جست‌وجوی استاد و پژوهشگر

• Digital Transformation
• Healthcare Informatics
• Platforms & Innovation
• +۵ مورد دیگر

Tan Chuan Hoo is an Associate Professor (tenured) and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. With a distinguished academic career spanning multiple continents, he brings expertise in digital transformation, healthcare informatics, and enterprise systems to his teaching and research. His educational background includes: B.Sc. (1st Class Honours, National University of Singapore) M.Sc. (Accelerated, National University of Singapore) Ph.D. (National University of Singapore) Professor Tan's research focuses on digital transformation, particularly designing, deploying, and evaluating technological innovations. His work centers on two critical areas: digital commerce (provision of digital services such as online shopping aids) and digital organization (ensuring operational efficiency and performance). His research has significant implications for healthcare institutions, corporations, and crisis preparedness and response organizations. He conducts comprehensive analyses using various scientific methodologies including field experiments and mixed methods to understand how digital technologies reshape business operations and enhance societal well-being. His publication record shows a consistent focus on information systems, with recent articles (2020-2025) emphasizing healthcare informatics, digital transformation, and open innovation. His work demonstrates a clear trajectory toward understanding how technology intersects with organizational effectiveness and societal implications, with increasing attention to healthcare applications and digital crisis management. Professor Tan has received numerous prestigious awards for his contributions to the field: Faculty Teaching Excellence Award, NUS (2024, 2017) Information Management Research Award, China Information Economics Society (2023) Reviewer Hall of Fame, Journal of AIS (2020) Outstanding Associate Editor Award, MIS Quarterly (2016) Best Reviewer Award, Journal of AIS (2016) INFORMS ISS Design Science Award (2013) Honorable Mention, Journal of AIS (2015) He has successfully advised PhD students and collaborated with public and private entities on research projects. His editorial service as Associate Editor for Information Systems Research and MIS Quarterly, along with board memberships at other leading journals, demonstrates his significant influence in the field. Professor Tan has secured research grants supporting projects on digital crisis preparedness, disaster response technology, and healthcare digitalization. His research group focuses on understanding how technology can be designed and implemented to support organizations in crisis situations, enhance healthcare services, and improve digital commerce. Current projects include examining digital crisis management, technology for disaster response, and the digital transformation of healthcare services.

Golan Levinمشاهده پروفایل

استاد

• Interactive Art
• Digital Fabrication
• Information Visualization
• +۴ مورد دیگر

Golan Levin is Professor of Electronic Art at Carnegie Mellon University's School of Art, with courtesy appointments in the School of Design, School of Architecture, School of Computer Science, and Entertainment Technology Center. From 2009 to 2022, he served as Director and Co-Director of CMU's Frank-Ratchye STUDIO for Creative Inquiry, a laboratory dedicated to supporting atypical, anti-disciplinary research at the intersection of arts, science, technology, and culture. Levin's research spans interactive art, digital fabrication, information visualization, and generative design. He explores the critical potential of visualization, generative computation for expressive form, and how abstraction connects to realities beyond language. His practice engages interactive gestural robotics, nonverbal interaction aesthetics, and tactical applications of personal digital fabrication through responsive artifacts and media provocations that highlight human-machine relationships. His publications reveal consistent innovation in real-time audiovisual systems, interactive fabrication interfaces, and pedagogic tools for artists. Key trends include slit-scan video techniques, tangible augmented-reality performance, and noise-based visualizations, demonstrating his commitment to expanding human action vocabulary through digital media while bridging artistic expression with computational systems. Levin's work has received significant recognition: Permanent collection inclusion at Museum of Modern Art (MoMA) Whitney Biennial exhibition "50 Designers Shaping the Future" by Fast Company (2012) Competitive grants from National Endowment for the Arts, National Endowment for the Humanities, Creative Capital, and Rockefeller MAP Fund As an educator, Levin teaches "studio courses in computer science" on interactive art, experimental capture, and generative design, emphasizing computation as a medium for critical inquiry. His research funding from major cultural institutions supports interdisciplinary exploration at the arts-technology nexus. The Frank-Ratchye STUDIO for Creative Inquiry, which he directed for 13 years, remains a vital hub for anti-disciplinary collaboration, continuing his legacy of fostering creative agency through technology-infused artistic practice.

