Find Academic Supervisors

Sheryl Grace is an Associate Professor of Mechanical Engineering at Boston University, leading the Unsteady Fluid Mechanics & Acoustics Laboratory (UFMAL). Her primary appointment is in the Department of Mechanical Engineering within the College of Engineering. She holds a PhD from the University of Notre Dame. Her research focuses on unsteady aerodynamics, aeroacoustics, and fluid-structure interactions, with applications in aerospace systems, propulsion technologies, and biological acoustics. Notable projects include NASA-funded work on quieter vertical lift vehicles and computational modeling of gerbil hearing mechanics. Professor Grace’s research interests span aerodynamics, fluid dynamics, and acoustics. She develops analytical and computational models to predict sound and vibration generated by unsteady flows interacting with solid structures. Recent studies include noise reduction in aircraft wings, turbine blade fatigue analysis, and acoustic scattering in gerbil ears. Her work bridges theoretical models with practical engineering solutions, emphasizing cost-effective predictive tools for next-generation systems. Her publications highlight advancements in shock-droplet interactions, cavitation modeling, and machine learning applications in aeroacoustics. Collaborative projects include multi-institutional efforts to address urban air vehicle noise challenges. While no explicit awards are listed, her contributions to computational acoustics and fluid dynamics are recognized through extensive peer-reviewed output. Advising and grants: Professor Grace leads the UFMAL lab and has secured funding from agencies like NASA. Her research integrates fluid mechanics, acoustics, and computational methods to address industrial and environmental noise issues. She collaborates across disciplines, including mechanical engineering, aerospace, and biomedical acoustics.

• Aerodynamics
• Fluid Dynamics
• Acoustics
• +4 more

Dr. Anas Iftikhar is an International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at Lancaster University's Management School, United Kingdom. He is affiliated with the Centre for Productivity and Efficiency and contributes to the Supply Chain Management department with research focusing on contemporary supply chain challenges. Dr. Iftikhar completed his Ph.D. in Economics, Management, and Quantitative Methods from the University of Salento, Italy in May 2021. During his doctoral studies, he held visiting researcher positions at Ghent University (Belgium) and Cardiff Business School at Cardiff University (UK), gaining valuable international research experience. Prior to his academic career, he accumulated industry experience in inventory planning and operations management. Dr. Iftikhar's research primarily investigates how supply chain capabilities enhance resilience in disruptive and complex environments. His work explores the intersection of supply chain complexity, digital technologies, and resilience strategies. He employs methodological approaches including systematic literature reviews, meta-analysis, and structural equation modeling. His research has significant implications for organizations navigating geopolitical uncertainties, digital transformation, and supply chain disruptions. His publication portfolio demonstrates a clear evolution from foundational work on network trust and ripple effects to more sophisticated examinations of digital transformation's role in supply chain resilience. Recent publications increasingly focus on the synergistic effects of multiple capabilities (network capability, innovation ambidexterity) in addressing complex challenges like geopolitical turmoil. The research trajectory shows a progression from single-factor analyses to more complex, integrated models that better reflect real-world supply chain dynamics. Dr. Iftikhar actively participates in the academic community through presentations at major conferences including the European Operations Management Association (EUROMA) annual conference, IFAC Conference on Manufacturing Modelling, Management & Control, and Industrial Engineering Operations Management (IEOM) society events. He has also delivered invited talks such as 'Contemporary Issues in Logistics Management' at Bukhara State University. As an educator, Dr. Iftikhar is willing to supervise PhD students in supply chain resilience, disruption management, supply chain complexity, and innovative technologies in supply chain management. His industry experience enriches his teaching approach, bridging theoretical concepts with practical applications. His research outputs have been published in leading Operations and Supply Chain Management journals including International Journal of Production Research, Production Planning and Control, Annals of Operations Research, and Journal of Business Research.

