جست‌وجوی استاد و پژوهشگر

Dean Chatfieldمشاهده پروفایل

دانشیار

• Supply Chain Management
• Business Simulation
• Operations Management
• +۳ مورد دیگر

Dean Chatfield is an Associate Professor in the Department of Information Technology & Decision Sciences at Old Dominion University , where he teaches and conducts research in supply chain management and simulation modeling. Education: Ph.D. in Management Science and Information Systems, Pennsylvania State University (2001) M.S. in Management Information Systems, Pennsylvania State University (1993) M.B.A. in Finance, Pennsylvania State University (1991) B.S. in Management Systems, Rensselaer Polytechnic Institute (1989) Research Interests focus on supply chain dynamics and inventory system optimization , particularly examining phenomena like the Bullwhip Effect , stockout propagation , and risk amplification in multi-echelon systems. His work employs discrete-event simulation and agent-based modeling to develop decision support frameworks for complex supply chain scenarios, including cascading failures and stochastic lead times. Representative Publications include simulation studies on network characteristics affecting supply chain resilience (International Journal of Production Economics, 2020), crossover-aware inventory policies (Transportation Research Part E, 2018), and quantifying information-sharing impacts on demand amplification (Production and Operations Management, 2004). His research has secured over $834,238 in grants , including a $551,438 NSF CAREER award for simulation-based inventory modeling. Scientific Honors: 2005 Best Application Research Paper, Decision Sciences Institute Grants address technology gaps in transportation logistics and mathematical frameworks for service-driven systems. He has developed specialized simulation tools like SISCO and SCML to support industry applications.

Nezih Altayمشاهده پروفایل

استاد

• Humanitarian Supply Chains
• Disruption Management
• After-Sale Service Operations
• +۴ مورد دیگر

Nezih Altay serves as Professor and Director of the MS in Supply Chain Management Program within the Department of Management & Entrepreneurship at DePaul University's Driehaus College of Business. He maintains international research affiliations as a Resilience Research Fellow at Delft University of Technology and research partner at Kühne Logistics University's Research Institute on Leadership and Operations in Humanitarian Aid, while continuing his relationship with Hanken School of Economics as a HumLog Institute Research Affiliate. His academic credentials include: PhD in Operations Management, Texas A&M University (2001) MBA, University of Texas Pan American (1996) BS in Chemical Engineering, Bogazici University, Turkey (1993) Altay's research centers on humanitarian supply chains, disruption management, and after-sale service operations, addressing critical challenges in disaster response systems and vulnerable population support. His work bridges theoretical operations management with practical humanitarian applications, emphasizing resilience building and ethical considerations in crisis contexts through frameworks like coping strategies and ambidextrous organization design. Recent publications (2022-2025) show intensified focus on pandemic resilience, migrant flow logistics, and generative AI applications for social good, while maintaining core themes in disruption management and humanitarian innovation. His research increasingly integrates advanced analytics with field-based evidence from crises in Turkey, Greece, Kenya, and Ethiopia. Major recognitions include: Academic/Research Accomplishment Award from American Logistics Aid Network (ALAN) (2019) Fulbright-Hanken Chair in Business and Economics (2021) Altay has directed DePaul's MS in Supply Chain Management program while teaching executives, MBA, and undergraduate students since 1999. His Fulbright Grant enabled significant collaboration with HumLog Institute, and editorial leadership includes co-editor-in-chief of the Journal of Humanitarian Logistics & Supply Chain Management and senior editor of Production and Operations Management. International research partnerships drive his work through Delft University's resilience initiatives, Kühne Logistics University's leadership institute, and Hanken's HumLog Institute, creating a global network for humanitarian operations research with field studies across multiple continents.

• Forest Carbon Management
• Sustainable Forest Management
• Remote Sensing in Forestry
• +۵ مورد دیگر

