Find Academic Supervisors

• Public Health
• Environmental Health
• Vector Control
• +3 more

Avian V White serves as Assistant Professor in the Department of Health Education and Promotion within East Carolina University's College of Health and Human Performance, actively contributing to vector control research and public health initiatives through memberships in the American Public Health Association (2024-2025) and North Carolina Mosquito and Vector Control Association where they held board leadership (2023-2024). Educational background includes: DrPH in Public Health, East Carolina University M.S. in Environmental Health, East Carolina University Research integrates environmental science and public health with emphases on vector-borne disease prevention through permethrin-treated clothing evaluation, innovative mosquito control technology development, and wastewater-based epidemiology for infectious disease surveillance. Their work bridges laboratory testing, environmental monitoring, and community health applications with particular focus on occupational safety for vector control personnel and maternal health support systems. Publication trends (2021-2024) reveal three thematic clusters: environmental hydrology studies examining pollutant attenuation in coastal watersheds; vector control engineering focusing on insecticide efficacy testing methods; and applied epidemiology utilizing wastewater surveillance for campus outbreak prediction. These reflect interdisciplinary approaches connecting laboratory science, field implementation, and public health policy. Key recognition includes: Honored Instructor award from Campus Living (2022) Research leadership encompasses Principal Investigator roles for occupational hazard surveys funded by University of Kentucky (2023-2025) and Central Appalachian Regional Education and Research Center (2022-2024), alongside investigator responsibilities for Blue Cross Blue Shield of North Carolina's maternal health initiative "Birth and Bloom" (2025). These projects demonstrate strong federal and state funding partnerships addressing regional public health challenges. Through NCMVCA leadership and collaborative research networks, Dr. White drives integrated vector management strategies while expanding community-based maternal health support programs across Eastern North Carolina, maintaining active laboratory and field operations for environmental health monitoring.

Tamas I. GombosiView profile

Professor

• Planetary science
• space weather
• heliospheric and magnetospheric physics
• +7 more

Tamas I. Gombosi is the Konstantin I. Gringauz Distinguished University Professor of Space Science and the Rollin M. Gerstacker Professor of Engineering at the University of Michigan. He is a Professor in both the Climate and Space Sciences and Engineering department and the Aerospace Engineering department within the College of Engineering. Gombosi founded and directed the Center for Space Environment Modeling (CSEM) from 2001 to 2023. His educational background includes: D.Sc. in Physics from the Hungarian Academy of Sciences Ph.D. in Physics from Lóránd Eötvös University, Budapest, Hungary M.Sc. in Physics from Lóránd Eötvös University, Budapest, Hungary Gombosi is a leading space plasma physicist specializing in numerical modeling of space environments. His research focuses on developing physics-based predictive global space weather simulation frameworks extending from the solar photosphere to Earth's atmosphere. He investigates the space environments of planets and comets, plasma transport in the heliosphere, kinetic theory of gases and plasmas, and high-performance 3D MHD simulations. His work combines theoretical physics with computational approaches to model complex space phenomena. Gombosi has made numerous significant contributions to space physics, including being part of the group that first measured the directional anisotropy of ~10^14 eV galactic cosmic rays. He and his Russian colleagues were the first to establish that during solar minimum conditions, energetic electrons from the solar wind maintain Venus' nighttime ionosphere. He pioneered modern cometary plasma physics development and created the first time-dependent model of the terrestrial polar wind. Currently, he leads computational teams developing high-performance 3D MHD codes using solution adaptive grids. His recent publications show a clear trend toward integrating machine learning with physics-based space weather modeling, particularly in projects like SOLSTICE and CLEAR. These efforts focus on improving solar energetic particle forecasting and developing 'all-clear' alerts for space missions. His work demonstrates increasing collaboration across disciplines and institutions, reflecting the growing complexity of space weather prediction systems that require expertise in solar physics, plasma physics, computational science, and data science. Gombosi has received numerous prestigious awards including: John Adam Fleming Medal (AGU's highest recognition in space science) Kristian Birkeland Medal for outstanding scientific results in Space Weather Van Allen Lecturer honor from AGU AGU's inaugural Space Weather Prize Elected Lifetime Member of the International Academy of Astronautics Fellow of the American Geophysical Union Stephen S. Attwood Award (highest award of the College of Engineering) Throughout his career, Gombosi has secured substantial research funding from NASA, NSF, and AFOSR to support large interdisciplinary research efforts. He has served as Principal Investigator for multiple projects, including a joint NASA/NSF/AFOSR initiative to develop flexible modeling tools for space weather applications. His leadership extends to directing the Center for Space Environment Modeling for over two decades, fostering collaboration among faculty, students, and staff in developing next-generation space weather prediction systems. Gombosi has been deeply involved with multiple space missions as Interdisciplinary Scientist or Co-Investigator, including Cassini/Huygens to Saturn, Rosetta to comet Churyumov-Gerasimenko, STEREO to explore solar storms, and the Magnetospheric Multiscale mission. He founded and directed the Center for Space Environment Modeling (CSEM) from 2001-2023, which has been instrumental in advancing space weather modeling capabilities. His current leadership includes directing the Space Weather Operational Readiness Development (SWORD) Center of Excellence and the CLEAR Space Weather Center of Excellence.

