دانشکده مهندسی صنایع دانشگاه صنعتی شریف، به عنوان برترین دانشکده مهندسی صنایع کشور، با هدف توسعه و آموزش مفاهیم و دستاوردهای جدید علمی از سالیان گذشته اقدام به برگزاری مجموعه سمینارهایی در حوزه‌های مختلف مهندسی صنایع نموده است. این مجموعه سمینار در راستای بخشی از اهداف اصلی دانشکده جهت ارتقای آموزش همگانی و مسئولیت‌های اجتماعی این واحد تعریف شده است و بدین منظور، هر ساله، با دعوت از برترین محققین دانشگاه‌ها و موسسه‌های تحقیقاتی خارج از کشور، طیف وسیعی از موضوعات جدید مورد نیاز جامعه علمی و صنعتی کشور را مورد بررسی قرار می‌دهد.
لازم به ذکر است وبینارهای مدیریت امور بین‌الملل براساس ساعت و تاریخ معین شده در کلاس مجازی با آدرس ذیل برگزار می‌شود:
ارتباط با امور بین‌الملل
شماره تماس: 66165701-21 (98)+
شماره فکس: 66022702-21 (98)+وبینارهای علمی بین‌الملل
Myths and Truths: Cyber Threat and Intelligence in Industrial Internet of Things Environments
Dr. Ali Dehghantanha (Assistant Professor of Computer Science - University of Guelph)
Behavioral Dynamics of COVID-19: Estimating under-reporting, multiple waves and adherence fatigue across 91 nations
Dr. Hazhir Rahmandad (Associate Professor of System Dynamics - MIT Sloan School of Managemen)
Supply Constrained Location-distribution in Not-for-profit settings
Dr. Gemma Berenguer (Assistant Professor of Business Administration - Universidad Carlos III de Madrid (UC3M))
Optimizing Healthcare Systems
Optimizing Healthcare Systems
Dr. Soroush Saghafian (Associate Professor - Harvard University)
Continuous Approximation Models for some modern Logistical problems
Dr. John Gunnar Carlsson (Associate Professor of Industrial and Systems Engineering - University of Southern California)
Distributionally Robust Optimization: Theory and Applications
Dr. Hamed Rahimian (Assistant Professor of Industrial Engineering, Clemson University)
Spatio-temporal Data Analysis with Applications in Traffic and Safety
Dr. Sobhan Moosavi (Data Scientist at Lyft Inc.)
Design and Application of Spreadsheet Solvers
Dr. Gunes Erdogan (Assistant Professor, University of Bath)
Fourth Industrial Revolution: Concept, opportunities and challenges in Industrial Engineering
Dr. Arman Baboli (Associate Professor - Industrial Engineering Department, LIRIS laboratory, Université de Lyon - National Institute of Applied Sciences (INSA) of Lyon)
Industry 4.0: Fundamentals, Key Technologies and LISMS
Industry 4.0: Fundamentals, Key Technologies and LISMS
Prof. Xun William Xu (Professor - Faculty of Engineering, University of Auckland)
Systems Modeling to Inform Complex
Science Policy Decisions
Systems Modeling to Inform Complex
Science Policy Decisions
Dr. Navid Ghaffarzadegan (Associate Professor - Department of Industrial and Systems Engineering, Virginia Tech)
Simulating crowd behaviour and motion: An integration between econometric methods and behavioural experiments
Simulating crowd behaviour and motion: An integration between econometric methods and behavioural experiments
Dr. Milad Haghani (Research Fellow at the Institute of Transport and Logistics Studies of the University of Sydney)
Clustering heterogeneous financial networks
Dr. Andreea C. Minca (Associate Professor at Cornell University, School of Operations Research and Information Engineering)
How integrated are credit and equity markets? Evidence from index options
Prof. Pierre Collin-Dufresne (Professor at the Swiss Finance Institute of the EPFL)
The Potential Role of Industrial Engineering in the Sustainability of Society
Dr. Eduardo Ordonez-Ponce (Assistant Professor at Athabasca University Faculty of Business)
Cooperative Security Against Interdependent Risks
Dr. Sanjith Gopalakrishnan (Assistant Professor at Desautels Faculty of Management at McGill University)
Collaborative quality improvement in hip and knee arthroplasty
Dr. Richard E. Hughes (Associate Professor at Department of Industrial & Operations Engineering at University of Michigan)
Joint Appointment and Reentry Scheduling: Mitigating Onsite Overcrowding in Outpatient Services
