جست‌وجوی استاد و پژوهشگر

Jin Xuanمشاهده پروفایل

استاد

• Sustainable Processes
• Circular Economy
• AI in Energy Systems
• +۴ مورد دیگر

Professor Jin Xuan is the Associate Dean (Research and Innovation) at the University of Surrey's Faculty of Engineering and Physical Sciences, and holds a Chair in Sustainable Processes. He is also a Turing Fellow at the Alan Turing Institute. Previously, he led the Department of Chemical Engineering at Loughborough University. His research focuses on net-zero energy, circular economy, and sustainable development through AI and engineering innovations. He has pioneered Energy and AI as an interdisciplinary field, leading advancements in multiscale predictive models for energy systems and low-carbon solutions. Roles: Associate Dean, Professor of Sustainable Processes, Turing Fellow Affiliations: University of Surrey, Alan Turing Institute Prior Position: Head of Chemical Engineering, Loughborough University His research interests span AI-driven energy systems, CO2 capture/utilization, and renewable energy devices like fuel cells and electrolysers. He has developed novel models for complex systems and co-founded journals such as Energy and AI. He leads the UKRI CircularChem Centre, recognized with the IChemE Global Sustainability Award (2023). Awards: Philip Leverhulme Prize (2022), Beilby Medal (2020) Professor Xuan’s work bridges academia and industry, emphasizing ethical and policy frameworks in energy systems. He advises on grants and collaborates globally, fostering innovation in digital twins and sustainable technologies.

Gul Calikliمشاهده پروفایل

مدرس

• Empirical Software Engineering
• Human Aspects in Software Development
• Program Comprehension
• +۲ مورد دیگر

Dr. Gül Calikli is a Lecturer in Software Engineering at the University of Glasgow specializing in empirical software engineering and human factors in software development. Her research investigates cognitive biases, code review practices, and human-centered aspects of software quality. Current work focuses on LLM-generated code evaluation, financial incentive design for software experiments, and variability management in software product lines. She develops methodologies to study developer behavior, team dynamics, and decision-making processes in software projects. Recent publications examine the impact of request formats on effort estimation, financial incentive guidelines for experiments, and vulnerability detection during code reviews. Her research bridges software engineering practice with cognitive psychology and organizational behavior. Dr. Calikli teaches software engineering courses and supervises research in human aspects of software development. She contributes to international collaborations on adaptive decision-support systems and privacy dynamics in social software.

• Offshore Geotechnical Engineering
• Soil-Structure Interaction
• Offshore Wind Energy
• +۳ مورد دیگر

Professor Byron Byrne holds the Ørsted/Royal Academy of Engineering Research Chair in Advanced Geotechnical Design at the University of Oxford. He serves as Professor of Engineering Science (Civil Engineering), Fellow of St Catherine's College, and Co-Director of the EPSRC Supergen Offshore Renewable Energy Hub. His career spans academic leadership, industry collaboration, and innovative research in offshore geotechnical engineering. Education: BE(Hons) in Civil Engineering, University of Western Australia BCom in Commerce, University of Western Australia DPhil in Engineering, University of Oxford (Rhodes Scholar) Byron’s research focuses on soil-structure interaction for offshore foundations, particularly monopiles, suction caissons, and jacket piles supporting offshore wind turbines. His work combines experimental field/laboratory testing with theoretical modeling to develop practical design guidance. Key projects include PISA (industry-funded monopile research), ALPACA (chalk foundation studies), and collaborations with Ørsted and TechnipFMC. Current emphasis includes cyclic loading behavior, scour protection, and real-time monitoring applications. His scientific awards include the Crampton Prize (2023), BGA Medal (2022/2020), Fleming Award (2017), and multiple teaching accolades. His supervision spans 13 CDT students and 18+ graduate researchers, with completed projects on topics like pipeline buckling, soil liquefaction, and suction caisson installation. Byron also leads consultancy activities through Oxford University Consulting, working with industry leaders like Ørsted and Arup.

