جستجوی استاد راهنمای دانشگاهی

• Polyhedral combinatorics
• Extended formulations
• Combinatorial optimization
• +۲ مورد دیگر

Samuel Fiorini is Associate Professor in the Department of Mathematics at the Université libre de Bruxelles (ULB) , member of the Algebra and Combinatorics group (CP 216). His research centres on polyhedral combinatorics, extended formulations, combinatorial optimisation and approximation algorithms , with frequent overlap into structural graph theory. Research in depth: Fiorini’s work explores how high-dimensional polytopes can sometimes be expressed compactly through extended formulations, proving exponential lower bounds when they cannot. He has contributed new approximation algorithms for classical problems such as vertex cover, clique transversal and odd-cycle packing, and has advanced the understanding of sorting and entropy in partially ordered sets. His papers often combine tools from graph minors, communication complexity and polyhedral theory. Scientific recognition: Best Paper Award, 44th ACM Symposium on Theory of Computing (STOC 2012) Programme committees: FOCS, IPCO, APPROX, STACS, WAOA Organiser, Sixth Cargese Workshop on Combinatorial Optimization Advising & grants: He currently supervises PhD students Carole Muller and Matthew Drescher and has mentored six completed PhDs as well as more than a dozen post-doctoral researchers. His group has been supported by an ERC starting grant and other national and international projects focusing on polyhedral approaches to hard optimisation problems. Lab & team: Fiorini leads a vibrant team within the Algebra and Combinatorics cluster at ULB, maintaining active collaborations with researchers worldwide and hosting frequent visitors working on discrete optimisation and polyhedral combinatorics.

Sven Scheweمشاهده پروفایل

استاد

• Automata Theory
• Game Theory
• Formal Verification
• +۱۲ مورد دیگر

Sven Schewe is a Professor in the Department of Computer Science at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. He leads the AI Section and is a founding member and former leader of the Verification Group. He also has secondary affiliations with the Algorithms, Complexity Theory and Optimisation Group and the Institute for Risk and Uncertainty. Research Interests: His research centers on automata theory and game theory, particularly their applications in the verification and synthesis of reactive and safety-critical systems. He investigates infinite-duration games, automata over infinite words and trees, and develops algorithms and tools for automated verification, synthesis, and learning of optimal control strategies. His work extends to reinforcement learning with formal guarantees, cyber-physical systems, and AI safety. Recent Research Trends: His recent publications demonstrate a strong integration of formal methods with machine learning, particularly in adversarial training, neural network robustness, and model-free reinforcement learning under omega-regular objectives. He also applies formal reasoning to interdisciplinary domains such as chemical space exploration and materials science. Scientific Awards: Finalist for the ERCIM Cor Baayen Award 2010 Dr. Eduard Martin Preis 2009 GI Dissertation Award 2008 Advising and Grants: He actively supervises numerous PhD students and postdoctoral researchers. He is Principal Investigator (PI) or Co-Investigator (CI) on multiple major grants, including EPSRC Programme Grants, Royal Society Fellowships, and Horizon Europe projects. His funded research spans topics such as game theory, verification, synthesis, reinforcement learning, and risk analysis. He has hosted visiting researchers and collaborated internationally with institutions in Germany, France, India, Taiwan, and the US. Labs and Teams: He co-founded and led the Verification Group and previously led the AI Section at the University of Liverpool. These groups focus on formal methods, automata, games, and their applications in AI and safety-critical systems.

Rakesh Nandiمشاهده پروفایل

پژوهشگر ارشد

• Queueing systems
• Stochastic modelling
• Numerical optimisation
• +۱ مورد دیگر

Rakesh Nandi is a Research Fellow at the Aviation Studies Institute (ASI) of Singapore University of Technology and Design (SUTD). He previously held a research fellowship under Dr. Shrutivandana Sharma at the Engineering Systems and Design (ESD) school at SUTD. His work focuses on optimizing and analyzing air traffic networks, with projects such as Network Capacity and Network Collaboration under Professor Peter Jackson. Rakesh earned his Ph.D. in Mathematics from National Institute of Technology Raipur (2020) and an M.Sc. in Applied Mathematics from Guru Ghasidas University (2013). His research interests span queueing systems , stochastic modeling , numerical optimization , and network modeling/scheduling . He collaborates on projects requiring advanced computational and analytical methods for discrete-time queueing systems. His recent publications (2018–2022) emphasize queueing theory applications, stochastic processes, and optimization in discrete-time systems. Key topics include D-BMAP/G/1 queues, GI/D-MSP queue analysis, and N-policy control strategies. While no scientific awards are listed, Rakesh demonstrates active research in operations research and applied mathematics. He has no documented advisees or grants mentioned. He contributes to interdisciplinary teams at ASI and ESD, focusing on aviation systems and network efficiency.

