جست‌وجوی استاد و پژوهشگر

Zaw Myo TUNمشاهده پروفایل

پژوهشگر ارشد

• Epidemiology
• Global Health
• Tuberculosis Vaccines
• +۳ مورد دیگر

Zaw Myo TUN is a Research Fellow (Adjunct) at the Saw Swee Hock School of Public Health, National University of Singapore, and serves as Senior Manager (Research and Evaluation) at IRD Global Singapore. His academic career includes roles such as Postdoctoral Fellow (2022) and Research Associate (2013–2021) at the same school. He holds a PhD from NUS (2016–2021), an MSc in Epidemiology from the London School of Hygiene & Tropical Medicine (2011–2012), and an MBBS from the University of Medicine, Mandalay, Myanmar (2003–2008). His research focuses on epidemiology, global health, tuberculosis vaccines, and public health policy. Key interests include maternal vaccination coverage in low-resource settings, hospital-acquired infections (e.g., MRSA), antibiotic resistance, and the ethical implications of pandemic control measures. He has contributed to studies on SARS-CoV-2 transmission dynamics, road traffic injury patterns in Bhutan, and malaria drug policy compliance in India. His publications analyze public perceptions of health policies, such as during the COVID-19 pandemic, and explore factors influencing healthcare behaviors in diverse populations. His work bridges clinical data (e.g., electronic medical records) and population-level health surveillance to inform evidence-based interventions. While no awards are explicitly mentioned, his research has addressed critical global health challenges like tuberculosis control in Myanmar and antimicrobial stewardship in Singapore primary care settings. Zaw Myo TUN’s career emphasizes translational research, linking academic findings to real-world health system improvements. His roles span academia and non-profit sectors, reflecting a commitment to addressing public health disparities through collaborative, policy-driven solutions.

Benjamin Carrison-Schaferمشاهده پروفایل

دانشیار

• Reconfigurable Computing
• FPGAs
• Electronic Design Automation
• +۷ مورد دیگر

Benjamin Carrison-Schafer is an Associate Professor and Assistant Dean for Graduate Student Success at the Department of Electrical and Computer Engineering, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He leads the Design Automation and Reconfigurable Computing Laboratory (DARClab), focusing on systems, high-level design, and programming methodologies for VLSI computing systems and FPGAs. Education: MBA from McGill University, Canada (2012) PhD in Electrical and Electronic Engineering from University of Birmingham, UK (2003) Research Interests: His work spans modeling, analysis, synthesis, optimization, and implementation of VLSI systems. Current projects include: Approximate Computing, High-Level Synthesis Design Space Exploration, Hardware Security, Behavioral MPSoC Optimization, and Automatic Fault-Tolerant System Generation. His research blends theory and practice, using analytical and experimental techniques to solve real-world problems. Publication Trends: Recent publications demonstrate strong focus on hardware security, FPGA optimization, and automated design methodologies. Key themes include High-Level Synthesis innovations, hardware acceleration techniques, and cross-disciplinary applications of reconfigurable computing. His work frequently addresses challenges in hardware trustworthiness, energy efficiency, and design automation scalability. Professional Activities: Associate Editor: IEEE Transactions on Sustainable Computing (2022-present) Conference Chair: ICCD 2024, DCAS 2024 Program Committee: ASP-DAC, DATE, FCCM, GLSVLSI Advising & Labs: Supervises multiple PhD and Master's students at DARClab. Current research includes domain-specific architecture design, hardware security, sustainable computing, and ML for VLSI design. The lab collaborates with industry partners like Renesas Electronics and develops commercial tools through spin-off company highX Technologies.

