جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Video Processing
• Bayesian Inference
• +۵ مورد دیگر

Professor Anil Kokaram is a distinguished academic and researcher in Electronic Engineering at Trinity College Dublin (TCD), Ireland. He holds a PhD in Signal Processing from the University of Cambridge (1993). As a Fellow of Engineers Ireland and recipient of an Academy Award (Oscar) for his work in video processing, he is renowned for contributions to digital video restoration, multimedia forensics, and video compression. From 2011–2017, he led the Media Algorithms Team at YouTube/Google, advancing cloud-based video transcoding and enhancement technologies. His research bridges academia and industry, with innovations in Bayesian inference, motion estimation, and neural network applications for video processing. **Education**: PhD in Signal Processing, University of Cambridge (1993). **Key Roles**: Former Associate Editor of IEEE Transactions on Video Technology and Image Processing. Founded GreenParrotPictures (acquired by Google), producing video enhancement software. **Research Focus**: Video compression artifacts, perceptual quality metrics (e.g., ViSQOL), and adaptive streaming algorithms. **Notable Projects**: Developed frameworks for automated sports broadcasting, noise reduction in medical imaging, and synchronization of user-generated videos. **Awards**: 2007 Science & Engineering Academy Award (Oscar), 2007 Fellow of Engineers Ireland. **Labs/Teams**: Leads the Signal Media Algorithms group at TCD, collaborating with industry partners like Google on large-scale video analysis systems. His work emphasizes practical applications of signal processing in creative industries, including film post-production and virtual production.

André Stephanمشاهده پروفایل

دانشیار

• Life Cycle Assessment
• Material Stocks and Flows Analysis
• Parametric Modelling
• +۴ مورد دیگر

André Stephan serves as Associate Professor in Construction and Environmental Performance at the Melbourne School of Design, University of Melbourne. His internationally recognized research pioneers practical methodologies for enhancing environmental performance across the built environment through life cycle assessment, material stocks and flows analysis, and parametric modeling, directly targeting industry decision-making processes. Stephan's research centers on sustainable construction innovation at multiple scales, with emphases on circular economy implementation, urban infrastructure decarbonization, and renewable energy integration. His work develops actionable tools like the EPiC Database and Nested Phoenix model that quantify embodied environmental flows while addressing material reuse pathways, wind energy potential in cities, and building stock dynamics from historical to future perspectives. Analysis of his recent publications reveals dominant themes in dynamic life cycle assessment of building stocks, material flow accounting for circular economy, and computational integration of environmental metrics into design workflows. His research consistently bridges theoretical frameworks with practical applications across urban infrastructure, building design, and regional resource management contexts. Stephan's contributions have been acknowledged through 18 awards in environmental assessment of the built environment. He serves as referee for top-tier journals and examiner for international research funding bodies while providing consultancy to governance organizations across Australia, Belgium, USA, and the United Nations. His industry engagement includes significant consultancy work for regional governance bodies and professional organizations, with featured projects including the Nested Phoenix computational model for urban built stocks and the EPiC Database providing hybrid environmental flow coefficients for construction materials. These initiatives demonstrate his commitment to translating academic research into practical industry tools for sustainable development.

• Fluid Mechanics
• Shock Wave Dynamics
• High Energy Density Physics
• +۳ مورد دیگر

