جست‌وجوی استاد و پژوهشگر

Amir Ardestani-Jaafariمشاهده پروفایل

دانشیار

• Healthcare Operations
• Supply Chain Management
• Business Analytics
• +۲ مورد دیگر

Amir Ardestani-Jaafari is an Associate Professor at the Faculty of Management , University of British Columbia Okanagan, with affiliations to the Institute for the Sustainability (IGS) . His office is located at EME 4111, and he can be reached at amir.ardestani@ubc.ca or 250.807.8108. Postdoctoral Fellow in Operations Management, McGill University Ph.D. in Management Science, HEC Montreal M.Sc. and B.Sc. in Industrial Engineering, Tehran Polytechnic Dr. Ardestani-Jaafari’s research focuses on Healthcare Operations , Supply Chain Management , and Business Analytics , with particular emphasis on robust optimization techniques for facility location, demand uncertainty, and network design. His work integrates mathematical modeling with real-world healthcare and logistics challenges. Recent publications demonstrate expertise in Two-stage Robust Optimization for equity-driven facility location, Text Mining in telemedicine appointment systems, and Decision-dependent Uncertainty in network interdiction. He has explored applications in Home Healthcare , Cancer Screening Networks , and Global Sourcing Compliance using advanced optimization frameworks. Dr. Ardestani-Jaafari is affiliated with key research centers including the UBC Optimization Center (COCANA) , Materials and Manufacturing Research Institute (MMRI) , and GERAD Research Center . While student advising information isn't explicitly stated, his technical contributions span algorithm development for inventory problems, network design methodologies, and computational solutions for complex operations management challenges.

Jingbo Liuمشاهده پروفایل

استادیار

• Statistical Inference
• Information Theory
• Signal Processing
• +۴ مورد دیگر

Jingbo Liu is an Assistant Professor in the Department of Statistics at the University of Illinois, Urbana-Champaign, with an affiliate appointment in Electrical and Computer Engineering. He received his B.E. (2012) from Tsinghua University, M.A. (2014) and Ph.D. (2018) from Princeton University, all in Electrical Engineering, followed by a postdoc at MIT IDSS. Education Ph.D. in Electrical Engineering, Princeton University (2018) M.A. in Electrical Engineering, Princeton University (2014) B.E. in Electronic Engineering, Tsinghua University (2012) His research focuses on statistical inference under systems constraints, information-theoretic inequalities, graphical models, and applications of high-dimensional probability to information sciences. Key areas include mutual covering bounds, hypercontractivity, Brascamp-Lieb inequalities, and their connections to machine learning and communication systems. Recent work applies information theory to generative AI, analyzing diffusion models' utility, privacy enhancements, and computational efficiency. He also investigates statistical physics techniques for high-dimensional problems like Lasso distributional limits and tensor model free energy, with applications in variable selection and PCA. Scientific awards include the Thomas M. Cover Dissertation Award (2018) and Princeton's Wallace Memorial Fellowship (2016). Courses taught include STAT 578 (High-Dimensional Statistics), STAT 430 (Nonparametric Statistics), and STAT 542 (Statistical Learning).

Vera Hemmelmayrمشاهده پروفایل

دانشیار

• Operations Research
• Logistics
• Supply Chain Management
• +۷ مورد دیگر

Associate Professor Vera Hemmelmayr is affiliated with the Institute of Transport Economics and Logistics at the Vienna University of Economics and Business . Her research spans Operations Research , Logistics , Supply Chain Management , and Circular Economy , with a focus on vehicle routing , city logistics , and metaheuristics . She has led major projects like CREATE_AT (circular timber supply chains) and Sustainable Urban Deliveries . Research trends in her recent work include real-time optimization algorithms for railway disruptions, sustainable urban freight solutions , and integrated railcar fleet management . Her publications often bridge transport policy with computational methods , emphasizing green supply chains and smart city logistics . 2025: Preis für innovative Lehre 2017: Best Application Paper Honorable Mentions (IIE Transactions) 2012: Dr.-Maria-Schaumayer-Habilitationsstipendium 2012: WU Visiting Fellow 2005: Prämierung ausgezeichneter Diplomarbeiten She has supervised research projects on topics including two-echelon delivery systems , railway disruption management , and digital transformation in logistics, while contributing to policy frameworks for circular economy in transportation.

