Lisa Hansson is a Professor of Community Planning at Molde University College, specializing in urban governance and transport policy. She is affiliated with the Logistics Department and actively contributes to sustainable mobility, socio-technical change, and multi-level governance research. PhD in Science and Technology Studies (2011), Linköping University MSc in Political Science/Public Administration (2005), Gothenburg University BA in Human Geography/Urban Planning (2003), Karlstad and Gothenburg Universities Her research focuses on sustainable transport systems, visual representation in planning, and policy adaptation. She leads externally funded projects like LEAD (Digital Twins for logistics) and SNAPSHOT (e-commerce transport), with partners including SINTEF and K2 Sweden. Her work bridges political science and transport governance, challenging economic-technical discourses. Recent articles analyze equity in 15-minute city planning, social justice in transport protests, and regulatory governance for autonomous vehicles. She chairs the WCTRS SIG G1 Transport Governance group and serves on the Thredbo Conference Committee. 2023: Co-authored Public Participation in Transport in Times of Change (Emerald) 2021: Chapter on Transport Policy and Governance (Elsevier) 2020: Editorial in Transportation Research Part A Lisa teaches MA/BA courses like Smart Mobility, European Transport Policy, and Future Cities. She supports Master’s and PhD research in sustainable urban development and transport policy.
David Vock is a Professor at the University of Minnesota in the Division of Biostatistics & Health Data Science . His research focuses on statistical methods for electronic health data, causal inference, dynamic treatment regimes, and clinical trial design. PhD in Statistics, North Carolina State University (2012) MStat in Statistics, North Carolina State University (2009) BA in Mathematics and Chemistry, St. Olaf College (2007) His work integrates machine learning with traditional statistical approaches to analyze censored data in healthcare settings. He specializes in SMART clinical trials for adaptive interventions and semiparametric theory applications. Collaborative projects span transplantation , infectious disease , and cardiovascular research . Recent publications emphasize COVID-19 biomarker analysis , monoclonal antibody efficacy , and health data interoperability . These studies appear in high-impact journals like New England Journal of Medicine and Lancet Microbe . Scientific contributions have earned him membership in the Delta Omega Honorary Society in Public Health . Collaborations include the ACTIV-3/TICO Study Group and interdisciplinary teams in data science and clinical research .
Prof. Dr. Robert Risse is an esteemed academic and practitioner in tax law, currently serving at the Institute for Austrian and International Tax Law at Vienna University of Economics and Business since 2020. Previously, he held the position of Corporate Vice President Tax & Trade at Henkel AG & Co KGaA from 2000 to 2020, where he was globally responsible for taxation and customs. He also holds the title of Honorary Professor for Tax Compliance and Applied Tax Planning at the Institute for Business Taxation, University of Leipzig. His extensive career bridges academic excellence with practical corporate tax leadership. Education 2017: Chairman of the Board of Directors for the Transfer Pricing Center of the Institute for International and Austrian Tax Law, Vienna University of Economics and Business 2014: Doctoral Thesis "Tax Compliance und Tax Risk Management: Eine rechtsvergleichende Analyse und Umsetzung in einem internationalen Konzern" at University of Freiburg 1986-1989: Second State Examination in Law, University of Bonn 1983-1986: First State Examination in Law, University of Bonn 1979-1982: Diplom Finanzwirt FH in Financial Sciences, University of Applied Sciences for Finances North Rhine-Westphalia Research Interests Prof. Risse's research focuses on the intersection of tax compliance, digitalization, and international tax systems. His work explores how digital technologies can transform tax compliance processes, particularly in multinational corporations. He has pioneered research on Tax Compliance Systems, Transfer Pricing in the digital age, and the integration of tax risk management with corporate governance frameworks. His expertise spans international tax law, corporate taxation, and the practical implementation of tax strategies in global business environments. His recent work emphasizes the practical implementation of digital tax systems, with particular attention to blockchain applications, AI in tax compliance, and the integration of tax processes with broader business systems. He has developed frameworks for assessing tax risk in multinational corporations and has contributed significantly to the understanding of transfer pricing in the context of digital business models. Publication Trends Prof. Risse's recent publications reveal a strong focus on digital transformation in tax systems, with increasing attention to practical implementation challenges. His work consistently bridges theoretical tax principles with real-world corporate applications, particularly in multinational contexts. The emergence of topics like AI in tax administration, blockchain applications, and digital compliance systems reflects his forward-looking approach. His research shows a clear trajectory from traditional tax compliance toward integrated digital tax ecosystems that address both regulatory requirements and business efficiency needs. Professional Engagement President of Gesprächskreis Rhein-Ruhr, Internationales Steuerecht e.V./International Fiscal Association (IFA) West Member of DIHK Finanz- und Steuerausschuss, Berlin Member of Düsseldorfer Vereinigung für Steuerrecht e.V Member of Fachinstitut der Steuerberater e.V., Düsseldorf Member of Institut Finanzen und Steuern, Berlin Teaching and Advisory Roles Prof. Risse has extensive teaching experience across multiple institutions including University of Leipzig, Vienna University of Economics and Business, University of Freiburg, University of Cologne, and WHU – Otto Beisheim School of Management. He has supervised doctoral students through the "Doktorandenseminar zur Betriebswirtschaftlichen Steuerlehre" at University of Leipzig. His teaching focuses on international taxation, corporate tax law, and the practical application of tax planning in multinational corporations.