Hao Yuanمشاهده پروفایل

مدرس

• Chemical Kinetics
• Lithium-ion Battery
• Combustion
• +۳ مورد دیگر

Hao Yuan is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with the Institute for Advanced Automotive Propulsion Systems (IAAPS). His research focuses on Chemical Kinetics, Lithium-ion Batteries, Combustion, and Numerical Modelling, with a particular emphasis on improving engine efficiency and low-carbon technologies. He leads the JLR Prosperity Partnership project, a £5M EPSRC-funded initiative exploring electrified propulsion systems. Education: PhD in Mechanical Engineering (2013–2018), University of Melbourne MSc in Electrical Engineering (2009–2012), University of the Chinese Academy of Sciences BSc in Mechanical Engineering (2005–2009), Beijing Forestry University Research Interests: Dr. Yuan's work bridges computational modelling and experimental validation, addressing challenges in combustion optimization, thermal management, and sustainable energy systems. His studies on hydrogen internal combustion engines and fuel cell hybrid vehicles aim to advance low-emission propulsion technologies. Grants & Projects: JLR Prosperity Partnership (2021–2026) : Developing low-emission powertrains for future automotive systems. Labs/Teams: Active within IAAPS, collaborating on interdisciplinary projects to enhance automotive propulsion sustainability.

Len Gelmanمشاهده پروفایل

استاد

• Signal Processing
• Condition Monitoring
• Vibration Analysis
• +۴ مورد دیگر

Len Gelman is a Professor and Chair in Signal Processing and Condition Monitoring at the University of Huddersfield's Department of Engineering within the School of Computing and Engineering. He also serves as Director of the Centre for Efficiency and Performance Engineering. His research focuses on advanced signal processing techniques for fault diagnosis in electromechanical systems, vibration analysis, and predictive maintenance. He is actively involved in PhD supervision and has authored over 100 publications, achieving 1499 citations and an h-index of 21. Key research areas include digital twin technology, nonlinear spectral analysis, and machine learning for industrial diagnostics. His work addresses challenges in non-stationary signal processing, motor current signature analysis, and condition monitoring under varying operating conditions. Collaborations include interdisciplinary projects with the Centre for Efficiency and Performance Engineering. Recent studies highlight innovations in fault diagnosis frameworks for rotating machinery, conveyor belt systems, and wind turbines. His contributions bridge theoretical advancements with practical industrial applications, emphasizing explainable AI and adaptive diagnostics. Gelman's research has been presented at major conferences like the World Congress on Engineering and published in specialized journals. Education: Not explicitly stated in the provided text. Awards: High citation count and h-index reflect his significant academic impact. Grants/Advising: Supervised 2 PhD projects; accepting new students in diagnostic engineering and condition monitoring. Labs/Teams: Leads the Centre for Efficiency and Performance Engineering and collaborates with the Department of Engineering's research groups.

Arnaldo Delli Carriمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Finite Element Analysis
• Nonlinear Vibration Analysis
• +۳ مورد دیگر

Arnaldo Delli Carri is an Associate Professor at the CEES School of Engineering, serving as Curriculum Lead and actively involved in academic leadership. His research focuses on Nonlinear Dynamics and Finite Element Analysis, with expertise in structural analysis, modal testing, and vibration dynamics. He is currently accepting PhD students in areas like Nonlinear Vibration Analysis and FE model validation. Research interests include advanced topics such as nonlinear system identification, model upgrading, and machine learning applications in structural performance prediction. Notable projects involve analyzing planetary gearboxes, 3D printing opportunities in Africa, and laser vibrometer-based nonlinear detection. His work integrates experimental and computational methods to address challenges in mechanical systems and biomedical engineering. Collaborations span international partnerships, focusing on structural dynamics and nonlinear systems. His contributions include over 17 publications since 2011, with a focus on vibration analysis, finite element validation, and additive manufacturing applications. He currently supervises PhD candidates exploring nonlinear dynamics and FE formulations.

