Find Academic Supervisors

• Optimization
• Complex Networks
• Statistical Inference
• +3 more

Stefano NASINI is an Associate Professor at the University of Lille 3, specializing in Quantitative Methods within the Economics and Mathematics Sciences. He holds a HDR (Habilitation à Diriger des Recherches) from the University of Lille 3 (2021), a Ph.D. in Statistics and Operations Research from the Polytechnic University of Catalonia (2015), and a Master in Statistics (2011). His research focuses on optimization, complex networks, statistical inference, and microeconomic applications. He has held academic positions including a post-doctoral role at IESE Business School (2014–2016) and a visiting researcher role at the University of Lisbon (2014). His work spans scheduling optimization, network analysis, financial contagion modeling, and energy system planning. Key contributions include specialized algorithms for large-scale optimization problems and frameworks for decentralized portfolio management. He is a member of the LEM research group and teaches courses in optimization, econometrics, and social network analysis at the Grande École and MSc levels. Publications highlight interdisciplinary applications, including network-based diffusion models, multi-market financial strategies, and dynamic choice analysis. His research bridges theoretical advancements in operations research with practical challenges in economics, energy, and transportation systems. No scientific awards are explicitly listed in the provided materials. His advising roles and grants are not detailed here, but his extensive publication record reflects active collaboration within academic and applied domains.

• Digital Transformation
• Healthcare Informatics
• Platforms & Innovation
• +5 more

Tan Chuan Hoo is an Associate Professor (tenured) and Deputy Head of the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. With a distinguished academic career spanning multiple continents, he brings expertise in digital transformation, healthcare informatics, and enterprise systems to his teaching and research. His educational background includes: B.Sc. (1st Class Honours, National University of Singapore) M.Sc. (Accelerated, National University of Singapore) Ph.D. (National University of Singapore) Professor Tan's research focuses on digital transformation, particularly designing, deploying, and evaluating technological innovations. His work centers on two critical areas: digital commerce (provision of digital services such as online shopping aids) and digital organization (ensuring operational efficiency and performance). His research has significant implications for healthcare institutions, corporations, and crisis preparedness and response organizations. He conducts comprehensive analyses using various scientific methodologies including field experiments and mixed methods to understand how digital technologies reshape business operations and enhance societal well-being. His publication record shows a consistent focus on information systems, with recent articles (2020-2025) emphasizing healthcare informatics, digital transformation, and open innovation. His work demonstrates a clear trajectory toward understanding how technology intersects with organizational effectiveness and societal implications, with increasing attention to healthcare applications and digital crisis management. Professor Tan has received numerous prestigious awards for his contributions to the field: Faculty Teaching Excellence Award, NUS (2024, 2017) Information Management Research Award, China Information Economics Society (2023) Reviewer Hall of Fame, Journal of AIS (2020) Outstanding Associate Editor Award, MIS Quarterly (2016) Best Reviewer Award, Journal of AIS (2016) INFORMS ISS Design Science Award (2013) Honorable Mention, Journal of AIS (2015) He has successfully advised PhD students and collaborated with public and private entities on research projects. His editorial service as Associate Editor for Information Systems Research and MIS Quarterly, along with board memberships at other leading journals, demonstrates his significant influence in the field. Professor Tan has secured research grants supporting projects on digital crisis preparedness, disaster response technology, and healthcare digitalization. His research group focuses on understanding how technology can be designed and implemented to support organizations in crisis situations, enhance healthcare services, and improve digital commerce. Current projects include examining digital crisis management, technology for disaster response, and the digital transformation of healthcare services.

Kunal MankodiyaView profile

Professor

• Wearable Sensors
• Smart Textiles
• Body Sensor Networks
• +3 more

Professor Kunal Mankodiya is a faculty member in the Department of Electrical, Computer and Biomedical Engineering at the University of Rhode Island. He holds the rank of Professor and is affiliated with the College of Engineering. His research focuses on wearable technologies, smart textiles, and medical IoT systems, with notable contributions in neural engineering and body sensor networks. Education Ph.D., University of Luebeck, Germany (2010) M.S., Biomedical Engineering, University of Luebeck, Germany (2007) B.S., Biomedical Engineering, Saurashtra University & C.U. Shah College (2003) Postdoctoral Researcher, Carnegie Mellon University (2011-2014) Postdoctoral Researcher, University of Pittsburgh (2011) Research Interests Mankodiya’s work emphasizes innovative wearable sensor systems for healthcare applications, including smart textiles for medical monitoring and IoT-enabled telemedicine solutions. His research integrates electrical engineering, biomedical engineering, and computer science to address challenges in neurological disorders, neonatal care, and movement disorders. Grants & Awards 2017 NSF CAREER Award 2017 40 under 40 Award, Providence Business News Lead PI on grants totaling over $5M, including NSF CAREER and NIH-funded projects Labs & Teams Mankodiya leads the Smart Wearable and IoT Lab at URI, focusing on interdisciplinary research in healthcare technology. His team collaborates with clinical partners on projects like neonatal monitoring systems and Parkinson’s disease tele-assessment tools.

