جست‌وجوی استاد و پژوهشگر

Lukas Schirrenمشاهده پروفایل

پژوهشگر ارشد

• Open-source energy system modelling
• Deep decarbonisation
• Energy resilience
• +۹ مورد دیگر

Lukas Schirren is a Research Fellow at the Department of Chemical Engineering, Imperial College London, affiliated with the Faculty of Engineering. He collaborates with the University of Oxford, UCL, and TUM on energy systems research. Supervised by Professor Adam Hawkes, his work focuses on open-source energy system modeling, deep decarbonisation, and energy resilience. BSc in Industrial Engineering, Technical University of Berlin (2018–2022) Exchange Semester, INSA Lyon (2021) MSc in Sustainable Energy Futures, Imperial College London (2023–2024, with distinction) His research leverages uncertainty quantification, geospatial analysis, and machine learning to address energy challenges. Key projects include: Industrial Decarbonisation in Ukraine: Modeling green hydrogen integration for ammonia/steel production using PyPSA-Eur (SHIELD project) Machine Learning for Energy Systems: Predictive models for solar PV generation losses Geospatial Analysis of Commodity Production Costs: Assessing hydrogen potential in Laos and Nepal (CCG project) He develops open-source tools like GeoH2-Laos and Slope-Exclusion, with technical expertise in Python, Jupyter Notebook, and GoLang databases. Distinction: Completed MSc with distinction (2024)

• Process Systems Engineering
• Machine Learning
• Surrogate Model Development
• +۳ مورد دیگر

Shakeel Ramjanee is an Honorary Research Fellow in the Department of Chemical Engineering at Imperial College London. His research bridges Process Systems Engineering and machine learning for industrial decarbonisation. 2004–2008: MEng Chemical Engineering (1:1) at Imperial College London 2016–2023: PhD in Process Systems Engineering at Imperial College London His research focuses on: Surrogate Model Development using machine learning, Constrained Nonlinear and Metaheuristic Optimisation frameworks, Industrial Decarbonisation collaborations. He serves as Chair of the IChemE's Oil and Natural Gas Special Interest Group. Fellowships: FIChemE, FEI, FIET, FSarS Professional Accreditations: CEng, PPSE

• Dynamical Systems Theory
• Fluid Turbulence
• Flow Instability
• +۲ مورد دیگر

Dr. Davide Lasagna is an Associate Professor in the Department of Aeronautics and Astronautics at the University of Southampton. His primary research focuses on applying dynamical systems theory to fluid turbulence, with specific interests in flow instability, optimization and control, and model order reduction. He has received funding from the UK's Engineering and Physical Research Council (EPSRC) and the USA's Air Force Office of Scientific Research (AFOSR). Current Research Projects: The shadow of turbulence: algorithms and applications; Sensitivity of Turbulence using Recurrent Flows Collaborations: Bharath Ganapathisubramani, Zheng-Tong Xie, Andrea Da Ronch His work spans theoretical and applied fluid mechanics, with recent publications on chaotic systems, wake flows, and urban aerodynamics. He also coordinates Year 1 and 2 of the Aero & Astro Engineering Programme and teaches courses in engineering design, flight mechanics, and data-driven fluid mechanics.

• Fluid Dynamics
• Applied Mathematics
• Tsunami Propagation
• +۳ مورد دیگر

Dr Julian Thompson is a Senior Lecturer in Mathematical Sciences at York St John University, affiliated with the School of Science, Technology and Health. He holds a BSc from the University of Kent, an MSc in Applied Mathematics from the University of East Anglia, and a PhD in Applied Mathematics from the University of East Anglia. His research focuses on fluid dynamics, particularly surfactant-laden flows and tsunami propagation, with notable experimental and theoretical contributions. Prior to his current role, he held postdoctoral positions at University College London and Loughborough University. Teaching responsibilities include modules on Analysis & Optimisation (1DS005) and Geometry & Groups (2SD004) for the Data Science Degree Apprenticeship course. His research interests span fluid mechanics, environmental hazards modelling, and computational methods, with a strong emphasis on practical applications. Publications highlight interdisciplinary work in fluid dynamics and environmental science, including studies on meteotsunamis, surfactant effects in multi-layer flows, and innovative image comparison techniques. Experimental methodologies and numerical modelling feature prominently in his work.

