جست‌وجوی استاد و پژوهشگر

Arturo S. Leonمشاهده پروفایل

دانشیار

• Water Resources Engineering
• Reservoir Systems Optimization
• Multi-phase Flows
• +۵ مورد دیگر

Arturo S. Leon is an Associate Professor at the Department of Civil and Environmental Engineering, Florida International University (FIU). His work focuses on water resources engineering, reservoir optimization, multi-phase flows, and resilient flood control. He leads a research group developing innovative solutions for urban infrastructure challenges, including real-time control systems for reservoirs and stormwater management. Education: Ph.D., University of Illinois at Urbana-Champaign, 2007. Research Interests: Dr. Leon’s group pioneers computational models for hydraulic systems, such as the Illinois Transient Model. They investigate geysers in storm sewers via experimental and numerical methods, achieving landmark results with lab-replicated 30m geysers. Their work also includes IoT-enabled remote control of wetland storage systems for flood mitigation, as seen in the Automated and Remotely Controlled 6″ Siphon project. They integrate machine learning for flood forecasting and sewer overflow optimization, highlighted in frameworks like FIDLAR and EcoFLow. Awards: EPA Early CAREER Award Diplomate by the American Academy of Water Resources Engineers (D.WRE) Advancing Flood Resilience: His group’s dynamic storage management approach retrofits wetlands and detention ponds with IoT-controlled systems. They also study climate-driven urban hydrology, such as thermal comfort in tropical cities like Miami. Their patented technologies, including remote siphon control frameworks, enhance infrastructure adaptability during extreme weather events. Labs & Projects: Active in the Resilient MAST@FIU initiative and the EcoFlow project, focusing on green infrastructure for sustainable water use. Ongoing work includes AI-driven flood hazard mapping and exergo-economic optimization of energy systems.

Albert Ganمشاهده پروفایل

استاد

• Transportation Engineering
• Highway Safety
• Traffic Simulation
• +۵ مورد دیگر

Dr. Albert Gan is a Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU), affiliated with the College of Engineering and Computing. He holds a Ph.D. from the University of Florida (1996). His research focuses on transportation engineering, emphasizing highway safety, traffic simulation, intelligent transportation systems (ITS), GIS applications, transit planning, and data-driven decision-making. He has developed over 20 transportation software systems, including the Florida Transit Information System (FTIS), and secured over $19M in research funding as PI/Co-PI. Dr. Gan teaches courses like Transportation and Traffic Engineering and has advised 18 Ph.D. and 40+ M.S. students. Research Interests: Highway safety analysis and crash prediction ITS applications for real-time traffic management Data integration and visualization tools for transportation systems GIS-based transportation modeling Transit planning and service optimization Freeway operations and ramp metering strategies Awards & Mentoring: Recipient of FIU’s inaugural Dean’s Doctoral Mentorship Award. His students have won multiple Best ITE Student Paper Awards (2000, 2004, 2005). The FIU ITE Student Chapter, under his advisement, was named International Chapter of the Year five times (2001, 2004, 2005, 2007, 2008). Key Contributions: Authored/co-authored over 230 refereed papers and technical reports. Key projects include Safety Analyst implementation in Florida, evaluation of cable median barriers, and development of crash modification factor (CMF) methodologies. Active in transportation data standardization and public involvement strategies for infrastructure projects. Labs & Collaborations: Leads research at the Lehman Center for Transportation Research. Collaborates closely with Florida Department of Transportation (FDOT) and other state agencies on safety and ITS initiatives.

