Find Academic Supervisors

Ari JantunenView profile

Professor

• Strategy and Management
• Strategic Change and Renewal
• Organizational Cognition
• +8 more

Ari Jantunen is a Professor in Strategy Research at the LUT Business School, LUT University, Lappeenranta, Finland. He is affiliated with the Department of Business Studies and has been actively contributing to academic research in strategic management and organizational behavior. University: LUT University School: LUT Business School Department: Business Studies Position: Professor, Strategy Research Email: Ari.Jantunen@lut.fi He earned his D.Sc. (Econ.) from Lappeenranta University of Technology in 2005, establishing a long-standing academic career focused on strategic change and innovation. Ari Jantunen’s research centers on strategic change and renewal, organizational cognition, dynamic capabilities, dominant logic, and industry dynamics . His work explores how managerial cognition influences strategic decisions and organizational performance, particularly in industries undergoing transformation such as media, energy, and forest sectors. He also investigates sustainability strategies, the circular bioeconomy, and corporate social performance. His recent publications reflect a strong trend in using cognitive mapping, qualitative comparative analysis (fsQCA), and simulation modeling to understand strategic phenomena. Articles on dominant logic, strategic renewal, and cognitive diversity highlight his focus on the cognitive underpinnings of strategic management. Among his notable works are studies on the bioeconomy transition in the pulp and paper industry, innovation races in high-tech sectors, and the interplay between corporate social and financial performance. Jantunen has collaborated extensively with researchers such as Anni Tuppura, Satu Pätäri, Kalevi Kyläheiko, and Anssi Tarkiainen, often co-authoring studies in journals like European Management Journal , Journal of Business Research , and Futures . Ari Jantunen is actively engaged in research and supervision, though no specific students are listed in the provided sources. He does not appear to have received any explicitly mentioned scientific awards, but his consistent publication record in high-impact journals underscores his academic contributions. He has been involved in interdisciplinary research projects, particularly those examining the interface between the energy and forest sectors, the diffusion of energy services, and innovation in cleantech firms. His work often combines theoretical rigor with practical insights, contributing to both academic discourse and industry applications.

• Corporate Finance
• Fintech
• Environmental Economics
• +5 more

Vesa Pursiainen is an Associate Professor at the School of Business and Economics , University of St. Gallen (SBF-HSG). His research focuses on corporate finance, fintech, environmental economics, crowdfunding, and behavioral finance, with a particular emphasis on how technology, social dynamics, and crises impact financial decisions and market behavior.

Soraya FatehiView profile

Assistant Professor

• Operations Management
• Supply Chain Logistics
• On-Demand Platforms
• +5 more

Soraya Fatehi is an Assistant Professor in the Department of Operations Management at the Jindal School of Management (JSOM), University of Texas at Dallas. Her research focuses on operations management challenges in on-demand and crowdsourced systems, retail operations, and the OM-Finance interface. She holds a PhD in Operations Management from the University of Washington, an MS in Systems Engineering from the University of Arizona, and a BS in Industrial Engineering from the University of Tehran. Education: PhD, Operations Management, University of Washington, 2020 MS, Systems Engineering, University of Arizona, 2015 BS, Industrial Engineering, University of Tehran, Iran, 2013 Her research interests span the operational dynamics of on-demand platforms, crowdsourcing in logistics, sustainable transportation solutions, and the intersection of operations management with financial strategies. She has contributed to advancing methodologies for optimizing inspection policies in manufacturing and developing revenue-sharing frameworks in crowdfunding contexts. In her recent publications, Dr. Fatehi explores the integration of autonomous vehicles in food delivery, green initiatives in ride-hailing, and strategies to combat greenwashing in competitive markets. Her work also addresses the optimization of last-mile delivery through crowdsourcing and the operational management of on-demand systems. Earlier contributions include algorithmic approaches for production process inspections and revenue-sharing models in crowdfunding. Scientific Awards: Outstanding Teaching Award, Foster School of Business, University of Washington, 2019 Outstanding Research Award, Foster School of Business, University of Washington, 2018 Advising and Grants: No specific advising or grant information is provided in the text.