Satish NambisanView profile

Professor

• Innovation management
• Digital Innovation
• Entrepreneurship
• +6 more

Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.

Fariya SharmeenView profile

Associate Professor

• Urban Planning
• Travel Behavior Modeling
• Social Network Analysis
• +5 more

Fariya Sharmeen is an Associate Professor of Mobility and Urban Planning at KTH Royal Institute of Technology's School of Architecture and the Built Environment (ABE), affiliated with the Digital Futures Faculty. She holds a PhD from Eindhoven University of Technology and has previously served as Assistant Professor at Radboud University, Lecturer at Bangladesh University of Engineering and Technology (BUET), and research fellow at institutions including TU Delft and Imperial College London. Her research focuses on sustainable mobility transitions, social network dynamics in travel behavior, and policy responses to emerging transport technologies like MaaS and cycling innovations. Notable honors include the 2017 Piet Rietveld Award for transport research and a 2013 Royal Geographic Society award for transport geography. Sharmeen advises doctoral and master’s students on topics such as urban transformation and mobility governance. She coordinates courses like Sustainable Mobility (FAG3187) and leads projects like Bicification and ENCom. Her work integrates quantitative methods with policy analysis, addressing challenges in both global north and south contexts.

Bryon AragamView profile

Associate Professor

• Causality
• Statistical Machine Learning
• Probabilistic Modeling
• +6 more

Bryon Aragam is an Associate Professor of Econometrics and Statistics and Robert H. Topel Faculty Scholar at the University of Chicago Booth School of Business. His research focuses on the intersection of causality, statistical machine learning, and probabilistic modeling, with particular emphasis on applications to artificial intelligence systems including large language models like ChatGPT and generative models like DALL-E. Dr. Aragam completed his PhD in Statistics and a Masters in Applied Mathematics at UCLA, where he was an NSF graduate research fellow. Prior to joining the University of Chicago, he was a project scientist and postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University. Research Focus: Causal structure learning in probabilistic generative models Key Areas: Causal machine learning, deep generative models, latent variable models, statistical learning theory Applications: AI interpretability, ethics, and fairness in artificial intelligence systems Teaching: Business Statistics, Econometrics and Statistics Colloquium His recent publications demonstrate a strong theoretical foundation combined with practical applications, particularly in understanding and improving AI systems. His work spans causal discovery, graphical models, deep learning, and latent variable modeling, with particular attention to the theoretical properties of these methods and their applications to real-world AI challenges. The research shows a progression toward increasingly complex problems in causal representation learning and AI interpretability. Scientific Awards: Robert H. Topel Faculty Scholar NSF Graduate Research Fellow Dr. Aragam's work has been published in top statistics and machine learning venues including the Annals of Statistics, Neural Information Processing Systems (NeurIPS), the International Conference on Machine Learning (ICML), and the Journal of Machine Learning Research (JMLR). His research group publishes broadly across both statistical and machine learning communities, demonstrating the interdisciplinary nature of his work at the intersection of statistics, machine learning, and causal inference. As a data science consultant for technology and marketing firms, Dr. Aragam has applied his expertise to problems in survey design, customer retention, logistics, and ranking, bridging the gap between theoretical research and practical applications.

