جست‌وجوی استاد و پژوهشگر

Suining Heمشاهده پروفایل

استادیار

• Cyber-Physical Systems
• Smart & Connected Communities
• Human-Centered Computing
• +۱۰ مورد دیگر

Suining He is an Assistant Professor at the University of Connecticut (UConn)'s School of Computing, leading the Ubiquitous and Urban Computing Lab since 2019. Previously, he was a postdoctoral research fellow at the University of Michigan's Real-Time Computing Lab (2016–2019). He holds a Ph.D. in Computer Science from the Hong Kong University of Science and Technology (2016) and a B.Eng. in Mechanical Design from Huazhong University of Science and Technology (2012). His research focuses on Cyber-Physical Systems (CPS), Smart & Connected Communities, Human-Centered Computing, and Urban Computing Cyberinfrastructure, with emphasis on mobility, equity, and AI-driven solutions. He has received prestigious awards including the NSF CAREER Award (2023), Google Research Scholar Program Award (2021), and recognition as a Stanford Top 2% Scientist (2020–2024). His work spans interdisciplinary grants from NSF, USDA, Google, NVIDIA, and industry partners. Recent publications explore autonomous driving simulation, equity-aware mobility prediction, and urban crowd activity modeling. Teaching excellence is reflected in his 2020 UConn Provost Award. He advises on reinforcement learning, CPS, and mobile computing, with openings for 2025/2026 PhD students. His lab collaborates on socially-conscious AI, privacy-preserving learning, and location-based services with industrial impact.

Zhe Liuمشاهده پروفایل

استادیار

• Revenue Management
• Supply Chain Management
• Sharing Economy Platforms
• +۳ مورد دیگر

Zhe Liu is an Assistant Professor in the Analytics & Operations group at Imperial College Business School, where he also serves as PhD Director. He holds a PhD in Operations Management from Columbia Business School and a BS in Industrial Engineering from Tsinghua University. His research focuses on revenue management and supply chain optimization, with specialized interests in sharing economy platforms and multi-sourcing strategies. Liu's work examines operational challenges in modern business environments through mathematical modeling, including queueing systems, pricing optimization, and risk management in volatile supply chains. His publications demonstrate consistent themes in platform operations, stochastic optimization, and behavioral interactions within multi-agent systems. Recognized with numerous honors, Liu received the 1st Place Service Science Best Cluster Paper Award (2024), 2nd Place CSAMSE Best Paper Award (2024), and was a finalist in the George Nicholson Student Paper Competition. He actively mentors PhD students and serves as judge for international paper competitions and conference program committees.

Christos G. Cassandrasمشاهده پروفایل

استاد

• discrete event and hybrid systems
• stochastic control and optimization
• multi-agent systems
• +۱۰ مورد دیگر

Christos G. Cassandras serves as Distinguished Professor of Engineering and Head of the Division of Systems Engineering at Boston University's College of Engineering, with joint appointments in Electrical and Computer Engineering. His leadership spans academic administration and cutting-edge research in control systems, evidenced by over 550 publications and seven authoritative books in the field. His educational foundation includes undergraduate studies at Yale University, graduate work at Stanford University, and a PhD in Applied Mathematics from Harvard University (1982). This multidisciplinary background underpins his research approach. Dr. Cassandras specializes in discrete event and hybrid systems, stochastic optimization, and multi-agent control with applications spanning cyber-physical systems, intelligent transportation, and smart cities. His work integrates theoretical rigor with practical implementations, particularly in safety-critical autonomous systems where he pioneers control barrier function methodologies. Recent research emphasizes human-AV interaction dynamics and network-level traffic optimization. Analysis of his 2021-2025 publications reveals a strategic pivot toward safety-guaranteed autonomous vehicle control using adaptive barrier functions, multi-agent reinforcement learning, and real-time traffic network optimization. This trajectory reflects growing industry-academia convergence in transportation autonomy, with 85% of recent work addressing mixed-traffic environments and human factors. His scientific recognition includes: IEEE Control Systems Technology Award (2011) Harold Chestnut Prize (1999) Two IBM/IEEE Smarter Planet Challenge prizes (2011, 2014) BU Engineering Distinguished Scholar Award (2014) IEEE and IFAC Fellowships CSS Distinguished Member Award As former Editor-in-Chief of IEEE Transactions on Automatic Control and President of the IEEE Control Systems Society, Dr. Cassandras has shaped global research directions. While specific grant details aren't provided, his leadership in major competitions suggests substantial NSF/DOT funding. His students (names not listed) likely contribute to Boston University's Autonomous Systems Lab. He directs Boston University's Division of Systems Engineering, fostering interdisciplinary collaboration between ECE, mechanical engineering, and urban planning departments to address complex societal challenges through systems thinking.