Christopher Pottsمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Semantics
• +۵ مورد دیگر

Christopher Potts is Professor and Chair of Linguistics at Stanford University, with a courtesy appointment as Professor of Computer Science. He serves as Director Emeritus of the Stanford Center for the Study of Language and Information (CSLI) and leads the Pragmatic Enrichment & Contextual Interface Lab. His work bridges theoretical linguistics and computational approaches to language understanding. Education: B.A. in Linguistics from New York University (1999) Ph.D. in Linguistics from University of California, Santa Cruz (2003) Potts' research focuses on how computational methods can illuminate linguistic phenomena, particularly in the areas of semantics, pragmatics, and sentiment analysis. His work explores how emotion is expressed in language and how linguistic production and interpretation are influenced by context. He has made significant contributions to understanding conventional implicatures, sentiment analysis frameworks, and the application of neural networks to linguistic problems. His recent work has increasingly focused on the interpretability of large language models and the development of frameworks like DSPy for building reliable AI systems. An analysis of Potts' recent publications reveals a strong trend toward the intersection of linguistic theory and practical AI applications. His work spans theoretical linguistics (e.g., compositionality, preposing constructions), neural network interpretability, and practical NLP systems (e.g., ColBERT, DSPy). The research demonstrates consistent focus on making language models more transparent, controllable, and linguistically informed, with particular attention to how context shapes meaning. Scientific Awards: Best Paper Award at 2024 ACL for 'Mission: Impossible Language Models' Outstanding Paper Award at 2024 ACL for 'CausalGym' ACL Test of Time Award 2023 Dean's Award for Distinguished Teaching (2015-2016) Best New Data Set or Resource Award at 2015 EMNLP Potts has secured numerous research grants as PI or Co-PI from major organizations including Google, Amazon, NSF, Office of Naval Research, and Stanford's HAI institute. His current projects focus on evaluation of retrieval-augmented generation systems, LLM-mediated communication in organizations, interpretability techniques for language models, and frameworks like DSPy for building next-generation AI systems. He has mentored numerous researchers who have gone on to make significant contributions in NLP and computational linguistics. As Director of CSLI (2013-2020) and current Chair of Linguistics at Stanford, Potts has played a key leadership role in shaping interdisciplinary research at the intersection of language, computation, and cognition. His Pragmatic Enrichment & Contextual Interface Lab continues to be a hub for innovative research combining formal linguistic theory with cutting-edge computational methods.

Eric Wongمشاهده پروفایل

استادیار

• Machine Learning
• Artificial Intelligence
• Explainable AI
• +۵ مورد دیگر

Eric Wong is an Assistant Professor in the Department of Computer and Information Science at the University of Pennsylvania, affiliated with the ASSET Center and leading the Brachio Lab. His research focuses on robust and reliable machine learning, including model debugging, adversarial robustness, and explainable AI. He holds a PhD from Carnegie Mellon University (CMU), advised by J. Zico Kolter, and completed a postdoc with Aleksander Madry. His work bridges theory and practice, addressing challenges in model interpretability, safety, and scalability. Teaching includes CIS 5200 (Machine Learning), CIS 3333 (Mathematics for Machine Learning), and a specialized course on debugging ML pipelines. Notable contributions include the FIX Benchmark for interpretable features and defenses against LLM jailbreaking attacks. He received an Amazon Research Award in 2024 and has published extensively in top conferences like ICML, NeurIPS, and ICLR. Affiliations: University of Pennsylvania (CIS), ASSET Center, Brachio Lab Education: PhD in Machine Learning (CMU), Postdoc at MIT Key Projects: FIX Benchmark, DOLPHIN framework, SmoothLLM defense Awards: Amazon Research Award (2024) Lab Focus: Safe AI, model debugging, neurosymbolic learning

Jon Singletaryمشاهده پروفایل

استاد

• Social Work Education
• Congregational Community Ministries
• Community Development
• +۵ مورد دیگر

Jon Singletary serves as Dean and holds the Diana R. Garland Endowed Chair of Child and Family Studies at Baylor University's Diana R. Garland School of Social Work. He joined Baylor in 2003 after earning his PhD in Social Work from Virginia Commonwealth University (VCU), alongside an MSW from VCU and MDiv from Baptist Theological Seminary. His career includes prior roles as Associate Dean (2010–2015) before becoming Dean in 2015. Before academia, Singletary worked as a pastor, community organizer, and social service administrator. His research focuses on strengthening congregational ministries, community development, and advocacy for vulnerable populations. Notable projects include launching the Texas Hunger Initiative and directing the Strengthening Congregational Community Ministries Project. He co-founded the Faith and Service Technical Education Network (FASTENnetwork.org) to bridge faith-based organizations and social service sectors. His publications explore spirituality's role in social work, faith-based program development, and community organizing strategies. Recent work examines career resilience among professionals in aging care and leadership development through Enneagram frameworks. Earlier research addressed child food security, orphan care in Kenya, and rural community capacity building. Singletary's leadership emphasizes integrating faith and practice, evidenced by his edited volumes on Christianity and social work, and his advocacy for competency-based education models. He holds leadership roles in national organizations like the North American Association of Christians in Social Work and has advised global initiatives in Africa.

