Find Academic Supervisors

Margherita BertuzziView profile

Lecturer

• Molecular Microbiology
• Fungal Pathogenesis
• Host-Pathogen Interactions
• +3 more

Dr. Margherita Bertuzzi is a Lecturer in Molecular Microbiology at the University of Manchester, affiliated with the Division of Evolution, Infection and Genomics and the Manchester Fungal Infection Group (MFIG). She holds roles as Co-Director of the MSc Infection Biology program and PGT Unit Lead for Host-Pathogen Interaction lectures and Research Project II. Her research focuses on fungal infection biology, particularly the antifungal phagocytic activities of respiratory epithelia in health and disease, with emphasis on pH-mediated signaling and COPD-related dysfunctions. She leads a team employing single-cell technologies and immunological analyses to study fungal-epithelial interactions. Education: BSc (Hons) Molecular Biology, University of Padua, Italy (2002-2005) MRes Human Health Biology, University of Padua, Italy (2005-2007) PhD Molecular Mycology, Imperial College London, UK (2007-2011) Research Interests: Her work explores epithelial encounters with respiratory pathogens, immune response modulation, and translational applications. Key areas include Aspergillus fumigatus pathogenesis, COPD exacerbations, and host-microbe interactions using cutting-edge imaging and single-cell techniques. Awards: MRC Discovery award (2017) MRC New Investigator Research grant (2021) Teaching & Mentoring: She delivers lectures on molecular mycology, mentors PGT students, and oversees research projects. Recent supervisees include PhD candidates (e.g., Patrick Dancer) and MSc/MRes students (e.g., Anna Möslinger, Caitlin Sergienko). Labs & Collaborations: Collaborations with Manchester University NHS Foundation Trust and the National Aspergillosis Centre support clinical translation. Her lab integrates interdisciplinary approaches to address fungal infection challenges aligned with UN SDG 3 (Good Health).

Nick ClarkView profile

Researcher

• Solid-state Physics
• Nanofabrication
• Two-dimensional Materials
• +9 more

Dr. Nick Clark is a Researcher in the Condensed Matter Physics Group at the University of Manchester , focusing on advanced nanofabrication and computational data analysis for 2D materials. His work bridges solid-state physics with machine learning, particularly through the National Graphene Institute. Expertise: Complex nanofabrication, 2D material membranes, electron microscopy (TEM/STEM), optical/electronic characterization Techniques: In-situ imaging, deep learning data analysis, multidimensional dataset processing Current research explores van der Waals heterostructures , ferroelectric 2D interfaces , and liquid-phase atomic dynamics . Recent publications address stability of metal-organic frameworks, twist domain imaging, and metallized silicon nitride membranes for clean assembly. His work contributes to UN Sustainable Development Goals through 2D material innovation.

SEAH Kar HengView profile

Associate Professor

• Materials Engineering
• Manufacturing Processes
• Metal Matrix Composites
• +3 more

Assoc Prof Seah Kar Heng is an Associate Professor in the Department of Mechanical Engineering at the National University of Singapore (NUS). He holds a B.Sc. (First Class Honours) from the University of Southampton (UK), and M.Sc. and PhD from Queen’s University, Canada. His research focuses on materials engineering, manufacturing processes, and advanced composites, with notable contributions to metal matrix composites and corrosion science. Education: B.Sc. Mechanical Engineering (First Class Honours), University of Southampton, UK (Colombo Plan and President’s Scholarship) M.Sc. Mechanical Engineering, Queen’s University, Canada PhD Mechanical Engineering, Queen’s University, Canada Research Interests: Materials and manufacturing, with emphasis on composite materials fabrication, mechanical properties analysis, and corrosion characteristics. His work bridges fundamental material science with industrial applications in machining, cutting tools, and material substitution strategies. Publications Trends: Prof Seah’s articles span composites development (e.g., aluminum/silicon carbide), metallurgical processes (cast iron properties), and manufacturing optimization (tool coatings, chip formation). Recent work (2004) expanded into biomedical applications via wavelet-based monitoring systems for fall detection. Lab and Teams: His research group likely focuses on materials testing laboratories and collaborative projects in NUS’ mechanical engineering facilities, though specific lab names are not mentioned.

