Find Academic Supervisors

• Medical Imaging
• Breast Cancer Diagnosis
• Phase-Contrast Tomography
• +4 more

Dr. Amir Tavakoli Taba is a Senior Lecturer in Medical Imaging Sciences at the University of Sydney, where he co-directs the Medical Image Optimisation and Perception Group (MIOPeG). He specializes in improving medical imaging accuracy, particularly in breast cancer diagnosis, through advancements like phase-contrast tomography and AI integration. His work bridges technological innovations (e.g., low-dose imaging) with clinical practice, emphasizing quality control and radiologist performance analysis. Education: PhD (University of Sydney) MEngSc (University of New South Wales) BSc (University of Tehran) Research Interests: Dr. Taba’s research focuses on phase-contrast computed tomography (PCT), AI-driven diagnostic tools, and clinical workflow optimization. His projects include the world’s first PCT clinical trial (scheduled for 2024 in Melbourne) and collaborations with institutions like ANSTO, Harvard Medical School, and the University of Iowa. He also investigates radiologist expertise development and the role of social networks in medical decision-making. Grants & Awards: NHMRC Synergy Grant (IMPACT: Implementation of X-ray Phase-Contrast Tomography) International recognition, including the SPIE Medical Imaging Award Advising & Labs: Current students: Mohammed ALANAZI (abdominal CT optimization), Jenna ARBID (phase-contrast imaging) Labs: MIOPeG, part of the Sydney Vital and Sydney Catalyst cancer research networks Teaching: Courses in imaging technologies, medical image perception, and clinical capstone projects for diagnostic radiography students.

Tony JanView profile

Professor

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +7 more

Professor Tony Jan leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University Australia's Design and Creative Technology school. He holds a PhD in Computing Science from the University of Technology Sydney (2004) and a Bachelor of Engineering from the University of Western Australia (1999). His research focuses on federated machine learning for IoT security, ensembled machine learning for real-time applications, cognitive machines for human-centric computing, and smart sensor networks for healthcare and security. He has secured ARC grants and industry partnerships with NVIDIA, IBM, and Microsoft. Awards include the 2024 SEI Global Academic Excellence Award and the 2023 Torrens University Excellence Award. Research collaborations span global partners, with contributions to UN Sustainable Development Goals in education and industry. His work bridges academia and industry, expanding AI program enrollments by 2,000+ students and enhancing student satisfaction by 15%. He advises PhD students on topics like IIoT cybersecurity and smart cities, and has produced over 97 publications since 1999. Education: PhD (UTS, 2004), BEng (UWA, 1999) Research Themes: AI for Industry 5.0, Cybersecurity, Smart Cities, Healthcare Technology Key Partnerships: NVIDIA, CIMIC, Palo Alto Networks Recent Projects: Federated learning for health IoT, drone vision intelligence, ransomware detection His work emphasizes ethical AI adoption in design and healthcare, with publications exploring AI ethics, generative AI applications, and sustainable technology integration.

Nagham SaeedView profile

Associate Professor

• Electrical and Electronic Engineering
• Industrial Internet of Things (IIoT)
• Artificial Intelligence in Engineering
• +9 more

Dr. Nagham Saeed is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, where she has been actively engaged in teaching and research since 2007. She holds a PhD in Intelligent MANET Optimisation from Brunel University and leads the Industrial Internet of Things (IIoT) research group. Her academic service includes editorial and technical committee roles for IEEE and MDPI, and she is a Chartered Engineer (CEng), Senior Member of IEEE, Member of IET, and Senior Fellow of the Higher Education Academy (HEA). PhD in Intelligent MANET Optimisation System, Brunel University (2011) Her research focuses on intelligent systems for smart cities, applying artificial intelligence to telecommunications, energy modeling, and industrial applications. She explores AI-driven optimization in next-generation networks, smart grid integration, battery management systems, and sustainable ICT. Her work also extends to engineering education, particularly feedforward teaching methods and student engagement. The recent publications reveal a strong trend in applying AI and machine learning to solve real-world challenges in energy systems, IoT, transportation, and environmental sustainability, often with a focus on smart cities and renewable integration. Dr. Saeed has been recognized with several awards, including: 2021 University of West London Student Union Best Supervisor/Tutor Award 2022 IEEE Region 8 Outstanding Women in Engineering Section Volunteer Award She mentors early-career engineers and academics and actively promotes electrical and electronic engineering among young girls. She has served as the 2023 IEEE Women in Engineering UK & Ireland Chair and is currently the Vice Chair (Chair-Elect) for the IEEE UK & Ireland Section (2024–2025). Her leadership spans technical innovation, academic service, and diversity advocacy in engineering. She teaches across a range of programs, including MSc Industrial Internet of Things, BEng and MSc Electrical and Electronic Engineering, and supervises PhD research in related fields.

