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Michael Baldea is an Associate Professor in the Department of Chemical Engineering at the University of Texas at Austin . He holds a Ph.D. in Chemical Engineering from the University of Minnesota (2006), with prior degrees from 'Babeş-Bolyai' University in Romania (M.Sc. 2001, Diploma 2000). His research group develops theoretical and computational methods for Process and Energy Systems Engineering , focusing on integrated decision-making, performance optimization, and process intensification with industrial validation. Education: Ph.D., Chemical Engineering, University of Minnesota (2006) M.Sc., Interface Process Engineering, 'Babeş-Bolyai' University (2001) Diploma, Chemical Engineering, 'Babeş-Bolyai' University (2000) Research Thrusts: Integrated decision-making in chemical/energy supply chains Process performance monitoring and optimization Process integration and intensification Key applications include grid-responsive chemical plants, intensified distillation/column designs, and renewable energy integration for building systems. Scientific Awards: Frank A. Liddell, Jr. Fellowship NSF CAREER Award (2015-2020) Moncrief Grand Challenges Faculty Award (2014) AIChE Outstanding Young Researcher Award (2017) Implementation : His group has translated research into commercial tools through partnerships with industrial test beds and is working to integrate methods into commercial simulators. They explore predictive approaches for building energy management and strategic capital investment analysis in next-generation energy systems.

• Process Systems Engineering
• Energy Systems
• Nonlinear Optimization
• +3 more

Anantha Chandrakasan is the Vannevar Bush Professor of Electrical Engineering and Computer Science at MIT, serving as Dean of the MIT School of Engineering and Chief Innovation and Strategy Officer. His research focuses on energy-efficient integrated circuits, medical devices, and AI hardware security. He leads the MIT Energy-Efficient Circuits and Systems Group, developing systems for biomedical applications, wireless communication, and quantum computing. He holds appointments at MIT's Microsystems Technology Laboratories and has contributed to collaborations like the MIT-Takeda Program in AI-driven healthcare and a partnership with GlobalFoundries for energy-efficient AI chips. His work spans implantable drug delivery systems, conformable ultrasound patches, and secure edge computing architectures. Chandrakasan's innovations include ultra-low-power circuits for IoT devices, cryptographic processors for post-quantum security, and AI accelerators for edge applications. He emphasizes interdisciplinary research bridging electrical engineering with biomedical and quantum fields, supported by leadership roles in MIT's strategic initiatives. His contributions to energy-efficient computing have led to advancements in wearable health monitors, batteryless sensors, and secure communication protocols for medical devices. Ongoing projects include THz integrated systems and AI-enhanced analog circuit design optimization.

• Energy-Efficient Circuits
• Integrated Systems
• AI Hardware Security
• +3 more

Dr. Md Manjurul Ahsan serves as a Research Assistant Professor in the Department of Industrial & Systems Engineering at the University of Oklahoma, where he develops AI-driven solutions for healthcare diagnostics and advanced manufacturing optimization. His work bridges theoretical AI advancements with practical industrial and medical applications. Education: Ph.D. in Industrial and Systems Engineering, University of Oklahoma M.S. in Industrial Engineering, Lamar University B.S. in Industrial and Production Engineering, Shahjalal University of Science and Technology Research Focus: Dr. Ahsan specializes in Artificial Intelligence with technical depth in Machine Learning , Deep Learning , and Computer Vision to solve critical challenges in healthcare diagnostics and additive manufacturing . His research emphasizes Explainable AI to enhance model trustworthiness and deployment efficiency across Cyber-Physical-Social Systems, with significant contributions to Aerospace and Defense applications. Publication Trends: Recent work (2023-2025) reveals a strategic expansion from core manufacturing applications into medical AI (diffusion models for diagnostics), cultural preservation (NLP for Dravidian languages), and geopolitical AI analysis. His publications consistently address data imbalance challenges while advancing digital twin integration in quality control systems. Scientific Recognition: GCOE Dissertation Excellence Award (2023) International Student Scholarship (2022) Outstanding Academic Achievement in Engineering (2022) IEEE IEMCON Best Paper Award (2020) Netti Vincent Boggs Engineering Excellence Award (2020) Research Leadership: As director of the Sooner Additive Manufacturing Laboratory , Dr. Ahsan leads cross-disciplinary teams developing real-time monitoring systems using FARO arms and CMM metrology. His postdoctoral work at Northwestern University (2023-2024) advanced AI deployment frameworks, resulting in 60+ peer-reviewed publications with multiple papers ranking in engineering's top 1% for citations.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +7 more

