Find Academic Supervisors

• Computational physiology
• Software testing, verification and validation
• Computational logic and formal languages
• +2 more

Dr. Weiwei Ai is a Research Fellow at the Auckland Bioengineering Institute , University of Auckland, New Zealand. With a multidisciplinary background in biomedical engineering and computational modeling, he focuses on developing energy-consistent physiological models and closed-loop validation frameworks for implantable medical devices. Education PhD in Bioengineering, University of Auckland (2019) Master of Engineering (ME) in Electrical Engineering, Beijing University of Technology (2005) BSc in Electronic Engineering, Qingdao University (2002) Dr. Ai's research centers on computational physiology and medical device validation , utilizing bond graph formalisms and hybrid automata to create thermodynamically consistent models for glucose transport, cardiac pacemakers, and gastrointestinal systems. His work bridges mathematical modeling with clinical applications through formal verification techniques. His recent publications highlight trends in closed-loop biomedical device design and energy-based physiological modeling , including: (1) bond graph models for SLC transporter dynamics, (2) adaptive respiratory pacemaker frameworks with biofeedback, (3) formal verification of cardiac devices using timed automata, and (4) compositional cyber-physical epidemiology models. He also explores AI-driven integration of digital twins in healthcare through FAIR data principles. Supervision Opportunities : Dr. Ai is an accredited PhD supervisor at the University of Auckland, offering projects on AI-driven energy-based platforms for credible digital twins in healthcare. Labs : Affiliated with the Auckland Bioengineering Institute, focusing on computational models and in-silico validation systems.

Cynthia F. MossView profile

Professor

• Sensory coding
• Auditory neuroscience
• Spatial perception
• +6 more

Cynthia F. Moss is a Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University (JHU), with joint appointments in Neuroscience and Mechanical Engineering. She directs the Comparative Neural Systems and Behavior Laboratory (Bat Lab), investigating neural mechanisms of sensory perception and spatial navigation in echolocating bats. Her work combines neurophysiology, behavioral ecology, and engineering to study how bats process auditory information for navigation, communication, and obstacle avoidance. Dr. Moss earned a B.S. (summa cum laude) from the University of Massachusetts, Amherst, and a Ph.D. from Brown University. She held prior faculty positions at Harvard University and the University of Maryland, where she directed the Neuroscience and Cognitive Science graduate program. Her research has received prestigious awards including the Hartmann Award (2017), James McKeen Cattell Award (2018), and Alexander von Humboldt Research Prize (2019). Her research focuses on sensory coding of natural stimuli, spatial perception, attention, and adaptive motor control. Key findings include discoveries about 3D auditory space representation in the midbrain, age-resistant hearing in bats, and the role of wing hairs in flight control. Her lab employs innovative techniques like wireless neural recording, two-photon imaging, and DREADDs-mediated inactivation to study neural circuits. Dr. Moss collaborates across disciplines, bridging neurobiology, robotics, and sensory systems engineering. Her work informs biomimetic technologies for sonar navigation and adaptive control systems. She actively mentors students and postdocs in the Krieger School of Arts and Sciences, Whiting School of Engineering, and School of Medicine at JHU.

• Sustainable Power Systems
• Smart Grids
• Energy Physics
• +4 more

Heidi Samuelsen Nygård is an Associate Professor in Energy Physics at the Department of Physics, Faculty of Natural Sciences and Technology, Norwegian University of Science and Technology (NTNU). She holds a PhD (2014) from the Norwegian University of Life Sciences (NMBU) on thermochemical biomass conversion in molten salts and has conducted postdoctoral research on CO2 capture in molten salts. Her research focuses on: Sustainable power systems and renewable energy integration Smart grids and power flexibility Molten salt technology for CO2 capture and energy applications Convection dynamics in porous media Recent publications highlight advancements in: Electric vehicle grid integration and demand flexibility Battery energy storage optimization Molten salt-based carbon capture systems Renewable energy forecasting algorithms She supervises master’s and PhD students in topics spanning grid frequency prediction, EV scheduling, thermal energy storage, and molten salt chemical processes.

