جست‌وجوی استاد و پژوهشگر

Michael Wimmerمشاهده پروفایل

استاد

• Computer Graphics
• Real-Time Rendering
• Point Clouds
• +۴ مورد دیگر

Univ.Prof. Michael Wimmer is a Professor in the Department of Computer Graphics and Visualization at TU Wien's Faculty of Informatics. His research focuses on real-time rendering, point cloud processing, GPU computing, and computational design. He leads projects involving architectural visualization, thermal simulation, and integrative design frameworks combining 4D sketching with material modeling. His work bridges computer graphics with applications in architecture and engineering. ORCID: 0000-0002-9370-2663 Research Group: Network Lab Recent research emphasizes GPU-accelerated algorithms (e.g., LOD generation for 2 billion points), real-time rendering techniques, and deep learning approaches for surface reconstruction. Collaborations span thermal simulation with civil engineers and 4D design tools for architects. Notable contributions include: Developing PPSurf for detailed surface reconstruction using point convolutions Advancing Vulkan-based rendering pipelines in academic settings Integrating light polarization for HDR imaging His lab explores applications in architectural design metaphors, computational material assessment via GeoRadar, and thermal simulation using precomputed radiative transport. Students under his supervision focus on GPU optimization, 3D reconstruction, and VR ergonomics.

Lim Mei Kuanمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Smart Manufacturing
• +۴ مورد دیگر

Lim Mei Kuan is a Senior Lecturer at the School of Information Technology, Monash University Malaysia. She holds a PhD in Computer Vision from Universiti Malaya and has conducted post-doctoral research in Artificial Intelligence. Her career includes roles as a researcher at MIMOS Berhad (2004-2007) and visiting researcher at Kingston University (2012-2013). Education: BSc (First Class Honours) in Computer Science, Universiti Malaysia Sarawak (2007) PhD in Computer Vision, Universiti Malaya (2015) Research Interests: Her work spans computer vision, machine learning, and their applications in smart manufacturing and digital health. Current projects include social media analytics for mental health monitoring, anomaly detection in manufacturing, and collaboration on clinical teletherapy systems. She actively explores swarm intelligence and deepfake detection technologies. Grants & Collaborations: DELTA: Inclusive Teletherapy (2022-2024) ADSM: Anomaly Detection for Smart Manufacturing (2022-2023) Sense-ED: Eating Disorder Relapse Detection (2021-2022) Awards: ITEX 2022 Silver Award for Self-Mind mental health app Labs & Teams: Active contributor to interdisciplinary projects with industry partners, focusing on AI-driven solutions for healthcare and manufacturing sectors.

• Biomedical Signal Processing
• Medical Imaging
• Explainable Artificial Intelligence
• +۳ مورد دیگر

Mario Cesarelli is a Professor at the University of Naples Federico II's Department of Biomedical Engineering, with an extensive publication record spanning over three decades. His research bridges engineering and clinical medicine, focusing on developing computational methods for disease diagnosis and patient monitoring through biomedical signal processing and artificial intelligence. Dr. Cesarelli's research spans multiple domains of biomedical engineering with particular emphasis on: Medical imaging analysis and radiomics for neurodegenerative disorders Explainable AI for cancer detection and diagnosis Biomechanics and motion analysis for neurological conditions Cardiac signal processing and analysis Generative models for medical image synthesis and authentication His recent publications demonstrate a strong trend toward explainable deep learning applications in healthcare, particularly for neurodegenerative diseases like Parkinson's and Alzheimer's, as well as various cancer diagnostics. The work increasingly focuses on model interpretability to build clinician trust in AI-assisted diagnosis. Dr. Cesarelli maintains extensive collaborations with a core research group including Paolo Bifulco (46 joint publications), Maria Romano (41), Gianni D'Addio (34), Antonella Santone (27), and Francesco Mercaldo (26), forming interdisciplinary teams that combine engineering expertise with clinical knowledge.

