Find Academic Supervisors

• Algorithms and Complexity
• Parameterized Algorithms
• Approximation Algorithms
• +7 more

Matthias Mnich is a Professor and Head of the Institute for Algorithms and Complexity at Hamburg University of Technology (TUHH), within the School of Electrical Engineering, Computer Science and Mathematics. He also serves as Deputy Dean International, reflecting his leadership in academic administration and international collaboration. He is a principal investigator at the Helmholtz Graduate School for the Structure of Matter, further emphasizing his interdisciplinary impact. His research lies at the intersection of theoretical computer science and practical algorithm design, focusing on parameterized algorithms , approximation algorithms , combinatorial optimization , scheduling , and algorithmic game theory . His work often bridges theoretical guarantees with real-world applications in energy systems, quantum computing, and logistics. The recent publications (2023–2025) highlight his sustained excellence in top-tier venues such as FOCS, ICALP, ESA, STACS, and journals like Mathematical Programming and ACM Transactions on Algorithms . These works explore foundational problems in vector bin packing , integer programming , graph algorithms , and kernelization , while also applying algorithmic techniques to microgrid energy optimization and quantum algorithm engineering . He is deeply embedded in the theoretical computer science community, having served on program committees of major conferences including: STACS 2023 ESA 2024 FOCS 2023 ICALP 2024 IJCAI 2019–2025 AAAI 2018 SWAT 2018 He has successfully supervised several PhD students to completion, including Matthias Kaul , Roland Vincze , and Alexander Göke , many of whom have taken postdoctoral positions at institutions like the University of Bonn and University of Augsburg. His current research projects include PATTERN (2025–2031) , Hamburg Quantum Computing (2024–2029) , and Kernelization for Big Data , indicating long-term funding and strategic research directions. He leads the Institute for Algorithms and Complexity (E-11) , fostering a research environment focused on high-impact algorithmic research.

Agnieszka JagodaView profile

Professor

• Supply Chain Management
• Project Teams
• Cross-organizational Management
• +5 more

Agnieszka Jagoda is a Professor at the Department of Strategic Management and Logistics at the Wrocław University of Economics – Jelenia Góra Branch. Her research focuses on supply chain management, project teams, cross-organizational collaboration, sustainability, and digitalization in human resources. She supervises doctoral students and actively publishes in areas such as sustainable logistics, environmental behavior, and stakeholder analysis. Her work bridges theoretical frameworks with empirical studies, emphasizing practical implications for business and policy. Key research interests include last-mile delivery sustainability, environmental awareness comparisons across nations, and the integration of digital tools in HR management. Notable projects involve analyzing stakeholder perspectives in circular economy initiatives and examining human flows within supply chains. Her empirical studies often employ mixed-methods approaches, combining qualitative focus groups with quantitative analyses. Consultations are held via MS Teams during summer semesters, reflecting her engagement with modern communication tools. While no awards are explicitly listed, her prolific publication record indicates recognition in academic and practitioner circles.

Iain MacgillView profile

Associate Professor

• Renewable Energy Integration
• Electricity Market Design
• Distributed Energy Systems
• +4 more

Associate Professor Iain MacGill at the University of New South Wales leads interdisciplinary research at the intersection of renewable energy integration , electricity market design , and policy frameworks for low-carbon transitions. As a core member of the Centre for Energy and Environmental Markets , he develops computational models for coordinating distributed energy resources in restructured power systems. PhD in Electrical Engineering (UNSW) B.Eng. & M.Eng.Sci. (University of Melbourne) His work examines technical-economic-commercial challenges of renewable integration, with recent focus on: 24/7 zero-emission energy tracking frameworks Temporal matching in renewable procurement Open-source tools for green hydrogen value chains Residential solar-battery interaction dynamics Current research projects involve smart grid technologies , community microgrid economics , and climate-resilient energy systems . He collaborates with institutions like ARENA , CSIRO , and ARC on grants addressing grid stability, cost allocation, and policy innovation.

