جست‌وجوی استاد و پژوهشگر

Patricia K. Tongمشاهده پروفایل

عضو هیئت علمی

• Economic Policy
• Public Finance
• Labor Economics
• +۱۲ مورد دیگر

Patricia K. Tong is an economist at RAND and a Professor of Policy Analysis at the RAND School of Public Policy. She specializes in public finance and labor economics, with a strong focus on military and civilian personnel policy, compensation, and health economics. Her research addresses critical issues in military personnel retention, family caregiving, retirement benefits, and access to mental and behavioral health services. Research Interests: Tong’s work combines qualitative and quantitative methods to evaluate monetary and nonmonetary compensation policies, labor market outcomes, and social welfare impacts. Her expertise spans economic policy, health economics, military personnel systems, and family support structures. She has led studies on Social Security survivor benefits, tax policy anti-poverty effects, and nurse staffing standards. Publication Trends: Her recent research centers on military compensation, health care access for service members and families, and financial inclusion. Articles reflect a consistent policy-oriented focus, often supporting governmental reviews such as the Quadrennial Review of Military Compensation, and addressing timely issues like pandemic caregiving and unbanked populations. Scientific Contributions: Published in top journals including American Economic Review and Health Economics Key contributor to national policy discussions on military pay, retention, and health care Research used to inform federal and state-level policy decisions Advising and Grants: While specific students are not listed, her leadership in major research projects indicates a supervisory and mentoring role. She has led federally funded studies on military compensation, health care access, and financial inclusion, demonstrating sustained grant support from defense and public policy agencies. Labs and Teams: Tong conducts research within RAND’s interdisciplinary policy teams, particularly those focused on defense, health, and economic security. Her work often involves collaboration with military stakeholders, federal agencies, and public health experts to develop actionable policy solutions.

Rong-Hao Liangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Tangible User Interfaces
• Intelligent Sensing Systems
• +۷ مورد دیگر

Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .

Likoebe Marupingمشاهده پروفایل

استاد

• Information Systems
• Digital Innovation
• Software Development
• +۷ مورد دیگر

Likoebe Maruping is a Professor of Computer Information Systems and Director of the Ph.D. program at Georgia State University's J. Mack Robinson College of Business. He is a member of the Center for Digital Innovation and serves as a senior editor for MIS Quarterly , having previously held editorial positions at Information Systems Research and the Journal of the Association for Information Systems . Previously, he taught at the University of Arkansas and the University of Louisville. Education: Ph.D. in Information Systems, University of Maryland, Robert H. Smith School of Business B.S. in Information Systems, University of Maryland, Robert H. Smith School of Business B.S. in International Business, University of Maryland, Robert H. Smith School of Business Maruping's research spans digital innovation , open source software development , agile methodologies , and team collaboration in dispersed settings . His work explores how leadership styles, particularly empowering leadership , can mitigate stress and improve performance in software development teams. He examines governance in digital platform ecosystems and investigates the relationship between digital technologies and social justice, as evidenced by his 2024 MIS Quarterly special issue contribution. His research often employs multilevel analysis approaches to connect micro and macro phenomena in information systems. Maruping's recent publications reveal a strategic shift toward examining AI innovation frameworks, platform ecosystem governance, and the social implications of technology. His 2025 work on AI innovation contrasts with traditional IT innovation through patent analysis, while his research on digital skill visibility in open source communities demonstrates practical applications of theoretical frameworks. These publications consistently bridge academic rigor with practical business implications. Editorial Recognition: Senior Editor, MIS Quarterly Former Associate Editor, Information Systems Research Former Associate Editor, MIS Quarterly Former Senior Editor, Journal of the Association for Information Systems As Ph.D. program director and former CIS department Ph.D. coordinator, Maruping has advised numerous doctoral students. His leadership extends to strategic program development, curriculum innovation, and enhancing recruitment of diverse doctoral candidates. He frequently leads workshops on multilevel theorizing, as evidenced by his 2023 workshop at Hong Kong Baptist University. His research has been supported through collaborations with major institutions and has influenced both academic discourse and industry practices in information systems management. Maruping is actively engaged with the Center for Digital Innovation at Robinson College of Business, which serves as his primary research hub. His work often involves cross-institutional collaborations with researchers from leading universities worldwide, reflecting the global nature of contemporary information systems research.