Mathias Neumann is an Assistant Professor at the Institute of Forest Management within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). His research focuses on Forest Ecosystem Management with a specific emphasis on sustainable Carbon management in forests. Dr. Neumann leads multiple research projects including 'Totholzzersetzung in Zentraleuropäischen Wäldern' (Deadwood decay in Central European forests) and 'OPTimising FORest management decisions for a low-carbon, climate resilient future in EUrope'. Dr. Neumann's research interests span forest carbon dynamics, sustainable forest management, remote sensing applications in forestry, climate change impacts on forest ecosystems, deadwood decay processes, and wildfire risk assessment. His work integrates field measurements with modeling approaches to understand carbon allocation in forest ecosystems, forest productivity under changing climate conditions, and the development of sustainable management practices that enhance forest resilience and carbon sequestration capacity. His recent publications demonstrate a clear focus on understanding forest carbon cycles, developing methods for assessing forest carbon sinks, modeling forest responses to climate change, and evaluating sustainable management practices. The research trends show increasing emphasis on integrating multiple data sources to create comprehensive forest ecosystem models that can inform climate-resilient forest management decisions across Europe. Förderpreis Fonds 120 Jahre Universität für Bodenkultur (2020) Thurn und Taxis Förderpreis (2018) Outstanding Reviewer Award of Forests (2017) Dr. Neumann has secured significant research funding from the Austrian Science Fund (FWF), European Commission, and national agencies. His current projects address critical challenges in forest management under climate change, including wildfire risk mapping, deadwood management, and optimizing forest carbon sequestration. He actively collaborates with international research teams and contributes to policy-relevant research that bridges science and forest management practice. His work with the Institute of Forest Management involves both fundamental research on forest ecosystem processes and applied research that directly informs sustainable forest management practices in Austria and Europe.

• Supply Chain Risk Management
• Supply Chain Resilience
• Technological Innovation
• +۳ مورد دیگر

Mahour Parast is a Research Associate Professor at Arizona State University's Del E. Webb School of Construction within the School of Sustainable Engineering and the Built Environment. His research focuses on supply chain disruption risk, resilience, and technological innovation, with funding from NSF, USDOT, VentureWell, and Qatar Foundation. He maintains active industry collaborations and serves on editorial boards for IEEE Transactions on Engineering Management and Operations Management Research. Education: Ph.D. in Engineering, University of Nebraska-Lincoln M.S., University of Science and Technology B.S., Sharif University of Technology Research Focus: Dr. Parast's work integrates data science and machine learning to analyze supply chain risk mitigation, emphasizing R&D investment impacts and dynamic capabilities. His publications in Journal of Operations Management and IEEE Transactions reveal how firm size, business strategy, and innovation orientation affect resilience. Recent studies examine bio-materials sustainability and healthcare quality systems through Baldrige Award frameworks. Publication Trends: His 2019-2020 output shows increasing use of machine learning for disruption prediction, with 60% of recent articles applying computational methods to supply chain risk. Cross-industry applications span airlines, healthcare, and construction, highlighting universal resilience principles through empirical US supply chain data. Scientific Recognition: Best Paper Award, European DSI (2024) Mentoring Award, TRB (2018) Multiple Best Paper Awards (DSI, ASEE) Faculty Research Award, UNC-Pembroke (2008) Mentoring & Grants: He has advised 19 graduate students to completion across Ph.D. and Master's programs. Current grants include NSF-funded studies on R&D innovation using BRDIS data and sustainable bio-materials development. His industrial experience in auto and energy sectors informs practical risk management frameworks. Professional Engagement: As a member of ISCRiM and DSI, he leads international research networks. His 24 invited presentations at institutions like Columbia University and Qatar University demonstrate global impact in technological innovation risk management.

• Automation Engineering
• Simulation-Based Optimization
• Reconfigurable Manufacturing Systems
• +۵ مورد دیگر

Tehseen Aslam is a Senior Lecturer in Automation Engineering at the School of Engineering Science , University of Skövde. As Deputy Vice-Chancellor for Industry Collaboration , they bridge academic research with industrial applications through projects like WISER (2021-2026) and Strategic Production Optimization (2017-2020). Research Interests : Simulation-based optimization, reconfigurable manufacturing systems, AI in industrial vision, digital twins, and sustainable production. Grants & Projects : Involved in Network City Skaraborg (2024), Digital Models for Energy Systems (2022), and Virtual Factory (2018-2020). Publications : 15+ works on multi-objective optimization, system dynamics, and digital manufacturing. Collaborations : Partnerships with Anna Syberfeldt, Amos H.C. Ng, and Gary Linnéusson.

• Transfusion Medicine
• Hematology
• Biostatistics
• +۴ مورد دیگر

Na Li is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her interdisciplinary research bridges computational methods with clinical hematology through extensive collaborations with transfusion medicine experts. Key contributions in biostatistical modeling for immune thrombocytopenia diagnosis Innovations in healthcare logistics for blood product management Pioneering AI-human collaboration frameworks for electronic health record analysis Her scholarly work spans machine learning applications in disease detection, operational research for blood inventory optimization, and clinical decision support systems development. Recent publications demonstrate integration of large language models with medical expertise for improved diagnostic accuracy. Notable research themes include: Pandemic resource allocation fairness Perioperative anticoagulant management Platelet transfusion analytics Blood product demand forecasting Privacy-preserving federated learning Her work has been cited extensively across transfusion medicine , critical care , and healthcare technology domains, with implementations in major clinical trials and policy documents.

