Find Academic Supervisors

• High-performance Computing
• Parallel Algorithms
• Scientific Computing
• +3 more

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 FleckView profile

Professor

• Mechanics of Materials
• Micromechanics of Deformation and Fracture
• Fatigue, Fracture and Creep of Engineering Solids
• +5 more

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.

Sefer Anil GunbeyazView profile

Senior Lecturer

• Circular Economy
• Maritime Sustainability
• Ship Recycling
• +5 more

Dr. Sefer Anil Gunbeyaz is a Senior Lecturer at the University of Strathclyde's Department of Naval Architecture, Ocean and Marine Engineering. He holds a BSc and MSc from Istanbul Technical University and a PhD from Strathclyde, specialising in circular economy applications within the maritime domain. BSc & MSc: Istanbul Technical University PhD: University of Strathclyde (2019) His research focuses on: Decarbonisation of shipyards, ports, and recycling facilities Design and optimisation of production in ship recycling yards Risk-based design for sustainable maritime assets Application of circular economy principles Recent publications highlight advancements in discrete event simulation for facility optimisation and stakeholder-driven circularity metrics. His work aligns with UN Sustainable Development Goals (SDGs) addressing environmental protection and sustainable practices. Scientific awards: Highly commended award for sustainable society (Image of Research Competition 2020) He contributes to externally funded projects like ILO Skills for Prosperity, IMO SENSREC, and BoatDIGEST, while developing CPD and training programs for maritime stakeholders.

• Geotechnical Engineering
• Energy Geotechnics
• Nuclear Waste Disposal
• +5 more

Anne-Catherine A.M. Dieudonné, holding the title Dr.ir., is a faculty researcher at the Faculty of Civil Engineering and Geosciences, Delft University of Technology , within the Section of Geo-Engineering . Her work bridges fundamental geomechanics with pressing energy and environmental challenges, focusing on clays, bentonites, bio-cemented sands, geothermal systems, nuclear waste disposal, and CO₂ geological storage. Education & Training: Doctor of Engineering (Dr.ir.) – advanced doctoral degree in civil engineering/geosciences, exact institution and dates not stated in the source. Research Interests: Anne-Catherine’s research is organised around four pillars: Energy Geotechnics: thermo-hydro-mechanical (THM) modelling of geothermal systems in deep mines, cold-water injection-induced fracturing, optimisation under uncertainty. Environmental Geotechnics: long-term performance of clay barriers for nuclear waste repositories, gas and fluid transport in saturated clays, self-healing of rock-salt fractures. Bio-mediated Ground Improvement: micro-scale mechanics of bio-cemented sands, influence of carbonate distribution on stiffness and strength, DEM and experimental characterisation. Advanced Experimental & Numerical Techniques: development of novel visualisation devices for fluid-driven cracks, constitutive modelling of expansive clays, zero-thickness interface elements for fracture simulation. Publication Trends: Since 2020 she has authored or co-authored more than 25 peer-reviewed articles and conference contributions. The 2025 corpus shows a strong emphasis on geothermal reservoir engineering , bio-cemented geomaterials , and deep geological disposal , with methodological advances in coupled THM modelling, discrete-element simulation, and experimental validation. Scientific Awards & Honours: ABTUS Scientific Prize – Belgian Association for Underground Techniques and Urbanism (2012) C.B.R. Heidelberg Prize (2011) Bright Spark Lecture Award (2025) Ioannis Vardoulakis PhD Prize (2017) NWO Veni Grant (2019) Supervision & Grants: Anne-Catherine has supervised at least one doctoral student, A. Zhang , on bio-cemented sands. She is principal investigator on the NWO Veni project focusing on clay fracture mechanics and participates in the European EURAD consortium for radioactive waste management research. Laboratory & Teams: She is affiliated with the Geo-Engineering Section laboratories at TU Delft, which host advanced triaxial, oedometer, and bespoke visualisation rigs for clay and sand testing. Collaborative networks span TU Delft, KU Leuven, University of Liège, and multiple European institutions within EURAD.

