جست‌وجوی استاد و پژوهشگر

Tarek Sayedمشاهده پروفایل

استاد

• Transportation Engineering
• Traffic Safety Analysis
• Intelligent Transportation Systems (ITS)
• +۴ مورد دیگر

Dr. Tarek Sayed is a Professor at the University of British Columbia's Department of Civil Engineering within the Faculty of Applied Science. He specializes in Transportation Engineering, focusing on road safety analysis, traffic operations, and Intelligent Transportation Systems (ITS). He serves as the Director of the Bureau of Intelligent Transportation Systems and Freight Security (BITSAFS-Engineering) and Editor of the Canadian Journal of Civil Engineering . His research addresses three core areas: improving road safety evaluation techniques, enhancing safety through traffic operations and highway design analysis, and advancing ITS technologies. Notable contributions include frameworks for safety-audits of infrastructure projects like the Sea to Sky Highway and methodologies for evaluating transit signal priority systems in Vancouver. He has authored/co-authored over 250 publications and supervised 60 graduate students. Key Roles: Professor, BITSAFS Director, Journal Editor Awards: Tier 1 Canada Research Chair, Wilbur Smith Award, Sandford Fleming Award, Prince Michael International Road Safety Award Consulting: Global projects in traffic safety and ITS for agencies like ICBC, FHWA, and Ashghal His research integrates Bayesian statistical methods, extreme value theory, and machine learning to model traffic conflicts, pedestrian behavior, and safety interventions. Current projects include real-time safety optimization using autonomous vehicle data and analyzing shared space interactions between cyclists and pedestrians. Dr. Sayed chairs national/international committees, including the U.S. Transportation Research Board’s safety data committee. His work bridges academia and practice, influencing policy and infrastructure investment decisions worldwide.

Jan de Gierمشاهده پروفایل

استاد

• Mathematical Physics
• Statistical Mechanics
• Solvable Lattice Models
• +۳ مورد دیگر

Jan de Gier is a Professor at the School of Mathematics and Statistics, The University of Melbourne . He is also the Founding Director of MATRIX , Australia’s residential research institute in the mathematical sciences, and a former Deputy Director and Chief Investigator in the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) . Additionally, he co-founded the Australian and New Zealand Association for Mathematical Physics (ANZAMP) in 2011 and served as its inaugural Chair. His research focuses on solvable lattice models at the intersection of mathematical physics and statistical mechanics . Key areas include the application of quantum integrability , algebraic structures like the Yang-Baxter equation, Hecke algebras, and quantum groups, as well as analytical methods such as complex analysis and elliptic curves. His work bridges pure and applied mathematics through connections between enumerative combinatorics , representation theory , and real-world phenomena like traffic flow modeling via exclusion processes . The 15 most recent articles reflect his expertise in integrable systems , non-equilibrium statistical mechanics , and algebraic combinatorics . Topics span Macdonald polynomials , stochastic duality , quantum spin chains , and traffic modeling , with methodologies involving matrix product forms , exact solutions , and critical phenomena analysis. He has contributed to editorial efforts through the AustMS Gazette and MATRIX Annals, and has been involved in public science communication via opinion pieces on mathematics funding and applications. His work emphasizes the importance of fundamental research in driving technological innovation, as highlighted in media articles discussing pi calculation , zero-knowledge proofs , and mathematics education .

Philipp Neumannمشاهده پروفایل

استاد

• High-Performance Computing
• Scientific Computing
• Parallel and Distributed Systems
• +۴ مورد دیگر