• Theoretical Chemistry
• Computational Chemistry
• Quantum Chemistry
• +3 more

Lixin Lu is a Researcher (Postdoctoral Scholar) in the Department of Chemistry at Stanford University, affiliated with the School of Humanities and Sciences. Their work focuses on theoretical and computational chemistry, particularly in developing advanced electronic structure methods and applying them to study molecular dynamics, spectroscopy, and materials science. They are part of affiliated programs including CMAD (Center for Molecular Analysis and Design), ChEM-H (Chemistry, Engineering & Medicine for Human Health), and SSRL (Stanford Synchrotron Radiation Lightsource). Research interests include relativistic quantum chemistry, X-ray spectroscopy, ultrafast phenomena, and computational modeling of molecular systems. Their contributions span multiconfiguration methods, ab initio dynamics, and the analysis of radiation effects in materials. Theoretical frameworks developed by Lu address challenges in high-performance computing and accurate description of molecular excitations. Affiliations with SSRL and ChEM-H highlight collaborative efforts in experimental-theoretical interfaces, such as attosecond X-ray spectroscopy and liquid-phase dynamics. Lu’s work bridges computational innovation with cutting-edge experimental techniques to uncover fundamental insights into chemical and physical processes at the molecular level.

Shinichi NakajimaView profile

Researcher

• Bayesian Inference
• Generative Modeling
• Explainable Artificial Intelligence
• +4 more

Dr. Shinichi Nakajima is a Senior Research Lead at the Technical University of Berlin, affiliated with the BIFOLD (Berlin Institute for the Foundations of Learning and Data) and the AIP – RIKEN Center of Advanced Intelligence Project . He leads the research group “Probabilistic Modeling and Inference” at BIFOLD. His academic journey includes a Master’s in Physics from Kobe University (1995) and a PhD in Computer Science from Tokyo Institute of Technology (2006). Prior to academia, he worked at Nikon Corporation (1995–2014) on statistical analysis, image processing, and machine learning. His research focuses on Bayesian inference , generative modeling , explainable AI , and quantum computing , with applications in computer vision, natural language processing, and scientific computing. Notable projects include developing NeuLat (a neural sampling toolbox for lattice field theories) and advancing techniques for symbolic XAI to enhance AI transparency. Dr. Nakajima has published extensively on topics such as diffusion models, federated learning, and physics-informed neural networks. His work bridges theoretical foundations (e.g., Bayesian learning) with practical applications in quantum computing and biomedical imaging. He actively contributes to open-source tools and collaborates with industry and academic institutions globally. Key technical achievements include improving sampling efficiency in quantum eigensolvers, enhancing brain source reconstruction via 3D neural networks, and developing anomaly detection systems using self-supervised autoencoders. His research emphasizes computational efficiency and robustness against adversarial attacks, leveraging Langevin dynamics and gradient-based optimization methods.

Stephanie ReichView profile

Professor

• Optical Spectroscopy
• Nanotechnology
• Materials Science
• +4 more

Prof. Dr. Stephanie Reich is a Professor of Experimental Solid-State Physics at the Freie Universität Berlin, leading the AG Reich research group within the Department of Physics. Her research focuses on nanoscale materials and their light-matter interactions, particularly in plasmonic systems, carbon nanotubes (CNTs), graphene, and transition metal dichalcogenides (TMDs). She explores phenomena such as ultrafast relaxation dynamics, excitonic states, and nanoscale optoelectronic properties. Key areas include plasmon-enhanced spectroscopy, functionalization of nanomaterials, and applications in nanophotonics. Prof. Reich's work bridges fundamental physics with practical applications, utilizing advanced techniques like Raman spectroscopy and near-field microscopy. Affiliations: Freie Universität Berlin, Institute of Physics, AG Reich Lab Equipment: Tunable Raman spectroscopy, fluorescence spectrometers, near-field microscopy (s-SNOM), AFM systems Research Interests: Prof. Reich investigates optical properties of low-dimensional materials, plasmonic nanostructures, and functionalized nanotubes. Her studies address topics such as exciton-photon coupling in 2D materials, energy transfer mechanisms in hybrid systems, and the design of nanoscale optical devices. Recent work emphasizes applications in energy conversion, sensing, and super-resolution microscopy. Recent Trends in Publications: Her research highlights advancements in plasmonic supercrystals, THz-driven phonon dynamics in hybrid perovskites, and collective electronic states in nanotube systems. These studies underscore the interplay between material structure and optoelectronic behavior, with implications for next-generation photonic technologies.

