Find Academic Supervisors

Som DuttaView profile

Assistant Professor

• Computational Fluid Dynamics
• High Performance Computing
• Machine Learning for Fluid Dynamics
• +3 more

Som Dutta is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University . His research focuses on high-fidelity computational fluid dynamics (CFD) modeling with applications to environmental flows, aerospace systems, and machine learning (ML) integration. Education: PhD in Civil Engineering (2017), MS in Civil Engineering (2012) from University of Illinois at Urbana-Champaign, BS in Civil Engineering (2008) from Birla Institute of Technology, Mesra. Research Interests: Som investigates turbulent multiphase flows, environmental fluid mechanics, and ML-based surrogate models for digital twins of energy and space systems. His work spans applications in river/coastal mechanics, hybrid rocket propulsion, and bioregenerative life support systems for lunar exploration. Awards: Recognized with the Undergraduate Research Mentor of the Year (2029, 2021), Bayfield Visiting Researcher award (2019), and prestigious fellowships including ATPESC (2017) and CSE Fellowship (2011). Teaching: Courses include Fluid Mechanics, Computational Fluid Dynamics, and Numerical Methods at both undergraduate and graduate levels. Publications: His recent work includes studies on lunar life support systems, droplet fragmentation physics, and Great Salt Lake hydrodynamics. He employs GPU-accelerated CFD and DNS/LES methods for multiscale flow analysis.

Nathaly SantiestebanView profile

Assistant Professor

• Experimental Physics
• Nuclear Physics
• Particle Physics
• +3 more

Nathaly Santiesteban is an Assistant Professor of Physics & Astronomy at the University of New Hampshire (UNH), affiliated with the College of Engineering and Physical Sciences. Her research focuses on experimental nuclear and particle physics, particularly in areas such as photonuclear interactions, hyperon production, and searches for axion-like particles. She is actively involved with Jefferson Lab collaborations and has contributed to studies on nuclear structure, off-shell effects, and high-energy scattering experiments. Dr. Santiesteban teaches advanced courses including PHYS 615/616 (Mechanics/Mathematical Physics) and PHYS 720/820 (Nuclear Physics). Her work bridges theoretical predictions with experimental validation, leveraging cutting-edge facilities like the GlueX detector and the MARATHON experiment. Current research trends include probing subthreshold particle production, QCD dynamics in light nuclei, and precision measurements of nuclear responses. Her publications (2020–2025) reflect a strong focus on high-energy physics experiments, with notable contributions to understanding color transparency, few-body nuclear systems, and heavy-ion collisions. Despite no explicitly listed scientific awards, her prolific publication record and experimental leadership indicate significant contributions to her field. Dr. Santiesteban’s advising and grant activities are not detailed here, but her involvement in collaborative projects suggests active participation in research funding and student mentorship. Her lab affiliations include the UNH Physics Department’s Demeritt Hall facility, where she conducts experimental preparations and data analysis.

Keigo HirakawaView profile

Professor

• Signal Processing
• Image Processing
• Digital Cameras
• +3 more

Keigo Hirakawa is a full-time Professor and Bernhard Schmidt Chair in Engineering Leadership at the University of Dayton's School of Engineering, Department of Electrical and Computer Engineering. He holds a joint appointment with the Electro-Optics and Photonics program. His academic journey includes a Ph.D. from Cornell University (2005), an M.S. from Cornell (2003), a B.S. from Princeton University (2000), and a Master of Music in Jazz Studies/Piano Performance from the New England Conservatory (2006). His research focuses on signal and image processing, statistical modeling, color image processing, and digital camera pipeline optimization. He is actively involved in professional activities such as serving as an Associate Editor for SPIE's Journal of Electronic Imaging and IEEE Transactions on Image Processing , and participates in the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee. Recent work emphasizes event-based sensing, noise reduction in imaging systems, and advanced spectral imaging techniques. His research has led to innovations like Fourier multispectral imaging and Kalman filter-based particle velocimetry. He teaches courses such as ECE 203, 215, 340, 445, and graduate-level ECE 503 and 595. His laboratories focus on developing next-generation imaging systems and sensor technologies, with applications in aerospace, cybersecurity, and biomedical imaging. Collaborations span industry and academia to address challenges in real-time data processing and high-fidelity image reconstruction.