Michael SamaView profile

Associate Professor

• Precision Agriculture
• Unmanned Aircraft Systems
• In Situ and Remote Sensing
• +1 more

Michael Sama is an Associate Professor at the University of Kentucky , with appointments in the Department of Biosystems and Agricultural Engineering and the Department of Electrical and Computer Engineering . He currently serves as the Director of Graduate Studies in Biosystems and Agricultural Engineering. Doctor of Philosophy, Biosystems and Agricultural Engineering, University of Kentucky (2013) Master of Science, Biosystems and Agricultural Engineering, University of Kentucky (2008) Bachelor of Science, Computer and Systems Engineering, Rensselaer Polytechnic Institute (2004) His research focuses on Precision Agriculture , Unmanned Aircraft Systems (UAS) , In Situ and Remote Sensing , and Embedded Control systems, often integrating drone technology with agricultural and environmental applications. The 15 most recent articles highlight his work in UAS navigation, sensor calibration, GNSS performance, and agricultural data analysis. Themes include machine learning , atmospheric monitoring , and precision spraying , with subfields spanning geospatial analysis, fluid dynamics, and livestock behavior.

Marius RosenbaumView profile

Lecturer

• Embedded Systems
• Avionics
• Flight Control Systems
• +3 more

Dr. Marius Rosenbaum is a Lecturer at the Faculty of Mathematics and Computer Science of FernUniversität in Hagen. Located in Room H113, Building 3, he teaches courses including Application-Oriented Microprocessors, Embedded Systems, FPGA programming, and seminars on Modeling/Simulation and Aviation Digitalization. His examinations are conducted in written format. Research interests focus on aviation technology and embedded systems, with emphasis on: Flight assistance systems (glide path calculation, emergency landing field detection) AI applications in avionics (neural networks for traffic forecasting) Distributed computing (Kubernetes-based neural architecture search) Sensor-based guidance systems (Lidar, multi-modal image processing) His publications (2017-2025) demonstrate strong thematic coherence around aviation safety systems, integrating computer vision, path planning algorithms, and machine learning. Recent works explore mixed reality interfaces for pilot assistance and real-time glide path optimization. He actively supervises student theses, with 2024 projects including electric skateboard control systems, flight simulator plugins, speech recognition for air traffic, and ARM processor design. Collaborative research involves colleagues like Wolfgang Schiffmann and Alexander Klos in projects spanning emergency landing systems and neural architecture frameworks.