Guy-Vincent Jourdanمشاهده پروفایل

استاد

• Software Security
• Cybersecurity
• Distributed Systems
• +۶ مورد دیگر

Professor Guy-Vincent Jourdan is affiliated with the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from Université de Rennes/INRIA (France, 1995) focusing on distributed systems analysis. Prior to academia, he served as CTO and CEO of Decision Academic Graphics, an Ottawa-based firm. His research interests span software security, cybersecurity (including cybercrime prevention), distributed systems modeling, formal methods, mobile applications, and rich internet applications. Specific technical emphases include phishing detection systems, blockchain fraud analysis, and adversarial machine learning. Professor Jourdan has pioneered tools like D-ForenRIA for reconstructing user interactions in Rich Internet Applications and contributed to cybersecurity frameworks such as HEART for log anomaly detection. His work integrates machine learning techniques with domain-specific challenges in network security and software verification. His publications (2023-2025) reflect advancements in AI-driven vulnerability analysis, blockchain fraud detection, and automated phishing detection systems. Notable projects include SV-TrustEval-C for source code vulnerability analysis and Intellitweet for social media threat detection. While no scientific awards are explicitly listed, his prolific publication record and industry-academia transition highlight sustained contributions to computer science and cybersecurity domains.

Muhammad Ali Gulzarمشاهده پروفایل

استادیار

• Fault Localization
• Big Data systems
• Data Intensive scalable computing
• +۵ مورد دیگر

Muhammad Ali Gulzar is an Assistant Professor in the Computer Science Department at Virginia Tech and an Amazon Scholar at Amazon Web Services. His research focuses on improving developer productivity through automated debugging and testing for applications in emerging domains, including data-intensive software such as dataflow programs, ML/AI applications, and computational notebooks. Education Ph.D. in Computer Science from University of California, Los Angeles (Google Ph.D. Fellow 2017-2020) Research Interests Gulzar's research spans three primary areas: (1) automated tracking-code localization techniques in web applications, (2) re-engineering testing and debugging for data-intensive applications, and (3) advancing current testing and debugging practices in Federated Learning Applications. His work addresses the challenges of debugging in complex systems where traditional approaches fail due to the scale and distributed nature of modern applications. His research has significant implications for improving software quality, developer productivity, and accessibility in web applications. Research Trends Recent publications demonstrate a strong focus on debugging and testing challenges in emerging application domains. His work bridges traditional software engineering with machine learning, data-intensive systems, and web technologies. Notably, he has made significant contributions to Federated Learning debugging (FedDebug), accessibility challenges in ad-driven web applications, and semantic caching for Large Language Models. His approach often combines novel algorithmic insights with practical implementations that address real-world challenges in software development and maintenance. Scientific Awards Google Ph.D. Fellow (2017-2020) $1.1 million NSF award for Federated Learning research ACM CCS 2024 Distinguished Artifact Award Advising and Grants Gulzar leads a productive research group with multiple students contributing to publications in top-tier venues. His NSF-funded research on Federated Learning demonstrates his ability to secure competitive funding for innovative projects. His advising style appears to emphasize practical impact alongside theoretical contributions, with students often taking lead roles in publications. Current research directions include debugging techniques for Large Language Models, accessibility challenges in modern web applications, and novel testing approaches for distributed data processing systems.

Ion Androutsopoulosمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Ion Androutsopoulos is a Professor of Artificial Intelligence in the Department of Informatics at Athens University of Economics and Business (AUEB), where he also serves as Head of Department. He is founder and co-director of AUEB's Natural Language Processing Group and an Adjunct Researcher at the Digital Curation Unit and "Archimedes" Research Unit of the Research Centre "Athena". His research spans multiple dimensions of Artificial Intelligence with a focus on Natural Language Processing. Key interests include: Machine learning in NLP, particularly deep learning and large language models Question answering and retrieval augmented generation for document collections Dialog systems for new languages and knowledge domains Sentiment analysis and emotion recognition from text and speech Detecting toxic posts and disinformation online Image-to-text generation for medical diagnostics NLP applications in biomedical, legal, and financial domains His recent publications demonstrate strong activity across medical AI (particularly ImageCLEFmed Caption competitions where his group consistently ranks 1st-2nd), legal NLP (LexGLUE benchmark), financial NLP (EDGAR-CRAWLER), and multilingual challenges. His work shows increasing emphasis on large language models, explainability, and practical applications. Notable awards include: Top 2% scientist worldwide (Stanford University database, 2023) Multiple AUEB Excellent Teaching Awards (2017-18, 2021-22, 2023-24) Three consecutive BioASQ awards (2018-2020) Multiple 1st/2nd place rankings in ImageCLEFmed Caption competitions (2021-2025) He actively organizes major events including the Athens Natural Language Processing Summer School (AthNLP) and SemEval tasks. His group maintains strong industry and research collaborations, particularly in medical AI applications where they've developed systems that generate diagnostic captions from medical images with state-of-the-art performance.

