Adeel Tariq is a Post-Doctoral Researcher at the Industrial Engineering and Management department of LUT School of Engineering Sciences , Lappeenranta University of Technology, Finland. He completed his Ph.D. (2019) and MBA (2014) at the School of Management , Asian Institute of Technology, Thailand. Research Focus: Technology and innovation management, digital transformation, sustainable development, knowledge management, and leadership studies. Peer Review: Active reviewer for journals including Leadership & Organization Development Journal , Journal of Intellectual Capital , and European Journal of Innovation Management . Collaborations: Regular co-author with Waqas Tariq, Muhammad Saleem Sumbal, and Marko Torkkeli on topics like digital governance, fintech, and SME sustainability.
Professor Alexander Koller is a leading academic in Computational Linguistics at Saarland University's Department of Language Science and Technology. He holds a courtesy appointment in Computer Science and contributes to the Saarland Informatics Campus - one of Europe's premier computer science research centers. He leads the Computational Linguistics group and serves as speaker for the DFG-funded Research Training Group 'Neuroexplicit Models of Language, Vision, and Action'. PhD in Computer Science (Saarland University) Former positions: University of Potsdam, Columbia University, University of Edinburgh Sabbatical experiences: Meta AI (Paris), Allen Institute for AI (Seattle) His research focuses on computational modeling of meaning and reasoning in NLP, combining neural and symbolic approaches. Key contributions include semantic parsing systems like the AM parser and Alto, neurosymbolic models, and the GIVE Challenge for NLG evaluation. His recent work explores LLMs' limitations in problem-solving and compositional generalization. Recent publications highlight diverse applications across semantic parsing, dialogue systems, and LLM evaluation. Awards include ACL 2020 Best Theme Paper and multiple Outstanding Paper recognitions at ACL conferences. 2025 - AI Action Summit keynote speaker 2023 - ACL Outstanding Paper Awards 2022 - ELLIS Faculty appointment He maintains the DialogOS system for spoken dialogue development and teaches advanced computational linguistics topics. His group includes multiple postdocs and PhD students working across LLMs, dialogue systems, and semantic modeling.
Dan Nguyen, Ph.D., is a faculty member in the Department of Radiation Oncology at UT Southwestern Medical Center, where he is part of the Division of Medical Physics and Engineering. He is a founding member of the Medical Artificial Intelligence and Automation (MAIA) Laboratory, collaborating closely with Dr. Steve Jiang to advance AI applications in radiotherapy. His work focuses on deep learning for treatment planning, dose prediction, auto-segmentation, and adaptive radiotherapy. Ph.D. in Biomedical Physics, University of California, Los Angeles (UCLA), 2017 Mentor: Dr. Ke Sheng Faculty appointment at UT Southwestern since 2017 Dr. Nguyen’s research is centered on applying artificial intelligence to solve critical challenges in radiation oncology. His primary interests include deep learning-based dose prediction, auto-segmentation of anatomical structures, optimization of treatment plans, and real-time adaptive radiotherapy. He has pioneered work in direct aperture optimization, 4π radiotherapy, and uncertainty quantification in AI models. His research bridges the gap between AI innovation and clinical implementation, with a focus on improving plan quality, reducing planning time, and enhancing accessibility for less experienced clinicians. The most recent publications (2023–2025) demonstrate a consistent trend in developing fast, accurate, and robust deep learning models for radiotherapy. Key themes include dose prediction with transfer and meta-learning, adaptive segmentation using test-time optimization, uncertainty assessment in AI predictions, and mathematical modeling of radiotherapy-immunotherapy synergy. These works span high-impact journals in medical physics, AI, and oncology, reflecting interdisciplinary innovation. While no specific scientific awards are listed, Dr. Nguyen’s leadership in the MAIA Lab and extensive publication record in top-tier journals indicate significant recognition in the field of medical physics and AI in medicine. Dr. Nguyen has co-authored numerous studies involving mentoring and collaborative research, particularly with trainees and junior faculty in the MAIA Lab. His work is supported by institutional and likely federal funding, given the scale and scope of AI deployment studies. He has contributed to large-scale collaborative efforts such as OpenKBP-Opt, involving international teams evaluating knowledge-based planning pipelines. The MAIA Laboratory is a multi-investigator research group focused on innovating, developing, and applying artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. The lab’s work spans machine learning, deep learning, reinforcement learning, and mathematical modeling in radiation oncology.
