جستجوی استاد راهنمای دانشگاهی

Shashi Shekharمشاهده پروفایل

استاد

• Spatial Computing
• Spatial Data Science
• Spatial Data Mining
• +۳ مورد دیگر

Shashi Shekhar is a Professor at the University of Minnesota, holding the distinguished titles of McKnight Distinguished University Professor and Distinguished University Teaching Professor. He serves as the ADC/CSE Chair and Director of the AI-LEAF Institute within the Department of Computer Science at the College of Science and Engineering. His research interests span multiple areas of spatial computing including spatial data science, spatial data mining, spatial databases, Geo-AI, and Geographic Information Systems (GIS). His work has focused on developing scalable algorithms for eco-routing, evacuation route planning, and spatial pattern mining. He has made significant contributions to the field through his Spatial Databases textbook, the Encyclopedia of GIS which has seen over 192,918 downloads in 2017, and a spatial computing book for professionals. His research group has produced numerous PhD graduates dating back to 1993 through 2023. Analysis of his recent publications reveals a strong focus on applying spatial computing to critical societal challenges including climate change mitigation through the AI-LEAF Institute, pandemic response through mobility data analysis, and sustainable transportation through eco-routing algorithms. His work bridges theoretical advances in spatial data science with practical applications in urban planning, emergency management, and environmental sustainability. Distinguished McKnight University Professor Distinguished University Teaching Professor UCGIS Education Award (2015) Graduate Education Award (2015) President of University Consortium for GIS (2017-2018) Computing Research Association Board Member (2016-2019) Professor Shekhar has advised over 30 PhD students since 1993, with his most recent graduate in 2023. He has secured significant research funding including a $20 million AI Institute grant focused on climate-smart agriculture and forestry. His Spatial Computing Research Group maintains active collaborations with government agencies and industry partners. The group has developed practical applications featured in media outlets including FoxTV coverage of evacuation route planning algorithms. Current research directions include applying AI techniques to address climate challenges through the AI-LEAF Institute and advancing spatial data science for polar regions through NSF-funded initiatives.

• Supply Chain Management
• Operations Management
• Revenue Management
• +۶ مورد دیگر

Prasenjit Mandal is an Associate Professor in the Department of Information Systems, Supply Chain Management, and Decision Support at NEOMA Business School (France). He holds a PhD in Decision Sciences and Information Systems from the Indian Institute of Management (IIM) Bangalore. Previously, he served as an Assistant Professor of Operations Management at IIM Calcutta and worked as an Oracle ERP consultant at Tata Consultancy Services. His research focuses on supply chain finance, revenue optimization, multi-channel retail strategies, and strategic decision-making in supply chains. He has published in top journals like European Journal of Operational Research and IEEE Transactions on Engineering Management. He currently serves as a reviewer for multiple academic journals. Education: PhD in Decision Science and Information Systems, IIM Bangalore, India Oracle ERP Techno-Functional Certification Research Interests: Revenue Management in Retail & E-commerce Supply Chain Finance & Platform Financing Multi-channel Distribution Strategies Empirical Modeling of Supply Chain Trade-offs Strategic Decision-Making under Competition Key Contributions: His recent work explores platform financing models, strategic supplier financing choices, and omnichannel retail challenges. His research integrates optimization models with real-world operational scenarios to address supply chain complexities. Professional Experience: Current: Associate Professor, NEOMA Business School 2016-2019: Assistant Professor, IIM Calcutta 2012-2015: Oracle ERP Consultant, Tata Consultancy Services

Georges Zaccourمشاهده پروفایل

استاد

• Game theory
• New product diffusion
• Transportation and distribution of oil and gas products
• +۳ مورد دیگر

Georges Zaccour is a full Professor at HEC Montréal's Department of Decision Sciences and holds the Chair in Game Theory and Management. He is a member of the Group for Research in Decision Analysis (GERAD). His research focuses on game theory, operations research, environmental management, and quantitative marketing. He has published over 200 papers and co-authored influential books like *Differential Games in Marketing* and *Games and Dynamic Games*. He earned his M.Sc. and Ph.D. in Administration from HEC Montréal, and a Licence in Mathematics and Economics from Université Paris-Dauphine. Previously, he served as GERAD director and head of HEC's Marketing Department and PhD program. His work spans strategic interactions in supply chains, environmental policy, and dynamic games. He has advised 7 PhD students and 1 MSc student since 2020. He won the 2021 Grand Prix de recherche Pierre-Laurin from HEC Montréal and is a Royal Society of Canada Fellow. Teaching includes courses on pricing models and game theory applications. His grants come from NSERC and SSHRC. He is editor-in-chief of *Dynamic Games and Applications* and serves on editorial boards of several journals.

