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Prof. Dr. Dr. Fabian Jintae Froese is a Chair Professor of Human Resource Management and Asian Business at the University of Goettingen (since 2012) and holds a Joint Appointment Professor position in International Business at Yonsei University (since 2019). Previously, he served as Assistant Professor at Korea University (2007-2012) and was a Visiting Professor at Keio University (2020-2021). His research focuses on international business, expatriate management, and cross-cultural organizational behavior. Ph.D. in International Studies/Sociology, Waseda University (2009) Dr. oec. in International Management, University of St. Gallen (2007) Diplom-Kaufmann in Business, University of Mannheim (2004) Froese's research explores global talent management challenges in Asian multinational enterprises, expatriate cultural intelligence , and knowledge transfer mechanisms in international contexts. His recent publications analyze the intersection of merit-based rewards with demographics and the impact of embeddedness fit on repatriation success. His work appears in leading journals such as Journal of International Business Studies and Human Resource Management Review . Key themes in his publications include expatriate management, knowledge transfer, cross-cultural adaptation, and HRM in MNCs. Editorial Roles: Editor-in-Chief of Asian Business & Management (since 2018), Associate Editor of International Journal of Human Resource Management (since 2019), etc. Professional Leadership: Chair of Academy of International Business Western Europe chapter (since 2019), President of Association of Japanese Business Studies (since 2019)

• International Business
• Human Resource Management
• Expatriate Management
• +3 more

Johan Driesen is a full Professor at KU Leuven's Faculty of Engineering Sciences, where he serves as Department Head of Electrical Energy Systems and Applications (ELECTA) and Director of the KU Leuven Institute for Energy and Society (KIEM). He also holds leadership positions at EnergyVille as Division Head and Subdivision Head. His work spans both academic and applied research in electrical energy systems. His research interests focus on renewable energy integration, power electronics, electrical drives, electric vehicles, and smart grids. Driesen's work particularly emphasizes distributed generation of electricity, with significant contributions to floating photovoltaics, offshore wind integration, and low-voltage DC systems. His research group actively investigates the optimization of grid integration for renewable energy sources and the development of advanced power electronic converters. Driesen's recent publications reveal a strong emphasis on practical applications of renewable energy systems, with particular focus on reliability analysis of low-voltage DC systems, optimization of PV-battery systems, and integration of electric vehicles with renewable energy sources. His work bridges theoretical analysis with real-world implementation challenges. Laureate prize of the Belgian Royal Society of Electrotechnics (KBVE/SRBE) 'Research and Development' for master theses 1996 2nd place in final round IEEE Region 8 Student Paper Contest 1997 in München, Germany Laureate biannual prize 'R.Sinave' of the Belgian Royal Society of Electrotechnics (KBVE/SRBE) for best PhDs 2002 Driesen has supervised numerous students and researchers, including J. Despeghel who completed work on residential PV-battery system optimization. His current research portfolio includes substantial projects such as Flux50 (working on the future energy system), solar and wind energy in the Belgian marine zone, and smart charging solutions that integrate e-mobility with renewable energy. He serves as promoter or co-promoter on multiple major research initiatives with funding extending through 2028. At EnergyVille, Driesen leads research teams working on cutting-edge energy solutions, with particular focus on DC systems, grid integration challenges, and the development of innovative power electronic solutions for renewable energy applications. His work has significant industrial relevance and practical implementation potential.

