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Amanda JonesView profile

Senior Lecturer

• Remote Working
• Work-Life Balance
• Organizational Behavior
• +3 more

Amanda Jones is a Senior Lecturer in Organisational Behaviour and Human Resource Management at King's Business School, King's College London. She serves as Education Lead for the Department of Human Resource Management and Employee Relations, and sits on multiple committees including the Faculty Education Committee. Her research focuses on remote working, work-life balance, and workplace dynamics, with notable contributions to understanding hybrid work models and pandemic-era workplace strategies. Dr. Jones holds a PhD from King's College London and a Fellowship in Higher Education. She has presented at conferences such as EAWOP and the Academy of Management, and her work has been featured in podcasts and BBC interviews. Her teaching includes modules on Organisational Change and Research Methods, alongside executive education masterclasses in remote working. Her articles explore telework well-being perceptions, hybrid work intentions, and supervisor rating reliability. She has consulted for organizations like Lloyds of London and NHS on remote work strategies and contributed to module design at Niza University, Egypt. Professional memberships include CIPD and the Academy of Management.

Eric BretonView profile

Professor

• Health Promotion
• Disease Prevention
• Social Determinants of Health
• +7 more

Eric Breton is a Professor of Health Promotion at the French School of Public Health (EHESP) in Rennes, where he conducts research at the Arènes laboratory (UMR CNRS 6051) and the Research on Health Services and Management team (RSMS: INSERM U1309). Holding a Doctorate in Public Health, he brings extensive international research experience from Canada, Australia, and the UAE to his work on health promotion systems and social determinants of health. His educational background includes a Master of Arts and Doctorate in Public Health, with professional development through the Santé publique France Chair (2010-2018) and co-authorship of the seminal reference manual Health Promotion: Understanding to Act in the French-speaking World (Presses de l'EHESP, 2017). Dr. Breton's research focuses on strengthening local health promotion capacities to address upstream social determinants of health inequalities, with expertise in realist evaluation methods and policy analysis. His work examines community health systems, tobacco control advocacy, sugary drink taxation impacts (SODA-TAX project), and intergenerational addiction prevention (PATTERN project), emphasizing intersectoral action and health equity. His recent publications reveal dominant trends in community-based health promotion evaluation, Health in All Policies implementation, and local health contract mechanisms for reducing social inequalities. Key themes include realist program evaluation frameworks, health equity impact assessment methodologies, and contextual factors influencing policy transfer in public health. PATTERN 2 project (2022-2023, €64k): Prevention of intergenerational transmission of addictive behavior through "A Family Affair!" program PATTERN project (2020-2021, €98k): Intervention research on addictive behavior transmission SODA-TAX project (2019-2023, €164k): Analysis of France's sugary drink tax implementation and effects CLoterreS project (2017-2020, €200k): Local health contracts as mechanisms for territorializing regional prevention policies National Cancer Institute projects (2017, €29k; 2012-2016, €400k): Reducing social inequalities in cancer prevention As Educational Manager of EHESP's Population Health Promotion Certificate and coordinator of multiple Master of Public Health modules (including "Health promotion and disease prevention program planning"), Dr. Breton shapes public health education internationally. He contributes to national health governance through the High Council for Public Health (HCSP), serves on the Supervisory Board of Brittany's Regional Health Agency, and was Associate Editor for Health Education & Behavior (2018-2021). His research operates within the Arènes laboratory (CNRS) and RSMS team (INSERM), focusing on health services organization and policy implementation. He co-organizes the annual Global Community Health Workshop with UNESCO's Chair in Health & Education, fostering international collaboration on community-based health promotion strategies.

