جست‌وجوی استاد و پژوهشگر

Jeppe Revall Frisvadمشاهده پروفایل

دانشیار

• Computer Graphics
• Digital Image Synthesis
• Realistic Rendering
• +۷ مورد دیگر

Jeppe Revall Frisvad is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), within the Visual Computing group. His work bridges computer graphics, material science, and applied optics, focusing on realistic rendering and material appearance modeling. Ph.D. in Computer Graphics, DTU Informatics (2008) M.Sc. in Engineering (Applied Mathematics), DTU (2004) Education in University Teaching, LearningLab DTU (2008–2009) His research centers on computing material appearance from physical and chemical properties, developing faster and more accurate physically based rendering methods. Key areas include light scattering, bidirectional reflectance distribution functions (BRDF), anisotropy, and translucency modeling. Applications span computer games, movies, digital prototyping, architectural visualization, and training simulators. His recent publications (2024–2025) reflect a strong trend in digitizing material appearance, especially for 3D printing and food science, using spectrophotometry and optical validation. The work combines computer graphics with interdisciplinary applications in food structure and biological imaging, emphasizing measurement, modeling, and simulation. Scientific Awards: Research travel prize from AEG Elektronfonden (2006) IGDA scholarship for GDCE 2005 DTU Ph.D. scholarship (2004) He actively supervises Ph.D. students and leads multiple research projects, including those on organ-on-chip imaging, cheese quality analysis, and optical modeling of teeth. He collaborates across disciplines and institutions, with external research stays at UC San Diego and the University of Otago. He is involved in projects integrating AI with 3D imaging and material digitization. Jeppe is a key member of the Visual Computing research environment at DTU, contributing to both fundamental rendering algorithms and practical applications in industry and science.

Narendra Goelمشاهده پروفایل

استاد

• Computational Modeling
• Computer Simulation
• Remote Sensing
• +۲ مورد دیگر

Narendra Goel is Professor of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. His research spans computational modeling of physical, biological, and engineering systems, with applications in computer graphics and remote sensing of vegetation. Research interests focus on: Simulation frameworks for ecological and biological systems Remote sensing algorithms for vegetation analysis Theoretical foundations of computer modeling Publications demonstrate long-standing expertise in radiative transfer modeling (2000-2004) and computational biology (1972-2013). Current teaching includes Introduction to Computer Science (CSC1000), Fundamental Structures in Computer Science (CSC1500), and Introduction to Theoretical Computer Science (CSC4500). Contact at aa2671@wayne.edu or Google Scholar profile.

• Renewable Energy
• Wave Energy
• Electric Vehicle Integration
• +۷ مورد دیگر

Valeria Castellucci is a Senior Lecturer and Associate Professor in the Department of Electrical Engineering at Uppsala University, Sweden, affiliated with the Division of Electricity. She holds the title of Docent in Engineering Science with Specialisation in Science of Electricity, reflecting her advanced academic standing and research contributions. Her research focuses on renewable energy systems, particularly wave energy and the integration of electric vehicles into power grids. Key areas include demand-side flexibility, peak load management, load shifting, and the optimization of wave energy parks. Her work combines theoretical modeling with real-world applications, often based on case studies in Uppsala, such as microgrid operations and EV charging infrastructure in parking garages. The recent publications highlight a strong trend toward smart grid technologies, grid stability, and the role of distributed energy resources in modern power systems. Her research emphasizes practical solutions for integrating variable renewable sources and managing electricity demand efficiently. Docent in Engineering Science with Specialisation in Science of Electricity Valeria Castellucci is actively involved in research collaboration, particularly with colleagues such as Carl Flygare, Alexander Wallberg, and Rafael Waters. Her work has been cited in policy sources and referenced in Wikipedia, indicating broader impact beyond academia. She contributes to both journal publications and conference proceedings, maintaining a high level of scholarly output in energy and electrical engineering. She is based at Ångströmlaboratoriet in Uppsala and is a key contributor to Uppsala University's wave energy research, including work at the Lysekil Research Site. Her doctoral thesis, Sea Level Compensation System for Wave Energy Converters (2016), laid the foundation for much of her ongoing research in marine renewable energy systems.

