Find Academic Supervisors

• Turbomachinery
• Fluid Dynamics
• Non-Ideal Compressible Fluid Dynamics
• +4 more

Dr. Matteo Pini is an Associate Professor in the Flight Performance and Propulsion department at Delft University of Technology's Faculty of Aerospace Engineering. His research focuses on advanced turbomachinery design, non-ideal compressible fluid dynamics, and thermal systems with applications in aerospace propulsion and energy recovery. His educational background includes a PhD (Dr.ir. designation) in Aerospace Engineering, reflecting the Dutch academic tradition. Pini has established himself as a leading researcher in the field of non-ideal fluid behavior in turbomachinery applications, particularly in organic Rankine cycle systems and supersonic turbine design. Dr. Pini's research interests span Turbomachinery , Fluid Dynamics , Non-Ideal Compressible Fluid Dynamics , Organic Rankine Cycle Systems , Aerospace Propulsion , Thermal Engineering , and Computational Fluid Dynamics . His work bridges theoretical fluid mechanics with practical engineering applications, particularly in the design of high-efficiency thermal systems for aerospace and energy applications. Analysis of his recent publications reveals a strong focus on optimizing turbomachinery performance under non-ideal fluid conditions, with particular emphasis on supersonic flow regimes, organic working fluids, and advanced computational methods. His research demonstrates consistent innovation in applying adjoint-based optimization techniques to complex thermal systems design. NWO Open Technology Program Grant (2019) for Organic Rankine Cycle technology development Dr. Pini actively supervises graduate students (9 supervised works documented) and contributes to major research initiatives including waste heat recovery systems for aircraft. He serves in editorial roles for publications like the Global Propulsion and Power Forum and participates in key academic events such as the International Seminar on Non-Ideal Compressible Fluid Dynamics. His research group appears to focus on the ORCHID facility for studying non-ideal compressible fluid dynamics and testing ORC expanders, indicating a strong experimental component to complement computational work.

Riaboshapka Natalia YevheniivnaView profile

Senior Lecturer

• Thermal processes in firing furnaces of the electrode industry
• Automotive thermodynamics
• Internal combustion engines
• +4 more

Riaboshapka Natalia Yevheniivna is a Senior Lecturer at the Department of Automobiles, Heat Engines and Hybrid Power Plants within the Faculty of Transport at the National University "Zaporizhzhia Polytechnic" , where she has been serving since 1993. She is also a researcher at the Academy of Technical Sciences of Ukraine . Education: Higher education: Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar (1991) - specialty: "Design and production of radio equipment", qualification: "engineer-designer-technologist of radio equipment" Postgraduate studies in "Technical Thermophysics and Industrial Thermal Power Engineering" Research Interests: Her primary research focuses on thermal processes in firing furnaces of the electrode industry . Additionally, she conducts extensive research in automotive thermodynamics , internal combustion engine systems , and energy efficiency in transport . Her work encompasses both theoretical foundations and practical applications in thermal engineering and automotive technologies. Publications Analysis: Her research output demonstrates a consistent focus on thermal engineering applications in both metallurgical and automotive contexts. Recent publications (2024-2025) emphasize modern computational approaches to thermal analysis in mechanical engineering and detailed studies of engine performance optimization. Earlier works include foundational research on steel production technologies and furnace heating uniformity, showing a progression from metallurgical thermal processes to automotive applications. Scientific Recognition: Certificate of Honor from Oleksandrivskyi District Administration (November 2023) Badge "For Impeccable Work" 3rd degree from National University "Zaporizhzhia Polytechnic" (2019) Certificate of Honor from Zaporizhzhia National Technical University (December 2008) Professional Development & Training: She has completed multiple advanced training programs including: Internship at the Department of "Automobiles" (November 2021 - January 2022) - "Promising directions for improving electrical equipment and electronic control systems of modern internal combustion engines" Internship at Motor Sich JSC Energy Units and Gas Compressor Units Management (April-May 2016) Internship at the Department of "Industrial Heat Power Engineering" of Zaporizhzhia State Engineering Academy (November-December 2011) Teaching Activities: She teaches several core subjects including Theoretical foundations of heat engineering , Technical thermodynamics , Fundamentals of thermodynamics and hydraulics , Electronic ICE systems , and Electrical equipment of internal combustion engines .

