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Charitha de Silva is a Senior Lecturer and Associate Head of School (Education) in the School of Mechanical and Manufacturing Engineering at the University of New South Wales. His research focuses on turbulent flows, advanced flow diagnostics, and aerobiology, with applications in microfluidics, biofluids, and noise control. He leads the Flow Noise Group and collaborates with institutions globally, including the University of Melbourne, Sydney, and international partners in Germany, the Netherlands, and the USA. Affiliations : UNSW School of Mechanical and Manufacturing Engineering, Flow Noise Group, Vision Fluid Dynamics Research Group Education : PhD (2014) and Bachelor of Engineering (Mechanical, First-class honours) from the University of Melbourne Dr. de Silva's research investigates wall-bounded flows, turbulent structures, and aerodynamic noise reduction. His work includes CFD modeling of infection risks in indoor environments and experimental frameworks for cough and sneeze dynamics. He actively supervises postgraduate students in turbulent flow measurements and microfluidics. Key collaborations involve aerosol transmission studies with public health researchers and aeroacoustic wind tunnel experiments. His lab facilities include an anechoic wind tunnel and advanced PIV systems for flow diagnostics.

• Turbulent flows
• Advanced Flow Diagnostics
• Aerobiology
• +3 more

Mousumi Rizia is a Research Fellow at the School of Computing, Australian National University (ANU). Her work bridges computer vision, medical imaging, and robotics with applications in healthcare and aerospace engineering. Previously, she held roles including Ph.D. Instructor at the University of Texas at El Paso (2021–2023), Research Associate at NASA Aerospace Center (2018–2022), and Assistant Professor at the Military Institute of Science and Technology (2015–2018). She earned her Ph.D. in Aerospace and Mechanical Engineering from the University of Texas at El Paso in 2022, focusing on real-time structural inspection methods. Her research interests span generative AI, neuroinformatics, and fluid mechanics. Notable projects include developing deep learning models for brain disease diagnosis and autonomous aerial inspection systems. She collaborates internationally on topics like edge computing for infrastructure monitoring and wind load simulations for complex structures. Rizia’s work frequently intersects robotics and medical imaging, with recent focus on generative adversarial networks (GANs) for disease progression modeling. Her prior research on wind effects on polygonal cylinders advanced fluid dynamics understanding in structural engineering contexts. She actively contributes to educational initiatives through her roles as a supervisor for student research projects and maintains affiliations with academic institutions in Bangladesh and the U.S. Her work has been presented at venues like the IEEE International Conference on Bioinformatics and Biomedicine.

• Computer Vision
• Medical Imaging
• Neuroinformatics
• +4 more

Professor Con Doolan is a leading academic in aeroacoustics and fluid dynamics at UNSW Sydney's School of Mechanical and Manufacturing Engineering. He heads the Flow Noise Group, focusing on noise reduction in aerospace, wind energy, and transport sectors. His research spans turbulence, fluid-structure interactions, and noise control, with over 400 publications. Education: PhD in Aerospace Engineering (University of Queensland), Honours in Mechanical Engineering. Leadership Roles: Director of Postgraduate Research Examinations (UNSW Engineering), Associate Dean (Education), UNSW College Academic Board member. Teaching: Courses in Aerodynamics, Flight Mechanics, and Acoustics. Research Interests: Aeroacoustics, flow-induced noise, acoustic beamforming, wind turbine noise, and turbulence physics. He collaborates with industries in defense, energy, and healthcare to translate research into practical solutions. Key Projects: UNSW Anechoic Wind Tunnel, Cough Dynamics Experiments, Classroom Air Quality Studies. His work on mask efficacy during pandemics has had global impact. Grants & Collaborations: Extensive ARC funding, partnerships with mining, aerospace, and construction sectors. Active in interdisciplinary projects like waste-to-noise-attenuation materials. Labs/Teams: Flow Noise Group (specializing in experimental and computational aeroacoustics), collaborations with medical and environmental teams for infection control studies.

• Aeroacoustics
• Aircraft Noise
• Wind Turbine Noise
• +5 more

Dr. Suvash C. Saha is a Senior Lecturer at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), Australia. His academic journey includes a PhD in Computational Fluid Dynamics from James Cook University and postdoctoral training at Queensland University of Technology. Research Focus: Computational Biomechanical Engineering, Heat & Mass Transfer, Microfluidics Modeling Key Applications: Lung surfactant particle interactions, Red Blood Cell dynamics, Thermal energy systems His recent publications demonstrate expertise in PEM water electrolyzers, natural convection systems, and microplastic inhalation risks. The work spans energy systems optimization, biomedical applications, and environmental health impacts. Dr. Saha's research has been recognized through Stanford University's Top 2% Scientists (2023) and Research.com Mechanical & Aerospace Engineering rankings (2025). His team actively explores: Computational modeling of respiratory and cardiovascular flows Thermal management using phase change materials Multiscale simulations from cellular to organ-level systems Microplastic-nanoparticle interactions in pulmonary systems Scientific Awards: Stanford's Top 2% Scientists (2023) in career-long and single-year categories Research.com Top Mechanical & Aerospace Scientist #86 in Australia (2025) Australia-India Strategic Research Fund Fellowship As lab director of the Computational Biofluid and Heat Transfer (CBHT) Lab, he supervises PhD students in advanced CFD modeling, thermal systems analysis, and biomedical engineering applications using ANSYS Fluent, COMSOL, and OpenFOAM.