Delphine Allès is a University Professor at the National Institute of Oriental Languages and Civilizations (INALCO) in Paris, France, where she serves as Vice-President responsible for board of directors, organization and resources. She is a leading scholar in International Relations with a focus on Southeast Asia, particularly Indonesia, and specializes in non-Western approaches to international relations, religion in global politics, and Indo-Pacific security dynamics. Her research interests span multiple interconnected domains: Religion and International Relations Non-Western Approaches to International Relations Diplomacy, Security and Multilateral Cooperation in Southeast Asia (Indonesia / Indo-Pacific) Civilizational Narratives Global International Relations and Area Studies Allès's scholarly work demonstrates a consistent focus on decentralizing International Relations theory through empirical studies of Southeast Asian practices. Her recent publications examine the Indo-Pacific concept, religious diplomacy between Russia and Indonesia, and critiques of Western-centric security frameworks. She has pioneered research on how non-Western civilizations conceptualize international order, particularly through religious frameworks. Professor Allès serves on the editorial boards of multiple prestigious journals including European Journal of East Asian Affairs, Global: Jurnal politik internasional, and Archipel. She is also Scientific manager of the AMI-SHS DECRIPT program focused on crises and civilizational narratives. Her administrative leadership includes membership on the Scientific and Strategic Council of Pôle Asie (MEAE) and the board of the French Political Science Association. Previously, she directed the International Relations department at INALCO (2018-2023) and co-edited the journal Etudes internationales (2021-2024).
Laurie Williams serves as a Goodnight Distinguished University Professor in the Computer Science Department within the College of Engineering at North Carolina State University. She co-directs both the NCSU Secure Computing Institute and the NC State Science of Security Lablet, demonstrating deep institutional leadership in cybersecurity research. With over 260 refereed publications, her work establishes her as a prominent figure in software security academia. Her research spans critical areas including software security, agile development practices (particularly continuous deployment), software reliability, and software supply chain security. Williams focuses on practical security solutions addressing modern challenges like malicious dependencies in open-source ecosystems, AI-generated code vulnerabilities, and runtime protection mechanisms. Her work bridges theoretical security principles with industry-relevant applications. Recent publications reveal strong trends toward software supply chain security, with multiple 2024-2025 papers addressing vulnerability exploitability, malicious commit detection, and metrics-driven security control selection. Her research increasingly incorporates machine learning for threat detection while maintaining focus on human factors in secure development practices. IEEE Fellow (2018) National Science Foundation CAREER Award (2004) ACM SIGSOFT Influential Educator Award (2009) Multiple IBM Faculty Awards (2002-2012) NCSU Alumni Association Outstanding Research Award (2015-2016) Williams leads multiple major NSF-funded projects including the $5.7M SaTC Frontiers grant on secure software supply chains and the Science of Security Lablet with $3.6M in DoD funding. Her research emphasizes practical industry impact through collaborations with Cisco and Laboratory for Analytic Sciences. She actively mentors through the NCSU Research Leadership Academy and maintains significant educational outreach in software security. Her laboratory work centers on the Secure Computing Institute and Science of Security Lablet, where her team develops frameworks for vulnerability prediction, supply chain risk assessment, and secure development methodologies. Current projects focus on machine learning integrity, cognitive modeling for security decisions, and empirical analysis of build/deployment logs for anomaly detection.
Arash Joorabchi is an Assistant Professor at the Department of Electronic and Computer Engineering, Faculty of Science and Engineering, University of Limerick, Ireland. His research focuses on the intersection of machine learning, educational technology, and digital library systems, with particular emphasis on automated assessment, text mining, and knowledge organization techniques. Research Trends: Analysis of his publications reveals sustained contributions to automated short-answer grading, Arabic text classification, and semantic integration of Wikipedia with academic resources. Key methodologies include sentence transformers, hybrid text representation models, and citation-based indexing techniques. Technical Domains: His work spans natural language processing, educational data mining, metadata management, and semantic web technologies. Specific applications include Q&A platform analysis, library resource discovery, and curriculum development systems.
Christos Gatzidis serves as Executive Dean of Bournemouth University's Faculty of Science and Technology since October 2023, overseeing six departments including Computing and Informatics, Creative Technology, and Psychology. Previously Deputy Dean (2021-2023) and Head of Creative Technology Department (2016-2021), he was appointed Professor in Creative Technology in November 2019. The Faculty leads five REF Units of Assessment and secures funding from AHRC, NIHR, and Innovate UK for research spanning digital healthcare, gaming technologies, and cultural heritage applications. His educational qualifications include: PhD in Information Science, City University London (2010) PG Cert in Research Degree Supervision, Bournemouth University (2010) MA in Computer Animation, Teesside University (2003) BSc (Hons) in Computer Studies (Visualisation), University of Derby (2002) Professor Gatzidis specializes in computer graphics with research spanning virtual reality, serious games, and digital healthcare applications. His work bridges technical innovation and practical implementation, particularly in mindfulness prototypes for healthcare and stroke rehabilitation systems. Current projects focus on the multidisciplinary application of gaming technologies in medical contexts, emphasizing user experience and therapeutic outcomes through collaborations with industry partners. His publication record (2014-2025) demonstrates evolving expertise from foundational computer graphics research in terrain generation and deformation to applied work in healthcare, cultural heritage, and music education. Key trends include virtual reality for therapeutic mindfulness, usability studies in mobile gaming, and digital cultural presentation techniques, reflecting a trajectory toward socially impactful technological solutions with strong industry translation. No scientific awards are documented in the provided information. He has supervised PhD students and secured competitive research funding, including two Innovate UK Knowledge Transfer Partnerships. His principal investigator role in a virtual reality mindfulness prototype project exemplifies his approach to translating academic research into practical industry solutions, with current focus on expanding knowledge exchange activities to support the University's civic engagement mission. As Executive Dean, he leads faculty-wide research strategy across six departments, fostering interdisciplinary collaborations particularly in digital healthcare and cultural heritage. His personal research integrates computer graphics expertise with clinical applications through partnerships with healthcare providers and technology companies, driving innovation in therapeutic VR systems and educational gaming platforms.
