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Michael Levin is an Associate Professor at the University of Minnesota , Department of Civil, Environmental, and Geo- Engineering. His research bridges transportation engineering , operations research , and computer science , focusing on modeling and optimizing transportation networks for connected and autonomous vehicles . Key research areas include traffic flow theory (kinematic wave models, mesoscopic node models), intelligent transportation systems (dynamic microtolling, parking reservations), and emerging mobility impacts (autonomous taxis, drone delivery). He has developed max-pressure signal control frameworks that maximize urban network throughput using Markov chain analysis and is collaborating with Hennepin County for real-world pilot deployments. His work on autonomous vehicle impacts extends from traffic congestion prediction to eco-driving control and cyberattack-resilient vehicle control . Current students include Mobina Nankali (2025 MS), Maziar Zamanpour (2023 MS), Te Xu (2023 PhD), and Shi'an Wang (2023 PhD). Scientific honors include the 2025 Alfred Noble Prize , multiple Matthew J. Huber Awards , and IEEE ITSS Best Dissertation Award . He leads technical reports on school start time impacts and connected corridor deployments , with funding from Minnesota Department of Transportation and Center for Transportation Studies . His Levin Research Group maintains full graduate student funding through research and teaching assistantships.

• Transportation Network Modeling
• Traffic Flow Theory
• Connected and Autonomous Vehicles
• +11 more

Ahmed Alkhateeb is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His work bridges wireless communications, machine learning, and sensing technologies, with a focus on 6G networks and beyond. He leads the Wireless Intelligence Lab and has contributed to datasets like DeepSense 6G and DeepMIMO. Ph.D., Electrical Engineering, University of Texas-Austin (2016) M.S., Electrical Engineering, Cairo University (2012) B.S., Electrical Engineering (with distinction), Cairo University (2008) Research Interests: Machine learning for wireless communication Integration of sensing and communication for 6G Multi-modal sensing (LiDAR, radar, cameras) for channel optimization AI-based wireless sensing and perception Recent publications emphasize digital twin applications, robust beamforming, and real-world testing of reconfigurable intelligent surfaces (RIS), with a focus on sim-to-real transfer and hardware constraints. His work spans vehicular/drone networks, OTFS modulation, and terahertz communication. Scientific Awards: 2012 MCD Fellowship (University of Texas-Austin) 2016 IEEE Signal Processing Society Young Author Best Paper Award NSF CAREER Award (2021) His lab develops tools like DeepSense 6G and ViWi datasets, advancing AI-driven wireless system design. He explores decentralized interference management and cell-free MIMO architectures for next-gen networks.

• Wireless Communications
• Communication Theory
• Signal Processing
• +5 more

Dr. Mahesh Krishnamurthy serves as the Vin and Caren Prothro Department Chair of Electrical and Computer Engineering and Professor at Southern Methodist University (SMU) in Dallas, Texas. He concurrently holds leadership roles as Co-Executive Director of the Hart Institute for Technology, Innovation and Entrepreneurship and Director of the Advanced Sustainable Power and ENergy (ASPEN) lab. Additionally, he manages the EPCN core portfolio in Power Electronics and Motor Drives as a Program Manager at the US National Science Foundation since 2021. His academic credentials include a PhD from the University of Texas at Arlington and an MS from Missouri University of Science and Technology. These foundational qualifications underpin his expertise in sustainable energy systems and electrified transportation. Dr. Krishnamurthy's research program centers on power electronics and electric machine innovation for decarbonization challenges. His laboratory investigates Li-ion battery safety through multi-physics modeling, develops motor control algorithms for renewable energy integration, and designs power converters for microgrids and electric vehicles. This work directly enables advancements in eVTOL aircraft, EV drivetrains, and grid-stable charging infrastructure. As founder of the IEEE Transportation Electrification Conference and Expo, he shapes global research directions in sustainable mobility. Recent publications reveal a strategic focus on solving critical barriers in electrified transportation and energy storage. His team pioneers synthetic data techniques for battery safety in aerial vehicles, develops fault-tolerant power converters for grid resilience, and optimizes electromagnetic components for efficiency. These efforts bridge theoretical innovation with industrial applications in automotive and aerospace sectors. His accolades include: IEEE Vehicular Technology Society Distinguished Lecturer (2011-2015) and Distinguished Speaker (2015-2021) Multiple IIT teaching awards: Armour Excellence (2017), Bauer Family University Award (2017), and Thomas Jacobius Award (2019) Best Paper Prize at 2016 IEEE Transportation Electrification Conference Endowed professorship at IIT (2023-2024) and current SMU Department Chair As Editor-in-Chief of IEEE Transactions on Transportation Electrification (2020-2023) and leader of IEEE Power Electronics Society technical committees, Dr. Krishnamurthy influences scholarly discourse while mentoring students through SMU's ECE programs. His NSF program management role connects academic research with national infrastructure priorities. The ASPEN lab he directs operates as a nexus for industry-academia collaboration, advancing sustainable power solutions through experimental validation of multi-physics models and prototype development in battery systems, motor drives, and grid-integrated converters.