Kristin KnipferView profile

Research Fellow

• Leadership Development
• Organizational Learning
• Team Dynamics
• +5 more

Dr. Kristin Knipfer is a Senior Research Fellow at the TUM School of Management and Executive Director of the TUM Institute for LifeLong Learning . Her research focuses on leadership as a catalyst for organizational learning and innovation, examining how leaders influence team dynamics in academic, entrepreneurial, and corporate settings. Leadership development in academia and business Organizational learning mechanisms Knowledge management systems Digital transformation in leadership education Her recent publications explore leader identity construal, narcissistic leadership impacts, and team reflection processes. She has received multiple awards including the TUM Digital Innovations in Management Education Award and the Richard A. Swanson Research Excellence Award nomination. She leads evidence-based leadership programs for academic leaders and has co-developed digital tools like the TUM Leadership Toolbox and EMMA digital leadership coach. Her work bridges theory and practice through collaborations with institutions like the Vienna University of Economics and Business.

• Robotics
• Human-Robot Interaction (HRI)
• Artificial Intelligence
• +3 more

Marc Hanheide is a Professor of Intelligent Robotics and Interactive Systems at the University of Lincoln 's School of Computer Science. With a career spanning EU projects like VAMPIRE, COGNIRON, CogX, and STRANDS, his work focuses on long-term robotic behavior, human-robot spatial interaction, and cognitive system architectures. He has secured over 12 major grants from organizations including EPSRC, BBSRC, and the European Commission. Key Research Areas : Autonomous robotics, HRI, AI, cognitive systems, agricultural robotics Current Projects : STRANDS (long-term behavior), AgriFoRwArdS (robotics training), NCNR (nuclear robotics) Major Contributions : Human-aware navigation modules, topology optimization for robot fleets, causal analysis frameworks Scientific Awards: While no specific awards are listed, his numerous EPSRC grants and leadership in multi-institutional projects highlight his impact. He has over 172 publications and collaborates with institutions like CoR-Lab and CITEC.

Christoph SchmidtView profile

Senior Lecturer

• Supply Chain Management
• Digital Technologies
• Blockchain
• +3 more

Christoph Schmidt is a Senior Lecturer in the Department of Management Information, Decisions & Operations at the University of Bath. His research focuses on the intersection of operations and information systems, particularly digital technology adoption in business and supply chains. Expertise in blockchain and additive manufacturing Contributions to UN Sustainable Development Goals (SDGs) Employs empirical methods with secondary and textual data Key research areas include supply chain risk management, data privacy, and digitalisation. His work often addresses humanitarian aid logistics and pandemic-related disruptions. Current research explores the physical-digital interface in blockchain applications and public reactions to supply chain glitches. Collaborations span multiple institutions and industries.

John GroutView profile

Professor

• Quality Management
• Mistake-Proofing
• Lean Manufacturing
• +5 more

John Grout is the David C. Garrett Jr. Professor of Business Administration and Chair of the Technology, Entrepreneurship, and Data Analytics Department at Berry College, within the Campbell School of Business. He previously served as dean of the school and returned to full-time faculty in 2016, continuing his leadership in academic innovation. His research focuses on quality management, particularly mistake-proofing (poka-yoke), lean manufacturing, and the impact of user innovation on supply chains. He has made significant contributions to healthcare process improvement, with publications guiding error reduction in clinical settings. The recent articles reflect a strong trend in applying operational excellence to healthcare systems, integrating concepts from manufacturing into medical process design. His work emphasizes designing systems that prevent errors through structural and procedural safeguards, supported by economic and behavioral models. Scientific Awards: Shingo Prize for Excellence in Manufacturing (2004) for 'The Human Side of Mistake-Proofing' John Grout has advised various organizational improvement initiatives and led the development of Berry College’s Creative Technologies program and the HackBerry Lab makerspace. His grants include work supported by the Agency for Healthcare Research and Quality (AHRQ), resulting in influential publications on healthcare process safety. He has also consulted widely with firms to improve operational reliability. He is actively involved in academic leadership, curriculum development, and cross-disciplinary innovation, particularly in integrating technology and entrepreneurship into undergraduate education.

