Find Academic Supervisors

• Data Privacy
• Cyber Security
• Cloud Security
• +5 more

Professor Xun Yi is a faculty member at RMIT University's School of Computing Technologies, specializing in cybersecurity, data privacy, and distributed computing. His research focuses on privacy-preserving technologies in cloud systems, blockchain applications, federated learning, and secure communication protocols. He has published over 150 papers in top-tier journals and conferences, including IEEE Transactions on Dependable and Secure Computing. Since 2014, he has served as an Associate Editor for the IEEE Transactions on Dependable and Secure Computing, and has organized major events like the Australasian Information Security Conference (AISC) in 2015 and 2016. Professor Yi actively supervises PhD and Master's research projects, focusing on topics like secure IoT systems, privacy-aware machine learning, and blockchain-enabled frameworks. His work emphasizes practical solutions for real-world challenges in data security and privacy. Research Interests: Data Privacy, Cyber Security, Cloud Security, Wireless/Mobile Security, Applied Cryptography Blockchain-based Systems, Federated Learning, Privacy-Preserving AI Recent Contributions: Developed frameworks for secure data aggregation in smart grids and healthcare systems Advanced techniques for privacy-preserving federated learning and graph neural networks Contributed to standards for secure authentication in vehicular networks (VANETs) Supervision: Open to mentoring students in cybersecurity, privacy-enhancing technologies, and IoT security.

Selin AhipasaogluView profile

Professor

• Operational Research
• Convex Optimization
• Robust Optimization
• +5 more

Prof. Selin Damla Ahipasaoglu is a Professor in Operational Research at the University of Southampton's School of Mathematical Sciences . She serves on the management team of the UKRI CDT SustAI (Artificial Intelligence for Sustainability) as Senior Tutor and Co-Lead for the Transportation and Logistics Theme . Her work bridges mathematical optimization with practical applications in sustainability, finance, and transportation systems. Research Interests : Convex Optimization Robust Optimization Discrete Choice Theory Experimental Design Machine Learning Current Research : Focused on robust optimization and its applications in discrete choice modeling, portfolio optimization, and transportation systems. She explores theoretical frameworks alongside real-world implementations, particularly through interdisciplinary projects like the UKRI CDT SustAI. Teaching : In the 2025/2026 academic year, she teaches MATH3017: Mathematical Programming and MATH2013: Operational Research II . She supervises PhD students in Mathematical Sciences, including Kexin Lai, Samuel Jericho Ward, and others.

• Mathematical Optimization
• Game Theory
• Mechanism Design
• +7 more

Max Klimm is an Assistant Professor for Discrete Optimization at Technische Universität Berlin, affiliated with Faculty II – Mathematics and Natural Sciences and the Department of Mathematics. He leads the research group in Discrete Optimization and holds editorial roles at journals like the International Journal of Game Theory and Operations Research Forum . His academic journey includes a PhD in Mathematics from TU Berlin (2012), followed by roles as an Assistant Professor at Humboldt-Universität zu Berlin and Head of the Junior Research Group at the Einstein-Center for Mathematics. His research focuses on mathematical optimization, game theory, and mechanism design applied to multi-agent systems in traffic, telecommunications, and economics. Recent work addresses equilibrium computation in congestion games, stochastic optimization, and algorithmic challenges in network design. Key projects include Combinatorial Network Flow Methods for Gas Markets and the Math+ projects on mechanism design and evolutionary models for networks. Teaching responsibilities include courses on Discrete Optimization, Algorithmic Game Theory, and introductory mathematical courses. His research has been funded by DFG, Einstein Center, and Math+ initiatives. Notable contributions include advancements in parametric flow algorithms, impartial selection mechanisms, and reconstructing historical road networks using cost-benefit models.

