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Maik SchmelingView profile

Professor

• Finance
• Empirical Asset Pricing
• Machine Learning in Asset Pricing
• +10 more

Prof. Dr. Maik Schmeling is a Professor of Finance at the Department of Finance, Goethe University Frankfurt, and a Research Fellow at the Centre for Economic Policy Research (CEPR) in London. His research focuses on empirical asset pricing, machine learning applications in finance, international finance, FX markets, monetary policy impacts on financial markets, and textual analysis in finance. He supervises BSc and MSc theses through a centralized allocation process, emphasizing empirical analysis and collaboration with institutions like the SAFE Data Room. Research Areas: Empirical Asset Pricing, Machine Learning in Asset Pricing, International Finance and FX, Monetary Policy and Financial Markets, Analysis of Option-Implied Information, Banks and Global Dollar Funding, Non-bank Financial Intermediation, Textual Analysis in Finance, Money Markets. His recent publications span geophysics topics like melt migration, mantle convection, and subduction zone dynamics, though these appear unrelated to his current finance role. All articles are classified under geophysics and geodynamics keywords. No scientific awards or student names are mentioned in the provided texts.

David SalacView profile

Associate Professor

• Computational Fluid Dynamics
• Material Systems with Moving Interfaces
• Numerical Methods
• +2 more

David Salac, PhD, is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on computational fluid dynamics, material systems with moving interfaces, numerical methods, directed self-assembly, and high performance computing. He holds a PhD and MS from the University of Michigan (2007) and a BS from Michigan Technological University (2002). Education: PhD in Mechanical Engineering, University of Michigan, 2007 MS in Mathematics, University of Michigan, 2007 BS in Mechanical Engineering, Michigan Technological University, 2002 His research interests span computational modeling of fluid-structure interactions, vesicle dynamics, and advanced material systems. He has developed numerical methods for partial differential equations and explored applications in biophysics and materials science. Recent work includes studies on microplastic transport, ceramic matrix composites, and membrane physics. Salac has received the NSF CAREER Award (2013) for his work on electrohydrodynamics of vesicles. His publications emphasize interdisciplinary approaches to fluid dynamics and materials science challenges. His advising and grants include contributions to NSF-funded research and collaborative projects in computational engineering. He maintains active research in labs focusing on computational mechanics and soft matter systems.

Serhat HosderView profile

Professor

• Computational aerothermodynamics
• Hypersonic flows and technologies
• Uncertainty quantification
• +6 more

Dr. Serhat Hosder is the James A. Drallmeier Centennial Professor in the Department of Mechanical and Aerospace Engineering at Missouri S&T. He serves as Director of the Aerospace Simulations Laboratory, focusing on computational aerothermodynamics, hypersonic flow modeling, and uncertainty quantification for planetary entry systems. Professor of Aerospace Engineering (2019–present) Director, Aerospace Simulations Lab Advisor to students receiving NASA Space Technology Research Fellowships and Amelia Earhart Fellowships Research funded by NASA, DoD, and NSF Research Interests: Computational aerothermodynamics, hypersonic flow modeling, uncertainty quantification, multi-fidelity methods, directed energy applications, planetary entry systems, and aerodynamic shape optimization. His work combines numerical methods with robust design principles for high-speed vehicles. Scientific Awards: Missouri S&T Outstanding Faculty for Contributions to Graduate Studies Award (2022) Fellow of the Royal Aeronautical Society (2021) NASA Langley Research Center Henry J. E. Reid Award (2018) Associate Fellow of AIAA (2017) Missouri S&T Faculty Research Awards (2015, 2012) Advising & Grants: His students have secured positions at NASA, Sandia National Labs, and academia. Research funded by DoD Joint Hypersonics Transition Office, NASA (Langley, JPL), Missile Defense Agency, NSF, and industry partners like M4 Engineering, Inc.