Guanglu ZhouView profile

Associate Professor

• Numerical Optimization
• Computational Methods
• Complementarity Problems
• +3 more

Guanglu Zhou is an Associate Professor at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences, within the Centre for Optimisation and Decision Science. He holds a PhD from the University of New South Wales (2000) and has held academic roles at institutions including the National University of Singapore and the University of Birmingham. His research focuses on numerical optimization, computational methods, tensor computation, and industrial applications. Education : BSc, Shandong Normal University (1988) MSc, Qufu Normal University (1992) PhD, University of New South Wales (2000) Research Interests : Numerical Optimization and Computational Methods Tensor Analysis and Applications Complementarity Problems and Mathematical Programming Industrial Problem Solving Key Achievements : Recipient of the ARC Queen Elizabeth II Fellowship (2006-2010) Principal Investigator on ARC Discovery Grants focusing on optimization and computational methods Teaching : Courses in Mathematics, Computational Mathematics, Optimization, and Logistics Modeling. Grants : Led ARC projects on robust optimization methods (2006-2010) and cone optimization applications (2011-2013).

Anatoly ZhigljavskyView profile

Professor

• Time Series Analysis
• Multivariate Statistical Analysis
• Statistical Modelling in Market Research
• +6 more

Professor Anatoly Zhigljavsky serves as Chair in Statistics and Honorary Professor at Cardiff University's School of Mathematics. He holds multiple administrative positions including membership in the Senior Management Committee, School Research Committee, School Management Board, School Learning and Teaching Committee, Board of Studies, and Subject panel. University: Cardiff University School: School of Mathematics Position: Chair in Statistics, Honorary Professor Professor Zhigljavsky earned his MSc from the University of St.Petersburg, Russia in 1976, followed by his PhD in 1981 and Habilitation in 1987, all from the same institution. His academic credentials reflect a strong foundation in mathematical statistics and theoretical probability. His research spans several interconnected domains in statistics and optimization. He is particularly renowned for his contributions to Time Series Analysis, where he has advanced Singular Spectrum Analysis (SSA) into a powerful technique for time series analysis, forecasting, and change-point detection. His work in Statistical Modelling in Market Research has resulted in numerous industry collaborations, while his research in Stochastic Global Optimization has provided theoretical insights into random search algorithms, especially in high-dimensional spaces. His investigations into Probabilistic Methods in Search and Number Theory have yielded novel approaches to discrete search problems including group testing with lies. Professor Zhigljavsky has also pioneered Dynamical system approaches for studying convergence of search algorithms, bridging continuous and discrete optimization methodologies. Analysis of Professor Zhigljavsky's recent publications (2021-2025) reveals an evolving research trajectory with increasing focus on high-dimensional statistical challenges, quantization theory, and the intersection of optimization with time series analysis. His work consistently demonstrates mathematical rigor combined with practical relevance, addressing computational challenges in large-scale data analysis. His collaborations span multiple institutions with researchers including Luc Pronzato, Jack Noonan, and Anatoly Pepelyshev. Scientific recognition includes: Constantin Caratheodory Prize in France (2019) Professor Zhigljavsky has secured substantial external funding including projects with Procter and Gamble on statistical modelling in Market Research (totaling approximately £200,000), projects with AcNielsen/BASES on consumer behaviour modeling (£40,000), and projects with GlaxoSmithKline on biopharmaceutical studies (£15,000) and environmental science (£10,000). His research has consistently demonstrated practical applications across multiple industries. As an active member of Cardiff University's Statistics research group, Centre for Optimisation and Its Applications, and Statistical Modelling Unit, Professor Zhigljavsky continues to influence both theoretical developments and practical applications in statistics and optimization.

Micah NehringView profile

Senior Lecturer

• Mine Planning
• Production Scheduling Optimisation
• Optimal Ultimate Pit Limit (UPL) determination
• +4 more

Micah Nehring is a Senior Lecturer at the School of Mechanical and Mining Engineering , The University of Queensland . He leads the High Performance Surface Mining Research Group , focusing on optimizing In-Pit-Crusher-Conveyor (IPCC) systems and advancing mine planning methodologies. His work bridges mathematical programming with practical mining challenges, particularly in ultimate pit limit determination and production scheduling . Research interests include: Mine Planning Production Scheduling Optimization IPCC Systems Integration Cut-off Grade Methodologies ESG Risk Incorporation Recent publications highlight trends in machine learning applications for coal mine roof characterization, electrification of surface mining fleets, and multi-objective optimization for sustainable underground operations. His work often combines mixed integer programming with discrete event simulation to address complex mining scenarios. Advising spans projects like: Forecasting Market Capitalisation via Neural Networks Battery Trolley Haulage Systems Hydro-Economic Modeling for Water Management Funding collaborations include Anglo American , NewCrest Mining , and Caterpillar Global Mining , with grants focused on carbon tax impacts , roof displacement prediction , and rock characteristics research.

