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John JosephView profile

Professor

• Organizational Design
• Artificial Intelligence and Organization
• Strategic Decision Making
• +7 more

John Joseph is a Professor of Strategy and Entrepreneurship at the Paul Merage School of Business, University of California, Irvine. His research and teaching focus on organizational design, strategic decision-making, innovation, and the integration of artificial intelligence in business strategy. He is actively involved in editorial leadership as Senior Editor at Organization Science and former editor of the Journal of Organization Design . PhD, Kellogg School of Management, Northwestern University MBA, Wharton School, University of Pennsylvania John Joseph's research centers on how organizations can be designed to enhance innovation, strategic planning, and decision-making. His work explores the role of attention, feedback mechanisms, and AI in shaping strategic outcomes. He investigates organizational structures in technology and healthcare sectors, with a focus on platform ecosystems and community-driven innovation. His recent publications and research projects examine AI-enabled organizational transformation, mobile industry innovation, and healthcare system design. The body of work shows a strong trend toward behavioral strategy, integrating cognitive and structural perspectives to understand how firms adapt and grow. 2017 Ralph Gomory Award, Industry Studies Association John Joseph has advised numerous organizations including General Electric, Samsung Electronics, Molina Healthcare, and UC Irvine. He has received multiple teaching awards and has taught in full-time, part-time, and executive education programs at Kellogg, Duke, and UC Irvine. He serves as Chair of the Behavioral Strategy Interest Group of the Strategic Management Society. His research is supported by engagements with centers such as the Center for Health Care Management and Policy and the Beall Center for Innovation and Entrepreneurship at UCI.

Nir OrenView profile

Professor

• Multi-Agent Systems
• Formal Argumentation
• Computational Trust Theory
• +1 more

Professor Nir Oren is a faculty member at the School of Natural and Computing Sciences , University of Aberdeen. His research focuses on multi-agent systems , formal argumentation , computational trust theory , and norm-based reasoning . He currently supervises PhD students in Computing Science and serves as Dean for Research Performance. Research Specialisms: Artificial Intelligence, Operational Research Contact: n.oren@abdn.ac.uk Research Trends (2022–2025): Nir Oren's publications span argumentation theory , BDI agent modeling , resilience in autonomous systems , and human-machine collaboration . His recent work addresses responsibility-aware AI , medical explainability , and environmental sensor networks . Key methods include probabilistic reasoning , game theory , and logical formalisms .

Ivan LeeView profile

Associate Professor

• Mobile and Sensor Systems
• Health Informatics
• Human-Computer Interaction
• +7 more

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 GrabowiczView profile

Assistant Professor

• fair and explainable machine learning
• data science
• computational social science
• +12 more

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.

• Organizational Behavior
• Interpersonal Trust
• Workplace Emotions
• +3 more

Daniel J McAllister is an Associate Professor at the National University of Singapore Business School , Department of Management and Organisation. His research explores interpersonal relationships in organizations , with particular emphasis on social emotions , trust dynamics , and their implications for organizational citizenship behavior and ethical leadership . He has published extensively in top-tier journals such as Academy of Management Review, Journal of Applied Psychology, and Academy of Management Journal. Academic Focus: Organizational Behavior, Trust/Distrust, Workplace Emotions Teaching Interests: Technical Knowledge, Practical Application, Ethical Decision-Making Key Courses: MNO2007 (Undergraduate), BMA5004A (MBA), MNO6012A (PhD) McAllister's research spans workplace underdog trajectories, awe in leadership, abusive supervision, and cross-cultural management in China. His work examines how emotions like contempt, envy, and schadenfreude influence organizational outcomes. He emphasizes creating a safe learning environment that integrates theoretical knowledge ( technical ), real-world application ( practical ), and ethical judgment ( wisdom ). McAllister has received consistently positive student feedback for his engaging teaching style , with recent evaluations highlighting improvements in time management and practical relevance. He distributes course materials post-class and avoids rote memorization, prioritizing conceptual understanding. His 2025 work on workplace underdogs and awe-driven leadership continues to shape contemporary organizational theory.

