Find Academic Supervisors

• Turbomachinery Design Optimization
• Turbine Blade Cooling
• Aircraft Propulsion
• +5 more

Dr Ali Bahr Ennil is a Lecturer in Aircraft Propulsion and Gas Turbine Engines at the University of Salford, based within the School of Science, Engineering & Environment . He is a Fellow of the UK Higher Education Academy (FHEA) and has built an international profile in turbomachinery design optimisation for renewable-energy applications. Education & Qualifications PhD in Mechanical Engineering, University of Birmingham (2016) MSc (Hons, First Class) in Mechanical Engineering, Military Technical College, Egypt (2011) BSc in Aeronautical Engineering, Engineering Academy Tajoura, Libya (2003) Research Interests Dr Ennil’s work integrates advanced computational methods with practical propulsion challenges. Core themes include: Turbomachinery Design Optimisation: CFD-driven shape optimisation of axial and radial turbines for enhanced aerodynamic efficiency. Blade Cooling & Aero-thermal Design: Film-cooling studies to manage thermal loads in high-performance gas turbines. Green Propulsion & Energy Storage: Development of small-scale, hydrogen-compatible turbines and hybrid-electric aircraft propulsion concepts. Renewable Power Cycles: ORC and Brayton cycle integration with solar, low-grade heat, and compressed-air energy storage systems. Publication Trends Across 11 outputs (2015–2024), Dr Ennil demonstrates a clear trajectory toward multidisciplinary optimisation of small-scale axial turbines. His 2024 article extends CFD/FEA coupling for blade design, while earlier works systematically explored ORC and Brayton cycle turbines for solar and low-temperature heat sources. Continuous use of evolutionary algorithms and ANSYS CFX underlines a commitment to high-fidelity simulation and experimental validation. Scientific Awards & Recognition Fellow of the UK Higher Education Academy (FHEA) Supervision & Grants Dr Ennil currently welcomes doctoral and master’s candidates in the following areas: Turbomachinery Design Optimisation Aerodynamic Design Optimisation using CFD Modelling Aircraft Hybrid-Electric Propulsion Development Hydrogen Storage Design Optimisation Laboratory & Centre Affiliations He carries out research within the Energy House Labs Innovation Institute and collaborates across the University of Salford’s interdisciplinary centres focusing on future engineering and environmental sustainability.

K.P. SandeepView profile

Professor

• Food-process engineering
• Thermal and aseptic processing
• Microwave sterilisation of particulate foods
• +5 more

K.P. Sandeep is Professor and Department Head in the Department of Food, Bioprocessing & Nutrition Sciences at North Carolina State University’s College of Agriculture and Life Sciences. He leads a multidisciplinary programme that integrates food engineering, advanced thermal processing, sensor technology and sustainable packaging to assure microbiologically safe, high-quality food products. Education: Ph.D. Agricultural & Biological Engineering, Pennsylvania State University, 1996 M.S. Agricultural & Biological Engineering, Pennsylvania State University, 1993 B.S. Agricultural Engineering, Indian Institute of Technology, 1991 Research focus: Sandeep’s group mathematically models velocity and temperature fields during conventional and microwave thermal processing of particulate foods, develops novel in-line sensors for real-time process monitoring, and creates biodegradable packaging materials via extrusion and nanotechnology. A central aim is microbiological validation that guarantees commercial sterility while optimising product quality. Teaching & outreach: He teaches undergraduate and graduate courses (Principles of Food and Bioprocess Engineering, Thermal Processing, Food Packaging) and regularly delivers industry workshops on HTST dairy systems, heat-exchanger design, and continuous-flow microwave processing. As site director for NSF’s Center for Advanced Processing and Packaging Studies (CAPPS), he fosters university-industry collaboration and runs a Thermal Analysis Service Center that measures thermo-physical and dielectric properties for food companies. Honours: His microwave-processing team has been recognised with the IFT Industrial Achievement Award, USDA Technology Transfer Award, and inclusion in NSF’s technology-breakthrough compendium; commercialisation efforts have created roughly 230 jobs via Yamco LLC and Wright Foods.

