Find Academic Supervisors

Adele Lichtenberger IgelView profile

Professor

• Cloud Physics
• Aerosol-Cloud Interactions
• Atmospheric Modeling
• +5 more

Adele Lichtenberger Igel is a Professor in the Department of Land, Air, and Water Resources at the University of California, Davis. She leads the Cloud Physics Group, focusing on cloud processes, aerosol-cloud interactions, and microphysics parameterization in atmospheric models. Her research integrates modeling, observations, and theory to understand cloud properties, precipitation formation, and climate feedbacks. Affiliations: Cloud Physics Group, UC Davis; Atmospheric Science Graduate Group. Teaching: Courses include ATM5 (Global Climate Change), ATM128 (Radiation and Satellite Meteorology), and ATM244 (Cloud and Precipitation Physics). Research interests span aerosol effects on cloud dynamics, bulk microphysics scheme development, Arctic mixed-phase clouds, and convective systems. Notable contributions include advancing unified liquid water category bulk schemes and investigating ice habit impacts on precipitation. Her work addresses model uncertainties through comparisons of bin and bulk schemes, and she leads field projects analyzing fog, marine aerosols, and orographic snowfall. Recent publications highlight aerosol-cloud interactions in stratocumulus systems, Arctic cloud sustenance via free-tropospheric aerosols, and limitations of traditional microphysics categorizations. Awards include runner-up recognition for opinion work on convective invigoration and student mentorship accolades. Key collaborations involve DOE ASR-funded projects on convective invigoration and Arctic cloud processes. Her group actively trains graduate students (e.g., Nathan Pope, Lucas Sterzinger) and undergraduates (e.g., Abbey Williams) in cloud physics and computational modeling, with outputs including over 50 peer-reviewed articles and modeling tools like the AMP scheme.

Masamitsu KanadaView profile

Assistant Professor

• Extracellular Vesicles (EVs) Engineering
• Drug Delivery Systems
• Cancer Biology
• +3 more

Masamitsu Kanada, PhD, is an Assistant Professor in the Department of Pharmacology & Toxicology at Michigan State University's College of Human Medicine. His research focuses on engineering extracellular vesicles (EVs) for targeted drug/gene delivery and understanding EV-mediated intercellular communication in diseases like cancer. He holds a PhD in Cell Biology from the University of Tsukuba and completed postdoctoral training at Stanford University School of Medicine. Education: Postdoctoral Fellow, Pediatrics, Stanford University School of Medicine (2012–2017) PhD in Cell Biology, University of Tsukuba (2003–2008) BSc in Biochemical Engineering, Tohoku University (1999–2003) Research Interests: Dr. Kanada's work combines molecular biology, live-cell imaging, and drug screening to develop novel EV-based therapies. Key areas include: EV engineering for cancer immunotherapy Biomarker discovery via phosphatidylserine-exposing EVs 3D tumor microenvironment modeling CRISPR delivery using non-viral vectors Funding: Active grant: Ultrasound-assisted extracellular vesicle engineering and induced release (EVEiR) funded by the National Institute of Biomedical Imaging and Bioengineering (2022–2025). Teaching: Teaches PHM 802 Cellular, Molecular and Integrated Systems Pharmacology and PHM 816 Integrative Toxicology . Courses emphasize translational applications of pharmacology and toxicology principles. Labs/Teams: Leads interdisciplinary research integrating bioengineering, molecular biology, and clinical translation to advance EV-based diagnostics and therapies.

