Zhe Liu is an Assistant Professor in the Analytics & Operations group at Imperial College Business School, where he also serves as PhD Director. He holds a PhD in Operations Management from Columbia Business School and a BS in Industrial Engineering from Tsinghua University. His research focuses on revenue management and supply chain optimization, with specialized interests in sharing economy platforms and multi-sourcing strategies. Liu's work examines operational challenges in modern business environments through mathematical modeling, including queueing systems, pricing optimization, and risk management in volatile supply chains. His publications demonstrate consistent themes in platform operations, stochastic optimization, and behavioral interactions within multi-agent systems. Recognized with numerous honors, Liu received the 1st Place Service Science Best Cluster Paper Award (2024), 2nd Place CSAMSE Best Paper Award (2024), and was a finalist in the George Nicholson Student Paper Competition. He actively mentors PhD students and serves as judge for international paper competitions and conference program committees.
Jun Li is a Full Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He specializes in developing statistical and computational methods for big data, with a focus on interdisciplinary applications in bioinformatics, machine learning, and data mining. His career includes tenure as an Assistant Professor (2012–2017) and promotion to Associate Professor (2017) before becoming Full Professor (2020). Dr. Li holds a Ph.D. in Statistics from Stanford University (2012), supervised by Robert Tibshirani, and earlier degrees from Tsinghua University: a B.E. in Automation (2004) and an M.S. in Pattern Recognition and Intelligent Systems (2007). Research Interests : Dr. Li’s work centers on advancing computational frameworks for handling large-scale datasets, integrating statistical rigor with algorithmic innovation. Recent themes include AI-driven code improvement, ethical LLM applications in HCI, and GUI automation. His methodologies emphasize human-AI collaboration and transparency in algorithmic systems. Publications : His 2025 work explores LLM vulnerabilities in GUI agents, AI-assisted education tools like GLITTER, and ethical challenges in HCI research. Earlier studies (2024–2023) address topics such as natural language database queries, privacy-preserving app promotion analysis, and multimodal task learning. Lab/Teams : Affiliated with Notre Dame’s computational statistics research groups, focusing on interdisciplinary projects bridging statistics, computer science, and applied mathematics. His work often involves collaborations with industry and academic partners to translate theoretical advancements into practical applications.
Briana Last is an Assistant Professor in the Department of Psychology at Stony Brook University, specializing in Clinical Psychology. She holds a PhD from the University of Pennsylvania (2022) and focuses on improving mental health service accessibility and quality through interdisciplinary research. Her research emphasizes three core domains: social determinants of mental health, implementation strategies for service improvement, and structural factors influencing clinician decision-making. She employs mixed methods and community-based participatory approaches, prioritizing marginalized populations affected by systemic inequities. Key interests include behavioral health workforce development, policy analysis, and dismantling barriers to equitable mental healthcare. Her lab, the Mental Healthcare for All Lab, collaborates with governments, agencies, and clinicians to translate research into actionable policies. Notable projects address clinician burnout interventions, public mental health system gaps, and anti-transgender policy impacts. Recent work critiques scientifically unfounded bans on gender-affirming care and evaluates federal loan repayment programs for mental health workforce retention. Publications span topics like AI chatbots in mental health, state policy effects on LGBTQ+ populations, and trauma therapy implementation. Her work highlights how clinician work conditions directly shape patient care quality, advocating for systemic changes to enhance both provider well-being and patient outcomes.
Charu Gupta Kumar is a Research Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign, affiliated with the Neuroscience program. Her research focuses on systems and computational biology, integrating computational genomics, bioinformatics, and systems biology approaches to study microbiome/pathogen dynamics, neurological diseases, and evolutionary processes. She leads the Systems and Computational Biology Group, emphasizing interdisciplinary methodologies to address complex biological questions. Her academic roles include a zero-time appointment in the Department of Neuroscience (2013–present) and service as an admission reviewer for the Carle Illinois College of Medicine (2020–2022). She advises a diverse cohort of undergraduate and graduate students engaged in bioengineering and computational biology projects. Her work bridges environmental microbiology with human health, exploring astrocyte roles in neurological disorders like glioblastoma and autism, and investigating evolutionary mechanisms of metabolic networks across species. Publications highlight contributions to bovine genomics, microbial community analysis in subsurface environments, and computational tools for genomic data management. Her research trends emphasize translational applications of computational biology to environmental and clinical challenges, with recent focus on microbiome-disease interactions and astrocyte signaling pathways. Advising spans mentoring over 18 students across bioengineering and computer science disciplines, with notable alumni advancing to institutions like MIT and Johns Hopkins. She collaborates with跨学科 teams in bioengineering and neuroscience, contributing to the broader Grainger College of Engineering research ecosystem.