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.

• Computational Modelling
• Optimization
• Simulation
• +۶ مورد دیگر

John Betts is a Senior Lecturer in the Department of Data Science & AI at Monash University's Faculty of Information Technology. He serves as Course Director for the Bachelor of Information Technology and previously held roles as Chief Examiner and Lecturer for multiple IT units. His research focuses on computational modelling, optimization, simulation, and data science, with applications in societal polarization, healthcare, and retail inventory systems. Education: Doctor of Philosophy (Operations Research), Monash University (2003) Graduate Diploma in Statistics/Operations Research, RMIT University (1996) Postgraduate Diploma in Mathematics and Mathematics Education, University of Melbourne (1992) Diploma in Education, Monash University (1984) Bachelor of Arts, Monash University (1983) Research Interests: Dr. Betts explores computational methods to address variability in complex systems, including agent-based modeling for societal polarization, optimization in healthcare (e.g., prostate brachytherapy), and simulation-driven decision-making in retail and transportation. His work contributes to UN SDGs related to education and sustainable cities. Projects: Leading the Optimising multi-item retail inventories project (2021–2026) focusing on inventory optimization algorithms. Contributing to the Biofocussed Prostate Cancer RadioTherapy (BiRT) project (2017–2021), developing personalized radiation therapy plans. Investigating Societal Polarization dynamics via agent-based models and hate crime measurement frameworks. Advising & Grants: Dr. Betts has secured $2.5M+ in research funding, including ARC grants for retail optimization and prostate cancer treatment planning. He advises on interdisciplinary projects spanning computer science, healthcare, and social sciences. Labs/Teams: Collaborates with Monash’s Data Science Institute and the Australian Research Data Commons, contributing to the Temporal Networks Security group and Health Informatics initiatives.

Calvin Tsayمشاهده پروفایل

مدرس

• Optimization Algorithms
• Process Control
• Machine Learning Optimization
• +۲ مورد دیگر

Calvin Tsay is a Lecturer (Assistant Professor) in the Computational Optimisation Group at Imperial College London, holding the BASF/RAEng Senior Research Fellowship in Scale-Bridging Modelling. Education: PhD Chemical Engineering (UT Austin 2020), BS/BA (Rice University 2015). Research develops optimization methods bridging machine learning and process systems engineering. Specializes in mixed-integer programming for neural networks and Bayesian optimization for energy applications. Awards: President's Medal for Early Career Researcher RAEng Senior Research Fellowship CACE Best Paper (2023) COIN-OR Cup (2022) Leads research on AI-driven chemical process optimization. Supervises PhD students in ML optimization and process control. Collaborates with BASF on industrial applications.

Maryam Bostanaraمشاهده پروفایل

پژوهشگر

• Transport planning
• Econometric and statistical methods
• Machine learning
• +۱ مورد دیگر

Dr. Maryam Bostanara is a Researcher at the City Futures Research Centre (CFRC) , part of the School of Built Environment at the University of New South Wales (UNSW Sydney). She completed her PhD in 2024 at the Research Centre for Integrated Transport Innovation (rCITI) , School of Civil and Environmental Engineering , UNSW Sydney, with a thesis titled "Urban Dynamics and Household Decisions: Advanced Statistical Methods in Relocation, Land Use, and Transport Planning." She holds a BSc and MSc in Industrial Engineering (Systems Optimization) from Sharif University of Technology, Iran (2016 and 2018). Maryam’s research focuses on the intersection of transport and land-use, emphasizing behavioral models and data-driven approaches to urban sustainability. Her work integrates data visualization , machine learning , and econometric methods to analyze residential relocation, transport planning, and urban dynamics. A notable trend in her publications is the application of advanced statistical frameworks (e.g., DDCM, survival analysis) to study relocation behaviors, cycling infrastructure, and time-use patterns during crises like the COVID-19 pandemic. She has also contributed to interdisciplinary topics, including AI-driven healthcare analytics. Recipient of UNSW Women in Engineering Research Top-Up Scholarship Awarded Best research demonstration at TRANSW 2021 Maryam is supported by the Digital Grid Futures Institute Seed Funding (DGFI) 2024 and is affiliated with the CFRC, a leader in urban futures research. Her expertise spans transport modeling, behavioral economics, and data science, with a growing focus on health-related applications.

