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Sam HillView profile

Lecturer

• Non-Destructive Testing
• Ultrasonic Waves
• Signal Processing
• +3 more

Dr. Sam Hill is a Lecturer in Data Science at York Business School, York St John University. He holds a PhD in Physics from the University of Warwick (2014) and has extensive experience in both academia and industry, including a post-doctoral role at IIT Madras and a position at Tribosonics, a high-tech company specializing in industrial sensing technologies. His research focuses on applying physics-based approaches to non-destructive testing, particularly using ultrasonic waves and array techniques. He teaches modules such as Analysis and Optimisation, Object-Orientated Programming, and Work-Based Project Research on the Data Science Degree Apprenticeship course. Key research interests include ultrasonic array design, signal processing, and data science applications for industrial diagnostics. His work involves developing models to analyze material properties through ultrasonic interactions and converting sensor data into actionable insights. He has contributed to advancements in electromagnetic acoustic transducers (EMATs), Lamb wave generation, and defect localization using pulsed arrays. Publications span topics like EMAT coil geometry optimization, enhanced ultrasonic signal processing, and guided wave defect interaction. His research bridges academic theory and industrial applications, aiming to improve structural integrity assessment and predictive maintenance strategies.

Seyedali MirjaliliView profile

Professor

• Optimization
• Swarm Intelligence
• Evolutionary Algorithms
• +6 more

Seyedali Mirjalili is a Professor of Artificial Intelligence and Director of the Centre for Artificial Intelligence Research and Optimization (AIRO) at Torrens University Australia. He holds distinguished professorships at VSB Technical University of Ostrava, Óbuda University, and De La Salle University, and is an adjunct researcher at Griffith University and Yonsei University. His research focuses on optimization algorithms, swarm intelligence, evolutionary computation, and machine learning. Education: PhD in Computer Science (Griffith University, 2016). Research interests include optimization techniques, swarm intelligence algorithms (e.g., Grey Wolf Optimizer, Whale Optimization Algorithm), machine learning applications, and robust optimization frameworks. He has published over 600 papers with an H-index of 110 and is among the most cited researchers in optimization fields globally. Awards include the Pro-Vice Chancellor Research Special Award (2019) and recognition as a top 1% highly cited researcher (since 2019). He serves as an associate editor for journals like Neurocomputing and Applied Soft Computing. Labs/Teams: Leads the AIRO Centre at Torrens University, focusing on AI-driven solutions for complex optimization problems.

• Micro-scale drug delivery
• 3-D printing of pharmaceuticals
• Microneedle transdermal systems
• +4 more

Associate Professor Lifeng Kang is a pharmaceutical scientist at the University of Sydney School of Pharmacy , Faculty of Medicine and Health. He leads the Kang Lab which develops micro-scale and 3-D-printing technologies for drug delivery and regenerative medicine, and teaches undergraduate and postgraduate pharmacy courses. Education & career: BSc & MSc – China Pharmaceutical University (Nanjing, China) PhD – National University of Singapore (2006, drug delivery) Post-doctoral fellow – Massachusetts Institute of Technology (2007-2009, NUS-OPF Fellowship) Lecturer & Programme Director – National University of Singapore (2009-2017) Lecturer → Senior Lecturer → Associate Professor – University of Sydney (2017-present) Visiting Scholar – Stanford University (2019) Research focus: Microfabricated drug-delivery systems, 3-D printing of personalised medicines, dissolvable and hydrogel-forming microneedles, transdermal vaccination and cosmeceuticals, silk-fibroin and peptide biomaterials, organoid models for toxicology, and machine-learning-guided formulation design. Publications & impact: 86 peer-reviewed articles (65 first/corresponding), >4,600 citations, H-index 40, listed in Stanford/Elsevier global top-2 % scientists 2022-2024. Recent work appears in Nature Nanotechnology , Advanced Drug Delivery Reviews , Journal of Controlled Release , Analytical Chemistry and Biomaterials Advances . Innovation & translation: 10 patent families (5 granted, 3 licensed to industry); doctoral students have spun out two start-ups in 3-D-printed pharmaceuticals and microneedle devices. Current grants target osteoarthritis pain, skin depigmentation, paediatric IV stability and needle-free vaccination. Leadership & service: Vice-Chair (ANZ) Dissolution Research Presentation International 2023; 2nd-Year BPharm Coordinator; editorial boards of Advanced Drug Delivery Reviews , Frontiers in Pharmacology , Journal of Pharmacy and Pharmacology , Nano Convergence and others; reviewer for 40+ journals. Teaching & supervision: 14 years’ experience, primary supervisor of 15 PhD/MPhil students and >50 honours/project students; teaches drug delivery, formulation science and pharmaceutical analysis; research interest in mastery learning and formative assessment.

