Find Academic Supervisors

Craig GlennieView profile

Professor

• Kinematic Remote Sensing
• Lidar Processing
• 3D Change Detection
• +6 more

Craig Glennie is a Professor in the Civil and Environmental Engineering department at the Cullen College of Engineering , University of Houston . He serves as the Director of the National Center for Airborne Laser Mapping (NCALM) and Director of Engineering Defense Research Initiatives . His research focuses on kinematic remote sensing, lidar processing, 3D change detection, and open-source software development. Education: Ph.D. and B.Sc. in Geomatics Engineering from the University of Calgary (1999, 1996). Professional Experience: Faculty member at the University of Houston since 2010, with prior industry roles at Terrapoint USA Inc. and Aerotec LLC. Research Trends: His recent publications emphasize advancements in lidar technology, flood modeling, volcanic CO2 monitoring, and applications of machine learning to geospatial data. Notably, he has contributed to NASA's Surface Topography and Vegetation missions and developed methods for ICESat-2 data analysis. Labs & Teams: Leads NCALM, a national facility for airborne lidar data acquisition and processing, and collaborates on defense research initiatives.

Amit Kumar MishraView profile

Professor

• Machine Learning
• Radar Technology
• Synthetic Aperture Radar (SAR)
• +7 more

Amit Kumar Mishra is a Professor of Communications Engineering and Director of the National Spectrum Centre at Aberystwyth University, UK. His primary affiliation is within the Faculty of Business and Physical Sciences. He leads interdisciplinary research in radar technology, machine learning, and cognitive architectures with applications in environmental monitoring, biomedical engineering, and cybersecurity. His research interests include Synthetic Aperture Radar (SAR) imaging, AI-driven environmental sensing (e.g., agricultural monitoring, biodiversity tracking), and advanced communication systems like IRS-enhanced NOMA networks. Recent work focuses on developing symbiotic AI-human cognitive systems for attention management and sensor data assimilation in industrial environments. Over 200+ publications span journals like Sensors , IEEE Transactions , and conference proceedings. Notable collaborations include projects on oil spill detection, underwater object recognition, and patient-specific medical modeling. He co-led the SMART Expertise project (2025) focused on innovation bridging. Media highlights include reports on medical imaging applications (Coarctation of Aorta studies) and the Aberystwyth University Technology Centre's innovation initiatives. His work aligns with UN SDGs related to sustainable cities and responsible consumption patterns.

Roberto MenichettiView profile

Researcher

• Theoretical Physics
• Computational Physics
• Statistical Mechanics
• +7 more

Roberto Menichetti is a theoretical physicist at the University of Trento , affiliated with the Department of Physics and the VARIAMOLS research group . His work integrates computational physics, statistical mechanics, and machine learning to model biomolecules and soft matter systems. Prior roles include postdoctoral research at the Max Planck Institute for Polymer Research (2016-2018) and academic training at the University of Rome 'La Sapienza'. PhD in Physics (La Sapienza, 2016) BSc/MSc in Physics (La Sapienza, 2012) His research spans: Coarse-Graining Methods for polymers, colloids, and biomolecules High-throughput Molecular Dynamics Simulations in drug-membrane permeability studies Integration of Machine Learning with physical models for multi-scale analysis Applications in Biophysics (e.g., chromatin condensates, protein dynamics) Article trends highlight his focus on computational frameworks like EXCOGITO and theoretical investigations of non-equilibrium systems and allosteric regulation . He actively develops tools for systematic model reduction and conformational sampling in biomolecular systems. Contact: roberto.menichetti@unitn.it

Vivek RanadeView profile

Professor

• Process Intensification
• Chemical Reactor Engineering
• Multiphase Flows
• +6 more

