جست‌وجوی استاد و پژوهشگر

Chenliang Xuمشاهده پروفایل

دانشیار

• Computer Vision
• Audio-Visual Learning
• Vision and Language
• +۵ مورد دیگر

Chenliang Xu is an Associate Professor in the Department of Computer Science at the University of Rochester, affiliated with the Goergen Institute for Data Science and Artificial Intelligence (GIDS-AI). His research focuses on computer vision, audio-visual learning, and trustworthy AI. He holds a PhD from the University of Michigan (2016), with prior degrees from Nanjing University of Aeronautics and Astronautics and the University at Buffalo. Notable awards include the Best Paper Award at ACCV 2024 and the James P. Wilmot Distinguished Professorship. His work spans interdisciplinary topics such as video understanding, multimodal reasoning, and robust AI. Key research contributions include audio-visual scene synthesis, bias mitigation in models, and applications in public health. He has secured over $3M in grants, including NIH funding for AI-driven video description tools and public health initiatives. Prof. Xu advises a dynamic research group with 11 PhD students and numerous collaborators. His lab explores cutting-edge projects like egocentric audio-visual understanding, generative AI for avatars, and multimodal defense mechanisms. He teaches courses in machine vision, deep learning, and advanced computer vision.

Ruan Elliottمشاهده پروفایل

مدرس ارشد

• Nutritional Metabolism
• DNA Damage and Repair
• Nutrigenomics
• +۴ مورد دیگر

Dr Ruan Elliott is Dean of the Doctoral College and Senior Lecturer in Nutrition at the University of Surrey's School of Biosciences. He holds a PhD in Nutritional Metabolism (2017) and BA in Natural Sciences from Cambridge (1988). His research focuses on nutritional modulation of DNA repair mechanisms, functional genomics in nutrigenomics, and micronutrient homeostasis of iron, copper, selenium, and zinc. He has led studies on vitamin D efficacy, food bioavailability, and oxidative stress biomarkers. Education: PhD (University of Surrey, 1992), BA (University of Cambridge, 1988) Previous Roles: Senior Scientist (Institute of Food Research, 1994-2009), Postdoctoral Fellow (University of British Columbia, 1992-1994) His research integrates molecular biology and nutrition to address health impacts of dietary components. Recent work explores oat-based milk alternatives' sensory profiles, vitamin D supplementation efficacy, and DNA repair pathways in cardiovascular disease. He collaborates internationally on projects like the D2-D3 Study and NuGO initiatives. Publications emphasize translational research, including systematic reviews on insect protein efficacy and meta-analyses of vitamin D supplementation. His work bridges lab-based models (e.g., Caco-2 cells for iron studies) and clinical applications. No scientific awards were explicitly listed in the provided texts. He advises on doctoral training programs and has contributed to grant-funded projects like the University of Surrey's food and infection biosciences initiative (2024). Collaborations include studies on probiotics' immune effects and transcriptomic analysis of metabolic conditions.

Kazunori Koideمشاهده پروفایل

استاد

• Organic Chemistry
• Natural Products Synthesis
• Fluorescent Sensors
• +۳ مورد دیگر

Kazunori Koide is a Professor in the Department of Chemistry at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. His research focuses on organic synthesis of natural products, development of novel synthetic methodologies, and creation of fluorescent probes for biomedical applications. He leads the Koide Group, which explores anticancer compounds like FR901464 and stresgenin B, as well as sensors for metals such as palladium, copper, and platinum. Research interests include total synthesis of bioactive natural products, mechanistic studies of organic reactions, and design of fluorogenic probes for real-time imaging of biomolecules. Notable projects involve Birch reduction optimization, palladium detection technologies, and RNA splicing modulation therapies. His work has led to awards including the University of Pittsburgh Chancellor's Distinguished Research Award (2009) and the Merck Technology Collaboration Award (2014). Key contributions span medicinal chemistry, analytical methods, and drug discovery, with over 100 publications in top journals like J. Am. Chem. Soc. and Nature Catalysis . Lab activities emphasize interdisciplinary approaches, combining organic synthesis with cell biology and materials science. Collaborations with pharmaceutical companies and academic institutions drive translational research in cancer therapy and environmental monitoring.

