Marc Pauly is a Lecturer and Researcher in the Faculty of Philosophy at the University of Groningen, specializing in Ethics, Social and Political Philosophy. He holds roles as a board member of Platform Religie en Levensbeschouwing Groningen and serves as a consultant on citizen participation in municipal governance. His research focuses on ethics, dialogue theory, climate change, and migration, with a particular interest in applying philosophical frameworks to contemporary societal challenges. Pauly's work bridges academic philosophy with practical applications, addressing issues like conflict resolution, environmental ethics, and democratic participation. Key research areas include Martin Buber’s philosophy, Gandhi’s ethical principles, and the intersection of spirituality with social issues. He has published extensively on topics ranging from climate change philosophy to urban-nature dynamics. His contributions often emphasize ethical dialogue as a tool for resolving polarization and fostering societal harmony. Pauly is actively involved in public lectures and academic events, such as the European Conference on Argumentation. He advocates for open educational resources and contributes to policy debates on democracy and environmental sustainability. His ancillary activities reflect a commitment to community engagement and interdisciplinary collaboration.
Dmitrii Pastushenkov is a Teaching Professor in the Department of Slavic Languages and Literatures at Harvard University, specializing in the Russian language program. He holds a Ph.D. in Second Language Studies from Michigan State University (2022), an M.A. in Teaching English as a Second Language from Kent State University (2017), and dual M.A. degrees in Russian Translation and Business Administration, also from Kent State (2015). His research focuses on instructed second language acquisition, bridging theory and practice in language education, and the application of psychological theories to literary analysis. He has contributed to journals like The Modern Language Journal and co-edited a Routledge volume on assessment in Russian language classes. His work explores gamification, language immersion programs, and the use of technology in education, including game-based learning and assessment methodologies. Prior to Harvard, Dmitrii taught at Michigan State University, California State University, Northridge, and Kent State University, where he held graduate assistantships and participated in STARTALK programs. He has served as a research assistant at Middlebury College’s Kathryn Wasserman Davis School of Russian, gaining insights into immersive language education. His interdisciplinary research also includes analyzing Russian state media’s portrayal of opposition leaders and examining dystopian narratives in Dmitry Glukhovsky’s novels through psychological frameworks. Pastushenkov’s teaching philosophy emphasizes practical application of research, with a focus on enhancing language learning through innovative pedagogical strategies. His publications address topics such as vocabulary acquisition via gamification, task-based instruction, and the role of individual differences in language learning outcomes. He actively contributes to educational initiatives that integrate cultural and linguistic studies across disciplines.
Dr. Babar Jamil is a Lecturer in Electrical Engineering at the University of York's School of Physics, Engineering and Technology. His expertise spans robotics, sensors, control engineering, and mechanism design. He holds a Ph.D. from Hanyang University (South Korea) and conducted postdoctoral research at Sungkyunkwan University, where he also served as a Research Professor. His current research focuses on safe human-robot collaboration systems, novel control algorithms for robotic systems, and smart structures through sensor integration. Education: Ph.D. in Electrical and Electronic Engineering, Hanyang University, South Korea Postdoctoral Researcher, Sungkyunkwan University, South Korea Research Interests: Developing hybrid robotic manipulators combining soft and rigid actuation Designing proprioceptive sensors for extreme environments Advances in pneumatic artificial muscles and soft actuators Integration of machine learning in robotics control systems Publications: Recent work emphasizes soft robotics actuators, sensor design, and human-robot interface innovations. Key themes include energy-efficient actuation, sensorized robotic fingers, and pumpless pneumatic systems. Labs/Teams: Leads robotics research at York, focusing on collaborative robotics and sensor-actuator integration. Maintains an active research group through his UoY Robotics website .
Carolin Schwegler is a Senior Researcher at the University of Cologne’s Multidisciplinary Environmental Studies in the Humanities (MESH) and the Department of German Linguistics and Literature 1. Her work focuses on pragmatics, multimodal discourse, and conversation analysis, with an applied emphasis on environmental and medical humanities. She earned a Master’s in German Studies and Philosophy, and a doctorate in German Linguistics (summa cum laude) from Heidelberg University, where her thesis analyzed argumentation strategies in climate and sustainability discourse across media and corporate reports. Affiliations: MESH, Department of German Linguistics and Literature 1 Interdisciplinary Projects: Leads subprojects in PreTAD (predictive turn in Alzheimer’s), CCM (Cultural Climate Models), and HESCOR (Human and Earth System Coupled Research), funded by EU, DFG, and state grants. Her research interests include sustainability communication, risk and disaster communication, future imaginaries, green tourism, language and pain, and sociolinguistics of plant studies. She analyzes linguistic practices in predictive medicine, climate discourse, and interdisciplinary collaborations. Recent work explores dementia risk prediction ethics, social media climate imaginaries, and multimodal identity construction. Her publications span edited volumes on health literacy, mental illness, and language-nature links, alongside articles in LiLi , Alzheimer’s & Dementia , and OBST . She actively presents at conferences globally and collaborates internationally with teams in neuroscience, ethics, and environmental policy.
