جست‌وجوی استاد و پژوهشگر

• Computational Subsurface Hydrology
• Discrete Fracture Network Modeling
• Anomalous Transport in Porous Media
• +۷ مورد دیگر

Rishi Parashar serves as a Research Professor in Hydrologic Sciences at the Desert Research Institute (DRI), affiliated with the University of Nevada Reno's Graduate Program of Hydrologic Sciences. His work bridges computational hydrology, geothermal systems, and microbial transport processes within fractured rock environments. Education: Ph.D. in Civil Engineering, Purdue University (2008) M.S. in Civil Engineering, Purdue University (2003) B.S. in Civil Engineering, Indian Institute of Technology, Roorkee (2001) Parashar's research centers on computational subsurface hydrology , where he develops discrete fracture network (DFN) models to simulate anomalous transport in porous media and upscaling techniques for complex flow systems. His hydro-bio-chemical systems work examines microbial motility, biofilm growth, and biogeochemical reactions governing contaminant fate. In thermo-hydro-mechanical interactions , he investigates enhanced geothermal systems (EGS) and induced seismicity through coupled process modeling. Recent publications reveal increasing integration of machine learning with traditional hydrological modeling, particularly in particle tracking and reactive transport upscaling. Analysis of his 15 most recent articles (2021-2025) shows dominant focus areas: 40% on microbial transport in porous media (including bacterial motility and biofilm effects), 30% on fracture network modeling and upscaling, 20% on contaminant remediation (particularly arsenic), and 10% on geothermal system dynamics. His collaborative work spans environmental engineering, computational science, and microbiology, with frequent co-authorship patterns indicating strong mentorship of early-career researchers. Parashar actively secures research funding through Department of Energy contracts, particularly for Nevada National Security Site projects involving fractured rock characterization. His advising portfolio includes numerous graduate students leading publications in high-impact journals like Water Resources Research and Advances in Water Resources . Current projects involve quantum algorithms for well capture zone determination and heat-sensitive epoxy foams for geothermal permeability alteration. Research Infrastructure: His work leverages DRI's computational resources for large-scale DFN simulations and collaborates with DOE laboratories on experimental validation through microfluidic devices and field-scale tracer tests. The Hydrologic Sciences division provides access to advanced characterization facilities for fractured rock systems.

Cornelius Hellgeمشاهده پروفایل

استاد پژوهشی

• Video Coding
• 5G Networks
• Mobile Networks
• +۴ مورد دیگر

Cornelius Hellge is the Head of the Multimedia Communications Group at Fraunhofer Heinrich Hertz Institute since 2015. He holds a Dipl.-Ing. in Media Technology from Ilmenau University of Technology (2006) and a Dr.-Ing. (summa cum laude) from Berlin University of Technology (2013). He was a Visiting Researcher at MIT's Network Coding and Reliable Communications Group in 2014. His work focuses on video communication, 5G evolution, volumetric video formats, and VVC system integration. He contributes to standards bodies like 3GPP, MPEG, and IETF. He has authored over 60 publications and holds 40+ patents in video and mobile networks. Research interests include volumetric video for mixed reality, scalable video coding, and low-latency 5G enhancements. Awards include the IEEE ICCE’14 Best Paper Award. His team develops advanced video coding concepts, including neural network-based compression and efficient random access mechanisms. Projects involve 5G-XR, immersive media, and network optimization for vehicular communication (V2X). Publications span topics like NR-U wideband enhancements, sidelink feedback, and entropy coding. He oversees labs advancing video communication protocols and hardware-software integration for next-gen networks.

Rafał Mantiukمشاهده پروفایل

استاد

• Visual Perception
• High Dynamic Range (HDR) Imaging
• Display Algorithms
• +۱۰ مورد دیگر

Rafał Mantiuk is a Professor of Graphics and Displays at the Department of Computer Science and Technology , University of Cambridge, UK. He leads the Rainbow Research Group and works on visual perception, display algorithms, and computational imaging. His academic journey includes a PhD (summa cum laude) from Max-Planck-Institut (2006) and an MSc from Technical University of Szczecin (2003). His research spans applied visual perception , high dynamic range imaging , display algorithms , and machine learning for image synthesis . Recent work focuses on ColorVideoVDP (HDR video metrics), AR-DAVID (AR display artifacts), and elaTCSF (flicker modeling). His methodologies combine psychophysics with computational models to enhance display technologies. His awards include: SIGGRAPH Test-of-Time Award (2023) ICME Grand Challenge Second Place (2025) CIC Best Paper Awards (2022, 2020) Human Vision and Electronic Imaging Best Paper (2020) Heinz Billing Award (2006) Key grants: ERC Consolidator Grant (2017) for EyeCode, MSCA RealVision (2018), and EPSRC funding (2017, 2011). He supervises projects involving novel display technologies like HDR multi-focal stereo displays and 10-bit LCD systems.