Owen BentonView profile

Lecturer

• Condensed Matter Physics
• Theoretical Physics
• Quantum Magnetism
• +3 more

Dr. Owen Benton is a Lecturer in Computational Condensed Matter at Queen Mary University of London, affiliated with the School of Physical and Chemical Sciences. His research focuses on frustrated quantum systems, particularly quantum spin liquids and their experimental signatures. He holds academic positions at the Centre for Chemical Research and the Centre for Experimental and Applied Physics. Education and Career: B.Sc./M.Sc. from University of Warwick and University of Bristol Research roles at Okinawa Institute of Science and Technology (Japan), RIKEN (Japan), and Max Planck Institute for the Physics of Complex Systems (Germany) Research Interests: Condensed Matter Physics, Theoretical Physics, Quantum Magnetism, Spin Liquids, Frustrated Systems. His work explores phenomena arising from many-body interactions, such as quantum entanglement in spin liquids and phase competition in frustrated magnets. Teaching: CHE 209: Introductory Programming for Chemists CHE 709P: Introductory Programming for Drug Discovery Research Contributions: His recent publications analyze quantum spin ice, dipolar-octupolar systems, and fracton spin liquids. Collaborations include experimental groups using neutron scattering and spectroscopic techniques.

Fatemeh Khalili-AraghiView profile

Associate Professor

• Computational Biophysics
• Membrane Proteins
• Ion Channels
• +2 more

Fatemeh Khalili-Araghi serves as an Associate Professor in the Department of Physics at the University of Illinois at Chicago (UIC), where she leads computational research on membrane protein dynamics and ion channel mechanisms. Her work bridges theoretical physics and biological applications through advanced molecular modeling techniques. Dr. Khalili-Araghi's academic foundation includes: B.S. in Physics from Sharif University of Technology, Tehran, Iran (2001) Ph.D. in Physics from the University of Illinois at Urbana-Champaign (2010) Following her doctoral studies, she completed a postdoctoral fellowship at the University of Chicago (2010-2013) focusing on NaK ATPase simulations. Her research specializes in molecular dynamics investigations of claudin-15 channel selectivity, strand flexibility, and pore architecture, with recent expansion into energy materials including lithium-oxygen batteries and ionic liquid electrolytes. Current projects employ computational approaches to resolve ion conduction mechanisms and phase separation phenomena at molecular scales. Analysis of her 2017-2025 publications reveals consistent leadership in computational biophysics of membrane proteins, particularly claudin channels, while increasingly addressing energy storage challenges. Her work demonstrates sophisticated integration of molecular dynamics with thermodynamic and kinetic analyses across biological and materials systems, yielding high-impact insights published in journals like Nature and Journal of General Physiology. No scientific awards were documented in available sources. Information regarding student advising and research grants was not specified in source materials. Dr. Khalili-Araghi directs the Fatemeh Khalili Research Group at UIC, maintaining active collaborations in computational biophysics and materials science through advanced simulation methodologies.

Valeri GoncharovView profile

Assistant Professor

• Plasma Physics
• Hydrodynamic Instabilities
• Computational Physics
• +2 more

Dr. Valeri Goncharov is an Assistant Professor (Research) in Mechanical Engineering at the University of Rochester and Senior Scientist at the Laboratory for Laser Energetics. His research focuses on computational physics and hydrodynamic instabilities in inertial confinement fusion (ICF), with expertise in laser-plasma interactions, implosion dynamics, and plasma diagnostics. His analytical models of Rayleigh-Taylor instability have advanced understanding of fusion target performance. Dr. Goncharov's publications address critical challenges in direct-drive ICF, including target design optimization, laser-energy coupling efficiency, and mitigation of hydrodynamic instabilities. Recent work employs advanced statistical modeling and first-principles simulations to predict fusion yields and improve equation-of-state tables for deuterium.

• Condensed Matter Physics
• Quantum Transport
• Superconductivity
• +5 more

Asle Sudbø is a Professor and Center Director of the SFF QuSpin at the Norwegian University of Science and Technology (NTNU), Faculty of Natural Sciences, Department of Physics. He holds a PhD from Brown University (1990). His research focuses on quantum phenomena in condensed matter systems, including superconductivity, quantum criticality, topological materials, and strongly correlated systems. He has advised numerous PhD students and contributes to cutting-edge theoretical studies of low-dimensional systems and topological phases. His work integrates advanced computational methods and explores systems like graphene, topological insulators, and Bose-Einstein condensates. Education: PhD in Physics, Brown University, 1990 Research Interests: Condensed matter physics at quantum regime Quantum transport of spin/charge Topological superconductivity and phase transitions Unconventional superconductors (graphene, pnictides) Bose-Einstein condensates and superfluids Quantum critical phenomena and Monte-Carlo simulations Publications Trends: Recent work emphasizes topological effects in superconductors, magnon-mediated mechanisms, and quantum criticality in 2D systems. Key themes include breaking symmetry limits in superconductors and exploring topological signatures in magnetic heterostructures. Grants & Labs: Leads the QuSpin Center (SFF), focusing on quantum spin systems. Collaborates extensively on projects involving topological materials and low-temperature physics.