Jacob Leachmanمشاهده پروفایل

استاد

• Cryogenic Hydrogen
• Thermodynamic Properties
• Energy Systems
• +۳ مورد دیگر

Jacob Leachman is a Professor in the School of Mechanical and Materials Engineering at Washington State University (WSU) . He established the HYdrogen Properties for Energy Research (HYPER) laboratory in 2010, the first and only US academic lab focused on cryogenic hydrogen research. With a PhD in Mechanical Engineering (2010, University of Wisconsin-Madison), M.S. in Mechanical Engineering (2007, University of Idaho), and B.S. in Mechanical Engineering (2005, University of Idaho), his work bridges quantum mechanics and macro-scale energy applications. Academic Journey: University of Idaho (BS/MS), University of Wisconsin-Madison (PhD) Lab Leadership: HYPER Lab (2010–present), first cryogenic hydrogen lab in US academia Technical Contributions: NIST hydrogen standards, SAE J2601 fueling protocol, 3D-printed hydrogen tanks Research Interests center on leveraging hydrogen's quantum properties at cryogenic temperatures for energy systems. Key areas include: Cryogenic hydrogen thermophysical modeling and measurement Hydrogen fueling for aerospace and heavy-duty vehicles Para-orthohydrogen conversion for energy storage Leidenfrost dusting technology for space exploration Scientific Awards include: 2023 WSU Technology with an Impactful Contribution to Society Award 2023 R.B. Scott Award (Cryogenic Engineering Conference) 2021 NASA Artemis Award 2018 Roger W. Boom Award (Cryogenics Society of America) 2008 Western Association of Graduate Schools Distinguished Thesis Award Advising and Intellectual Contributions show his commitment to developing engineers through innovative pedagogy and mentoring. His lab has produced three National Science, Technology, Graduate Research Opportunities (NSTGRO) winners and trained students like Konstantin Matveev, Arezoo Zare, and Satyajit Mojumder. He co-authored Thermodynamic Properties of Cryogenic Fluids (Springer, 2017) and is completing Cool Fuel (Oxford, 2024). HYPER Lab Innovations include: Heisenberg Vortex technology for hydrogen dynamics H2-Flo thermal compression refueling station Cryogenic origami bellows for space applications World’s first 3D-printed liquid hydrogen tank

• Operations Research
• Combinatorial Optimization
• Artificial Intelligence
• +۳ مورد دیگر

Omar Rifki is an Associate Professor (Maître de Conférences) specializing in combinatorial optimization and artificial intelligence applications. His research bridges theoretical computer science with practical logistics challenges, focusing on routing problems, process mining, and machine learning integration for complex decision systems. His core research interests include phase transitions in NP-hard problems, vehicle routing optimization under time constraints, and healthcare process modeling. Rifki's work demonstrates a consistent pattern of integrating reinforcement learning with traditional optimization techniques to solve large-scale real-world problems in transportation and logistics, with particular emphasis on spatio-temporal data effects and collaborative systems. Analysis of his 15 publications (2019-2025) reveals three dominant research thrusts: (1) Fundamental studies of combinatorial problem hardness using phase transition frameworks, (2) Practical applications of deep reinforcement learning in vehicle routing and taxi assignment, and (3) Healthcare process optimization through advanced process mining techniques. His work consistently addresses scalability challenges in real-world implementations while maintaining theoretical rigor. No scientific awards were documented in the provided materials. His collaborative work with researchers like Christine Solnon and Thierry Garaix indicates active participation in European operations research communities, though specific grant details remain unreported. Rifki's research shows increasing integration of graph theory and machine learning in transportation applications, particularly evident in his Lyon City case studies on autonomous ride-sharing systems.