José Manuel Olmos NogueraView profile

Assistant Professor

• Structural Engineering
• Wind Engineering
• Earthquake Engineering
• +3 more

José Manuel Olmos Noguera serves as an Assistant Professor in the Department of Civil Engineering at the School of Civil Engineering, Industrial Engineering and Aeronautics, Polytechnic University of Cartagena (UPCT), Spain. His academic appointment focuses on structural dynamics and Building Information Modeling (BIM) applications for civil infrastructure systems. Research Focus: Dr. Olmos Noguera's work centers on structural safety assessment of railway infrastructure under extreme conditions, with particular expertise in wind-structure interaction and earthquake dynamics for high-speed train viaducts. His research spans sustainable construction methodologies , BIM integration in civil engineering education, and environmental monitoring through IoT technologies. Recent projects include circular business model design for construction firms and particulate matter stratification analysis in residential buildings. Publication Trends: Analysis of his 23 publications (2011-2025) reveals three dominant research trajectories: (1) dynamic response modeling of railway bridges under wind/earthquake loads (60% of output), (2) BIM educational frameworks for civil engineering training (25%), and (3) sustainability innovations in construction processes (15%). His 2024-2025 work shows increasing integration of IoT sensors with structural monitoring and expanded application of circular economy principles.

• Vehicle Dynamics
• Powertrain Systems
• Active Safety
• +4 more

Bengt Jacobson is a Professor and group leader of the Vehicle Dynamics group at Chalmers University of Technology (Department of Vehicle Engineering and Autonomous Systems). He earned his PhD in Machine Elements from Chalmers in 1993 and was appointed Associate Professor in 1998. His industrial experience includes serving as Technical Expert at Volvo Car Corporation (2001-2010) focusing on active safety and vehicle dynamics. Jacobson holds board positions at the Swedish Vehicular Engineering Association (since 2012) and Heavy Vehicle Transport and Technology (since 2023). His research focuses on vehicle dynamics in the ground plane for passenger cars and heavy trucks, including powertrain systems, hybrid vehicles, active safety controls, tire modeling, and aerodynamic interactions. Recent work explores trajectory control, stability algorithms, energy efficiency, and human-vehicle interactions under dynamic conditions. Jacobson's 200+ publications consistently address vehicle dynamics optimization, with recent trends in MPC control validation, safety envelope definition for articulated vehicles, crosswind stability, and high-fidelity tire modeling. His group develops simulation tools like OpenPBS for assessing high-capacity transports. He leads 44+ projects involving industry partnerships (e.g., Volvo) and supervises research on electric propulsion systems, automated driving, and performance-based standards. The Vehicle Dynamics group collaborates extensively with automotive OEMs and infrastructure authorities.

• Structural Engineering
• Earthquake Engineering
• Structural Reliability and Risk
• +5 more

Yong Li is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. His research integrates mechanics-based modeling, probabilistic methods, and machine learning to address structural reliability challenges in civil infrastructure. Dr. Li's research focuses on structural dynamics , earthquake engineering , and AI-assisted structural analysis . He develops computational frameworks for probabilistic performance evaluation of bridges, buildings, pipelines, and wind turbines under seismic, landslide, and fire hazards. His work emphasizes stochastic modeling , structural health monitoring , and nonlinear system identification using field data and finite element simulations. His publication portfolio reveals a strong trend toward machine learning integration in structural engineering since 2020, with increasing focus on neural network applications for hysteretic behavior prediction and real-time thermal analysis. The research spans civil structures (bridges, masonry, steel/concrete buildings) and energy infrastructure (pipelines, wind turbines), consistently applying probabilistic frameworks to quantify uncertainty. Dr. Li leads the Structural Modeling and Reliability Analysis (SM&RA) Research Group and collaborates with The Masonry Centre and The Steel Centre at U of A. He teaches core structural engineering courses including CIVE 372 (Structural Analysis I) and CIVE 779 (Structural Reliability), mentoring graduate students in computational mechanics and risk analysis.