Yong LinView profile

Associate Professor

• Operations and Supply Chain Management
• Digital Transformation
• Sustainability Strategies
• +5 more

Dr Yong Lin is an Associate Professor in Operations and Supply Chain Management at the Department of Management, Birmingham Business School, University of Birmingham. He joined the university in September 2021, having previously held academic positions at the University of Greenwich and Huazhong University of Science & Technology. He has also served as a visiting researcher at the Institute for Manufacturing (IfM), University of Cambridge, and as a research assistant at the Hong Kong University of Science & Technology. PhD in Management Science and Engineering, Huazhong University of Science & Technology, 2002 MSc in Industrial Engineering and Management, Huazhong University of Science & Technology, 1999 Dr Lin’s research focuses on digital transformation and sustainability strategies in operations and supply chains. His key interests include supply chain risk and resilience, digital logistics platforms, business ecosystems, and manufacturing strategies. He explores how digital technologies such as blockchain and RFID can enhance transparency, efficiency, and sustainability across supply networks. His recent publications reflect a strong trend toward digitalization, resilience, and sustainability in supply chains, with studies on modular resilience in multinational platforms, blockchain in remanufacturing, and digitalization in healthcare logistics. His work frequently appears in top-tier journals such as International Journal of Operations and Production Management , Journal of Cleaner Production , and Technological Forecasting and Social Change . Senior Fellow of the Advance HE (Higher Education Academy) Certified Management and Business Educator, Chartered Association of Business Schools (CABS) Chartered Fellow, Chartered Institute of Logistics and Transport (CILT) Dr Lin has led and coordinated several research projects funded by the National Natural Science Foundation of China (NSFC), the 863 Program, and the European Regional Development Fund. He actively engages in industry consulting to transfer research outcomes into practical business solutions. He welcomes PhD applicants interested in digital transformation, sustainability, logistics platforms, and business ecosystems. He is also involved in advising and mentoring graduate researchers in these domains. Dr Lin is affiliated with the Department of Management at Birmingham Business School, where he contributes to research, teaching, and knowledge exchange in operations and supply chain management. His work bridges academic rigor with real-world application, particularly in digital and sustainable supply chain innovation.

Dan A. IancuView profile

Associate Professor

• Operations Research
• Finance
• Risk Management
• +7 more

Dan A. Iancu is an Associate Professor of Operations, Information & Technology at Stanford Graduate School of Business, affiliated with the Emmett Interdisciplinary Program in Environment and Resources (E-IPER). He holds a BS from Yale, SM from Harvard, and PhD from MIT. His research bridges operations, finance, and sustainability, focusing on dynamic optimization under uncertainty and its applications in supply chains, FinTech, and healthcare. Notable work includes designing financing solutions for global supply chains and promoting ethical analytics. Education: BS in Electrical Engineering (Yale, 2004), SM in Engineering (Harvard, 2006), PhD in Operations Research (MIT, 2010). Professional experience includes a Goldstine Fellowship at IBM Research and teaching roles at Wharton and INSEAD. He has won multiple awards including INFORMS Optimization Society (2009) and JFIG (2013) prizes. Research emphasizes fairness and environmental impact, with recent projects on sustainable palm oil production and climate impacts of digital supply chains. His work appears in Management Science, Operations Research, and Mathematics of Operations Research. Awards include Srivani Faculty Scholar (2023–24) and teaching commendations at Harvard, MIT, and INSEAD. He advises on multi-disciplinary projects involving engineering, environmental science, and business students.

• Business Analytics
• Supply Chain Management
• Electronic Commerce
• +3 more

Joshua Ignatius is a Professor of Business Analytics at the Aston Business School, part of the College of Business and Social Sciences at Aston University. He focuses on research areas including supply chain analytics, prescriptive analytics, electronic commerce, and operations management. His work often addresses challenges such as information asymmetry in supply chains, user recommender systems, and logistics optimization. He is currently accepting PhD students in topics like Information Asymmetry in Supply Chains, User Recommender Systems, and Supply Chain Analytics. His research interests are centered on leveraging data-driven approaches to improve decision-making in supply chain and operational contexts. This includes studying disruption risk management, dynamic data modeling, and the integration of AI in cloud services. He also explores strategic decisions in e-commerce logistics, customer segmentation strategies, and environmental sustainability. Recent publications highlight his contributions to supply chain resilience, optimal security in cloud computing, and sustainable manufacturing processes. For instance, his 2025 work on supply chain network viability addresses disruption risks through dynamic data strategies. Another key area is the analysis of customer behavior in product upgrades, utilizing online review data to inform quality differentiation strategies. Dr. Ignatius has collaborated on projects involving platform information sharing, manufacturer encroachment, and logistics sourcing for e-commerce firms. His research often bridges theoretical frameworks with real-world applications, emphasizing practical solutions for operational challenges. He holds a strong record of supervising PhD students and guiding projects that combine academic rigor with industry relevance. His work frequently appears in leading journals such as the European Journal of Operational Research and Journal of Operations Management.