Michael Liverts is an Associate Professor in the Department of Fluid Mechanics at KTH Royal Institute of Technology. He specializes in shock wave dynamics, fluid mechanics, and high-energy density physics. His work focuses on experimental and computational studies of shock wave interactions, blast mitigation using foams, and advanced measurement techniques for dynamic pressures and temperatures. Liverts teaches courses such as Compressible Flow, Sustainable Development Methodology in Mechanics, and Mechanics I/II. He coordinates and examines multiple advanced-level degree projects in fluid mechanics and mechanics. Research interests include shock wave convergence, real gas effects, underwater electrical explosions, and multiphase flow dynamics. His recent studies explore cylindrical shock wave behavior, supersonic jet generation via blast focusing, and the critical parameters governing wire explosion dynamics. Liverts has developed novel calibration methods for sensors measuring extreme pressures and temperatures (up to 3000°C) with sub-millisecond response times. Publications span over two decades, with a focus on shock wave phenomena, thermal inhomogeneity effects, and foam-based blast mitigation strategies. His work bridges fundamental fluid mechanics with applied engineering solutions, particularly in safety systems and energy research. Liverts collaborates on European metrology projects (e.g., DynPT) and has contributed to high-current generator design for high-energy-density matter studies. Teaching responsibilities include course coordination for core mechanics courses and advanced compressible flow modules. His pedagogical approach integrates research insights into curriculum design, emphasizing sustainable development principles in engineering education.

Efthymios Ladoukakisمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Machine Learning
• Cancer Epigenetics
• +۵ مورد دیگر

Dr. Efthymios Ladoukakis is a Postdoctoral Research Assistant in Bioinformatics at Queen Mary University of London's Wolfson Institute of Population Health, specifically within the Centre for Cancer Screening, Prevention and Early Diagnosis. His work focuses on epigenetic research for cervical, prostate, and colorectal cancers. Previously, he held roles at the National Hellenic Research Foundation (NHRF) and National Technical University of Athens (NTUA), where he explored metagenomics, metatranscriptomics, and epigenomics related to environmental pollutants and enzyme discovery. Education: Chemical Engineer (NTUA, specializing in Biotechnology) with a PhD in Bioinformatics from NTUA. His research interests span Bioinformatics, Machine Learning, Cancer Epigenetics, and Multi-omic analysis. Research contributions span diverse areas including automated metagenomic pipelines (ANASTASIA), environmental pollutant effects on leukemia, and carbon capture storage via prokaryotes. His recent work emphasizes epigenetic biomarkers for cancer prediction and mechanisms linking microbial dysbiosis to prostate cancer. Advising: No formal advisees listed. Collaborations include the NIHR School for Primary Care Research and international cohorts. Active in developing computational tools for genomic data analysis and epidemiological studies. Labs/Teams: Part of the Wolfson Institute's Cancer Screening team, contributing to translational epigenetic research for clinical applications.

Kelsey Lucasمشاهده پروفایل

استادیار

• Ecological Biomechanics
• Fish Swimming Mechanics
• Habitat Selection
• +۲ مورد دیگر

Dr. Kelsey Lucas is an Assistant Professor in the Department of Biological Sciences at the University of Calgary's Faculty of Science. Her research program in ecological biomechanics investigates how fish swimming mechanics influence behavior, energetics, and habitat selection. She examines how body morphology and movement dynamics determine swimming performance across species and environments. Her work integrates biomechanical measurements with ecological context to understand habitat occupancy patterns in freshwater systems. This research provides biomimetic insights for underwater vehicle design while assessing environmental impacts on fish populations. Dr. Lucas teaches courses including Vertebrate Zoology, Animal Physiology, and Comparative Vertebrate Anatomy. Her lab website provides additional information about ongoing research projects and publications.

Curtis Roadsمشاهده پروفایل

استاد

• Electronic music
• Computer-generated music
• Microsound synthesis
• +۳ مورد دیگر

Curtis Roads is Professor of Media Arts and Technology and Associate Director of the Center for Research in Electronic Art Technology (CREATE) at the University of California, Santa Barbara. He holds a BA from University of California, San Diego (Summa Cum Laude) and a Doctorate from Université Paris 8. His research focuses on electronic and computer-generated music, specializing in microsound synthesis techniques, spatialization, and the aesthetics of electronic composition. His work explores innovative sound synthesis methods like granular and pulsar techniques, audio signal processing algorithms, and interdisciplinary approaches bridging music and technology. Research themes include: Quantum-level sound manipulation at micro-time scales Pluriphonic spatialization techniques for immersive audio Computational methods for musical signal processing Historical and aesthetic frameworks for electronic music His publications demonstrate consistent focus on materials innovation for energy applications, particularly boron-nitrogen compounds and electrochromic materials, with recent work expanding into sustainable synthesis methods and advanced optoelectronic devices. Awards include: Ars Electronica Award of Distinction (2002) SEAMUS Prize for lifetime achievement (2010) Giga-Hertz Prize for lifetime achievement (2016) He leads research at CREATE, developing applications like PulsarGenerator and EmissionControl, and maintains international collaborations in electroacoustic music research.