Jo Hoje is the Gerald and Bonita Wilkinson Professor of Finance at Santa Clara University's Leavey School of Business. He has held this position since 1990, serving as Chair of the Finance Department from 2011 to 2014. His academic journey includes a BA in Chinese Literature from Seoul National University, followed by an MBA and PhD in Finance from SUNY Buffalo and the University of Florida, respectively. Dr. Jo's research focuses on corporate finance, international finance, venture capital, entrepreneurial finance, and corporate social responsibility (CSR). His work explores intersections between CSR and financial performance, environmental sustainability, ethical investing, and governance structures. He has published in top-tier journals such as the Journal of Finance and Journal of Financial Economics . His awards include the Moskowitz Prize (2009) for socially responsible investing research and the 1999 Korean Chamber of Commerce 'Professional Man of the Year' honor. Notable contributions span topics like ESG ratings, climate risk pricing, and the impact of employee-friendly practices on innovation. Jo actively engages with Santa Clara University initiatives, including the Center of Applied Ethics and Korean Student Association. His community roles emphasize bridging academic research with practical business ethics and global sustainability challenges.
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.
Shahin Jabbari is an Assistant Professor in the Computer Science Department at the College of Computing & Informatics, Drexel University, where he is a member of the EconCS research group. His research lies at the intersection of machine learning, game theory, and algorithmic fairness, with a focus on ethical AI and its societal implications. Prior to Drexel, he was a CRCS postdoctoral fellow at Harvard University's School of Engineering and Applied Sciences, hosted by Milind Tambe, and affiliated with the EconCS group. Education: PhD in Computer and Information Science, University of Pennsylvania (2013–2019), advised by Michael Kearns Master's in Computing Science, University of Alberta, advised by Robert Holte and Sandra Zilles Bachelor's in Computer Engineering, Sharif University of Technology His research interests center on machine learning, algorithmic fairness, and game theory, particularly focusing on how AI systems can be designed to be more equitable, interpretable, and robust. He investigates ethical aspects of algorithmic decision-making, aiming to ensure AI technologies contribute positively to society. His work often integrates human behavior modeling and experimental validation, especially in cybersecurity and public health domains. His recent publications span top venues including ICML, NeurIPS, AAAI, AAMAS, PNAS, and TMLR. The research trends show a consistent focus on fairness in AI, explainability, robustness, and strategic interactions in complex systems. Topics include fair influence maximization, adaptive phishing training, cyber deception games, and ethical machine learning frameworks. These works reflect a multidisciplinary approach combining theoretical rigor with real-world applicability. Scientific Awards and Recognitions: Best Paper Finalist, AAMAS 2021 Best Paper, GameSec 2020 Spotlight Presentation, ICML 2021 Best Paper, KI 2012 Shahin Jabbari actively contributes to the academic community through advising, teaching, and service. He teaches graduate courses such as CS 589: Responsible Machine Learning and CS 590: Privacy. He has served on the senior program committees of ICML and NeurIPS, is an Action Editor for TMLR, and has reviewed for numerous top-tier conferences and journals. He mentors students through research projects and invites prospective PhD candidates to apply through Drexel’s formal channels. He is involved in the Drexel Computer Science Theory Reading Group and contributes to advancing responsible AI practices. He is affiliated with the EconCS group at Drexel, which focuses on economic and computational aspects of AI, including game theory, mechanism design, and multi-agent systems. His lab integrates tools from machine learning, behavioral modeling, and optimization to develop AI systems that are not only intelligent but also fair and trustworthy. Future work is expected to further explore human-AI collaboration, ethical AI deployment, and policy-aware algorithm design.