Julian Bergerمشاهده پروفایل

پژوهشگر ارشد

• Human-AI Interaction
• Collective Intelligence
• Machine Learning
• +۳ مورد دیگر

Julian Berger is a postdoctoral researcher at the Max Planck Institute for Human Development in the Center for Adaptive Rationality , where he explores how to enhance decision-making through hybrid human-AI systems. He is also a fellow of the Joachim Herz Foundation and has received funding from the Foundation of German Business and the Danish Data Science Academy. Education: M.A. Psychology in Business and Economics, Universidade Catolica Portuguesa (2021) B.A. Politics, Administration and International Relations, Zeppelin Universität (2018) His research spans human-AI collaboration , collective intelligence , and interpretable machine learning . A recurring theme in his work is developing methods to combine human expertise with AI capabilities for accuracy in domains like medical diagnostics , credit scoring , and football analytics . He has authored publications in high-impact venues such as PNAS , Nature Human Behavior , and Science and Medicine in Football . Scientific awards and funding include: Fellowship for interdisciplinary economics, Joachim Herz Foundation (2024) PhD funding from the Foundation of German Business (Stiftung der deutschen Wirtschaft) Research grant from the Danish Data Science Academy His recent article trends emphasize ensembling techniques that leverage complementary human and AI errors, algorithmic fairness, and practical heuristics like Hybrid Confirmation Trees. These works demonstrate significant improvements in diagnostic accuracy and decision cost-efficiency. Beyond academia, Berger works as a consultant and ML engineer with Simply Rational , focusing on interpretable models for financial and sports analytics. His work bridges theoretical research with real-world applications, prioritizing fairness, transparency, and human accountability in AI systems.

Mariya Tonevaمشاهده پروفایل

پژوهشگر

• Machine Learning
• Natural Language Processing
• Neuroscience
• +۵ مورد دیگر

Mariya Toneva is a tenure-track faculty member at the Max Planck Institute for Software Systems , conducting groundbreaking research at the intersection of Machine Learning , Natural Language Processing , and Neuroscience . She leads the Bridging AI and Neuroscience (BrAIN) group , focusing on computational models that align AI systems with human brain processes. Her work aims to enhance both AI capabilities and neuroscience understanding through this cross-disciplinary approach. Actively recruiting postdocs, PhDs, and research interns in areas like code/text representation, brain-AI alignment, and neuroimaging data analysis Collaborator on NIH-funded projects using fMRI and neuropixel data Research Themes : Her group explores neural mechanisms of language processing, event segmentation in narratives, memory reactivation via music, and effective human-AI collaboration frameworks. Key methods include LLM analysis, cross-modal similarity metrics, and naturalistic task-based fMRI studies. Key Publications (2024-2025): Brain-tuned speech models (INTERSPEECH 2025) Cognitive event boundaries in LLMs (Behavioral Research Methods 2025) Music-induced memory reactivation (biorxiv 2024) LLM-brain alignment reasons (EMNLP 2024) Advising : Mentors PhD candidates Omer Moussa (speech processing), Camila Kolling (representational similarity), and Gabriele Merlin (LLM alignment). Collaborates with institutions like MIT, NYU, and ETH Zurich.

David Wainwrightمشاهده پروفایل

مدرس ارشد

• Work, Health and Wellbeing
• Medicalization of Work Stress
• Medically Unexplained Illnesses
• +۵ مورد دیگر

David Wainwright is a Senior Lecturer in the Department for Health at the University of Bath, where he convenes the cross-faculty Work, Health and Wellbeing Research Group and serves as Director of Studies for Professional Doctorate in Health programmes. University of Bath, Department for Health Former affiliations: University of Kent (School of Social Policy, Sociology and Social Research), University of Bristol (Social Medicine Department, MRC Collaboration) Research Focus : Intersections of work, health, and wellbeing, emphasizing: Medicalization of occupational stress Extended working life and pension policy Psycho-social drivers of illness behavior Management of medically unexplained illnesses Recent Projects include: Behavior change interventions for extended working life (DWP-funded) Sickness certification for chronic pain Community-based support for intellectual disabilities Health seeking behavior among homeless populations Collaborations span healthcare policy, chronic pain research, and interdisciplinary studies with institutions like Royal United Hospitals Bath NHS Trust and MRC Health Services Research Collaboration.