• Supply Chain Resilience
• Supply Chain Complexity
• Digital Transformation
• +5 more

Lynn Wu is an Associate Professor at the Wharton School of the University of Pennsylvania, focusing on the intersection of artificial intelligence, analytics, and innovation. She teaches MBA, undergraduate, and doctoral courses on emerging technologies' transformative impact on business and society. Education: B.S. in Finance and Computer Science, MIT M.S. in Computer Science, MIT Ph.D. in Management Science, MIT Sloan Her research explores how AI and digital platforms reshape productivity, workforce dynamics, and innovation strategies, with applications in antitrust policy and startup ecosystems. Key trends in her publications include AI's role in post-IPO innovation, robotics' impact on managerial roles, and social media's ability to mitigate funding disparities. Scientific Awards: Kauffman Best Paper Award (2019) Sandy Slaughter Early Career Award (2019) AIS Early Career Award (2018) ISR Best Published Paper (2014) Best Paper Awards at ICIS (2009), HICSS (2013), etc. She has collaborated with IBM, Google, Meta, and advised the U.S. Department of Justice and World Bank, with her work cited by The New York Times , The Economist , and Harvard Business Review .

• Artificial Intelligence
• Enterprise Social Media
• Innovation
• +6 more

Iris D. Tommelein serves as the Roy W. Carlson Distinguished Professor in the Civil and Environmental Engineering Department at the University of California, Berkeley's College of Engineering, where she directs the Project Production Systems Laboratory (P2SL). A globally recognized pioneer in Lean Construction, she has revolutionized architecture-engineering-construction (AEC) practices through research, industry workshops, and leadership since co-founding the Lean Construction Institute in 1997. Her educational foundation spans multiple disciplines: Ph.D. in Civil Engineering (Construction Engineering and Management), Stanford University, 1989 M.S. in Computer Science (Artificial Intelligence), Stanford University, 1989 M.S. in Civil Engineering (Construction Engineering and Management), Stanford University, 1985 B.S. (5-year degree) in Civil Engineer-Architect, Vrije Universiteit Brussel, Belgium, 1984 Professor Tommelein's research centers on transforming construction processes through Lean principles and digital innovation . Her work pioneers takt planning for workflow reliability, industrialized construction for labor and sustainability challenges, and mistakeproofing to eliminate errors. She integrates digital twins , AI , and optimization to develop practical decision-support systems for supply chains, logistics, and production management. Recent focus includes modular offsite construction and Industry 4.0 applications. Analysis of her 2023-2025 publications reveals intensifying research on takt planning maturity models and industrialized construction feasibility , with growing emphasis on mass timber automation and visual management systems. Her work consistently bridges lean theory with practical implementation across megaprojects, subcontracting networks, and heavy civil engineering. Her exceptional contributions have earned: Lean Pioneer Award (Lean Construction Institute, 2015) National Academy of Construction induction (2019) PPI Technical Achievement Award (2022) Robert B. Harris Award (University of Michigan, 2024) ASCE Construction Management Award (2024) - first woman recipient in 51 years Through the P2SL, she leads industry-collaborative research on production system design, mistakeproofing frameworks, and digital transformation. Her grant-funded projects develop assessment tools for industrialized construction adoption and takt planning methods adaptable to diverse project types. She actively mentors graduate students and drives knowledge transfer via workshops and the annual Construction Innovation Day. The Project Production Systems Laboratory (P2SL) operates as a global hub for construction innovation, partnering with owners, contractors, and suppliers to implement lean production systems. Current initiatives include developing serious games for mistakeproofing training, optimizing work density methods for heavy civil projects, and creating digital twins for real-time construction management.