Kostas Magoutisمشاهده پروفایل

استاد

• Distributed computer systems
• Scalable data stream processing
• Internet of Things
• +۳ مورد دیگر

Kostas Magoutis is Professor and Chair of the Computer Science Department at the University of Crete and collaborating researcher with FORTH-ICS. His research focuses on distributed systems, scalable data processing, IoT, and cloud computing, with projects including GreenInCities for urban regeneration and STREAMSTORE for stateful stream processing systems. Research interests include: Distributed computer systems architecture Elastic stream processing platforms Quantum-enhanced computing applications Multi-cloud application lifecycle management Recent publications demonstrate strong focus on federated data systems, quantum computing applications, and IoT-enhanced infrastructure, with consistent output in high-impact conferences and journals. Awards and distinctions: Multiple best paper awards from USENIX conferences Grand Challenge Audience Award at DEBS 2022 Marie Curie Fellowship and IBM Research awards Advises over 20 PhD and MSc students in distributed systems research. Leads multiple EU-funded projects and serves on program committees for top conferences including SOSP, EuroSys, and IEEE BigData. Directs research groups in distributed systems and cloud computing at FORTH-ICS.

Truong Nghiemمشاهده پروفایل

دانشیار

• Intelligent cyber-physical systems
• Digital twins
• Scientific and physics-informed machine learning
• +۵ مورد دیگر

Truong Nghiem is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), part of the College of Engineering and Computer Science. He holds a Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania and previously served as an Assistant and Associate Professor at Northern Arizona University (2018–2024). His research focuses on intelligent cyber-physical systems, digital twins, physics-informed machine learning, and distributed optimization/control, with applications in smart buildings, autonomous vehicles, and robotics. He leads the intelligent Cyber-Physical Systems (iCPS) Lab, advancing foundational research in these areas. Notable awards include the NSF CAREER Award (2023) for composite physics-informed learning and the NSF ERI Award (2022) for building HVAC system research. He is a Senior Member of the IEEE and a member of the ACM. Recent work emphasizes safe machine learning for control systems, communication-efficient optimization algorithms, and physics-constrained motion prediction for autonomous systems. His publications span journals like IEEE Robotics and Automation Letters and conferences such as the American Control Conference. Grants and research initiatives include projects on HVAC system modeling, distributed trajectory planning for multi-vehicle systems, and adaptive sampling strategies for mobile sensor networks. Collaborations involve industry and academic partners in energy systems, robotics, and control engineering. The iCPS Lab’s work integrates theory, simulation, and real-world validation to address complex cyber-physical challenges.

Nirwan Ansariمشاهده پروفایل

استاد

• 6G Networks
• Wireless Charging
• Machine Learning
• +۵ مورد دیگر

Nirwan Ansari is a Distinguished Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT). His research focuses on cutting-edge advancements in 6G networks , wireless charging , machine learning , and Internet of Things (IoT) . He has contributed extensively to AI-driven network optimization and sustainable energy solutions for next-generation communication systems. Ph.D., Electrical Engineering, Purdue University (1988) M.S., Electrical Engineering, University of Michigan-Ann Arbor (1983) B.S., Electrical Engineering, NJIT (1982) His recent work explores AI-native network slicing , UAV-assisted edge computing , and holographic communication . Publications highlight synergies between terrestrial and non-terrestrial networks , digital twin integration, and energy-efficient IoT systems . He serves as an Honorary Chair and contributes to major conferences like IEEE INFOCOM and IWCMC.

Babak Mehranمشاهده پروفایل

دانشیار

• Transportation Network Resilience
• Big Data Analytics in Transportation
• Autonomous and Connected Vehicles
• +۴ مورد دیگر

Babak Mehran is an Associate Professor in the Department of Civil Engineering at the University of Manitoba (Price Faculty of Engineering). He holds a PhD in Civil Engineering from Nagoya University (2009). His research focuses on transportation network resilience, big data analytics, and AI-driven solutions for traffic management. He leads the Urban Mobility and Transportation Informatics Group (UMTIG), collaborating with government and industry on applied transportation research. Key research areas include autonomous vehicle integration, cold-region traffic vulnerability, and optimization of public transit systems. Dr. Mehran has advised graduate students on topics like traffic safety, sensor placement, and semi-flexible transit design. His work bridges theoretical models (e.g., reinforcement learning algorithms) with real-world applications such as winter road maintenance strategies and transit demand analysis. Recent publications emphasize AI-driven traffic prediction, climate adaptation for infrastructure resilience, and safety metrics for truck operations in harsh environments. He collaborates internationally on transportation policy and has contributed to methodologies for evaluating congestion relief strategies using travel time reliability analysis. Lab: Urban Mobility and Transportation Informatics Group (UMTIG) Key Partners: Government agencies, transportation industries, academic collaborators Current Focus: Autonomous shared mobility, cold-climate traffic systems, data fusion for traffic monitoring

