Find Academic Supervisors

• Optimization and Metaheuristics
• Supply Chain Management
• Behavioral and Cognitive Sciences
• +3 more

Dr. Hanane El-Raoui is a Lecturer in Management Science at the University of Strathclyde, affiliated with the Strathclyde Business School. Her research focuses on interdisciplinary applications of optimization, behavioral modeling, and AI to enhance occupational safety and supply chain efficiency. She holds a PhD from the University of Granada (2022) in Models and Computational Intelligence for Food Supply Chain Delivery. Her work integrates behavioral and cognitive sciences, Bayesian statistics, and machine learning to predict human behavior in safety contexts. Key projects include agent-based modeling for decision-making processes and serious games for risk preference elicitation. She co-leads the EPSRC-funded project on sustainable garment operations (2022–2026). El Raoui’s recent research emphasizes smart factory safety via spatio-temporal worker movement analysis and digital twin technologies. She received the 2025 FAIM Sullivan Best Paper Award for contributions to circular business models. Her advisory roles include managing grants and overseeing PhD student development in organizational safety and efficiency.

Kaisu PuumalainenView profile

Professor

• Strategy and Management
• Business and International Management
• Marketing
• +2 more

Kaisu Puumalainen is a Professor in the Department of Business Studies at LUT Business School, LUT University, Lappeenranta, Finland. Her work bridges strategic management, innovation, and international business, with a strong focus on SMEs, entrepreneurship, and technological change. Her research interests include: Strategy and Management Business and International Management Marketing Management of Technology and Innovation Business, Management and Accounting Her recent publications analyze the future of knowledge-intensive work, skill gaps in accounting, and innovation in sport entrepreneurship. These works reveal a consistent interest in organizational adaptation, stakeholder dynamics, and the impact of digital transformation on professional fields. She frequently collaborates with scholars from Finnish and international institutions, contributing to high-impact journals in managerial science and entrepreneurship. Her scholarly contributions include peer review activities for journals such as: Journal of Business Ethics Research Policy Review of Managerial Science Scandinavian Journal of Management Technological Forecasting and Social Change Technovation Kaisu Puumalainen actively engages in academic service and knowledge dissemination. While no formal advising or grant information is publicly listed, her extensive publication record and collaborative research suggest a central role in advancing management research, particularly in the Nordic and global SME context.

Arshad SalemaView profile

Associate Professor

• Clean Energy Technologies
• Biomass Gasification
• Microwave Processing
• +7 more

Dr. Arshad Salema is an Associate Professor and Course Director (Master of Applied Engineering) in the Mechanical Engineering Department at Monash University's School of Engineering. His research focuses on clean energy technologies, biomass gasification, microwave processing, and advanced materials like MXene. He has led projects such as 'Microwave Sterilization of Palm Fresh Fruits' and 'Biomass Gasification for Syngas Production.' Dr. Salema holds a PhD from Universiti Teknologi Malaysia (UTM) and completed a postdoc at the University of New Brunswick, Canada. His expertise spans renewable energy systems, energy efficiency, and sustainable materials. Awards include the 2023 PVC’s Excellence in Research Engagement and the School of Engineering Research Award 2023. He teaches courses like Energy Efficiency and Sustainable Engineering, and advises students on graduate research. Dr. Salema collaborates with industry and government, advancing sustainable engineering solutions through initiatives like solar PV installations and waste-to-energy projects. Key projects include the development of MXene-biochar composites and integrating microwave technology for biomass processing. His work aligns with UN SDGs, emphasizing sustainability and clean energy innovation.