Binyang HouView profile

Associate Professor

• Materials Science
• Condensed Matter Physics
• Surface and Interface Science
• +3 more

Dr. Binyang Hou is an Associate Professor of Physics in the Department of Chemistry and Physical Science at Muskingum University, part of the School of Natural and Social Sciences. He holds a Ph.D. in Physics from the University of Illinois at Chicago (UIC), an M.S. from UIC, and a B.S. in Materials Science from the University of Science and Technology of China (USTC). His research focuses on surface science, materials chemistry, and interfacial phenomena, with expertise in X-ray techniques and ionic liquid systems. His work includes studies on zirconia surfaces under extreme conditions, hydration structures at material-water interfaces, and high-pressure physics in materials like SnSe. He has conducted postdoctoral research at the Carnegie Institute’s High Pressure Collaborative Access Team and the Max Planck Institute for Polymer Research, among others. Key contributions span nanocomposite crystallization, ionic liquid ordering, and surface reactions in catalytic systems. Publications highlight advancements in vibrational spectroscopy, X-ray reflectivity, and interfacial electrochemistry. His research has implications for energy materials, corrosion science, and nanotechnology. Collaborations with institutions like Argonne National Laboratory and the European Synchrotron Radiation Facility underscore his interdisciplinary approach.

• Software Engineering
• Cybersecurity
• Data Science
• +3 more

David Lo is an OUB Chair Professor and Director at the Information Systems and Technology Cluster , School of Computing and Information Systems , Singapore Management University . His research spans the intersection of Software Engineering , Cybersecurity , and Data Science , focusing on improving software quality, security, and developer productivity through socio-technical analysis and artifact evaluation. He has over 15 international Scientific Awards , including ACM Fellow (2023), IEEE Fellow (2022), and ASE Fellow (2021). His work has been funded by NRF , MOE , NCR , and AI Singapore . David leads the Software Analytics Research (SOAR) group and has mentored numerous PhD students , many of whom hold faculty positions or work in tech giants like Microsoft. He actively engages in service , chairing conferences like ICSE 2025 and ESEC/FSE 2024 , and serves on editorial boards of journals such as IEEE Transactions on Software Engineering . His recent keynotes address critical topics like AI for safer systems and LLM applications in software architecture , reflecting his vision for integrating AI into software engineering practices.

Germà Garcia-BelmonteView profile

Professor

• Organic Electronics
• Photovoltaics
• Perovskite Solar Cells
• +3 more

Germà Garcia-Belmonte, Full Professor of Applied Physics at the Universitat Jaume I's Institute of Advanced Materials (INAM), specializes in device physics and electrochemistry of perovskite materials. His research focuses on ion migration, charge transport mechanisms, and impedance spectroscopy in metal halide perovskite solar cells and X-ray detectors. Key research areas: Organic Electronics, Photovoltaics, Electrochemical Kinetics Awards: 2018 Highly Cited Researcher (Clarivate), Top 2% Scientist (2019-2024, Stanford) Recent work examines ionic space-charge zones, dynamic doping effects, and long-term stability mechanisms in perovskites. His group applies numerical simulations and operando electrochemical characterization to advance solar cell and radiation detection technologies. Notable techniques: Intensity Modulated Photocurrent Spectroscopy (IMPS), Light Modulated Impedance Spectroscopy (LIMIS) Applications: High-resolution X-ray imaging, Lithium battery electrodes

• Semiconductor Device Simulation
• Nanoelectronics
• TCAD (Technology Computer-Aided Design)
• +3 more

Daniel Nagy is an Assistant Professor at the Department of Electronics and Computing within the Higher Polytechnic School of Engineering at the University of Seville. His research focuses on nanoelectronics, semiconductor device simulation, and TCAD technologies. He leads the ARQCOMP research group, specializing in computer architecture and novel transistor design. Education details are not explicitly provided in the texts, but his academic focus suggests advanced training in electronics engineering or related fields. His research interests include quantum transport phenomena, nanoscale device variability analysis, and computational modeling of FinFETs, nanowire FETs, and nanosheet transistors. He has extensively contributed to TCAD simulation frameworks such as NESS (Nano-Electronic Simulation Software), emphasizing open-source tools. Research Trends: His work emphasizes transistor scaling challenges for sub-2nm nodes, device variability mitigation, and the development of modular simulation tools. Key topics include nanosheet FET optimization, POM-based molecular memory systems, and benchmarking of emerging transistor architectures. His studies often bridge quantum mechanics (via Schrödinger equation modeling) with classical transport phenomena. No scientific awards are mentioned in the provided texts. He has advised no publicly listed PhD/Master’s students. His ARQCOMP group collaborates on next-generation electronic device architectures and simulation methodologies. Labs/Teams: The ARQCOMP group focuses on advancing computer architecture and nanoelectronic device simulation through interdisciplinary approaches, integrating computational physics, materials science, and electrical engineering.

