Find Academic Supervisors

Laura MarusterView profile

Assistant Professor

• Process Mining
• Process Modelling
• Healthcare Networks
• +5 more

Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.

Ningchuan XiaoView profile

Professor

• Machine Learning and Spatial Data
• Census Data
• Spatial Optimization
• +3 more

Ningchuan Xiao is a Professor of Geography at The Ohio State University's Department of Geography. His work bridges Geographic Information Science (GIScience) with computational methods, emphasizing spatial optimization, cartography, and machine learning integration. Education: Ph.D. in Geography from The University of Iowa (2003). Courses taught include GIS fundamentals, cartography, and Python-based spatial analysis. Research Interests: Spatial Optimization: Developing algorithms for land acquisition, redistricting, and resource allocation. Machine Learning & Cartography: Exploring AI-driven map interpretation and ethical visualization of complex data. Census Data: Innovating privacy-preserving techniques while maintaining data utility, including temporal/spatial modeling. Open Source Tools: Authored GIS Algorithms (2016) and maintains GitHub repository 'gisalgs' for accessible code. Publications: Recent work (2023-2025) highlights advancements in synthetic microdata generation, privacy-utility tradeoffs in census aggregation, and AI-driven cartographic recognition. His 2022 studies include traffic camera analytics and choropleth map QA systems. Awards: Not explicitly listed in the provided texts. Advising & Grants: Collaborated with researchers like Y. Lin, J. Li, and S. Bao. Projects include the Sustainable Columbus Observatory (SCO) for urban sustainability metrics. Research is supported through academic partnerships and computational initiatives.

Amir Keyvan KhandaniView profile

Professor

• Information Theory
• Wireless Communications
• Optical Communications
• +5 more

Dr. Amir Keyvan Khandani is a Professor and Senior Ciena-NSERC Industrial Research Chair in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds prestigious research chairs including Tier 1 Canada Research Chair in Wireless Communications and former Senior NSERC Chairs with Blackberry and Nortel. His research focuses on information theory, wireless and optical communications, and signal processing, emphasizing foundational principles and practical applications. Dr. Khandani earned his BEng and MEng from Tehran University (1985) and PhD from McGill University (1992). He joined Waterloo in 1993, supervising over 45 PhD students, 35 master’s candidates, and numerous postdoctoral researchers. His alumni work globally in academia and industry. Research interests include Network Information Theory , Media-Based Modulation , Full-Duplex Systems , and Quantum-Safe Encryption . Recent work explores secure key generation, interference management, and next-generation wireless innovations. Notable awards include NSERC/Ciena Industrial Research Chair and multiple Canada Research Chairs. His publications span foundational and applied topics in communications, with recent focus on cybersecurity and 5G/6G technologies. Dr. Khandani actively contributes to conferences, consults for industry/government, and teaches ECE 307 - Probability Theory and Statistics . His lab develops cutting-edge solutions in wireless networks, optical systems, and secure communication protocols.

• Financial Literacy
• Superannuation
• Corporate Governance
• +5 more

Elizabeth Ooi is a Senior Lecturer of Finance at the UWA Business School, University of Western Australia. She holds a PhD from Monash University and has extensive experience in financial literacy and personal finance research, including consulting for the OECD. Her research focuses on superannuation governance, financial education, and corporate governance, with notable contributions to policy reports and peer-reviewed journals. She has secured over $140,000 in research grants and co-founded the UnderstandingSuper initiative to enhance financial literacy. Education: BA, BCom, PGradDipEc&Com (Monash University), PhD (Monash University). Research interests include financial literacy measurement, gender disparities in financial knowledge, superannuation fund governance, and socially responsible investing. Her work aligns with UN Sustainable Development Goals related to economic empowerment and financial inclusion. Grants and funding include projects with CPA Australia, Industry Superannuation Australia, and the NSW TechVoucher grant. She has supervised multiple PhD and honours students, contributing to academic and policy discussions on financial systems reform. Professional roles include Deputy Director of External Engagement (2018-2022), seminar series coordinator, and board memberships. She has presented globally at institutions like the OECD and the United Nations, and her media engagements include contributions to The Conversation, The Australian, and Sydney Morning Herald.