• Lean construction
• Takt planning
• Industrialized Construction
• +12 more

Matt Vidal is Reader in Sociology and Political Economy at Loughborough University London's Institute for International Management and Entrepreneurship. He holds a PhD in Sociology from the University of Wisconsin-Madison and has previously been a postdoctoral fellow at the UCLA Institute for Research on Labor and Employment, a research fellow at the Weizenbaum Institute for the Networked Society, and a visiting researcher at Paris Dauphine University and the Max Planck Institute for the Study of Societies. His research focuses on work, organizations, employment relations, labor markets, capitalist growth regimes, and capitalist crises. Vidal has developed an original theoretical framework called 'organizational political economy,' which integrates concepts from organization theory into a classical Marxist framework. His work emphasizes how contradictory developments in labor management lead to divided management approaches, where some managers adopt best practices while others settle for 'good enough' solutions, making capitalist management increasingly a source of organizational inefficiency. Vidal's research methodology combines rich empirical fieldwork (including interviews with 109 individuals across 31 firms and 169 hours of direct observation) with rigorous theoretical synthesis. His work examines not only manufacturing but also extends to education, healthcare, software development, and other sectors where managers face contradictory pressures between standardization versus discretion and deskilling versus upskilling. His 2022 book Management Divided: Contradictions of Labor Management published by Oxford University Press has received significant acclaim from prominent scholars across multiple institutions, establishing him as an important voice in critical management studies and labor sociology. The book presents a synthetic theory explaining why capitalist management often adopts relatively inefficient practices despite the existence of better alternatives. Vidal has also edited The Oxford Handbook of Karl Marx and Comparative Political Economy of Work , and has published over twenty articles or book chapters on work, human resource management, employment relations, labor markets, comparative political economy, and social theory. His contributions have been praised for their theoretical depth, empirical richness, and interdisciplinary approach that bridges sociology of work, organization theory, institutional theory, and Marxist analysis. His work has been recognized through extensive scholarly reviews and endorsements from leading academics including Paul Adler (University of Southern California), Ruth Milkman (CUNY Graduate Center), and Nathan Wilmers (MIT), who commend his ability to develop complex theoretical frameworks grounded in rich empirical evidence from American manufacturing.

• Sociology of Work
• Political Economy
• Labor Process Theory
• +7 more

Samuel Jean Bassetto is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He serves as Director of the Continuous Improvement Laboratory (LABAC) and holds membership in multiple prestigious research groups including the Research Group on Globalisation and Management of Technology (GMT), Poly-Industries 4.0 Laboratory, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and Institute for Data Valorization (IVADO). Dr. Bassetto's research spans multiple disciplines, focusing on continuous improvement through the integration of engineering, artificial intelligence, cognitive science, psychology, and design. His primary sphere of excellence is in New Frontiers in Information and Communication Technologies, with secondary expertise in Modeling and Artificial Intelligence and Human Health. He develops tools that place humans at the center of technology to enhance organizational performance while respecting human rhythms and cognitive limitations. His recent publication portfolio reveals a strong interdisciplinary approach, with research bridging industrial engineering, cognitive neuroscience, and AI ethics. His work addresses practical challenges in lean manufacturing assessment, racial bias in medical AI systems, cognitive data collection in natural environments, and condition monitoring for industrial machinery. The research consistently demonstrates a commitment to developing practical solutions that integrate human factors with technological innovation. NSERC Synergy Prize for Innovation recipient Principal investigator on multiple research grants from NSERC, FRQ, and MITACS Collaborations with over a dozen institutions across multiple countries Supervision of over 150 highly qualified personnel throughout his career Dr. Bassetto teaches specialized courses including CAP7011 (Creativity in Research), IND8444 (Continuous Improvement), IND8203 (Industrial Launch), and previously taught IND8178 (Production). His teaching philosophy emphasizes practical application, with courses featuring hands-on exercises, real-world scenarios, and gamification techniques to enhance learning. His supervision portfolio includes numerous Ph.D. and Master's students working on topics ranging from human-technology collaboration to reinforcement learning for production management. Through LABAC, Dr. Bassetto leads research initiatives focused on developing human-centered tools for continuous improvement in organizational settings. The laboratory conducts projects related to industrial IoT applications, cognitive aspects of process improvement, and the development of practical frameworks for organizations to enhance performance while maintaining respect for human rhythms and cognitive capabilities.