Matthias TescheView profile

Associate Professor

• Meteorology
• Atmospheric Science
• Climate Science
• +3 more

Matthias Tesche is a scientific staff member and group leader at the Institute of Meteorology, University of Leipzig, where he leads the Aerosols and Clouds research group since 2019. He holds the academic rank of Privatdozent after completing his habilitation in Meteorology in 2020. Prior to returning to Leipzig, he served as a Senior Lecturer and Lecturer at the University of Hertfordshire, UK. His educational background includes: Diploma in Meteorology (2006) from the University of Leipzig Doctorate in Meteorology (2011) from the University of Leipzig Habilitation in Meteorology (2020) from the University of Leipzig Tesche's research focuses on aerosols, clouds, and their interactions, utilizing active and passive remote sensing observations from ground and space. His work spans climate effects of aviation, mixed-phase clouds, and aerosol-cloud interactions in pristine environments. He employs satellite and airborne remote sensing data to study cloud microphysics and aerosol impacts on climate. His recent publications demonstrate a strong trend in using advanced remote sensing techniques to quantify aerosol-cloud interactions and their climate implications, with particular emphasis on marine and polar environments. The research often involves developing novel data sets and cloud-by-cloud analysis methods to address uncertainties in climate models. Scientific awards include: MOPGA research fellowship (2019) Tesche has secured multiple research grants from BMBF, DAAD, DFG, and EU. These projects address aerosol-cloud interactions, Arctic mixed-phase clouds, contrail properties in cirrus clouds, and photovoltaic performance forecasting. He collaborates with organizational units including Theoretical Meteorology, Atmospheric Radiation, and Arctic Climate Change at the University of Leipzig. He leads the Aerosols and Clouds research group at the Leipzig Institute of Meteorology, conducting cutting-edge observational studies on atmospheric aerosols, cloud processes, and their climate impacts using ground-based, airborne, and spaceborne remote sensing platforms.

• Acoustics
• Digital Signal Processing
• Noise Measurements
• +5 more

Dr. Carlos Andrés Ramos Romero serves as a Postdoctoral Research Fellow in Acoustics at the Acoustics Research Centre within the School of Science, Engineering & Environment at the University of Salford since 2022. He is a Member of the Institute of Acoustics (IoA), UK, and actively contributes to the EPSRC-funded DroneNoise project (EP/V031848/1) focused on UAS acoustic characterization and sound synthesis. His academic background includes: Doctoral degree in Mechanical Engineering from Universidad Politécnica de Madrid (2021), supported by Ecuadorian Government’s SENESCYT grant Master’s degree in Acoustics and Vibrations from Universidad Austral de Chile (2017) Bachelor’s degree in Sound and Acoustics Engineering from Universidad de las Américas (2011) Ramos Romero specializes in acoustics, digital signal processing, and psychoacoustics with emphasis on Unmanned Aerial Systems noise. His research bridges aeroacoustic modeling, environmental noise measurement, and human perception studies, particularly examining how drone noise characteristics influence societal acceptance in urban environments. He employs advanced techniques including AI algorithms for noise analysis and sound synthesis for psychoacoustic testing. Analysis of his 15 most recent publications (2024-2025) reveals three dominant research thrusts: (1) Development of standardized UAS noise measurement protocols aligned with EASA guidelines, (2) Creation of perceptual noise metrics integrating energy-based and psychoacoustic approaches for urban air mobility, and (3) Engineering solutions for noise reduction through propeller design optimization and distributed propulsion systems. His work consistently addresses the critical intersection of technical aeroacoustics and human response factors. No scientific awards or fellowships were documented in the provided materials. Ramos Romero collaborates extensively with regulatory bodies including the UK Civil Aviation Authority on UAS noise perception studies. His EPSRC-funded research involves designing listening experiments to establish dose-response relationships for drone noise. The Acoustics Innovation Institute at Salford serves as the primary hub for his experimental work, which includes wind tunnel testing, field measurements of urban noise sources, and development of auralization methodologies for psychoacoustic assessment. He leads the Quiet Drones 2024 conference at University of Salford, positioning his team at the forefront of UAS noise research. Current projects focus on boundary layer ingestion ducted fans, asymmetric propeller configurations, and taxonomy development for UAS noise emissions assessment within European U-space frameworks.

