جست‌وجوی استاد و پژوهشگر

Richard Armمشاهده پروفایل

پژوهشگر ارشد

• Bio-medical engineering and prosthetics
• Biomimetic materials
• Synthesising living human tissue
• +۳ مورد دیگر

Richard Arm is a Senior Research Fellow at Nottingham Trent University, affiliated with the Nottingham School of Art & Design and the Department of Fashion, Knitwear and Textile Design. His research focuses on bio-medical engineering, prosthetics, and biomimetic materials, with a strong emphasis on wearable technology and functional composites. Richard collaborates with organizations like the Royal Centre for Defence Medicine and Defence Science and Technology Laboratory to develop life-saving medical training models and emergency treatment technologies. Before his current role, Richard held positions as a Senior Technician, Lecturer, and Prototype Engineer, leveraging his background in visual effects and model-making to innovate in medical simulation. He is a Fellow of the Royal Society of the Arts (FRSA) and the Higher Education Academy (FHEA), with notable contributions to surgical training tools and bio-inspired tissue models. His research areas include synthesizing living human tissue, creating surrogate organs for medical education, and advancing wearable electronics for healthcare. Richard’s work bridges art and science, using 3D printing and traditional fabrication techniques to design realistic anatomical models that enhance surgical training and patient outcomes. Awards: FRSA, FHEA, and member of the Association for Simulated Practice in Healthcare. Grants & Collaborations: Partnerships with defence and medical institutions to advance trauma and emergency response technologies. Labs/Teams: Leads interdisciplinary teams at NTU, integrating art, engineering, and healthcare for innovative solutions.

Yudhi Ariadiمشاهده پروفایل

استاد آموزشی

• Additive Manufacturing
• 3D Printing
• Mass Customization
• +۴ مورد دیگر

Dr. Yudhi Ariadi is a Teaching Professor in Engineering Design at the University of Warwick's School of Engineering. With a background in Mechanical Engineering from Universitas Brawijaya, Indonesia, he holds an MSc from Lancaster University and a PhD from Loughborough University. His career spans industry (ISUZU Astra Motor Indonesia, FUJI Technica Indonesia) and academia, including roles at Coventry University and the University of Birmingham's High Temperature Research Centre. He specializes in Additive Manufacturing (AM), 3D Printing, CAD tools for mass personalization, and engineering design education. Education: Bachelor's in Mechanical Engineering, Universitas Brawijaya, Indonesia MSc in Engineering (Research), Lancaster University PhD in CAD Tools for Public 3D Printing Access, Loughborough University Research focuses on democratizing AM through accessible CAD tools, customization strategies, and AM applications in automotive and biomedical fields. Recent work includes distortion prediction in selective laser melting and ergonomic medical device design. His projects are funded by Rolls-Royce, EU, and the Higher Education Funding Council for England. Teaching emphasizes CAD software (SolidWorks, Siemens NX), design thinking, and AM integration in engineering curricula. He advises on SME innovation through the University of Derby's Institute for Innovation in Sustainable Engineering. Labs/Teams: Part of the High Temperature Research Centre (Birmingham) and collaborates with global automotive brands (Toyota, Ford, Geely) through past industry roles.

Peter Brommerمشاهده پروفایل

دانشیار

• Materials Science
• Condensed Matter Physics
• Computational Materials Science
• +۳ مورد دیگر

Dr. Peter Brommer is an Associate Professor in the School of Engineering at the University of Warwick. He holds a Dipl.-Phys. and Dr. rer. nat. (PhD) and is a Fellow of the Higher Education Academy (FHEA). His research focuses on computational materials science, particularly nano-confined phase change materials, molecular dynamics simulations, and the development of interatomic potential tools like potfit . He leads an EPSRC-funded project on modeling nano-confined materials and collaborates with the University of Cambridge. His work integrates ab initio methods with scalable simulations for oxides and complex metallic alloys. Dr. Brommer’s teaching includes modules on dynamics of vibrating systems, planar structures, and MSc project supervision. He is affiliated with the University of Warwick’s School of Engineering, with previous roles at the Institute for Theoretical Atomic and Molecular Physics (ITAP) in Stuttgart and the Université de Montréal’s Physics department. His office is located in D208, and he is reachable via p.brommer@warwick.ac.uk . Research highlights include advancements in kinetic Monte Carlo methods ( k-ART ), graphene functionalization studies, and scalable MD techniques for long-range interactions. His tools, such as the bs_sc2pc band structure tool for CASTEP, enhance defect analysis in materials. He actively contributes to OpenKIM’s interatomic model infrastructure. Dr. Brommer’s work bridges computational methods with experimental insights, aiming to improve material design for nanoelectronics and energy applications. His research has been published in journals like Phys. Rev. B , J. Chem. Phys. , and Modell. Simul. Mater. Sci. Eng. .

