جستجوی استاد راهنمای دانشگاهی

ONG Soh Khimمشاهده پروفایل

استاد

• Augmented Reality Applications in Manufacturing
• Intelligent Manufacturing Systems
• Sustainable Product Design
• +۴ مورد دیگر

ONG Soh Khim is a Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS) and a member of the NUS Graduate School. She is a Fellow of CIRP (International Academy for Production Engineering), the first Asian and fourth female Fellow globally. Her research focuses on augmented reality (AR) and digital twins in manufacturing, with applications in assistive technology and sustainable design. She has authored/co-edited 6 books, over 300 journal/conference papers, and holds an H-index of 66 (Google Scholar) and 52 (Scopus). She has held leadership roles, including serving as a Nominated Member of the Singapore Parliament (2005–2006) and on multiple NUS governance boards. Her honors include the Singapore Youth Award (2004), M. Eugene Merchant Award (2004), and the 2021 Long Service Medal. She advocates for gender diversity in STEM, leading initiatives like the Girls2Pioneers program. Her current roles include Senior Principal Investigator at NUS Research Institutes in Suzhou and Guangzhou, and Visiting Professorships at Chinese universities.

• Artificial Intelligence in Manufacturing
• Production Engineering
• Circular Economy in Manufacturing
• +۴ مورد دیگر

Dr. Amon Göppert serves as Professor and Chair of the Intelligence in Quality Sensing group at RWTH Aachen University's Laboratory for Machine Tools and Production Engineering (WZL). His work integrates artificial intelligence into manufacturing processes to enhance quality control, production efficiency, and sustainable practices. Göppert's research spans intelligent manufacturing systems with core expertise in AI-driven production engineering, circular economy applications, and advanced assembly systems. He investigates how machine learning optimizes production ramp-up, disassembly processes, and flexible manufacturing while developing sensor-based quality control solutions for industrial applications. His recent publications reveal strong trends toward AI implementation in production planning, with emphasis on worker assistance systems for disassembly, digital twin applications for real-time control, and mobile robotics in line-less assembly environments. Key focus areas include sustainable manufacturing, metrology innovation, and adaptive scheduling systems. Göppert leads multiple high-impact research initiatives: AI-driven Product Development: Machine learning for smart measurement strategies in metrology MetaVision Consortium: Industrial metaverse applications for AI-supported vision systems Generative AI for Non-Destructive Testing optimization Cluster of Excellence Internet of Production participation As Chief Engineer at WZL, he oversees technical implementation of research projects and collaborates with industry partners to translate innovations into practical manufacturing solutions, particularly in adaptive assembly systems and quality sensing technologies.

• Mechatronics
• Robotics
• Safety Engineering
• +۶ مورد دیگر

Yoshitaka Tanimizu is a Professor at the School of Creative Science and Engineering, Faculty of Science and Engineering, Waseda University. His research focuses on intelligent manufacturing systems, scheduling optimization, and human-centered production models. He holds a Doctor of Engineering degree from Osaka University and maintains an active research laboratory.

Junkai HEمشاهده پروفایل

استادیار

• Operations Research
• Supply Chain Management
• Remanufacturing
• +۳ مورد دیگر

Junkai HE serves as an Assistant Professor in the Operations, Supply Chain and Information Management department at KEDGE Business School and is affiliated with the CESIT research center since September 2024. He earned his PhD in mathematics and computer science from Paris-Saclay University (France) in 2020, following which he conducted postdoctoral research at IRT SystemX and Télécom SudParis. His research specializes in decision making under uncertainty through advanced modeling and algorithm design , with primary applications in supply chain management , remanufacturing , and maintenance optimization . Key methodologies include stochastic programming, multi-objective optimization, and predictive maintenance modeling for complex industrial systems. Analysis of his 2019-2024 publications reveals a consistent trajectory in applying operations research to sustainable industrial practices. His work increasingly focuses on uncertainty integration in disassembly line balancing and remanufacturing systems, while maintaining strong foundations in classical scheduling problems for manufacturing and logistics. Publications predominantly appear in top-tier journals like the International Journal of Production Economics and Computers & Operations Research. He teaches core operations management courses including operations research, production planning, and logistics, demonstrating active educational engagement. His research at CESIT likely involves industry collaborations addressing real-world supply chain challenges, though specific grant details are unmentioned. As a CESIT researcher, he contributes to KEDGE's industrial technology research initiatives, bridging theoretical optimization methods with practical applications in manufacturing and logistics systems. Current work appears oriented toward sustainable supply chain innovations and digital transformation of maintenance practices.