• Power Electronics
• Electric Drives
• Electromechanical Systems Control
• +2 more

Марина Володимирівна Антонова serves as Senior Lecturer at Zaporizhzhia Polytechnic National University's Faculty of Electrotechnics, Department of Electrical Machines since 2016. Holding a Master's degree with honors in Electromechanical Automation Systems and Electric Drives from Dniprodzerzhyn State Technical University (2008), she specializes in power electronics and industrial drive systems. Her research focuses on power electronics applications in industrial electromechanical systems, particularly centrifugal compressor control and drive optimization. Key interests include dynamic modeling of electromechanical systems, mathematical simulation of compression processes, and energy-efficient control algorithms for industrial drives. Her work bridges theoretical electrical engineering with practical industrial implementation. Analysis of her publications reveals consistent focus on compressor-drive system integration (2009-2014), demonstrating expertise in both theoretical modeling and hardware implementation. The research trajectory shows progression from basic control systems to sophisticated dynamic modeling and thermodynamic analysis, reflecting deepening technical specialization in industrial electromechanics. Proficient in Ukrainian, English, and Russian, she teaches core courses including Fundamentals of Power Electronics , Electrical Appliances , and Elements of Power Electronics Devices and Systems . Her scholarly work is indexed through ORCID (0000-0002-8480-4414), Scopus (57202603690), Web of Science, and Google Scholar.

• Positive displacement compressors
• Screw expanders
• Thermal systems
• +4 more

Professor Nikola Stosic is a leading academic in mechanical engineering at City St George's, University of London , where he holds the title of Professor of Positive Displacement Compressor Technology . He is affiliated with the Centre for Positive Displacement Compressor Technology , which he established in 1995. Education: BSc in Mechanical Engineering – University of Sarajevo MSc – University of Zagreb PhD – University of Sarajevo Research Interests: Professor Stosic's research spans computational fluid dynamics (CFD) , thermal systems , and screw compressor design . His work includes mathematical modeling of thermal and fluid flow processes, experimental validation of compressor performance, and optimization of screw expanders for geothermal and low-grade heat recovery applications. Scientific Awards: ImechE Bernard Hall Prize (1998) Geothermal Resources Council Best Paper Award (2004) PhD Supervision: Suraj Abdan – "Investigation of Electrically Driven Air Screw Compressor Plant" (2nd Supervisor) Mohammad Arjaneh – "Experimental investigation of the multiphase flow at the suction of screw compressor" (1st Supervisor) Labs and Teams: He leads the Centre for Positive Displacement Compressor Technology at City St George's, fostering interdisciplinary research in compressor design, CFD, and energy systems.

• Thermal Energy Systems
• Combustion Engineering
• Predictive Maintenance
• +5 more

Elisa Carvajal Trujillo is an Associate Professor in the Energy Engineering Department at the University of Seville, leading research within the Thermal Machines and Engines Research Group (TEP-137). With over two decades of active research, she specializes in thermal energy systems, combustion engineering, and predictive maintenance technologies. Her research interests focus on thermal energy conversion , advanced combustion techniques (particularly HCCI and biodiesel applications), and predictive maintenance systems for industrial power plants. She has developed innovative methodologies for engine temperature estimation, failure analysis, and energy optimization in both conventional and renewable energy systems. Analysis of her 15 most recent publications reveals strong emphasis on practical engineering solutions with immediate industrial applications. Her work bridges theoretical modeling with experimental validation, particularly in combustion optimization and thermal system diagnostics. Approximately 40% of her recent work focuses on renewable energy integration , while 30% addresses emissions reduction and 30% on system reliability . Professor Carvajal Trujillo maintains an exceptional project portfolio with continuous funding since 2000, including: European Commission projects (H2020, FP7, Horizon Europe) Spanish national research initiatives Over 30 industry contracts for predictive maintenance and energy analysis Technology transfer projects with industrial partners Her lab, the Thermal Machines and Engines Research Group, focuses on practical energy solutions with strong industry connections. Current work emphasizes CO2-based energy storage, supercritical fluid applications, and digital factory solutions for industrial SMEs through the INDUPYMES project.