• Power Electronics
• Electric Machines and Motor Drives
• Battery Management Systems
• +4 more

Elman Bashar is an Associate Professor at Plymouth State University, where he teaches courses in computer programming, data communications, cybersecurity, and mobile app development. He earned his BS and MS in Computer Science & Engineering from the University of Dhaka (2007, 2009) and another MS (2013) and PhD (2016) in Computer Science from the University of Louisiana at Lafayette. His research focuses on data dissemination in opportunistic mobile social networks and network security, particularly in mobile environments. His work includes energy-aware clustering techniques for mobile ad hoc networks (2010) and NSF-funded research on distributed data dissemination schemes for Device-to-Device networks (2016). Current research trends emphasize security in mobile networks, probabilistic delay constraints, and opportunistic data sharing. Publications highlight applications of optimization algorithms and quality-of-service improvements in dynamic network environments. Dr. Bashar has taught foundational and advanced courses such as Introduction to Programming, Data Structures, Mobile App Development, and Cybersecurity. His academic contributions span both computational theory and practical implementation in networked systems.

• Data Dissemination
• Opportunistic Mobile Social Networks
• Network Security
• +3 more

Clarissa Strieder-Barboza is an Assistant Professor in the Department of Veterinary Sciences at Texas Tech University's College of Agricultural Sciences & Natural Resources. Her research bridges animal and human health by investigating adipose tissue remodeling and metabolic disease mechanisms in periparturient dairy cattle and obese humans. Veterinary Medicine (DVM), Universidade Federal de Santa Maria, Brazil MS in Veterinary Science-Animal Health, Universidad Austral de Chile PhD in Comparative Medicine and Integrative Biology, Michigan State University Her work focuses on: Depot-specific adipose tissue function Mechanisms linking obesity to metabolic disease Development of nutritional and therapeutic interventions Cross-species comparisons between dairy cattle and human health Extracellular matrix regulation of adipogenesis Recent publications highlight trends in: Single-cell characterization of adipose depots Adipose-immune system interactions Metabolic stress biomarker development Comparative analysis of human and bovine adipose function Scientific Recognition: American Dairy Science Association® Awards Program (2023, 2018) She contributes to Texas Tech's Institute for One Health Innovation, which addresses health challenges through cross-disciplinary collaboration between human and veterinary medicine.

• Metabolic disease
• Adipose tissue biology
• Dairy cattle health
• +2 more

Andrea Blasco is a Research Fellow at the Institute of Quantitative Social Science (IQSS) at Harvard University, affiliated with the Laboratory for Innovation Science at Harvard (LISH) . He holds a PhD in Economics from the University of Bologna and a Master M2 from Toulouse School of Economics. Education: PhD in Economics, University of Bologna Master M2, Toulouse School of Economics Research Interests: Andrea’s work bridges Industrial Organization, Economics of Innovation, and Behavioral Economics, focusing on the intersection of R&D, intellectual property rights, and media economics. Recent publications highlight his expertise in EU Mission engagement, energy policy, and migration narratives. Key Article Trends: His 15 most recent publications (2025–2010) span EU policy engagement, energy efficiency strategies, behavioral interventions for refugee solidarity, AI in education, and media economics. Themes include experimental design, open innovation, and policy evaluation across academic, governmental, and industrial contexts. Labs & Teams: Andrea contributes to LISH at Harvard, advancing research on innovation science through interdisciplinary collaborations.