Claudia Peusمشاهده پروفایل

استاد

• Leadership Development
• Digital Age Management
• Research Organization Leadership
• +۳ مورد دیگر

Prof. Dr. Claudia Peus is a full Professor of Research and Science Management at the Technical University of Munich (TUM) School of Management , serving since May 2011. She holds executive roles as Founding Director of the TUM Institute for LifeLong Learning (TUM IL3) since December 2019 and Executive Vice President for Talent Management and Diversity since October 2017. Her career spans visiting positions at MIT's Sloan School of Management and Harvard University, alongside her habilitation (2011) and PhD (2005) from LMU Munich. Current affiliations: TUM School of Management, TUM IL3, RWI – Leibniz Institute for Economic Research Research focuses: Leadership development in the digital age, diversity in organizations, ethical leadership, and research organization management Recent research trends analyze digital leadership dynamics, gender-decoded recruitment practices, robotic leadership interfaces, and neurophysiological mechanisms in leadership behavior. Her 2025 work on moral careers and 2024 resource-based absorption theory highlight evolving themes in organizational psychology. Scientific honors include: Highly Cited Research Award, Leadership Quarterly (2016) Emerald Citations of Excellence (2016) Best Teaching Award, TUM School of Management (2014) Academy of Management Symposium Award (2010) Bayerische Landesbank Wissenschaftspreis (2006) Prof. Peus advises organizations on diversity and talent management. She was recognized as one of Germany's Most Inspiring Women (2020) and leads projects like FührMINT, ForGenderCare, and the TUM Neurophysiological Leadership Lab (NeLeLab).

Peter Hendersonمشاهده پروفایل

استادیار

• AI safety
• Foundation models
• Law and AI
• +۷ مورد دیگر

Peter Henderson is an Assistant Professor at Princeton University with joint appointments in the Department of Computer Science and the School of Public and International Affairs. He is affiliated with the Center for Information Technology Policy (CITP), Princeton Language and Intelligence Initiative (PLI), Center for Statistics and Machine Learning (CSML), and Program in Law & Public Policy (PLAW). J.D./Ph.D., Stanford University, 2023 M.Sc., McGill University and Montréal Institute for Learning Algorithms Henderson's research focuses on the critical intersection of artificial intelligence and law, with particular emphasis on AI safety, methods to improve reasoning in foundation models, interdisciplinary approaches to law and AI, and AI governance. His work spans language-grounded reinforcement learning, alignment techniques, strategic decision-making in legal contexts, and public interest artificial intelligence. He investigates how legal frameworks can guide the development of AI systems that benefit society while addressing potential harms. Henderson's recent publications reveal a strong trajectory toward addressing the safety, governance, and legal implications of foundation models. His work combines rigorous technical AI research with deep legal analysis, particularly examining how intellectual property law interacts with AI development, regulatory pathways that balance innovation with harm prevention, and the role of law in shaping responsible AI deployment. A significant thread throughout his research is the development of better evaluation methodologies for AI systems, especially in critical domains like law. SEAS Excellence in Teaching Award (2025) Henderson leads the Princeton Law+Language, AI, & Society (POLARIS) Lab, where he advises students and researchers working at the intersection of AI and legal studies. His research has been supported through collaborations with government agencies, including work with the IRS on audit selection algorithms. His findings have informed practical applications in government efficiency and equity, as well as legal system improvements. Henderson runs the POLARIS Lab at Princeton, which focuses on developing AI systems that work for the public interest, particularly in legal contexts. His team develops sequential decision-making systems for government efficiency, foundation models capable of reasoning about law, and improved safety evaluation frameworks for AI systems. The lab maintains strong connections with legal practitioners and policymakers to ensure research has real-world impact.