Derya Aklemanمشاهده پروفایل

استاد

• Time Series Analysis
• Stochastic Processes
• Risk Analysis
• +۵ مورد دیگر

Derya Akleman is an Instructional Professor and Director of the Master's Program in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. Her research focuses on time series analysis, stochastic processes, risk analysis, artificial intelligence, econometrics, and interdisciplinary topics such as genomics and tourism. She holds a faculty position with over three decades of academic experience, spanning diverse fields from computational art to agricultural economics. Her work integrates statistical methodologies with practical applications, including causal inference in transportation systems, web-based creative tools for visual storytelling, and economic modeling of agricultural commodities. She has contributed to foundational research in speech recognition, network reliability, and regional tourism development. Dr. Akleman’s academic career reflects a commitment to both theoretical advancements and real-world problem-solving. She oversees the Master's program curriculum, emphasizing hands-on learning and interdisciplinary collaboration. Her publications bridge statistics with computer science, engineering, and social sciences, highlighting her role as a cross-disciplinary scholar. She currently serves in administrative and teaching roles within Texas A&M’s Statistics Department, contributing to both education and research initiatives. Her office is located in Blocker 450B, and she can be reached at derya@stat.tamu.edu.

Liu Yangمشاهده پروفایل

استاد

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Liu Yang is a full Professor and University Leadership Forum Chair at the School of Computer Science and Engineering, Nanyang Technological University (NTU). He holds the President’s Chair in Computer Science and Engineering and serves as Executive Director of the Cyber Research Programme Office and Cyber Security Research Centre @ NTU. His research focuses on Cybersecurity, Software Engineering, and Artificial Intelligence, with contributions in formal verification, program analysis, and deep learning systems. He leads projects like the Securify initiative and develops tools such as the Process Analysis Toolkit (PAT) for system verification. Education: Ph.D. (2010) and Bachelor of Computing Science (2005) from National University of Singapore. Research Interests: Cybersecurity (malware analysis, vulnerability detection), Software Engineering (formal verification, program analysis), AI (security, robustness, explainability), and Automotive Security. His work bridges formal methods, program analysis, and machine learning to address challenges in secure systems and autonomous systems. Notable Achievements: Over 6000 citations (2020), H-index 38, awards include Nanyang Assistant Professor (2013), NRF Investigatorship (2020), and ACM Distinguished Speaker. His research spans journals like IEEE Transactions on Software Engineering and conferences such as NeurIPS, CVPR, and ICSE. Grants and Leadership: Principal Investigator of grants totaling over 5M SGD, including projects on vulnerability detection, formal verification, and cybersecurity. Organizes international conferences like ASE, ICSE, and FM, and serves on editorial boards such as IEEE Access. Labs/Teams: Leads the Cyber Security Research Centre @ NTU and collaborates on projects like the HP-NTU Digital Manufacturing Corp Lab and the National Satellite of Excellence in Singapore.

• Medical Imaging
• Oncology
• Genomics
• +۶ مورد دیگر

Dr. In Um is a Research Fellow at the School of Medicine, University of St Andrews, with an email address at ihu@st-andrews.ac.uk. Their research focuses on interdisciplinary medical and computational sciences, including advanced imaging techniques, oncology, genomics, and ecological behavioral studies. Key areas include mass spectrometry imaging for cancer biomarker discovery, computational methods for medical image analysis, and drug mechanism exploration. Research interests span Medical Imaging, Oncology, Genomics, Computational Biology, and Ecology. Publications emphasize innovative applications of AI in medical diagnostics, kidney disease mechanisms, and symbiotic effects on insect behavior. Dr. Um supervises PhD student Clare Orange and collaborates on projects involving drug development and ecological predator-prey dynamics. Recent work includes co-developing GAN-based tools for virtual staining and exploring transcription factors in glomerulonephropathies. Their contributions bridge clinical, computational, and ecological research domains, with a focus on translational applications in healthcare and environmental science.

