Find Academic Supervisors

Gérard CachonView profile

Professor

• operations strategy
• pricing
• supply chain management
• +1 more

Gérard Cachon is the Fred R. Sullivan Professor in the Operations, Information and Decisions (OIDD) department and Professor of Marketing at The Wharton School, University of Pennsylvania. An INFORMS Fellow and former President of the Manufacturing and Service Operations Management Society, he previously served as Editor-in-Chief of Management Science and Manufacturing & Service Operations Management . His research examines technology-driven transformations in operational strategy and competitive dynamics. His work spans supply chain management, pricing mechanisms, sustainability initiatives, and public policy applications. Recent studies analyze voting resource allocation, online platform economics, and inventory-sales relationships using data-driven modeling. He emphasizes translating theoretical frameworks into practical business solutions through empirical validation and real-world case studies. Cachon’s publications reveal trends in platform regulation, scarcity effects in consumer behavior, and sustainable operations design. His research bridges operations management with political science (voting systems) and retail strategy (free shipping thresholds), demonstrating cross-disciplinary impact through publications in Management Science , Operations Research , and Harvard Business Review . Key honors include: INFORMS Fellow (2015) Rapaport Award for Teaching Excellence (2013) Manufacturing and Service Operations Management Society Fellow (2011) Penn Fellow leadership program (2011) Multiple "Tough, But I’ll Thank You in 5 Years" teaching awards (2002, 2009, 2012) Miller-Sherrerd teaching award for core course excellence (2004) As author of two widely adopted textbooks ( Operations Management and Matching Supply with Demand ), he shapes global operations education. His current research connects operations strategy with societal challenges like election accessibility, while securing ongoing funding through industry partnerships and academic grants.

Ricardo ZednikView profile

Professor

• Piezoelectricity
• Fracture Mechanics
• Microelectronic Mechanical Systems (MEMS)
• +4 more

Ricardo Zednik is a Professor at the Department of Mechanical Engineering, École de Technologie Supérieure (ÉTS) in Montreal. Holding degrees from Rice University (BA, BS) and Stanford University (MS, PhD), he specializes in piezoelectric materials, fracture mechanics, and microelectronic systems. His research focuses on sensors, innovative materials, and health technologies. Fields of Interest: Piezoelectricity, Fracture Mechanics, MEMS, Smart Materials, Crystallography With over 36 peer-reviewed publications and extensive supervision of graduate research (including 15+ co-directed theses and projects since 2016), Zednik contributes to applied research in materials science and biomedical engineering. He collaborates with LaCIME and PULÉTS laboratories on cutting-edge projects involving ultrasonic transducers, flexible sensors, and high-temperature material characterization. Current courses include Materials Technology (MEC200) and advanced research topics in Functional and Smart Materials (SYS877). His students explore applications like terahertz quality control, piezoelectric earcanal sensors, and Kirigami techniques for wearable electronics.

Saeed TaheriView profile

Senior Lecturer

• System Dynamics
• Socio-technical Systems
• Humanitarian Supply Chain Management
• +3 more

Dr. Saeed Taheri is a Senior Lecturer at Nottingham Business School, Nottingham Trent University, within the Department of Strategy, Analytics and Operations. With a background in Materials Science and Engineering, he transitioned to academia after a decade in Iranian manufacturing sectors as a production technology specialist and quality manager. PhD in Operations and Supply Chain Management (2018) MSc and BSc in Materials Science & Engineering Research Focus: Specializing in system dynamics modeling of socio-technical systems, with applications spanning humanitarian supply chains, healthcare operations, and lean product development. His work addresses complex organizational and policy challenges through simulation and optimization. External Engagements: Serves as MSc project supervisor at Warwick Manufacturing Group (WMG), maintains professional membership in the System Dynamics Society, and collaborates internationally on research projects. Teaches Operations & Supply Chain Management modules Supervises research across undergraduate to PhD levels Consultant for engineering management journals