Syeda Fizzah JilaniView profile

Lecturer

• Electromagnetics
• Radio Wave Propagation
• RF Spectrum Monitoring
• +7 more

Dr. Syeda Fizzah Jilani is a Lecturer in the Department of Physics at Aberystwyth University, UK, and a course coordinator for the MSc Radio Spectrum Engineering program. She holds a PhD in Antennas and Electromagnetics from Queen Mary University of London (2018) and previously worked on US DOE-funded research at the University of Maine. Her research focuses on advanced antenna systems, 5G/6G wireless technologies, millimeter-wave applications, and AI-driven environmental and medical imaging solutions. She has authored/co-authored over 50 papers, a book titled Antennas and Propagation for 5G and Beyond , and secured grants from L3Harris and QinetiQ. Key achievements include the 2024 Aberystwyth University Visibility Award and inclusion in the global '100 Brilliant and Inspiring Women in 6G' list. She leads projects on spectrum monitoring, reconfigurable antennas, and smart city applications, while actively supervising PhD students and contributing to IEEE and IET committees. Education: PhD in Electronic Engineering, Queen Mary University of London (2015–2018) Research Interests: Electromagnetics and Antenna Design Millimeter-Wave and Terahertz Systems Flexible Wearable Antennas Deep Learning in Remote Sensing and Medical Imaging 6G/5G Wireless Communication Networks Sustainable Transportation Solutions Recent Research Trends: Her work spans cutting-edge antenna technologies for 6G, AI-driven environmental monitoring (e.g., landslide detection, air quality analysis), and medical imaging advancements (e.g., breast lesion classification). Recent publications highlight innovations in reconfigurable phased arrays, liquid metal phase shifters, and explainable neural networks for healthcare. Awards and Grants: Principal Investigator: 3-year Serapis Project with QinetiQ/DSTL (£X) PI: L3Harris Technologies Grant (£Y) Featured in '100 Brilliant and Inspiring Women in 6G' (2024) Aberystwyth University Visibility Award (2024) Advising & Grants: Supervises PhD scholars and leads industry-academia collaborations. Projects include spectrum monitoring systems with the UK Spectrum Centre and smart city MIMO antenna arrays. Active in professional service as an IEEE AP-S Young Professional Ambassador and IET Antennas Technical Committee member. Labs/Teams: Works within the Department of Physics' Antennas and Propagation group, focusing on 6G infrastructure and wearable electronics research.

David W SnokeView profile

Professor

• Quantum Mechanics
• Condensed Matter Physics
• Bose-Einstein Condensation
• +6 more

David W. Snoke is a Distinguished Professor in the Department of Physics & Astronomy at the University of Pittsburgh’s Dietrich School of Arts and Sciences. His research focuses on quantum phenomena in semiconductor systems, particularly Bose-Einstein condensation of exciton-polaritons, nonlinear optics, and the interplay between quantum coherence and thermodynamics. He leads an experimental group employing ultrafast spectroscopy, interferometry, and advanced imaging techniques to study polariton condensates and novel material systems. He has contributed to foundational studies of polariton superfluidity, coherence dynamics, and light-induced superconductivity. His work bridges quantum mechanics and thermodynamics, addressing questions like the arrow of time and nonequilibrium phase transitions. Snoke is also an accomplished author and editor of textbooks and monographs on solid-state physics and quantum mechanics. Research Interests: Polariton condensates, quantum coherence, semiconductor optoelectronics, superconductivity, thermodynamic irreversibility Key Projects: Room-temperature polariton condensation, light-induced superconductivity, coherence in nonequilibrium systems His group’s experimental tools include femtosecond lasers, cryogenics, and advanced optical setups to probe nanoscale quantum systems. Snoke has advised graduate students like Jonathan Beaumariage and Qi Yao, and his work is supported by grants exploring fundamental physics and applied optoelectronics.