• Circular strategies
• Sustainable production
• Asset management
• +۱۳ مورد دیگر

Mirka Kans is an Associate Professor at the Department of Supply and Operations Management within the School of Business, Economics and Law at Chalmers University of Technology. Her research focuses on circular strategies and sustainable production, asset management and maintenance, and industrial automation and digitalization. Her work spans several key research areas including predictive maintenance, digital tools for data-driven maintenance and effective decision-making, digital maturity and digital transformation, and Industry 4.0/5.0 applications for both industrial systems and infrastructure. She employs various modeling approaches such as information modeling, business modeling, and ecosystem modeling in her research methodology. Mirka also maintains a strong interest in educational and competence development within these fields. Her publication record shows a pronounced focus on circular economy applications across multiple industries, particularly furniture and wood products, with significant contributions to understanding remanufacturing potential and sustainable business models. She has conducted extensive empirical research on digital transformation in maintenance practices, with particular attention to the Swedish maintenance ecosystem and infrastructure sectors like gravel roads. READY2 (2025-2027): Sustainable, robust and resource-efficient wood manufacturing industry with dynamic maintenance (VINNOVA) READY (2024-2025): Sustainable, robust and resource-efficient sawmill industry with dynamic maintenance CirkuTrä (2023-2028): Strategies for increased circularity in the wood processing industry RE:Furn (2023-2026): Efficient remanufacturing of furniture used in public environments She collaborates extensively with researchers including Jaime Campos, Chamirangika Madushani Hetti Arachchige, Dan Paulin, and Malin Löfving, producing interdisciplinary work that bridges theoretical frameworks with practical industrial applications across multiple sectors including manufacturing, infrastructure, and transportation.

• Industrial metrology
• Instrumented indentation test
• Performance measurement systems
• +۵ مورد دیگر

Maurizio Galetto serves as Full Professor and Director of the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. He holds multiple leadership positions including membership in the Academic Senate, Regulations Commission, and University Committee for Research, Technology Transfer and Services to the Territory. His academic career spans decades of teaching in quality engineering, mechanical measurements, and production systems across bachelor's, master's, and doctoral programs. Professor Galetto's research focuses on industrial metrology, instrumented indentation testing, performance measurement systems, quality engineering, and technological surface characterization. His work bridges theoretical metrology with practical industrial applications, particularly in manufacturing technologies and systems. His research intersects with key Sustainable Development Goals including Quality Education, Industry Innovation, and Responsible Consumption and Production. His publication record from 2023-2025 reveals strong emphasis on surface characterization techniques, quality control systems in manufacturing, collaborative robotics applications, and sustainable production methods. The research demonstrates consistent application of metrology principles to solve real-world industrial problems across diverse sectors including automotive, electronics, food processing, and additive manufacturing. Professor Galetto actively supervises PhD students working on quality engineering applications, with current research focusing on sustainable agri-food processes, collaborative robotics in quality control, and digital traceability systems. His research group has secured significant funding through competitive tenders, EU projects, and commercial contracts with major industrial partners including Electrolux and Lavazza. His laboratory work centers around the Quality Engineering research group (DIGEP), with special focus on metrology systems, surface characterization, and quality control methodologies. The research integrates advanced measurement techniques with statistical process control and digital twin technologies for enhanced manufacturing quality assurance.

