Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars
Anastassios Karistinos, M.D., is an Assistant Professor in the Department of Orthopedic Surgery at Baylor College of Medicine. He holds clinical roles at Ben Taub Hospital, Baylor Clinic, and the Michael E. DeBakey VA Medical Center in Houston, Texas. Dr. Karistinos completed his medical degree (MD) at Aristotle University of Thessaloniki (1993), followed by residency at Louisiana State University Health Sciences Center (2005) and a fellowship in Advanced Orthopaedics and Sports Medicine (2005). His professional interests focus on complex musculoskeletal conditions including multi-ligament knee injuries, meniscal transplantation, cartilage restoration techniques (OATS, ACI), knee osteotomies, shoulder instability, rotator cuff injuries, and shoulder arthroplasty. He emphasizes patient safety and critical evaluation of emerging medical technologies, prioritizing evidence-based treatments. Dr. Karistinos is certified by the American Board of Orthopaedic Surgery in both Orthopaedic Surgery and Orthopaedic Sports Medicine. He is a Fellow of the American Academy of Orthopaedic Surgeons and specializes in sports medicine, arthroscopic surgery, and trauma care. His research integrates anatomical insights with clinical outcomes to improve surgical techniques and patient recovery processes.
Nick Koudas is a Professor in the Department of Computer Science at the University of Toronto, specializing in large-scale data management, data systems, and applied machine learning. His research integrates machine learning techniques into scalable data platforms to enhance the analysis of massive datasets. He holds a PhD from the University of Toronto, an MSc from the University of Maryland, and a Bachelor's degree from the University of Patras. Education: PhD, University of Toronto MSc, University of Maryland at College Park Bachelor's degree, University of Patras, Greece Research Interests: Relational Deep Dive (ReDD): Natural language query execution over unstructured documents Streaming Video Queries (SVQ): Interactive query processing for video streams Reliable Text-to-SQL: Generating accurate SQL queries with human-in-the-loop assistance Machine Learning Integration in Data Systems Publications: Focus on video analytics, query processing, and reliable natural language interfaces. Notable works include optimizing video queries, declarative frameworks for temporal constraints, and abstention-based SQL generation. Awards: Inventor of the Year (1st Prize), University of Toronto (2011) Best Paper Awards at international conferences Entrepreneurship & Advising: Co-founder of Sysomos (Meltwater Group), Aislelabs (Constellation Software), and Workorb Advisor to mapintent and ktau Labs & Teams: Leads research groups developing systems like ReDD and SVQ, emphasizing collaboration between academia and industry.
George J. Mailath is the Walter H. Annenberg Professor in the Social Sciences and Professor of Economics at the University of Pennsylvania, and an Honorary Professor at the Research School of Economics, Australian National University. He specializes in microeconomics, noncooperative game theory, repeated games, and the theory of reputations. His research explores pricing strategies, evolutionary game theory, and social norms. Mailath is a Fellow of prestigious institutions including the American Academy of Arts & Sciences and the Econometric Society. He served on the Econometric Society Council (2013-2015, 2020-2023), Game Theory Society Council (2005-2011), and co-founded Theoretical Economics . His editorial roles include editorships at Econometrica , Review of Economic Studies , and others. His 2019 book Modeling Strategic Behavior provides graduate-level insights into game theory and mechanism design. Mailath’s articles focus on strategic interactions, reputation effects, and dynamic game theory. Notable works include analyses of trust in risk-sharing mechanisms and coalition-proof strategies under frictions. His research emphasizes long-term strategic behavior and institutional design.