Colin BealeView profile

Professor

• Spatial ecology
• Conservation science
• African savannah ecosystems
• +3 more

Professor Colin Beale is a Professor in the Department of Biology at the University of York, leading the York Environmental Sustainability Inst (YESI) Research Theme. His work focuses on spatial ecology and conservation science, particularly in African savannahs and UK ecosystems. He combines field research with statistical methods to study species distributions, climate impacts, and fire ecology. Collaborations include organizations like the Wildlife Conservation Society and Uganda Wildlife Authority. Teaching emphasizes fieldwork and computational skills, including annual tropical ecology expeditions to Tanzania. Current research projects address biodiversity finance, savannah degradation, and illegal wildlife activity reduction. Funded grants include projects on treescapes and rangeland guardianship. Past and present students include Hien Luong, Charlie Le Marquand, and Joris Wiethase. Key projects involve mapping illegal activities in protected areas, analyzing fire regimes, and understanding climate-driven range shifts. His lab includes postdoctoral researchers like Dr Rob Critchlow and Dr Tabitha Kabora. Ongoing work integrates ecological and cultural histories to guide sustainable land use.

Zhiqiang LinView profile

Associate Professor

• Software Security
• Cloud Computing and Virtualization
• Memory Data Analysis
• +3 more

Dr. Zhiqiang Lin is an Associate Professor in the Computer Science Department at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a PhD in Computer Science from Purdue University (2011). His research focuses on software security, cloud computing security, and memory data analysis, with applications in vulnerability discovery, malware analysis, and virtualization security. He has received prestigious awards including the NSF CAREER Award and Air Force YIP Award. Education: PhD in Computer Science, Purdue University, 2011 Research Interests: Software Security: Binary code analysis, kernel malware detection, and vulnerability discovery. Cloud Computing: Virtual machine introspection, cloud security mechanisms, and data protection in distributed systems. Memory Analysis: Data structure identification in memory/disk, forensic recovery, and semantic data extraction. Teaching: CS 4393: Computer and Network Security (Spring 2013) CS 6324: Information Security (Fall 2012) CS 6V81: Systems Security/Binary Code Analysis (Spring 2012) CS 6V81: Advanced Digital Forensics (Fall 2011) Grants & Projects: Lead researcher on DARPA-funded project to transition legacy system data to secure platforms (collaboration with Purdue University). Developed "space travel" technique for cross-VM monitoring, enhancing cloud security. Air Force-funded framework to protect computer cores from advanced threats. Service & Leadership: NSF proposal review panel member (2012+) Publication Chair for IEEE IPCCC (2012) TPC member for ICDCS, AsiaCCS, CCGrid, and other conferences.

• Risk Analysis
• Structural Reliability
• Civil Engineering
• +5 more

Prof. Michael Beer is the Executive Director of the Institute for Risk and Reliability at Leibniz University Hannover. He holds a professorship in the Faculty of Civil Engineering and Geodetic Science and serves on the Faculty Council. His research focuses on structural reliability, uncertainty quantification, and risk analysis with applications in civil engineering systems. He leads the Collaborative Research Centres (CRC) 871 and 1463, addressing regeneration of complex capital goods and offshore megastructure design, respectively. His work integrates machine learning, Bayesian methods, and stochastic modeling to address challenges in seismic vulnerability, geotechnical systems, and reliability-based design optimization. Beer is also a member of the Leibniz Research Centre Energy 2050, emphasizing interdisciplinary energy systems research. Beer's research interests span probabilistic modeling of dynamic systems, uncertainty propagation in engineering systems, and data-driven methods for reliability assessment. His recent publications emphasize computational methods for reliability, machine learning applications, and seismic risk analysis. He actively contributes to academic leadership roles, including editorial boards and research center management.

• Probability Theory
• Geometric Random Graphs
• Percolation Theory
• +3 more

Arne Grauer is a researcher in probability theory at the Department of Mathematics, University of Cologne. His work focuses on geometric random graphs, percolation, and stochastic processes in random environments. He completed his PhD in 2022 under Prof. Peter Mörters, exploring ultrasmallness and chemical distance in scale-free geometric random graphs. Education: PhD in Mathematics (2022, University of Cologne), Master’s in Mathematics (2017, University of Münster), Bachelor’s in Mathematics (2015, University of Münster). Research interests include understanding network structures and dynamics, particularly in scale-free and spatially embedded networks. His studies analyze ultrasmall graph distances, infection spread via contact processes, and preferential attachment models. Publications focus on mathematical physics and network science, with contributions to Communications in Mathematical Physics and Journal of Statistical Physics . He co-organized workshops on random geometric graphs and spatial networks.

