Find Academic Supervisors

Montiel Nelson, Juan AntonioView profile

Professor

• VHSIC Design
• Integrated Circuit Design
• Performance Estimation and Optimization
• +5 more

Dr. Juan Antonio Montiel-Nelson is a Full Professor at the Department of Electronic and Automatic Engineering, University of Las Palmas de Gran Canaria, Spain, and a permanent member of the Institute for Applied Microelectronics (IUMA). With over 195 publications and 691 citations (ResearchGate, April 2024), he maintains an h-index of 13 in Scopus with 544 citations across 407 documents. PhD in Electrical Engineering from University of Las Palmas de Gran Canaria (1994) Full Professor since 2003 (previously Titular Professor 1997-2003) Visiting Scientist at Edith Cowan University, Australia (1996-1997) His research spans VHSIC design across GaAs, SiGe, InP, and CMOS technologies, with current focus on MEMS sensors design and integration for health monitoring, oceanographic profiling, and aquaculture applications. His work integrates circuit design with AI-driven systems for environmental and health monitoring. Dr. Montiel-Nelson serves on the MWSCAS Steering Committee since 2009 and the IEEE Sensors council for the Spanish chapter. He has contributed to 72 IEEE publications including flagship conferences from 2006-2023 and serves as reviewer for multiple IEEE Transactions journals. Myril B. Reed Best Paper Award, 2008 IEEE MWSCAS Active reviewer for IEEE Transactions on Circuits and Systems I/II Reviewer for IEEE Transactions on Very Large Scale Integration (VLSI) He currently leads multiple major research initiatives including EU-funded projects on AI-assisted health monitoring systems and national projects on oceanographic profilers and aquaculture sensor networks, demonstrating strong leadership in interdisciplinary research bridging electronic engineering with practical environmental and healthcare applications.

Syed Ahmar ShahView profile

Associate Professor

• Signal Processing
• Machine Learning
• Biomedical Engineering
• +5 more

Syed Ahmar Shah is a Senior Research Fellow (Associate Professor) and the Director of Innovation at the Usher Institute within the College of Medicine and Veterinary Medicine at the University of Edinburgh. He holds a tenured academic position and leads the DIME group (Data-driven Innovation in MEdicine). His work bridges biomedical engineering, data science, and clinical medicine, with a focus on improving healthcare through technological innovation. Dr. Shah completed his educational journey with a BEng in Electronics Engineering from GIK Institute of Engineering Sciences and Technology in Pakistan, followed by an MSc and DPhil (PhD) in Biomedical Engineering and Biomedical Signal Processing and Machine Learning, respectively, from the University of Oxford. His academic credentials reflect his interdisciplinary expertise spanning engineering, data science, and medicine. His research interests center around the application of advanced data analytics to healthcare challenges. Specifically, he focuses on signal processing for time-series analysis and filtering, machine learning for classification, regression, and clustering tasks, and the development of digital health systems for chronic disease management. His work particularly targets chronic respiratory conditions like COPD and asthma, where he applies data mining techniques to electronic health records to identify patterns and develop predictive models. Dr. Shah's publication portfolio includes over 60 peer-reviewed articles in prestigious journals such as The Lancet, Brain, BMJ Open, Thorax, IEEE Transactions, JMIR, and JACI. His recent work demonstrates a strong trajectory in applying artificial intelligence to predict asthma attacks, analyze long COVID outcomes, and develop tools for personalized COPD care, particularly for women. His research often involves large-scale data analysis from national healthcare databases across the UK, Brazil, and Scotland, enabling cross-country comparisons of disease patterns and healthcare system responses. Florence Nightingale Award for Excellence in Healthcare Data Analytics (2023) As an active supervisor, Dr. Shah is open to PhD supervision enquiries and has contributed to training the next generation of researchers at the intersection of data science and healthcare. His DIME research group serves as a hub for innovative projects that combine engineering approaches with clinical medicine to address pressing healthcare challenges. Dr. Shah also engages with industry through data science consulting, offering expertise in developing intelligent algorithms for businesses with large datasets, particularly in healthcare but extending to other domains as well.

