جست‌وجوی استاد و پژوهشگر

• Combinatorial Optimization
• Scheduling Algorithms
• Operations Research
• +۳ مورد دیگر

Dr. Helmut Sedding is a Senior Lecturer at the ZHAW School of Engineering, Zurich University of Applied Sciences (ZHAW), specializing in Smart Services and Operations. His research focuses on combinatorial optimization algorithms, particularly in scheduling, with an emphasis on time-dependent processing times and production planning efficiency. He has led numerous projects, including 'Customizable Injection Molded Products and Services with Interconnected Production Planning' and 'Warehouse Operations', and has contributed to optimizing freight configurations for aircraft. Sedding is actively involved in academic networks like the Swiss Operations Research Society and has organized events such as the 4th International Workshop on Dynamic Scheduling Problems (IWDSP 2023). His awards include the IISE Transactions Award 2021 (best journal paper in production and logistics) and the IWA Prize 2016 for contributions to scheduling research. Sedding’s work bridges theoretical optimization and industrial applications, addressing challenges in manufacturing and logistics through algorithmic advancements. Key Projects: Adaptive Production Planning Systems, Self-Regulated Corrective Actions in GFRP Production, and Systematization of Production Processes for Industrial SMEs. Grants and Funding: Extensive project leadership roles indicate sustained institutional and industrial support for his research. Labs/Teams: Core contributor to ZHAW’s Industry 4.0 initiatives and dynamic scheduling workshops.

Avijit Banerjeeمشاهده پروفایل

استاد

• Operations Planning and Scheduling
• Inventory Control
• Production Planning and Control
• +۴ مورد دیگر

Avijit Banerjee is a Professor at Drexel University’s Department of Decision Sciences and MIS. His research spans supply chain coordination, inventory optimization, production planning, and pricing strategies, with applications in electronics, defense, and medical industries. He holds expertise in integrating logistics with production scheduling and managing perishable inventories under uncertainty. His work advances supply chain resilience through innovative contracting mechanisms and risk mitigation strategies for global operations. Research themes include: Coordination models for failure-prone supply chains Integrated production-distribution systems for deteriorating items Multiproduct batch scheduling with transportation constraints Stochastic inventory modeling with time-sensitive backorder costs Award highlights: 2019 Best Doctoral Student Paper (Northeast DSI) 2018 Best Ph.D. Student Paper Award (NEDSI) 1987 S. T. Hardy Award for seminal operations management research His publications demonstrate consistent contributions to operations theory through mathematical modeling and empirical validations in high-impact journals.

• Operations Research
• Computational Complexity
• Combinatorial Optimization
• +۴ مورد دیگر

Mohammed Fazle Baki is a Professor of Management Science at the Odette School of Business, University of Windsor, where he currently serves as Associate Dean, Programs. Cross-appointed with the Mechanical, Automotive and Materials Engineering (MAME) department, his research focuses on combinatorial optimization, scheduling, and inventory management in manufacturing and healthcare systems. Ph.D. in Operations Management, University of Waterloo (1999) M.B.A. in Business Administration, University of New Brunswick (1995) M.A. in Business Administration, University of Dhaka (1991) B.A. in Civil Engineering, Bangladesh Institute of Technology (1987) His research interests span computational complexity, enumeration algorithms, flexible resource scheduling, and combinatorial optimization in manufacturing contexts. Recent work addresses hybrid additive-subtractive manufacturing planning, sustainable supply chain design, and operating room capacity allocation under uncertainty. Publications emphasize algorithm development for lot sizing, scheduling, and resource optimization problems with practical industry applications. Current research trends demonstrate cross-disciplinary impact across operations research, industrial engineering, and healthcare management. Key journals include European Journal of Operational Research , Health Care Management Science , and IEEE Transactions on Engineering Management . Collaborations extend to engineering and healthcare domains, particularly in public hospital systems optimization. 2017: Best Paper Award (International Conference on Supply Chain and Logistics Engineering) 2012: Odette Research Excellence Honourable Mention 2011: Student-nominated Professor of the Year

