Find Academic Supervisors

Samer M. MadanatView profile

Professor

• Transportation Infrastructure Management
• Facility Performance Modeling
• Optimal Management Policies under Uncertainty

Samer Madanat is the Xenel Distinguished Professor of Engineering Emeritus and former Director of the Institute of Transportation Studies at UC Berkeley. He holds a Ph.D. in Transportation Systems from MIT and specializes in transportation infrastructure management with focus on facility performance modeling and developing optimal management policies under uncertainty. His research interests center on lifecycle maintenance optimization for bridge networks, pavement resurfacing policies minimizing costs and greenhouse gas emissions, and decision support systems for infrastructure planning. He has led significant research projects on network reliability and maintenance optimization under multiple constraints. Dr. Madanat received the Science and Technology grant from the University of California Office of the President in 2000 and served as Editor-in-Chief of the ASCE Journal of Infrastructure Systems from 2001-2011. His research group has included graduate students investigating large-scale infrastructure optimization challenges.

Anthony PattView profile

Professor

• Climate Policy
• Environmental Science
• Climate Change Mitigation
• +3 more

Anthony Patt is a Full Professor of Climate Policy at ETH Zurich's Department of Environmental Systems Science and Deputy Head of the Institute for Environmental Decisions. He holds a PhD in Public Policy from Harvard University, along with a Juris Doctor from Duke University and a Bachelor's in Architecture and Landscape Design from Yale. His research focuses on identifying effective governmental approaches to eliminate greenhouse gas emissions and adapt to climate change impacts. Key areas include societal processes related to consumption patterns, technology use, and modeling interactions between people, institutions, and technological systems. Patt has authored over 100 peer-reviewed articles and serves as Coordinating Lead Author for the IPCC's Sixth Assessment Report on international cooperation. He has led major projects on renewable energy policies, climate adaptation, and energy security. Notable grants include funding from the European Union, Swiss National Science Foundation, and international organizations. Patt's work emphasizes the co-benefits of climate policies, such as financial impacts on cities and energy transition strategies. His career spans academic roles at institutions like the International Institute for Applied Systems Analysis (IIASA) and Boston University, alongside contributions to policy initiatives like the EU's 100% renewable electricity roadmap. Patt's expertise bridges environmental science, policy analysis, and stakeholder engagement, addressing global challenges through interdisciplinary approaches.

• Offshore Renewable Energy
• Marine Engineering
• Coastal Structural Design
• +3 more

Dr. Rameeza Moideen is a Researcher at the University of Edinburgh's School of Engineering, affiliated with the Energy Systems Research Institute. Her work focuses on offshore renewable energy infrastructure, coastal structural resilience, and fluid-structure interaction dynamics. Research Interests Her research spans vortex-induced vibrations in marine power cables, extreme wave impacts on coastal decks, and climate change adaptation for port infrastructure. She applies advanced numerical simulations to analyze hydrodynamic forces, structural stresses, and material degradation mechanisms. Key Research Trends Recent work emphasizes lazy wave dynamic cables under varying currents (2025), focused wave impacts on bridge decks (2023-2021), and marine growth effects on tubular structures (2021). These studies combine computational modeling with real-world climate scenarios to improve offshore energy systems and coastal infrastructure durability. Awards & Grants No specific awards or grants mentioned in available texts. Research is likely funded through institutional and collaborative projects within the Energy Systems Institute. Labs & Teams Active within the Energy Systems Research Institute at Edinburgh, collaborating on offshore renewable energy projects and coastal engineering initiatives.

• Global Navigation Satellite Systems (GNSS)
• Autonomous Systems
• Sensor Fusion
• +4 more

Patrick Henkel is a Professor at the Technical University of Munich (TUM) affiliated with the TUM School of Engineering and Design and the Chair of Communication and Navigation. He holds a professorship in Satellite Geodesy under Prof. Hugentobler. His research focuses on advanced positioning technologies, including Global Navigation Satellite Systems (GNSS), autonomous systems, and sensor fusion. He develops algorithms for precise positioning in challenging environments such as urban areas, alpine regions, and indoor spaces. His work also extends to environmental applications, such as snow hydrology and climate monitoring using GNSS signals. Henkel’s contributions include innovations in real-time kinematic (RTK) positioning, UAV navigation, and multi-sensor integration for robotics and autonomous vehicles. His research is supported by collaborations with industry and academic partners, addressing both theoretical and applied challenges in geodesy and navigation. Henkel leads projects on GNSS signal processing, satellite-based environmental monitoring, and autonomous driving technologies. He has contributed to the Galileo HAS service and developed methodologies for snow water equivalent estimation using multi-frequency GNSS signals. His expertise spans hardware-software co-design for navigation systems and algorithm optimization for high-precision positioning in dynamic environments. He actively publishes in top-tier journals and conferences, with a focus on advancing the reliability and accuracy of navigation systems across various domains. His advising and grants include funding for projects on sensor fusion, UAV-based measurements, and satellite receiver development. He collaborates with teams at TUM’s Navigation Lab and the Professur für Satellitengeodäsie, contributing to both academic and industrial applications. His work on low-bandwidth RTK dissemination and laser-tracker verified UAV positioning highlights his commitment to bridging theoretical advancements with real-world implementation.