Stephen Graves is the Abraham J. Siegel Professor of Management and a Professor of Operations Management at MIT Sloan School of Management, with a joint appointment in Mechanical Engineering. He holds a PhD in Operations Research from the University of Rochester. His research focuses on operations research models applied to manufacturing systems, supply chains, and service operations, including strategic inventory positioning and order fulfillment optimization. Graves has served as MIT Sloan’s Deputy Dean and Chair of MIT’s Faculty Council (2001-2003). He is a Fellow of INFORMS, recipient of the Kimball Medal, and member of the National Academy of Engineering. Education: PhD in Operations Research, University of Rochester MBA and AB in Mathematics/Social Sciences, Dartmouth College Research Interests: Graves develops analytical frameworks for supply chain optimization, inventory management, and production planning. His recent work addresses post-pandemic supply chain resilience, digital twins for production systems, and closed-loop supply chains. Current projects explore operational challenges in e-commerce fulfillment and global supply networks. Awards: INFORMS Kimball Medal (2023) Elected to National Academy of Engineering INFORMS Prize for Operations Research President of INFORMS (2020) Advising & Grants: Supervisor to 25+ PhD students across manufacturing, supply chain analytics, and healthcare operations. Active in industry collaborations with companies like Intel, Polaroid, and Monsanto. Leads MIT initiatives including the Leaders for Global Operations program. Labs/Teams: Core member of MIT’s Institute for Data, Systems, and Society (IDSS). Co-director of the MIT Operations Research Center. Involved in interdisciplinary projects combining data science with operations management.

• Operations Research
• Supply Chain Management
• Manufacturing Systems
• +3 more

James S. Noble is a Professor and Chair of the Department of Industrial and Systems Engineering at the University of Missouri, where he also serves as the MU Site Director for the NSF I/UCRC Center for Excellence in Logistics and Distribution (CELDi). His work bridges academia and industry through applied research in logistics, supply chain, and integrated production systems. PhD, Purdue University MS, Purdue University BS, University of Oklahoma Dr. Noble's research focuses on logistics and distribution , supply chain system design , and integrated production systems , with applications ranging from humanitarian logistics to intelligent warehouse systems. His work emphasizes modeling, analysis, and optimization of material flow and transportation systems. The 15 most recent articles reflect a consistent trajectory in logistics systems analysis , supply chain modeling , and material flow improvement . These publications demonstrate a strong integration of operations research, systems engineering, and real-world problem-solving, with applications in energy, transportation, humanitarian aid, and industrial logistics. Keywords span Operations Research , Supply Chain Management , and Industrial Engineering , while sub-fields include Bayesian forecasting, reverse logistics, winter road maintenance, and intelligent systems. Dr. Noble has been recognized with several prestigious awards: Society of Manufacturing Engineers Outstanding Young Manufacturing Engineering Award (1997) William T. Kemper Fellowship for Teaching Excellence (2022) Win Horner Award for Innovative Writing Intensive Teaching (2014) Elected Fellow of the Institute for Industrial and Systems Engineering (IISE) (2019) His research has been generously funded by the National Science Foundation , Bayer , Boeing , Hallmark Cards , Honeywell FMT , Medline , Ameren , UMB Financial , the U.S. Economic Development Administration , the Midwest Transportation Consortium , and the Missouri Department of Transportation . While specific advisees are not listed, his leadership in CELDi and role as department chair suggest extensive mentorship of graduate and undergraduate students in real-world logistics projects. He is also a registered Professional Engineer in Missouri. As MU Site Director for CELDi, Dr. Noble leads a multidisciplinary team of faculty from Industrial Engineering, Civil Engineering, Geography, and Biological Engineering, collaborating with over 30 industry, military, and government partners to solve real-world logistics challenges and develop implementable, cutting-edge solutions.