Michael Zhangمشاهده پروفایل

دانشیار

• Data Analytics
• Healthcare Services
• Supply Chain Management
• +۳ مورد دیگر

Michael Zhang is an Associate Professor at the Department of Finance, Information Systems and Management Science, Sobey School of Business, Saint Mary's University. He served as Acting Associate Dean (Research & Knowledge Mobilization) from 2019–2020. His research focuses on data analytics applications in healthcare services and supply chain management, including projects funded by SSHRC and NFRFE grants totaling CAD 319,000. He teaches courses in Applied Data Analysis, Statistics, Operations Management, and Quantitative Methods across PhD, Master’s, and undergraduate programs. Dr. Zhang holds a PhD in Management Science from the Ivey Business School (University of Western Ontario), a Master of Economics (Financial Engineering) from Xiamen University, and a BSc in Electronic Engineering from Zhejiang University. His current research includes machine learning for mental health interventions and vaccination strategy optimization. Notable projects include a CAD 273,000 NFRFE grant on mental health support for youth and a CAD 46,000 SSHRC grant on vaccination strategies using analytics. His scholarly contributions span machine learning ethics in healthcare, supply chain optimization, and regulatory studies in digital banking. He has published on topics ranging from production lot-sizing algorithms to cross-cultural student retention during the pandemic. His work bridges operational efficiency and societal challenges, employing advanced analytical methods to address real-world problems in healthcare and business systems.

Garud N. Iyengarمشاهده پروفایل

استاد

• Machine Learning
• Optimization
• Control Systems
• +۶ مورد دیگر

Garud N. Iyengar is the Avanessians Director of Columbia University's Data Science Institute (DSI) and a Professor of Industrial Engineering and Operations Research at The Fu Foundation School of Engineering and Applied Science. He leads over 400 affiliated faculty in DSI's research and education initiatives and co-leads Columbia's Artificial Intelligence Initiative. His research focuses on control systems, machine learning, and optimization, with applications in power systems, supply chains, causal inference, and cellular processes. He holds two patents and has authored over 90 publications. Education: BTech in Electrical Engineering from IIT (1993), PhD in Electrical Engineering from Stanford (1998). Leadership roles include Senior Vice Dean for Research at Columbia Engineering (2021-2024), department chair (2013-2019), and DSI Associate Director for Research (2017-2019). His work has been funded by NSF, ONR, and DOE. Research interests span optimization theory, machine learning applications, and interdisciplinary systems analysis. Notable projects include game-theoretic logistics modeling, blockchain in supply chains, and cellular information processing. Awards include INFORMS Fellow (2018) and Amazon Scholar (2019-2024). Grants and advising: Extensive funding history across energy systems, AI, and operations research. Active in mentoring and shaping DSI's postdoctoral and seed funding programs. Collaborates on technologies like SmartGraph AI databases and interpretable decision systems. Labs/Teams: Core contributor to DSI's interdisciplinary research ecosystem, leading teams in AI, optimization, and data-driven decision making. Involved in multi-disciplinary initiatives bridging engineering, computer science, and life sciences.

Yossiri Adulyasakمشاهده پروفایل

استاد

• Supply Chain Analytics
• Optimization under Uncertainty
• Large-Scale Optimization
• +۴ مورد دیگر

Yossiri Adulyasak is a Full Professor in the Department of Logistics and Operations Management at HEC Montréal, holding the Canada Research Chair in Supply Chain Analytics. He is also an Adjunct Professor at the University of Montreal's Department of Computer Science and Operations Research and a scientific advisor at IVADO Labs. His research focuses on supply chain optimization, data-driven decision-making, and robust optimization under uncertainty, with applications in retail, transportation, and humanitarian logistics. Education: PhD in Operations and Logistics Management (HEC Montréal), Master of Civil Engineering in Transportation Engineering (Chulalongkorn University). Research Interests : Supply chain analytics, large-scale optimization algorithms, stochastic programming, machine learning integration, and resilient supply chain design. His work emphasizes practical applications in logistics networks, inventory management, and dynamic resource allocation under uncertainty. Recent Articles : Focus on AI-driven retail analytics, robust optimization for lot-sizing and facility location, and humanitarian logistics. Key topics include pandemic response strategies, electric vehicle routing, and drone delivery systems. Awards : Recipient of the 2021 Prix de recherche Chenelière Éducation/Gaëtan Morin for excellence in scientific publications. Supervision : Directed 3 PhD dissertations and over 40 master’s and project supervisions, collaborating with companies like Bombardier, Pratt & Whitney Canada, and JDA. Active in industrial partnerships for supply chain optimization solutions. Lab/Teams : Member of GERAD (Group for Research in Decision Analysis) and IVADO Labs, contributing to cross-disciplinary AI and operations research initiatives.

