جستجوی استاد راهنمای دانشگاهی

Anthony McGann is Professor of Politics at the School of Government and Public Policy, University of Strathclyde, with affiliations at the University of California, Irvine's Institute for Mathematical Behavioral Sciences and Center for the Study of Democracy. His research examines democratic institutions, electoral systems, and policy dynamics, with focus on gerrymandering, proportional representation, and voter behavior. Education includes: PhD in Political Science, Duke University (1999) MA, Duke University (1993) BA in Philosophy, Politics and Economics, University College, Oxford (1989) Research explores how institutional designs like electoral rules and district boundaries shape policy outcomes and political representation. Publications analyze comparative legislative behavior, public opinion-policy linkages, and constitutional constraints on redistricting, emphasizing quantitative approaches to political dominance and intra-party competition. Current projects investigate partisan polarization effects on federalism and electoral reform. Supervises doctoral candidates and serves as External Examiner at University of Essex since 2021.

• Political Science
• Democratic Theory
• Electoral Systems
• +۲ مورد دیگر

Rob Hierons is Professor and Chair in Testing at the University of Sheffield's School of Computer Science. His research develops automated testing techniques for software systems, focusing on model-based testing, distributed systems, and recently autonomous robotics. He aims to enhance software quality through efficient test generation from specifications and code. His work spans theoretical foundations and practical applications, including CSP-based testing models and diversity-based test optimization. Current interests include verification of robotic systems and causal testing frameworks. He has published extensively in software engineering venues and serves in editorial roles for major testing journals.

• Software Testing
• Autonomous Systems
• Robotics

Roberto Sabatini is a Professor and Chair of the Aerospace Engineering Department at Khalifa University, where he founded the Aerospace Systems Research Group (ASRG) and Guidance, Navigation and Control Laboratory (GNCLab). He leads the FALCON Program developing sustainable aviation and Advanced Air Mobility research. With over three decades of aerospace experience across international institutions, his work focuses on integrating advanced technologies in aviation and space systems. Education includes: PhD in Aerospace Engineering (Cranfield University) PhD in Space Geodesy (University of Nottingham) MSc in Astronautical Engineering (Sapienza University of Rome) MSc in Navigation Technology (University of Nottingham) EMBA (Quantic School of Business) Research interests center on aerospace robotics, autonomous systems, and multi-domain traffic management with emphasis on safety-critical avionics and sustainable aviation technologies. Recent publications demonstrate strong focus on AI applications in air/space traffic management and autonomous systems. Awards and honors: 2024 Aviation Business Technology Innovation Award 2021 Aerospace Distinguished Leadership Award 2019 Defence Scientist of the Year 2017 Northrop Grumman Scholarship 2016 SARES Science Award 2015 SAE Arch Colwell Merit Award 2008 NATO Scientific Achievement Award Leads the ASRG research team with multiple PhD students and postdoctoral fellows. Secured over $25M in research funding from government and industry partners including UAE Space Agency and NASA RASC-AL.

• Aerospace Vehicle Design
• Avionics Systems
• Spaceflight Systems
• +۱۰ مورد دیگر

Prof. Zhengtao Ding is a Chair of Control Systems and Head of the Control, Robotics and Communication Division at the University of Manchester. He holds a BEng from Tsinghua University and MSc/PhD from the University of Manchester. His research focuses on nonlinear and adaptive control, distributed optimization, machine learning applications in robotics and power systems, and disturbance rejection in dynamic systems. He has authored/co-authored three books and over 300 papers, and serves as Editor-in-Chief for Drones and Autonomous Vehicles and Specialty Chief Editor for Frontiers in Control Engineering . Education : BEng, Tsinghua University (China) MSc in Systems and Control, University of Manchester PhD in Control Systems, University of Manchester His research interests span networked control systems, distributed optimization, and AI-driven robotics. Recent work emphasizes multi-agent systems, consensus algorithms, and fault-tolerant control. Key contributions include fixed-time control strategies and Nash equilibrium-seeking mechanisms for heterogeneous systems. Scientific awards include Fellowship at the Alan Turing Institute. He has supervised 32 students and led projects funded by EPSRC and industry collaborations. Active in editorial roles for journals like IEEE Transactions on Automatic Control and Neurocomputing . Labs/Teams: Control Systems Centre, University of Manchester.