• Industrial Engineering
• Operations Management
• Lean Manufacturing
• +۵ مورد دیگر

Erlend Alfnes is an Associate Professor at the Department of Industrial Technology , UiT The Arctic University of Norway, based in Narvik. His work focuses on industrial technology and production management within engineer-to-order (ETO) manufacturing environments. Research Themes : Industry 4.0 integration, Lean manufacturing, sustainable shipbuilding, supply chain uncertainty mitigation, hydrogen transition in maritime, and digitalized logistics frameworks. Methodologies : Multiple case studies, systematic literature reviews, framework development, and empirical investigations into ETO operations. Key Collaborations : Regularly co-authors with researchers like Marco Giovanni Semini, Fabio Sgarbossa, and Jonathan Gosling on projects such as Industry 5.0 enabled Smart Logistics . Publication Trends : Recent works emphasize Industry 4.0's impact on Lean barriers (2025), circular economy practices in ETO shipbuilding (2025), operator 4.0 frameworks (2024), and hydrogen transition in maritime value chains (2024). Earlier contributions explore digitalized yard logistics (2023), spare parts inventory guidelines (2023), and tactical delivery date practices (2022). Technical Expertise : Advanced knowledge in CONWIP systems, Kanban optimization, and spare parts classification. His work bridges theoretical models with practical applications in shipbuilding and engineer-to-order production.

Canan Gunes Corluمشاهده پروفایل

دانشیار

• Operations Management
• Data Analytics
• Machine Learning
• +۶ مورد دیگر

Canan Gunes Corlu is an Associate Professor in the Department of Administrative Sciences at Boston University Metropolitan College (MET) and an Affiliated Faculty member of the Boston University Institute for Global Sustainability (IGS). She serves as the faculty coordinator for MET's Supply Chain Management programs. Her educational background includes: PhD in Operations Management, Tepper School of Business, Carnegie Mellon University MS in Operations Management, Tepper School of Business, Carnegie Mellon University BS in Industrial Engineering, Koc University, Turkey Dr. Corlu's research centers on operations management and data analytics, specifically addressing data challenges in decision-making through theoretical and applied approaches. She specializes in data analytics/machine learning and simulation-optimization techniques applied to inventory management, illegal supply chains, transportation/logistics, warehousing, and digital twins, with strong connections to sustainability through her IGS affiliation. Her notable recognitions include: 2021 INFORMS Volunteer Service Award 2021 Winter Simulation Conference Outstanding Reviewer Award INFORMS Senior Member designation Dr. Corlu holds significant editorial roles as Associate Editor for the Journal of Simulation and editorial board member for the Journal of Business Analytics and Decision Sciences journal. As faculty coordinator for Supply Chain Management programs, she oversees curriculum development and student mentorship, though specific advisees and grant details are not documented in available sources. Her IGS affiliation indicates active participation in interdisciplinary sustainability research teams, though lab-specific details remain unmentioned in the source material.

• Production Engineering
• Operations Management
• Sustainable Manufacturing
• +۳ مورد دیگر

Balwin Bokor is a Researcher at Steyr University of Applied Sciences, affiliated with the Department of Production and Operations Management. His work focuses on industrial systems, simulation modeling, and sustainable manufacturing practices. Bachelor of Arts (BA), Master of Science (MSc) Research Interests: Bokor's research spans production engineering and operations management, emphasizing energy efficiency, logistics optimization, and simulation-based analysis. His studies address material requirements planning (MRP), constant work-in-process (CONWIP) systems, and flexible capacity adjustments in multi-stage production environments. Article Trends: Recent publications highlight simulation-driven approaches to production planning, energy cost balancing, and control system optimizations. These works align with Industry 4.0 trends in smart production and sustainable logistics. Scientific Awards: Recipient of the Würdigungspreis (2022), an Austrian award recognizing academic merit. Collaborations: Active in cross-institutional research networks, with collaborations in production system engineering, battery manufacturing, and energy reduction strategies. His work contributes to the 'fingerprint' research areas identified by Steyr University of Applied Sciences.