• Soft Materials
• Biological Materials
• Neutron Scattering
• +4 more

Jan Swenson is a researcher at Chalmers University of Technology, where she earned her PhD in Physics in 1996. Her research focuses on soft materials, particularly the role of water in biological systems and supercooled water dynamics. She employs neutron scattering and molecular dynamics simulations to study protein aggregation (e.g., Alzheimer's and Huntington's diseases), lipid nanoparticles for RNA delivery, and sugar-protein interactions. Her work bridges physics, chemistry, and biomedicine, aiming to develop novel materials for medical applications and energy storage. Education: PhD in Physics, Chalmers University of Technology (1996) Postdoctoral Research, University College London, UK (structure/stability of clay gels) Research Interests: Soft materials, biological materials' hydration, neutron scattering analysis, supercooled water properties, and protein stabilization via sugars. Her recent projects include modeling material dynamics using computer simulations and optimizing lipid nanoparticles for therapeutic RNA delivery. Grants & Collaborations: Works with colleagues to develop new data analysis methods for neutron scattering. Active in interdisciplinary projects involving drug delivery systems and materials science. Labs/Teams: Part of Chalmers' research groups focused on biomaterials and energy materials, contributing to structural battery electrolyte development.

• Immunology
• Cellular Immunity
• B Cell and Antibody Responses
• +18 more

Philip Askenase is Professor of Medicine in the Department of Internal Medicine at Yale School of Medicine, with a focus on Immunology. He is affiliated with the Cancer Immunology program, the Center for Brain & Mind Health, and the Center for RNA Science and Medicine at Yale. Research Interests: Immunochemistry and cellular immunity B-1 B cell functions in T cell immunity Regulatory T cells and antigen-specific suppression Exosome-mediated transfer of miRNA (e.g., miRNA-150) in immune regulation Applications in allergy, autoimmunity, cancer, and spinal cord injury Development of exosome-based diagnostics (liquid biopsy) and therapeutics His recent publications highlight the role of extracellular vesicles in psychiatric conditions, pandemic prevention through chromatin vaccines, and systems vaccinology in HIV. These works reveal a strong trend toward interdisciplinary research bridging immunology, neuroscience, and regenerative medicine, with a focus on novel therapeutic delivery systems using exosomes. Scientific Awards: Legends of Allergy and Immunology (Wiley Online Library, 2023) Dr. Askenase has mentored numerous researchers and collaborators, though specific student names are not listed. His work has been supported by extensive research funding, particularly in immunology and exosome biology. He has contributed to major advances in understanding exosome carrier effects and their resistance to phagolysosomal digestion, which enhances targeted delivery. He is a key member of collaborative teams including the Yale Center for RNA Science and Medicine and the Cancer Immunology initiative. His lab investigates how exosomes from mesenchymal stem cells promote functional recovery in spinal cord injury through modulation of macrophage phenotypes and microvascular stabilization.