Paweł JamrózView profile

Assistant Professor

• Public Finance
• Sustainable Development
• Quantitative Economics
• +4 more

Paweł Jamróz is an Assistant Professor at the Department of Business Studies (Division of Quantitative Methods) within the Faculty of Economics and Finance at the University of Białystok. His research focuses on public finance, sustainable development, fiscal governance, and quantitative economic analysis. He explores topics such as public debt sustainability, stock-flow adjustment dynamics, regional development strategies, and policy evaluation methodologies. Key research themes include the interplay between public debt and sustainable development, fiscal stability in the European Union, and the economic implications of Poland’s financial policies. Dr. Jamróz frequently employs quantitative methods to analyze debt dynamics, budget imbalances, and transport infrastructure’s role in regional growth. His work addresses contemporary challenges in public finance, offering insights into policy design and implementation. Recent studies emphasize the integration of environmental considerations with fiscal frameworks and the application of advanced analytical techniques like TOPSIS and principal component analysis for policy assessment.

Fehmi TanrıseverView profile

Associate Professor

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

Dr. Fehmi Tanrısever is an Associate Professor at Bilkent University's Faculty of Business Administration. He specializes in Operations Management and Finance, with research focusing on commodity risk management, start-up operations, and the interface between operational and financial decisions. He previously served at Eindhoven University of Technology until 2013 and holds a PhD from the University of Texas at Austin. Education: PhD in Supply Chain and Operations Management, McCombs School of Business, University of Texas at Austin (2009) Research Interests: Commodity Risk Management Operations-Finance Interface Start-up Operations Supply Chain Finance Fintech Energy Operations His work bridges operational decisions with financial implications, particularly in energy markets and pandemic scenarios. Publications Trends: Recent work emphasizes pandemic management strategies, energy market optimization, and financial hedging mechanisms. Papers often combine stochastic modeling with real-world applications in supply chain resilience and policy design. He is a Senior Editor for Production and Operations Management and has advised on energy market reforms like the Turkish Day-Ahead Electricity Market. No formal student advisees are listed in the provided materials.

• Network Protocol Validation
• Formal Methods in Software Engineering
• Mobile and Wireless Networks (MANETs/IoT)
• +3 more

Stéphane MAAG is a Professor at Telecom SudParis, associated with the SAMOVAR research laboratory. His work focuses on formal methods for protocol validation, network security, and distributed systems monitoring. He has contributed to advancing testing methodologies for mobile ad-hoc networks (MANETs), IoT protocols, and wireless communication systems. His research integrates machine learning techniques for automation and has been applied to web testing frameworks and ERP systems. Key research areas include protocol performance evaluation, trust management in networks, and curriculum design for computer science ethics. His work spans both academic surveys (e.g., European ethics education studies) and technical innovations (e.g., proactive interoperability solutions for wireless routing). Publications emphasize practical applications of formal methods, with over 50 peer-reviewed articles in journals like International Journal of Ethics Education , Computer Communications , and IEEE Transactions . His work bridges theoretical foundations with real-world systems like ODOO ERP and SIP protocols.

• Energy Economics
• Virtual Power Plants
• Agent Based Modelling
• +7 more

Gary Howorth is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. With a PhD in Power Aggregation Business Models and extensive industry experience across BP, Arthur Andersen, PA Consulting, and PFC Energy, he brings a unique blend of technical and economic expertise to energy systems research. His work bridges industry practice and academic inquiry, focusing on next-generation energy solutions. His educational background includes a PhD (2023) and MBA from the University of Strathclyde, and a BSc in Electronic Engineering from the University of Southampton. Doctor of Philosophy, Power Aggregation Business Models, University of Strathclyde (2023) Master of Business Administration (MBA), University of Strathclyde (1990) Bachelor of Science, Electronic Engineering, University of Southampton (1982) Dr. Howorth's research focuses on Virtual Power Plants (VPPs) , agent-based modeling , energy market dynamics , and business model innovation in distributed energy systems. His work integrates technical modeling with economic and behavioral analysis, particularly in the context of smart grids and decarbonization. His recent publications (2023–2025) reveal a strong trend toward modeling DSO risk, optimizing VPP operations, and analyzing human and corporate behavior in energy markets. These works emphasize forecasting accuracy , flexibility markets , and real-world implementation challenges of VPPs, contributing to the transition toward net-zero energy systems. His scientific recognition includes the EE Zepler Prize (1981). He has contributed to major research projects, including an EPSRC-funded Doctoral Training Partnership, and is actively involved in professional activities such as CIRED 2025. Dr. Howorth has advised doctoral researchers and served as a Research Co-investigator on funded projects. He has collaborated with industry and international bodies, including part-time work with the World Bank on carbon financing and clean energy initiatives. His research is supported by grants from EPSRC and contributes to UN Sustainable Development Goals in energy and sustainability. He is involved in the development of VPP platforms and participates in professional networks such as the Energy Institute, where he served as Secretary for the Southern Scotland Branch until 2024.