Philipp Neumann is a Professor and Chair of High-Performance Computing at Helmut Schmidt University since 2019. Previously, he held roles including Senior Researcher at the German Climate Computing Center (2016–2019), Postdoc at the University of Hamburg (2017–2019), and completed his Habilitation in Scientific Computing at TU Munich (2019). He transitioned to DESY/Universität Hamburg in May 2024. Education : PhD (Dr. rer. nat.) in Scientific Computing at TU Munich (2008–2013) Habilitation in Scientific Computing at TU Munich (2019) Studies in Technomathematics at Friedrich-Alexander University Erlangen-Nuremberg (2003–2008) Research Interests focus on high-performance computing, parallel and distributed systems, computational science, and applications in climate modeling. His work bridges computational methods with medical challenges, including surgical simulation training, wound healing mechanisms, and gastrointestinal pathology. Professional Activities include leadership roles in major conferences such as steering committee member for ISPDC (since 2021) and program committee roles in IPDPS, ICCS, and IEEE Cluster. He also managed the DFG priority program SPPEXA (2013–2016). Labs/Teams include the Chair for High-Performance Computing at Helmut Schmidt University and collaborations with the German Climate Computing Center. His current work at DESY/Universität Hamburg likely expands these computational efforts into interdisciplinary research.

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.

• Geology
• Astrobiology
• Early Earth History
• +۴ مورد دیگر

Professor Martin Van Kranendonk is the Head of School at the School of Earth and Planetary Sciences (EPS), part of Curtin University's Faculty of Science and Engineering. He holds a portfolio role in the Office of the Provost. His research focuses on early Earth history, astrobiology, and the geological processes that shaped microbial life. He leads investigations into ancient stromatolites, hydrothermal systems, and the environmental conditions conducive to life’s origins. Van Kranendonk’s work spans over four decades, with a strong emphasis on the Pilbara Craton and other Archaean-Proterozoic terrains. His studies integrate geochemistry, sedimentology, and geobiology to unravel the co-evolution of life and Earth’s systems. He collaborates globally, contributing to Mars sample return mission planning and astrobiological studies of extraterrestrial environments. Key research themes include: 1) Early Earth geochemical and tectonic evolution; 2) Microbial biosignatures in ancient rocks; 3) Hydrothermal systems as life’s incubators; and 4) Planetary habitability. His publications emphasize interdisciplinary approaches, linking field geology with cutting-edge analytical techniques. Recent articles highlight advancements in understanding prebiotic chemistry, mantle evolution, and microbial adaptation in extreme environments. While no awards are explicitly listed, his contributions have significantly impacted astrobiology and Archaean geology. He oversees research teams and advises projects at Curtin’s EPS, fostering collaborations across disciplines. Van Kranendonk’s work has implications for both Earth science and planetary exploration, bridging the gap between ancient terrestrial records and future space missions.

Kaidi Yangمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Traffic Flow Theory and Control
• Multimodal Transportation Systems
• +۵ مورد دیگر

Kaidi Yang is an Assistant Professor at the National University of Singapore (NUS) in the Department of Civil and Environmental Engineering, specializing in Intelligent Transportation Systems and related fields. He holds a PhD from ETH Zurich (2019), an M.Sc. in Control Science and Engineering from Tsinghua University (2014), and dual bachelor’s degrees in Automation and Mathematics from Tsinghua University (2011). His research focuses on advancing traffic control, connected/automated vehicles, shared mobility systems, and data privacy in transportation. He has contributed to developing algorithms for efficient traffic signal control, platooning coordination, and privacy-preserving data sharing in transportation networks. Education: Ph.D., Civil and Environmental Engineering (Transportation), ETH Zurich, 2019 M.Sc., Control Science and Engineering, Tsinghua University, 2014 B.Sc./B.Eng., Dual Degrees in Pure/Applied Mathematics and Automation, Tsinghua University, 2011 Yang has received prestigious awards including the Swiss National Science Foundation’s Postdoc Mobility Fellowship (2021–2022) and the IEEE ITS Conference Best Student Paper Award (2020). He serves as an Associate Editor for the IEEE Conference on Intelligent Transportation Systems (2024). His work bridges theoretical advancements in operations research, robotics, and machine learning with practical applications in urban mobility systems. Recent efforts emphasize integrating privacy-preserving techniques into traffic management and optimizing mixed-autonomy platoon control.

Seongjin Choiمشاهده پروفایل

استادیار

• Urban Mobility Data Analytics
• Spatiotemporal Data Modeling
• Deep Learning & Artificial Intelligence
• +۳ مورد دیگر

Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.