Archibong Eso ArchibongView profile

Associate Professor

• Multiphase Flow
• Fluid Dynamics
• Low-Carbon Energy Systems
• +15 more

Dr. Archibong Eso Archibong is an Associate Professor in Mechanical Engineering and serves as the Programme Director for Mechanical Engineering and Academic Lead for Engineering Labs & Workshops at the University of Birmingham Dubai Campus. He is affiliated with the School of Engineering and the Department of Mechanical Engineering, contributing to both academic leadership and research innovation. Education: PGCert in Higher Education, University of Birmingham (UK), 2021 PhD in Energy Engineering (Multiphase Flows), Cranfield University (UK), 2015 MSc in Process Systems Engineering, Cranfield University (UK), 2011 BEng (Hons) in Mechanical Engineering, Cross River University of Technology (Nigeria), 2008 Archibong's research focuses on multiphase flow systems with applications in low-carbon energy, carbon removal (including Direct Air and Ocean Capture), industrial processes, and biomedical engineering. His work integrates computational modeling, experimental analysis, and economic assessment to develop sustainable solutions. Key areas include hydrogen production, hybrid energy cycles, microbial fuel cells, and fluid-structure interaction in heart valves. He also contributes to STEAM pedagogy, digital education, and curriculum design for underserved communities. The recent publications reflect a strong trend in energy sustainability, with a focus on thermodynamic efficiency, multiphase flow modeling, and clean energy integration. Articles span biomedical applications of fluid dynamics, hydrogen safety in nuclear systems, and machine learning for energy prediction in buildings, showcasing a multidisciplinary approach to engineering challenges. Scientific Awards and Honors: Senior Fellow (SFHEA), Higher Education Academy (Advance HE), 2022 Fellow (FIMechE), Institution of Mechanical Engineers, 2022 Chartered Engineer, Engineering Council (UK), 2021 MIT ETT Fellowship supported by TotalEnergies, 2019 Cranfield University/HEFCE Doctoral Studentship (2012–2015) Archibong actively advises on energy policy and delivers workshops in lean-resource settings. He has served as a grant reviewer for the British Council and sits on the Topical Advisory Board for Fluids . He is involved in UAE national initiatives on hydrogen development and waste-to-energy projects. He mentors prospective MRes and PhD researchers and collaborates with industry partners such as BP, Schlumberger, and TotalEnergies. His leadership extends to curriculum development for non-profits and humanitarian agencies aligned with the UN Sustainable Development Goals. He leads research in fluids and multiphase systems, with active projects on electrochemical hydrogen production, hybrid energy cycles, and Direct Air Capture technologies. His team employs advanced modeling and experimental techniques to address global challenges in energy, environment, and healthcare.

• Biomarker Discovery
• Cancer Genomics
• Bioinformatics
• +12 more

George Vasmatzis, Ph.D., is an Associate Professor in the Department of Molecular Medicine at Mayo Clinic, Rochester, and holds a joint appointment in Cancer Biology within the Department of Quantitative Health Sciences. He serves as co-director of the Biomarker Discovery Program in the Center for Individualized Medicine, where he leads a multidisciplinary research team integrating bioinformatics, molecular biology, and computational genomics to advance cancer diagnostics and personalized treatment. Education: Ph.D. in Biomedical Engineering, Boston University M.S. in Electrical Engineering, Purdue University B.S. in Electrical Engineering, Texas Tech University Postdoctoral Research Fellowship, Laboratory of Molecular Biology, National Cancer Institute, NIH Postdoctoral Research Associate, Boston University Research Interests: Dr. Vasmatzis specializes in biomarker discovery for cancer diagnosis, focusing on large genomic alterations such as breakpoints, rearrangements, and copy-number variations. His work addresses lineage relationships in cancer progression, genomic changes distinguishing indolent from aggressive tumors, viral integration sites, and targetable genomic alterations. He employs next-generation sequencing and computational models to enable non-invasive cancer monitoring via liquid biopsy. A significant focus is on allelic dependence and phasing of mutations to understand functional impacts. Publication Trends: His recent publications reflect a strong emphasis on translational genomics, leveraging cutting-edge technologies like nanopore sequencing and 3D tumor models. Research spans oncology, bioinformatics, immunology, and nanotechnology, with applications in early detection, therapy monitoring, and precision medicine. Key journals include Genome Biology , Cancer Genetics , and Frontiers in Immunology . Scientific Awards: Innovation Accelerator Award, Mayo Clinic, 2023 Member, NCI Special Emphasis Panels (2008–2010) Participant, NCI Early Detection Research Network, 2008 Member, National Biospecimen Network Informatics Task Force, 2005–2007 Grants & Advising: Dr. Vasmatzis has served as Principal Investigator on NIH-funded projects, including the NCI-funded 'CORE--GENE DISCOVERY BIOINFORMATICS' and co-PI on the SPORE in Prostate Cancer. He mentors a research team of bioinformaticians, molecular biologists, and pathologists. While specific student names are not listed, his lab actively trains researchers in computational and molecular genomics. Laboratories & Collaborations: His lab is embedded within the Center for Individualized Medicine and collaborates extensively with Rashid Bashir, Ph.D., at the University of Illinois at Urbana-Champaign, on nanopore-based DNA detection technologies. This work has potential for stool-based early colon cancer detection. He is also involved in Mayo Clinic’s Cancer Biomedical Informatics Grid and multiple institutional research committees.

