Relocation Fairness Professors and Supervisors

Eva Pongraczمشاهده پروفایل

استاد

University of OuluFinland

Professor Eva Pongracz serves as Professor of Energy Systems and Environmental Engineering at the Faculty of Technology, University of Oulu, where she leads the Energy and Environmental Engineering Research Group. Her work focuses on carbon-neutral energy systems, smart grids, digitalization, 6G, AI, and distributed systems with specific attention to Nordic climate challenges and social sustainability. Her educational background includes a D.Sc.(Tech.), Dr.Univ., Lic.Sc.(Tech.), and M.Sc.(Tech.), earned through studies in Budapest following her early education in Czechoslovakia, before relocating to Finland post-Velvet Revolution. Research interests encompass sustainability, sustainable energy, energy transition, circular economy, environmental justice, variable energy production, environmental technology, sustainable production methods, and waste management. Her work emphasizes holistic integration of environmental services (energy, water, waste) and addresses Arctic-specific climate challenges where impacts are amplified, advocating for resource efficiency through systemic solutions. Professor Pongracz actively supervises master's and doctoral theses while securing competitive research funding for projects including: Solutions for transition: Fair and flexible energy system (Flaire) Integrating hydrogen and nuclear in the future sustainable energy system (HYDRA) Climate neutral, justified and sustainable H2 transition Energy- and cost-efficient production of solar energy under arctic environmental conditions Solar hydrogen unit as part of versatile energy production, consumption and storage system Geoenergy Leap Heat Battery – Utilization of industrial side streams for sustainable energy storage Carbon footprint of the University of Oulu Modern villages Blue Circular Nets Energy-wise Port These initiatives target Nordic-specific energy solutions and circular economy implementation. The Energy and Environmental Engineering Research Group she directs develops carbon-neutral energy frameworks with special consideration for northern communities' small-scale infrastructure needs, decentralized energy solutions, and Arctic regional development challenges where climate change impacts are disproportionately severe.

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Song Wangمشاهده پروفایل

استادیار

University of Central FloridaUnited States

Song Wang serves as an Assistant Professor in Computer Science at the University of Central Florida, joining as one of 19 new faculty hires in the field. He relocated to UCF from the University of Virginia, where he completed his doctoral studies. His educational background includes: Ph.D. from the University of Virginia Dr. Wang's research centers on advancing machine learning algorithm generalization and robustness in novel scenarios, such as cross-task adaptation, distribution shifts, and zero-shot learning. His work bridges theoretical computer science with practical applications in bioinformatics for genomic analysis and computational neuroscience for brain modeling. This interdisciplinary approach addresses critical challenges in deploying AI systems under real-world constraints where training and deployment conditions diverge significantly. He maintains active industry-academic connections through UCF's strategic investments in computing infrastructure, with his office housed in the L3 Harris Engineering Center.

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Yifan Huمشاهده پروفایل

استادیار

ETH ZurichSwitzerland

Yifan Hu is an Assistant Professor in the Department of Statistics at Rutgers University (New Brunswick, NJ). His research focuses on optimal decision-making under uncertainty, with expertise spanning optimization, statistics, and operations research. He works on problems arising from reinforcement learning, large language models, causal inference, and operations management. Dr. Hu received his PhD in Operations Research from the University of Illinois at Urbana-Champaign in 2022, advised by Prof. Xin Chen and Prof. Niao He. Prior to his PhD, he earned a Bachelor of Mathematics from Nankai University. He also completed postdoctoral work with Prof. Daniel Kuhn from EPFL and Prof. Andreas Krause from ETH Zurich. Dr. Hu's research centers on developing optimization methods to solve complex problems with provable guarantees. His work addresses challenges such as nonconvexity, noisy observations due to distribution shifts, interactions between multiple decision makers, and limited data samples. He has developed approaches for structured nonconvex optimization problems that can be solved efficiently to global optimality, despite their apparent computational intractability. His research spans several key areas including global optimality in structured nonconvex optimization, large-scale causal inference, contextual bilevel optimization, and robust reinforcement learning with large language models. Dr. Hu has published numerous papers in top-tier venues including NeurIPS, ICML, ICLR, AISTATS, and journals like SIAM Journal on Optimization and Operations Research. His recent work shows a strong trend toward integrating optimization theory with practical applications in machine learning, causal inference, and decision-making systems. He has made significant contributions to understanding the landscape of nonconvex optimization problems, developing efficient algorithms for causal discovery, and creating robust frameworks for reinforcement learning and language model alignment. Dr. Hu serves as an area chair for ICLR and as a reviewer for numerous statistics, optimization, and operations research journals (e.g., JASA, JMLR, OR, MS, MSOM, MP, SIAM OPT, Math OR) as well as machine learning conference proceedings (e.g., NeurIPS, ICML, ICLR, AISTATS, COLT). He is actively seeking motivated PhD students and research interns with backgrounds in mathematics, statistics, operations research, or computer science. Outside of academia, Dr. Hu enjoys skiing, swimming, hiking, and playing tennis.