Lisa BaiView profile

Research Fellow

• Resource recovery from waste and wastewater
• Bioenergy production
• Biodegradable plastics (PHA)
• +7 more

Dr. Lisa Bai is a Research Fellow at the Australian Centre for Water and Environmental Biotechnology (ACWEB) within the School of Chemical Engineering at the University of Queensland. She also maintains affiliations with the ARC Training Centre for Bioplastics and Biocomposites. Her research focuses on sustainable waste and wastewater management with expertise in resource recovery technologies and bioenergy production from organic waste streams. Dr. Bai earned her PhD from the University of Queensland and has a background in Bioengineering and Environmental Engineering. Prior to her academic career, she spent four years working at an environmental consultancy in North Queensland, where she specialized in aquaculture water bioremediation using macroalgae technologies and waste stream utilization for biomass production. Her research program spans four interconnected themes: 1) Data-Based Waste Identification and Characterisation for both core and non-core organic wastes; 2) Tailored Organic Waste and Wastewater Treatment Technology focusing on anaerobic digestion and nutrient recovery; 3) Biotechnology Assisted Process Optimisation for co-digestion modeling; and 4) Biotechnology Based Process Enhancement investigating microbial ecology mechanisms. Her work bridges molecular biology with engineering applications for practical waste management solutions. Analysis of her publication record reveals a consistent research trajectory in anaerobic digestion technologies and resource recovery, with recent work (2023-2025) focusing on enhancing digestion of challenging waste streams like paunch waste from meat processing. Her research demonstrates progression from fundamental laboratory studies to pilot-scale implementation with industry partners. Dr. Bai is actively involved in research funding, currently leading the 'Pilot-scale Validation of Anaerobic Co-digestion at Large Municipal STP' project (2024-2025) funded by Urban Utilities. Previously, she contributed to the 'Waste-to-Energy' project (2020-2024) under the Fight Food Waste CRC program. She serves as an Associate Advisor for PhD students working on biotechnologies for PHA production. Her research team collaborates closely with industry partners including Central SEQ Distributor-Retailer Authority and Red-Meat-Processing facilities to translate laboratory findings into commercial applications for sustainable waste management, demonstrating strong industry engagement and practical implementation focus.

• Functional Analysis
• Artificial Intelligence
• Foundations of Computational Mathematics
• +7 more

Anders C. Hansen is Professor of Mathematics at the University of Cambridge (Faculty of Mathematics, Department of Applied Mathematics and Theoretical Physics) and Professor II at the University of Oslo. He leads the Applied Functional and Harmonic Analysis group and holds a Royal Society University Research Fellowship. His research bridges pure mathematics and cutting-edge applications in AI, computational harmonic analysis, inverse problems, and compressed sensing. Education: PhD from the University of Cambridge, MA from UC Berkeley, and BA from the Norwegian University of Science and Technology. Research Interests: Hansen's work centers on foundational challenges in computational mathematics, including the Solvability Complexity Index hierarchy for classifying computational problems, instability phenomena in deep learning, and theoretical advances in compressed sensing. His group develops rigorous frameworks for high-dimensional data analysis, medical imaging, and AI safety, often exposing paradoxes in algorithmic reliability. Publication Trends: Recent articles focus on the limits of deep learning (e.g., Smale's 18th problem, instability in image reconstruction), mathematical foundations of AI (trustworthiness, feature selection, LLMs), and advanced compressed sensing (asymptotic incoherence, spectral computations). His work consistently intersects functional analysis with computational feasibility. Awards: PROSE Award Finalist (2022) Whitehead Prize (2019) IMA Prize in Mathematics and Applications (2018) Leverhulme Prize (2017) Royal Society University Research Fellow (2012) Advising & Leadership: Hansen has supervised 17 PhD students and 8 postdocs. He leads the Applied Functional and Harmonic Analysis group, coordinating interdisciplinary projects in mathematical data science. His editorial roles include SIAM Journal on Imaging Sciences and Proceedings of the Royal Society A .