Prof. Vivek Ranade is a Bernal Chair Professor of Process Engineering at the Bernal Institute, University of Limerick, and a Professor of Chemical Engineering at Queen's University Belfast. He leads research in multiphase reactors, process intensification, and sustainable energy/water technologies. His work spans applications in energy, water, and fine chemicals sectors, with contributions to industrial flow modeling, CFD, and digital twins. Education: B.Tech in Chemical Engineering (1983) and PhD (1988) from the Institute of Chemical Technology, Mumbai. Postdoctoral research at ETH Zurich (1988–1990). Served as Deputy Director at CSIR-National Chemical Laboratory (NCL) until 2016. Holds adjunct roles at the Institute of Chemical Technology and Academy of Scientific and Innovative Research. Research Interests: Multiphase flow dynamics, reactor engineering, process intensification, hydrodynamic cavitation, and sustainable technologies. Co-founded Tridiagonal Solutions and VIVIRA Process Technologies to commercialize innovations. Awards: Shanti Swarup Bhatnagar Prize (2004), Swarnajayanti Fellowship, Fellowships from IChemE, Indian National Science Academy, and multiple academies. Advising: Guided over 20 PhD students; involved in industrial collaborations and start-ups. Labs/Teams: Leads the Multiphase Reactors group at UL and QUB, and collaborates on projects like the MAGIC initiative for specialty chemicals.

Christophe RoyonView profile

Professor

• Particle Physics
• High-Energy Physics
• Collider Physics
• +3 more

Christophe Royon is a Foundation Distinguished Professor at the University of Kansas, leading research in high-energy particle physics with a focus on collider experiments at the Large Hadron Collider (LHC). His work primarily involves analyzing data from the CMS experiment to explore fundamental questions in particle physics, such as dark matter detection, Higgs boson properties, and quantum chromodynamics (QCD) dynamics. Research interests include probing new physics scenarios through precision measurements of top quark interactions, vector boson production, and jet substructure. He actively contributes to studies of heavy ion collisions to understand quark-gluon plasma behavior and gluon saturation effects. His experimental expertise spans detector calibration, systematic uncertainty quantification, and machine learning applications in data analysis. Notable achievements include the APS Award for collaboration with Brazil (2017-2018), recognizing his international research contributions. His recent publications (2024-2025) highlight advancements in measuring W boson properties, constraining Higgs Yukawa couplings, and discovering anomalous top quark pair production signals. Dr. Royon collaborates extensively with global physics communities, advancing experimental techniques for future collider projects like the Electron Ion Collider (ECCE). His work bridges theoretical predictions with experimental validation, contributing to both precision Standard Model tests and searches for physics beyond the Standard Model.

Patrick DennyView profile

Associate Professor

• Computer Vision
• Automotive Systems
• Medical Imaging
• +3 more

Patrick Denny is an Associate Professor at the University of Limerick, affiliated with the Department of Computer Science & Information Systems, the Centre for Sustainable Digital (Re)Manufacturing, and Lero – the Research Ireland Centre for Software. His research focuses on computer vision, automotive systems, and medical imaging, with notable contributions to object detection, instance segmentation, and image processing in autonomous vehicles and healthcare. He holds patents in automotive camera systems and has authored over 38 research papers. His work addresses challenges such as rain impact on automated vehicle perception, medical image classification using graph neural networks, and optimizing camera exposure for automotive applications. He collaborates extensively on projects involving V2X communications and intelligent transportation systems. Denny’s research also extends to waste management through computer vision and medical imaging innovations. Patents: Over 10 patents in automotive imaging, including systems for calibrating image-capturing devices and thermal infrared sensors. Key Research Themes: Automotive perception, computer vision algorithms, medical image analysis, and sensor optimization. He actively engages in interdisciplinary projects, combining machine learning with real-world applications in transportation and healthcare.

