Find Academic Supervisors

Randa L. ShehabView profile

Professor

• Engineering Education
• Cognitive Ergonomics
• Human-System Integration
• +3 more

Randa L. Shehab serves as the Senior Associate Dean for Academic Affairs and Faculty Development at the University of Oklahoma's Gallogly College of Engineering. She previously directed the School of Industrial and Systems Engineering (2006–2016) and co-founded the OU Data Science and Analytics MS Program. As a member of the Research Institute for STEM Education (RISE) and the Spaceflight Ergonomics Research Program, her work bridges engineering education equity, cognitive ergonomics, and human-system integration. B.S., M.S., Ph.D. in Industrial Engineering from the University of Oklahoma Her research focuses on advancing equality and diversity in engineering education through studies on student experiences, inclusive pedagogies, and systemic reforms. Recent projects examine leadership identity in competition teams, the impact of exclusionary cultures, and adaptive learning frameworks like Universal Design for Learning (UDL). Her 15 most recent publications highlight trends in engineering self-concept , disaster response systems , mouse-mediated interaction studies , and diversity interventions . Articles frequently address educational equity, cognitive performance metrics, and human factors in technical environments. Scientific Awards: Teaching Scholar Award, OU College of Engineering (2007) SAE Ralph R. Teetor Educational Award (2000) Shehab mentors through initiatives like the Research Institute for STEM Education and the Spaceflight Ergonomics Research Program , focusing on inclusive team dynamics and educational climate improvements. Her professional affiliations include the Institute of Industrial and Systems Engineers, American Society for Engineering Education, Human Factors and Ergonomics Society, and the Women in Engineering ProActive Network (WEPAN) Board of Directors.

• Energy Engineering
• Process Engineering
• Sustainable Energy Systems
• +6 more

Tobias Pröll is a Professor at the Institute of Process and Energy Engineering within the Department of Biotechnology and Food Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU). He specializes in energy technology, process engineering, and sustainable energy systems, with a focus on carbon capture, biomass utilization, and building energy efficiency. His work bridges industrial process optimization and climate change mitigation strategies. Education: Dipl.-Ing. in Process Engineering (1995–2001), Dr. techn. in Mechanical Engineering (2001–2004), Habilitation in Energy Process Engineering (2012) His research explores fluidized bed reactors , negative emission technologies , and smart building control systems . Recent projects include optimizing hybrid electricity storage for renewable integration and developing low-tech predictive algorithms for heat pumps. Publications emphasize CO2 capture efficiency , dual fluidized bed gasification , and urban climate resilience . He leads initiatives for net-zero energy systems and biomass valorization . Key trends in his 15 most recent articles (2023–2025) highlight advancements in chemical looping combustion , forecast-based building control , and cost-effective carbon capture . These works span disciplines like chemical engineering , renewable energy , and urban environmental science . Pröll contributes to community projects and media discussions on climate policies, including consumer-level carbon taxes and carbon-neutral technologies. His affiliations include collaborations with institutions in Austria and international conferences on sustainable energy.

• Arctic Climatology
• Remote Sensing
• Snow Hydrology
• +5 more

Alexandre Langlois is a Professor at the University of Sherbrooke specializing in Arctic cryospheric research. His work bridges geomatics, hydrology, and climate science with a focus on winter extreme events and remote sensing applications. His research interests center on Arctic snow and ice processes, particularly rain-on-snow events, extreme precipitation, and the development of remote sensing methods for quantifying surface changes in snow, sea ice, and glacier mass balance. Key areas include passive microwave radiometry, radar applications, UAV-based snow monitoring, and avalanche risk assessment. Langlois' recent publications demonstrate strong trends in Arctic climate monitoring, with emphasis on microwave remote sensing techniques for snow water equivalent retrieval, freeze-thaw cycle detection, and climate change impacts on northern ecosystems. His work frequently integrates field measurements with satellite observations and numerical modeling. Bronze Medal from Canadian Remote Sensing Society 2017 Langlois has secured substantial funding as Principal Applicant for projects including NSERC Discovery grants on Arctic winter extreme events ($225,000), CFI Innovation Fund for Arctic climate monitoring ($4.26M), and multiple FRQNT and NSS contracts for avalanche hazard assessment. His research directly supports Indigenous knowledge integration for caribou habitat conservation and operational avalanche forecasting systems. He leads the MOACC (Multidisciplinary Observatory for Arctic Climate Change) initiative and collaborates internationally with UK, Sweden, USA, and France on polar research. His lab develops specialized instrumentation including portable FMCW radars for snow stratigraphy analysis and UAV-based snow depth mapping systems.