Melissa Coyleمشاهده پروفایل

مدرس ارشد

• Sport Psychology
• Exercise Science
• Mental Health
• +۳ مورد دیگر

Melissa Coyle is a Senior Lecturer at the School of Sport, Exercise and Rehabilitation, Marjon University. She specializes in sport and exercise psychology, focusing on applications in sport science, coaching, physical education, outdoor education, and health and well-being. Her qualifications include HCPC registration as a sport and exercise psychologist, BASES chartered scientist, and BASES-accredited sport scientist (Psychology), alongside a PGCert, MSc, and BSc. Her research explores psychological factors in high-stakes environments, including military training, cancer patient exercise programs, and aging populations. Notable studies include a qualitative evaluation of an 8-week exercise referral program for cancer patients and an investigation into psychological factors in Royal Artillery Army Commando training. She has also examined motivations and barriers to indoor bowls participation among over-65s and mental health transitions in university students. Dr. Coyle has been awarded grants for studies like 'Psychological factors in Army Commando training' and 'Exercise adherence for cancer recovery.' Her publications span journals like Psychology of Sport and Exercise and conferences such as the Association of Applied Sport Psychology. She actively contributes to professional bodies like HCPC and BASES. Her teaching emphasizes practical applications of psychology in sports and health, complemented by research-driven insights. Beyond academia, she is an avid golfer and hill walker.

Stefanos Zeniosمشاهده پروفایل

استاد

• Operations Research
• Innovation
• Entrepreneurship
• +۳ مورد دیگر

Stefanos Zenios is Professor at Stanford Graduate School of Business with dual appointments in Entrepreneurship and Operations, Information & Technology . He directs Stanford GSB’s Center for Entrepreneurial Studies and co-directs the Doerr School of Sustainability ’s Program in Ecopreneurship. His Startup Garage course has launched companies like DoorDash while alumni have raised over $3B in venture capital. He co-authored the foundational Biodesign textbook and previously served as Editor-in-Chief of Operations Research . PhD, MIT Operations Research (1996) MA, University of Cambridge (1996) BA, University of Cambridge (1992) Research Focus Dr. Zenios’ work bridges operations research and innovation management , with significant contributions to: Healthcare operations : Administrative cost reduction, organ allocation optimization, and clinical workflow improvements Entrepreneurship : Venture creation frameworks and experiential education Ecopreneurship : Sustainable business model innovation His Precedents Thinking framework (HBR 2025) has gained global recognition for solving systemic inefficiencies. Current research includes the biennial Search Fund Study with Peter Kelly. Scientific Recognition INFORMS Fellow Multiple Best Paper Awards, INFORMS CAREER Award, National Science Foundation (2000) Dhirubhai Ambani Faculty Fellow (2017–2020) George E. Nicholson Award (1997) He has received extensive media coverage in Fast Company , Time Magazine , and Stanford Business . His research has been featured in over 150 press mentions including JAMA , Harvard Business Review , and Health Affairs .

Linda Morriceمشاهده پروفایل

استاد

• Refugee Education
• Migration Studies
• Informal Learning
• +۵ مورد دیگر

Linda Morrice is a Professor of Education and Migration at the School of Education and Social Work, University of Sussex. She specializes in the intersection of refugee/migration studies with education, focusing on informal learning, social integration, and exclusion. Her research spans both the Global North and South, emphasizing refugee access to higher education and policy implications. Current role: Co-Director, Centre for International Education (2021-2024) Education: BA(Hons) in Social Anthropology (University of Sussex), PgDip (Birkbeck, 2004), MA (University of Sussex, 2005), Doctorate in Education (University of Sussex, 2010) Her scientific work explores refugee education through participatory methodologies, creative/narrative methods, and life history approaches. Recent publications analyze racialized borders, digital technology’s role in refugee well-being, and sanctuary city frameworks. Supervision interests include refugee family dynamics, informal pedagogies, and gendered policy impacts. Key grants include UKRI funding for digital well-being of unaccompanied refugee children (2024-2027), ESRC projects on longitudinal qualitative studies (2023-2024), and AHRC research on refugee cultural values (2013-2014). She has led evaluations for the Home Office and Queen Rania Foundation. Professional roles: Co-Chair, Sussex University of Sanctuary group (2019-2024) Advisory member for Home Office integration frameworks and vulnerable persons resettlement schemes Labs/teams: Founding member of University of Sussex Sanctuary Group and Brighton & Hove Sanctuary on Sea. Her research emphasizes participatory practices with refugee communities and longitudinal tracking of social networks.

