Find Academic Supervisors

Jan Fabian EhmkeView profile

Professor

• Business Analytics
• Logistics
• Transportation
• +5 more

Jan Fabian Ehmke is a Professor at the University of Vienna , Faculty of Business, Economics and Statistics, and Head of the Department of Business Decisions and Analytics. He actively supervises Master's theses in quantitative fields like business analytics, logistics, production, and transportation, requiring mathematical modeling and data analysis skills. Key Research Areas: Business Analytics, Logistics, Transportation, Supply Chain Management, Data Science, and Stochastic Optimization Current Projects: AI-based Energy-Efficient Train Planning, Proactive Route Planning for Pandemic Testing, Reliable Railway Scheduling Recent Publications focus on pandemic logistics, mobile parcel lockers, railway operations, and collaborative transportation systems. His work contributes to SDGs like Sustainable Cities and Responsible Consumption. 2025: 7 publications including pandemic waste supply chain optimization, equitable disease testing models 2024: 4 key papers on dynamic learning for itineraries, bike-sharing systems Awards: Transportation Science Meritorious Service Awards (2021, 2023), EJOR Best Review Paper (2021). He serves as President and Communications Chair in INFORMS Transportation Science Society.

Wen-Chen HuView profile

Associate Professor

• Handheld/Mobile/Smartphone/Spatial Computing
• Location-Based Services
• Web-Enabled Information Systems
• +6 more

Wen-Chen Hu is an Associate Professor in the Department of Computer Science at the University of North Dakota's School of Electrical Engineering and Computer Science. He has held academic positions at Auburn University (Assistant Professor, 1998–2002) and the University of North Dakota (Assistant/Associate Professor since 2002). His teaching spans courses like .NET/Web Programming, Computer Architecture, Electronic Commerce Systems, and Advanced Database Systems, with over 100 graduate students advised. Education PhD in Computer and Information Science and Engineering, University of Florida (1998) MS in Computer Science, University of Iowa (1993) ME in Information Science and Electronic Engineering, National Central University, Taiwan (1986) BE in Computer Science, Tamkang University, Taiwan (1984) Research Interests : Dr. Hu's work focuses on handheld/mobile/smartphone/spatial computing, location-based services (LBS), web-enabled information systems (e.g., search engines, web mining), database-driven systems (electronic/mobile commerce), and web technologies. His publications emphasize privacy-preserving LBS, spatial trajectory prediction, mobile security, and big data applications. Publication Trends : His recent work (2020–2023) explores pandemic response via mobile analytics, privacy in LBS, and smartphone computing. Earlier (2014–2017), he addressed geometric LBS algorithms, cognitive radio networks, and super-resolution image processing. Foundational work (1998–2005) includes XML search engines, handheld programming languages, and mobile commerce security. Scientific Awards : Best Paper Award, MICS 2015 Best Paper Award, ACM Southeast Conference 2003 Best Reviewer Awards Community Service Awards Advising & Academic Leadership : Dr. Hu has advised over 100 graduate students and served as General Chair for ICETA 2018 and Associate Editor for the Journal of Information Technology Research . He has organized editorial/review roles for over 100 journals and conferences.

• Computer Science
• Sustainability Science
• Machine Learning
• +2 more

Laura Ruotsalainen is a Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science, University of Helsinki . She leads the Spatiotemporal Data Analysis group and is affiliated with the Helsinki Institute of Sustainability Science (HELSUS) and Helsinki Institute of Urban and Regional Studies (Urbaria) . Her research focuses on machine learning, computer vision, and sensor fusion for sustainable smart cities, particularly in urban mobility and GNSS security. Professor in Spatiotemporal Data Analysis for Sustainability Science Research Group: SDA (Spatiotemporal Data Analysis) Key Collaborations: Finnish Center for AI (FCAI), Konecranes Oyj, MATINE Her recent publications span spatiotemporal analysis, GNSS jammer localization, urban traffic simulation, and deep learning applications in navigation. Projects include AI-based optimization tools for sustainable urban planning (Research Council of Finland) and 5G-assisted Galileo-GPS receivers with inertial and visual enhancements.