Demetriadis Stavrosمشاهده پروفایل

استاد

• Learning Technologies
• Educational Technology
• Conversational Agents in Education
• +۷ مورد دیگر

Full Professor at the School of Informatics, Aristotle University of Thessaloniki (AUTh), Greece. Previously served as Associate Professor (2015-2020), Assistant Professor (2008-2015), and Lecturer (2002-2008) at the same institution. Also worked as an Informatics Teacher in Greek Secondary Education from 1989-2002. His research focuses on Learning Technologies with emphasis on Conversational Agents in Education, Learning Analytics, Computer-Supported Collaborative Learning, Computational Thinking, Teaching Machine Learning at School, and Massive Open Online Courses (MOOCs). His recent work heavily investigates the application of AI, particularly conversational agents and large language models, in educational contexts. His publications show a strong trend toward AI applications in education, particularly focusing on conversational agents, learning analytics, and automated grading systems. The research spans multiple educational contexts from K-12 to higher education, with particular attention to student self-regulation, collaborative learning, and ethical considerations in AI implementation. 3 Best paper awards at international conferences Interview by Educational Technology Magazine (2013) Cubes Coding project - Winners of Open Education Challenge 2014 Cubes Coding project - Winners of NUMA Competition 2014 Has supervised 5 completed PhD theses, 4 ongoing PhD theses, over 60 Master's theses, and over 120 undergraduate theses. Led the colMOOC project (2018-2020), a €999,000 EU-funded project on integrating conversational agents and Learning Analytics in MOOCs. Also coordinated the T4E project (2020-2022) on Teachers' Fast-paced Distance Training on Tele-education and a MOOC in Greek on Introduction to Programming with Python. Previously served as Director of the Software and Interactive Technologies Laboratory (SWITCH Lab) until 2020, Member of AUTH Educational Policy Committee until 2020, and Chair of the Scientific Supervisory Board of the 2nd Experimental Junior High School in Thessaloniki until 2020.

Nigel Boschمشاهده پروفایل

استادیار

• Machine Learning
• Human-Computer Interaction
• Educational Technology
• +۳ مورد دیگر

Nigel Bosch is an Assistant Professor in the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign, with a joint appointment in the Department of Educational Psychology. He is also a faculty affiliate at the National Center for Supercomputing Applications (NCSA) and Illinois Informatics. His primary research focuses on machine learning and human-computer interaction applications in education, with particular emphasis on affective computing, metacognition, and online learning environments. Bosch holds a PhD in Computer Science from the University of Notre Dame, followed by a postdoctoral research position at the National Center for Supercomputing Applications. His research explores machine learning applications in education, including automatic emotion measurement in programming education, metacognition analysis through natural language processing, and ethical implications of AI in learning. He also investigates wearable technologies for health monitoring and algorithmic bias mitigation in educational data. Bosch’s work is supported by grants from the National Science Foundation (NSF), the Institute of Education Sciences (IES), and the University of Illinois. He leads the (Human + Machine) Learning lab, which develops innovative technologies for educational analytics, AI ethics, and human-centered computing.