Jacob WhitehillView profile

Associate Professor

• Applied Machine Learning
• Speech and Speaker Recognition
• Educational Data Mining
• +3 more

Jacob Whitehill is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), affiliated with the Learning Science & Technologies (LST) program. His research focuses on applying machine learning to education and human-computer interaction, including speech recognition, emotion analysis, and automated classroom observation. He leads the NSF-funded project Developing New Scientific Instruments for Classroom Observation and collaborates on the AI Institute for Student-AI Teaming (iSAT) . His research interests span Applied Machine Learning (e.g., multi-modal systems, speaker diarization), AI for Education (e.g., automated instructional evaluation, child speech recognition), and Emotion Recognition (e.g., affective computing in classrooms). Recent work emphasizes classroom observation tools and improving student-teacher interaction analysis through video and audio data. Notable projects include: NSF-funded classroom observation tools AI Institute for Student-AI Teaming (iSAT) Schmidt Futures-funded Hybrid Human-Agent Tutoring for math education His team includes PhD students Xinlu He (Data Science), Jiani Wang (Computer Science), and Yiwen Guan (Computer Science), along with visiting scholar Cecilia Tivir. He advises students on topics like speaker recognition, educational data mining, and computer vision in classroom settings. Grants and collaborations include NSF, Schmidt Futures, and industry partnerships. His lab develops tools for automated feedback on teaching practices, leveraging LLMs and multimodal data. For more details, contact jrwhitehill@wpi.edu .

• Sustainable Human Resource Management (HRM)
• Employee Well-being
• Work Intensification
• +6 more

Sugumar Mariappanadar is a Senior Lecturer at the Peter Faber Business School , affiliated with the Faculty of Law and Business . His research focuses on Sustainable Human Resource Management (HRM) , employee well-being, work intensification, and corporate sustainability. Developed frameworks for Stakeholder Harm Index and Health Harm of Work metrics. Examined interactions between SDG 8 (Decent Work) and SDG 3 (Health) from HRM perspectives. Contributed to understanding Green HRM , ESG Derivatives , and Work-Family Balance in sustainable organizations. Authored/co-authored 15+ publications in journals like Sustainability , International Journal of Environmental Research and Public Health , and Asia Pacific Journal of Business Administration .

• Artificial Intelligence
• Recommender Systems
• Information Systems
• +2 more

Dietmar Jannach is a Full Professor at the University of Klagenfurt, Austria, affiliated with the Institute for Artificial Intelligence and Cybersecurity where he leads the Research Group for Information Systems. His academic roles include membership in the university's Senate and Curricular Commissions for Liberal Arts and Information Management. His research spans: Core Areas : Artificial Intelligence, Recommender Systems, and Software Engineering. Methodological Focus : Algorithm reproducibility, fairness in AI, sequential recommendations, and hybrid learning models. Emerging Interests : Generative AI for group decision support, ethical recommender systems, and foundation model applications. Jannach's recent publications critically evaluate reproducibility challenges in AI research, advocate for calibrated recommendations to mitigate bias, and explore agentic paradigms in group recommender systems. He emphasizes real-world validation, with studies on deployment challenges and developer experiences in software processes. He actively contributes to academic governance and mentors through research groups, though specific student advisees are not listed. Contact via Dietmar.Jannach@aau.at .

• Environmental Health
• Epidemiology
• Climate Change Health Impacts
• +4 more

Erika Garcia, PhD, MPH is an Assistant Professor in the Division of Environmental Health at the Department of Population and Public Health Sciences, Keck School of Medicine of USC. Her work focuses on understanding how ambient environmental exposures influence human disease development, particularly through advanced causal inference methods. Key research areas include early-life air pollution effects on pediatric health (asthma, lung function, metabolic outcomes) and climate-driven exposures like extreme heat. Education: PhD in Environmental Health Sciences, UC Berkeley MPH in Environmental Health Sciences, UC Berkeley Research Interests: Climate change health impacts: heat waves, air pollution, and associated mortality/morbidity Environmental justice: disparities in pollution exposure and health outcomes Exposure mixtures: synergistic effects of chemical pollutants Epigenetic biomarkers of environmental exposures Recent Article Trends: Focus on methodological innovations in exposure assessment, policy-driven intervention modeling, and translational research linking environmental exposures to chronic disease pathways. Recent work emphasizes population-level vulnerability analysis and actionable solutions for disadvantaged communities. Advising/Grants: Active in mentoring interdisciplinary teams but specific grant details not highlighted in current text.