Payam Khazaeinejadمشاهده پروفایل

دانشیار

• Computational solid mechanics
• Bio-inspired materials design
• Architected & smart materials/structures
• +۷ مورد دیگر

Payam Khazaeinejad is Associate Professor of Solid Mechanics at Kingston University London, where he also serves as School Director of Learning & Teaching and leads the IMechE-accredited Monitored Professional Development Scheme. A Chartered Engineer & Scientist, he is Senior Fellow of Advance HE, Fellow of IMechE, Senior Member of AIAA and sits on multiple national boards including IMechE Council and EPSRC Peer Review College. Education & Continuous Development PhD Engineering, University of Edinburgh (2016) MSc Mechanical Engineering – Applied Mechanics (2006) BEng Mechanical Engineering – Solid Mechanics (2004) MIT Professional Education – Machine Learning for Materials Informatics (2024) Chartered Manager Bootcamp, CMI Level 5 Diploma (2023) Certificate in Innovation in Teaching, Laspau/Harvard (2021) Chartered Engineer & Chartered Scientist status (2021, 2024) Research Interests His research integrates computational solid mechanics with bio-inspired design to create architected materials and structures that are lightweight, adaptive and resilient. Using high-fidelity finite-element and discrete-element modelling he investigates failure mechanisms under extreme thermomechanical environments, with applications spanning pharmaceutical tablet compaction, biomedical scaffolds for bone regeneration, floating solar-panel arrays, fire-exposed steel plates and subsea riser systems. Across 50+ peer-reviewed works he has advanced analytical solutions for functionally graded shells, nonlinear thermo-elastic plates, vibration of micro-composite skew plates and efficient riser elements, while recent outputs concentrate on additive-manufactured aerospace mounts, 3-D printed biodegradable scaffolds and data-driven engineering curricula. Honours & Recognition Provost's Award for Learning & Teaching Excellence 2025 Enterprising Value Award, Kingston People Awards 2024 Senior Fellow, Advance HE Fellow, Institution of Mechanical Engineers Senior Member, AIAA Chartered Engineer & Chartered Scientist (UK Engineering & Science Councils) Leadership & External Examining He is Chief External Examiner at UWE Bristol (2024-present) and External Examiner at Manchester Met and University of East London, having served on programme-revalidation panels nationwide. At Kingston he directs learning & teaching for the School of Engineering, chairs the IMechE Structural Technology & Materials Group, and founded the Engineering Simulation Group.

• mRNA Vaccine and Therapeutics Manufacturing
• Continuous Bioprocessing
• Process Intensification
• +۳ مورد دیگر

Dr. Zoltán Kis serves as a Senior Lecturer (Associate Professor) in the School of Chemical, Materials and Biological Engineering at The University of Sheffield and holds an Honorary Lecturer position at Imperial College London's Department of Chemical Engineering. His research focuses on innovating disease-agnostic RNA vaccine and therapeutics manufacturing platforms through process digitalization and intensification. Dr. Kis earned his Ph.D. in Bioengineering from Imperial College London, complemented by an M.Sc. in Applied Biotechnology and a B.Eng. in Chemical with Biochemical Engineering. His interdisciplinary training bridges chemical engineering, biotechnology, and bioengineering disciplines. His research integrates experimental and computational methodologies to revolutionize mRNA production: Development of continuous enzymatic synthesis, purification, and LNP formulation processes Process intensification through novel unit operations and equipment design Digital twin deployment for real-time monitoring and control Techno-economic modeling to reduce production costs Quality by Digital Design framework implementation for regulatory compliance Analysis of recent publications reveals dominant trends in continuous bioprocessing and digital transformation of mRNA manufacturing. Key subfields include oligo-dT chromatography optimization, tangential flow filtration for mRNA purification, and digital twin applications for process control, with strong emphasis on pandemic-response capabilities and cost reduction strategies. Dr. Kis actively supervises PhD students in mRNA bioprocessing and teaches Biopharmaceutical Manufacturing (CPE336/CPE6043) and Introduction to Bioengineering (BIE103). His industry engagement includes advisory roles on Sanofi's mRNA CMC Board and Pfizer's mRNA Technology Advisory Board. He leads the RNA Manufacturing Innovation Team and has secured substantial research funding, including: £3.7 million CEPI grant for RNAbox platform (2024-2027) £7.6 million UK-SEA Vaccine Manufacturing Hub (2023-2028) £2 million Innovate UK project for automated RNA platform (2023-2025) Multi-million USD Wellcome Leap R3 grant for distributed RNA production His work demonstrates significant impact through industry partnerships, policy advisory roles including WHO mRNA Technology Transfer Hub consultancy, and leadership in advancing global vaccine manufacturing capabilities.