Wei Shiمشاهده پروفایل

استاد

• Distributed computing
• Cloud computing
• Data center networks
• +۶ مورد دیگر

Professor Wei Shi is a faculty member at the School of Computer Science, Carleton University. His research focuses on distributed computing, cloud networks, algorithm design for sensor/actuator systems, big data analytics, and data privacy. Notable projects include federated learning optimizations, blockchain-enabled edge intelligence for IoT/vehicle networks, and AI-driven cybersecurity solutions. His work addresses challenges in dynamic resource allocation, anomaly detection, and privacy-preserving techniques. Research Interests: Distributed Computing: Optimizing federated learning and client selection algorithms for wireless networks. Blockchain & Edge Intelligence: Developing decentralized systems for IoT and vehicular networks using AI large models. Security & Privacy: Innovating methods to detect AI-generated content, combat cyber-physical attacks, and protect user data privacy. Publications: Recent works emphasize federated learning applications, blockchain integration with edge computing, and cybersecurity for vehicular/IoT ecosystems. Key themes include energy-efficient algorithms, dynamic resource allocation, and intrusion detection in constrained environments. Email: wei.shi@carleton.ca

Sophie Wilkinsonمشاهده پروفایل

استادیار

• Wildfire Ecology
• Ecosystem Management
• Peatland Conservation
• +۳ مورد دیگر

Dr. Sophie Wilkinson is an Assistant Professor at the School of Resource & Environmental Management, Simon Fraser University (SFU) since 2023. Her interdisciplinary research focuses on wildfire ecology and ecosystem management, integrating field studies, experimental fires, GIS, and ecological modeling to enhance resilience against wildfires. She holds a PhD in Ecohydrology from McMaster University, with prior degrees from the University of Leeds. Her work emphasizes understanding wildfire severity patterns and ecological tipping points in Canadian boreal forests and peatlands. Collaborating with the Canadian Forestry Service and land managers, she translates research into practical solutions, including a new fuel moisture index for wildfire danger rating systems. Key research themes include peatland ecohydrology, climate change impacts, and fire management strategies. She teaches REM 471 (Forest Ecosystems and Management) and is developing a community science platform (iWetland) for wetland monitoring. Wilkinson’s studies highlight the interconnectedness of human activities, environmental health, and wildfire dynamics. Her publications span over 30 peer-reviewed articles since 2020, addressing topics like peat burn severity thresholds, seismic line impacts on boreal ecosystems, and turtle nesting habitat recovery post-fire. She actively engages with policymakers and communities to bridge academic findings and real-world applications.

Francesc Torresمشاهده پروفایل

استاد

• Remote Sensing
• Microwave Engineering
• Space Technology
• +۴ مورد دیگر

Francesc Torres is a Full Professor at the Signal Theory and Communications Department of the Universitat Politècnica de Catalunya (UPC-BarcelonaTech). He holds a Doctor Ingeniero degree in Telecommunication Engineering from UPC (1992) and has extensive experience in microwave systems and space instrumentation. His research focuses on remote sensing, interferometric radiometry, and the European Space Agency's SMOS mission. He co-leads the Barcelona SMOS Expert Centre for radiometric calibration and ocean salinity studies. Torres has contributed to numerous ESA projects and served as a visiting scholar at NASA's Jet Propulsion Laboratory (2005-2006). His work bridges engineering education, with publications on STEM pedagogy and early-career development, and advanced instrumentation for Earth observation. Education: Ingeniero en Telecommunication Engineering (1988) Doctor Ingeniero en Telecommunication Engineering (1992) Research Interests: His primary areas include microwave radiometry, spaceborne sensors, calibration methodologies, and the application of remote sensing to geophysical studies. He also explores educational strategies to enhance critical thinking and self-management skills in STEM students. Current projects involve improving SMOS data accuracy through novel calibration techniques and developing educational frameworks for sustainable engineering practices. Grants & Projects: Key contributions include the SMOS mission calibration validation (CALIMAS team), GeoSTAR pilot project (JPL), and SuperMIRAS instrument development. He has led efforts to mitigate systematic errors in SMOS data and pioneered polarimetric analysis methods for rain events and ionospheric studies. Labs/Teams: Director of the Remote Sensing Laboratory (UPC), collaborating with ESA, JPL, and international research networks. Active in the Barcelona SMOS Expert Centre and the SMOSOps-Hexagonal initiative for operational mission improvements.