• Nonlinear Control Systems
• Adaptive Control Systems
• Distributed Optimization
• +۵ مورد دیگر

Professor Wuqiang Yang is a world-leading authority in Electrical Capacitance Tomography (ECT) at The University of Manchester. His work spans ECT system design, image reconstruction algorithms, and industrial applications, contributing to advancements in oil/gas, pharmaceutical, aerospace, and chemical industries. He holds Fellowships from IEEE, IET, and InstMC, and has authored over 400 publications with 11,921 citations. Education: BEng, MSc, PhD (Tsinghua University) Research Interests: ECT development and industrial applications Multiphase flow measurement Robotics and tactile sensors His ECT innovations have enabled technologies like Schlumberger's flowmeters and Airbus's fuel system optimization. Recent work includes touch sensors for elderly care robots and high-temperature ECT for chemical reactors. Awards: 2021 IEEE IMS Best Application Award 2000 IEE Ayrton Premium 1997 IEE/NPL Wheatstone Prize Advising & Grants: Supervised over 20 PhD students and collaborated with global industries. Current projects include robot ECT systems and low-cost ECT devices. Labs/Teams: Director of the Joint Research Laboratory of Touch Sensors for Domestic Robots (with Beijing Tashan Technology Co. Ltd), and academic visitor collaborations across 10+ institutions worldwide.

• Electrical Capacitance Tomography (ECT)
• Multiphase Flow Measurement
• Sensors and Instrumentation
• +۳ مورد دیگر

Wentao Li is a Lecturer in Statistics at the University of Manchester (2021–present). Previously, he held positions as Assistant Professor at the University of Hong Kong (2019–2021), Lecturer at Newcastle University (2017–2018), and Senior Research Associate at Lancaster University (2013–2017). He earned a PhD in Statistics from Rutgers University (2013), an M.S. from Colorado State University (2008), and a B.S. from the University of Science and Technology of China (2006). His research focuses on Bayesian asymptotic theory, computational methods, Monte Carlo techniques, and simulation-based inference, with applications to financial time series and state-space models. Recent work emphasizes developing algorithms like approximate Bayesian computation (ABC) and sequential Monte Carlo for intractable likelihood models. He supervises a 2025 PhD studentship on Bayesian computation. Key contributions include studies on ABC convergence, asymptotic efficiency, and scalable methods for big data. His work bridges theoretical foundations and practical applications in econometrics, population genetics, and other fields.

• Bayesian asymptotic theory
• Bayesian computation methods
• Monte Carlo methods
• +۳ مورد دیگر

William Lionheart is a Professor of Applied Mathematics at the University of Manchester, specializing in inverse problems with applications in imaging across industry, security, medicine, and non-destructive testing. He leads research collaborations including the Henry Mosley Centre for X-ray Imaging and the Land Mine Research Centre. His work integrates theoretical, numerical, and practical methods to advance imaging technologies. Education: BSc, PhD in Applied Mathematics. Key research areas include electrical impedance tomography, X-ray imaging, and polarizability tensor-based object characterization. He has pioneered techniques for metallic object detection and medical imaging applications. Research highlights include developing algorithms for synthetic aperture radar, elastic strain reconstruction, and proton therapy verification systems. Awards include the Wolfson Research Merit Award (2015) and a 2013 recognition. He has contributed to 193+ research outputs, led 11 projects (e.g., RASTER, SEMIS Phase III), and organized conferences like the 2023 'Rich and Nonlinear Tomography' event. His work impacts airport security, land mine detection, and medical diagnostics, generating over USD215M in industrial applications.

• Inverse Problems
• Imaging Techniques
• Medical Imaging
• +۳ مورد دیگر

Dr. Eric Keaveny is a Reader in Applied Mathematics at the Department of Mathematics, Imperial College London. He is affiliated with multiple research groups including Applied Mathematics and Mathematical Physics, Biomathematics Group, Fluid Dynamics, and Mathematics in Medicine. His work focuses on computational modeling of fluid-structure interactions, particularly in biological systems such as microorganism locomotion and cilia-driven transport. He holds an EPSRC Standard Grant and an Imperial European Partners Fund Grant, and has received the Faculty of Natural Sciences Excellence in Teaching Award (2017). His research explores topics like coordinated motion of active filaments, stochastic suspensions, and hydrodynamic interactions in complex fluids. Education: Ph.D. in Applied Mathematics (Brown University, 2008), ScM Applied Mathematics (Brown University, 2006), B.S. Applied Physics (Columbia University, 2001). Research interests include microorganism locomotion, suspensions of interacting particles, low Reynolds number hydrodynamics, and numerical methods for fluid dynamics. His recent work involves simulating ciliary transport in lungs and developing algorithms for large-scale particle simulations. Grants/Awards: EPSRC Standard Grant (2017-2021), Imperial European Partners Fund Grant (2017-2019), Fulbright Fellowship (2012). He has supervised multiple interdisciplinary collaborations, including a joint Imperial-TUM doctoral program. Teaching: Currently lectures on Computational Dynamical Systems (MATH60023/70023). Previous courses include M3/4/5N9 (Autumn 2016).