Thomas Richter is a leading academic and Professor at the German Institute for Global and Area Studies (GIGA) , where he serves as Lead Research Fellow and Head of the Research Programme "Accountability and Participation" . His work focuses on the institutional and material determinants of authoritarian rule , executive personalization , and global political economy , particularly in the Middle East and North Africa region. Education: PhD in Political Science (summa cum laude) at the University of Bremen (2008); studies at Eberhard-Karls University Tuebingen and University of Michigan, Ann Arbor. His research explores the interplay of rentier statehood and economic reforms , civil society under authoritarian regimes , and shrinking civic spaces . Recent projects include the Merian Center for Advanced Studies in the Maghreb (MECAM) and the Monitoring System and Transfer Platform Radicalisation (MOTRA) , funded by BMBF and DFG. Richter has published extensively on topics such as anti-Semitism , executive power dynamics , and public opinion on military service in Germany. He has received notable awards, including the Lijphart/Przeworski/Verba Data Set Award (2017) and the Gero Erdmann-Preis für vergleichende Area-Forschung (2022) . His collaborative work spans institutions like the WZB Berlin and Université de Tunis . Richter is also a co-editor of the Perspectives on the Maghreb series with Amsterdam University Press.
Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.
Prof. Ingo Grass is a Full Professor at the University of Hohenheim, heading the Department of Ecology of Tropical Agricultural Systems (490f) and serving as Deputy Head of the Department of Crop Production in the Tropics and Subtropics (490e). He is Director of the Hans Ruthenberg Institute for Tropical Agricultural Sciences and an Equal Opportunities Officer within the Faculty of Agricultural Sciences. His research focuses on agroecology, tropical agricultural systems, and biodiversity conservation in human-modified landscapes. Education: PhD in Biology from Philipps-Universität Marburg (2014). PostDoc at University of Göttingen (2014-2019) before moving to Hohenheim. Research Interests: Agroecosystem biodiversity, pollination ecology, land-use impacts on ecosystems, and sustainable farming practices. His work emphasizes reconciling productivity with biodiversity preservation, with a focus on tropical regions and temperate grasslands. Articles Trends: Recent work explores pesticide impacts on non-target insects, agroecological strategies to enhance pollination and biocontrol, and biodiversity benefits of diversified crops. He frequently collaborates on global studies involving tropical landscapes and urban agriculture dynamics. Awards: Maria Sibylla Merian Award (2013), Teaching Excellence Awards (2016 & 2018). Labs/Teams: Leads interdisciplinary teams in tropical agroecology, collaborating with institutes in Indonesia, Madagascar, and South Africa.
Maria Lindholm is a Postdoctoral Research Fellow at the Department of Industrial Engineering and Management, Faculty of Management and Business, Tampere University. Her research focuses on occupational health and safety (OSH), particularly in healthcare and manufacturing sectors, emphasizing risk assessment frameworks, ergonomic standards, and emerging challenges like climate change impacts. She has published extensively on home care worker safety, safety culture development, and future-proofing occupational safety practices. Key research themes include: OSH risks in non-traditional work environments (e.g., clients’ homes) Risk assessment tools and self-evaluation methodologies Human factors and ergonomics in business education Cross-sectoral safety challenges (healthcare, rail transport, manufacturing) Her work often integrates qualitative reviews, case studies, and systematic analyses to address practical industry needs. Notable contributions include developing safety frameworks for home care personnel and evaluating occupational hazards in SMEs.