Harel Shouvalمشاهده پروفایل

استاد

• Theoretical Neuroscience
• Computational Neuroscience
• Synaptic Plasticity
• +۵ مورد دیگر

Harel Shouval is a Professor in the Department of Neurobiology and Anatomy at The University of Texas Health Science Center at Houston (UTHealth) and a Professor in the Electrical and Computer Engineering department at Rice University. His office is located in the McGovern Medical School Building (MSB) 7.264, and he can be reached at 713-500-5708 or harel.shouval@uth.tmc.edu. Dr. Shouval's research focuses on identifying the rules by which changes in synaptic strength—believed to be the basis of learning, memory, and development in the cortex—take place. His work spans multiple levels of analysis, from molecular mechanisms to functional implications, with an emphasis on theoretical and computational approaches. Key areas of investigation include: The molecular basis of synaptic plasticity, including complex simulations of signal transduction pathways and calcium dynamics Development of simplified cellular models of synaptic plasticity, such as his unified calcium-dependent plasticity model The contribution of synaptic plasticity to receptive field development in visual cortex Long-range horizontal connections in visual cortex and their role in map formation The stability mechanisms of long-term synaptic plasticity His extensive publication record demonstrates a consistent focus on computational and theoretical aspects of synaptic plasticity. Dr. Shouval's work bridges molecular neuroscience with systems-level understanding, particularly through his development of the unified calcium-dependent plasticity model that accounts for various induction paradigms including spike time-dependent plasticity. His research shows strong interdisciplinary connections between neuroscience, electrical engineering, and computational modeling, with applications to understanding learning, memory, and developmental processes in neural circuits. Dr. Shouval teaches courses in theoretical neuroscience at both institutions, including 'Theoretical Neuroscience I: Cells, Circuits and Systems' and 'Theoretical Neuroscience II: Learning, Perception and Cognition.' His teaching spans from biophysical foundations of neuronal cells to advanced topics in learning, perception, and cognition, reflecting his integrated approach to neuroscience education. The Shouval Lab for Theoretical Neuroscience maintains an active research program investigating the fundamental mechanisms of synaptic plasticity. The lab has trained numerous graduate students and postdoctoral fellows who have contributed to the field of theoretical neuroscience, as indicated by the 'Former Graduate Students' and 'Former Postdoctoral Fellows' sections on the lab website.

Marinko Sarunicمشاهده پروفایل

استاد مدعو

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +۲ مورد دیگر

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Irrigation
• Water Conservation
• Agricultural Engineering
• +۶ مورد دیگر

GÜLÇİN ECE ASLAN is an Assistant Professor at Akdeniz University's Faculty of Agriculture in the Department of Agricultural Structures and Irrigation. She has been affiliated with Akdeniz University since 2009, initially as a Research Assistant (2009-2018) before assuming her current faculty position. Her academic journey includes a PhD (2009-2018) and MSc (2009-2012) from Akdeniz University in Agricultural Structures and Irrigation, and a BSc in Soil Science from Canakkale Onsekiz Mart University (2004-2008). Her research focuses on sustainable water management in agriculture, with expertise in: Salinity stress monitoring using spectroradiometric techniques Irrigation optimization for Mediterranean crops Water conservation strategies in arid regions Remote sensing applications in precision agriculture Groundwater quality and contamination analysis She leads research on crop responses to abiotic stresses, particularly in tomatoes, stevia, and cucumbers, employing hyperspectral and VNIR spectroscopy for non-destructive plant health assessment. Her publications demonstrate a consistent focus on water-stress physiology, with 80% of articles analyzing salinity/drought impacts on crops. Recent work shows a shift toward sustainability metrics and economic assessments in greenhouse agriculture. She has supervised 6 graduate theses and secured international funding including Horizon 2020 projects like SafeH20 Farm ($2023-2026) and IGUESSMED ($2020-2024) focused on IoT-based irrigation and pollution reduction.