Camilo Moraمشاهده پروفایل

استاد

• Climate Change Impacts
• Biodiversity Conservation
• Environmental Science
• +۵ مورد دیگر

Camilo Mora is a Professor in the Department of Geography at the University of Hawaii at Manoa, where he maintains an active research laboratory and teaches courses on environmental issues, biogeography, and data analysis. His academic journey began with a BSc in Marine Biology from Universidad del Valle in Colombia (1999), followed by a PhD in Biology from the University of Windsor, Canada (2005). He completed postdoctoral fellowships at the University of Auckland (2005), Scripps Institution of Oceanography (2006-2008), and Dalhousie University (2008-2010). BSc, Marine Biology, Universidad del Valle, Colombia (1999) PhD, Biology, University of Windsor, Canada (2005) Postdoctoral Fellow, University of Auckland (2005) Postdoctoral Fellow, Scripps Institution of Oceanography (2006-2008) Postdoctoral Fellow, Dalhousie University (2008-2010) Mora's research spans interconnected lines focused on understanding biodiversity patterns and their modification by human activities, with particular emphasis on climate change impacts. His lab specializes in big data analytics applied to diverse environmental challenges including heatwaves, disease transmission, marine ecosystems, and even unconventional topics like Bitcoin's environmental footprint. The Mora Lab operates on a 'divide and conquer' approach to tackle large research questions by breaking data gathering into individual parts that can be concatenated into central databases. Mora has received the CSS Excellence in Research award (2014) for his significant contributions to environmental science. His influential publications include groundbreaking work on the global risk of deadly heat (2017), the projected timing of climate departure from historical variability (2013), and the finding that over half of known human pathogenic diseases can be aggravated by climate change (2022). CSS Excellence in Research (2014) Highly cited publications in Nature and Nature Climate Change Research featured in major international media outlets Development of innovative research methodologies for large-scale analyses Mora leads an active research group that engages students in the full scientific process from idea generation to publication. His approach to mentoring involves creating yearly classes where graduate students, professors, and international advisors collaborate to tackle significant research questions, with papers typically completed within a single semester. His Carbon Neutrality Challenge project, spearheaded by his daughter Asryelle Mora, provides a practical mechanism for individuals to offset carbon emissions through tree planting. The Mora Lab maintains a distinctive approach to environmental research, working on seemingly diverse topics from reef fishes to Bitcoin, united by their reliance on big data analytics. This interdisciplinary methodology has produced impactful research across multiple domains of environmental science and climate change impacts, establishing Mora as a significant contributor to our understanding of humanity's environmental challenges.

Damian Nale Dailisanمشاهده پروفایل

مدرس

• Computational Social Science
• Machine Learning
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Damian Nale Dailisan is a Lecturer in the Department of Humanities, Social and Political Sciences at ETH Zürich, affiliated with the Computational Social Science group. He holds a Ph.D. in Physics from the University of the Philippines, specializing in traffic modeling and machine learning applications. His research focuses on multi-agent systems, particularly in transportation and urban systems. He has held postdoctoral roles and contributed to projects like the ACCeSs@AIM lab. His work bridges computational methods with real-world challenges, including traffic control optimization, AI-driven decision-making, and smart city infrastructure. Notable projects include FAIRLANE for priority lane management and studies on democratizing traffic control systems. Dailisan’s publications span journals like Transportation Research Part C and IEEE Access, addressing topics such as reinforcement learning in traffic signals and ethical AI frameworks. He has presented at workshops like 'Back to the Future' at ETH Zurich and collaborates with interdisciplinary teams to enhance urban mobility solutions. His technical expertise includes Python, network analysis, and agent-based modeling, with contributions to open-source tools for earthquake networks and social systems analysis.

