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Heike SchinnenburgView profile

Professor

• Human Resource Management
• Organizational Behavior
• Change Management
• +4 more

Prof. Dr. Heike Schinnenburg is a Professor of Business Administration with a focus on Human Resource Management at the Faculty of Economics and Social Sciences, Osnabrück University of Applied Sciences. She directs the Master's program in Business Management and specializes in talent management, international HRM, career research, and change management. Her research explores AI's impact on jobs, gender dynamics in careers, and organizational resilience in global contexts. She holds a PhD from Leibniz University Hannover and has extensive industry experience as a consultant and HR director. Her academic career includes guest professorships at Shanghai University of International Business and Economy. Key research projects include inclusive education's impact on workforce development and cultural factors in change management. Her publications span over 50 articles in journals like Employee Relations and Personalquarterly , addressing topics such as frontline work challenges, virtual leadership, and global talent strategies. She frequently presents at international conferences and collaborates on EU-funded research initiatives.

Jan E. ChristopherView profile

Associate Professor

• Data Analytics
• Financial Economics
• Political Economy
• +3 more

Dr. Jan E. Christopher is an Associate Professor of Economics in the Department of Accounting, Economics and Finance at the College of Business , Delaware State University. With over 25 years of experience as a staff analyst, economic analyst, and market specialist in finance, urban economics, statistics, and public policy, she has held leadership roles including Department Chair and Acting Chair. She has secured multiple federal grants and served as a Distinguished Visiting Professor at the U.S. Air Force Academy and U.S. Coast Guard Academy. Ph.D. in Economics (Urban Economics), Howard University (1993) MBA in Business Administration, University of Oklahoma (1984) MA in Political Science (Public Policy), University of Rochester (1982) BA in Economics, Hampton University (1980) Dr. Christopher’s research spans Data Analytics, Financial Economics, Political Economy, Public Sector Economics, Transportation and Defense, and Urban Economics . Her work explores regional economic disparities, poverty dynamics, public health economics, and financial market mechanisms. Publications highlight trends in Medicaid healthcare access, income inequality metrics, and fiscal policy impacts, with a focus on Texas and Washington, D.C. datasets. Her scientific contributions have been recognized with the American Economic Association/Federal Reserve Dissertation Fellowship and Delaware State University Professional Development Awards . She received a U.S. Department of Homeland Security pin for service at the Coast Guard Academy and multiple Merit Compensation Pay Increases during her early academic career. Dr. Christopher has managed federal grants from the U.S. Department of Transportation-Federal Highway Administration and Ford Foundation. She directed the Delaware State University Summer Transportation Institute and served as Fixed-Income Market Specialist for the U.S. Department of Treasury. As a FINRA Arbitrator , she has mediated financial disputes, and held leadership roles in academic governance, including DSU Faculty Senate Finance Committee and AACSB Strategic Planning Committee.

Chris LeeView profile

Professor

• Transportation Engineering
• Traffic Safety
• Driver Behavior Analysis
• +5 more

Professor Chris Lee is a faculty member in the Department of Transportation Science and Engineering at the University of Windsor's Faculty of Engineering. His research focuses on advancing transportation safety through the analysis of driver behavior, traffic flow dynamics, and the integration of emerging technologies like autonomous vehicles and machine learning. Key areas include collision risk prediction, driver vigilance assessment, and the development of advanced car-following models. He has contributed to initiatives such as the Transportation Science and Engineering scholarship program, supporting student research in innovative technologies like driving simulators for lane change behavior studies. His work bridges engineering and human factors, addressing challenges such as driver response to autonomous systems, heavy vehicle traffic management, and cross-cultural automotive design. Lee's interdisciplinary approach leverages data analytics, physiological signals, and machine learning to solve real-world transportation problems. His research has implications for policy-making, infrastructure design, and vehicle safety standards. Lee has collaborated extensively on projects analyzing crash precursors, variable speed limits, and the impact of ITS (Intelligent Transportation Systems) on safety. His publications span over two decades, demonstrating a commitment to both academic rigor and practical applications in transportation engineering. Notable contributions include refining car-following models, studying driver aggression, and evaluating the effectiveness of traffic management strategies.