• Power Quality Metrology
• Smart Grids
• Power Electronics
• +3 more

Andrzej Bień, PhD, DSc, Eng., is a university professor at AGH University of Science and Technology in Kraków, Poland, serving within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and specifically the Department of Power Electronics and Automation of Energy Conversion Systems . He is a member of the College of his faculty and is based at building B-1, room 120. Research Interests: Prof. Bień’s work revolves around advanced power-quality metrology , smart-grid instrumentation , and renewable-energy integration . He develops measurement techniques for harmonic analysis, islanding detection, and power system diagnostics, employing digital signal processing, embedded systems, and novel sensor technologies. His investigations span from laboratory validation of phasor-based methods to field studies on icing detection for high-voltage lines. Publication Trends: From 2020 to 2024 his output reflects a strong focus on smart-grid data analytics, PMU-based monitoring, and the impact of harmonics on metering accuracy. Earlier work (2002–2019) concentrated on flickermeter design, power theory under non-sinusoidal conditions, and hardware for non-invasive voltage measurement, illustrating a continuous evolution toward cyber-physical energy systems. Scientific Contributions & Awards: Although no specific awards are listed, Prof. Bień has contributed numerous patents (e.g., optoelectronic cables, galvanically isolated current sensors) and has been instrumental in the development of IEC-compliant flickermeters and power-quality analyzers. Contact: Email: abien@agh.edu.pl Web: http://home.agh.edu.pl/~abien/ Phone: +48 12 617 28 57

• Intelligent control
• Machine learning
• Cyber-physical systems
• +5 more

Hao Xu serves as an Associate Professor at the University of Nevada, Reno, holding the Ralph E. and Rose A. Hoeper Professorship. His research laboratory operates from SEM Building, Room 337D, with contact via haoxu@unr.edu. His research spans critical domains in intelligent transportation systems: Intelligent control and machine learning for cyber-physical systems Networked control systems and unmanned aircraft applications Power control, smart grid integration, and wireless sensor networks Recent publications (2023-2025) demonstrate concentrated expertise in roadside LiDAR applications, developing algorithms for vehicle/pedestrian detection, trajectory prediction, and safety analysis under challenging conditions including snow and heavy traffic. His work integrates deep learning with optimization techniques to enhance data processing robustness, particularly for vulnerable road user protection and near-miss event quantification. While no specific scientific awards beyond his named professorship were documented, his research directly addresses critical transportation safety challenges through innovative sensor applications and data analytics. Information regarding student advising, research grants, and laboratory infrastructure details was not provided in available materials, though his publication output indicates active collaboration with transportation agencies on smart infrastructure development.

• Biogeochemistry
• Limnology
• Paleolimnology
• +6 more

Alan Heyvaert serves as an Associate Research Professor in the Graduate Program of Hydrologic Sciences within the College of Science at the University of Nevada, Reno, while holding a primary appointment as Senior Biogeochemist at the Desert Research Institute (DRI) in Reno. His work focuses on aquatic ecosystem research with emphasis on Lake Tahoe and western U.S. watersheds. His educational background includes a Ph.D. in Ecology from the University of California, Davis (1998) and a B.A. in Molecular, Cellular, Developmental Biology from the University of Colorado, Boulder (1982). Heyvaert's research centers on biogeochemical processes in aquatic systems, particularly nutrient cycling, paleolimnological reconstruction, and watershed management. He investigates historical ecosystem changes through sediment core analysis while developing practical solutions for stormwater management and water clarity preservation. His work integrates elemental and stable isotope analyses with radionuclide chemistry to address contemporary water quality challenges in sensitive lake ecosystems. Analysis of his recent publications reveals consistent focus on Lake Tahoe's water clarity mechanisms, with growing emphasis on climate change impacts, wildfire effects, and advanced stormwater treatment technologies. The research demonstrates strong interdisciplinary collaboration across hydrology, ecology, and environmental engineering domains. As an active member of the Lake Tahoe Interagency Monitoring Program and principal investigator for the Tahoe TMDL, Heyvaert coordinates multi-agency research efforts while directing field studies on nutrient and pollutant transport. His work bridges fundamental biogeochemical research with practical watershed management applications. Heyvaert contributes to the Tahoe Science Advisory Council and leads initiatives in real-time stormwater data management, nearshore monitoring frameworks, and climate vulnerability assessments for the Lake Tahoe Basin.