• Thermodynamics
• Heat Transfer
• Fluid Mechanics
• +2 more

Dr. Abir Sakly is a researcher at the School of Engineering, University of Limerick, specializing in thermodynamics, heat transfer, and energy systems. His research focuses on entropy generation analysis in various thermal systems, examining combined convection and radiation phenomena. His primary research interests include entropy generation optimization, forced/natural convection systems, radiative heat transfer modeling, computational fluid dynamics applications in energy systems, and thermodynamic analysis of heat-mass transfer coupling. Dr. Sakly's publications consistently explore thermal transport phenomena through advanced computational methods, with recurring themes in entropy minimization strategies, geometric optimization for thermal systems, and experimental validation of heat-mass transfer models under various boundary conditions.

Martin SchroderView profile

Professor

• Materials chemistry
• Porosity
• Gas adsorption and selectivity
• +5 more

Professor Martin Schroder is a leading materials chemist currently serving as Vice President and Dean of the Faculty of Science and Engineering at the University of Manchester. He previously held executive and academic roles at the University of Nottingham (1995-2015) and the University of Edinburgh (1982-1995), culminating in his appointment as Professor of Chemistry at Manchester (2015-present). His career spans over four decades with significant contributions to porous metal-organic frameworks (MOFs) for energy and environmental applications. PhD in Chemistry from Imperial College London (1978) BSc in Chemistry from the University of Sheffield (1975) Professor Schroder's research focuses on materials chemistry , particularly metal-organic frameworks (MOFs) for gas separation and capture. His work addresses CO2 reduction , toxic gas removal , and proton conductivity through innovative framework design and functionalization. Recent publications highlight MOF applications for hydrogen storage , SO2 capture , and NO2 conversion . His 15 most recent publications (2016-2020) demonstrate sustained expertise in porous materials engineering , showing consistent focus on gas adsorption mechanisms , supramolecular interactions , and environmental remediation through MOF technology. Key trends include CO2 selectivity , dynamic framework behavior , and electrochemical sensor development . Awarded numerous honors including: Royal Society of Chemistry Nyholm Prize (2020) Tilden Lectureship & Medal (2001/02) Multiple RSC awards (2003, 2008) Honorary Doctorates (2005, 2017) Fellowships (FRSE, FRSC) He has organized major international conferences like the 1st International Conference on Metal-Organic Frameworks (2008) and led the Royal Society Discussion Meeting on 'The New Chemistry of the Elements' (2014). His work bridges fundamental inorganic chemistry with practical solutions for clean air technologies and carbon capture .

• Membrane Engineering
• Water Treatment
• Reverse Osmosis
• +7 more

Walter G.J. van der Meer is a full Professor at the Department of Water Management, Faculty of Civil Engineering and Geosciences, Delft University of Technology. He is a leading researcher in membrane technologies, water treatment, and sustainable water systems, with over 100 research outputs and an h-index of 36. His work focuses on reverse osmosis, filtration, PFAS removal, and micropollutant management in potable and wastewater systems. His research interests lie at the intersection of environmental and chemical engineering, particularly in advancing membrane-based separation processes. Key areas include reverse osmosis modeling, adsorption mechanisms, brine management, and the removal of emerging contaminants such as perfluoroalkyl substances (PFAS). His work integrates experimental studies with theoretical modeling to improve efficiency and sustainability in water treatment. Recent publications (2020–2025) reveal a strong trend toward sustainable water solutions, with emphasis on PFAS remediation, bio-based adsorbents, energy-efficient desalination, and wastewater reuse. His research combines material science, process engineering, and environmental chemistry, contributing to both fundamental understanding and practical applications in water infrastructure. Walter van der Meer has secured significant research impact through extensive collaboration, particularly within the Dutch 4TU federation. He has co-supervised at least 10 student projects and contributes to open science through public data repositories. His work is frequently published in high-impact journals such as Desalination , Water Research , and ACS ES&T Water .

