جست‌وجوی استاد و پژوهشگر

Muhammad Ali Gulzarمشاهده پروفایل

استادیار

• Fault Localization
• Big Data systems
• Data Intensive scalable computing
• +۵ مورد دیگر

Muhammad Ali Gulzar is an Assistant Professor in the Computer Science Department at Virginia Tech and an Amazon Scholar at Amazon Web Services. His research focuses on improving developer productivity through automated debugging and testing for applications in emerging domains, including data-intensive software such as dataflow programs, ML/AI applications, and computational notebooks. Education Ph.D. in Computer Science from University of California, Los Angeles (Google Ph.D. Fellow 2017-2020) Research Interests Gulzar's research spans three primary areas: (1) automated tracking-code localization techniques in web applications, (2) re-engineering testing and debugging for data-intensive applications, and (3) advancing current testing and debugging practices in Federated Learning Applications. His work addresses the challenges of debugging in complex systems where traditional approaches fail due to the scale and distributed nature of modern applications. His research has significant implications for improving software quality, developer productivity, and accessibility in web applications. Research Trends Recent publications demonstrate a strong focus on debugging and testing challenges in emerging application domains. His work bridges traditional software engineering with machine learning, data-intensive systems, and web technologies. Notably, he has made significant contributions to Federated Learning debugging (FedDebug), accessibility challenges in ad-driven web applications, and semantic caching for Large Language Models. His approach often combines novel algorithmic insights with practical implementations that address real-world challenges in software development and maintenance. Scientific Awards Google Ph.D. Fellow (2017-2020) $1.1 million NSF award for Federated Learning research ACM CCS 2024 Distinguished Artifact Award Advising and Grants Gulzar leads a productive research group with multiple students contributing to publications in top-tier venues. His NSF-funded research on Federated Learning demonstrates his ability to secure competitive funding for innovative projects. His advising style appears to emphasize practical impact alongside theoretical contributions, with students often taking lead roles in publications. Current research directions include debugging techniques for Large Language Models, accessibility challenges in modern web applications, and novel testing approaches for distributed data processing systems.

• Design
• Human-Computer Interaction
• Behavior Change
• +۶ مورد دیگر

Geke Dina Simone Ludden serves as Full Professor of Interaction Design at the University of Twente's TechMed Centre within the Faculty of Electrical Engineering, Mathematics and Computer Science. Her interdisciplinary work bridges human-computer interaction, health technology, and behavioral design. Her research focuses on behavior change through digital interventions , particularly in health contexts. Key areas include cognitive health for aging populations , wearable stress management technologies , and human-building-technology interactions in healthcare environments. She employs co-design methodologies and user-centered approaches to develop tools supporting wellbeing and aging-in-place solutions. Recent publications reveal strong trends in applied health informatics (62% of 2023-2025 output), with significant emphasis on Dutch aging populations and cross-cultural healthcare comparisons . Her work consistently integrates mediation theory and socio-technical frameworks to analyze technology adoption barriers. Ludden actively supervises academic work, having examined 6 doctoral theses since 2020 on topics ranging from hand rehabilitation devices to biodiversity UX implementations. She directs the TechMed Centre's research initiatives focused on translating interaction design principles into clinical applications, particularly through the MattPod sensory dining project and cognitive health toolkits.

Cecilia Mascoloمشاهده پروفایل

استاد

• Mobile Systems
• Wearable Computing
• Health Informatics
• +۳ مورد دیگر

Professor Cecilia Mascolo serves as Professor of Mobile Systems at the University of Cambridge, leading the Mobile Systems Research Laboratory within the Department of Computer Science and Technology. She additionally directs the Mobile and Wearable Systems and Augmented Intelligence Centre and holds the position of Chief Scientific Officer at auryx. Her pioneering research establishes fundamental building blocks for wearable and mobile devices, with transformative applications in health diagnostics. Key contributions include mobile audio systems for respiratory health monitoring and innovative hearable computing frameworks for fitness and wellness tracking, bridging engineering with medical applications. Professor Mascolo's exceptional impact on engineering innovation was formally recognized through her 2025 election as a Fellow of the Royal Academy of Engineering (FREng), which honors the UK's foremost engineering researchers and industry leaders.

John McDonaldمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Artificial Intelligence
• +۴ مورد دیگر

John McDonald is a Professor in the Department of Computer Science at Maynooth University, where he has held a faculty position since 2001. He is affiliated with the Maynooth University Hamilton Institute and the Assisted Living and Learning Institute (ALL). His research focuses on computer vision, robotics, and AI, emphasizing spatial perception and autonomous systems. He has contributed to areas such as visual SLAM, intelligent vehicle systems, and digital holography, with funding from SFI, EU, and other agencies. Currently, he is a Funded Investigator in Lero (SFI Research Centre for Software) and collaborates on the SFI Blended Autonomy Vehicles Spoke. Key research themes include simultaneous localization and mapping (SLAM), robotic navigation, 3D reconstruction, and applications in autonomous driving. His work integrates cutting-edge techniques in computer vision and machine learning to address challenges in spatial intelligence and perception. Publications highlight advancements in dense mapping, fisheye camera systems, and geospatial analysis. He has held visiting roles at MIT’s CSAIL and the National Centre for Geocomputation. His contributions span academic journals, conferences, and technical reports, reflecting a strong emphasis on both theoretical and applied robotics research. John McDonald has supervised numerous research projects and contributed to initiatives like the John and Pat Hume Doctoral Scholarships. His work bridges academia and industry, with a focus on real-world applications of autonomous systems and AI-driven robotics.

Ying-Cheng Laiمشاهده پروفایل

استاد

• Physics of 2D Dirac materials
• Nonlinear dynamics
• Systems and synthetic biology
• +۵ مورد دیگر

Ying-Cheng Lai is an ISS Endowed Professor of Electrical Engineering and Affiliated Professor of Physics at Arizona State University, with a 20-year track record in academic leadership. His research bridges classical and quantum dynamics, pioneering fields like Relativistic Quantum Chaos (RQC) and transient chaos theory, impacting materials science, nanotechnology, and medicine. Developed RQC to study chaos in relativistic quantum systems Authored Transient Chaos (Springer, 2011), redefining natural system dynamics Advanced seizure prediction through nonlinear dynamics Innovated compressive-sensing applications in network science Awarded PECASE, NSF Career, and Vannevar Bush Fellowships, Lai collaborates globally across Europe, Asia, and China, generating 80+ high-impact publications in five years. His lab trains influential researchers and hosts visiting scholars worldwide.

Rajesh Krishna BALANمشاهده پروفایل

استاد

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Learning & Work
• +۹ مورد دیگر

Rajesh Krishna BALAN is a Full-Time Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU) . His research focuses on Human-Machine Collaborative Systems , Pervasive Sensing , and Health & Wellbeing technologies. Based in Singapore, he leverages mobile computing to address urban sustainability and quality-of-life challenges. PhD from Carnegie Mellon University (2006) Specializes in WiFi sensing , VR/AR , and health monitoring Advises PhD students in areas like urban mobility , empathetic design , and cyber-physical systems Beyond academia, BALAN's work bridges ubiquitous computing and public health , with applications in ageing populations , mental health analytics , and smart city optimization . His recent publications highlight cross-disciplinary approaches to sleep analysis , group behavior modeling , and contactless physiological sensing . BALAN actively contributes to educational technology through projects like Technology-Enhanced Learning frameworks. He is also a mentor in collaborative research areas including biomedical informatics and lifestyle monitoring , with a focus on mobile GPU optimization and low-power systems .

Kunhee (KC) Choiمشاهده پروفایل

استاد

• Artificial Intelligence in Transportation
• Construction Management
• Infrastructure Sustainability
• +۶ مورد دیگر

Kunhee (KC) Choi is a Professor in the Department of Construction Science at Texas A&M University, holding the History Maker Homes Endowed Professorship and serving as a Chancellor EDGES Fellow. His research focuses on enhancing transportation systems through cyber-enabled solutions, including digital twinning, artificial intelligence, and data-driven modeling. B.E. in Architectural Engineering, Korea University (1999) M.S. in Construction Science, Texas A&M University (2002) Ph.D. in Civil and Environmental Engineering, University of California, Berkeley (2008) Dr. Choi’s work addresses four key areas: (1) AI-powered mobility and safety solutions for highway projects, (2) cost-time-risk tradeoff analyses under alternative contracting methods, (3) infrastructure sustainability through life-cycle assessment, and (4) stochastic modeling for civil planning and management. His research has been funded by NSF, USDOT, NCHRP, and TxDOT. Recent publications highlight his emphasis on predictive analytics, flood resilience, pavement engineering, and AI-driven disaster recovery frameworks. The i²dEAS Lab, which he directs, has produced 130+ peer-reviewed publications and secured $500k+ in annual research funding. Chancellor EDGES Fellow (2022) NSF Grant Recipient for Road Safety Research Texas Sea Grant Program Award (NOAA Funding) for AI-based evacuation route modeling Dr. Choi’s teaching philosophy emphasizes integrative learning and interdisciplinary critical thinking in construction management. His lab collaborates with academia, government, and industry to optimize transportation infrastructure performance through safer, more efficient management strategies.