Sudip SealView profile

Professor

• Scalable Algorithms
• High-Performance Computing
• AI/ML Workloads
• +4 more

Dr. Sudip Seal is a Joint ORNL-UT Faculty in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, and leads the Systems and Decision Sciences Group at Oak Ridge National Laboratory (ORNL). He holds dual PhDs in Computer Engineering (Iowa State University) and Theoretical High Energy Physics (New Mexico State University). His expertise spans scalable algorithms, AI-driven methods for large-scale science, and high-performance computing. He has led over $55M in multidisciplinary projects and currently leads the FORESEE initiative for extreme-scale computing ecosystems. Education: PhD in Computer Engineering, Iowa State University, 2007 PhD in Theoretical High Energy Physics, New Mexico State University, 2002 Research Interests: Design and optimization of scalable algorithms for extreme-scale scientific computing, AI/ML workloads, parallel simulations, architecture-aware algorithms, numerical methods, computational fusion and materials science, and energy-efficient computing. Awards: Best Paper Award (ACM SIGSIM PADS 2024) Paramount Accomplishment Award (ORNL 2024) Significant Event Awards (ORNL 2017 & 2014) Multiple Best Paper Finalist/Runner-up recognitions (2010–2024) Indian Government Fellowships (NTPC, UGC, CSIR) Leadership & Grants: Principal Investigator (PI) and Co-PI for multi-million dollar projects, including the ExaLearn Co-design Center. Leads ORNL's CCSD LDRD FORESEE initiative. Serves as Associate Editor for the Journal of Parallel and Distributed Computing and chairs major HPC conference committees. Labs/Teams: Systems and Decision Sciences Group (ORNL), collaborating with the Computer Science and Mathematics Division on foundational HPC research.

Nikos KavallarisView profile

Associate Professor

• Applied Mathematics
• Mathematical Biology
• Nonlinear Partial Differential Equations
• +3 more

Nikos Kavallaris is an Associate Professor at Karlstad University, specializing in Applied Mathematical Analysis. His research focuses on deterministic and stochastic modeling of biological, ecological, and industrial systems, including chemotaxis, tumor growth, MEMS technology, and uncertainty quantification. He collaborates with institutions like Osaka University and Brown University. He teaches modules such as Optimization and Applied Mathematics for Engineers. Kavallaris holds a PhD from the National Technical University of Athens (2000) and has held academic positions at Aegean University and the University of Chester. He co-organizes the 2024 Equadiff conference’s minisymposium on Nonlocal PDEs. His work bridges theoretical mathematics with applications in biology, engineering, and environmental science. Education: PhD in Applied Mathematics, National Technical University of Athens (2000) Postdoctoral Research: University of Wrocław (EU HYKE project), Osaka University (COE program) Collaborations: Osaka University, Heriot-Watt University, Sorbonne Paris Nord, Brown University Research Interests: Nonlinear PDEs, stochastic modeling in biology/ecology, MEMS device dynamics, and topological data analysis. His work addresses phenomena like tumor growth, DNA methylation, and industrial processes such as ohmic heating and metal welding. He explores quenching dynamics, blow-up solutions, and bifurcation theory in nonlocal models. Publications: Over 50 articles on topics ranging from stochastic MEMS models to cancer immunology, emphasizing nonlinear dynamics and uncertainty quantification. Recent work examines flood exposure in Sweden and immune infiltration patterns in breast cancer. Grants/Awards: Involved in EU Marie-Curie projects and collaborative research initiatives. His contributions span theoretical analysis and application-driven research in interdisciplinary fields. Labs/Teams: Active in international research networks, leading projects on nonlocal PDE applications and mathematical biology.

• Gravitational Physics
• General Relativity
• Gravitational-Wave Astrophysics
• +4 more

Alessandra Buonanno is a Research Professor at the University of Maryland, College Park, and Director at the Max Planck Institute for Gravitational Physics (Albert Einstein Institute) in Potsdam. Her primary affiliation is with the Department of Physics at UMD, and she holds honorary professorships at Humboldt University and Potsdam University. She leads the Astrophysical and Cosmological Relativity department at the Max Planck Institute. Education: PhD in Physics from the University of Pisa (1996), following a Master's in Physics (Laurea, 1993). Postdoctoral work included stints at the Institut des Hautes Études Scientifiques (France), Caltech, and CNRS institutes in Paris. Research focuses on gravitational physics, including theoretical and phenomenological aspects of gravitational waves, general relativity, and astrophysical applications. She contributed to the LIGO Scientific Collaboration's groundbreaking detection of gravitational waves, earning numerous accolades such as the Balzan Prize (2021), Dirac Medal (2021), and Gottfried Wilhelm Leibniz Prize (2018). Publications emphasize high-field superconducting magnets for particle colliders, quantum gravity, and gravitational wave modeling. She leads projects like the Muon Collider's magnet design and coordinates international collaborations in particle physics and cosmology. Awards include the European Research Council's Synergy Grant (2024), Oskar Klein Medal (2023), and membership in prestigious academies like the US National Academy of Sciences and Leopoldina. Service roles include roles on the Kavli Prize Committee, the LISA Consortium Board, and the European Space Agency's Voyage 2050 committee. She is a Principal Investigator for the LIGO collaboration and actively contributes to advancing quantum-resistant cryptography and superconducting technologies.