Yan JieView profile

Professor

• Biophysics
• Molecular Biology
• Mechanobiology
• +3 more

Professor Yan Jie is a distinguished academic at the National University of Singapore, holding faculty positions at the Mechanobiology Institute and the Department of Physics. He also maintains an affiliation with the Centre for BioImaging Sciences under the Department of Biological Sciences. Professor, Mechanobiology Institute (MBI), NUS Professor, Department of Physics, NUS Professor, Centre for BioImaging Sciences, NUS Dr. Yan's research lies at the intersection of biophysics, molecular biology, and mechanobiology. His work focuses on understanding how mechanical constraints influence biomolecular stability, including: Force-dependent conformations and interactions of nucleic acids and proteins Mechanosensing at cell-ECM adhesion and cell-cell junctions Chaperone-mediated protein folding mechanisms Chromosome packaging and DNA damage repair dynamics His recent publications highlight advancements in: Mechanical stabilization of biomolecular complexes via energy landscape modeling Multi-domain interactions in cytoskeletal proteins Force-transducing mechanisms in bacterial membranes Calcium signaling in stem cell mechanical properties Dr. Yan has mentored a diverse team including PhD students Kayo Kumadaki, Lin Yueying, Guo Yanyu, Sun Yuze, Liu Jingzhun, Dasvit Shetty, and former student Pang Si Ming. His lab integrates single-molecule biophysical methods with theoretical modeling to explore mechanical regulation at the molecular and cellular level.

Ali NabaviView profile

Professor

• Carbon Capture and Storage
• Computational Fluid Dynamics
• Conventional & Advanced Fuels
• +2 more

Dr. Ali Nabavi is a Reader in Energy Systems and Head of the Centre for Energy Decarbonisation and Recovery at Cranfield University . He serves as Director of the Advanced Chemical Engineering Course and has made significant contributions to low-carbon energy systems through experimental and computational research. PhD in Energy (Cranfield, 2016) MSc in Thermal Power and Fluid Engineering (Manchester, 2012) Research Areas: Carbon capture, utilization, and storage (CCUS) Reversible solid oxide fuel cells Hydrogen purification technologies Process intensification for energy efficiency Microfluidic particle formulation Hydrogen social acceptance modeling Recent Publications: Focus on sorption-enhanced reforming, hydrogen social dynamics, and catalyst development for gas processing. His work spans experimental validation and computational modeling across multiple energy systems. Scientific Contributions: Development of novel adsorbents for CO2 capture and optimization of solid oxide fuel cell integration in transportation applications. Facilities: Utilizes Cranfield's High-Performance Computing (HPC) systems and advanced material synthesis labs with pilot-scale reactor infrastructure.

Christopher W. JonesView profile

Professor

• Catalysis
• Adsorption
• Materials Chemistry
• +6 more

Christopher W. Jones is a Professor and John F. Brock III School Chair in the Department of Chemical & Biomolecular Engineering at Georgia Institute of Technology. His research focuses on catalysis, separations, and materials chemistry, with a particular emphasis on CO 2 capture and conversion technologies. Education B.S.E. Chemical Engineering, University of Michigan, 1995 M.S. Chemical Engineering, California Institute of Technology, 1997 Ph.D. Chemical Engineering, California Institute of Technology, 1999 Jones's research explores heterogeneous and homogeneous catalysis, including supported organometallics, zeolites, and metal-organic frameworks (MOFs). His work addresses the interface of catalysis and separations, particularly in energy and environmental applications like direct air capture (DAC) and lignocellulose conversion to fuels and chemicals. His recent publications focus on CO 2 capture using amine-functionalized materials, zeolitic nanotubes, and polymer sorbents. Key areas include humidity effects on DAC, sorbent reactivation, and mechanochemical recycling of plastics. Scientific Awards CAREER Award, National Science Foundation, 2002 Faculty Career Initiation Award, Shell Oil Company Foundation, 2002 Sigma Xi Young Faculty Award, 2004 Dreyfus Foundation Fellowship, 2008 Paul H. Emmett Award, North American Catalysis Society, 2013