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David Courpassonمشاهده پروفایل

استاد

Cardiff UniversityUnited Kingdom

Professor David Courpasson is a faculty member at Cardiff Business School , specializing in organizational behavior, resistance studies, and neoliberal management critique. His work bridges sociology, management theory, and ethnographic research. Current academic rank: Professor Key research themes: Workplace resistance, identity formation, and power dynamics His recent publications explore: Embodied identities in elite kitchens (2024) Object-based resistance to spatial change (2023) Everyday insubordination under neoliberalism (2022) Secrecy-creativity interplay in innovation (2018) He employs ethnographic and critical theoretical frameworks to analyze organizational cultures, with a focus on physicality, emotional labor, and digital activism. His work appears in top journals including Human Relations , Organization Studies , and Journal of Management Studies .

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Yusen Xiaمشاهده پروفایل

استاد

Georgia State UniversityUnited States

Yusen Xia is a Professor and Director of the Institute for Insight at the Robinson College of Business, Georgia State University. His research focuses on machine learning, deep learning, healthcare analytics, and supply chain management. He earned his Ph.D. from the University of Texas at Austin and has a strong record of industry collaboration and NSF funding. He teaches courses such as Mathematical Foundations for Analytics and Deep Learning Analytics, and his work bridges theoretical research with practical business solutions. Education: Ph.D., University of Texas at Austin M.S., Chinese Academy of Sciences B.S., XiDian University Research Interests: Dr. Xia’s work integrates advanced analytics with business challenges. He develops AI-driven solutions for healthcare operations, financial decision-making, and supply chain optimization. His recent focus includes fairness in AI models, blockchain applications in logistics, and telehealth adoption trends. Key methodologies include deep learning, Bayesian models, and spatio-temporal analysis. Publications: Over 30 top-tier journal articles in Management Science, Operations Research, and Harvard Business Law Review highlight his contributions to operations management, financial analytics, and healthcare systems. Awards: Multiple teaching and research accolades include the Faculty Recognition Award (2012, 2017), Texas Excellence Teaching Award (2003), and awards from Decision Sciences Institute and Academy of Management. Advising & Grants: Leads sprint projects applying machine learning to solve industry problems. Research funded by NSF and corporate partners. No formal advisees listed. Labs & Teams: Oversees the Institute for Insight, which focuses on data science and analytics innovation.

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Caroline Jagtenbergمشاهده پروفایل

استادیار

Vrije University AmsterdamNetherlands

Dr. Caroline Jagtenberg is an Assistant Professor in the Department of Operations Analytics at the School of Business and Economics, Vrije Universiteit Amsterdam. Her expertise lies in operations research applied to emergency service optimization, healthcare logistics, and fair resource allocation. She holds a PhD in applied mathematics from CWI (2017) and conducted postdoctoral research at the University of Auckland (2018). Education: PhD in Applied Mathematics, Centrum Wiskunde & Informatica (CWI), 2017 Postdoctoral Fellowship, University of Auckland, New Zealand, 2018–2020 Research Interests: Dr. Jagtenberg focuses on bridging theoretical optimization and practical applications in emergency services. Her work includes ambulance and air ambulance base location optimization, community first responder systems, police response time reduction, and fairness in healthcare resource allocation. She has contributed to projects such as the VeRoLog Solver Challenge (Third Prize, 2019) and the NWO Rubicon-funded postdoctoral research. Awards & Grants: Jo van Nunen Award (2017) for best Dutch logistics dissertation NWO Rubicon Grant (2018), supporting her postdoctoral research TKI Dinalog Grant (2023) for the SPRINTER project on emergency response optimization Advising & Projects: She leads the SPRINTER project and contributes to the TKI Dinalog initiative. Ancillary activities include editorial roles at Stator , LNMB board membership, and consultancy with organizations like Deltares and Berenschot. Labs & Teams: Her research leverages datasets such as ambulance travel times (RIVM) and Norwegian municipality data, collaborating on projects like optimizing mobile stroke units and electric ambulance deployment strategies.

