Find Academic Supervisors

• Epilepsy
• Drug-Resistant Epilepsy
• Epilepsy Surgery
• +3 more

Juan Luis Alcala Zermeno, MD, serves as an Assistant Professor of Neurology at Columbia University Medical Center, specializing in drug-resistant epilepsy and surgical interventions. A native Spanish speaker, he practices at the Neurological Institute of New York and Columbus Circle locations, offering virtual visits for new patients with expertise in EEG interpretation and seizure disorder management. His educational journey includes: MD from Universidad de Guadalajara (2017) with Dean's Mention of Outstanding Academic Performance Internal Medicine Internship at Mayo Clinic (2019) Adult Neurology Residency at Mayo Clinic (2022) Clinical Neurophysiology Fellowship at Thomas Jefferson University (2023) Epilepsy Fellowship at Thomas Jefferson University (2024) Dr. Alcala's research centers on epilepsy surgery outcomes for drug-resistant cases unsuitable for resection, with particular focus on racial and socioeconomic barriers limiting access to these life-changing procedures. He employs mixed-methods approaches combining quantitative surgical outcome analysis with qualitative exploration of systemic healthcare disparities, aiming to develop equitable pathways to epilepsy surgery. His publication record (2018-2025) reveals evolving expertise from HIV comorbidity research to cutting-edge epilepsy neuromodulation studies. Recent work examines responsive neurostimulation, invasive device utilization disparities, and surgical prediction tools, demonstrating both clinical neurophysiology depth and health services research innovation. Professional recognition includes: Young Investigator Award from the American Epilepsy Society (2023) While specific grant funding isn't detailed in available sources, his research trajectory indicates active investigation into healthcare access barriers and surgical outcome optimization. His clinical practice at Columbia's Neurological Institute positions him at the forefront of translating research into improved epilepsy care pathways.

• Hydropower Turbines
• Cavitation Modeling
• Computational Fluid Dynamics (CFD)
• +7 more

Håkan Nilsson is a Full Professor in Fluid Dynamics at Chalmers University of Technology. His research focuses on computational fluid dynamics (CFD) with applications in hydropower systems, particularly turbine flow analysis, cavitation modeling, and generator cooling air dynamics. He utilizes OpenFOAM for numerical simulations and develops advanced algorithms for mesh deformation and flow control. Academic Rank: Full Professor Institution: Chalmers University of Technology Primary Research: Hydropower Turbines, Cavitation, CFD, Machine Learning, Multiphase Flow His recent work integrates machine learning with CFD for optimizing turbine operations and predictive maintenance in hydropower plants. Key projects include ALPHEUS and investigations into contra-rotating pump-turbine systems for low-head energy storage. Collaborations span experimental validation with experts in PIV, laser Doppler velocimetry, and industrial partners in renewable energy. Research trends highlight 15+ years of publications on turbulence modeling, vortex dynamics, and fluid-structure interaction in hydraulic systems. Sub-fields include Francis turbine transients, Kaplan turbine rotor-stator interactions, and applications in biomedical fluid dynamics and welding processes. Scientific awards are not explicitly mentioned.

Sanjeevikumar PadmanabanView profile

Professor

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +7 more

Sanjeevikumar Padmanaban is a Full Professor in Electrical Power Engineering at the Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, within the Faculty of Technology, Natural Sciences and Maritime Sciences at the Porsgrunn campus. He also serves as a Visiting Professor at Universiti Tenaga Nasional, Malaysia (2023-2025) and as Project Head at Ohm Technologiees R&D in India. Professor Padmanaban is a Distinguished Lecturer of the IEEE Systems Council on Power Electronics in Renewable Energy System & Electric Vehicles and a Senior Member of IEEE since 2015. Professor Padmanaban's research focuses on Power Electronics Applications to Smart Energy Systems, particularly Renewable Energy Integration (Wind Energy, Photovoltaics, Fuel Cell), Electric Vehicle Applications and Control Schemes, Battery Management Systems, and the design of conventional and multilevel inverters. His work spans from theoretical development to practical implementation of power electronic converters for renewable energy systems and electric vehicle applications. He has made significant contributions to multiphase AC drives, space vector techniques for modeling, and switching loss reduction methods in power converters. With over 1,160 publications and nearly 1 million reads on ResearchGate, Professor Padmanaban demonstrates exceptional research productivity and impact. His recent work shows a strong emphasis on renewable energy integration, electric vehicle charging systems, smart grid technologies, and advanced control strategies for power systems. The publications reflect a consistent focus on practical solutions for energy challenges, with particular attention to photovoltaic systems, wireless power transfer, and microgrid control under high renewable penetration. Fellow of the Institution of Engineers, India (FIE) Fellow of the Institution of Electronics and Telecommunication Engineers, India (FIETE) Fellow of the Institution of Engineering and Technology, U.K. (FIET) Lifetime achievement award from Marquis Who's Who - USA 2017 Multiple best paper awards from IET and IEEE conferences Listed among the world's top 2% scientists by Stanford University since 2019 Professor Padmanaban actively supervises Master's thesis projects on Power Electronics, renewable energy systems, and their applications to Electric Vehicles and Grid Connected Systems. His extensive editorial work, including roles with IEEE Transactions on Industry Applications and other prestigious journals, demonstrates his leadership in the field. His research has significant practical applications in renewable energy integration, electric vehicle technology, and smart grid development, addressing critical challenges in the global transition to sustainable energy systems.

