Find Academic Supervisors

• Branching processes
• Random trees
• Reinforcement processes
• +9 more

Cécile Mailler is a Reader in Probability at the University of Bath, where she is a member of the probability group Prob-L@B. She has held significant research positions including an EPSRC postdoctoral fellowship (2018-2021) titled "Random trees: analysis and applications" and previously worked as a postdoc at Prob-L@B (2013-2016) as part of Peter Mörters' EPSRC project "Emergence of Condensation in Stochastic Networks". She earned her PhD under the supervision of Brigitte Chauvin and Danièle Gardy at the Laboratoire de Mathématiques de Versailles. Her research focuses on probability theory with emphasis on branching processes, random trees, reinforcement mechanisms, Pólya urns, stochastic approximation, random networks, and statistical physics. She has made significant contributions to understanding preferential attachment models, zero-range processes, and random Boolean trees. Her work bridges theoretical probability with applications in statistical physics and combinatorics. Analysis of her recent publications shows a strong focus on random tree structures, branching processes, and reinforcement learning algorithms, with applications spanning from network theory to statistical mechanics. Her research demonstrates sophisticated mathematical techniques applied to complex stochastic systems, particularly those with reinforcement mechanisms and memory effects. Associate Editor of the Applied Probability Trust (since October 2020) Associate Editor of Stochastic Processes and Their Applications (since March 2022) Author of a general introduction to Pólya urns for the LMS Newsletter (November 2020) Co-organizer of the "Random Walks: Applications and Interactions" conference at CIRM (January 2026) She actively supervises PhD students working on topics including the multi-city ants process, Pólya urns with growing initial composition, large deviations for the Monkey walk, and competing growth processes. She has secured research funding through EPSRC fellowships and has been involved in multiple collaborative projects with prominent researchers in probability theory. Mailler regularly teaches mini-courses on advanced probability topics at international summer schools and workshops, demonstrating her commitment to knowledge dissemination in the field.

Christos GatzidisView profile

Professor

• Computer Graphics
• Virtual Reality
• Serious Games
• +5 more

Christos Gatzidis serves as Executive Dean of Bournemouth University's Faculty of Science and Technology since October 2023, overseeing six departments including Computing and Informatics, Creative Technology, and Psychology. Previously Deputy Dean (2021-2023) and Head of Creative Technology Department (2016-2021), he was appointed Professor in Creative Technology in November 2019. The Faculty leads five REF Units of Assessment and secures funding from AHRC, NIHR, and Innovate UK for research spanning digital healthcare, gaming technologies, and cultural heritage applications. His educational qualifications include: PhD in Information Science, City University London (2010) PG Cert in Research Degree Supervision, Bournemouth University (2010) MA in Computer Animation, Teesside University (2003) BSc (Hons) in Computer Studies (Visualisation), University of Derby (2002) Professor Gatzidis specializes in computer graphics with research spanning virtual reality, serious games, and digital healthcare applications. His work bridges technical innovation and practical implementation, particularly in mindfulness prototypes for healthcare and stroke rehabilitation systems. Current projects focus on the multidisciplinary application of gaming technologies in medical contexts, emphasizing user experience and therapeutic outcomes through collaborations with industry partners. His publication record (2014-2025) demonstrates evolving expertise from foundational computer graphics research in terrain generation and deformation to applied work in healthcare, cultural heritage, and music education. Key trends include virtual reality for therapeutic mindfulness, usability studies in mobile gaming, and digital cultural presentation techniques, reflecting a trajectory toward socially impactful technological solutions with strong industry translation. No scientific awards are documented in the provided information. He has supervised PhD students and secured competitive research funding, including two Innovate UK Knowledge Transfer Partnerships. His principal investigator role in a virtual reality mindfulness prototype project exemplifies his approach to translating academic research into practical industry solutions, with current focus on expanding knowledge exchange activities to support the University's civic engagement mission. As Executive Dean, he leads faculty-wide research strategy across six departments, fostering interdisciplinary collaborations particularly in digital healthcare and cultural heritage. His personal research integrates computer graphics expertise with clinical applications through partnerships with healthcare providers and technology companies, driving innovation in therapeutic VR systems and educational gaming platforms.