Mor Armony is the Vice Dean for Faculty and Research, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations & Statistics at the Leonard N. Stern School of Business, New York University. She has been a key faculty member since 1999 and is a leading researcher in stochastic modeling and service operations. Ph.D. in Operations Research, Stanford University (1999) M.S. in Operations Research, Stanford University (1997) M.S. in Statistics, Hebrew University of Jerusalem (1996) B.S. in Mathematics and Statistics, Hebrew University of Jerusalem (1993) Her research focuses on large-scale service systems, particularly in healthcare and contact centers. She investigates patient flow in hospitals, optimization of customer experience, and control of stochastic processing systems using advanced queueing models and operations research techniques. Her work bridges theoretical rigor with practical applications in service operations management. The recent articles reflect a strong trend toward integrating behavioral aspects into operations models, such as customer impatience, strategic patient behavior, and the impact of online reviews on physician demand. Her research spans healthcare operations, call center optimization, and dynamic routing in heterogeneous systems, consistently published in top journals like Management Science , Operations Research , and Production and Operations Management . Scientific recognition includes being named the Harvey Golub Professor of Business Leadership, a distinguished title at NYU Stern. Harvey Golub Professor of Business Leadership She actively advises research projects and collaborates with scholars on topics including staffing, routing, and capacity management. Her work has been supported by ongoing academic engagement and publication, with recent projects addressing appointment scheduling with no-shows, strategic capacity withholding, and co-sourcing in call centers. She leads research in data-driven queueing science applied to hospital operations and is involved in empirical studies on digital health platforms. Her research group, the Operations Management Group at Stern, focuses on developing analytical models for complex service systems. She contributes to interdisciplinary efforts in healthcare operations and collaborates with medical researchers on improving critical care delivery and outpatient scheduling.
Walid G. Aref is a Professor of Computer Science at Purdue University since Fall 1999. His research focuses on database systems, spatial and spatio-temporal data management, query processing, and indexing. He has led projects funded by NSF, NIH, and industry partners. Aref is a Fellow of the IEEE and has received awards including the NSF CAREER Award (2001) and VLDB’s Ten-Year Best Paper Award (2016). He serves as Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems and has authored numerous influential papers. Education: BSc/MSc from Alexandria University (Egypt), PhD from University of Maryland (1993). Research Interests: Extending database functionality for emerging applications like spatial, graph, and sensor databases. Notable contributions include the Chameleon project, AQWA system for big spatial data, and privacy-preserving Casper framework. Selected Projects: NSF-funded work on multi-predicate spatial queries, in-memory graph relational systems, and adaptive spatio-textual processing. Systems like Tornado (spatio-textual streams) and LocationSpark (distributed spatial data) exemplify his contributions. Awards: Multiple best paper awards, IEEE Fellow, and leadership roles in ACM SIGSPATIAL.
Hua Cai is the Thomas and Jane Schmidt Rising Star Associate Professor at Purdue University's Edwardson School of Industrial Engineering with a joint appointment in Environmental & Ecological Engineering. She holds a PhD in Environmental Engineering & Natural Resources from the University of Michigan, an MS in Environmental Engineering from Penn State, and a BS from Tsinghua University. Her research integrates operations research and production systems to address sustainability challenges, with focus areas including: Environmental implications of emerging technologies Urban sustainability modeling and infrastructure resilience Industrial ecology and complex adaptive systems Sustainable transportation and mobility systems Recent publications demonstrate strong focus on sustainable transportation systems, with extensive analysis of shared mobility patterns (bike/e-scooter systems), autonomous vehicle impacts, and microgrid resilience. Her work consistently applies advanced computational methods including reinforcement learning, agent-based modeling, and spatiotemporal analysis to urban sustainability challenges. Dr. Cai has received recognition including the Thomas and Jane Schmidt Rising Star Professorship for her contributions to sustainable systems engineering. She leads research on renewable energy integration in transportation infrastructure and advises projects on climate-resilient urban systems.
Professor Bruce Jefferson is a Professor of Water Engineering at Cranfield University's Water Science Institute. He holds visiting positions at RMIT and the University of New South Wales in Australia. With a BEng and PhD from Loughborough University, he joined Cranfield in 1997, progressing through roles including Senior Research Fellow (2003) and Senior Lecturer (2006). His research focuses on optimizing water and wastewater treatment technologies, particularly resource recovery, anaerobic processes, and advanced oxidation. Key interests include low-energy nutrient removal, control of NOM and algae, and sustainable water production techniques like slow sand filter skimming. Education: BEng (Chemical Engineering) and PhD from Loughborough University. Research spans innovative treatment methods, such as microbubble applications in ozonation and coagulation strategies for PFAS removal. He collaborates with major water utilities (e.g., Anglian Water, Thames Water) and agencies like the EPA. Current projects include NextGen circular water solutions, pollution resilience in rivers, and phosphorus removal via wetlands. Advises six doctoral students and oversees research teams at Cranfield's Water Institute. Labs/Teams: Cranfield Water Science Institute, leading research groups in wastewater treatment, resource recovery, and environmental engineering.