James B. Orlinمشاهده پروفایل

استاد

• Network Optimization
• Combinatorial Optimization
• Transportation
• +۷ مورد دیگر

James B. Orlin is the E. Pennell Brooks (1917) Professor in Management and a Professor of Operations Research at the MIT Sloan School of Management. He specializes in network and combinatorial optimization with applications spanning transportation, computer science, operations, and marketing. BA in Mathematics, University of Pennsylvania MA in Mathematics, California Institute of Technology MMath, University of Waterloo PhD in Operations Research, Stanford University His research focuses on designing efficient algorithms for network optimization problems, including shortest path, max flow, and min cost flow. He has contributed to algorithmic theory in logistics, telecommunications, and inventory management, with work on stochastic demand models and data-driven inventory policies. Recent publications include advancements in directed shortest path algorithms, robust submodular function maximization, and energy storage problem complexity. His seminal textbook Network Flows: Theory, Algorithms, and Applications (1993) remains a foundational reference. Leonard G. Abraham Prize Khachiyan Prize Test of Time Award As a mentor, he has advised numerous researchers through collaborative publications and teaching. His work addresses both theoretical algorithm development and practical implementation across diverse domains including airline scheduling, logistics, and network design.

Remco M. Dijkmanمشاهده پروفایل

استاد

• Business Process Management
• Data-Driven Process Optimization
• Supply Chain Management
• +۳ مورد دیگر

Remco M. Dijkman serves as Full Professor in Information Systems at Eindhoven University of Technology (TU/e), chairing the Information Systems group within the Industrial Engineering and Innovation Sciences school. He additionally holds a Full Professor position at EAISI High Tech Systems and acts as research director for high-tech supply chains at the European Supply Chain Forum—a network of over 50 multinational companies. His research centers on Business Process Management with emphasis on data-driven optimization of business processes. His academic background includes both PhD and Master's degrees in Computer Science from the University of Twente. Publications span Information Systems, Computers in Industry, and Transactions on Software Engineering and Methodology, with over 100 papers and service on the editorial board of Information Systems. He has held visiting positions at New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology. Dijkman's research interests focus on detecting, diagnosing, and predicting optimal execution scenarios in business processes, developing mathematical models for quantitative process analysis , and resource assignment optimization . These are primarily applied in transportation logistics and high-tech supply chains, where he investigates data-driven predictions for transport order assignment and supply chain planning. His work bridges artificial intelligence with practical business applications. Recent publications (2024-2025) reveal concentrated efforts in deep reinforcement learning for resource allocation, process pattern discovery, and software library development (GymPN, SimPN). Key trends include predictive process monitoring for healthcare applications, event data enrichment frameworks, and uncertainty handling in logistics planning—demonstrating strong interdisciplinary integration. Scientific recognition includes: Best Demo Award (2019) Best Reviewer Award (2016) Test of Time Award (2019) He has supervised 150 students, including Lotte Vugs who received the Dow Chemical Best OML Master Thesis Award in 2020. Grant leadership spans eight projects: NXTGEN Smart Industry (2023-2030), CollChain (2023-2029), CERTIF-AI (2020-2025), FENIX (2019-2023), and DynaPlex (2021-2024), focusing on digital twins, federated networks, and AI-driven supply chain solutions. Dijkman directs the Information Systems group at TU/e and leads the European Supply Chain Forum's high-tech supply chain research. His work integrates with semiconductor manufacturing and transportation logistics through collaborations with industry partners, while his 2023 invited talks at Technical University of Munich and Humboldt University Berlin highlight his international engagement.

Bruce Saxmanمشاهده پروفایل

مدرس ارشد

• Outdoor Education
• Adventure Education
• Experiential Learning
• +۳ مورد دیگر

Bruce Saxman is a Senior Lecturer in Adventure Education at Fort Lewis College, where he coordinates the interdisciplinary Fort Lewis on the Water (FLOW) program. With over two decades of experience in outdoor education, he has held administrative and teaching roles at multiple institutions, developing competency-based training systems and adventure curriculum. Education: M.A. in Recreation Administration, University of Nebraska-Omaha B.S. in Parks, Recreation, and Tourism Management (Resource Management Emphasis) with Anthropology Minor, Clemson University Research Interests focus on outdoor education methodology , adventure program administration , and experiential learning systems . His work explores digital education platforms, risk management protocols, and leadership development frameworks in outdoor settings. Professional Affiliations include the American Institute for Avalanche Research and Education (AIARE), American Canoe Association (ACA), and American Mountain Guides Association (AMGA). His publications address technical training systems, program development, and safety innovations in adventure education.