Jampel Dell'Angelo is an Associate Professor with ius promovendi in Water Governance and Politics at the Department of Environmental Policy Analysis, Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam. He holds concurrent roles as a Visiting Scholar at the University of California, Berkeley's Ecohydrology Lab, and an Environmental Governance Affiliate Scholar at SESYNC, Maryland. His research focuses on multilevel dimensions of water governance, climate adaptation in African irrigation systems, and transnational land investments' impacts. He leads the EU-funded NEWAVE project, coordinating 15 Early Stage Researchers across 10 institutions. Educated with a dual PhD in Environmental Science (Autonomous University of Barcelona) and International Cooperation (Sapienza University), he also holds advanced degrees from the LSE, Sapienza, Curtin, and the University of Siena. As Editor-in-Chief of World Development , he promotes interdisciplinary research on socio-environmental systems. His work contributes to UN SDGs related to clean water, sustainable cities, and responsible production. Research interests span water grabbing dynamics, socio-ecological resilience, and policy frameworks for equitable resource management. Recent projects address Mediterranean water scarcity solutions and the socio-political implications of global land rushes. He supervises PhD candidates exploring themes like water democracy, agrifood transitions, and environmental justice. Key contributions include pioneering analysis of 'water commons grabbing' and documenting the Global Water Grab Syndrome. His documentary work complements field research, such as Working Together: Research and Water Governance on Mount Kenya . Current projects emphasize innovative governance models and climate-resilient water management in transboundary contexts.
Shinji Watanabe is an Associate Professor at Carnegie Mellon University's Language Technologies Institute and a Courtesy Professor in the Electrical and Computer Engineering department. He holds a Ph.D. (Dr. Eng.) from Waseda University, Japan, and has held research roles at NTT Communication Science Laboratories, Mitsubishi Electric Research Laboratories (MERL), and Johns Hopkins University. His research focuses on automatic speech recognition, speech enhancement, and machine learning for speech processing. Watanabe has published over 300 peer-reviewed papers and received the Best Paper Award at IEEE ASRU 2019. His work emphasizes robust speech processing in challenging environments, multilingual models, and neural audio codecs. He leads the ESPnet toolkit development for end-to-end speech processing systems and contributes to technical committees like IEEE SLTC and APSIPA SLA. Recent research trends include streaming speech systems, universal speech enhancement (URGENT challenges), and fusion of discrete speech units with self-supervised representations. He explores scalable speech foundation models through benchmarks like ML-SUPERB 2.0 and investigates cross-modal audio-visual processing in challenges like MISP 2025. Education : B.S., M.S., Ph.D. (Waseda University) Affiliations : CMU Language Technologies Institute, CMU ECE, Former roles at MERL and Johns Hopkins Key Projects : ESPnet, OpenWhisper-Style Models, URGENT Challenge Frameworks
Shaker A. Zahra is the Robert E. Buuck Chair of Entrepreneurship and Professor of Strategy and Entrepreneurship at the Carlson School of Management, University of Minnesota. He has served as department chair for 9 years, Director of the Holmes Center for Entrepreneurship for 10 years, and Academic Co-Director of Carlson Ventures Enterprises. Previously, he held positions as Paul T. Babson Distinguished Professor of Entrepreneurship at Babson College and Professor of Strategy & Entrepreneurship at Georgia State University. His educational background includes: PhD in Business Administration, Business Policy & Managerial Economics from University of Mississippi MBA (with Distinction) in Management/MIS from National University B. Commerce (with Honors) in Management from Al-Azhar University Dr. Zahra's research focuses on international entrepreneurship, corporate entrepreneurship, technological innovation in global industries, and dynamic capabilities. His work examines how firms navigate global markets, develop innovative capabilities, and create value through strategic entrepreneurship. He studies industry emergence, strategic choices in entrepreneurial firms, and the evolution of novelty in company strategies, contributing significantly to knowledge-based and dynamic capabilities perspectives. His extensive publication record spans leading journals including Academy of Management publications, Strategic Management Journal, Journal of International Business Studies, and Journal of Business Venturing. His research covers diverse industries such as robotics, software applications, mobile applications, video games, pharmaceuticals, and nanotechnology across multiple countries including China, Brazil, India, and several European nations. Scientific recognition includes: 2014 Global Award for Entrepreneurship Research Multiple Best Paper Awards from leading journals Five honorary PhD degrees from prestigious institutions worldwide Research.com Business and Management in United States Leader Award (2022-2025) Fellowships in Academy of Management and other professional associations Dr. Zahra has advised or served on committees for over 75 PhD students and has received multiple teaching awards including the Mentor Award from the Entrepreneurship Division of the Academy of Management. His leadership extends to editorial roles on over 25 journal editorial boards and service as Chair of the Entrepreneurship Division of the Academy of Management. He has been a keynote speaker at more than 40 international conferences and has consulted for major global technology companies. His research projects span multiple countries and industries, examining how firms develop capabilities to compete in global markets. He has established several research centers including the Center for Integrative Leadership at the University of Minnesota and has directed major entrepreneurship research conferences including the Babson Kauffman Entrepreneurship Research Conference.