Ehsan Noroozinejad FarsangiView profile

Research Fellow

• Smart Resilient Construction
• Structural Engineering
• Artificial Intelligence in Construction
• +7 more

Dr. Ehsan Noroozinejad Farsangi serves as a Senior Research Fellow at Western Sydney University's Urban Transformations Research Centre, specializing in Smart Resilient Construction and Infrastructure. He directs the Resilient Structures Research Group and holds concurrent positions as Visiting Senior Researcher at the University of British Columbia, Managing Director of IRI Leeds-SEU Joint Lab at the University of Leeds, and Adjunct Associate Professor at Southeast University. His research spans critical areas including smart materials, resilience-based design, artificial intelligence applications, modular construction, and digital twins. With over 160 journal papers, 7 books, and numerous patents, his work directly addresses Australia's housing and climate crises through industrialized construction solutions and net-zero building systems. Analysis of his 2025 publications reveals strong focus on AI-driven structural monitoring, disaster-resilient infrastructure, and sustainable construction materials, with significant contributions to seismic performance, flood management, and housing affordability through modular systems. Honors include: 2022 ASCE Associate Editor Award 2020 ASCE Outstanding Reviewer Award 2019 Top 1% Reviewers in the World by Publons He actively supervises HDR candidates and leads three major research projects: Integrated Policies for Affordable and Net-Zero Housing, Managing Resilient Green Spaces in Australian Cities, and FEM-based Structural Integrity Assessment of Bridges. His media engagements with ABC News, The Guardian, and News.com.au highlight his role as a public commentator on housing and climate solutions. As Founder and Chief Editor of the International Journal of Earthquake and Impact Engineering and co-founding Editor of the Data-Centric Engineering Book Series, he shapes global discourse in resilient infrastructure.

• Electrohydrodynamics
• Nanomaterials
• Sensors and Actuators
• +3 more

A/Pr Canh-Dung Tran is an Associate Professor in Mechanical and Mechatronic Engineering at the University of Southern Queensland (USQ). He holds a PhD from USQ, an MEng from HoChiMinhUT, and a PGDipEngProc from Haute Alsace. His research focuses on electrohydrodynamics, nanomaterials, sensor technology, and computational modeling. Key contributions include innovations in self-powered sensors, electrohydrodynamic systems for drug delivery, and advanced materials for wearable electronics. Tran is affiliated with the Centre for Future Materials and the Institute for Advanced Engineering and Space Sciences. His work bridges theoretical computational methods with practical applications in healthcare, robotics, and aerospace. Notable achievements include developing carbon nanotube-based flexible electronics and ion-wind propulsion systems. His research trends emphasize interdisciplinary approaches, combining fluid dynamics with material science to create novel sensor systems and energy-efficient devices. Recent studies explore light-harvesting sensors and electrohydrodynamic nebulizers for medical use. He actively contributes to numerical methods for complex fluid simulations and multiscale modeling of polymer systems. Affiliations include leadership roles in advanced materials research centers, driving innovation in sustainable technologies and smart materials. Ongoing projects focus on expanding applications of nanomaterials in wearable health monitoring and aerospace propulsion systems.

• Renewable Energy
• Nuclear Energy
• Life-Cycle Costing and Analysis
• +5 more

Jan Emblemsvåg is a Professor at the Norwegian University of Science and Technology (NTNU) since 2020, affiliated with the Department of Ocean Operations and Civil Engineering. He holds a PhD (1999) and Master of Science (1995) from the Georgia Institute of Technology, along with a sivilingeniør in Mechanical and Industrial Engineering from Norges Tekniske Høyskole (1994). His research focuses on renewable energy (including nuclear), life-cycle costing, risk management, and lean methodologies in project-based industries. Emblemsvåg has extensive industry experience in top management roles at Vard, Rolls-Royce Marine, and Midsund Bruk. He advocates for practical, interdisciplinary research aligned with real-world applications. Key research areas include nuclear propulsion for shipping, lifecycle cost analysis, risk management under uncertainty, and sustainable energy policy. His publications emphasize critical evaluations of energy policies, nuclear power feasibility, and maritime sustainability. Recent articles address green fuels’ limitations, nuclear energy economics, and evacuation modeling for passenger ships. He has contributed to projects like NuProShip I, exploring small modular reactors for merchant ships. Emblemsvåg frequently engages in public debates on energy policy, advocating for evidence-based approaches to sustainability. His work bridges academic research and industrial innovation, emphasizing techno-economic analysis and lifecycle perspectives.