• Applied Mathematics
• Fluid Dynamics
• Biophysics
• +۴ مورد دیگر

Giordano Scarciotti is a Senior Lecturer in the Department of Electrical and Electronic Engineering at Imperial College London, within the Faculty of Engineering. His research focuses on control systems, model reduction, and nonlinear dynamics, with applications in energy systems such as wave energy converters. He leads the Control and Power Research Group and has affiliations with organizations like EPSRC and MINES ParisTech. Scarciotti has received notable awards, including the IEEE Transactions on Control Systems Technology Outstanding Paper Award and the President's Award for Excellence in Teaching Innovation. His work emphasizes data-driven methods and stochastic control, addressing challenges in large-scale systems like wind farms and differential-algebraic systems. Research Interests: Nonlinear and stochastic control theory Model reduction techniques (moment matching, data-driven approaches) Energy systems optimization (wave energy, wind farms) Control of complex systems with constraints Awards: IEEE Transactions on Control Systems Technology Outstanding Paper Award IET Control & Automation PhD Award President's Award for Excellence in Teaching Innovation Grants & Collaborations: EPSRC-funded research on model reduction Affiliations with MINES ParisTech and the Italian Embassy in London Scarciotti's recent publications emphasize innovative methods for system modeling and control, including energy-maximizing strategies for wave energy systems and hybrid observer-based approaches for output regulation.

• Control Systems
• Model Reduction
• Nonlinear Dynamics
• +۳ مورد دیگر

Volker Deringer is an Associate Professor of Theoretical and Computational Inorganic Chemistry at the University of Oxford's Department of Chemistry. He holds a Tutorial Fellowship at St Anne's College and teaches Inorganic Chemistry to first- and second-year students at St Anne's and Oriel Colleges. His research focuses on combining quantum mechanics with machine learning to model materials at the atomic scale, with emphasis on amorphous solids, functional materials design, and interatomic potential development. Education: He earned his diploma (2010) and doctorate (summa cum laude, 2014) in Chemistry from RWTH Aachen University, Germany, under Prof. Richard Dronskowski. Postdoctoral positions included a Humboldt Fellowship at the University of Cambridge (2015) and a Leverhulme Early Career Fellowship (2017). Research Interests: Machine learning interatomic potentials, structural chemistry of amorphous solids, functional materials for energy storage and electronics. His work bridges theoretical/computational methods with experimental collaborations, emphasizing practical applications like phase-change memory materials and graphene oxide systems. Publications: Over 100 articles since 2017, including high-impact journals like Nature, Nature Chemistry, and Nature Communications. Recent work explores AI-driven materials discovery, amorphous silicon dynamics, and battery anode design. Key themes include accelerating simulations via ML, understanding disorder in materials, and developing transferable interatomic potentials. Grants/Awards: Recipient of Alexander von Humboldt and Leverhulme Fellowships. Active in cross-disciplinary projects combining AI and materials science. Labs/Teams: Leads a research group focused on computational materials design, collaborating with experimentalists globally. Involved in developing open-source tools like LOBSTER for chemical bonding analysis.

• Theoretical Chemistry
• Computational Materials Science
• Machine Learning in Chemistry
• +۳ مورد دیگر

Professor Peter Ireland FREng is a Donald Schultz Professor of Turbomachinery and Director of the Oxford Thermofluids Institute at the University of Oxford. He specializes in advanced cooling technologies for aero-engines and decarbonization strategies for aviation. His research pioneered temperature-sensitive liquid crystal techniques for heat transfer analysis, now widely used in industry. He previously served as a senior heat transfer specialist at Rolls-Royce (2007–2011), addressing turbine cooling, nuclear power, and fire modeling challenges. Currently, he leads a team of 16 researchers and co-founded two companies focused on cooling innovations and zero-carbon flight. His research interests include turbine blade cooling systems, high-heat-flux materials, and plasma-facing components for fusion reactors. He has authored over 230 papers and holds 25+ patents, with recent work emphasizing transpiration cooling, aerothermal stress modeling, and effusion cooling optimization. Awards include Fellowships from the Royal Academy of Engineering, the Institution of Mechanical Engineers, and St. Catherine’s/St. Anne’s Colleges. Key contributions: Liquid crystal cooling measurement techniques, high-performance turbine cooling designs Consultancies: Heat exchangers, zero-carbon flight technologies Labs: Oxford Thermofluids Institute

• Aero-engine Cooling
• Thermofluids Engineering
• Heat Transfer Measurement
• +۳ مورد دیگر

Professor Serhiy Stepanchuk is a faculty member in the Department of Economics at the University of Southampton. He specializes in macroeconomics, taxation policy, and international economics. His research focuses on household behavior, fiscal policy design, and financial integration effects. Currently supervising four PhD students in Economics, he is actively accepting new PhD applications. His work appears in top journals such as the Journal of Monetary Economics and Quantitative Economics . Research interests include optimal taxation frameworks, dynamic economic modeling, and global imbalances analysis. Recent studies explore topics like time-averaging effects in taxation, financial market integration impacts, and portfolio choice dynamics. Collaborative projects with institutions like the University of Oslo highlight his international academic engagement. Publications consistently address policy-relevant questions in macroeconomic theory, using advanced quantitative methods. His contributions bridge theoretical models with empirical applications, particularly in understanding household responses to tax systems and financial market structures.