• Open Innovation
• Technology Transfer
• Food Industry Innovation
• +4 more

Barbara Bigliardi is an Associate Professor at the Department of Engineering and Architecture, University of Parma, with national scientific qualification for full professor in Economic-Management Engineering (SSD ING-IND/35). She serves as President of the Management Engineering Program at University of Parma and Director of Bachelor's/Master's programs at University of San Marino, co-leading double-degree initiatives between the two institutions. Over 100 publications (57 SCOPUS-indexed) with H-index=20 Editorial roles: Cambridge Scholars Publishing (2019), MDPI Sustainability, Sci, European Journal of Innovation Management Key research areas: Open Innovation, Technology Transfer, Food Industry Innovation, Industry 4.0, Supply Chain Sustainability Recent Publications (2024-2025) demonstrate leadership in: Industry 4.0 integration with circular economy AI applications in public administration and healthcare Digitalization of food supply chains Green startup resource orchestration Simulation-based optimization in remanufacturing Sustainable additive manufacturing Scientific Recognition : 2005 Emerald Highly Commended Award 2013 Most Cited Paper in Trends in Food Science & Technology 2019 Highly Cited Paper in Review of Policy Research Research Leadership includes: National Observatory on Start-ups (President since 2021) National Observatory on Reputation (Vice President since 2019) INAIL-funded mobile risk assessment systems (2018-2020) INAF space technology transfer projects (2018-present) Academic Contributions : Supervised over 300 theses Deputy Coordinator of Industrial Engineering Doctoral Program Director of Management Engineering Programs (Parma & San Marino) Founder of academic spin-offs: Sistemi per il marketing di contenuto S.r.l. (2016-present), Univenture SrL (2006-2010)

Magdalena Schreter-FleischhackerView profile

Researcher

• Computational Mechanics
• Additive Manufacturing
• Multi-phase Flow Modeling
• +3 more

Dr. Magdalena Schreter-Fleischhacker works at the Technical University of Munich within the Professorship of Simulation for Additive Manufacturing . Her research focuses on physics-based computational modeling of coupled liquid-powder-gas dynamics in metal additive manufacturing, including melt pool dynamics and powder-gas interactions . She specializes in multi-phase flow modeling using cut-element and diffuse interface methods with continuous/discontinuous Galerkin schemes . She also develops constitutive models for quasi-brittle materials like 3D printed concrete and rock, incorporating anisotropy , gradient-enhanced damage mechanics , and micropolar continua . Her computational work leverages matrix-free algorithms and parallel computing , with significant contributions to the deal.II finite element library . Research Interests Physics-based computational modeling of coupled liquid-powder-gas dynamics in additive manufacturing Multi-phase flow simulation using sharp/diffuse interface methods Advanced constitutive modeling for quasi-brittle materials (rock, soils, 3D printed concrete) High-performance computing and matrix-free algorithms Notable Contributions Development of consistent diffuse-interface models for melt-vapor dynamics Improvements to continuum surface flux models in additive manufacturing Formulation of gradient-enhanced damage-plasticity models for geological materials Principal contributor to the deal.II library (version 9.6) Supervised Student Projects Johannes Resch (2024): DG-based thermo-hydrodynamic melt pool simulations Julian Brotz (2024): DEM-FEM coupling for fluid-powder interaction Andreas Ritthaler (2024): Matrix-free cutDG formulation for complex flows Tinh Vo (2023): Laser modeling for melt pool simulations Scientific Awards ERC Starting Grant recipient

• Control Theory
• Distributed Parameter Systems
• Model Predictive Control
• +3 more

Lorenz Dörschel is an Adjunct Professor (Lehrbeauftragter) at the Institute of Automatic Control at RWTH Aachen University. He holds the academic title PD Dr.-Ing. habil, signifying post-doctoral research qualifications. His position is part-time, focusing on advanced control theory and applications. His primary research interests include: Control of distributed parameter systems (e.g., fluid dynamics, thermal processes) Model predictive control for industrial and automotive systems Parameter space methods for robust controller design Model reduction techniques for complex nonlinear systems Dörschel's recent publications (2018-2024) demonstrate broad applications across biomedical engineering, renewable energy, automotive systems, and industrial automation. His work consistently integrates mathematical rigor with practical implementations, emphasizing advanced control methodologies like nonlinear MPC, Lyapunov-based design, and Bayesian optimization. A recurring theme is the development of computationally efficient control strategies for distributed parameter systems. No scientific awards, student advising relationships, or research grants are documented in the available information.