Femi OlanView profile

Senior Lecturer

• Digital Entrepreneurship
• Knowledge Management
• Performance Management
• +5 more

Femi Olan is a Senior Lecturer at the Strategy, Operations and Entrepreneurship department within Essex Business School at the University of Essex. His academic work bridges the intersection of digital entrepreneurship, knowledge management, and artificial intelligence in organisational contexts. Educational Background: PhD, University of Plymouth Research interests focus on digital entrepreneurship , artificial intelligence , and knowledge management , particularly examining how these technologies enhance organisational resilience and sustainability. His publications in journals like Information Systems Frontiers and Technological Forecasting & Social Change highlight applications of AI in supply chains, crisis information management, and sustainability. Recent editorial roles include Cogent Business & Management Journal (2024) and guest editorships for special issues on fake news, sustainable agriculture supply chains, and crisis information management. His 15 most recent articles (2022-2025) span topics such as explainable AI in B2B marketing, CSR implementation in African SMEs, and Industry 4.0 adoption in agriculture. He supervises PhD candidates in entrepreneurship and has secured funding from the UK Higher Education Academy and European Commission . As a coordinating board member of the Euro Working Group – Decision Support Systems , he contributes to international research networks and conferences.

Maobing TuView profile

Professor

• Biomass Processing Chemistry
• Biofuels and Bioenergy
• Bioprocess Engineering
• +3 more

Maobing Tu is a Professor at the University of Cincinnati, specializing in biomass processing chemistry and biofuel production. His research focuses on biochemical engineering, lignocellulosic biomass conversion, and environmental biotechnology. He holds a PhD from the University of British Columbia (2007) and East China University of Science and Technology (2001). Key research areas include developing sustainable biorefinery processes, mitigating biomass recalcitrance, and enhancing microbial fermentation efficiency. He has secured multiple grants, including an NSF CAREER Award and NSERC Fellowships, supporting projects on lignin valorization, PFAS treatment, and bioprocess engineering. Education: PhD, University of British Columbia, Vancouver, 2007 PhD, East China University of Science and Technology, Shanghai, 2001 Awards: NSF Career Award (2013–2018) NSERC Industry R&D Fellowship (2007–2008) His work spans collaborations on nanocellulose-based materials, microbial fuel cells, and lignin-based piezoelectric materials. Recent grants include federal funding for decarbonizing chemical recovery processes and novel membrane electrolysis systems. Publications highlight advancements in biomass pretreatment, enzyme recycling, and detoxification strategies for biofuel production. Current projects address environmental challenges like PFAS remediation and microbial community dynamics in water systems.

Craig HancockView profile

Research Professor

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +3 more

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

Wout JosephView profile

Professor

• electromagnetic field exposure assessment
• in-body electromagnetic field modelling
• electromagnetic medical applications
• +12 more

Wout Joseph is a Professor in the domain of Experimental Characterization of wireless communication systems at Ghent University (Belgium), where he has been working since October 2009. He is also an IMEC Principal Investigator since 2017. His research is conducted within the wireless, acoustics, environment & expert systems (WAVES) research unit at the Department of Information Technology (INTEC). Dr. Joseph was born in Ostend, Belgium on October 21, 1977. He received his M.Sc. degree in electrical engineering from Ghent University in July 2000. From September 2000 to March 2005 he was a research assistant at the Department of Information Technology (INTEC), where his scientific work focused on electromagnetic exposure assessment around base stations for mobile communications related to health effects. This work led to his Ph.D. degree in March 2005. Professor Joseph's research expertise spans multiple domains within wireless communications and bioelectromagnetics. His primary research interests include electromagnetic field exposure assessment, in-body electromagnetic field modeling, electromagnetic medical applications, propagation for wireless communication systems, IoT, antennas and calibration. He also specializes in wireless performance analysis, industry 4.0 applications, wireless localization, and Quality of Experience metrics. His work is particularly notable for its focus on dosimetric studies in the radiofrequency range, where his research is ranked first in number of peer-reviewed studies. His research has practical applications in wireless network planning, occupational safety, and public health policy related to electromagnetic fields. His extensive publication record (over 886 publications with an h-index of 45 in ISI Web of Science and 66 in Google Scholar) demonstrates a clear trajectory from fundamental electromagnetic field measurements to applied research in industrial wireless networks and bioelectromagnetic applications. Recent work shows a strong emphasis on 5G exposure assessment across multiple European countries, millimeter-wave channel modeling, and the application of machine learning techniques to exposure assessment and wireless localization. EBEA council board member (2015-2018) EBEA board member at large (2019) Bioelectromagnetics Society board member (2022) Bioelectromagnetics Society board member (2024) 24 research awards Professor Joseph leads significant research efforts in electromagnetic field exposure assessment, with particular emphasis on developing measurement methodologies and computational models for real-world exposure scenarios. His work bridges theoretical electromagnetic modeling with practical applications in wireless communications and bioelectromagnetics. His research group within the WAVES unit is highly active in both theoretical and experimental aspects of wireless communications and bioelectromagnetics, with current projects focusing on 5G exposure assessment across Europe, millimeter-wave channel modeling for data centers and industrial environments, and the development of novel exposure assessment methodologies using advanced signal processing and machine learning techniques.