• Computational Biomechanical Engineering
• Heat and Mass Transfer
• Microfluidics Modelling
• +6 more

Andrew Lock is a Research Fellow at the University of Southern Queensland , affiliated with the Institute for Advanced Engineering and Space Sciences. His work focuses on aerospace engineering, thermofluid dynamics, and numerical modeling, particularly in hypersonic aerodynamics, supercritical CO2 power cycles, and trajectory optimization. Education: PhD in Energy Systems at the University of Queensland; BEng (Hons I) in Mechanical Engineering at the University of Tasmania. Research interests include hypersonic vehicle design, aerothermal dynamics, nonlinear optimization, and state estimation using Kalman filters. He collaborates with global organizations like NASA, Northrop Grumman, and JAXA on re-entry and hypersonic rocket projects. Recent publications highlight co-design frameworks for hypersonic vehicles, Bayesian state estimation for aerodynamic measurements, and advancements in sCO2 power cycles. His work integrates open-source tools like Python and Linux for simulation and data analysis. Scientific Awards: Best Paper, AIAA Ground Testing Technical Committee.

• Hypersonics
• Aerospace Engineering
• Numerical Modeling
• +4 more

Academic Profile Dr. Adnan Sufian is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, University of New South Wales (UNSW Sydney). He holds a PhD (2017) and BE (2012) in Civil Engineering from UNSW, with research visits to MIT. Prior academic roles include positions at Imperial College London and the University of Queensland. He also has industry experience at SMEC Australia on major infrastructure projects. Research Focus Dr. Sufian specializes in multi-scale mechanics of granular materials, investigating fluid-particle interactions through computational (DEM, CFD-DEM), experimental, and theoretical approaches. His work addresses geotechnical challenges including erosion, landslides, and contaminant transport, with applications in infrastructure, environmental management, and industrial processes. Current projects focus on internal erosion in dams, particle migration, and climate-resilient infrastructure. Publications & Trends Recent articles (2019-2025) demonstrate strong emphasis on granular material behavior under hydraulic/mechanical stresses, featuring advanced computational techniques like pore-network modeling and coupled CFD-DEM. Key themes include internal erosion mechanisms, filtration dynamics, soil-fluid interactions, and microstructural analysis. Publications consistently appear in top geotechnical journals including Geotechnique and Computers and Geotechnics . Awards & Recognition Best Paper Award (Early Career Researcher), Australasian Conference on Computational Mechanics (2019) Best Paper Award (Postgraduate Student), Australasian Conference on Computational Mechanics (2015) UNSW Geotechnical Discipline Prize (2011) Grants & Projects ARC Discovery Early Career Researcher Award (2024-2026): Predicting internal erosion in dams using real-time coupled experiments ARC Early Career Industry Fellowship (2023-2026): Safeguarding dams/levees from internal erosion NSERC Alliance Award (2023-2024): Internal erosion in hydroelectric dams (with Zheng) Research Leadership Supervises HDR projects on transport processes in granular media, particle shape effects on erosion, and flood-impacted infrastructure. Collaborates with physicists and mathematicians to study emergent granular phenomena. Co-organizes the European Working Group on Internal Erosion Symposium and holds memberships in the Australian Geomechanics Society and Engineers Australia.