Daantje DerksView profile

Professor

• Organizational Psychology
• Workplace Behavior
• Agile Team Effectiveness
• +3 more

Prof. Daantje Derks is a Full Professor at the Erasmus School of Social and Behavioural Sciences, specializing in Work and Organisational Psychology. His research focuses on workplace behavior, technology’s impact on work-life balance, agile team effectiveness, and job crafting. He has contributed extensively to understanding how organizational practices influence employee well-being and performance. Key research areas include: Agile teams and resource mobilization Technology-assisted work and its psychological effects Work-life boundary management Counterproductive work behaviors Recent work highlights include advancing theories on team resilience, analyzing smartphone use’s role in workplace stress, and evaluating policy guidelines for remote work. His studies often employ diary methods and meta-analyses to explore daily dynamics and long-term trends. Derks has supervised 5 academic works and collaborates internationally on organizational psychology topics. His research bridges theoretical frameworks (e.g., JD-R model) with practical applications for workplace design and policy-making.

Joseph LudersView profile

Associate Professor

• American Racial Politics
• Social Movements
• Civil Rights Politics and Policy
• +1 more

Joseph Luders is the David and Ruth Gottesman Associate Professor of Political Science and Chair of the Department of Political Science at Yeshiva University. He holds academic appointments at the university's Beren campus and has been recognized for his contributions with awards such as the Dean Karen Bacon Award for Outstanding Junior Faculty and twice being named Senior Class Professor (secular studies). His research focuses on American racial politics, social movements, civil rights policy, and American political development. Education: Dr. Luders earned his BA from Evergreen State College, followed by an MA and PhD from the New School for Social Research. His research interests are centered around American racial politics, social movements, and civil rights policy, with a particular emphasis on the theoretical frameworks explaining social movement outcomes. He has authored a notable book, The Civil Rights Movement and the Logic of Social Change (Cambridge University Press, 2010), which provides a general theoretical explanation for social movement outcomes. His work has been published in leading journals such as the American Journal of Sociology and Polity . Awarded the Mellon Fellowship in the Special Project on Contentious Politics at the Center for Advanced Study in the Behavioral Sciences (Palo Alto, CA), Dr. Luders has also secured research funding from the National Science Foundation. His accolades reflect his scholarly impact and dedication to academic excellence. In addition to his research, Dr. Luders has received grants from the National Science Foundation, supporting his work on civil rights and social movements. While specific advisee names are not listed, his teaching and research supervision contribute to mentoring students in political science methodologies and topics. Luders' academic contributions reflect a commitment to both scholarly rigor and practical application in understanding and addressing societal challenges. His office is located in Stanton Hall, Room 805 on the Beren campus.

• Educational Psychology
• Social Psychology
• Cognitive Processes
• +3 more

Jennifer Butler is an Instructor and Department Representative for Psychology majors & minors at Case Western Reserve University's Department of Psychology. She is located at Mather Memorial Building 1 and reachable via jennifer.butler@case.edu . Her research focuses on educational psychology, social psychology, and cognitive processes, with notable work on growth mindsets in academic achievement, performance under pressure, and motivational theories. Her studies often explore the intersection of social environments and human behavior, including audience effects on performance and gender differences in emotional responses. Her publications span from 1995 to 2018, covering topics such as the choking phenomenon under supportive audiences, sexual masochism analysis, and goal framing's impact on outcomes. While no specific awards are listed, her work reflects contributions to understanding psychological mechanisms in education and social contexts. As a department representative, she advises Psychology students and oversees program curricula. No specific grants or lab affiliations are mentioned in the provided materials.

Kangkang YinView profile

Associate Professor

• Computer Animation
• Computer Graphics
• Humanoid Robotics
• +3 more

Kangkang Yin is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU). His research focuses on computer animation, computer graphics, humanoid robotics, machine learning, and multimedia analysis. He teaches courses such as Computer Animation and Scientific Computing, and holds a PhD from the University of British Columbia (2007), MSc from Zhejiang University (2000), and BSc from Zhejiang University (1997). His work bridges robotics and animation through projects like physics-based character controllers, motion diffusion models, and robotic manipulation. Key contributions include the SIMBICON biped locomotion framework and research into emotion-driven dance animation. Recent efforts emphasize reinforcement learning applications in motion synthesis and robust visual navigation for unmanned ground vehicles. Yin's publications span over two decades, addressing challenges in motion control, physics-based simulation, and machine learning applications. His lab contributes to both academic advancements and practical robotics solutions. Current research trends show strong emphasis on combining generative AI with traditional animation techniques, as seen in recent work on auto-regressive motion models (AAMDM) and physics-augmented reinforcement learning (PARC).