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Mahsa Hosseiniمشاهده پروفایل

استادیار

University of WindsorCanada

Mahsa Hosseini is an Assistant Professor in Supply Chain Management & Data Analytics at the Odette School of Business, University of Windsor. She holds a Ph.D. from the Rotman School of Management (University of Toronto), an MBA, and a B.Sc. in Industrial Engineering from Sharif University of Technology. Her research focuses on operations management challenges in service operations, online platforms, sharing economy systems, and fairness/diversity considerations in algorithmic decision-making. Education : Ph.D., Operations Management, Rotman School of Management, University of Toronto (2023) MBA, Sharif University of Technology B.Sc., Industrial Engineering, Sharif University of Technology Her work addresses dynamic optimization problems such as car-sharing network relocations and diverse recommendation algorithms. Key contributions include developing dynamic relocation policies improving car-sharing efficiency by 23% and analyzing satiation effects in recommendation systems. Awards : 2023 Fellowship in Management, University of Toronto 2023 Doctoral Completion Award, University of Toronto Dr. Hosseini has presented research at major conferences including INFORMS and CORS. Her advisory experience includes teaching roles at Rotman and industry positions in business intelligence and market segmentation planning. Current research explores long-term impacts of algorithmic fairness in digital platforms and dynamic resource allocation strategies.

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Brian Pappasمشاهده پروفایل

استاد

University of North DakotaUnited States

Brian Pappas is the Dean of the University of North Dakota School of Law, a role he has held since July 2022. Effective July 2025, he will transition to become Chancellor of Indiana University South Bend. He concurrently serves as a Professor of Law at UND. His academic journey includes a J.D. from Wayne State University, an LL.M. in Dispute Resolution from the University of Missouri, and a Ph.D. in Public Administration from the University of Kansas. He previously held roles as Associate Provost at Eastern Michigan University and Director of the Conflict Resolution Clinic at Michigan State University’s College of Law. Pappas specializes in organizational development, conflict management, and interdisciplinary collaboration. His research focuses on mediation’s role in legal systems, Title IX compliance, and campus sexual misconduct policies. He has trained thousands of mediators and chairs the American Bar Association’s Section of Dispute Resolution. Under his leadership at UND Law, the school saw increased bar passage rates, expanded clinical programs to four areas, and a 29% rise in applications. Key achievements include securing a $1.75M bequest and improving student support through added advisors and academic success programs. He advocates for civility in public discourse, as evidenced by his 2023 ABA House of Delegates address. His community engagement includes mindfulness training for students and board memberships with the Mindfulness in Law Society and National Legal Mentoring Consortium. Pappas emphasizes service to the profession, having mediated in courts, communities, and government settings. His family relocated to North Dakota in 2022, where they embrace UND athletics and statewide cultural exploration.

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Benn Folkvordمشاهده پروفایل

استاد

University of StavangerNorway

Benn Folkvord is a Professor of Law at the University of Stavanger (UiS), affiliated with the UiS School of Business and the Department of Accounting and Law. He is an active academic with a strong focus on tax law and policy, contributing extensively to scholarly and public discourse. University: University of Stavanger School: UiS School of Business Department: Department of Accounting and Law Academic Rank: Professor Email: benn.folkvord@uis.no His research interests center on tax law, particularly corporate taxation, international tax issues, tax avoidance, compliance, legislative quality, and policy reform. He has published widely on topics such as the BEPS initiative, VAT deduction rules, shareholder loans, and tax morality. His work often combines doctrinal legal analysis with economic and policy considerations. The recent publications show a consistent trend in analyzing Norwegian tax legislation in light of EU and international standards. His articles frequently address complexities in tax rules, fairness, compliance costs, and the balance between legal certainty and administrative discretion. He engages with both technical legal issues and broader societal implications of tax policy. Benn Folkvord actively contributes to public debate through media articles and guest lectures, demonstrating a commitment to disseminating tax knowledge beyond academia. He has co-authored major textbooks on Norwegian corporate tax law and participated in expert reports on resource rents and aquaculture taxation. Scientific Awards: No awards listed in the provided text. He advises on legal and policy matters through publications and commentary, though no formal PhD or Master’s students are listed. He has collaborated with key figures in Norwegian tax law, including Eivind Furuseth, Annette Alstadsæter, and Ole Gjems-Onstad. His work is primarily published in Skatterett , Tax Law , and by academic publishers such as Gyldendal and IBFD.