Eren İnciView profile

Professor

• Urban Economics
• Transportation Economics
• Economics of Parking
• +3 more

Eren İnci is a Professor of Economics at the Faculty of Arts and Social Sciences, Sabanci University. His research focuses on Urban Economics and Transportation Economics , particularly the economics of parking, traffic congestion, and urban sustainability. He holds a PhD (2007), MA (2004), and BA in Management Engineering (2002) from Boston College and Istanbul Technical University. Education PhD (Economics), Boston College, 2007 MA (Economics), Boston College, 2004 BSc (Management Engineering), Istanbul Technical University, 2002 Research Interests center on urban transport systems, parking policies, retail leasing, and their environmental impacts. His work bridges economic theory with real-world policy challenges, including sustainable city planning and market design for shared resources. Scientific Awards include: TUBITAK Incentive Award (2018) Outstanding Young Scientist Award (TUBA-GEBIP) (2014) Young Scientist Award (BAGEP) (2014) Best Overall Paper Prize (International Transportation Economics Association) (2016) FASS Teaching Award (2011) Professional Roles include Vice Dean (2017–2024), Executive Committee Member of the International Transportation Economics Association (2016–present), and Research Member at the Smart Mobility and Logistics Lab (2018–present). He has held visiting positions at MIT, University of California, Riverside, and ZEW.

• Optimization under uncertainty
• Machine Learning
• Healthcare Operations
• +6 more

Anh T. Ninh is an Associate Professor in the Department of Mathematics at William & Mary, where he also contributes to the M.S. program in Computational Operations Research within the Department of Computer Science. His academic work bridges mathematics, computer science, and healthcare applications, with a strong focus on optimization and machine learning. Research Interests: His primary research areas include optimization under uncertainty, machine learning, and their applications in healthcare systems, particularly in clinical trial design and pharmaceutical supply chain management. He develops advanced mathematical models to improve decision-making under uncertainty in complex operational environments. Publication Trends: His recent publications reflect a consistent focus on integrating stochastic and robust optimization with real-world healthcare logistics, clinical operations, and pharmaceutical planning. The works demonstrate a strong interdisciplinary approach, combining operations research, data science, and domain-specific knowledge to solve critical problems in health systems. Scientific Awards & Recognition: While no specific awards are listed in the provided text, his research is supported by the Bill & Melinda Gates Foundation, indicating significant recognition and impact in the field. He has also collaborated with major pharmaceutical companies such as Lifecell (now Abbvie), Sandoz, and IntegriChain, highlighting the practical relevance of his work. Advising and Grants: Dr. Ninh advises students through the Computational Operations Research program and leads externally funded research, including an active project on site selection funded by the Bill & Melinda Gates Foundation. His work bridges academia and industry, contributing to both theoretical advances and practical implementations in healthcare operations. Labs and Research Teams: While no formal lab name is mentioned, Dr. Ninh leads a research group focused on computational optimization and machine learning applications in healthcare. His team likely includes graduate students and collaborators from both mathematics and computer science, working on projects related to supply chain resilience, clinical trial efficiency, and data-driven healthcare decision-making.

Aidan O'SullivanView profile

Associate Professor

• Artificial intelligence
• Machine learning
• Reinforcement learning
• +7 more

Aidan O'Sullivan is an Associate Professor in Energy and Artificial Intelligence at University College London's Bartlett School of Environment, Energy & Resources, where he leads the Energy Systems and Artificial Intelligence Lab and the department's Data Analytics research theme. He is also the founding course director of the Energy Systems and Data Analytics MSc, an innovative program combining energy systems and sustainability with data science and machine learning. Current Position: Associate Professor, UCL Energy Institute Education: PhD in Mathematics, Imperial College London Prior Experience: Postdoctoral Researcher at MIT Civil Engineering Department Affiliation: Turing Fellow at the Alan Turing Institute (2018-2020) O'Sullivan's research focuses on applying artificial intelligence to energy system problems, particularly in power systems and heavy industry. He is a pioneer in using data science and machine learning with novel energy sector data sources like renewable generation and smart meter data. His specific AI interests include reinforcement learning, ensemble based methods, latent variable models and deep learning, with additional interest in complex network theory for understanding system interdependencies. His publication history shows a clear evolution from transportation and aviation applications toward direct power system applications, with reinforcement learning emerging as a consistent methodology across his work. The research demonstrates strong interdisciplinary integration of AI techniques with energy system challenges, particularly in grid management, optimization, and emissions reduction. O'Sullivan has received recognition including a Turing Fellowship from the Alan Turing Institute in 2018, the UK's leading center for AI and data science research. Turing Fellowship, Alan Turing Institute (2018-2020) As an educator, O'Sullivan serves as Deputy Director and Founding Course Director of the MSc in Energy Systems and Data Analytics. He teaches BENV0094 Statistics for Energy Analytics, focusing on the mathematical foundations of machine learning methods and their application to energy system datasets. His teaching directly addresses the industry need for professionals with integrated expertise in energy systems and data science. O'Sullivan leads the Energy Systems and Artificial Intelligence Lab at UCL, which focuses on applying advanced AI techniques to solve complex energy system challenges, particularly in grid management, renewable integration, and energy efficiency. His work aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), and 13 (Climate Action), reflecting the applied nature of his research in addressing global energy challenges.

