Find Academic Supervisors

Grant AllenView profile

Professor

• Atmospheric Physics
• Remote Sensing
• Greenhouse Gases
• +4 more

Grant Allen is a Professor of Atmospheric Physics at the University of Manchester's School of Earth and Environmental Sciences. His research focuses on atmospheric composition, greenhouse gas emissions, and remote sensing technologies, particularly using drones and aircraft. He has led multiple national and international projects, including NERC-funded initiatives such as GAUGE, MOYA, and MOMENTUM. His work integrates field measurements, satellite data, and modeling to address climate change mitigation and environmental policy challenges. Allen holds a PhD in Infrared Remote Sensing of Peroxyacetyl Nitrate from the University of Leicester (2005). He is a Fellow of the Royal Meteorological Society and actively contributes to global environmental assessments through organizations like the NERC Peer Review College. Research interests include drone-based methane quantification, Arctic methane dynamics, and shale gas environmental baselining. Key projects include developing UAV technology for regulatory monitoring and quantifying emissions from landfills, oil platforms, and biomass burning. Allen’s work has informed UK policy on methane reduction and global climate budgets. His expertise spans atmospheric physics, spectroscopy, and interdisciplinary environmental solutions aligned with UN Sustainable Development Goals.

John GrigorView profile

Senior Lecturer

• Sensory Science
• Consumer Science
• Eating Behavior
• +10 more

Dr John Grigor is a Senior Lecturer in the Department of Built Environment and Life Sciences at Abertay University, within the Faculty of Social and Applied Sciences. He holds a PhD in Sweet Taste from Reading University (1990) and has over two decades of experience in consumer and sensory science research and consultancy. Educational Background: BSc (Hons) in Food Technology, Reading University (1987) PhD in Sweet Taste, Reading University (1990) His research centers on understanding eating behavior through the interplay of physiological, psychological, and contextual factors. Key areas include hedonic responses measured via facial electromyography, dynamic sensory perception, oral processing, and the development of healthy and functional food products. He has conducted extensive work in cross-cultural food choice, particularly with industries in New Zealand and Singapore. The recent publications reflect a strong trend in sensory evaluation methodologies (e.g., TDS, fEMG), food product innovation, and the science of flavor and texture. His work spans from traditional foods like whisky and carrots to novel ingredients such as cricket flour and seaweed, demonstrating a broad and applied research scope. Scientific Awards and Esteem: Invited judge, New Zealand New Food Product Awards (2010–2013) Appointed Associate Investigator, Riddet Institute CoRE (2010) External PhD examiner for Otago, Auckland, and Southern Cross Universities Reviewer for top journals including Food Quality and Preference , Journal of Food Science Invited speaker and session chair at international conferences Dr Grigor has secured significant research funding as Principal Investigator from Interface Food and Drink, the Ministry of Business Innovation and Employment (New Zealand), and the Riddet Institute. He has supervised numerous PhD and Master’s students and collaborates widely with food industries and academic institutions globally. He has also contributed to public understanding through media appearances on TV and radio as a sensory expert.

Andrea BenigniView profile

Professor

• Energy Systems
• Power Grids
• Simulation Tools
• +5 more

Prof. Andrea Benigni is a Professor and Director at the Research Center Jülich GmbH, leading the Energy System Technology (ICE-1) department within the Institute of Climate and Energy Systems (ICE). His work focuses on advanced simulation tools for multi-energy systems, power grid optimization, and real-time control solutions. Key research areas include: Multi-energy system integration (power, gas, thermal) High-performance simulation frameworks (e.g., GasNetSim, HeatNetSim) Quantum computing applications for grid partitioning Hydrogen blending in gas networks Hardware-in-the-loop testing for control architectures PMU-based fault detection and grid resilience Benigni has pioneered open-source tools like HeatNetSim and contributed to FIWARE-based ICT platforms for building/district-level energy systems. His recent work emphasizes digital twin applications for pseudo-measurement generation and parallel simulation techniques leveraging GPUs and FPGAs. Notable achievements include: Development of MGRIT-based parallel-in-time electromagnetic simulations Optimization methods for battery sizing in multi-vector systems Quantitative analysis of high PV penetration impacts in African grids Current projects involve: Hydrogen integration strategies for Southern Italy gas networks DC microgrid communication protocols via low-frequency injection Cloud-based multi-agent systems for grid flexibility management

• Carbon Dioxide Emissions
• Fossil Fuel Emissions
• Urban Emissions Modeling
• +7 more