Laura A RiceView profile

Associate Professor

• Mobility Assistance Technologies
• Gerontology
• Neurological Disorders
• +3 more

Laura A Rice is an Associate Professor in the Department of Kinesiology and Community Health at the University of Illinois. She also serves as Associate Head for Graduate Studies and Associate Director of the Center on Health, Aging, and Disability (CHAD) within the College of Applied Health Sciences. Additionally, she holds affiliations with Disability Resources and Educational Services (DRES), the Beckman Institute for Advanced Science and Technology, and the Interdisciplinary Health Sciences Institute. Her research focuses on mobility device users, particularly wheelchair and scooter users, examining fall prevention, functional independence, and quality of life. Key areas include developing clinical assessment tools (e.g., the Fall Concerns Scale for Wheelchair/Scooter Users), investigating behavioral interventions via mHealth applications, and analyzing risk factors for falls among individuals with spinal cord injury and multiple sclerosis. Recent work emphasizes interdisciplinary collaboration, with studies on attentional demands during wheelchair operation, fire preparedness strategies, and the design of inclusive assistive technologies. Her research has been widely covered in media, including studies on fear of falling and fall-related injuries among wheelchair/scooter users. Rice’s contributions extend to academic leadership, including graduate program oversight and disability resource advocacy. She collaborates globally and has published over 90 peer-reviewed articles, systematically reviewing topics like mHealth strategies and seated postural control assessments. Lab and team affiliations include the Center on Health, Aging, and Disability (CHAD), where she leads projects addressing aging and disability intersections, and the Beckman Institute, focusing on advanced science and technology applications in health.

Youngchul RaView profile

Associate Professor

• Combustion Modeling
• Computational Fluid Dynamics (CFD)
• Internal Combustion Engines
• +4 more

Dr. Youngchul Ra is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. He holds a PhD from MIT (1999) and degrees from Seoul National University. His expertise includes computational fluid dynamics (CFD), combustion modeling, chemical kinetics, and alternative fuel research. His work focuses on advanced combustion strategies like Gasoline Compression Ignition (GCI), engine CFD code development, and high-performance computing. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (1999) Masters and Bachelors in Mechanical Engineering, Seoul National University Research Interests: Developing multi-component fuel models for real-world applications Optimizing six-stroke GCI engines with advanced valve technologies Reducing emissions via combustion control and injection strategies Parallel computing techniques for large-scale engine simulations Recent work emphasizes oxygenated fuels in GCI engines and parametric studies of combustion efficiency. His CFD models are validated against experimental data for accuracy. His research has led to advancements in low-temperature combustion and emission reduction without explicit awards listed. He collaborates on engine design optimization and fuel formulation projects.

Marie Josee LamotheView profile

Professor

• Retail Management
• Digital Transformation
• Marketing
• +5 more

Marie Josee Lamothe is a **Professor of Practice** at McGill University within the **Desautels Faculty of Management** and **Bensadoun School of Retail Management**, and serves as **Academic & Executive Director** of the **McGill Dobson Centre for Entrepreneurship**. With over 25 years in digital and consumer products leadership roles at Google, L’Oréal, and Procter & Gamble, she specializes in Digital Transformation, Global Branding, and Retail Innovation. She holds board positions at Alimentation Couche-Tard, RioCan REIT, and Group Dynamite, and advises startups through Tandem International. **Education**: B.Sc. (Mathematics & Economics, Honors), University of Montreal; Executive Management Program (INSEAD); Certifications: MIT Sloan (AI Strategy), Oxford (Cybersecurity), NASBA (Cybersecurity Risks), and the GCB.D (ESG) designation. **Research & Teaching**: Focuses on sustainable retail practices, ESG principles in entrepreneurship, and leveraging technology for operational efficiency. Courses include *Foundations of Retailing*, *Environmental Social Governance & Entrepreneurship*, and *Sustainable Retail and Entrepreneurship*. **Awards**: Recognized as a global leader with distinctions such as the Triple E Award, Desautels Achievement Award, and inclusion in *Canada’s 40 Global Leaders*. Her leadership extends to government advisory roles, including the Quebec Advisory Council on Economy & Innovation and the Canada 150 Research Chairs Review Panel. **Advisory & Impact**: Oversees the Dobson Centre’s mission to transform university innovation into startups. Engages with public sector audits (e.g., Employment and Social Development Canada) and chairs the McGill Healthy Brain Healthy Life Foundation Board.