• Human-Computer Interaction
• Autism Research and Assistive Technologies
• Mental Health Applications
• +۷ مورد دیگر

Hwajung Hong is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing. With a prolific publication record spanning from 2009 to 2025, Dr. Hong has established herself as a leading researcher at the intersection of Human-Computer Interaction, accessibility, and mental health applications. Her work frequently appears in top-tier venues including CHI, CSCW, and DIS, with growing emphasis on AI/LLM applications in recent years. Dr. Hong's research focuses on designing technology for vulnerable populations, particularly individuals with autism spectrum disorder, mental health challenges, and neurodiverse communities. Her early work centered on social computing applications for autism support, evolving toward more comprehensive systems addressing mental wellness, stress management, and relationship dynamics. Recent publications demonstrate a strategic pivot toward leveraging large language models for healthcare interventions, communication support, and bias mitigation. Analysis of her 15 most recent publications reveals a strong trajectory toward AI-mediated interventions across multiple domains - from mental health support for Korean investigative officers to communication tools for minimally verbal autistic children. Her work consistently emphasizes user-centered design, cultural sensitivity, and practical implementation in real-world contexts rather than purely theoretical approaches. Dr. Hong has mentored numerous graduate students who have become productive researchers in their own right, with Kwangyoung Lee, Dasom Choi, and Hyunseung Lim appearing as frequent collaborators on recent publications. Her research program demonstrates remarkable continuity in addressing human-centered challenges while adapting methodologies to incorporate emerging technologies.

Jacobé Huetمشاهده پروفایل

استادیار

• Modern Architecture
• Mediterranean Architecture
• Vernacular Architecture
• +۴ مورد دیگر

Jacobé Huet is an Assistant Professor of Art History and the College at the University of Chicago, specializing in modern architecture in the Mediterranean with a focus on transcultural exchanges between modernist and vernacular traditions, and architectural representations in art and literature. Her academic background includes a PhD in History and Theory of Architecture from Harvard University (2022), an MA from Williams College, and a BA from Université Paris 1 Panthéon-Sorbonne, all in art history. Huet's research investigates reciprocal relationships in Mediterranean architectural history, examining how vernacular-centric figures like Palestinian ethnographer Tawfiq Canaan engaged with modernist architects such as Marcel Breuer. Her current book manuscript challenges unidirectional narratives by analyzing bidirectional cultural exchanges and proposing reciprocity as a methodological framework for architectural historiography. Recent publications explore colonial architecture in Albert Camus' writings, Kader Attia's artistic reinterpretations of postcolonial urbanism, and Le Corbusier's encounters with Islamic architecture, reflecting consistent interdisciplinary engagement with Mediterranean identity and architectural representation. Research support includes: Fondation Palladio Aga Khan Program for Islamic Architecture She teaches courses including "Architecture and Colonialism in Algeria, Morocco, and Tunisia" and "Le Corbusier Beyond Europe: Internationalism and Ideology," framing architectural designs as ideologically charged products of global exchange networks.

• Antenna Engineering
• Millimeter-Wave Technology
• RF Circuits and Systems
• +۳ مورد دیگر

Suren Gigoyan is an Adjunct Assistant Professor at the University of Waterloo, affiliated with its adjunct faculty. His research focuses on millimeter-wave and terahertz technologies, with a strong emphasis on antenna design, phase shifter development, and sensing applications. His work includes innovations in phased-array antennas, tunable components, and whispering-gallery-mode (WGM) resonators for biomedical and industrial uses. Key areas of exploration include: Phased array architectures for 5G/6G and satellite communication systems MEMS-based tunable phase shifters and variable attenuators Dielectric resonators and WGM sensors for glucose monitoring and oil quality analysis Low-profile, compact antenna designs for millimeter-wave integration His publications span over three decades, with recent contributions (2021–2025) addressing emerging challenges in W-Band systems, non-reciprocal devices, and passive beamforming. Notable trends include the integration of ferromagnetic materials and silicon-on-glass (SOG) technology for high-performance, cost-effective solutions. While no academic awards or grants are explicitly listed, his work reflects sustained innovation in RF and microwave engineering. Advising and team collaborations are not detailed in the available texts.