Manaf ZargoushView profile

Associate Professor

• Health Policy
• Healthcare Operations Management
• Data Science
• +7 more

Dr. Manaf Zargoush serves as Associate Professor of Health Policy & Management and Associate Dean at McMaster University's DeGroote School of Business. His academic appointments span health systems research, operations management, and data-driven healthcare policy. Education: Ph.D. in Healthcare Operations and Information Management, McGill University Ph.D. in Decision Science and Statistics, ESSEC Business School M.Phil. in Decision Sciences, ESSEC Business School M.Sc. in Socio-Economic Systems Engineering, Sharif University of Technology B.Sc. in Mechanical Engineering, Jundi-Shapoor University His research integrates data science and stochastic optimization to solve healthcare challenges, with focus areas including chronic disease management (hypertension/diabetes), aging research (disability trajectories, ALC), and causal analytics. Current projects leverage machine learning for personalized medication prescription, climate-resilient elderly care, and hospital discharge optimization. His work bridges operations research with clinical implementation through predictive-prescriptive analytics frameworks. Recent publications demonstrate strong trends in gerontechnology applications (wearable monitoring), health equity analysis (care fragmentation), and pandemic response systems . Key thematic clusters include: aging population health modeling, climate-health intersections, and AI-driven clinical decision support systems across 15 high-impact publications from 2023-2025. Teaching Portfolio: Decision Analysis for Healthcare (BUSADMIN BL718) Analytics and Decision Making in Healthcare (BUSADMIN C755) Operations Management (BUSADMIN O650) Research Issues in Health Management (BUSINESS C783) Dr. Zargoush actively leads interdisciplinary research through McMaster's health analytics initiatives, with current projects examining climate impacts on elderly care infrastructure and machine learning applications for hospital discharge optimization. His work connects mathematical modeling with real-world healthcare policy implementation.

Oliver FuhrerView profile

Lecturer

• high-resolution numerical weather prediction
• atmospheric dynamics over complex terrain
• high-performance computing
• +1 more

Oliver Fuhrer is Lecturer at the Department of Environmental Systems Science, ETH Zurich, a role he has held since 2010. Concurrently, he is head of the Numerical Prediction unit at the Federal Office of Meteorology and Climatology MeteoSwiss, where he drives innovation and operational excellence in numerical weather-prediction models. Education: Ph.D. in Atmospheric Dynamics, ETH Zurich Studies in Environmental Physics, Department of Natural Sciences, ETH Zurich Research interests revolve around understanding and predicting the weather-climate system. His work emphasizes high-resolution numerical weather prediction , the intricate atmospheric dynamics over complex terrain , and the high-performance computing infrastructures required to run state-of-the-art models. He has been instrumental in establishing HPC-focused atmospheric modeling initiatives within the Center for Climate Systems Modeling (C2SM). Although no specific publications are listed in the provided material, his extensive authorship and co-authorship in peer-reviewed journals—coupled with service as reviewer for major funding agencies—demonstrates sustained scholarly impact. Professional roles & affiliations: Lecturer, Department of Environmental Systems Science, ETH Zurich (since 2010) Head, Numerical Prediction Unit, MeteoSwiss Former Senior Director for Climate Modeling, Allen Institute of Artificial Intelligence Former Research Associate, École Polytechnique Fédérale de Lausanne (EPFL), Institute of Environmental Engineering Former Research Associate, ETH Zurich, Institute of Atmospheric and Climate Science Member, Center for Climate Systems Modeling (C2SM) Dr. Fuhrer spearheads interdisciplinary teams that bridge academic theory with operational meteorology, ensuring that cutting-edge research translates into reliable forecast products for Switzerland and beyond.

Valeriia LiakhView profile

Research Fellow

• Solar Physics
• Astrophysics
• Solar Prominences
• +3 more

Valeriia Liakh serves as a Postdoctoral Fellow at the Rosseland Center for Solar Physics within the University of Oslo's Faculty of Mathematics and Natural Sciences. Her research is centered on solar atmospheric dynamics, specifically investigating interactions between solar flares and prominence structures through theoretical and observational approaches. Her primary research interests include solar prominences, flare-induced oscillations, magnetohydrodynamics (MHD), and space weather phenomena. She examines how energy from solar flares propagates through the Sun's atmosphere, triggering large-amplitude oscillations in prominences—cool, dense plasma structures suspended in the corona. This work integrates advanced computational modeling with observational data to unravel the complex coupling between different solar atmospheric layers and its implications for space weather forecasting. Dr. Liakh's 2024 publication in Astronomy and Astrophysics demonstrates her focus on prominence-flare interactions, revealing excitation mechanisms for large-amplitude oscillations. Her research spans multiple sub-disciplines including solar activity cycles, coronal heating, MHD wave propagation, and transient solar events. These studies contribute to broader astrophysical understanding of stellar atmospheres and plasma behavior under extreme conditions. She operates within the Rosseland Center for Solar Physics—a dedicated research hub named after Norwegian astrophysicist Svein Rosseland—collaborating with international teams on solar observation campaigns and theoretical modeling initiatives focused on stellar magnetic activity.

