Find Academic Supervisors

Tao SunView profile

Associate Professor

• Additive Manufacturing
• Materials Science
• In Situ/Operando Characterization
• +5 more

Prof. Tao Sun is an Associate Professor of Mechanical Engineering at Northwestern University, leading the FAST-AM Lab. His research focuses on advancing additive manufacturing technologies through fundamental studies of energy-matter interactions, process monitoring, and material characterization using synchrotron X-ray imaging and machine learning. He holds a PhD from Northwestern University and MS/BS degrees from Tsinghua University. Education : PhD (Northwestern), MS/BS (Tsinghua University) Research interests include additive manufacturing processes (laser powder bed fusion, directed energy deposition), in situ/operando characterization, machine learning for defect detection, and synchrotron-based techniques. Recent work emphasizes real-time process monitoring and optimizing microstructural control. Publications span porosity mechanisms, melt pool dynamics, and multi-physics modeling, with a focus on bridging experimental observations with computational models. Awards include the TMS Young Innovator Award for contributions to additive manufacturing materials science. Labs/Teams: FAST-AM Lab explores advanced manufacturing via cutting-edge characterization tools and AI integration.

Roger D. EastmanView profile

Professor

• Computer Vision
• Robotics
• Immersive Media Design
• +3 more

Roger D. Eastman is a Professor of the Practice in the Department of Computer Science at the University of Maryland, College Park, and serves as Director of the Immersive Media Design Program. He holds a Ph.D. (1990) and B.A. (1979) in Mathematics and Computer Science from the University of Maryland and University of Missouri-Columbia, respectively. His research focuses on computer vision applications in robotics, remote sensing, and immersive media. Notable projects include work with NASA-Goddard on satellite imagery registration, NIST on robotics perception standards, and JHU on medical imaging for glaucoma diagnosis. Current efforts emphasize XR visualization for Earth science and algorithmic art. Teaching priorities include introductory computer science, non-major courses in computer art with Processing/Arduino, and graphics/HCI. He has supervised undergraduate research leading to advanced academic and industry careers in VFX/game design. Publications span image registration techniques, sensor ontology development, and XR-based scientific visualization. Collaborations include Google Scholar profiles and a Cambridge Press book on remote sensing registration.

Kevin W. LindermanView profile

Professor

• Supply Chain Management
• Operations Management
• Process Improvement (Six Sigma, Lean)
• +4 more

Kevin W. Linderman is a Professor and Department Chair in the Department of Supply Chain & Information Systems at Pennsylvania State University's Smeal College of Business. Previously, he held the Curtis L. Carlson Professorship at the University of Minnesota's Carlson School of Management. He holds a Ph.D. in Operations Research/Operations Management from Case Western Reserve University (1998), along with MS degrees in Management Science (Case Western Reserve, 1996) and Mathematics (Miami University, 1989), and a BA in Mathematics/Philosophy from Minnesota State University Moorhead (1987). His research focuses on process improvement methodologies (e.g., Six Sigma, Lean), environmental management, innovation, and supply chain resilience. He collaborates with prominent firms like 3M, Cargill, and Alibaba through NSF grants and case studies. His work has been published in top journals such as Management Science , Manufacturing & Service Operations , and Production and Operations Management . Key Awards: 2020 Decision Science Journal Top 10 Scholar 2016 Academy of Management Operations Management Scholar Award Multiple Carlson School of Management Research Awards Teaching & Mentorship: Notable for the 2018 Supply Chain Teaching Award (student-nominated) and co-advising doctoral dissertations recognized by the Elwood S. Buffa Award. Grants & Industry Partnerships: NSF-funded projects with 3M, Cargill, and others, focusing on operational efficiency and sustainability. Linderman's research bridges academia and practice, emphasizing actionable insights for organizational challenges. His recent work explores post-M&A supply chain strategies, metacognitive approaches to innovation, and telehealth adoption dynamics.