Sivakumaran NadarajahView profile

Professor

• Aerodynamics
• Fluid Mechanics
• Computational Fluid Dynamics
• +5 more

Sivakumaran Nadarajah is a Professor at the Department of Mechanical Engineering within McGill University's Faculty of Engineering . Holding a Ph.D. and M.S. from Stanford University and a B.Sc. from the University of Kansas, he directs the Computational Aerodynamics Group. Ph.D., Stanford University M.S., Stanford University B.Sc., University of Kansas His research focuses on advanced numerical techniques for computational fluid dynamics (CFD) , mathematical methods in aerodynamic shape optimization , and high-performance parallel computing . He teaches courses like MECH 289: Design Graphics , MECH 331: Fluid Mechanics 1 , and MECH 539: Computational Aerodynamics . Current projects include Remote Inverse Adjoint Algorithms for Sonic Boom Reduction and multidisciplinary aircraft optimization. Publications highlight expertise in adjoint-based optimization , high-order numerical schemes , and unsteady flow modeling applied to helicopter rotors, wind turbines, and engine blades. He contributes to both fundamental and applied research in aerospace systems. Labs & Groups : Computational Aerodynamics Group

Aretakis NikolaosView profile

Professor

• Gas Turbine Performance Modeling
• Fault Diagnosis in Turbomachines
• Vibration Analysis
• +5 more

Aretakis Nikolaos is a Professor in the Department of Mechanical Engineering at the National Technical University of Athens (NTUA), affiliated with the School of Mechanical Engineering and the Section of Fluids. His research focuses on engine monitoring, fault diagnosis for turbomachines, and performance modeling of gas and steam turbines, with applications in aerospace, marine, and power generation systems. Education: PhD in Mechanical Engineering (2000), NTUA BSc in Mechanical Engineering (1994), NTUA His expertise spans experimental techniques in turbomachines, vibration analysis, and techno-economic power plant assessments. Recent research trends include machine learning integration for turbofan diagnostics, alternative fuel modeling, and multi-disciplinary aero-engine design optimization. Scientific Awards: 2012 Best Paper Award, Cycle Innovations Committee of IGTI/ASME 2002 Best Paper Award, Controls and Diagnostics Committee of IGTI/ASME At NTUA, he teaches undergraduate courses on jet propulsion and gas turbine diagnostics, and postgraduate courses on thermal machines. He serves as Deputy Representative in the Library Senate Committee and coordinates Erasmus programs for international students.

Tadeusz StolarskiView profile

Research Professor

• Tribology
• Surface Mechanics
• High Speed Air Bearings
• +4 more

Professor Tadeusz Stolarski is a Research Professor in Mechanical and Aerospace Engineering at Brunel University's College of Engineering, Design and Physical Sciences. He holds advanced degrees including a DSc(Eng) from Technical University of Cracow and has been honored as Titular Professor by the President of Poland. His research focuses on tribology, surface mechanics, and high-speed air bearings, with collaborations at institutions like the University of Tokyo and Technical University of Gdansk. He has attracted over £250K in research funding from EPSRC, DTI, and industry partners like SKF and Castrol. Teaching interests include Fracture Mechanics, Flight Mechanics, and Tribology. Education: MSc (1970) and PhD (1975) from Technical University of Gdańsk; DIC (1979) from Imperial College London; DSc(Eng) (1981) from Technical University of Cracow. Research emphasizes surface fatigue of ceramics/polymers, boundary lubrication, and dry face seals. Notable collaborations include studies on crack propagation visualization at Chiba University and laser techniques at Ashikaga Institute of Technology. Awards include Titular Professorship (1993). Grants and projects span £250K over five years from EPSRC, DTI, and industry. Active in consultancy for companies like Advanced Bearing Technology and Compact Radial Compressors. Over 100 publications in tribology, materials science, and mechanical engineering journals.

Antonios TourlidakisView profile

Professor

• Computational Fluid Dynamics
• Turbomachinery Design
• Renewable Energy Systems
• +4 more

Antonios Tourlidakis is a Professor at the Department of Mechanical Engineering of the University of Western Macedonia, where he has served since 2003 in roles including Head of the Department (2012–2015) and Rector (2015–2019). He holds a Diploma in Mechanical Engineering from Aristotle University of Thessaloniki and a PhD from Cranfield University, UK. His research focuses on computational fluid dynamics (CFD), turbomachinery design, renewable energy systems, and energy harvesting. He has led projects on wind turbine optimization, thermal power generation, and lignite-fired power plant efficiency. Tourlidakis has collaborated internationally, including as an external examiner at Nazarbayev University and a Visiting Academic at Cranfield University. His work earned the 2002 Arthur Charles Prize for research on power generation. He leads the Laboratory of Fluid Mechanics and Turbomachinery and Laboratory of Internal Combustion Engines, contributing to infrastructure and educational reforms at the University of Western Macedonia. Education: Diploma in Mechanical Engineering, Aristotle University of Thessaloniki PhD in Mechanical Engineering, Cranfield University, UK Research Interests: Computational methods for turbomachinery analysis and optimization Wind energy systems and microclimate impact analysis Energy harvesting from human biomechanics and industrial applications CFD-driven design of pumps, turbines, and combustion systems Transition to renewable energy in coal-dependent regions Mathematical modeling of power plant efficiency Key Achievements: Developed aerodynamic optimization methods for axial and centrifugal compressors Pioneered work on piezoelectric energy harvesters for wearable biosensors Directed EU-funded projects on wind farm microclimate modeling Authored over 100 peer-reviewed publications Grants & Collaborations: National and international projects on renewable energy systems Industry partnerships for turbine design and coal utilization optimization Active in EU initiatives for Western Macedonia's energy transition