Sergey Gorbunovمشاهده پروفایل

دانشیار

• Cryptography
• Network Security
• Blockchain Technology
• +۴ مورد دیگر

Sergey Gorbunov is an Associate Professor in the Department of Computer Science at the University of Waterloo . He holds a Ph.D. from MIT (2015), an M.Sc. and H.B.Sc. from the University of Toronto (2012 and 2011, respectively). His research focuses on Cryptography, Network Security, Blockchain Technology, Secure Protocols, and Privacy-Preserving Systems . He explores advanced cryptographic techniques for decentralized systems, privacy-enhancing technologies, and secure communication protocols. His work includes pioneering contributions to blockchain security (e.g., mitigating front-running attacks, enhancing transaction privacy) and foundational cryptographic tools like homomorphic encryption and multi-signature schemes. Recent publications emphasize resilient consensus mechanisms, anonymous payment channels, and efficient cryptographic primitives for distributed systems. Notable projects include Astrape (anonymous payment channels), Algorand Agreement (fast Byzantine consensus), and StealthDB (encrypted SQL databases). His research bridges theoretical cryptography with practical applications in secure computing and decentralized technologies.

Jian Zhaoمشاهده پروفایل

دانشیار

• Information Visualization (InfoVis)
• Human-Computer Interaction (HCI)
• Data Science
• +۶ مورد دیگر

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

• Physical Activity
• Public Health
• Global Health
• +۳ مورد دیگر

Michael Pratt is a Professor in the Division of Global Health at the Herbert Wertheim School of Public Health & Human Longevity Science School, UC San Diego. He specializes in physical activity and public health, with expertise in global health, chronic disease prevention, and evidence-based interventions. Previously, he served as a Visiting Professor at Emory University and held roles at the CDC, including Senior Advisor for Global Health and Chief of the Physical Activity and Health Branch. He founded the CDC-WHO Collaborating Center for Physical Activity and led initiatives like the International Physical Activity and Public Health Course. His education includes a Master's in Exercise Physiology and MD from the University of Washington, residency at the Mayo Clinic, and a Master's in Public Health from the University of Minnesota. He is a Fellow of the American College of Preventive Medicine and American College of Sports Medicine. Research interests focus on global research capacity building for physical activity, intervention strategies, and policy implementation. His work emphasizes the intersection of urban environments, health equity, and policy effectiveness. Recent publications highlight trends in physical activity surveillance, policy disconnects, and WHO guidelines. He leads the Global Observatory for Physical Activity (GoPA!), tracking global progress in physical activity initiatives. Scientific awards include Fellowships in preventive medicine and sports medicine. His grants and advising roles are not explicitly detailed but align with his research themes. He collaborates with institutions worldwide and co-authors studies on physical activity policy, environment impacts, and global health disparities.

• Materials Science
• Nanotechnology
• Photochemistry
• +۶ مورد دیگر

Elina Vuorimaa-Laukkanen is a University Lecturer at Tampere University's Faculty of Engineering and Natural Sciences, Department of Materials Science and Environmental Engineering, and a Docent in Pharmaceutical Nanotechnology at the University of Helsinki's Faculty of Pharmacy. She leads the research team Supramolecular Chemistry of Bio- and Nanomaterials , focusing on light-driven studies of biological processes, solid-phase behavior, and drug release activation. Her work spans multidisciplinary collaboration with chemists, pharmacists, biologists, and physicists. Education : Doctor of Philosophy (Technology), Tampere University, 1994 Licentiate of Philosophy (Chemistry), University of Helsinki, 1993 Research Interests : Her expertise includes Photochemistry and Nanotechnology of self-assembling materials (phospholipids, polymers, proteins, oligo/polynucleotides), Time-resolved Spectroscopy , Fluorescence Lifetime Microscopy , and Langmuir-Blodgett Films . She develops methods to track drug nanocarriers interacting with living cells and investigates Extracellular Vesicles for theranostic platforms. Recent Publications highlight advancements in Chitosan-hyaluronate polyplexes for oligonucleotide delivery, Fluorescence Anisotropy for nanocarrier analysis, and Self-assembly of copoly(2-oxazoline)s for drug encapsulation. Collaborations : She works within Tampere University's Chemistry & Advanced Materials Research Cluster , PREIN Photonics Flagship, GeneCellNano, and the EVE Extracellular Vesicle Ecosystem projects. Teaching : Responsible for Physical Chemistry and Lab Safety courses in the chemistry curriculum.

