Find Academic Supervisors

• Augmented Reality
• Information Overload
• Natural Language Processing
• +5 more

Rui Miguel Pascoal is an Associate Researcher at ISTAR-Iscte (Information Sciences, Technologies, and Architecture Research Center) at ISCTE - University Institute of Lisbon, specializing in Software Systems Engineering. His research spans multiple domains within computer science and information technology. His primary research interests include Augmented Reality systems (particularly for outdoor sports environments), Information Overload reduction, Natural Language Processing, Activity Recognition, and IPv6 network technologies. His work consistently addresses challenges in mobile pervasive augmented reality systems, with a strong focus on user experience optimization and technical implementation. His publication record shows significant trends in mobile augmented reality systems (2017-2025), IPv6 adoption in educational and IoT contexts (2022-2025), and gamification in higher education (2025). His research demonstrates consistent evolution from foundational mobile AR work toward more specialized applications in sports environments and network infrastructure. Key scientific contributions include: Development of Mobile Pervasive Augmented Reality Systems (MPARS) framework Research on information overload reduction using machine learning IPv6 implementation studies for IoT and educational infrastructure Cybersecurity analysis for smart city transport systems His professional experience includes collaborations with Hewlett-Packard, IBM, and CTT in areas including UNIX/NT servers, mainframe operations, identity management systems, business intelligence, and enterprise information systems. His academic background combines theoretical research with practical industry experience. He has presented research at numerous international conferences including ACM UbiComp/ISWC, CISTI, and INForum, with publications appearing in IEEE Access (Q1), ACM Transactions on Internet Technology (Q1), and various book chapters and conference proceedings.

• Analytical Scanning Transmission Electron Microscopy
• Heterogeneous Catalysis
• In-Situ Transmission Electron Microscopy
• +5 more

Henrik Eliasson is a doctoral researcher at the Electron Microscopy Center of ETH Zürich , focusing on atomic-scale characterization of heterogeneous catalysts. His work bridges Scanning Transmission Electron Microscopy (STEM) , Electron Energy-Loss Spectroscopy (EELS) , and Machine Learning to study metal-oxide supported nanoclusters and their chemical, structural, and electronic interactions. PhD Student since 2021 at ETH Zürich Former Process Engineer at SweGaN (2021) Master of Science in Applied Physics and Electrical Engineering from Linköping University (2021) His research explores CO2 hydrogenation to methanol , polyethylene recycling , and nanostructure stability under reactive environments. He develops generative AI models for nanoparticle size estimation and in situ TEM methodologies to track dynamic catalyst behavior. His publications emphasize atomic-scale imaging , environmental catalysis , and computational efficiency in materials analysis.

Shahaboddin ResalatiView profile

Associate Professor

• Sustainable Architecture
• Building Physics
• Life Cycle Assessment
• +12 more

Dr Shahaboddin Resalati is a Reader in Sustainable Architecture at the School of Architecture, Oxford Brookes University, where he leads the Architectural Engineering Research Group and serves as the interim Research Lead. His work bridges academia and industry, with strong collaborations across Europe and the UK construction sector. His research focuses on Building Physics, Sustainable Architecture, Life Cycle Assessment, Circular Economy, and advanced building materials . He investigates thermal performance, energy efficiency, and environmental impacts of construction technologies, particularly vacuum insulation panels (VIPs), building-integrated photovoltaics, and second-life battery systems for buildings. Recent publications reveal a consistent trend in life cycle assessment of solar technologies , thermal performance optimization , and reuse of energy systems in buildings . His work combines experimental, modeling, and industrial application approaches, often in collaboration with major European research consortia. Principal Investigator, INNOVIP (H2020, €330k to OBU) CO-I, HAIR (RFCS, €194k to OBU) CO-I, UK Space Agency project (£15k) Lead Academic, SolMates (€251k to OBU) Lead Academic, Disruptive Kesterites (€172k to OBU) Lead Academic, PowerSkin Plus (€305k to OBU) Dr Resalati supervises PhD and MSc students and has led the development of bespoke training for the UK cladding sector. He is a member of the Energy Institute and serves as an expert evaluator for the EU H2020 programme. He is affiliated with the Oxford Institute for Sustainable Development (OISD) and leads impactful research with industry partners such as Tata Steel, Berkeley Homes, and Fusion Building Systems.