• Marketing Strategy
• Product Development
• Innovation Management
• +5 more

Sumitro Banerjee is an Associate Professor of Marketing at Grenoble Ecole de Management (GEM), where he teaches strategic and international marketing, digital marketing, brand management, and product development. Previously, he held positions at ESMT Berlin and Syracuse University. He holds a PhD and MSc from INSEAD, an MBA from IIFT, and a Bachelor of Technology in Mining Machinery from IIT-ISM Dhanbad. His research focuses on new product development, innovation diffusion, market entry strategies, and salesforce incentives, employing microeconomic and game theory frameworks. He has published in journals like Production and Operations Management and serves on the editorial board of International Journal of Research in Marketing , where he received an award for editorial excellence in 2023. Before academia, he worked in international trade at Tata Steel and as an engineer at Jessop & Company. His executive education programs have served Fortune 500 clients, and he consults for organizations globally.

Tom ZickView profile

Research Fellow

• AI Governance
• Privacy
• Generative AI
• +4 more

Tom Zick serves as Director of Responsible AI at Charles Schwab and holds an academic affiliation as a Research Fellow at Harvard University's Berkman Klein Center for Internet & Society. Her work bridges technical AI development and legal frameworks, focusing on governance mechanisms for emerging technologies. She has advised organizations from startups to Fortune 500 companies while collaborating with frontier AI labs and public institutions like the City of Boston on AI deployment and data governance initiatives. Her educational foundation includes a JD from Harvard Law School and a PhD in Astrophysics from UC Berkeley, providing interdisciplinary expertise critical to her research. This dual background enables rigorous analysis of complex technology-policy intersections. Zick's research centers on creating accountable AI systems through technical oversight frameworks and regulatory compliance strategies. She investigates generative AI's societal impacts, reinforcement learning risks, and privacy-preserving identity solutions like personhood credentials. Her work emphasizes red teaming, model alignment, and global regulatory harmonization, addressing both immediate implementation challenges and long-term existential risks through law-technology integration. Analysis of her publication trajectory reveals escalating focus on governance scalability as AI capabilities advance. Early work examined foundational risks in reinforcement learning, while recent publications address generative AI's disruption of education systems and the urgent need for cross-jurisdictional regulatory frameworks. Her taxonomy development for AI regulation demonstrates systematic approaches to navigating fragmented global policy landscapes. As an advisor, Zick has guided corporate and municipal entities through AI implementation challenges, notably helping Boston operationalize data governance frameworks. Her Berkman Klein fellowship involved direct collaboration with major AI labs on alignment research and red teaming exercises. She contributes to industry-wide initiatives including Twitter's decentralized social media project (bluesky), focusing on protocol-level solutions for content integrity. Zick's collaborative ecosystem spans frontier AI companies, academic researchers, and public sector innovators. Her current work with the City of Boston demonstrates practical governance implementation, while ongoing personhood credentials research addresses AI-generated content verification challenges. These partnerships reflect her commitment to translating theoretical frameworks into operational systems across multiple sectors.

Gyeong HwangView profile

Professor

• Multiscale modeling
• Nanomaterials synthesis
• Energy storage systems
• +4 more