• Fluid Dynamics
• Biophysics
• Topological Transitions
• +3 more

Dr. Adriana Irma Pesci is a Research Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, where she has been since 2007. Previously, she served as a Senior Lecturer at the University of Arizona (2003–2007). Her research focuses on two interconnected areas: topological transitions in fluid dynamics and the application of fluid mechanics to biological systems. Her work on topological transitions includes studies of soap film dynamics, Plateau border reconnection, and minimal surface collapse. In biophysics, she investigates flows generated by swimming organisms and the mechanics of long thin filaments. Her key research contributions span topics such as the synchronization of flagellar motion in microorganisms, the dynamics of vortex sheets, and the interplay between elasticity and hydrodynamics. Pesci’s work is characterized by a blend of experimental, theoretical, and computational approaches, often with implications for both fundamental science and applied technologies like fog collection systems. Her publications highlight her expertise in fluid dynamics phenomena such as instabilities in stratified flows, topological constraints in dynamical systems, and the geometric properties of minimal surfaces. Pesci is affiliated with the Biological Physics and Mechanics research group at DAMTP and contributes to the broader fluid dynamics community through collaborative projects and academic leadership.

Clare McVeighView profile

Senior Lecturer

• Palliative Care
• Mindfulness Meditation
• Digital Educational Interventions
• +5 more

Dr. Clare McVeigh is a Senior Lecturer (Education) at the School of Nursing and Midwifery, Queen's University Belfast , focusing on palliative care, mindfulness meditation, and digital educational innovations. She contributes to interdisciplinary research initiatives including the Chronic Illness and Palliative Care Research Initiative . Accepting PhD students in palliative care and digital education Recipient of multiple awards including Associate Fellow of CESI and Martha McMenamin Scholarship Research Interests include: Palliative care for non-malignant diseases Mindfulness as a clinical wellbeing intervention Digital technology in nursing and medical education Recent Article Trends cover chronic kidney disease, pulmonary fibrosis, caregiver experiences, and digital learning platforms. Key collaborations span McGill University and Northern Ireland healthcare institutions. Scientific Awards 2019: Associate Fellow, CESI 2018: Seed Funding & Martha McMenamin Scholarship 2015: International Journal of Palliative Nursing Researcher of the Year 2014: Nurse Researcher of the Year finalist Advising : Supervised Kawthar Al Jabri (MSc Palliative Care, Saudi Arabia 2019-2020). Labs/Teams : Collaborates with Chronic Kidney Disease research groups and Medical Humanities networks.

Olivier ChadebecView profile

Research Professor

• Computational Electromagnetics
• Electrical Energy Conversion
• Numerical Modeling
• +6 more

Olivier Chadebec is a CNRS Research Director at G2Elab, the power electrical engineering research department of Université Grenoble Alpes in France. He leads the 'Models, Methods and Methodologies Applied to Electrical Engineering' research team (MAGE group) and the ERT-CMF (Low Magnetic Fields Technological Research Group) at G2Elab. He was involved in creating the International Laboratory 'James Clerk Maxwell' in collaboration with the University of Lyon and Brazilian universities. Chadebec received his engineer and Ph.D. degrees in Electrical Engineering from the Grenoble Institute of Technology in 1997 and 2001. After a post-doctorate with Schneider Electric, he joined CNRS in 2003 as a Research Associate. He received his 'Habilitation à Diriger les Recherches' in 2011 and became a Research Director in 2015. He also spent a year in 2012 as a research associate at the Federal University of Santa Catarina in Brazil. His research focuses on computational electromagnetics applied to electrical energy conversion, developing numerical models, algorithms, and simulation tools for electromagnetic device analysis. His key research areas include finite element methods, integral methods, inverse problems, and low magnetic field metrology. He actively contributes to the development of the MIPSE platform commercialized by Altair Engineering via Flux software. His recent publications (2023-2025) show a strong focus on advanced computational methods for electromagnetic problems, including multiscale modeling, tensor compression techniques, FEM-BEM coupling for magnetoelectric effects, and optimization algorithms for electrical machine design and fuel cell diagnostics. His work demonstrates a consistent progression toward more efficient computational approaches for complex electromagnetic problems. Chadebec has supervised over 30 PhD students since 2006, with thesis topics spanning computational electromagnetics, inverse problems, fuel cell diagnostics, and submarine magnetic signature analysis. His research has significant applications in electrical machine design, fuel cell technology, submarine degaussing, and electromagnetic compatibility. He leads the MAGE research team and the ERT-CMF (Low Magnetic Fields Technological Research Group) at G2Elab, and has been instrumental in developing the MIPSE simulation platform used in industry through collaboration with Altair Engineering.