Hani Kbashiمشاهده پروفایل

پژوهشگر

• Photonics
• Fiber Lasers
• Optical Sensors
• +۳ مورد دیگر

Hani Kbashi is a Researcher at Aston University's School of Computer Science and Digital Technologies, affiliated with the Aston Institute of Photonic Technologies (AiPT). His primary affiliations include the College of Engineering and Physical Sciences. His research focuses on advanced photonics, fiber lasers, and optical communications, with notable contributions to dual-comb lasers, rogue wave dynamics, and 5G-enabled photonic systems. Key research areas include polarization multiplexing, vector soliton phenomena, and high-stability laser systems for applications in lidar, spectroscopy, and wireless communication. His work frequently addresses challenges in multi-wavelength generation, phase stability, and nonlinear dynamics within fiber laser cavities. Collaborative efforts span academic and industrial partners, emphasizing translational research in photonic technologies. His publications (45+ outputs) reflect deep expertise in fiber laser design, optical sensor development, and next-generation communication systems. He holds an ORCID identifier: 0000-0002-6343-248X . Labs and initiatives include the Aston Institute of Photonic Technologies (AiPT), where he contributes to cutting-edge photonic device fabrication and testing. His research trends prioritize scalability, stability, and integration of photonic solutions into real-world systems.

Wes Robertsonمشاهده پروفایل

پژوهشگر

• Synthetic Biology
• Genome Engineering
• Microbiome Reprogramming
• +۲ مورد دیگر

Wes Robertson is a Researcher at the MRC Laboratory of Molecular Biology (MRC-LMB) , affiliated with the University of Cambridge under the PNAC division. His work bridges Synthetic Biology and Genome Engineering , focusing on reprogramming gut microbiomes through novel genetic tools. His research emphasizes de novo synthesis of bacterial genomes , particularly non-model gut bacteria, to create orthogonal genetic communication systems that enhance biosecurity and stability. Key contributions include pioneering work on recoded E. coli and sense codon reassignment for viral resistance and programmable biotherapeutics. Recent publications highlight advancements in genetic code refactoring , bidirectional genetic isolation , and encoded polymer synthesis , reflecting his long-term vision of deploying synthetic cellular communities to interrogate human health. His lab collaborates on engineering bacteria for disease-responsive therapies. Group Members : Gonzalo Mendoza Ochoa Dhriti Rao

Ewelina Rupnikمشاهده پروفایل

پژوهشگر

• Photogrammetry
• Pose Estimation
• Image-based 3D Reconstruction
• +۷ مورد دیگر

Ewelina Rupnik is a prominent researcher in photogrammetry and remote sensing, currently holding a researcher position at the Laboratory on Geographic Information Science (LaSTIG) at the French National Institute of Geographic and Forest Information (IGN) since 2017. She also serves as an associate researcher at the Paris Institute of Earth Physics (IPGP). Rupnik has established herself as a leading expert in historical imagery processing, neural radiance fields, and bundle adjustment techniques. Her educational background includes a PhD in photogrammetry from the Vienna University of Technology (2015), an MSc in Engineering in Photogrammetry from AGH University of Science and Technology, Poland (2005-2010), and an Erasmus exchange at the Technische Universitaet Muenchen, Germany (2009/2010). She recently completed her Habilitation from Université Gustave Eiffel in June 2025. Rupnik's research focuses on advancing photogrammetric techniques for processing historical imagery, developing novel neural radiance field approaches for satellite imagery, and improving bundle adjustment methodologies. Her work bridges traditional photogrammetry with modern deep learning techniques, particularly in the context of sparse satellite views and historical multi-epoch imagery. She has made significant contributions to the open-source MicMac photogrammetry software project. Her recent publications demonstrate a strong trend toward integrating deep learning with traditional photogrammetric methods, with a particular emphasis on satellite and historical imagery analysis. The research spans from fundamental algorithm development (like SparseSat-NeRF and Pointless Global Bundle Adjustment) to practical applications in earth sciences (landslide, earthquake, and glacier volume mapping). 2022 EuroSDR PhD Award for Corona satellite imagery processing Best Paper Award for BRDF-NeRF research Outstanding Reviewer at CVPR 2025 Rupnik actively contributes to the academic community through editorial and leadership roles, including serving as Editor-in-Chief of the French Journal for Photogrammetry and Remote Sensing (2021-2025), Advisory Board Member of the International Journal of Photogrammetry and Remote Sensing (2024-present), and Co-chair of the ISPRS Working Group on Image Orientation and Sensor Fusion (2022-2026). She regularly teaches at Université Paris Cité & ENSG (~30 hours/year since 2015) and has conducted numerous workshops worldwide on photogrammetry with historical images and MicMac software.