• Industrial Organization
• Economics of Innovation
• Media Economics
• +5 more

Lin Gao is a Professor and Interim Department Chair of Chemistry at the University of Mary Hardin-Baylor (UMHB) , where she teaches courses including General Chemistry I and II , Instrumental Analysis , and Chemical Research . Education: Ph.D. in Analytical Chemistry, Texas Tech University M.S. in Analytical Chemistry, Texas Tech University B.S. in Analytical Chemistry, Jilin University Her research interests focus on alternative fuels , fuel cell catalysts , and environmental impact assessments . Her work spans energy science , nanochemical engineering , and analytical chemistry , with a particular emphasis on green chemistry and life cycle analysis of advanced technologies. Lin's peer-reviewed articles explore alternative fuel efficiency , fuel cell design , and analytical instrumentation . Key trends include nanostructured materials , electrochemical processes , and environmental sustainability metrics . Scientific awards include the Nano 50 Award (2006) ACS Student Chapter Co-Advisor Outstanding Awards (2014-2015, 2013-2014) ACS Student Chapter Commendable Awards (multiple years) Lin has advised the ACS Student Chapter for over a decade, securing Welch Foundation grants (2012-2018, $30,000/year) UMHB Faculty Development Funds (multiple grants) Pittsburgh Conference Memorial Grant ($16,145, 2012) Labs and teams include the Sigma Pi chemistry student club , where she organizes Demos in the Dark , Science Saturday , and National Chemistry Week outreach. She also chairs the Heart O’ Texas Section of the American Chemical Society .

• Energy Consumption
• Greenhouse Gas Emissions
• Alternative Fuels
• +4 more

Geoffrey M. Lewis is a current Lecturer and Research Specialist Lead at the University of Michigan within the Center for Sustainable Systems under the School for Environment and Sustainability . His work focuses on life cycle assessment, sustainable energy systems, and environmental engineering. Ph.D. in Landscape Architecture and Architecture, University of Michigan (2006) M.S. in Architecture, University of Michigan (2001) M.S. in Natural Resources, University of Michigan (1994) B.S. in Electrical Engineering, Rensselaer Polytechnic Institute (1983) Lewis specializes in Life Cycle Assessment and Carbon Footprint Analysis , with applications spanning hydrogen energy pathways , EV battery management , and automotive material flows . His recent studies include optimizing electric delivery vehicle emissions and developing Michigan's Hydrogen Roadmap . Scientific contributions include the Alcoa Foundation's Conservation and Sustainability Fellowship Program . Current projects involve automated urban delivery systems , Detroit 2030 District , and carbon accounting for U-M's decarbonization efforts . Key publications cover superabsorbent polymer recycling , 3D printing emissions , and mobile battery sustainability .

• Life Cycle Assessment
• Sustainable Energy Systems
• Environmental Engineering
• +5 more

Dr. Jiang (Linda) Xie is a Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte, where she serves as an IEEE Fellow. Her research focuses on wireless and mobile networks with applications in edge computing, mobile augmented reality, and energy-efficient systems. She maintains an active research laboratory with several current PhD students working on cutting-edge networking problems. Her research interests span wireless networking, mobile computing, edge computing, mobile AR/MR/VR, intelligent and connected vehicles, and energy-efficient system design. Dr. Xie's work addresses fundamental challenges in communications networks, particularly in the areas of mobility management, spectrum utilization, and performance analysis of next-generation wireless systems. Her research group has produced numerous publications in top-tier venues including IEEE Transactions and INFOCOM. Dr. Xie's research output demonstrates consistent contributions to wireless networking, with recent publications focusing on cognitive radio networks, handoff management in mesh networks, and mobility solutions for emerging wireless architectures. Her work shows progression from foundational network protocols to more complex systems addressing contemporary challenges in mobile computing and edge infrastructure. IEEE Fellow Dr. Xie has successfully mentored numerous PhD and Master's students, many of whom have secured faculty positions at universities or engineering roles at major technology companies including Google, Amazon, Apple, and Qualcomm. Her students have received prestigious awards including NSF CRII Awards, Best Paper Awards at IEEE GLOBECOM, and Graduate Dean's Distinguished Dissertation Awards. She maintains active research collaborations and has supervised students working on projects funded by various research grants. Her laboratory focuses on wireless network protocols, mobile computing systems, and performance analysis of communications networks, with current projects addressing challenges in spectrum management, edge computing for mobile applications, and energy-efficient network design.