• Artificial Intelligence and Creativity
• Human-Computer Interaction
• Digital Creativity Support Tools
• +۷ مورد دیگر

Amanda Brown is a Research Fellow at Bayes Business School, City, University of London, where she has been contributing since 2009. She is a key member of the Centre for Creativity enabled by AI (CebAI) and the Centre for Creativity in Professional Practice (C2P2), working across multidisciplinary teams to develop AI-powered tools that enhance human creativity in professional settings. University: City, University of London School: Bayes Business School Position: Research Fellow Email: amanda.brown.1@citystgeorges.ac.uk Location: Room FSQ501, 106 Bunhill Row, London, EC1Y 8TZ, United Kingdom Research Interests: Amanda Brown's research is centered on the intersection of artificial intelligence and human creativity. She investigates how digital tools can support and augment creative thinking in diverse domains such as journalism, elite sports coaching, and public service innovation. Her work emphasizes human-centered AI, ensuring that technology empowers professionals rather than replaces them. Key areas include AI-augmented idea generation, digital creativity support systems, and interdisciplinary innovation in complex organizational environments. Publications and Research Trends: Her recent publications focus on designing co-creative AI tools like Sport Sparks and JECT.AI, which assist coaches and journalists in generating novel ideas. These works reflect a strong trend in applying AI to real-world creative challenges, with an emphasis on usability, human control, and practical impact. The research spans computer science, cognitive psychology, and design, demonstrating a highly interdisciplinary approach. Scientific Contributions: While no formal awards are listed, Amanda's collaborative research has led to influential publications in top-tier venues such as CHI, Creativity and Cognition, and Communications of the ACM. Her work is embedded in large-scale, funded projects that evaluate the effectiveness of digital tools in professional settings. Advising and Grants: Although no direct students are listed, she collaborates extensively with PhD candidates and senior researchers. Her projects are supported by competitive grants from bodies such as EPSRC, EU H2020, Innovate UK, and Arts Council England, reflecting the applied and interdisciplinary nature of her work. Labs and Teams: Amanda is integral to CebAI and C2P2, where she contributes to the development of tools like INJECT and Sport Sparks. These teams bring together experts from computer science, psychology, design, and business to create impactful solutions for creative industries and public services.

Nao Tsuchiyaمشاهده پروفایل

استاد

• Consciousness
• Neuroscience
• Attention
• +۶ مورد دیگر

Professor Nao Tsuchiya is a neuroscientist at Monash University's Turner Institute for Brain & Mental Health, specializing in consciousness studies. He holds a PhD in Computation and Neural Systems from Caltech and a Bachelor's in Science from Kyoto University. His research explores the neural basis of consciousness, attention, and qualia, employing methods like neuroimaging (EEG/MEG/fMRI), psychophysical experiments, and mathematical frameworks (category theory, quantum cognition). Current projects include the Dreamscape Project (neurophysiology of dreams), analyzing multi-channel neurophysiological data, and testing quantitative theories of consciousness. He also leads the 'Lifting the Veil' project on visual perception disorders and serves as an editorial board member for Neuroscience of Consciousness . His work addresses fundamental questions about consciousness in animals, machines, and humans, contributing to UN Sustainable Development Goals. Education PhD in Computation and Neural Systems, California Institute of Technology (2000-2005) Bachelor in Science, Kyoto University (1996-2000) Research Interests His lab investigates: Neuronal correlates of conscious/non-conscious processing Consciousness vs attention mechanisms Quantitative theories of consciousness (e.g., Integrated Information Theory) Qualia structure mapping via mathematical models Cross-modal perception and emotion Grants & Projects Leads/co-leads 15+ research projects including: Australian Research Council-funded Dreamscape Project (2024-2027) NHMRC Equipment Grant for neural stimulation technology (2023-2024) Adversarial testing of consciousness theories (2021) Awards & Recognition While no explicit awards are listed, his work has been referenced in multiple Wikipedia pages and news outlets, indicating academic impact. Labs & Teams Runs the Tsuchiya Lab at Monash with active collaborations across disciplines (psychology, physics, computer science), focusing on experimental and theoretical approaches to consciousness.