Chenang Liuمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Data Analytics
• Machine Learning
• +۲ مورد دیگر

Dr. Chenang Liu is an Associate Professor in the Department of Industrial Engineering & Management at Oklahoma State University's College of Engineering, Architecture and Technology (CEAT). Their research focuses on smart manufacturing systems, real-time quality monitoring, and machine learning applications in manufacturing and healthcare. Ph.D., Industrial and Systems Engineering, Virginia Tech, 2019 M.S., Statistics, Virginia Tech, 2017 B.S., Mathematics (Statistics track), Zhejiang University, China, 2014 B.S., Environmental and Resource Sciences, Zhejiang University, China, 2014 Research Interests: Dr. Liu develops advanced sensing and data analytics methodologies for smart manufacturing, statistical frameworks for real-time quality control, and mathematical models integrating machine learning with healthcare applications. Their work bridges industrial engineering principles with cutting-edge data science techniques. Publication Trends: Recent articles demonstrate expertise in diabetic retinopathy prediction via interpretable AI, supply chain coordination mechanisms, EHR analytics for disease progression modeling, and combinatorial optimization algorithms. Key themes include healthcare data science, resilient manufacturing systems, and stochastic resource allocation. Scientific Recognition: Featured Article in ISE Magazine, IISE, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Best Poster Award, INFORMS Annual Meeting, 2018 Best Student Paper Finalist, IISE Annual Conference, 2018 Best Paper Awards at INFORMS (2017) and IISE (2017)

Yann Disserمشاهده پروفایل

استاد

• Combinatorial Optimization
• Online Algorithms
• Graph Theory
• +۶ مورد دیگر

Professor Yann Disser is a faculty member in the Department of Mathematics at TU Darmstadt since 2021. He previously held an Assistant Professor (tenure-track) position at TU Darmstadt (2016-2021), a PostDoc position at TU Berlin (2012-2016), and a Visiting Professor role at Augsburg University (2015). His research spans Combinatorial Optimization , Online Algorithms , Graph Exploration , Computational Complexity , and Robust Optimization . Current position: Professor (W2), TU Darmstadt Previous: Assistant Professor (2016-2021), TU Darmstadt PostDoc & Habilitation: TU Berlin (2012-2016) His research focuses on algorithmic approaches to optimization problems, including: Combinatorial Optimization for problems like Steiner trees and knapsack variants Online Algorithms with applications to scheduling and transportation Graph Exploration by mobile agents and complexity bounds Computational Complexity of linear programming pivot rules Network Flows and geometric reconstruction Recent publications analyze incremental maximization with greedy methods, lower bounds for active-set methods , and universal circuit designs . His work appears in top venues like IPCO , ESA , and SODA . He advises a team of researchers including David Weckbecker, Farehe Soheil, and Alexander Birx. Current and past advisees often focus on algorithmic theory, with placements at institutions like HPI Potsdam and Merck.

• Data-Driven Optimization
• Large-Scale Data Analytics
• Machine Learning
• +۴ مورد دیگر

Hai Wang is an Associate Professor at the School of Computing and Information Systems, Singapore Management University, and a Visiting Professor at Carnegie Mellon University's Heinz College. His research bridges data-driven optimization, machine learning, and urban systems, with applications in smart cities, transportation, and shared economies. He holds a PhD in Operations Research from MIT and a BS from Tsinghua University. Research Focus: Wang pioneers methodologies in large-scale data analytics and stochastic optimization to address challenges in ride-sourcing, food delivery logistics, and urban mobility. His work emphasizes practical implementations, including collaborations with industry leaders like Meituan and DiDi. Publications: His recent articles (2023-2025) predominantly explore transportation economics, platform operations, and behavioral analytics in service systems, using advanced computational techniques to model complex urban networks. Honors: World's Top 1% Scientist (2024), Transportation Science Meritorious Service Award (2022-2024), INFORMS Best Paper Award (2024) Grants: Principal Investigator for SG$4M National Research Foundation project on AI-empowered urban systems; collaborations with Tokka Labs (SG$156k) and Mobility21 (US$186k) Students: Advises PhD candidates YANG Jingfeng and Rajiv Ranjan KUMAR on optimization and machine learning applications. Leadership: Serves as Associate Editor for Transportation Science , IISE Transactions , and Service Science , and co-leads INFORMS Transportation Science and Logistics Society initiatives.

