Find Academic Supervisors

Mohammad Moshref JavadiView profile

Assistant Professor

• Supply Chain Management
• Logistics and Operations
• Healthcare Operations
• +3 more

Mohammad Moshref Javadi is a Teaching Assistant Professor of Business Administration and Director of the Illinois Supply Chain Management Corporate Affiliates Program and Deloitte Scholar at the Gies College of Business, University of Illinois Urbana-Champaign. His expertise focuses on supply chain management, logistics optimization, and the integration of advanced technologies into operational systems. He holds a strategic role in academic administration, bridging industry partnerships through the Corporate Affiliates Program. Research interests revolve around resilient supply chains, drone-enabled logistics, and pandemic-driven operational challenges. He explores how emerging technologies like drones and IoT enhance delivery efficiency and crisis response. His work addresses real-world problems in last-mile delivery, disaster relief logistics, and consumer behavior shifts during crises. Recent publications analyze pandemic impacts on healthcare and retail operations, drone routing optimization, and supply chain resilience strategies. While no specific awards or grants are listed, his academic contributions emphasize practical solutions for modern logistics challenges. He teaches courses integrating theoretical frameworks with industry applications, fostering the next generation of supply chain leaders.

• Transportation Engineering
• Disaster Management
• Machine Learning
• +7 more

Satish Ukkusuri is the Hubert and Audrey Kleasen Professor in Civil Engineering at Purdue University's College of Engineering, with a courtesy appointment in the Department of Computer Science. His research focuses on disaster resilience, transportation networks, machine learning, and socio-physical systems. He leads the Urban Mobility Networks & Intelligent Logistics (UMNIL) lab, developing innovative solutions for urban challenges through interdisciplinary approaches. Key affiliations include the Global Engineering Program and Civil and Construction Engineering department. His work integrates agent-based modeling, graph neural networks, and data-driven methodologies to address issues like post-disaster recovery, electric vehicle adoption, and smart mobility systems. He has pioneered tools such as the Mobilkit Python toolkit for urban resilience analytics using mobility data. Research interests span transportation engineering, urban planning, and complex systems modeling. His recent publications emphasize machine learning applications in transportation networks, hurricane evacuation dynamics, and resilient infrastructure design. He actively explores interdisciplinary topics like mobility-as-a-resource frameworks and multi-agent reinforcement learning for traffic management. No formal grants or awards are explicitly listed in the provided texts, though his leadership roles and prolific publication record indicate significant academic contributions. His advising and mentorship activities are not detailed here, but his lab’s work suggests involvement in training researchers across civil engineering and computer science disciplines. Labs/Teams: Leads the UMNIL lab (https://umnilab.github.io/), focused on advancing urban mobility and intelligent logistics through data science and systems engineering.

Steve BoylesView profile

Assistant Professor

• Traffic Assignment
• Network Modeling
• Dynamic Traffic Assignment
• +4 more

Dr. Steve Boyles is an Assistant Professor at The University of Texas at Austin's Department of Civil, Architectural, and Environmental Engineering within the Cockrell School of Engineering. He specializes in traffic assignment and network modeling, focusing on static and dynamic systems. His research explores efficient solution algorithms, equilibrium properties, and applications in congestion pricing, network design, and infrastructure management. His work integrates operations research techniques to address transportation challenges such as vehicle routing. Funding sources include the National Science Foundation, Texas Department of Transportation, Wyoming Department of Transportation, and the Mountain-Plains Consortium. Collaborations with these organizations highlight his applied research impact. He is affiliated with the Center for Transportation Research at UT Austin. No specific awards or articles are listed in the provided data, but his research portfolio emphasizes methodological advancements and real-world policy applications.