Gyeong Hwang is a Matthew Van Winkle Regents Professor of Chemical Engineering at The University of Texas at Austin. He leads the Hwang Research Group focused on computational materials discovery and design for energy and electronic applications. His work emphasizes multiscale modeling of nanostructured materials, with applications in energy storage/conversion, carbon capture, and semiconductor processing. Educational Qualifications: Ph.D., Chemical Engineering, California Institute of Technology (1999) M.S., Applied Physics, California Institute of Technology (1998) M.S., Chemical Engineering, Seoul National University (1993) B.S., Chemical Engineering, Seoul National University (1991) Research Interests: Hwang's research integrates first-principles modeling with experimental validation to address challenges in: - Surface chemistry and interfacial reactions - Nanostructured materials synthesis - Electrochemical device fabrication - CO₂ capture mechanisms His group develops computational tools for predicting material behaviors at atomic and continuum scales. Recent Publications Trends: Publications (2023-2025) focus on: - Solid-state battery interfaces - Plasma-enhanced material deposition - Ionic liquid interactions - Thermal/spatial transport phenomena - Electrochemical reaction mechanisms Awards: NSF CAREER Award (2005) Electrochemical Society's F.M. Becket Memorial Award (1999) Korean Chemical Engineering Service Award (2010) Advising & Grants: Leads interdisciplinary research funded by NSF, industry partnerships, and regents' endowments. Active in graduate student training through courses like ChE 379 (Molecular Simulation) and ChE 348 (Numerical Methods). Labs/Teams: The Hwang Research Group operates state-of-the-art computational facilities for quantum mechanics simulations and multiscale modeling. Collaborates with experimental groups globally on materials prototyping.

• Artificial Intelligence
• Biomedical Informatics
• Machine Learning
• +5 more

Mehmet Eren Ahsen is an Assistant Professor at the University of Illinois at Urbana-Champaign, holding dual appointments in Business Administration and Biomedical and Translational Sciences . He is also the Deloitte Scholar in Accountancy and an affiliate at the Carl R. Woese Institute for Genomic Biology. His research bridges artificial intelligence, healthcare analytics, and biomedical informatics, focusing on applications in medical decision-making, disease diagnosis, and drug development. Key research interests include: AI-driven healthcare workflows, particularly in mammography screening and radiology Machine learning for biomarker discovery and genomic analysis Economics of AI adoption in clinical settings Unsupervised ensemble learning for biomedical problems His work has been recognized by the CHITA Young Researcher Award (2024) . Notable collaborations involve interdisciplinary teams addressing challenges in cancer genomics, supply chain resilience, and pandemic response. Recent studies highlight: Economic impact of AI-human task sharing in mammography Optimizing screening mammography recall strategies Analysis of social media's role in pandemic information dissemination Development of ensemble models for disease prediction Dr. Ahsen's research also explores: Extracellular vesicle RNA signatures for early cancer detection Correlated drug action models for combination therapies Algorithmic fairness in healthcare AI systems His lab integrates computational methods with clinical and genomic data to advance precision medicine and healthcare efficiency.

• Data Mining for Business
• Data Visualization
• Large-Scale Experimental Design
• +3 more

Ben Collier is an Assistant Teaching Professor of Business Analytics at the Tepper School of Business , Carnegie Mellon University. He holds a PhD in Information Systems and Organizational Behavior from Carnegie Mellon and has extensive experience in data science leadership roles in industry. PhD, Information Systems and Organizational Behavior (2012), Carnegie Mellon University MS, Information Systems and Organizational Behavior (2009), Carnegie Mellon University MBA, Information Systems (2007), University of Wisconsin-Madison BBA, Management Computer Systems and Mathematics (2004), University of Wisconsin-Whitewater His research focuses on data mining for business , data visualization , and large-scale experimental design , with applications in healthcare analytics, online community dynamics, and gender equity in technology. His recent work includes monetization data science for Duolingo's $6.5 billion IPO and developing UPMC's CognitiveRx analytics engine. Ben's publications span topics including gender gaps in Wikipedia , leadership in open collaboration communities , and conflict resolution in crowdsourced platforms . He has served on CMU committees for curriculum review and summer summit planning, and actively advises MSBA capstone projects.

Rebecca MeisenbachView profile

Associate Professor

• Organizational Communication
• Stigma Management
• Identity Negotiation
• +2 more

