جست‌وجوی استاد و پژوهشگر

• Operations Research
• Production Networks
• Supply Chain Design
• +۱ مورد دیگر

Dr. Frank Schwartz serves as a Lecturer at the Institute of Information Systems within the University of Hamburg Business School. His office is located at Von-Melle-Park 5, Room 6491, 20146 Hamburg, and he can be contacted via email at frank.schwartz@uni-hamburg.de or telephone at +49 40 42838-3143. His research expertise spans critical areas of modern supply chain management: Operations Research with emphasis on Linear Programming (LP), Mixed-Integer Linear Programming (MLP), and Stochastic Optimization Production Networks and their structural dynamics Strategic Supply Chain Design methodologies Proactive Supply Chain Risk Management frameworks Dr. Schwartz's scholarly output from 2004-2014 reveals an evolutionary trajectory from foundational disruption management in production systems to sophisticated stochastic modeling of global distribution networks. His work consistently addresses optimization challenges under uncertainty, with increasing focus on catastrophic risk scenarios and postponement strategies that enhance supply chain resilience in volatile environments. No scientific awards are documented in the available records. Teaching responsibilities include delivering 'Introduction to common IT Office Applications' during both summer and winter terms, along with specialized 'Seminar on Information Management' courses. No information regarding graduate student supervision or externally funded research grants is provided.

Mahdi Homayouniمشاهده پروفایل

مدرس ارشد

• Scheduling Optimization
• Operations Research
• Logistics and Supply Chain Management
• +۴ مورد دیگر

Mahdi Homayouni is a Senior Lecturer in Industrial Engineering and Management at the School of Business, Social & Decision Sciences, Constructor University. His expertise lies in scheduling optimization, logistics, and operations research. He holds a PhD in Industrial and Systems Engineering from Universiti Putra Malaysia (2012), an MSc in the same field (2008), and a B.Eng. in Industrial Engineering (2003). His research focuses on advanced scheduling methodologies for manufacturing systems, maritime operations, and container terminals. He has developed algorithms such as hybrid genetic algorithms, particle swarm optimization, and biased random key genetic algorithms (BRKGA) to address complex problems like energy-efficient job shop scheduling, integrated production-transport systems, and port automation. His work emphasizes sustainability, resource optimization, and the application of metaheuristics to real-world logistical challenges. Dr. Homayouni has held academic positions at institutions including the University of Porto (FEP), Islamic Azad University, and served as a research assistant at INESC Technology and Science. His contributions span theoretical advancements in scheduling models and practical applications in supply chain management, with a strong emphasis on interdisciplinary solutions. His recent publications highlight innovations in digital twin technology for seaport sustainability, energy-efficient manufacturing systems, and multi-objective optimization in transportation logistics. He continues to explore cutting-edge applications of AI-driven algorithms to enhance operational efficiency in industrial and maritime sectors.

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +۵ مورد دیگر

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.

Yossi Bukchinمشاهده پروفایل

استاد

• Assembly systems design
• Assembly line balancing
• Facility design
• +۵ مورد دیگر

Prof. Yossi Bukchin is a Professor in the Department of Industrial Engineering at The Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. His research focuses on manufacturing systems, production engineering, and operations research with particular expertise in assembly line design and optimization. His primary research interests include: Assembly systems design Assembly line balancing Facility design Operational scheduling Human factors engineering Warehouse and storage systems Prof. Bukchin's recent work demonstrates a strong focus on puzzle-based storage systems, assembly line optimization, and operations management. His research spans both theoretical developments in scheduling algorithms and practical applications in manufacturing and logistics systems. He has made significant contributions to the understanding of Bucket Brigade systems, puzzle-based storage optimization, and assembly line balancing with mixed-model production. His scholarly output shows evolution from early work on robotic assembly lines to contemporary research on machine learning applications in warehouse systems and advanced optimization techniques for modern manufacturing challenges. Contact information: Email: bukchin@tau.ac.il Phone: 03-6407941 Fax: 03-6407669 Office: Wolfson - Engineering

Sriram Sankaranarayananمشاهده پروفایل

استاد

• Cyber-physical systems
• Hybrid dynamical systems
• Formal methods
• +۸ مورد دیگر

Sriram Sankaranarayanan is a Professor in the Department of Computer Science at the University of Colorado Boulder and also serves as Associate Dean for Digital Education in the College of Engineering and Applied Science. Since joining the faculty in 2009, he has built an internationally recognized research program that blends programming languages, formal methods, and control theory to reason about cyber-physical systems. Education: Ph.D. in Computer Science, Stanford University, 2005 (advisers Zohar Manna & Henny Sipma) B.Tech., Indian Institute of Technology Kharagpur (President’s Gold Medal, 2000) Research Interests: Prof. Sankaranarayanan’s work centers on hybrid dynamical systems —models that capture discrete software interacting with continuous physical environments—and on developing formal-methods techniques for their verification, control, and synthesis. Specific themes include control-barrier & Lyapunov function synthesis, neural-network verification, stochastic-game models for human-autonomy interaction, and physics-informed machine learning. Application domains range from autonomous robotics and surgical-task planning to safety-critical medical devices such as the artificial pancreas. Recent Publication Trends (2024-2025): His latest papers advance safe control synthesis (successive control barrier functions, piecewise-affine Lyapunov functions) and trustworthy AI (Taylor-model enhanced physics-informed neural networks), while also exploring game-theoretic anticipation for robotic systems interacting with uncertain human operators. Honors & Awards: NSF CAREER Award (2009) Siebel Scholar (2005) President’s Gold Medal, IIT Kharagpur (2000) CU Boulder Dean’s Award for Outstanding Junior Faculty (2012) CU Boulder Outstanding Teaching Award (2014) CU Boulder Provost’s Faculty Achievement Award (2014) Coursera Outstanding Innovation Award (2022) Student Advising & Grants: He has mentored numerous PhD students; recent graduates include Dr. Emily Jensen, Dr. Monal Narasimhamurthy, and Dr. Kandai Watanabe (2024). His group regularly publishes at top venues such as HSCC, POPL, PLDI, CAV, and WAFR, supported by NSF, NIH, and industry grants. Group & Teaching: Prof. Sankaranarayanan leads activities within the Programming Languages & Verification group and teaches graduate and undergraduate courses on programming languages, algorithms, optimization, and formal methods. He is active in conference organization (e.g., PC Chair VMCAI 2025) and maintains open-source courseware and research notebooks on GitHub.