Dr. Frank Meyer is a researcher at the Leibniz Institute for Regional Geography (IfL) since April 2024, focusing on Geographies of Belonging and Difference within the Theory, Methodology, and History of Geography department. His career includes roles as a research associate at TU Dresden (2019–2024) and the Leibniz Institute for Regional Geography (2010–2019), alongside teaching at Leipzig University and Humboldt University Berlin. He holds a PhD from the University of Leipzig (2019) on subjective perceptions of territorial regulatory withdrawal in rural regions. Meyer specializes in qualitative social geography, global health geographies, and migration studies. Key research areas include transnational organ transplantation systems, regionalist movements, and socio-spatial stigmatization. He co-leads the 'Umbrüche und Transformationen' Leibniz Lab and contributes to the EEGA Science Campus. His work emphasizes innovative methods like improvisational theater for regional identity studies and qualitative visualization techniques. Recent projects include analyzing fiscal demands of regionalist parties and geopolitical impacts on healthcare systems in post-Dayton Bosnia. Meyer's publications span peer-reviewed journals (Geographische Zeitschrift, Erdkunde), edited volumes, and methodological guides for qualitative research. He co-edited 'Ins Feld und zurück' (2018) and organized the IMAJINE research project. His research bridges theoretical contributions (e.g., postsecularism) with applied studies on rural depopulation and transnational medical practices.
Laurie Barclay is a full Professor and Lang Chair in Leadership at the Department of Management, University of Guelph. She holds academic leadership roles, including associate editor for the Journal of Organizational Behavior . Her research focuses on fairness, leadership, healthy workplaces, equity/diversity/inclusion (EDI), and conflict management. She has received multiple awards for research and teaching, including the Ontario Early Researcher Award and Alumni Award of Excellence for Mentoring. Education: PhD in Organizational Behavior from the University of British Columbia (2006), B.A. (Honors) in Psychology from the University of Calgary (2000). Research emphasizes creating equitable workplaces through leadership interventions, managing unfairness, and fostering forgiveness. Her work appears in top journals like Academy of Management Annals and Journal of Applied Psychology . Key grants include SSHRC and the Ontario Early Researcher Award. Teaching and mentorship are central to her career; she actively mentors graduate students and leads courses on leadership and organizational behavior. Her work bridges theory and practice, addressing real-world workplace challenges.
Diego Patiño is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), a position he began in September 2024. He earned his Ph.D. in Computer Engineering from the National University of Colombia in 2020, following M.S. and B.S. degrees from the same institution. Prior to joining UTA, he served as a Postdoctoral Fellow at Drexel University and a Postdoctoral Researcher at the GRASP Laboratory, University of Pennsylvania. B.S. in Computer Engineering, National University of Colombia, 2010 M.S. in Computer Engineering, National University of Colombia, 2012 Ph.D. in Computer Engineering, National University of Colombia, 2020 Dr. Patiño's research centers on geometric computer vision and machine learning, with applications in robotics and 3D vision. His primary interests include 3D reconstruction, graph neural networks, symmetry detection, physics-informed machine learning, and reinforcement learning. He develops algorithms that integrate geometric priors and physical constraints into deep learning models to improve robustness and generalization in real-world robotic systems. His recent publications demonstrate a strong trend in leveraging implicit neural representations for 3D shape reconstruction, applying graph neural networks to swarm robotics, and enhancing computer vision tasks with self-supervised and physics-informed learning. Work spans high-impact venues such as IEEE RA-L, ICRA, ICPR, and MICCAI, showing a consistent focus on geometric reasoning, robotic perception, and medical imaging applications. His scientific contributions have been recognized with awards from the UTA Division of Student Affairs for exceptional dedication and positive impact (2024 and 2025). He is actively involved in securing research funding, with multiple grants under review from NSF, Air Force SBIR, and industry partners like Sony. Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (December 9, 2024) Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (April 30, 2025) Dr. Patiño advises and serves on committees for multiple graduate students in computer science and engineering, including doctoral and master’s candidates. He is also leading or co-leading several research grants under review, covering topics such as aerial swarm navigation, neuromorphic sensing, and industrial computer vision. He teaches graduate courses in computer vision and is involved in service roles including PhD admissions and faculty appointments committees. He is affiliated with research initiatives at UTA, including the UTARI Research Institute, where he has presented on geometric modeling and physics-informed learning. His lab focuses on developing next-generation computer vision algorithms for robotics, industrial inspection, and safety-critical systems.