• Industrial Engineering
• Artificial Intelligence
• Cognitive Science
• +4 more

Marc Sachon is a Full Professor and Director of the Department of Operations, Information, and Technology at IESE Business School, University of Navarra . He serves as Academic Director for Advanced Management Programs (AMP) and specialized courses like Successful Change Management and Industry 4.0 . His leadership extends to the annual IESE Automotive Industry Conference (since 1986) and consulting engagements with global firms such as BMW Group , Phoenix Group , and Traton Group . PhD in Industrial Engineering and Engineering Management from Stanford University MBA from IESE Business School Master's in Aerospace Technology from University of Stuttgart His research focuses on operations strategy , particularly in the automotive industry , and the impact of Industry 4.0 on manufacturing and logistics. He explores how digital transformation reshapes value chains, emphasizing human-machine collaboration and supply chain resilience. His work spans academic journals like IEEE Transactions and business publications like IESE Insight , with case studies on companies such as Porsche and Netflix . Professor Sachon has received multiple teaching awards and maintains an active consulting practice across industries including airlines , pharmaceuticals , and logistics . He previously worked at Airbus and IBM , and currently advises a mobility startup board. His recent publications highlight trends in electric mobility , 3D printing , and supply chain sustainability .

• Operations Strategy
• Industry 4.0
• Supply Chain Management
• +3 more

Dr. Guohong Tian is a Senior Lecturer in Automotive Engineering at the University of Surrey's School of Mechanical Engineering Sciences. He holds roles including Departmental representative for the Faculty International Relations Committee and coordinator for Headstart and Summer School programs. His research focuses on advanced engine technologies, alternative fuels, and thermal management systems. Prior to Surrey, he was at Newcastle University (2010–2015) and Birmingham University as a Research Fellow (2008–2010). Education: PhD in Mechanical Engineering (Birmingham University). Collaborations: Jaguar Land Rover, Cummins, BP, Shell, JCB, and Avid. Research areas include: Internal combustion engines: novel designs (free piston, scroll engines), waste heat recovery via ORC, and desalination integration. Battery thermal management using capillary-driven cooling and heat pipes. Soot oxidation mechanisms and catalytic diesel particulate filters. Key projects: KTP project with William Medcalf Limited improving vintage engine performance. ADVICE-ADvancing thermal energy management in hybrid vehicles. Publications emphasize combustion diagnostics, emission reduction, and scroll expander optimization. He supervises students on pyrolysis oils and scroll expander development. His lab includes a state-of-the-art engine test bench with FTIR emission analysis and high-speed imaging systems.

• Automotive Engineering
• Internal Combustion Engines
• Renewable Energy
• +7 more

Jiju Antony is a Professor at Northumbria University , specializing in quality management, Lean Six Sigma, and operational excellence. His research bridges industrial engineering, sustainability, and service sector optimization through rigorous academic inquiry and cross-industry collaboration. University: Northumbria University Email: jiju.antony@northumbria.ac.uk His research interests include: Quality Management Systems Lean Six Sigma Implementation Continuous Improvement Methodologies Sustainable Operations Industry 4.0 Integration Digital Transformation in Business Processes Recent publications focus on leveraging Lean Six Sigma for UNSDG compliance , Quality 4.0 in digital industries, and ESG performance enhancement through Kaizen practices. His work spans manufacturing, logistics, and healthcare sectors, emphasizing pandemic operational resilience.

