جست‌وجوی استاد و پژوهشگر

Felix Schmidمشاهده پروفایل

استاد

• Railway Engineering
• Transportation Systems
• Civil Engineering
• +۳ مورد دیگر

Professor Felix Schmid holds the position of Honorary Professor in the School of Civil Engineering at the University of Birmingham. He specializes in railway systems engineering, focusing on train control, signaling, economics, and strategic management. He directs the MSc in Railway Systems Engineering and Integration and has developed short programs for organizations like Bechtel and London Underground. His professional affiliations include memberships in the Institution of Mechanical Engineers and the Institution of Railway Signalling Engineers, with roles such as Councillor in the Union of European Railway Engineers’ Associations. Education and Qualifications: Dip.El.Ing.ETH (Swiss Federal Institute of Technology Zurich) PhD in Civil Engineering Chartered Engineer (CEng) European Railway Engineer (EurailIng) Research interests revolve around railway safety, operational efficiency, and systems integration. His work addresses challenges in mega railway projects, urban rail innovation, and infrastructure resilience. He has contributed to over a dozen peer-reviewed articles on topics such as reliability management, accident analysis, and safety-performance relationships. Prof. Schmid’s academic contributions extend to external examining roles at institutions like the University of East London and Kingston University. He delivers lectures on railway capacity management and straw-bale construction. His professional service includes committee roles at Brunel University and the Union of European Railway Engineers’ Associations. Notable awards include Fellowships from the Institution of Mechanical Engineers and the Institution of Railway Signalling Engineers. His external engagements emphasize promoting railway transport and advancing training facilities in the West Midlands.

• Statistics
• High-Dimensional Data Analysis
• Statistical Genetics
• +۷ مورد دیگر

Aaron J Molstad is an Assistant Professor in the Department of Statistics at the University of Minnesota – Twin Cities, within the College of Science and Engineering. His research lies at the intersection of statistical methodology and genomic data science, with a focus on developing rigorous and scalable methods for modern high-dimensional datasets. His research interests include high-dimensional statistics, covariance and precision matrix estimation, regression modeling with structured responses, variable selection, and integrative analysis of omics data. He develops methods tailored for compositional data, multivariate responses, and ancestry-specific genetic association studies, contributing to both theoretical statistics and public health applications. The recent publications and funded projects highlight a strong trend in developing objective, reliable, and heterogeneous-aware statistical frameworks for genomics and biomedicine. His work emphasizes methodological innovation with direct applicability to complex biological data, particularly in diverse populations and multi-omics integration. Awarded grants from the National Science Foundation and the National Institutes of Health demonstrate recognition of his research’s significance and impact. These include projects on inference from omics data, new regression models for categorical responses, and integrative genomics in African American populations. Objective and reliable methods for inference from modern omics data (NSF, 2024–2027) Collaborative Research: New Regression Models for Multiple Categorical Responses (NSF, 2024–2025) Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans (NIH/Fred Hutchinson, 2023–2024) Dr. Molstad advises and collaborates on major genomic studies involving protein expression, blood pressure, stroke, and ancestry-specific effects. While specific PhD students are not listed, his role as Principal Investigator on multiple grants indicates mentorship of graduate researchers and postdoctoral scholars. He is also active in the broader statistical community, with publications in top-tier journals such as Biometrika , Biometrics , and Genome Biology .

Jennifer J. Blackhurstمشاهده پروفایل

استاد مدعو

• Supply Chain Risk Management
• Supply Chain Disruption Management
• Supplier Assessment and Selection
• +۶ مورد دیگر

Jennifer J. Blackhurst is an Adjunct Professor in the Department of Business Analytics at the Tippie College of Business, University of Iowa. She has held several key academic and administrative roles, including Professor in Business Analytics (2021–2025), Associate Dean for Graduate Professional Programs (2020–2025), and the Leonard A. Hadley Chair/Professor in Business Analytics (2019–2024). Her career reflects deep engagement in supply chain research, academic leadership, and editorial contributions to top journals. Her research focuses on supply chain risk and disruption management, supplier assessment and selection, supply chain coordination, and innovation. She explores how organizations can build resilience through strategic adaptation, network design, and behavioral competencies. Her work integrates complex systems theory, empirical analysis, and data-driven modeling to address real-world supply chain challenges. The recent publications highlight a strong trend in understanding supply chain resilience through network science, agent-based modeling, and systemic risk frameworks. Her research spans both technical and human dimensions, examining not only structural vulnerabilities but also organizational behaviors and knowledge-based competencies that influence risk mitigation. Key themes include disruption propagation, robustness measurement, and the dual role of innovation in both enhancing performance and potentially increasing vulnerability. Scientific Awards and Honors: Best Paper Award - Transportation Journal and APICS, 2018 Outstanding Associate Editor - Decision Sciences Journal, 2017 MBA Business Analytics Professor of the Year - Tippie College of Business, 2017 Outstanding Associate Editor - Decision Sciences Journal, 2013 Emerging Leaders Academy - Iowa State University, 2013 - 2014 Citations of Excellence Award - Emerald Management Reviews, 2011 Jennifer Blackhurst has played a significant role in academic service through editorial and review activities, serving as Senior Editor for the Journal of Business Logistics and on the editorial boards of several leading journals including IEEE Transactions on Engineering Management , Decision Sciences Journal , and Journal of Operations Management . While no formal advising or grant information is listed, her leadership roles and extensive publication record suggest active mentorship and research supervision. She is a member of the Council for Supply Chain Management Professionals and the Decision Sciences Institute, further demonstrating her national engagement in the field.

• Algorithms and Complexity
• Parameterized Algorithms
• Approximation Algorithms
• +۷ مورد دیگر

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 Jagodaمشاهده پروفایل

استاد

• Supply Chain Management
• Project Teams
• Cross-organizational Management
• +۵ مورد دیگر

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 Macgillمشاهده پروفایل

دانشیار

• Renewable Energy Integration
• Electricity Market Design
• Distributed Energy Systems
• +۴ مورد دیگر

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 Knipferمشاهده پروفایل

پژوهشگر ارشد

• Leadership Development
• Organizational Learning
• Team Dynamics
• +۵ مورد دیگر

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
• +۳ مورد دیگر

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 Schmidtمشاهده پروفایل

مدرس ارشد

• Supply Chain Management
• Digital Technologies
• Blockchain
• +۳ مورد دیگر

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 Groutمشاهده پروفایل

استاد

• Quality Management
• Mistake-Proofing
• Lean Manufacturing
• +۵ مورد دیگر

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 İnciمشاهده پروفایل

استاد

• Urban Economics
• Transportation Economics
• Economics of Parking
• +۳ مورد دیگر

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
• +۶ مورد دیگر

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'Sullivanمشاهده پروفایل

دانشیار

• Artificial intelligence
• Machine learning
• Reinforcement learning
• +۷ مورد دیگر

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-Amineمشاهده پروفایل

دانشیار

• Operations Research
• Healthcare Optimization
• Public Policy
• +۶ مورد دیگر

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 Longoniمشاهده پروفایل

دانشیار

• Sustainable Operations Management
• Supply Chain Management
• Sustainability Innovation
• +۳ مورد دیگر

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.