Ying ChenView profile

Assistant Professor

• Data Science
• Transportation Systems
• Machine Learning
• +3 more

Dr. Ying Chen is an Assistant Professor of Instruction in the Department of Civil and Environmental Engineering at Northwestern University's McCormick School of Engineering. Her research focuses on developing data science methodologies for transportation challenges, specializing in machine learning applications for network optimization and smart city systems. She earned her Ph.D. in Civil Engineering and M.S. in Computer Science from Northwestern University, with industry experience as a lead data scientist enhancing real-world system implementations. Her research explores: Machine learning algorithms for transportation efficiency Driver behavior analysis in evolving mobility landscapes Smart city infrastructure optimization Social network influences on mobility choices Sustainable urban transport solutions Recent publications demonstrate strong focus on machine learning applications in urban mobility, bike-sharing systems, and pandemic-related transportation behavior changes. Article themes cluster around predictive modeling, network optimization, and behavioral analysis using advanced computational techniques. Dr. Chen directs the MOVING DATA research lab, investigating AI/ML applications for urban systems. The lab focuses on data visualization, mining, and modeling techniques to understand city functions and citizen responses to technological innovations.

Karen SmilowitzView profile

Professor

• Humanitarian Logistics
• Operations Research
• Transportation Systems
• +4 more

Karen Smilowitz is the James N. and Margie M. Krebs Professor of Industrial Engineering and Management Sciences at Northwestern University's McCormick School of Engineering and Applied Science, and a Professor of Operations at the Kellogg School of Management. Her research focuses on optimizing logistics systems, including nonprofit operations, humanitarian logistics, and transportation networks, with a strong emphasis on equity and efficiency. She holds a Ph.D. from the University of California, Berkeley, and has advised numerous graduate students and post-doctoral researchers in these fields. Education: B.S.E. in Civil Engineering and Operations Research from Princeton University (1995) M.S. and Ph.D. in Civil and Environmental Engineering from UC Berkeley (1998, 2001) Research Interests: Nonprofit operations, transportation systems, humanitarian logistics, and equity in logistics design. She explores how operational flexibility enhances system efficiency while addressing challenges in complex networks. Grants & Awards: Notable contributions include work on vaccine distribution, disaster relief routing, and volunteer management. Her research often bridges academic rigor with real-world applications, such as optimizing school bus scheduling and improving healthcare access. Advising: Supervised over 20 graduate students and post-docs, many of whom have won awards for their work in humanitarian logistics and health systems. Lab & Collaborations: Leads interdisciplinary projects on school district design, illicit pharmaceutical tracking, and community healthcare networks. Collaborates with organizations like Lurie Children's Hospital and the Culverhouse College of Business.

• Renewable Energy Integration
• Smart Grids
• Microgrids
• +5 more

Professor Jahangir Hossain is a leading academic in electrical and energy systems at the University of Technology Sydney (UTS), where he holds a Professorship in the School of Electrical and Data Engineering since January 2022. Previously, he served as an Associate Professor at UTS (2019–2023), Macquarie University (2016–2019), and Griffith University (2012–2016). His career includes roles as a Senior Lecturer, Lecturer, and Research Fellow at various Australian institutions, alongside academic positions at Rajshahi University of Engineering and Technology in Bangladesh (2005–2011). He earned a B.Sc. (2001) and M.Sc. (2005) in Electrical and Electronic Engineering from Rajshahi University, followed by a Ph.D. (2010) from the University of New South Wales. He also holds a Graduate Certificate in Higher Education from Griffith University (2014). His research focuses on renewable energy integration, microgrids, smart grids, electric vehicles, and energy storage systems. He has led numerous funded projects, including Horizon Europe initiatives and industry collaborations. Teaching responsibilities include courses like Introduction to Sustainable Microgrids and Electrical Power and Energy Systems Studio . His work emphasizes practical solutions for energy resilience, sustainability, and grid modernization. Notable grants include projects on AI-driven grid systems, hydrogen storage, and community microgrid design. His research outputs span over 400 publications, addressing challenges in energy management, cybersecurity, and renewable integration.