Mark S. Hoddleمشاهده پروفایل

استاد

• Biological Control
• Invasive Species Management
• Entomology
• +۳ مورد دیگر

Mark S. Hoddle is a Professor of Entomology and Biological Control Specialist at the University of California, Riverside (UCR), where he has headed research in his laboratory since 1997. He serves as the Director of the Center for Invasive Species Research and is a Principal Investigator focusing on biological control of invasive pests. His work bridges academic research with practical applications for California agriculture. Education: D.Sc. Zoology (2018), University of Auckland, New Zealand Ph.D. Entomology (1996), University of Massachusetts, Amherst M.S. Zoology (1991), University of Auckland, New Zealand B.S. Zoology (1988), University of Auckland, New Zealand Dr. Hoddle specializes in biological control, the intentional use of host-specific natural enemies to suppress pest populations. His research focuses on identifying pest problems amenable to biological control, locating and releasing natural enemies, and evaluating their impact on pest population growth. He works extensively with invasive species affecting California agriculture, particularly pests of citrus, avocado, palm trees, and other crops. His approach combines field evaluations with laboratory studies of pest and natural enemy biology and behavior. Analysis of Dr. Hoddle's recent publications reveals a strong focus on invasive species threatening California agriculture, particularly the Asian citrus psyllid, red palm weevil, and brown marmorated stink bug. His research integrates field and laboratory approaches, with emphasis on phenology modeling, natural enemy evaluation, and innovative control methods. Much of his work addresses the economic and ecological impacts of invasive pests on specialty crops. Scientific Awards: Entomological Society of America, Pacific Branch Entomology Team Leader Award (2023) UC-ANR Distinguished Service Award for Outstanding Research (2022) Fellow, Entomological Society of America (2018) California Department of Pesticide Regulations IPM Achievement Award for Asian Citrus Psyllid Biocontrol (2018) IOBC Distinguished Scientist of the Year (2015) Multiple awards from the Entomological Society of America (2007, 2012, 2013, 2014) Dr. Hoddle has mentored numerous students and researchers throughout his career, including postdoctoral scholars and specialists who contribute to his laboratory's work on invasive species. His research has been supported by various granting agencies, private institutions, and commodity boards, enabling extensive international projects focused on identifying and implementing biological control solutions for invasive pests. He has facilitated the Harry Scott Smith Scholarship Fund to support graduate students in biological control. Dr. Hoddle directs the Center for Invasive Species Research at UCR and leads a productive laboratory team that includes postdoctoral scholars, specialists, and students. The lab conducts research on multiple invasive species threatening California agriculture and natural ecosystems, with particular emphasis on citrus, avocado, and palm tree pests. Current projects include proactive biological control of the spotted lanternfly and research on invasive palm weevils, avocado pests, and other emerging threats.

Leah Perlmutterمشاهده پروفایل

استادیار

• Computer Science Education
• Belonging in Post-Secondary Computer Science
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Leah Perlmutter is a tenure-track Assistant Professor in the Computer Science Department at Grinnell College, focusing on inclusive pedagogy and student belonging in post-secondary CS education. She earned her Ph.D. (2023) and M.S. (2020) in Computer Science and Engineering from the University of Washington, and her B.A. (2012) in Computer Science and Engineering from Colby College. Her research examines how course policies and teaching assistant interactions impact student inclusion in computer science, with a particular emphasis on resubmission opportunities and justice-centered approaches to teaching. Her work also includes human-robot interaction projects like GestureCalc (an eyes-free calculator for touchscreens) and EMAR (a social robot for emotional clarity support). Recent publications explore themes such as algorithmic ethics in education, student belonging in CS, and accessible interface design. She received the NSF Graduate Research Fellowship (2017) and the Outstanding Female Engineer Award (2018). At Grinnell, she teaches courses like Functional Problem Solving, Software Design, and Algorithms, Ethics, and Society.