• Electrical Engineering
• Renewable Energy Systems
• Control Systems
• +3 more

M. Elmorshedy is an academic researcher specializing in Electrical Engineering and Renewable Energy Systems , with a focus on Control Systems , Power Electronics , and Hybrid Energy Optimization . His work often involves collaborations with co-authors like D. Almakhles, Kotb M. Kotb, and S. M. Allam. Elmorshedy's research spans applications in Photovoltaic Systems , Wind Energy , and Model Predictive Control for inverters and electrical drives. He has contributed to advancements in Seventeen-Level Switched Capacitor Inverters and Hybrid Renewable Energy Systems for residential and microgrid contexts. Recent publications highlight trends in Power System Optimization , Grid Integration , and Emission Reduction through innovative control strategies. Key collaborations include studies on Linear Induction Motors and PMSG Control under unbalanced conditions.

• Electrical Machines
• Power Electronics
• Electric Drives
• +3 more

Eric Giacomo Armando is a Full Professor at the Department of Energy (DENERG) within the College of Electrical and Energy Engineering at Politecnico di Torino. He serves as a member of the Power Electronics Innovation Center (PEIC) and leads the PEEMD research group. Research Interests: Electrical Machines Power Electronics Electric Drives Energy Conversion Sustainable Motor Drive Systems Wide Bandgap Semiconductors Recent Publications focus on GaN converter technologies, flux control algorithms, thermal management via 3D-printed heatsinks, and fault tolerance in multi-phase motors. His work appears in IEEE ECCE, APEC, and industry applications journals. Supervised Students: Stefano Savio (PhD, ongoing, researching GaN multilevel inverters for motorsport) Enrico Vico (completed PhD, focusing on overcurrent protection for GaN semiconductors) Projects: Includes EU-funded E-motors, PNRR SEMDY, and commercial contracts with HBM Italia Srl and Servotecnica SpA. He holds multiple national/international patents in traction inverters and battery chargers.

• Energy analysis
• Energy communities
• Energy efficiency
• +7 more

Romano Borchiellini is a Full Professor in the Department of Energy (DENERG) at the Polytechnic University of Turin, Italy, serving as Rector's Representative for the Energy Center and Coordinator of the Interdepartmental Center Ec-L - Energy Center Lab. His academic work spans energy systems engineering with significant contributions to both theoretical research and practical applications in sustainable energy and safety engineering. Professor Borchiellini's research focuses on energy analysis, energy communities, energy efficiency, fire safety, and tunnel ventilation systems. His work bridges fundamental thermal engineering with practical sustainability applications, particularly in urban energy systems and transportation infrastructure. He has developed expertise in industrial technical physics with applications ranging from renewable energy communities to tunnel safety engineering, aligning with multiple UN Sustainable Development Goals including affordable clean energy, industry innovation, sustainable cities, and climate action. His recent publications demonstrate a clear research trajectory toward decarbonization strategies, renewable energy integration, and safety considerations for emerging energy technologies. The publications reveal increasing focus on hydrogen technologies, battery safety systems, and advanced ventilation solutions for transportation infrastructure, reflecting evolving energy transition challenges. His work consistently connects engineering fundamentals with practical sustainability applications across multiple sectors. Professor Borchiellini has supervised PhD students including Roberto Paglini (focusing on methane emission reporting) and Azad Hamzehpour (researching water mist systems for fire applications). He has secured numerous research grants from competitive calls, regional funding programs, national PRIN projects, and corporate partnerships, demonstrating strong research leadership and funding acquisition capabilities across multiple domains. He leads the Research Group M3ES within DENERG and coordinates the Energy Center Lab at Politecnico di Torino, which serves as an interdisciplinary hub for energy transition research. The laboratory work focuses on thermal systems analysis, energy efficiency optimization, and safety engineering applications, with particular emphasis on practical implementation in urban environments and transportation infrastructure.