Massimo RobionyView profile

Professor

• Maxillofacial Surgery
• Head and Neck Surgery
• Virtual Surgical Planning
• +3 more

Massimo Robiony is a Full Professor at the University of Udine, affiliated with the DAME Department of Medical Area. As Director of the Maxillofacial Surgery Clinic, School of Specialization in Maxillofacial Surgery, and Level II Master's Degree in Health and Humanization, he leads multidisciplinary initiatives in surgical innovation. His research spans 3D printing, virtual surgical planning, robotic surgery, and AI applications in craniofacial medicine. Academic Leadership: Director roles in clinical, specialization, and master's programs. Research Focus: 3D printing, AI diagnostics, and robotic surgery for maxillofacial pathologies. Email: massimo.robiony@uniud.it Recent publications emphasize AI-driven image processing, bioprinting, and augmented reality in surgical oncology. His work highlights the integration of virtual planning and 3D printing for trauma management, alongside advancements in robotic and transoral techniques for orbital and craniofacial disorders.

• High-Frequency and Algorithmic Trading
• Stochastic Games between Takers and Makers of Liquidity
• Mathematical Finance
• +2 more

Prof. Leandro Sanchez Betancourt is a faculty member at the University of Oxford , affiliated with the Mathematical Institute . His work bridges Mathematical Finance and Stochastic Games , with a focus on high-frequency trading and market microstructure. He has been recognized with prestigious awards, including the Bruti Liberati Prize for Quantitative Finance research and the Gabino Barreda medal from UNAM. Education Doctor of Philosophy (DPhil) Master of Science (MSc) Bachelor of Science (BSc) Research Contributions Prof. Sanchez Betancourt’s research addresses critical challenges in algorithmic trading , latency impacts , and toxic order flow . His recent publications explore Nash Equilibrium in broker-trader dynamics, Mean Field Games for informed trading, and innovative applications of Lévy-Ito Processes and Quantum Measurement in financial modeling. These works highlight his expertise in integrating advanced mathematics with real-world trading strategies. Scientific Awards Bruti Liberati Prize for best PhD thesis in Quantitative Finance Best overall performance student award from King’s College London Gabino Barreda medal from Universidad Nacional Autónoma de México Labs and Teams He is a member of the Mathematical and Computational Finance research group at the University of Oxford, collaborating with leading experts like Álvaro Cartea, Sebastian Jaimungal, and others.