• Optical Metrology
• Coherent Metrology
• Holography
• +7 more

Dr. Vivi Tornari is a Research Fellow and head of the Holography laboratory at IESL/FORTH, specializing in optical metrology and cultural heritage preservation. She has held this position since 1996 and has coordinated major EU projects such as E-RIHS and CHARISMA . Her work focuses on developing holographic interferometry techniques for structural diagnosis of artworks, fraud detection, and environmental impact assessment. She holds a PhD in Applied Science from the University of Sunderland and has authored over 70 scientific publications. Education: Postdoctoral Fellow in Optical Holography, Royal College of Art (RCA), London (1990) PhD in Applied Science, University of Sunderland, UK (2009) MSc in Chemical Engineering/Material Science, National Technical University of Athens (1996) Research interests include laser-based structural analysis, speckle interferometry, and the integration of optical methods for heritage preservation. She has pioneered non-invasive diagnostic tools such as the Applied Holography Metrology Laboratory and has advised on EC projects as an evaluator. Funding highlights include: Leadership in EU projects totaling over €20M Coordinator of SYDDARTA (FP7) and CLIMATE FOR CULTURE (FP7) PI for HOLOAUTHENTIC (FP5) and LASERACT (FP6) Her publications emphasize interdisciplinary collaboration, combining optical engineering with conservation science. Key innovations include: Development of DHSPI (Digital Holographic Speckle Pattern Interferometry) Integration of thermography with interferometry for defect analysis Laser ablation studies on polymer substrates Labs/Teams: Lead the Holography Lab at IESL, collaborating with international institutions like the V&A Museum and Imperial College London. Current projects focus on European research infrastructures (E-RIHS) and climate change impacts on heritage materials.

• Environmental Biotechnology
• Wastewater Treatment Processes
• Quantum Computing Applications
• +6 more

Po-Heng (Henry) Lee is an Associate Professor in the Department of Civil and Environmental Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on wastewater engineering, environmental biotechnology, and quantum computing applications in microbial systems. He leads the Industrial Biotechnology Hub, Microbiome Network, and Quantum Engineering, Science and Technology initiatives. Dr. Lee holds a PhD from Iowa State University (2010) and earlier degrees from institutions in Taiwan. His academic career includes roles at Hong Kong Polytechnic University (2012-2018) and Inha University (2010-2012) before joining Imperial College in 2019. His research integrates quantum information theory with environmental engineering, exploring electron transfer mechanisms, anaerobic digestion optimization, and water reuse in AI/semiconductor contexts. Techniques include quantum computing platforms (IBM Qiskit, Xanadu), meta-omics, and Gaussian Bosonic Sampling. Key application areas include enhancing antibiotic and nitrogen removal via microbiome-conductive material interactions, smart chemical dosing for industrial cooling systems, and optimizing full-scale wastewater plants. His work bridges quantum mechanics and microbial ecology to address sustainability challenges. Dr. Lee's lab develops innovative solutions for resource recovery, greenhouse gas reduction, and bioplastic production. Major collaborations focus on AI-driven process control and semiconductor manufacturing wastewater treatment.

Yichuan WangView profile

Senior Lecturer

• Digital Marketing
• Healthcare Information Systems
• Big Data Analytics
• +4 more

Dr. Yichuan Wang is a Senior Lecturer in Digital Marketing at the Sheffield University Management School (SUMS). Previously, he held positions at Newcastle University Business School and Auburn University (USA). His interdisciplinary research focuses on digital marketing, healthcare information systems, and big data analytics, with over 100 publications and 6,000 citations. He co-founded the International Conference on Digital Health and Medical Analytics (since 2018) and leads industry projects enhancing healthcare quality via analytics. His teaching innovations include serious games for business ethics education, supported by an NSF grant ($200k), and he was a Fellow of the Higher Education Academy (2018). Education: PhD in Marketing from Auburn University. Research Interests: Social media & digital marketing strategies Big data analytics and AI applications Digital health and business value Sharing economy dynamics Business transformation through digitalization Awards: Nominated for Teaching Excellence Awards (2018) Fellow of the Higher Education Academy (2018) Teaching & Industry Engagement: Incorporates real-world case studies and simulation games into modules like MGT3006. Collaborates with healthcare institutions to improve care through information systems. Part of the Behavioural Research for Inclusivity, Sustainability and Technological Transformation (BRISTT) research group. Lab/Teams: Active in the BRISTT group, focusing on behavioral insights for sustainable technological adoption.