• Mining Engineering
• Geomechanics
• Structural Geology
• +3 more

Denisha Sewnun is a Research Fellow at the School of Engineering, The University of Western Australia, affiliated with the Australian Centre for Geomechanics. Her work focuses on geomechanical challenges in mining engineering, particularly discrete fracture networks and ground support systems. Research Interests Discrete Fracture Network Generation Risk Assessment in Underground Mining Rock Mass Characterization Geological Structural Analysis Recent Research Focus : Denisha's publications examine structural data collection methodologies for fracture network modeling (2022) and risk-based approaches to ground support design (2020), emphasizing field data integration and rock mass behavior analysis. Projects : Actively contributes to the ACG Ground Support Systems Optimisation Phase 3 project (2022–2026), funded by Gold Fields Australia Pty Limited.

• Artificial Intelligence
• Machine Learning
• Optimisation
• +13 more

Dr. Asef Nazari is a Senior Lecturer in Mathematics at Deakin University's School of Information Technology, Faculty of Science Engineering and Built Environment. With over two decades of experience, his work spans mathematical modeling, optimization, and AI applications in energy systems, supply chains, and cybersecurity. Education : PhD (University of Ballarat), MSc (Amirkabir University of Technology), BSc (University of Tabriz), Graduate Certificate in Higher Education Teaching (Deakin University) Research : Focuses on Electricity network planning with renewables Optimization techniques (non-smooth, integer programming) AI/ML for cryptocurrency markets and causal inference Community battery systems for EV charging Soft happy coloring in network analysis Supply chain and project scheduling optimization Grants : Leads industry collaborations like the REACH Scholarship (2025–2028) and has secured funding from Monash University/ClimateWorks and The Ian Potter Foundation. Teaching : Developed the 'Mathematics for AI' master's unit, emphasizing real-world problem-solving in optimization, operations research, and data analysis. Supervision : Currently guides 8 PhD students in topics like AI-driven authentication security and land-use modeling. Awards : Recognized as a Fellow of the Higher Education Academy (FHEA)

Seyed Mojtaba SajadiView profile

Lecturer

• Simulation-Based Optimisation
• Applied Operation Research
• Artificial Intelligence and Meta-heuristic Algorithms
• +4 more

Dr. Seyed Mojtaba Sajadi is an Assistant Professor (Lecturer) in Operations and Supply Chain Simulation at Aston Business School, part of Aston University's College of Business and Social Sciences. He holds a PhD in Industrial Engineering from Amirkabir University of Technology and has extensive academic experience, including roles as Associate Professor and Assistant Professor at the University of Tehran (2010–2020), and Assistant Professor at Coventry Business School (2021–2022). His research focuses on simulation-based optimization in supply chain management, healthcare systems, and disaster management, leveraging techniques like Discrete Event Simulation (DES), Agent-Based Simulation (ABS), and metaheuristic algorithms. Education: PhD in Industrial Engineering, Amirkabir University of Technology MSc in Industrial Engineering, University of Tehran BSc in Industrial Engineering, Sharif University of Technology PGCert in Higher Education, Coventry University Research Interests: Simulation-Based Optimization Applied Operations Research Machine Learning Supply Chain and Production Optimization Healthcare and Disaster Management Editorial Roles: Associate Editor, Journal of Simulation (2023–Present) Editorial Advisory Board, Journal of Enterprise Information Management (2024–Present) Advising and Grants: Supervised over 20 PhD candidates, including current projects on disaster-resilient smart cities and Industry 4.0 in food sustainability. Active in securing funded research projects, such as an Aston PhD Studentship and a Saudi Government-funded initiative. Labs/Teams: Engaged in collaborative research across international institutions, including the Operational Research Society Simulation Workshop (SW25, 2025) and interdisciplinary projects in healthcare logistics and smart supply chains.