Rebecca Meisenbach is an Associate Professor in the Department of Communication at the University of Missouri's College of Arts and Science. Her research focuses on issues of marginalized identity and ethics in organizational life, particularly stigma as an intersectional communication process operating at individual and organizational levels. She developed the theory of Stigma Management Communication and has researched identity negotiations among diverse groups including higher education fund-raisers and female breadwinners. Her research interests include Identity Negotiation, Organizational Ethics, Stigma Management, and Strategic Communication, with focus areas in Health and Crisis Communication, Identity, Diversity, and Communication, and Organizational Communication. She founded the department's summer study abroad program and teaches courses in organizational communication, communication theory, and qualitative research methods. Meisenbach's publications demonstrate sustained focus on stigma communication in organizational contexts, with recent work examining racialized silence, healthcare stigma during COVID-19, and feminist identity in pageantry. Her research employs qualitative methodologies including phenomenology and ethnography to explore identity management in workplace settings. She serves on four editorial boards and is past Editor-in-Chief of Management Communication Quarterly. Her work appears in leading journals including Communication Monographs, Journal of Applied Communication Research, and Health Communication.

Jianxi GaoView profile

Associate Professor

• Network Science
• Artificial Intelligence
• Control Theory
• +3 more

Jianxi Gao is an Associate Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research focuses on network science, particularly network resilience, robustness, and control, integrating network theory, control theory, statistical physics, and operations research. He also explores the intersection of network science and AI, including applications of AI to network analysis and vice versa. His work aims to understand, predict, and control the resilience of complex systems against cascading failures. Key research areas include network resilience in transportation systems, quantum networks, and biological systems, with applications to pandemic response and infrastructure optimization. Gao's contributions span theoretical frameworks and computational tools, such as the NuRsE MATLAB package for network resilience analysis. His GitHub repositories (e.g., NuRsE and NON) showcase his open-source contributions to network science and computational methods. His recent publications address topics like AI-driven network analysis, quantum network percolation, and pandemic-induced healthcare system stress. He actively collaborates on interdisciplinary projects, emphasizing real-world applications of network science principles.

Gang ChenView profile

Associate Professor

• Public Budgeting
• Public Finance
• Financial Management
• +4 more

Gang Chen is an Associate Professor in the Department of Public Administration & Policy at the University at Albany's Rockefeller College of Public Affairs and Policy. He co-founded and co-directs the State and Local Government Finance Project (SLGF) at the Center for Policy Research. His research specializes in public budgeting, financial management, and fiscal policy, with emphases on pension systems, disaster resilience, and governmental transparency. Education: PhD, Public Administration, University of Nebraska at Omaha MA, Public Administration, Sun Yat-sen University, China BA, Public Administration, Sun Yat-sen University, China Research Focus: Dr. Chen investigates fiscal risks in public pensions, disaster response financing, transparency reforms, and local government financial practices. His work integrates empirical analysis with policy applications to address systemic challenges in public sector finance. Grants and Leadership: He has secured funding from the Governmental Accounting Standards Board, Society of Actuaries, Pew Charitable Trusts, and others, leading projects on pension governance and fiscal resilience. Teaching: Courses include Public Budgeting, Applied Statistics, Public Financial Management, and Advanced Quantitative Analysis. He also contributes to international capacity-building as an instructor for Zimbabwe's Parliamentary Strengthening Program.

Lianying ZhaoView profile

Associate Professor

• Trusted Computing
• Hardware/Architectural Security
• Systems Security
• +3 more

Lianying Zhao is an Associate Professor in the School of Computer Science at Carleton University and serves as a Director of the Carleton Computer Security Lab (CCSL). His research focuses on low-level platform security, including hardware, firmware, hypervisor, and operating systems, with an emphasis on trusted computing, authentication, privacy preservation, and security metrics. He leads the CCSL research group, collaborating with interdisciplinary teams to address critical security challenges in IoT, cloud systems, and web applications. Education: Not explicitly listed in provided texts. Roles: CCSL Director, Research Supervisor, and Graduate Program Advisor. Dr. Zhao’s work spans hardware security improvements, firmware vulnerability analysis, and user-centric security metrics. Recent research highlights include studies on router configuration habits, tracker detection in web browsers, and CVSS score discrepancies. He has supervised numerous graduate students in cybersecurity domains, contributing to over 30 peer-reviewed publications since 2013. His lab affiliations include CCSL and CISL, where he collaborates on projects such as secure deletion frameworks, TLS validation vulnerabilities, and hybrid decision-making models for cloud security. Current research also explores cross-regional login throttling mechanisms and AI-driven vulnerability detection in embedded systems.