Jie ChenView profile

Assistant Professor

• Advanced Manufacturing
• Design Optimization
• Machine Learning
• +4 more

Jie Chen is an Assistant Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. Their research bridges machine learning with engineering analysis and design under uncertainty, focusing on process-structure-property-performance relationships. PhD, Mechanical Engineering (2022) – Arizona State University MS, Civil Engineering (2018) – Beihang University BS, Civil Engineering (2015) – Beihang University Research interests include: physics-informed machine learning, uncertainty quantification, predictive maintenance, materials design, and advanced manufacturing. The SEAD Lab develops methods to integrate engineering analysis into stochastic machine learning algorithms and uses AI for knowledge discovery in uncertain environments. Recent publications emphasize: Digital twin frameworks combining machine learning and Bayesian optimization Graph neural networks for high-entropy alloy and molecular mixture property prediction Physics-guided neural networks for fatigue life analysis of additively manufactured alloys Uncertainty quantification in imbalanced regression tasks and multi-fidelity data fusion Real-time imaging of polymer deformation mechanisms The lab actively mentors students, including PhD candidate Yisheng Lu, and manages projects in predictive maintenance, fatigue modeling, and materials design.

• Artificial Intelligence
• Decision-Making Systems
• Fuzzy Logic
• +5 more

Núria Agell Jané is a Full Professor at ESADE Business School , Universitat Ramon Llull, specializing in Artificial Intelligence and Decision-Making Systems. She leads the JUICE (Judgements and Decisions in the Market Place) research group and the ESADE D3 - Institute for Data-Driven Decisions . Doctorate in Applied Mathematics (Qualitative Reasoning Modelling), UPC-BarcelonaTech Bachelor's in Mathematics, University of Barcelona Her research focuses on Artificial Intelligence , Decision-Making Systems , and Fuzzy Logic , with applications in Business, Marketing, and Sustainability. Recent publications emphasize Hesitant Fuzzy Linguistic Term Sets , Consensus Modeling , and AI in Sustainable Development . She coordinates multiple publicly and privately funded projects applying AI to Business and Marketing challenges. As PhD Programme Director (2005-2013) and current Department Director of Operations, Innovation and Data Sciences , she has shaped academic and research strategies at ESADE. Her work spans collaborations with institutions like LAAS-CNRS (France) and University of Edinburgh Business School , with over 40 journal publications and 50 conference contributions. She has directly supervised 11 PhD students in AI and Decision Sciences.

Kai HobergView profile

Professor

• Supply Chain Analytics
• Inventory Modeling
• Digital Transformation in Supply Chains
• +7 more

Prof. Dr. Kai Hoberg is a Professor of Supply Chain and Operations Strategy at Kühne Logistics University (KLU) since 2017, where he also served as Department Head of the Operations and Technology Department from 2017 to 2023. Prior to joining KLU as an Associate Professor in 2012, he was an Assistant Professor at the University of Cologne (2010–2012) and a strategy consultant at Booz & Company (2006–2010). His research interests span supply chain analytics and technology integration inventory modeling for intermittent demand digital transformation in operations management additive manufacturing in after-sales services human-machine interaction in forecasting pharmaceutical supply chain challenges IoT-enabled vendor-managed inventory behavioral aspects of operations . Recent publications highlight empirical studies leveraging machine learning for semiconductor order fulfillment, typologies for additive manufacturing adoption, and process mining applications in SCM. His work frequently combines theoretical modeling with real-world validation, including partnerships with firms in food manufacturing, postal services, and medical devices. He earned a PhD in Supply Chain Management from Münster University (2006) and a Diplom in Industrial Engineering from Paderborn University and Monash University. He has held visiting scholar roles at institutions like Cornell, NUS, Oxford, and Stellenbosch.