• Data Collaboratives
• Digital Government
• Open Data
• +5 more

Iryna Susha serves as an Assistant Professor in the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University's Faculty of Geosciences. Her academic journey includes obtaining a PhD from Orebro University in Sweden, establishing her expertise in digital governance and data collaboration frameworks. Dr. Susha's research focuses on how organizations across different sectors can collaborate and leverage data to address 21st century societal challenges while contributing to sustainability goals. Her work spans digital government, open data initiatives, and data collaboratives for public good, with particular attention to cross-sector partnerships, data governance models, and the practical implementation challenges of data sharing initiatives. She has developed significant expertise in analyzing how data ecosystems can be structured to support societal benefits while navigating complex regulatory and organizational landscapes. Her publication record shows a clear evolution from early work on e-participation and open government data toward more sophisticated frameworks for data collaboratives and digital innovation for sustainability. The research demonstrates consistent engagement with practical implementation challenges while maintaining strong theoretical grounding in governance and organizational theory. Prizes & Grants (1) Dr. Susha actively supervises PhD candidates, currently guiding Dwayne Ansah's research on data donations for social good and Olafur Thorarensen's work on algorithmic decision systems in healthcare. She leads the "Digital Innovation" course where students develop critical understanding of digital innovations' societal and economic impacts. Additionally, she co-leads the Special Interest Group on Digitalization & AI for Sustainability (DAISY), which serves as a hub for interdisciplinary research on sustainable digital transformation. Her research connects with several major projects including the DATA ALLY project and Data Purchasing project, demonstrating practical applications of her theoretical work in real-world contexts. The DAISY group she co-leads provides an important forum for advancing research on sustainable digital innovation across disciplinary boundaries.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +5 more

Luís B. Elvas is an Assistant Professor at ISCTE-University Institute of Lisbon's Department of Social and Business Sciences (SINTRA) and a Research Assistant at ISTAR-Iscte Research Center. He holds qualifications including a Technical Specialization in TensorFlow for AI (Coursera, 2021) and certifications in IoT/Blockchain from ISCTE and cybersecurity from Palo Alto Networks. His research spans artificial intelligence, healthcare informatics, smart cities, and blockchain, with applied work in medical imaging, data sharing, and urban analytics. Research interests include: Healthcare AI : Developing deep learning models for cardiac diagnostics, medical imaging analysis, and blockchain-based health data systems Smart Cities : Implementing IoT solutions for urban mobility optimization, disaster management, and sustainable transportation Data Science : Creating predictive analytics frameworks for clinical decision support and urban planning His publications demonstrate a strong focus on AI-driven healthcare solutions (67% of recent works) and smart city technologies (33%), with emerging interests in blockchain and NLP. Research consistently targets real-world applications in clinical settings and urban environments. Awards: Award for best internship, Order of Engineers (2022) Distinction for best internship, Order of Engineers (2021) He leads/contributes to multiple EU research consortia including AMR-EDUCare (antimicrobial resistance education), NEEM (e-health in Nepal), and Blockchain.PT. Coordinates the IEEE Computational Intelligence Society Student Branch Chapter at ISCTE and developed the ManagiDiTH master's program in digital health transformation.

Yuan ZhongView profile

Associate Professor

• Applied Probability
• Stochastic Systems
• Operations Management
• +7 more

Yuan Zhong is an Associate Professor of Operations Management at the University of Chicago Booth School of Business . He previously held positions as an Assistant Professor at Columbia University’s Department of Industrial Engineering and Operations Research and was a Postdoctoral Scholar at UC Berkeley’s Computer Science Department. Education: PhD in Operations Research, MIT (2012) MA in Mathematics, Caltech (2008) BA in Mathematics, University of Cambridge (2006) His research focuses on applied probability and stochastic system design , with applications in cloud computing , supply chain management , and e-commerce logistics . Recent work explores multi-period production systems and dynamic resource allocation in data centers and healthcare operations . Recent publications analyze cloud value chains , sparse graph design for delivery networks, and process flexibility in manufacturing. He has contributed to journals like Operations Research , Annals of Applied Probability , and Stochastic Systems . Scientific Awards: 2012 Kenneth C. Sevcik Outstanding Student Paper Award Best Student Paper Award at ACM Sigmetrics (2012) He teaches courses in business process fundamentals and queueing theory , with a future schedule including Operations Management: Business Process Fundamentals (2025–2026). No explicit student advising list was provided.