Bernard Hernandez PerezView profile

Research Fellow

• Machine Learning
• Healthcare Informatics
• Infectious Disease Diagnostics
• +6 more

Bernard Hernandez Perez is a Research Fellow at the Department of Infectious Disease, Faculty of Medicine, Imperial College London. He holds a PhD in Computer Science & Healthcare (2019) from Imperial College London, an MSc in Machine Learning from the Royal Institute of Technology (KTH), and dual BSc degrees in Telecommunications and Computer Science from Rey Juan Carlos University. His research focuses on developing AI-driven decision support systems for infectious diseases and antimicrobial resistance surveillance, particularly in low-resource settings. Affiliations: Centre for Antimicrobial Optimisation National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Healthcare Associated Infections and Antimicrobial Resistance Centre for Bio-Inspired Technology Research Interests: His work integrates machine learning and wearable technologies to improve diagnostics for acute febrile illnesses, optimize antimicrobial stewardship, and enhance healthcare decision-making through data-driven approaches. Recent efforts include developing low-cost wearable solutions for dengue monitoring and creating AI tools to support antimicrobial prescribing decisions. Grants & Awards: Imperial College Techcelerate Prize (2020) Labs/Teams: Participates in multidisciplinary teams including the VITAL consortium for dengue research and the NIHR HPRU for AMR surveillance initiatives. Engages in global health collaborations in Vietnam and sub-Saharan Africa.

Siobhan ReidView profile

Senior Lecturer

• Clinical biomechanics
• Human movement analysis
• Exercise rehabilitation
• +7 more

Siobhan Reid is a Senior Lecturer in the School of Human Sciences at The University of Western Australia. With 20 years of experience in clinical biomechanics, she specializes in understanding human movement and exercise rehabilitation for individuals with disabilities, particularly those with neuromuscular disorders such as Cerebral Palsy. She serves as the Course Coordinator for the Masters of Clinical Exercise Physiology program and the Combined Bachelor-Masters in Clinical Exercise Physiology. Dr. Reid teaches several units including SSEH3555 - Motor Development: Principles to Teaching in Practice, SSEH5667 - Clinical Paediatrics & Disability, and SSEH5645 - Workplace Injury and Prevention Research. She also leads the School's Paediatric Exercise Programs, which provide movement and physical activity opportunities for children aged 3 to 18 years who have difficulty learning fundamental movement skills. Her research focuses on rehabilitation for those with neurodevelopmental disability and disease, with specific interests in evidence-based practice for managing children with cerebral palsy, musculoskeletal and neurodevelopmental pathways in cerebral palsy, and exercise rehabilitation for children with neurodevelopmental disabilities. Her work contributes to UN Sustainable Development Goals related to health and wellbeing. Dr. Reid's research output reveals a strong focus on developmental coordination disorder, cerebral palsy management, and physical activity interventions. Her work spans biomechanics, clinical gait analysis, and rehabilitation strategies, with significant contributions to understanding movement difficulties across various neurodevelopmental conditions. UWA Award for Excellence in Teaching (2022) BrightSpark Fellowship ($278,000) for 'Hitting the Right Spot: Optimising treatment with Botulinum Neurotoxin Type A in children with Cerebral Palsy' (2013-2017) Travel Grant from Ian Potter Foundation for American Academy of Cerebral Palsy & Developmental Medicine (2009) Dr. Reid actively supervises PhD and Higher Degree by Research students, currently accepting new candidates. She has secured substantial research funding including an NHMRC MRFF grant of $1.5M (2022-2027) for the CPMovetime project, a Waterloo Foundation grant of $120,000 (2020), and multiple UWA Research Development Awards. Her collaborative work extends across institutions including University of Queensland and international partners. She leads the School's Paediatric Exercise Programs and has been instrumental in developing community initiatives to connect children with disabilities to leisure activities through technology solutions.

• Mechanical Engineering
• Structural Engineering
• Materials Science
• +7 more

Prof Zhen (Jeff) Luo is a Professor at the School of Mechanical and Mechatronic Engineering at the University of Technology Sydney (UTS). Since 2012, he has led the Advanced Metamaterials & Metastructures (AMM) and Engineering Computation and Optimisation (ECO) research groups, focusing on multi-disciplinary engineering innovations. Expertise : Advanced materials design, topology optimization algorithms, additive manufacturing, and computational mechanics. Education : PhD in Mechanical Engineering from Huazhong University of Science and Technology (2005). His research bridges Mechanical, Structural, Aerospace, and Biomechanical Engineering , developing cutting-edge metamaterials and computational methods. Recent work includes two-scale lattice optimization , stochastic bandgap analysis , and machine learning-aided virtual modeling for structural reliability. Key contributions span 3D-printed heat sinks , frequency-selective surfaces , and hydrogen storage systems . As a World’s Top 2% Scientist (Stanford, 2019–present), he has secured over AUD $7 million in grants, including from the Australian Research Council (ARC) and National Intelligence Discovery Research Grants (NI220100074). Awards : IAAM Scientist Award, IAAM Fellow. Leadership : Editorial roles in Structural and Multidisciplinary Optimization , Frontiers in Bioengineering and Biotechnology , and organizing roles in 21 international conferences.