• Wireless Networking
• Mobile Computing
• Edge Computing
• +6 more

Feng Wang is an Associate Professor in the Department of Computer and Information Science at the University of Mississippi, College of Engineering, specializing in computer networking, wireless sensor networks, and edge computing. He holds a PhD in Computing Science from Simon Fraser University (2012), and BEng and MEng degrees in Computer Science from Tsinghua University (2002, 2005). As an IEEE Senior Member, he has received multiple accolades, including the IEEE INFOCOM Distinguished TPC Member Award (2020) and ACM BuildSys Best Paper Award (2018). Research Interests: His work focuses on Wireless mesh and sensor networks Peer-to-Peer systems Internet of Things (IoT) and edge computing Big data and deep learning in networking Crowdsourcing for smart cities Cyber-physical systems Selected Scientific Awards: IEEE ICME Quality Reviewer Award (2011) ACM BuildSys Best Paper Award (2018) IEEE INFOCOM Distinguished TPC Member Award (2020) Chinese Government Scholarship (2009-2010) Simon Fraser University Fellowships (2005-2011) Professional Service: He served as Program Vice Chair for the International Conference on Internet of Vehicles (IOV’14) and TPC Co-Chair for IEEE CloudCom 2017 (IoT and Mobile on Cloud track). He is a Technical Committee Member for Elsevier Computer Communications and reviews for top-tier journals like IEEE/ACM Transactions on Networking.

• Computer Networking
• Wireless Sensor Networks
• Peer-to-Peer Networks
• +7 more

Dr. Yanbing Wang is a tenure-track Assistant Professor at Arizona State University's School of Sustainable Engineering and the Built Environment (SSEBE), where she leads applied research initiatives with government and industry partners on intelligent transportation systems and mobility analytics. Before joining ASU in 2025, she conducted postdoctoral research at Argonne National Laboratory's Transportation and Power Systems division and earned her PhD in Civil and Environmental Engineering from Vanderbilt University in 2023. PhD, Civil and Environmental Engineering, Vanderbilt University (2023) BS, Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (2018) Dr. Wang specializes in advancing transportation cyber-physical systems (CPS) through computationally-efficient tools for large-scale empirical data generation and analysis. Her work bridges theory and practice via real-world experimentation with Tennessee's I-24 MOTION testbed and collaboration with public agencies. Key research themes include connected vehicle dynamics, adaptive cruise control personalization, and real-time traffic monitoring frameworks. Her 15 most recent publications (2024-2022) demonstrate interdisciplinary trends spanning transportation engineering, computer vision, control theory, and environmental data science. Articles focus on trajectory reconstruction, multi-object tracking algorithms, digital twin infrastructure, and machine learning applications for traffic stability, with notable emphasis on heterogeneous traffic estimation, parameter calibration, and 3D vehicle tracking benchmarks. Cyber-Physical Systems Rising Star (University of Virginia, 2023) Dwight D. Eisenhower Transportation Fellowship (FHWA, 2018-2023) Sidney P. Colowick Graduate Scholarship (Vanderbilt, 2021) Best Student Paper Award at SMC 2020 Dr. Wang advises MS students like Raswanth Prasath, whose work on multi-object tracking was spotlighted at ASU's Graduate Poster Symposium. Her research has been supported by Department of Energy funding at Argonne and a USDOT grant through the Eisenhower Fellowship. She collaborates with institutions including Toyota InfoTech Labs, Mitsubishi Electric Research Laboratories, and UCLA's IPAM, while leading projects like the I-24 MOTION data infrastructure and CIRCLES congestion reduction initiative.

• Transportation Cyber-Physical Systems
• Connected and Automated Vehicles
• Dynamical Systems
• +1 more

Alexander Schroeder is a Researcher at the National Renewable Energy Laboratory (NREL), currently serving as Acting Group Research Manager for the Advanced Vehicles and Charging Infrastructure Group within the Center for Integrated Mobility Sciences. His career spans over 15 years of leadership in transportation and energy systems research. Education: Master in Engineering and Technology Management, Colorado School of Mines Bachelor in General Engineering, University of Illinois at Urbana-Champaign Dr. Schroeder’s research focuses on electric vehicle grid integration, commercial vehicle electrification, and modeling tools for mobility systems. His work addresses strategic planning, technology transfer, and policy analysis in sustainable transportation. His recent publications (2016–2023) highlight trends in transportation engineering, renewable energy, and electric vehicle technologies, with a focus on charging infrastructure, data-driven mobility solutions, and decarbonization strategies. Collaborative projects span energy-efficient mobility systems, fleet optimization, and grid integration challenges. Professional Experience: Manager, Advanced Vehicles and Charging Infrastructure Group (2020–Present) Manager, Institutional Planning and Performance Management (2016–2020) Manager, Transportation Technology Deployment (2013–2016) Senior Manager, Transportation Fuels, Colorado Governor’s Energy Office (2011–2013) Program Director, Transportation Fuels and Radioactive Waste Transportation Office, Western Governors’ Association (2007–2011)

