جست‌وجوی استاد و پژوهشگر

Charles Fineمشاهده پروفایل

استاد

• Supply Chain Strategy
• Operations Management
• Value Chain Roadmapping
• +۴ مورد دیگر

Charles Fine is the Chrysler Leaders for Global Operations Professor of Management at MIT Sloan School of Management and concurrently serves as CEO, President, and Dean of the Asia School of Business (ASB) in Kuala Lumpur since 2015. He holds an AB in Mathematics and Management Science from Duke University, MS in Operations Research, and PhD in Business Administration from Stanford University. His research focuses on supply chain strategy, value chain roadmapping, and operations management in fast-clockspeed industries such as automotive and aerospace. He has pioneered frameworks for strategic innovation, entrepreneurial operations, and urban mobility systems. Key contributions include the concept of 'clockspeed' in industry dynamics and co-authoring Clockspeed (1998) and Faster, Smarter, Greener (2017). Fine co-directs MIT Sloan’s Driving Strategic Innovation executive program with IMD, Switzerland. He previously served on the board of Greenfuel Technologies, a biotech startup he co-founded. His work has been published in top journals like Management Science , Production and Operations Management , and Interfaces . Recent research highlights include analyzing unintended consequences of automated vehicles and exploring supply chain strategies for market expansion through O2S (Online-to-Store) models. He advises global corporations on supply chain resilience, value chain design, and innovation scaling.

Filip Slaveskiمشاهده پروفایل

مدرس ارشد

• Soviet History
• Russian/Soviet and East European History
• Mass Conflict
• +۷ مورد دیگر

Dr Filip Slaveski is a Senior Lecturer in Russian/Soviet and East European History at the School of History, The Australian National University. He specializes in Soviet Empire studies, focusing on mass conflict, food crises, political control, and their contemporary echoes. His work examines Ukraine, Russia, and post-WWII dynamics, particularly Soviet governance and post-war reconstruction. Slaveski holds a PhD in History and has published extensively on Soviet famines, post-war Ukraine, and Soviet-German occupation policies. His notable works include Remaking Ukraine after WWII (2021) and The Soviet Occupation of Germany (2013). He has received funding through ARC DECRA grants and contributed to major projects on Soviet famines and post-war recovery. Research Interests: Soviet Union, Ukraine, Conflict Studies, Famine, Repression, Nationalism. Grants: ANU Futures Scheme (2023–2026) and The Last Soviet Famine Project (2021–2025).

• Quantitative Finance
• Risk Management
• Operational Research
• +۶ مورد دیگر

Sandra Paterlini is a Full Professor in the Department of Economics and Management at the University of Trento, Italy. She holds academic roles including Co-Chair of the ERCIM Working Group on Optimization Heuristics and Vice-Chair of the IEEE Task Force on Portfolio Optimization. Her career includes visiting positions at institutions such as the University of Minnesota and Ludwig-Maximilians-Universität München. She earned a PhD in Computational Methods for Financial and Economic Decisions from the University of Bergamo, an MSc in Financial Mathematics from the University of Warwick, and a Laurea in Economics from the University of Modena and Reggio E. Her research focuses on quantitative finance, risk management, portfolio optimization, and network analysis, with applications to ESG, systemic risk, and financial stability. Key research contributions include methodologies for sparse graphical modeling, systemic risk analysis, and ESG scoring frameworks. She has received multiple awards for research excellence and serves on editorial boards of journals like Computational Statistics & Data Analysis and Frontiers in Applied Mathematics and Statistics . Her work bridges academia and policy, with contributions to the European Central Bank’s Financial Stability Directorate and involvement in global conferences on computational finance and econometrics.

Joyoung Leeمشاهده پروفایل

دانشیار

• Connected Vehicle (CV) Systems
• Traffic Management
• Autonomous Vehicle Control
• +۵ مورد دیگر