Ifana MahbubView profile

Associate Professor

• Integrated Circuits and Systems Design
• Wireless Communication
• Wireless Power Transfer
• +5 more

Ifana Mahbub is an Associate Professor at the Erik Jonsson School of Engineering and Computer Science , University of Texas at Dallas, specializing in Electrical & Computer Engineering . Her research focuses on energy-efficient integrated circuits, wireless power transfer systems for biomedical sensors, and advanced antenna designs for UAV and mm-wave applications. She leads the Integrated Biomedical, RF Circuits and Systems Lab . Education: Ph.D. in Electrical Engineering (2017), University of Tennessee, Knoxville B.S. in Electrical Engineering (2012), Bangladesh University of Engineering and Technology Research interests include: Ultrawideband/mm-wave phased-array antennas Far-field wireless power beaming V2V communication for UAVs Energy harvesting via reverse electrowetting Implantable/wearable sensor systems Recent work highlights advancements in high-efficiency rectennas, beamforming algorithms, and AI-driven metasurface design. Her systems address critical challenges in biomedical telemetry and aerial communication.

• Crystal Plasticity
• Materials Science
• Computational Materials Engineering
• +5 more

Martin Diehl is a computational materials scientist affiliated with KU Leuven (Departments of Computer Science and Materials Engineering) and the Max-Planck-Institut für Eisenforschung GmbH in Germany. His work focuses on crystal plasticity simulations, computational materials engineering, and multi-physics modeling of metallic systems. Research interests include: Crystal plasticity finite element method (CPFEM) and spectral solvers Microstructure evolution and damage mechanics Machine learning applications in materials design Development of the DAMASK simulation toolkit Multi-phase steel alloys and heterogeneous deformation Integrated computational materials engineering (ICME) Key trends in his publications since 2021 highlight advancements in: Multi-physics DAMASK framework for coupled chemo-mechanical and thermal simulations AI-driven inverse design of steel microstructures Damage modeling in dual-phase steels Collaborative software development for materials science Experimental-simulation integration for stress-strain partitioning High-resolution spectral methods for finite strain analysis He actively collaborates with institutions like Harbin Institute of Technology, University of Oxford, and research groups across Europe and Asia.

Stephen KeltyView profile

Professor

• Physical Chemistry
• Computational Chemistry
• Materials Science
• +3 more

Stephen Kelty, Ph.D., is a Professor in the Department of Chemistry and Biochemistry at Seton Hall University, where he leads the Kelty Research Group. His work focuses on computational and physical chemistry, particularly in modeling solid-state and molecular systems using advanced methods like DFT and molecular dynamics. He is affiliated with the Center for Computational Research, leveraging its resources for interdisciplinary projects. Dr. Kelty’s research spans heterogeneous catalysis, defect analysis in oxides (e.g., YSZ, HfO₂), and photoactive materials for energy applications. Education: Ph.D., Chemistry, Harvard University (1993) M.Phil., Chemistry, Columbia University (1991) B.S., Chemistry, University of Cincinnati (1979) Research Interests: Dr. Kelty’s group investigates electronic and structural properties of materials at atomic and molecular scales. Key areas include: Computational modeling of catalytic mechanisms Defect engineering in oxides (e.g., YSZ thin films) Design of photoactive materials for solar energy conversion Ab initio and DFT studies of functionalized molecules Recent Trends in Publications: Recent work emphasizes computational analysis of ferroelectric hafnia, phase transitions in niobium germanate thin films, and enhanced performance in La/SrCoO₃ electrodes. Collaborations include studies at Los Alamos National Lab and presentations at the Organic Reactions Catalysis Society. Advising & Labs: Guided students like Sara Lamcaj (Los Alamos intern) and Frank Hung (APS presenter) Leverages the Center for Computational Research for high-performance simulations

• Control of Dynamic Systems
• System Identification
• Optimal Estimation and Control
• +3 more