Diana Romanمشاهده پروفایل

مدرس ارشد

• Stochastic Programming
• Decision Making under Uncertainty
• Financial Optimisation
• +۳ مورد دیگر

Dr Diana Roman is a Senior Lecturer in the Department of Mathematics at Brunel University London, within the College of Engineering, Design and Physical Sciences. She teaches undergraduate modules including MA2668 Elements of Investment Mathematics and MA2786 Operations Research, leads level two modules, supervises final year projects, and serves on the departmental admissions team. Her research focuses on decision making under uncertainty and risk through stochastic optimisation, with key applications in financial portfolio optimisation. Specific research areas include risk modelling and minimisation, modelling randomness in asset prices, hedging against downside risk and extreme loss, and cash flow matching of asset values and liabilities. She applies advanced computational techniques to solve complex financial problems involving uncertain parameters. Dr Roman's publication record (2023-2010) reveals sustained contributions to portfolio optimisation using second-order stochastic dominance, asset-liability management models, and scenario generation methodologies. Her recent work integrates alternative data sources like micro-blogs with traditional financial metrics, demonstrating evolving research trends toward practical applications of theoretical stochastic programming. She has supervised PhD students Siti Sheik Hussin (awarded 2012), Maram Alwohaibi, and MPhil student Mohd Maasar, and regularly mentors undergraduate project groups. Her academic leadership includes coordinating level one project groups and serving on departmental admissions committees. Dr Roman is affiliated with the CARISMA research group at Brunel University, collaborating with researchers including Prof Paresh Date and Dr Nicola Spagnolo on financial optimisation problems.

• Applied Mathematics
• Computational Mathematics
• Numerical Analysis
• +۵ مورد دیگر

Bishnu Lamichhane is an Associate Professor at the University of Newcastle, Australia, within the School of Mathematics and the College of Engineering, Science and Environment. His research focuses on applied and computational mathematics, with interdisciplinary collaborations in engineering, statistics, physics, and environmental science. He holds a PhD in applied mathematics from the University of Stuttgart (Germany) and has a strong track record in cross-disciplinary projects, including coal blending models for BHP and neutron strain tomography for engineers. Education: M.Sc. (Industrial Mathematics) from University of Kaiserslautern (Germany), PhD from University of Stuttgart (Germany). He has taught at all levels, including AMSI Honours courses in 2011, 2014, and 2020. He has supervised 12 completed PhD students and currently supervises 8 more. Research Interests: Numerical methods for PDEs, finite element methods, data science, optimisation, and tomography. Collaborations span institutions in Australia, Germany, UK, USA, and India. He has held leadership roles in the Computational Mathematics Group (CMG), served on the AMSI Board, and organized major conferences like CTAC 2018. His work has been supported by grants from BHP, ACARP, and international bodies. Key Achievements: Gold Medal (Tribhuvan University), DAAD Scholarship, Honorary Professorship at IIT Bombay. His research has led to advancements in coke microstructure analysis, locust foraging models, and ice shelf dynamics under ocean waves.

• Computational Optimisation
• Control Theory
• Applied Mathematics
• +۷ مورد دیگر

Dr. Dante Kalise is a Reader in Computational Optimisation and Control in the Department of Mathematics at Imperial College London, where he also serves as the MSc Course Director for Applied Mathematics. Previously, he held roles including Assistant Professor at the University of Nottingham (2019–2021), Imperial College Research Fellow (2017–2019), Research Scientist at RICAM Linz (2013–2017), and Postdoctoral Researcher at Sapienza University of Rome (2011–2013). He earned his B.Sc. and M.Sc. in Mathematical and Electronic Engineering from the Federico Santa María Technical University in Chile, followed by a Ph.D. in Mathematics from the University of Bergen (Norway, 2012). His research focuses on computational methods for optimisation and control, including nonlinear PDEs, high-dimensional approximation, and agent-based models. Key areas include scientific machine learning, epidemiological modeling, and fluid dynamics control. He leads initiatives such as the EPSRC Centre for Doctoral Training in Collaborative Computational Modelling and a new MSc stream in Scientific Computing & Machine Learning. He actively organises workshops and conferences, including sessions on Conservation Science and Control Theory applications. Editorial duties include roles as Associate Editor for Mathematics of Control, Signals, and Systems and Advances in Continuous and Discrete Models . Recent recognitions include contributions to optimised lockdown strategies and flight emissions reduction, featured in PLOS and Science Magazine . His academic supervision has produced impactful work, such as Cathie Wells' award-winning PhD project on flight emissions optimisation. He is committed to interdisciplinary research, often collaborating with engineering and environmental science teams to address complex systems challenges.