Allon GuezView profile

Professor

• Control Systems
• Robotics
• Artificial Intelligence
• +7 more

Allon Guez is a Professor in the Department of Electrical and Computer Engineering at Drexel University. His research focuses on control systems, robotics, artificial intelligence, medical robotics, and automated decision making. He actively bridges academia and industry through high-tech entrepreneurship. Education PhD in Electrical Engineering, University of Florida MS in Electrical Engineering, University of Florida MBA in Finance, Drexel University BS in Electrical Engineering, Technion - Israel Institute of Technology His research portfolio spans medical robotics, automated decision making systems, and advanced control algorithms. Key areas include wearable safety devices, radiation control in imaging systems, and closed-loop brain stimulation technologies. Notable contributions include founding ControlRad (radiation reduction systems) and GraceFall (fall detection technology). His work demonstrates a strong emphasis on translating academic research into commercial medical devices. Recent publications highlight innovations in: Fetal brainwave monitoring Postural disturbance detection Seizure prediction algorithms Magnetic microrobotics Dynamic CT collimation Cardiac tissue modeling

• Management Accounting Practices
• Qualitative Fieldwork Methodology
• Big Data and Business Analytics
• +5 more

Professor Wai Fong Chua is a distinguished academic in accounting practices at the University of Sydney Business School. She holds a first-class honours degree and PhD from the University of Sheffield. Her research focuses on management accounting as a social practice, qualitative fieldwork methodology, and the impact of technology on organizational control. She has contributed extensively to top-tier journals like Accounting, Organizations and Society and serves as its Editor. Her work explores big data analytics, NGO accountability mechanisms, and the interplay between emotions and accounting systems. Education: Bachelor of Arts (Honours), University of Sheffield PhD in Accounting, University of Sheffield Research Interests: Her current research investigates the transformative role of technology in accounting practices, including big data's impact on organizational control, immersive technologies for NGO accountability, and the influence of 'passionate interests' on accounting systems. She collaborates internationally with institutions like Royal Holloway University of London and the University of Bristol. Publications & Recognition: Over 50 peer-reviewed articles and book chapters, including landmark works on gamification in management control and climate-related financial disclosures. She has received prestigious awards such as the Member of the Order of Australia (2012) and an Honorary Doctorate from the University of Jyvaskyla (2009). Grants & Leadership: Led projects on climate change sustainability strategies and reconciliation initiatives with Indigenous communities. Served on editorial boards of major journals and contributed to professional accounting bodies like CIMA and Chartered Accountants ANZ. Labs/Teams: Engaged in interdisciplinary research with the Sydney Business School's Accounting Foundation and collaborates with global networks in climate finance and digital analytics.

Jooh LeeView profile

Professor

• Operations Strategy
• Corporate Sustainability
• CEO Compensation
• +2 more

Dr. Jooh Lee is a Professor of Management at Rowan University's William G. Rohrer College of Business. He holds a Ph.D. in Management Science from the University of Mississippi and an M.S. from Colorado State University. His research examines operational linkages between strategy and performance, with emphasis on sustainability, reputation, CEO compensation, and technology impacts. Lee has published over 130 scholarly articles focusing on international business strategy and operational efficiency. His recent work analyzes ESG performance, R&D-exports synergies, and reputation- compensation relationships using advanced modeling techniques. Research methodologies include neural networks, comparative international analyses, and longitudinal performance studies. Honors include holding The Campbell Professorial Chair. His teaching portfolio includes Operations Management, Managerial Decision Making Tools, and Business Forecasting at MBA and undergraduate levels.