• Logistics and Distribution
• Supply Chain System Design
• Integrated Production Systems
• +7 more

Dr. Nabil Nasr serves as Associate Provost for Academic Affairs and Director of the Golisano Institute for Sustainability (GIS) at Rochester Institute of Technology (RIT). He also holds leadership positions as CEO of the REMADE Institute and Member of the United Nations Environment Programme (UNEP) International Resource Panel (IRP). His academic journey includes a BS from Helwan University (Egypt), M.Eng. from Pennsylvania State University, and MS and PhD from Rutgers University. Dr. Nasr is an internationally-recognized leader in sustainability research with expertise spanning sustainable manufacturing, remanufacturing, circular economy, and sustainable product development. His work emphasizes systems thinking and technological innovation to build regenerative industrial systems. He has pioneered research in value-retention processes, establishing frameworks for remanufacturing, refurbishment, repair, and direct reuse as strategic approaches to resource efficiency. His publication record demonstrates significant contributions to circular economy implementation across multiple sectors. Analysis of his recent work reveals strong focus on practical applications of circular strategies in industrial systems, automotive production, and urban mobility solutions, with emphasis on developing decision support tools and business cases for sustainable practices. Remanufacturing Industries Council 2017 ACE Award Rochester Engineering Society 2017 Engineer of Distinction APRA Asia-Pacific Most Influential Expert on Remanufacturing Award (2016) Institute of Industrial and Systems Engineers (IISE) Fellow Dr. Nasr has established numerous research centers and initiatives including the world's first university-based remanufacturing research hub (1997), the Center for Integrated Manufacturing Studies (2002), and the REMADE Institute - the largest recycling and remanufacturing consortium in the United States. His leadership extends to international forums including the UN Environment Programme, World Trade Organization, and OECD, where he influences global sustainability policy.

• Sustainability
• Sustainable Manufacturing
• Remanufacturing
• +3 more

Edwin Romeijn holds the Jill Stewart Archer Family Chair and Professor position in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. He served as School Chair from 2015-2024, overseeing the nation's top-ranked industrial engineering program. Previously, he held faculty positions at the University of Michigan, University of Florida, and Erasmus University Rotterdam, and served as Program Director at the National Science Foundation. Education: Ph.D. in Operations Research (1992), Erasmus University Rotterdam M.S. in Econometrics (1988), Erasmus University Rotterdam Romeijn's research centers on optimization theory and applications , with dual focus areas in radiation therapy treatment planning and supply chain management . His radiation therapy work develops algorithms for cancer treatment planning and clinic scheduling, while his supply chain research addresses integrated optimization of production, inventory, and transportation under demand flexibility, resource constraints, perishability, and uncertainty. His methodologies bridge theoretical operations research with real-world healthcare and logistics systems. His publication portfolio demonstrates consistent contributions to optimization methods across diverse application domains, with recent work spanning healthcare systems, renewable energy, sports analytics, and unconventional logistics. The research exhibits strong methodological continuity in stochastic programming, network optimization, and decision-making under uncertainty. Scientific Awards: Fellow of IISE and INFORMS (2017) Richard C. Wilson Faculty Scholar (2012-2013) Multiple best paper awards in industrial engineering conferences Pierskalla Best Paper Award (2003) Young Investigator’s Award at ICCR (2004) Romeijn has advised numerous graduate students and secured significant research funding through NSF and other agencies. His leadership extends to program direction at NSF and chairing Georgia Tech's Industrial and Systems Engineering school. He maintains active collaborations with healthcare institutions and manufacturing enterprises, translating theoretical advances into practical solutions for radiation oncology and supply chain resilience.