Wilfried HortschitzView profile

Researcher

• Sensor Technology
• MEMS Development
• Electric Field Measurement
• +3 more

Wilfried Hortschitz is a researcher at the Center for Modelling and Simulation at the University for Continuing Education Krems, specializing in advanced sensor development. Holding a doctorate from Johannes Kepler University Linz, his work bridges microsystem engineering and practical applications in electromagnetic field measurement. His research focuses on creating innovative MEMS-based solutions for challenging measurement environments. His primary research interests include electric field sensing for power transmission systems, magnetic materials simulation , and optomechanical transducer development . Recent work emphasizes hybrid optical MEMS displacement sensors and vibration-suppressed field measurement systems, addressing critical gaps in high-voltage and low-frequency electromagnetic monitoring. His sensor technologies target applications in power grid safety, industrial measurement, and biomedical sensing. Analysis of his publication record reveals strong specialization in MEMS fabrication and field metrology , with consistent output in high-impact journals like Physical Review Letters and Applied Physics Letters . His work demonstrates a clear trajectory from fundamental sensor physics toward real-world applications, particularly in power systems and industrial measurement contexts. Hortschitz leads multiple significant research initiatives including the EU-funded Magnetic Multiscale Modelling Suite (2024-2027) and previously directed the Bundesländer-funded Sensor system for lightning warnings (2021-2024). His grant portfolio includes substantial funding from FWF, FFG, and international organizations, reflecting strong institutional support for his work in electromagnetic measurement technology. He holds active patents including Sensor (A 51104/2019) and Device for measurement of an electric field (520811), demonstrating translational impact of his research. His technical lectures at forums like Fachgespräch zum Stand der BfS Forschungsvorhaben highlight practical implementations of his measurement systems for static electric fields.

Violeta MUNTEANUView profile

Associate Professor

• Biomechanics
• Multibody Systems
• Composite Materials
• +3 more

Violeta Munteanu is an Associate Professor at the Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Bucovina. Her research focuses on biomechanics, multibody systems, composite materials, and structural analysis. She has contributed to interdisciplinary projects in automotive engineering, nuclear facilities, and medical rehabilitation. Her work includes studies on moisture-induced deformation in musical instruments, mechanical design for high-energy physics experiments (ELI-NP), and portable motion analysis systems for clinical applications. She has also explored symmetry principles in civil engineering and heat transfer analysis using dimensional methods. Publications highlight innovations in composite materials (e.g., glass fiber and carbon/Kevlar-based systems), lightweight automotive components, and biomechanical modeling of human gait recovery. Her work bridges mechanical engineering with applications in sports, medicine, and sustainable construction.

Chandrika NarayanView profile

Teaching Professor

• Applied Physics
• Solid-State Physics
• Nuclear Physics
• +3 more

Chandrika Narayan is an Associate Teaching Professor in the Department of Physics & Applied Physics at the University of Massachusetts Lowell, part of the Kennedy College of Sciences. She holds a Ph.D. in Physics from UMass Lowell (1992), an MS in Physics from UMass Lowell (1988), and an MS in Physics from the University of Connecticut (1985). Her research focuses on applied physics, solid-state phenomena, and accelerator technologies. Notable work includes studies on Schottky barriers, surface states in superlattices, and neutron spectroscopy. Her publications span journals like Nucl. Instru. and Meth. in Physics Research B and IEEE Transactions on Nuclear Science . Her academic contributions include advancing methodologies in accelerator physics and computational modeling of surface states. No scientific awards are explicitly mentioned, but her work reflects sustained engagement with experimental and theoretical challenges in physics. She has no listed advisees or grants in the provided data.