Shen WangView profile

Assistant Professor

• Artificial Intelligence
• Computer Networking
• Big Data Processing
• +5 more

Dr. Shen Wang is an Assistant Professor (Tenured) at the School of Computer Science, University College Dublin, Ireland. He holds an M.Eng. from Wuhan University and a Ph.D. from Dublin City University. As an academic co-director of Netslab and a member of the UCD Earth Institute, his research focuses on explainable AI, connected autonomous vehicles, and cybersecurity in telecommunications. He has led EU projects like the Horizon 2020 SPATIAL initiative and collaborates with industry partners such as IBM Research Brazil and Boeing. His teaching roles include coordinating modules like Programming for Big Data and Leadership in Security. He advises PhD students on topics like federated learning and autonomous systems. Notable awards include the IRC Postgraduate Scholarship (2021) and recognition for transport resilience research. His work bridges AI, edge computing, and blockchain for future networks and smart mobility.

Johanna AmayaView profile

Assistant Professor

• Disaster Response Logistics
• Urban Freight Systems
• Resilient Supply Chains
• +3 more

Johanna Amaya is an Assistant Professor in Supply Chain & Information Systems at the Smeal College of Business, Pennsylvania State University. She previously served as faculty at Iowa State University and holds a PhD in Transportation Engineering from Rensselaer Polytechnic Institute (2016). Her expertise spans disaster response logistics, urban freight systems, and resilient supply chains. PhD: Transportation Engineering, Rensselaer Polytechnic Institute (2016) M.Sc.: Industrial and Systems Engineering, University of Florida (2009) B.S.: Industrial Engineering, Universidad del Norte (2002) Her research focuses on optimizing disaster relief logistics and urban freight infrastructure. Key themes include post-disaster resource allocation, urban last-mile delivery challenges, and stakeholder engagement in policy-making. She actively contributes to initiatives like the POMS College of Humanitarian Operations and Crisis Management, where she serves as President. Recent work highlights include analyzing consumer attitudes toward pandemic-era retail strategies, modeling urban parking policies, and exploring trust dynamics in disaster response. Her publications bridge theoretical models with real-world applications in both developed and emerging markets. No scientific awards explicitly mentioned in the provided text. Current roles include advising on supply chain resilience projects and collaborating with global agencies on disaster preparedness frameworks. She is also involved in interdisciplinary research to address e-commerce’s impact on urban logistics.

Xu ZhangView profile

Lecturer

• E-Mobility
• Autonomous Valet Parking
• Unmanned Aerial Vehicles
• +4 more

Dr. Xu Zhang serves as a Lecturer in Computing Sciences at the University of East Anglia's School of Computing Sciences, where she joined in 2023. She actively contributes to the Cyber Intelligence and Networks and Data Science and AI research groups while supervising PhD candidates in transportation and communication systems. Her academic foundation includes a BEng and MSc in telecommunication engineering from Xidian University and University of Science and Technology Beijing, followed by a PhD in electrical engineering from the University of Surrey (2015). Prior to UEA, she accumulated significant industry and academic experience in China. Dr. Zhang's research bridges transportation electrification and next-generation networking, with core expertise in E-Mobility infrastructure, Autonomous Valet Parking systems, UAV delivery networks, and 5G/6G-enabled VANETs. Her work addresses critical challenges in real-time control, security vulnerabilities, and energy management within smart mobility ecosystems. Her 2025 publications reveal a cohesive research trajectory integrating charging infrastructure with autonomous systems, emphasizing security against cyber threats and spatial optimization in urban environments. Key themes include battery swapping reliability, air-ground delivery coordination, and resilient charging network design. As principal investigator for the Royal Society-funded project 'Towards Information-Centric Charging Management based E-Mobility' (2025-2027), she leads research on next-generation e-mobility systems. She actively recruits PhD students through CSC scholarship opportunities and UEA funding channels. Within UEA's research ecosystem, she collaborates through the Cyber Intelligence and Networks group and Data Science and AI cluster, focusing on practical implementations of communication technologies for sustainable transportation solutions.