• Civil Engineering
• Optimisation
• Applied Mathematics
• +۳ مورد دیگر

Aly-Joy Ulusoy is an Imperial College Research Fellow in the Department of Civil and Environmental Engineering at Imperial College London, affiliated with the Faculty of Engineering and the Grantham Institute. Her research focuses on optimisation methods for the design and control of water distribution networks, integrating adaptive systems, hydraulic modeling, and resilience analysis. She holds a Ph.D. (2021) and M.Sc. (2016) from Imperial College London, and an M.Sc. from École Supérieure d’Électricité, France (2016). Previously, she worked as a postdoctoral researcher in Dr. Ivan Stoianov's InfraSense Labs. Education: Ph.D. in Civil and Environmental Engineering, Imperial College London (2021) M.Sc. in Civil and Environmental Engineering, Imperial College London (2016) M.Sc., École Supérieure d’Électricité, France (2016) Her research interests span optimisation algorithms for water network control, adaptive hydraulic systems, data-driven hydraulic modeling, and resilient infrastructure design. Recent work emphasizes dynamically adaptive networks for pressure management, fault localization, and integration of AI for demand forecasting. She explores multi-objective optimization techniques to balance operational efficiency and resilience in water distribution systems. Key research trends include: (1) distributed optimization for real-time control under time-coupling constraints, (2) interpretable AI for water demand prediction, and (3) principled approaches for model maintenance using principal component analysis. Her work bridges theoretical optimisation with practical water infrastructure challenges. Advising and grants: No specific advisees or grants listed. Affiliated with InfraSense Labs, focusing on smart infrastructure and sensor networks. Active in developing methodologies for network resilience under uncertainty. Ongoing projects include adaptive MPC strategies for burst incident management and design-for-control frameworks for dynamically adaptive systems.

Bernard Hernandez Perezمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Healthcare Informatics
• Infectious Disease Diagnostics
• +۶ مورد دیگر

Bernard Hernandez Perez is a Research Fellow at the Department of Infectious Disease, Faculty of Medicine, Imperial College London. He holds a PhD in Computer Science & Healthcare (2019) from Imperial College London, an MSc in Machine Learning from the Royal Institute of Technology (KTH), and dual BSc degrees in Telecommunications and Computer Science from Rey Juan Carlos University. His research focuses on developing AI-driven decision support systems for infectious diseases and antimicrobial resistance surveillance, particularly in low-resource settings. Affiliations: Centre for Antimicrobial Optimisation National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Healthcare Associated Infections and Antimicrobial Resistance Centre for Bio-Inspired Technology Research Interests: His work integrates machine learning and wearable technologies to improve diagnostics for acute febrile illnesses, optimize antimicrobial stewardship, and enhance healthcare decision-making through data-driven approaches. Recent efforts include developing low-cost wearable solutions for dengue monitoring and creating AI tools to support antimicrobial prescribing decisions. Grants & Awards: Imperial College Techcelerate Prize (2020) Labs/Teams: Participates in multidisciplinary teams including the VITAL consortium for dengue research and the NIHR HPRU for AMR surveillance initiatives. Engages in global health collaborations in Vietnam and sub-Saharan Africa.

• Analytical Chemistry
• Biomedical Engineering
• Electrical and Electronic Engineering
• +۳ مورد دیگر

Kenny Malpartida Cardenas is an Imperial College Research Fellow in the Department of Infectious Disease at Imperial College London's Faculty of Medicine. His affiliations include the Centre for Antimicrobial Optimisation, reflecting his focus on advanced diagnostics and infectious disease research. Dr. Cardenas' work bridges analytical chemistry, biomedical engineering, and nanotechnology to develop innovative diagnostic tools. His research interests center on portable molecular diagnostic platforms, rapid point-of-care testing, and antimicrobial resistance analysis. Key projects include electricity-free nucleic acid extraction methods, smartphone-connected lab-on-chip systems, and LAMP-based assays for malaria and dengue detection. These technologies aim to enhance diagnostics in resource-limited settings. Dr. Cardenas has contributed to over 20 peer-reviewed articles since 2018, focusing on multiplex PCR innovations, isothermal amplification techniques, and integration of digital technologies in diagnostics. His work emphasizes practical solutions for global health challenges through engineering and materials science advancements.