Ian Morrisمشاهده پروفایل

استاد

• Ergodic Theory
• Fractal Geometry
• Matrix Analysis
• +۳ مورد دیگر

Dr. Ian Morris is a Reader in Mathematics at Queen Mary University of London and Deputy Director of Postgraduate Research Studies. Previously, he held positions at the University of Surrey (2012–2020) and postdoctoral roles at institutions including the University of Rome Tor Vergata and the University of Warwick. His research focuses on ergodic theory, with applications to fractal geometry, matrix analysis, and dynamical systems. Education: PhD in Mathematics, University of Manchester (2006), supervised by Dr. Charles Walkden. Bachelor’s degree in Mathematics, University of Warwick. Research Interests: Morris specializes in ergodic theory and its applications to fractal geometry, joint spectral characteristics of matrices, and dynamical systems. His work includes studies on self-affine fractals, Lyapunov exponents, and thermodynamic formalism for linear cocycles. He has explored topics such as marginal instability in switched systems and the interplay between self-affine measures and fractal dimensions. Grants: Leverhulme Trust Research Project Grant (2024–2028): "An ergodic optimisation approach to stability of linear switched systems" (£189,097). Leverhulme Trust Grant (2017–2022): "Lower bounds for Lyapunov exponents" (£267,776). Advising and Collaborations: Morris supervised PhD student Jonah Varney (2018–2022) and postdoctoral researchers Natalia Jurga and Argyrios Christodoulou. His collaborations include work with Balázs Bárány, Antti Käenmäki, and Çağrı Sert on topics like self-affine measures and matrix equilibrium states. Labs/Teams: Morris is affiliated with the Centre for Complex Systems at Queen Mary University of London, focusing on interdisciplinary research in dynamical systems and fractal geometry.

• Process Systems Engineering
• Mathematical Optimisation
• Sustainable Energy Systems
• +۱۰ مورد دیگر

Dr Michael Short is an Associate Professor of Process Systems Engineering at the University of Surrey , affiliated with the School of Chemistry and Chemical Engineering and the Surrey Institute for Sustainability . His research focuses on mathematical optimisation tools for sustainable process design, bioenergy systems, renewable energy integration, and pandemic risk modelling. Current projects include AI-driven biogas production optimisation and carbon-negative chemical synthesis. EPSRC-funded £1.7M project on AI for biogas production Co-I in £5M Supergen Bioenergy Impact Hub Developed open-source DECO2 software for ASEAN decarbonisation His team applies mixed-integer nonlinear programming (MINLP) and machine learning to industrial challenges in pharmaceuticals, aquaculture, and microbreweries. Collaborations span Eli Lilly, Pfizer, and universities in Japan, Malaysia, and Brazil. Supervised projects address grid-scale energy storage, CO2 utilisation, and rural electrification. Scientific Awards : 2021 EPSRC Impact Acceleration Account Commercialisation Fellow Best Speaker Award at 2020 Sustainable Process Integration Lab Conference Editorial Board Member of Journal of Water Process Engineering Recent publications examine direct air capture integration, waste-to-energy brewing processes, and whole-system energy models. Supervises students in distributed energy systems, catalytic processes, and sustainable design.