Christoph T. Kochمشاهده پروفایل

استاد

• Electron Microscopy
• Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Christoph T. Koch is a Professor of Physics at Humboldt-Universität zu Berlin, where he has held the W3 Chair since 2015. Previously, he held a similar position at Ulm University (2011–2015), supported by the Carl Zeiss Foundation. His research focuses on advanced electron microscopy techniques, including quantitative transmission electron microscopy (TEM), electron holography, and strain mapping. He leads the AG Strukturforschung/Elektronenmikroskopie group, advancing materials science through innovations in imaging and spectroscopy. Education: B.Sc./M.Sc. in Physics at Heidelberg University (1996–1998), followed by an exchange at Arizona State University (1997–1998). PhD in Physics from Arizona State University (2002, advisor: Prof. John C.H. Spence). Postdoctoral research at the Max Planck Institute for Metals Research, Stuttgart (2002–2011). Research interests include: Electron diffraction and phase retrieval Nanometer-scale strain and defect analysis Electron energy-loss spectroscopy (EELS) for plasmonics and bandgap mapping Development of FAIR data infrastructure for materials science Leadership: Managed the Department of Physics at Humboldt University (2020–2024). Collaborates widely, with key co-authors including P.A. van Aken, W. Sigle, and C. Felser. His work bridges experimental microscopy and computational modeling, addressing challenges in semiconductors, ceramics, and 2D materials. Notable contributions include pioneering methods for 3D reconstruction via electron ptychography, dynamic electron diffraction analysis, and strain mapping in advanced CMOS technologies. Current efforts emphasize real-time imaging and AI-driven data analysis in materials research.

Ziquan Liuمشاهده پروفایل

مدرس

• Reliable Machine Learning
• Uncertainty Quantification
• Computer Vision
• +۴ مورد دیگر

Dr. Ziquan Liu is a Lecturer (Teaching & Research) at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Centre for Multimodal AI. He holds a PhD from City University of Hong Kong (2023) and dual B.Sc./B.Eng. degrees from Beihang University (2017). His research focuses on trustworthy machine learning, adversarial robustness, and uncertainty quantification in foundation models. He has served as a reviewer for top conferences like NeurIPS, ICLR, and CVPR, earning an Outstanding Reviewer Award in 2021. His teaching includes modules on machine learning for visual data analysis and principles of machine learning. He supervises PhD students in AI safety and reliability, with notable work on conformal prediction, adversarial attacks, and multimodal learning. His research outputs span top venues such as ICML, CVPR, and NeurIPS, addressing challenges in algorithmic fairness, model certification, and cross-modal alignment.

Christopher Jonesمشاهده پروفایل

مدرس ارشد

• Organic Chemistry
• Methodology Development
• Heterocyclic Synthesis
• +۳ مورد دیگر

Dr. Christopher R. Jones is a Senior Lecturer in the School of Physical and Chemical Sciences at Queen Mary University of London. He holds a MSci in Natural Sciences from the University of Cambridge (2005) and a PhD in Organic Chemistry under Prof. Martin D. Smith (2009). He was a Junior Research Fellow at the University of Oxford (2009–2013) and joined Queen Mary as a Ramsay Memorial Research Fellow in 2013. He received an EPSRC Early Career Fellowship in 2015. His research focuses on developing sustainable organic synthesis methodologies, particularly leveraging aryne chemistry and functional carbon nanomaterials. Key areas include aryne-mediated C(sp³)-H bond functionalization, biologically active heterocycles, and applications in green chemistry. Current research grants include EPSRC funding for catalytic reactive intermediate studies (2015–2021), RSC grants for aryne synthesis (2018–2025), and a PAK UK Education Gateway Mobility Partnership (2023–2024). Dr. Jones supervises multiple PhD students, including co-supervision with Prof. Stellios Arseniyadis. His work has led to publications in high-impact journals like Nature Chemistry and Chemical Science , emphasizing innovations in organic synthesis and materials chemistry.

Kourosh R Ahmadiمشاهده پروفایل

دانشیار

• Precision Nutrition
• Human Genetics
• Vitamin B12 Deficiency
• +۳ مورد دیگر

Dr. Kourosh R Ahmadi is a Reader in Precision Nutrition at the University of Surrey's School of Biosciences. His research focuses on Precision Public Health, Vitamin B12 deficiency, and genetic epidemiology. He teaches modules on B-vitamins and one-carbon metabolism in Nutrition and Dietetics programs. Research interests include vitamin B12 status analysis, genomic influences on micronutrient metabolism, and health disparities in populations such as South Asians and African-Caribbean communities. He has contributed to studies using UK Biobank data to assess vitamin deficiencies and bone health in diverse groups. Key publications address clinical pitfalls in diagnosing B12 deficiency, genetic determinants of nutritional status, and dietary impacts on health outcomes. His work highlights the importance of tailored nutrition strategies for plant-based diets and vulnerable populations.