Radu Atanasiu is a Lecturer at the Department of Management and Organisation within the School of Business and Economics at Vrije Universiteit Amsterdam. His research focuses on managerial heuristics, decision-making processes, and organizational behavior. He holds a PhD in Management, as evidenced by his 2023 doctoral thesis titled 'Simple rules made simple: The origins and outcomes of managerial heuristics.' His research interests include the application of heuristics in leadership, the integration of intuition into managerial practices, and the lifecycle of organizational proverbs. He has published extensively in journals such as International Journal of Management Reviews and Journal of Management Studies , with a focus on understanding how CEOs and managers develop and utilize simple rules in complex environments. Dr. Atanasiu's work bridges theoretical frameworks with practical managerial challenges, emphasizing the dynamic processes of heuristic formation and their impact on organizational decision-making. His contributions address topics such as emotional intelligence in leadership, informal communication, and the cultural transmission of managerial proverbs within organizations.
Carmen Huckel Schneider is an Associate Professor at the University of Sydney, holding positions as Deputy Director of the Leeder Centre for Health Policy, Economics and Data and Director of Academic Education in the Sydney School of Public Health. She also serves as Honorary Senior Fellow at the George Institute and Senior Adviser at the Sax Institute. Her research focuses on global health governance, health policy analysis, and health systems financing. She completed her PhD at the University of Tübingen, examining global health organizations' legitimacy. Her current research explores governance in global health, comparative health systems analysis, and systems approaches to health policy. She leads the Health Governance, Policy and Leadership theme at the Leeder Centre and coordinates units on 'Health Systems and Financing' and 'Global Health Policy'. Notable grants include NHMRC Partnership Grants for health system reforms in NSW and a Centre for Research Excellence in Integrating Health and Social Care. She collaborates internationally, including with the University of Geneva on projects analyzing global health security discourses. Her publications span global health governance, health system reforms, and policy frameworks. She has authored books like *The Legitimacy of Global Health Governance* and contributed to high-impact journals such as *The Lancet Regional Health* and *BMJ Global Health*.
Camilla Audia is an Assistant Professor at the Department of Geography, University of Warwick. Previously, she spent seven years as a researcher at King's College London's Geography department. Her work focuses on climate change adaptation, health equity, and sustainable development through co-production of knowledge with non-academic stakeholders. She holds a PhD from SOAS (2018), which examined land tenure and resource management in Burkina Faso during climatic extremes. Her research integrates arts-based methods like photography and theater to address complex societal challenges. Current projects include the PATH initiative (2024-2027), analyzing climate adaptation perceptions among irregular migrants in London. She has collaborated with international NGOs, policy actors, and institutions including the Wellcome Trust and DFID. Teaching includes modules on Health and Sustainable Development (GD204/GD209/GD212) and Addressing Disasters for Sustainable Development (GD325). She is currently accepting two PhD students for 2025/26 entry, focusing on interdisciplinary planetary health and urban resilience themes.
Sandra González-Bailón is the Carolyn Marvin Professor of Communication at the University of Pennsylvania's Annenberg School for Communication and holds a secondary appointment in Sociology. As Director of the Center for Information Networks and Democracy (CIND), her research examines how communication networks shape information exposure, with implications for political engagement, mobilization dynamics, and news consumption patterns. Her methodological work bridges computational social science and political communication. Education M.S. from University of Oxford (2004) Ph.D. from University of Oxford (2007) Research Focus González-Bailón's research program investigates the intersection of technology and society, with emphasis on how digital networks transform political communication. Key areas include: Information diffusion : Studies how content spreads through social platforms during elections and crises Algorithmic curation : Examines how platform algorithms shape ideological segregation and exposure diversity Network dynamics : Maps communication patterns in online collective action and protest movements Her empirical work employs computational methods to analyze digital trace data at scale. Publication Trends Recent publications demonstrate sustained focus on social media's impact during democratic processes, particularly the 2020 U.S. election. Key thematic threads include: misinformation diffusion patterns, asymmetric polarization in news exposure, experimental analysis of platform deactivation effects, and methodological innovations in computational social science. Notable contributions appear in Science , Nature , and PNAS . Center Leadership As founding director of CIND, González-Bailón oversees research examining how digital technologies impact democratic resilience, with projects spanning misinformation analysis, network mapping of political discourse, and policy interventions for platform governance.