Grit WaltherView profile

Professor

• Production Management
• Logistics
• Supply Chain Management
• +7 more

Grit Walther is a University Professor of Operations Management at the Faculty of Business and Economics, RWTH Aachen University since September 2012. She leads the Chair of Operations Management, focusing on application-oriented research in logistics and production systems. Her work bridges business administration with engineering disciplines to address sustainability challenges in value networks. Professor Walther's educational background includes a natural sciences degree in Geoecology followed by a doctorate in 2004 from the Chair of Production and Logistics at TU Braunschweig. Her academic career progressed from heading the 'Sustainable Value Networks' working group at TU Braunschweig (2004-2009), to completing her habilitation in 2009, and holding a professorship at the University of Wuppertal (2010-2012) before joining RWTH Aachen. Her research spans production, logistics, and supply chain management with a strong emphasis on sustainability. Professor Walther investigates sustainable supply chains, reverse logistics, sustainable mobility systems, and the transformation toward zero-emission industries. Her work integrates robust and multi-criteria optimization approaches to address uncertainties in regulatory, economic, and technological conditions across various sectors including non-ferrous metal industries, automotive, and energy markets. Professor Walther's publication record demonstrates consistent contributions to leading journals in operations research and management science. Her recent work shows increasing focus on sustainability challenges, particularly in recycling networks, green logistics, and sustainable mobility. She frequently collaborates with researchers across disciplines, addressing complex problems at the intersection of business, engineering, and environmental science. She actively engages with industry through research projects implemented in interdisciplinary cooperation with engineering and scientific research institutes, industrial companies, and political decision-makers. Her work on sustainable value networks has practical implications for companies seeking to optimize their operations while meeting environmental objectives.

Douglas AlemView profile

Senior Lecturer

• Humanitarian Logistics
• Operations Research
• Stochastic Programming
• +6 more

Douglas Alem is a Senior Lecturer in Business Analytics and Programme Director of the MSc Data & Decision Analytics (online) at the University of Edinburgh Business School. His research bridges Management Science and Humanitarian Logistics, focusing on optimization under uncertainty. Production Engineering (BSc), Federal University of São Carlos, Brazil (2004) Computer Science & Computational Mathematics (MSc), University of São Paulo, Brazil (2007) Computer Science & Computational Mathematics (PhD), University of São Paulo, Brazil (2011) His research addresses practical operations planning in humanitarian contexts: distributing emergency commodities, location-allocation under social concerns, and supply chain design across disaster cycles. Key methodologies include stochastic programming and robust optimization. Recent publications analyze lot-sizing in beverage production, malaria prevention campaigns, and road restoration logistics. His work emphasizes practical disaster management applications and equity considerations. Best European Journal of Operational Research paper (innovative application), 2018 Best Paper Awards - European Journal of Operational Research, 2023 As a Principal Investigator, he leads projects like FAVuPe (Food Analytics for Vulnerable Populations) and socioeconomic-based disaster response frameworks. He also advises PhD students in data analytics for humanitarian operations and contributes to consultancy on waste management and risk mitigation.