Santiago Barrera AcevedoView profile

Lecturer

• Algebraic Design Theory
• Combinatorics
• Cryptography
• +4 more

Dr. Santiago Barrera Acevedo is a Lecturer in Pure Mathematics at La Trobe University's Department of Mathematical and Physical Sciences, where he conducts teaching and research. He joined La Trobe in 2024 following seven years at Monash University as a postdoctoral research fellow and lecturer. His academic background includes a Ph.D. from Monash University and an M.Sc. from Universidad de Los Andes in Bogotá, Colombia. His research specializes in algebraic design theory , integrating algebra and combinatorics to solve complex problems in cryptography and coding theory. Key focus areas include: Construction and classification of combinatorial designs (Hadamard matrices, relative difference sets) Applications of group theory, cohomology, and representation theory Development of quaternionic structures for cryptographic applications Analysis of perfect sequences and their automorphism groups His publication portfolio shows dual specialization: recent works emphasize combinatorial mathematics and algebraic structures, while earlier contributions advanced computational chemistry methods for ionic liquids and intermolecular interactions. Awards and Honors: Australia Academy of Science Theo Murphy Mobility Award (2023-2024) Monash Faculty of Science Early Career Researcher Grant (2023) Australian Mathematical Society Kovalevskaya Travel Award (2022) Colombian Francisco Jose de Caldas PhD Scholarship (2010) He has co-supervised 18 HDR, Honours, and research project students, and actively seeks graduate candidates for algebraic design and theoretical cryptography research. Current teaching includes coordinating 'Complexity, Cryptography and Compression' and 'Optimisation' courses for Data Science and Quantum IT programs.

• Revenue Management and Pricing
• Reinforcement Learning
• Operations Research
• +5 more

Prof. Dong Li is a Professor of Operational Research at Lancaster University Management School (LUMS). He previously held academic roles at Loughborough Business School and the University of York, alongside industry experience at Avis Budget Group and Intel Corp. His research focuses on Revenue Management, Reinforcement Learning, and Resource Allocation, with methodological expertise in Markov Decision Processes and Stochastic Programming. Education: BEng/MEng in Mechanical Engineering (Xi’an Jiaotong University), MEng in Industrial Engineering (National University of Singapore), and PhD in Management Science (Lancaster University). Research Interests include: Revenue Management & Dynamic Pricing in Sharing Economies Discrete Choice Modelling Healthcare Operations Management Reinforcement Learning and Approximate Dynamic Programming He leads the STOR-i Doctoral Training Centre and serves as Associate Editor of Computational Management Science . Notable grants include a UKRI/EPSRC-funded project on medical resource rationing during public health emergencies (2020–2022). External Roles: External examiner at Strathclyde University (2020–present) and Xi’an Jiaotong Liverpool University (2020–2024). Research Groups: Centre for Transport & Logistics (CENTRAL), Health Systems Optimisation, and STOR-i.

Terry IrelandView profile

Research Fellow

• Luminescent Materials
• Photonic Band Gap Materials
• Nanofabrication
• +4 more

