جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• Accelerated Machine Learning
• Computer Science Education
• +۳ مورد دیگر

Thomas Yeh is an Assistant Professor of Teaching in the Department of Computer Science at the University of California, Irvine. His academic background includes a Ph.D. in Computer Science from UCLA and a BS in Electrical Engineering and Computer Science from UC Berkeley. Prior to academia, he gained industry experience across research, architecture, design, verification, marketing, and management roles. His educational credentials: Ph.D. in Computer Science, UCLA BS in Electrical Engineering and Computer Science, UC Berkeley Dr. Yeh's research spans computer architecture, accelerated machine learning, and computer science education. In architecture, he pioneers error-tolerant physics simulation and heterogeneous computing. His ML work focuses on adaptive precision techniques for energy-efficient acceleration. In education, he develops interactive tools for novice programmers and experiential learning frameworks for computer architecture. His cross-disciplinary approach bridges hardware-software co-design with pedagogical innovation. Publication trends reveal consistent focus on computational efficiency across physics simulation, ML acceleration, and educational technology. His work connects real-time systems optimization with emerging AI applications, particularly in interactive environments and physics-based animation. No scientific awards are documented in the provided materials. While advising details and grant funding specifics are absent from available information, his industry-academia transition informs practical research directions. Teaching responsibilities include core courses like Introduction to CS, Data Structures, and Efficient ML Computing. Research infrastructure details remain unspecified, though his publications suggest collaborations in physics simulation and heterogeneous computing environments.

• Development Economics
• Political Economy
• Public Economics
• +۳ مورد دیگر

Dr. Martin Mattsson is an Assistant Professor in the Department of Economics at the National University of Singapore (NUS). He holds a PhD in Economics from Yale University, an MPA/ID from Harvard University, and a BA in Economics and Management from the University of Oxford. His research focuses on improving government institutions, including large-scale field experiments in Bangladesh on performance scorecards and village courts. Current work addresses air pollution reduction in South Asia, aligned with Effective Altruism principles. Teaching includes courses on Effective Altruism (HS2921), Applied Econometrics (EC4305), and Advanced Development Economics (EC6371). His research spans Development Economics, Political Economy, and Public Economics, with notable projects analyzing corruption, public sector governance, and environmental policy. Recent studies investigate reelection incentives and corruption in India, internet shutdowns' economic impacts, and air purifier adoption in Bangladesh. He co-authored works on education's anti-corruption effects in Vietnam and frontline bureaucrats' compensation in India. Mattsson actively advises through NUS's Economics PhD program and collaborates with organizations like JPAL South Asia. His work emphasizes scalable solutions for global welfare improvement.

TAN Wee Kekمشاهده پروفایل

دانشیار

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Consumer-based Information Technology
• +۵ مورد دیگر

Dr. TAN Wee Kek is an Associate Professor (Educator Track) in the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. He served as Assistant Dean in the School's Office of Student Life from 2019 to 2024 and has been a Fellow of the NUS Teaching Academy since 2017. He holds a Doctor of Philosophy in Information Systems and Bachelor of Computing in Information Systems (First Class Honours) from NUS, and previously earned a Diploma in Computer Information Systems from Singapore Polytechnic. His research focuses on Technology-Enhanced Learning (TEL), particularly artificial intelligence applications in education, and consumer-based information technology including online decision aids, social computing, virtual worlds, and consumer cloud services. His methodological approach primarily employs design science paradigms. Publication analysis reveals his scholarly work spans educational technology, e-commerce systems, human-computer interaction, and information systems pedagogy, with recent emphasis on learning analytics and AI-enhanced educational frameworks. Major Honors: Commendation Medal from Singapore's President (2017) Multiple Annual Teaching Excellence Awards (2009-2024) Crystal Service Award, WorldSkills Singapore Council (2018) Lee Kuan Yew Award for Mathematics and Science (2001)

Shuangquan Wangمشاهده پروفایل

استادیار

• Mobile & Wearable Computing
• Activity Recognition
• Smart Health
• +۳ مورد دیگر

Shuangquan (Peter) Wang is an Assistant Professor of Computer Science at Salisbury University. He holds a PhD in Computer Science from the College of William & Mary (2020) and a PhD in Pattern Recognition and Intelligent Systems from Shanghai Jiao Tong University (2008), along with earlier degrees from Wuhan University of Technology and Wuhan Institute of Technology. His research focuses on mobile/wearable computing, activity recognition, smart health, and machine learning. He has over 10 years of experience in academia and industry, including roles at Philips Research East Asia and Nokia Research Center (Beijing). His work emphasizes wearable sensor-based health monitoring, such as fall detection, mastication analysis, and Parkinson’s disease monitoring. He leads the WISH Research Lab and serves as an Associate Editor for Elsevier's Smart Health Journal. Recent contributions include papers on salinity anomaly detection (2024), LLM-based user requirement analysis (2024), and socially acceptable food recognition (2022). His research trends emphasize interdisciplinary applications of machine learning in healthcare and sensor-driven human activity analysis. Professional service roles include coordinating Salisbury University’s Center for Applied Mathematics and Science (2021–2024) and chairing ACM/IEEE CHASE conferences. He has delivered invited talks on artificial intelligence and its societal impacts to diverse audiences, including the Institute of Retired Persons at Salisbury University. His lab, WISH Research Lab, explores innovative solutions in smart health and mobile computing, integrating wearable technologies with machine learning for real-world health applications.