Milica TodorovicView profile

Associate Professor

• Computational Materials Science
• Artificial Intelligence for Materials Design
• First-Principles Simulations
• +6 more

Milica Todorovic serves as an Associate Professor in the Department of Materials Science within the Faculty of Science and Engineering at the University of Turku (UTU). She leads the Materials Informatics Laboratory (MIL) and heads the Modern Industrial Materials MSc track. Her institutional roles include Vice-director of the Sustainable Materials and Manufacturing (SUSMAT) UTU profiling area, Vice-chair of COST Action CA22154 DAEMON, Vice-leader of the Human-Centric Artificial Intelligence for Sustainable Future (HAIF) Doctoral Training Network, and Co-lead of Finnish Centre for AI (FCAI) Highlight E. Her research integrates artificial intelligence algorithms with first-principles simulations to optimize functional materials and device performance. The MIL group develops data-driven solutions spanning aerosol research, chemical engineering of bio-based materials, and experimental-computational integration. Current projects focus on battery recycling optimization, magnetic materials design, perovskite engineering, and atmospheric aerosol analysis using Bayesian optimization and active learning techniques. Her work demonstrates significant interdisciplinary reach across computational chemistry, nanotechnology, and sustainable engineering. Scientific contributions include: Development of AI workflows for materials discovery Bayesian optimization frameworks for adsorption structure prediction Question answering systems for materials literature mining Data-efficient methods for molecular property prediction Her teaching portfolio includes advanced courses in Data Visualisation and Analysis, Simulations and New Materials, and Machine Learning for Materials Science. She actively contributes to European research networks through DAEMON and FCAI initiatives, driving collaborative efforts in data-driven materials engineering.

Mohammad Reza HerfatmaneshView profile

Associate Professor

• Low Carbon Energy Systems
• Flywheel Energy Storage
• Computational Fluid Dynamics (CFD)
• +5 more

Mohammad Reza Herfatmanesh is an Associate Professor in the School of Physics, Engineering and Computer Science at the University of Hertfordshire , serving as the Research Lead for the Advanced Powertrain and Energy Harvesting and Storage laboratories. He holds a BEng (Hons) and PhD from Brunel University London , and has been affiliated with the University of Hertfordshire since 2013, with prior post-doctoral experience at Brunel. Education: BEng (Hons) in Mechanical Engineering, Brunel University London PhD in Internal Combustion Engines, Brunel University London His research focuses on low carbon energy systems , particularly flywheel energy storage for automotive and grid applications, diesel combustion optimization , and CFD modeling for energy efficiency and environmental dispersion. Recent publications emphasize computational analysis, windage loss reduction, and sustainable transportation technologies. Article trends highlight interdisciplinary work bridging Mechanical Engineering , Environmental Science , and Energy Systems , with a strong focus on CFD simulations , machine learning , and experimental validation . Scientific Awards: EU Patent US Patent His project leadership includes grants totaling over £1 million, with a flagship Innovate UK and APC project valued at £10 million. He has managed collaborations with industry partners and supervised KTP projects. Laboratory affiliations include the Advanced Powertrain and Energy Harvesting and Storage groups, where he drives innovation in energy systems and sustainable engineering.

• Electric Vehicles
• Reluctance Motors
• Wireless Power Transfer
• +3 more

Yassine Benômar is an unpaid researcher affiliated with the MOBI - Electromobility Research Centre and Electrical Engineering and Power Electronics at Vrije Universiteit Brussel. His work focuses on electric vehicle propulsion systems, reluctance motors, and wireless power transfer. PhD Thesis: Sizing and control of a brushless doubly fed reluctance motor drive system for variable speed applications (2022) Master's Thesis: Optimized control system for Interoperable Wireless-Power Transfer systems (2016) Research interests include digital twin development , powertrain engineering , and vehicle-to-grid optimization . Recent publications highlight advancements in multiphase motor systems and switched reluctance machines . Scientific awards include the Best Paper Award at SMART 2024 . He has supervised student research on heavy-duty EV charging scenarios and control systems for wireless power transfer