• Environmental Engineering
• Sustainable Product Design
• Decision Analysis
• +۵ مورد دیگر

Deborah L. Thurston is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign, affiliated with the College of Engineering. She holds a Ph.D. (1987) and S.M. (1984) in Civil Engineering from the Massachusetts Institute of Technology, and a B.S. (1978) in Civil Engineering from the University of Minnesota. Her research focuses on sustainable design, lifecycle product strategies, decision analysis for engineering systems, and environmentally conscious manufacturing processes. She has served as Area Editor for The Engineering Economist (1993–2001) and Associate Technical Editor for ASME's Journal of Mechanical Design (1993–1998). Her research emphasizes integrating environmental considerations into product design and supply chain decisions, with contributions to remanufacturing systems, disassembly planning under uncertainty, and lifecycle profit optimization. Recent work leverages immersive computing technologies to enhance decision-making in complex engineering systems. Key publications include studies on sustainable lifecycle design (2010), disassembly sequence evaluation using VR (2015), and optimization frameworks for engineering systems (2017). Dr. Thurston has received numerous awards, including the 2014 Kos Ishii-Toshiba Award, ASME Fellow distinction (2010), and the 2011 American Academy of Environmental Engineering Honors Award. She has advised over 30 students in environmental engineering and mechanical design, with notable contributions to senior design projects such as the 'Zero Wastewater Discharge Operation' (2001) and 'Analysis and Design of Baby Changing Table' (2003). Her work bridges academic research and industry applications, addressing global challenges in sustainable manufacturing and policy integration.

Fazleena Badurdeenمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Lean Manufacturing
• Manufacturing Systems Modeling
• +۲ مورد دیگر

Fazleena Badurdeen is a Professor of Mechanical Engineering and Director of Graduate Studies for the Manufacturing Systems Engineering Program at the University of Kentucky , where she leads research in sustainable manufacturing and supply chain systems. She holds a Ph.D. and M.S. in Industrial Engineering from Ohio University, an M.B.A. from the Post Graduate Institute of Management, and a B.Sc. in Engineering from the University of Peradeniya. Research Interests: sustainable manufacturing, lean systems, supply chain modeling, and sustainable product design. Awards: Earl Parker Robinson Chair Professor in Mechanical Engineering. Notable Contributions: development of frameworks for product sustainability, circular economy integration, and risk assessment tools using Bayesian networks and simulation. Her recent Google Scholar publications focus on additive manufacturing , digital product passports , and real-time defect detection , with keywords spanning sustainable manufacturing, systems engineering, and environmental metrics. She has also contributed to education through curriculum development in systems thinking and graduate program leadership.

Robert Riggsمشاهده پروفایل

استادیار

• Systems Engineering
• Integer Programming
• Combinatorial Optimization
• +۶ مورد دیگر

Robert Riggs is an Assistant Professor and Director of Undergraduate Programs in Systems Engineering at the University of Virginia's School of Engineering and Applied Science. He holds a Teaching Track position and serves as Systems ME and VEO Advisor. His research focuses on integer programming, combinatorial optimization, healthcare systems engineering, Six Sigma, lean enterprise applications, and disassembly optimization. He has advised on projects spanning healthcare clinic efficiency, AI-driven systems, and logistics optimization. Education details are not explicitly provided in the text, but his roles indicate advanced academic training in engineering disciplines. His research explores topics such as healthcare patient flow optimization, AI applications in recommenders, and disaster management systems. Recent work includes refining an AI restaurant recommender system (2025), redesigning emergency department layouts (2025), and analyzing post-COVID-19 healthcare workflows (2023). Riggs' articles reflect a multidisciplinary approach, addressing challenges in healthcare, logistics, and sustainability. His work on truck scheduling in cross-docking centers (2024) and maritime electrification (2023) highlights expertise in supply chain systems. He has also explored ethical AI applications and threats (2023) and nonprofit employment strategies for adults with autism (2024). No scientific awards are mentioned, but his active research portfolio spans over a decade with contributions to disassembly line balancing (2015) and parameter-coupling models in manufacturing (2013).