Farhad MoeeniView profile

Professor

• Operations Management
• Information Systems
• Business Analytics
• +9 more

Dr. Farhad Moeeni is a Professor of Information Systems and Business Analytics at Arkansas State University, affiliated with the Neil Griffin College of Business. He is the founder of the Data Automation Laboratory and holds a Ph.D. in Operations Management and Information Systems from the University of Arizona. His research focuses on data automation technologies such as RFID, bar coding, and the Internet of Things (IoT), particularly in supply chain and service operations. He has developed computational models for RFID-based location sensing and has worked on simulating customer impatience and data collection in simulation modeling. His recent work integrates RFID with live audio/video streaming systems, resulting in a U.S. utility patent. Dr. Moeeni has published in prominent journals including Decision Sciences Journal , International Journal of Production Economics , and International Transactions in Operational Research . His publications reflect strong expertise in operations research, decision sciences, quality management, and production systems. Key themes include data-driven decision making, automation in operations, and intelligent supply chains. He serves on the Editorial Board of the International Journal of RF Technologies: Research and Applications and has been a frequent guest lecturer at the University of Caen, France. He was Co-chair of the Identity Solutions Symposium and Workshop and served as Principal Investigator on a multi-university project funded by the Arkansas Science and Technology Authority. Dr. Moeeni advises graduate students and leads the Data Automation Laboratory, where ongoing research includes modeling service operations and advancing RFID-based indoor tracking systems. His educational background includes a Ph.D. in Operations Management with an MIS minor and an M.S. in Industrial Engineering, both from the University of Arizona.

Ihtiyor BobojonovView profile

Researcher

• Agricultural Economics
• Climate Change
• Risk Management
• +4 more

Dr. Ihtiyor Bobojonov is a Researcher at the Leibniz Institute of Agricultural Development in Transition and Emerging Economies (IAMO) , where he has worked since 2012. His research focuses on climate change adaptation , agricultural insurance , and supply chain dynamics in transition economies, particularly Central Asia. He completed his PhD at the University of Bonn , analyzing crop and water allocation under uncertainty in Uzbekistan, and received the ZEF Doctoral Thesis Prize (2007–2009). His work addresses agricultural market potentials in CIS countries, emphasizing supply chain transformation 's impact on producer welfare and insurance market development for climate resilience. He leads IAMO’s Central Asia International Research Group and coordinates the German-Uzbek Chair on Central Asian Agricultural Economics at Tashkent International Agricultural University. His methodological expertise spans bioeconomic modeling , machine learning , and experimental economics , with applications in weather index insurance and remote sensing for yield estimation. Key scientific awards include ZEF’s best thesis prize. His 15 most recent articles (2025–2020) explore topics across agricultural insurance markets , climate risk mitigation , wheat yield modeling , and peer influence on adaptation strategies , with empirical studies in Uzbekistan, Kyrgyzstan, and Mongolia. Research projects like KlimALEZ and DETECCT highlight his commitment to building climate-resilient agrifood systems through innovative financial instruments and digital technologies .

Franziska AppelView profile

Researcher

• Agricultural structural change
• Agent-based modeling
• Resilience of farming systems
• +3 more

Dr. Franziska Appel is a Researcher at the Leibniz Institute of Agricultural Development in Transition Economies (IAMO) since 2009, focusing on agricultural structural change, agent-based modeling, and resilience of farming systems. She works in the Structural Change Department , specifically in the Business and Structural Development in Rural Areas unit. Her role also includes serving as IAMO's Equal Opportunities Officer. Education: Agricultural Sciences (Economics and Social Sciences) from Martin Luther University Halle-Wittenberg (PhD: 2018) Research Interests revolve around agricultural structural dynamics, agent-based simulations of policy impacts, land market regulations, renewable energy policy effects, and socio-economic factors in farming resilience. She integrates behavioral economics into models like AgriPoliS and FarmAgriPoliS to analyze farm decision-making. Scientific Contributions include high-impact publications in journals such as Journal of Agricultural Economics and Land Use Policy , policy briefs, and methodological advancements in agent-based modeling. She actively participates in international conferences and EU projects like SURE-Farm and FORLand.