• Robotics
• Control Systems
• Mechatronics
• +۴ مورد دیگر

Dr. Almas Shintemirov is a Research Fellow at Aalto University's Department of Electrical Engineering and Automation, specializing in robotics, control systems, and human-robot interaction. His research focuses on intelligent robotics, with emphasis on Real-time motion prediction for collaborative robots Nonlinear control algorithms for safe human-robot interaction Open-source robotic hardware design Deep learning applications in autonomous systems

Gerald Zaunerمشاهده پروفایل

استاد

• Image Processing
• Thermography
• Non-Destructive Testing
• +۵ مورد دیگر

Gerald Zauner is a Professor at FH Wels (University of Applied Sciences Wels) specializing in image processing, thermography, and non-destructive testing. His research primarily focuses on railway infrastructure, computer vision, and artificial intelligence applications in engineering contexts. His research interests include: Image Processing and Computer Vision for industrial applications Thermography and Non-Destructive Testing techniques Railway infrastructure monitoring and maintenance systems Artificial Intelligence applications in engineering Heat treatment processes and energy harvesting Professor Zauner's recent research has focused on developing AI-powered systems for railway infrastructure analysis, including automatic object detection in radargrams, high-speed rolling mark detection, and track maintenance technologies. His work bridges the gap between theoretical computer vision techniques and practical engineering applications, particularly in the railway sector. He has been involved in several significant research projects: FLARE - Fast and reliable human-centered-AI for high-rate non-destructive evaluation (2025-2027) as Co-Investigator BF-Energie aus Abwärme - Energy Harvesting with Thermoelectricity (2016-2018) as Principal Investigator BiKoPla (Biozide Kunststoffoberflächen mittels Plasmaabscheidung) (2013-2017) as Principal Investigator Professor Zauner has made significant contributions to the field with over 100 research outputs, including patents, journal articles, and conference papers. His work has been cited over 300 times, demonstrating its impact in the engineering and computer vision communities.

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.

Chrysanthos Maraveasمشاهده پروفایل

استادیار

• Agricultural Engineering
• Sustainable Materials
• Artificial Intelligence Applications
• +۵ مورد دیگر

Chrysanthos Maraveas is an Assistant Professor at the Department of Technology and Natural Resources Management & Agricultural Engineering in the School of Environment and Agricultural Engineering at the Agricultural University of Athens since 2022. He earned his PhD in Structural Engineering from the University of Manchester and has held postdoctoral research positions at the University of Liège (EU-funded) and the University of Patras (Greek Ministry of Development-funded). Research Interests : Applications of AI and quantum computing in agriculture Sustainable materials and biodegradable polymers from agricultural waste Internet of Things (IoT) for greenhouse optimization Structural durability and corrosion resistance in agricultural environments Plastic waste management in agrifood systems 4D printing for sustainable agricultural plastics Scientific Recognition : Ranked in the top 2% of scientists worldwide by Stanford University (based on citations and h-index) Publications focus on: Cybersecurity in Agriculture 4.0/5.0 Smart sensors and edge computing for resource management Biopolymer innovations and nanotechnology Structural analysis of agricultural systems Sustainable construction materials from agro-waste Fire resistance in steel and composite structures

Brett Benzمشاهده پروفایل

پژوهشگر

• Phylogenomics
• Biogeography
• Phylogenetic Ethology
• +۲ مورد دیگر

Dr. Brett Benz is the Collection Manager for Birds and an Assistant Research Scientist at the University of Michigan’s Museum of Zoology (UMMZ), affiliated with the Department of Ecology and Evolutionary Biology. His work focuses on avian evolutionary processes, biogeography, and specimen-based research in tropical ecosystems. His research explores drivers of avian diversification in tropical montane landscapes, testing community assembly theories and island biogeography. He conducts fieldwork in Melanesia, particularly New Guinea highlands and Bismarck Archipelago, with 23 international expeditions to date. Current projects include digitizing over 4,000 egg sets and 14,000 songbird skeletal specimens using 2D imaging and computer vision to study morphological evolution. Education: Ph.D., University of Kansas B.S., University of Kansas He maintains an active field program studying Amblyornis bowerbirds in New Guinea, focusing on phylogenetic ethology and behavioral selection. His digitization efforts aim to enhance access to fragile collections while preserving specimens for future research.