Hadi El-AmineView profile

Associate Professor

• Operations Research
• Healthcare Optimization
• Public Policy
• +6 more

Hadi El-Amine is an Associate Professor at George Mason University's Department of Systems Engineering and Operations Research, focusing on applying operations research to healthcare and public policy challenges. His methodological expertise spans stochastic and robust optimization, probability theory, and resource allocation under uncertainty. PhD in Operations Research from Virginia Tech (2012) MS in Engineering Management and BS in Electrical and Computer Engineering from American University of Beirut, Lebanon His research addresses critical healthcare issues through mathematical modeling, including blood bank safety, pandemic control, organ transplantation logistics, and surgical infection risk assessment. Recent work explores fair clustering algorithms, risk-based quarantine policies, and incentive design for absenteeism reduction. Scientific awards include the 2015 INFORMS Bonder Scholarship and finalist recognitions for the 2015 Pierskalla Award and 2014 Washington DC Student Excellence Competition. Collaborations with the American Red Cross have produced impactful blood screening strategies balancing safety and budget constraints.

Annachiara LongoniView profile

Associate Professor

• Sustainable Operations Management
• Supply Chain Management
• Sustainability Innovation
• +3 more

Annachiara Longoni serves as Associate Professor in the Department of Operations, Innovation and Data Sciences at Esade Business School, Ramon Llull University. She directs the Master of Research in Management Sciences program and leads BUNED (Business Networks Dynamics), focusing on sustainability-driven innovation in operations and supply chains. Education: PhD in Management, Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Bachelor degree in Management Engineering, Politecnico di Milano Her research centers on sustainable operations management, examining how sustainability practices transform product/process innovation within global supply chains. She investigates organizational mechanisms for optimizing triple bottom line performance through sustainable operations strategies, with particular emphasis on social sustainability dimensions including labor conditions and migrant integration in supply networks. Her work bridges theoretical frameworks with practical applications in manufacturing and logistics contexts. Analysis of her 15 most recent publications reveals dominant themes in sustainable supply chain management, social enterprise integration, and systemic change toward post-growth paradigms. Key trends include empirical investigations of working conditions in platform economies, the role of national culture in sustainability performance, and technological impacts on sustainable manufacturing. Her research consistently employs large-scale empirical methods and international collaboration networks. Scientific Awards: None documented in source materials. Dr. Longoni actively mentors through her directorship of the Master of Research program and BUNED research group. She collaborates extensively with the International Manufacturing Strategies Survey (IMSS) across 20+ countries and the USC-led sustainability network involving European and American institutions. Her research is supported through multinational university-industry partnerships focused on sustainable operations. As Director of BUNED, she leads research on business network dynamics and sustainable supply chain transformation. Her involvement in the EurOMA Forum organizing committee and international research networks demonstrates leadership in advancing sustainable operations scholarship through collaborative platforms spanning academic and industry stakeholders.

• Digital transformation
• Business value of IT
• Collaborative Innovation
• +4 more