• Biomaterials
• Biomechanics
• Materials Science
• +4 more

Cecilia Persson is a Professor at Uppsala University in the Department of Materials Science and Engineering; Biomedical Engineering. She leads the BioMaterial Systems (BMS) research group within the Division of Biomedical Engineering, focusing on the development of new biomaterials through additive manufacturing. She also directs a Competence Centre in Additive Manufacturing for the Life Sciences and the national Research Technology Platform WISE Additive. 2018, Professor in Materials Science, Uppsala University 2015, Docent (Assoc. Prof.) in Engineering Science with Specialization in Materials Science, Uppsala University 2009, PhD in Mechanical Engineering, University of Leeds 2004, MSc in Materials Engineering, European degree (EEIGM) with triple diploma Persson's research focuses on biomaterials, biomechanics, materials science, and additive manufacturing. Her work takes an integrated approach to solving clinical and sustainability problems, combining materials science, mechanical and biological engineering with new technologies like 3D printing and machine learning. Key research areas include magnesium-based alloys for bone substitutes, titanium-based alloys for permanent implants, and machine learning methods to enhance manufacturing efficiency. Analysis of her recent publications shows a strong emphasis on additive manufacturing of biomaterials, particularly magnesium and titanium alloys. Her work explores microstructure control, mechanical properties optimization, antibacterial properties, and patient-specific implant design. The research demonstrates a clear trajectory toward more sustainable, patient-adapted medical solutions using advanced manufacturing techniques. Persson has received funding from prestigious organizations including the Swedish Research Council (VR), the Knut and Alice Wallenberg Foundation (KAW), the Swedish Foundation for Strategic Research (SSF), Sweden's Innovation Agency (VINNOVA), and the EU. As an academic leader, Persson has served as Section Dean of Engineering (2020-2023), President of the Scandinavian Society of Biomaterials (2019-2023), and Coordinator of EU Innovative Training Network NU-SPINE (2019-2023). Her BioMaterial Systems research group takes an integrated approach to solving clinical and sustainability problems, bridging fundamental scientific mechanisms with high societal relevance.

Hao DongView profile

Senior Lecturer

• Agile project management
• Digital transformation
• Artificial Intelligence
• +6 more

Dr Hao Dong serves as Senior Lecturer in Management at the University of Southampton Business School, where he directs the Strategy & Collaboration for the Advanced Project Management Research Centre (APROM). His academic work bridges socioeconomics and business studies to explore how responsible management practices can advance sustainability. Dong holds leadership roles including SBS' PhD Liaison Officer, Web Champion, and member of the Ethics, Responsibility and Sustainability Committee. Hao Dong's research spans several interconnected domains focused on modern management challenges. His primary interests include Agile project management methodologies, digital transformation and AI integration in business processes, and cultural entrepreneurship with emphasis on supply chain dynamics. He also explores co-operative business models and Austrian economics principles, applying these frameworks to address contemporary organizational challenges. His work demonstrates how project management intersects with sustainability, digital innovation, and economic resilience across various sectors including public administration, healthcare, and agriculture. Dong's recent publications reveal a strong focus on the intersection of digital transformation and project management, with increasing attention to sustainability applications. His work examines how Agile methodologies adapt to digital environments, how open government data creates value, and how supply chains can achieve greater resilience. His research shows a clear trajectory toward integrating traditional project management frameworks with emerging digital technologies while maintaining focus on human-centered approaches and sustainable outcomes. Hao Dong has received numerous professional recognitions including Top 10% SSRN Author (2021), multiple Blackboard and VLE Awards nominations and shortlists (2022-2024), The Vice-Chancellor's Awards nominations across multiple years, and recognition for supervising the Southampton Business School Best Dissertation (2022). His professional affiliations include British Academy of Management (BAM), Association for Project Management (APM), Mises Institute, UK Society for Co-operative Studies (UKSCS), and Institute of Directors (IoD). As a supervisor, Dong currently guides four PhD students working on Business Studies & Management topics, including research on digital transformation, supply chain risk, and project management. His research portfolio includes significant funding from diverse sources including the ESRC Impact Acceleration Account, APM (Association for Project Management), and various internal university grants. His current projects span digital transformation in public and private sector project management, international co-operatives in the post-pandemic era, and supply chain sustainability in the Global South. Dong leads the Advanced Project Management Research Centre (APROM) as Director of Strategy & Collaboration, fostering interdisciplinary research that connects academic theory with practical project management applications. His work bridges academic research with industry practice through collaborations with professional bodies like APM and through his policy and consulting advisory roles.