Mohammad MarufuzzamanView profile

Associate Professor

• Supply Chain Optimization
• Renewable Energy Systems
• Stochastic Programming
• +7 more

Mohammad Marufuzzaman is an Associate Professor and Department Head in the Department of Industrial & Systems Engineering at Mississippi State University (MSU), holding the Charles R. Stephenson Endowed Professorship. He joined the faculty in 2014 as a Visiting Assistant Professor before advancing to his current role. His research focuses on supply chain optimization with applications in renewable energy, stochastic programming, decomposition methods, and risk management. Dr. Marufuzzaman holds a Ph.D. in Industrial & Systems Engineering from MSU (2014), an MASc in Industrial Systems Engineering from the University of Regina, Canada (2010), and a B.Sc. in Industrial & Production Engineering from Shah Jalal University of Science & Technology, Bangladesh (2006). His work bridges theoretical optimization techniques with practical applications in energy systems, disaster logistics, and sustainable infrastructure. His research interests span renewable energy supply chains, large-scale network design, and resilience engineering. Notable contributions include predictive models for wood chip moisture content using machine vision, disaster response frameworks for hurricane-impacted regions, and optimization models for electric vehicle infrastructure. His publications appear in leading journals such as Transportation Science and Computers & Operations Research . Dr. Marufuzzaman is a member of INFORMS and IIE. His recent work emphasizes interdisciplinary solutions for complex systems, including military base modernization, marine debris management, and IoT-enabled energy systems. He has developed novel algorithms for stochastic optimization problems and contributed to policy-relevant research on biomass energy utilization in rural regions.

Jochen GönschView profile

Professor

• Operations Research
• Revenue Management
• Logistics
• +5 more

Prof. Jochen Gönsch is a full professor at the University Duisburg-Essen, leading the Service Operations department within the Faculty of Management Science and Mathematics. His expertise spans operations research, revenue management, and logistics. He completed his PhD at the University of Augsburg in 2010 and earned his Habilitation there in 2015. He has collaborated with companies like Daimler and Lufthansa, applying quantitative methods to solve service-sector challenges. His research emphasizes risk-averse optimization, dynamic pricing, and mobility systems, addressing issues like remanufacturing and renewable energy. He received the Logistics Science Award from BVL and co-founded the GOR Analytics working group. Teaching focuses on analytical methods for service operations, integrating practical relevance with active learning. Research highlights include optimizing shared mobility systems, maintenance scheduling, and energy storage strategies. His work bridges academic rigor with industry applications, often leveraging partnerships to refine models for real-world impact.

Alf KimmsView profile

Professor

• Operations Research
• Logistics and Supply Chain Management
• Revenue Management
• +6 more

Prof. Alf Kimms is a full professor at the University of Duisburg-Essen, holding the chair of Logistics and Traffic Management. He previously served as a full professor at the Technical University of Freiberg (2001–2006). His research focuses on applying operations research methods to logistics, supply chain optimization, revenue management, and evacuation planning. He earned his Ph.D. in Business Administration from the University of Kiel (1996) and his postdoctoral lecturer qualification (2001), both focusing on project management and production scheduling. Kimms' academic career is marked by contributions to high-impact journals such as European Journal of Operational Research and Annals of Operations Research . He has led projects for companies like Bayer, Lufthansa, and DaimlerChrysler, emphasizing practical applications of optimization. A 2005 Handelsblatt ranking placed him among Germany’s top ten business administration professors. He actively participates in professional societies, including the German OR Society (GOR), where he founded the Revenue Management working group. His research spans network design, disaster response logistics, cooperative game theory, and airline alliance strategies. Notable projects include evacuation modeling for urban areas and revenue management frameworks for broadcasting industries. Kimms reviews for the German Research Foundation (DFG) and serves on international conference committees, balancing academic rigor with industry collaboration.