• Computational Structural Mechanics
• Non-linear Finite Element Analysis
• Structural Optimisation
• +۶ مورد دیگر

Dr. Stanyslav Grosman is a Research Associate in the Computational Structural Mechanics group within the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He holds the position of Academic Visitor and has been working at Imperial since December 2019. His educational background includes: PhD in Engineering from Imperial College London (2015-2019) MSc in Structural Engineering from Prydniprovs’ka State Academy of Civil Engineering and Architecture, Dnipro, Ukraine (2012-2013) BSc in Civil Engineering from Pridneprovs’k State Academy of Civil Engineering and Architecture, Dnipro, Ukraine (2008-2012) Dr. Grosman's research focuses on computational structural mechanics, particularly non-linear finite element modeling of structures under extreme loading. His work includes the development of algorithms for assessing structural robustness, topology optimization, parametric design, and meta-modelling techniques. He also applies digital image correlation and programming in his research. His recent publications (2017-2022) demonstrate a strong emphasis on masonry structures, especially arch bridges and floor slabs, under various loading conditions including earthquakes, fatigue, and extreme events. The research employs advanced numerical modeling techniques to address challenges in structural safety and durability. Dr. Grosman is currently involved in a Network Rail funded project titled "Realistic Assessment of Masonry Railway Viaducts", which involves high-fidelity modeling of masonry arch bridges under transient traffic loading. He is part of the Computational Structural Mechanics research group, collaborating with experts such as Professor B. Izzuddin and Dr. L. Macorini.

• Surface-Based Reservoir Modelling
• Carbonate Sedimentology and Diagenesis
• Geothermal Energy Systems
• +۷ مورد دیگر

Dr. Carl Jacquemyn is an Advanced Research Fellow in the Department of Earth Science & Engineering at Imperial College London, affiliated with the NORMS group and Petroleum Geoscience & Engineering. His work focuses on grid-free surface-based reservoir modelling, geothermal systems, and subsurface flow dynamics. He holds a PhD from KU Leuven (2013) and an MSc in Mining & Geotechnical Engineering from the same institution (2007). Research interests include quantifying geological heterogeneity, carbonate sedimentology/diagenesis, and integrating 3D outcrop models with reservoir simulations. His Sketch-Based Reservoir Modelling (RRM) tool enables rapid prototyping of geological scenarios for flow diagnostics. Current projects explore geothermal well design, Arab-D Formation storm scours, and CO2 storage mechanisms. Key contributions include developing dynamically adaptive mesh optimisation for geothermal reservoirs and advancing surface-based methodologies to preserve complex geological features in simulations. His work addresses challenges in grid limitations, well trajectory representation, and multi-scale heterogeneity impact assessment.

Alexey Ignatievمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Formal Methods
• Satisfiability Modulo Theories (SMT)
• +۳ مورد دیگر

Alexey Ignatiev is an Associate Professor in the Optimisation research group at Monash University's Faculty of Information Technology. Previously, he was a postdoctoral researcher and researcher at the University of Lisbon's Faculty of Sciences, focusing on SAT/SMT-based decision procedures. He holds a Ph.D. from the Matrosov Institute for System Dynamics and Control Theory (Russian Academy of Sciences), where his thesis explored parallel CDCL-BDD integration. His research emphasizes formal methods in AI, including explainable AI (XAI), SAT-based reasoning, and optimization for applications like software upgradability, model-based diagnosis, and fault localization. His work spans over 100 publications, with notable contributions to MaxSAT solving (RC2 solver), neuro-symbolic frameworks (NEUSIS), and rigorous explanations for machine learning models. He has collaborated extensively with institutions like the University of Lisbon and Monash University, contributing to advancements in formal verification and interpretable machine learning.

Giles Richardsonمشاهده پروفایل

استاد

• Renewable Energy Storage
• Biomedical Modelling
• Mathematical Physics
• +۴ مورد دیگر