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +۱۱ مورد دیگر

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

Muhammad Intizar Aliمشاهده پروفایل

استادیار

• Data Analytics
• Internet of Things (IoT)
• Machine Learning & AI for IoT
• +۸ مورد دیگر

Dr. Muhammad Intizar Ali is an Assistant Professor in the School of Electronic Engineering at Dublin City University (DCU). He holds a PhD (with distinction) from Vienna University of Technology, Austria (2011) and has held roles including Adjunct Lecturer and Research Fellow at the Insight Centre for Data Analytics, NUI Galway. His primary research focuses on IoT, Data Analytics, Machine Learning, and Knowledge Graphs with applications in Smart Cities, Manufacturing, Farming, and Healthcare. Education: PhD in Computer Science, Vienna University of Technology (2007-2011) Research Interests: IoT and Edge Analytics Federated and Distributed Machine Learning Semantic Web and Knowledge Graphs Smart Manufacturing and Industry 4.0 Stream Processing and Real-Time Systems Recent Work Trends: His publications emphasize federated learning frameworks, IoT-enabled adaptive intelligence, and knowledge graph applications in industrial contexts. Recent projects include digital twin systems for predictive maintenance and ontology-driven manufacturing solutions. Grants & Projects: Lead Investigator in SFI-funded projects like MultiRoof (2025-2029) and Neuro-Symbolic AI for Building Management EU/Industry collaborations including Terrain-AI and Bentley-funded initiatives Labs & Teams: Active in DCU's Data Analysis and Machine Learning research groups, leading projects like Smart DCU Digital Twin for campus optimization.

• Remote Sensing
• Geographic Information Systems (GIS)
• Environmental Monitoring
• +۷ مورد دیگر

Giorgos Mountrakis is a Professor in the Department of Environmental Resources Engineering at SUNY College of Environmental Science and Forestry (ESF). His research focuses on environmental monitoring using remote sensing, environmental modeling through geographic methods, and decision support systems for ecological and urban challenges. He holds a Dipl. Eng. from the National Technical University of Athens (1998), an M.S. (2000), and Ph.D. (2004) from the University of Maine. His work integrates advanced technologies like satellite imagery, LiDAR, and machine learning to address land cover dynamics, climate impacts, and wildlife conservation. Current advisees include Atef Amriche (PhD candidate in Geospatial Information Science), Babak Haji Seyed asadollah (PhD in Environmental Resources Engineering), Ahmadreza Safaeinia (PhD in Environmental Resources Engineering), and Zhixin Wang (PhD in Geospatial Information Science). Key research themes include: land use/cover classification using deep neural networks, climate change impacts on forests and rangelands, and optimizing spatial-temporal models for large-scale environmental analysis. His projects span global datasets (e.g., Landsat, MODIS) and regional case studies in the US, Mongolia, and Algeria. Publications emphasize methodological advancements in remote sensing, such as fusion of multisensor data, accuracy assessment frameworks, and applications in biodiversity conservation. His work bridges technical innovation with practical environmental decision-making, addressing issues like urban growth prediction and wildlife-vehicle collision mitigation.