• Power Systems
• Microgrids
• Renewable Energy Integration
• +۷ مورد دیگر

Dr. Daming Zhang serves as a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), Faculty of Engineering. His academic career spans over two decades with continuous scholarly contributions to power systems engineering. Dr. Zhang's research focuses on power systems, microgrids, and renewable energy integration , with particular expertise in constant-frequency microgrid operation, DC-AC conversion technologies, and energy storage applications. His work addresses critical challenges in grid stability, power system protection, and the integration of high-penetration renewable energy sources. He has developed innovative approaches for microgrid regionalization, load flow analysis in islanded systems, and fault detection in photovoltaic systems. His publication record shows a clear evolution from fundamental electromagnetic studies to applied power systems research, with recent work emphasizing practical solutions for decarbonized power systems. The majority of his recent publications appear in high-impact IEEE journals and conferences, demonstrating the significance of his contributions to the field. His research increasingly incorporates advanced computational methods including machine learning for fault detection and optimization techniques for energy system planning. While no specific awards are listed in the available information, Dr. Zhang's extensive publication record in top-tier journals indicates recognition within the academic community. His collaborative work with researchers across multiple institutions demonstrates his active engagement in the international power engineering community. Dr. Zhang's research has practical implications for modern power systems transitioning toward renewable energy integration. His work on constant-frequency microgrids, energy storage applications, and grid-forming converters addresses critical challenges in maintaining stability as power systems incorporate higher levels of inverter-based resources. His recent focus on long-duration energy storage and zero-carbon electricity systems reflects the evolving priorities of the power industry toward decarbonization.

• Geriatrics
• Psychiatry
• Neurology
• +۵ مورد دیگر

Jason Jalil serves as an HS Assistant Clinical Professor in the Department of Psychiatry and Biobehavioral Sciences at the David Geffen School of Medicine, University of California, Los Angeles. His academic career demonstrates a significant research evolution spanning oncology immunology and geriatric psychiatry. His primary research domains include: Geriatric psychiatry and dementia care Brain health in aging populations Cancer immunotherapy (particularly melanoma) CTLA4 blockade mechanisms Digital technology's neurological impacts Polypharmacy management in elderly patients Dr. Jalil's publication history reveals a strategic research transition from 2008-2013 cancer immunology work with the Ribas laboratory to 2019-2022 geriatric psychiatry research. This shift reflects both personal academic development and broader trends in medical research priorities. His early work focused on tumor immunology mechanisms, while recent publications address practical clinical challenges in dementia care and cognitive health maintenance. He maintains active collaborations across UCLA departments, particularly with: Dr. Antoni Ribas (Jonsson Comprehensive Cancer Center) Dr. Susan Bookheimer (neuroimaging expert) Dr. Pauline Wu (geriatric psychiatry) Dr. Stephen Chen (aging research) His research has generated significant academic impact, with publications referenced in patents, clinical guidelines, news media, and social platforms. The 2020 paper on digital technology's brain health consequences has been particularly influential, accumulating 62 PubMed Central citations and substantial social media attention.

Fletcher Hallidayمشاهده پروفایل

استادیار

• Disease Ecology
• Plant Pathology
• Biodiversity
• +۴ مورد دیگر

Fletcher Halliday is an Assistant Professor at the Department of Botany and Plant Pathology at Oregon State University, where he leads the Disease Ecology and Diversity Lab . His research focuses on understanding the interplay between host-pathogen communities, climate change, and land-use impacts on disease risk. Primary affiliation: Oregon State University Research lab: Disease Ecology and Diversity Lab Dr. Halliday's work explores how biodiversity moderates disease dynamics, with studies on fungal epidemics, coinfection interactions, and trait-based susceptibility in plant systems. His research spans elevational gradients, successional ecosystems, and climate manipulation experiments to uncover patterns in pathogen distribution and community assembly. Recent publications highlight trends in biodiversity-disease relationships, climate change effects on herbivory and infection, and multiscale ecological interactions. Articles from 2020–2025 emphasize meta-analytic frameworks, priority effects in parasite assembly, and the role of functional traits in disease risk prediction. The Disease Ecology and Diversity Lab investigates disease risk in complex ecological systems, prioritizing integrative approaches to pathogen community structure and climate-driven changes in host-parasite interactions.

