جست‌وجوی استاد و پژوهشگر

Pauline Whelanمشاهده پروفایل

پژوهشگر ارشد

• Digital Health
• Mental Health
• Public Health
• +۳ مورد دیگر

Pauline Whelan is an Honorary Senior Research Fellow in Digital Health at the University of Manchester, associated with the Division of Informatics, Imaging & Data Sciences (L5). She holds multiple roles including Academic & Technical Lead of the Digital Health Software Team, Digital Director of the GM.Digital Research Unit (Greater Manchester Mental Health NHS Foundation Trust), and Chief Technology Officer at CareLoop Health Ltd, a University spin-out focusing on digital mental health solutions. Her qualifications include a BA (Mod Hons) in Computer Science, MSc in Psychology, and PhD in Higher Education Policy. Research focuses on digital health interventions, particularly in mental health, chronic pain management, and co-design methodologies with marginalized populations. She leads projects addressing gig worker mental health, technology-assisted sexual abuse survivors, and culturally-adapted family interventions for psychosis. Key research interests include digital screening tools for postnatal depression, clustering analysis for chronic pain subgroups, and participatory design approaches with lived experience contributors. She has contributed to 30+ research outputs and led datasets such as a core mental health collection tool for clinical trials and app-based interventions for frontline workers. Whelan's work aligns with UN SDG 3 (Good Health & Well-being) through scalable digital solutions. Current projects include a systems approach to gig worker mental health resilience and prototypes for pharmacogenomics services in primary care. She collaborates across academia, industry, and NHS trusts to bridge technological innovation with healthcare delivery.

• Cryptography
• Cybersecurity
• Privacy-Preserving Technologies
• +۵ مورد دیگر

Thomas Ristenpart is a Professor in the Department of Anthropology at Cornell University, affiliated with the College of Arts and Sciences. He also directs the Clarke Program in East Asian Law and Culture. His work bridges cybersecurity, cryptography, and social sciences, focusing on digital safety, privacy, and authentication systems. Research interests include mitigating cybersecurity threats in intimate partner violence, encryption protocols, and ethical machine learning applications. He leads projects funded by NSF and international collaborations, addressing challenges like authenticated encryption and abuse prevention in encrypted communications. Notable projects include developing trauma-informed computing frameworks, analyzing creepware tactics, and designing systems like Might I Get Pwned for breach alerts. His work emphasizes interdisciplinary approaches to safeguard users, especially vulnerable populations, through secure infrastructure and ethical research practices. Grants: NSF-BSF projects on authenticated encryption and abuse prevention Labs/Teams: Clarke Program in East Asian Law and Culture

Michael Oglesbyمشاهده پروفایل

استاد

• Medical Education
• Health Systems Science
• Cognitive Sciences
• +۳ مورد دیگر

Michael Oglesby is a Professor in Medical Education & Health Systems Science at the Texas College of Osteopathic Medicine (TCOM), part of the University of North Texas Health Science Center. His roles include Administrative Course Director for 8 of 9 Systems courses in Year 2 and one in Year 1 of TCOM's medical curriculum. He oversees course organization, faculty collaboration, examination development, and curriculum alignment with Medical Practice components. Education: PhD in Pharmacology from the State University of New York (SUNY) and a BA in Psychology from The University of Chicago. His research focuses on cognitive science principles applied to medical education and behavioral pharmacology, particularly substance abuse. He coordinates community initiatives linking students with the Betty Ford Center for hands-on recovery center experience. Research areas span pharmacological influences on learning/memory, cocaine addiction mechanisms, dopamine neurotransmission dynamics, and nicotine's behavioral effects. His work integrates neurobiological insights with practical medical education strategies. Advising and grants: No specific advisees or grants listed in provided materials. Collaborative efforts involve faculty coordination in curriculum development and community partnerships.