Sonali DasView profile

Lecturer

• Device Electronics
• RF and Microwave MEMS
• Solar Cells
• +3 more

Sonali Das is a Lecturer in the Department of Electrical and Computer Engineering at the University of Central Florida. She earned her Ph.D. in Electrical Engineering from the Indian Institute of Engineering Science and Technology, India, in 2017. Research Interests: Her work focuses on device electronics, RF and microwave MEMS, solar cells, phototransistors, optoelectronic synaptic and neuromorphic devices, and emerging micro-nano fabrication technologies. She investigates light-trapping mechanisms in solar cells, develops biomimetic photovoltaic structures, and explores 2D material-based memristors for neuromorphic computing. Professional Activities: Das has served as a technical reviewer for the UCF Seed Funding Program (2019), instructor for Camp Connect I and II lab tours (2017–2019), and mentor for Camp Connect III programs at UCF (2019). She is an IEEE member. Scientific Awards: GAP Award, UCF Research Foundation and UCF Office of Technology Transfer (2019) Fulbright Bhaskara Advanced Solar Energy (BASE) Fellowship (2015) Teaching: She teaches courses including Semiconductor Devices (EEE 3350), Electronics I and II (EEE 3307/4309), Linear Circuits II (EEL 3123), Electromagnetic Fields (EEL 3470), Signal Analysis & Analog Communication (EEL 3552), Linear Control Systems (EEL 3657), and Digital Systems (EEE 3342).

• Construction Safety and Risk Management
• Project Risk Assessment
• Railway and Highway Safety
• +3 more

Professor Min An is a Professor of Construction and Risk Management at the University of Salford, leading the Infrastructure Research Group within the School of Science, Engineering & Environment. He holds an honorary professorship at two overseas universities (China and Portugal) and serves on the editorial boards of 12 international journals. With over 40 years of experience, his career spans academic roles at Heriot-Watt University, Coventry University, and the University of Birmingham, alongside industry roles as a civil engineer and researcher. His research focuses on safety and risk management in construction, transportation systems, and energy sectors, with over 200 publications. Key areas include railway and highway safety, offshore oil & gas risk assessment, and nuclear reliability management. He has secured funding from EPSRC, EU, DfT, and industry partners, leading 20+ projects. Notable achievements include developing methodologies for infrastructure safety and maintaining collaborations with 30+ industrial partners. Professor An has supervised 30 PhD students and over 280 postgraduate projects, contributing to industry workshops and best practices. Awards include multiple science technology prizes and conference best paper/keynote recognitions. His teaching spans risk management, construction safety, and project management across MSc programs.

• Sensor technology
• Electrical measurement technology
• Robotics
• +2 more

Hubert Zangl is a Professor at the University of Klagenfurt and Head of the Institute for Intelligent System Technologies . He serves as Chairman of the Information Technology Curricular Commission and participates in the Faculty Conference of the Faculty of Technical Sciences. Key research areas include: Sensor technology Electrical measurement technology Robotics Signal processing Electronics Recent research trends focus on: High-fidelity FMCW radar simulation frameworks Energy-efficient sensor systems Printed electronics for structural health monitoring Uncertainty propagation in measurement science Modular robotics with secure transducer identification Capacitive tactile sensing for robotic grasping Contact: Hubert.Zangl@aau.at

Young-Jin ChaView profile

Professor

• Deep Learning
• Structural Health Monitoring (SHM)
• Autonomous UAVs
• +5 more

Dr. Young-Jin Cha is a tenured full Professor in the Department of Civil Engineering at the University of Manitoba, affiliated with the Price Faculty of Engineering. He holds a PhD from Texas A&M University and has postdoctoral experience at MIT. His research focuses on deep learning-based structural health monitoring (SHM), autonomous UAVs for infrastructure inspection, and smart transportation systems, with over 100 peer-reviewed publications and $1.2M in grants. He is a Fellow of ASCE and has received notable awards including the 2021 Merit Award and 2022 International Association of Advanced Materials Scientist Award. His work has been cited over 9,200 times globally. Research interests include automated SHM with UAVs, nonlinear system identification, unsupervised deep learning for damage detection, and sustainable infrastructure design. He serves as an editor for journals like Structural Control & Health Monitoring and Engineering Reports . His lab, the Laboratory for Infrastructure Science and Technology (LIST), develops advanced technologies for infrastructure resilience. Key achievements include pioneering deep learning-based SHM with UAVs, top-cited papers in civil engineering journals, and leadership in organizing international conferences. He actively seeks graduate students for research in AI-driven infrastructure solutions.