Kevin Gurney is a Professor in the School of Informatics, Computing, and Cyber Systems at Northern Arizona University. His work focuses on high-resolution carbon dioxide emissions modeling, urban emissions, and climate informatics. He is widely recognized for leading the Hestia project and contributing to global emission datasets. University: Northern Arizona University School: School of Informatics, Computing, and Cyber Systems Academic Rank: Professor His research interests span carbon dioxide emissions, fossil fuel and biofuel emissions, urban emissions modeling, high-resolution emission mapping, climate informatics, and environmental policy. His work integrates atmospheric science, data science, and urban planning to develop detailed carbon inventories and support climate mitigation strategies. He employs advanced techniques such as AI, machine learning, and geospatial analysis to model emissions at fine spatial and temporal scales. Recent publications (2024–2025) highlight his focus on AI-driven emission assessments, urban form impacts on CO₂, Scope 2 electricity emissions, and global fossil and biofuel inventories. His work demonstrates a strong trend toward integrating artificial intelligence with environmental monitoring and policy-relevant emission accounting at granular levels. Kevin Gurney has received extensive recognition, with over 11,969 citations and an h-index of 53. His research outputs, including 158 scholarly works and 67 datasets, are widely used and cited. His work has been featured in news outlets and social media, reflecting its societal relevance. He actively advises students and researchers in environmental informatics and carbon science, though specific names are not listed. His projects often involve interdisciplinary collaboration and external funding, supporting large-scale data generation and modeling efforts. He leads research teams focused on urban carbon systems and emission inventories. Kevin Gurney is associated with major research initiatives such as the Hestia project and CoCO2-MOSAIC, which produce high-resolution emission datasets. His lab and research teams work on integrating observational data, modeling, and policy analysis to advance urban and global carbon science.

• High-energy Astrophysics
• Gamma-ray Astronomy
• Cosmic Rays
• +3 more

Dr. Y. Uchiyama is a prominent researcher in high-energy astrophysics at RIKEN's Center for Accelerator-based Science, specializing in gamma-ray astronomy and cosmic-ray physics. As a key member of the Fermi Large Area Telescope (LAT) collaboration, Dr. Uchiyama has made significant contributions to our understanding of particle acceleration mechanisms in astrophysical environments. Dr. Uchiyama's research focuses on high-energy phenomena in our Galaxy, particularly supernova remnants, pulsar wind nebulae, and cosmic-ray interactions with the interstellar medium. Their work has been instrumental in identifying the characteristic pion-decay signature in supernova remnants, providing crucial evidence for hadronic cosmic-ray acceleration. Additional research areas include studies of starburst galaxies, relativistic jets in active galactic nuclei, and precision measurements of cosmic-ray electron spectra. The publication record reveals consistent contributions to major Fermi-LAT catalog papers and specialized studies of individual sources. The research demonstrates expertise in multi-wavelength analysis, spectral modeling, and interpretation of high-energy emission mechanisms. Recent work has focused on connecting gamma-ray observations with theoretical models of particle acceleration in extreme astrophysical environments. While specific awards aren't documented in the available records, the extensive publication record in high-impact journals and leadership roles in major collaboration papers indicate significant recognition within the high-energy astrophysics community. Dr. Uchiyama's research has advanced our understanding of cosmic-ray origins and the non-thermal universe through meticulous analysis of Fermi-LAT data.

Jocelyn ChanussotView profile

Professor

• Remote Sensing
• Hyperspectral Imaging
• Signal and Image Processing
• +4 more

Jocelyn Chanussot is a Professor at Grenoble Institute of Technology, holding the AXA Chair of Remote Sensing. He is affiliated with GIPSA-Lab (Laboratoire de traitement du Signal et des Images) at Ense3 (École Nationale Supérieure de l'Énergie, l'Eau et l'Environnement) and maintains a connection with the Chinese Academy of Sciences through his AXA Chair position. His research focuses on advancing remote sensing technologies, particularly in hyperspectral imaging and artificial intelligence applications for environmental monitoring. Professor Chanussot specializes in hyperspectral imaging, which captures information across several hundred wavelengths, allowing for detailed characterization of physical properties in observed scenes. His work develops algorithms to extract meaningful information from complex remote sensing data, with applications spanning natural disaster monitoring, environmental observation, biodiversity assessment, and urban planning. He has pioneered approaches that leverage artificial intelligence, particularly deep learning techniques, to process and analyze large-scale remote sensing datasets. His scholarly output shows a clear trend toward integrating advanced AI techniques with remote sensing data. Recent publications demonstrate growing emphasis on transformer architectures, contrastive learning, generative models, and foundation models specifically adapted for hyperspectral data. His work increasingly addresses multimodal data fusion, anomaly detection, and real-time processing for applications in natural disaster response. Ranked among the 157 most cited French researchers in 2019 by Clarivate Analytics Professor Chanussot actively serves on numerous conference program committees, particularly for SPIE's Image and Signal Processing for Remote Sensing conferences. His research is supported by the AXA Research Fund through his AXA Chair in Remote Sensing, which focuses on developing algorithms for natural disaster monitoring and emergency response. He collaborates extensively with international institutions including UCLA and Stanford University on applications ranging from toxic gas detection to tropical forest biodiversity assessment. He leads research at GIPSA-Lab, focusing on developing advanced tools and algorithms for extracting information from complex remote sensing data. His team works on processing heterogeneous data including aerial photos, multispectral and hyperspectral images, and other environmental measurements to improve natural disaster prediction and response capabilities.