Cesare FranchiniView profile

Professor

• Quantum Materials
• Computational Physics
• First Principles Methods
• +7 more

Cesare Franchini is a full Professor at the University of Vienna's Faculty of Physics, leading the Computational Materials Physics research group. His work focuses on theoretical understanding and computational modeling of quantum materials using first principles methods, particularly VASP. He maintains an active research program with numerous postdocs, PhD students, and collaborations across multiple institutions including the University of Bologna. Professor Franchini's research centers on quantum materials with many interacting degrees of freedom (lattice, spin, and electron orbital) that enable novel electronic and magnetic phases. His specific interests include metal-insulator transitions, polaron physics (electron-phonon interactions), non-collinear spin orderings, topological Dirac/Weyl phases, multiferroism, and superconductivity. He has increasingly incorporated machine learning data-driven tools and diagrammatic Monte Carlo techniques into his computational approaches. Analysis of his recent publications (2024-2025) reveals a strong focus on polaron physics across multiple material systems, with significant work on hematite, titanium dioxide, and quantum paraelectrics like KTaO3. His research increasingly integrates machine learning with traditional first-principles methods, particularly for studying hydrogen diffusion, surface science phenomena, and electronic structure calculations. There's also substantial work on single-atom catalysis and the application of advanced computational techniques to understand fundamental charge transport mechanisms in energy materials. Professor Franchini actively supervises numerous PhD students and postdocs, including Andrea Angeletti, Viktor Birschitzky, Lorenzo Celiberti, and several others working on diverse aspects of computational materials physics. He leads or participates in major research projects including TACO (Taming Complexity in Materials Modeling), DCAFM (Doctoral College Advanced Functional Materials), and the recently launched Spin-orbit entangled anharmonic polarons project. His group maintains strong collaborations with experimentalists at Charles University, Technical University of Vienna, and other international institutions.

Robert M. Weikle, IIView profile

Professor

• Millimeter-wave electronics
• Terahertz technology
• Applied electromagnetics
• +9 more

Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.

Kenneth D. ForbusView profile

Professor

• Qualitative Reasoning
• Analogical Reasoning
• Spatial Reasoning
• +6 more

Ken Forbus is the Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University. He earned his Ph.D. in Artificial Intelligence from MIT in 1984, along with S.M. and S.B. degrees in Computer Science from the same institution. Current research focuses on qualitative reasoning , analogical reasoning , spatial reasoning , sketch understanding , and the Companion cognitive architecture . He has made foundational contributions to qualitative physics , compositional modeling , and cognitive simulation through systems like CyclePad and Companions . His work spans AI, cognitive science, and education technology with applications in intelligent tutoring systems , educational software , and interactive entertainment . Awards and Fellowships: Humboldt Research Award AAAI Fellow Cognitive Science Society Fellow ACM Fellow AAAS Fellow Herbert A. Simon Prize recipient Research trends in recent publications include analogical reasoning frameworks, normative modeling, pretense simulation, qualitative spatial representations, and applications in education and cognitive systems. Articles frequently address intersections between AI, cognitive science, and human-computer interaction. Teaching activities include core courses like Cognitive Science 207 , Design of Problem Solvers , and Conversational AI . He co-developed the open-source Freeciv game framework for AI research in strategy games.

Charles FineView profile

Professor

• Supply Chain Strategy
• Operations Management
• Value Chain Roadmapping
• +4 more

Charles Fine is the Chrysler Leaders for Global Operations Professor of Management at MIT Sloan School of Management and concurrently serves as CEO, President, and Dean of the Asia School of Business (ASB) in Kuala Lumpur since 2015. He holds an AB in Mathematics and Management Science from Duke University, MS in Operations Research, and PhD in Business Administration from Stanford University. His research focuses on supply chain strategy, value chain roadmapping, and operations management in fast-clockspeed industries such as automotive and aerospace. He has pioneered frameworks for strategic innovation, entrepreneurial operations, and urban mobility systems. Key contributions include the concept of 'clockspeed' in industry dynamics and co-authoring Clockspeed (1998) and Faster, Smarter, Greener (2017). Fine co-directs MIT Sloan’s Driving Strategic Innovation executive program with IMD, Switzerland. He previously served on the board of Greenfuel Technologies, a biotech startup he co-founded. His work has been published in top journals like Management Science , Production and Operations Management , and Interfaces . Recent research highlights include analyzing unintended consequences of automated vehicles and exploring supply chain strategies for market expansion through O2S (Online-to-Store) models. He advises global corporations on supply chain resilience, value chain design, and innovation scaling.