Jordan Bateمشاهده پروفایل

دانشیار

• Clinical Psychology
• Attachment Theory
• Mentalization
• +۷ مورد دیگر

Jordan Bate is an Associate Professor in the Department of Psychology at the Gordon F. Derner School of Psychology, Adelphi University. He is a licensed clinical psychologist in New York and maintains active research and clinical affiliations, including with Lenox Hill Hospital and Northwell Health. His work integrates psychodynamic, attachment, and mentalization-based approaches across child, adolescent, and family therapy contexts. Education: PhD, The New School for Social Research (2017) MA, The New School for Social Research (2012) BA, Williams College (2006) His research focuses on the psychotherapy process, particularly how attachment and mentalization shape therapeutic outcomes. Key areas include parent involvement in child treatment, therapist facilitative interpersonal skills (FIS), mentalization-based interventions for youth and families in the child welfare system, and adolescent personality development. He leads the Attachment and Psychotherapy Process Lab and employs mixed-methods designs, including observational coding and self-report measures. His recent publications explore therapist training, teletherapy efficacy, epistemic trust, and the psychological impact of the pandemic on families. The work spans journals in clinical psychology, psychotherapy research, and child mental health, reflecting a strong interdisciplinary and translational focus. Scientific Awards and Honors: President, Section II (Children and Adolescents), APA Division 39 (2021–2023) Chair, Child, Adolescent and Family Therapy Research (CAFTR) SIG, Society for Psychotherapy Research (2023–Present) Steering Committee, Psychodynamic Research Mentorship Program (PRMP), Austen Riggs Center & Yale Child Study Center (2024–Present) Committee Member, Mentorship and Progression Committee, Academics for the Advancement of Psychodynamic Psychology (A2P2) (2024–Present) Voluntary Faculty, Department of Psychiatry, Lenox Hill Hospital, Northwell Health (2018–Present) Bate has been instrumental in advancing training models such as Facilitative Interpersonal Skills Training (FIRST) and has contributed to major publications on deliberate practice and mentalization-based parent work. He has received no explicitly listed awards, but his leadership roles and publication record reflect significant professional recognition. He is deeply involved in mentoring students and supporting research in attachment and psychotherapy science. He is also engaged with multiple collaborative research teams, particularly around mentalization-based treatment implementation and therapist responsiveness. His lab collaborates with institutions including Lenox Hill Hospital, The New School, and international partners, supporting a broad network of clinical and academic inquiry.

Stavros Demetriadisمشاهده پروفایل

استاد

• Learning Technologies
• Educational Technology
• ICT in Education
• +۷ مورد دیگر

Stavros Demetriadis is a Full Professor at the School of Informatics, Aristotle University of Thessaloniki, Greece. His research focuses on Learning Technologies, including Conversational Agents in Education, Learning Analytics, Computer-Supported Collaborative Learning (CSCL), Computational Thinking, and Massive Open Online Courses (MOOCs). He has led EU-funded projects like colMOOC and developed educational tools such as 'pytolearn' for Python instruction and 'Cubes Coding' (winner of Open Education Challenge 2014 and NUMA Competition 2014). He has supervised 5 completed PhD theses, 4 ongoing PhDs, and over 60 Master’s theses. Academic Appointments: Full Professor (2020–present), Associate Professor (2015–2020), Assistant Professor (2012–2015), Lecturer (2002–2008), Informatics Teacher (1989–2002) Education: PhD in Multimedia Technology in Education (2000), MSc in Electronic Physics (1986), BSc in Physics (1983) His work bridges AI and education, with over 161 publications and an h-index of 27. Recent research explores ChatGPT integration, ethics in Learning Analytics, and AI-driven assessment tools. He has delivered invited talks at institutions like the University of Valladolid (2024) and coordinates the 'Teachers' Fast-paced Distance Training on Tele-education' project. Awards include three international best paper awards and recognition for his 'Cubes Coding' project. Key Research Contributions: Developed frameworks for Conversational Agents in CSCL Innovated Computational Thinking pedagogy through robotics Explored ethics and culture in Learning Analytics adoption Created Python-based MOOCs for non-programmers He has taught courses like Human-Computer Interaction and Learning Analytics, and led short programs on Conversational AI. His collaborations span institutions in Spain, Denmark, and Greece. ORCID: 0000-0002-1561-6372; Google Scholar, Semantic Scholar, and Scopus profiles list his extensive output.

Usman Naseemمشاهده پروفایل

مدرس

• Natural Language Processing
• Multimodal Analysis
• Social Computing
• +۷ مورد دیگر

Dr. Usman Naseem is a Lecturer in Computing at Macquarie University’s School of Computing, Australia. Previously, he held academic roles at James Cook University and research fellowships at the University of Sydney and the University of South Australia. He earned his PhD in Computer Science from the University of Sydney and has over 10 years of industry experience in technical and leadership roles. Research Interests: NLP, multimodal analysis, and social computing, with focuses on socially aware methods for applications like cyber informatics, online sarcasm/opinion mining, low-resource language processing, and health informatics. He actively contributes to top-tier venues like ACL, EMNLP, and SIGIR. Grants & Awards: Recipient of the IEEE Transactions Best Paper Award (2022), DAAD AINet Fellowship (2023), and the Rising Star in AI Fellowship. His research has been funded by grants including Macquarie University’s MQRAS and Data Horizons initiatives. Recent Activities: Leads projects on combating AI-generated misinformation (VaxGuard grant), and has published extensively on topics like health misinformation detection, multimodal learning, and bias mitigation in AI systems. He is currently recruiting PhD and Master’s students in NLP, multimodality, and AI for social good. Labs & Collaborations: Affiliated with Macquarie’s Data Horizons Research Centre, Future Communications Research Centre, and Frontier AI Research Centre. Collaborates internationally on health informatics, social media analysis, and AI ethics.