• Optimization Theory
• Radiation Therapy Treatment Planning
• Supply Chain Management
• +2 more

Vernet Lasrado is a Lecturer at the University of Central Florida (UCF), affiliated with the Department of Industrial Engineering and Management Systems (IEMS) within the College of Engineering and Computer Science. His primary research focuses on manufacturing systems optimization, technology transfer, and economic policy analysis related to building codes. He holds a Ph.D. in Industrial Engineering and Management Systems from UCF. Education: PhD in Industrial Engineering and Management Systems, University of Central Florida (2000s). Research interests include operations research applications in facility layout design, conveyor system optimization, semiconductor manufacturing automation, and policy impacts of building regulations. His work bridges theoretical models (e.g., queueing theory, genetic algorithms) with real-world industrial challenges. Recent studies examine university incubator effectiveness and economic consequences of delayed building code implementations. His publications span topics from material handling system design to phase transition simulation methods. Notable contributions address closed-loop conveyor optimization using genetic algorithms and crossover placement strategies in semiconductor fabs. No awards or grants are listed in the provided materials.

• Operations Research
• Manufacturing Systems
• Industrial Engineering
• +3 more

Dr. Jianqiang Cheng is an Associate Professor in the Department of Systems and Industrial Engineering at the University of Arizona, College of Engineering. He is also a member of the Graduate Faculty and affiliated with the Applied Mathematics and Statistics Graduate Interdisciplinary Programs. His research is centered on optimization under uncertainty with applications in energy systems and logistics. Research Interests: His primary research areas include stochastic programming, robust optimization, distributionally robust optimization, semidefinite programming, and chance-constrained optimization. He applies these methodologies to challenges in power systems, renewable energy integration, microgrid design, and resilient supply chains. The recent publications (2020–2022) reflect a strong trend toward data-driven and computationally efficient methods in optimization. Key themes include distributionally robust optimization under moment and Wasserstein ambiguity, chance-constrained AC optimal power flow, and resilient supply chain modeling under disruptions such as the COVID-19 pandemic. His work frequently appears in top journals like INFORMS Journal on Computing , IEEE Transactions on Power Systems , and European Journal of Operational Research . Scientific Awards: Best Short Paper Award, INFORMS Workshop on Data Science (Fall 2022) NSF CAREER Award, National Science Foundation (Spring 2022) Science Foundation Arizona's 2017 Bisgrove Scholar (Spring 2017) Dr. Cheng has secured significant research funding, including the NSF CAREER Award, supporting his work in data-driven optimization. He collaborates extensively with researchers in energy systems and operations research, including K. Pan, M. Cheramin, A. M. Fathabad, and A. Lisser. While specific advisees are not listed, his role as a member of the Graduate Faculty indicates active supervision of graduate students in systems engineering, applied mathematics, and statistics. His research contributes to the development of advanced optimization models for real-world systems affected by uncertainty, particularly in energy and logistics. Though no specific lab is mentioned, his work implies involvement in computational optimization and energy systems modeling research groups within the College of Engineering.

• Stochastic Programming
• Robust Optimization
• Distributionally Robust Optimization
• +7 more