• Artificial Intelligence
• Reinforcement Learning
• Internet of Things (IoT)
• +5 more

Dr. Qingzhi Liu is an Assistant Professor at the Information Technology Group within Wageningen University & Research in the Netherlands. He holds a Ph.D. from Delft University of Technology (2016) and postdoctoral research experience at Eindhoven University of Technology (2016-2019). His research focuses on AI-driven solutions for precision agriculture, IoT systems, and edge computing. He teaches courses including Big Data (INF33806), Artificial Intelligence (INF36306), and Advanced Machine Learning (FTE40306). Research interests include reinforcement learning applications in microgrid energy management, deep learning-based crop classification using UAV imagery, and blockchain-enhanced IoT security frameworks. He has published in top venues like IEEE TPDS and IEEE TITS, addressing challenges in smart agriculture, distributed cloud scheduling, and energy-efficient computing. His work integrates computer vision techniques for agricultural monitoring (e.g., plant stem occlusion inpainting), low-code platforms for agri-tech development, and secure IoT data fusion methods. He actively contributes to interdisciplinary projects at the intersection of IT and life sciences.

James Avery SaulsView profile

Professor

• Condensed Matter Physics
• Superfluidity
• Superconductivity
• +8 more

James Avery Sauls is a Professor and the Hearne Chair of Theoretical Physics at Louisiana State University (LSU), affiliated with the Department of Physics & Astronomy in the College of Science. His research focuses on quantum fluids and solids, unconventional superconductors, and topological phases of matter. He has been a leader in advancing theoretical frameworks for superfluid 3 He and chiral superconductors, with contributions to understanding symmetry breaking, collective modes, and transport phenomena in these systems. Education: Ph.D. in Physics, State University of New York (SUNY) Stony Brook, 1980 Research Interests: Dr. Sauls specializes in superfluidity and superconductivity under extreme conditions. His work addresses confinement effects in superfluid 3 He, topological defects in quantum matter, and applications of superconducting materials in advanced technologies like quantum computing and particle accelerators. He explores chiral phases, stripe phases, and the interplay between disorder and superconducting properties, often linking experimental observations to theoretical models. Awards & Honors: Fellow, American Physical Society Max Planck Research Prize (1994) John Bardeen Prize (2012) Fritz London Prize (2017) Advising and Grants: While no students are explicitly listed, Sauls has advised postdoctoral researchers and graduate students through his roles at LSU and the Hearne Institute. His research has been supported by grants from the National Science Foundation, Department of Energy, and other institutions. Notable initiatives include leading projects at the Center for Applied Physics and Superconducting Technologies (CAPST) and contributing to the Superconducting Quantum Materials and Systems (SQMS) research center. Labs & Research Teams: Sauls is a core member of the Hearne Institute of Theoretical Physics, where he collaborates on quantum fluid dynamics and superconductivity. He also engages with interdisciplinary teams at CAPST and SQMS, focusing on optimizing superconducting materials and mitigating decoherence in quantum hardware.

Rudi VillingView profile

Associate Professor

• autonomous mobile robotics
• systems for health and wellbeing
• applications of real-time intelligent systems
• +7 more