Panagiotis Christofidesمشاهده پروفایل

استاد

• Control Systems Engineering
• Process Control
• Distributed Control
• +۷ مورد دیگر

Panagiotis Christofides is a Distinguished Professor in the Department of Chemical and Biomolecular Engineering at the University of California, Los Angeles (UCLA), with a secondary affiliation in Electrical and Computer Engineering. He serves as Department Chair and holds the William D. Van Vorst Chair in Chemical Engineering Education. Education: Diploma in Chemical Engineering (1992), University of Patras M.S. in Electrical Engineering (1995), University of Minnesota M.S. in Mathematics (1996), University of Minnesota Ph.D. in Chemical Engineering (1996), University of Minnesota Research Focus: Christofides specializes in control systems engineering for complex industrial processes, including nonlinear/hybrid systems, economic model predictive control, fault-tolerant control, and multiscale modeling. His work bridges chemical engineering with advanced computational methods, particularly in water/energy systems and solar-cell technologies. Scientific Leadership: He has authored over a dozen influential books and special issues on control theory and its industrial applications. Awards include AIChE Fellow, IEEE/IFAC/AAAS Fellowships, the Donald P. Eckman Award, and multiple Schuck Best Paper Awards. His research has been recognized through the NSF CAREER Award and ONR Young Investigator Award.

Franziska Klüglمشاهده پروفایل

استاد

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +۴ مورد دیگر

Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.

Jens Carlssonمشاهده پروفایل

استاد

• G protein-coupled receptors (GPCRs)
• Structure-based drug design
• Molecular docking
• +۷ مورد دیگر

Jens Carlsson is a Professor at Uppsala University, affiliated with the Department of Cell and Molecular Biology and the Science for Life Laboratory (SciLifeLab) . His research focuses on computational biochemistry , particularly G protein-coupled receptors (GPCRs) , using physics-based modeling to advance structure-based drug design . Academic rank: Full Professor (since 2022) Key methodologies: Molecular dynamics simulations, docking, free energy calculations Research themes: GPCR ligand interactions, virtual chemical space screening, allosteric modulators Recent work (2025) highlights AI-driven discovery of brain disease therapeutics and DNA repair inhibitors , while 2024 projects explore AlphaFold applications in TAAR1 agonist design . His group has received Swedish Research Council grants (3.6M SEK, 6M SEK) and industry collaborations . Scientific awards include the Göran Gustafsson Prize (2016), Excellence Prize in Molecular Design (2022), and Ingvar Carlsson Award (2012). Key students include PhD candidates Mariama Jaiteh and Pierre Matricon , with postdocs like Nicolas Panel and Duy Duc Vo .

Henrikki Tenkanenمشاهده پروفایل

استادیار

• Geospatial Analysis
• Urban Planning
• Transportation Accessibility
• +۷ مورد دیگر

Henrikki Tenkanen is an Assistant Professor in the Department of Built Environment at Aalto University, specializing in Geoinformatics. His research focuses on geospatial analysis, urban planning, transportation accessibility, and open data applications for sustainable development. His primary research interests include Geospatial Analysis , Urban Planning , Transportation Accessibility , and Population Dynamics . Tenkanen's work integrates mobile phone data, social media, and open geospatial sources to understand urban environments, accessibility patterns, and carbon emissions. His research contributes significantly to UN Sustainable Development Goals related to sustainable cities and communities. Tenkanen's recent publications demonstrate strong trends in high-resolution spatial analysis of urban environments, with particular emphasis on transport equity , carbon emissions mapping , and rural population representation . His work combines advanced geocomputing techniques with practical urban planning applications, often developing open-source tools to enhance reproducibility and accessibility of geospatial research. As an active member of the academic community, Tenkanen serves as a peer reviewer for journals including Big Data & Society and Environment and Planning B, and participates in conference committees such as the International Conference on Location Based Services. His research has garnered significant attention, with multiple publications featured in news outlets and academic platforms. Tenkanen leads several major research projects including Geo-R2LLM (developing geographic large language models), Geoportti (open geospatial infrastructure), MAPICO (mapping commute-related carbon emissions), and LIH: Location Innovation Hub. His work bridges academic research with practical applications for urban planning and sustainable mobility.