François BaccelliView profile

Visiting Professor

• Applied Probability
• Stochastic Geometry
• Wireless Networks
• +4 more

François Baccelli is a Research Director at INRIA Paris and Visiting Professor at Télécom Paris, leading the ERC Advanced Grant NEMO project on network mathematics. He holds a Doctor Honoris Causa from Heriot-Watt University and is a Member of the French Academy of Sciences. His career spans key roles including head of the Simons Center on Communication, Information and Network Mathematics (2012–2019), and faculty positions at École Polytechnique (1991–2003) and the University of Texas at Austin (2012–2021) as Simons Math+ECE Chair. Education: PhD in Applied Mathematics from Université Paris-Sud (1983), advised by Erol Gelenbe. Graduate of Télécom Paris (1977). Research Interests: Baccelli’s work bridges applied probability, stochastic geometry, and network dynamics with applications to telecommunications. He pioneered spatial stochastic networks, stochastic geometry modeling of wireless systems, and max-plus algebra for discrete-event systems. His contributions include foundational theories on queuing networks, Palm probabilities, and latency-constrained system design. Awards & Recognition: 2024 Blackwell Prize (INFORMS Applied Probability Society). 2014 ACM Sigmetrics Achievement Award. 2014 IEEE Stephen O. Rice and Leonard G. Abraham Prizes. Collaborations: Co-founder of the LINCS joint laboratory (INRIA/IMT/Nokia Bell Labs/Sorbonne/SystemX), fostering interdisciplinary research in communications and networks. Supervised numerous graduate students who now lead academic and industrial research globally. Labs & Teams: LINCS laboratory and ERC NEMO project, focused on network mathematics and large-scale system dynamics.

Rani MoranView profile

Lecturer

• Decision Making
• Reinforcement Learning
• Cognitive Maps
• +5 more

Dr. Rani Moran is a Lecturer in Psychology at Queen Mary University of London's School of Biological and Behavioural Sciences. She is affiliated with the Centre for Brain and Behaviour. Her research focuses on decision-making, memory, and learning mechanisms, employing methods like computational modeling, neuroimaging, and pharmacological interventions. Key interests include reinforcement learning, cognitive maps, and exploration-exploitation dilemmas. Her work integrates experimental designs with advanced statistical analysis to understand flexible behavioral control. Recent studies explore model-based vs. model-free learning, credit assignment mechanisms, and disinformation's impact on learning biases. She has published in top journals such as Psychological Review and Nature Communications . Dr. Moran collaborates on projects involving neurocomputational models of confidence, meta-cognition, and social learning. Her research aims to develop interventions for optimizing cognitive processes, with applications in mental health and decision-making contexts.

Pierre AlliezView profile

Researcher

• Geometry Processing
• Computer Graphics
• Computational Geometry
• +5 more

Pierre Alliez is a Senior Researcher and Team Leader at Inria Sophia Antipolis – Méditerranée, leading the TITANE project-team. He holds roles such as President of the Inria Evaluation Commission and Scientific Coordinator of the Inria-DFKI partnership. His research focuses on Geometry Processing, including mesh compression, surface reconstruction, and optimal transportation. Alliez has authored numerous scientific publications and book chapters, receiving accolades like the Eurographics Young Researcher Award (2005) and ERC grants (IRON, TITANIUM). His academic activities include supervising over 50 PhD students and postdoctoral researchers, and leading projects like GRAPES (Learning and Processing Shapes) and BIM2TWIN (digital twin construction). He has served on editorial boards for Computer Graphics Forum and ACM Transactions on Graphics , and organized major conferences like Pacific Graphics and Eurographics. His work bridges computational geometry, computer graphics, and applied mathematics, with practical applications in 3D printing, cultural heritage, and urban modeling. Education: No specific educational details provided, but has authored a textbook on Polygon Mesh Processing (AK Peters, 2010). Research Interests: Geometry Processing, Mesh Generation, Surface Reconstruction, Optimal Transport, and 3D Data Analysis. Grants & Projects: ANR Pisco, ERC IRON, BIM2TWIN, GRAPES, and collaborations with industries like Dassault Systèmes and Dorea Technology. Labs/Teams: Leads the TITANE team at Inria, contributing to software like CGAL and advancing open-source tools for geometric processing.