• Cadastral value
• Circular economy
• Cost accounting
• +11 more

Alice Barreca (Politecnico di Torino, Department of Architecture and Design) is a fixed-term assistant professor and researcher specializing in real estate appraisal and project evaluation within civil engineering and architecture (Area 0008). Her work bridges economic sustainability , cultural heritage , and fragile territories , with a focus on urban vulnerability, circular economy, and energy retrofit. Scientific expertise: CEAR-03/C - Appraisal and Evaluation ERC sectors: Behavioral economics, Development economics, Econometrics, Environmental economics SDG contributions: #3, #4, #5, #10, #11 Research Themes : Barreca investigates the intersection of economic feasibility and territorial resilience , particularly in rural and heritage contexts. Her work combines data-driven methodologies ( GIS , machine learning ) with collaborative planning to address challenges in real estate markets and energy policy . Key projects include SYSTOUR (2023-2027) for sustainable tourism and Challenge@PoliTo (2022-2023) focused on renewable energy communities . Recent Publications highlight her contributions to understanding daylight valuation in housing markets, territorial potential mapping through collaborative approaches, and fiscal inequality in urban contexts. She has developed cross-cutting analyses for rural development and cultural heritage enhancement strategies in locations like Ivrea and Alta Valsesia. Teaching : Barreca serves as course lecturer for modules including Heritage Renovation and Economics for Sustainable Architecture , mentoring through problem-based learning frameworks across 2019-2025 academic years. Scientific Networks : Co-author with Rolando, Malavasi, Rebaudengo, and Coscia Contributions to journals like Journal of Building Engineering and conferences including ICCSA 2024 Member of Project Teaching Center (DAD) and Branding4Resilience collaborations

Andreas SchnepfView profile

Professor

• Inorganic Chemistry
• Metalloid Clusters
• Nanotechnology
• +5 more

Prof. Dr. Andreas Schnepf is a W3-Professor of Inorganic Chemistry at the University of Tübingen, where he leads the AG Schnepf research group within the Department of Chemistry in the Faculty of Science. His office is located at Auf der Morgenstelle 18, Room 9 A 04, in Tübingen, Germany. His research focuses on the synthesis and characterization of metalloid cluster compounds, particularly those of Germanium, Tin, and Gold. His group explores: Synthesis chemistry of metalloid cluster compounds of Germanium and Tin Template-guided syntheses of nanostructured Germanium and Tin Development of synthesis reagents based on Si(II) and Si(I) halogenides Reactivity of metalloid clusters for building new materials Synthesis of metalloid, nano-scaled Gold, Silver, and Copper cluster compounds Prof. Schnepf's research provides fundamental insights into the borderland between molecules and solid-state metals at the nanoscale. His work on metalloid clusters reveals novel bonding situations and structures that bridge molecular compounds and bulk metals. The group's preparative co-condensation technique enables access to metastable precursors essential for cluster synthesis. His recent publications (2025) demonstrate expertise across multiple subfields of inorganic chemistry, with a strong focus on cluster chemistry and nanomaterials. These works reveal trends in synthesizing geometrically complex metal clusters and understanding their bonding and reactivity patterns, particularly for gold and germanium systems. Notable scientific contributions include: Development of the preparative co-condensation technique for synthesizing metastable solutions Synthesis of novel metalloid clusters of group 14 elements Establishment of synthetic routes to multishell metalloid gold clusters Investigations into the reactivity of metalloid clusters for building new materials Prof. Schnepf has supervised numerous PhD students to completion, including Lars Preißing (2022), Florian Fetzer (2021), Tanja Kunz (2021), and Sebastian Kenzler (2020). His research group currently includes Dr. Claudio Schrenk, Roman Kimmich, Markus Strienz, Sabrina Jeltsch, and several other researchers working on various aspects of metalloid cluster chemistry. The AG Schnepf research group operates specialized equipment including co-condensation plants (in hanging and standing variants), Schlenk lines, gloveboxes for handling solids and solvents, UV-VIS spectrometers, and Zetasizer/DLS instruments essential for handling air-sensitive compounds and characterizing nanoscale materials.

Arun Kumar RoutView profile

Assistant Professor

• Two-sided Platforms
• Online Business Models
• Mechanism Design
• +1 more

Dr. Arun Kumar Rout is an Assistant Professor in Operations Management and Strategy at the University at Buffalo's School of Management. His research explores two-sided platforms, online business innovations, and mechanism design, with a focus on operational efficiency. He teaches courses in business economics and operations management. Education includes a PhD from UT Dallas, PGPM from Indian School of Business, and BTech from IIT Kharagpur. Professional affiliations include INFORMS and POMS. His 2023 publication analyzes value creation in cloud-kitchen co-location models, offering insights for service operations and platform-based businesses.