Svetlana Yanushkevichمشاهده پروفایل

استاد

• Biometric Technologies
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Dr. Svetlana Yanushkevich is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary. She is also a Full Member of the Hotchkiss Brain Institute and the Mathison Centre for Mental Health Research and Education. Her research focuses on biometric technologies, decision support systems, biomedical applications, and computational intelligence. She leads the Biometric Technologies Laboratory, developing strategies for risk assessment in biometric systems and healthcare monitoring through machine reasoning and signal processing. Education : BSc/MSc in Electrical Engineering (1989), State University of Informatics and Radioelectronics, Minsk PhD in Electrical Engineering (1992), same institution Dr. Habilitated in Technical Sciences (1999), Warsaw University of Technology Research Interests : Dr. Yanushkevich’s work spans biometric system design (e.g., gait analysis, facial attributes), decision support via probabilistic models (Bayesian networks, causal inference), biomedical applications (stroke rehabilitation, wearable sensors), and computational intelligence for data science. She emphasizes fairness, bias mitigation, and trustworthiness in AI systems, particularly in healthcare and accessibility contexts. Recent Research Trends : Her recent publications address causal modeling for accessibility barriers, UAV operator cognitive workload, and medical device optimization in radiation therapy. She explores AI ethics, stress contagion in human-robot teams, and cross-spectral biometric systems. Awards & Recognition : 2024 FEIC Fellow (Engineering Institute of Canada) 2019 Research Excellence Award (Schulich School of Engineering) 2001 Senior IEEE Membership Advising & Grants : She coordinates courses like ENCM 509 (Biometric Systems Design) and ENEL 610 (Biometric Technologies). Her research is supported by grants focusing on healthcare AI, accessibility technologies, and computational epidemiology. Labs & Collaborations : Her Biometric Technologies Lab collaborates with institutions like Hokkaido University and the IEEE Computational Intelligence Society. Projects include wearable health monitoring, decision support platforms, and AI-driven epidemiological modeling.

Ana Luísa Daniel da Silvaمشاهده پروفایل

پژوهشگر

• Functional Nanomaterials
• Nanocomposites
• Colloidal Nanoparticles
• +۳ مورد دیگر

Ana Luísa Daniel da Silva is a Principal Researcher at the University of Aveiro, Portugal, affiliated with CICECO - Aveiro Institute of Materials (Group 1: Porous Materials and Nanosystems). She holds a BSc in Chemical Engineering from IST, Lisbon (2000) and a PhD in Materials Science from the University of Alicante, Spain (2005). Her research focuses on functional nanomaterials for water purification, biomedical applications, and environmental nanotechnology. She has supervised 10 ongoing PhD students, 25 MSc students, and contributed to over 110 SCI-indexed publications, earning an h-index of 35 (Scopus). Key research areas include surface-modified nanomaterials for pollutant removal and biodetection. She coordinates projects like BIOMAG under Portugal 2020, emphasizing industrial collaboration. Awards include recognition as a top 2% global scientist by Stanford University (2022–2023). Teaching involvement includes courses in Chemistry and Chemical Engineering. Education: BSc Chemical Engineering, IST, Lisbon (2000) PhD Materials Science, University of Alicante (2005) Her work bridges nanotechnology and sustainability, with patents on magnetic nanosorbents and biomolecule detection platforms. Current projects address carbon-neutral building technologies (ILLIANCE) and advanced drug delivery systems for diabetes and melanoma.

Philip Hemmerمشاهده پروفایل

استاد

• Quantum Optics
• Quantum Computing
• Nanodiamonds
• +۵ مورد دیگر

Philip Hemmer is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. He holds a Ph.D. in Physics from MIT (1984) and a B.S. from the University of Dayton (1976). His research focuses on quantum optics, nanodiamond-based quantum sensing, and advanced optical materials for applications in quantum computing, biosensing, and thermal imaging. Key areas include solid-state quantum systems, upconversion nanoparticles, and fiber-optic sensor technologies. Dr. Hemmer's work spans interdisciplinary fields such as quantum communication, luminescent thermometry, and nanotechnology. His lab develops novel materials like GeV color centers in diamonds for high-precision sensing and explores applications in medical diagnostics, environmental monitoring, and fundamental physics. Awards include the National Science Foundation Fellowship and multiple AFOSR Star Team Awards. Education: Ph.D., Physics, Massachusetts Institute of Technology, 1984 B.S., University of Dayton, 1976 Awards: National Science Foundation Fellowship Summa Cum Laude, University of Dayton Air Force Research Laboratory Chief Scientist's Award AFOSR Star Team Award (three-time recipient) His recent publications emphasize quantum-enhanced biosensing, nanodiamond engineering, and fiber-optic quantum sensors. Research trends highlight innovations in thermal imaging using diamond defects, multiplexed sensing platforms, and scalable quantum technologies.