Kevin PipeView profile

Professor

• Thermal Sciences
• Energy
• Micro/Nano Engineering
• +3 more

Kevin Pipe is a Professor of Mechanical Engineering, Applied Physics, and Electrical Engineering at the University of Michigan’s College of Engineering, where he also serves as Associate Dean for Undergraduate Education. He holds a Ph.D. (2004) and dual bachelor's/master's degrees (1999) in Electrical Engineering from MIT. His research focuses on microscale heat transfer in electronic/optoelectronic devices, thermoelectric energy conversion, and medical thermal applications. Key projects include molecularly engineered high-conductivity polymers, phase-change materials for thermal management, and cryoanesthesia devices. His work has been featured in Wired and Phys.org , and he received the DARPA Young Faculty Award (2009) and ME Achievement Award (2008). Research collaborations include work with MSE Professor Jinsang Kim’s group on polymer thermal conductivity and computational sprinting projects with computer science partners. His lab explores thermal interfaces in high-power diode lasers, spinal cool-sensing circuits, and ultra-rapid cooling anesthesia systems. Over 60 peer-reviewed articles and patents document his contributions to thermal sciences and materials engineering. Current efforts emphasize translating lab innovations into clinical and industrial applications. Education: Ph.D. in EE, MIT (2004) M.Eng. in EECS, MIT (1999) S.B. in EECS, MIT (1999) Key Awards: Defense Advanced Research Projects Agency Young Faculty Award (2009) ME Achievement Award (2008) Lab Focus Areas: Thermal management of microelectronics Thermoelectric materials Medical thermal devices Grant activities include DARPA-funded projects and industry partnerships. His interdisciplinary approach bridges mechanical, electrical, and biomedical engineering to address thermal challenges in computing and healthcare.

Lu SuView profile

Associate Professor

• Internet of Things
• Cyber-physical Systems
• Wireless and Mobile Sensing
• +7 more

Lu Su is an Associate Professor at the School of Electrical and Computer Engineering , Purdue University , with prior appointments at SUNY Buffalo . His research spans Internet of Things , cyber-physical systems , mmWave sensing , and crowd-sourced data validation , focusing on quality-of-information aware distributed sensing and security in autonomous systems . Ph.D. in Computer Science (2013) and M.S. in Statistics (2012) from University of Illinois at Urbana-Champaign M.E. and B.E. from Harbin Institute of Technology Research Interests: IoT , cyber-physical systems , crowd sensing , security and privacy , and machine learning for sensor networks. His work addresses quality-aware information integration , adversarial attacks in autonomous vehicles , and privacy-preserving crowd-sourced systems . Recent publications focus on mmWave-based sensing (e.g., 3D pose reconstruction), federated learning (driver monitoring), and data poisoning attacks in crowd-sourced systems. His research also extends to traffic optimization and human activity recognition using wireless networks. Professional Roles: Workshop Chair (INFOCOM 2023, 2022) TPC Vice Chair (INFOCOM 2021) Program Committee Member for top conferences Editorial Board, ACM Transactions on Sensor Networks Teaching: Courses on Embedded Systems , Internet of Things , and Network Concepts at both undergraduate and graduate levels.

Chengzong PangView profile

Associate Professor

• Power Systems
• Electrical Engineering
• Control Systems
• +7 more

Chengzong Pang is an Associate Professor and MSECE Graduate Coordinator at the Department of Electrical and Computer Engineering, College of Engineering, Wichita State University. His work focuses on power systems, electrical engineering innovations, and renewable energy integration. He specializes in transient stability analysis, control systems, and smart grid technologies. Research Interests: Dr. Pang's expertise includes advanced control strategies for power electronics (e.g., PMSM, UPQC), machine learning applications for grid stability (LSTM/SVM), and energy storage solutions for renewable integration. His research also addresses challenges in microgrid operation, subsynchronous oscillation mitigation, and battery storage systems. Key Trends in Publications: Over 20 years of publications (2002–2022) emphasize: (1) Machine learning for power system analysis, (2) Control system design for renewable integration, (3) Grid stability enhancement via advanced algorithms, and (4) Smart grid infrastructure optimization. Recent works (2021–2022) highlight transient stability prediction and ANFIS-based power quality solutions. Labs/Teams: Active in energy systems research groups focusing on renewable integration and grid modernization, though specific lab names are not explicitly stated in the provided texts.