Helen Yannakoudakisمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Machine Learning
• Few-Shot Learning
• +۵ مورد دیگر

Helen Yannakoudakis is a Senior Lecturer in Natural Language Processing at King's College London's Department of Informatics, affiliated with the University of Cambridge's NLIP Group. She holds a PhD from the University of Cambridge and has served as a Turing Fellow and Fellow of the Higher Education Academy. Her research focuses on machine learning for NLP, including few-shot learning, meta-learning, and societal applications like hate speech detection and educational tools. She has won the NeurIPS 2020 Hateful Memes Challenge and led the development of Write&Improve, an automated writing assessment system. Education: PhD in Natural Language Processing (University of Cambridge), MPhil in Computer Speech, Text & Internet Technology (Cambridge), BSc in Computer Science (Athens University of Economics & Business). Research Interests: Few-shot learning, multilingual NLP, abusive language detection, mental health detection, and automated language teaching. Her work bridges machine learning and education, with applications in bias mitigation and ethics in AI. Publications: Over 20 peer-reviewed papers in top venues (ACL, NeurIPS, EMNLP) covering topics like GEC, hate speech detection, and meta-learning frameworks. Recent work includes prompting LMs for language education and commonsense-enhanced transformers for comprehension. Awards & Roles: Area Chair for ACL 2025/NeurIPS 2024, co-founder of Kinhub (AI education tools), and contributor to the English Profile Programme. Her research emphasizes ethical AI and real-world societal impact.

Flavio Argiro'مشاهده پروفایل

دانشیار

• Criminal Law
• Legal Theory
• Penal System
• +۵ مورد دیگر

Flavio Argiro' is an Associate Professor of Criminal Law (IUS/17) at the Department of Law, Economics, Management and Quantitative Methods (DEMM) at University of Sannio. He maintains office hours on Tuesdays from 2:00 pm to 4:00 pm at De Simone Palace and can be contacted at fargiro@unisannio.it or by phone at 3382512624. For the 2025/2026 academic year, he teaches Criminal Law for the Law degree program and Workplace Safety for the Digital Administration Sciences program. Professor Argiro's research spans multiple dimensions of criminal law with particular focus on theoretical foundations, historical evolution, and contemporary applications. His work demonstrates expertise in traditional criminal law domains while extending into emerging areas like cybercrime, medical law, and financial regulations. He has published extensively on topics including criminal responsibility, participation theory, organized crime, and the intersection of criminal law with other legal domains. His publication record shows consistent scholarly output from 2004 through 2021, with recent work focusing on contemporary issues such as cannabis legislation, digital privacy, and negligent facilitation. The research demonstrates both theoretical depth and practical relevance to current legal challenges, with publications appearing in Italian legal journals and edited volumes. Professor Argiro' has developed a distinctive scholarly approach that bridges historical analysis with contemporary legal challenges, particularly evident in his work comparing ancient and modern legal systems. His publications reveal expertise in both Italian criminal law and comparative perspectives, including German legal scholarship as evidenced by his work on the Bundestrojaner case.

Elena A. Eroshevaمشاهده پروفایل

استاد

• Statistical methodology for social sciences
• Bayesian inference
• Discrete data analysis
• +۷ مورد دیگر

Elena A. Erosheva is a Professor of Statistics and Social Work at the University of Washington , where she serves as the Director of the Center for Statistics and the Social Sciences (CSSS). She is also affiliated with the School of Social Work and has made significant contributions to statistical methodology for the social, behavioral, and health sciences. Professor, University of Washington (Statistics & Social Work) Director, Center for Statistics and the Social Sciences (CSSS) Joint appointment with School of Social Work Editorial board member for top journals including Annals of Applied Statistics and Psychometrika Her research focuses on: Bayesian inference and hierarchical models Mixed membership and latent variable models for complex data Statistical approaches for longitudinal and multivariate categorical data Applications in social sciences, health, and medical research Gender homophily in academic collaborations Measurement of chronic disability and cognitive outcomes Recent publications analyze: Statistical learning models for rankings and scores Gender-based homophily in scholarly collaborations Variational inference techniques Mixed outcome latent variable models for neuroscience Methodology for detecting bias in peer review Major awards include: 2021 Fellow, American Statistical Association 2024 Elected Member, International Statistical Institute 2013 Mitchell Prize for Bayesian contributions 2014 America Competes Act Challenge winner She has advised numerous research projects and served as a PI for NIH-funded work on cognitive outcomes with advanced psychometrics.