• Biophysics
• Computational Cell Biology
• Mesoscale Simulations
• +3 more

Julian Charles Shillcock is a Lecturer and computational modeling specialist at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Life Sciences and the Lashuel Lab. He also serves as a Scientist in the UPDALPE group (Prof. Dal Peraro Group) and teaches in EPFL’s SSV (Teaching) and EDNE (Doctoral Education) sections. His work bridges biophysics, computational modeling, and cellular dynamics. PhD in Physics from Simon Fraser University (1996) Group Leader at Max Planck Institute of Colloids and Interfaces (2000-2005) Associate Professor at University of Southern Denmark (2005-2011) Blue Brain Project member since 2011 Shillcock’s research focuses on biomolecular condensates , membrane dynamics , and computational cell biology . He develops mesoscale simulation methods like Dissipative Particle Dynamics to study vesicle fusion , neuronal morphology , and neurodegenerative disease mechanisms . Recent work includes POETS computing platforms for accelerating simulations and Shiga toxin clustering on membranes. His publications (2022-2024) reveal trends in soft matter physics , computational neuroscience , and biomolecular condensate structure . Key collaborations include Imperial College London and University of Southampton on the POETS project. Scientific recognition includes: 2021 Polysphère prize for Best Teacher in Life Sciences He has advised PhD student Lida Kanari in computational morphology and contributed to neocortical microcircuit reconstruction . His research spans computational biophysics , toxin entry mechanisms , and novel computational platforms for life sciences education.

John S. BigginsView profile

Professor

• Soft Matter Engineering
• Theoretical Physics
• Liquid Crystal Elastomers
• +6 more

John S. Biggins is a Professor of Soft Matter Engineering at the University of Cambridge Engineering Department and a Fellow of Corpus Christi College. He leads the Soft Mechanics Group, focusing on theoretical and experimental studies of soft solids like liquid crystal elastomers (LCEs), which mimic artificial muscles. His UKRI Future Leaders Fellowship supports research into LCEs as programmable materials for soft robotics and biomedical applications. He has affiliations with Cambridge's Theory of Condensed Matter (TCM) group and collaborations with Harvard and Caltech. PhD in Theoretical Physics (2007-2010), supervised by Mark Warner MSci and BA in Natural Sciences (Theoretical Physics), top of cohort 1851 Royal Commission Fellowship (2010-2012) at Harvard His research spans soft matter , elastic instabilities , and active materials . Key themes include: Shape-programmable LCEs for soft robotics Buckling, wrinkling, and snapping in soft solids Brain folding mechanics via cortical expansion Chain fountain and viral physics phenomena The 15 most recent articles reflect interdisciplinary trends in soft robotics , nanoplasmonics , and topological actuation . His work combines continuum mechanics , geometry , and experimental validation . Scientific awards include: 1851 Royal Commission Research Fellowship UKRI Future Leaders Fellowship Fellowships at Trinity Hall and Corpus Christi College He mentors PhD students in soft mechanics and has secured grants from UKRI , EPSRC , and the European Research Council . His group collaborates with experimentalists across institutions to bridge theory and real-world applications.

Christian KundeView profile

Researcher

• Process Optimization
• Global Optimization
• Surrogate Modeling
• +5 more

Dr.-Ing. Christian Kunde is a PostDoc researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in the Process Synthesis and Process Dynamics group since 2021. Previously, he served as a PostDoc at the Chair for Automation/Modeling at Otto-von-Guericke University (OVGU) from 2017-2021, and as a Research Assistant and PhD Student at the same institution from 2009-2017. His educational background includes a Diploma in Systems Engineering and Engineering Cybernetics from OVGU (2004-2009) and a PhD dissertation titled "Global optimization in conceptual process design" completed in 2017. His formal engineering doctorate (Dr.-Ing.) reflects his specialized expertise in process systems engineering. Kunde's research focuses on physics- and data-based hybrid modeling for process optimization and state estimation, with particular emphasis on global optimization techniques and surrogate modeling. His work bridges theoretical computational methods with practical chemical engineering applications, addressing challenges in distillation, crystallization, and fuel cell systems. He has developed innovative approaches combining first-principles models with machine learning for improved process design and control. His publication record demonstrates consistent contributions to chemical process optimization, with recent work expanding into machine learning applications for Power-to-X processes and fuel cell modeling. The research shows a clear trajectory from fundamental optimization methods toward increasingly complex hybrid modeling approaches that integrate physics-based and data-driven techniques. Kunde actively contributes to academic knowledge dissemination through teaching, having instructed courses including Distributed Parameter Systems, State Estimation, and Systems and Control. His teaching portfolio reflects his research expertise in process dynamics and control systems, providing students with both theoretical foundations and practical applications in modern process engineering.