Anthony Blochمشاهده پروفایل

استاد

• Geometric Mechanics
• Nonlinear Dynamics
• Hamiltonian Mechanics
• +۱۰ مورد دیگر

Anthony Bloch is the Alexander Ziwet Collegiate Professor of Mathematics and Professor of Mathematics at the University of Michigan, serving as Chair of the Department of Mathematics. He is affiliated with the Center for the Study of Complex Systems (CSCS) in Weiser Hall. His research focuses on: Geometric Mechanics : Hamiltonian/Lagrangian mechanics, symplectic geometry, and integrable systems including Toda lattices and rigid body dynamics Nonlinear Dynamics : Nonholonomic systems with nonintegrable constraints, stability analysis, and continuous-discrete flow relationships Control Theory : Nonlinear and optimal control applications extending to quantum dynamics and astrophysical systems Recent publications demonstrate geometric methods applied to nonholonomic control, virtual constraints, and stabilization, with growing interdisciplinary work in network dynamics, quantum control, and cosmological models like cosmic reheating. Through the Center for the Study of Complex Systems, Professor Bloch collaborates across disciplines to investigate complex phenomena in natural and engineered systems, leveraging geometric frameworks to address fundamental questions in mechanics and dynamics.

• Traffic Data Acquisition
• Traffic Data Analysis
• Video-Based Microscopic Traffic Flow Simulation
• +۲ مورد دیگر

Dr. Adrian Fazekas is a Lecturer at the Institute of Highway Engineering, RWTH Aachen University, and collaborates with the Federal Highway Research Institute (BASt). He holds a Dr.-Ing. in Computer Science from RWTH Aachen (2005–2011), specializing in Media Engineering. His professional trajectory includes roles as a Research Assistant at RWTH Aachen and industry experience as a Software Developer at Continental AG. Research interests focus on traffic data acquisition , microscopic traffic flow simulation , and intelligent transportation systems . Key projects include: DROVA: Drone-based traffic analysis for infrastructure optimization ESIMAS: Real-time tunnel safety management Digital Twin Road: Physical-informational mapping of future highways AUTUKAR: Automated tunnel monitoring systems His publications emphasize real-time traffic detection , safety analytics , and data-driven modeling , with recent work exploring thermal-camera nudging systems and weigh-in-motion accuracy. He actively contributes to the Research Association for Roads, Earth and Tunneling (SETAC). No awards or student advising roles are documented.

Yu Zhangمشاهده پروفایل

مدرس

• Text Mining
• Information Management
• Social Computing
• +۱۲ مورد دیگر

Dr. Yu Zhang is a Lecturer of Data Science at the School of Business, UNSW Canberra. His academic career focuses on text mining, knowledge and information management, social computing, and bibliometric analysis, with interdisciplinary applications in areas such as sustainable logistics, supply chain management, and net-zero energy solutions. Fields of Interest: Text Mining, Information Management, Social Computing, Bibliometric Analysis, Machine Learning for Information Systems, Heterogeneous Network Analysis, Data Mining for Asset Management, Sustainable Logistics, Supply Chain Management, Net-zero Energy in Green Buildings, and Transportation. Grants: Served as CI in projects like "Online health monitoring in Li-ion batteries via trustworthy AI" (ACT Government, $1.22M) and "Delivering net-zero energy buildings" (TRaCE Lab to Market, $1.05M). Awards: Best Paper Award (Runner-up) at ADMA 2024 and Excellent Paper Award at ICEBE 2024. Teaching: Coordinated courses in Data Analytics, Workforce Planning Research, Business Capstone, and Logistics Intelligence with Big Data Analysis. Supervision: Guided research on topics like federated learning for healthcare fraud detection, blockchain-based carbon offset management, and tier-based supply chain visibility. His publications span materials science and photovoltaic technologies, with a focus on thin-film solar cells and defect passivation methods. For collaboration or supervision inquiries, contact him at m.yuzhang@unsw.edu.au .