Zohreh Pourzolfaghar is an Assistant Professor in Management Information Systems (MIS) at the School of Business, Maynooth University (MU). She serves as Director of the IT-Enable Innovation Programme and cluster lead for the Digital Construction cluster at the Innovation Value Institute (IVI). She is also a member of Lero, the SFI Research Centre for Software. Education: PhD in Project Management (University Putra Malaysia, 2011); MSc in Management Systems and Productivity; BSc in Software Engineering. Research Interests : Focuses on digital transformation for SMEs, information management in construction, and smart city architectures. Leads EU-funded projects like EnTrust (agri-data governance), DIGI+ (sustainable digital transformation), and DigiFABs (food & beverage SMEs). Co-PI for projects such as GDI-IE (genomic data infrastructure) and PERFORM (digital retail innovation). Grants & Awards : Secured funding from SFI, Enterprise Ireland, and EU. Notable awards include the BIM Hero Award (2022) and Research Engaged Award (2022). Teaching : Courses include Digital Business, Digital Technology Governance, and Enterprise Architecture. Advises PhD students in MIS and digital transformation. Industry Collaboration : Works with firms like ArcDox and Corballis Technologies on BIM standards and data governance. Active in national and EU policy networks, including NSAI committees.
Robert Dick is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, part of the College of Engineering. He previously held roles as Associate Professor at Northwestern University and Visiting Professor at Tsinghua University. He earned his Ph.D. from Princeton University and a Bachelor's degree from Clarkson University. His research focuses on Embedded Systems, Learning Dynamics, Efficient Machine Learning, Privacy, and Censorship Resistance. Key themes include defining problems with correct costs/constraints, broadening access to information technology, mitigating negative tech impacts, and solving inference problems with limited resources. He leads the Embedded Systems Graduate Program and is a member of the Michigan Integrated Circuits Laboratory (MICL). His work spans thermal management, energy-efficient computing, and low-power wireless networks. Notable contributions include innovations in embedded system design, machine vision frameworks, and sensor networks. Courses taught include EECS 507 (Embedded Systems Research), EECS 373 (Embedded System Design), and ENGR 100 (Autonomous Systems). His recent publications emphasize AI model analysis, energy-efficient networks, and environmental sensing. Projects include MemX (attention-aware wearable tech) and LoRa-based LPWAN protocols. Dick co-founded Stryd, a company commercializing embedded systems innovations.
Dr. Cesar Dario Cadena Lerma is a Lecturer at the Department of Mechanical and Process Engineering and a tenured Senior Scientist at the Institute of Robotics and Intelligent Systems (IRIS) at ETH Zurich. He leads the Perception, Mapping and Navigation team within the Robotics Systems Lab (RSL), co-founded and directs the ETH RobotX initiative focusing on educational robotics, and previously held roles at ETH Zurich's Autonomous Systems Lab, University of Adelaide, and George Mason University. His research focuses on robotics perception, particularly in SLAM (Simultaneous Localization and Mapping), semantic scene understanding, and robust perception systems for dynamic environments. Education: PhD in Computer Science and System Engineering from the University of Zaragoza, followed by postdoctoral research at George Mason University and The University of Adelaide. Professional roles include managing director of ETH RobotX and leadership in multi-modal mapping frameworks like maplab 2.0. Research interests emphasize integrating perception and learning in robotics, with a focus on semantic mapping, data association, place recognition, and navigation in unstructured environments. His work bridges traditional SLAM techniques with modern deep learning approaches to create robust, modular systems. Key contributions include the PHASER registration algorithm, SCIM obstacle avoidance framework, and C-Blox dense mapping system. Awards include the Best Paper Award at the 2017 IEEE International Symposium on Safety, Security, and Rescue Robotics. His articles span topics like semantic pointcloud filtering, volumetric mapping, and embodied domain adaptation. He collaborates widely, with over 50 peer-reviewed publications in top venues such as IEEE Robotics and Automation Letters and International Journal of Robotics Research.