• Platform operations management
• Intersection of business operations and marketing
• Supply chain management

Chen Pingping is an Assistant Professor at the School of Management, Shandong University , focusing on platform operations management, supply chain dynamics, and the intersection of business operations with marketing strategies. Her work addresses complex decision-making in digital and traditional retail ecosystems. Doctor of Management (2021) and Bachelor of Management (2016) from Tianjin University and Dalian Maritime University respectively Principal Investigator for National Natural Science Foundation of China Young Scientists Fund Project Research interests include: Platform operations management Integration of business operations and marketing Supply chain optimization under uncertainty Digital transformation of enterprise logistics Recent publications analyze pricing mechanisms (Omega), shipping supply chain innovations (Transportation Research Part E), online-offline channel synergies (European Journal of Operational Research), and asymmetric information impacts (IEEE Transactions on Fuzzy Systems). Key themes involve retail competition , gift card economics , and service upgrades in maritime logistics . Notable scientific contributions : NSFC-funded research on e-commerce channel strategies under customer perceived value Game theory models for vertically-related markets Fuzzy system applications in promotion decision-making Teaching portfolio includes Supply Chain Finance , Supply Chain Resource Planning , and Management Decision Analysis . Collaborations span multiple institutions through Shandong University's international partnerships.

Eugene Moharebمشاهده پروفایل

دانشیار

• Urban Sustainability
• Life Cycle Assessment
• Greenhouse Gas Mitigation
• +۴ مورد دیگر

Dr. Eugene Mohareb is an Associate Professor in Sustainable Urban Systems at the University of Reading, where he leads the Sustainable & Equitable Resource Consumption (SERC) group. His research focuses on quantitative sustainability assessments of urban systems, specializing in life cycle analysis of energy and food systems, greenhouse gas mitigation strategies, and adoption of low-carbon technologies. He directs multiple courses including Statistical Analysis, Sustainable Built Environments, and Carbon Management. Dr. Mohareb holds a PhD in Civil (Environmental) Engineering from the University of Toronto, an MSc in Biological (Food) Engineering from the University of Guelph, and a BSc in Biological (Food) Engineering from the same institution. He is affiliated with the International Society for Industrial Ecology. His research examines urban sustainability through three primary lenses: life cycle sustainability assessment of built environments, domestic retrofit adoption patterns, and sustainability metrics for food systems. Key projects include FoodSEqual, HiFi Bread, and BBSRC-funded assessments of biobased food system transitions. His work with Toast Brewing exemplifies industry collaborations to quantify carbon benefits of circular economy approaches. Mohareb's publications demonstrate strong thematic coherence around urban decarbonization, with recent expansions into social dimensions of sustainability in developing contexts. His 15 most recent articles (2022-2025) cluster around six domains: waste management innovations, energy retrofit behavior, urban metabolism modeling, climate adaptation strategies, food-energy systems, and renewable technology adoption in rural areas. This reflects an evolution from foundational urban GHG accounting toward applied socio-technical transitions. He leads the SERC research group, collaborating with academic and industry partners to develop evidence for low-carbon societies. Current projects investigate decentralized waste systems, solar adoption impacts on rural livelihoods, and urban heat resilience frameworks.

• Modeling & Simulation
• Production Systems Design
• Supply Chain Management
• +۷ مورد دیگر

Francesco Longo is an Assistant Professor at the Department of Mechanical, Energy and Management Engineering , University of Calabria, Italy. He serves as Director and Scientific Responsible of the Modeling & Simulation Center – Laboratory of Enterprise Solutions (MSC-LES), the sole Italian member of the McLeod Modeling & Simulation Network (MS&Net). His academic career spans teaching 'Design of Production Systems' and 'Industrial Plant Laboratory' since 2005, with visiting researcher roles at Rutgers University and University of Genoa. Education: PhD in Mechanical Engineering (2006), Summa Cum Laude Degree in Mechanical Engineering (2002) Research Focus: Modeling & Simulation applied to production systems, supply chain security, digital twins, and human-robot collaboration His recent publications (2024-2025) demonstrate interdisciplinary work across digital twin technology (for food industry, human-robot workspaces), human-centered design (smart operators, wearable AR solutions), and sustainability (ESG impacts, energy efficiency). He has served as Editorial Board Member for Simulation journals and General Chair at multiple European Modeling & Simulation Symposia. Scientific Recognition: MISS Certificate of Appreciation, ICAMES 2008 First Runner Up Technical Expertise: HLA/RTI Standards, 3D Real-Time Simulation, Industry 4.0/5.0 Tools As MSc course tutor since 2002 and conference organizer (22nd EMSS, MAS 2010), he bridges academic research with industrial applications through partnerships with Rutgers University , Kennedy Space Center/NASA , and University of Ottawa . His lab develops simulation tools for maritime security and ergonomic workstation design.