Chadi Barakatمشاهده پروفایل

پژوهشگر

• Internet Measurement
• Network Traffic Analysis
• Quality of Experience (QoE)
• +۳ مورد دیگر

Chadi Barakat is a Senior Researcher (Directeur de Recherche) at Université Côte d'Azur's Inria research center, leading the DIANA project-team. He holds a PhD in Computer Science from University of Nice Sophia Antipolis (2001) and Habilitation (HDR) in 2009, with academic credentials from Lebanese University (1997) and French institutions. PhD: Computer Science (2001), University of Nice Sophia Antipolis HDR: Computer Science (2009), University of Nice Sophia Antipolis Master's: Computer Science (1998), University of Nice Sophia Antipolis BSc: Electrical & Electronics Engineering (1997), Lebanese University His research focuses on Internet measurement and traffic analysis , with significant contributions to Quality of Experience (QoE) modeling, 5G/ICN/SDN network architectures , and network performance evaluation . Recent articles highlight browser-based network monitoring, fidelity-aware network emulation, and ray tracing optimization for radio frequency mapping. He has supervised 12 PhD students to completion and currently directs the Academy of Excellence 'Networks, Information, and Digital Society' at Université Côte d'Azur. His work has received multiple best paper awards at CNSM, CloudNet, and SECON conferences, while serving as associate editor for Elsevier Computer Networks journal and active in ACM/IEEE conference committees. Director, Academy of Excellence 'Networks, Information, and Digital Society' (2025-present) Senior IEEE Member (2010) & ACM Senior Member (2018) General Co-Chair: ACM IMC 2022, ACM CoNEXT 2012 Guest Editor: IEEE JSAC special issue on Internet Sampling

• Cancer Metabolism
• Metabolic Reprogramming
• Tumor Metastasis
• +۳ مورد دیگر

Sophia Lunt is a Professor in the Department of Biochemistry & Molecular Biology and Chemical Engineering & Materials Science at Michigan State University , where she has been since 2015 (Assistant Professor 2015-2021, Associate Professor 2021-2025, Professor 2025-present). She leads the Lunt Lab , focusing on cancer metabolism , particularly metabolic reprogramming in tumor proliferation, heterogeneity, and metastasis . Her work combines mass spectrometry , genetic cancer models , cell biology , and fluorescent agents to develop targeted cancer therapies . Ph.D. (2010) & B.S. (2005) in Chemistry Postdoctoral Fellow at MIT (2010-2015) NSF CAREER awardee (2019) 20+ peer-reviewed publications since 2007 Research Focus : Cancer metabolism (Warburg effect, PHGDH heterogeneity, TIGAR regulation) Photodynamic therapy (counterion-tuned agents, metal halide nanoclusters) Metabolomics (tumor-immune interactions, microbiome effects) Selected Scientific Awards : 2022 MSU College of Natural Science Teacher-Scholar Award 2022 MSU BMB Teaching Award 2020 MANA Young Investigator Award 2019 NSF CAREER & METAvivor Early Career Investigator Awards Her teaching includes BMB 101: Frontiers in Biochemistry (curriculum overhaul for freshman success) and BMB 461: Advanced Biochemistry I , covering metabolic regulation and pathways.