• Solar Energy
• Building Energetics
• Heat Transfer
• +3 more

Mario Antonio Cucumo is a Full Professor of Industrial Applied Physics at the University of Calabria's Department of Mechanical, Energy and Management Engineering (DIMEG), where he has served since 1983. He coordinates the Energy Engineering program and leads the Laboratory of Building Energetics. His academic journey includes roles as Assistant Professor (1983-1992), Associate Professor (1992-2003), and Full Professor (2003-present). Education: Graduated with honors in Industrial Engineering Technology from the University of Calabria (1979). Research Focus: Professor Cucumo specializes in solar energy conversion, building thermal dynamics, and renewable systems optimization. His work combines theoretical modeling with experimental validation, emphasizing: Photovoltaic performance enhancement Passive building cooling strategies Heat transfer mechanisms in industrial applications Solar thermal system prototyping He has authored 154+ publications, including textbooks on Applied Thermodynamics , Solar Engineering , and Energetics . Publication Trends (2020-2023): Recent research focuses on energy-efficient building technologies (photochromic windows, BIPV systems), computational fluid dynamics for thermal systems, and optimization of hybrid renewable configurations in Mediterranean climates. Studies demonstrate strong integration of experimental data with numerical modeling. Laboratory Leadership: As head of the Building Energetics Laboratory, he oversees experimental research on: Thermographic measurements PV panel performance testing Solar collector prototyping Passive cooling material analysis

• Acoustic Emission Techniques
• Power Transformer Diagnostics
• Machine Learning Applications in Electrical Engineering
• +3 more

Prof. dr hab. inż. Andrzej Cichoń is a faculty member at the Opole University of Technology, serving as Dean of the Faculty of Electrical Engineering, Automatics and Computer Science and Head of the Department of Electrical Power Engineering and Renewable Energy. His research focuses on advanced diagnostic techniques for electrical systems, particularly using acoustic emission and machine learning methodologies. His work spans critical areas such as Acoustic Emission Signal Analysis Partial Discharge Detection Power Transformer Diagnostics Renewable Energy Integration Vibroacoustic Monitoring with recent projects addressing machine learning applications for fault classification and energy-efficient industrial systems. His publications from 2025 to 2019 demonstrate expertise in Transformer Condition Monitoring Signal Processing Algorithms Renewable Energy Storage Machine Learning Integration Industrial Diagnostic Systems Acoustic and Thermal Modeling reflecting a strong technical and applied research trajectory.

Takebumi ItagakiView profile

Senior Lecturer

• Digital TV systems
• Digital Signal Processing
• Parallel Processing
• +6 more

Dr. Takebumi Itagaki serves as a Senior Lecturer in Communications and Computer Technologies within the Electronic and Electrical Engineering Department at Brunel University London's College of Engineering, Design and Physical Sciences. He holds the position of Programme Manager for the Brunel-CQUPT Transnational Education program and serves as TNE-CQUPT Manager. His international research leadership is exemplified by his role as coordinator of the ITU-T Focus Group on Audio Visual Accessibility – Working Group D. Dr. Itagaki earned his academic credentials through a BEng from Waseda University (Japan), a Postgraduate Diploma from City University London, and a PhD in Engineering/Music from Durham University (UK) in 1998. His professional affiliations include membership in IEEE, IET, and the Audio Engineering Society. His research program spans digital television systems (DVB, ISDB), digital signal processing, parallel processing architectures, computer music, and computer architecture. Recent work demonstrates significant expansion into IoT applications for disaster management and healthcare analytics. His research methodology consistently bridges theoretical signal processing with practical implementation in broadcast and communication systems. Analysis of his publication record reveals an evolution from foundational work on transputer networks and granular synthesis in the 1990s to contemporary applications in digital television accessibility, mobile broadcast technologies, and IoT systems. His work maintains consistent focus on multimedia systems while adapting to emerging technological landscapes and societal needs. Dr. Itagaki has secured significant research funding through multiple EU projects including SAVANT (as prime contractor and administrative coordinator), INSTINCT (as project manager), and DTV4All (as coordinator). His current research portfolio includes ICT collaboration between China and Europe, with particular emphasis on IoT techniques for disaster prediction and climate change mitigation. His research group IEHS (Integrated Electronic Health Systems) works at the intersection of communication technologies and healthcare applications, developing systems for emergency response and medical diagnostics. The group's work on the Emergency TeleOrthoPaedics m-health system demonstrates practical implementation of wireless communication links for specialized medical care.