Gudrun KiesmuellerView profile

Professor

• Inventory Management
• After Sales Service
• Design and Analysis of Manufacturing Systems
• +4 more

Prof. Dr. Dr. h.c. Gudrun Kiesmüller serves as Full Professor holding the Chair for Operations Management at TUM School of Management, Technical University of Munich, based at Campus Heilbronn since July 2019. She concurrently holds the position of Hedda Andersson Guest Professor at Lund University's Department of Industrial Management & Logistics since January 2021. Previously, she held professorial positions at Otto-von-Guericke-University Magdeburg (2013-2019), Christian-Albrechts-University zu Kiel (2010-2013), and Technical University Eindhoven (2002-2009). Her research program focuses on Operations Management with particular emphasis on the implications of digitization in Industry 4.0, especially in after-sales services. She develops analytical methods to optimize processes across manufacturing and supply chains. Her work spans three interconnected domains: stochastic manufacturing systems design (examining buffer sizing and spare parts planning), safety stock optimization under uncertain demand and supply conditions, and maintenance-reliability integration. She investigates how digitization transforms traditional operations, with growing emphasis on AI applications for supply chain optimization and inventory planning. Prof. Kiesmüller's extensive publication record reveals consistent contributions to operations research methodology with practical business applications. Her work demonstrates increasing integration of data-driven approaches, particularly in the most recent publications which explore AI applications for supply chain optimization. The research shows progression from theoretical inventory models toward more complex, integrated systems that consider multiple uncertainties simultaneously, reflecting the growing complexity of modern supply chains. Her professional recognition includes: 2022 Service Award from the International Society for Inventory Research Multiple Outstanding Reviewer Awards from OR Spectrum (2017, 2020) EURO Best Paper Award (2014) for influential review on lateral transshipments Multiple teaching awards recognizing excellence in both bachelor and master level instruction At TUM, Prof. Kiesmüller teaches a comprehensive curriculum in Operations Management, emphasizing both theoretical foundations and practical applications. Her courses equip students with skills to analyze supply chain planning problems, apply quantitative models, and solve complex operational challenges. She maintains an active research group investigating how digitization transforms operations management practices, particularly in after-sales service contexts where Industry 4.0 technologies enable new optimization possibilities.

Amarjeet BassiView profile

Professor

• Micro-algal applications
• Water treatment and refining
• Nutrient recovery
• +5 more

Dr. Amarjeet Bassi is a Professor of Chemical and Biochemical Engineering in the Faculty of Engineering at Western University. He holds a Ph.D. and is a Professional Engineer (P.Eng). His research group has made significant contributions to environmental engineering, particularly in developing the world's first circulating fluidized bed ion exchange chromatography system. Dr. Bassi has established strong industry partnerships, including with Renix Inc. for commercializing his UIX technology and with Stanton Farms for phycoremediation research. Dr. Bassi's research interests focus on innovative environmental and bio-separation technologies. His work spans micro-algal applications for clean water and value recovery, integrated technologies for water refining and nutrient and energy recovery using biological systems, bio-separations, and biosensors. His research group pioneered the circulating fluidized bed ion exchange chromatography system (UIX), which is now being commercialized by Renix Inc. He has also developed significant expertise in phycoremediation, particularly for treating wastewater from dairy farms and greenhouse industries. Dr. Bassi's publication record demonstrates a strong focus on sustainable water treatment technologies, bioenergy production, and biodegradation of plastics. His recent work shows increasing attention to microplastic pollution, hydrothermal liquefaction of microalgae for bio-crude oil production, and innovative approaches to wastewater treatment using microbial systems and phycoremediation. Distinguished Speaker Award from IChE (2007) Engineering Science Prize for Outstanding Teaching at Western University (2000) SPIE Optics East Best Paper Award (2006) Dr. Bassi has graduated over 45 highly qualified personnel (PhDs, M.E.Sc and PDFs/Research Associates) and supervised more than 50 undergraduate research students. His research has been supported by significant grants from Canada Foundation for Innovation, NSERC Strategic Project grants, OMAFRA New Directions, and other funding agencies. He has served in leadership roles including President of the Canadian Society for Chemical Engineering (2014-2015) and as Associate Editor for the Canadian Journal of Chemical Engineering. Dr. Bassi leads an active research group focusing on innovative environmental technologies. His lab has developed the world's first circulating fluidized bed ion exchange chromatography system and has established successful industry partnerships, particularly with Renix Inc. for commercializing the UIX technology. His research group maintains strong collaborations with Stanton Farms for phycoremediation research and works with various industry partners on wastewater treatment and bioenergy projects.