Steven O. Kimbrough is a Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research spans artificial intelligence, computational rationality, and strategic optimization with applications to political science, economics, and service innovation. He teaches courses like Agents, Games, and Evolution and Thinking With Models , focusing on experimental approaches to bounded rationality and uncertainty in decision-making. Primary Email: kimbrough@wharton.upenn.edu Office: 3730 Walnut Street, 565 Jon M. Huntsman Hall, Philadelphia, PA 19104 His research interests include: Artificial intelligence and metaheuristics for constrained optimization Evolutionary computation in electoral redistricting Agent-based modeling of market dynamics Logic modeling for normative reasoning Text mining applications in event analysis Publications demonstrate expertise in computational economics, political modeling, and service analytics. Recent work focuses on: Empirical validation of electoral compactness Strategic learning in oligopolies Multi-objective matching algorithms Feasible-infeasible solution spaces Service network optimization Teaching emphasizes: Game-theoretic approaches to strategic behavior Modeling life-cycle for energy sustainability Computational experiments in social science
Selçuk Karabatı is a Professor of Operations Management at the College of Administrative Sciences and Economics, Koç University (Turkey). His research spans retail operations, sustainable supply chains, and production systems optimization. He holds a PhD from the University of Texas at Austin and has previously taught graduate courses in Service Operations Management , Operations Strategy , and Sustainable Operations Management at Koç University. Education : PhD (University of Texas at Austin), MS (University of Southern California), BS (Boğaziçi University) Editorial Roles : Senior/Associate Editor at Production and Operations Management and IIE Transactions His research focuses on Supply Chain Management , Retail Operations , and Sustainable Operations , with applications in inventory control, pricing strategies, and production planning. Recent and historical publications reveal expertise in optimization frameworks , dynamic pricing , portfolio rebalancing , and retail analytics . While no explicit scientific awards are listed in the provided text, his work has consistently addressed challenges in inventory substitution, auction mechanisms, and logistics coordination.
Stefano Bracco is an Associate Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa, Italy, serving on both the Department Board and the School Council of the Polytechnic School. He teaches advanced courses including Energy Transition and Power Systems Management for Master's programs in Energy Engineering, Management for Energy and Environmental Transition (MEET), and Engineering for Natural Risk Management, covering critical topics in sustainable power systems and infrastructure modeling. His research focuses on power systems engineering with emphasis on microgrid optimization, renewable energy integration, and electric vehicle infrastructure. Key contributions include energy management systems (EMS) for active/reactive power control in microgrids, vehicle-to-grid/home technologies, and sustainable energy community design. His work addresses grid stability challenges, economic optimization of distributed energy resources, and resilience enhancement in critical facilities through advanced mathematical modeling and real-world case studies. Analysis of his 15 most recent publications (2024-2025) reveals consistent application of mixed-integer linear programming (MILP) for microgrid optimization across diverse contexts including university campuses, industrial sites, and Italian municipalities. Dominant trends include integration of electric vehicle charging infrastructure with renewables, uncertainty handling in renewable communities, and multi-scale control frameworks for automated transportation. His research bridges theoretical optimization with practical implementation, frequently using the Savona University Campus as a living laboratory for sustainable energy solutions. No scientific awards were mentioned in the provided information. The available text did not specify any advised students or research grants, though his extensive publication record suggests active research supervision and project leadership. While no dedicated laboratories are explicitly attributed to him, his work frequently involves the Savona University Campus infrastructure, including the CN MOST Laboratory and microgrid test facilities, indicating collaboration with existing university energy research platforms.