Professor Marta Zofia Kwiatkowska is Professor of Computing Systems and Fellow of Trinity College at the University of Oxford, where she has held a faculty position since 2007. She previously served as Professor of Computer Science at the University of Birmingham (2001–2007), Reader and Lecturer at the University of Birmingham (1994–2001), and Lecturer at the University of Leicester (1986–1994). Her academic career began as Assistant Professor at the Jagiellonian University in Kraków, Poland (1980–1988). Education: BSc/MSc in Computer Science, Jagiellonian University, Kraków MA, University of Oxford PhD, University of Leicester Research Interests: Professor Kwiatkowska spearheaded the development of probabilistic and quantitative verification methods on the international stage. Her work bridges theory and practice through the PRISM model checker—the leading software tool in probabilistic model checking—used worldwide for research and teaching. Application domains include communication and security protocols , nanotechnology designs , power management , ubiquitous computing and systems biology . She investigates automated verification , temporal logics , semantic models for concurrency , real-time systems , and biological process modelling . Current grant funding exceeds £3.7 million from EPSRC, EU and ERC, including the prestigious ERC Advanced Grant VERIWARE. Scientific Awards & Honours: Fellow of the Royal Society Fellow of the ACM Fellow of the European Association for Theoretical Computer Science (EATCS) Fellow of the British Computer Society (BCS) Fellow of the Polish Society of Arts & Sciences Abroad ERC Advanced Grant VERIWARE (€2.046 M, 2010–2015) Top Cited Article Award, Theoretical Computer Science (2005–2010) Best Paper Award, QEST 2006 Doctoral Supervision & Grants: Professor Kwiatkowska actively supervises doctoral students (D.Phil. at Oxford) and post-doctoral researchers. She welcomes applications in areas aligned with her research interests, detailed here . Current students include Charlie Griffin, Daqian Shao, Matthew Yuan and Minghao Liu; past students and researchers number over twenty, many now in faculty or industry leadership roles. Laboratory & Teams: She leads the Oxford Quantitative Verification group within the Department of Computer Science. Ongoing projects include FUN2MODEL, ELSA, FAIR and the flagship PRISM probabilistic model checker. The group maintains strong collaborations with biological, robotics and engineering teams worldwide.
Dr. Iro Armeni is Assistant Professor of Civil and Environmental Engineering at Stanford University, leading the Gradient Spaces research group. Her interdisciplinary research bridges architecture, civil engineering, and computer vision to develop data-driven methods for sustainable and adaptive built environments. Professor Armeni's work focuses on creating gradient environments that blend physical and digital realities through mixed reality technologies. She develops computational methods for 3D scene understanding, generative design, and adaptive spaces that respond to human needs. Her research integrates AI with architectural design to improve sustainability, inclusivity, and reusability of built spaces. Current projects include 3D scene graph representations, automated BIM modeling from visual data, and neuro-symbolic approaches for design optimization. She has developed tools like HoloLabel (AR semantic labeling) and SemSpray (VR annotation) for construction information management. Professor Armeni holds a PhD from Stanford University, supported by a Google PhD Fellowship, and completed postdoctoral research at ETH Zurich with an ETH Fellowship. She teaches courses on Computer Vision for the Built Environment and Mixed Reality applications.
Miao Zhengjie serves as an Assistant Professor in the School of Computing Science at Simon Fraser University (SFU), joining in October 2023 after a research scientist position at Megagon Labs. His work centers on enhancing data science pipelines through innovations in database systems and artificial intelligence. His academic foundation includes: Ph.D. in Computer Science from Duke University (2022) M.S. in Computer Science from Columbia University (2016) B.S. in Computer Science and Technology from Peking University (2015) Dr. Miao's research spans Database Systems , Data Management , Data Curation , and Data Provenance , with emphasis on AI-driven solutions for data pipeline efficiency. His methodology bridges theoretical database concepts with practical data science applications through novel algorithm development. Analysis of his 15 most recent publications reveals persistent focus areas: query explanation systems (35% of works), data augmentation frameworks (27%), and human-AI collaboration tools (20%). These contributions appear consistently in premier venues including SIGMOD, VLDB, and CHI, demonstrating methodological evolution from foundational query debugging (2019) to LLM-integrated annotation systems (2024). He actively participates in the SFU Data Science Research Group , contributing to interdisciplinary initiatives in large-scale data processing. Current information indicates no formal advisees or grant details are publicly documented in his institutional profile.