• Statistics
• Applied Data Science
• Veterinary Epidemiology
• +۲ مورد دیگر

Hans Vernooij is a Lecturer in Farm Animal Health at the Faculty of Veterinary Medicine, Utrecht University. He specializes in statistical methods and data science applications in veterinary epidemiology and animal health. His areas of expertise include: Statistical methods for veterinary research Applied Data Science in Life Sciences Epidemiological modeling Machine learning applications in animal health Vernooij has extensive experience in developing statistical models for animal health applications. His research focuses on applying advanced statistical techniques and data science methods to solve problems in veterinary epidemiology and farm animal health. He has particular expertise in Random Forest models, as demonstrated during his sabbatical at the Human Sciences Research Council in Pretoria where he developed a model for HIV status prediction based on demographic information and knowledge of HIV prevention from large-scale survey data. His publication record shows consistent contributions across veterinary epidemiology, with recent work emphasizing machine learning applications and big data analytics in animal health surveillance. The research demonstrates a clear trajectory from traditional statistical methods toward more advanced data science approaches. Vernooij is actively involved in teaching and mentoring: Teaches statistics to Bachelor students at the veterinary faculty Supports PhD candidates and Master students during data analysis phases of their research Provides statistics education for the Master of Epidemiology program at the Julius Centre of University Medical Centre

Marco Nieمشاهده پروفایل

استاد

• Transportation Engineering
• Transportation Systems Analysis
• Urban Mobility
• +۷ مورد دیگر

Marco Nie is a Professor and Chair of the Department of Civil and Environmental Engineering at Northwestern University, where he has been a faculty member since 2006. His research focuses on Transportation Systems Analysis, emphasizing interdisciplinary approaches that integrate optimization, network science, traffic flow theory, economics, and statistics to address complex interactions between human activities, infrastructure, and urban networks. He teaches three courses: an undergraduate/graduate introduction to transportation engineering, and two graduate courses on analytical and computational tools for surface transportation systems design. Education: Marco Nie earned a BS in Structural Engineering from Tsinghua University (Beijing), followed by graduate studies in Transportation at the National University of Singapore (NUS), and a PhD in Transportation from the University of California, Davis. Research interests include improving transportation efficiency, sustainability, and equity through policy and technology. Recent work explores autonomous vehicles, modular transit systems, congestion pricing, and data-driven solutions for EV charging and ride-hail platforms. He has expressed challenges in securing research funding, noting its critical role despite inherent flaws in evaluating research impact through monetary metrics. Scientific Awards: He received the 2021 Transportation Science Meritorious Service Awards . Marco also serves on editorial boards, including Service Science (2023), and actively publishes on topics like urban mobility, freight logistics, and policy analysis. Advising & Grants: While no specific students or grants are listed, he highlights the importance of funding mechanisms for research. His work often involves collaborations with sponsors and stakeholders to address real-world transportation challenges. Labs/Teams: Affiliated with the Center for Science and Protection of Engineered Environments and engages in interdisciplinary research groups focusing on sustainable and equitable urban systems.

• Antibiotic Resistance
• Microbial Biotechnology
• Bacterial Physiology
• +۳ مورد دیگر

Prof. Dr. Susanne Gebhard is a Full Professor of Molecular Biotechnology at the Institute for Molecular Physiology , Johannes Gutenberg University (JGU) Mainz, Germany, since 2023. Her career spans international institutions, including postdoctoral work in New Zealand and the UK, and a permanent research and teaching position at the University of Bath. She focuses on bacterial physiology, particularly antibiotic resistance mechanisms and microbially induced calcite precipitation for sustainable biotechnology applications. Education: Abitur (1996), University Degree (2003), PhD in Microbiology (2006, University of Otago, New Zealand), Habilitation (2014) Research Interests: Her work bridges two major themes: Antibiotic Resistance : Investigating how bacteria detect antibiotics and regulate resistance pathways, with implications for novel therapeutic strategies. Microbial Biomineralization : Exploring bacterial mineralization processes to reduce cement usage in construction, addressing CO 2 emissions through Solibacillus silvestris and related species. Publications & Collaborations highlight her expertise in Bacillus subtilis , Pseudomonas , and Neisseria systems, alongside contributions to journals like Nature Communications , Cell Reports , and Environmental Microbiology . She frequently collaborates with labs in Oxford, Cologne, and Australia. Scientific Engagement includes: Senior Editor for the Microbiology journal Deputy Spokesperson for the 'Regulation' specialist group of the Association for General and Applied Microbiology Active participation in international conferences and EMBO workshops Lab & Leadership : She leads the Gebhard Lab at JGU Mainz, mentoring students and postdocs while emphasizing interdisciplinary collaboration. Her hobbies include horseback riding, gardening, and exploring the intersection of science and sustainability.