Modhurima Dey Amin is an Assistant Professor at Texas Tech University's Department of Agricultural and Applied Economics within the College of Agricultural Sciences & Natural Resources. Her work bridges econometric methodologies with contemporary issues in food and agricultural markets, emphasizing precision agriculture, energy economics, and industrial organization. PhD in Economics (Econometrics & Quantitative Economics) – Washington State University MSc in Statistics – Washington State University MSc in Applied Financial Economics – Illinois State University BSc in Economics – University of Dhaka, Bangladesh Dr. Amin's research explores: Food safety in retail environments and equitable access to nutritious food Market structures of specialty crops, particularly apple varieties Structural change detection in high-dimensional datasets using statistical methods Machine learning applications in agricultural and environmental economics Key trends in her publications include: Machine learning for causal inference and predictive modeling in agricultural economics Food retail dynamics, including store closures and consumer behavior Environmental economics and sustainable agricultural practices Precision agriculture and technology-driven farm management Her teaching focuses on: Econometrics Agribusiness Finance Corporate Finance Economic theory and policy analysis Contact: modhurima.amin@ttu.edu | Personal Website
Jean-Marie Bonnin is a Researcher at IMT Atlantique , affiliated with the Network Systems, Cyber Security and Digital Law department. His work spans autonomous industrial vehicles, vehicular networks, and cooperative systems, with a focus on energy management, task allocation, and safety protocols. IMT Atlantique, Rennes Campus Research in Industry 4.0 and Smart Mobility Research Interests : Autonomous Industrial Vehicle Fleets Fuzzy Logic for Multi-Agent Systems V2X Communication Protocols Scientific Contributions include: Modeling energy consumption in extreme-edge IoT nodes Decentralized task allocation for autonomous vehicles Collision avoidance in industrial environments
Milica Popović Stijačić is an Assistant Professor at the Faculty of Media and Communications (Singidunum University), specializing in cognitive psychology, psycholinguistics, and experimental methodology. She earned her degrees in psychology (University of Novi Sad) and applied statistics (University of Novi Sad), with a doctoral thesis titled The influence of perceptual information in word processing - the perspective of embodied cognition . Graduate and Master's in Psychology, University of Novi Sad Master's in Applied Statistics, University of Novi Sad PhD in Cognitive Psychology, University of Novi Sad Her research focuses on perceptual richness in semantic processing, embodied cognition, and statistical modeling of cognitive tasks. She leads a student research group at the FMK Lab, collaborating on projects related to cognitive psychology presented at domestic and international conferences. Key publications include studies on attribute framing effects (2024), emotional word processing during the pandemic (2023), and perceptual influences on memory recall (2022). Recent collaborative work explores AI applications in sustainable fashion (2022) and socioeconomic impacts on preschool intelligence (2020). She contributes to methodological advancements through comparative statistical approaches (2018) and investigates multisensory learning mechanisms (2015). Current collaborations include projects on sensorimotor deficits in psychosis/dementia (University of Zagreb, since 2021) and research on fundamental psychic processes (Ministry of Serbia-funded, 2018-2020). Teaching responsibilities include courses on lower/higher cognitive processes, contemporary psychological research, and scientific methodology.
Prof. Dr. Kumru Didem Atalay is a distinguished academic at Başkent University, specializing in Industrial Engineering . With a PhD in Statistics from Ankara University (2007), she has made significant contributions to Operations Research , Fuzzy Logic , and Decision Support Systems . Her work bridges statistical analysis with real-world applications in healthcare logistics, pandemic response, and manufacturing optimization. Education: PhD (2007), MS (2000), BS (1998) in Statistics from Ankara University Current Role: Professor in Industrial Engineering at Başkent University Her research focuses on stochastic processes , fuzzy modeling , and healthcare operations , particularly in pandemic-era service quality and microchannel manufacturing. She has developed innovative methods for project scheduling , risk analysis , and multi-criteria decision-making . Recent publications examine Covid-19's impact on education quality and fuzzy linear programming for project scheduling . She applies intuitionistic fuzzy models to optimize manufacturing systems and hesitant fuzzy regression for pandemic death count estimation. Scientific recognition includes a Runner-up Prize at the 15th ICMSEM (2021) and a Bronze Medal at ISIF21 (1970). She supervises advanced research on topics like multi-trip home healthcare routing and fuzzy quality function deployment .
Timo Seppälä is a University Lecturer in Digital Operations at Aalto University's School of Science, Department of Industrial Engineering and Management. His research focuses on global value chains, supply chain management, and digital technology implementations in technology- and service-based businesses. He explores platformization of supply chains, collaborative innovation management for complex digital ecosystems, and the implications of artificial intelligence platforms across industries. Global Value Chains Digital Platforms & Ecosystems Artificial Intelligence Governance Blockchain Applications in Industry Recent publications highlight trends in AI diffusion monitoring, blockchain-based systems for industrial applications, and sustainability challenges in digital economies. His work spans empirical analysis of corporate digitalization, platform governance, and multi-actor value creation. No scientific awards are currently documented.