• Aerospace Design and Optimisation
• Aerodynamics
• Dynamics and Control
• +5 more

Professor Cees Bil is a Professor in the School of Engineering at RMIT University, specializing in Aerospace Engineering. His academic career includes roles as Associate Professor (1998–present) and Senior Lecturer (1995–1998) at RMIT, and prior positions at Delft University of Technology in the Netherlands. He leads research in Aerospace Design and Optimization , Aerodynamics , Computer-Aided Engineering , and Simulation and Modelling . His research spans unmanned systems , hybrid-electric propulsion , digital twin technology , and sustainable aerospace systems . Recent projects include AI-driven drone simulations, air traffic optimization, and bi-modal unmanned systems. Over 400+ publications demonstrate expertise in aerospace innovation, robotics, and aviation safety. Professor Bil’s work integrates transdisciplinary approaches, addressing challenges in Industry 4.0 , healthcare logistics (e.g., air mobile stroke units), and environmental sustainability via life cycle assessments. He supervises PhD/Master’s research in advanced propulsion, autonomous systems, and aviation safety. Key contributions include the Air Mobile Stroke Unit concept, bi-modal UAV systems , and expert systems for aviation incident analysis . His research bridges academia and industry, fostering solutions for aerospace, robotics, and smart transportation.

Afshin JafariView profile

Research Fellow

• Active and sustainable transport
• Activity-based modelling
• Integrated Land-use and Transport modelling
• +3 more

Dr. Afshin Jafari is a Research Fellow at RMIT University's School of Global, Urban and Social Studies (GUSS) and the Centre for Urban Research. His work focuses on computational methods to promote active and sustainable transport, including cycling, walking, public transport, and electric mobility. He leads developments of key models such as the AToM simulation framework for Greater Melbourne and the Victoria Bicycle Simulation tool. Research interests include activity-based modelling, integrated land-use transport systems, and agent-based simulation. He collaborates on projects addressing urban sustainability, transport infrastructure impacts, and equitable mobility solutions. Dr. Jafari is open to supervising PhD/Master’s students in transport and land-use modelling domains. Notable contributions include developing open-source transport simulation tools and advancing methodologies for assessing urban resilience during pandemics. His work aligns with UN Sustainable Development Goal 11: Sustainable Cities and Communities. Teaching involvement includes guest lectures on transport and land-use modelling. He actively engages in industry collaborations and media consultations related to urban mobility challenges.

Ricardo AlmeidaView profile

Research Fellow

• Theoretical Computer Science
• Formal Methods
• Bigraphs
• +4 more

Ricardo Almeida is a Research Fellow at the School of Computing Science, University of Glasgow, working on the TransiT project. He applies Formal Methods to Digital Twinning for transport decarbonisation and previously worked on Formal Verification of the Morello hardware architecture at the University of Edinburgh. PhD in Tree Automata (University of Edinburgh) MSc in Kleene Algebra with Tests and Hoare Logic (University of Edinburgh) Industry experience at Keysight Technologies His research spans formal verification, bigraph theory, regular expressions, and formal languages. Recent work focuses on formalizing transport resilience, railway network modeling, and proof-theoretic security in hardware architectures. He supervises summer MSc CS+ students within the Formal Analysis, Theory & Algorithms research group.