Rudi Villing is an Associate Professor and Programme Director for Robotics & Intelligent Devices at Maynooth University's Department of Electronic Engineering, Faculty of Science & Engineering. He is actively affiliated with the Hamilton Institute and the Assisting Living and Learning (ALL) Institute at Maynooth University. Dr. Villing holds a first class honours B.Eng. in Electronic Engineering from Dublin City University and a PhD in Engineering from NUI Maynooth. Prior to his academic career, he spent 10 years working in the telecommunications software industry, specializing in Telecommunications Management Networks and software systems architecture. His primary research focuses on autonomous mobile robotics , systems for health and wellbeing , and applications of real-time intelligent systems . With expertise spanning system design, real-time embedded software, machine learning, autonomous behavior, signal processing, communications, and psychoperception, his work bridges theoretical research with practical applications. His recent publications demonstrate strong activity in robot vision, assistive robotics for elderly care, and computational healthcare applications, particularly in Parkinson's disease rehabilitation through the BeatHealth project. Dr. Villing's scientific contributions have been supported by funding from: Science Foundation Ireland Enterprise Ireland Irish Research Council European Commission As Programme Director, he plays a key leadership role in robotics education while maintaining an active research program. His work consistently translates theoretical concepts into practical implementations, particularly evident in his research on gait rehabilitation systems and quality control applications in food engineering. His recent publications show increasing interdisciplinary work at the intersection of robotics, healthcare, and food science. Dr. Villing is deeply involved with the Hamilton Institute and the ALL Institute, contributing to interdisciplinary research initiatives focused on intelligent systems with real-world impact. His laboratory work emphasizes practical robotics applications that address tangible human needs, especially in healthcare contexts where technology can improve quality of life for vulnerable populations.

Denver WhittingtonView profile

Associate Professor

• Particle Physics
• Neutrino Detectors
• Neutrino Oscillation Physics
• +3 more

Denver Whittington is an Associate Professor of Physics at Syracuse University and currently serves as Co-Chair of the Community Committee within the Physics department. His research focuses on neutrino physics, particularly the design, construction, and operation of neutrino detectors, and the analysis of neutrino interaction data. He specializes in long-baseline neutrino oscillation physics and detector development, contributing to major experiments like NOvA and DUNE. Whittington holds a Ph.D. in Physics from Indiana University (2012), an M.S. in Physics from the same institution (2005), and a B.A. in Physics & Mathematics from Anderson University (2004). His work involves advancing neutrino detection technologies, including liquid argon time projection chambers (LArTPCs) and cross-section measurements critical for understanding neutrino behavior. He has been awarded the Physics Faculty Teaching Award (2023) and the Social Justice and Community Building Award (2023) from Syracuse University. His research grants include leadership roles in projects like the "Neutrino Research at Syracuse University" (NSF, 2022-2025) and collaborations on detector design for the DUNE experiment. Whittington actively participates in academic service, including roles on the NOvA Institutional Board and the DUNE collaboration. His presentations span topics like neutrino oscillations and the potential of large neutrino detectors for future physics discoveries.

Vadim Y. BanineView profile

Professor

• EUV Lithography
• Plasma Physics
• Surface Physics
• +3 more

Prof. Vadim Y. Banine is a part-time Full Professor of Physics and Technology of EUV Lithography at Eindhoven University of Technology (TU/e), combining this role with his position as Director of ASML. His research focuses on EUV lithography, plasma physics, surface physics/chemistry, and accelerator technology. He holds a cum laude MSc from Moscow Institute of Physics and Technology and a PhD from TU/e (1994). At ASML, he oversees research programs, project leadership, and global collaborations to advance EUV technology. He is a member of FOM's Scientific Advisory Committee and has over 60 patents and 40+ publications. His work contributes to UN SDGs like affordable and clean energy and industry innovation. Recent research highlights plasma-particle interactions, EUV-induced phenomena, and sensor development for plasma diagnostics. His collaborative networks include TU/e, Twente University, and Russian ISAN. Awards include the ASML Patent Award.

Kerstin BorrasView profile

Professor

• Experimental Particle Physics
• Standard Model
• High-Energy Physics
• +4 more

Kerstin Borras is a Professor of Physics at RWTH Aachen University and a Leading Scientist at DESY, Germany's national research center for particle accelerators. She specializes in experimental particle physics, particularly in the analysis of the Standard Model and the strong interaction, with extensive experience in detector development for high-energy physics experiments. Affiliations: DESY (German Electron Synchrotron) RWTH Aachen University CMS Experiment Collaboration at CERN's LHC Her research focuses on CMS experiment operations at the LHC, including detector design, data analysis, and quench protection for superconducting magnets. She has led the DESY CMS group and serves as Deputy Spokesperson for the CMS collaboration. Borras' work bridges accelerator physics and detector technology, emphasizing superconducting RF cavities and material science for particle accelerators. Key contributions include advancing Nb3Sn magnet technologies, optimizing quench protection systems, and developing thin-film superconductors for next-generation accelerators. She actively participates in international committees like the Helmholtz Think Tank and the European Committee for Future Accelerators (ECFA). Research Themes: High-energy collider physics Superconducting magnet systems Detector development for particle physics experiments Material science for accelerator components