Mahsan NouraniView profile

Academic

• Artificial Intelligence
• Human-Computer Interaction
• Healthcare Informatics
• +3 more

Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.

Ronald G. LarsonView profile

Professor

• Complex Fluids
• Fluid Mechanics
• Polymer Physics
• +6 more

Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.

• Materials Science
• Condensed Matter Physics
• Nanotechnology
• +3 more

Dr. Qingbo Sun is a researcher at the Department of Materials Physics, Australian National University, specializing in advanced materials for energy and electronic applications. His work focuses on defect engineering, dielectric materials, and photovoltaic effects in nanocrystalline systems. Research interests include: Defect-driven local symmetry breaking Colossal dielectric permittivity Photocatalytic heterojunctions High-pressure material transformations Doping strategies in semiconductors Nonlinear electric polarization Research trends from his publications highlight innovations in TiO2-based photocatalysts, SnO2 dielectrics, and ferroelectric heterostructures. Collaborations span materials synthesis, computational modeling, and international experimental studies. His work is cited extensively in Scopus with 294 citations.

Dongyun NieView profile

Assistant Professor

• Customer Lifetime Value
• Data Mining
• Forecasting
• +2 more

Dr. Dongyun Nie is an Assistant Professor at Dublin City University's School of Computing. She holds a PhD in Computer Science with a specialization in Customer Relationship Management. Her core research explores customer lifetime value, forecasting, data mining, and record linkage. Her recent publications demonstrate interdisciplinary work spanning health informatics, sports analytics, and environmental data engineering. Research predominantly focuses on machine learning applications for real-world data challenges including eye-tracking systems, lifelog analytics, and public health data infrastructure. Teaching responsibilities include modules on Machine Learning (CA4109), Enterprise Systems Configuration (CA2049), and Web Design (CA106), integrating research expertise into computing education.

Yar MuhammadView profile

Senior Lecturer

• Brain-Computer Interfaces
• Artificial Intelligence
• Machine Learning
• +1 more

Dr. Yar Muhammad is a Principal Lecturer in Computer Science at the University of Hertfordshire's School of Physics, Engineering & Computer Science. His research develops Brain-Computer Interface applications using AI/ML techniques for healthcare. He holds a PhD in ICT (Tallinn University of Technology) and dual master's degrees. Research Leadership: Supervised PhD students: Nimra Memon (fault-tolerance in web services), Dmytro Zabolotnii (agent behavior prediction), Mahir Gulzar (context-aware modeling) Accepts self-funded PhD candidates in BCI/AI applications Awards: Young Investigator Award (Springer/IFMBE, 2014) Best Paper Award Runner-up (26th ISSC 2015) Professional Recognition: Fellow of Higher Education Academy IEEE Senior Member Editorial board member for multiple journals

Luis F. Ayala H.View profile

Professor

• Advanced Reservoir Simulation
• Multiphase Flow in Porous Media
• Unconventional Reservoir Analysis
• +3 more

Luis F. Ayala H. is the Department Head and William A. Fustos Family Professor in the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He holds dual summa cum laude degrees in Chemical and Petroleum Engineering from Universidad de Oriente (Venezuela), and M.S. and Ph.D. degrees from Penn State. His research focuses on computational fluid dynamics modeling of multiphase flow in unconventional reservoirs, hydrocarbon thermodynamics, and reservoir simulation. Education: Ph.D. (Petroleum and Natural Gas Engineering), Penn State University M.S. (Petroleum and Natural Gas Engineering), Penn State University Petroleum Engineering Degree, summa cum laude, Universidad de Oriente Chemical Engineering Degree, summa cum laude, Universidad de Oriente Research Interests: Advanced reservoir simulation, unconventional gas reservoir analysis (shale gas, tight sands), multiphase flow in porous media, hydrocarbon thermodynamics, and lattice Boltzmann methods. His work aims to improve predictive capabilities for unconventional reservoirs through quantitative modeling of multiphase transport dynamics. Key Awards: SPE Distinguished Member (2022) Fulbright-Colciencias Innovation Award (2016-2017) Howard B. Palmer Faculty Mentor Award (2022) Wilson Award for Excellence in Teaching (2008) Grants & Advising: He has led numerous research projects funded by industry and federal agencies, advising graduate students in energy systems and reservoir engineering. His administrative roles include service as executive editor for the SPE Journal and as an Administrative Fellow at Penn State’s Office of Research. Labs & Teams: His research group collaborates on projects involving advanced simulation tools for unconventional reservoirs, with a focus on multiphase flow dynamics and thermodynamic interplay in nano-pore systems.