• Quality Management
• Lean Six Sigma
• Operational Excellence
• +3 more

Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +6 more

Seongtae Kim is an Assistant Professor of Supply Chain Management at Aalto University School of Business. He joined Aalto in 2019 after postdoctoral research at the Swiss Federal Institute of Technology Zurich. His PhD in Supply Chain Management was obtained from the University of Hull’s Logistics Institute (2013–2016). His research focuses on supply chain sustainability, risks, complex networks, and digital transformation. Key projects include a four-year Academy of Finland-funded initiative on supply chain restructuring amid disruptions. He serves as an associate editor for the International Journal of Operations and Production Management and editorial board member for Decision Sciences and Journal of Supply Chain Management , earning review service awards. His work emphasizes interdisciplinary connections between environmental, social, and governance issues in global supply chains. Research awards include the JSCM Best Paper Award (2020) and Chris Voss Best Paper Award (2022). Current grants involve analyzing supply chain resilience during megadisruptions. His articles span topics like ethical sourcing, shareholder value effects of disruptions, and green practices in multi-tier networks. He advocates for integrating diversity, equity, and inclusion into sustainable operations, addressing paradoxes in lean manufacturing and sustainability performance.

• Supply Chain Sustainability
• Supply Chain Risks and Disruptions
• Complex Supply Networks
• +3 more

Ashish Thatte serves as Associate Professor of Operations Management at Gonzaga University, teaching undergraduate courses including Operations Management (OPER 340), Lean Thinking (OPER 347), and Supply Chain Management (OPER 489), alongside graduate courses such as Global Operations (MBUS 640), Lean Thinking (MBUS 648), and Supply Chain Management (MBUS 699). His industry background encompasses manufacturing management and supply chain/logistics roles in multinational corporations. His academic credentials feature a Ph.D. and M.S. from the University of Toledo, complemented by an M.B.A. and B.E. from the University of Pune (India), plus APICS CPIM certification: CPIM, APICS Ph.D., University of Toledo M.S., University of Toledo M.B.A., University of Pune (India) B.E., University of Pune (India) Dr. Thatte's research centers on supply chain responsiveness, competitive advantage, and information systems in operations, with significant extensions into consumer behavior (particularly Gen Z purchasing in beauty care) and healthcare operations (emergency department efficiency and medical procedure cost analysis). His work bridges theoretical frameworks with practical applications across manufacturing, retail, and healthcare sectors. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Supply chain responsiveness mechanisms and their competitive impact through supplier networks and modular manufacturing; (2) Cross-cultural consumer behavior examining regional variations in brand perception; (3) Healthcare operations optimization in emergency departments and procedural cost-effectiveness. His interdisciplinary approach connects operations theory with real-world business challenges across automotive, sports analytics, and global consumer markets. No scientific awards were documented in the available information. While the provided materials confirm his teaching responsibilities and publication record, specific details regarding student advisement, research grants, or laboratory affiliations remain undisclosed in the source materials.

• Supply Chain Management
• Operations Management
• Information Systems
• +3 more

Sadaf Sobhani is an Assistant Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University. Her research focuses on thermal management and energy conversion with applications in high-efficiency, low-emission energy systems, spacecraft thermal control, and electrochemical reactors for carbon dioxide conversion. Dr. Sobhani's educational background includes a B.S. (2014), M.S. (2015), and Ph.D. (2019) in Mechanical Engineering from Stanford University. During her doctoral studies, she worked as a research associate at the NASA Ames Research Center and later joined the Lawrence Livermore National Laboratory as a postdoctoral researcher. Her research program integrates computational modeling, experimental techniques, and advanced manufacturing to investigate flow, heat transfer, and chemical reactions in porous media. She leverages the connection between micro-scale features and macro-scale transport properties to develop innovative solutions for energy systems. Her work spans multiple disciplines including combustion engineering, electrochemical systems, and thermal management for spacecraft. Dr. Sobhani's publications demonstrate a consistent focus on porous media combustion, heat transfer optimization, and advanced diagnostic techniques. Her recent work has increasingly incorporated additive manufacturing and machine learning approaches to solve complex thermal management challenges, particularly for space applications and carbon dioxide conversion systems. Gallery of Fluid Motion Award, American Physical Society (2018) Accel Innovation Scholarship, Stanford Technology Ventures Program (2017) Graduate Public Service Fellowship, Haas Center for Public Service (2016) Schneider/MAP Sustainable Energy Fellowship, Haas Center for Public Service (2016) Graduate Research Fellowship, National Science Foundation (2015) AIAA Niagara Frontier Section 2025 Young Professional of the Year Award NASA Early Career Faculty Award (2023) NASA Early Stage Innovations Award (2023) Dr. Sobhani leads an active research group and has secured significant funding including a NASA Early Career Faculty Award and a FuzeHub grant with industry partners Lithoz America and Dimensional Energy. She has developed a new spacecraft thermal management course at Cornell and is actively mentoring students in her laboratory research. The Sobhani Lab, located at 182 Grumman Hall, spans approximately 850 sq. ft. and focuses on spacecraft thermal control, combustion research, non-intrusive diagnostic methods, and ceramic additive manufacturing. The lab utilizes advanced facilities including the Cornell NanoScale Science and Technology Facility and the Cornell High Energy Synchrotron Source.