Ning LuView profile

Professor

• Unsaturated Soil Mechanics
• Vadose Zone Hydrology
• Slope Stability
• +7 more

Ning Lu is a Professor in the Department of Civil and Environmental Engineering at the Colorado School of Mines, College of Engineering and Computational Sciences. His work focuses on fundamental soil physical processes in variably saturated porous media, with applications in geotechnical and environmental engineering. Research Interests: Dr. Lu's research spans unsaturated soil mechanics , vadose zone hydrology , slope stability , and soil-water interaction . He investigates fluid flow, chemical transport, heat transfer, stress, and deformation across scales—from atomic potentials to engineering-scale behavior. His work addresses critical problems such as expansive soil damage, nuclear waste containment, and shallow landslides induced by rainfall. His recent publications (2016–2024) reflect a cohesive research program advancing the theoretical foundations of soil physics. Key themes include re-evaluating classical concepts like pore water pressure, developing unified models for soil water retention and hydraulic conductivity, and introducing suction stress as a critical variable for slope instability prediction. These works appear in leading journals such as the Journal of Geotechnical and Geoenvironmental Engineering and Reviews of Geophysics , indicating sustained high-impact contributions to the field. Scientific Awards: Karl Terzaghi Award, American Society of Civil Engineers, 2023 Norman Medal, American Society of Civil Engineers, 2021 Maurice Biot Medal, American Society of Civil Engineers, 2017 Ralph B. Peck Medal, American Society of Civil Engineers, 2017 Practice Paper of the Year Award, GTJ, ASTM, 2016 J.J. Croes Medal, American Society of Civil Engineers, 2010 Advising and Grants: While specific students and grants are not listed, Dr. Lu has authored two influential textbooks— Unsaturated Soil Mechanics (2004) and Hillslope Hydrology and Stability (2012)—indicating significant educational leadership and mentorship. His service on the National Academies committee for Spirit Lake/Toutle River system (2016–2017) reflects engagement in national-level environmental and engineering policy. Labs and Teams: Although no specific lab or team name is provided, his research program involves experimental, theoretical, and computational approaches to soil physics, likely supported by a research group at Colorado School of Mines.

Tim BaarslagView profile

Professor

• Automated Negotiation
• Multi-Agent Systems
• Artificial Intelligence
• +4 more

Tim Baarslag is a Senior Researcher and group leader of the Intelligent and Autonomous Systems group at CWI (The Dutch research institute for Mathematics and Computer Science). He holds the title of Professor of Mathematics of Cooperative AI at Eindhoven University of Technology and serves as a Visiting Associate Professor at Nagoya University of Technology, Visiting Fellow at the University of Southampton, and Visiting Scholar at MIT. His research focuses on automated negotiation systems for collaborative decision-making in smart energy trading, IoT, autonomous vehicles, and digital privacy. Education : MSc (cum laude) and BSc (cum laude) from Utrecht University; PhD (cum laude) from Delft University of Technology Tim pioneered the COMBINE project (NWO Vidi grant) for coordinating multi-deal negotiations and developed the widely-used Genius negotiation environment. His work appears in prestigious venues like Science Magazine , Artificial Intelligence , and MIT Technology Review . He also leads the International Automated Negotiating Agent Competition and contributes to policy through memberships in The Young Academy and Netherlands Academy of Engineering . Recent research trends emphasize multi-deal negotiation protocols (2024), preference uncertainty modeling in privacy negotiations (2022), and scalable algorithms for handling outcome spaces as large as 10²⁵⁰ possibilities. His 2023 work on search algorithms for large negotiation domains has applications in energy trading and supply chain management. Scientific Awards : Cor Baayen Young Researcher Award (2017), Springer Theses Award (2016), multiple Best Paper Awards (AAMAS 2022, WI-IAT 2015, IJCAI 2014), and recognitions as Science Talent (2018), Academic Pioneer (2020), and Young Talent (2019) As a grant recipient , Tim leads NWO Vidi project COMBINE and previously held a Veni grant for preference uncertainty research. He mentors through organizing competitions, serving on conference PCs (AAAI, IJCAI), and reviewing in top journals like Artificial Intelligence . His work bridges theory and practice through the Genius framework and real-world implementations in smart grid and vehicular platooning.