• Remote sensing
• Evapotranspiration
• Hydrologic modeling
• +12 more

Dr. Justin Huntington is a Research Professor of Hydrology at the Desert Research Institute (DRI) in Reno, Nevada, with a joint affiliation in the Graduate Program of Hydrologic Sciences at the University of Nevada Reno. His work focuses on remote sensing applications for water resource management, particularly in arid and semi-arid regions of the western United States. Education: Ph.D. in Hydrologic Sciences, University of Nevada Reno (2011) M.S. in Hydrologic Sciences, University of Nevada Reno (2003) B.S. in Environmental Sciences/Hydrology, University of Nevada Reno (2000) Huntington's research spans remote sensing, evapotranspiration, irrigation, drought, hydrologic modeling, and groundwater-dependent ecosystems. He develops operational tools using satellite data (particularly Landsat) and cloud computing platforms like Climate Engine to translate scientific findings into water management applications. His work emphasizes stakeholder engagement to address real-world challenges in water rights, climate change impacts, and consumptive use estimation. As a member of the 2018-2023 Landsat Science Team, he contributes to advancing earth observation capabilities for hydrologic applications. Recent publications reveal a strong trend toward integrated remote sensing approaches for continental-scale water monitoring, with significant focus on OpenET satellite-based evapotranspiration products, reservoir evaporation modeling, and groundwater-surface water interactions. His research demonstrates increasing integration of machine learning, multi-sensor data fusion, and field-scale applications to address water scarcity in the western U.S. His projects receive primary funding from the U.S. Bureau of Reclamation, U.S. Geological Survey, U.S. Bureau of Land Management, NASA, western state water agencies, and private sector partners. Huntington actively collaborates with federal, state, and tribal entities including the Navajo Nation on drought monitoring initiatives. Based in DRI's Division of Hydrologic Sciences, Huntington leads research teams developing operational tools like Climate Engine for cloud-based analysis of climate and remote sensing data. His group maintains strong partnerships with water management agencies across the western U.S. to implement satellite-derived water use data in operational decision-making contexts.

Jerome ChenevezView profile

Associate Professor

• X-ray Astrophysics
• High-energy Astrophysics
• Neutron Star Physics
• +10 more

Jerome Chenevez is an Associate Professor at the Department of Space Research and Technology , Technical University of Denmark. His research specializes in X-ray astrophysics , particularly observational and theoretical studies of thermonuclear X-ray bursts from accreting neutron stars in low-mass X-ray binaries. He supervises projects like the three-dimensional geometry of transients related to gravitational waves and leads the Long X-ray burst monitoring with INTEGRAL program. Principal Investigator for the JEM-X instrument onboard ESA’s INTEGRAL satellite Co-Investigator for the NICER and NuSTAR Science Teams Danish representative for the EU COST action PHAROS and former deputy for NewCOMPSTAR Education includes a PhD in Geophysics (1996) and an MSc in Astrophysics (1993), both from Montpellier University, France. His research interests span high-energy astrophysics , numerical modelling , scientific data analysis , and cross-disciplinary work in meteorology (air pollution) and geophysics (plate tectonics). Recent publications focus on neutron star X-ray bursts , magnetar flares , and accretion disk interactions , with datasets like the MINBAR archive and unusually long X-ray burst catalogues . He teaches courses including Astrophysical Data Analyses and Observational X-ray Astrophysics , and contributes to public outreach on cosmic phenomena , including lectures like “A Journey Through Stars” (2024). Collaborations include institutions across France, Italy, and the U.S., with ongoing leadership in INTEGRAL follow-up of gravitational wave events since 2014.

• Statistics
• Meteorology
• Econometrics
• +4 more

Dr. Annette Christine Möller is a Professor at Bielefeld University's Faculty of Economics, where she leads the Chair of Data Science and is affiliated with the Department of Empirical Methods. She serves as a key researcher at the Bielefeld Center for Data Science (BiCDaS). Her contact information includes email (annette.moeller@uni-bielefeld.de) and phone (+49 521 106-4877). Her research focuses on: Developing statistical methods for weather forecast post-processing Copula-based modeling of multivariate dependencies Ensemble forecasting for climate risk mitigation Applications in renewable energy prediction Statistical computing and open-source tool development Her publication record (2019-2025) demonstrates strong emphasis on: Probabilistic weather forecasting techniques Vine copula applications in meteorology Statistical calibration of ensemble models Interdisciplinary work spanning climatology, epidemiology and education She leads significant research grants including: DFG project: 'Statistical post-processing of ensemble forecasts' (2018-2024) DFG project: 'Mitigating climate risks via copula-based forecast improvement' (2024-2026) She collaborates with the Technical University of Munich and maintains active research teams focused on statistical meteorology and climate informatics.