Daniel IerodiaconouView profile

Professor

• Marine Ecology
• Environmental Management
• Geology
• +6 more

Professor Daniel Ierodiaconou is a marine ecologist at Deakin University, where he serves as Professor in Marine Science and leads the Deakin Marine Mapping Group. He acts as Victorian Node Leader for the Integrated Marine Observing System (IMOS), Board Director for the Great Ocean Road Coast and Parks Authority, and Coastal Lead Scientist for the CoastRI Initiative. His work combines multi-disciplinary approaches to advance marine ecosystem-based management. Doctor of Philosophy, Deakin University Bachelor of Science (Aquatic Science), Deakin University Bachelor of Science (Fisheries Management & Aquaculture), Deakin University Daniel's research focuses on Benthic Habitat Mapping , Marine Protected Areas , and Coastal Process Monitoring . His work integrates Remote Sensing , Image Classification , and Change Detection techniques to inform marine conservation and climate adaptation strategies. Recent publications highlight advancements in Seafloor Habitat Classification , Coastal Erosion Modeling , and Seagrass Restoration . Scientific awards include: 2020 Eureka Prize for Innovation in Citizen Science 2020 Victorian Coastal Award for Innovative Applied Research 2018 Victorian Coastal Award for Partnership Research 2009 Tall Poppy Award Daniel supervises 10 current doctoral students and has advised 16 PhD completions. His grants portfolio exceeds $7 million, including a $5 million NCRIS-funded CoastRI Coastal Monitoring Network. He specializes in integrating Geospatial Technologies with Marine Conservation through his leadership in citizen science drone programs and Victoria's first wave buoy network.

• Electric Machines
• Finite Element Analysis
• Open Source Software
• +3 more

Simone Ferrari is a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino. He is a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center) and affiliated with the College of Electrical and Energy Engineering and College of Mechanical, Aerospace and Automotive Engineering as an invited member. His research focuses on electric machines, finite element analysis, and open-source software development for electromagnetic systems. He has supervised multiple PhD students in electrical engineering and has contributed to commercial consulting projects such as the design of electric motors for lifting applications and supervision of high-power motor development. Teaching responsibilities include courses on Propulsion of Hybrid and Electric Vehicles, Applied Electromagnetism, and Electrical Machines across multiple academic years. His work emphasizes multiphysics simulation, data-driven modeling, and the development of efficient traction motors for electric vehicles. Key research outputs include advancements in flux-map-based modeling, fault-tolerant motor designs, and thermal/structural scaling techniques for synchronous machines. Dr. Ferrari holds a patent for a method to identify spatial harmonic flux and torque maps without torque transducers. His recent publications (2024-2025) address challenges in electric motor efficiency, fault performance, and NVH mitigation, reflecting his commitment to advancing sustainable power electronics and clean energy technologies aligned with SDGs 7 and 9.

Wenbin LiView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +4 more

Dr. Wenbin Li is a Senior Lecturer (Associate Professor) in Robotics at the University of Bath's Department of Computer Science. He leads the Pering Laboratory (Perceptual Intelligence Laboratory), affiliated with the AI & Machine Learning and Visual Computing groups. Previously, he held postdoctoral positions at Imperial College London (2016-2018) and UCL (2014-2016), and earned his PhD from the University of Bath in 2013, with earlier degrees from Imperial College London (MSc, 2009) and Xidian University (B.Eng, 2008). His research focuses on unified autonomous systems, including multi-sensory localization/mapping, dynamic motion capture, and uncontrolled scene understanding with applications in manufacturing and professional capture. Key areas include Robotics, Computer Vision, Graphics, and Machine Learning. He actively supervises doctoral students in these fields and has funded PhD openings. Dr. Li has been involved in major initiatives such as the My World - Strength in Places Fund (2021–2027), SLAM with Reinforcement Learning (2022–2023), and the CAMERA MC2 Award (2019–2023). His work aligns with UN Sustainable Development Goals, particularly in advancing technology for societal benefit. Recent publications emphasize aerial robotics, autonomous systems, and computer vision applications, including UAV package delivery reviews, Bayesian optimization for balloon station-keeping, and generative models for intrinsic image decomposition.