Dr. Joyoung Lee is an Associate Professor in the Department of Civil and Environmental Engineering at New Jersey Institute of Technology (NJIT). He previously served as Laboratory Manager at the Federal Highway Administration's Saxton Transportation Operations Laboratory. His research focuses on Connected Vehicle (CV) systems, including applications in traffic management, signal control optimization, and autonomous vehicle infrastructure integration. Dr. Lee holds a Ph.D. (2010) and M.S. (2007) in Transportation Engineering from the University of Virginia, and a B.S. (2000) in Transportation Engineering from Hanyang University. His work emphasizes CV-based solutions for real-time traffic systems, cooperative vehicle-infrastructure systems (CVIS), and autonomous vehicle integration. Notable achievements include the 2019 IEEE CAVS Best Paper Award and multiple best paper recognitions from PTV User Group Meetings. His research also addresses traffic safety through innovations like the Virtual Guide Dog system for visually impaired pedestrians and advanced traffic monitoring frameworks using LiDAR and computer vision. Education: Ph.D., Transportation Engineering, University of Virginia (2010) M.S., Transportation Engineering, University of Virginia (2007) B.S., Transportation Engineering, Hanyang University (2000) Dr. Lee's research interests span smart city infrastructure, edge computing for traffic systems, and sustainable transportation solutions. He has pioneered algorithms for cooperative intersection management, automated platooning systems, and federated learning-based traffic optimization. His work bridges theoretical models with real-world implementation through partnerships with FHWA and industry stakeholders. Key contributions include development of the Cumulative Travel-Time Responsive (CTR) traffic signal control system, smart arrival notification systems for paratransit services, and advanced microsimulation calibration techniques. His lab focuses on translating CV data into actionable strategies for safer, more efficient transportation networks. Awards: IEEE CAVS Best Paper Award (2019) ASCE Grand Challenge Innovation Contest Honorable Mention (2017) PTV VISSIM Best Paper Awards (2012, 2008) Excellence in Research Award (University of Virginia, 2011) Ongoing projects include semi-decentralized graph neural networks for traffic forecasting and low-cost LiDAR-based traffic monitoring systems. His work addresses critical challenges in autonomous vehicle integration, incident management, and infrastructure resilience through interdisciplinary collaborations.

Alfons Oude Lansinkمشاهده پروفایل

استاد

• Dynamic Technical and Economic Efficiency
• Productivity Analysis
• Sustainable Food Supply Chains
• +۷ مورد دیگر

Alfons Oude Lansink is a Professor and Chairholder in Business Economics at Wageningen University, Netherlands. He holds adjunct professorships at Universitas Padjadjaran (Indonesia) and the University of Florida (USA), and serves on the Dutch Ministry of Agriculture's CDM committee and Rabobank's scientific advisory board. His academic career spans roles as director of Wageningen School of Social Sciences (WASS) and Secretary-General of the European Association of Agricultural Economists. Education: MSc and PhD in Agricultural Economics from Wageningen University Leadership: Head of Business Economics group since 2003 His research focuses on dynamic technical and economic efficiency , sustainable performance of food supply chains , and economics of plant health . Recent work examines climate adaptation strategies, circular economy applications, and cross-border agri-food innovation dynamics using advanced econometric models. Key projects include MINDSTEP (modeling farm decisions), Closing the Loop (insect-based agriculture), and Food Pro-tec-ts (transboundary food technologies). Publications address topics like: Technical efficiency in dairy and arable farming Economic impacts of climate change on agriculture Corporate social responsibility in food manufacturing Policy evaluation for biogas and organic farming He serves as: Secretary/Treasurer of agricultural economics journal foundation Advisor to Universitas Padjadjaran (Indonesia) on policy and PhD supervision Editorial board member of Agronomy Journal and European Review of Agricultural Economics

Carolina Osorioمشاهده پروفایل

استاد

• Transportation Science
• Operations Research
• Artificial Intelligence
• +۴ مورد دیگر

Carolina Osorio is a Professor at HEC Montréal, holding the Scale AI Research Chair in Artificial Intelligence for Urban Mobility and Logistics. She is affiliated with the Department of Decision Sciences and is a member of the Group for Research in Decision Analysis (GERAD) and the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). Her research focuses on transportation optimization, urban mobility, and data-driven simulation-based methods. She has been recognized among the world’s most influential researchers in 2023 and 2024. Education: Ph.D. in Mathematics, École Polytechnique Fédérale de Lausanne (EPFL) M.Sc. in Statistics, University College London (UCL) Bachelor’s in Engineering, École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble (ENSIMAG) Research Interests: Her work emphasizes scalable transportation modeling, simulation-based optimization, and AI applications for urban logistics. She develops methods for large-scale network analysis, traffic demand estimation, and sustainable urban mobility solutions. Key areas include traffic signal optimization, car-sharing service design, and high-dimensional stochastic systems. Publications: Recent articles highlight advancements in scalable traffic demand estimation, Bayesian optimization for transportation systems, and simulation-based toll optimization. Her work addresses challenges in global highway networks, urban congestion dynamics, and multi-city calibration. Awards: Scale AI Research Chair (Artificial Intelligence for Urban Mobility and Logistics) Recognition as a world-leading researcher in transportation science Advising & Grants: Osorio collaborates on projects funded by Scale AI and leads research initiatives through GERAD and CIRRELT. Her supervision activities include teaching courses such as Decision Analysis and Sample Efficient Optimization at HEC Montréal. Labs & Teams: She contributes to interdisciplinary teams at GERAD and CIRRELT, focusing on integrating advanced analytics into urban transportation systems.