• Climate Resilience
• Building Physics
• Urban Heat Island Effect
• +3 more

Tristan Kershaw is a Senior Lecturer at the University of Bath's Department of Architecture & Civil Engineering. His research focuses on climate resilience, building physics, and urban microclimate adaptation. He holds an MPhys (2004) and PhD in low-temperature solid-state physics (2008) from the University of Exeter. His work explores how urban design and green/blue infrastructure can mitigate climate change impacts on buildings and communities. He has led projects funded by EPSRC, the Royal Academy of Engineering, and the EU, addressing topics like heatwave mitigation, sustainable land management, and climate adaptation in underserved regions. Key contributions include the CIBSE Napier Shaw Medal (2012) for developing probabilistic future weather models. His research emphasizes long-term building sustainability, thermal comfort, and nature-based solutions for urban resilience. He collaborates internationally and actively supervises doctoral students in climate change resilience, urban heat islands, and zero-carbon design. Education: MPhys (Exeter, 2004), PhD (Exeter, 2008) Affiliations: Centre for Climate Adaptation & Environment Research (CAER), Centre for Regenerative Design & Engineering (RENEW) Grants: EPSRC-funded projects on urban green infrastructure and heatwave impacts Recent projects include designing climate-resilient buildings in Qatar and developing urban models for thermal observation. His work aligns with UN SDGs related to climate action (SDG13) and sustainable cities (SDG11).

Mehrdad MoallemView profile

Professor

• Control Systems
• Power Electronics
• Energy Harvesting
• +3 more

Dr. Mehrdad Moallem is a Professor and Graduate Student Supervisor in the Department of Mechatronic Systems Engineering at Simon Fraser University (SFU). He holds a Ph.D. in Electrical & Computer Engineering from Concordia University (1997), an M.Sc. from Sharif University (1988), and a B.Sc. from Shiraz University (1986). His research focuses on control systems in sustainable energy, power electronics, energy harvesting, robotics, and embedded systems. He has authored/co-authored four technical books and serves on editorial boards for journals like IEEE/ASME Transactions on Mechatronics. Dr. Moallem has held academic roles at Duke University and the University of Western Ontario. His teaching includes courses on real-time control systems, mechatronics design, and microprocessors. Research interests span embedded control systems, nonlinear dynamics, and applications in renewable energy and robotics. Recent work includes IoT-enabled lighting systems for agriculture, RF cavity control, and smart energy harvesting. He emphasizes hands-on student projects and industry collaboration, such as the Siemens Certification Program and Industry 4.0 bootcamps. Dr. Moallem's lab develops innovative solutions for energy efficiency and automation, with a focus on sustainable systems and smart manufacturing. He actively advises graduate students on advanced topics like grid-connected inverters, motor drives, and vibration control.

• Accounting Education
• Management Accounting
• Financial Management
• +3 more

Rafiuddin Ahmed is a Professor at James Cook University , specializing in Accounting . With over two decades of academic contributions, his work focuses on management accounting, financial governance, and educational pedagogy, particularly in the Australian service sector and South Asian contexts. Key research areas: Accounting Education, Management Accounting, Sustainability, Educational Technology His publications span topics like cost allocation systems, capital structure dynamics, and innovative teaching methods such as LEGO® Serious Play. Recent work explores intersections between eco-control systems, sustainable development goals (SDGs), and digital entrepreneurship in Bangladesh. Google Scholar highlights 35+ works, including 2024 studies on Halal cloud kitchens and eco-control systems, showing evolving interests in digital transformation and climate-responsive accounting practices. Earlier works (2003-2015) analyze public sector accounting reforms, group learning, and cost shifting strategies. Collaborations include scholars in accounting, finance, and management across Australia, Bangladesh, and Singapore. No explicit awards or student advisement information is documented in available sources.