• Renewable Energy
• Power Electronics
• Electrical Drives
• +7 more

Thierry Foucault serves as HEC Foundation Chaired Professor of Finance at HEC Paris, where he conducts influential research at the intersection of financial markets and technology. His work focuses on the determinants of financial markets liquidity and informativeness, the industrial organization of markets, and their effects on the real economy. His primary research interests include Big Data applications in finance, artificial intelligence in trading technologies, over-the-counter (OTC) markets, and how stock markets influence corporate decisions regarding investment and product choices. Foucault's recent work has increasingly examined how technological advancements reshape traditional financial market structures and corporate behavior. Foucault's research portfolio demonstrates a clear progression toward understanding how data abundance and AI transform market dynamics. His publications span theoretical models, empirical investigations, and policy implications, with particular emphasis on how alternative data sources affect traditional expertise in fund management, how algorithmic approaches change market maker behavior, and how investor information horizons influence corporate investment decisions. European Research Council (ERC) Advanced Grant (2021) for a five-year research project on Big Data and AI in financial markets Co-managing editor of the Journal of Financial and Quantitative Analysis (JFQA) since September 1, 2021 As an academic leader, Foucault actively mentors PhD students and collaborates with researchers worldwide. His editorial position at JFQA places him at the forefront of scholarly discourse in quantitative finance. While specific grant details aren't provided in the text, his ERC Advanced Grant represents significant research funding supporting his work on technology's impact on financial markets and corporate investment.

• Financial Markets Liquidity
• Market Microstructure
• Big Data in Finance
• +5 more

Kiwan Maeng is an Assistant Professor in Computer Science and Engineering, focusing on the intersection of machine learning systems, privacy-preserving techniques, and low-latency computing architectures. His research emphasizes algorithm-system co-design for scalable and secure AI implementations. Research Trends : His recent work explores retrieval-augmented generation systems, low-latency diffusion models, privacy-preserving federated learning, and energy-harvesting intermittent computing frameworks. Publications highlight collaborations across machine learning, cryptography, and hardware-software co-design. Key Projects : He leads a 3-year NSF SaTC grant (2024-2027) addressing privacy-preserving data embedding for untrusted ML services, and contributes to serverless video analytics frameworks (SVDE) and VR streaming optimization (PIRATE). Technical Contributions : His scholarship spans 17 conference contributions and 3 journal articles since 2007, with notable work on memory encryption for edge devices, secure MPC-based inference, and sustainable AI systems. Current research focuses on balancing privacy guarantees with model utility while optimizing for environmental efficiency.

• Machine Learning
• Energy Harvesting
• Low Latency Systems
• +3 more

Guang Tian, Ph.D. , is an Assistant Professor of City and Metropolitan Planning at the University of Utah and a faculty member at the Scientific Computing and Imaging Institute . His research bridges land use-transportation planning , travel behavior , and urban data science , with a focus on sustainability , climate adaptation , and equitable transit-oriented development . He previously founded the Center for Equitable Transit-Oriented Communities at the University of New Orleans as an Associate Professor. Education : Ph.D. in City & Metropolitan Planning (University of Utah, 2016) Professional Affiliations : Faculty, Scientific Computing and Imaging Institute (2025–present) His research leverages machine learning and GIS to analyze VMT reduction , active transportation , and the built environment’s impact on mobility . Key findings include the superior performance of random forest models over traditional methods in predicting mode choice and the role of polycentric urban structures in reducing auto dependency. Scientific Awards : Rising Scholar Award (2024, Association of Collegiate Schools of Planning) Grants include funding from the US Department of Transportation for equitable transit communities and multiple Louisiana Transportation Research Center projects on VMT modeling, rail infrastructure, and truck parking efficiency. His teaching centers on GIS applications in urban planning and transportation analysis.

• Land Use and Transportation Planning
• Travel Behavior and Built Environment
• Sustainability and Climate Adaptation
• +5 more

Jae-Dong Chung is a Professor in the Department of Mechanical Engineering at Sejong University, where he has maintained an active research program since March 2001 with 278 total research outputs including 62 SCI(E) papers in the last five years. Education: Ph.D., Seoul National University, 1996 M.S., Seoul National University, 1992 B.S., Seoul National University, 1990 Research Focus: His work centers on thermal energy storage (latent/sensible/thermo-chemical systems) and heat-driven refrigeration (adsorption/desiccant technologies), extending into cutting-edge areas like nanofluid dynamics and fractional-order modeling. Current research integrates advanced computational methods with experimental thermal systems engineering. Publication Trends: Recent 2025 publications reveal concentrated efforts in electric vehicle thermal management (battery cooling optimization, desiccant heat pumps) and nanofluid applications, with significant emphasis on adsorption cooling efficiency and thermal radiation modeling in complex fluid systems. Professional Leadership: He serves as editor for two international journals and holds vice-presidential roles in academic societies (SAREK, KSME, KIPEC). Government advisory positions include MOLIT, City of Seoul, KECO, and KEMCO. Research Facility: The Thermal Engineer Lab (https://thermalengineerlab.wixsite.com/home) drives his experimental and computational research in thermal systems optimization.