Dr. Michelle Ghert is a Professor in the Department of Orthopaedics at the University of Maryland School of Medicine , with a distinguished career in orthopaedic oncology . She completed her residency at Duke University and fellowship at University of Toronto , and previously held academic appointments at McMaster University from 2005–2017 before joining Maryland in 2024. Education : B.A.S. from Stanford University (1992), MD from Vanderbilt University (1996) Leadership : Principal investigator in international trials like PARITY and SAFETY , shaping sarcoma care standards Her research focuses on musculoskeletal tumor management and complex limb reconstruction , with expertise in randomized controlled trials for surgical and oncology protocols. She has received prestigious awards including the 2023 Kappa Delta Ann Doner Vaughan Award and 2019 J. Édouard Samson Award , and holds active grants from NIH , DOD , and the Canadian Cancer Society .
Dr. Sönke Knoch is a researcher affiliated with the Ubiquitous Media Technology Lab (UMTL) at the Saarland Informatics Campus and the German Research Center for Artificial Intelligence (DFKI) GmbH . His work focuses on Human-Computer Interaction , Activity Recognition , Process Mining , and Industry 4.0 technologies. Current Affiliation: DFKI GmbH (Saarland Informatics Campus) Academic Role: Researcher Research Interests span digital twins, augmented reality in manufacturing, and safety-critical systems. He leads projects like RZzKI (AI and Digital Transformation) and BaSySafe (risk assessment via management shells). His work addresses zero-defect manufacturing and cognitive support for impaired workers . Recent Publications focus on digital twins for industrial safety, AR-based task adaptation , and AI quality management in smart factories. Key themes include human-centric AI , real-time process conformance , and context-aware systems . Leadership includes contributing to the WALL-ET project for autonomous logistics and co-developing the PARTAS system for cognitively impaired workers.
Professor Bill Watson is a Full Professor of Cancer Biology at the University College Dublin, School of Medicine , where he serves as Head of Pathology and Director of the Biomedical Health and Life Science BSc program. With a PhD in Biochemistry (University College Cork, 1995) and post-doctoral training at the University of Toronto, he has led translational research in prostate cancer since returning to UCD in 1997. His work focuses on biomarker discovery, therapy resistance mechanisms, and clinical decision tools through the Prostate Cancer Research Consortium and iPROSPECT collaborations. Education: BSc (University College Dublin), PhD (Royal College of Surgeons in Ireland), Post-Doctoral Research Fellow (Toronto General Hospital) His research integrates genomic, epigenetic, and proteomic biomarkers to improve prostate cancer stratification and treatment selection, as demonstrated in the Movember Global Action Plan and ToPCaP initiatives. Recent studies include validating a six-gene MCRS signature for biopsy-based prognostics (2025) and developing beta mixture models for DNA methylation analysis (2024). Scientific Awards include the Alton Prize (2000), Presidents Awards for Teaching (2000, 1998), and Young Investigator Award (1995). He has received grants such as the UCD Equip Scheme (2021) and Molecular Therapeutics for Cancer (2009-2015) . Professional Leadership: Irish Association for Cancer Research (President 2014-2017), Cancer Trials Ireland (Chair of Translational DSSG 2014-present), and Royal Academy of Medicine in Ireland (Fellow since 2006)
Luis Miguel Bergasa is a Full Professor at the Department of Electronics, University of Alcalá (UAH), with a career spanning over 25 years. He leads the RobeSafe Lab (since 2010) and serves as Director of Digital Transformation at UAH (since 2022). His academic roles include heading the Department of Electronics (2004–2010) and coordinating multiple educational programs. He teaches Perception Systems (Master in Industrial Engineering) Intelligent Control Systems (Computer Science) Computer Vision (Computer Science) His research focuses on Perception Systems for Intelligent Vehicles , emphasizing driver behavior analysis, scene understanding, and sensor fusion via deep learning. He has authored over 300 papers and holds 9 patents. Notable recognitions include being ranked #81 in Computer Science (Spain) by Research.com (2025) and receiving 30+ awards in Robotics/Automotive fields. Recent publications highlight advancements in Transformer-based driver action recognition (2025) Infrastructure-vehicle cooperative frameworks (2025) 3D semantic segmentation for autonomous perception (2024) Simulation-to-reality gap bridging (2024) Scientific Leadership Senior Editor, IEEE Transactions on ITS (2025) International Program Committee roles in 15+ conferences (2024–2025) Co-founder of Vision Safety Technologies Ltd (2009–2016) He supervises 9 active PhD students and has advised 14 former PhD candidates. His group collaborates with institutions in Germany, USA, China, and Spain, including KIT, UC Berkeley, and Northwestern Polytechnic University.
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