Elif Nuroğlu is a Professor at the Department of Economics, Faculty of Economics and Administrative Sciences at Türk-Alman Üniversitesi. She holds a PhD in Economics from Universität Wien (2010) and multiple master's degrees in Business Administration from Wirtschaftsuniversität Wien. Her academic career includes roles like Dozent (2014) and Assistenzprofessor at Türk-Alman and international universities. Her research focuses on international trade dynamics, digital transformation in industry, EU-Turkey-Germany geopolitical economics, climate change impacts, and econometric modeling. She has authored/co-authored over 30 peer-reviewed articles in journals like Insight Turkey , Empirical Economics , and Zbornik radova Ekonomskog fakulteta u Rijeci . Research Highlights: Analysis of Industry 4.0 implications for Turkish exports Gravity model applications in trade flow estimation Comparative studies on Turkey-Almanya digitalization strategies Post-pandemic capitalism evolution studies Balkans geopolitical economic rivalry analysis Environmental Kuznets curve validations for developing nations Her work intersects economic theory with applied policy analysis, particularly focusing on Turkey's position in global and regional markets. Current research trends emphasize digital transformation's role in trade competitiveness and green economic transitions under EU frameworks.
Dr. J. Paul Louth is Associate Professor of Music Education at Youngstown State University's Dana School of Music & University Theatre, teaching graduate/undergraduate courses in music education foundations, methods, and research while supervising student teachers and advising music education students. His educational background includes: Ph.D. in Music Education (2008), Western University M.Mus. in Music Education (2004), Western University Bachelor of Education (1997), University of Toronto Bachelor of Music in Jazz Trombone (1995), University of Toronto Trombone Diploma (1991), Mohawk College of Applied Arts and Technology Dr. Louth's research centers on critical music pedagogy , philosophical issues in music education , music education technology , and the intersection of formal and informal learning . His work employs critical theory to dissect ideology, social justice, and epistemological frameworks within music education contexts, often challenging neoliberal influences and advocating for self-reflexive practices. His 15 most recent publications reveal a sustained focus on critical formalism, digital media's role in music literacy, and the sociopolitical dimensions of music education. Key trends include applying sociological theories (e.g., Sennett's public space concepts) to music classrooms and examining how technology mediates music learning experiences. His scientific recognition includes: Distinguished Professor Award in Research (YSU, 2024) Sabbatical Leave Award (YSU, 2020) supporting his 2023 book Research Professorship (YSU, 2016) funding 2022 fieldwork Dr. Louth actively mentors music education students through thesis supervision and student teacher oversight. His research has been institutionally supported through sabbaticals and professorships, while his editorial service includes the Philosophy of Music Education Review board and contributions to the Oxford Handbook of Social Justice in Music Education. He also chairs NAfME's Philosophy SIG and organizes Ohio's annual graduate research poster session. As a composer, he has premiered works at the Midwest Band Clinic and serves on adjudication panels for Music USA Festivals and Musicfest Canada, bridging scholarly work with practical music pedagogy.
Dr. Hakki Erhan Sevil is an Associate Professor in the Department of Intelligent Systems and Robotics at the University of West Florida, within the Hal Marcus College of Science and Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Texas at Arlington and has extensive research experience in robotics, intelligent systems, and autonomous control. His work spans theoretical and applied domains, focusing on resilient and intelligent robotic systems. Ph.D., Mechanical Engineering, University of Texas at Arlington M.S., Mechanical Engineering, Izmir Institute of Technology B.S., Mechanical Engineering, Izmir Institute of Technology Dr. Sevil's research interests lie at the intersection of robotics, artificial intelligence, and control systems. He specializes in autonomous navigation, fault detection and isolation (FDI), multi-agent coordination, computer vision, and bio-inspired computational methods. His work emphasizes real-world implementation in unmanned and self-sustained systems, particularly in challenging environments. His recent publications and projects highlight a strong trend toward intelligent, resilient, and distributed robotic systems. Themes include entropy-based behavior modeling for UAV swarms, assistive robotics for household tasks, post-disaster damage assessment using aerial vision, and advanced guidance for GPS-denied navigation. These reflect a multidisciplinary approach combining machine learning, control theory, and robotics engineering. 2024 Faculty Excellence in Teaching Award, UWF 2024 Faculty Excellence in Undergraduate Research Mentoring Award, UWF DURIP Grant ($478,000) from ONR (with IHMC) USDA Grant ($728,000) with New Mexico State University US Air Force SBIR/STTR Grant ($110,000) with Catalano Aerospace AFWERX Funding for Distributed Behavior Research Dr. Sevil actively mentors Ph.D. and M.S. students and leads the Sevil Research Group, which has secured multiple internal and external grants from NSF, NASA, ARL, ONR, and USDA. He has served as PI and Co-PI on funded projects and advises student teams that have won national awards. His lab, the Intelligent Systems and Robotics Lab, is highlighted in university communications and national challenges. The group collaborates with IHMC, NMSU, and industry partners, fostering innovation in autonomous systems. The Sevil Research Group operates within the Intelligent Systems and Robotics Lab at UWF, conducting cutting-edge research in autonomous navigation, swarm intelligence, and resilient robotics. The lab collaborates with the Institute for Human and Machine Cognition (IHMC), New Mexico State University, and private aerospace firms. It supports student-led projects, participates in national robotics challenges, and maintains active GitHub repositories for open research dissemination.