Jouni RitvanenView profile

Professor

• Gas-Solid Flow Modeling
• Fluidized Bed Reactors
• Carbon Capture and Storage
• +5 more

Jouni Ritvanen is a Full Professor (tenured) at LUT University's School of Energy Systems in Lappeenranta, Finland. His research focuses on gas-solid flow modeling, particularly fluidized bed applications and carbon capture technologies. He has developed a dynamic 1D tool suitable for fluidized bed applications that includes all key phenomena related to flow, reactions, and heat transfer, which has been widely applied to carbon capture and storage processes. His educational background includes: Doctor of Science (Technology) in Energy and Environmental Technology from Lappeenranta University of Technology (2006) Master of Science (Technology) in Energy from Lappeenranta University of Technology (2001) Title of docent in LUT Energy (2016-present) Ritvanen's research interests center around gas-solid flow modeling with particular emphasis on fluidized beds and related applications. His expertise includes developing dynamic modeling tools for fluidized bed applications that incorporate flow, reactions, and heat transfer phenomena. His work has significant applications in carbon capture and storage processes, where his models are used for performance evaluation. He also explores the integration of artificial intelligence techniques in energy systems optimization and has contributed to various aspects of clean energy technologies including chemical looping combustion and sorption-enhanced gasification. His recent publications (2023-2025) demonstrate a continued focus on advancing fluidized bed technologies, particularly in carbon capture applications through calcium looping processes. There's a notable trend toward integrating artificial intelligence methods with traditional engineering approaches, as seen in his work on deep learning-based electricity price forecasting and AI applications for reducing energy costs in carbon capture plants. His research bridges theoretical modeling with practical industrial applications, addressing key challenges in clean energy transition. Professor Ritvanen has served as a peer reviewer for numerous prestigious journals including Chemical Engineering Journal, Energy, Fuel, and Powder Technology, demonstrating his standing in the academic community.

Paul MillerView profile

Professor

• Computational Neuroscience
• Neuroscience
• Dynamical Systems
• +5 more

Paul Miller is a Professor of Biology at Brandeis University and a member of the Volen National Center for Complex Systems. His research focuses on computational neuroscience, integrating dynamical systems theory with experimental data to understand neural mechanisms underlying decision-making, memory, and sensory processing. He holds a Ph.D. from the University of Bristol (UK) and a B.A. from Cambridge University. Before joining Brandeis in 2000, he was at Georgetown University and conducted postdoctoral work in theoretical physics at Oak Ridge National Laboratory. Education: B.A., Cambridge University (1991) Ph.D., University of Bristol (1994) Research Interests: Computational Neuroscience emphasizes modeling neural circuits for short-term/long-term memory, decision-making processes, and the dynamics of neural ensemble activity. His work bridges theoretical approaches (e.g., hidden Markov modeling, spiking neuron networks) with experimental data from cortical and hippocampal systems. He explores how quasistable attractor states enable robust computation and how homeostatic mechanisms stabilize neural activity. Notable Contributions: Developed models explaining how integral feedback control enables robust sequential decision-making, elucidated synaptic mechanisms for spatiotemporal discrimination, and analyzed the role of calcium/calmodulin-dependent protein kinase II (CaMKII) in long-term memory stability. His textbook An Introductory Course in Computational Neuroscience (MIT Press) is widely used in graduate programs. Labs/Teams: Leads the Computational Neuroscience Lab at Brandeis, collaborating with experimentalists to validate theoretical models. Active in interdisciplinary projects involving neurophysiology, systems biology, and mathematical neuroscience.