• High-performance computing
• Modelling of Acoustic Wave devices
• Embedded system design
• +3 more

Dr. Glenn Matthews is a Senior Lecturer in the School of Engineering at RMIT University, specialising in Electrical and Computer Engineering. He holds positions in both academic and research capacities, including Principal Investigator roles at CSIRO and Smart Services CRC. His teaching responsibilities include coordinating undergraduate courses such as Introduction to Engineering Computing and Engineering Design modules. Dr. Matthews' research focuses on high-performance computing, acoustic wave device modeling using Finite Element Method (FEM), and embedded system design. Notable projects include developing FEM software for SAW device analysis and investigating asynchronous computing architectures for high-throughput systems. He has supervised numerous research projects spanning machine learning applications in clinical analysis, gas sensing technologies, and neuromorphic learning. His work integrates hardware-software co-design principles, with contributions to radar SLAM systems, mercury vapor sensors, and neural network frameworks like SwiftSpike. Dr. Matthews collaborates with industry partners through ARC Linkage Grants and maintains affiliations with IEEE and DSP/Embedded Systems groups. His research outputs include over 20 peer-reviewed articles, with impactful contributions to sensor technology, circuit design, and biomedical applications.

Habiba BougheraraView profile

Professor

• Biomaterials
• Biomechanics
• Additive Manufacturing
• +7 more

Habiba Bougherara is a Professor and Associate Chair of Graduate Programs in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University. Her research focuses on biomaterials, biomechanics, and advanced composites with applications in biomedical engineering and additive manufacturing. Education: PhD, École Polytechnique, 2005 MASc, École Polytechnique, 2000 Her research interests include developing bone-mimicking composite materials using natural fibers and nanocomposites, with a strong emphasis on improving orthopedic implants through 3D/4D printing and mechanical modeling. She integrates artificial intelligence and machine learning to enhance material design and performance prediction. The recent publications highlight her work in hybrid composites, fatigue analysis of plant-based fibers, mesoscale modeling, and computational biomechanics for bone remodeling. Her research bridges sustainable materials with biomedical innovation. Scientific Awards: Early Researchers Awards (ERA-MRI) Discovery Accelerator Supplements (NSERC-DAS) Dean’s Scholarly, Research and Creative Activity Awards (3) Ryerson’s Collaborative Research Award Habiba Bougherara actively supervises graduate students and leads externally funded research projects. She is involved in interdisciplinary collaborations and has secured competitive grants from NSERC and other agencies. Her lab contributes to innovation in both medical and structural applications of composites. She leads the Laboratory of Biomaterials and Biomechanics (LBB) , which focuses on experimental and computational studies of advanced materials for biomedical and engineering applications.

Mohammed ShafaeView profile

Assistant Professor

• Cyber-physical systems security
• Smart manufacturing systems
• Statistical process monitoring
• +7 more

Mohammed Shafae is an Assistant Professor in the Department of Systems and Industrial Engineering at the University of Arizona, where he has been serving since 2018. He is also a member of the Graduate Faculty, contributing to advanced research and mentorship in engineering disciplines. Education: PhD in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States MS in Production Engineering, Alexandria University, Alexandria, Egypt BS in Production Engineering, Alexandria University, Alexandria, Egypt His research centers on cyber-physical systems security , smart manufacturing systems , and data-driven quality control , with a strong emphasis on leveraging manufacturing data for process monitoring, modeling, and securing machining and additive manufacturing systems. His work integrates statistical process monitoring, machine learning, and advanced metrology to enhance manufacturing resilience and efficiency. His recent publications (2022–2025) reflect a clear trend toward securing Industry 4.0 systems, with a focus on digital twin security, attack detection in machining, and anomaly detection in additive manufacturing using photodiode and thermal data. He also explores futuristic applications such as in-situ lunar manufacturing using regolith-based materials. Scientific Awards: First Place in the ASCEND Propel Pitch Competition (AIAA, Fall 2020) Virginia Tech Teaching Excellence Award (Spring 2017) Harold Schneikert Graduate Fellowship (Spring 2016) David H. Burrows Graduate Fellowship (Fall 2015) Best Track Paper Award (IEOM 2012) Prize for Excellence in Senior Design Project (Cairo, 2009) Dr. Shafae actively mentors graduate students, co-authoring numerous publications with advisees in areas such as cybersecurity, additive manufacturing, and process monitoring. While specific grant details are not listed, his research is clearly funded through competitive fellowships and likely external grants given the volume and quality of his outputs. He has no listed labs or teams in the provided text, but his collaborative work suggests active participation in research groups focused on smart manufacturing and cybersecurity.