Skouri Konstantinaمشاهده پروفایل

استاد

• Inventory control
• Operations research
• Supply chain management
• +۲ مورد دیگر

Skouri Konstantina is a Professor of Operations Research in the Section of Statistics and Operations Research at the Department of Mathematics, University of Ioannina, Greece. She maintains her office in the Mathematic Building, 3rd floor, Office 309β, and can be reached at +30 26510 0 8230 or via email at kskouri@uoi.gr. She completed both her Undergraduate and Postgraduate Studies at the Department of Mathematics, University of Ioannina. Her academic journey has led her to become a prominent researcher in the field of Operations Research, with a particular focus on inventory management and supply chain optimization. Professor Skouri's research interests encompass a wide range of topics within Operations Research, with special emphasis on: Inventory control systems and optimization Operations research techniques for supply chain management and reverse logistics Production planning and control methodologies Quantitative methods for business decision making Sustainable operations and green supply chain management Her extensive publication record demonstrates consistent contributions to the field of Operations Research, with numerous articles published in leading journals. Her research spans theoretical developments in inventory modeling as well as practical applications addressing contemporary supply chain challenges including sustainability considerations, disruption management, and innovative payment and pricing strategies. Professor Skouri has maintained an active research agenda for over two decades, with publications appearing consistently from 2000 through 2025, demonstrating her enduring contribution to the field. Professor Skouri has been actively involved in the academic community through her affiliation with the University of Ioannina, where she contributes to both undergraduate and graduate education in Mathematics and Operations Research.

Albert Wagelmansمشاهده پروفایل

استاد

• Operations Research
• Logistics & Information Systems
• Healthcare Logistics
• +۵ مورد دیگر

Albert Wagelmans is a Professor of Econometrics (Management Science) at the Department of Econometrics, Erasmus School of Economics (ESE), Erasmus University Rotterdam. He is affiliated with ERIM (Erasmus Research Institute of Management) and focuses on Logistics & Information Systems. His research emphasizes optimization methods for production, public transport, and healthcare planning, with notable contributions to supply chain coordination, inventory management, and healthcare logistics. He has held leadership roles, including Director of the Econometric Institute (2006–2014), Vice-President of EURO (2016–2020), and currently serves as President of the Dutch OR Society (NGB). Wagelmans co-founded the Erasmus Center for Optimization in Public Transport (ECOPT) and the Erasmus Center for Healthcare Logistics (EHCL), collaborating with organizations like NS Dutch Railways, Schiphol Group, and the Dutch Transplant Foundation (NTS). His research interests span optimization techniques applied to real-world problems, including healthcare logistics systems, public transport efficiency, and inventory management under uncertainty. Notable projects include the ESCH-R initiative for circular healthcare systems and mobile screening strategies for disease eradication. Wagelmans has advised over 15 PhD students and received awards for teaching excellence. His work has been published in top journals like Operations Research , Transportation Science , and Production and Operations Management .

• Combinatorial Optimization
• Operations Research
• Production Systems Planning
• +۳ مورد دیگر

Dr. Yassine Ouazene is an Associate Professor at the Université de Technologie de Troyes (UTT, France) since 2014, with an HDR (Accreditation to Supervise Research) from the University of Technology of Compiègne (2024). He holds a PhD and Master’s in Optimization and Safety of Systems (UTT, 2013 and 2010) and an Industrial Engineering degree from the National Polytechnic School of Algiers (2009). His research focuses on combinatorial optimization and operations research, applied to production planning, energy management, and smart pricing. He has authored over 100 publications, including 27 journal articles, and received awards such as the IEEE-IFAC CODIT Best Paper Award (2014), Booster Research Prizes (2020, 2022), and the National Council of Universities’ Premium of Scientific Excellence (2019). Current work includes healthcare system resilience, energy-efficient scheduling, and Industry 4.0 applications in manufacturing. He leads projects at the intersection of optimization algorithms, production systems, and sustainable innovation. His academic contributions span dynamic pricing models, nurse scheduling optimization, and multi-criteria decision-making in energy and healthcare sectors. He collaborates with industry partners on practical implementations of his research findings.