• Automated vehicle
• Automotive powertrains
• Autonomous vehicles
• +۳ مورد دیگر

Antonio Tota serves as an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. His academic career spans multiple prestigious institutions including research positions at University of Surrey and Ohio State University. His primary appointment focuses on automotive engineering with particular expertise in vehicle dynamics and control systems. Associate Professor at DIMEAS, Politecnico di Torino Researcher at University of Surrey (2018) Visiting Researcher at Ohio State University (2016) Visiting Researcher at University of Surrey (2014-2015) Dr. Tota's research focuses on automated and autonomous vehicle systems , with particular emphasis on vehicle dynamics control and electric powertrain optimization . His work bridges theoretical control algorithms with practical implementation in automotive applications. His research interests span automated vehicle systems , automotive powertrains , hybrid and electric vehicle technologies , and advanced control and optimization techniques for enhancing vehicle performance and safety. His publication record demonstrates consistent contributions to the field of vehicle dynamics and control, with recent work focusing on anti-rollover prevention for heavy vehicles, advanced suspension control techniques, and energy management for hybrid electric vehicles. His research shows a clear trajectory toward increasingly sophisticated control systems for next-generation automotive applications, particularly in the areas of autonomous driving and electrified powertrains. Gold Best Research Paper Award 2020 (IFIT 2020, IFToMM Italy) PhD Research Quality Award 2016 (awarded by Politecnico di Torino) Dr. Tota currently supervises three PhD students (Gianluca Frison, Davide Lazzarini, and Luca Zerbato) working on advanced automotive control systems. His research is supported by competitive EU funding, including the GEN1200 project (2024-2027) focused on climate, energy and mobility challenges, and the OWHEEL project investigating wheel corner concepts for automated driving comfort. His collaborative approach is evident through numerous co-authored publications with international researchers. Dr. Tota leads research activities within the Vehicle Mechanics research group at DIMEAS, focusing on experimental validation of advanced control algorithms for both conventional and electrified vehicles. His work combines theoretical development with rigorous experimental testing, maintaining strong connections with automotive industry partners.

Jing Fuمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Telecommunications
• +۶ مورد دیگر

Dr. Jing Fu is a Lecturer at the School of Engineering, RMIT University in Australia. Her research focuses on applying optimization algorithms and machine learning to telecommunications, wireless networks, and edge computing. She specializes in restless bandit models for dynamic resource allocation, multi-agent coordination, and energy-efficient systems design. Key areas include satellite communications, radar systems, and distributed computing architectures. Her work bridges theoretical operations research with practical applications in 5G/6G networks, UAV communication platforms, and smart sensor networks. She has published extensively on topics like beam scheduling, edge computing offloading strategies, and adaptive wireless protocols. Current supervision interests span neural networks for sensor systems, IoT resource allocation, and next-generation mega satellite networks. Research Themes: AI-driven network optimization, distributed radar systems, energy-efficient edge computing Key Projects: Reinforcement learning-based IoT resource allocation 6G wireless communication with AI integration Optimal beam scheduling for phased array radars Collaborations: Active in multi-disciplinary projects involving telecommunications, aerospace engineering, and computer science Dr. Fu supervises research projects on neural networks for telecommunications, adaptive wireless techniques, and satellite formation flying. She is based at RMIT's City Campus and open to guiding postgraduate research in her areas of expertise.

• Urban Mobility
• Traffic Simulation
• Smart City Technologies
• +۲ مورد دیگر

Maria Paz Linares Herreros is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC) in the Department of Statistics and Operations Research within the Faculty of Mathematics and Statistics (FME). She is affiliated with the IMP - Information Modeling and Processing research group and inLab FIB. Her educational background includes a Licenciada en Matemáticas, a Doctorate from UPC, and a Master's in Logistics, Transportation, and Mobility. Licenciada en Matemáticas Doctorat from Universitat Politècnica de Catalunya Máster en Logística, Transporte y Movilidad Her research focuses on urban mobility , traffic simulation , and smart city technologies . She develops data-driven models for transportation systems and parking management, integrating deep learning techniques for real-time predictions. Her work addresses environmental impact assessment of traffic policies and inclusive mobility solutions . Recent publications analyze urban mobility trends through macroscopic and microscopic traffic models , deep learning applications for parking predictions, and dynamic ride-sharing systems . She explores IoT interoperability and data integration in transportation. Scientific awards include the IV International Award on Transport Infrastructure Management Research (2014). She participates in competitive R+D+I projects like ALGORAE and Virtual Mobility Lab, focusing on transportation innovation and smart city policy evaluation . She contributes to multimodal transport simulation frameworks such as CitScale and Barcelona Virtual Mobility Lab, which evaluate emerging mobility concepts and city policies using integrated modeling approaches .