• computational mechanics
• topology optimisation
• machine learning
• +7 more

Dr. Chi Wu serves as a Lecturer in Mechanical Engineering at the University of Newcastle's School of Engineering. With a PhD from the University of Sydney (2022) and postdoctoral experience there (2023-2024), he has established himself as a rising researcher in computational mechanics and advanced manufacturing. His work bridges engineering principles with biomedical applications, particularly in the development of machine learning-driven approaches for material and structural optimization. Education: Doctor of Philosophy, University of Sydney Dr. Wu's research spans computational mechanics, topology optimization, machine learning, biomechanics, and advanced manufacturing, with particular emphasis on developing novel machine learning-based approaches for design optimization of advanced materials and structures. His work focuses on creating functionally graded tissue scaffolds, optimizing composite structures, and developing phase field models for fracture analysis. His research experience spans academia, industry, and clinical applications, demonstrating strong interdisciplinary connections. Analysis of Dr. Wu's publication record reveals a strong focus on integrating machine learning with additive manufacturing, particularly for biomedical applications. His work shows increasing sophistication in combining computational mechanics with experimental validation, with recent publications emphasizing time-dependent optimization and multi-scale modeling approaches. The trend indicates growing recognition of his work in both computational mechanics and biomedical engineering communities. Scientific Awards: Acta Journal Award (2023) Inaugural Grant Steven Award for Early Career Researchers (2023) Best Paper Award at the 12th International Conference on Structural Integrity and Failure (2021) Wiley Top Cited Article Award for 2020-2021 Best Paper Award at the 4th Australasian Conference on Computational Mechanics (2019) Dr. Wu actively recruits PhD students for research in mechanical, materials, and manufacturing engineering, with particular interest in candidates with computational mechanics and optimization backgrounds. He co-supervises students with Prof. Qing Li (ARC Future Fellow, Highly Cited Researcher) at the University of Sydney and Dr. Jianguang Fang (ARC Future Fellow) at the University of Technology Sydney. The University of Newcastle offers various scholarships, with additional support available for candidates from mainland China applying for the CSC scholarship. Dr. Wu maintains extensive collaborative networks across multiple institutions including Harvard University, Max Planck Institute, University of Exeter, Tohoku University, and several Australian universities and medical institutions including Chris O'Brien Lifehouse cancer hospital and industry partners like Cochlear Australia and Zimmer Biomet Australia.

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.

• Bayesian Search and Optimization
• Evolutionary Algorithms
• Multi-objective Optimization
• +4 more

Dr Alma Rahat is an Associate Professor of Data Science at Swansea University, affiliated with the School of Mathematics and Computer Science. He specializes in Bayesian search and optimization, evolutionary algorithms, and multi-objective optimization. His work focuses on solving computationally expensive problems with applications in engineering, healthcare, and education. Education: BEng (Hons) in Electronic Engineering from the University of Southampton (UK), PhD in Computer Science from the University of Exeter (UK), and a Postgraduate Certificate in Teaching in Higher Education from Swansea University. He is a Fellow of the Higher Education Academy (FHEA). Research Interests: Dr Rahat’s expertise includes data-driven evolutionary optimization, surrogate-assisted methods, and active learning. He has contributed to pandemic response modeling for the Welsh Government and the UK Health Security Agency, leveraging machine learning and parameter optimization. His work on healthcare decision-making systems and educational assessment tools demonstrates a commitment to interdisciplinary applications of optimization. Key Contributions: He leads the Surrogate-Assisted Evolutionary Optimization (SAEOpt) workshop at GECCO and is a member of the IEEE Computational Intelligence Society Task Force on Data-Driven Optimization. His research bridges academic theory and industry needs, with patents and publications in top journals and conferences like IEEE Transactions and ACM. Grants: £750k from Welsh Government (Co-PI/Co-I), £230k EPSRC grant (EP/W01226X/1 as PI). Awards: Best Paper in Real-World Applications Track at GECCO, Patent for industrial fluid separation technology. Supervision: Currently guiding PhD students across AI, healthcare, education, and environmental modeling. His supervision emphasizes Bayesian methods and human-in-the-loop systems. Lab/Teams: Active in Swansea’s Computational Foundry, collaborating on projects like beach change forecasting and clinical decision support systems.