• Quality Management
• Lean Six Sigma
• Operational Excellence
• +۳ مورد دیگر

Jiju Antony is a Professor at Northumbria University , specializing in quality management, Lean Six Sigma, and operational excellence. His research bridges industrial engineering, sustainability, and service sector optimization through rigorous academic inquiry and cross-industry collaboration. University: Northumbria University Email: jiju.antony@northumbria.ac.uk His research interests include: Quality Management Systems Lean Six Sigma Implementation Continuous Improvement Methodologies Sustainable Operations Industry 4.0 Integration Digital Transformation in Business Processes Recent publications focus on leveraging Lean Six Sigma for UNSDG compliance , Quality 4.0 in digital industries, and ESG performance enhancement through Kaizen practices. His work spans manufacturing, logistics, and healthcare sectors, emphasizing pandemic operational resilience.

• Bioinformatics
• Computer Architecture
• Genome Analysis
• +۳ مورد دیگر

Can Firtina is a Lecturer at ETH Zurich's Department of Information Technology and Electrical Engineering and a Senior Researcher in the SAFARI Research Group. His research focuses on accelerating genome analysis through algorithm-architecture co-design, particularly leveraging hardware-software integration for bioinformatics workloads. He holds a PhD in Electrical and Computer Engineering from ETH Zurich and degrees from Bilkent University. As of Fall 2025, he will join the University of Maryland, College Park (UMD) as an Assistant Professor of Computer Science. Education: PhD in Electrical and Computer Engineering (D-ITET), ETH Zurich MSc in Computer Engineering, Bilkent University BSc in Computer Engineering, Bilkent University Research Interests: His work bridges bioinformatics and computer architecture, emphasizing real-time, accurate, and energy-efficient genome analysis. Key areas include raw nanopore signal processing (e.g., RawHash, Rawsamble), hardware-software co-design for bioinformatics, and scalable metagenomic analysis. His algorithms address noise mitigation and accelerate applications like assembly polishing (Apollo) and alignment remapping (AirLift). Labs & Collaborations: He leads research within the SAFARI Group, collaborating with institutions like NVIDIA, AMD, and Huawei. His contributions span tools like GenASM (approximate string matching) and BLEND (fuzzy seed matching). He also organizes workshops on bioinformatics acceleration and serves on review boards for venues like ISMB and RECOMB. Future Directions: Future work includes end-to-end raw signal analysis without basecalling, reference-free genome assembly, and leveraging emerging hardware for real-time field applications. He will expand these efforts at UMD, hiring students in Fall 2025.

Todd Collinsمشاهده پروفایل

استاد

• Political Science
• Legal Studies
• Judicial Behavior
• +۵ مورد دیگر

Todd Collins is a Professor of Political Science and Public Affairs at the University of Western Carolina’s College of Arts and Sciences. He holds a Ph.D. in Political Science from the University of Georgia, a JD from the University of North Carolina at Chapel Hill, and a BA from the same institution. His research focuses on judicial decision-making, legal system biases, and the intersection of religion, politics, and policy. Key research interests include racial and gender disparities in legal contexts, media’s role in shaping public perception of courts, and religious influences on legislative behavior. Collins has extensively studied Supreme Court dynamics, appellate processes, and the interplay between public opinion and judicial rulings. His work bridges empirical legal studies with sociological and political frameworks, addressing issues such as courtroom fairness, attorney collaboration barriers, and the impact of religious affiliations on policymaking. Notable projects include analyses of case salience metrics and the role of precedent in judicial reasoning.