• Macroeconomics
• Taxation Policy
• Household Economics
• +۳ مورد دیگر

Professor Zi-Qiang Zhu is a distinguished academic and researcher in electrical engineering at the University of Sheffield, holding a Personal Chair and leading the Electrical Machines and Drives Research Group. He earned his BEng and MSc from Zhejiang University and his PhD from the University of Sheffield. His career spans over 35 years, focusing on high-efficiency permanent magnet machines and drives for electric vehicles, renewable energy, and industrial applications. He has secured over £30M in research funding and founded key research centers like the Sheffield Siemens Gamesa Renewable Energy Research Centre. Research interests include novel machine designs (Halbach, switched-flux, magnetically geared), control strategies (PWM, sensorless), and thermal management. His work has resulted in over 100 patents and 1000+ papers, including 400+ IEEE Transactions contributions. Notable awards include the 2021 IEEE Nikola Tesla Award and multiple best paper prizes. He has chaired major conferences and delivered over 26 keynote speeches globally. Education : BEng (Zhejiang U, 1982), MSc (Zhejiang U, 1984), PhD (Sheffield U, 1991) Affiliations : Royal Academy of Engineering/Siemens Chair, Founding Director of CRRC Electric Drives Tech Centre His research spans from fundamental electromechanical theory to industrial partnerships with Rolls Royce, Siemens, and others. Key areas of impact include wind power generators, EV propulsion, and energy-efficient domestic appliances.

• Electrical Engineering
• Power Electronics
• Electric Machines and Drives
• +۵ مورد دیگر

Dr. Jyotirmoy Dalal is a Lecturer in Decision Sciences at the Sheffield University Management School (University of Sheffield, UK) since December 2022. He previously served at the Indian Institute of Management (IIM) Lucknow (2017–2022) and IIM Udaipur (2014–2017), focusing on Operations, Quantitative Methods, and Information Systems. He holds a PhD in Industrial and Systems Engineering from Texas A&M University. His research emphasizes large-scale optimization techniques applied to humanitarian logistics, emergency network design, food insecurity systems, and supply chain management. His work has been published in prestigious journals like Transportation Science , IISE Transactions , and Naval Research Logistics . Research Trends : Recent publications focus on humanitarian operations (e.g., foodbank network design, emergency response systems), stochastic programming, and case studies in disaster management and social initiatives. His work bridges theoretical optimization models with real-world applications in crises and resource allocation. Teaching : Teaches courses like MGT3010 (Applications of Operations and Supply Chain Management) and MGT138 (Analysis for Decision Making). He emphasizes practical applications of operations research in logistics and decision-making. Labs/Teams : Engaged in collaborative projects involving humanitarian logistics, though no specific lab names are mentioned. Active in PhD supervision focusing on emergency logistics, food bank operations, and supply chain resilience.

• Large-scale optimization
• Humanitarian logistics
• Emergency network design
• +۳ مورد دیگر

Dr. Lucas Miotto is a Senior Lecturer in Law at the University of Surrey's Surrey Law School, specializing in legal philosophy, applied ethics, and criminal law. He holds a PhD from the University of Edinburgh and a Research Master’s from PUC-Rio, Brazil. His research focuses on the ethics of legal coercion, digital manipulation, and global health justice. Previously, he taught at Maastricht University and Leeds Beckett University, and held a visiting fellowship at Brown University. Education: PhD in Law, University of Edinburgh (2018) Research Master’s in Theory of the State and Constitutional Law, PUC-Rio, Brazil Qualified lawyer in Brazil Research Interests: Dr. Miotto’s work bridges jurisprudence and applied ethics, addressing the morality of legal governance and coercion. Key areas include: the coercive nature of legal systems, regulation of online manipulation, experimental jurisprudence, and global health justice. His collaborative projects explore digital ethics and transitional health systems. Publications: His work appears in leading journals ( Oxford Journal of Legal Studies , Law and Philosophy ) and edited volumes. Recent topics include legal coercion’s folk intuitions, health justice in transitioning systems, and algorithmic manipulation’s ethical implications. Teaching and Engagement: He teaches Public Law, Criminal Law, and Legal Philosophy. Beyond academia, he runs the Legal-Phi blog, translates philosophy papers into Portuguese, and contributes to public discourse on topics like punishment ethics and digital law. Labs/Teams: Member of the Surrey Centre for Law and Philosophy, collaborating on interdisciplinary projects in digital ethics and global health.

• Legal Philosophy
• Applied Ethics
• Criminal Law
• +۳ مورد دیگر