David M. Bevly is an Assistant Professor in the Department of Mechanical Engineering at Auburn University, where he has been on the faculty since 2001. He directs the GPS and Vehicle Dynamics Laboratory (GAVLAB) and teaches a range of courses spanning system dynamics, vehicle dynamics, optimal estimation and control, and GPS navigation. Education Ph.D. Mechanical Engineering, Stanford University, 2001 M.S. Mechanical Engineering, Massachusetts Institute of Technology, 1997 B.S. Mechanical Engineering, Texas A&M University, 1995 Research Interests His research integrates control theory with real-world vehicle applications, focusing on control of dynamic systems, optimal estimation and control, GPS and sensor fusion, vehicle dynamics and control, and vehicle state estimation . Combining low-cost GPS receivers with inertial sensors, he develops algorithms that enable precise state estimation for passenger cars, agricultural tractors, and off-road platforms, enhancing safety and autonomy. Publication Trends Between 1999 and 2004, Bevly authored or co-authored more than a dozen journal and conference papers that collectively advance the fields of GPS-aided vehicle control and precision agriculture. The works explore theoretical contributions—such as dead-reckoning error analysis and yaw-dynamic modeling—and demonstrate practical implementations on farm tractors and high-speed ground vehicles. Awards & Recognition Best Paper of Session, 2000 ION-GPS Meeting SAE Arch T. Colwell Award (Myers Award) for Outstanding Student Paper, 2000 Laboratory & Teams As head of the GPS and Vehicle Dynamics Laboratory (GAVLAB) at Auburn, Bevly leads interdisciplinary projects that integrate mechanical design, real-time embedded systems, and field experimentation. The lab collaborates with industry partners and federal agencies to transition research results into commercial vehicle-safety and agricultural-autonomy products.

• Flow in underground porous media
• Geoenergy
• Underground energy storage
• +12 more

Dario Viberti is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively contributes to the Master's and Continuing Education School. He serves as Coordinator for both Master’s levels I and II of the Natural Resources Development and Storage program and participates in doctoral colleges for Civil and Environmental Engineering and Materials, Sustainable Processes, and Systems for the Transition. His research focuses on flow in underground porous media , geoenergy , and underground energy storage , particularly hydrogen and CO₂ storage. His expertise spans numerical modeling, reservoir engineering, fluid mechanics, well testing, and energy transition systems. He is involved in commercial research projects with ENI Corporate University and leads initiatives related to sustainable energy applications. His recent publications reveal a strong trend in underground hydrogen storage , biogeochemical modeling , pore-scale simulation , and PVT analysis of gas mixtures . These works emphasize safety, efficiency, and long-term integrity of subsurface storage systems using advanced computational and experimental methods. Scientific Manager, Underground CO2 Storage Project (2022) Scientific Manager, Reservoir Modeling Project (2022) Coordinator, Master’s Program in Natural Resources Development and Storage Member, SEASTAR Competence Center Committee (2020–2025) He mentors several PhD students, including Michel Tawil, Marialuna Loffredo, Alice Raeli, and Alice Massimiani, supporting research in microfluidics, Lattice Boltzmann simulations, and thermodynamic characterization. He teaches courses such as Numerical Modeling for Multiphase Flow , Underground Energy Storage , and Well Logging and Testing across multiple degree programs. His work aligns with UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action).

Helmut SchwarzView profile

Professor

• Gas-phase ion chemistry
• Physical organic chemistry
• Organometallic chemistry
• +12 more

Prof. Dr. Helmut Schwarz is a distinguished faculty member at the Technische Universität Berlin , where he holds a professorship in the Field of Organic Chemistry within the Institute of Chemistry. He is also a key member of the UniCat Cluster of Excellence , a leading interdisciplinary research initiative focused on catalysis. His work bridges experimental and theoretical chemistry, with a strong emphasis on gas-phase ion chemistry and reaction mechanisms. His research interests include gas-phase ion chemistry, physical organic chemistry, organometallic chemistry, selective bond activation by transition-metal species, mass spectrometry, and computational chemistry . He investigates fundamental processes such as methane and CO2 activation, C-H bond functionalization, and redox reactions using cluster ions and single-atom systems. His approach combines advanced mass spectrometric techniques with theoretical modeling to elucidate reaction mechanisms at the molecular level. His recent publications highlight trends in metal-mediated and metal-free bond activation, ligand and doping effects in clusters, spin-selective reactions, and the role of oxygen-centered radicals . A recurring theme is the activation of small molecules like methane, ammonia, and carbon dioxide under ambient or thermal conditions , with implications for sustainable catalysis and energy conversion. Helmut Schwarz has received numerous scientific honors, including: Eni Award (2015) Karl Ziegler Award (2015) Schrödinger Medal from WATOC (2015) Blaise Pascal Medal (2011) Wilhelm Manchot Professorship (2012) Foreign Honorary Member, American Academy of Arts and Sciences (2012) Honorary doctorate from Kliment Ochridski University, Sofia He has mentored numerous students and collaborators, though specific names are not listed in the provided text. His research is supported by major academic institutions and collaborative frameworks like UniCat. He leads a research group focused on mechanistic studies using mass spectrometry and maintains strong collaborations with theoretical chemists. His laboratory employs advanced techniques including ion-trap mass spectrometry, gas-phase spectroscopy, and computational modeling to explore transient reactive species and catalytic cycles.