• Supply Chain Management
• Operations Management
• Business Analytics
• +۷ مورد دیگر

Rameshwar Dubey is a Full Professor of Operations Management at Montpellier Business School (France), Visiting Professor at Liverpool John Moores University (UK), and Adjunct Professor at Indian Institute of Management Jammu (India). He holds editorial roles across multiple journals, including Senior Associate Editor of the International Journal of Logistics Management and Associate Editorships at Journal of Humanitarian Logistics & Supply Chain Management, International Journal of Information Management, and others. His research focuses on supply chain resilience, humanitarian operations, sustainable practices, and digital transformation in crisis scenarios. He has been recognized as a top 1% cited scholar in Web of Science and among the top 200 in SCOPUS for Business Management and Operations Research. Dr. Dubey’s academic contributions include over 75 journal reviews, supervision of seven PhD and five DBA students, and examination of 37 theses globally. His work emphasizes applications in healthcare logistics, disaster relief, and emerging technologies like AI and IoT in supply chains. He has taught at institutions including the University of Leeds, UNESP Brazil, and Southern University of Science and Technology China. Awards: Outstanding Reviewer Awards (IJPE, JBR, JCP), Best Reviewer Awards (JHLSCM 2014/2016, MD 2018), and a 2019 Lifetime Achievement Title for contributions to supply chain science. Teaching: Logistics, Operations Management, Analytics, Research Methodology, and Data Science. Labs/Teams: Editorial leadership in over seven international journals, active participation in global SCOR and B2B risk frameworks.

Abraham Silberschatzمشاهده پروفایل

استاد

• Database Systems
• Operating Systems
• Storage Systems
• +۳ مورد دیگر

Abraham Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He previously served as Vice President of the Information Sciences Research Center at Bell Laboratories and held a chaired professorship at the University of Texas at Austin. His research focuses on database systems, operating systems, and network management. Silberschatz has advised over a dozen PhD students, many now in academia and industry. Education: Ph.D., Computer Science, Stony Brook University (SUNY) Research Interests: His work spans database systems, operating systems, storage systems, and network management. Notable contributions include foundational textbooks like Operating System Concepts and Database System Concepts , which have become industry standards. He has also developed innovative systems like DataPlay and contributed to projects such as NetInventory. Publications: His 15+ years of research include influential papers on database architecture, network routing, and distributed systems. Recent work explores leveraging non-volatile memory technologies in systems design. Awards: ACM Karl V. Karlstrom Outstanding Educator Award (1998) IEEE Taylor L. Booth Education Award (2002) VLDB Test of Time Award (2019) Multiple Bell Laboratories President's Awards for innovation Grants & Patents: Recipient of over two dozen grants and over four dozen patents, including foundational IP in multimedia storage and distributed systems. His team's HadoopDB project merged MapReduce and DBMS technologies. Labs/Teams: Collaborates with Prof. Robert Soulé on projects in database systems and networking, focusing on next-gen memory technologies. Active in mentoring graduate students and postdocs in their research group.

• Quantum Technologies
• Quantum Optics
• Semiconductor Epitaxy (MBE/MOVPE)
• +۴ مورد دیگر

Dr. Emanuele Pelucchi is a Research Professor and Head of the Epitaxy and Physics of Nanostructures (EPN) group at Tyndall National Institute, University College Cork. His research focuses on quantum technologies, epitaxial growth (MBE/MOVPE), quantum dot physics, and photonic integration. He leads a world-class MOVPE facility, pioneering developments in site-controlled quantum dots and entangled photon emitters. Pelucchi's work has resulted in over 129 international publications with an h-index of 28 (Scholar), including contributions to Nature Photonics and NanoLetters. He has held a Science Foundation Ireland Principal Investigator grant since 2006, establishing his group at Tyndall in 2007. His expertise spans semiconductor nanostructures, including III-V materials and quantum optics. Pelucchi actively reviews for top journals and chairs international conferences, contributing to the field's academic discourse. His MOVPE laboratory is recognized as a key resource for III-V materials, serving as a secondary supplier to the UK National Centre for III-V Materials. Pelucchi's research bridges fundamental physics and applied photonics, driving advancements in quantum information processing and optoelectronic devices.