Arun RaiView profile

Professor

• Information Systems
• Digital Innovation
• Artificial Intelligence
• +4 more

Arun Rai serves as Regents’ Professor and Howard S. Starks Distinguished Chair at Georgia State University's Robinson College of Business, where he co-founded and directs the Center for Digital Innovation. His career spans interdisciplinary research bridging information systems with societal impact through industry-university collaborations across global sectors. His educational foundation includes: Ph.D. from Kent State University MBA from Clarion University of Pennsylvania M.S. from Birla Institute of Technology & Science Rai's research explores digital innovation , AI governance , and societal impacts of technology through investigations of platform ecosystems, supply chain transformation, and digital solutions for poverty and health disparities. His work uniquely connects technical systems design with behavioral and organizational outcomes across contexts from rural India to global corporations. Recent publications (2023-2025) reveal intensifying focus on AI-human collaboration , digital risk assessment , and platform governance tensions , with growing emphasis on healthcare applications and equity implications. The trajectory shows evolution from organizational IT adoption toward complex sociotechnical systems addressing global challenges. His scientific recognition includes: Fellow of the Association for Information Systems Distinguished Fellow of the INFORMS Information Systems Society LEO Award for Lifetime Exceptional Achievement Rai has mentored over 60 doctoral students (30+ as chair) with alumni now holding leadership positions globally. His research attracts major funding from Apollo Hospitals, China Mobile, IBM, Intel, UPS, and federal agencies, enabling real-world implementations like the Global Supply Chain Solutions Program during UPS's digital transformation. Current initiatives focus on generative AI in education and healthcare IT policy impacts. As director of the Center for Digital Innovation, he cultivates cross-sector partnerships advancing digital transformation through collaborative research on AI governance, platform ecosystems, and societal impact measurement.

Michael P. O'BrienView profile

Associate Professor

• Data Analytics
• Cognitive and Educational Psychology
• Software Comprehension Strategies
• +7 more

Michael P. O'Brien is an Associate Professor of Information Management at the Department of Management & Marketing, Kemmy Business School, University of Limerick. He teaches undergraduate and postgraduate modules in Information & Knowledge Management, Business Analytics Simulation, and Technical Communication, serving as Course Director for the MA in Business Management programme. PhD in Computer Science (University of Limerick) MSc in Computer Science (by research and thesis, University of Limerick) BSc (Hons) in Information Systems His research bridges Data Analytics , Software Evolution , and Educational Psychology , focusing on empirical studies of programmers, instructional design, and gamification in education. Recent publications explore experiential learning and gamification for strategic thinking . Michael supervises Masters students in topics ranging from Cloud Computing Security to Blockchain in Finance , with a focus on Big Data and AI Impacts . His advising style emphasizes practical applications and technology-driven solutions. 2000 : AGB Dwyer Memorial Award for Excellence in Education 2017 : KBS Seed Funding Competition He actively contributes to academic networks like the Irish Learning Technology Association and Psychology of Programming Interest Group , aligning his work with UN Sustainable Development Goals.

Jan EngelhardtView profile

Assistant Professor

• Electric Vehicle Systems
• Battery Energy Storage
• Power System Integration
• +4 more

Jan Engelhardt serves as Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in e-mobility and prosumer integration within power and energy systems. His work directly contributes to UN Sustainable Development Goals through grid modernization and renewable energy integration. His research focuses on electric vehicle-grid integration , with core expertise in battery energy storage systems, DC microgrids, and virtual power plants. Key investigation areas include smart charging architectures for EV clusters, frequency response services, phase balancing techniques, and V2X management strategies. His experimental approach combines theoretical modeling with real-world validation of control systems for enhanced grid stability. Recent publications demonstrate a clear trend toward distributed control solutions for electric vehicle clusters, emphasizing user-centric scheduling while providing grid services. His work increasingly incorporates experimental validation of frequency control architectures and explores high-power reconfigurable battery applications for fast-charging infrastructure. Dr. Engelhardt actively supervises PhD candidates on projects including Hybrid Energy Solutions (EV charging and battery storage synergies) and Provision of Grid Services through EV Aggregation. He participates in major EU initiatives like EV4EU (Electric Vehicles Management for Carbon Neutrality in Europe) and GREAT (GRid Enhancement for Ancillaries in Tomorrow’s power systems), securing substantial research funding through Horizon Europe frameworks.