John Ryan Taylorمشاهده پروفایل

استاد

• Physical Oceanography
• Fluid Dynamics
• Ocean Turbulence and Mixing
• +۴ مورد دیگر

Professor John Ryan Taylor is a faculty member in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, part of the Faculty of Mathematics. His research focuses on fluid dynamics of the ocean, particularly ocean turbulence, mixing processes, and their impacts on microorganisms and climate modeling. He is affiliated with the Atmosphere-Ocean Dynamics and High-Reynolds-Number Fluid Flow research groups. His work addresses small-scale ocean dynamics ( Recent publications span topics such as submesoscale activity detection via machine learning, ice shelf-ocean boundary currents, and stratified turbulence. His research emphasizes resolving unresolved mechanisms in ocean models to enhance climate predictions. Taylor collaborates widely, with notable contributions to understanding double-diffusive convection, internal waves, and kelp forest fluid dynamics.

Paula Koelemeijerمشاهده پروفایل

دانشیار

• Seismology
• Deep Earth Structure
• Seismic Tomography
• +۵ مورد دیگر

Paula Koelemeijer is an Associate Professor of Geophysics at the University of Oxford and a Tutorial Fellow at Exeter College, funded by a Royal Society University Research Fellowship. Her research focuses on using seismic waves to study Earth's deep structure, dynamics, and social seismology applications. She collaborates with geodynamicists, mineral physicists, biologists, and computer scientists to address fundamental questions about Earth's interior and surface processes. Education : - PhD in Seismology, University of Cambridge (2014) - National Teaching Qualification (SEDA PDF Descriptor 2). Research Interests : - Seismic tomography and uncertainty quantification. - Deep Earth structure and mantle dynamics. - Social seismology (e.g., seismic signals from human activity and elephant behavior). - Geodynamic modeling and mineral physics integration. Recent Article Trends : Her work emphasizes interdisciplinary approaches, combining seismic data with geodynamic models to study mantle upwellings, LLVPs, and phase transitions. Recent studies include the discovery of a 9-day seismic oscillation from a Greenland landslide and the development of new inference frameworks for Earth's properties. Awards & Grants : - Philip Leverhulme Prize (2021). - Royal Society URF and multiple grants (e.g., NERC Large Grant for mantle circulation studies). - 3D printing outreach projects funded by Royal Society initiatives. Advising & Grants : - Supervises PhD/MSc students (e.g., Federica Restelli). - Active in funding applications for postdocs and doctoral training programs. - Leverages interdisciplinary collaborations to secure funding (e.g., Mars interior studies via NASA/InSight data). Labs & Teams : - Leads the DEEPSCAPE research group at Oxford. - Develops outreach materials (e.g., 3D-printed geophysical globes) for STEM education.