Maurizio Tomasellaمشاهده پروفایل

استاد

• Airport Operations
• Manufacturing and Supply Chain Operations
• AutoID Technologies
• +۱۲ مورد دیگر

Maurizio Tomasella is a Reader in Management Science at the University of Edinburgh Business School and a Chancellor's Fellow . He previously served as a Research Associate at the AutoID Lab and Distributed Information and Automation Lab at Cambridge University Engineering Department, and as a Research Fellow at Politecnico di Milano. Doctor of Philosophy (PhD) in Manufacturing Technology and Systems, Politecnico di Milano (2009) Master of Science in Industrial Engineering/Manufacturing Technology and Systems, Politecnico di Milano (2004) His research focuses on Airport Operations , Organisational Resilience , Simulation-Optimisation , and Constraint Programming , with applications in Supply Chain Management and AutoID Technologies . Recent publications explore simheuristics for workforce planning and dynamic operational policies in airport systems, leveraging Discrete Event Simulation and Stochastic Modeling . Scientific Awards Best Contributed Applied Paper (2024) As a principal investigator, he has led projects such as EPSRC IAA PV014 (2022–2023) on airport operational resilience and Modelling Edinburgh Airport's Baggage Overhaul System (2015–2016). He actively supervises PhD students and collaborates with institutions like the Institute for Operations Research and the Management Sciences (INFORMS).

• High-performance Computing
• Parallel Algorithms
• Scientific Computing
• +۳ مورد دیگر

Professor Tobias Weinzierl holds the position of Professor in the Department of Computer Science at Durham University. He is the Co-director of the Institute for Data Science (IDAS) and leads the Scientific Computing research group. His expertise includes high-performance computing, parallel algorithms, and scientific computing, with a focus on numerical methods and adaptive mesh refinement techniques. Research interests encompass high-performance computing architectures, parallel algorithm design, and the development of scalable numerical solvers for hyperbolic partial differential equations (PDEs). He has contributed to projects like ExaHyPE, an engine for exascale simulations of wave phenomena, and has authored influential books such as *Principles of Parallel Scientific Computing* and *A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids*. He has held roles including inaugural director of the Master in Scientific Computing and Data Analysis (MISCADA) and has reviewed for the European High Performance Computing Joint Undertaking (EuroHPC JU). His work emphasizes resilience in numerical software, compiler optimizations, and energy-efficient computing. Key contributions include the Peano software framework for adaptive grid traversals, and research on task-based parallelism, GPU offloading, and fault tolerance in HPC systems. Current research focuses on exascale computing, multiscale optimisation, and the application of parallel computing to astrophysics and fluid dynamics. Labs/Teams: Scientific Computing research group, ExaHyPE project team Grants/Projects: PI/Co-I on ExCALIBUR projects, H&ES installations

Norman A Fleckمشاهده پروفایل

استاد

• Mechanics of Materials
• Micromechanics of Deformation and Fracture
• Fatigue, Fracture and Creep of Engineering Solids
• +۵ مورد دیگر

Professor Norman A Fleck is Professor of Mechanics and Materials and founding Director of the Cambridge Centre for Micromechanics at the University of Cambridge Department of Engineering . A world-leading authority in the mechanics of materials, he has held visiting appointments at Harvard and NASA Langley and has been continuously on the Cambridge faculty since 1985. Education 1976–1979 Jesus College, Cambridge — BA Engineering (First Class with Distinction; Baker Prize, IMechE Project Prize, Keller Prize) 1980–1983 Pembroke College, Cambridge — PhD Engineering (Research Fellowship 1981–1984) Research Interests Professor Fleck’s research centres on the micro-mechanics of material behaviour , linking microstructural evolution to macroscopic performance. Key themes include: fatigue, fracture and creep of engineering solids; strain-gradient plasticity and size effects; cellular and lattice materials, metallic foams and sandwich structures; ferroelectric switching and multi-functional materials. Scientific Awards & Distinctions Fellow of the Royal Society (FRS, 2004) Fellow of the Royal Academy of Engineering (FREng, 2008) Foreign Member, US National Academy of Engineering (2014) Humboldt Research Award (2011) ASME Koiter Medal (2013) EUROMECH Solid Mechanics Prize (2015) AA Griffith Medal (2014) Member of Academia Europaea, European Academy of Sciences ISI Highly Cited Researcher in Engineering (2001) Leadership & Service He founded and directs the Cambridge Centre for Micromechanics , chairs the Rolls-Royce Scientific Advisory Board for Materials, Manufacturing & Structures, and has served on the Royal Society’s Awards, Research Grants and Industry Fellowship panels. He has organised numerous international conferences and sits on the editorial boards of Journal of the Mechanics and Physics of Solids , International Journal of Solids and Structures , and several other leading journals.