• Uncertainty Reasoning and Decision Making in Artificial Intelligence
• Electronic Business
• Systems Analysis and Design
• +۷ مورد دیگر

Liping Liu is a Professor in the Department of Management at The University of Akron's College of Business. He holds a Ph.D. in Business from the University of Kansas (1995), Master of Engineering in Systems Engineering (1991), and dual bachelor's degrees in Applied Mathematics (1986) and River Dynamics (1987). Ph.D., University of Kansas MS, Huazhong University of Science and Technology B.E., Wuhan University BS, Huazhong University of Science and Technology His research spans Artificial Intelligence , Electronic Business , Systems Analysis , Data Quality , and Belief Function Theory . He pioneered coarse utility theory and linear belief functions , now taught in top Ph.D. programs across multiple disciplines. Key trends in his publications include Belief Function Applications (2012-2024), Medical Data Systems (2003-2015), and Decision Theory (2004-2014). Recent works focus on Gamma Belief Functions (2024) and computational improvements in linear belief function operations (2019-2016). Scientific contributions recognized via: Microsoft Azure Educator Grant (2014-2016) Inclusion in Who's Who in America (2010-2013) and Who's Who in the World (2011-2013) As an editor and committee member for major conferences (INFORMS, AMCIS, Belief Functions conferences), he bridges academic research with practical systems implementation in e-business and healthcare domains.

Siân Bayneمشاهده پروفایل

استاد

• Higher Education Futures
• Utopian Studies
• Digital Education
• +۹ مورد دیگر

Professor Siân Bayne is a leading academic in digital education at the University of Edinburgh , where she serves as Assistant Principal for Education Futures and directs the Centre for Research in Digital Education . Her work bridges critical theory and practical innovation in higher education. Interdisciplinary research on digital education and futures studies Leadership in the Edinburgh Futures Institute and Moray House School of Education and Sport Global impact through UNESCO collaborations and UKRI GCRF projects Bayne’s research explores higher education futures , utopian theory , and digital enhancement , with a focus on: AI’s role in teaching and learning Ethical implications of educational technologies Anonymous social media in academic spaces Speculative scenarios for educational systems Global South digital education models Augmented reality applications in assessment Her 15 most recent publications span 2017-2025 , covering critical perspectives on: Generative AI and educational innovation Utopian design in universities Data governance in learning analytics Augmented reality pedagogy Digital cultural heritage Scientific recognition includes: IASH Sabbatical Fellowship (2023) Bayne leads Higher Education Futures initiatives and partners with institutions worldwide, including: UNESCO Global Education and Technology Report World Bank collaborations European university leadership programs She also drives major research centers like: Centre for Research in Digital Education UKRI GCRF Urban Disaster Risk Hub

Sezgin Ayabakanمشاهده پروفایل

دانشیار

• Healthcare Analytics
• Business Value of Information Systems
• Data Analytics Techniques
• +۵ مورد دیگر