Lars-André TokheimView profile

Professor

• Process Technology
• Green Cement Production
• CO2 Capture and Storage
• +6 more

Lars-André Tokheim is a Professor of Process Technology at the University of South-Eastern Norway (USN), specifically within the Faculty of Technology, Natural Sciences and Maritime Sciences at the Porsgrunn campus. He holds a PhD in Combustion from NTNU (1999) and has a BSc/MSc in Chemistry/Industrial Environmental Technology from Telemark University College. Academic roles since 2016: Professor at USN Previous roles: Associate Professor (2006-2015), Process Engineer (1998-2002) and Process Development Manager (2002-2006) at Norcem Brevik His research focuses on CO2 capture in cement production, electrification of industrial processes , and alternative fuel substitution . He supervises PhD and Master's students on projects like electrified calciners, calcium looping, and waste heat utilization. Recent publications address electrified calciner design for direct CO2 capture, fluidized bed technology for cement processes, and techno-economic analysis of CO2 capture systems. He collaborates with companies like Norcem, Heidelberg Materials, and Skagerak Energi. Key projects include: ELSE2: Electrical calciner systems for CO2 capture FIRCC: Fluidized bed particle classification Calcium looping with indirect heat transfer He also contributes to cultural projects through the Neil Young tribute band Harvest Moon and authored a book on Langesund's rock music history.

Bruno GasView profile

Professor

• Robotics
• Artificial Intelligence
• Sensorimotor Learning
• +3 more

Bruno Gas serves as a Professor at Sorbonne University, affiliated with the ASIMOV research team within the Intelligent Systems and Robotics Institute (ISIR). His academic work bridges robotics, artificial intelligence, and cognitive science through innovative investigations into sensorimotor learning frameworks for embodied agents. Gas's research centers on how naive robotic agents develop spatial and bodily representations through sensorimotor interactions, with particular emphasis on multimodal sensory integration (audition, vision, and touch). His work demonstrates how robots can autonomously construct internal models of their environment through active exploration, utilizing principles from developmental psychology and neuroscience. Key methodologies include neural network modeling, predictive processing architectures, and bio-inspired sensorimotor contingency frameworks that enable agents to learn without pre-programmed spatial knowledge. Analysis of Gas's recent publications (2013-2020) reveals consistent thematic progression in developmental robotics, focusing on the emergence of topological spatial representations, active exploration strategies, and multimodal sensor fusion. His research demonstrates how sensorimotor flow generates internal spatial models, with notable contributions including the Head Turning Modulation System for environment exploration and tactile space representation models. This work establishes critical links between robotics, cognitive science, and neuroscience through experimentally validated frameworks for embodied learning. No explicit information regarding student supervision or research grants appears in the source material, though extensive collaborative publications with researchers like Sylvain Argentieri and J. Kevin O'Regan suggest active mentorship and project leadership within the ISIR ecosystem. His publication record shows sustained interdisciplinary collaboration across European robotics institutions. Gas operates within the ASIMOV team at ISIR (Institut des Systèmes Intelligents et de Robotique), a premier robotics research unit jointly operated by Sorbonne University and CNRS. The team specializes in adaptive systems and intelligent machines, with research spanning embodied cognition, developmental robotics, and human-robot interaction. ASIMOV's experimental platforms focus on sensorimotor learning paradigms for autonomous exploration, positioning Gas at the forefront of bio-inspired robotics research in France.