• Industrial Engineering
• Safety Engineering
• Logistics and Supply Chain Management
• +۵ مورد دیگر

Francesco LOLLI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. His research focuses on industrial safety, sustainable manufacturing systems, logistics optimization, and ergonomic risk assessment. He actively contributes to advancing Industry 5.0 applications in battery remanufacturing and additive manufacturing. His work integrates technologies like Azure Kinect for ergonomic evaluations and promotes circular economy principles in energy and waste management. Education : Advanced degrees in Industrial Engineering (not explicitly detailed in the text). Research Interests : LOLLI’s expertise spans supply chain optimization, additive manufacturing cost analysis, sustainable energy systems, and occupational safety. He has pioneered methods for ergonomic risk assessment using motion capture systems and machine learning in supply chain decision-making. Publications : His recent works emphasize AM vs conventional manufacturing trade-offs, battery remanufacturing via Industry 5.0, and the role of machine learning in logistics. He has developed tools like Auto-AzKNIOSH for automated ergonomic evaluations. Awards : No specific awards mentioned in the provided texts. Advising & Grants : Active in teaching and research supervision across multiple engineering disciplines, including Management Engineering, Computer Engineering, and Mechatronics. His projects address spare parts inventory management, energy symbiosis networks, and exoskeleton efficacy in warehouses. Lab/Teams : Collaborates on interdisciplinary teams focused on industrial symbiosis, renewable energy integration, and smart logistics systems.

Jeremy Rickliمشاهده پروفایل

دانشیار

• Sustainable Manufacturing
• Disassembly Automation
• Digital Manufacturing
• +۵ مورد دیگر

Dr. Jeremy Rickli is an Associate Professor in the Department of Industrial and Systems Engineering at Wayne State University. He founded the Manufacturing and Remanufacturing Systems Laboratory (MaRSLab) , focusing on sustainable manufacturing, disassembly automation, and data-driven decision-making in production systems. His work bridges academic research with industrial applications through collaborations with Ford Motor Company and NSF-funded initiatives. Ph.D. in Industrial & Systems Engineering (2013), Virginia Tech M.S. (2008) and B.S. (2006) in Mechanical Engineering, Michigan Tech MaRSLab explores four key research areas: Uncertainty Management in Remanufacturing , Data-Driven Decision Innovation , Collaborative Robotic Automation , and Point Cloud Quality Monitoring . Notable projects include NSF REU Site leadership for sustainable manufacturing education and DOE-funded critical materials recovery research. His research trends emphasize manufacturing sustainability (11/15 articles), robot-human collaboration (5/15), and advanced quality monitoring (4/15). Key methodologies include data analytics (6/15), disassembly optimization (5/15), and point cloud analysis (3/15). Scientific Recognition Outstanding WSU ISE Faculty Award (2014/2015) NSF IGERT Trainee in Sustainable Futures (2006-2008) Advisor to award-winning student research (1st place, 2015 Great Lakes IIE Conference) Dr. Rickli mentors through both formal advisement (1 named student) and NSF REU program leadership. His NSF and MTRAC grants support transformative work in robotic welding , aluminum stress analysis , and sustainable systems . The lab maintains Detroit-focused outreach through Athletes for Charity STEM Youth Literacy Program and WSU STEM Day .

Lingxiang Albert Yunمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +۱۱ مورد دیگر

Dr. Lingxiang (Albert) Yun is a tenure-track Assistant Professor in the Department of Industrial and Systems Engineering at the University of North Carolina at Charlotte since June 2025. Previously, he served as a tenure-track Assistant Professor at Texas A&M University-Corpus Christi (2023-2025) and held research roles at the University of Illinois Chicago (2018-2023). His research bridges artificial intelligence, optimization, and systems engineering to address challenges in modern manufacturing, energy systems, and sustainable operations. Ph.D. in Industrial Engineering and Operations Research, University of Illinois Chicago (2023) M.S. in Environmental Engineering, University of California, Irvine (2017) B.S. in Environmental and Resource Science, Zhejiang University, China (2015) Research focuses on three pillars: Energy Systems Management (smart microgrids, electric mobility integration, grid resilience), Deep Reinforcement Learning (DRL) for Manufacturing (adaptive control, transferable algorithms, real-time optimization), and Generative AI for Design (reinforcement learning-guided diffusion models for protein engineering and drug discovery). His 12 recent publications span DRL applications in energy-flexible manufacturing, cloud remanufacturing logistics, and AI-augmented demand response frameworks. Key trends include interdisciplinary AI integration , resilient energy systems , and generative design optimization . Best Paper Award, IISE Annual Conference (2025) TEES Research Collaborations Award (2024) US Department of Transportation grant for safety analysis in Corpus Christi As principal investigator for Texas A&M's Research Enhancement Program and co-investigator on multiple grants, he leads the IDEA Lab, which develops data-driven decision-making frameworks for smart manufacturing and energy systems. Teaching includes IEEN 2302 Engineering Economics , IEEN 3302 Operations Research , and CEEN 5322 Optimization .