Stefan Helberمشاهده پروفایل

استاد

• Production Planning and Control
• Logistics Optimization
• Call Center Management
• +۴ مورد دیگر

Prof. Stefan Helber is a full Professor (W3) and Director of the Institute of Production Management at Leibniz University Hannover. His roles include Executive Director of the Institute, representative in academic committees (e.g., Curriculum and Teaching Committee), and member of the Cluster of Excellence SE²A. Education: PhD (1993) and Habilitation (1998) from Ludwig-Maximilians-Universität München Research focuses on stochastic production systems, logistics optimization, call center management, and automated production systems Recent work emphasizes regeneration processes, dynamic charging infrastructures, and stochastic flow line analysis. His research integrates operations research methods with practical industrial applications, particularly in manufacturing and service systems. Key publications include works on buffer allocation, lot sizing, and call center modeling, with a focus on optimization under uncertainty. He has supervised numerous theses across diploma/master/bachelor levels.

• Operations Management
• Management Science
• Supply Chain Management
• +۵ مورد دیگر

Dr. Omprakash Gupta is a Professor of Management at the University of Houston-Downtown's Marilyn Davies College of Business, where he has been teaching since 2011. His academic career spans over three decades with previous appointments at Prairie View A&M University, Nirma Institute of Management, and Purdue University. Education: Ph D in Operations Research from Purdue University MS in Mathematics from Purdue University MS in Mathematics from Gujarat University BS in Mathematics from Gujarat University with Supporting Areas of Emphasis in Physics Professor Gupta's research interests focus on operations management, management science, and the application of mathematical models to business and management. His scholarly work demonstrates a unique integration of quantitative methods with cultural and philosophical perspectives, particularly exploring Vedic principles in management. His research spans diverse domains including supply chain management, inventory modeling, quantitative decision-making, linguistic relativity in marketing, and Ramayana-based management principles. His recent publications (2015-2024) reveal a fascinating evolution from traditional operations research topics toward interdisciplinary studies connecting Eastern philosophy with business practices. While maintaining his expertise in quantitative methods and supply chain optimization, Gupta has increasingly explored the intersection of cultural values, linguistic frameworks, and business decision-making. His work on Ramayana-based management principles and linguistic relativity represents a distinctive contribution to management scholarship. Awards and Recognition: MDCOB Excellence in Research Award (September 2024) Marilyn Davies College of Business Excellence Award (September 2022) Professor Gupta has served in numerous leadership roles including Editor-in-Chief of AIMS International Journal of Management and President of AIMS International. His professional service extends to editorial boards, conference organization, and thesis evaluation. He has presented his research at international conferences worldwide and has made significant contributions to management education through case method teaching and faculty development initiatives. His current academic activities include teaching Operations & Supply Chain Management (MGT 3332) and Quantitative Methods in Business (GBA 5210) courses for both undergraduate and graduate students at the University of Houston-Downtown, with scheduled courses through Fall 2025.

Minjiao Zhangمشاهده پروفایل

استاد

• Mixed-Integer Programming
• Stochastic Programming
• Large-Scale Optimization
• +۶ مورد دیگر

Minjiao Zhang is a Professor in the Department of Economics, Finance & Quantitative Analysis at Kennesaw State University's Coles College of Business. With a career spanning over a decade, her academic journey includes previous roles as Assistant and Associate Professor at Kennesaw State, as well as Assistant Professor at the University of Alabama. Dr. Zhang holds a Ph.D. and M.S. in Operations Research from The Ohio State University. Education : Ph.D. and M.S. in Operations Research from The Ohio State University Her research focuses on advanced optimization methodologies including mixed-integer programming , stochastic programming , and network optimization , applied to real-world challenges in: Production planning and lot-sizing problems Disaster response optimization using social media Healthcare workforce scheduling Transportation safety modeling Network design under uncertainty Cybersecurity risk frameworks Her publications demonstrate a trend of integrating mathematical rigor with practical applications in supply chains, emergency management, and healthcare. Dr. Zhang has contributed to leading journals including Operations Research, European Journal of Operational Research, and Management Science. Her work on hurricane disaster planning and physician scheduling highlights cross-disciplinary impact. Contact: mzhang16@kennesaw.edu

Erhun Kundakcıoğluمشاهده پروفایل

استاد

• Combinatorial Optimization
• Decision Analytics
• Supply Chain Management
• +۹ مورد دیگر