Quentin StiévenartView profile

Researcher

• Abstract Interpretation
• Concurrency
• Static Analysis

Quentin Stiévenart is a researcher at Université du Québec à Montréal, focusing on abstract interpretation, concurrency, and static analysis. His work spans programming language design, software verification, and tool development for WebAssembly and functional languages like Racket and Scheme. Active in organizing and reviewing for conferences including SPLASH, ICFP, ECOOP, and SAS Developed tools such as Wassail for WebAssembly static analysis and RacketLogger for educational purposes Contributions include theoretical work on effect-driven flow analysis and practical advancements in concolic execution abstraction His research addresses challenges in concurrency verification, cyclic reinforcement in incremental analysis, and security-focused taint tracking across multiple language paradigms.

Peter SollichView profile

Professor

• Non-equilibrium statistical physics
• Soft matter rheology
• Active matter
• +7 more

Prof. Dr. Peter Sollich is a Professor of Theoretical Physics at Georg-August-Universität Göttingen, affiliated with the Institute for Theoretical Physics. His research spans non-equilibrium statistical physics with applications to soft matter, active systems, and complex networks. He maintains a small part-time appointment at King's College London. His primary research interests focus on non-equilibrium statistical physics , particularly soft and active matter rheology, jamming transitions, glassy dynamics, dynamical phase transitions, and inference from dynamical data. His work bridges theoretical physics with applications in materials science and network theory, emphasizing both fundamental mechanisms and quantitative modeling approaches. Analysis of his recent publications reveals strong thematic consistency in studying glassy dynamics and active matter systems , with increasing integration of machine learning techniques for network analysis. Key methodological threads include coarse-grained modeling, spectral analysis of complex systems, and non-equilibrium thermodynamics frameworks. His 2023-2025 work shows growing emphasis on nonreciprocal interactions in active mixtures and physics-inspired machine learning applications. Prof. Sollich actively supervises Bachelor's, Master's, and PhD students, welcoming thesis inquiries in theoretical physics. His group develops analytical and computational approaches to complex dynamical systems, with recent grants likely supporting work on network dynamics and active matter modeling (specific grants not detailed in source text). His research group operates within the Institute for Theoretical Physics at Göttingen, focusing on computational and analytical modeling of disordered systems. Current projects involve elastoplastic modeling of amorphous solids, spectral analysis of heterogeneous networks, and theoretical frameworks for active matter phase separation.

Jan PeleskaView profile

Professor

• Formal Methods
• Dependable Systems
• Distributed Systems
• +8 more

Jan Peleska is a Professor at the Department of Computer Science, Faculty of Mathematics and Computer Science, University of Bremen. He is a member of the Bremen Institute of Safe Systems (BISS) and co-editor of the BISS Monographs series. His research focuses on the application of formal methods and model-based testing to safety-critical embedded systems in domains such as avionics, railways, and automotive engineering. Affiliation: University of Bremen, TZI (Center for Computing Technology), BISS (Bremen Institute of Safe Systems) Academic Role: Professor of Computer Science Research Interests Peleska’s work emphasizes formal methods for dependable systems, particularly distributed and reactive real-time systems. Key areas include: Formal methods (safety, reliability, availability, security) Development of fault-tolerant systems Test automation for reactive systems Tools development for formal methods Integration with software development standards His research is applied to industrial projects involving safety-critical embedded systems, such as avionic systems and railway control systems. A comprehensive overview is provided in his Habilitation Thesis: Formal Methods and the Development of Dependable Systems . Publication Trends Peleska’s recent publications (2012–2022) focus on model-based testing (e.g., symbolic finite state machines, CSP refinement), standardisation of autonomous train control, and tools for automated testing. His work addresses challenges in railway interlocking systems, avionic software verification, and hybrid system validation, often combining formal methods with practical industrial applications. Scientific Awards Best Paper Award at FORMS/FORMAT 2014 Best Paper Award at QA+Test 2007 Other Responsibilities Peleska co-manages the Post Graduate Programme Embedded Systems GESy and serves as a shareholder/consultant for Verified Systems International GmbH. He has delivered invited lectures on industrial verification, model-based testing, and formal methods at institutions like the University of Tunghai (2016) and workshops including CyPhyAssure Spring School (2019).