Stefan VoßView profile

Professor

• Logistics Optimization
• Metaheuristics
• Sustainable Port Operations
• +3 more

Prof. Dr. Stefan Voß is a Professor at the Institute of Information Systems within the Hamburg Business School (HBS) at the University of Hamburg. He serves on the HBS Dean's Office and focuses on logistics optimization, metaheuristics, and sustainable port operations. His work integrates AI, machine learning, and operations research to address challenges in transportation, supply chain management, and public infrastructure. Research Interests: Dr. Voß specializes in: Metaheuristic algorithms (e.g., fixed set search, GRASP, VNS) Optimization of port and maritime logistics (berth allocation, quay crane scheduling) AI applications in transportation (predictive analytics, emotion recognition) Sustainable operations (green port infrastructure, EV charging networks) Public transport efficiency (bus scheduling, delay prediction) Publications: Recent work emphasizes AI-driven logistics, robust optimization under uncertainty, and digital twin applications in ports. His 2025 studies explore domain-generalized emotion recognition and dynamic seaport automation. 2024 articles highlight multi-objective scheduling, EV fleet optimization, and sustainable container storage. Labs/Teams: Leads research at the Institute of Information Systems, collaborating on port sustainability projects (e.g., Port of Hamburg) and digital innovation in logistics systems.

Kevin M. TaaffeView profile

Professor

• Healthcare Logistics
• Inventory Management
• Evacuation Planning
• +5 more

Dr. Kevin M. Taaffe serves as the Harriet and Jerry Dempsey Professor and Department Chair of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. He is also a Fellow of the Institute of Industrial and Systems Engineers (IISE). With expertise spanning healthcare logistics, transportation and inventory management, Dr. Taaffe leads research initiatives that integrate optimization and simulation modeling to solve complex systems problems across healthcare, manufacturing, and emergency response domains. Dr. Taaffe's educational background includes: BS in Industrial Engineering (with honors) from University of Illinois at Urbana-Champaign (1988) MS in Industrial Engineering from University of Illinois at Urbana-Champaign (1990) PhD in Industrial and Systems Engineering from University of Florida (2004) Dr. Taaffe's research program focuses on complex decision-making systems where uncertainty plays a critical role. His work spans four primary domains: healthcare logistics (particularly perioperative services), inventory management, evacuation planning, and transportation and logistics. He approaches these areas through the lens of operations research, developing models that account for system interdependencies and human factors. His research is characterized by strong industry partnerships and practical applications that address real-world challenges in hospital operations, supply chain management, and emergency response planning. Dr. Taaffe's recent publications reveal a strong emphasis on healthcare systems engineering, particularly in operating room optimization, surgical scheduling, and physician workflow analysis. His work consistently applies operations research methodologies to improve efficiency and safety in healthcare delivery. The research shows progression from theoretical modeling toward implementation-focused studies that incorporate mobile technology, data analytics, and behavioral considerations to create sustainable improvements in complex healthcare systems. Among Dr. Taaffe's notable recognitions: Harriet and Jerry Dempsey Professor (endowed chair position) Fellow of the Institute of Industrial and Systems Engineers (IISE) Dr. Taaffe has been deeply involved in student mentorship throughout his career. He served as the IISE faculty advisor for 12 years and has led Creative Inquiry student research groups since 2005. His research has been supported by multiple funding sources including the National Science Foundation (NSF), South Carolina state agencies, and industry partners such as Greenville Hospital System and Medical University of South Carolina. He maintains strong industry connections through Clemson's Industrial Engineering Department membership in the Center for Excellence in Logistics and Distribution (CELDi), an NSF-sponsored Industry/University Cooperative Research Center. Dr. Taaffe leads research teams focused on healthcare logistics, inventory management, evacuation planning, and transportation systems. His lab work involves developing simulation models, optimization algorithms, and mobile applications to improve decision-making in complex systems. Current projects include creating learning systems using mobile technology in perioperative services, which integrates artificial intelligence, data analytics, and staff training to enhance communication and coordination across hospital departments.