• Geotechnical Engineering
• Granular Materials
• Internal Erosion
• +3 more

Les Bowtell is an Associate Professor in Electronic Engineering at the University of Southern Queensland (UniSQ), where he also earned his BEng, MEng, and PhD. He has been a key academic in the School of Engineering, serving as the Electrical Discipline Lead from 2006 to 2023, and maintains interdisciplinary affiliations with the School of Surveying and Built Environment, School of Nursing and Midwifery, and the Centre for Agricultural Engineering. His research spans renewable energy, power electronics, ultrasound-based water treatment, biochar applications, and precision livestock farming. He has supervised numerous doctoral and master’s students on topics such as biomass gasification, methane mitigation in cattle, and environmental remediation using biochar. His work integrates engineering with agricultural and environmental sustainability, often focusing on practical, scalable solutions. Les Bowtell’s recent publications (2020–2024) reflect a strong trend in sustainable energy and environmental technologies, particularly in biomass valorization (e.g., wheat straw pellets), ultrasound-enhanced water treatment, and carbon-based adsorbents. His work frequently employs experimental and modeling approaches, including thermogravimetric analysis, CFD simulations, and pilot-scale reactor studies. He has collaborated extensively with researchers such as Raed A. Al-Juboori, Guangnan Chen, and Talal Yusaf. His scientific contributions are disseminated through high-impact journals in energy, environmental engineering, and water treatment. Les Bowtell is actively involved in research supervision and education innovation, having developed remote access laboratories and interactive emulators to enhance nursing education. He has no listed scientific awards in the provided text, but his prolific output and leadership roles indicate significant academic impact. He leads or contributes to research teams working on renewable energy systems, agricultural waste conversion, and sustainable water purification. His labs and projects often involve interdisciplinary collaboration across engineering, agriculture, and environmental science, aiming to develop scalable technologies for real-world implementation.

• Renewable Energy
• Power Electronics
• Ultrasound Applications
• +12 more

Muhammad Ihtisham Babar is a PhD candidate in Aerospace Engineering at UNSW Canberra, working under the supervision of Associate Professor Sridhar Ravi in the Bio-Engineering Research Group. He serves as a Wind Tunnel Lab Demonstrator at the School of Engineering & Technology, UNSW ADFA Canberra. Education: PhD (Inprogress), Aerospace Engineering, University of New South Wales, 2025-28 BE, Aerospace Engineering, National University of Sciences and Technology, 2015-19 Ihtisham Babar's research focuses on bio-inspired flight systems, particularly studying insect flight in unsteady flow conditions. His work combines experimental approaches including wind tunnel testing and insect flight tracking with the development of bio-inspired flapping wing mechanisms. His research interests span aerodynamics, flapping wing biomechanics, fluid-structure interaction, and computational/experimental aerodynamics, with applications in understanding animal behavior and improving aircraft performance. Before commencing his PhD at UNSW Canberra in July 2024, Babar worked as a Design Engineer at the National Aerospace Science and Technology Park (NASTP), where he focused on aerodynamic design, computational fluid dynamics (CFD), and experimental fluid mechanics. His industry experience includes internships at Turkish Aerospace Industries, Pakistan International Airlines (PIA), and Pakistan Aeronautical Complex (PAC), providing him with practical knowledge in aircraft manufacturing, maintenance, and structural inspection.

• aerodynamics
• flapping wing biomechanics
• insects
• +8 more

Dr. Ao Li is a Research Fellow at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney. His research bridges advanced computational modeling with practical engineering applications to drive innovations in energy safety and sustainability. Dr. Li's educational background includes: PhD (2023) from UNSW Sydney, specializing in numerical modelling and computational heat transfer Master's degree (2017) from UNSW Sydney His research focuses on enhancing lithium-ion battery safety and efficiency through computational techniques. During his doctoral studies, he pioneered a framework synergizing CFD simulations with machine learning to optimize cooling performance and mitigate thermal risks. Recently, he led a project at UNSW Canberra integrating deep learning for early detection of battery thermal runaway. Currently, he explores sustainable battery recycling initiatives. His work spans numerical modeling, computational heat transfer, flame retardants, and energy systems safety. Dr. Li has received significant recognition through competitive scholarships: RTP Stipend Scholarship (2019-2023) Engineering Top ups - Faculty funded (2019-2023) He demonstrates strong academic leadership as Lead Guest Editor for Polymers' special issue on 'Recent Advances in Flame-Retardant Polymeric Materials' (IF 4.7) and Guest Editor for Fire's special issue on 'Advances in New Energy Materials and Fire Safety' (IF 3.2). He also served on the organizing committee for the 5th Asia-Oceania Symposium on Fire Safety Materials Science and Engineering (AOFSM'5) in 2023.

• Computational Fluid Dynamics
• Battery Technology
• Machine Learning
• +4 more

Professor Yansong Shen is a faculty member in the School of Materials Science and Engineering at the University of New South Wales (UNSW). His research spans chemical engineering, process control, and metallurgy, with a focus on sustainable technologies in ironmaking, hydrogen generation, and recycling. He leads the SCoPE research group and actively engages in industry collaborations. Research Focus : Reacting flow simulation, particle technology, pyrometallurgy, and circular economy applications Teaching : Advanced Transport Phenomena, Heat and Mass Transfer, Chemical Reaction Engineering Engagement : President of the Australasian Particle Technology Society (2019-present) His recent work involves hydrogen injection in blast furnaces , non-spherical particle dynamics , and electrolyser design for green hydrogen . This aligns with UNSW’s strengths in clean energy and advanced manufacturing .

• Chemical Engineering
• Process Control and Simulation
• Heat and Mass Transfer
• +6 more