• Electrostatic Discharge (ESD) Protection
• Semiconductor Device Modeling
• RF Circuit Design
• +3 more

Prof. Juin J. Liou serves as the UCF Pegasus Distinguished Professor and Lockheed Martin St. Laurent Professor of Engineering in the Department of Electrical and Computer Engineering at the University of Central Florida, where he has held faculty positions since 1987. Education: B.S. (Honors) in Electrical Engineering, University of Florida, 1982 M.S. in Electrical Engineering, University of Florida, 1983 Ph.D. in Electrical Engineering, University of Florida, 1987 Research Focus: Prof. Liou specializes in Electrostatic Discharge (ESD) protection systems critical for integrated circuit reliability, semiconductor device modeling, and RF circuit design. His pioneering work addresses ESD challenges in next-generation technologies including silicon nanowire, organic semiconductors, and gallium nitride (GaN) devices, where miniaturization intensifies vulnerability to electrostatic damage. His research bridges theoretical modeling with practical implementation to solve industry-critical protection failures. Awards and Leadership: Ten teaching/research excellence awards from University of Central Florida Six major awards from IEEE IEEE-EDS Distinguished Lecturer Multiple honorary professorships Research Impact: Secured over $14.5 million in funding from NSF, DARPA, NASA, NIST, and semiconductor industry leaders including Intel, Texas Instruments, and Analog Devices. Authored 10 books, 270+ journal papers (18 invited reviews), and 220+ conference papers while holding 8 U.S. patents (4 pending). Served as IEEE EDS Vice-President, Treasurer, and Board of Governors member, plus editorial roles for Microelectronics Reliability and IEEE journals.

Baishakhi RayView profile

Associate Professor

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +3 more

Baishakhi Ray is an Associate Professor at Columbia University, specializing in improving software reliability and developers' productivity for both traditional and AI-driven systems. She leads the ARiSE Lab, focusing on interdisciplinary research at the intersection of software engineering and artificial intelligence. Her research interests include software testing for AI systems, adversarial robustness, automated testing of autonomous systems, and leveraging AI techniques such as neural networks for dynamic analysis and fuzzing. Notable projects include DeepTest for autonomous car testing and NEUZZ for efficient fuzzing. Awards: VMware Early Career Faculty Award (2020), IBM Faculty Award (2019), NSF CAREER Award (2019), and multiple best paper awards including EAPLS FASE (2020) and ACM Distinguished Papers (FSE 2017, MSR 2017). Grants: NSF CAREER grant (2019-2024) for deep learning testing, NSF grants for workshops and security bug detection, and collaborative grants on persistent memory and SSL/TLS implementations. Her recent work emphasizes advancing code generation with large language models (LLMs), evaluating model robustness under data contamination, and developing tools like CodeSense and CrashFixer for code semantics and kernel debugging. The ARiSE Lab also explores causal performance debugging and transfer learning for configurable systems.

Jeffrey C. SuhlingView profile

Professor

• Materials Science
• Mechanical Engineering
• Electronics Packaging
• +3 more

Jeffrey C. Suhling is the Quina Distinguished Professor and Department Chair of Mechanical Engineering at Auburn University . His research focuses on the mechanical and thermal behavior of lead-free solder alloys , particularly in automotive electronics and high strain rate applications . He has extensively studied the reliability of hybrid SAC-LTS solder joints under thermal cycling, vibration, and shock. Scientific awards : Quina Distinguished Professor His work integrates finite element modeling , microstructural analysis , and machine learning to predict solder joint failure and optimize material performance. Key areas include creep behavior , damage accumulation , and interfacial reliability in extreme environments.

• Biomechanics
• Rehabilitation Engineering
• Digital Health
• +4 more

Brian Horsak is a Professor and Head of the Center for Digital Health and Social Innovation at Fachhochschule Steyr. He holds an endowed professorship in Applied Biomechanics and Rehabilitation Research, focusing on integrating advanced technologies like VR/AR, machine learning, and wearable devices into clinical gait analysis and motor rehabilitation. His roles include leading the Institute of Health Sciences and contributing to the Department of Health Sciences and Media and Digital Technologies. Education: Dr. rer. nat. (2012, University of Vienna), Habilitation in Kinesiology (2020, University of Vienna), Master's in Sports Science (2002–2008, University of Vienna). Research interests revolve around improving patient care through biomechanical innovations, including musculoskeletal simulations, gait pattern analysis, and rehabilitation technologies. He leads projects like ReMoCap-Lab (motion capture for motor rehabilitation) and chairs the Applied Biomechanics in Rehabilitation Research initiative. Key achievements include the Lower Austria Innovation Prize (2021), multiple best paper awards, and grants for projects like TRUST AI and VReeze. His work bridges clinical practice with digital health solutions, emphasizing explainable AI (XAI) in gait classification and VR-based balance training. Notable contributions include developing the GaitRec dataset and studies on smartphone-based motion capture reliability. He collaborates internationally, publishing widely in Gait & Posture , Scientific Reports , and IEEE journals. Current projects focus on AI-driven gait analysis, musculoskeletal modeling, and XR applications in healthcare.