Ken Forbus is the Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University. He earned his Ph.D. in Artificial Intelligence from MIT in 1984, along with S.M. and S.B. degrees in Computer Science from the same institution. Current research focuses on qualitative reasoning , analogical reasoning , spatial reasoning , sketch understanding , and the Companion cognitive architecture . He has made foundational contributions to qualitative physics , compositional modeling , and cognitive simulation through systems like CyclePad and Companions . His work spans AI, cognitive science, and education technology with applications in intelligent tutoring systems , educational software , and interactive entertainment . Awards and Fellowships: Humboldt Research Award AAAI Fellow Cognitive Science Society Fellow ACM Fellow AAAS Fellow Herbert A. Simon Prize recipient Research trends in recent publications include analogical reasoning frameworks, normative modeling, pretense simulation, qualitative spatial representations, and applications in education and cognitive systems. Articles frequently address intersections between AI, cognitive science, and human-computer interaction. Teaching activities include core courses like Cognitive Science 207 , Design of Problem Solvers , and Conversational AI . He co-developed the open-source Freeciv game framework for AI research in strategy games.
Chao Ma is a Lecturer at the Research School of Management, Australian National University (ANU). He holds a Doctor of Philosophy, MPhil, Master of Business, and BBA in Human Resource Management from ANU and HKBU. His research focuses on Human Resource Management (e.g., perceived overqualification, career development) and Organisational Behaviour (e.g., leadership, unethical pro-organisational behaviour). He has supervised research students and contributed to over 22 peer-reviewed articles since 2016, exploring topics like AI in HR, knowledge-sharing platforms, and leadership dynamics. His work often examines cross-cultural contexts, particularly in China, addressing themes such as temporary worker integration, follower behaviour under authoritarian leadership, and the dual effects of overqualification on workplace outcomes. Collaborations span international scholars, focusing on topics like employee voice, humility in leadership, and stress management in multi-employment environments. Chao Ma's research bridges theoretical frameworks with practical implications for managing modern organisational challenges, emphasizing ethical leadership, employee well-being, and leveraging technology in HR practices. His recent studies highlight AI's role in improving migrant worker conditions and resolving knowledge-sharing dilemmas in digital platforms.
Yading Yuan, PhD is an Associate Professor of Radiation Oncology (Physics) at Columbia University Irving Medical Center and a member of the Data Science Institute. He holds a PhD in medical physics from the University of Chicago (2010) and completed clinical residency at Harvard Medical Physics Program (2013). His research focuses on AI-driven innovations in radiation oncology, including automated medical image analysis systems, federated learning frameworks for tumor segmentation, and data-driven approaches to personalized cancer treatment. He is certified by the American Board of Radiology and licensed in New York State. Education: PhD in Medical Physics (University of Chicago, 2010); Clinical Residency (Harvard Medical Physics Program, 2013). Research interests include: automated knowledge-based treatment planning, large-scale clinical AI systems, medical image reconstruction algorithms, and panomics integration for precision oncology. His work emphasizes translating data science advancements into clinical practice to improve patient outcomes. Key trends in his publications include federated learning for privacy-preserving medical AI, tumor segmentation in multi-modal imaging (PET/CT, MRI), and AI-driven prediction of treatment outcomes and recurrence risks. Recent work emphasizes decentralized learning architectures and cross-institutional collaboration systems. Scientific Awards: Distinguished Reviewers 2013 (selected by peer review committees) Advising/grants: No specific student names or grant details listed in provided text. His work is supported through institutional and collaborative research initiatives. Labs/teams: Active member of Columbia's Data Science Institute and Radiation Oncology department, contributing to interdisciplinary medical AI research groups.
Joshua D. Kertzer is the John Zwaanstra Professor of International Studies and Government at Harvard University, where he also serves as Director of Graduate Studies. His research integrates international security, political psychology, and foreign policy analysis. His work examines public opinion formation, elite decision-making, and experimental approaches to international relations. Recent studies focus on how observers assess resolve in international conflicts, partisan influences on foreign policy attitudes, and the psychological foundations of reputation costs. Publications demonstrate methodological innovation in combining survey experiments with archival research, exploring topics from democratic credibility to signaling in crisis diplomacy. His award-winning research has been recognized by the International Studies Association and American Political Science Association.