Tetsuhiko Yoshimuraمشاهده پروفایل

استاد

• Forestry Engineering
• Environmental Education
• Ecotourism
• +۴ مورد دیگر

Tetsuhiko Yoshimura is a Professor at the Faculty of Agriculture and Life Sciences, Shimane University , with a career spanning over 30 years in forestry engineering and environmental informatics. His work focuses on mechanized logging systems in mountainous regions, GNSS/GPS applications in forest surveying, and sustainable forest management under climate change. PhD in Forestry from Kyoto University Developed innovative models for forest road network optimization Pioneer in integrating information technology with traditional forestry practices His research emphasizes: Forest Harvesting Systems - Analyzing productivity in steep terrain GNSS Accuracy - Improving positioning under tree canopies Environmental Education - Developing technology-based learning systems Recent publications demonstrate: Advancements in light cable logging technology Climate change adaptation strategies for East Asian forests Comparative studies of Japanese and European cable systems Economic analysis of small-scale biomass utilization He teaches courses in: Forest Informatics Timber Harvesting Methods Geospatial Surveying Forestry Statistics Professional affiliations: Japanese Forest Society (since 1994) Forest Utilization Society (since 1994) Forest Economics Society (since 2024)

Christoph M. Flathمشاهده پروفایل

استاد

• Business Analytics
• Operations Research
• Information Systems
• +۳ مورد دیگر

Prof. Dr. Christoph M. Flath is the Chair of Business Information Systems and Business Analytics at Julius-Maximilians-Universität Würzburg's Faculty of Management and Economics (Department of Business Management). He has held this position since April 2018, previously serving as Junior Professor for Operations Management at the same institution (2014-2018). His academic journey includes leadership roles at the Karlsruhe Institute of Technology where he headed the Smart Grids and Energy Markets division. Education: Doctorate (with distinction) in Economics, Karlsruhe Institute of Technology (2013) Diploma in Industrial Engineering (with distinction), University of Karlsruhe (2008) Study abroad program at University of Toronto, Canada (2006-2007) Research Focus: Prof. Flath's work bridges business analytics, operational optimization, and information systems, with applications in energy markets, supply chains, and industrial data science. His research employs advanced quantitative methods to solve complex problems in smart grids, sharing economies, and digital innovation ecosystems. Awards and Honors: Doctoral dissertation awarded with distinction Diploma in Industrial Engineering awarded with distinction Team Leadership: Directs research group including six team members (Bianca Hartmann, Robin Derzbach, Aabhash Dhakal, Nico Elbert, Tim Lachner, Nikolai Stein), focusing on business analytics applications across industrial domains.

H. Dharma Kwonمشاهده پروفایل

دانشیار

• Game Theory
• Strategic Decision Making under Uncertainty
• Stochastic Dynamic Games
• +۵ مورد دیگر

H. Dharma Kwon is an Associate Professor of Business Administration and Robert and Karen May Faculty Fellow at the Gies College of Business, University of Illinois at Urbana-Champaign. He holds a Ph.D. in Management and Operations Research from UCLA Anderson School of Management (2008) and a B.S. in Physics from KAIST (1991). His research focuses on strategic decision making under uncertainty, stochastic dynamic games, and technology management. He explores topics such as free-rider problems, Bayesian sequential decisions, and real options, with applications in supply chain management, project contracts, and employee retention strategies. His work bridges theoretical rigor and practical business challenges, addressing issues like optimal pricing strategies, investment decisions under spillovers, and cooperative game theory. He has published extensively in journals like Operations Research , Mathematics of Operations Research , and Management Science . His research also extends to early-career physics, with studies on superconductors and quantum phase transitions. Awarded the Robert and Karen May Faculty Fellowship (2018–present), Kwon is recognized for his teaching excellence, receiving the Excellent Teacher award multiple times (2014–2018, 2019–2020, 2023–2023). He serves as an Associate Editor for Management Science and Decision Analysis . His courses include Operations Management (BADM 275) and Decision Analytics (BADM 573), emphasizing data-driven decision frameworks and probabilistic methods.