Vipin BView profile

Assistant Professor

• Decision Theory
• Inventory Theory
• Supply Chain Management
• +6 more

Vipin B is an Assistant Professor in the Department of Management Sciences at the Indian Institute of Technology Kanpur (IIT Kanpur). He earned his PhD from IIT Madras in 2017, following an M.Tech in Industrial Engineering and Management from NIT Calicut (2010) and a B.Tech in Mechanical Engineering from GEC Kozhikode (2008). His research focuses on Decision Theory, Behavioral Operations Management, Supply Chain Contracts, Optimization in Operations Management, Sustainable Operations, Healthcare Operations, Operations-Finance Interface, and Agricultural Supply Chain Management. His work bridges theoretical operations management concepts with practical applications across various industries. Vipin B has published extensively in top-tier operations management journals including Annals of Operations Research, Computers & Industrial Engineering, Vaccine, Resources Conservation and Recycling, Omega, and European Journal of Operational Research. His publications demonstrate a strong focus on behavioral aspects of supply chain decisions, sustainable operations, and healthcare logistics. He has received the German Academic Exchange Service (DAAD) Fellowship in 2015 and won the Best paper award at the DoMS Research Symposium 2016 at IIT Madras. His research on lead-acid battery recycling has been featured in prominent media outlets including The Times of India, The Print, and The Hindu. Vipin B is a member of professional organizations including INFORMS and IIIE. He has previously served as a Project Officer at the Center for Industrial Consultancy and Sponsored Research at IIT Madras (2017) and as an Ad-hoc Lecturer at NIT Calicut (2011-12).

Chen Gongtao LucyView profile

Associate Professor

• Supply Chain Management
• Inventory Management
• Interface Between Operations And Marketing/Finance
• +1 more

Chen Gongtao Lucy serves as an Associate Professor in the Analytics & Operations department, focusing on critical intersections of operations management and business strategy. Her research expertise spans: Supply Chain Management Inventory Management Operations-Marketing/Finance Interface Supply Chain Risk Mitigation Disruption Resilience Modeling Dr. Chen investigates how operational decisions interact with market dynamics and financial constraints, developing frameworks for robust supply chain systems. Her work addresses real-world challenges in global logistics, emphasizing adaptive strategies for volatile business environments through quantitative modeling and cross-functional integration.

Tim BaldeniusView profile

Professor

• Managerial Accounting
• Performance Measurement
• Corporate Governance
• +2 more

Tim Baldenius serves as the Paul M. Montrone Professor of Private Enterprise in the Accounting Division of Columbia Business School at Columbia University. He rejoined Columbia in 2017 after serving as Chair of NYU Stern's Accounting Department (2011-2016), and previously held faculty positions at Columbia Business School (1998-2011) where he chaired the Accounting Division (2009-2011). His teaching portfolio includes MBA courses in Financial Planning & Analysis, PhD seminars on managerial accounting, and executive education programs. His academic credentials include a Diploma in Business Administration from the University of Hamburg and a PhD in Accounting from the University of Vienna. Baldenius maintains editorial leadership as Associate Editor of Management Science and serves on the editorial boards of The Accounting Review , Review of Accounting Studies , and Review of Managerial Sciences . Professor Baldenius's research centers on managerial accounting systems, performance measurement frameworks, and corporate governance structures. His work examines how accounting information drives organizational decision-making, incentive design, and resource allocation. Key themes include transfer pricing mechanisms, cost allocation methodologies, and the interplay between managerial and tax objectives within multidivisional firms. His theoretical models often integrate contract theory with organizational economics to address real-world coordination challenges. His publication record spans top-tier journals in accounting, finance, and economics, revealing consistent focus on performance measurement systems (35%), transfer pricing (25%), corporate governance (20%), and incentive design (20%). The research demonstrates strong methodological diversity, employing game theory (40%), mathematical modeling (30%), and empirical analysis (30%) to investigate organizational decision processes. Baldenius has held significant leadership roles including Accounting Division Chair at Columbia (2009-2011) and Accounting Department Chair at NYU Stern (2011-2016). His teaching spans MBA, MS, PhD, and executive education programs with courses covering Financial Planning & Analysis, Accounting for Consultants, and Analytical Models in Accounting. His case studies on Sub-Micron Devices Inc. and Beanie Kids Holiday Camp are widely used in accounting pedagogy.