Prashant Pillaiمشاهده پروفایل

استاد

• Network Security Protocols
• Cyber Security for Autonomous Systems
• Critical National Infrastructure Security
• +۳ مورد دیگر

Prof Prashant Pillai is a globally renowned academic leader and Professor of Cyber Security at the University of Wolverhampton , School of Mathematics and Computer Science. He currently serves as Pro Vice-Chancellor for Research and Knowledge Exchange, Director of Cyber Quarter (Midlands Centre for Cyber Security), and former Associate Dean for Research and Director of the Wolverhampton Cyber Research Institute. His career spans leadership roles at Oxford Brookes University and the University of Bradford. PhD in Authentication, Authorisation, and Accounting Frameworks from the University of Bradford MSc and BSc in Informatics and Electronics from the University of Delhi Research interests include applying AI to cybersecurity, developing security solutions for safety-critical systems (smart grids, autonomous vehicles, robotics), network security protocols, and data analytics for cyber threats. His work focuses on heterogeneous networks, secure wireless communication, and IoT. Recent publications highlight trends in 5G-satellite integration , vehicular health monitoring , mobile edge security , and blockchain for supply chain , reflecting his expertise in hybrid communication systems and critical infrastructure protection. Over 100 peer-reviewed papers and book chapters demonstrate his impact in AI-driven security and protocol innovation. Scientific awards and recognitions include: MBE (2023) for services to cybersecurity and education 75 at 75 Achievers (2023) in Education, Science, and Innovation Fellow of British Computer Society (FBCS) Fellow of Higher Education Academy (FHEA) Advising : Supervised doctoral research on topics like network slicing in 5G , malware detection , and threat modeling for smart cities . Grants include funding from EU Horizon, Innovate UK, British Council, and MHCLG for projects like CyberMIND (AI for cybersecurity mental health), Digital Enterprise , and Hereford Cyber Security Centre . Labs and teams : Leads the Wolverhampton Cyber Research Institute (20+ staff) and IEEE blockchain initiatives. Research pillars: Cyber Security, AI, and Cyber-Physical Systems.

• Criminal Law
• Criminology
• Cybersecurity Law
• +۴ مورد دیگر

María Ángeles Fuentes Loureiro is a Professor in the Department of Public Law at the Faculty of Law, University of A Coruña, Spain. Her academic work focuses on criminal law, criminology, and related interdisciplinary fields. She teaches various courses including Criminal Law (Special Part), Computer Crime and Cybersecurity, and Environmental Penal Law across multiple degree and master's programs. University: University of A Coruña School: Faculty of Law Department: Department of Public Law Academic Rank: Professor Professor Fuentes Loureiro's research interests span multiple legal domains with a strong emphasis on criminal law and its intersections with contemporary societal challenges. Her work addresses critical issues in criminology, legal psychology, and criminal justice systems in the 21st century. She has developed significant expertise in cybersecurity law, environmental criminal law, animal welfare legislation, and the application of legal frameworks to digital contexts. Analysis of her recent publications reveals a consistent focus on the intersection of criminal law with emerging societal concerns. Her work frequently examines environmental crimes, animal protection legislation, and cybersecurity challenges through a criminal justice lens. There's a notable trend toward interdisciplinary approaches, combining legal analysis with criminological perspectives and social justice considerations. Her scholarship demonstrates particular strength in European legal frameworks and comparative analyses across jurisdictions. Professor Fuentes Loureiro has directed numerous bachelor's and master's theses on diverse legal topics including business secrets and public procurement, inheritance law, deepfakes and legality, human trafficking, gender violence, and environmental crime. Her supervisory work reflects the breadth of her expertise across traditional and emerging legal domains. She participates in significant research projects funded by various entities including the Ministry of Education, University and Vocational Training, the European Commission, and regional government bodies. These projects address important contemporary legal challenges in criminal justice and related fields.