David Chalmersمشاهده پروفایل

استاد

• Philosophy of Mind
• Consciousness
• Cognitive Science
• +۸ مورد دیگر

David Chalmers is a University Professor of Philosophy and Neural Science at New York University and co-director of the Center for Mind, Brain, and Consciousness. He is also an Honorary Professor of Philosophy at the Australian National University and co-director of the PhilPapers Foundation. His work bridges philosophy, cognitive science, and emerging technologies. Research Interests: Chalmers is best known for his work on the 'hard problem of consciousness'—the challenge of explaining subjective experience. His research spans philosophy of mind, metaphysics, epistemology, philosophy of language, and the foundations of physics and AI. He actively explores the implications of virtual reality, simulation theory, and large language models for philosophy and consciousness studies. Recent Research Trends: His recent publications focus on AI consciousness, the ethical treatment of AI systems, the simulation hypothesis, and the nature of thought in language models. These works reflect a growing engagement with artificial intelligence and digital metaphysics, positioning philosophy at the forefront of technological inquiry. Scientific Awards: While no specific awards are listed in the provided text, Chalmers is widely recognized as one of the most influential contemporary philosophers, particularly in philosophy of mind. Advising and Grants: He mentors students and postdocs, though specific names are not listed. His leadership in the Center for Mind, Brain, and Consciousness and the PhilPapers Foundation suggests active grant-funded research and academic collaboration. Labs and Teams: He co-directs the Center for Mind, Brain, and Consciousness at NYU and the PhilPapers Foundation , both of which support research, publications, and global philosophical discourse in philosophy of mind and related fields.

Ivan Leeمشاهده پروفایل

دانشیار

• Mobile and Sensor Systems
• Health Informatics
• Human-Computer Interaction
• +۷ مورد دیگر

Ivan Lee is an Associate Professor and Informatics Program Director in the College of Information and Computer Sciences at the University of Massachusetts Amherst. His research focuses on mobile and personalized health, leveraging digital technologies to support individuals with motor and cognitive impairments such as stroke, Parkinson's disease, and traumatic brain injuries. He leads the Advanced Human & Health Analytics (AHHA) Laboratory and is actively engaged in interdisciplinary health technology research. Education: B.A.Sc. in Computer Engineering, Simon Fraser University (2008) M.S. in Electrical Engineering, University of California, Los Angeles (2010) M.S. in Computer Science, University of California, Los Angeles (2013) Ph.D. in Computer Science, University of California, Los Angeles (2014) His research interests lie at the intersection of mobile computing, sensor systems, and health informatics. He emphasizes human-centered design, developing novel sensors and remote monitoring tools grounded in clinical needs, conducting rigorous human studies, and evaluating solutions through both quantitative and qualitative methods. His work promotes health behavior change through personalized, technology-driven interventions. Ivan Lee has received significant recognition for his research, including the NSF CRII Award (2018) and the NIH Trailblazer Award (2018). His publications have earned best paper, best demo, and featured article honors at premier venues such as IEEE TNSRE, IEEE JBHI, ACM SenSys, and ACM MobiSys. He serves as an Academic Editor for PLOS ONE and an Associate Editor for the IEEE Open Journal of Engineering in Medicine and Biology (OJEMB) . He is an elected Standing Member of the IEEE EMBS Technical Committee on Wearable Biomedical Sensors and Systems and has served on technical program committees and as workshop chair for major conferences. He regularly participates in scientific review panels for the NSF, NIH, and DARPA. He previously held a postdoctoral fellowship at Harvard Medical School in the Department of Physical Medicine & Rehabilitation (2014–2016). Lee leads the Advanced Human & Health Analytics (AHHA) Laboratory, where his team develops and evaluates innovative health technologies through interdisciplinary collaboration with clinicians and engineers.