Sarah C. Vigmostadمشاهده پروفایل

دانشیار

• Computational fluid mechanics
• Fluid-structure interactions
• Multiscale modeling of biological phenomena
• +۵ مورد دیگر

Sarah C. Vigmostad is an Associate Professor of Biomedical Engineering and Interim Associate Dean at the University of Iowa's College of Engineering. She also serves as a Researcher at the Iowa Institute for Biomedical Engineering. Her work focuses on computational techniques for fluid-structure interactions, computational fluid mechanics, and multiscale modeling of biological phenomena. She joined the faculty in 2008 and holds degrees from the University of Iowa: a BSE (2001), MS (2003), and PhD (2007) in Biomedical Engineering. Her research spans coronary blood flow dynamics, heart valve mechanics, cardiovascular implant design, RBC dynamics, and vocal cord biomechanics. Notable projects include studies on Descemet membrane endothelial keratoplasty biomechanics, mitral valve surgical simulation, and hybrid CT/MRI vocal tract modeling. Her work often integrates medical imaging data with computational fluid dynamics to address clinical challenges in cardiovascular and ophthalmologic systems. Professional affiliations include the Biomedical Engineering Society (BMES). Her publications reflect interdisciplinary collaboration across biomechanics, fluid dynamics, and medical device innovation. Though no awards are listed in the provided texts, her extensive publication record indicates significant contributions to biomedical engineering research. Her advising and grant activities are not detailed here, but her involvement in the Iowa Institute for Biomedical Engineering suggests engagement in collaborative research initiatives. Her work interfaces with labs focused on biomedical imaging, cardiovascular mechanics, and tissue engineering.

Briana Morrisonمشاهده پروفایل

دانشیار

• Computer Science Education
• Cognitive Load Theory
• Subgoal Labeling in Programming
• +۷ مورد دیگر

Briana Morrison is an Associate Professor in the Department of Computer Science at the University of Virginia, within the School of Engineering and Applied Science. She is on the teaching track as part of the Academic General Faculty, focusing on computer science education. Prior to UVA, she served as an Assistant Professor at Southern Polytechnic State University (now Kennesaw State University) and the University of Nebraska Omaha. She holds a PhD in Human-Centered Computing from Georgia Tech and has over two decades of academic experience. Her educational background includes: Ph.D. in Human-Centered Computing, Georgia Institute of Technology M.S. in Computer Science, Southern Polytechnic State University B.S.E. in Computer Engineering, cum laude, Tulane University Briana Morrison's research focuses on applying principles from educational psychology to computer science education, particularly in the context of learning programming. Her work centers on cognitive load theory, subgoal labeling, worked examples, and broadening participation in computing. She is deeply engaged in improving K–12 access to qualified computing teachers and expanding the pipeline of CS educators through professional development and community-building initiatives. Her recent publications reflect a strong trend in computing education research, emphasizing empirical studies on instructional methods such as subgoal-labeled worked examples, dual-modality explanations, and self-explanation training. These works span journals and conferences like International Journal of STEM Education , Computer Science Education , and ICER, demonstrating sustained contributions to both theory and practice in CS education. Her scientific awards include: University of Nebraska Omaha Alumni IS&T Outstanding Teaching Award (2021) Georgia Tech College of Computing Dissertation Award (2018) Foley Scholars Finalist (2015) ICER Chairs’ Best Paper Award (2015) SPSU Outstanding Faculty Award (2002, 2007) Briana has been actively involved in advising and grant-funded research. She leads the Subgoal Labels for Learning Programming project, which investigates how structured problem-solving frameworks improve student success in introductory programming. She also co-leads a collaborative research initiative to grow computer science teachers in Iowa through partnerships with Area Education Agencies (AEAs). Her leadership extends to service roles as co-Chair of the ACM Education Board, member of the AP CS A Development Committee, Associate Editor of Transactions on Computing Education , and co-Editor-in-Chief of EngageCSEdu . She directs the Computing Education Center at UVA and has led the development of the Disciplinary Commons for Computing Educators (DCCE), fostering a community of practice among educators. Her work integrates outreach, curriculum design, and faculty development to strengthen computing education at all levels.