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +۳ مورد دیگر

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

• Software Engineering
• Requirements Engineering
• Embedded Systems
• +۲ مورد دیگر

João Miguel Lobo Fernandes is a Full Professor at the Department of Informatics, School of Engineering, University of Minho. He holds a 5-year degree in Informatics Engineering (1991), a Master's in Informatics (1994), and a Ph.D. in Informatics/Computer Engineering (2000) from Universidade do Minho, with a thesis on An object-oriented methodology for embedded systems development . Research interests: Software Modeling, Requirements Engineering, Embedded Software, Software Process, Bibliometrics International collaborations: University of Bristol, Turku Centre for Computer Science (Finland), Aarhus University (Denmark), Universidade Federal de Santa Catarina (Brazil), and others Key projects: iFlow and DIABO logistics platforms (awarded by APLOG) His 160+ peer-reviewed publications focus on software methodologies, embedded systems, and industry collaborations. Recent work includes applications of machine learning in automotive software, feature modeling, and remote work impact studies. He serves on editorial boards for Journal of Information Technology Research and Open Computer Science . 2016 & 2022 Logistics Excellence Awards (APLOG) Organized international events: ACSD, DIPES, GTTSE, PETRI NETS, ICSOB, MOMPES As an academic leader, he directed the 5-year Systems and Informatics Engineering degree (2004-06), Master's in Informatics Engineering (2011-12), and served on Scientific Council of the School of Engineering (2013-16).

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Graphs
• Ontology Reasoning
• +۷ مورد دیگر

Axel Polleres is a full professor at the Institute for Data, Process and Knowledge Management in Vienna University of Economics and Business (WU Wien). He leads the department of Information Systems and Operations Management while maintaining active research in knowledge graphs, semantic web technologies, and ontology engineering. PhD and Habilitation from Vienna University of Technology Former positions at University of Innsbruck, Universidad Rey Juan Carlos, DERI Ireland, and Siemens AG Co-chair of W3C SPARQL working group Editorial board member for Semantic Web Journal and IJSWIS His research focuses on: Querying and reasoning over ontologies Graph schema languages (SHACL, SPARQL) Wikidata constraint formalization Ontology reuse in collaborative platforms Crisis management knowledge graphs FAIR data principles implementation Recent publications analyze knowledge graph evolution, constraint validation methodologies, and semantic web standardization efforts. Key topics include: OWL/RDF interoperability solutions Unit conversion systems for Wikidata Partition-based query processing frameworks Network resilience analysis for urban planning Open data platform discovery tools Temporal analysis of collaborative knowledge graphs He has co-organized major conferences like ISWC2023 and ESWC workshops while maintaining active roles in European research projects. Current work involves spatiotemporal knowledge graphs for city resilience and semantic web infrastructure development.

Niels Henrik Mortensenمشاهده پروفایل

استاد

• Product Architecture
• Modularization
• Maintenance Performance
• +۳ مورد دیگر

Niels Henrik Mortensen is a Professor and Head of Section in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU). His research focuses on engineering design and manufacturing systems, with emphasis on product architecture, modularization, maintenance performance, and AI-driven design solutions. He leads initiatives in engineer-to-order systems, lifecycle costing, and digital transformation in manufacturing. Key research interests include optimizing product architectures for modular systems, enhancing maintenance strategies through data analytics, and applying AI to improve CAD design reuse. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure, and sustainable energy systems. Supervisor for 5 active PhD projects focused on modular architectures, logistics services, and configuration systems Published 175+ peer-reviewed articles, including work on AI-based maintenance frameworks and configurator development Recipient of industry collaboration projects with offshore energy and manufacturing sectors Notable contributions include frameworks for maintenance performance diagnostics and adaptable configuration models. His team operates through MEK and CONSTRUCT research groups at DTU.