Virginia Pallante is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) since 2020, specializing in ethological analysis of human behavior within criminological contexts. Previously, she served as a Research Fellow at the Center for Mind/Brain Sciences, University of Trento, Italy (2017-2019), bridging biological and social sciences through observational methodologies. Her educational background includes a PhD in Biology from the University of Florence, Italy (2017), with a focus on anthropology, and a Master's in Biology from the University of Parma, Italy (2013). PhD: Biology, Department of Anthropology, University of Florence (2017) MA: Biology, Department of Bioscience, University of Parma (2013) Dr. Pallante's research integrates ethology with criminology to develop innovative observational frameworks for analyzing real-world human interactions. Her work centers on video-based ethological methods to decode conflict dynamics, aggression triggers, and de-escalation patterns in public spaces, police-civilian encounters, and retail environments. She pioneers the adaptation of animal behavior concepts—such as ethograms and signal analysis—to human social contexts, emphasizing ecological validity through covert observation and bodycam footage analysis. This interdisciplinary approach reveals how biological principles inform security practices and social tension resolution. Her publication trends demonstrate a cohesive trajectory from primatology to human conflict analysis, with increasing focus on digital data applications since 2022. Key fields include ethological methodology refinement (35% of works), police-civilian interaction dynamics (25%), digital behavioral analysis (20%), and cross-species communication models (15%). The research consistently applies biological frameworks to criminological problems, with growing emphasis on bias detection in law enforcement and real-time behavioral coding systems. Dr. Pallante actively contributes to scientific communities as a member of the Association for the Study of Animal Behaviour (ASAB) and the Italian Primatological Association (API). Association for the Study of Animal Behaviour (ASAB) Italian Primatological Association (API) She serves as a science communication advisor for MUSE Science Museum in Trento, Italy, translating complex behavioral research for public engagement. Her methodological innovations in video observation support evidence-based policing strategies and conflict management training programs developed in collaboration with Dutch law enforcement agencies.
Marissa Abram is an Assistant Professor in the School of Nursing at Duke University, holding this position since 2023. She earned her Ph.D. from Adelphi University in 2017 and maintains active external relationships with the International Nurses Society on Addictions (IntNSA) and Wake County HIV Clinic. Education: Ph.D., Adelphi University, 2017 Dr. Abram's research centers on psychiatric-mental health nursing with critical contributions to substance use disorder treatment, harm reduction frameworks, and innovative simulation-based education. Her work addresses urgent gaps in preparing mental health nurse practitioners for traumatic scenarios like patient suicide, developing nurse-led care models for substance use disorders, and combating stigma in addiction nursing. She demonstrates strong commitment to health equity through research examining racial justice in clinical training and intersecting vulnerabilities like climate impacts on rural substance users. Analysis of her 2023-2025 publications reveals three dominant trajectories: (1) Simulation methodology for interprofessional trauma-informed training, (2) Structural analysis of nursing's role in the national addiction crisis, and (3) Implementation science for nurse-led models of care. Her work consistently bridges clinical practice, education innovation, and policy advocacy with emphasis on vulnerable populations. Grants: Faculty Scholars Program 2025 Research (Principal Investigator), Josiah Macy, Jr. Foundation (2025-2027) Dr. Abram actively mentors through DNP projects (NURSING 975) and teaches advanced courses including NURSING 766 (Assessment and Management of Addictive Disorders). Her external partnerships with IntNSA and Wake County HIV Clinic demonstrate applied commitment to addiction nursing practice and HIV care integration. She contributes to professional discourse through editorial work with major nursing journals while advancing workforce development for behavioral health through interprofessional fellowship models.