Weibo LiuView profile

Lecturer

• Big Data Analysis
• Evolutionary Computation
• Particle Swarm Optimization
• +7 more

Dr. Weibo Liu is a Lecturer in Computer Science at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. His research focuses on big data analysis, evolutionary computation, machine learning, and deep learning techniques, with applications in healthcare data analysis, manufacturing, and image processing. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation . Weibo Liu earned a B.S. in Electrical Engineering from the University of Liverpool (UK) in 2015 and a Ph.D. in Artificial Intelligence from Brunel University London in 2020. He has contributed to over 54 publications, emphasizing domain adaptation, fault diagnosis, and optimization algorithms. His recent publications highlight advancements in machine learning and deep learning , particularly in domain adaptation , object detection , and industrial applications like additive manufacturing and battery health estimation. His work integrates evolutionary computation (e.g., particle swarm optimization) with neural networks for solving real-world problems in healthcare, robotics, and energy systems. Scientific Awards: Associate Fellow of the Higher Education Academy (AFHEA) He actively supervises PhD projects on Deep Learning-Based Defect Detection for Metal Additive Manufacturing and has participated in program committees, including the 2017 International Conference on Automation and Computing (ICAC). His co-authors include prominent researchers like Prof. Xiaohui Liu and Prof. Zidong Wang.

Ximena SchmidtView profile

Senior Lecturer

• Sustainable Food Systems
• Life Cycle Sustainability Assessment
• Circular Economy
• +6 more

Ximena Schmidt is a Senior Lecturer in Chemical Engineering at Brunel University London's College of Engineering, Design and Physical Sciences, where she joined in 2019 as a Global Challenges Research Fellow at the Institute of Energy Futures. She currently serves as module leader for Process Design (CL3602), Design Project (CL3605), and Sustainability and Environmental Engineering (CL5656). Her educational background includes a PhD in Chemical Engineering and Analytical Science from The University of Manchester, UK, and dual BSc degrees in Chemical Engineering and Engineering Science from Universidad de Santiago de Chile. Schmidt's research centers on sustainable food systems, with expertise in life cycle sustainability assessment, circular economy, and waste valorization. Her work spans sustainable food supply chains, consumption behaviors, school food environments, and citizen science applications. She develops data science and system modeling approaches to address food-climate interactions, particularly through transdisciplinary projects like TakeaBiteCC (Take a Bite out of Climate Change) and GGDOT (Greenhouse Gas and Dietary choices Open Toolkit). Her recent publications demonstrate consistent focus on food system sustainability, with trends showing increasing integration of citizen science methods, longitudinal dietary impact assessments, and policy-relevant evaluations of school nutrition programs. Key thematic clusters include household food waste behaviors, Brazilian food purchase footprints, sustainable cooking technologies, and waste-to-food conversion pathways. Coordinator of TakeaBiteCC - Take a Bite out of Climate Change Champion for Consumer Behaviour at STFC Food Network + 2.0 Coordinator of GGDOT - Greenhouse Gas and Dietary choices Open Toolkit Schmidt actively supervises PhD students in sustainable food systems research and leads multiple funded projects including Batteries Recycling in Circular Economy, Sustainable School Food Environments in Brazil, and Low-Cost Solar-Powered Food Storage. Her outreach work has been featured by BBC World Service and The Conversation, focusing on sustainable parenting and environmentally friendly cooking practices. She contributes to interdisciplinary research groups including the Institute of Energy Futures (IEF) and Energy Systems and Thermofluids (EST).

• Electrical Engineering
• Renewable Energy
• Distribution Networks
• +7 more

Fábio Daniel da Silva Castro is a researcher at the Polytechnic Institute of Porto , affiliated with the Research Group in Engineering and Intelligent Computing for Innovation and Development . He holds a Master's and Bachelor's degree in Electrical Engineering from the same institution and is currently pursuing his PhD in Electrical Engineering and Computer Systems. His work focuses on smart grid technologies , renewable energy integration , and stochastic optimization for distribution networks . Education : PhD (in progress), Master's, and Bachelor's in Electrical Engineering from Polytechnic Institute of Porto. Research Interests : Distribution network planning, energy storage, carbon emissions, and uncertainty modeling in smart grids. Scientific Contributions : Published in journals like Applied Energy and Energy Conversion and Management , with datasets for 180-bus and 236-bus networks. His work emphasizes multi-stage stochastic models and emission-aware frameworks . Awards : Recipient of the DGES Merit Scholarship in 2024. Projects : Involved in initiatives like SEBCoVE and NGS , addressing smart distribution networks and grid expansion. Peer Review : Reviewed over 30 journal papers and 20 conference papers, contributing to Applied Energy and IEEE PES GM conferences.