Olli Varisمشاهده پروفایل

استاد

• Water Resources Management
• Sustainable Development
• Climate Change Adaptation
• +۵ مورد دیگر

Olli Varis is an Aalto Distinguished Professor at Aalto University's Department of Built Environment, specializing in Water and Environmental Engineering. He holds adjunct professorships at Asian Institute of Technology (Thailand) and has served as Vice Dean for Research & Innovation at Aalto School of Engineering (2013–2018). His expertise spans water resources management in developing economies, climate change impacts, and transboundary water governance. Education: Doctoral degree in Engineering (Helsinki University of Technology, 1991), Licentiate (1988), and dual Master's degrees in Agriculture (University of Helsinki, 1986) and Engineering (Helsinki University of Technology, 1984). Research focuses on sustainable development goals (SDGs), particularly water-energy-food nexus dynamics, urbanization impacts, and global river basin vulnerabilities. Key interests include flood early warning systems, migration-environment linkages, and Asian transboundary water challenges. Notable awards include Aalto Excellence Awards (2018, 2021), Best Research Paper 2023, and Environmental Research Letters' Best Paper 2010. Over 350 publications include works on China's water risks, Nepal's flood resilience, and global migration drivers. Active in UNESCO, WMO, and UNU/WIDER. Recent projects address urbanization's environmental pressures, interdisciplinary education challenges, and东南亚数字经济的崛起与挑战 (Vietnam's digital economy challenges). Leads the Water and Environmental Engineering research group, supervising 12 theses. Involved in public outreach,如芬兰赫尔辛基大学的媒体参与案例.

Vladimir Bulovićمشاهده پروفایل

استاد

• Nanotechnology
• Renewable Energy
• Photonics
• +۴ مورد دیگر

Vladimir Bulović is a Professor of Electrical Engineering and Computer Science at MIT, holding the Fariborz Maseeh Chair in Emerging Technology. He serves as Founding Director of MIT.nano, a 20,000 m² nanofabrication and prototyping facility. His research focuses on nanoscale materials, renewable energy, and optoelectronics, with emphasis on scalable solar technologies and printed electronics. Education: B.S.E. and Ph.D. in Electrical Engineering from Princeton University. Research Interests: Development of thin-film photovoltaics (perovskites, organic PVs), energy-efficient optoelectronics, and advanced manufacturing techniques. His work bridges nanotechnology with real-world applications, such as transparent solar cells and flexible electronics. Key innovations include vapor transport deposition (VTD) for perovskite solar cells and scalable printed electronics. Publications: Over 250 articles (45,000+ citations) focus on perovskite materials, semiconductor fabrication, and optoelectronic device optimization. Recent trends emphasize machine learning-driven materials design and stability enhancement strategies for photovoltaics. Awards: MacVicar Fellowship (2018), Top 1% Highly Cited Researcher (2018) Advising & Grants: Co-founded Ubiquitous Energy, Kateeva, and QD Vision. Led projects on grid-edge solar solutions and MIT-Eni Solar Frontiers Center. Served as Associate Dean for Innovation and Director of MIT’s Innovation Initiative (2013–2018). Labs/Teams: Directs the Organic and Nanostructured Electronics Lab and oversees MIT.nano’s interdisciplinary research programs.

Mark Thouinمشاهده پروفایل

استاد بالینی

• Information Systems Education
• Experiential Learning
• Postsecondary Leadership
• +۳ مورد دیگر

Mark Thouin is a Clinical Professor of Information Systems and Associate Dean for Graduate Programs - Academic Operations at The University of Texas at Dallas (UT Dallas), Jindal School of Management. He holds an MBA from George Mason University and a PhD from Texas Tech University. His research focuses on IT business value, experiential learning, and postsecondary leadership, with notable contributions to information systems curriculum development and agile methodologies. He teaches courses like Business Analytics with SAS and Agile Project Management. His awards include the Outstanding Undergraduate Teaching Award from UT Dallas Jindal School of Management and AITP Region 3 Star Performer of the Year. His recent articles emphasize competency models in information systems education, experiential learning simulations for agile methodologies, and curriculum standards through collaborations like ACM/AIS IS2020 initiatives. Education: PhD, Texas Tech University, 2007 MBA, George Mason University, 2004 BS, Virginia Tech, 1992 Professional Organizations: Association for Information Systems (AIS) Society for Information Management Association for Computing Machinery His work bridges academic curriculum design with industry needs, particularly through competency-based frameworks and experiential learning approaches. He has contributed to global standards for information systems graduate programs (MSIS 2016) and undergraduate curriculum guidelines (IS2020).