Michael SchreckenbergView profile

Professor

• Transportation Engineering
• Traffic Simulation
• Statistical Physics
• +3 more

Professor Michael Schreckenberg is a faculty member at the University of Duisburg-Essen, holding the first German professorship in Physics of Transport and Traffic since 1997. His research focuses on large-scale transportation systems modeling, simulation, and optimization, particularly road traffic dynamics and human behavior impacts. He leads projects like autobahn.NRW and RuhrPilot , which integrate real-time traffic data into simulations for forecasting and network analysis. His work extends to pedestrian dynamics and evacuation modeling, including applications for passenger ships. Education: Earned a PhD in statistical physics from the University of Cologne (1985) after studying theoretical physics there. Joined the University of Duisburg-Essen in 1994. Research Interests: Traffic flow modeling (e.g., Nagel-Schreckenberg cellular automata), human factors in ITS, synchronized traffic patterns, and evacuation simulations. Recent studies address automated vehicles, mixed traffic systems, and spatiotemporal traffic correlations. Key Projects: Online traffic forecasting in North Rhine-Westphalia Analysis of driver reactions to traffic information Crowd behavior during emergencies Labs & Tools: Founded the Physics of Transport and Traffic department at UDE, develops simulation tools like CAMAT for airport ground traffic and FAST for pedestrian evacuation.

• Mathematical Optimization
• Nonlinear Optimization
• Mixed-Integer Optimal Control
• +3 more

Christian Kirches is a full professor at the Institute for Mathematical Optimization within the Carl-Friedrich-Gauß-Fakultät (Faculty of Mathematics, Technische Universität Braunschweig). His research focuses on nonlinear optimization , mixed-integer optimal control , and robust optimization for dynamic systems. He was awarded the Klaus-Tschira prize (2011) for public science communication and the Hengstberger prize (2014) for junior researchers, and received an ERC Consolidator Grant (2022) for his work on optimization under uncertainty. Alumni of Heidelberg University (Diploma, Doctorate, Habilitation) Former resident associate at Argonne National Laboratory and postdoctoral appointee at the University of Chicago Leader of a junior research group (2013–2017) at Heidelberg University His recent publications highlight advancements in mixed-integer nonlinear programming , real-time control systems , and optimization for sustainable energy and transportation . He collaborates with researchers on projects like wind farm control, hydrogen aviation networks, and chromatography process optimization. His methodological work on sum-up rounding , trust-region algorithms , and combinatorial integral approximation has been published in journals such as SIAM Journal on Optimization, Mathematical Programming, and IEEE Control Systems Letters. Kirches also serves as area coordinator for Optimization Online and was associate editor for OR Spectrum (2022–2024). Scientific Awards: Klaus-Tschira Prize (2011) Hengstberger Prize (2014) ERC Consolidator Grant (2022) He is an elected member of the COIN-OR initiative and contributes to open-source optimization software. His lab at TU Braunschweig develops algorithms for dynamic systems under uncertainty, with applications in energy management, autonomous traffic, and industrial processes.

Sebastian StillerView profile

Professor

• Optimization
• Operations Research
• Algorithmic Game Theory
• +5 more

Prof. Dr. Sebastian Stiller is a Professor at the Institute for Mathematical Optimization within the Carl-Friedrich-Gauß-Fakultät at Technische Universität Braunschweig. His research focuses on optimization, operations research, algorithmic game theory, quantum computing, and transportation science. He leads projects funded by DFG and BMBF, including 'SOAP' for air transport optimization and 'HyNEAT' for hydrogen supply networks in aviation. He teaches courses such as Linear Algebra, Algorithmic Game Theory, and Quantum Algorithms in both German and English. His research spans robust optimization, vehicle routing, and quantum algorithm development. Notable projects include optimizing wind farm control systems and analyzing quantum computing's potential for solving linear programming challenges. He collaborates with industry partners like 4flow AG and GAMS Software GmbH, emphasizing practical applications of his theoretical work. Teaching responsibilities include foundational mathematics courses for data science and engineering students, as well as advanced seminars on optimization. His contributions to operations research have been published in top-tier journals like Operations Research and Transportation Science.