office hours in ET A-131 and provides advising services through scheduled appointments. His academic background includes a Ph.D. and M.A. in Mechanical and Aerospace Engineering from Princeton University (2009-2015), where he researched flame speed measurement and combustion chemistry under Yiguang Ju and Frederick Dryer. Prior to that, he earned a B.S. in Engineering with a Physics minor from Swarthmore College (2005-2009). Before joining Cal State LA as Assistant Professor (2017-2022) and later Associate Professor (2022-present), he conducted postdoctoral research at Argonne National Laboratory (2015-2017) focusing on ignition in rapid compression machines with bio-derived fuels. Santner's research centers on combustion chemistry with specific emphasis on NOx formation, kinetic model reduction, flame initiation/propagation, and reaction rate extraction from literature experiments. His publication record shows consistent contributions to combustion science, particularly in experimental validation of chemical mechanisms and uncertainty analysis in ignition phenomena. Recent work includes autoignition studies of heterocyclic compounds and integration of computational materials research with engineering pedagogy. His scholarly output demonstrates strong activity in combustion diagnostics and chemical kinetics, with publications spanning experimental validation of reaction mechanisms, flame propagation dynamics, and alternative fuel characterization. The research trajectory shows increasing focus on experimental uncertainty quantification, bio-derived fuel combustion, and pedagogical applications of computational methods. Santner actively contributes to open-source scientific software through GitHub repositories related to combustion chemistry tools, including gas property calculators and reaction mechanism utilities. His RUI grant work focuses on indirect measurement techniques for reaction rates in laminar flames, indicating ongoing external research funding.

• Aeroelasticity
• Aerospace engineering
• Composite structures
• +۴ مورد دیگر

Marco Petrolo is an Associate Professor at the Department of Mechanical and Aerospace Engineering, Polytechnic University of Turin, Italy. His research focuses on aeroelasticity, composite structures, finite element analysis, and multiscale modeling, with a particular emphasis on structural theories and virtual manufacturing. Scientific Branch: IIND-01/D - Aerospace Structures and Design (Area 0009 - Industrial and Information Engineering) ERC Sectors: Aerospace Engineering, Computational Engineering, Lightweight Construction, Materials Engineering Marco's research interests span aeroelasticity, composite structures, variable kinematics finite elements, and machine learning applications in structural mechanics. He actively contributes to the development of multi-fidelity and multi-field computational tools for aerospace material analysis. His recent publications highlight advancements in composite wing optimization, damage analysis using 3D Hashin criteria, and curing process simulations. Themes include multiscale modeling, finite element techniques, and uncertainty quantification in composite manufacturing. Scientific Awards : Fulbright Visiting Student Research (2010) Effective Member, ASME (2023-), ASC (2019-), AIAA (2018-), AIDAA (2018-) Associate Editor, AEROTECHNICS MISSILI & SPAZIO (2023-), Editorial Board Member, MECHANICS OF ADVANCED MATERIALS AND STRUCTURES (2021-), and others Marco supervises PhD students and participates in organizing international conferences such as ICAS and AIAA Scitech. He leads national and EU-funded projects like DAMA and ASSESS, focusing on acoustic metamaterials and smart composite monitoring.

• software verification
• automated reasoning
• code synthesis
• +۳ مورد دیگر

Ruzica Piskac is a Professor of Computer Science at Yale University's School of Engineering & Applied Science, where she leads the Rigorous Software Engineering (ROSE) group. She joined Yale's Department of Computer Science in 2013 after serving as an Independent Research Group Leader at the Max Planck Institute for Software Systems in Germany. Her educational background includes a PhD from the Swiss Federal Institute of Technology (EPFL) in 2011, where her dissertation won the Patrick Denantes Prize. Her advisor was Viktor Kuncak, and her thesis focused on Decision Procedures for Program Synthesis and Verification . Piskac's research centers on improving software reliability and trustworthiness through formal techniques. Her primary interests span software verification, security and applied cryptography, automated reasoning, and code synthesis. She has developed innovative approaches in symbolic execution for Haskell, privacy-preserving formal methods, functional reactive synthesis, and verification for configuration files. Her work bridges theoretical foundations with practical applications in security, programming languages, and AI systems. Her recent publications (2022-2024) demonstrate a strong focus on applying formal methods to emerging challenges in AI, legal reasoning, quantum computing security, and zero-knowledge proofs. There's a clear trend toward interdisciplinary work connecting formal verification with legal accountability, large language models, and security applications. Multiple Amazon Research Awards (2021-2023) for work on formalizing legal reasoning and automated reasoning Yale University's Ackerman Award for Teaching and Mentoring Facebook Communications and Networking Award Microsoft Research Award for the Software Engineering Innovation Foundation Donna L. Dubinsky Associate Professor of Computer Science (2019) Patrick Denantes Prize for her PhD dissertation Piskac has graduated five PhD students, four of whom now hold assistant professor positions in computer science. Her research has been supported by multiple Amazon Research Awards and other funding sources. She has served as Program Chair of the 37th International Conference on Computer Aided Verification and on the Steering Committee of the Formal Methods in Computer-Aided Design conference. Her ROSE group at Yale conducts cutting-edge research in formal methods with applications across software engineering, security, and AI systems.

• Clinical Psychology
• Health Psychology
• Trauma and PTSD
• +۱۲ مورد دیگر

Maja Nedeljkovic is a Professor in the School of Health Sciences at Swinburne University of Technology, where she leads significant research in clinical and health psychology. Her work spans trauma, suicide prevention, eating disorders, and digital mental health, with funding from major national and international bodies including the Barbara Dicker Brain Science Foundation and the Department of Health and Aged Care. Research Interests: Trauma and Complex PTSD (CPTSD) Compassion-Focused and Internal Family Systems Therapies AI and Machine Learning in Mental Health Family and Intimate Partner Violence Digital and Virtual Reality Interventions Hoarding and Obsessive-Compulsive Disorders Eating Disorders and Orthorexia Global Mental Health and Gender-Based Violence Her recent publications reflect a strong trend toward systematic reviews, meta-analyses, and pilot studies evaluating novel psychological interventions, particularly those integrating technology and co-design. She frequently collaborates across disciplines and countries, with recent work in Sri Lanka and Australia. Scientific Grants (Selected): Development of a Compassion-Focused Intervention for Caregivers of Young People with Eating Disorders (2024–2027) Psychological and Neurobiological Changes Following EMDR Therapy in Concussion (2024–2025) Detecting Family Violence in Male Helpline Callers (2023–2024) Victor Harbor Memorial PhD Scholarship on Complex Trauma in Men (2023–2027) Supervision and Collaboration: She is actively supervising over 20 PhD students and collaborates widely with researchers such as Meyer D, Bhar S, Mackelprang J, and de Boer K. Her leadership in co-designed mental health services highlights her commitment to participatory research. Laboratories and Research Teams: While not explicitly named, her work is associated with trauma and digital mental health research groups at Swinburne, particularly those focused on suicide prevention, AI applications, and compassion-based therapies.