Hendro Wicaksonoمشاهده پروفایل

استاد

• Data-Driven Approaches
• Causal AI
• Explainable AI
• +۵ مورد دیگر

Prof. Hendro Wicaksono is a Professor of Data-Driven Industrial Systems at the School of Business, Social & Decision Sciences, Constructor University Bremen gGmbH. His expertise lies in applying AI and data-driven methods to enhance decision-making in complex industrial systems. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (Germany) and M.Sc./B.Sc. degrees from German and Indonesian institutions. Research Interests : Focuses on causal AI, explainable AI, digital twins, sustainable industrial systems, and smart cities. His work integrates machine learning with domain-specific challenges in supply chains and energy management. Projects : Led over 10 funded projects including Delfine (accelerating energy transition), Talenta (digital asset management), and xAgri (agri-food supply chain analytics). Collaborates with global partners like Stadtwerke Trier and JetBrains. Teaching : Courses include Data Management in Industry 4.0, Production Planning, and Smart Cities. Recently on sabbatical in Spring 2023. Students : Supervises 20+ PhD/Master students researching topics like causal ML in software projects, EV adoption modeling, and blockchain logistics. Affiliations : Visiting Professor at University of Exeter, Adjunct Professor at Sebelas Maret/Airlangga Universities (Indonesia), and Academic Leader at Bandung Institute of Technology.

William Eiseleمشاهده پروفایل

پژوهشگر

• Transportation Planning
• Access Management
• Urban Development Impacts
• +۴ مورد دیگر

William (Bill) Eisele serves as a Senior Research Engineer and Program Manager at Texas A&M University's Department of Landscape Architecture & Urban Planning. His work focuses on transportation systems, freight mobility, and urban development impacts. Eisele holds a Ph.D. (Civil Engineering, Texas A&M, 2001), M.S. (Civil Engineering, Michigan State, 1994), and B.S. (Civil Engineering, Michigan State, 1993). Research Interests: Dr. Eisele’s expertise spans Transportation planning and access management, Freight mobility optimization, Congestion monitoring, Transportation system performance measurement, Urban land development impacts, Sustainable infrastructure design. Recent Work Trends: His publications emphasize data-driven solutions for freight challenges, including truck parking behavior, cargo consolidation, and port fluidity. Recent studies apply machine learning to predict driver route choices and evaluate real-time mobility tools. He also explores historical trends in urban freight logistics to guide future innovations. Grants & Advising: While no specific grants or advisees are listed, his extensive publications reflect collaborative work with institutions like the Texas A&M Transportation Institute. He has contributed to statewide programs like Oregon’s operations performance measures and Maryland’s freight fluidity initiatives. Labs/Teams: His affiliations suggest involvement with interdisciplinary teams focusing on transportation systems, though specific lab names are not mentioned in the source text.

Erdinç Altuğمشاهده پروفایل

استاد

• Unmanned Aerial Vehicles (UAVs)
• Quadcopter Design
• Flight Control Systems
• +۵ مورد دیگر

Erdinç Altuğ serves as a Professor in the Department of Mechanical Engineering at Istanbul Technical University, specializing in advanced aerial robotics and control systems. His work bridges theoretical control methodologies with practical UAV applications. Research interests focus on Unmanned Aerial Vehicle design and fault tolerance Quadcopter dynamics and vertical takeoff systems Adaptive control for parametric variations Rapid prototyping of hybrid VTOL platforms His recent publications demonstrate consistent innovation in autonomous flight systems, particularly in fault-tolerant operational modal analysis and modular multi-drone configurations. Current projects include: Hibrit İnsansız Hava Aracı Ile Otonom Teslimat Sistemi Geliştirilmesi (TUBITAK, 2020-2022) Mini Jet Motorlu Dikine Kalkıp İnebilen Otonom Taşıyıcı Robot Geliştirilmesi (TUBITAK, 2018-2021) Kampüs içi ve bina içi ortamlarda çalışacak otonom taşıma aracı algoritmaları (SRP, 2018-2021) Supervising 26 graduate works, his research impacts both academic and industrial UAV development.