• Online Communication
• Digital Journalism
• Media Innovations
• +7 more

Thorsten Quandt is a Professor of Online Communication at the University of Münster, affiliated with the Faculty of Arts and Humanities and the Department of Communication Science. His academic journey includes a Ph.D. in Communication Science from TU Ilmenau (2004) and a habilitation from Ludwig Maximilian University of Munich (2008). He has held visiting professorships at the University of California, Santa Barbara (2014) and has been a faculty member at institutions like the University of Hohenheim and Freie Universität Berlin. Quandt's research focuses on online communication, digital journalism, and computational analysis of media ecosystems. Notable projects include studying conspiracy theories and ideological movements online, media innovations, and gaming disorder. He leads the Cluster of Excellence project B3-44 on computational methods for analyzing new ideological movements. His work bridges communication studies and computational social science, addressing topics like dark participation, media trust, and information disorder. Awards include an ERC Advanced Grant (2025), ICA Fellowship (2023), and ERC Starting Grant (2009). He serves on editorial boards of journals like Journal of Communication and Digital Journalism . Quandt’s research has explored gaming’s psychosocial impacts, digital journalism’s evolution during crises, and media moderation strategies. His recent work emphasizes computational methods and interdisciplinary approaches to understanding digital media’s societal role.

Paul RosenView profile

Associate Professor

• Scientific Visualization
• Topology-Based Methods
• Network Visualization
• +3 more

Paul Rosen is an Associate Professor at the University of Utah, affiliated with the Scientific Computing and Imaging Institute and the Kahlert School of Computing. He holds a Ph.D. in Computer Science from Purdue University (2010). Prior to his current role, he was an Assistant/Associate Professor at the University of South Florida (2015–2022) and a Research Assistant Professor at the University of Utah's SCI Institute (2010–2015). Research Focus: Rosen specializes in topology-based visualization techniques, with emphasis on network visualization, uncertainty quantification, and perceptual studies. His work bridges computational methods with human perception, aiming to enhance data understanding through effective visual design. Awards & Recognition: National Science Foundation CAREER Award (2019) Best Paper Awards at PacificVis 2016, IVAPP 2016, and multiple other conferences Honorable Mentions for IEEE VIS and VAST Challenge submissions Leadership: As General Chair of IEEE VIS 2024, Rosen led the planning for this flagship visualization conference, emphasizing community-driven design and in-person collaboration. Education Contributions: His research includes pedagogical innovations, such as predictive modeling for student feedback and peer review analysis in visual literacy courses.

• Artificial Intelligence
• Machine Learning
• Activity Recognition
• +12 more

Gita Reese Sukthankar is a Professor in the Department of Computer Science at the University of Central Florida (UCF) , where she directs the Intelligent Agents Lab . Her research focuses on activity and plan recognition , with applications in multi-agent systems, robotics, and human-robot interaction. She earned her Ph.D. from the Robotics Institute at Carnegie Mellon University and joined UCF in fall 2007. Research Interests: Her work spans activity recognition , intent inference , multi-agent coordination , and human-robot teams . She has applied these techniques to domains such as adversarial games (e.g., military simulations, Unreal Tournament), assistive technologies, and cooperative robotics. Her research integrates AI, machine learning, and probabilistic models to understand and predict complex team behaviors. Publication Trends: Her publications emphasize spatio-temporal modeling , probabilistic graphical models (e.g., HMMs, CRFs) , and multi-agent plan recognition . She frequently publishes in top venues like AAMAS, AAAI, and ICRA, with a focus on robust recognition of team behaviors, transfer learning, and real-world AI applications. Scientific Awards: NSF CAREER Award (2009) AFOSR Young Investigator (2009) ONR Summer Faculty Fellow (2008) UCF Faculty Excellence for Doctoral Mentoring (2012) CECS Dean's Research Professorship (2013) AAAI Senior Member (2021) ACM and IEEE Senior Member Advising and Grants: She mentors graduate students in AI and robotics and has led research funded by DARPA, AFOSR, and ONR. Her lab develops systems for intelligent agents that can understand and collaborate with humans. She has served on numerous program committees and editorial boards, including ACM Transactions on Autonomous and Adaptive Systems . She teaches courses such as Intelligent Systems , Robotics , and Machine Learning , and has been recognized for both research and teaching excellence. Labs and Teams: She leads the Intelligent Agents Lab at UCF, which focuses on data-driven social informatics and AI for human-agent teams. Her group collaborates with researchers in robotics, computer vision, and cognitive science to build adaptive, intelligent systems.