Peter Vangorpمشاهده پروفایل

استادیار

• Computer Graphics
• Material Perception
• Realistic Rendering
• +۴ مورد دیگر

Peter Vangorp is an Assistant Professor in the Visualization and Graphics group of the Department of Information and Computing Sciences at Utrecht University in the Netherlands. He leads research in computer graphics, visual perception, and virtual reality, with a particular focus on material perception and realistic rendering techniques. Dr. Vangorp obtained his Ph.D. in Computer Science at the University of Leuven (Belgium) in 2009. His doctoral research focused on "Human Visual Perception of Materials in Realistic Computer Graphics." Prior to his current position, he held postdoctoral positions at REVES/Inria Sophia-Antipolis (France), Giessen University (Germany), Max Planck Institute for Informatics (Germany), and Bangor University (UK). He also served as a Senior Lecturer at Edge Hill University (UK) from 2016 to 2022. Dr. Vangorp's research interests span several interconnected domains within computer graphics and visual perception. His primary focus is on understanding how humans perceive materials and gloss in computer-generated imagery, which has direct applications in realistic rendering. He has made significant contributions to the study of hazy gloss perception, BRDF modeling, and material editing techniques. His work bridges the gap between computer graphics and human visual perception, using rigorous experimental methods to inform rendering techniques. More recently, his research has expanded into virtual reality applications, particularly in medical visualization and rehabilitation. Analysis of Dr. Vangorp's recent publications reveals a consistent focus on material perception and realistic rendering, with increasing attention to virtual reality applications. His work often combines computer graphics techniques with psychophysical experiments to understand human visual perception. Recent publications show expansion into medical applications of VR, 3D point cloud processing, and gamification in educational contexts. The interdisciplinary nature of his research is evident in collaborations with researchers from computer science, psychology, medicine, and education fields. Dr. Vangorp has received research funding through an NWO grant for the VR4eVR project (Virtual Reality for enhanced Visual Rehabilitation), which runs from 2024 to 2030. This project involves collaboration with multiple institutions including UMCG, Royal Visio, RUG, and UT. Dr. Vangorp has supervised numerous graduate students, including PhD candidate Vanderfeesten (2025) and multiple Master's students in Game & Media Technology and Artificial Intelligence programs. His students have worked on diverse topics including real-time rendering techniques, neural denoising, 3D Gaussian splatting, and volumetric sampling methods. He serves as a PhD supervisor and researcher in the VR4eVR project, mentoring students working at the intersection of computer graphics and medical applications. Dr. Vangorp is actively involved in the Visualization and Graphics research group at Utrecht University, where he contributes to research on advanced rendering techniques, material perception, and virtual reality applications. His work on the VR4eVR project demonstrates his commitment to applying computer graphics research to real-world medical challenges, particularly in visual rehabilitation.

Yajie Kevin Liangمشاهده پروفایل

استادیار

• Intravital Imaging
• Multiphoton Microscopy
• Neural Stem Cells
• +۵ مورد دیگر

Dr. Yajie Kevin Liang is an Assistant Professor in the Department of Diagnostic Radiology and Nuclear Medicine at the University of Maryland School of Medicine. His research integrates advanced imaging technologies to investigate neurobiological processes, neural stem cell therapy, tumor heterogeneity, and in vivo molecular interactions. Education & Training: Baccalaureate in Medicine, Third Military Medical University, China (1998-2003) Ph.D. in Neurobiology, Third Military Medical University, China (2003-2009) Postdoc, Radiology, Johns Hopkins University (2010-2012) Postdoc, Institute of Physiology, Tuebingen University, Germany (2012-2015) Research Focus: Dr. Liang's laboratory employs intravital multiphoton microscopy to visualize biological processes in live animals. Key areas include: neural stem cell integration into neural networks, single-cell tracking of tumor behavior, and combining high-resolution imaging with light-triggered interventions for disease mechanism studies. Core methodologies involve fluorescent probe development, calcium imaging, and volumetric neural activity mapping. Publication Trends: Recent work emphasizes high-speed volumetric brain imaging, super-resolution techniques, and novel calcium indicators. Publications consistently appear in premier journals ( Nature Methods , Nature Neuroscience ), highlighting innovations in deep-brain microendoscopy, axon-specific activity measurement, and dynamic in vivo imaging. Awards & Honors: Young Investigator Award, NSF China (2009) IBRO Travel Fellowship & Best Presentation (2009) Outstanding Doctoral Thesis, Chongqing (2010) SMI/ASNTR Travel Fellowships (2011) Fortune Award, Tuebingen University (2013) Professional Affiliations: Society for Neuroscience (2017-2018), Society for Image Guided Neurointerventions (2019-present), BioImaging North America (2020-present).

Marcus Magnorمشاهده پروفایل

استاد

• Computer Science
• Computer Graphics
• Visual Computing
• +۷ مورد دیگر

Prof. Dr.-Ing. Marcus Magnor is a full professor of Computer Science at Technische Universität Braunschweig (TU Braunschweig) and holds an adjunct professorship in the Department of Physics and Astronomy at the University of New Mexico, USA. He leads the Computer Graphics Lab at TU Braunschweig and has held roles such as Department Chair (2015–2019) and Vice Chair (2019–2023). His research focuses on visual computing, encompassing image processing, computer graphics, astrophysics visualization, and computational photography. Magnor has received accolades including the Wissenschaftspreis Niedersachsen and is an alumnus of the Alexander von Humboldt Foundation. Education: BA in Physics (1995, Würzburg University), MS in Physics (1997, University of New Mexico), PhD in Electrical Engineering (2000, Erlangen University), and habilitation in Computer Science (2005, Saarland University). He conducted postdoctoral research at Stanford University and the Max-Planck-Institut Informatik. Research emphasizes interdisciplinary applications, such as planetary nebulae visualization, flame dynamics, and garment motion capture. He has organized major conferences like Vision, Modeling, and Visualization (VMV) and served on editorial boards for journals like Computer Graphics Forum. His contributions span over 100 publications in top-tier venues, addressing topics like light field coding, free-viewpoint video, and 3D reconstruction. Awards and Honors: Fulbright Scholar (former), Elected Member of Braunschweigische Wissenschaftliche Gesellschaft, and Leadership roles in initiatives like EXC PhoenixD and the L3S Research Center. Professional Service: Technical Program Co-Chair for conferences, guest editorships, and leadership in university administrative roles. His work bridges academic research with applications in astrophysics, medical imaging, and visual entertainment technologies.