• Quantum Technologies
• Quantum Optics
• Semiconductor Epitaxy (MBE/MOVPE)
• +4 more

Dr. Emanuele Pelucchi is a Research Professor and Head of the Epitaxy and Physics of Nanostructures (EPN) group at Tyndall National Institute, University College Cork. His research focuses on quantum technologies, epitaxial growth (MBE/MOVPE), quantum dot physics, and photonic integration. He leads a world-class MOVPE facility, pioneering developments in site-controlled quantum dots and entangled photon emitters. Pelucchi's work has resulted in over 129 international publications with an h-index of 28 (Scholar), including contributions to Nature Photonics and NanoLetters. He has held a Science Foundation Ireland Principal Investigator grant since 2006, establishing his group at Tyndall in 2007. His expertise spans semiconductor nanostructures, including III-V materials and quantum optics. Pelucchi actively reviews for top journals and chairs international conferences, contributing to the field's academic discourse. His MOVPE laboratory is recognized as a key resource for III-V materials, serving as a secondary supplier to the UK National Centre for III-V Materials. Pelucchi's research bridges fundamental physics and applied photonics, driving advancements in quantum information processing and optoelectronic devices.

Yi ZhengView profile

Associate Professor

• Nanoscale thermal transport
• Renewable energy harvesting
• Thermophotovoltaics
• +6 more

Yi Zheng is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, where he directs the Nano Energy Laboratory. He previously held positions at the University of Rhode Island before joining Northeastern in 2019. His research focuses on nanoscale thermal transport, renewable energy systems, photon-based cooling, and sustainable materials derived from biomass. Zheng serves on editorial boards for Scientific Reports and Journal of Photonics for Energy , and actively participates in conferences like ASME IMECE. He holds a PhD in Mechanical Engineering from Columbia University (2015), with earlier degrees from Columbia and Tsinghua University. Education: Ph.D., Mechanical Engineering, Columbia University (2015) M.S., Mechanical Engineering, Columbia University (2011) B.S., Mechanical Engineering, Tsinghua University (2009) Research Interests: Prof. Zheng’s work bridges nanotechnology and energy systems, emphasizing novel materials for thermal management, radiative cooling, and sustainable energy harvesting. His lab develops biomass-derived composites for solar desalination, thermophotovoltaics, and smart cooling paints. Key projects include ultra-dark solar absorbers, phase-change material-based thermal devices, and recyclable cellulose-based materials. Grants & Awards: 2024 ASME Rising Star Award 2019 NSF CAREER Award 2025 NASA Glenn Faculty Fellow 3M Non-Tenured Faculty Award (2022) Labs/Teams: The Nano Energy Laboratory at Northeastern collaborates internationally on projects like photonics-enabled biosensors and adaptive radiative cooling systems. Recent innovations include self-cleaning cellulose composites and cooling paints for urban heat reduction.

Weiwei LinView profile

Associate Professor

• Structural Engineering
• Civil Engineering
• Materials Science
• +5 more

Weiwei Lin is an Associate Professor in the Department of Civil Engineering at Aalto University, specializing in structural engineering with a focus on bridge systems, composite materials, and structural health monitoring. His research explores fatigue behavior of steel structures, seismic performance of composite systems, and innovative repair techniques. He holds a PhD from Waseda University (2012), MSc from Southeast University (2009), and BEng from Southwest Jiaotong University (2006). Key research areas include: steel-concrete composites, bridge redundancy evaluation, replaceable energy dissipaters, and AI-driven infrastructure diagnostics. Lin leads projects like CCU Structure (EU Horizon Europe) and RCF Mobility initiatives, focusing on sustainable construction and material recyclability. He has published 120+ peer-reviewed articles and secured 6 major grants. Lin has received prestigious awards including the IABMAS Young Award (2014) and Outstanding Reviewing Award (2017). His lab collaborates globally, hosting researchers from institutions like Israel Institute of Technology and Tsinghua University. Current work emphasizes crowdsourcing-based bridge monitoring and physics-guided AI frameworks for infrastructure diagnostics.