Elena Doldorمشاهده پروفایل

مدرس ارشد

• Organizational Behavior
• Diversity and Inclusion
• Leadership Studies
• +۳ مورد دیگر

Dr. Elena Doldor is a Senior Lecturer in Organisational Behaviour at Queen Mary University of London's School of Business and Management, while also holding a Visiting Fellow position at Cranfield School of Management. Her academic journey includes a PhD from Cranfield University, an MSc in Organizational Psychology from Pierre Mendes University, and a Fulbright Visiting Fellowship at Northwestern University. Senior Lecturer at Queen Mary University of London Co-Director, Centre for Research in Equality and Diversity Representative-at-Large, Academy of Management's Gender & Diversity Division Collaborations with Government Equalities Office and European Parliament Dr. Doldor's research focuses on diversity in leadership , particularly examining how gender and ethnic minorities navigate organizational politics. Her work combines attribution theory with script theory to analyze political cognition in workplace settings. Through mixed methods approaches , she investigates how marginalized groups develop political scripts that shape their career trajectories. Her 15 most recent publications reveal strong patterns in organizational behavior research, with particular emphasis on racialized workplace politics , gender bias in feedback systems , and identity negotiation under stigma . These works employ critical incident techniques and latent class analysis to uncover how political experiences form embedded motivational tracks. Recipient of Fulbright Visiting Fellowship Contributor to major policy reviews (Davies Review, Hampton-Alexander Review) Collaborator with multinational corporations (KPMG, EY, Barclays) Dr. Doldor actively bridges academic research with organizational practice , working with policy-makers and private sector entities to implement diversity management strategies. Her methodological innovations include naturalistic data analysis and attribution coding systems that reveal how political scripts develop from lived experiences in organizations.

• Multilingualism and the Arts
• Sámi Literature
• Comparative Literary Studies
• +۱۱ مورد دیگر

Dr. Johanna Domokos is an Associate Professor at the Department of Theatre Studies, Faculty of Humanities and Social Sciences, Károli Gáspár University of the Reformed Church in Hungary. With a distinguished academic career spanning several institutions including University of Bielefeld and UCLA, she has established herself as a leading scholar in multilingualism, Sámi literature, and Finno-Ugric studies. Her educational background includes a PhD in Comparative Literary Studies (1999) from József Attila University with a dissertation on Translation-semiotic analysis of Lapp poetry , multiple MA degrees in Finno-Ugric Studies, Hungarian Language and Literature, and English Language and Literature (1994, 2000), and the prestigious Dr. Habil degree from Eötvös Loránd University (2011). Domokos's research focuses on multilingualism in the arts , particularly examining literature, theatre, and visual arts in Northern and Central Europe, with special emphasis on Finland, Estonia, Sámi/Lapland, and the Carpathian Basin. Her work explores artistic rituality, mystical poetry, and interlingual and intersemiotic translation. She has led numerous research projects including the 'International Mediation of Sámi Literature' (2016-2019) and 'Rituality, Theater, Literature' (2018-2020). Her recent scholarly output reveals a strong trend toward Anthropocene studies and code-switching research , with publications examining multilingual creativity, Sámi literature, and the intersection of theatre with ecological concerns. Her work demonstrates growing interdisciplinary connections between literary studies, environmental humanities, and performance theory. Scientific Awards: Faludy-Díj (1992) Karriert Támogató Díj and Kutatói Díj from UCLA (2005, 2007) Kulturális Szervezői Kitüntetés from Los Angeles Hungarian Embassy (2008) Inger Sjöberg Prize from Scandinavian Society, USA (2022) Dr. Habil degree from Eötvös Loránd University (2011) Domokos has supervised doctoral students including Molnár Attila (on multimedia in contemporary art), Miklós Krisztina (on multilingualism and corporeality in Tompa Andrea and Sofi Oksanen's novels), and Bilibok Apollónia (on streamed theatre performances during the pandemic). She has served on numerous doctoral committees, most recently examining Balázs Renáta's work on contemporary Hungarian and Finnish national literary history constructions (2025). Her research has been supported by prestigious Humboldt Scholarships at Bielefeld University (2010-2011, 2018). She leads the Translation Workshop at Károli Gáspár University and has been instrumental in establishing the university's translation laboratory. Her international research group 'Kódváltás a kortárs művészetben' (Code-Switching in Contemporary Art) continues to produce significant scholarly work bridging linguistic and artistic disciplines.