• Transportation Engineering
• Road Safety
• Intelligent Transportation Systems
• +3 more

Rhonda Kae Young , Ph.D., PE, is an Associate Dean of Faculty Affairs and Professor of Civil Engineering at Gonzaga University , where she has worked since 2015. With an academic career spanning since 2002, she teaches undergraduate and graduate courses in Transportation Engineering and freshman/sophomore engineering curricula. Education: Ph.D. (2002), M.S. (1999), Graduate Certificate (2001) from University of Washington; B.S. (1992) from Oregon State University Research Focus: Transportation safety, Connected Vehicle Technology for adverse weather operations, and equity in infrastructure Professional Affiliations: Registered Professional Engineer in Washington and Wyoming; active participant in Transportation Research Board, American Society of Engineering Education, and Institute of Transportation Engineers Recognitions: No specific scientific awards mentioned in available data Teaching: Courses include CENG 418 Transportation System Design, CENG 318 Transportation Engineering, and CENG 193 FYS: Equity & Infrastructure Rhonda's publications demonstrate expertise in weather-responsive traffic control systems , variable speed limit corridors , and pedagogical approaches to transportation engineering education. Her work with National Science Foundation grants indicates collaboration with multi-institutional teams on curriculum development. Current research explores Connected Vehicle Technology applications for adverse weather operations and bicycle rolling stop laws through simulator studies. She actively contributes to transportation safety analysis and public involvement frameworks in infrastructure planning.

Tugba EfendigilView profile

Assistant Clinical Professor

• Digital Transformation
• Circular Supply Chains
• Supply Chain Management
• +6 more

Tugba Efendigil is a Clinical Assistant Professor in the Operations and Technology Management department at Boston University's Questrom School of Business. Her research focuses on the digital transformation of supply chains, circular supply chain systems, and applications of machine learning in operational optimization. Prior to joining BU, she worked as a research scientist at MIT and gained academic and industry experience in Turkey (2012–2017). She holds a Master of Science and PhD in Industrial Engineering from Yildiz Technical University, and completed postdoctoral research at Katholieke Universiteit Leuven in Belgium. Her academic work spans supply chain design, ERP systems, reverse logistics, and electronic waste management. She has published in leading journals such as Annals of Operations Research , Computers & Industrial Engineering , and Expert Systems with Applications . Her methodological expertise includes fuzzy logic, neural networks, and hybrid AI approaches. Professional memberships include the IEEE Technology and Engineering Management Society and the Decision Science Institute . Her teaching experience covers both undergraduate and graduate-level courses, with a focus on integrating academic research with practical applications in start-up environments.

Linda Weiser FriedmanView profile

Professor

• Corporate Social Responsibility
• Leadership
• Operations Management
• +9 more

Linda Weiser Friedman is a Professor in the Paul H. Chook Department of Information Systems and Statistics at the Zicklin School of Business, Baruch College (CUNY). She holds a Ph.D. in Operations Research (1983) and an M.S. in Applied Statistics (1980) from Polytechnic Institute of New York, and a B.A. in Statistics/Biology (1976) from Baruch College. Her research spans Corporate Social Responsibility, Leadership, Operations Research, Humor Studies , and Quantitative Modeling , with a focus on ethical leadership, simulation metamodeling, and Jewish humor as a cultural/social justice tool. Academic Degrees B.A., Statistics/Biology (Baruch College, 1976) M.S., Applied Statistics (Polytechnic Institute of New York, 1980) Ph.D., Operations Research (Polytechnic Institute of New York, 1983) Her scholarly work examines technology ethics, simulation analysis , and interdisciplinary education , with recent publications on diversity in academia and Jewish humor. She has received multiple awards, including the Zicklin Hybrid & Online Teaching (HOT) Award and annual Celebration of Faculty Scholarship recognitions (2007-2013). Her teaching includes courses in Business Statistics, Object-Oriented Programming , and Jewish Humor . Scientific Awards : Zicklin Hybrid & Online Teaching (HOT) Award (2013) Tenth Annual Celebration of Faculty Scholarship (2012) Ninth Annual Celebration of Faculty Scholarship (2011) Eighth Annual Celebration of Faculty Scholarship (2010) Zicklin Fellow (1999-2000)