• Naval Engineering
• Marine Propulsion
• Hybrid Propulsion Systems
• +۶ مورد دیگر

Raphael Zaccone serves as an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, where he is an active member of the department board. He teaches core courses including Military Ships (NAVI MILITARI), Naval Propulsion (PROPULSIONE NAVALE), and Naval Plants (IMPIANTI NAVALI) for the Naval Engineering degree program, as well as Ship Plants and System Safety for Maritime Science and Technology students. His research centers on sustainable maritime innovation, with primary focus areas in hybrid propulsion systems, alternative fuels (particularly methanol conversions), ship safety protocols, and autonomous navigation technologies. Key specialties include energy management strategies for reducing environmental impact, structural solutions for yacht refits, and collision avoidance algorithms compliant with international maritime regulations. His work bridges theoretical modeling with practical engineering applications to address critical challenges in modern naval architecture. Recent publications (2023-2025) reveal a pronounced trend toward maritime cybersecurity and AI-driven safety systems, with significant emphasis on LiDAR-based situational awareness, battery storage optimization for naval vessels, and evaluation frameworks for alternative marine fuels. Approximately 40% of his current work addresses autonomous ship navigation challenges, while 30% focuses on decarbonization through methanol propulsion and waste heat recovery systems, demonstrating strategic alignment with global maritime sustainability initiatives.

• Lighting Design
• Urban Lighting
• Museum Lighting
• +۲ مورد دیگر

Malcolm Innes is a Senior Lecturer at the Edinburgh Napier University's School of Arts and Creative Industries . With over 10 years of research outputs, his work spans lighting design, smart textile applications, and heritage conservation. Specializes in lighting for historical sites Leader in community co-design urban lighting Expert in light-sensitive material preservation Research trends focus on: Merging art and science in illumination Smart textiles for performance environments Heritage site lighting innovation Projects include: 12 Closes Community Co-design (2016-2022) Dunbar SciFest Projection (2015) Edinburgh Zoo Night Trail (2014-2015)

Jerry Liمشاهده پروفایل

دانشیار

• learning theory
• quantum information theory
• large foundation models
• +۴ مورد دیگر

Jerry Li is an associate professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. Previously, he was a principal research scientist at Microsoft Research Redmond and was the VMware Research Fellow at the Simons Institute in Fall 2018. Li completed his Ph.D. at MIT under the supervision of Ankur Moitra and his master's degree at MIT under Nir Shavit. As an undergraduate, he also attended the University of Washington, where he worked on complexity of branching programs and hardness of learning problems in database theory and AI. His primary research interests focus on learning theory broadly defined, with specific expertise in quantum information theory, large foundation models, and high-dimensional statistics. He has a particular interest in applying analysis and analytic techniques to theoretical computer science problems. His recent work spans quantum computing, robust machine learning, and theoretical foundations of deep learning, showing a clear trend toward bridging quantum information theory with statistical learning theory. Li has made significant contributions to the fields of robust statistics, quantum computing, and theoretical machine learning, with numerous publications in top-tier conferences and journals including FOCS, STOC, NeurIPS, ICML, and Science. His work often bridges theoretical guarantees with practical applications in machine learning systems, particularly in the areas of robustness and quantum advantage. George M. Sprowls Award for outstanding Ph.D. theses in EECS at MIT Best Artifact Award at PPoPP 2015 for "The SprayList: A Scalable Relaxed Priority Queue" Communications of the ACM Research Highlights for "Robust Estimators in High Dimensions without the Computational Intractability" Invited to special issues of SIAM Journal on Computing for FOCS 2023 and STOC 2022 Spotlight Presentations at NeurIPS 2019 Notable top 5% paper at ICLR 2023 Li advises several Ph.D. students including Ziyun Chen (co-advised with Shayan Oveis Gharan) and numerous research interns. He has served on program committees for major conferences including STOC, SODA, and ITCS, and is co-organizing the FOCS 2024 Workshop on Recent Advances in Quantum Learning. His teaching includes courses such as CSE 422: Toolkit for Modern Algorithms and CSE 599-M: Robustness in Machine Learning, for which he has created publicly available video lectures.

Massimo Mecellaمشاهده پروفایل

استاد

• Service-Oriented Computing
• Business Process Management
• Process Mining
• +۱۲ مورد دیگر