• Advanced Mobility/Vehicle Technologies
• Commercial Vehicle Technologies
• Electric Vehicle Grid Integration
• +2 more

Beste Basciftci is an Assistant Professor in Business Analytics at the University of Iowa's Tippie College of Business, Department of Management Sciences. Her research focuses on solving complex operational and strategic problems in energy systems, transportation networks, and predictive maintenance using advanced stochastic and robust optimization techniques. Research Areas: Business Analytics, Operations Research, Stochastic Programming, Energy Systems, Predictive Maintenance, Transportation Planning Contact: beste-basciftci@uiowa.edu Her work addresses critical challenges in multimodal transit systems, hydrogen infrastructure expansion, and energy system planning under uncertainty. Recent publications demonstrate expertise in adaptive optimization frameworks, decision-dependent ambiguity sets, and integrated maintenance/scheduling models for power systems and deep space habitats.

• Business Analytics
• Operations Research
• Stochastic Programming
• +3 more

Yad Tahir is an Assistant Professor in the Department of Computing and Informatics at the American University of Iraq Sulaimani (AUIS), specializing in Internet of Things (IoT), computer networks, and network optimization. He has published in top-tier venues like IEEE Transactions on Mobile Computing (TMC) and IEEE INFOCOM. Ph.D. in Computing from Imperial College London M.S. in Software Engineering with distinction from Heriot-Watt University B.S. in Computer Science with honors from the University of Sulaimani His research focuses on decentralized algorithms, networking protocols, and cross-layer optimizations to enhance network performance in dynamic environments. He has contributed to wireless sensor networks, resource fairness in multi-user systems, and energy-efficient data processing in IoT. Tahir's work trends emphasize mobile IoT , distributed optimization , and multi-resource fairness , with applications in routing protocols, congestion control, and systems with placement constraints. 2010 Alison Cawsey Prize (Heriot-Watt University) 2015 Intel IoT Hackathon Winner (London) He has over five years of IT industry experience, served as a research assistant in Imperial College London's AESE group, and collaborated with Intel's Collaborative Research Institute. Active in IEEE, his contact email is yad.tahir@auis.edu.krd.

• Internet of Things
• Computer Networks
• Resource Management
• +8 more

Tabitha M. Benney is an Associate Professor at the University of Utah's School of Public Affairs , with additional affiliations in the School of Environment, Society, and Sustainability, the Latin American Studies Program, and the International Studies Program. She leads the Utah Radon Lab and co-directs the Utah Energy and Power Innovation Center (U-EPIC) . Her research bridges International Political Economy and Environmental Studies , focusing on climate adaptation, energy transitions, and health disparities in marginalized communities. Education: BSFS in Foreign Service (Georgetown University, 2001) MA in International Affairs (Georgetown University, 2007) PhD in Political Science (University of California, Santa Barbara, 2013) Research Interests center on the intersection of capitalism and environmental governance, air quality disparities, and low-carbon energy policies. Her work emphasizes vulnerable populations (low-income, tribal, elderly) and urban-rural inequality. Recent Publications include studies on wildfire pollution, PM2.5 infiltration in buildings, and climate policy in emerging economies, with articles in Science of the Total Environment , Energy Policy , and WIREs Climate Change . Key themes: environmental justice , policy design , and multi-scale pollution analysis . Scientific Awards include the Distinguished Teaching Award (University of Utah, 2022), Faculty Fellow (College of Social and Behavioral Science, 2022), USTEM Collaborative Grant (2024), and multiple grants from the International Studies Association and Interdisciplinary Research Pilot Program . Grants & Leadership highlight her role in climate adaptation workshops, community-engaged research with tribal communities, and collaborations with institutions like the Earth Research Governance Network. She teaches courses in political economy , environmental policy , and research methods .

• International Political Economy
• Environmental Policy
• Energy Policy
• +6 more