Dr. Yichuan Ding (Assistant Professor at Desautels Faculty of Management at McGill University)
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Prof. Daniel Kuhn (Professor at College of Management of Technology at École polytechnique fédérale de Lausanne (EPFL))
An overview of the importance of data science and some of its applications in the automotive industry
An overview of the importance of data science and some of its applications in the automotive industry
Dr. Morteza Foroutan (Data and Analytics Team Lead at General Motors)
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
Dr. Christina Lee Yu (Assistant Professor at the School of Operations Research and Information Engineering at Cornell University)
Exploring the potential of alternative graphs to solve railway optimization problems
Dr. Andrea D'Ariano (Associate Professor at Department of Engineering at Roma Tre University)
Dropping Standardized Testing for Admissions Trades Off Information and Access
Dr. Nikhil Garg (Assistant Professor at the school of Operations Research and Information Engineering at Cornell University)
Fighting COVID-19 at Cornell University
Dr. Peter Frazier (Associate Professor at the school of Operations Research and Information Engineering at Cornell University)
Designing a sustainable and resilient last-mile logistics in the digital revolution era
Dr. Guido Perboli (Associate Professor at the Department of Management and Production Engineering at Politecnico di Torino)
Big Data is Low Rank
Dr. Madeleine Richards Udell (Assistant Professor at the school of Operation Research and Information Engineering at Cornell University)
Differentially Private Algorithms for Online Learning
Dr. Rachel Cummings (Assistant Professor at the Department of Industrial Engineering and Operations Research at Columbia University)
Artificial Process Intelligence: AI for Business Process Automation and Transformation in the Enterprise
Prof. Hamid R. Motahari Nezhad (Professor at the Department of Computing at Macquarie University)
Understanding Fairness in Online Allocation
Linearized robust counterparts of two-stage robust optimization problems with applications in operations management
Dr. Amir Ardestani-Jaafari (Assistant Professor at the Faculty of Management at University of British Columbia)
Automated Process Model Discovery: striving for simplicity
Dr. Raffaele Conforti (Director & Co-founder, Process Diamond Pty Ltd)
Elaborating on Business Intelligence and its Features in Action
Elaborating on Business Intelligence and its Features in Action
Dr. Sina Namaki Araghi (Postdoctoral Researcher in Data and Business Process, IMT Mines Albi, France)
Sampling Manholes to Home in on SARS-CoV-2
Prof. Richard C.Larson (MIT Professor (Post Tenure) Data, Systems, and Society)
Low Dimensional Learning from High Dimensional Data for System Modeling and Improvement
Dr. Kamran Paynabar (Associate Professor at H. Milton Stewart School of Industrial Engineering at Georgia Tech)
Tactical Design for Same-day Delivery
Dr. Alejandro Toriello (Associate Professor of Industrial and Systems Engineering at Georgia Tech)
Industry in the Big Data Era
Dr. Hossein Badri (Professor at Dalhousie University, Department of Industrial Engineering)
Graph optimization models for the structural analysis of balance, cohesion, and division in signed networks
Dr. Samin Aref (Assistant Professor at University of Toronto, Department of Mechanical and Industrial Engineering)
Generative AI Driven Digital Twinning
Generative AI Driven Digital Twinning
Dr. Hamidreza Mahyar (Assistant Professor in Faculty of Engineering at McMaster University)
Cross Validation Between the Developing and Emerging Markets
Dr. Hormoz Ramian (Assistant Professor at the University of Glasgow, Adam Smith Business School)
Efficient Discovery of Cost-effective Policies in Sequential, Medical Decision-Making Problems
Disaster Resilient Cities: An OR Approach to Disaster Management