• Photovoltaics
• Solar Energy Systems
• Silicon Solar Cells
• +5 more

Jef Poortmans is a Visiting Professor at KU Leuven, Belgium, specializing in photovoltaic technologies and solar energy systems. His research spans multiple applications including conventional solar installations, agrivoltaics, vehicle-integrated photovoltaics, and tandem solar cell configurations. Affiliated with the Electa department at KU Leuven, he maintains an active research profile with numerous publications extending into 2025. His research interests focus on advancing photovoltaic technology across multiple dimensions. Poortmans investigates thermal modeling to improve energy yield predictions, develops lightweight PV modules for vehicle integration, explores agrivoltaic systems that combine agriculture with solar energy production, and works on next-generation perovskite and tandem solar cell technologies. His work often addresses practical implementation challenges including reliability under various environmental conditions, mechanical integration requirements, and performance optimization for specific applications. Analysis of his recent publications reveals a strong emphasis on practical implementation challenges of photovoltaic systems. His work spans fundamental materials science (particularly for perovskite and thin-film technologies), system integration challenges (especially for vehicle applications), and innovative approaches to land use optimization through agrivoltaics. A recurring theme is addressing reliability and performance issues under real-world operating conditions rather than ideal laboratory settings. Poortmans frequently collaborates with researchers across multiple institutions, indicating strong industry and academic connections within the photovoltaics community. His work appears in high-impact journals including Solar Energy Materials and Solar Cells, Scientific Reports, and Advanced Functional Materials, demonstrating recognition within the field. While specific grant information isn't detailed in the provided materials, his extensive publication record across diverse photovoltaic applications suggests successful funding acquisition for multiple research projects. His involvement in PhD theses supervision indicates active mentorship of next-generation researchers in the photovoltaics field. His research group appears to focus on bridging fundamental photovoltaic science with practical engineering applications, particularly addressing the reliability and integration challenges that prevent wider adoption of solar technologies in non-traditional applications like vehicles and agricultural settings.

Fabio PierellaView profile

Associate Professor

• Offshore Wind Energy
• Fluid Dynamics
• Structural Engineering
• +3 more

Fabio Pierella is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Wind and Energy Systems Flows, specializing in Wind Turbine Design Division. His research focuses on offshore wind energy systems, fluid dynamics, and structural engineering. He has contributed to projects like OC6 Phase IV and the DeRisk database, validating numerical models for floating offshore wind structures and extreme wave loads. Key research interests include computational fluid dynamics (CFD), hydrodynamic load modeling, and the design of large-scale floating wind turbines. His work spans numerical simulations, experimental validation, and database development for extreme sea states. Pierella has presented at international conferences on topics like wave-structure interaction and turbine control systems. He received the Best Poster Presentation Award (2024) and contributed to datasets such as the DeRisk Database, which provides critical wave data for offshore wind turbine design. His research emphasizes practical applications, including monopile structural integrity under extreme loads and control strategies for floating platforms. Pierella's activities include conference presentations on ultra-large floating turbines (EMULF2 project) and the impact of wave shape on 15MW turbine loads. His interdisciplinary approach integrates computational models with experimental results to address challenges in offshore renewable energy systems.

• Fluid Mechanics
• Heat Transfer
• Thermal Engineering
• +5 more

Dr. Juan Felipe Torres is a Senior Lecturer and course convener for Aerodynamics, Fluid Mechanics, and Heat Transfer at the School of Engineering, ANU. His research focuses on sustainable heat and fluid flow phenomena with applications in environmental, energy, and aerospace engineering. Key contributions include hierarchical solar absorber coatings and the development of thermodiffusive desalination. He holds dual doctoral degrees from Tohoku University (Japan) and École Centrale de Lyon (France), with 12 years of experience in Japan, including a JSPS Fellowship and industry work at Toshiba Corporation. Education: Doctor of Philosophy (Engineering), Tohoku University & École Centrale de Lyon (2014) Master of Engineering, Tohoku University (2011) Bachelor of Engineering, Tohoku University (2009) Research Interests: Sustainable energy systems, solar thermal technologies, phase-change materials, desalination, and advanced coatings for high-temperature applications. His work emphasizes scalable solutions for environmental and energy challenges, including heat transfer optimization and materials innovation. Grants & Projects: ANU-funded projects on microplastic collection, hydrogen storage, lunar dust mitigation, and solar carbon sequestration (2018–2026). Focus on lab-scale prototypes (e.g., packed bed thermal storage, bladed solar receivers) and field applications. Labs & Teams: Group Leader of the ANU HEAT Lab, advancing heat/mass transfer technologies for environmental and energy applications. Collaborates internationally on solar thermal systems and desalination.