• Thermal energy storage
• Heat-driven refrigeration
• Heat Transfer
• +6 more

Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.

• Spatial Choice Behavior
• Decision Support Systems
• Activity-Based Modeling
• +9 more

Jared Eutsler is an Associate Professor of Accounting in the Department of Accounting at the G. Brint Ryan College of Business, University of North Texas, where he has been a faculty member since 2016. He holds multiple professional certifications including CPA, CMA, CFM, and CFE, and brings industry experience from Ernst & Young and the PCAOB to his academic role. His educational qualifications are: Ph.D. in Business Administration-Accounting from the University of Central Florida Masters in Accountancy and Information Systems from Arizona State University Bachelors in Accountancy from Grand Canyon University Dr. Eutsler specializes in auditing research with core interests in audit regulation, fraud detection mechanisms, and professional skepticism dynamics. His scholarly work examines behavioral aspects of auditor judgment, regulatory impacts on audit quality, and fraud vulnerabilities across contexts including education systems and public health reporting. He has published in premier outlets such as Accounting Organizations and Society and Auditing: A Journal of Practice and Theory, demonstrating methodological diversity through experimental, archival, and case-based approaches. Analysis of his 15 most recent publications reveals consistent focus on auditor-client interactions and regulatory compliance, with growing emphasis on real-world applications. Recent work extends into emerging domains like equity crowdfunding decision-making and politicization of financial reporting data, while maintaining strong connections to foundational auditing principles. His research increasingly employs behavioral experiments to model professional skepticism threats and mitigation strategies in complex audit scenarios. Dr. Eutsler has been recognized with the G. Brint Ryan College of Business Teaching Innovation Award for his excellence in classroom instruction. His professional service includes significant public-sector engagement through the Audit & Finance committee for the City of Corinth and the Board of Directors for Denton County Transportation Authority, where he applies academic expertise to governmental financial oversight. No information on student advising or research grants was provided in the source material. No research labs or specialized teams are mentioned in the available documentation.

• Auditing
• Fraud
• Audit Regulation
• +1 more

Susan Helper is the Frank Tracy Carlton Professor of Economics at the Weatherhead School of Management , Case Western Reserve University . She also holds the title of Professor in the Department of Economics at the same institution. Beyond academia, she served as Chief Economist of the U.S. Department of Commerce (2013–2015) and as Senior Economist on the White House Council of Economic Advisers (2012–2013). She is a Research Associate at the National Bureau of Economic Research, Non-resident Senior Fellow at the Brookings Institution, and Co-Chair of the National Academy of Sciences. Education: PhD in Economics, Harvard University (1987) BA in Economics, Government, and Spanish, Oberlin College (1979) Research Focus: Susan Helper's research centers on the globalization of supply chains , manufacturing revitalization , and the interplay between technology, work systems, and policy . She explores how organizational structures, relational contracts, and digital transformation influence innovation, productivity, and job quality. Her work spans both theoretical and empirical studies, with a strong emphasis on policy implications for U.S. manufacturing competitiveness. Scientific Awards & Honors: Becker Friedman Fellow , University of Chicago (2018) Women of Achievement Award , Flora Stone Mather Center for Women, CWRU (2009) Professional Service & Impact: Helper has held influential roles such as Program Organizer for the Canadian Institute for Advanced Research (2019–2024), Editorial Review Board Member for the Strategic Management Journal (2008–present), and Member of the Bureau of Labor Statistics Technical Advisory Committee. Her advisory work bridges academic research and federal policy, shaping strategies for industrial innovation and workforce development.