Rudy Guerraمشاهده پروفایل

استاد

• Biostatistics
• Bioinformatics
• Statistical Genetics
• +۴ مورد دیگر

Rudy Guerra is a Professor and Chair of the Department of Statistics at Rice University, where he has been since 2000. His research spans biomedical applications of statistics, including bioinformatics, statistical genetics, and medical imaging, alongside sociological research in education and Mexican migration. He holds academic leadership roles, including Director of the Data Science Minor and member of the BRIDGE and Doerr Institute steering committees. Guerra earned his Ph.D. in Statistics from UC Berkeley, M.A. in Mathematics from UC Berkeley, and B.S. in Applied Mathematics from UT San Antonio. Education: Ph.D., Statistics, UC Berkeley (1992) M.A., Mathematics, UC Berkeley (1987) B.S., Applied Mathematics, UT San Antonio (1984) Key Roles: Department Chair, Statistics (2019–present) Associate Chair, Statistics (2016–2019) Former Jones College Magister (Residential College Leader, 2005–2011) Research Interests: Dr. Guerra’s work integrates statistical methods with biomedical and social science challenges. His biomedical focus includes cancer genomics (e.g., osteosarcoma metastasis, biomarker discovery), medical imaging (e.g., CT ventilation analysis), and bioinformatics. In social sciences, he examines educational inequities and Mexican migration impacts on health. His recent projects include collaborations with Texas Medical Center institutions and sociologists at Rice. Articles Trends: His publications emphasize interdisciplinary applications, combining statistical rigor with domain-specific insights. Recent work spans oncology, public health, and computational biology, reflecting a commitment to bridging theory and practical medical/sociological challenges. Awards & Roles: Panel Member, Ford Foundation Fellowship (2016–present) Associate Editor, BMC Genetics (2014–present) Former Residential College Master of Jones College (2005–2011) Advising & Grants: Guerra advises students on statistical research and curricula. He has led initiatives like the Keck Center for Quantitative Biomedical Sciences Training and co-founded the Empowering Leadership Alliance (ELA) to support underrepresented minorities in STEM. His grants include funding for bioinformatics consortia and educational outreach programs. Labs & Teams: Active in the Gulf Coast Consortia for Bioinformatics and collaborates with multidisciplinary teams at MD Anderson, Baylor College of Medicine, and UT Health Science Center.

• Perception Engineering
• Extended Reality
• Virtual Reality
• +۷ مورد دیگر

Mark Bo Jensen is an Assistant Professor (tenure track) at the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), specializing in Energy Technology and Computer Science. His research is centered on Perception Engineering and Extended Reality technologies, particularly Virtual Reality (VR), with applications in human cognition, computer graphics, and scientific visualization. His research interests lie at the intersection of engineering and cognitive sciences, focusing on creating immersive and convincing extended reality experiences. Jensen applies his over 10 years of expertise in real-time computer graphics to advance VR systems for perception modeling, geometric data visualization, and material appearance simulation. His work contributes to fields such as medical diagnostics, 3D annotation, and photorealistic rendering. The recent publications highlight a strong trend in leveraging VR for scientific tasks, such as anatomical landmark annotation and visual field testing, as well as advancing core graphics techniques like meshlet optimization and diffusion-based stereo image generation. His research integrates computer vision, graphics algorithms, and human-centered design. While no scientific awards are currently listed, his active participation in research projects and consistent publication output indicate a growing academic profile. He has contributed to interdisciplinary collaborations involving medical, biological, and engineering domains. Jensen has been involved in advising and research projects, including serving as a PhD student in the 'Virtual Reality-Based Visualization of Geometric Data' project and currently as a project participant in 'AL-EYE: The Visual Aid'. These projects reflect his focus on applied VR solutions and data understanding. His work is conducted within the Energy Technology and Computer Science division at DTU, where he contributes to advancing perception-driven technologies and their practical implementation in scientific and medical contexts.