Dimitrios Zekkosمشاهده پروفایل

استاد

• Geotechnical Engineering
• Landslides
• Unmanned Aerial Vehicles (UAVs)
• +۷ مورد دیگر

Dimitrios Zekkos is a Professor of Civil and Environmental Engineering at the University of California, Berkeley, and serves as Vice Chair for Strategic Planning and Implementation. He is also Founder and CEO of ARGO-E LLC, focusing on geotechnical and geoenvironmental solutions. Ph.D., University of California, Berkeley (2005) M.S., Geoengineering, University of California, Berkeley (2002) Joint B.S./M.Eng Degree, University of Patras, Greece (2001) Zekkos specializes in infrastructure resilience, landslide analysis, earthquake engineering, and UAV/satellite-enabled geohazard reconnaissance. His work combines experimental, computational, and autonomous systems to model earth material response to static/dynamic loads. His recent publications emphasize landslide inventory statistics, gravelly soil liquefaction, MSW landfill behavior, and erosion dynamics in mountainous regions. Key themes include remote sensing integration, machine learning applications, and 3D modeling of geohazards. Outstanding Innovator Award (ISSMGE, 2015) ASCE Arthur Casagrande Professional Development Award (2012) ASCE Collingwood Prize ASCE Middlebrooks Award Zekkos leads the Center for Land-Surface Hazards (CLaSH) and has secured EPA grants for landfill methane mitigation. His research spans geotechnical, geoenvironmental, and earthquake engineering domains with a focus on autonomy-enabled data acquisition.

Javier Irizarryمشاهده پروفایل

استاد

• Unmanned Aerial Systems (Drones) in Construction
• Construction 4.0
• Reality Capture Technology
• +۳ مورد دیگر

Javier Irizarry is a Professor and Interim Chair in the School of Building Construction at Georgia Tech's College of Design. He also serves as Associate Dean for Academic Affairs and Outreach , overseeing academic programs, diversity initiatives, and recruitment efforts. As Director of the CONECTech Lab, he pioneers research in Construction 4.0 and UAV applications for infrastructure challenges. Education : Ph.D. (Civil Engineering), Purdue University Masters in Engineering Management, Polytechnic University of Puerto Rico B.S. (Civil Engineering), University of Puerto Rico, Mayagüez Research Focus : Irizarry’s work integrates cutting-edge technologies into construction, including Unmanned Aerial Systems (UAS), Reality Capture, Virtual/Augmented Reality, and Human Factors in Robotics. His lab develops frameworks for Construction 4.0 , emphasizing technology-driven solutions for safety and efficiency. Lab & Impact : The CONECTech Lab focuses on Construction 4.0 , advancing drone-based inspection systems, digital twins, and safety analytics. His research has led to over 100 publications, with applications in infrastructure monitoring, safety management, and educational tools. Leadership : As Associate Dean, Irizarry drives academic innovation and outreach, including pre-college programs and diversity strategies. He is a licensed Professional Engineer (PE) and FAA-licensed drone pilot, bridging academia and industry.

Christopher Gilliamمشاهده پروفایل

استادیار

• Signal Processing
• Radar Systems
• Sampling Theory
• +۵ مورد دیگر

Dr. Christopher Gilliam is an Assistant Professor in Applied Signal Processing at the University of Birmingham's Department of Electronic, Electrical and Systems Engineering. He holds an MEng (1st Class Hons) in Electrical & Electronic Engineering (2008) and a Ph.D. in Signal Processing (2013), both from Imperial College London. Prior to joining Birmingham in 2022, he was a Postdoctoral Fellow at The Chinese University of Hong Kong (2013–2017) and a Research Fellow at RMIT University, Australia (2017–2022). Research Interests: Sensor signal processing, radar imaging, sampling theory, motion estimation, quantum navigation, and medical imaging. Labs: Microwave Integrated Systems Laboratory (MISL). Committees: Member of IEEE Signal Processing Society and APSIPA Technical Committees. His work focuses on advancing signal processing techniques for radar systems, navigation, and medical imaging. Recent research highlights include drone-based SAR imaging, motion correction in MRI, and fusion of classical/quantum sensors for inertial navigation. He is actively supervising PhD students and contributes to projects sponsored by DSTG. Publications span radar SLAM, probabilistic navigation algorithms, and deep learning-driven medical imaging solutions. His research bridges theoretical signal processing with practical applications in autonomous systems and healthcare.