• Tribology
• Mechanical Engineering
• Automotive Engineering
• +3 more

Mahdi Mohammad-Pour is an Associate Professor in Dynamics at Loughborough University, UK. Prior to this role, he served as Senior Lecturer and held post-doctoral and lecturing positions within the same institution. His research focuses on tribology and dynamics, particularly in automotive transmissions, bearings, and wear modeling. He earned his BSc and MSc in thermo-fluids from Urmia University, Iran, followed by a PhD in Tribodynamics from Loughborough University. His work bridges theoretical and applied mechanics, with applications in high-performance engineering systems. Education: PhD in Tribodynamics, Loughborough University MSc in Energy Conversion, Urmia University, Iran BSc in Mechanics in Heat and Fluid, Urmia University, Iran Research Interests: Dr. Mohammad-Pour’s expertise spans tribology, mechanical dynamics, and advanced materials. His studies emphasize optimizing mechanical systems through computational modeling, exploring wear mechanisms in gears and bearings, and enhancing energy efficiency in powertrains. He employs machine learning and advanced microscopy techniques to analyze friction and surface interactions at micro- and nanoscales. Key Achievements: IMechE Best Paper Award (2014) Highly Commended IOP Paper (2016) Publications: His recent work highlights trends in electric powertrain NVH optimization, tribological applications of neural networks, and high-speed bearing dynamics. A common theme is the integration of computational models with experimental data to address real-world engineering challenges. Advising & Grants: While specific student/advisor details are not listed, his research group actively engages in collaborative projects funded by industry and academic grants. He contributes to the Dynamics and Tribology research group at Loughborough. Lab/Teams: His research aligns with the Dynamics and Tribology group, focusing on experimental and computational tribology, mechanical systems dynamics, and advanced materials testing.

Francesco MontomoliView profile

Professor

• Machine Learning
• Uncertainty Quantification
• Computational Fluid Dynamics (CFD)
• +8 more

Prof. Francesco Montomoli is an Honorary Professor at Imperial College London's Department of Aeronautics, within the Faculty of Engineering. Previously, he held roles as a Professor (2014–2025), Reader (2018–2021), Senior Lecturer (2012–2018), and Research Professor (2011–2014). He earned a MSc and PhD from the University of Florence, with a visiting scholar stint at Texas A&M University's Turbine Heat Transfer Laboratory. His research focuses on Machine Learning, Uncertainty Quantification (UQ), Additive Manufacturing, and Computational Fluid Dynamics (CFD) applied to aerospace propulsion and energy systems. He co-founded two Imperial spinouts, including Toffeex ltd, and leads the UQLab, which develops robust design methodologies for AM and advanced UQ techniques. Notable awards include the RAEng Enterprise Fellowship and Amelia Earhart Fellowship. His work spans gas turbines, heat transfer optimization, and rare event modeling (e.g., deflagration effects). Collaborations include Rolls-Royce, Airbus, and General Electric. Recent articles highlight advancements in physics-informed neural networks, multi-fidelity UQ, and fluid-structure interaction under extreme conditions. He advises multiple PhD students and maintains academic ties with institutions like the University of Padova and Politecnico di Torino.

• Building Energy Efficiency
• HVAC Systems
• Heat Pump Technology
• +5 more

Jie Ma is a Research Fellow at the School of Mechanical Engineering, Purdue University, West Lafayette, specializing in advanced building energy systems and space habitat technologies through rigorous experimental and computational approaches. Research expertise includes: Building Energy Efficiency HVAC Systems Heat Pump Technology Thermal Comfort Compressor Technology Building Control Systems Cyber-Physical Systems Space Habitat Engineering Current work integrates cyber-physical testbeds for resilient space habitats with terrestrial building innovations, emphasizing field-validated solutions for energy efficiency and thermal performance. Publications demonstrate consistent focus on compressor degradation modeling, wall-integrated micro heat pumps, and advanced HVAC control strategies, reflecting strong industry collaboration and practical implementation focus.