• Cybersecurity
• Machine Learning in Security
• Threat Modeling
• +۴ مورد دیگر

Prerit Datta serves as an Assistant Professor in the Department of Computer Science within the School of Science at The College of New Jersey (TCNJ). He joined TCNJ in 2023 after appointments at Coastal Carolina University (2021-2023) and Texas Tech University, where he completed his Ph.D. in Computer Science in 2022. His educational background includes a doctorate from Texas Tech University. His research focuses on cybersecurity with specialized expertise in threat modeling, cyber attack prediction using machine learning, cloud security vulnerabilities, and privacy concerns in wearable technologies. His work frequently bridges theoretical security frameworks with practical applications, particularly in user-centric security solutions and attack consequence analysis. Dr. Datta's publication portfolio reveals a strong emphasis on contemporary cybersecurity challenges, with 13 recent publications (2015-2022) spanning conferences like ACM SAC, IEEE COMPSAC, and IEEE ICMLA, along with journals such as SN Applied Sciences. His research demonstrates consistent innovation in attack prediction methodologies, cloud-based threat analysis, and human factors in security systems. Among his recognitions, he received the CETL Mini Grant from TCNJ's Center for Excellence in Teaching and Learning in March 2024. He maintains active professional memberships in ACM's SIG on Cybersecurity and Information Technology Education, SIGCSE, and the broader Association for Computing Machinery. Dr. Datta mentors students through mentored research courses and serves on multiple committees including the Cyber Curriculum Committee, MUSE Review Committee, and Colloquium Organizing Committee. He contributes to academic community building as a Hack TCNJ judge, Celebration of Computing reviewer, and presenter for interdisciplinary research colloquia.

• Radiation Epidemiology
• Occupational Health
• Cancer Research
• +۶ مورد دیگر

Dr. Colin Muirhead is a researcher at Newcastle University with extensive publications in radiation epidemiology, public health, and occupational health. His work spans cancer research, alcohol consumption studies, type 1 diabetes trends, and neuroblastoma clustering analysis. Research Interests: Dr. Muirhead investigates radiation-related health risks, alcohol use disorders in clinical populations, and environmental factors influencing childhood cancers. His studies often employ epidemiological modeling and systematic reviews. Publication Trends: Recent articles focus on clinical trials for rare diseases (2025), diabetes epidemiology (2023), neuroblastoma spatial analysis (2022), and digital alcohol interventions (2018). Earlier works examine radiation exposure risks, occupational cancer studies, and maternal health barriers. Collaborative Networks: Coauthored with professors in dermatology, public health, and nuclear medicine (e.g., Timothy Cheetham, Eileen Kaner, Deborah Tweddle). Research covers both European and global health contexts.

• Substance Use Disorder
• Digital Health Interventions
• Wearable Biosensor Technology
• +۲ مورد دیگر

Stephanie Carreiro is an Associate Professor at UMass Chan Medical School's Emergency Medicine department with cross-appointments in the Morningside Graduate School of Biomedical Sciences (Masters in Clinical Investigation and Population Health Sciences). Her work bridges digital health, wearable biosensor technology, and substance use disorder research Education: BA in Biology & Psychology, Rhode Island College MD, New York Medical College Research Interests: Focuses on digital biomarkers for opioid dependence , stress/craving detection in recovery, and AI-driven public health surveillance . Publications span wearable technology validation, machine learning applications in addiction science, and trauma-informed digital interventions. Scientific Contributions: Key areas include Wearable biosensor-based opioid use tracking Cough monitoring for population-level pandemic response Gender disparities in emergency medicine grant funding Digital phenotyping for PrEP adherence Advising & Grants: Collaborates extensively with researchers in toxicology, clinical informatics, and biomedical engineering. Leads projects on digital pill systems, real-time drug use detection, and telemedicine addiction services.

• Economics
• Behavioral Economics
• Cultural Economics
• +۴ مورد دیگر

Avner Seror is a CNRS Research Fellow at Aix-Marseille University's School of Economics, conducting high-impact research at the intersection of economics, culture, and institutions. His position within France's National Center for Scientific Research (CNRS) places him in a dedicated research track focused exclusively on scholarly output without teaching requirements. Seror's research program explores how cultural and religious frameworks shape economic behavior and institutions. Key themes include the impact of religious rituals on judicial decision-making, the co-evolution of cultural norms and economic prohibitions, behavioral biases in survey responses, and child development dynamics. His work combines theoretical modeling with empirical analysis, often leveraging natural experiments and innovative methodologies like the Priced Survey approach. His publication record shows consistent output in top economics journals including Nature Human Behaviour, Journal of Economic Growth, and Journal of Political Economy, with recent work increasingly addressing AI ethics and addiction economics. The research demonstrates strong thematic continuity in examining cultural-religious-economic interactions across historical and contemporary contexts. Scientific recognition includes: SIOE Ronald Coase Medal for 'Religious Leaders and Rule of Law' (2023) As a CNRS researcher, Seror operates within France's structured public research funding system, with primary support from CNRS core funding and competitive project grants. His collaborative network spans international institutions, though the source materials do not specify current grant details or student supervision activities. No dedicated research laboratory or center is associated with his profile; his work appears conducted through standard CNRS/university research frameworks with emphasis on individual and collaborative projects rather than lab-based structures.