Hongbo ZhaoView profile

Assistant Professor

• Power Electronics
• Semiconductor Devices
• Medium Voltage Systems
• +3 more

Hongbo Zhao is an Assistant Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Power Electronics System Integration and Materials department. His research focuses on advanced semiconductor technologies like 10 kV SiC MOSFETs, medium-voltage power systems, and magnetic component optimization. He leads and collaborates on projects such as Listen2Battery (battery health monitoring) and Magncitor (high-permittivity magnetic materials for energy storage). Zhao has supervised four PhD students and holds a 2024 Best Paper Award for contributions to gate oscillation mitigation in SiC MOSFETs. His work emphasizes reducing parasitic capacitance and inductance in power electronics components, improving power module reliability, and advancing medium-voltage converter designs. Key projects include the development of self-powered gate drivers for SiC MOSFET stacks and low-capacitance planar transformers. Zhao's research bridges theoretical modeling and practical applications, addressing challenges in energy storage systems and high-power electronics. Research Interests: SiC MOSFET applications, magnetic component design, medium-voltage systems, power module reliability, and energy storage technologies. Key Projects: Listen2Battery: In-situ sound monitoring for lithium-ion batteries Magncitor: High-permittivity magnetic materials for capacitors Design of 10 kV SiC MOSFET-based medium-voltage converters Awards: WiPDA 2024 Best Paper Award (team recipient) Advising: Supervises PhD students in power electronics and semiconductor systems.

Jerome LynchView profile

Professor

• Structural Health Monitoring
• Cyber-Physical Systems
• Infrastructure Resilience
• +4 more

Jerome Lynch is the Vinik Dean of Engineering and Fitzpatrick Family University Distinguished Professor of Engineering at Duke University. He holds joint professorships in the Department of Civil and Environmental Engineering and the Department of Electrical & Computer Engineering. His research focuses on cyber-physical systems for intelligent infrastructure, structural health monitoring, and multifunctional nanocomposites. Lynch has led interdisciplinary initiatives to enhance infrastructure resilience through sensor integration and data analytics. Education: B.S. The Cooper Union (1997), M.S.C.E. & Ph.D. Stanford University (1998-2003) Research Interests: Developing sensor networks and AI-driven frameworks to assess infrastructure performance. His work bridges civil engineering with electrical systems, emphasizing real-time monitoring and community engagement. He pioneered methods for non-destructive evaluation of bridges, railways, and prosthetic implants. Publications reflect advancements in wireless sensor deployment, UAV-based monitoring, and smart city technologies. His work on participatory traffic control and bio-compatible sensors showcases cross-disciplinary innovation. Awards : ASCE Fellow (2021), NSF CAREER Award (2009), PECASE (2009), Henry Russel Award (2007) Lynch advises on federal climate initiatives and chairs Duke's Climate Exchange. His labs focus on urban sensing and smart infrastructure resilience. Current projects include methane measurement systems for landfills and AI-driven social space utilization analysis.

Orestis VryonisView profile

Research Fellow

• Polymer Engineering
• High Voltage Insulation
• Renewable Energy Harvesting
• +6 more

Orestis Vryonis is a New Frontiers Fellow at the University of Southampton , affiliated with the Electrical Power Engineering research group and Tony Davies High Voltage Laboratory . He holds a PhD awarded under the Marie Skłodowska-Curie Fellowship , an MSc in Polymer Science and Technology, and a BSc in Material Science. Polymer engineering and science High voltage insulation Renewable and ambient energy harvesting His recent publications focus on dielectric properties of polymer nanocomposites , thermal aging effects , epoxy resin systems , and energy storage applications . Current projects include the Horizon Europe - CABLEGNOSIS initiative for power cable diagnostics. Scientific awards include: Marie Skłodowska-Curie Fellow ITN New Frontiers Fellow He supervises PhD candidates in Electronics and Electrical Engineering and serves as a researcher in advanced material development for high voltage systems.