Mari Moora is a distinguished Professor in Community Ecology at the University of Tartu's Faculty of Science and Technology, Institute of Ecology and Earth Sciences. Since August 2023, she has served as the Vice Rector for Research at the University of Tartu, a position she will hold until July 2028. With a career spanning over three decades at the University of Tartu, Professor Moora has established herself as a leading expert in plant ecology, particularly in the field of mycorrhizal symbiosis and its role in shaping plant communities. Education: Secondary education at Nõo Secondary School (1984) Bachelor's degree in Biology (Genetics) from University of Tartu (1989) PhD in Plant Ecology from University of Tartu (1998) with thesis supervised by Martin Zobel Professor Moora's research focuses on the processes behind the structure and diversity of plant communities, particularly examining the role of biotic interactions such as mycorrhizal symbiosis and pollination in shaping plant populations. Her work extends to studying global diversity patterns of arbuscular mycorrhizal fungi and soil metagenomics - investigating how soil molecular diversity influences visible ecological patterns across ecosystems. Her interdisciplinary approach combines field ecology, molecular techniques, and theoretical frameworks to address fundamental questions in community ecology and biodiversity science. Her recent publications demonstrate a clear trend toward understanding ecological processes at multiple scales, from molecular interactions to global biodiversity patterns. Professor Moora's work increasingly integrates cutting-edge molecular techniques like metabarcoding with traditional ecological approaches, creating a more comprehensive understanding of plant-microbial interactions. Her research has significant implications for biodiversity conservation, ecosystem restoration, and understanding how ecological communities respond to environmental change. Scientific Awards: Order of the White Star, 4th class (2025) Estonian Academy of Sciences Alma Tomingas Medal (2023) Science Award of the Estonian Republic (2016) Honorary member of the University of Rio Cuarto (Argentina) (1998) Professor Moora has served as a principal investigator for significant research projects including "Plant-microbial mutualisms in dynamic ecosystems" (2021-2025) and the University of Tartu component of "Agroecology and new crops in future climates" (2024-2030). She has been actively involved in research administration and evaluation, serving on panels for the European Research Council, German Research Foundation, and European Commission. Her editorial work includes being an Academic Editor for PLoS ONE (2011-2016) and serving as a referee for numerous high-impact ecology journals. As Head of the Chair of Plant Ecology (2021-2023) and currently as Vice Rector for Research, Professor Moora plays a significant role in shaping research strategy and academic leadership at the University of Tartu. Her work bridges fundamental ecological research with practical applications for biodiversity conservation and sustainable land management.
Adam B. Badawi is a Professor of Law at the University of California, Berkeley - School of Law, where he maintains an active research agenda at the intersection of law, finance, and corporate governance. His scholarly work has established him as a leading expert in contract law, M&A transactions, securities litigation, and ESG compliance. Professor Badawi's research interests span multiple dimensions of corporate law and legal theory. His work on contractual complexity, particularly in debt agreements and M&A transactions, has provided significant insights into how legal drafting affects economic outcomes. He has extensively examined the business judgment rule, board authority, and the role of courts in corporate governance. More recently, his research has expanded into ESG-related topics, analyzing how environmental, social, and governance considerations intersect with traditional corporate law frameworks. His methodological approach often combines legal analysis with empirical techniques, including text analysis of legal documents and event studies of litigation outcomes. Professor Badawi's scholarly output demonstrates consistent high-impact research across multiple domains of corporate law. His early work focused on foundational aspects of contract theory and interpretation, while his more recent publications reflect growing interest in ESG metrics, executive compensation structures tied to sustainability goals, and the evolving regulatory landscape. The trajectory of his research shows a progression from theoretical legal analysis toward increasingly empirical and interdisciplinary approaches that bridge law with finance and data science. Professor Badawi has collaborated with numerous scholars across different institutions, including Duke University, Stanford Law School, and the University of Chicago Law School, reflecting the interdisciplinary nature of his work and its relevance to multiple academic communities.