• Freshwater Ecology
• Conservation Biology
• Invasive Species Management
• +3 more

Tyler Schartel serves as an Associate Research Scientist in Conservation Ecology at the Illinois Natural History Survey, University of Illinois Urbana-Champaign. His research integrates computational methods with field ecology to address freshwater conservation and invasive species challenges. Research interests span: Freshwater mussel biodiversity and ecosystem health Machine learning applications for species distribution modeling Invasive pest risk assessment (vineyard moths, Xylella vectors) Protected lands effectiveness for conservation targets His work emphasizes algorithmic rigor in ecological informatics and climate-driven disease forecasting. Recent publications reveal strong trends in computational ecology: improving machine learning stability for cross-dataset species-richness modeling (2025), optimizing Maxent background selection for freshwater systems (2024), and developing climate-informed risk frameworks for agricultural pests (2022-2023). Key methodological contributions focus on predictor discriminability metrics and vector tolerance thresholds.

Yelva RoustanView profile

Lecturer

• Air Quality Modeling
• Atmospheric Chemistry
• Pollutant Deposition
• +3 more

Yelva Roustan is a Lecturer at CEREA (joint laboratory between École Nationale des Ponts et Chaussées and EDF R&D) since 2005, specializing in air quality modeling . Her research focuses on multiscale modeling approaches, source-concentration relationships, and pollutant deposition processes. She teaches at the National School of Bridges and Roads, sharing knowledge from her research in atmospheric transport and environmental science. Her work addresses urban pollution challenges, including the impact of low-emission vehicles on air quality, urban tree effects, and pollutant dynamics in street networks. She has developed the MUNICH street-network model and contributed to projects like EURODELTA for multi-pollutant analysis across Europe. Her methods integrate data assimilation, inverse modeling, and Bayesian techniques to improve emission source reconstruction and model accuracy. Key contributions include studies on radioactive release scenarios (e.g., Fukushima, 106Ru event) and urban infrastructure impacts on pollution. Her research bridges atmospheric science with engineering solutions for sustainable urban environments. She holds a PhD in Environmental Engineering from École Nationale des Ponts et Chaussées (2005) and an HDR in Numerical Modeling of Atmospheric Pollutants (2020).

Lin CaiView profile

Professor

• Wireless Communications
• Networking
• Mobile Computing
• +7 more

Lin Cai is a Professor in the Department of Electrical & Computer Engineering at the University of Victoria, Canada. She holds prestigious fellowships including NSERC Steacie, IEEE, CAE, and Royal Society of Canada. Her research focuses on wireless communications, networking, and mobile computing, with emphasis on protocols for multimedia and IoT systems. She has led projects in vehicular networks, UAV-assisted systems, and federated learning for edge intelligence. Dr. Cai has advised over 20 students, many of whom have received awards and prominent roles in academia and industry. She has authored numerous high-impact papers, secured grants from NSERC, CFI, and industry partners, and serves in leadership roles at IEEE and educational institutions. Notable contributions include work on congestion control, network security, and autonomous systems. Education: BEng (Nanjing U. of Sci. & Tech.), MASc/PhD (University of Waterloo) Affiliations: IEEE Vehicular Technology Society Board of Governors, IEEE ComSoc Distinguished Lecturer Awards: 2020 IEEE N2Women 'Star in Networking', RSC Fellow 2024, Best Paper Awards (ICC 2008, WCNC 2011) Research Labs: Connected Autonomous Vehicles (CAV) Lab, AI-driven Networking Group Her work integrates networking, AI, and control theory to address challenges in 6G, IoT, and smart transportation. She actively promotes diversity through initiatives like the 'Riko-chan' STEM manga series.