Przemyslaw Grabowiczمشاهده پروفایل

استادیار

• fair and explainable machine learning
• data science
• computational social science
• +۱۲ مورد دیگر

Przemyslaw Grabowicz is an Assistant Professor of Computer Science at University College Dublin and an Adjunct Professor at the University of Massachusetts Amherst. He leads the SIMS (Socially Intelligent Media and Systems) Lab and the EQUATE initiative, and is actively involved in the Knowledge Discovery Lab (KDL). His work bridges computer science, social science, and public policy, focusing on responsible AI and digital society. Research Interests: Fair and Explainable Machine Learning Computational Social Science Social Media and Network Science Public Opinion Modeling Algorithmic Bias and Discrimination Prevention Open-World Learning His research develops statistical and machine learning methods to understand and augment public opinion in digital environments, ensuring fairness, transparency, and societal benefit. He emphasizes legal compliance and ethical design in AI systems. Recent Research Trends: His recent publications focus on social media polls, political bias, misinformation, and fairness in machine learning. He investigates how algorithmic systems shape public discourse, especially during elections and global crises, and develops methods to detect and mitigate bias in data and models. Scientific Awards and Recognition: Best Paper Honorable Mention, ICWSM’25 WICI Data Challenge Main Prize (2013) Arnold O. Beckman Research Award Multiple UMass Amherst Interdisciplinary Research Grants Volkswagen Foundation Grants (over €900k total) Advising and Grants: Dr. Grabowicz supervises several PhD students in the SIMS and KDL labs and collaborates with MS students. He has secured significant funding from the Volkswagen Foundation, UMass Amherst, and the University of Illinois, supporting research on political misinformation, media bias, and global agenda setting. He is currently recruiting a postdoc at UCD. Labs and Initiatives: He heads the SIMS Lab and the EQUATE initiative, and contributes to the KDL. His project socialpolls.org explores public opinion through social media, and he maintains an active presence through the Uncommon Good blog on responsible AI.

• Database Management Systems
• Transaction Processing
• In-Memory Databases
• +۶ مورد دیگر

Andrew Pavlo is a Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research focuses on database management systems, particularly in the areas of transaction processing, in-memory databases, and self-driving database systems. He leads a productive research group that has published extensively in top database venues including VLDB, SIGMOD, and CIDR. Pavlo's research interests span database management systems, transaction processing, in-memory databases, non-volatile memory databases, and self-driving database systems. His work often bridges theoretical database concepts with practical system implementation, focusing on performance optimization, query processing, and system architecture. Recent work has explored machine learning applications for database tuning, novel storage techniques, and innovative approaches to transaction processing. An analysis of his recent publications reveals a strong focus on self-driving database systems, with significant work on the Database Gym framework for training machine learning models to optimize database performance. His research also examines columnar storage formats, transaction scheduling, and novel approaches to user-defined function optimization. The work demonstrates a consistent trajectory toward making database systems more autonomous and efficient through a combination of systems techniques and machine learning. Pavlo has been instrumental in mentoring numerous PhD students who have become active contributors to the database research community. His research has been supported by significant grants that have enabled the development of innovative database technologies and frameworks. His research group operates within CMU's vibrant database ecosystem, collaborating with other researchers on projects related to database systems, storage engines, and query processing frameworks. The group maintains close connections with industry partners to ensure practical relevance of their research contributions.

Cleotilde Gonzalezمشاهده پروفایل

استاد پژوهشی

• Decision Science
• Cognitive Psychology
• Human-Computer Interaction
• +۵ مورد دیگر