Yufeng ZhangView profile

Professor

• Operations Management
• Supply Chain Management
• Sustainability
• +12 more

Professor Yufeng Zhang is a Chair in Operations Management and Head of the Department of Management at Birmingham Business School, University of Birmingham. He is also a Senior Fellow of the Higher Education Academy and a Fellow of the Alan Turing Institute. His academic journey began at Shanghai Jiao Tong University, continued at the Technical University of Berlin, and culminated with a PhD from the University of Cambridge, where he also worked as a Research Associate before joining Birmingham in 2009. PhD, Engineering – University of Cambridge MSc/Dipl-Ing, Global Production Engineering – Technical University of Berlin BEng, Mechanical Engineering & Automation – Shanghai Jiao Tong University BEng, International Finance – Shanghai Jiao Tong University PG Cert in Learning & Teaching in Higher Education Yufeng Zhang’s research focuses on sustainability, digitalisation, engineering innovation, and global network operations. His work integrates engineering and management perspectives, employing qualitative, quantitative, and simulation methods. He has led numerous projects funded by UK, EU, and international bodies, and has published over 80 refereed papers in top-tier journals such as Journal of Operations Management , International Journal of Production Economics , and Journal of Cleaner Production . His recent publications highlight trends in green operations, sustainable supply chains, digital transformation, and network capabilities. The research spans subfields including environmental performance, IoT integration, supply chain flexibility, and servitisation, reflecting a strong interdisciplinary focus on modern operational challenges. His scientific awards include the University’s Excellence in Teaching and Learning Award (2013), Literati Nominations for Highly Recommended Papers (2008, 2013), and recognition as a Senior Fellow of the Higher Education Academy and Turing Fellow. Yufeng has supervised over 20 PhD students and has held key roles such as Deputy Lead for REF2021, Director of Business Programmes with Engineering, Sciences, Law and Languages (2010–2017), and Coordinator of Europe China High Value Engineering Networks (EC-HVEN). He is an External Examiner for multiple universities and a Visiting Professor at Zhejiang University, demonstrating extensive academic leadership and collaboration. He leads and contributes to research labs and networks focused on engineering innovation and sustainable operations, including collaborations with industry and international institutions. His future work continues to explore the intersection of digital technologies, sustainability, and global operations, aiming to shape resilient and responsible business practices.

Naoko EllisView profile

Professor

• Multiphase reaction engineering
• Fluidized bed technology
• CO2 capture and utilization
• +5 more

Naoko Ellis is a Professor in the Department of Chemical and Biological Engineering at the University of British Columbia, Faculty of Applied Science. Her work bridges advanced multiphase reaction engineering with pressing sustainability challenges, focusing on fluidized-bed technologies for CO₂ capture, biomass valorisation, and clean energy production. Research Interests Multiphase reaction engineering & fluidized beds CO₂ capture via calcium looping and chemical looping combustion Biomass gasification, pyrolysis, and tar mitigation Bio-oil upgrading and biochar engineering for environmental applications Engineering education innovation for sustainability literacy Recent publications (2020-2024) reveal an integrated approach combining rigorous reactor modeling, novel catalyst development, and educational scholarship. Energy and environmental engineering dominate the portfolio, with emerging use of machine-learning tools for process optimisation and extensive exploration of biochar and bauxite-residue valorisation. Scientific Recognition Guest editor for memorial special issues honouring Prof. John R. Grace (Canadian Journal of Chemical Engineering, Powder Technology, 2023-2024) Invited prefatory contributions on chemical engineering education (Canadian Journal of Chemical Engineering, 2024) Advising & Grant Landscape No specific student names or funding details were provided in the supplied text; however, the breadth of collaborative publications and education-focused papers indicates active supervision of graduate researchers and leadership in curriculum-development grants. Labs & Teams Operates within the multiphase reaction engineering laboratory environment at UBC Chemical and Biological Engineering, leveraging pilot-scale fluidized-bed facilities and advanced analytical instrumentation for thermochemical conversion studies.