• Robotics
• Human-Robot Interaction
• Social Robotics
• +۵ مورد دیگر

Associate Professor David Rye is an Honorary Associate Professor in the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney, affiliated with the Australian Centre for Field Robotics. His research focuses on interdisciplinary robotics, blending engineering, social sciences, and art to explore human-robot interaction, tactile sensing, and autonomous systems. Key areas include social robotics, cooperative robot behavior, and creative robotics design. His work spans theoretical and applied robotics, including studies on robot collaboration dynamics, tactile feedback systems, and robotic excavation. Notable contributions include developing EIT-based sensitive skins for robots and analyzing human comfort in multi-agent interactions. He has led projects such as the Fish-Bird art-robotics collaboration and the experimental human-robot interaction facility funded by ARC grants. Publications highlight advancements in human-robot collaboration ethics, motion planning for social robots, and control systems for autonomous machinery. His interdisciplinary approach bridges robotics engineering with creative arts, fostering innovations in both technical and artistic domains.

Sari Havu-Nuutinenمشاهده پروفایل

استاد

• Early Childhood Education
• Science Education
• Teacher Education
• +۵ مورد دیگر

Professor Sari Havu-Nuutinen works at the School of Applied Educational Science and Teacher Education , part of the University of Eastern Finland . With over 20 years of experience in teacher education, she specializes in early childhood education , science education , and STEM curriculum development . Her international collaborations span Finland, Brazil, and Namibia, including a Fulbright scholarship at Ohio University (2015). Leads national projects on science education and flexible learning Co-developer of international teacher education programs Published extensively on science capital and teacher agency Research Interests: Focus on science capital , inquiry-based learning , and teacher professional development . Her work bridges theoretical frameworks with practical curriculum innovation. Publications: Recent studies examine STEM implementation in Namibia, Finnish science capital surveys, and comparative analyses of early-years education. Articles emphasize metacognition, technology integration, and sustainability education. Scientific Contributions: Developed science capital teaching frameworks Contributed to international teacher education manuals Systematic reviews on STEM aspirations Awards: Fulbright scholar (ASLA Fulbright senior research grant, 2015)

Tina Comesمشاهده پروفایل

استاد

• Crisis Informatics
• Decision Theory
• Disaster Management
• +۲ مورد دیگر

Tina Comes is a Full Professor in Decision-Making & Digitalisation at the University of Maastricht, Netherlands. She holds a part-time position (0.2 FTE) and has previously held academic roles at TU Delft (Associate Professor in Decision-Making for Resilience, 2017), University of Agder (Full Professor in ICT, 2015-2017), and Visiting Professor at Lamsade, Université Dauphine, Paris (2014). Her research focuses on Crisis Informatics , Decision Theory , Disaster Management , Humanitarian Logistics , and Resilience . Her work spans building simulation , ventilation systems , and energy-efficient design , with grants totaling €9.6 million since 2012. Key projects include Resilient Systems (NL Ministry of Defense, 2020-2026), H2020 HERoS (2020-2023), and Climate Resilient Urban Infrastructure (Amsterdam, 2020-2022). She has supervised 6 PhD students at TU Delft (2017-2022), 3 Postdocs/PhDs at University of Agder (2013-2020), and 1 PhD at Université Toulouse (2014-2018). Her scientific awards include: 2020 José Maria Sarriegi Award by the Spanish Red Cross 2019 Emerald Literati Award 2016 Delft Technology Fellowship (acceptance rate 2012 Best Paper Award at ISCRAM Conference

Ramana Vinjamuriمشاهده پروفایل

دانشیار

• Brain-Machine Interfaces
• Neuroprosthetics and Exoskeletons
• Machine Learning
• +۴ مورد دیگر

Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.