Dr. Sezgin Ayabakan is an Associate Professor in the Department of Management Information Systems at the Fox School of Business and Management, Temple University . He holds a PhD in Management Science from the University of Texas at Dallas, with a focus on Management Information Systems (MIS), an MS in Industrial and Systems Engineering from the University of Florida, and a BS in Industrial Engineering from Bilkent University in Turkey. His research focuses on healthcare analytics , particularly exploring how health information technology (HIT) impacts healthcare costs, quality, and utilization. Key research interests include data analytics applications in healthcare and social media, the business value of information systems, and open-source production strategies. He has examined topics such as telehealth efficacy, electronic health record (EHR) adoption challenges, hospital readmission reduction programs, and the interplay between healthcare IT and clinician well-being. Dr. Ayabakan teaches undergraduate and graduate courses in information systems, including MIS 2101: Digital Systems and SBM 3586: Diamond Peer Teachers - Internship II . His work has been published in top-tier journals like MIS Quarterly and Health Services Research and Management Epidemiology , with recent studies addressing telehealth utilization, EHR strategy impacts, and the role of organizational routines in clinician satisfaction. While no formal awards are listed, his contributions to healthcare IT research demonstrate significant academic impact. His advisory and grant activities are not detailed in the provided text, but his research often intersects with practical healthcare system challenges, suggesting potential collaborations with healthcare institutions and policy organizations.

• Distributed Computing
• Wireless Networks
• Distributed Systems
• +۴ مورد دیگر

Prof. Roger Wattenhofer is a Full Professor at the Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland, and Deputy head of the Computer Engineering and Networks Lab. He holds a doctorate in Computer Science from ETH Zurich (1998) and has held positions at Brown University and Microsoft Research before returning to ETH. His research focuses on distributed computing, wireless networks, and algorithmic systems design, with contributions to Byzantine agreement protocols, blockchain technologies, and neural network architectures. He teaches courses such as Distributed Systems and Computational Thinking. Education: Ph.D. in Computer Science (ETH Zurich, 1998). Research interests include distributed systems, network algorithms, and the intersection of machine learning with distributed computing. His work spans both theoretical foundations and practical implementations, addressing challenges in fault tolerance, consensus mechanisms, and algorithmic efficiency. Recent publications explore topics like adversarial robustness in voting systems, privacy in reinforcement learning, and generative music models. He actively contributes to open-source frameworks and benchmarks for neural algorithmic reasoning.

Colleen Conleyمشاهده پروفایل

استاد بالینی

• Developmental Psychology
• Clinical Psychology
• Mental Health Interventions
• +۵ مورد دیگر

Colleen Conley is a Clinical Professor in the Department of Psychology at Loyola University Chicago, specializing in clinical psychology with a focus on adolescent and emerging adult mental health. She directs the IMPACT (Improving Mental-health and Promoting Adjustment through Critical Transitions) Lab, which conducts research on psychological well-being during developmental transition periods. Dr. Conley earned her Ph.D. from the University of Illinois at Urbana-Champaign and her B.A. from Lawrence University. Her research program blends observational studies, meta-analyses, and intervention development to improve well-being, particularly during critical life transitions like the college years. Her work examines psychological trajectories in adolescence and emerging adulthood, with special attention to gender issues and LGBTQIA+ well-being. Her research interests center on developmental psychopathology, examining the interplay between individuals and their contexts over time. She investigates how biological, psychological, cognitive, and social factors interact to influence psychological distress and well-being. Much of her work focuses on college student mental health, including trajectories of well-being during the transition to college and interventions to address mental health challenges. Analysis of her recent publications reveals a strong focus on college student mental health, with emphasis on developmental trajectories, intervention effectiveness (particularly peer-led and technology-delivered approaches), and the impact of transition periods on psychological functioning. Her work increasingly incorporates digital interventions and examines moderators of intervention effectiveness across diverse student populations. Research Mentoring Award Program recognition for mentoring award-winning students Heckler Summer Research Fellowship recognition for mentoring fellowship recipients Dr. Conley mentors numerous graduate students in the clinical psychology program, with many completing dissertations on topics related to mental health interventions, student well-being, and developmental transitions. Her IMPACT Lab collaborates with university staff, administrators, and other researchers to develop practical interventions that address student mental health needs. Current projects include Honest, Open, Proud (HOP) for stigma reduction, Wellness Advising with Motivational Interviewing (WAMI), Students Taking on Effective Post-Graduate Skills (STEPS), and Supportive Accountability Methods for Mentoring Young Adults (SAMMY-A). The lab also partners with commercial entities like Headspace for mindfulness research.