• Production Systems Engineering
• Supply Chain Design and Optimization
• Operational Research
• +۳ مورد دیگر

Professor Alexandre Dolgui is the Director of the Department of Automation, Production, and Computer Science (DAPI) at IMT Atlantique, France. A Fellow of IISE and Highly Cited Researcher (Clarivate), he serves as Editor-in-Chief of the International Journal of Production Research. His expertise spans production systems, supply chain engineering, and operational research, with over 360 journal articles and 37 books. Education: HDR (University of Technology of Compiègne, 2000), PhD in Cybernetics (Academy of Science of Belarus, 1990) Research focuses on production system design , supply chain resilience , and discrete optimization , addressing challenges in human-robot collaboration, Industry 5.0, and yield uncertainty. His work integrates machine learning with stochastic programming for adaptive manufacturing solutions. Key contributions include constraint programming models for assembly lines, robust optimization frameworks for biorefineries, and digital twin methodologies for supply chain risk management. He has received multiple best paper awards and led international research projects like DREAMS and DISC. Scientific leadership: Board member of IFPR, Senior advisor to Chinese Academy of Sciences, founder of EVI European Virtual Institute

Marinelli Marinaمشاهده پروفایل

استادیار

• Construction Management
• Facilities Management
• Big Data Analytics
• +۵ مورد دیگر

Marinelli Marina serves as Assistant Professor at the National Technical University of Athens (NTUA), School of Civil Engineering, with her office located in the Building of Strength of Materials at Zografou Campus. Her active contact details and current appointment date (February 2024) confirm ongoing faculty status within Greece's premier technical institution. Her research focuses on digital transformation in construction and infrastructure management, with particular expertise in Construction 4.0 technologies, big data analytics for facilities management, and human-robot collaboration systems. Current work explores lean-agile hybrid methodologies, sustainable construction practices, and value optimization in public infrastructure procurement across European and emerging markets. Analysis of her recent publication record (2020-2024) reveals strong methodological diversity including structural equation modeling, best-worst method, and interpretive structural modeling applied to construction technology adoption. Key research trends include the integration of Industry 4.0 concepts into Construction 5.0 frameworks, with growing emphasis on circular economy principles in metal disassembly and green cement production. Professional activities span UK facilities management sectors, Indian infrastructure contexts, and EU public procurement systems, demonstrating cross-cultural research applicability. Her work consistently addresses implementation barriers for emerging technologies while developing practical frameworks for value creation in civil engineering projects.

Lihui Wangمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Human-Robot Collaboration
• Brain Robotics
• +۵ مورد دیگر

Lihui Wang is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology in Sweden. He leads the Centre of Excellence in Production Research (XPRES) and holds leadership roles in organizations like CIRP and NAMRI/SME. His research focuses on human-robot collaboration, digital twin technology, and Industry 5.0 . He has authored over 750 publications and received numerous awards, including the SME Gold Medal (2024). Education: PhD and MSc from Kobe University (Japan), 1993 and 1990 BSc from China, 1982 Research Interests: Prof. Wang’s work spans real-time monitoring, brain robotics, sustainable production systems , and cyber-physical systems . His recent efforts emphasize AI-driven smart manufacturing , including predictive maintenance and human-centric collaboration frameworks. His labs explore applications like mixed-reality assembly guidance and adaptive robotic systems . Awards & Recognition: 2024 SME Gold Medal 2020 '20 Most Influential Professors in Smart Manufacturing' Eight NRC Institute Awards (2002–2005) Fellowships: CAE, CIRP, ASME, SME, AET Grants & Labs: Leads projects like SMART (Predictive Maintenance for Pharma) and co-leads the Swedish Production Academy . His labs include the Human-Robot Collaboration Group and AI for Manufacturing Initiative .