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Pengfei Liمشاهده پروفایل

استادیار

University of AlbertaCanada

Pengfei Li is an Assistant Professor in the School of Information at the Rochester Institute of Technology (RIT), where he leads research at the intersection of machine learning, sustainability, and social equity. Previously, he completed his Ph.D. in Computer Science at the University of California, Riverside under Prof. Shaolei Ren, with additional collaborations at Caltech with Adam Wierman and an internship at Nokia Bell Labs. His educational background includes an M.S.E. in Robotics from Johns Hopkins University and a B.E. in Electrical Engineering from Zhejiang University. Dr. Li's research focuses on three interconnected pillars: developing trustworthy online algorithms with strict robustness guarantees, creating sustainable AI systems that minimize environmental impact, and addressing environmental and social inequities through algorithmic solutions. Analysis of his recent publications reveals a strong emphasis on the environmental consequences of AI systems, particularly water consumption ('Making AI Less 'Thirsty'') and geographical distribution of environmental burdens ('Towards Environmentally Equitable AI'). His work bridges theoretical computer science with practical sustainability challenges, often incorporating learning-augmented approaches to traditional online optimization problems. Scientific Recognition: Dissertation Completion Fellowship Award (DCFA) from the Graduate Program in Computer Science (February 2025) 'Making AI Less 'Thirsty'' in Communications of the ACM has received 15 citations and over 17,000 downloads Organizer of the workshop on learning-augmented algorithms at SIGMETRICS 2025 Dr. Li actively seeks to build a research group focused on societal fairness, reliable generative AI, and decision-focused learning. His work has established important connections between theoretical computer science and critical societal challenges, particularly around AI's environmental footprint and equitable resource distribution. Current research directions include developing algorithmic solutions for environmental and social fairness, with applications in water infrastructure, energy systems, and equitable AI deployment.

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Taha Hossein Rashidiمشاهده پروفایل

استاد

University of New South WalesAustralia

Professor Taha Hossein Rashidi is a leading expert in Transport Engineering at the School of Civil and Environmental Engineering, University of New South Wales (UNSW), and a member of the Research Centre for Integrated Transport Innovation (rCITI). His work bridges disciplines like economics, statistics, urban design, and sustainability to advance smart-city solutions. Education : PhD, University of Illinois, Chicago (2011); MS Civil Engineering, Sharif University of Technology (2005); BS Civil Engineering, Sharif University of Technology (2003). His research focuses on travel behaviour analysis, activity-based travel demand modelling, integrated land use and transportation models, and autonomous driving technologies. He leads the rCITI Travel Behaviour Modelling Team, which includes 3 Post-docs, 7 PhD, and 3 MSc students. Recent work explores shared autonomous vehicles, social media data integration for transport models, and dynamic ride-sharing systems. His publications span topics like pedestrian demand modeling, residential relocation dynamics, and pandemic-related travel restrictions. Scientific Awards Fred Burggraf Award (TRB, 2008) Dwight Eisenhower Fellow (2008) ASCE Freeman Fellowship (2009) NSERC PDF Award (2012) Industrial RAND Fellowship (2012) Vice Chancellor’s Award for Teaching Excellence (2015, Team) Award for Engineering Education Engagement (2015, Team) Outstanding Paper (TRB Analytics Contest, 2017) He has secured over $1.2 million in research funding since 2007, including ARC DECRA and Linkage Grants. His teaching includes courses on geometric design, urban transport modeling, and transport econometrics.

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Nikolaos Kapitsinisمشاهده پروفایل

استادیار

University of CopenhagenDenmark

Nikolaos Kapitsinis is a Tenure Track Assistant Professor in Economic Geography at the Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen. His research focuses on political economy approaches to uneven geographical development, labour geography, and the spatial organization of socio-economic change. Previously, he worked as a Research Associate at Cardiff Business School, examining structural issues of the Welsh economy. Education: PhD in Economic Geography, University of Bristol (2017) MRes in Regional Studies, University of Groningen (2012) MSc in European Regional Development Studies, University of Thessaly (2010) BSc in Planning and Regional Development, University of Thessaly (2009) Dr. Kapitsinis is a member of the research group 'Transformation of cities and landscapes – Geoinformatics' and his work has been published in top-ranked journals including Geoforum and European Planning Studies. He is a Regional Studies Association Fellow with research interests spanning economic geography, regional development, geographical inequalities, labour geography, political economy, spatial organisation, socio-economic change, firm relocation, and industrial location. His recent publications demonstrate a strong focus on commons theory, socio-ecological crisis responses, trade fair development in urban contexts, and the political economy of regional development. His work often employs case studies from Greece, particularly Thessaloniki, while maintaining a comparative international perspective. The research shows interdisciplinary connections between geography, political ecology, urban studies, and economic sociology. Scientific Awards: ISABEL- Horizon Project (2025) Commendation for Best Young Scientist Paper (2015) Institute of Human Geography Research Grant (2024) Dr. Kapitsinis has been actively involved in peer review activities for numerous journals including British Accounting Review, Risk Management and Healthcare Policy, and Eastern Journal of European Studies. He has also served as a reviewer for research proposals for the Dutch organisation for health research and care innovation and the Hellenic Foundation for Research & Innovation. His media engagements focus on labor precarity, trade fairs' economic impacts, and regional responses to the COVID-19 pandemic. His research is characterized by strong community engagement, particularly in Greek contexts, with an emphasis on participatory approaches to urban planning, common resource management, and addressing socio-economic inequalities. Current projects examine the intersection of environmental challenges, economic restructuring, and community resilience.

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