Stephanie HendersonView profile

Assistant Professor

• Subseasonal to Seasonal Variability
• Tropical-Extratropical Interactions
• Global Teleconnections
• +5 more

Stephanie Henderson serves as Assistant Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin-Madison, where she leads research bridging weather forecasting and climate prediction through subseasonal-to-seasonal (S2S) variability studies. Her work addresses the critical predictability gap between synoptic weather systems and seasonal climate patterns, with direct implications for food security, public safety, and economic planning. Education: PhD in Atmospheric Science from Colorado State University Research Focus: Dr. Henderson specializes in tropical-extratropical interactions and global teleconnections , with particular expertise in the Madden-Julian Oscillation (MJO) and atmospheric blocking phenomena. Her methodology integrates observational analysis , numerical modeling , and statistical techniques to unravel how subseasonal processes (2-8 weeks) influence midlatitude weather extremes. Current projects examine MJO impacts on South American precipitation, Northeast Pacific blocking dynamics, and Arctic moisture intrusions. Publication Trends: Recent work (2022-2025) reveals intensifying focus on MJO teleconnection mechanisms across diverse regions, with growing emphasis on polar atmospheric rivers and climate change impacts on subseasonal predictability. Her research increasingly leverages satellite observations (e.g., PREFIRE mission) and addresses practical forecasting applications for extreme weather events. Research Environment: She directs the Subseasonal to Seasonal Variability group, utilizing resources including NOAA PSL SST monitoring, IRI ENSO forecasts, and CIMSS weather portals. The group maintains active collaborations with federal agencies to translate fundamental research into operational forecasting improvements for North American weather extremes.

• Electrical engineering
• Electronics, sensors and digital hardware
• Distributed computing and systems software
• +6 more

Masood Parvania is the Roger P. Webb Endowed Professor at the University of Utah in Electrical and Computer Engineering. He serves as Director of the Utah Smart Energy Laboratory (U-Smart) and Co-Director of the NSF WIRED Global Center . His research focuses on mathematical optimization , control theory , and machine learning applications in power system operation, resilience, and interdependent infrastructure modeling. His work addresses critical challenges including: Equity-aware grid restoration Climate-resilient energy systems Cyber-physical security analysis Hybrid energy storage coordination Extreme heat event mitigation strategies Key research trends across his 15 most recent publications reveal deep integration of: Renewable energy with storage systems Machine learning in real-time grid operation Cybersecurity frameworks for critical infrastructure Equity metrics in energy distribution Honors include: IEEE Outstanding Associate Editor Award (2022) University of Utah Presidential Scholar (2020) IEEE Utah Section Outstanding Educator Award (2017) Multiple Best Reviewer and Distinguished Service Awards As Associate Editor for IEEE Transactions on Power Systems , he actively shapes energy research discourse while leading NSF-funded initiatives like: U.S.-Canada Climate-Resilient Grid Center ($90M+ Western EV Infrastructure Scale-Up Wasatch Multi-Modal Corridor Electrification

• Control Engineering
• Automation
• Marine Icing
• +5 more

Sushmit Dhar serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway, focusing on control engineering and automation solutions for Arctic maritime challenges. His work bridges theoretical control methods with practical applications in extreme environments. His research spans: Classical and modern control methods (PID, LQR, MPC) State estimation and Kalman filtering Physics-Informed Neural Networks and Reinforcement Learning for decision support IoT-based automation for maritime operations Marine icing phenomena and sea spray measurement Recent publications demonstrate cutting-edge work in marine icing prediction using LiDAR and capacitive sensors, Arctic road safety systems, and optimization of maritime operations. His research integrates advanced sensing technologies with data-driven modeling to address safety challenges in cold climates, particularly through sea spray measurement innovations and route planning algorithms for fishing vessels and search-and-rescue operations. Dr. Dhar actively contributes to collaborative initiatives: Member of the Sustainable Technology and Safety (STS) research group Member of the IR, Spectroscopy, and Numerical Modelling Research Group Key participant in the SPRICE project (Multidisciplinary approach for spray icing modelling and decision support) His teaching portfolio includes foundational courses in Linear Systems (AUT-2604) and Control Engineering (AUT-2801) for Automation Engineering undergraduates, preparing students for technical challenges in Arctic engineering contexts.