Konstantinos TsagarakisView profile

Professor

• Circular Economy
• Sustainability
• Environmental Economics
• +5 more

Konstantinos Tsagarakis is a Professor of 'Economics of Environmental Science and Technology' at the Department of Production Engineering and Management, Technical University of Crete. His work focuses on circular economy, sustainability, and environmental economics. He serves as Specialty Chief Editor in Frontiers in Sustainability , and holds editorial roles in Water Policy , Healthcare Analytics Journals , and others. Education: PhD in Public Health (University of Leeds, 1999), BS in Economics (University of Crete, 2002), Diploma in Civil Engineering (Democritus University of Thrace, 1995). Research interests include circular economy implementation, sustainable development, energy economics, and big data applications. He has published over 100 papers in refereed journals. Recent work explores LinkedIn data for analyzing sustainability trends, policy compliance, and industry practices. Key contributions include frameworks for evaluating corporate sustainability performance, environmental policy analysis, and integrating technology (e.g., AI, cloud computing) into sustainability strategies. He has edited special issues on circular economy, renewable energy, and smart manufacturing in journals like Renewable Energy and Big Data and Cognitive Computing . No specific grants or awards are listed, though his editorial roles and prolific publication record highlight significant academic influence. Labs/Teams: Active in the Department of Production Engineering and Management’s sustainability research groups, focusing on interdisciplinary projects linking economics, technology, and environmental policy.

• Robotic Vehicles
• Computational Intelligence
• Cooperative Control and Optimization
• +3 more

Lefteris Doitsidis is an Associate Professor at the School of Production Engineering and Management, Technical University of Crete. He holds a PhD in Production and Management Engineering from the same institution (2008), with prior academic positions at the Department of Electronics, Hellenic Mediterranean University. His professional journey includes visiting scholar roles at the University of South Florida, USA. Research focuses on robotic systems, including autonomous navigation of UAVs/AUVs, multirobot teams, computational intelligence, and educational robotics. He leads the Intelligent Systems and Robotics Laboratory, developing tools like HYDRA for STEM education and frameworks for industry 4.0 applications such as bin-picking and precision agriculture. His work integrates control systems optimization, energy efficiency in manufacturing, and digital twin technologies. Over 65 publications span journals, conferences, and books, emphasizing practical implementations like ROS-based autonomous vehicle testbeds and energy management systems for electric vehicles. Key contributions include UAV path planning algorithms, swarm robotics coordination, and sensor fusion techniques. Current research trends emphasize sustainability in manufacturing, educational robotics platforms, and autonomous systems validation through advanced algorithms like Deep Deterministic Policy Gradient.

Yawen WangView profile

Assistant Professor

• Gear Dynamics
• Structural Vibration and Acoustics
• Active Noise Control
• +3 more

Dr. Yawen Wang is an Assistant Professor of Research in the Mechanical and Aerospace Engineering Department at The University of Texas at Arlington (UTA). He directs the Vibro-Acoustics and Sound Quality Research Laboratory and leads the Hypoid and Bevel Gear Mesh and Dynamic Modeling Consortium. His academic career includes adjunct roles at the University of Cincinnati and teaching positions since 2017. Dr. Wang holds a PhD in Mechanical Engineering from the University of Cincinnati (2017), an MS from the same institution (2013), and a BS from Chongqing University (2010). Educational Background PhD in Mechanical Engineering, University of Cincinnati, 2017 MS in Mechanical Engineering, University of Cincinnati, 2013 Bachelor of Science in Mechanical Engineering, Chongqing University, 2010 Research Expertise Dr. Wang specializes in precision machine elements (gears, bearings), gear noise/vibration, structural acoustics, active noise control, automotive NVH, and data-driven design. His work integrates computational modeling, experimental techniques, and analytical approaches to solve engineering challenges in powertrain systems and vehicle dynamics. Recent projects include optimizing hypoid gear designs, improving drivetrain prognostics via Vibration Resonance Spectrometry (VRS), and reducing electric vehicle noise through advanced materials and control systems. Professional Contributions He has authored/co-authored over 70 journal/conference papers and collaborates with industry leaders like Ford, GM, Daimler, and Toyota. His awards include the InterNoise Hallberg Foundation Award (2015) and NoiseCon Michiko Finegold Award (2014). Dr. Wang serves on ASME committees and chairs sessions at the International Power Transmission and Gearing Conference. Academic Leadership He advises graduate students, including Chia Ching Lin for a dissertation on axle system dynamics. Teaching responsibilities span mechanical vibrations, structural dynamics, and powertrain design. Dr. Wang also oversees grants from sponsors such as Jian’an Industrial Co., advancing gear mesh modeling and dynamic analysis. Labs & Consortia As director of the Vibro-Acoustics Lab, he focuses on sound quality design, active control systems, and vehicle interior acoustics. The Gear Consortium he leads develops tools like HGSim for gear mesh simulation, with recent updates to version 7.8.3 (2024).