Amber StublerView profile

Associate Professor

• Marine Biology
• Biological Oceanography
• Ecology
• +5 more

Amber Stubler is a full-time Associate Professor in the Department of Biology at Occidental College, with expertise in marine biology and biological oceanography. Her research focuses on how natural and anthropogenic stressors alter organism interactions and impact ecosystem functioning, particularly in kelp and coral reef environments. B.S. and Ph.D. in Biology from Stony Brook University Appointed: 2017 Office: MLZ 150D On sabbatical during Fall 2025 Email: astubler@oxy.edu | Phone: (323) 341-4125 Research Interests : Dr. Stubler investigates climate change impacts on biogenic habitat engineers, bioerosion-accretion balances in reefs, and sedimentation effects on Caribbean coral recruitment. Her work bridges marine community ecology with conservation strategies. Publication Trends : Recent articles emphasize bioeroding sponge-coral interactions under acidification, nutrient cycling dynamics, and habitat degradation mechanisms across tropical and temperate reefs. Her research spans experimental marine ecology, biogeochemistry, and conservation science.

• Chemical Reaction Engineering
• Thermal Science
• Carbon Capture and Storage
• +7 more

Dr. Mingming Zhu is a Reader in Chemical Engineering at Cranfield University and an Adjunct Research Fellow at The University of Western Australia. He holds a BEng in Thermal Engineering from the University of Science and Technology Beijing (2006), an MEng in Power Engineering and Engineering Thermophysics from Tsinghua University (2008), and a PhD in Chemical and Process Engineering from the University of Western Australia (2013). His research focuses on chemical reaction engineering, thermal science, and low-carbon energy systems, with expertise in high-temperature processes such as solid oxide electrolysis, hydrogen carriers (ammonia/methanol), biofuels, and catalytic combustion. Key areas include ammonia as a carbon-free fuel, biochar applications in energy systems, and CO₂ reduction technologies. Dr. Zhu has secured over £5 million in industry and competitive grants (e.g., UK EPSRC, Australian Research Council) and commercialized technologies like combustion catalysts and pyrolysis systems. His recent work emphasizes ammonia energy systems, bioenergy from agricultural waste, and advanced catalysis for fuel processing. He has published over 140 peer-reviewed papers (h-index 35) and actively supervises PhD/Master’s students in sustainable energy, catalysis, and combustion science.

• Fluid Mechanics
• Multiphase Flows
• Particle Technology
• +4 more

Dr. Elham Doroodchi is an Associate Professor in the School of Engineering at the University of Newcastle, specializing in Chemical Engineering. Her research focuses on fluid mechanics, multiphase systems, and energy technologies, with notable contributions to microfluidics and industrial applications. She has secured $2.9 million in research funding and published extensively in peer-reviewed journals and conferences. Education : PhD, University of Newcastle (2005) Bachelor of Engineering (Chemical Engineering), University of Newcastle (1st Class Honours) Research Interests : Dr. Doroodchi’s work spans fluidized bed hydrodynamics, particle technology, and energy systems such as geothermal power and waste heat recovery. Her recent studies include novel power cycles for geothermal energy and microfluidic applications in medicine and engineering. Grants & Awards : $2.9M total funding secured ARC College of Experts member (assesses Discovery Projects) Awards: Newcastle University Dean’s Medal (2000), Institution of Chemical Engineers Prize (2000), and National Award (2005) for the Reflux Classifier development Labs & Teams : Active in collaborative projects with Behdad Moghtaderi and others, focusing on energy storage, microreactors, and multiphase flow modeling.

• Solar Energy
• Thermal Energy Storage
• Thermochemical Energy Storage
• +5 more