Christopher PalView profile

Associate Professor

• Artificial Intelligence
• Computer Vision
• Pattern Recognition
• +6 more

Christopher Pal is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a Ph.D. from the University of Waterloo, he has held academic positions at the University of Rochester and the University of Toronto, and industry roles at Interval Research and Microsoft Research's Interactive Visual Media Group. Fields of Expertise: Artificial Intelligence, Computer Vision, Pattern Recognition, Machine Learning, and Natural Language Processing Affiliations: CIFAR Chair in Artificial Intelligence, Institute for Data Valorization (IVADO) Member His research focuses on deep learning applications in visual question answering , medical image segmentation , and generative models . Recent work involves multimodal data analysis for climate modeling and vision-language systems for code generation. Key projects include CarbonSense for climate flux modeling and GeoCoder for geometry problem-solving AI. His 15 most recent publications (2023-2025) span topics from diffusion models to multi-agent systems , with emphasis on video generation , 3D animation , and environmental applications . Scientific recognition includes: CIFAR Chair in Artificial Intelligence IVADO Institute Membership Top-2% cited researcher (2021) He has supervised 22 Ph.D. and Master's students, with recent graduates working on generative AI , reinforcement learning , and medical imaging . Current research grants include MITACS-funded projects in software engineering agents and drone imagery analysis for tropical forest conservation.

Michele GelfandView profile

Professor

• Cultural Psychology
• Cross-Cultural Management
• Organizational Behavior
• +4 more

Michele Gelfand is a Professor of Organizational Behavior at Stanford Graduate School of Business and a Professor of Psychology (by courtesy) at Stanford University. She directs the Culture Lab, which investigates cultural norms, negotiation, conflict, revenge, forgiveness, and diversity through interdisciplinary collaborations with computer scientists, neuroscientists, and political scientists. Her research focuses on the concept of 'tightness-looseness' in cultures, exploring how rigid or permissive social norms shape societal responses to threats, innovation, and governance. She has received over $13 million in funding from the National Science Foundation, Department of Defense, and the FBI. Current Affiliation: Stanford Graduate School of Business Previous Affiliation: University of Maryland Gelfand's work spans cultural psychology, organizational behavior, and conflict management. Recent studies examine gene-culture interactions, gender inequality dynamics, and the role of cultural tightness in pandemic response. She has published in top journals like Science , PNAS , and The Lancet Planetary Health , often integrating neuroscience and computational methods. Her research on social norms during crises, particularly the early stages of the COVID-19 pandemic, highlights how cultural tightness-looseness influences compliance, identity, and policy effectiveness. Notable awards include election to the National Academy of Sciences (2021) and the American Academy of Arts and Sciences (2019), the Diener Award (2016), and the SIOP Distinguished Scientific Contributions Award (2022). She authored Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World (Scribner, 2018) and co-edited multiple handbooks on conflict, negotiation, and cross-cultural psychology. Her lab's work extends to global cultural evolution, artificial intelligence's societal impact, and behavioral interventions in polarized environments. Key Themes: Cultural Tightness-Looseness, Social Norms, Conflict Resolution, Pandemic Behavioral Dynamics Grants: NSF, DoD, FBI Gelfand's interdisciplinary approach bridges psychology, business, and computational sciences, aiming to decode the primal templates of culture that govern human societies.