Carl ScarthView profile

Researcher

• uncertainty quantification
• data science
• machine learning
• +4 more

Dr Carl Scarth is a Researcher in the Department of Mechanical Engineering at the University of Bath. His work focuses on data-driven methods for composite aircraft structures, addressing uncertainties, manufacturing defects, and process features. Key research areas include uncertainty quantification, machine learning, composite design, and aeroelasticity. Education: MEng in Engineering Design with study in industry from the University of Bristol (2010), specialising in structural mechanics and nonlinear dynamics; PhD in Advanced Composites from ACCIS CDT (2017), sponsored by Embraer. Carl's research applies Bayesian methods and finite element analysis to optimize composite aerospace components. Notable projects include the EPSRC ADAPT and CerTest programme grants, targeting high-rate manufacturing defect reduction and experimental-numerical data fusion. His collaborations span Embraer, Swansea University, and EPFL.

• Wind Energy
• Hybrid Renewable Energy Systems
• Energy Transition
• +13 more

Professor Alireza Maheri is a Personal Chair in the School of Engineering at the University of Aberdeen, where he has been a faculty member since 2016. He previously served as a Senior Lecturer at Northumbria University and held a research position at the University of Bristol. His academic journey includes a BSc from Shiraz University, an MSc from Amirkabir University of Technology, and a PhD from UWE Bristol, all in Mechanical Engineering. BSc in Mechanical Engineering, Shiraz University MSc in Mechanical Engineering - Energy Conversion, Amirkabir University of Technology PhD in Mechanical Engineering - Design and Simulation of Adaptive Aero-structures, UWE Bristol His research focuses on renewable and sustainable energy systems, with key interests in wind energy, hybrid renewable energy systems (HRES), multidisciplinary design optimization, offshore wind farm decommissioning, and smart energy systems. He leads several high-impact research projects funded by EU-InterReg, Net Zero Technology Centre, and Innovate UK, among others. His work integrates advanced computational methods with real-world energy challenges, particularly in off-grid and island communities. The 15 most recent publications reflect a strong trend in optimization of hybrid energy systems, decommissioning cost modeling, decision support platforms, and algorithmic development for renewable integration. His research spans both technical innovation—such as ant colony algorithms and metaheuristic assessments—and practical implementation, including hydrogen production and load planning for machinery. Professor Maheri has received recognition through research grants, including a project funded by the Royal Aeronautical Society. He has also secured substantial funding from national and international bodies, demonstrating sustained excellence and impact. Net Zero Technology Centre: 'Data for Net Zero (D4NZ)', £992k, 2022–2025, CoI EU-InterReg: 'DecomTools', £240k, 2018–2023, PI National Decommissioning Centre PhD Studentship: 'DSS for Oil & Gas Decommissioning', £72k, 2019–2022, PI Scottish Funding Council SPRe-Industrial Collaboration: £78k, 2019–2023, PI Carnegie Trust PhD Scholarship: 'Wind Turbine Smart Blades', £60k, 2019–2022, Principal Supervisor He supervises a wide range of PhD students on topics including smart blades, hydrogen systems, energy management, and decommissioning. He is also actively involved in teaching, particularly as Course Coordinator for Energy Systems Integration (EG554T and EG554U). His leadership extends to editorial roles in journals such as Energies and Renewable Energy , and he has chaired multiple international conferences. He serves on research proposal review panels for EPSRC, Royal Society, and DAAD, and has acted as an external examiner for MSc programs at Cranfield University. Professor Maheri leads the Applied Dynamics and Structures Research Group and is affiliated with the Centre for Energy Transition. He collaborates with institutions and industries across the UK, Europe, China, Mauritius, and Jordan, fostering international research partnerships in sustainable energy and engineering design.

• Computer-Aided Design
• Additive Manufacturing
• Machine Learning
• +5 more

Dr. Murat AYDIN is a full-time Assistant Professor (Dr. Lecturer) at Karabük University, Faculty of Technology, Department of Industrial Design Engineering, where he has also served as Vice-Dean since 2022 and Head of Department since 2021. His entire academic career since 2008 has been spent at Karabük University and briefly at Düzce University. Education PhD in Mechanical Education, Karabük University, 2019 MSc in Mechanical Education, Karabük University, 2009 BSc in Design & Construction Teaching, Bülent Ecevit University, 2006 Associate Degree in Technical Programs, Selçuk University, 2003 Research Interests His work centres on the intersection of digital design and manufacturing, spanning computer-aided design & manufacturing , additive manufacturing , machine learning , image processing , and finite-element analysis . Within these themes he investigates process optimisation, mechanical characterisation of printed parts, formability of sheet metals, and advanced sensing techniques such as digital image correlation. Across 41 publications and 33 conference presentations from 2008 to 2024, a clear evolution is visible: early studies on hydraulic sheet-metal forming have gradually expanded to embrace 3D printing, composite filaments, and machine-learning-driven design optimisation, positioning him at the forefront of Industry 4.0-oriented research. Scientific Recognition & Service Associate Editor, International Journal of 3D Printing Technologies and Digital Industry (2022–present) Editorial board member and frequent organiser of national & international congresses on 3D printing and industrial design Peer reviewer for Journal of Cleaner Production and other leading journals Advising & Funding He currently supervises four master’s students on topics ranging from medical-device prototyping to the use of 3D printing in composite aerated-concrete production. His research has been funded by five competitive grants, including two TÜBİTAK-supported national projects (total ≈ ₺1.8 M) and an EU-UNESCO project on 3D printer design curricula. Laboratory & Team He leads the Additive Manufacturing & Digital Design Laboratory at Karabük University, a facility equipped with multi-material FDM printers, high-resolution DIC systems, and tensile-testing rigs, hosting a multidisciplinary team of graduate researchers and industry collaborators.