Dr Bhishna Bajracharya is an Associate Professor of Urban Planning at Bond University's Faculty of Society & Design. He previously taught at Queensland University of Technology (QUT) for over 12 years and worked as a post-doctoral fellow at the Australian National University. His research focuses on urban sustainability, disaster resilience, and master-planned communities. Education: PhD in Urban Planning, University of Hawaii (200?) MURP in Urban Planning, University of Hawaii BArch in Architecture, Delhi University Research Interests: Smart cities and infrastructure Disaster management and community resilience Transit-oriented development Climate change adaptation Sustainable campus design Knowledge-based regional economies Recent Research Trends: His recent work emphasizes cross-border planning (e.g., Gold Coast Airport integration), megaproject governance, and innovative disaster management frameworks. He frequently collaborates with governments and NGOs to bridge research and policy gaps. Awards & Grants: Australian Research Council (ARC) Linkage Grant for community narratives in urban planning Emergency Queensland grant for disaster governance research Advising & Partnerships: Supervising PhD students in urban planning Collaborations with QUT's Creative Industries faculty Member of Bond University's Sustainability Committee Labs & Teams: Affiliated with the Centre for Comparative Construction Research at Bond University, focusing on global urban challenges.
Prof. Alexander Geissler holds the position of Full Professor of Health Care Management at the School of Medicine (Med-HSG) within the University of St. Gallen. His research focuses on health systems research, health economics, and health policy, with particular emphasis on digital transformation in healthcare and patient-reported outcomes. He has contributed extensively to studies on healthcare quality improvement, public reporting systems, and the integration of artificial intelligence in medical diagnostics and screening programs. His work spans topics like optimizing hospital digital maturity (e.g., German DigitalRadar project), analyzing surgical outcomes (robotic vs. open prostatectomies), and evaluating patient empowerment through quality information. He has pioneered methodologies for interpreting patient-reported outcomes (e.g., EQ-5D-3L) and designing clinical dashboards to enhance care delivery. Recent research highlights include investigating AI applications in breast cancer screening and cost-effectiveness of remote patient monitoring post-joint replacement surgery. Geissler’s publications demonstrate a strong focus on healthcare policy implications, such as hospital capacity planning, payment systems for specialized care, and cross-country comparisons of healthcare transparency initiatives. His work frequently bridges academic rigor with practical policy recommendations, particularly in Switzerland and Germany. Notably, he has addressed low-value care reduction, price sensitivity in healthcare demand, and the socio-demographic factors influencing healthcare utilization. While no specific awards are listed, his prolific research output reflects sustained leadership in health systems analysis. His academic contributions are disseminated through the Alexandria Research Platform and international peer-reviewed journals.
Joséphine Gantois is an Assistant Professor in Human Dimensions of Biodiversity Conservation at the University of British Columbia, jointly appointed in the Institute for Resources, Environment and Sustainability (IRES) and the Food and Resource Economics Program within the Faculty of Land and Food Systems. Her work bridges economics, ecology, and data science to address ecological footprints in agricultural and natural landscapes. She holds a Ph.D. in Sustainable Development from Columbia University, an M.P.A. in International Development from the London School of Economics, and advanced degrees in economics and the sciences from École Polytechnique. Research Focus: Dr. Gantois investigates practical solutions for reconciling land use incentives with conservation goals, particularly in agricultural areas. Her research emphasizes causal inference methods, integrating remote sensing, machine learning, and qualitative tools like interviews. Key areas include biodiversity monitoring, policy impact assessment, and ecosystem function analysis. She has explored habitat restoration in Ontario grain farms during her postdoctoral work under Dr. Claire Kremen at UBC. Teaching & Engagement: She teaches in the Master of Food and Resource Economics (MFRE) program, focusing on interdisciplinary approaches to sustainability challenges. Her work highlights the intersection of human behavior, policy design, and ecological outcomes, aiming to inform actionable conservation strategies.