• Supply Chain Economics
• Manufacturing Policy
• Innovation Management
• +5 more

Keigo Kobayashi is an Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, Department of Architecture. He has served in this position since 2016, previously holding the rank of Assistant Professor from 2012 to 2016. His professional journey includes significant experience at the Office for Metropolitan Architecture (OMA) in Rotterdam, where he worked as a Senior Architect and Project Architect from 2007 to 2012. His educational background includes a Master of Architecture II from Harvard University's Graduate School of Design (2005), a Master of Architecture from Waseda University's Graduate School of Science and Engineering (2003), and a Bachelor's degree in Architecture from Waseda University's School of Science and Engineering (2002). Kobayashi's research focuses on architectural planning and city planning, with particular interests in food-related architecture, spatial behavior, and sustainable design. His work explores the intersection of architecture with everyday life, examining how spatial configurations influence human behavior and community formation. Recent research has investigated food systems in urban contexts, playful approaches to spatial design, and the relationship between architectural form and environmental performance. His publications demonstrate a strong focus on practical applications of architectural theory, with projects spanning from food truck design in Shodoshima to zero-energy housing solutions and innovative approaches to architectural education. His work shows a consistent interest in how architecture can respond to contemporary social challenges while maintaining theoretical rigor. Excellence in Concrete Construction Award 2019, American Concrete Institute (ACI), Qatar National Library / OMA Kobayashi actively contributes to architectural education through various committee memberships, including serving as Chief of the Subcommittee on Strategies for International Compatibility in Architectural Education at the Architectural Institute of Japan and leading the Caberra Accord Correspondence Subcommittee at the Japan Accreditation Board for Engineering Education. His teaching portfolio at Waseda University is extensive, covering architectural design studios from undergraduate to doctoral levels. He leads several research initiatives, including the Wakusei Project in Tosa, Kochi, NPO PLAT (Platform for Architectural Thinking), and the European Thinkbelt/McDonald's Radio University project which represents an innovative approach to architectural education and community engagement, particularly in contexts of migration and cultural exchange.

• Architectural planning
• City planning
• Urban design
• +5 more

Professor John Shields is a distinguished academic in Human Resource Management and Organisational Studies at the University of Sydney’s Business School. He holds a BA(Hons) from ANU and a PhD from the University of Sydney. As Academic Director International, he oversees global strategies for the Business School’s international partnerships and recruitment. His roles have included Associate Dean (Programs), Deputy Dean, and Chair of the Faculty Board, reflecting his extensive leadership within the institution. In research, Shields focuses on performance management, reward systems, corporate governance, and international education. He co-authored seminal textbooks like *Managing Employee Performance and Reward* and *Human Resource Management: Strategy and Practice*. Current projects explore performance management transformation, pay secrecy disclosure, and gaming’s psychological impacts. His teaching spans undergraduate and postgraduate courses such as Strategic HRM and Global Leadership. Shields has supervised over a dozen PhD students, with topics ranging from Saudi Arabian workplace dynamics to corporate governance in Australian firms. Recognized with the 2008 Wayne Lonergan Teaching Award, he actively contributes to professional bodies like the Australian Human Resources Institute. Publications highlight his influence in HRM theory and practice, including studies on CEO remuneration, board capital, and pandemic-era worker resilience. His interdisciplinary work bridges organizational behavior, economics, and policy, positioning him as a key figure in contemporary HRM research.

• Human Resource Management
• Organisational Studies
• Performance Management
• +5 more

Yang You is a Presidential Young Professor at the National University of Singapore (NUS), affiliated with the Department of Computer Science under NUS Computing. He holds a PhD in Computer Science from UC Berkeley, advised by Prof. James Demmel. His research focuses on parallel/distributed algorithms, high-performance computing, and machine learning, particularly in scaling deep neural networks on distributed systems and supercomputers. Notably, his team achieved world records in ImageNet and BERT training speeds, with techniques adopted by tech giants like Google and NVIDIA. His optimizers (LARS/LAMB) are included in MLPerf benchmarks. Education - PhD in Computer Science, UC Berkeley - Outstanding Graduate of Tsinghua University (1st rank). Research Interests Yang You’s work spans machine learning system optimization, parallel computing, and distributed training infrastructure. He explores efficient algorithms for large-scale models, including techniques for reducing training time and improving scalability. His contributions emphasize practical implementations that bridge theory and industry applications, such as accelerating diffusion models and optimizing LLM inference. Awards & Honors Lotfi A. Zadeh Prize (2020) IPDPS 2015 Best Paper Award (0.8% acceptance) ICPP 2018 Best Paper Award (0.3% acceptance) ACM/IEEE George Michael HPC Fellowship Siebel Scholar (2020) Forbes 30 Under 30 Asia (2021) Advising & Labs He advises PhD students in cutting-edge research and leads the NUS AI Lab , focusing on advancing AI systems and high-performance computing. His lab collaborates with industry partners to deploy scalable machine learning solutions.