Elaine Mosconi is a Full Professor at the Université de Sherbrooke since 2024, with prior roles as Associate Professor (2017-2024) and Visiting Professor at institutions like Université Lumière Lyon 2 and École Nationale Supérieure des Mines de Saint-Étienne. She holds a PhD in Administration from Université Laval (2014), an MSc in Industrial Engineering from Universidade de Sao Paulo (2003), and a BSc in Library & Information Science (1999). Université de Sherbrooke | Full Professor (2024-), Associate Professor (2017-2024) Université Laval | Visiting Scholar (2019-2023) International collaborations in France, Brazil, USA, Sweden Her research focuses on Digital Transformation , Industry 4.0 , and Collaborative Innovation , with emphasis on organizational value creation through technology adoption and information literacy. She has secured over $1,649,623 in grants from NSERC, CRSH, MITACS, and provincial agencies, including a $5M grant for SME digital transformation programs. Recent articles explore plastic waste circular economy , enterprise social media maturity , and Industry 5.0 workforce adaptation . Her work bridges business intelligence with sustainable supply chain practices. Scientific Awards : Dean's Research Award (2024) ASAC Best Paper in Technology & Innovation Management (2022) Multiple Academic Coach/Mentor of the Year (2019-2021) Nominated for Inspiration Award (Quality of Service) (2017-2018) As a conference organizer and track chair for IAMOT, HICSS, and AMCIS, she leads initiatives in digital transformation frameworks. Her pedagogical projects include developing a data literacy assessment tool for business leaders and co-creating a knowledge management framework for decision performance.

Iana ShaheenView profile

Assistant Professor

• Supply Chain Management
• Humanitarian Logistics
• Leadership in Disruptions
• +2 more

Iana Shaheen is an Assistant Professor of Supply Chain Management in the Walton College of Business at the University of Arkansas. Her research focuses on leadership, uncertainty, and disruptions in supply chain settings, with particular attention to how disruptions affect commercial supply chains and the significance of leadership and resilience during response and recovery. She also studies inter-organizational relationships within humanitarian supply chains. Dr. Shaheen's educational background includes: PhD in Business Administration from the University of South Florida MS in Marketing from the University of South Florida BS in Management from The Higher School of Economics (Russia) Her research interests center around supply chain disruptions, humanitarian logistics, and leadership in crisis situations. Dr. Shaheen examines how organizations respond to and recover from disruptions, with special focus on the role of leadership and organizational resilience. She investigates the dynamics of inter-organizational relationships in humanitarian contexts, particularly in settings like refugee camps and food banks during crises such as the Rohingya refugee situation and the COVID-19 pandemic. Her work bridges theoretical frameworks with practical applications in both commercial and humanitarian supply chains. Dr. Shaheen's scholarly contributions demonstrate a consistent focus on understanding how supply chains function under stress, with increasing attention to humanitarian contexts in recent years. Her publications span top-tier journals in operations management and supply chain disciplines, showing a progression from theoretical frameworks to applied case studies in real-world humanitarian crises. The research reveals growing interest in social dimensions of supply chain management, including gender dynamics, religious influences, and psychological factors in disaster response. Her notable recognition includes: IJOPM Best Paper Award 2021 for "Leadership styles in supply chain disruptions: a multimethod evaluation based on practitioner insights" Dr. Shaheen is actively engaged in academic service, currently serving as Associate Editor for the Journal of Supply Chain Management and International Journal of Production and Operations Management. She holds leadership positions including VP of Marketing for the Decision Sciences Institute and VP of Awards for the Humanitarian Operations Crisis Management College within the Production and Operations Management Society. Her professional service reflects her commitment to advancing research in supply chain management, particularly in humanitarian contexts. As an educator, Dr. Shaheen focuses on creating a safe and active learning environment that empowers students to develop knowledge through experience and reflection. She aims to equip students with skills that make them comfortable, adaptive, and responsive to the fast-moving business world.

Amaia Lusa GarcíaView profile

Professor

• Supply Chain Management
• Logistics
• Operations Research
• +3 more

Amaia Lusa García serves as a Full Professor in the Department of Business Administration at the Polytechnic University of Catalonia (UPC), teaching quantitative methods, industrial engineering, and logistics courses at the Barcelona School of Industrial Engineering (ETSEIB). Education PhD in Industrial Engineering, Polytechnic University of Catalonia Research Focus Her work spans two critical domains: Supply Chain Optimization: Development of quantitative techniques for production/logistics system design, planning, and scheduling Gender Equality in STEM: Creation of methodologies and tools addressing gender disparities in science and engineering fields She actively contributes to UPC research groups DOPS (Processes and Services Design and Optimization) and SOC-STEM (Social Impact of STEM disciplines). Professional Impact Professor Lusa has participated in numerous research projects and authored publications in international journals. Her SOC-STEM involvement demonstrates commitment to transforming engineering education and professional environments through gender equity frameworks.