Luís Filipe Moreira Mendes is an Assistant Professor at the Department of Physics, Instituto Superior Técnico (IST), Lisbon, Portugal. His research focuses on interdisciplinary physics with a strong emphasis on solar energy systems, thermal and thermochemical energy storage, and applied thermodynamics. He has contributed to advancing calcium-looping technologies for concentrated solar power plants and developed computational models for solar-driven reactors. His work bridges experimental and theoretical approaches in renewable energy systems. Teaching & Academic Roles: He teaches courses such as Solar Thermal Energy, Solar Photovoltaic Energy, and Energy Technologies at IST. His teaching evaluations (QUIC) in 2022-2023 showed high ratings (e.g., Solar Thermal Energy: 9/10). Research & Supervision: He supervises PhD and MSc theses in solar energy applications, including projects on calcium-looping reactors, concentrated solar thermal systems, and solar cavity absorbers. Notable supervisees include Filipe Alexandre Marques (PhD 2019) and ongoing work with Felisberto Camuege. Publications & Impact: Over 30 peer-reviewed articles span solar thermal systems, energy storage, and astrophysical detector design (e.g., the Mercedes Cherenkov detector). His 2023 work on calcium-looping optimization highlights advancements in thermochemical storage. Collaborations & Outreach: Active in the SWGO (Southern Hemisphere Wide-field Gamma-ray Observatory) collaboration and authored educational books like *Physics in Everyday Life at School* (2014). Holds patent PT103112 for an absorption machine with steam refining innovations.

Patrik YrjasView profile

Researcher

• High-Temperature Corrosion
• Biomass Combustion
• Fluidized Bed Technology
• +3 more

Patrik Yrjas is a Senior Researcher at the Faculty of Science and Engineering , Åbo Akademi University , affiliated with the Laboratory of Molecular Science and Engineering Technologies for a Sustainable Future . His work focuses on high-temperature corrosion, biomass combustion, and ash behavior in thermal systems. Research Interests: High-Temperature Corrosion Biomass and Waste Combustion Fluidized Bed Technology Ash Melting and Agglomeration Chemical Looping Combustion Key Article Trends: His recent publications (2024–2023) address pyrolysis of biomass, cold-end corrosion from ammonium chloride, and molten phase effects in superheater corrosion. Earlier works (2022–2015) explore ash melting, coating durability, and alkali chloride impacts using thermal analysis and microscopy. Projects: 2021–2023: Investigated chemical looping combustion and boiler corrosion. 2023: Analyzed fluidized bed agglomeration. Contact: Email: patrik.yrjas@abo.fi Phone: +358-469219021

• Neural Engineering
• Neuromuscular Systems
• Electromyography
• +4 more

Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .

Paul R. AdamsView profile

Professor

• Computational Neuroscience
• Theoretical Neuroscience
• Synaptic Plasticity
• +3 more

Paul R. Adams is a Professor in the Department of Neurobiology and Behavior at Stony Brook University's Renaissance School of Medicine. He joined Stony Brook in 1981 as an Associate Professor and was promoted to Professor in 1984, following prior faculty service at the University of Texas (1977-1981). His educational background includes a B.A. in Physiology and Pharmacology from Cambridge University (1968) and a Ph.D. in Pharmacology from London University (1974). Professor Adams' research centers on computational neuroscience , investigating how synaptic modifications underlying learning are compromised by crosstalk between densely packed synapses. His pioneering Synaptic Darwinism theory proposes evolutionary mechanisms for cortical learning, including "Hebbian proofreading" where layer 6 neurons detect and correct learning errors. He further explores how inter-brain communication networks overcome individual learning failures through information sharing. His publication trajectory reveals consistent focus on mathematical modeling of neural plasticity, evolving from foundational Synaptic Darwinism concepts (1997-2002) to recent work on crosstalk minimization (2013-2014). Key themes include Hebbian learning constraints, cortical circuitry reinterpretation, and theoretical solutions to neural network limitations. Notable honors include the MacArthur Foundation Prize (1986), election as Fellow of the Royal Society (1991), and Howard Hughes Medical Institute Investigatorship (1987-1995). Professor Adams leads theoretical neuroscience research through the Kalypso Mind/Brain Center, collaborating with Research Assistant Professor Kingsley Cox. His HHMI-funded work has influenced understanding of cortical function relevant to autism, schizophrenia, and epilepsy. He serves on editorial boards including Frontiers in Neural Circuits . The Synaptic Darwinism project maintains active investigation into cerebral cortex principles, exploring implications for both neurological disorders and fundamental questions about consciousness.