• Thermal Management
• Energy Conversion
• Heat Transfer
• +12 more

Henrique O'Neill is an Associate Professor (with Habilitation) in the Department of Marketing, Operations and General Management at ISCTE - University Institute of Lisbon, Portugal. He is an Integrated Researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. His research focuses on information systems adoption, organizational strategy, and process optimization in healthcare, finance, and public administration. Education: PhD in Business Organization and Management - University of Cranfield (1995) Master's in Electrical and Computer Engineering - Higher Technical Institute (1987) Bachelor's in Electrical Engineering - Higher Technical Institute (1983) Research Interests: His work spans business/IT strategy, systems modeling, process analysis, and technology implementation. Key domains include healthcare informatics, banking systems, and Industry 4.0 applications. He emphasizes practical solutions for organizational performance through technology integration. Publication Trends: Recent articles explore intelligent business systems, telemedicine, design science methodologies, and supply chain innovation. His work consistently bridges theoretical frameworks with sector-specific applications in healthcare, education, and logistics. Professional Engagement: Member: Portuguese Telemedicine Association, Order of Engineers Commissioner: INEM (National Institute of Medical Emergency) reform study Director: Center for IT Development (2010-2014) Advising & Projects: Supervises 7 graduate students (1 PhD, 6 Master's). Leads EU-funded projects including: Atlantic Crossing (2024-2025): US-Portugal academic collaboration in AI/cybersecurity AAL4ALL (2011-2015): Ambient Assisted Living ecosystem UNITE (2000-2002): Ubiquitous teamwork platforms

• Information Systems
• Operations Management
• Business Strategy
• +5 more

Dr. Eylem Asmatulu is an Associate Professor in the Department of Mechanical Engineering at Wichita State University (WSU), part of the College of Engineering. She joined WSU as an educator in 2015, became an Assistant Professor in 2017, and was promoted to her current rank in 2023. Previously, she worked in Environmental Health and Safety at WSU. She currently advises three PhD, three MS, and two BS students, having graduated 13 students since 2015. Her research focuses on recycling and reuse of materials, composite materials engineering, nanotechnology safety, and sustainable manufacturing. She has secured over $1.7 million in grants, published 131+ articles (h-index 26), and contributed to fields like thermal energy storage, biomedical nanomaterials, and aerospace material science. Her work emphasizes interdisciplinary approaches, combining machine learning for material property prediction and addressing safety concerns in nanotechnology across industries. Key projects include flame-retardant composites, biogas production optimization, and superhydrophobic nanofiber applications for water treatment. She actively promotes sustainability through recycling innovation and lean manufacturing practices in aerospace. Dr. Asmatulu’s research has been cited over 2,870 times. Her contributions span academia and industry, with a focus on translating innovations into practical solutions for environmental and industrial challenges.

• Recycling and Reuse of Materials
• Composite Materials Engineering
• Nanotechnology Safety
• +7 more