• Cybersecurity
• Machine Learning
• Data Analytics
• +5 more

Dr Zhiyuan (Thomas) Tan is an Associate Professor at Edinburgh Napier University’s School of Computing, Engineering and the Built Environment . He is internationally recognised for his cybersecurity research and has been listed among Stanford University’s Top 2% Scientists for 2021–2023. Education BEng (2005) with high distinction – North-eastern University, China MEng (2008) – Beijing University of Technology, China PhD in Computer Systems (2014) – University of Technology Sydney, Australia Research Interests Dr Tan’s research integrates cybersecurity with machine learning and data analytics. His core areas include: Intrusion detection and defence of critical service systems Adversarial machine learning for malware and anomaly detection Virtualisation security through non-parametric behaviour modelling IoT and vehicular network security—cloud/edge/cloudlet frameworks Privacy-preserving AI and federated machine unlearning Smart-city digital forensics and cyber-physical system resilience Research Output Trends His recent articles (2020–2025) reveal a strong focus on federated learning, edge & mobile computing, UAV coordination, and AI-driven security. Topics span advanced steganography, metamorphic malware, graph injection attacks, and trustworthiness in vehicular platoons, all anchored in real-world IoT and transportation applications. Awards & Distinctions Stanford University Top 2% Scientists List (2021, 2022, 2023) National Research Award 2017 – Research Council of the Sultanate of Oman Best Paper Awards (three instances) Kaspersky Lab Student Cyber Security Conference – Finalist Award SICSA Supervisor of the Year 2019 – Honourable Mention Grants & Leadership Dr Tan has attracted over £200k in external funding including: Carnegie Trust (£73,564) – Federated Machine Unlearning ENU Development Trust (£29,998) – Machine Unlearning Royal Society (£12,000) – VANET Security & Privacy SICSA & other awards for MemoryCrypt, AI Secrets, behaviour biometrics, and visiting-fellow schemes. Supervision & Mentoring Since 2013 he has supervised or co-supervised 16 doctoral candidates and several master’s students; six PhDs have successfully graduated. Roles range from Director of Studies to additional supervisor across diverse topics from malware evolution to VR olfactory interfaces. Research Groups & Collaboration He is affiliated with the Centre for Artificial Intelligence and Robotics , the Centre for Distributed Computing, Networking and Security , and the Centre for Cybersecurity, IoT and Cyber-physical Systems at ENU, fostering interdisciplinary collaboration with national and international partners.

Siul RuizView profile

Lecturer

• Soil Biomechanics
• Environmental Engineering
• Biomechanics
• +4 more

Dr. Siul Ruiz is a Lecturer at the University of Southampton, affiliated with the Bioengineering Group. His research focuses on physical processes in soils and biological systems, including solid/fluid mechanics, mass/energy transport, and imaging techniques like X-ray computed tomography (XCT) and neutron radiography. He develops mathematical models to study soil biomechanics, biofilm dynamics in plants, and the impact of fertilisers on crop nutrition. Current projects include quantifying soil biomechanics via X-ray diffraction and modeling olive tree resistance to Xylella fastidiosa. Funded by the Royal Society and BBSRC, his work bridges applied mathematics, mechanical engineering, and environmental science. Education: MSc in applied mathematics and mechanical engineering (focus on soft robotics). Research Interests: Soil-plant interactions, biofilm modeling, and biophysical constraints in ecological systems. His recent publications explore topics like phosphate removal mechanisms in soil, Xylella fastidiosa biofilm spread in olive trees, and high-throughput analysis of plant stem structures. He supervises two PhD students in Engineering and the Environment. Dr. Ruiz aims to extend biomechanical quantification techniques for broader applications, leveraging interdisciplinary approaches.