Vince CastilloView profile

Assistant Professor

• Supply Chain Management
• Logistics
• Artificial Intelligence
• +4 more

Vince Castillo serves as an Assistant Professor in the Department of Marketing & Logistics at The Ohio State University's Max M. Fisher College of Business, where he bridges academic research with industry applications in supply chain innovation. His work addresses critical modern challenges including last mile delivery optimization, sustainable operations, and AI integration, with media features on NPR's Marketplace and The World from PRX highlighting his practical impact. His academic foundation includes: PhD in Supply Chain Management from the University of Tennessee (2018) MBA in Supply Chain Management and Finance from the University of San Diego (2014) BS in Civil Engineering from the Colorado School of Mines (2006) Dr. Castillo's research portfolio demonstrates exceptional focus on human-centered logistics and resilient supply chains . Key themes include: Technology Integration : Applying AI and simulation modeling to optimize delivery networks and educational frameworks Sustainability Transformation : Developing frameworks for ethical sourcing and carbon footprint reduction Geopolitical Adaptation : Analyzing supply chain vulnerabilities in conflict zones like Ukraine Behavioral Dynamics : Studying driver engagement and customer tipping effects in gig economy platforms His publication trajectory from 2018-2025 reveals accelerating innovation, particularly in generative AI applications for supply chain education and real-time adaptation to geopolitical disruptions. Recent work emphasizes the interdependence of technological solutions and human factors in achieving operational resilience. Professor Castillo actively shapes future supply chain leaders through courses including Logistics Analytics (BUSML 4382), Supply Chain Sustainability and Resilience (BUSOBA 7395), and Building a Sustainable Supply Chain (BUSML 4385). His industry-engaged teaching approach prepares students for complex challenges in e-commerce operations, risk management, and sustainable logistics strategy implementation.

• Artificial Intelligence
• Robotics
• Data Science
• +4 more

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

Marc Torrens ArnalView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +7 more

Marc Torrens Arnal is an Associate Professor in the Department of Operations, Innovation and Data Sciences at ESADE Business School, Ramon Llull University. He serves as Academic Director of the Executive Master in Business Analytics and is an active researcher at ESADE D3 – Institute for Data-Driven Decisions. Education: PhD in Artificial Intelligence, École Polytechnique Fédérale de Lausanne (EPFL) Computer Science Engineering, Universitat Politècnica de Catalunya (UPC) Marc's research centers on the application of Artificial Intelligence to solve real-world business and societal challenges. He is particularly passionate about leveraging AI to enhance human decision-making, improve lives, and bridge the gap between academic research and industrial implementation. His work spans machine learning, recommender systems, data-driven marketing, cybersecurity, and ethical AI. He emphasizes practical, impactful innovation grounded in scientific rigor. The most recent articles reflect a strong trend toward applying AI in business analytics, financial technology, and cybersecurity. There is a consistent focus on personalization, decision support, and ethical considerations. His publications span top venues in AI and human-computer interaction, demonstrating a long-standing contribution to both foundational and applied research. Scientific Awards: No awards explicitly mentioned in the text. Marc has advised numerous industry leaders through his entrepreneurial ventures and academic roles. He co-founded Strands, Inc., where he led innovation for over 14 years, building a globally recognized fintech platform. Though no formal students are listed, his leadership in executive education suggests significant mentorship of professionals and entrepreneurs. He has secured substantial real-world impact through patents and commercial deployment rather than traditional research grants. Labs and Research Teams: ESADE D3 - Institute for Data-Driven Decisions