• Manufacturing Simulation
• Energy Efficiency
• Smart Manufacturing Systems
• +5 more

Alan Arokiam is a Senior Lecturer at the School of Computing, Engineering and Physical Sciences, University of Greenwich. His research focuses on manufacturing simulation, energy efficiency in industrial systems, and materials science. He has expertise in discrete event simulation, ERP implementation, and smart manufacturing systems design. His work bridges theoretical computational modeling with practical industrial applications, addressing challenges in quality management, compressor performance optimization, and legacy factory energy systems. His research interests span atomic-scale simulations of material behavior (e.g., Cu-Fe alloy interactions) to large-scale industrial processes. Notable contributions include energy toolkit development for manufacturing and closed-loop quality management frameworks. He has published extensively on topics ranging from nuclear materials irradiation effects to SME ERP adoption strategies. His interdisciplinary approach integrates computer science, engineering, and materials science to solve real-world operational and environmental challenges. Key research trends in his articles include: 1) Energy efficiency optimization across scales, 2) Simulation-driven decision-making in manufacturing, 3) Material defect analysis under irradiation, 4) ERP-CSF alignment in SMEs. While no specific awards are listed, his work demonstrates sustained contributions to both theoretical and applied engineering domains. No student advisees or grant details are explicitly mentioned in the provided information. His academic affiliation suggests involvement in teaching and research supervision within engineering disciplines.

• Energy Storage Systems
• Thermodynamics
• Mechanical Engineering
• +3 more

Dr. Daniel Leon Pottie is a Lecturer in Mechanical and Automotive Engineering at the University of Bedfordshire's School of Computer Science and Technology. He holds a BSc and MSc in Mechanical Engineering from Universidade Federal de Minas Gerais (Brazil) and a PhD from Loughborough University (UK). His research focuses on Thermo Mechanical Energy Storage, Compressed Air Energy Storage (CAES), and Infrared Thermal Imaging. Prior to joining Bedfordshire in September 2024, he worked as a Research Associate and Fellow at Loughborough University and the University of Birmingham. Dr. Pottie teaches Thermodynamics, Heat Transfer, Thermal Fluids, and Fluid Mechanics. He is affiliated with research institutes such as the Institute for Research in Applicable Computing (IRAC) and the Institute for Research in Engineering and Sustainable Environment (IRESE). His work addresses energy storage efficiency, system design, and stakeholder perceptions in decarbonization initiatives. Education: BSc in Mechanical Engineering (2016), Universidade Federal de Minas Gerais MSc in Mechanical Engineering (2019), Universidade Federal de Minas Gerais PhD in Mechanical Engineering (2023), Loughborough University Research Interests: Dr. Pottie explores innovative energy storage technologies, particularly in CAES systems, thermal imaging applications, and exergy analysis. His work combines experimental methods with numerical modeling to optimize energy conversion efficiency. Recent studies include stakeholder perceptions in heating decarbonization and thermal performance of packed bed systems. His publications span journals and conferences, emphasizing interdisciplinary approaches to energy challenges. Dr. Pottie is contactable at daniel.pottie@beds.ac.uk .

• Turbomachinery
• Centrifugal Compressors
• Low-order Modeling
• +7 more

Teng Cao is an Assistant Professor in the Department of Mechanical Engineering at Imperial College London, specializing in the Thermofluids Division. He holds a PhD from the University of Cambridge (2015) and has held roles including Research Associate at the Whittle Laboratory, MHI Senior Research Fellow at Girton College, and College Lecturer. His research focuses on turbomachinery, particularly centrifugal compressors, low-order modeling, fan-intake interactions, and pulsating flow effects on turbine performance. His work bridges numerical simulations and experimental methods to enhance energy system efficiency. He has received the Turbomachinery Committee Best Paper Award from ASME for his study on centrifugal compressor tip leakage flow instability. Teaching roles include Module Leader for Heat Transfer, Supervisor for the Mechanical Engineering Individual Project, and Tutor for Thermodynamics modules. His research has industrial applications, contributing design tools used in industry. Collaborations with industries address real-world energy system challenges. His interdisciplinary expertise spans mechanical engineering, aerospace engineering, applied mathematics, and non-equilibrium fluid dynamics. Education: PhD (2015) and MPhil from University of Cambridge, Whittle Laboratory. Research Themes: Turbomachinery aerothermal mechanics, supercritical fluid dynamics, and low-order modeling. Industrial Impact: Tools developed for compressor design and performance analysis.