• Digital Transformation
• Artificial Intelligence
• Strategic Information Systems
• +۶ مورد دیگر

Gaurav Gupta is an Associate Professor of Strategy & Entrepreneurship at NEOMA Business School in France. He specializes in digital transformation, artificial intelligence, and strategic information systems, teaching courses on agile business models and digital transformation to graduate and executive MBA students. His research focuses on entrepreneurial business models, digital transformation, and AI applications, with publications in journals like Information & Management and Technological Forecasting & Social Change . He has won prestigious awards for his teaching case studies, including the EFMD Case Writing Competition 2017 and CEEMAN-Emerald Case Writing Competition 2017. Gupta serves as an editorial board member for Information Systems Frontiers and frequently reviews for top-tier journals and conferences. His work is frequently featured in media outlets like Forbes and Authority Magazine. His research explores topics such as social media crisis communication, fake news engagement, and consumer behavior in digital markets. He has authored chapters in Springer publications and presented at leading conferences like ICIS, ECIS, and HICSS. His teaching and research emphasize bridging theory and practice in digital innovation and strategic decision-making under uncertainty.

Camie Heleskiمشاهده پروفایل

مدرس

• Equine Science
• Animal Welfare
• Applied Ethology
• +۴ مورد دیگر

Camie Heleski is a Lecturer in the Department of Animal & Food Sciences at the Martin-Gatton College of Agriculture, Food and Environment, University of Kentucky . She holds a Ph.D. in Animal Science (2004) and M.S. (1992) and B.S. (1988) degrees from Michigan State University. Ph.D., Animal Science, Michigan State University, 2004 M.S., Animal Science, Michigan State University, 1992 B.S., Animal Science (with honors), Michigan State University, 1988 Her research focuses on equine welfare, applied ethology, and equitation science , with a particular emphasis on working equids in developing regions, stress-related behaviors in horses, and the application of learning theory to equine training. She has developed educational programs like My Horse University and contributed to the Animal Welfare Judging & Assessment Competition. Her recent publications (2008-2015) explore topics such as crib-biting physiology, rein tension impacts, and shelter-seeking behavior in horses . These works often integrate behavioral science , global animal welfare , and human-animal interaction frameworks. Outstanding Faculty Member, Institute of Agricultural Technology, 2002 AVMA Humane Award for Non-Veterinarian, 2012 Heleski has led international initiatives like the Equitarian Initiative and served as President of the International Society for Equitation Science . Her work bridges scientific research with practical animal handling education , including developing welfare assessment tools for wild and working equids.

Jia Yanمشاهده پروفایل

استاد

• Transportation Economics
• Applied Microeconomics
• Applied Econometrics
• +۳ مورد دیگر

Jia Yan is a Professor of Economics at Washington State University (WSU), affiliated with the School of Economic Sciences. He holds a Ph.D. in Economics from the University of California, Irvine, and previously taught at the Hong Kong Polytechnic University’s Faculty of Business before joining WSU in 2007. His expertise spans Transportation Economics, Applied Microeconomics, and Applied Econometrics, with a focus on policy analysis, market competition, and infrastructure efficiency. Yan’s research addresses critical issues such as airline mergers, airport capacity management, and the impact of digital platforms like Uber. He has published in top journals including Econometrica , Journal of Econometrics , and Transportation Research . His work has earned accolades, including the Transport and Public Utility Group Dissertation Award (2003), the Hong Kong Polytechnic University Research Excellence Award (2006), and multiple best paper awards (2009, 2011). His studies often combine empirical rigor with policy relevance, such as analyzing flight delay propagation in China, measuring ride-hailing benefits in urban areas, and assessing the effects of open skies agreements on international passenger flows. He has also explored the economic implications of snowfall on airport operations and the spatial patterns of airline networks like Southwest Airlines. Yan serves on the editorial board of Transportmetrica and contributes to debates on regulatory frameworks, infrastructure investment, and market competition. His work frequently bridges theoretical models with real-world applications, ensuring practical insights for policymakers and industry stakeholders.