• Supply Chain Management
• Operations Management
• Sustainability
• +3 more

Nasrin Asgari is an Associate Professor in Supply Chain Management at Anglia Ruskin University (ARU), located in Cambridge. She holds a PhD in Industrial Engineering from Tarbiat Modarres University and a PGCER in Learning and Teaching from the University of Portsmouth. Education : PhD in Industrial Engineering (SCM), Tarbiat Modarres University PGCER in Learning and Teaching in Higher Education, University of Portsmouth MSc in Industrial Engineering (SCM), University of Tehran BSc in Industrial Engineering (Systems Analysis), Sharif University of Technology Research Interests focus on: Supply Chain Sustainability and Circular Economy Operations Management in Pandemic Scenarios Environmental Hazmat Routing and Fairness ICT in SME Supply Chains Food Waste Mitigation in Hospitality Her recent work addresses challenges like pandemic-driven supply chain resilience and circular economy strategies in fast fashion. Articles span real-world applications in maritime logistics, wheat storage systems, and faith community operations. Awards and Affiliations : Fellow of the Higher Education Academy (FHEA) Associate Editor, 'Supply Chain Analytics' journal Reviewer for 'European Journal of Operational Research' and others Grants and Consulting include a £2,500 grant from the Southland Methodist Trust for operations management in faith communities. She has also led projects on hazmat routing and food waste reduction. Active in editorial roles and international conferences, her research bridges theoretical models with industrial case studies across manufacturing, oil distribution, and hospitality sectors.

Alessandro AgnetisView profile

Professor

• Combinatorial Optimization
• Scheduling Algorithms
• Operations Research
• +3 more

Alessandro Agnetis is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena, with expertise in combinatorial optimization and scheduling theory. His research spans operations research, multi-agent systems, and lean management applications, with recent publications focusing on adversarial bilevel scheduling, drone emergency logistics, and fairness-utility trade-offs in two-agent systems. Current Courses: Optimization Methods, Combinatorial Optimization, Production Planning (Master's in Engineering Management) Contact: alessandro.agnetis@unisi.it Research Trends: His work addresses complex scheduling problems across manufacturing, healthcare, and logistics, particularly emphasizing: Multi-agent coordination and Nash equilibrium models Parallel machine scheduling with unreliable jobs Emergency delivery optimization using drones Time-critical testing and cross-docking systems Lean management integration in healthcare operations

• Operations Research
• Mixed Integer Programming
• Network Optimization
• +5 more

Hande Yaman Paternotte is a Professor at the Faculty of Economics and Business (FEB) at KU Leuven . Her academic work focuses on Operations Research , with particular emphasis on Mixed Integer Programming , Network Optimization , and Optimization under Uncertainty . She contributes to both theoretical advancements and practical applications in these fields. Unit: Operations Research and Statistics Research Group (ORSTAT) Member of LIM (KU Leuven Institute for Mobility) Senior academic staff in the Council of the Faculty of Economics and Business Senior academic staff in the Campus Council FEB Research Interests : Dr. Paternotte specializes in solving complex optimization problems in transportation and energy systems. Her work includes resilient infrastructure design , power system restoration , and multi-level/multi-stage optimization models. She integrates machine learning with optimization to enhance decision-making processes. Publication Trends : Her recent research spans integer programming for vehicle routing , graph partitioning , power system recovery , and dynamic resource allocation in evacuation scenarios. Applications extend to truck-drone synchronization and alternative fuel refueling networks . Teaching : She teaches courses in Applications of Operations Research and Optimization: Special Topics , fostering advanced problem-solving skills in students.