Professor Giles Richardson is a leading academic at the University of Southampton , holding the rank of Professor in Applied Mathematics. His research activities are deeply integrated with the Institute for Life Sciences and Applied Mathematics and Theoretical Physics research groups. Education: BSc Mathematics (Bristol), MSc Mathematical Modelling (Oxford), DPhil Applied Mathematics (Oxford) Richardson's research spans renewable energy systems and biomedical applications , with specific focus on: Mathematical modelling of lithium-ion battery performance and degradation Perovskite solar cell physics and stability challenges Photo-electrochemical water splitting for hydrogen fuel Redox flow battery optimisation Magnetically targeted drug delivery mechanisms Alzheimer's disease and cerebral drainage failures His recent publications demonstrate expertise in: Advanced electrochemical modelling techniques Mathematical physics applications to energy systems Materials science diagnostics for photovoltaic technologies Computational methods for battery simulation Scientific achievements include: John Ockendon Prize 2018 John Ockendon Prize 2020 Richardson has developed the IonMonger 2.0 simulation tool and co-founded DandeLiion , a software company providing physics-based battery simulations. His teaching portfolio includes modules in: Numerical Methods (MATH3018/6141) Modelling with Differential Equations (MATH6149) Mathematics for Electronics (MATH2047)

Johan Wesselooمشاهده پروفایل

استاد

• Mining geotechnical engineering
• Mining induced seismicity
• Rock Mechanics
• +۶ مورد دیگر

Johan Wesseloo is a Professor at The University of Western Australia, affiliated with the School of Engineering and the Australian Centre for Geomechanics. His academic credentials include a BE, ME, and PhD from the University of Pretoria. His research focuses on critical aspects of mining geomechanics with emphasis on safety and optimization in mining operations. Professor Wesseloo's research interests span mining geotechnical engineering, mining-induced seismicity, rock mechanics, rock engineering, and ground support systems. His work particularly addresses mine-induced seismicity and rockburst behaviour, risk-based geotechnical design, and both open pit and underground geomechanics. His research integrates theoretical modeling with practical applications to solve complex mining challenges. His publication portfolio demonstrates a strong focus on seismic risk assessment, rock failure mechanisms, and optimization of mining operations. Recent work shows increasing attention to probabilistic approaches in geomechanical design and the integration of numerical modeling with field observations to improve mining safety and efficiency. SAIMM Gold Medal (2020) SAIMM Gold Medal (2017) SAIMM Silver Medal (2015) SAIMM Gold Medal (2006) Professor Wesseloo leads an extensive research program with significant industry funding, currently managing multiple active projects through 2028 with major mining companies including Gold Fields, OZ Minerals, Newmont, Agnico Eagle Mines, and Alamos Gold Inc. His research group focuses on mining-induced seismicity and rockburst risk management in hard rock mines. He has also contributed substantially to academic discourse through editorial roles for major conferences including Ground Support 2023, the Second International Conference on Underground Mining Technology, the 1st International Conference on Mining Geomechanical Risk, and the 8th International Conference on Deep and High Stress Mining. The Australian Centre for Geomechanics serves as the primary research hub for Professor Wesseloo's work, where he leads the mXrap development project, Ground Support Systems Optimisation (GSSO), probabilistic stope support design initiatives, and physical and numerical modeling of caving geomechanics. His team collaborates extensively with industry partners to translate research findings into practical mining applications.

Siobhan Reidمشاهده پروفایل

مدرس ارشد

• Clinical biomechanics
• Human movement analysis
• Exercise rehabilitation
• +۷ مورد دیگر

Siobhan Reid is a Senior Lecturer in the School of Human Sciences at The University of Western Australia. With 20 years of experience in clinical biomechanics, she specializes in understanding human movement and exercise rehabilitation for individuals with disabilities, particularly those with neuromuscular disorders such as Cerebral Palsy. She serves as the Course Coordinator for the Masters of Clinical Exercise Physiology program and the Combined Bachelor-Masters in Clinical Exercise Physiology. Dr. Reid teaches several units including SSEH3555 - Motor Development: Principles to Teaching in Practice, SSEH5667 - Clinical Paediatrics & Disability, and SSEH5645 - Workplace Injury and Prevention Research. She also leads the School's Paediatric Exercise Programs, which provide movement and physical activity opportunities for children aged 3 to 18 years who have difficulty learning fundamental movement skills. Her research focuses on rehabilitation for those with neurodevelopmental disability and disease, with specific interests in evidence-based practice for managing children with cerebral palsy, musculoskeletal and neurodevelopmental pathways in cerebral palsy, and exercise rehabilitation for children with neurodevelopmental disabilities. Her work contributes to UN Sustainable Development Goals related to health and wellbeing. Dr. Reid's research output reveals a strong focus on developmental coordination disorder, cerebral palsy management, and physical activity interventions. Her work spans biomechanics, clinical gait analysis, and rehabilitation strategies, with significant contributions to understanding movement difficulties across various neurodevelopmental conditions. UWA Award for Excellence in Teaching (2022) BrightSpark Fellowship ($278,000) for 'Hitting the Right Spot: Optimising treatment with Botulinum Neurotoxin Type A in children with Cerebral Palsy' (2013-2017) Travel Grant from Ian Potter Foundation for American Academy of Cerebral Palsy & Developmental Medicine (2009) Dr. Reid actively supervises PhD and Higher Degree by Research students, currently accepting new candidates. She has secured substantial research funding including an NHMRC MRFF grant of $1.5M (2022-2027) for the CPMovetime project, a Waterloo Foundation grant of $120,000 (2020), and multiple UWA Research Development Awards. Her collaborative work extends across institutions including University of Queensland and international partners. She leads the School's Paediatric Exercise Programs and has been instrumental in developing community initiatives to connect children with disabilities to leisure activities through technology solutions.