Heather DeShonView profile

Professor

• Earthquake Physics
• Induced Seismicity
• Seismogenic Zone Processes
• +3 more

Heather DeShon is a Professor of Geophysics and Department Chair in the Roy M. Huffington Department of Earth Sciences at Southern Methodist University (SMU). Her research focuses on earthquake physics, induced seismicity, and seismogenic zone processes, particularly in subduction zones and intraplate faults. She holds a B.S. in Geophysics and Mathematics from SMU (1999) and a Ph.D. in Earth Sciences from the University of California Santa Cruz (2004). Her work integrates advanced seismic techniques such as local earthquake tomography, waveform cross-correlation, and InSAR data to study fault dynamics and earthquake mechanisms. Key projects include analyzing induced seismicity in Texas basins (e.g., Fort Worth, Delaware), subduction zone processes in Costa Rica and Ecuador, and volcano seismology. She leads collaborative efforts to improve seismic monitoring and hazard assessment in industrial and natural settings. Recent studies emphasize the spatiotemporal evolution of human-induced earthquakes, stress drop variations near disposal wells, and fault slip potential linked to fluid injection. She has developed high-resolution seismic catalogs and 3D velocity models to better understand seismicity patterns in oil and gas regions. DeShon’s research also explores seismogenic zone characteristics through teleseismic relocations and fault imaging. She advises on scientific communication strategies for public safety during seismic events, particularly in urban areas like Dallas-Fort Worth.

• Modeling and Simulation
• Energy System Analysis
• Vehicle Grid Integration
• +3 more

Prof. Dr.-Ing. Marco Pruckner leads the Chair of Communication Networks at the University of Würzburg since 2022, following his assistant professorship in Energy Informatics at Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022). His research focuses on energy system analysis, vehicle grid integration, and future mobility systems using modeling and simulation methodologies. University of Würzburg (2022–present) Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022) UC Berkeley (Visiting Scholar, 2020) Key research areas: Modeling and simulation of integrated energy systems Digital twin development for local energy systems Optimization of electric vehicle charging strategies Water-energy nexus analysis and sustainability metrics Recent publications (2022–2025) demonstrate expertise in: Smart charging algorithms for vehicle grid integration Heat pump electrification and seasonal performance modeling Battery state-of-health estimation techniques Multi-objective optimization for data centers and energy systems His team at University of Würzburg includes Daniel Bayer, Paul Benz, Jonas Schiller, and Leo Strobel. Methodologies combine system dynamics, discrete-event simulation, and machine learning for energy and mobility system analysis.

• Fluid Dynamics
• Turbomachinery
• Renewable Energy Systems
• +3 more

Dario Barsi holds dual appointments at the University of Genoa's Polytechnic School as a Researcher in the Department of Mechanical, Energy, Management and Transport Engineering (DIME) and a Contract Professor in the Department of Civil, Chemical, and Environmental Engineering (DICCA). He teaches graduate courses including Combustion, Fluid Machine Elements, and Hydro, Wind and Micro-Gas Turbines for Mechanical and Energy Engineering programs. His research centers on turbine aerodynamics and fluid dynamics, with emphasis on unsteady flow phenomena, secondary flows in turbomachinery, and renewable energy systems. Key investigations include purge flow interactions in turbine cavities, sealing flow effects on loss production, noise source identification in low-pressure turbines, and advanced modeling of separated flows using Bayesian optimization techniques. His work bridges experimental analysis and computational modeling to address efficiency challenges in energy conversion systems. Recent publications (2024-2025) reveal a concentrated focus on turbine flow physics, particularly unsteady loss mechanisms and separation bubble dynamics. The research demonstrates strong interdisciplinary connections between turbomachinery design, computational fluid dynamics, and renewable energy applications, with consistent collaboration among University of Genoa researchers like Biassoni, Lengani, and Simoni. No scientific awards were mentioned in the provided text. The provided text does not list any advisees, grant funding, or formal mentoring activities. Barsi serves on the Joint Teacher-Student Commission of the Polytechnic School, indicating active participation in academic governance. His research collaborations span multiple publications with University of Genoa colleagues, suggesting integration within mechanical engineering research teams focused on fluid dynamics and energy systems.