Timothy H. Murphyمشاهده پروفایل

استاد

• Neuroscience
• Stroke Recovery
• Brain Circuit Mapping
• +۵ مورد دیگر

Dr. Timothy H. Murphy is a Professor in the Department of Psychiatry at the University of British Columbia's Faculty of Medicine. He is also an Associate Member of the School for Biomedical Engineering and a Member of the Djavad Mowafaghian Centre for Brain Health. Dr. Murphy leads the Dynamic Brain Circuits in Health and Disease initiative and the Division of Neuroscience and Translational Psychiatry at UBC. Dr. Murphy received his Ph.D. from Johns Hopkins University in 1989 and his B.Sc. from Saint Mary's College Maryland in 1984. His research focuses on understanding brain circuit structure-function relationships in relation to stroke recovery, psychiatric disorders, and neurological diseases. He specializes in mesoscale imaging techniques to study cortical activity patterns and develop automated approaches for brain imaging and stimulation. His laboratory develops innovative tools including open-source hardware for automated mouse brain imaging, synthetic data generation for behavioral analysis, and chronic recording systems that enable simultaneous mesoscale cortical imaging with subcortical or peripheral nerve activity monitoring. Research from the Murphy Lab has significantly advanced our understanding of how brain circuits reorganize after stroke and in models of psychiatric disorders. Dr. Murphy's recent publications reveal trends in mesoscale cortical imaging, development of synthetic data for behavioral analysis, and exploration of circuit-level changes in neurological and psychiatric disease models. His work bridges basic neuroscience with potential clinical applications for stroke recovery and mental health treatments. Dr. Murphy has mentored numerous students and postdoctoral fellows who have gone on to successful careers in neuroscience and related fields. His laboratory has received funding to support innovative approaches to understanding brain circuit function and recovery mechanisms. The Murphy Lab maintains strong collaborative ties across UBC and develops open-source tools that are widely adopted by the neuroscience community. Their work on automated home-cage imaging systems, synthetic behavioral data generation, and chronic recording technologies represents significant methodological advances in the field.

• Marketing
• Machine Learning
• Data Analytics
• +۳ مورد دیگر

Dr. Jiang Qian is a Lecturer at the University of Sydney. He holds a PhD in Marketing from the University of Houston, a Master’s in Finance from Johns Hopkins University, and an undergraduate double major in Information Systems and Finance from the Southwestern University of Finance and Economics. His research focuses on leveraging quantitative models and machine learning techniques to extract insights from large-scale data in marketing and healthcare contexts, particularly in social media, online search, and healthcare markets. Current research supervision includes Jennifer Ye’s project on Audio Data Analytics: A New Dimension in Customer Service Excellence . Dr. Qian’s recent work spans AI applications in breast cancer detection, medical imaging analysis, and reinforcement learning for autonomous systems. His studies address challenges like AI model calibration, training data quality, and radiologist-AI collaboration in clinical settings. Notable contributions include analyzing video cover image impacts on advertisement engagement and exploring multiresolution techniques for medical imaging segmentation. His interdisciplinary approach bridges marketing analytics and healthcare technology, emphasizing practical clinical translation of AI systems.

• Radiation Oncology
• Medical Physics
• Cancer Treatment
• +۳ مورد دیگر

Dr Emily Hewson is a Cancer Institute NSW Early Career Fellow and member of the Sydney School of Health Sciences at the University of Sydney's Faculty of Medicine and Health. Her research focuses on advancing real-time radiation therapy techniques, particularly in managing intrafraction motion for prostate and other cancers. She leads projects involving multileaf collimator (MLC) tracking, dose optimization, and deep learning integration in radiation oncology. Research interests include adaptive radiotherapy systems, kilovoltage intrafraction monitoring (KIM), and clinical trial implementation (e.g., TROG 15.01 SPARK trial). Her work emphasizes improving treatment accuracy through real-time dose-guided approaches and multitarget tracking for tumors with complex motion patterns. Developed experimental validations for MRI-linac integration and MLC tracking systems Authored a textbook chapter on Adaptive Radiation Therapy (ART) Recipient of Cancer Institute NSW Early Career Fellowship (2023) Recent grants include an AI platform for targeted radiotherapy (2024) and national critical infrastructure funding for lung cancer applications (2023). Her lab collaborates on real-time dose calculation algorithms and clinical trial implementation across multiple institutions.

Curt Lamberthمشاهده پروفایل

پژوهشگر

• Eco-hydrology
• Wildlife Tracking Technology
• Environmental Sensor Networks
• +۲ مورد دیگر

Dr. Curt Lamberth is a Visiting Researcher at the University of Oxford with a multidisciplinary background spanning chemistry, industry, and environmental consulting. His research combines electronic instrumentation development with ecological conservation, focusing on creating innovative tracking systems for small mammals and environmental monitoring networks. Key research areas include: Designing RFID-based wildlife tracking systems for ecological studies Developing intelligent trapping technologies to refine animal research practices Establishing wireless microclimate monitoring networks for habitat analysis Applying technology to ash dieback disease impact assessment in woodlands Dr. Lamberth leads the development of novel RFID devices for the NC3Rs-funded project aimed at reducing animal usage in small mammal research. His current fieldwork at Wytham Woods involves deploying long-range spatial loggers and intelligent traps to study wood mice behavior while prioritizing animal welfare and data quality.