Joseph D. Blackburn is a Professor and former Acting Dean at Vanderbilt University's Owen Graduate School of Management. His expertise spans Operations Management, focusing on time-based competition, sustainable supply chains, and inventory systems. He holds a Ph.D. in Operations Research from Stanford University (1971), an M.S. in Chemical Engineering from the University of Wisconsin (1964), and a B.S. in Chemical Engineering from Vanderbilt (1963). Prior to academia, he worked as a Chemical Engineer at Eastman Kodak. Research Interests: Blackburn is globally recognized for pioneering work on time-based competition in manufacturing and sustainable supply chain strategies. His work integrates operational efficiency with environmental and economic sustainability, addressing challenges such as inventory optimization, remanufacturing policies, and perishable product management. Awards: Founder’s Medalist (Vanderbilt), Fellow of the Production and Operations Management Society, Jo Van Nunen Prize (2016). Leadership: Served as President of the Production and Operations Management Society and on editorial boards of top journals like Production and Operations Management . Publications include seminal works in Management Science , Journal of Operations Management , and Decision Sciences , emphasizing practical applications of operations research in real-world supply chain challenges.

• Operations Management
• Supply Chain Management
• Time-based Competition
• +3 more

Dr. Erika Marsillac is Dean and Professor of Supply Chain Management at Old Dominion University's Strome College of Business. She has led research and taught internationally since 2004, specializing in sustainable supply chains, renewable energy systems, and international partnerships. Her leadership includes overseeing academic programs and research initiatives focused on logistics, sustainability, and business innovation. Education: Ph.D. in Manufacturing Management, University of Toledo (2010) M.B.A. in Information Technology, Goldey-Beacom College (2002) M.B.A. in Comprehensive General MBA, Goldey-Beacom College (2000) B.A. in Psychology, Pennsylvania State University (1992) Research Focus: Dr. Marsillac's work centers on integrating sustainability into global supply chains, with emphasis on photovoltaic systems, circular economy models, and automotive industry transformations. She investigates variability in production systems, renewable energy infrastructure, and strategies for mass customization. Publication Trends: Her recent articles emphasize renewable energy supply chains (particularly photovoltaics), queueing theory applications in manufacturing, and sustainable operations. Methodologies include case studies, simulation modeling, and bibliometric analysis. Awards & Fellowships: EV Williams Fellowships for Service & Teaching (2022) Outstanding Faculty Service Award (2021) Provost Fellowship (2021) Distinguished Alumni Award (2015) Grants & Projects: Secured $368,600+ in funding for renewable energy and educational initiatives, including solar tracking systems, photovoltaic facilities, and business pedagogy enhancements.

• Supply Chain Management
• Sustainability
• Renewable Energy
• +2 more

Michael Pangburn is the Ehrman V. Giustina Professor and Head of the Department of Operations and Business Analytics at the University of Oregon’s Lundquist College of Business. He specializes in operations-management research spanning pricing, retail operations, product-line design, and sustainability, with recent extensions into AI-guided decision support and healthcare operations. Education: PhD, University of Rochester, 1997 MS, University of Rochester, 1993 BS, Virginia Tech, 1990 Research Interests: Pangburn’s work centers on how operational policies—especially pricing, inventory disclosure, and product variety—shape consumer behavior and firm profitability. Current projects examine online inventory transparency, mass-customization guardrails, and optimal timing of product versioning. His studies integrate analytical modeling with empirical data to derive managerial guidelines for retailers, platforms, and service providers. Publication Trends: Across 15 recent articles (2004-2024), Pangburn addresses pricing and inventory intersections, sustainability considerations (take-back programs, packaging waste), and emerging service models (ridesharing, streaming rentals). A growing strand leverages AI techniques for feature selection and explores healthcare-service implications of platform economies. Doctoral Advising: He has mentored students who co-author research in leading journals; advisees include Monire Jalili, Saeed Piri, Meysam Rabiee, and Mohsen Mirhashemi.

• Operations Management
• Retail Operations
• Pricing Models
• +5 more

Jaejin Jang is Associate Professor and Department Chair of Industrial & Manufacturing Engineering at UW-Milwaukee. His research optimizes production systems and supply chains, with recent focus on biofuel subsidies and water-energy nexus management. Publications appear in International Journal of Energy Research and other leading journals. He developed algorithms for semiconductor fabrication throughput improvement and scheduling optimization under uncertainty. His doctoral work at Purdue focused on industrial system efficiency.