• Electronic Engineering
• Mechatronics and Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Roya Haratian serves as Principal Academic (equivalent to Associate Professor) in Electronic Science and Engineering at Bournemouth University's Department of Design and Engineering within the Faculty of Science and Technology. As Deputy Head of Department and Athena SWAN lead, she spearheaded the department's successful Bronze Award in 2021 for gender equality initiatives. Her leadership extends to curriculum development in Mechatronics and Robotics programs across undergraduate and postgraduate levels. Her academic credentials include a BSc (First Class Honours) and MSc (Distinction) in Electrical and Electronic Engineering, followed by a PhD in Electronic Engineering from Queen Mary University of London (2014). Prior to her current role, she worked as an Associate Lecturer at QMUL and Research Associate at Bristol Robotics Lab, focusing on on-body sensing systems and bio-signal processing for human-machine collaboration. Haratian's research centers on electronic engineering applications in human-robot interaction, with particular emphasis on on-body sensing technologies, signal processing, and machine learning. Her work bridges theoretical innovation with industrial implementation, developing assistive technologies for healthcare and safety-critical systems. Recent projects address diabetic foot ulcer prevention, emotion recognition in VR, and human-machine collaboration safety protocols, demonstrating strong translational impact across medical and industrial domains. Analysis of her 15 most recent publications reveals a strategic progression from foundational signal processing techniques toward integrated human-machine systems. Her work increasingly incorporates game theory for resource allocation, AI-driven predictive modeling, and inclusive design principles, with growing emphasis on real-world implementation challenges and ethical considerations in assistive technologies. Key recognitions include: Athena SWAN Bronze Award (Advance HE, 2021) for departmental gender equality leadership Senior Fellowship of Higher Education Academy (2021) BU Doctoral College Outstanding Contribution Award (2025) Design Review Award from Institute of Mechanical Engineering (2023) Student Experience 'You are Brilliant' Award (2017) As Recognised Research Supervisor (UK Council for Graduate Education), she currently co-supervises five PhD students on topics including AI surveillance, biomechatronics, and digital twin simulation. Her £1.2M+ research portfolio features strategic partnerships with Zimmer-Biomet, Computational Mechanics Wessex Institute, and Daido Industrial Bearing, with recent grants including HEIF-funded AI emotion recognition systems (2025) and QR-funded human-machine safety protocols (2024). She actively mentors through AdvanceHE's Aurora program and leads BU's Inclusivity Curriculum Evaluation project. Haratian directs the department's Athena SWAN initiative and collaborates with the Royal Institute on STEM outreach, designing bioelectronic masterclasses for GCSE students. Her public engagement includes 'Café Scientifique' discussions on machine emotion recognition and keynote addresses at Brockenhurst STEM Awards, focusing on translating on-body sensing research into real-world health applications.

• Cyber Security
• Digital Forensics
• Biometric Authentication
• +۷ مورد دیگر

Fudong Li is a Professor and Principal Academic in Cyber Security at Bournemouth University, leading the Cyber Security pathway for multiple undergraduate programs and serving as Programme Leader for BSc Forensic Computing and Security. His expertise spans over 15 years in teaching and research, focusing on digital forensics, biometric authentication, ethical hacking, and network security. He holds certifications such as EC-Council’s CHFI, CEH, and Cisco’s CCNA. Fudong has supervised 12 completed PhD students and authored over 60 publications in journals and conferences. His research interests include wearable computing for authentication, blockchain security, privacy-preserving technologies, and cloud storage verification. Notable work includes studies on Ethereum’s consensus mechanism transition and smartwatch-based continuous authentication systems. He has led the FORESIGHT grant (2019) for advanced cyber-security simulation platforms and serves as an external examiner for multiple UK universities. Fudong’s contributions align with UN SDGs for Quality Education and Gender Equality through cybersecurity education initiatives and inclusive technology design. His advisory roles include overseeing 13+ PhD candidates and collaborating on grants addressing cybersecurity challenges in aviation, power grids, and naval systems. He also leads external engagement activities, including visiting lectureships and international examiner roles.

• Responsible Innovation
• Quantum Computing
• Autonomous Systems
• +۳ مورد دیگر

Dr. Carolyn Ten Holter is a Research Fellow in the Department of Computer Science at the University of Oxford, affiliated with the Responsible Technology Institute. Her research focuses on responsible innovation in quantum computing, autonomous systems, and AI, emphasizing interdisciplinary collaboration between academia, industry, and policy sectors. She holds a BA in Law from New College, Oxford, and has extensive private sector experience in business development and law firms. Currently, she leads projects like ResQCCom and RAKE (Responsible AI UK), and serves on the editorial board of the Journal of Responsible Technology and various ethics committees. Her academic contributions include work on participatory design methodologies and governance frameworks for novel technologies. Key projects include RoAD (autonomous vehicle data), RAILS (lifelong learning in AVs), and collaborations with the Quantum Computing and Simulation Hub. She has been recognized as an OPEN Policy Fellow and Social Science Engagement Fellow, reflecting her commitment to bridging technical and societal dimensions of innovation. Her advisory roles include representation on the Research Ethics Committee and the Research Staff Hub, contributing to the Researcher Concordat framework at Oxford. Ongoing projects explore ethical implications of AI and quantum technologies, ensuring societal considerations are integrated into technological development.