• Structural Engineering
• Materials Science
• Civil Engineering
• +3 more

Kajaharan Thirunavukkarasu holds a Doctor of Philosophy from Northumbria University's Mechanical and Construction Engineering Department. His research focuses on structural behavior of steel sections, particularly in the areas of web crippling, flexural analysis, and cold-formed steel design. He collaborates widely with industry and academic partners, contributing to the development of optimized beam sections for modular construction and sustainable building systems. Key research interests include numerical investigations into beam stability under various load cases, material behavior of aluminum and stainless steel sections, and the integration of web openings in structural designs. His work emphasizes practical applications in civil and mechanical engineering, with a focus on enhancing load capacity, stiffness, and sustainability. Thirunavukkarasu’s publications span topics such as finite element modeling of built-up beams, design rules for SupaCee sections, and the environmental impact of cement alternatives like GGBFS. His research has been cited across multiple disciplines, reflecting its relevance to both academic and industrial contexts.

Subhadeep PaulView profile

Researcher

• Polymer Science
• Textile Engineering
• Material Characterisation
• +3 more

Subhadeep Paul is a Researcher at Northumbria University, focusing on polymer science, fibres and textiles, physical chemistry, and material characterisation. His work integrates nanotechnology and sustainable practices to enhance textile properties. He holds a PhD awarded in March 2024. Research interests include electrospinning of bioengineered fibres, functional finishing techniques, and net-zero strategies for wool industries. Education: PhD (2024), Northumbria University Key research areas involve advancing textile materials through nanotechnology, optimising dye interactions with wool fibres, and developing sustainable healthcare textiles. Recent publications explore bacterial cellulose fibres, superhydrophobic coatings, and CAD applications in sustainable design. His work bridges fundamental material science with industrial textile innovation. Publications span interdisciplinary topics from biomaterials to medical textiles, emphasizing practical applications of advanced material characterisation. Collaborations include industry partners for net-zero textile solutions. No awards or grants explicitly stated, but research actively contributes to Northumbria's materials and sustainability themes.

• Structural Engineering
• Structural Dynamics
• Earthquake Engineering
• +2 more

Nikos Nanos is a Senior Lecturer at the University of Portsmouth , affiliated with the School of Civil Engineering and Surveying within the Faculty of Technology. He holds a PhD in Earthquake Engineering and Structural Dynamics, an MSc in New Technologies in Antiseismic Engineering Design, and a BEng (Hons) in Civil Engineering. Research Focus: Structural Engineering, Earthquake Engineering, Soil Structure Interaction, and Optimisation Algorithms Expertise: Structural Dynamics, Seismic Assessment, and Construction Optimization His recent work explores low-cost MEMS sensors for environmental monitoring, modular construction with lean thinking, and post-disaster housing solutions. He supervises PhD students in seismic structural response, concrete behavior, and soil-structure interaction, leveraging advanced facilities like the Seismic Table testing bed and Heavy Structures Lab . Interdisciplinary collaborations span Computing, Business, and Engineering disciplines, emphasizing data agnostic methodologies and cross-disciplinary innovation . Key projects include structural health monitoring, seismic vulnerability assessments, and BIM-based parametric optimization. Students: Supervises research in seismic structural response, concrete behavior, and structural monitoring. Labs & Facilities: Oversees the University of Portsmouth's Seismic Table testing bed, Heavy Structures equipment, and in-house FEA capabilities.

Spyridon PougkakiotisView profile

Lecturer

• Continuous Optimization
• Stochastic Optimization
• Risk-Aware Decision-Making
• +3 more