• Ecology
• Tree Growth
• Carbon Allocation
• +۴ مورد دیگر

Jarrett Barber serves as an Associate Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. His interdisciplinary research bridges computational approaches with environmental science and public health domains. His primary research interests focus on ecological systems, particularly examining tree growth patterns, carbon allocation mechanisms, and climate impacts on vegetation across the Western United States. Barber's work integrates computational modeling with field observations to understand complex ecological processes. His research fingerprint reveals significant contributions to topics including Tree Growth (100%), Carbon Allocation (66%), Growth Allocation (66%), Unbounded Growth (55%), Ecologists (42%), Allocation Model (42%), Tree Mortality (38%), and Functional Traits (38%). Analysis of his recent publications shows a diverse research trajectory spanning environmental monitoring, ecological modeling, and public health applications. His work demonstrates strong interdisciplinary connections between computational methods and real-world environmental challenges, with particular emphasis on climate change impacts and ecosystem responses. Barber maintains an active publication record with scholarly works spanning from 2018 through 2025, including multiple peer-reviewed journal articles in high-impact environmental science publications. His research has garnered attention across academic and public spheres, with mentions in news outlets, social media platforms, and academic networking sites. His academic contributions include developing computational tools like the ACGCA R package for simulating tree growth and mortality, conducting climate condition analyses related to extreme tree growth states, and investigating environmental monitoring approaches for powerplant emissions. Barber also contributes to public health research, particularly examining health concerns among indigenous populations who inject methamphetamine.

Ofer Harelمشاهده پروفایل

استاد

• Missing Data Analysis
• Causal Inference
• Verification Bias
• +۶ مورد دیگر

Ofer Harel is a Professor in the Department of Statistics at the University of Connecticut , where he also serves as Dean of the College of Liberal Arts and Sciences . His research focuses on advanced statistical methodologies for handling incomplete data, with applications spanning epidemiology, health research, clinical trials, and social sciences. Primary Affiliation: University of Connecticut Roles: Professor of Statistics, Dean of College of Liberal Arts and Sciences Research Focus: Missing data analysis, Bayesian methods, latent class modeling, and statistical applications in public health Research Interests span critical areas including: Missing Data Mechanisms: Developing and refining multiple imputation techniques Latent Class Analysis: Applying to health outcomes and behavioral studies Bayesian Modeling: For spatial and longitudinal health data Statistical Disclosure Control: Protecting sensitive demographic information Health Applications: Covering HIV prevention, cancer survivorship, and mental health Educational Statistics: Integrating computing tools into statistical pedagogy Publication Trends demonstrate expertise in: Advanced imputation frameworks for clinical and epidemiological research Latent class and multilevel modeling for diverse health outcomes Statistical ethics and data confidentiality in public health research Spatial and longitudinal analysis of disease patterns Methodological innovations in handling missing data across multiple disciplines Advising and Collaborative Work includes methodological contributions to: Non-inferiority trial designs with missing data challenges Bayesian spatial modeling applications in global health Improving statistical reporting and reproducibility

• Natural Language Processing
• Clinical NLP
• Interpretable AI
• +۵ مورد دیگر

Betty Van Aken is a researcher specializing in Natural Language Processing with significant contributions to Clinical NLP and Efficient Methods . Her work focuses on interpretable AI, cross-lingual knowledge transfer, and behavioral testing of clinical models, as evidenced by publications in top venues like ACL, EACL, and ClinicalNLP. Her research interests span: Interpretable AI for clinical decision support Efficient NLP methods under resource constraints Cross-lingual transfer learning in medical domains Outcome prediction from clinical text Assertion detection in patient records Toxic comment classification and error analysis Betty's publications from 2018-2023 demonstrate expertise in model design, dataset annotation, and addressing systemic biases. She collaborates extensively with experts in computational linguistics and medical informatics, including Alexander Löser and Felix Gers.