Massimo Mecella serves as Full Professor at Sapienza University of Rome's Faculty of Information Engineering, Computer Science and Statistics, where he leads the Processes, Services and Software Management research group and participates in the CINI National Cyber Security Lab. His academic foundation stems from a PhD in Computer Engineering earned at Sapienza in 2002. His research expertise spans service-oriented computing, business process management, and cyber-physical systems with emphasis on service composition, process mining, and adaptive distributed architectures. Key technical domains include IoT integration, digital twin development, and security frameworks for complex software ecosystems. Recent publications (2024-2025) demonstrate a pronounced shift toward Large Language Model (LLM) integration in business processes and smart manufacturing. Dominant themes include LLM-driven process modeling, multimodal quality control systems, and digital twin implementations for energy management and production optimization. Methodological innovations focus on retrieval-augmented generation (RAG) for service discovery and fuzzy cognitive maturity assessments. His distinguished recognition includes: ICSOC 2013 Most Influential Paper Award (2003-2012 decade) 2017 Best Paper Award As research group leader, Mecella directs projects in smart manufacturing, process mining, and cyber-physical security, with funding typically sourced from EU initiatives and industry partnerships in aerospace, healthcare, and energy sectors. His team maintains active collaborations with aerospace manufacturers through the MICS SPOKE8 project and develops frameworks like SAMBA for human-in-the-loop manufacturing systems. The Processes, Services and Software Management group operates within Sapienza's engineering faculty infrastructure, utilizing specialized labs for CPS/IoT testing and digital twin simulation, with strong ties to the CINI Cyber Security Lab for security validation.

Shounak Roychowdhuryمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Shounak Roychowdhury is an Associate Professor of Practice at the School of Information, University of Texas at Austin. He holds a PhD in Computer Engineering from the University of Texas at Austin (2013) and an MS in Computer Science from the University of Tulsa (1997). His teaching focuses on foundational and advanced topics such as Computer Vision, Database Management, Programming, and Data Science. Recent courses include INF 385T: Special Topics in Information Science: Computer Vision (2025) and I 320D: Topics in Human-Centered Data Science: Database Design (2024). Roychowdhury's research spans Computer Science , Machine Learning , and Software Engineering , with a focus on probabilistic methods, fuzzy systems, and medical informatics. His work explores areas like fault localization in software, data clustering optimization, and applying generative models to healthcare analytics. He has also contributed to fuzzy logic applications in decision-making and pattern recognition. His publications highlight interdisciplinary approaches, including Alzheimer’s disease modeling with GANs and color space analysis in art through probabilistic divergences. While no scientific awards are listed, his work reflects sustained contributions to theoretical and applied computing. Roychowdhury advises no listed students but maintains an active teaching role. No specific grants or labs are mentioned, though his research aligns with computational and data-driven methodologies.

Casimir Ludwigمشاهده پروفایل

استاد

• Cognitive Science
• Decision-Making
• Reinforcement Learning
• +۳ مورد دیگر

Professor Casimir Ludwig holds the position of Professor of Cognitive Science at the School of Psychological Science, University of Bristol. His research focuses on computational cognitive models, decision-making processes, reinforcement learning, and visual attention mechanisms. He has contributed significantly to understanding how humans integrate sensory information to make decisions, particularly in contexts involving uncertainty and environmental dynamics. Key research areas include the interplay between attention and decision-making, the impact of emotional and contextual factors on cognitive processes, and the development of datasets like the 'Epic-tent' egocentric video dataset for studying assembly tasks. His work bridges theoretical neuroscience, machine learning, and experimental psychology to address fundamental questions about human behavior and artificial intelligence. Notable contributions include studies on reinforcement learning under uncertainty, the role of background stimuli in decision policies, and the limitations of disentangled models in generalization tasks. His interdisciplinary approach integrates methodologies from psychology, computer science, and neuroscience to advance cognitive science as a field. Professor Ludwig collaborates with faculty across disciplines, including robotics and computer vision experts at the University of Bristol, to explore applied problems such as human-robot interaction and activity recognition from visual data.

Tomasz Woloszynskiمشاهده پروفایل

مدرس

• Biomechanics
• Medical Imaging
• Tribology
• +۲ مورد دیگر

Tomasz Woloszynski is a Lecturer in the School of Civil and Mechanical Engineering at Curtin University. His research focuses on medical image analysis of knee joints and numerical optimization of wear surfaces. He holds dual PhDs in Electronic Engineering from Wroclaw University of Technology and Mechanical Engineering from the University of Western Australia. Research areas include automated classification of wear patterns, surface texture analysis, and computational methods for diagnosing osteoarthritis from medical images. His work develops innovative approaches to characterize tribological surfaces and predict joint degeneration through advanced imaging techniques. Publication analysis shows consistent focus on tribology, surface engineering, and medical diagnostics. Recent work develops automated systems for wear surface classification while maintaining an ongoing research thread in osteoarthritis prediction using bone texture analysis and machine learning methods.