Eugénia da Conceição-HeldtView profile

Professor

• International Organizations
• European Integration
• Global Economic Governance
• +3 more

Eugénia da Conceição-Heldt is Professor and Chair of European and Global Governance at the Technical University of Munich's School of Social Sciences and Technology, a position she has held since July 2016. She previously served as reform rector of the Hochschule für Politik München and founding dean of the TUM School of Governance from 2016 to 2021, and held the chair of International Politics at TU Dresden from 2012 to 2016. Her academic career includes appointments as assistant professor at Humboldt-Universität zu Berlin and guest professor at Freie Universität Berlin, along with prestigious fellowships at Harvard University, the European University Institute, the Social Science Research Center Berlin, and Princeton University. Her educational background includes: PhD in Political Science from Freie Universität Berlin Habilitation at Humboldt-Universität zu Berlin Professor da Conceição-Heldt's research focuses on the delegation of power to international organizations, European integration processes, global economic governance structures, two-level games in international negotiations, accountability mechanisms in the digital age, and the impact of technological disruptions on political systems. Her work bridges theoretical frameworks with empirical analysis of contemporary governance challenges, particularly examining how institutions adapt to crises and technological change while maintaining democratic legitimacy. Her recent publications demonstrate a consistent focus on institutional adaptation in global governance, with particular attention to the European Union's institutional dynamics, international financial architecture, and the temporal dimensions of political decision-making. Her scholarship reveals how international and European institutions navigate tensions between independence and accountability, effectiveness and legitimacy, particularly during periods of disruption. Her distinguished career has been recognized with numerous prestigious awards: TUM IAS Carl von Linde Fellowship (2022) Visiting Research Scholar at Princeton University (2022) Medal for Outstanding Contributions to the Free State of Bavaria (2019) Fulbright Fellowship at Harvard University (2015) European Research Council Consolidator Grant (2012) Heisenberg Fellowship from the German Science Foundation (2010) As an active researcher and academic leader, Professor da Conceição-Heldt has secured significant research funding including a €1.3 million ERC Consolidator Grant. Her scholarly contributions include over 40 peer-reviewed journal articles published in leading outlets such as the Journal of Common Market Studies, Journal of European Public Policy, and Review of International Political Economy, along with four monographs and multiple edited volumes. Her work bridges theoretical innovation with practical policy relevance in the fields of European and global governance.

• Computer Architecture
• Programming Models
• Parallel Computing
• +4 more

Daniel Jimenez Gonzalez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the School of Informatics (FIB). He is an active researcher in programming models and high-performance computing, contributing extensively to the field through publications, projects, and academic supervision. Research Interests: His work focuses on Computer Architecture , Programming Models , and Parallel Computing . He investigates task-based programming, runtime systems, compiler optimizations, and performance modeling for multi-core and heterogeneous architectures. His research addresses challenges in scalability, energy efficiency, and resilience in modern computing environments. His recent publications show a consistent trend in task-based programming models , runtime scheduling , and performance optimization across diverse architectures, including NUMA and GPU-accelerated systems. The work spans from theoretical modeling to practical implementation, often targeting real-world HPC applications. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While specific students are not listed, his involvement in doctoral theses and R&D projects suggests an active role in mentoring graduate students. He has participated in both competitive and non-competitive R&D+i projects, indicating grant acquisition and project leadership experience in areas related to programming models and computer architecture. Labs and Teams: He is a member of the UPC PM - Programming Models research group, which focuses on the design, analysis, and optimization of modern programming paradigms for high-performance systems.