Amro Al-Said Ahmadمشاهده پروفایل

مدرس

• Cloud Computing
• Software Engineering
• Software Testing
• +۴ مورد دیگر

Dr. Amro Al-Said Ahmad is a Lecturer in Computer Science at the School of Computer Science and Mathematics, Keele University, UK. He holds a Ph.D. in Cloud Computing from Keele University and has served as a teaching fellow and lecturer in Jordan prior to his current role. His research focuses on cloud computing scalability, software testing, and agile methodologies. He has published extensively in top-tier journals and conferences, including Information and Software Technology and Journal of Cloud Computing , and contributed to organizing events like BCS HCI and IEEE SSD. Education: BSc (Software Engineering, Philadelphia University, 2009), MSc (Computer Science, Amman Arab University, 2014), PhD (Cloud Computing, Keele University, 2019). Research interests include cloud scalability, chaos engineering, software testing, and healthcare informatics. His funded projects include AWS credits for scalability analysis and an Erasmus+ grant for international collaboration. He teaches courses like Cloud Computing and Software Engineering Project Management at Keele. Grants: AWS Cloud Credit ($5K), Keele New Starter Award (£2K), Erasmus+ MED2IaH (€58,325 share). Lab/Teams: Active in cloud resilience frameworks and chaos engineering research groups.

Amirreza Khodadadianمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Numerical Analysis
• Computational Mechanics
• +۷ مورد دیگر

Dr. Amirreza Khodadadian is a Lecturer in Mathematics at the School of Computer Science and Mathematics, Keele University, since August 2023. He holds a Ph.D. from the University of Vienna (2017), followed by postdoctoral positions at the Technical University of Vienna and Leibniz University Hannover. His research focuses on uncertainty quantification, numerical methods for stochastic PDEs, finite element methods, computational mechanics, and machine learning applications in nanoelectronics and biological systems. Key research interests include Bayesian inversion, multiscale modeling, reduced-order methods, and the design of nanoscale sensors. He has collaborated with institutions like the University of Oxford and secured an Austrian Science Fund (FWF) grant (476k€) for nanozyme sensor research. Dr. Khodadadian mentors postdoctoral researchers, including Dr. Samaneh Mirsian, and actively publishes in top-tier journals such as Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . His work bridges applied mathematics with engineering challenges, emphasizing efficient numerical algorithms for real-world problems like battery degradation, groundwater contamination, and biomedical sensor optimization. Recent projects involve machine learning integration for enhanced predictive modeling. Education: Ph.D. in Mathematics, University of Vienna, Austria (2017) Postdoctoral Fellowships: TU Vienna (2018), Leibniz University Hannover (2018–2022) Grants/Awards: Austrian Science Fund (FWF) Grant: Single Atom Catalysts as Nanozymes in FET Sensors (2023) Advising: Postdoctoral Mentor: Dr. Samaneh Mirsian (Keele University) Dr. Khodadadian’s publications span computational mechanics, stochastic modeling, and interdisciplinary applications, reflecting his expertise in translating mathematical theory into practical engineering solutions.

• Development Economics
• Healthcare Financing
• Macroeconomics of Health
• +۳ مورد دیگر

Dr. Judith Kabajulizi is an Assistant Professor in the School of Economics, Finance and Accounting at Coventry University. She holds a doctorate from the London School of Hygiene and Tropical Medicine focusing on healthcare financing reforms in Uganda. Her research program examines development economics with emphasis on health systems financing, gender dimensions in enterprise performance, and macroeconomic impacts of diseases. Research domains include: Macroeconomics of health systems Healthcare financing mechanisms Pandemic economic impacts Gender and productivity relationships Poverty reduction strategies Publications analyze healthcare financing in African contexts using advanced econometric and equilibrium modeling. Recent work quantifies COVID-19's economic consequences in developing economies and non-communicable diseases' impact on sustainable development goals. Awarded research grants for work on fragile states and regularly peer-reviews for economics journals.