Dylan CuskellyView profile

Lecturer

• Energy Storage
• Materials Science
• Mechanical Engineering
• +3 more

Dr Dylan Cuskelly is a Lecturer in the School of Engineering at the University of Newcastle, Australia. His research focuses on advanced materials development for energy storage and sustainable manufacturing, alongside STEM education innovation. He co-founded MGA Thermal, a company commercializing thermal energy storage materials derived from miscibility gap alloys (MGAs). Education: PhD in Mechanical Engineering (University of Newcastle, 2015) Bachelor of Engineering (Mechanical) (Hons) (University of Newcastle, 2009) Research Interests: Development of novel materials for energy storage applications Synthesis of MAX/MAB phase ceramics and metal alloys Economical material production processes Integration of renewable energy storage solutions STEM education pedagogy and curriculum design Grants & Awards: 2022: iSTEM Zero to Hero grant (Google Australia, $11,863) 2019: Optimisation of Thermal Energy Storage grant (MGA Thermal, $192,000) 2017: Excellence in Teaching and Learning Award (University of Newcastle) Collaborations: Active partnerships with industry (MGA Thermal, Sunburnt Space Co), academia (University of Melbourne), and international research networks. Labs/Teams: Leads the Advanced Materials Group at Newcastle, focusing on thermal energy storage materials and sustainable manufacturing processes.

Andrea Meilán-VilaView profile

Assistant Professor

• Nonparametric Estimation
• Directional Statistics
• Kernel Smoothing
• +3 more

Andrea Meilán-Vila is an Assistant Professor in the Department of Statistics at Universidad Carlos III de Madrid since 2021, holding a Juan de la Cierva Fellowship since 2023. She earned her PhD in Statistics from Universidade da Coruña (2021) and previously served as a Postdoctoral Fellow at Universidade de Santiago de Compostela's Department of Statistics, Mathematical Analysis and Optimisation. Her research focuses on nonparametric methods for analyzing complex data types, including directional, spatial, and functional data. Key areas include kernel smoothing techniques, goodness-of-fit testing for regression models, and spatial trend estimation. She serves as an Associate Editor for the Journal of Nonparametric Statistics . Recent work emphasizes applications in climate science (temperature curve modeling), fluid dynamics (wake flow control), and biomedical imaging (hippocampus shape analysis). Her methodologies address challenges like sparse data estimation and spatial correlation in regression frameworks. Key Projects: STENED (Stein-based goodness-of-fit tests for non-Euclidean data) Awards: Juan de la Cierva Fellowship (2023) Publications span journals like Journal of Fluid Mechanics , Statistical Papers , and TEST , with a focus on methodological advancements in statistical modeling and computational validation.

Paulina QuintanillaView profile

Lecturer

• Chemical Engineering
• Environmental Engineering
• Process Control and Simulation
• +6 more

Dr Paulina Quintanilla is a Lecturer in Process Systems Engineering at Brunel University of London and an academic visitor at Imperial College London. She holds a PhD in Earth Science and Engineering from Imperial College London (2023), and MEng/MSc degrees in Chemical Engineering from Universidad Técnica Federico Santa María, Chile. Her research focuses on dynamic process modelling, control strategies, and optimisation with a sustainable emphasis, particularly in mineral processing and knowledge representation. She has contributed to the Advanced Minerals Processing Research Group and the Future Targeted Healthcare Manufacturing Hub . Key areas of expertise include: Modelling and simulation of chemical processes Control engineering and machine learning integration Mineral processing optimisation Supply chain systems for sustainable manufacturing She serves on the Early Career Advisory Board for Control Engineering Practice (IFAC/Elsevier) and has received the MEI Young Person's Award (2021) and Society of Chemical Industry Scholarship (2020). Scientific contributions are documented via ORCID 0000-0002-7717-0556 . Advisory and collaborative opportunities at Brunel University can be pursued by contacting her at paulina.quintanilla@brunel.ac.uk or p.quintanilla@imperial.ac.uk for Imperial-related work.