• Control Systems
• Electrical Engineering
• Robotics
• +3 more

Srinivasa M Salapaka is a Professor at the University of Illinois, holding joint appointments in the Department of Mechanical Science and Engineering and the Department of Industrial and Enterprise Systems Engineering. He is also affiliated with the Coordinated Science Lab. His research focuses on control systems, power electronics, optimization algorithms, and robotics applications such as UAV routing and atomic force microscopy. Salapaka has received prestigious awards including the ASME Fellow (2015), IEEE Senior Member (2020), and NSF CAREER Award (2005). His work integrates theoretical advancements in control theory with practical applications in energy systems, including inverters for microgrids and grid stability solutions. Recent research emphasizes scalable UAV path planning, maximum entropy principle frameworks for resource allocation, and robust control designs for dynamic systems. Collaborations span aerospace, mechanical, and electrical engineering disciplines, addressing challenges in renewable energy, autonomous systems, and manufacturing processes. Salapaka's publications highlight contributions to multi-agent systems, optimization under constraints, and real-time control architectures. His lab's activities involve developing novel control frameworks for high-speed microscopy and investigating fouling prediction in industrial heat exchangers using machine learning. Research trends reflect a balance between foundational control methodologies and their deployment in emerging technologies like advanced air mobility and smart grids.

Antonina TsvetkovaView profile

Associate Professor

• Supply Chain Management
• Sustainability
• Arctic Operations
• +4 more

Antonina Tsvetkova is an Associate Professor at the Faculty of Logistics, Molde University College (HiMolde), located in Kristiansund, Norway. Her research focuses on Arctic supply chain resilience, sustainability, and institutional dynamics in extreme environments. She collaborates with institutions like the University of Maryland’s Ernst Lab on membrane lipid analysis and OMV biogenesis in bacteria. Her work bridges theoretical frameworks like institutional logics with practical challenges in Arctic logistics, emphasizing social-ecological resilience and sustainable development. Key areas include offshore supply ecosystems, carbon capture technologies, and governance of marine resources. She has published extensively in journals like International Journal of Operations & Production Management and edited volumes on Arctic supply chain operations. Research Groups: Supply Chain Management Office: 3-A04-01, Kristiansund Campus Phone: +4771195855 Dr. Tsvetkova’s recent work explores tensions between value creation and value capture in Arctic supply chains, particularly involving indigenous reindeer herders. She advocates for aligning supply chain practices with UN Sustainable Development Goals, emphasizing ethical, environmental, and social dimensions. Her collaborative projects address disruptions in offshore logistics and digital technologies in logistics education. Notable contributions include analyzing Northern Sea Route regulation and the role of supply vessels in Arctic energy projects.

Arild HoffView profile

Professor

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +3 more

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

Jean-François CordeauView profile

Professor

• Logistics
• Transportation
• Combinatorial Optimization
• +3 more

Jean-François Cordeau is a Professor at HEC Montréal, holding the Chair in Logistics and Transportation. He is affiliated with the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Group for Research on Decision Analysis (GERAD). His expertise spans Logistics, Transportation, Combinatorial Optimization, and Mathematical Decomposition. Education: M.Sc. in Operational Research from HEC Montréal and Ph.D. in Engineering Mathematics from Polytechnique Montréal. Research focuses on logistics networks, transportation optimization, and stochastic modeling. Notable contributions include work on vehicle routing, hub network design, and supply chain planning. Recent publications address facility location under uncertainty, electric vehicle routing, and crowd-shipping optimization. Recipient of the Best Application Paper at the 10th IFAC Conference (2022) for a case study on optimizing routes for COVID-19 testers. Supervised 17 graduate students in recent years, including 3 PhD graduates and 14 MSc projects in logistics optimization and supply chain management. Teaches courses such as Optimization of Logistics and Transportation Networks and Planning and Control of Logistics Systems . Active in industry collaborations, contributing to maritime logistics, railway operations, and intermodal transportation solutions.