Holger M. KochView profile

Professor

• Human Biomonitoring
• Environmental Toxicology
• Exposure Assessment
• +3 more

Holger M. Koch is a Professor at the Institute for Prevention and Occupational Medicine (IPA) of the University Bochum, Germany, and an Honorary Professor at the Queensland Alliance for Environmental Health Sciences. With over 25 years of expertise in chemical exposure and risk assessment , he leads human biomonitoring research on plasticizers, bisphenols, UV filters, and pesticides, contributing to 200+ peer-reviewed publications . His work includes European Human Biomonitoring Initiative (HBM4EU) and the German Environmental Specimen Bank. Education: Doctorate in Occupational Toxicology (University Erlangen-Nuremberg, 2006) Current Role: Head of Human-Biomonitoring Laboratories at IPA since 2006 Advisory Roles: Chair of German Environment Agency's Human Biomonitoring Commission (since 2024), former U.S. CPSC Chronic Hazard Advisory Panel (2010-2015) Editorial Leadership: Co-Editor-in-Chief of International Journal of Hygiene and Environmental Health (since 2017) His research focuses on human metabolism of novel chemicals , biomarker identification , and development of sensitive analytical methods , with applications in both occupational and general population studies . Recent work includes neonicotinoid exposure in Ireland, di-n-hexyl phthalate trends in Denmark, and harmonization of European biomonitoring protocols. Key projects include the German National Surveys (GerES) , Asian Biospecimen Collection (ABC) , and EU-wide HBM4EU Aligned Studies . He develops urinary metabolite quantification techniques for exposure assessment and contributes to chemical safety regulations through advisory roles.

• Biogeochemistry
• Watershed Ecology
• Carbon Cycling
• +6 more

Alice M. Carter is an Assistant Professor at the Department of Mathematics and Statistics, Utah State University. As an ecosystem statistician and river biogeochemist, she combines empirical field research with advanced statistical modeling to study carbon cycling in aquatic systems. Research Focus Bayesian inference for watershed-scale analysis Process-guided machine learning in river energetics Time series modeling of biogeochemical fluxes Continental-scale aquatic ecosystem dynamics Key Contributions Her work addresses how local ecological controls interact with watershed-scale geomorphic constraints, particularly focusing on carbon cycling responses to environmental changes. Publications highlight innovations in process-guided deep learning approaches and hypoxia dynamics in river systems. Academic Engagement Actively mentors ecology graduate students in statistical methods and contributes to open-source research code through her GitHub repositories.

Pascale JablonkaView profile

Adjunct Professor

• Galaxy Evolution
• Dwarf Galaxy Formation
• Cosmic Web Structure
• +3 more

Pascale Jablonka is a French/Swiss astrophysicist and Adjunct Professor at EPFL's Laboratory of Astrophysics (LASTRO), affiliated with the School of Basic Sciences at École Polytechnique Fédérale de Lausanne (EPFL). She holds a doctorate in astrophysics from the University of Paris 7-Denis Diderot and has held postdoctoral and research positions at the European Southern Observatory (ESO) and CNRS, where she currently serves as Directrice de Recherche. Research Interests: Her work focuses on galaxy evolution, particularly the formation and dynamics of dwarf galaxies within the Local Group, cosmic web filamentary structures, and the chemical enrichment of the early universe. She employs both observational data from telescopes like VLT and JWST, as well as cosmological simulations, to study the baryon cycle in galaxy groups and the nature of the first stars. Scientific Contributions: Recent publications highlight her involvement in the Euclid mission's early data analysis, the Pristine Inner Galaxy Survey (PIGS), and studies on environmental quenching in galaxy clusters. Her expertise spans spectroscopic and photometric methods, including advanced image deconvolution techniques for galaxy morphology studies. Collaborations & Teaching: She collaborates with institutions like CNRS and Paris Observatory, and contributes to EPFL's educational programs, teaching courses on astrophysics and cosmology. Her research group includes multiple PhD students working on topics such as stellar metallicity gradients and galaxy dynamics.

• Exploration Geophysics
• Electromagnetic Exploration
• Electric Exploration
• +7 more

Takumi Ueda is a Professor at Waseda University 's School of Creative Science and Engineering , affiliated with the Waseda Research Institute for Science and Engineering (2024-2026). He holds a Ph.D. in Geophysics (2007) from the University of Utah and an M.Eng. in Electrical Exploration (2002) from Waseda University. Education: Ph.D. (Geophysics) - University of Utah (2007) M.Eng. (Engineering) - Waseda University (2002) B.Eng. (Science and Engineering) - Waseda University (2000) His research focuses on Exploration Geophysics and Electromagnetic (EM) Methods , particularly for marine and UAV-based geophysical surveys . Key contributions include: Developing drone-borne EM systems for buried object detection Advancing 3D holographic imaging techniques in marine CSEM Optimizing continuous wavelet transforms for MT data processing Innovating vertical electrode configurations for sub-seafloor resistivity sensing His 15 most recent publications (2006-2023) demonstrate expertise in electromagnetic exploration , inverse problem solving , and UAV applications for geophysical monitoring. Collaborative work spans institutions including the National Institute of Advanced Industrial Science and Technology (2002-2017) and the University of Utah . Professional engagements include: Leadership roles in the Physical Exploration Society (2010-present) Membership in the Society of Exploration Geophysicists and Japan Society of Computational Methods in Engineering Participation in technical committees for CCS monitoring and geophysical software development