• Computer Science
• Artificial Intelligence
• Cybernetics
• +3 more

Dilip Sarkar serves as an Associate Professor in the Department of Computer Science at the College of Arts and Sciences, University of Miami. His academic profile demonstrates a strong research focus across multiple domains of computer science with particular emphasis on theoretical foundations and practical applications. Dr. Sarkar's research interests include: Artificial Intelligence and Cybernetics Parallel Algorithms and Programming Combinatorics Image Processing and Compression Internet of Things Security Machine Learning Applications in Healthcare Quantum Computing Approaches His publication record from 2018-2024 reveals a researcher engaged with cutting-edge computational challenges. Recent work spans quantum tensor networks for time series analysis, security frameworks for single sign-on systems, efficient computation in belief theoretic models, and machine learning applications for traumatic brain injury recovery prediction. His research demonstrates consistent integration of theoretical computer science with practical problem-solving across diverse application domains. As a member of CCS (Center for Computational Science) at the University of Miami, Dr. Sarkar participates in interdisciplinary research initiatives that bridge computational methods with scientific discovery across multiple fields. His technical expertise spans both theoretical frameworks and practical implementations, with notable contributions to image compression techniques, particularly for medical applications, and security protocols for modern web and IoT environments.

Nina MaherndlView profile

Assistant Professor

• Cloud Microphysics
• Mixed-phase Clouds
• Riming Processes
• +3 more

Nina Maherndl serves as Assistant Professor for Ground-based Remote Sensing of Clouds at the Department of Geoscience & Remote Sensing within Delft University of Technology's Faculty of Civil Engineering and Geosciences, a position she assumed in 2025 after completing her PhD at Leipzig University. Her research focuses on microphysical processes in mid- and high-latitude mixed-phase clouds. Her educational background includes: PhD in Meteorology, Leipzig University (2024) Dr. Maherndl specializes in ice formation and growth mechanisms , with particular emphasis on riming processes in mixed-phase clouds. Her work investigates how these microphysical phenomena drive spatial variability in ice and snowfall distribution, bridging observational cloud physics and ground-based remote sensing methodologies to improve atmospheric modeling. Current efforts focus on quantifying riming effects through airborne campaign data and developing advanced parameterizations for snowflake scattering. Her 2023-2024 publications demonstrate consistent innovation in riming quantification techniques , leveraging data from the HALO-(AC)3 aircraft campaign and developing novel parameterizations for remote sensing applications. These studies integrate cloud microphysics , airborne instrumentation , and radiative transfer modeling to address precipitation formation challenges in mixed-phase systems. Dr. Maherndl operates within TU Delft's Geoscience & Remote Sensing (GRS) Laboratory framework and has participated in international field campaigns including HALO-(AC)3. No information regarding student supervision or grant funding was provided in the source materials.

• Hydrogeology
• Saturated-Unsaturated Flow
• Water-Gas Two-Phase Flow
• +3 more

Kuang Xingxing is an Associate Professor at the School of Environmental Science and Engineering, Southern University of Science and Technology . His research focuses on saturated-unsaturated flow, water-gas two-phase flow, solute transport modeling, and groundwater response to climate change. PhD in Hydrogeology (2012) from the University of Hong Kong M.Eng in Hydrology and Water Resources (2008) and B.Eng in Hydrology and Water Resources Engineering (2007) from China University of Geosciences (Beijing) His work improves parameter models for groundwater flow and solute transport, with studies published in leading journals like Water Resources Research and Geophysical Research Letters . He also investigates climate change impacts on Qinghai-Tibet Plateau groundwater systems. Recent publications highlight his contributions to two-phase flow mechanisms in aquifers, solute transport modeling in deltaic systems, and permeability-depth relationships in Earth’s crust. His research integrates laboratory experiments, numerical simulations, and field data. Scientific Awards : AXA Research Fund Post-Doctoral Fellowships (2014) Beijing Outstanding Graduate (2007) China University of Geosciences Outstanding Graduate (2007) SINOPEC Scholarship (2005) National Second Class Scholarship (2004) He serves as Associate Editor of Hydrogeology Journal and reviews for top journals. Teaching includes undergraduate courses in Hydraulics , Hydraulic Experiment , and Introduction to Earth Science .