Dr Terry Ireland serves as an Honorary Researcher in the Department of Chemical Engineering within Brunel University London's College of Engineering, Design and Physical Sciences. His academic foundation includes a BSc in Chemistry from the University of Essex (1996), followed by an MSc (1999) and PhD (2008) from the University of Greenwich under Professor Jack Silver's supervision, focusing on rare earth element doped phosphor materials. BSc Chemistry, University of Essex (1996) MSc (Precipitation techniques and characterisation of rare earth element doped phosphor materials), University of Greenwich (1999) PhD (Precipitation techniques and characterisation of rare earth element doped phosphor materials), University of Greenwich (2008) His research spans luminescent materials synthesis , photonic band gap structures , and bio-replication techniques using Lepidoptera templates. Current investigations include nanofabrication of phosphor materials and dye-sensitised solar cells, with emphasis on structural colour engineering inspired by natural systems. His work bridges fundamental materials science with practical display and lighting technologies. Analysis of his 66+ publications reveals consistent focus on phosphor characterisation (particularly rare earth doped oxides), nanoparticle fabrication techniques, and bio-inspired photonic structures . Key collaborations with Silver, Withnall, and Fern demonstrate interdisciplinary approaches spanning chemical engineering, optics, and biomimetics. Recent work shows increasing emphasis on sustainable materials processing and applications in next-generation displays. Dr Ireland has contributed to numerous conference proceedings and peer-reviewed journals including Journal of Luminescence , Optics & Laser Technology , and Nanotechnology , with his 2011 paper Achieving structured colour in inorganic systems representing a significant synthesis of biomimetic principles in photonic materials design. As a Research Fellow since 2006, he has developed expertise in phosphor synthesis techniques, characterisation methodologies including Raman spectroscopy, and applications in electroluminescent displays. His work with micellar templating and sacrificial phases demonstrates innovative approaches to nanoparticle morphology control, while collaborations on bio-replicated structures highlight cross-disciplinary integration of natural design principles. His laboratory work involves advanced materials characterisation facilities and nanofabrication techniques, particularly focused on solution-based synthesis routes for phosphor materials. Current projects continue to explore the intersection of natural photonic structures and engineered luminescent systems, maintaining strong industry relevance through display technology applications.

Justin WardView profile

Senior Lecturer

• Theoretical Computer Science
• Combinatorial Optimization
• Approximation Algorithms
• +3 more

Justin Ward is a Senior Lecturer in Optimisation at Queen Mary University of London's School of Mathematical Sciences and serves as Lead for Research Innovation and External Stakeholders Engagement at the Centre for Combinatorics, Algebra and Number Theory. He holds a PhD in Computer Science from the University of Toronto. His research focuses on theoretical computer science, particularly approximation algorithms and combinatorial optimization, with an emphasis on submodular functions and models like local search and greedy algorithms. Education: PhD in Computer Science (University of Toronto, 2012). Previous roles include Research Fellow at the University of Warwick (2012-2015) and Research Scientist at EPFL (2015-2017). Research interests include algorithm design for discrete optimization problems, submodular maximization, and distributed computing. His work has led to significant contributions in approximation algorithms for k-means clustering and matroid-constrained optimization. Grants: EPSRC New Investigator Award (2019-2022). Teaching: Modules include Programming for Business Analytics and Linear Programming and Games. Service: Program committees for ICALP, APPROX, WADS, and ESA. Organized Highlights of Algorithms (HALG 2022) and Joint Two-Day Colloquiia in Combinatorics. Justin’s work bridges theoretical foundations and practical algorithmic challenges, with applications in machine learning and distributed systems. His research emphasizes provable guarantees for computationally hard optimization problems.

Bugra AlkanView profile

Senior Lecturer

• Smart Manufacturing Systems
• Collaborative Robotics
• Industrial Artificial Intelligence
• +7 more

Dr Bugra Alkan is a Senior Lecturer in Artificial Intelligence and Robotics at the School of Computer Science and Digital Technologies , London South Bank University . With a PhD in Engineering from University of Warwick (2019), he has held postdoctoral positions at University of Bristol and University of Warwick . Academic Rank: Senior Lecturer Institutional Roles: Module Leader for Industrial Cyber-Physical Systems, Artificial Intelligence, Systems Cybersecurity Editorial Roles: Associate Editor for Industrial Robot and Heliyon , Editorial Board Member for MDPI Sensors and Frontier of Industrial Engineering Research focuses on smart manufacturing , collaborative robotics , and industrial AI with emphasis on cyber-physical production systems , digital twins , and Industry 5.0 . Key projects include: Data-driven Configuration Optimisation of CPPS AI-Enabled Digital Life-cycle Management Deep Learning-based Inline Quality Inspection Human-centric Collaborative Assembly 5.0 Scientific contributions include: Best Paper Awards at CIRP CATS 2016 and IATS’13 Over 40 peer-reviewed publications with h-index 16 Editorial leadership in Q1/Q2 journals Teaching responsibilities span artificial intelligence , cyber-physical systems , and statistical modeling at both undergraduate and postgraduate levels. Current research involves EU-funded TWIN-IT-ROMANS project (€1.76M) addressing robotics manufacturing systems.