Cleotilde (Coty) Gonzalez is a Research Professor of Decision Sciences at Carnegie Mellon University, with primary affiliation in the Department of Social and Decision Sciences (SDS). She serves as the Founding Director of the Dynamic Decision Making Laboratory (DDMLab) and Research Co-Director of the NSF National Institute for AI for Societal Decision Making (AI-SDM). Her extensive academic affiliations include the Security and Privacy Institute (CyLab), the Societal Computing program in the Software and Societal Systems Department (S3D), the Human-Computer Interaction Institute (HCII) in the School of Computer Science, and the Center for Behavioral Decision Research (CBDR) and Center for Neural Basis of Cognition (CNBC). Dr. Gonzalez holds a Ph.D. in Management Information Systems and has developed Instance-Based Learning Theory (IBLT), a significant contribution to cognitive science that explains how people make decisions based on past experiences. Her research spans experimental studies and computational modeling of cognitive processes in dynamic decision environments, with applications in cybersecurity, human-machine teaming, and societal decision making. Her recent publications reveal a strong focus on human-AI collaboration, collective intelligence, cybersecurity, and cognitive modeling. The research trends show increasing integration of AI systems with human decision processes, particularly examining how humans and AI can complement each other in complex decision environments. Her work increasingly addresses cybersecurity challenges through behavioral science perspectives, exploring how cognitive models can improve defense mechanisms against social engineering attacks. Lifetime Fellow of the Cognitive Science Society Lifetime Fellow of the Human Factors and Ergonomics Society Member of the Governing Board of the Cognitive Science Society Member at Large of the Policy Council of the System Dynamics Society Committee member of the National Academies Division Committee for the Behavioral and Social Sciences and Education Dr. Gonzalez has mentored over 50 post-doctoral fellows and doctoral students, with many going on to successful careers in academia, government, and industry. Her research has been supported by major collaborative efforts including Collaborative Research Alliances (CRA) and Multi-University Research Initiative grants from the Army Research Laboratories (ARL) and Army Research Office (ARO), as well as projects with the Defense Advanced Research Projects Agency (DARPA). She directs the Dynamic Decision Making Laboratory, which conducts research involving laboratory experiments and cognitive computational models to derive theoretical conclusions about dynamic decision making and develop applications for societal problems.

Erlend Hemمشاهده پروفایل

استاد

• Suicide epidemiology
• Mental health in healthcare workers
• Occupational stress
• +۳ مورد دیگر

Erlend Hem is a Professor II at the Department of Behavioral Medicine , University of Oslo. He is also affiliated with the Department of Health Management and Health Economics as a student. His research focuses on suicide epidemiology, mental health among healthcare professionals, and mortality statistics. University of Oslo Department of Behavioral Medicine Department of Health Management and Health Economics (student) His work includes analyzing suicide rates in physicians and veterinarians, psychological distress in intensive care workers during the pandemic, and disparities in cancer outcomes. Studies like the NORVET survey and methodological research on mortality recording highlight his interdisciplinary approach. Recent publications address English language barriers in medical literature comprehension and historical medical practices. Scientific contributions span journals like Tidsskrift for Den norske legeforening , BMC Psychiatry , and BMJ Open . Collaborative projects involve teams from Norwegian public health and emergency medicine sectors.

Dimitris N Kiossesمشاهده پروفایل

استاد

• Geriatric Psychiatry
• Late-Life Depression
• Suicide Prevention
• +۴ مورد دیگر

Dimitris N Kiosses serves as Professor of Psychology in Psychiatry at Weill Cornell Medical College's School of Medicine since 2021. His academic affiliations center within the Department of Psychiatry with a focus on geriatric mental health services and research. His educational background includes a B.S. from Tufts University (1992), M.A. (1994), and Ph.D. (1999) from Adelphi University, establishing his foundation in clinical psychology with specialization in geriatric populations. Dr. Kiosses' research primarily investigates late-life depression, suicide prevention in older adults, and cognitive-behavioral interventions for comorbid conditions. His work emphasizes Problem Adaptation Therapy (PATH) development and implementation, particularly for depressed elders with cognitive impairment or chronic pain. Recent publications demonstrate growing focus on digital mental health tools, ecological momentary assessment, and international applications of geriatric interventions. His studies frequently examine emotion regulation mechanisms, neurocognitive correlates of depression, and implementation science approaches for real-world settings. Analysis of his 15 most recent publications reveals consistent thematic progression toward transdiagnostic approaches for late-life mental health, with increasing emphasis on technology-enabled interventions, cross-cultural adaptation, and precision medicine applications. The work spans clinical trials, implementation studies, and neurobiological investigations, predominantly targeting depression-suicide pathways in aging populations. Dr. Kiosses maintains active research mentorship through his leadership of multiple NIH-funded projects. His grant portfolio demonstrates particular strength in securing R01-level funding from NIMH and NIA for innovative geriatric mental health interventions. As Principal Investigator, he directs the Problem Adaptation Therapy research program which has evolved from home-based depression treatment (PATH) to specialized adaptations including PATH-Pain and suicide prevention applications. His work increasingly incorporates digital health components and focuses on implementation within primary care and community settings.