Cameron Brownمشاهده پروفایل

دانشیار

• Pharmaceutical Manufacturing
• Crystallization Processes
• Digital Design Tools
• +۴ مورد دیگر

Dr. Cameron Brown is a Reader (equivalent to Associate Professor) at the Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow. He specializes in developing digital design tools and strategies for pharmaceutical manufacturing. Brown joined Strathclyde in 2014 and has progressed through research associate, research fellow, and Chancellor's fellow positions. He currently coordinates the Drug Substance Manufacturing module for the Advanced Pharmaceuticals Manufacturing MSc program. Education: Brown holds a PhD in crystallization process characterization and a Chemical Engineering degree, both from Heriot-Watt University. Research Focus: His work centers on three primary areas: Hybrid modeling approaches : Integrating physics-based and data-driven models to enhance drug substance manufacturing efficiency Self-driving labs : Developing automated systems for drug substance process development with model-based experimental design Digital decision-making : Implementing coupled models through GenAI and LLMs for rapid pharmaceutical process development His research contributes to UN Sustainable Development Goals through improved medicine manufacturing sustainability. Publication Trends: Brown's recent articles focus on pharmaceutical crystallization, digital design methodologies, AI applications in manufacturing, and process optimization. His work demonstrates strong emphasis on translating computational models into industrial practice, particularly in continuous manufacturing and quality-by-design frameworks. Honors: Elected staff officer of British Association of Crystal Growth (2024) Research Leadership: Brown serves as Principal Investigator for PharmaCrystNet and co-investigator on multiple major initiatives including Digital Design and Manufacturing of Amorphous Pharmaceuticals, Future CMAC Manufacturing Hub, Accelerated Discovery and Development of New Medicines Prosperity Partnership, and ARTICULAR. He leads knowledge exchange projects with pharmaceutical companies and manages knowledge transfer partnerships. Professional Engagement: Brown is active in the Acceleration Consortium and serves on the committee of the British Association of Crystal Growth.

Gabriele C. Sossoمشاهده پروفایل

دانشیار

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

Dr. Gabriele C. Sosso is an Associate Professor specializing in Computational Chemistry. His research focuses on molecular simulations, phase transitions, and material design, with notable contributions to ice nucleation mechanisms, drug delivery systems, and sustainable materials. He advises multiple PhD students across various programs, including MAS CDT, DTP, and EPSRC-funded projects. His work bridges computational methods with real-world applications in energy, environment, and biomedicine. Research interests include: molecular dynamics of condensed matter, machine learning-driven drug design, ice recrystallization inhibition, and the structural analysis of materials under extreme conditions. Recent studies explore small molecule eutectics as plastic alternatives and lipid bilayer interactions with drugs. Advising and grants: Supervises 8+ PhD students (listed above) under programs like EPSRC NPIF and MRC DTP. His research leverages advanced computational tools and collaborative projects in materials science and biophysics. Labs/teams: Collaborates on interdisciplinary teams focusing on computational chemistry, nanotechnology, and environmental materials science, though specific lab affiliations are not detailed in the provided text.