Christoph Benningمشاهده پروفایل

استاد

• Lipid metabolism
• Photosynthetic organisms
• Chloroplast membrane assembly
• +۳ مورد دیگر

Christoph Benning is a University Distinguished Professor at Michigan State University, holding appointments in the Department of Biochemistry & Molecular Biology , Molecular Plant Sciences Program , Plant Biology , and Genetics & Genome Sciences Program . He leads the MSU-DOE Plant Research Laboratory and contributes to the Cell & Molecular Biology Program and BioMolecular Science Gateway . Ph.D., 1991, Michigan State University M.S., 1986, Albert-Ludwigs Universitaet, Freiburg, Germany Postdoctoral Researcher, 1991-1993, Michigan State University Group Leader, 1993-1997, Institut fuer Genbiologische Forschung Berlin GmbH His research centers on lipid metabolism in photosynthetic organisms , with a focus on chloroplast membrane assembly, lipid remodeling under stress, and biofuel production from algae. His lab uses Arabidopsis and Chlamydomonas to study genetic and biochemical mechanisms governing lipid biosynthesis, stress tolerance, and cellular quiescence in algae. Recent publications highlight advancements in chloroplast nanofactories , ER-chloroplast lipid transport , and WRINKLED1 transcription factor engineering to boost lipid accumulation. These works span synthetic biology , metabolic engineering , and environmental stress responses in plants and algae. Scientific Awards : Fellow of the American Society of Plant Biologists (2025), Member of the National Academy of Sciences (2025), Senior Member of the National Academy of Inventors (2022), and multiple teaching/mentoring awards. Advising : Recognized for mentoring graduate and postdoctoral researchers. Labs & Collaborations : Leads the Benning Lab at MSU, with DOE-funded projects and partnerships in algal biofuel research.

Vijay Guptaمشاهده پروفایل

استاد مدعو

• Cyberphysical Systems
• Control Theory
• Smart Power Grids
• +۵ مورد دیگر

Vijay Gupta is an Adjunct Professor at the University of Notre Dame, affiliated with the Fitzpatrick Hall of Engineering. His research focuses on cyberphysical systems, integrating control theory, communication networks, and processing algorithms for applications in smart power grids, energy storage, and electric vehicle charging infrastructure. Education: Ph.D. and B.S. in Electrical Engineering from the California Institute of Technology His work emphasizes systematic design theories for cyberphysical systems, addressing challenges in renewable energy integration, distributed control algorithms, and stochastic optimization. Publications highlight applications in electricity markets, microgrid management, and EV charging infrastructure. Recent research trends include online learning for distributed control, regret minimization in energy management, and stochastic pricing models for renewable energy systems.

Joseph Trainorمشاهده پروفایل

استاد

• Disaster Science
• Emergency Management
• Risk Perception
• +۹ مورد دیگر

Joseph Trainor is the Interim Dean and Professor at the Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware. He is a core faculty member of the Disaster Research Center, renowned for expertise in Disaster Science and Emergency Management. His research integrates behavioral and organizational dimensions of disasters, focusing on risk perception, warnings, equity, and policy integration. Trainor holds a PhD in Sociology from the University of Delaware (2009), with earlier degrees from the same institution and Millersville University. Education: Ph.D., Philosophy in Sociology, University of Delaware (2009) MA, Sociology, University of Delaware (2004) B.A., Double Major in Sociology and Psychology, Millersville University (2002) Research Interests: Trainor’s work spans risk communication, organizational management in crises, disaster mitigation, and equity. Key themes include household decision-making around insurance and retrofitting, multi-organizational response systems, and pandemic workforce dynamics. He emphasizes bridging academic research with practitioner needs, with a focus on policy applications. Public Service & Collaboration: Trainor collaborates with agencies like FEMA, DHS, and state emergency management offices. His projects address land-use policies, hurricane risk reduction, and pandemic response strategies. He frequently chairs doctoral committees and teaches at all academic levels. Labs & Teams: As part of the Disaster Research Center, he contributes to interdisciplinary teams advancing disaster science through mixed-methods approaches, including computational frameworks and community resilience models.