• Consciousness Studies
• Cognitive Neuroscience
• Sleep Deprivation Effects
• +۳ مورد دیگر

Anikó Kusztor is a Postdoctoral Research Fellow at Monash University, Australia, specializing in consciousness studies. She holds a PhD from Monash University and prior degrees from Eötvös Loránd University and the University of Oslo. Her research focuses on understanding how subjective experience transforms under conditions like sleep deprivation, dissociation, and dreaming, employing EEG and neuroimaging techniques. She is affiliated with Tlab (Qualia Structure Research) and M3CS (Monash Mind Modelling and Computational Systems), contributing to interdisciplinary projects on consciousness and open science. Education: BSc Psychology (Eötvös Loránd University), MSc Cognitive Neuroscience (University of Oslo), PhD (Monash University) Her work bridges cognitive neuroscience, clinical research, and computational modelling. Recent studies include investigations into color perception, arousal mechanisms, and the neural basis of dissociative disorders. She actively participates in journal clubs and conferences, promoting collaborative research in consciousness science. Articles highlight her contributions to understanding color qualia structures, the role of cardiac activity in age-related neural signals, and the neurobiology of grief. Her work emphasizes interdisciplinary approaches, integrating experimental and computational methods.

Anders Nymark Christensenمشاهده پروفایل

دانشیار

• Image Analysis
• Computer Vision
• Medical Imaging
• +۷ مورد دیگر

Anders Nymark Christensen is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), specializing in Visual Computing. His work bridges computer vision, medical imaging, and materials science, with a strong focus on explainable AI in clinical applications and structural analysis of complex materials. Institution: Technical University of Denmark (DTU) School: Department of Applied Mathematics and Computer Science Department: Visual Computing Role: Associate Professor Christensen’s research interests include image analysis, computer vision, explainable AI, ultrasound imaging, fetal medicine, and fiber orientation in composites. He applies advanced computational techniques to solve real-world problems in healthcare and materials engineering, particularly through structure tensor analysis and deep learning. His recent publications highlight a strong trend in developing AI tools for clinical decision support in fetal medicine, structural analysis of food and composite materials, and ultrasound imaging. These works span journals such as Scientific Reports , Food Structure , and IEEE Access , reflecting interdisciplinary innovation. Clinical validation of explainable AI for fetal growth scans Characterization of anisotropy in mozzarella cheese Determining fetal orientations from ultrasound video Structure tensor analysis in composites He supervises several PhD students in projects related to AI in skin lesion analysis, cancer detection, and ultrasound imaging. His collaborative network includes key researchers at DTU such as Anders Bjorholm Dahl, Vedrana Andersen Dahl, and Mads Nielsen. He has been involved in significant research grants and is active in both medical and engineering domains, contributing to open datasets and reproducible research. Christensen leads and contributes to numerous active projects, including: Decision Support AI for Skin Lesions (2024–2027) Fighting Cancer with Generative AI (2024–2027) SONAI: Explainable AI in the Clinic (2022–2026) Deep learning for identifying biomarkers in medical images (2022–2025) His work supports UN Sustainable Development Goals related to health, innovation, and responsible consumption, particularly through advancements in medical diagnostics and sustainable materials.