• Machine Learning
• High-Performance Computing
• Parallel/Distributed Systems
• +3 more

Aaron M. Dollar is the Frederick W. Beinecke Professor of Mechanical Engineering at Yale University, affiliated with the Yale Grab Lab. His research focuses on robotics, mechatronics, robotic grasping, and prosthetics, emphasizing adaptive mechanisms and human-robot interaction. He holds a PhD from Harvard University (2008) and degrees from UMass Amherst. Key research areas include dexterous manipulation, underactuated mechanisms, and assistive devices. His work bridges theory and practical applications, with contributions to prosthetic hands, robotic hands, and modular robotics systems. Recipient of prestigious awards: TR35 Innovator (2010), NSF CAREER Award (2010), DARPA Young Faculty Award (2013), and Air Force Young Investigator Award (2011). Developed the Yale MyoAdapt Hand, a single-actuator prosthetic with high functionality. Pioneered methods in real-to-sim transfer, modular lattice printing, and energy-aware robotic exploration. His lab, the Yale Grab Lab, explores robotics, prosthetics, and human motion analysis. Recent projects include autonomous calibration systems (ARC-Calib) and low-cost robotic hardware (RB5 Explorer).

• Robotics
• Mechatronics
• Robotic Grasping and Manipulation
• +5 more

Dr. Adegboyega Ojo is a Professor at the School of Public Policy and Administration (SPPA), Carleton University , holding the prestigious Canada Research Chair (Tier 1) in Governance and Artificial Intelligence since 2014. His work bridges digital government , AI governance , and smart city development , with a focus on public sector innovation and policy analytics . Research Interests Smart Cities and Urban Digital Infrastructure Open Government Data and Transparency Blockchain Applications in Public Administration AI Ethics and Algorithmic Governance Electronic Participation and Citizen Engagement Publication Trends : His research emphasizes interdisciplinary approaches to digital governance, often involving data-driven policy analysis , smart city frameworks , and open data platform design . Collaborations span institutions in Ireland, Poland, and the U.S., with citations exceeding 5,200. Scientific Awards : Canada Research Chair in Governance and AI (Tier 1) Labs & Teams : Collaborates with the Insight Centre for Data Analytics (Ireland), Delft University of Technology , and United Nations University on projects like OpenGovIntelligence and BOLD (Big and Open Linked Data).

• Digital Government
• Artificial Intelligence Governance
• Public Sector Innovation
• +6 more

Dr. Abdelhak Bentaleb is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University and founder/director of the IN2GM Lab. His research focuses on optimizing networked multimedia systems using machine learning, with emphasis on video streaming, edge computing, and 5G/6G networks. He holds a PhD from the National University of Singapore (awarded SIGMM and DASH-IF Best Thesis prizes) and completed a postdoctoral fellowship there. Education: PhD in Computer Science, National University of Singapore (2019) Postdoctoral Research Fellowship, National University of Singapore (2019-2022) Research Interests: AI-driven video streaming optimization, low-latency media delivery, network protocols, immersive media technologies, and IoT systems. Current projects explore end-to-end AI-enabled systems for QoE optimization in video delivery using reinforcement learning and deep learning techniques. Awards: SIGMM Award for Outstanding PhD Thesis DASH Industry Forum Best PhD Dissertation Award Multiple DASH-IF Excellence Awards His work includes over 50 publications in top venues (e.g., ACM MMSys, IEEE INFOCOM, USNIX NSDI) and 3 patents. The IN2GM Lab focuses on applied AI/ML solutions for networked systems challenges.

• Computer Networks
• Multimedia Systems
• Video Streaming Optimization
• +5 more