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +۶ مورد دیگر

Francesco Strada is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. He serves as a Course Lecturer for Virtual Reality and Technical Art for Cinema and Video Games, and as a Course Collaborator for multiple courses across Computer Engineering, Film and Media Engineering, and Architecture programs. He is an active member of the College of Computer, Film and Mechatronics Engineering and the College of Architecture and Design teaching committees. Dr. Strada's research focuses on Computer Graphics, Virtual Reality, Augmented Reality, and Human-Computer Interaction with particular emphasis on Embodied Conversational Agents, emotion recognition, and serious games applications. His work bridges technical computer science with psychological and human factors considerations to create more believable and effective virtual experiences. His research spans applications in education, healthcare, automotive interfaces, cultural heritage, and emergency response training. His recent publications demonstrate a strong trend toward emotionally intelligent virtual agents, VR/AR applications in specialized domains, and technical innovations in latency management and digital human representation. His work often combines psychological principles with technical implementations to enhance user experience and system effectiveness. Dr. Strada actively supervises PhD students including Alessandro Emmanuel Pecora, Stefano Calzolari, and Leonardo Vezzani, whose research focuses on Emotionally Aware Embodied Conversational Agents (E2CA) and Car AR-HUD design. He leads significant research projects including Holo-BLSD (2024-2025), a Mixed Reality tool for first aid emergency response training, and '50 shadows of AI' (2025), focusing on personalized education in corporate settings. He is a member of the CGVG - Computer Graphics and Vision Group at DAUIN, where his team develops cutting-edge applications in AR/VR, Human-Computer Interaction, User Experience, Computer Vision, Machine Learning, and Artificial Intelligence. His research has practical applications in education, training, healthcare, automotive interfaces, and cultural heritage preservation.

Stéphane BORDASمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanics
• Finite Element Methods
• +۶ مورد دیگر

Stéphane BORDAS is a Full Professor in Computational Mechanics at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computational Mechanics (Legato) research group. His work focuses on free boundary problems, method development for complex geometries, and applications in fracture mechanics, biomechanics, and computational engineering. He previously held roles at Cardiff University and the Swiss Federal Institute of Technology in Lausanne (EPFL). His research integrates computational methods like XFEM, isogeometric analysis, and meshfree techniques to address challenges in engineering and medicine. Education: Ph.D. in Theoretical and Applied Mechanics, Northwestern University (2003) M.Sc. in Civil Engineering, École Spéciale des Travaux Publics and Northwestern University (1999) Research Interests: Computational Mechanics, Biomechanics, Finite Element Methods, Fracture Mechanics, High-Performance Computing, Isogeometric Analysis. Grants & Projects: ERC Starting Grant (RealTCut) for surgical simulation and material cutting FP7 ITN INSIST for meshless methods Labs/Teams: Computational Mechanics (Legato) Group at the University of Luxembourg. His work bridges academia and industry, with applications in aerospace, biomedical engineering, and materials science. He is active in open-source software development, including codes for XFEM, isogeometric analysis, and meshfree methods.

James Floryمشاهده پروفایل

دانشیار

• Pharmacoepidemiology
• Diabetes Management
• Clinical Trials
• +۳ مورد دیگر

James Flory is an Associate Professor of Population Health Sciences at Weill Cornell Medical College , Cornell University. With an MD and MSCE from the University of Pennsylvania (2009) and a BA from Columbia University (2002), he specializes in pharmacoepidemiology and clinical research related to diabetes management, drug safety, and healthcare policy. Education: M.D., University of Pennsylvania School of Medicine, 2009 M.S.C.E., University of Pennsylvania School of Medicine, 2009 B.A., Columbia University, 2002 His research focuses on the intersection of diabetes pharmacology , cardiovascular risk , and health services research . He has contributed extensively to understanding drug safety (e.g., sulfonylureas, SGLT2 inhibitors, TRK inhibitors), medication adherence , and clinical decision-making in diabetes and oncology settings. His methodological work includes instrumental variable analysis , pragmatic trial design , and real-world data validation . James Flory's recent publications examine temperature-related diabetes complications , AI in clinical decision support , and policy impacts on medication utilization . His work combines epidemiological methods with health informatics to address critical questions in diabetic care , drug safety surveillance , and health equity .