• Computational Fluid Dynamics
• Design Optimisation
• Material Selection

Dr Dani Harmanto is an Associate Professor in Aeronautical Engineering at the School of Engineering and Sustainable Development, De Montfort University, Leicester. He is a chartered engineer with over 20 years of experience in UK higher education. His educational background includes: PhD in Automotive Engineering from Coventry University, UK MSc in Automotive Engineering from Coventry University, UK Bachelor's degree in Mechanical Engineering from Institut Teknologi Malang, Indonesia Dr Harmanto's research focuses on multidisciplinary areas including Computational Fluid Dynamics, Design Optimisation, and Material Selection. He integrates material science, design optimization, and fluid dynamics to address engineering challenges in sustainable energy systems and aeronautics. His work emphasizes practical applications in thermal management and aerodynamic efficiency. He has been recognized as an Inspirational Lecturer by the School of Engineering and Sustainable Development at De Montfort University in 2023. Inspirational Lecturers 2023 | School of Engineering and Sustainable Development, De Montfort University Dr Harmanto actively supervises postgraduate research, currently guiding Teerapath Limboonruang's PhD on optimizing heat transfer in solar parabolic trough collectors. He maintains strong research collaborations with Indonesia and other Far East nations, leveraging his background to develop sustainable research ecosystems and facilitate international partnerships in engineering education. He contributes to the Institute of Energy and Sustainable Development (IESD), holds Chartered Engineer status, and is a member of the Institution of Engineering Designers. His administrative roles include service on the Teaching and Learning committee (IED).

Anastasios KouvelasView profile

Lecturer

• Traffic flow theory
• System and control theory
• Optimization
• +10 more

Dr. Anastasios Kouvelas is a Lecturer at ETH Zurich, where he serves as head of the Road Traffic Engineering research group at the Institute of Transport Planning and Systems (IVT), Department of Civil, Environmental and Geomatic Engineering. He has held this position since August 2018, succeeding Dr. Monica Menendez who moved to New York University in Abu Dhabi. Prior to joining ETH Zurich, he was a research associate at the Urban Transport Systems Laboratory (LUTS) at EPFL (2014-2018) and a postdoctoral fellow at Partners for Advanced Transportation Technology (PATH) at the University of California, Berkeley (2012-2014). Dr. Kouvelas' research focuses on modeling, simulation, optimization and traffic flow control. His work aims to develop real-time solutions based on control theory and operations research methods. The Road Traffic Engineering group develops algorithmic solutions that are components of intelligent transportation systems used in traffic control centers. Recent technological advances in autonomous vehicles have expanded their research topics as the industry seeks efficient operational solutions for autonomous mobility. They are particularly interested in extending their work to the design of advanced management strategies for urban networks that utilize connected vehicles to improve traffic operations and develop network-wide control strategies that minimize environmental impacts. His recent publications (2023-2025) demonstrate strong focus on traffic prediction using deep learning techniques, bike lane allocation impacts on urban networks, transit network resilience against disruptions, vehicle trajectory extraction from aerial recordings, and traffic control for mixed traffic systems with connected and autonomous vehicles. His work bridges theoretical developments in control theory with practical traffic engineering challenges. Scientific Awards No specific scientific awards were mentioned in the provided information. Advising and Grants Dr. Kouvelas supervises PhD and Master's students in traffic engineering and intelligent transportation systems. His research is supported by various grants including a grant from the Hong Kong Research Grant Council (Grant No. GRF 11216323) for research on traffic speed prediction. Laboratories and Teams Dr. Kouvelas leads the multidisciplinary Road Traffic Engineering research group at IVT, which consists of researchers with backgrounds in civil engineering, electrical engineering, mechanical engineering, computer science, control, and operations research. The group's work spans multiple areas including traffic flow theory, traffic operations, connected and automated vehicles, and intelligent transportation systems.