• Operations Management
• Service Excellence
• Supply Chain Management
• +3 more

Philip Moscoso is a full professor and Vice Dean for Academic Affairs and Innovation at IESE Business School, University of Navarra. He holds the Eurest Chair of Excellence in Services and serves as academic director for several programs. He also teaches executive training programs, customized programs for large companies, and various IESE MBA programs. Additionally, he is a visiting professor at the Chinese business school CEIBS and ISEM Fashion Business School. Ph.D. in Industrial Engineering and Management, ETH Zurich M.Sc. in Chemical Engineering, ETH Zurich Service Business Management program, Harvard Business School General Management program, IESE Business School, University of Navarra Professor Moscoso's research focuses on how companies can generate competitive advantage through excellence and innovation in operations, with special emphasis on service and consumer products companies. His work spans operations management as a source of competitive advantage, excellence and innovation in service, and project management. He has published more than 40 articles in international journals and authored over 30 case studies and two books on operations management. His recent publications demonstrate a strong focus on contemporary operations challenges including global supply chain management in volatile environments, business model innovation in emerging sectors like space technology, and strategic transformations in established industries. His research consistently bridges theoretical frameworks with practical applications, often examining the intersection of operational excellence with overall business strategy, particularly in service contexts and retail environments. Professor Moscoso combines his academic work with extensive consulting experience, having worked for international consulting firms such as Bain & Co. and KPMG. For over 25 years, he has advised clients across various sectors on strategic, organizational, and performance and service improvement issues. His practical experience directly informs his academic work and teaching methodology, creating a robust connection between theory and practice in operations management education.

Tiina SikanenView profile

Associate Professor

• Microfluidic Total Analysis Systems
• Digital Microfluidics
• Polymer Microfabrication
• +5 more

Tiina Sikanen is an Associate Professor at the University of Helsinki within the Faculty of Pharmacy, Division of Pharmaceutical Chemistry and Technology . She leads the Chemical Microsystems Lab and serves as a supervisor for doctoral programmes in Drug Research, Chemistry and Molecular Sciences, and Materials Research and Nanosciences. Her research focuses on microfluidic systems, polymer microfabrication, and mass spectrometry applications in drug metabolism studies. Education : MSc in Chemical Technology (Aalto University, 2010), PhD in Pharmaceutical Chemistry (University of Helsinki, 2007) Her research integrates microfluidic total analysis systems with digital microfluidics to create 3D liver and cardiac cell culture models for studying extracellular vesicle activity and cytochrome P450 metabolism. Key projects include PREMIER (risk evaluation of medicines in environment) and CardioEV (cardiotoxicity biomarker discovery). Her recent publications highlight advancements in microdevice-based extracellular vesicle quantitation, Staphylococcus biofilm modeling, and sustainable pharmaceutical life-cycle analysis. Scientific awards include the Academy of Finland Award for Scientific Courage (2019) , Research Fellow (2017) , and Postdoctoral Researcher (2011) . She has supervised numerous Master's and doctoral theses, including Elina Kyllönen's MSc(Pharm) work on microfluidic sustainability challenges and Laura Sirviö's BSc research. Her lab employs 3D printing for cleanroom-free microdevice fabrication and participates in EU-funded initiatives like IMI2-RIA PREMIER.