• Astrophysics
• Exoplanets
• Machine Learning
• +5 more

Dr. Benjamin Pope is an Honorary Associate Professor at the University of Queensland's School of Mathematics and Physics. His affiliations include the Research Centre in Creative Arts and Human Flourishing at UQ and a former NASA Sagan Fellowship at NYU. He holds a DPhil from the University of Oxford and an MSc/BSc from the University of Sydney. His research spans exoplanet detection , JWST instrumentation , radio astronomy , and computational astrophysics . Key areas include: Differentiable modeling for exoplanet transit analysis Low-frequency radio signatures of star-planet interactions Radiocarbon applications in solar activity tracing High-contrast imaging with space telescopes He has received significant recognition, including: ARC DECRA Fellowship NASA Sagan Fellowship Dr. Pope leads projects like the JWST Aperture Masking Interferometer and TOLIMAN space telescope development. He is not currently accepting students.

• Carbon Dioxide Removal
• Underground Hydrogen Storage
• Volcanic Eruption Forecasting
• +3 more

David Dempsey is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Canterbury's Faculty of Engineering, where he has been affiliated since December 2020. He leads the Subsurface Engineering Group, addressing critical challenges for a low-emissions future. His research integrates geomechanics, machine learning, and fluid dynamics across four key areas: Carbon Dioxide Removal : Designing systems to combust forestry waste and sequester CO₂ in geothermal reservoirs. Underground Hydrogen Storage : Modeling hydrogen injection/recovery in depleted gas fields. Volcanic Forecasting : Developing real-time ML systems for eruption prediction using seismic data. Induced Seismicity : Quantifying earthquake risks from energy projects. His recent publications (2021-2025) show a strong focus on machine learning applications in geohazards and energy storage, with themes including seismic forecasting, CO₂-hydrogen geostorage, and wildfire prediction. Numerical modeling and data-driven approaches dominate his methodology. He actively supervises 13+ graduate students on projects such as hydrogen geostorage, volcanic forecasting, and flood prediction. His group collaborates with industry on geothermal and seismic risk projects, leveraging real-time data from networks like GeoNet.

Dannis BrouwerView profile

Professor

• Precision Engineering
• Flexure Mechanisms
• Mechatronic Systems
• +6 more

Prof. Dr. Ir. Dannis Brouwer is a professor at the Faculty of Engineering Technology, University of Twente, leading the Precision Engineering group. His work focuses on flexure mechanisms with applications in ultra-precision machinery, robotics, orthoses, and flexible implants. He lectures Design Principles for Precision Mechanisms in Mechanical Engineering programs and has pioneered advancements in large-motion flexure joints. Education: MSc in Mechanical Engineering and Mechatronic Design (Eindhoven University of Technology, 1998-2001); PhD (University of Twente, 2007) Past Roles: Mechatronics System Designer at Philips (2001-2004); Senior Applied Research Engineer at Demcon (2007-2009) Brouwer’s research addresses the limitations of traditional bearings by optimizing flexure joints for high load capacity, large motion, and stiffness. His group developed topology synthesis methods and leverages additive manufacturing to enable geometric complexity at low cost. Applications span space mechanisms, cryogenic systems, and medical devices. His 15 most recent publications focus on flexure modeling, optimization, and applications in robotics and precision engineering. Key subfields include torsion reinforcement, underactuated grippers, and superelement formulations. Scientific Leadership: Associate Editor of Precision Engineering; Director-at-Large, American Society for Precision Engineering (2015-2017) Grants: 14 projects (total 5.5M€), supervising 11 PhD students, 7 PostDocs, and 2 EngD candidates Brouwer integrates education with industry through intensive Master’s courses and lectures at industrial academies. His work bridges theoretical advancements with practical implementations in mechatronic systems.

Charles KuehnView profile

Associate Professor

• Astronomy
• Variable Stars
• Milky Way Formation
• +1 more

Charles Kuehn serves as Associate Professor and Chair of the Physics & Astronomy department within the College of Natural and Health Sciences at the University of Northern Colorado. He has held this position since 2015, following postdoctoral appointments at the University of Sydney and Michigan State University. His academic credentials include: PhD in Astronomy and Astrophysics from Michigan State University (2011) MS in Astronomy and Astrophysics from Michigan State University (2008) BS in Astronomy from The Ohio State University (2005) Professor Kuehn's research spans observational astronomy with dual focus on variable stars (particularly RR Lyrae) and Milky Way formation . He investigates stellar populations in globular clusters and dwarf galaxies to reconstruct galactic assembly history. His complementary work in astronomy education research addresses pedagogical innovation in astronomy instruction, creating a unique bridge between astrophysical discovery and teaching methodology. Analysis of his 2006-2016 publications reveals consistent output in top astronomy journals, with concentration on variable star studies in the Large Magellanic Cloud and Milky Way halo. His work demonstrates increasing leadership in collaborative projects, with recent papers featuring international co-authors from Australia, Europe, and South America. As Department Chair and active researcher, Professor Kuehn oversees academic operations while maintaining research productivity. His role suggests supervision of graduate students and involvement in securing departmental funding, though specific grant details aren't provided. The absence of a named laboratory indicates research conducted through collaborative networks rather than a dedicated facility, providing students with opportunities in data analysis and international astronomical projects.