Sourindra Banerjeeمشاهده پروفایل

دانشیار

• International Marketing
• Innovation
• Emerging Markets
• +۷ مورد دیگر

Sourindra Banerjee is an Associate Professor of Marketing at Leeds University Business School, University of Leeds. He is actively involved in research, teaching, and leadership, serving as Deputy Director of the Global and Strategic Marketing Research Centre and Chair of the Marketing Division Advisory Board. His educational background includes a PhD from the University of Cambridge, an MSc in International Marketing Management (with Distinction) from the University of Leeds, an MBA from Xavier Institute of Management, and a Bachelor of Engineering from Jadavpur University. Dr. Banerjee’s research focuses on integrating marketing and strategy with advanced analytics, artificial intelligence, and machine learning to solve managerial challenges in international marketing, innovation, and emerging markets. He applies econometric models to large datasets from countries including India, Bangladesh, the UK, USA, Korea, and Germany. His work emphasizes data-driven decision-making in global business contexts. His recent publications span top-tier journals such as Journal of Marketing , Research Policy , Journal of Product Innovation Management , and Stanford Social Innovation Review , reflecting a strong trend toward interdisciplinary research at the intersection of marketing, technology, and emerging economies. His scientific awards include: American Marketing Association’s Excellence in Global Marketing Research Award American Marketing Association’s Innovation, Technology and Interactivity Award for Best Research Paper Dean’s Highly Commended Best Journal Article Award Finalist for the Sheth Foundation Journal of Marketing Award Finalist for the H. Paul Root Award (2020 and 2016) Dr. Banerjee has advised postgraduate researchers including Rafid Ur Rahman, Ali Obaidan, and Ming Cheng. He has received multiple scholarships including the Cambridge Commonwealth Trust Scholarship, British Petroleum Scholarship, Smuts Memorial Scholarship, and Maurice Keyworth Scholarship. He teaches Global Marketing Management in the MBA program and Marketing Strategy in MSc programs. He is affiliated with the Global and Strategic Marketing Research Centre and is a member of professional organizations such as the American Marketing Association, Marketing Science Institute, European Marketing Academy, and Academy of International Business.

Tim Pearceمشاهده پروفایل

استاد

• Machine Olfaction
• Neuromorphic Engineering
• Neuroscience
• +۴ مورد دیگر

Tim Pearce is a Reader in Bioengineering at the School of Engineering, University of Leicester. He holds a PhD from Warwick University and has served as a Research Assistant Professor at Tufts University Medical School. His work focuses on machine olfaction, neuromorphic engineering, and interdisciplinary applications of chemical sensing technologies. Key contributions include the development of electronic noses, biomimetic infochemical communication systems, and neuromorphic implementations inspired by insect olfactory pathways. Research Interests: Machine olfaction and sensor arrays Neuromorphic engineering and bio-inspired computation Integration of neuroscience principles into engineering systems Applications in environmental monitoring, healthcare, and security Publications highlight advancements in odor classification, spatio-temporal signal processing, and AI-driven world modeling. Notable collaborations include EU projects like Neuro-IT and AMOTH, which translated biological olfactory principles into real-world technologies. He has authored over 100 articles, including the seminal Handbook of Machine Olfaction . Awards include Fellowships from the Institute of Physics and the Higher Education Academy. Editorial roles span Frontiers in Neuromorphic Engineering and Connection Science . He actively contributes to global initiatives in neuroengineering and computational neuroscience.

Mohamed Elbadawiمشاهده پروفایل

مدرس

• Artificial Intelligence in Healthcare
• 3D Printing in Medicine
• Drug Delivery Systems
• +۳ مورد دیگر

Dr. Mohamed Elbadawi is a Lecturer in Computational Physiology/Biomedicine at Queen Mary University of London's School of Biological and Behavioural Sciences. His research focuses on leveraging digital technologies like AI, robotics, and 3D printing to advance healthcare. He has received recognition as a Stanford Top 2% Scientist (2022-2023). Elbadawi holds a PhD in Mechanical Engineering from the University of Sheffield (2014-2017), an MSc in Biomedical Engineering from the University of Surrey (2012-2013), and a BSc in Pharmacology from the University of Bristol (2007-2010). His research interests include AI-driven drug discovery, 3D printing for precision medicine, bioelectronics for programmable drug delivery, and sustainability in pharmaceutical manufacturing. He leads modules like 'AI and Data Analytics in Physiology and Biomedicine' and 'Developing AI Solutions in the Biosciences.' Elbadawi has secured grants such as the £20,021 EPSRC-funded 'i-GREENPHARM' project and the £35,000 Innovate UK grant for 'Terpene enhancement of anxiolytic properties of cannabinoids.' He also collaborates with organizations like TSIP to develop community-focused AI solutions for medication management. His editorial roles include membership on the Frontiers in Industrial Microbiology editorial board. He actively publishes in journals like Materials Today Advances , ACS Sustainable Chemistry & Engineering , and International Journal of Pharmaceutics .