Jean-Marc Schwartzمشاهده پروفایل

مدرس ارشد

• Systems Biology
• Metabolic Networks
• Constraint-based Analysis
• +۵ مورد دیگر

Jean-Marc Schwartz is a Senior Lecturer in the Division of Evolution, Infection and Genomics at the Faculty of Biology, Medicine and Health, University of Manchester. He has held this position since 2016, having previously served as Lecturer (2011-2016) and Physical/Life Sciences Interface Independent Research Fellow (2006-2011) at the University of Manchester. He also serves as an External Examiner at the University of Glasgow (2020-2027) and is affiliated with multiple research institutes including the Digital Futures Institute for Data Science and AI, Lydia Becker Institute, and Christabel Pankhurst Institute. His educational background includes: PhD in Computer Engineering from Laval University (Canada), 1999-2003 Research Associate at Max-Planck Institute for Biochemistry (Germany), 1995-1999 Engineering degree from École Centrale Paris (France), 1991-1994 Dr. Schwartz specializes in Systems Biology, with research focusing on constraint-based analysis of metabolic networks, integrative and dynamical modeling of biological systems, and systems pharmacology. His work bridges computational approaches with experimental biology to understand complex cellular processes through chemical and physical models. He develops innovative methodologies for data integration, network analysis, model construction and simulation to advance global understanding of biological functions beyond traditional reductionist approaches. His recent publications demonstrate strong trends in metabolic modeling, biomanufacturing optimization, and computational approaches to cellular dynamics. His work increasingly focuses on applying systems biology to pharmaceutical development and bioproduction challenges, particularly with Chinese Hamster Ovary (CHO) cells for therapeutic protein production, showing significant contributions to biomanufacturing processes and metabolic engineering. Dr. Schwartz is actively involved in research funding and collaboration: Co-Investigator on "Optimisation of CHO for Biotherapeutic Manufacture" (2021-2026) Member of the Digital Futures Institute for Data Science and AI Member of the Lydia Becker Institute Member of the Christabel Pankhurst Institute With 37 supervised students and 124 research outputs including 92 articles, 11 conference contributions, and 6 review articles, Dr. Schwartz maintains an active research program that bridges computational modeling with experimental biology. His work contributes to UN Sustainable Development Goals, particularly in health and well-being areas through systems pharmacology and drug metabolism research.

Jian-Bo Yangمشاهده پروفایل

استاد

• Evidential Reasoning
• Probabilistic Inference
• Multiple Criteria Decision Analysis
• +۱۰ مورد دیگر

Jian-Bo Yang is Professor and Chair of Decision and System Sciences at the University of Manchester. With over £3.78m in secured research funding from 49 projects (including 17 EPSRC/ESRC grants), he leads research in decision sciences and analytics. He coordinates multiple courses including Quantitative Methods for Management and Decision Analysis for Business, while supervising PhD, MPhil, and MSc students. His research integrates evidential reasoning , probabilistic inference , and multi-criteria decision analysis to address complex problems in risk assessment, resource optimization, and intelligent systems. Recent publications demonstrate focus on: Theoretical advances in evidence-based decision frameworks Evolutionary algorithms for industrial optimization Uncertainty quantification in multi-source data fusion Yang has developed software systems like the Intelligent Decision System (IDS) and collaborates through the Data Science Institute and Decision and Cognitive Sciences Research Centre . His work supports UN Sustainable Development Goals through improved decision methodologies.