Ryer BeckerView profile

Academic

• Forest Operations
• Smart Forestry
• Workforce Development
• +3 more

Ryer Becker is an Assistant Research Professor at the University of Idaho's Department of Forest, Rangeland and Fire Sciences within the College of Natural Resources. He holds a Ph.D. (2022), M.S. (2017), and multiple B.S./A.A.S. degrees (2013-2014) in forest-related fields from Paul Smith's College and the University of Idaho. His research focuses on workforce development, smart forestry technologies, remote sensing applications, and forest operations safety. He specializes in leveraging technology such as LiDAR, GNSS-RF devices, and smartphone-based systems to improve forest management practices and engage future forestry professionals. Dr. Becker has authored/co-authored peer-reviewed articles on topics including fuel treatment modeling, equipment activity recognition, and mastication effects on forest ecosystems. His 2024 work highlights innovative approaches to workforce engagement through technology. He teaches courses like FOR 272 (GIS Applications) and FOR 230 (Forest Operations). Awarded the 2023 Western Region Technical Writing Award and 2015 SAF Presentation Award, his expertise bridges applied research with practical training for the forest products industry.

Fu HuView profile

Professor

• Trauma Care
• Medical Informatics
• Critical Care Monitoring
• +5 more

Fu Hu, Ph.D., is a Professor in the Department of Anesthesiology at the University of Maryland School of Medicine. He holds secondary appointments in Epidemiology & Public Health and Surgery. His research focuses on trauma care, predictive analytics, telemedicine, and medical informatics, with an emphasis on leveraging continuous vital signs and machine learning to improve patient outcomes. Key areas include traumatic brain injury monitoring, blood transfusion prediction, and critical care systems design. Education: B.S. in Electrical Engineering (Shanghai University, China, 1984), M.S. and Ph.D. in Computer Science (University of Maryland Baltimore County, 1992 and 2013). Research interests span medical AI, surgical workflow optimization, and telemedicine platforms. His work integrates advanced computational methods with clinical data to address challenges in trauma and critical care. Recent efforts include developing algorithms for real-time patient monitoring and decision support systems. He has led/co-investigated multiple grants on topics like non-invasive monitoring, trauma patient outcomes, and telemedicine. His publications highlight innovations in predictive modeling, medical imaging analysis (e.g., retinal disease detection), and clinical informatics. Notable collaborations include studies on automated ICP monitoring and the ONPOINT project for trauma care.

Ananth V. IyerView profile

Professor

• Supply Chain Logistics
• Emergency Response Management
• Digital Education Distribution
• +3 more

Ananth V. Iyer is the Dean Professor of Operations Management and Strategy at the School of Management, University at Buffalo. He holds a PhD and MBA from the University of Florida, along with a BFA from the North Carolina School of the Arts. His research focuses on emergency response logistics, sustainable supply chain systems, and digital education distribution. He has pioneered models for contingency management, supply chain vulnerability analysis, and innovative educational technologies. Key professional contributions include developing frameworks for emergency resource allocation, evaluating recycled content claims in manufacturing, and optimizing winter operations logistics. His work frequently intersects with public policy, as seen in studies on freight infrastructure planning and INDOT project impacts. Education: PhD & MBA (University of Florida), BFA (North Carolina School of the Arts) Affiliations: Decision Sciences Institute, American Production and Inventory Control Society Labs/Teams: Academic Director of Digital Access Education Program, member of Extreme Events Research Area & Geohazards Studies Center His publications span prestigious journals like Journal of Operations Management and European Journal of Operational Research , with a focus on practical applications in public safety and industry. Awards include SUNY’s Chancellor’s Award and multiple Decision Sciences Institute recognitions.

Daniel KwasnitschkaView profile

Assistant Professor

• Digitalization in Manufacturing
• Behavioral Effects of Technology
• Workforce Productivity
• +3 more