Erhun Kundakcıoğlu is a Professor in the Department of Industrial Engineering at Ozyegin University's Faculty of Engineering. He received his Ph.D. in Industrial and Systems Engineering from the University of Florida (2009) with a minor in Computer and Information Science and Engineering, following an M.S. in Industrial Engineering at Sabancı University (2004) and B.S. at Bilkent University (2002). He served as Assistant Professor at University of Houston (2009-2013) and Director/Distinguished Scientist at Optym (2019-2021). Ph.D.: Industrial and Systems Engineering, University of Florida (2009) M.S.: Industrial Engineering, Sabancı University (2004) B.S.: Industrial Engineering, Bilkent University (2002) His research focuses on combinatorial optimization and decision making under uncertainty , with applications in healthcare analytics , sustainable energy systems , supply chain management , and data science . He has developed optimization models for inventory control, lot sizing, and routing problems under uncertain demand/supply conditions, particularly in healthcare and humanitarian contexts. His work with the Datart Lab integrates mathematical programming into practical solutions for industry partners. Recent publications highlight his expertise in disaster relief inventory simulation, healthcare inventory management, and time series decomposition optimization. He supervises active graduate students including Deniz N. Yoltay (Ph.D.) and Buket İpek Akbal (M.S.). Early Career Award, TUBITAK Teaching Excellence Award, University of Houston Florida Chapter Scholarship, HIMSS Foundation As Associate Editor for the Journal of Global Optimization , Optimization Letters , and SN Operations Research Forum , he contributes to academic discourse in optimization and analytics. His consulting firm Datart R&D Management Consulting bridges academic research with industry applications in Turkey and abroad.

Ioannis Konstantarasمشاهده پروفایل

دانشیار

• Operations Research
• Inventory Control
• Reverse Logistics
• +۴ مورد دیگر

Ioannis Konstantaras is an Associate Professor at the Department of Business Administration, University of Macedonia, Thessaloniki, Greece, holding this position since July 2016. He contributes to the Master in International Business, Master in Business Administration, and Master in Business Analytics and Data Science programs. His academic qualifications include: B.Sc. in Mathematics from Aristotelian University of Thessaloniki (1999) M.Sc. in Statistics & Operations Research from University of Ioannina (2001) Ph.D. in Operations Research from University of Ioannina (2006) Konstantaras specializes in mathematical modeling and optimization of inventory systems for supply and reverse logistics chains. His research addresses production planning, deteriorating items, imperfect quality products, and recovery processes through operations research methodologies. He develops analytical models for optimizing decision-making in complex logistics environments. His publication record (2010-2014) shows concentrated research on inventory models for deteriorating items, lot-sizing in recovery systems, and pricing strategies for reverse logistics. Key contributions include extensions to Economic Order Quantity models, optimization of two-warehouse systems, and integration of inspection learning effects in quality control. He serves as Co-Editor for the International Journal of Systems Science: Operations & Logistics since January 2014 and has reviewed for numerous international journals. Konstantaras led the research program "Logistics Management: Quantitative Methods for Inventory Management" funded by the ARCHIMEDES program under EPAYAEK II. No publicly available information lists his doctoral advisees.

Karim Tamssaouetمشاهده پروفایل

دانشیار

• Scheduling
• Inventory-Transportation Integration
• Operations Research
• +۳ مورد دیگر

Karim Tamssaouet is an Associate Professor at BI Norwegian Business School's Department of Accounting, Auditing and Business Economics. His academic trajectory includes positions as Assistant Professor at BI (2020-2024), Postdoctoral Researcher at École des Mines de Saint-Étienne (2019-2020), and R&D Engineer at STMicroelectronics (2016-2019). He holds a PhD from École des Mines de Saint-Étienne, with additional graduate degrees from Université Paris Dauphine and Ecole Nationale Polytechnique. His research specializes in optimization methodologies for industrial challenges, with core interests in: Scheduling algorithms for job-shop and flexible manufacturing systems Integrated inventory-transportation modeling Metaheuristic design (scatter search, neighborhood structures) Dynamic lot-sizing with logistics constraints Bayesian network learning for decision optimization Publication analysis reveals consistent focus on operational efficiency in manufacturing and supply chains, with recent expansions into machine learning applications for optimization. Methodological contributions include novel neighborhood frameworks for scheduling problems and multi-objective approaches for semiconductor production. He currently teaches Business Optimization and Supply Chain Analytics, bridging theoretical operations research with business applications. No research lab affiliations, scientific awards, or supervised students are documented.