Roberto Gaudinoمشاهده پروفایل

استاد

• Optical Communications
• High-Speed Fiber Optics
• Optical Access Networks
• +۳ مورد دیگر

Roberto Gaudino is a Full Professor at Politecnico di Torino, specializing in optical communications and high-speed fiber optic systems. He leads the PhotoNext Center, focusing on photonic technologies for ultra-high-speed networks and industrial sensors. His research spans optical access networks (FTTH), short-reach data centers, and innovative fiber sensing. He has coordinated major EU projects like FABULOUS, POF-ALL/PLUS, and contributed to ITU-T standards (e.g., NG-PON2). He is an Associate Editor for IEEE/OSA JOCN and serves on conference committees including ECOC and ICTON. Education: Laurea in Electronic Engineering (summa cum laude, Politecnico di Torino, 1993) and PhD in Optical Communications (Politecnico di Torino, 1998). Professional service includes roles as Telecommunication Program Coordinator and Vice-Dean of the PhD School in EE. He has authored over 280 papers (h-index 31) and holds several awards including OSA's Spotlight on Optics (2016). Research emphasizes experimental validation and theoretical models. Key projects include CISCO Photonics collaborations for data-center optics, TIM Labs for next-gen PON, and Georgia Tech's MOSAIC network testbed. He pioneered reflective PON architectures and silicon photonics integration, with applications in Fronthauling and vibration monitoring using deployed fibers. Key achievements: First SI-POF media converter prototype (POF-ALL), record ODN power budgets in reflective PONs (42 dB), and contributions to international standards. Current work focuses on coherent PON convergence, 100G+ transmission, and real-time disaster detection via fiber sensing. Grants and collaborations span EU projects, industry contracts, and standardization bodies. He actively mentors students in optical communications and advises on network planning tools for large-scale PON deployments.

• Computer Vision
• Photometric Stereo
• 3D Reconstruction
• +۳ مورد دیگر

Fumio Okura is a professor at Osaka University , specializing in Computer Vision and 3D Reconstruction . His work bridges Photometric Stereo , Neural Rendering , and Medical Imaging , with a focus on cognitive decline prediction and plant modeling . He collaborates extensively with researchers like Hiroaki Santo and Yasuyuki Matsushita . Education: Ph.D. in Computer Science (Osaka University) Research Interests span Computer Vision , Photometric Stereo , 3D Reconstruction , and Biomedical Applications . His recent work includes HoGS for object reconstruction and TreeFormer for botanical structure estimation. Publications trend toward neural rendering , reflectance modeling , and augmented reality . Notable contributions include PPGCN for cognitive detection and MVCPS-NeuS for multi-view photometric stereo. Labs & Collaborations include the Osaka University Computer Vision Lab , working with teams on photometric analysis and medical imaging .

Shuang Xuمشاهده پروفایل

استادیار

• Power Electronic Converters
• Microgrid/Smart Grid
• Power System Support Functions
• +۳ مورد دیگر

Shuang Xu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB). Their research focuses on power electronic converters, microgrids/smart grids, and power system support functions. Xu holds the Associate Emera Chair title, reflecting their expertise in energy systems. Their work emphasizes innovative inverter control strategies, renewable energy integration, and grid stability enhancement. Key research interests include the design of high-efficiency power converters, advanced grid support functions for distributed energy resources (DERs), and modulation techniques for single-phase inverters. Xu's contributions address challenges in voltage/frequency regulation, power decoupling, and efficient energy transfer in renewable systems. Recent publications highlight advancements in vector control strategies, droop-based voltage regulation, and MPPT algorithms for photovoltaic systems. Their work bridges theoretical control algorithms with practical implementation in smart grid applications. Xu actively explores hybrid modulation methods and bidirectional EV charger technologies to improve grid resilience and renewable integration. No scientific awards are explicitly listed. Their research has been supported by studies on distributed energy storage systems and wind energy conversion optimization. Current projects likely involve emerging trends in inverter-based grid support and advanced control methodologies for modern power systems.