• Production System Optimization
• Supply Chain Management
• Biofuel Supply Chains
• +1 more

Russell King is the Henry Armfield Foscue Distinguished Professor of Industrial and Systems Engineering (ISE) at North Carolina State University's College of Engineering. He serves as the Director of Graduate Programs for the ISE department, responsible for administering degree programs serving approximately 190 graduate students. King is also a Fellow of the Institute of Industrial and Systems Engineers and has received numerous teaching and research awards throughout his 37-year career at NC State. Dr. King earned his Ph.D. in Industrial Engineering from the University of Florida (1986), following a Master of Industrial Engineering (1982) and Bachelor of Science in Systems Engineering (1980). His undergraduate journey was unconventional, having considered seven different majors including pre-med, biology, microbiology, biochemistry, math, and ornamental horticulture before selecting engineering. His doctoral work was completed under advisor Thom Hodgson, who moved from Florida to become NC State's ISE department head during King's studies. King's research focuses on solving practical problems across diverse areas including logistics, scheduling, and inventory control for additive manufacturing, remanufacturing, and military systems under risk. His work spans pricing strategies, stress control of 3D-printed parts, supply chain design, and military logistics optimization. His research approach bridges theoretical rigor with real-world applications, resulting in consulting engagements with Ford Motors, The Gap, Dillards Department Stores, and the Institute for Defense and Business. Analysis of his recent publications shows a consistent focus on military logistics applications (5 of 10 recent papers), additive manufacturing integration (3 papers), and supply chain risk management (4 papers), demonstrating how his research has evolved to address emerging challenges in manufacturing and defense logistics while maintaining practical relevance. C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University (2020, 2014, 2008, 2002, 1996, 1986) Albert G. Holzman Distinguished Educator Award, Institute of Industrial Engineers (2010) Henry Armfield Foscue Distinguished Professor (2017) Edward P. Fitts Distinguished Professor (2012) NCSU George H. Blessis Outstanding Undergraduate Advisor Award (2010) Teaching Excellence Award in the OR Division, Institute of Industrial and Systems Engineers (2019) Technical Innovation in Industrial Engineering, Institute of Industrial Engineers (2003) Fellow, Institute of Industrial Engineers (2006) As an academic leader, King has developed innovative programs including a dual Master of Industrial Engineering/Master of Business Administration program and a distance education Master of Engineering degree. His mentorship has produced three students who placed in the top 3 of IIE's dissertation award competition, with two taking first place. He has served as associate editor for the Journal of Manufacturing Systems and IIE Transactions, contributing to the scholarly community beyond his own research. Outside academia, King and his daughter are Masters of Taekwondo under Grand Master K.S. Lee of Morrisville, NC.

• Logistics
• Scheduling
• Inventory Control
• +4 more

Stephen C. Graves is the Abraham J. Siegel Professor of Management and a tenured Professor in the Operations Management group at MIT Sloan School of Management, with a joint appointment in the Department of Mechanical Engineering and affiliations at Singapore University of Technology and Design. Education : AB in Mathematics and Social Sciences, Dartmouth College MBA, Dartmouth College MS and PhD in Operations Research, University of Rochester Research Focus : Applications of operations research in manufacturing, distribution, and service operations, particularly in supply chain optimization, strategic inventory positioning, production planning, and online retailing challenges. Key Article Trends : Recent works explore digital twin technology, closed-loop supply chains, multi-echelon coordination, and automation in fulfillment systems, reflecting his expertise in integrating data analytics with operational frameworks. Honors : INFORMS Kimball Medal (2023) INFORMS Prize National Academy of Engineering Induction Fellowships: INFORMS, MSOM, POMS Advising & Industry Impact : Supervised 22+ PhD students, collaborated with companies like Amazon, IBM, and Boeing, and served as Chief Science Advisor to JDA Software.

• Operations Research
• Supply Chain Optimization
• Production Planning
• +5 more