Spyridon Pougkakiotis is a Lecturer in Optimization at King’s College London’s Department of Mathematics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He previously held positions as Lecturer in Mathematics at the University of Dundee (2023–2024) and as a postdoctoral research associate at Yale University (2022–2023). His research focuses on continuous optimization, stochastic optimization, and risk-aware decision-making, with applications in operational research, engineering, and data science. He has developed efficient algorithms for large-scale optimization problems and contributed to preconditioning techniques in interior point methods. Education: BSc in Informatics and Telecommunications, National and Kapodistrian University of Athens (2012–2016) MSc in Operational Research with Computational Optimisation, University of Edinburgh (2016–2017) PhD in Optimization, University of Edinburgh (2017–2022) His research interests emphasize nonlinear optimization (including non-smooth, stochastic, and black-box problems) and algorithm development. He has been recognized with the 2022 OR Society Doctoral Award and was a finalist for the 2024 Euro Doctoral Dissertation Award. Teaching includes undergraduate courses on numerical methods with Python and an MSc module on machine learning. He is involved in King’s Financial Mathematics group and organized events like the “Afternoon of Stochastic Optimisation” workshop in 2025. Awards: 2022 OR Society Doctoral Award (Most Distinguished Doctoral Research in Operational Research) 2024 Euro Doctoral Dissertation Award Finalist Current research projects include a 50/50 Haleon Industry Studentship (2025–2028), focusing on optimization applications in industry.

• Structural integrity assessment
• Solid mechanics and modeling
• Finite element analysis
• +7 more

Dr. Tugrul Comlekci is a Principal Knowledge Exchange Fellow at the Mechanical and Aerospace Engineering Department within the Faculty of Engineering at the University of Strathclyde. He is also affiliated with the Weir Advanced Research Centre (WARC), where he specializes in research and knowledge exchange activities with industrial applications. As a chartered mechanical engineer (CEng MIMechE), his work bridges academic research with practical engineering solutions for industry. Dr. Comlekci's research focuses on structural integrity assessment, solid mechanics, and modeling, with expertise in developing both numerical (particularly finite element analysis) and experimental methodologies. His work has significant applications in: Pressure equipment for oil and gas industry applications Energy generation applications, particularly wind turbine structures Welding simulation for naval vessel fabrication Fatigue and corrosion fatigue analysis His research portfolio demonstrates a strong emphasis on practical industrial applications, with notable contributions including: Patented fracking pump fluidend valve seat design that improved pump fatigue life Autofrettage optimization solutions applied to numerous pump designs Wind turbine life assessment methodologies developed for SSE/Scottish Power Weld distortion analysis methodologies for BAE Systems Dr. Comlekci has successfully translated research into industrial practice, with technologies transferred to Weir SPM and methodologies adopted by major industry players. His publication record shows consistent output in high-impact journals focusing on structural steel performance, fatigue analysis, and crack propagation. As an educator, Dr. Comlekci teaches across all levels, with interests in structural integrity, computer-aided engineering design, finite element analysis (using ANSYS, PTC Creo, SolidWorks), aeromechanical engineering, and engineering business strategic analysis. He supervises undergraduate, MSc, and PhD projects, contributing to the development of next-generation engineers. His current research projects include: Development of a DEM tool for wear prediction and design optimisation of GET (2024-2027) Development of Sustainable Mining Equipment using Novel Fracture Mechanics based Structural Design Optimisation (2023-2026) Wind turbine fatigue life assessment and modelling (2016-2018) APESA (H2020 MSCA EID) project (2015-2019) Dr. Comlekci works closely with industry partners including Weir Group, SSE/Scottish Power, and BAE Systems, ensuring his research has direct practical applications and impact in the engineering sector.

David NashView profile

Professor

• Finite Element Analysis
• Pressure Vessels and Piping Systems
• Bio-mechanics
• +5 more

David Nash is a Professor in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde, part of the Faculty of Engineering. He holds professional qualifications including BSc(Hons), MSc, PhD, CEng, FIMechE, and FIES. His expertise spans Finite Element Analysis, Pressure Vessels, Bio-mechanics, and Medical Device Design. He has led numerous projects, including the ICF Mechanical Property Optimisation of Magnesium Alloy Wires (2024-2025) and research on bioresorbable materials for vascular scaffolds. He has collaborated on initiatives like Boiler Technologies and contributed to the Doctoral Training Partnership (2017-2022). Nash's research focuses on structural analysis, stress optimization, and materials science with applications in aerospace, biomedical engineering, and renewable energy. His work addresses challenges in wind turbine blade erosion, composite material behavior, and pressure vessel integrity. Over 150 publications and patents highlight his contributions to fields like metal-to-metal seals, cold-formed steel structures, and finite element modeling. Awards and recognitions are not explicitly listed in the provided texts.