Philipp Seibمشاهده پروفایل

استاد مهمان

• Biomaterials
• Drug Delivery Systems
• Nanomedicine
• +۵ مورد دیگر

Professor Philipp Seib is a Visiting Professor at the Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, and a SULSA (Scottish Universities Life Science Alliance) Visiting Professor. His research spans the nano- to macro scale with a focus on biomaterials, particularly silk, for applications in drug and cell delivery. Professor Seib's research program integrates fundamental biomaterials science with translational applications. His work can be divided into bottom-up, curiosity-driven research and top-down, challenge-based activities: Silk-based drug delivery systems for tissue engineering and therapeutic applications Advanced drug delivery systems and cellular responses to nanomedicines Engineering cellular microenvironments for stem and cancer cells Development of three-dimensional culture systems mimicking native tissue environments Engineering artificial in vivo stem cell niches as "traps" for circulating tumor cells His research demonstrates a clear progression from basic biomaterials characterization toward clinical applications, particularly in cancer therapy and regenerative medicine. The integration of silk's remarkable physical properties (tougher than manmade fibers) with advanced drug delivery mechanisms represents a significant contribution to biomaterials science. Professor Seib has received notable recognition for his work: Fellow of The Academy of Pharmaceutical Sciences of Great Britain (2021) Fellow Leibniz Institute of Polymer Research Dresden (2018) Professor Seib actively supervises research and secures competitive funding. He serves as Principal or Co-Investigator on multiple significant projects including NMR-BASE, Establishing cerebral organoids as a human model of stroke, and Multiscale Metrology Suite for Next-generation Healthcare Technologies. His laboratory (www.SeibLab.com) develops silk-based hydrogels, nanoparticles, films, and scaffolds processed under mild aqueous conditions for biomedical applications. The Seib Lab operates at the intersection of biomaterials science, drug delivery, and tissue engineering, with research contributing to UN Sustainable Development Goals related to health and well-being. His fingerprint of research activity shows strong connections to mesenchymal stem cells, drug delivery, bone biology, therapeutic procedures, nanoparticles, and in vitro studies.

• Medical Image Segmentation
• Motion Segmentation
• Visual Object Tracking
• +۹ مورد دیگر

Dr. Sandeep Singh Sengar is a Senior Lecturer in Computer Science at Cardiff Metropolitan University, United Kingdom. Prior to his current role, he served as a Postdoctoral Research Fellow at the Machine Learning Section of the Computer Science Department at the University of Copenhagen, Denmark. His academic journey includes a Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India, and an M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India. Sengar actively engages in research collaboration and has organized special sessions and delivered keynote presentations at international conferences. Education: Dr. Sengar holds the following academic qualifications: Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM), Dhanbad, India M. Tech. in Information Security from Motilal Nehru National Institute of Technology, Allahabad, India Research Interests: Dr. Sengar's research focuses on advanced applications of machine/deep learning and computer vision, particularly in healthcare diagnostics and cybersecurity. His work combines theoretical methodologies with practical implementations, including: Medical Image Segmentation (e.g., brain tumors, functional connectivity) Motion Segmentation and Tracking for surveillance and activity recognition Visual Object Tracking and Recognition in dynamic environments Video Compression techniques leveraging adaptive optimization Cybersecurity frameworks targeting DDoS attack mitigation Exploring Metaverse applications in healthcare and AI ethics Publications Trends: His recent articles emphasize interdisciplinary innovation, with a strong focus on healthcare AI and cybersecurity. Key themes include hybrid neural networks for medical imaging, entropy-driven frameworks for neurological disorders, and proactive network threat detection using deep learning. He also investigates emerging technologies like the Metaverse's role in healthcare systems and generative AI's broader applications. Scientific Awards: No scientific awards were explicitly mentioned in the provided texts. Advising & Grants: While Dr. Sengar has not listed formal advisees or grant details, his research mentorship is evident through collaborative projects and conference contributions. He actively participates in organizing special sessions and peer-review processes, fostering academic-industry partnerships. Labs & Teams: Though no specific labs are named, his work aligns with Cardiff Met's research centers and innovation initiatives, such as the PDR International Centre for Design and Research and ZERO2FIVE Food Industry Centre.