• Fuzzy Logic
• Multi-criteria Decision Making
• Decision Science
• +3 more

Başar Öztayşi is a Professor at the Department of Industrial Engineering , Istanbul Technical University , with expertise in fuzzy logic, multi-criteria decision making, and decision science. He has held administrative roles including Associate Professor (2017–present), Deputy Director of the Institute (2016–2017), and Assistant Professor (2013–2017). Fields of Study : Fuzzy Logic, Multi-criteria Decision Making, Decision Science Contact : oztaysib@itu.edu.tr , +90 212 293 1300 Research Interests focus on applying fuzzy set theory to complex decision problems, including financial management, risk assessment, and smart city energy systems. His work extends to industry 4.0 applications and process mining in e-commerce. Recent Publications (2024) analyze fuzzy approaches in financial management, risk assessment, and Industry 4.0, with subfields spanning bibliometric trends, allocation optimization, and sustainable energy planning. Earlier works explore AHP matrix consistency, file distribution models, and customer segmentation. Awards : Best Paper Award, FLINS 2018 Science - Art Awards

• Database Management Systems
• Transaction Processing
• In-Memory Databases
• +6 more

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 GonzalezView profile

Research Professor

• Decision Science
• Cognitive Psychology
• Human-Computer Interaction
• +5 more

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 HemView profile

Professor

• Suicide epidemiology
• Mental health in healthcare workers
• Occupational stress
• +3 more

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 KiossesView profile

Professor

• Geriatric Psychiatry
• Late-Life Depression
• Suicide Prevention
• +4 more

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.

Bridget GoosbyView profile

Professor

• Health Disparities
• Race and Ethnicity
• Biosociology
• +7 more

Bridget Goosby is a Professor of Sociology at the University of Texas at Austin, affiliated with the College of Liberal Arts and serving as co-director of the LifeHD Health Disparities Research Lab with Dr. Jacob Cheadle. Her work bridges biosociology and health disparities research, focusing on how social marginalization and racism manifest in biological pathways affecting health outcomes. Education : Ph.D. from Pennsylvania State University Contact : bgoosby@prc.utexas.edu Her research integrates biometric and mixed-methods approaches to examine: Dynamic biosocial pathways linking racism to health risks Sympathetic arousal responses in natural settings Epigenetic profiles associated with socioeconomic and racial disparities Recent projects include a Spencer Foundation-funded national study on Black women faculty's health and professional navigation. Prior research has been supported by the National Institute of Child Health and Human Development (NICHD). Scientific recognition includes lifetime membership in AAAS for her contributions to understanding discrimination's biosocial health impacts. Her work appears in journals like Proceedings of the National Academy of Sciences and Annual Review of Sociology . She teaches undergraduate courses on Race, Ethnicity, and Health (UGS 302) across multiple semesters, emphasizing experiential learning through synchronous and asynchronous formats.

