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Vera HemmelmayrView profile

Associate Professor

• Operations Research
• Logistics
• Supply Chain Management
• +7 more

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 ChristofidesView profile

Professor

• Control Systems Engineering
• Process Control
• Distributed Control
• +7 more

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 KlüglView profile

Professor

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +4 more

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 CarlssonView profile

Professor

• G protein-coupled receptors (GPCRs)
• Structure-based drug design
• Molecular docking
• +7 more

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 TenkanenView profile

Assistant Professor

• Geospatial Analysis
• Urban Planning
• Transportation Accessibility
• +7 more

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 BlochView profile

Professor

• Geometric Mechanics
• Nonlinear Dynamics
• Hamiltonian Mechanics
• +10 more

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
• +2 more

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 ZhangView profile

Lecturer

• Text Mining
• Information Management
• Social Computing
• +12 more

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 BarakatView profile

Researcher

• Internet Measurement
• Network Traffic Analysis
• Quality of Experience (QoE)
• +3 more

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
• +3 more

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 BenningView profile

Professor

• Lipid metabolism
• Photosynthetic organisms
• Chloroplast membrane assembly
• +3 more

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 GuptaView profile

Adjunct Professor

• Cyberphysical Systems
• Control Theory
• Smart Power Grids
• +5 more

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 TrainorView profile

Professor

• Disaster Science
• Emergency Management
• Risk Perception
• +9 more

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.

Theodoros ZachariadisView profile

Professor

• Environmental Policy
• Energy Resource Management
• Climate Change Mitigation
• +3 more

Theodoros Zachariadis is a Professor and Interim Director of the Energy, Environment and Water Research Center (EEWRC) and the Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC) at The Cyprus Institute. He previously served as Dean of the Faculty of Geotechnical Sciences and Environmental Management at the Cyprus University of Technology (2015–2020), and as Assistant/Associate Professor there (2009–2020). His expertise spans energy and environmental policy, climate change mitigation, and environmental taxation. He holds a Doctorate in Mechanical Engineering from Aristotle University of Thessaloniki. **Research Interests:** Techno-economic analysis of energy, environmental, and transport policies; environmental taxation; climate policy integration with Sustainable Development Goals (SDGs); decarbonization strategies; and green tax reforms. His work emphasizes cost-effective climate policies and equitable transitions. **Awards:** 2009 Research Prize of Cyprus (Republic of Cyprus) and 2019 Environmental Prize (President of Cyprus). He has been ranked in the top 2% of globally cited academics in Energy (2020s). **Affiliations:** Vice Chair of the Scientific Committee of the European Environment Agency, Manager of SDSN Europe, Leadership Council member of SDSN Cyprus, and former Visiting Professor at Aarhus University. He advises on EU climate policies and sustainable development. **Grants & Projects:** Extensive research on Cyprus’ energy policies, EU climate frameworks, and decarbonization pathways. Key outputs include analyses of the EU’s 'Fit for 55' package, green recovery strategies post-pandemic, and cross-border energy cooperation in the Eastern Mediterranean. **Labs/Teams:** Leads research teams at EEWRC and STeDI-RC focusing on policy design, climate adaptation, and techno-economic modeling. Collaborates with international networks like Green Budget Europe and the Journal *Energy Economics* (associate editor).

Matt J. RutherfordView profile

Associate Professor

• Autonomous Systems
• Embedded Systems
• Software Engineering
• +3 more

Matt J. Rutherford is an Associate Professor in the Department of Computer Science at the University of Denver, with a joint appointment in the Department of Electrical and Computer Engineering. He is Deputy Director of the Unmanned Systems Research Institute and a faculty fellow of Project X-ITE. His research focuses on autonomous systems, embedded systems, and software engineering, with extensive contributions to UAV navigation, control systems, and robotics. Rutherford holds a Ph.D. in Computer Science from the University of Colorado Boulder (2006), an MS (2001), and a BS in Civil Engineering from Princeton University (1996). His work emphasizes practical applications of software engineering principles in distributed and embedded systems. Notable projects include radar-based collision avoidance for UAVs, self-leveling landing platforms, and studies on electric vehicle charging impacts on power grids. Rutherford's research bridges theoretical computer science with real-world engineering challenges, particularly in unmanned systems and robotic autonomy. Key publications explore UAV flight control using neural networks, ground/ceiling effects in rotorcraft, and GPU-based real-time pose estimation. His contributions to model-driven systems and distributed testbed automation highlight long-term engagement with software reliability and scalable experimentation frameworks. Rutherford collaborates widely, including with institutions like the University of South Carolina and Politecnico di Torino. His interdisciplinary approach integrates robotics, aerospace engineering, and software engineering to advance autonomous system capabilities.