Joachim MnichView profile

Professor

• Particle Physics
• High-Energy Physics
• Detector Development
• +3 more

Joachim Mnich is a Professor of Physics at Universität Hamburg and holds leadership roles in DESY and CERN. He has served as Lead Scientist at DESY since 2005, heading the CMS group and coordinating the EUDET project. From 2009-2020, he was Director for Particle and Astroparticle Physics at DESY. Since 2021, he serves as Director for Research and Computing at CERN. Education: PhD in Physics (1987, RWTH Aachen) - MARK J-Experiment at DESY Habilitation in Physics (1995, RWTH Aachen) Studies in Electrical Engineering and Physics at RWTH Aachen (1977-1984) Research Focus: Elementary particle properties, detector development for high-energy physics, physics analysis at the Large Hadron Collider (LHC), and preparation of future electron-positron linear colliders. His work bridges experimental particle physics with advanced detector technologies and international collaborations. Leadership Roles: Director for Research and Computing, CERN (2021-present) Research Director for Particle/Astroparticle Physics, DESY (2009-2020) Coordinator, EUDET Project (2006-2009) Affiliations: Member of national/international expert bodies and advisory committees in particle physics.

• Artificial Intelligence
• Machine Learning
• Space Weather
• +4 more

Dr. Peter Steinbach leads the Group of Artificial Intelligence at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), focusing on interdisciplinary research spanning computational science, space physics, and machine learning applications. His work integrates advanced computing techniques with domain-specific challenges in healthcare, microscopy, and space weather monitoring. Education & Background: While specific educational details are not provided, his research portfolio indicates advanced expertise in physics, computational methods, and software engineering. His career has been centered at HZDR, contributing to major projects like the CLIJ GPU-accelerated image processing framework and space weather studies using ionospheric wave analysis. Research Interests: Steinbach's work emphasizes practical AI applications, including educational tools for machine learning (e.g., "Teaching Machine Learning in 2020") and medical AI systems. His computational science contributions include optimizing high-performance computing for fluid dynamics and parallel processing. In space physics, he investigates VLF transmitter propagation, plasmaspheric dynamics, and geomagnetic storm impacts using satellite data from DEMETER and ground-based networks. Key Projects: Developed CLIJ, a GPU-accelerated image processing tool integrated with Fiji, revolutionizing microscopy workflows. Advanced understanding of ionospheric processes through studies on Schumann resonances and plasmaspheric hiss effects. Pioneered techniques for lightning detection and Q-burst analysis to map Earth's crust conductivity. Technical Contributions: Steinbach has optimized MPI-based fluid dynamics models for GPU systems and created benchmarking tools like gearshifft for heterogeneous computing platforms. His work bridges theoretical research with practical software solutions for the scientific community.

• Radiation Physics
• High-field THz Phenomena
• Plasma Physics
• +3 more

Prof. Sebastian Frederick Mährlein is a Professor leading the High-field THz driven Phenomena research group at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His primary affiliation is within the Department of Radiation Physics . Located in Dresden, he focuses on advanced radiation physics applications including terahertz (THz) field phenomena. Research interests center on high-field THz technologies, plasma dynamics, and medical physics innovations. His work is supported by HZDR's infrastructure such as the ELBE Center for High-Power Radiation Sources. Contact details include phone: +49 351 260 2240 and office address: Bautzner Landstraße 400, 01328 Dresden (Office 620/305).