Anna G OrrView profile

Assistant Professor

• Neuroscience
• Neurodegenerative Diseases
• Astrocyte Biology
• +5 more

Anna G Orr serves as Nan and Stephen Swid Assistant Professor of Frontotemporal Dementia Research and Assistant Professor of Neuroscience at Weill Cornell Medical College's Brain and Mind Research Institute since 2016, leading pioneering research on astrocyte biology in dementia pathogenesis. Her educational background includes: Ph.D. from Emory University (2008) B.S. from Allegheny College (2002) Dr. Orr's research program centers on astrocytic-neuronal interactions , mitochondrial signaling , and neuroimmune mechanisms through three interconnected pathways: neuroimmune , oxidative , and G protein-coupled signaling . Her lab investigates how these mechanisms influence neuroinflammation, protein aggregation, synaptic function, and behavioral outcomes in dementia, with parallel therapeutic discovery efforts targeting astrocytic pathways for novel dementia treatments. Analysis of her 15 most recent publications (2025-2010) reveals escalating focus on astrocyte-specific dementia mechanisms , particularly mitochondrial ROS signaling, sex-dimorphic memory effects, TDP-43 pathology interactions with antiviral pathways, and lipid dysregulation in neurodegeneration. Her work consistently bridges molecular discoveries with therapeutic applications, demonstrating increasing NIH funding support for translational approaches. Key scientific recognitions include: NIH K99/R00 Pathway to Independence Award (2017) Leon Levy Fellowship in Neuroscience (2021) Nan and Stephen Swid Endowed Professorship (2021) Outstanding Neuroscience Teaching Award (2021) Dr. Orr actively mentors eight trainees across career stages, including Ph.D. candidates Evelyn Hardin and Constance Zhou, while securing major NIH grants as Principal Investigator for projects like Uncovering Dementia-Related Lipid Alterations in Astrocytes (NIA 2024-2026) and Mitochondrial Complex III Free Radicals in Dementia Pathology (NIA 2020-2026), alongside collaborative awards from the Alzheimer's Association. Her Orr Lab maintains a dual focus on mechanistic astrocyte biology and therapeutic translation, with current projects examining astrocytic TDP-43 dysregulation, mitochondrial complex III signaling, and sex-specific memory mechanisms using advanced in vivo techniques and disease models.

Kaat AlaertsView profile

Professor

• Neurorehabilitation
• Oxytocin Research
• Autism Spectrum Disorder
• +6 more

Professor Kaat Alaerts is a leading researcher at KU Leuven's Faculty of Movement and Rehabilitation Sciences, where she serves as Head of the Neurorehabilitation Research Group and Professor in the Department of Rehabilitation Sciences. Her work bridges neuroscience, psychology, and rehabilitation science to develop innovative interventions for stress regulation and social-cognitive functioning, with a particular focus on autism spectrum disorder and related conditions. Her primary research interests span neurorehabilitation , oxytocin research , autism spectrum disorder , stress regulation , mindfulness and meditation , neurostimulation , and social cognition . Dr. Alaerts employs a multidisciplinary approach that combines neuroscientific, physiological, and behavioral methods to study both clinical effectiveness and underlying brain mechanisms of neuromodulatory interventions. The research output demonstrates a strong focus on exploring the therapeutic potential of oxytocin, particularly for autism spectrum disorder. Her work examines both the standalone effects of oxytocin and its synergistic effects when combined with mindfulness training or other interventions. A growing body of research also investigates the gut-brain axis in autism and the role of microbiome composition in social and stress-related difficulties. Dr. Alaerts has received notable recognition including the KAGB Clinical Medicine Award in September 2024 for her work on oxytocin administration in children with autism. Her research group has also been honored with multiple "Belgium's got talent" prizes from the Belgian College of Neuropsychopharmacology and Biological Psychiatry. As a dedicated mentor, Dr. Alaerts supervises numerous PhD students and postdoctoral researchers, including Margaux Evenepoel, Jellina Prinsen, Elise Tuerlinckx, and others who have made significant contributions to the field. Her research is supported by multiple substantial grants, including several ongoing projects running through 2028-2029 that investigate oxytocin's role in stress regulation for breast cancer survivors, autism, and other conditions. The Neuromodulation Laboratory, which Dr. Alaerts leads, focuses on three core domains: oxytocin neuropsychopharmacology, contemplative science and combinatory approaches, and neuroregulation techniques. The lab operates within a multidisciplinary network that includes the LBI - KU Leuven Brain Institute and maintains strong collaborative relationships across various research institutions.