Fariba KarimiView profile

Professor

• Algorithmic Fairness
• Computational Social Science
• Network Science
• +7 more

Fariba Karimi is a Professor of Social Data Science at Graz University of Technology and leads the Algorithmic Fairness research group at the Complexity Science Hub (CSH) in Vienna. Her work sits at the intersection of computational social science, network science, and AI ethics, with a strong focus on fairness, inequality, and bias in algorithmic systems. She holds a PhD in Physics and Computational Science from Umeå University, Sweden (2015), and was a Postdoctoral Researcher at GESIS – Leibniz Institute for Social Sciences, Germany. Her research combines large-scale data analysis, agent-based modeling, and network science to study how social structures and algorithms interact to shape disparities, particularly for underrepresented groups. Computational Social Science Algorithmic Fairness and Bias Network Science and Homophily Digital Humanism Urban Inequality and Implicit Bias Gender and Age Equity in Academia Her recent publications reveal a consistent focus on understanding and mitigating algorithmic and structural inequities. Themes include the visibility of minorities in networks, the impact of segregation on health and cognition, gender citation gaps in physics, and the development of fair ranking and recommendation systems. She employs interdisciplinary methods to analyze both digital and real-world social systems. Fariba Karimi has received several prestigious recognitions, including: Young Scientist Award from the German Physical Society (2023) ERC Starting Grant (2024) Nomination for the Hedy Lamarr Award (2021) She leads the 'Humanized Algorithms' project at CSH, funded by the ERC, and co-leads an EU Horizon project (MAMMOth) on multi-criteria fairness in AI. She advises PhD researchers such as Lisette Espín-Noboa and collaborates with institutions like the University of Mannheim and the Centre for Social Sciences. Her work contributes to both academic knowledge and practical solutions for fairer AI systems and more equitable societies.

Renaud LambiotteView profile

Professor

• Network Science
• Complex Systems
• Temporal Networks
• +7 more

Renaud Lambiotte is Professor of Networks and Nonlinear Systems at the Mathematical Institute, University of Oxford. He holds a PhD in Physics from Université libre de Bruxelles and has held research and faculty positions at ENS Lyon, Université de Liège, UCLouvain, Imperial College London, and the University of Namur. He is currently an active academic in applied mathematics and network science. His research focuses on complex systems, particularly dynamics on networks, temporal networks, and stochastic processes. He applies these to social and brain networks, data mining, and urban systems. His work bridges theoretical modeling and real-world data, emphasizing the structure and evolution of complex systems. His recent publications demonstrate strong trends in network theory, including hypergraphs, community detection, multidimensional dynamics, and data quality in network interventions. He also explores applications in urban air quality and gentrification, showing a commitment to socially relevant complex systems research. Scientific Awards: Prix Wernaers 2013 Prix Wernaers 2016 Prix Wernaers 2020 Verdickt-Rijdams 2016 de l'Académie royale de langue et de littérature françaises He is the co-founder of L’Arbre de Diane, a publishing initiative at the science-literature interface, which received multiple awards. He teaches advanced courses such as Differential Equations II and Networks. He is affiliated with the Machine Learning and Data Science and the Oxford Centre for Industrial and Applied Mathematics research groups. He has authored or co-edited key texts in the field, including A Guide to Temporal Networks and Modularity and Dynamics on Complex Networks , and has published around 130 peer-reviewed articles. His research is supported by ongoing collaborations and active publication output, indicating sustained academic leadership.