• Statistical Analysis
• Stochastic Processes
• Applied Statistics
• +8 more

Prof. Dr. Kumru Didem Atalay is a distinguished academic at Başkent University, specializing in Industrial Engineering . With a PhD in Statistics from Ankara University (2007), she has made significant contributions to Operations Research , Fuzzy Logic , and Decision Support Systems . Her work bridges statistical analysis with real-world applications in healthcare logistics, pandemic response, and manufacturing optimization. Education: PhD (2007), MS (2000), BS (1998) in Statistics from Ankara University Current Role: Professor in Industrial Engineering at Başkent University Her research focuses on stochastic processes , fuzzy modeling , and healthcare operations , particularly in pandemic-era service quality and microchannel manufacturing. She has developed innovative methods for project scheduling , risk analysis , and multi-criteria decision-making . Recent publications examine Covid-19's impact on education quality and fuzzy linear programming for project scheduling . She applies intuitionistic fuzzy models to optimize manufacturing systems and hesitant fuzzy regression for pandemic death count estimation. Scientific recognition includes a Runner-up Prize at the 15th ICMSEM (2021) and a Bronze Medal at ISIF21 (1970). She supervises advanced research on topics like multi-trip home healthcare routing and fuzzy quality function deployment .

Traci J. HessView profile

Professor

• Human-Computer Interaction
• Decision-Making Systems
• Electronic Commerce
• +3 more

Traci J. Hess is the Douglas & Diana Berthiaume Endowed Professor of Information Systems and Senior Associate Dean at the Isenberg School of Management, University of Massachusetts Amherst. She holds a PhD (1999), MA (1997) in Information Systems from Virginia Tech, and a BS in Accounting from the University of Virginia (1988). Her academic career includes roles at Washington State University and industry experience as Senior Vice President in banking and auditing roles at Ernst & Young. Her research focuses on Human-Computer Interaction , Decision Support Systems , and Trust in Digital Technologies . She explores topics like online review dynamics, privacy mechanisms in health communities, and algorithmic labor platforms. Hess has published extensively in journals like Journal of the Association for Information Systems and MIS Quarterly , and her work bridges cognitive psychology with technology design. Hess has received prestigious awards including the Isenberg Outstanding Research Award (2012) and Transactions on Human-Computer Interaction Best Paper Award (2011). Her teaching spans Business Intelligence , Database Management , and Research Methods . She has advised numerous graduate students (not listed explicitly in texts) and contributes to digital strategy research. Her recent work (2023–2024) examines reviewer badges’ impact on consumer trust and human agency in algorithmic labor systems. She emphasizes user-centric design principles to mitigate negative emotional responses to technology (e.g., technostress).

• Supply Chain Risk Management
• Buyer-Supplier Relationships
• Operations-Finance Interface
• +3 more

Dr. Yiyi Fan is an Assistant Professor of Operations Management and Information Systems in the Department of Management Science at Lancaster University. She serves as Programme Director for the MSc Logistics and Supply Chain Management program. Her research focuses on supply chain risk management, buyer-supplier relationships, and the operations-finance interface, with an emphasis on building resilience against disruptions. She explores supply network relationships at organizational and individual levels, and cybersecurity risk disclosure. Her work has been recognized with awards such as the Kingsman Prize (2019) and the Emerald/EFMD Outstanding Doctoral Research Award (2020). Dr. Fan’s research has been published in top journals including International Journal of Operations & Production Management and Annals of Operations Research . She currently serves on the Editorial Review Board of the Journal of Supply Chain Management . Her editorial and academic roles reflect her leadership in supply chain scholarship. Key research areas include humanitarian logistics, cybersecurity vulnerabilities, and coopetition dynamics in crisis scenarios. She supervises PhD students in supply chain resilience and buyer-supplier dynamics. Her work bridges theoretical insights with practical applications, addressing both firm-level and systemic supply chain challenges.