Daniel Kwasnitschka is an Assistant Professor of Management Science at the Darla Moore School of Business, University of South Carolina. His research focuses on the behavioral implications of digitalization in manufacturing, leveraging technologies like wearables, IoT, AI, and virtual reality. He holds a Ph.D. from ETH Zurich (2024) and degrees from Karlsruhe Institute of Technology (B.Sc. 2017, M.Sc. 2020). Education: Ph.D. in Management Science, ETH Zurich, Switzerland, 2024 M.Sc. in Industrial Engineering and Management, Karlsruhe Institute of Technology, Germany, 2020 B.Sc. in Industrial Engineering and Management, Karlsruhe Institute of Technology, Germany, 2017 Research Interests: Kwasnitschka investigates how new technologies influence worker behavior and operational KPIs in manufacturing. His work bridges academic theory with industrial practice, collaborating with companies like Mercedes, Audi, and BMW. Key themes include wearable technology adoption, AI-driven teaching methods, and feedback mechanisms in smart manufacturing environments. Research Trends in Articles: His publications emphasize experimental approaches to digitalization challenges, exploring topics like smartwatch-based task assignment, AI-generated educational content, and immersive VR training. These studies highlight the dual focus on technological implementation and human behavioral outcomes in industrial settings. Advising & Grants: No specific grants or advisees are listed. His collaborations primarily involve field experiments with industry partners. Labs/Teams: Engaged with manufacturing innovation teams and digital technology adoption initiatives at the Darla Moore School of Business.

Han ZhangView profile

Lecturer

• Supply Chain Management
• Operations Management
• Blockchain Technology
• +3 more

Han Zhang is a Lecturer in Business Analytics at Coventry University’s School of Strategy and Leadership (SSL), part of the College of Business and Law. She holds roles as Module Leader for Data Mining Methodologies and Applications (PG), Associate Course Director for BA Business Administration, Progress Coach for MSc International Business Management Year 3, and Academic Conduct Officer. Her industry experience includes six years in sales and exporting management in the stainless-steel industry in China and the Middle East. Qualifications: PhD (Supply Chain Management, current), PGCert Academic Practice (Coventry University, 2022), MSc International Business Management (Coventry University, 2019, Distinction), BA E-commerce (Hubei University of Education, 2011). Research focuses on advanced technologies in manufacturing supply chains, including blockchain applications in steel manufacturing, Industry 4.0, circular economy, and sustainable operations. Key projects address blockchain’s role in supply chain resilience during crises like the pandemic, digital circular economy transitions, and systemic innovations in manufacturing. Her work aligns with UN Sustainable Development Goals (SDGs) for industrial sustainability and societal impact. Publications include peer-reviewed contributions on blockchain’s impact on sustainable supply chains and resilience in steel manufacturing contexts. She is a member of the British Academy of Management since 2022 and teaches at the High Value Manufacturing Catapult’s Emerging Skills Project.

B. Wayne BequetteView profile

Professor

• Biomedical Process Systems
• Chemical Process Control
• Cell and Gene Therapies
• +4 more

B. Wayne Bequette is a Professor of Chemical and Biological Engineering at Rensselaer Polytechnic Institute and Technology Manager for the Northern Regional Center of CESMII. His research focuses on biomedical and chemical process systems modeling, particularly CAR-T cell therapy automation, diabetes technology, and smart manufacturing. Education: B.S. (1980), M.S.E. (1985), Ph.D. (1986) from University of Arkansas and University of Texas His work addresses critical challenges in cell therapy manufacturing (reducing treatment time/cost) and diabetes technology (automated insulin delivery systems). He pioneers human-in-the-loop control frameworks integrating patient monitoring with cyber-physical systems. Recent publications emphasize AI-driven process monitoring (2025) and smart manufacturing pedagogy (2024). Awards include fellowships from IEEE, AIChE, and AIMBE. Teaches flipped-classroom courses in process systems engineering. Scientific Awards IEEE Fellow (2016) AIMBE Fellow (2014) AIChE Fellow (2008)

• Supply Chain Management
• Sustainable Operations
• Logistics Innovation
• +3 more

Dr Michael Wang is Senior Lecturer in Sustainable Operations & Supply Chain Management and Course Director for MSc Logistics & Supply Chain Management at Kingston University. His research explores human-centered operations, supply chain digitalization, and sustainability, with recent work addressing Industry 5.0, logistics resilience, and low-carbon transitions. Research Trends: Recent publications emphasize the intersection of human factors and technology in supply chains, with consistent focus on sustainability metrics and risk mitigation. Articles frequently analyze how workforce engagement, digital tools, and agile methodologies enhance operational resilience amid disruptions like extreme weather and geopolitical shifts. Professional Credentials: Chartered Member (CILT) in UK/AU/NZ/UAE Fellow of Higher Education Academy Member of Royal Society NZ