Charles Raymond Sarimuthuمشاهده پروفایل

مدرس ارشد

• Power Systems
• Renewable Energy
• Smart Grids
• +۳ مورد دیگر

Dr. Charles Raymond Sarimuthu is a Senior Lecturer in the Department of Electrical and Computer Systems Engineering at Monash University Malaysia. He holds a Ph.D. in Electrical Power Engineering from National Energy University, Malaysia. His research focuses on voltage control, power transformers, distribution systems, renewable energy, and smart grids. He actively supervises undergraduate and postgraduate students and has published extensively in high-impact journals such as Electric Power Systems Research and Renewable Energy . Dr. Sarimuthu has collaborated on projects including the Electric Field Imaging (EFI) Sensor for Comprehensive Static Charge Analysis (2024-2025) and the Fundamental study on memristor switching performances (2023-2026). He has also led the Investigation of on-load tap changer transformer operation (2019-2022), demonstrating expertise in grid stability and renewable integration. Teaching commitments include ECE3051 - Electrical Energy Systems , ECE4053 - Electrical Energy-Generation and Supply , and ECE5886/6886 - Smart Grids . He is a member of professional bodies such as the Board of Engineers Malaysia (BEM) and IEEE. His work aligns with UN Sustainable Development Goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent research highlights include game theory approaches for voltage control and adaptive synchronverter technologies for solar power systems.

• machine learning
• robotics
• machine vision
• +۹ مورد دیگر

Dr. Hamidreza Mohades Kasaei is an Associate Professor in the Department of Artificial Intelligence at the University of Groningen, Netherlands. He holds positions in both the Faculty of Science and Engineering and the Faculty of Medical Sciences/UMCG, focusing on Robotics and image-guided minimally-invasive surgery. His work bridges theoretical advances in machine learning with practical robotic applications. Dr. Kasaei's research focuses on developing algorithms for adaptive perception systems through interactive environment exploration and open-ended learning. His specific interests include 3D object perception, grasp affordance detection, object manipulation, and active perception. He has evaluated his research on various robotic platforms including PR2, UR5e, Kinova, Franka robotic arms, and humanoid robots. His work enables robots to learn from past experiences and intelligently interact with non-expert human users using data-efficient techniques. Analysis of his recent publications reveals strong trends toward increasingly sophisticated manipulation capabilities, particularly in dual-arm coordination and handling dense clutter. There's a clear progression toward integrating language models with robotic control systems, as seen in works like 'Lifelong Robot Library Learning' and 'Towards Open-World Grasping with Large Vision-Language Models.' His research consistently addresses real-world challenges in agricultural robotics, assistive technologies, and service robotics applications. Gratama Science Award (2022) Google Research Scholar Award in Machine Learning (2023) Outstanding Associate Editor for IEEE Robotics and Automation Letters (2023) Dr. Kasaei has successfully supervised multiple PhD students including Zhenxing Zhang (thesis on 'Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation') and Hamed Ayoobi (thesis on 'Explain What You See: Argumentation-Based Learning and Robotic Vision'). His research is supported by significant grants including the Google Research Scholar Award for 'Continual Robot Learning in Human-centered Environments' and various conference organization roles including workshops at RSS 2023 and NeurIPS 2022. He leads the Lifelong Interactive Robot Learning Lab (IRL-Lab), which focuses on six key research directions: Perception and Perceptual Learning, Object Grasping and Manipulation, Lifelong Interactive Robot Learning, Dual-Arm Manipulation, Dynamic Robot Motion Planning, and Exploiting Multimodality. The lab develops cutting-edge approaches for robots to learn in open-ended fashion through interaction with non-expert human users, with applications in assistive robotics for people with disabilities.

• Film Studies
• Experimental Cinema
• Queer Cinema
• +۴ مورد دیگر

Cathy Lee Crane is a Professor at the Roy H. Park School of Communications within Ithaca College , specializing in directing actors for film. Since 1994, her work has redefined speculative history through lyrical, archival-based filmmaking. She received the prestigious Guggenheim Fellowship (2013) and has been honored with multiple awards, including Best Feature Documentary at the Syracuse International Film Festival (2020). Key Projects: Crossing Columbus (2020), terrestrial sea (2022), and the (X)-trACTION collective Residencies: Harun Farocki Institute (2022), Rockefeller Foundation Bellagio Center Her cross-platform border work challenges traditional storytelling, while her 16mm short films distributed by Canyon Cinema and Light Cone continue to shape experimental cinema. As SFIndie Fest 2018’s The Manhattan Front was declared a 'masterpiece' by Noel Burch, Crane remains a pivotal figure in queer and experimental film discourse. Scientific Awards: Guggenheim Fellowship (2013) New York Foundation for the Arts Fellowship Best Feature Documentary (Syracuse International Film Festival, 2020) Jury Citation (Festival de Cinema da Fronteira, 2022)