• Bilingual Education
• Educational Resilience
• Classroom Learning Environments
• +3 more

Hector Rivera is an Associate Professor in the Department of Educational Psychology at Texas A&M University’s College of Education and Human Development. His research focuses on bilingual education, educational resilience, classroom learning environments, and community development, particularly for English Language Learners (ELLs). He has advised doctoral students such as Bizhu He and Lileana Rios-Ledezma. His work bridges sociocultural perspectives with practical interventions to support underrepresented groups, including refugees and minority students. Awards include the 2015 Outstanding New Faculty Award from CEHD. Key research initiatives include the Eco-Resilience NPD program (2016-2021), funded by the US Department of Education, aimed at connecting multiple environments to support ELL success. Other projects address teacher performance evaluation and STEM pathways for Hispanics. Rivera has held leadership roles like Chair of the Climate Committee in EPSY (2016) and Co-Chair of the NABE Special Interest Group (2015). Publications span topics like parental involvement in bilingual education, teacher empowerment, and the impact of learning environments on student resilience. His work often emphasizes culturally responsive practices and systemic equity in education.

Kimberly C. ClaeysView profile

Associate Professor

• Antimicrobial Stewardship
• Diagnostic Stewardship
• Implementation Science
• +4 more

Dr. Kimberly C. Claeys is an Associate Professor in the Department of Practice, Sciences, and Health Outcomes Research at the University of Maryland School of Pharmacy. She holds a PhD in Epidemiology from the University of Maryland School of Medicine, with a focus on diagnostic stewardship in healthcare-associated infections, particularly UTIs. Dr. Claeys is a Fellow of the Center for Innovation in Diagnosis and a 2022/23 Scholar in Diagnostic Excellence from the National Academy of Medicine. Her research emphasizes antimicrobial and diagnostic stewardship, implementation science for improving antibiotic use, and rapid diagnostic testing (RDT) for bacterial infections. She serves as Co-Chair for the University of Maryland Medical System (UMMS) Sepsis Program Rapid Diagnostic Subcommittee. Key areas of study include optimizing diagnostic testing workflows, reducing diagnostic errors, and aligning antibiotic therapy with diagnostic evidence. Her work bridges clinical practice and public health, addressing challenges in both acute care and long-term settings.

• Software Engineering
• Software Security
• Artificial Intelligence

Mike Papadakis is an Associate Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where he leads the SerVal research group. His research focuses on software engineering, software security, and artificial intelligence. He holds a PhD in Software Testing and Verification from Athens University of Economics and Business, with an MSc and BSc from the same institution. His research explores mutation testing, machine learning applications in software development, and test optimization. Recent publications demonstrate a strong emphasis on AI robustness, flaky test analysis, and automated debugging techniques. Notable achievements include the IEEE TCSE Rising Star Award (2020) and 12 additional research awards. He has published over 100 peer-reviewed articles and delivered more than 30 invited talks globally.

Markus MüllerView profile

Professor

• Quantum Information Processing
• Quantum Simulation
• Quantum Error Correction
• +5 more

Markus Müller is a Professor in Theoretical Quantum Technology at RWTH Aachen University and the Forschungszentrum Jülich's Peter Grünberg Institute. He leads a research group focused on quantum information processing, quantum simulation, and topological quantum computing/ error correction using atomic, molecular, and optical systems. His work bridges theory and practice, with collaborations on trapped-ion and neutral-atom quantum processors. Education: PhD in Quantum Simulation (2011, University of Innsbruck). Postdoctoral positions at Complutense University Madrid. Faculty roles at Swansea University (2015–2019) before moving to Aachen. Research Interests: Quantum error correction, fault-tolerant protocols, topological phases, quantum neural networks, and scalable quantum hardware. His group explores applications in trapped ions, Rydberg atoms, and superconducting qubits, with projects funded by ERC and EU Quantum Flagship grants. Grants/Projects: ERC Starting Grant (Quantum Neural Networks), EU AQTION (Trapped Ion Quantum Computing), VEQTOR (Fault-Tolerance Validation), and Munich Quantum Valley (Neutral-Atom Processors). Key Publications: Includes experimental demonstrations of fault-tolerant gates, surface-code error correction, and quantum neural networks. Over 120 peer-reviewed articles in Nature Physics , Physical Review X , and Quantum .