• Intelligent Transportation Systems
• Traffic Network Optimization
• Stochastic Demand Modeling
• +۳ مورد دیگر

Kun An is a Professor at the Department of Traffic Information and Control Engineering within the College of Transportation Engineering at Tongji University. She has previously held academic positions at Monash University (Senior Lecturer, 2018–2019; Lecturer, 2016–2018) and conducted postdoctoral research at the University of Illinois at Urbana-Champaign (2015–2016) and The Hong Kong University of Science and Technology (2014–2015). Her academic journey includes a PhD in Civil Engineering from HKUST (2014) and a Bachelor's degree from Tongji University (2009). PhD: Civil Engineering, The Hong Kong University of Science and Technology (2014) Bachelor's: Transportation Engineering, Tongji University (2009) Dr. An specializes in intelligent transportation systems, focusing on optimizing complex traffic networks, characterizing traveler behavior in stochastic environments, and advancing electric vehicle sharing infrastructure. Her research spans urban transit planning, carsharing logistics, battery electric bus deployment, and real-time traffic signal optimization, with applications to mitigate rail disruptions and enhance multimodal connectivity. Her publications emphasize solving transport challenges through stochastic programming, game theory, and behavioral analysis. Key themes include autonomous vehicle integration, demand uncertainty modeling, and sustainable mobility solutions. Awards include the Hong Kong PhD Fellowship and multiple best paper recognitions. Hong Kong PhD Fellowship (2010–2014) TRBADB30 Best Paper Nomination (2014) Best Paper at 18th Hong Kong Transportation Annual Meeting (Second Author, 2013)

• Biochemical Networks
• Systems Engineering
• Mathematical Modelling
• +۷ مورد دیگر

Dr. J Krishnan is a Reader in Biological & Chemical Information Processing Systems at the Department of Chemical Engineering, Imperial College London, within the Faculty of Engineering. He holds affiliations with multiple interdisciplinary centers including the Centre for Process Systems Engineering, Institute of Systems and Synthetic Biology, and the Industrial Biotechnology Hub. His career includes roles as Lecturer and Senior Lecturer at Imperial College (2006–present), and prior research at Johns Hopkins University (2001–2005). He earned his PhD from Princeton University (2000) and B.Tech from IIT Madras (1994). His research focuses on systems-level analysis of biological and chemical information processing, combining mathematical modeling, computational tools, and collaborations with experimentalists in cell biology, synthetic biology, and biomedical engineering. Key areas include cellular communication networks, gene regulatory systems, and the application of engineering principles to biological systems. He also explores non-biological analogues, such as traffic systems and control engineering. His work on traffic systems emphasizes machine learning applications for anomaly detection, congestion prediction, and autonomous vehicle integration. Recent articles highlight developments in real-time traffic control strategies, CAV impact analysis, and hybrid neural network models for early congestion detection. His contributions span transportation economics, sensor data fusion, and game-theoretic models for public-private collaboration in travel information markets. Collaborative efforts extend to tool development for systems biology and synthetic biology, leveraging interdisciplinary approaches to bridge natural sciences and engineering. His affiliations reflect a commitment to translational research in chemical biology, process systems engineering, and molecular science.

Brian Fisherمشاهده پروفایل

پژوهشگر

• Biodiversity
• Entomology
• Conservation Biology
• +۳ مورد دیگر

Brian Fisher is a Curator of Entomology and Patterson Scholar at the California Academy of Sciences. His work focuses on ant biodiversity in Africa and Madagascar, integrating taxonomy, evolution, and conservation. Fisher leads initiatives like Insects and People of the Southwest Indian Ocean (IPSIO) , which promotes edible insect farming to address malnutrition and protect habitats. His research emphasizes leveraging ants as ecological indicators and developing tools for biodiversity monitoring. Education: Earned a biology degree from the University of Iowa, with early fieldwork in Panama and Costa Rica. Transitioned to entomology during studies at the Smithsonian Tropical Research Institute. Research Interests: Ant diversity and evolution, Madagascar’s ecosystems, and applying insect farming to solve food insecurity. Projects include the Breakfast Before Conservation initiative, which scales cricket farming to reduce lemur hunting and deforestation. Collaborations: Partnerships with Madagascar Biodiversity Center, Entomo Farms, and international scientists. Spearheads genomic and metabarcoding projects to track insect biodiversity across 50 Malagasy sites. Labs/Teams: Fisher Lab at the California Academy of Sciences and Madagascar-based research networks. Develops open-access resources like AntWeb and AntCat for global ant documentation.