• Renewable Energy
• Solar Thermal Energy
• Energy Storage
• +9 more

Dr Leok Lee is a Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide . He is also an active member of the Centre for Energy Technology , contributing to cutting-edge research in renewable energy systems. Research Interests: Renewable energy systems, with a focus on solar thermal energy and energy storage. System integration and optimisation of complex transient energy systems. Computational fluid dynamics (CFD) and experimental design for energy applications. Decarbonisation of heavy industry through clean energy technologies. His research spans from fundamental studies in heat transfer and fluid mechanics to applied engineering solutions for decarbonising industrial processes. He has led and contributed to projects funded by ARENA and HILT CRC, targeting the integration of concentrated solar thermal energy into industrial applications such as the Bayer Alumina process. Supervision & Mentorship: Dr Lee is eligible to supervise Masters and PhD students and actively mentors undergraduate, Masters, and PhD candidates. He encourages prospective students to contact him via email to discuss research opportunities. Contact: Email: leok.lee@adelaide.edu.au Location: Room 3, Engineering South, North Terrace Campus

Francesca PianosiView profile

Associate Professor

• Water Resource Management
• Hydrology
• Environmental Modelling
• +5 more

Dr Francesca Pianosi is an Associate Professor in Water & Environmental Engineering at the University of Bristol 's School of Civil, Aerospace and Design Engineering. She contributes to the Cabot Institute for the Environment and leads research on data analysis, mathematical modelling, and uncertainty quantification for hydrology and water engineering. Specialises in simulation and optimisation methods for water resource management Focuses on uncertainty propagation in natural hazard models Developed the open-source SAFE Toolbox for sensitivity analysis Research Trends Her recent publications (2023-2025) demonstrate expertise in: Groundwater flow and recharge in data-scarce regions Digital Twin applications for watershed management Climate change impact on landslides and droughts Multi-objective optimisation for reservoir operations Integration of machine learning with hydrological models Scientific Awards Arne Richter Award for Outstanding Young Scientists (2015) Best Research Oriented Paper - Journal of Water Resources Planning and Management (2024) Early Career Research Excellence (ECRE) award (2014) Francesca leads the Water Management and Adaptation based on Watershed Digital Twins project (2024-2027) and contributes to the USARIS project on uncertainty quantification for infrastructure systems (2023-2025).

• Multiphase Systems Engineering
• Carbon Capture and Storage (CCS)
• Sustainable Industrial Processes
• +6 more

Professor Ronny Pini is a Professor of Multiphase Systems at Imperial College London's Department of Chemical Engineering within the Faculty of Engineering. His research focuses on sustainable industrial processes, particularly carbon capture and storage (CCS), porous media dynamics, and imaging-based process design. He holds a PhD in Mechanical and Process Engineering from ETH Zurich and has held academic positions including Senior Lecturer and Reader at Imperial College since 2015. His educational background includes a Postdoctoral fellowship at Stanford University (2010-2013) and prior roles at the Colorado School of Mines. Research interests span multiphase flow mechanics, adsorption science, and environmental engineering applications. Key projects include the InFUSE Prosperity Partnership and Digital Rocks Lab, leveraging X-ray tomography, positron emission tomography, and computational models to study subsurface CO2 storage and sustainable materials. Professor Pini's work integrates chemical engineering with material science and earth sciences, addressing global challenges like industrial decarbonisation. He collaborates on developing advanced imaging techniques to characterise porous media behavior and optimise processes for energy transition. Current focus areas include direct air capture technologies and enhancing oil recovery via CO2 utilisation. His research outputs include over 150 peer-reviewed articles, with recent emphasis on adsorption-based CO2 capture systems, pore-scale transport phenomena, and sustainable process design frameworks. He is actively involved in training early-career researchers through Imperial College's Chemical Engineering programs and international collaborations.