Christos MiasView profile

Associate Professor

• Electromagnetic Shielding
• Computational Electromagnetics
• Microwave Engineering
• +3 more

Dr Christos Mias is a Reader in Electrical and Electronic Engineering at the School of Engineering, University of Warwick, UK. He serves as Director of Studies for the Electrical and Electronic Engineering stream and has held roles such as UK URSI Commission B (Fields and Waves) representative from 2009-2014. His research focuses on electromagnetic shielding, computational electromagnetics, microwave engineering, antennas, periodic structures, and radiowave propagation. Dr Mias' work bridges theoretical advancements with practical applications in antenna design, frequency selective surfaces, and electromagnetic modeling. His research interests emphasize innovative solutions in antenna array analysis, periodic structure optimization, and advanced simulation techniques such as finite element time-domain (FETD) modeling. He has contributed to understanding scattering phenomena, non-reflecting boundary conditions, and molecular vs electromagnetic wave propagation comparisons. Recent studies include railway infrastructure monitoring and critiques of superlensing concepts in plasmonics. Publications highlight advancements in MoM formulations, FSS analysis, and sparse matrix methodologies for boundary condition simulations. His work often integrates computational methods with real-world engineering challenges, such as optimizing antenna performance and improving electromagnetic compatibility in complex environments. Dr Mias advises through his role as Director of Studies, fostering academic excellence in electrical engineering education. His office is located in A325, with advice hours on Fridays 10 AM-12 PM during term time.

Davide ScaramuzzaView profile

Professor

• Robotics
• Computer Vision
• Autonomous Navigation
• +4 more

Davide Scaramuzza is a Professor and Director of the Robotics and Perception Group at the University of Zurich. He holds a Ph.D. from ETH Zurich and has conducted postdoctoral research at the University of Pennsylvania and Stanford. His research focuses on autonomous drone navigation using visual and event-based sensors, leading to breakthroughs like AI drones outperforming human pilots in racing (Nature 2023). He pioneered algorithms for Mars helicopter navigation and developed the PX4 autopilot system. Key awards include the Kiyo-Tomiyasu IEEE Technical Field Award (2024), ERC Consolidator Grant (2019), and multiple best paper awards. His entrepreneurial ventures include co-founding Zurich-Eye (later Meta Zurich) and SUIND for agricultural drones. He co-authored the textbook Introduction to Autonomous Mobile Robots , widely used in academia. Research spans event camera algorithms, visual-inertial SLAM, and reinforcement learning for agile flight. His lab's work is featured in IEEE Spectrum, The Guardian, and Forbes. He advises UN initiatives on AI for disaster response and nuclear safety. Current projects include Graph-Generating State Space Models (CVPR 2024) and event-based vision for automotive systems (Nature 2024).

Muhammad AsaduzzamanView profile

Assistant Professor

• Software Engineering
• Mining Software Repositories
• Empirical Software Engineering
• +2 more

Muhammad Asaduzzaman is an Assistant Professor in the School of Computer Science within the Faculty of Science at the University of Windsor. His research focuses on software engineering, particularly software maintenance, mining software repositories, and recommendation systems for developers. Research interests span empirical studies of software artifacts, API usage analysis, and improving developer productivity through tools like COSTER for API element identification. Recent work examines dependency management in Maven ecosystems and AI-assisted code completion. Publications show consistent focus on analyzing developer activities through platforms like Stack Overflow and GitHub. Current investigations include LLM applications for code synthesis and technical debt impact analysis.

• Biomolecular Systems
• Synthetic Biology
• Stochastic Thermodynamics
• +7 more

Thomas Ouldridge is a Royal Society University Research Fellow and Reader in Biomolecular Systems at the Department of Bioengineering, Faculty of Engineering, Imperial College London. He leads the 'Principles of Biomolecular Systems' group, which focuses on theoretical and computational modeling of complex biochemical systems, particularly exploring the interplay between molecular details and emergent behaviors like sensing, replication, and self-assembly. His work integrates natural systems analysis with synthetic biology applications, aiming to engineer artificial analogs of biological processes. His research spans interdisciplinary areas including stochastic thermodynamics, DNA-based computation, and molecular reaction networks. Key affiliations include the Physics of Life, Synthetic Biology Hub, and the Leverhulme Centre for Cellular Bionics. He has contributed to over 60 peer-reviewed articles since 2009, with recent work emphasizing energy-efficient molecular information processing and thermodynamic limits of biochemical systems. Awards: Royal Society University Research Fellowship (current). Labs/Teams: Principles of Biomolecular Systems Group, collaborating with multiple centers including the Centre for Synthetic Biology and Institute of Chemical Biology. Grants/Positions: Maintains research funding through the Royal Society and UKRI grants, focusing on non-equilibrium biomolecular systems and synthetic biology tools. Recent publications highlight advances in DNA templating networks, stochastic thermodynamic modeling of computation, and optimal protocols for molecular copying systems. His work bridges foundational physics with applied biotechnology, aiming to push the boundaries of synthetic biological engineering.