• Energy Storage Systems
• Materials Science
• Electrochemistry
• +۳ مورد دیگر

Rohit Bhagat is a Professor and Centre Director at the Centre for E-Mobility and Clean Growth. His research focuses on advancing energy storage technologies, particularly lithium-ion batteries, through material science innovations and real-time monitoring systems. Key areas of interest include battery degradation mechanisms, sensor integration for diagnostics, and environmental impact assessments of battery production. Research highlights include developing predictive models for lithium plating detection using machine learning, investigating electrolyte degradation under elevated temperatures, and optimizing cathode materials for zinc-ion batteries. He has led projects such as the British Council MRes scholars initiative in STEM, emphasizing interdisciplinary collaboration. Bhagat’s work spans experimental design methodologies for battery modeling, thermal management strategies, and life cycle assessments. His contributions address critical challenges in battery safety, longevity, and sustainability, with applications in electric vehicles and renewable energy systems.

Andres Galvis Rodriguezمشاهده پروفایل

مدرس ارشد

• Lithium-ion Battery Degradation
• Multiscale Modelling
• Micromechanical Modelling
• +۴ مورد دیگر

Andres Galvis Rodriguez is a Senior Lecturer at the School of Electrical and Mechanical Engineering, University of Portsmouth. He specializes in multiscale modelling, lithium-ion battery degradation, and micromechanical analysis of heterogeneous materials. His research involves developing novel mathematical models and computational tools, including the BESLE software for boundary element analysis of heterogeneous materials. He collaborates with Brazilian researchers on advancing thermo-elasticity modules for BESLE. Teaching responsibilities include coordinating modules in Solid Mechanics & Dynamics and Engineering Mathematics. His work focuses on finite element and boundary element methods, with applications to battery systems, composite materials, and bone structures. The BESLE software, co-developed by Dr. Galvis Rodriguez, is a pioneering open-source tool for simulating anisotropic and isotropic materials using parallel computing. Current research emphasizes the mechanical behavior of lithium-ion electrodes via homogenization techniques and fatigue analysis in composite-repaired structures. His contributions bridge computational mechanics and materials science, addressing challenges in energy storage and structural integrity.

Jebraeel Gholinezhadمشاهده پروفایل

مدرس ارشد

• Machine Learning in Energy Engineering
• Carbon Capture and Storage (CCS)
• Energy Storage Materials
• +۳ مورد دیگر

Dr. Jebraeel Gholinezhad is a Senior Lecturer in Energy Engineering and Course Leader for the MSc programmes in Petroleum and Gas Engineering and Energy and Power Systems Management at the University of Portsmouth. He is a chartered engineer (CEng) registered with the UK Engineering Council. His research focuses on machine learning applications in thermofluid characterization, carbon capture and storage (CCS), and energy storage materials. He has supervised multiple PhD students and holds expertise in reservoir engineering, well performance analysis, and flow assurance. Education: PhD in Energy Engineering from Heriot-Watt University; MSc in Reservoir Engineering from IFP School (with industry placement at TOTAL). Prior to academia, he worked at the Research Institute of Petroleum Industry (RIPI) for six years, focusing on reservoir fluid studies and flow assurance. He has presented industry workshops on thermofluids, gas hydrates, and production optimization. Research interests include AI-driven reservoir modeling, CO2 storage simulation, and unconventional reservoir characterization. His teaching includes Engineering Management, Carbon Capture and Storage, and Well Engineering. He is affiliated with the Centre for Environmental and Renewable Energy Solutions.

Yann Bezinمشاهده پروفایل

استاد

• Railway Engineering
• Vehicle Dynamics
• Contact Mechanics
• +۵ مورد دیگر

Yann Bezin is a Professor in the Department of Engineering at the School of Computing and Engineering, University of Huddersfield, where he serves as Head of Research at the Institute of Railway Research. His academic journey includes an honours degree in Mechanical Engineering from Manchester Metropolitan University and a PhD focused on integrating Flexible Track System Models within vehicle multibody dynamic software. His research spans: Railway dynamics and vehicle-track interaction Wheel-rail contact mechanics and degradation Track system design optimization Multibody simulation methodologies Railway infrastructure innovation Analysis of his recent publications reveals concentrated focus on railway switches and crossings, featuring advanced simulation techniques for dynamic force prediction, infrastructure cost modeling, and material fatigue analysis. His work consistently bridges theoretical mechanics with practical railway engineering challenges. Professor Bezin leads significant projects including CAPACITY4RAIL (EU infrastructure optimization), IN2RAIL (intelligent rail systems), DYNAFREIGHT (long freight train dynamics), and WRIST (rail welding innovations). He supervises PhD candidates and has established the Institute of Railway Research as a hub for railway dynamics expertise.