Katherine Laniganمشاهده پروفایل

استاد

• Analytical Chemistry
• Environmental Chemistry
• Trace Metal Analysis
• +۳ مورد دیگر

Katherine Lanigan is Professor of Chemistry in the Department of Chemistry and Biochemistry at University of Detroit Mercy's College of Engineering & Science, teaching General Chemistry, Quantitative Analysis, and Instrumental Analysis since joining the faculty in 2001. Her educational background includes: Ph.D. in Chemistry, University of Iowa (1996) B.S. in Chemistry, University of Dayton (1990) Dr. Lanigan's research integrates analytical chemistry with environmental science through two primary avenues: trace metal analysis in ecological systems using FAAS, XRF, and UV/vis spectroscopy, and investigations of photocatalytic reactions involving nanoparticles for contaminant degradation. Her secondary focus examines adsorbed species at liquid/solid interfaces of metal oxide films using ATR-FTIR, with recent expansion into cloud point extraction methods for metal preconcentration in water samples. These efforts address critical environmental monitoring and remediation challenges. Analysis of her 2015-2024 publications reveals dual expertise in environmental analytical chemistry and pedagogical innovation, with environmental work emphasizing practical metal detection techniques and education research developing theme-based water quality activities across instructional levels. Her scientific recognition includes: National Institute of Health ReBUILDetroit Pilot Project Course Development Award (2017, co-PI) UDMPU Faculty Research Awards (2016, 2015) Dr. Lanigan has mentored 38 students since 2002, with alumni pursuing dentistry (University of Detroit Mercy, Case Western, Michigan, Pennsylvania), medicine, and chemistry careers. Her secured funding supports both research instrumentation and educational development initiatives. The active Lanigan Research Group currently comprises Jisoo Kim, Heewoong Kim, and Tina Lee, with Kelly Cho, Alina Varghese, and Abdel El Sayed joining for Fall 2025 projects on photocatalytic nickel oxidation and drinking water metal analysis.

Anna Sandersمشاهده پروفایل

پژوهشگر ارشد

• Climate Adaptation
• Environmental Governance
• Political Ecology
• +۵ مورد دیگر

Dr Anna Sanders is a Research Fellow at the ANU Institute for Climate, Energy & Disaster Solutions, part of the College of Science at The Australian National University. Her research focuses on transformational climate adaptation, environmental governance, and multi-level decision-making in rapidly changing environments. Previously, she held roles at the University of Melbourne, where she remains an honorary fellow at the School of Agriculture, Food and Ecosystem Sciences. Her work spans environmental policy analysis, political ecology, and interdisciplinary research methods. Key areas include climate adaptation strategies, landscape change, and resource governance in Southeast Asia and Australia, particularly in Indonesia’s tropical peatlands, oil palm regions, and the Northern Territory. She emphasizes participatory research approaches, ethical practices, and long-term place-based studies to enhance local capabilities and policy relevance. Anna’s research groups include Agriculture, Food and Nutritional Security; Indigenous Knowledges and Development in Asia/Pacific; and Law, Governance and Institutions. Her contributions address global environmental challenges through nuanced, culturally attuned frameworks.

• Digital Media Studies
• Rhetoric
• Professional and Technical Communication
• +۴ مورد دیگر

John Jones is an Associate Professor at The Ohio State University specializing in Digital Media Studies, with a focus on rhetoric, professional/technical communication, and digital literacies. His academic journey includes a PhD in English from the University of Texas – Austin and an MA from the University of Tennessee – Chattanooga. Previously, he served as an associate professor at West Virginia University and a visiting assistant professor at the University of Texas at Dallas. Research explores intersections of writing, computational processes, and digital culture Expertise spans digital media studies, visual rhetoric, and networked communication His work investigates the impact of wearable technologies, algorithmic systems, and network structures on knowledge creation and communication practices. Current projects examine computational ethics in digital writing and the role of digital networks in shaping rhetorical strategies. Analysis of John Jones’s publications reveals consistent engagement with: Digital media and computational rhetoric Networked communication frameworks Wearable technology implications Medical usability challenges Visual data representation Collective intelligence dynamics

• Educational Technology
• Technology-Enhanced Learning
• Learning Design
• +۴ مورد دیگر

Dr. Amanda Gigliotti is a Senior Lecturer at the School of Education, University of Wollongong , with expertise in technology-enhanced learning and teacher design practice. Her research investigates how educators integrate technology into pedagogy, focusing on design decisions and professional development. Current role (2025–present): Senior Lecturer, University of Wollongong Previous appointments: Lecturer (2023–2024), Career Development Fellow (2020–2023) PhD in Education (2020), Bachelor of Primary Education (Honours) (2011) Her work emphasizes inclusive digital learning , with grants totaling $292,797.25 as lead investigator. She co-authored 6 journal articles, 2 book chapters, and 2 reports, often collaborating on topics like online curriculum design and WIL simulations. Key awards include the University of Wollongong's Vice Chancellor (Early Career) Award for teaching excellence. She chairs UOW’s Early Career Researcher Committee and founded ASSH’s Early Career Academic Network, mentoring over 100 international academics.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +۳ مورد دیگر

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.

Rachel Harrisonمشاهده پروفایل

استاد

• Software Engineering
• Machine Learning
• Requirements Engineering
• +۳ مورد دیگر

Professor Rachel Harrison is a Professor in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. Her research focuses on software metrics, machine learning, and requirements engineering with emphasis on empirical and automated software engineering solutions. She has over 160 publications and extensive industry collaborations with organizations like IBM and Philips Research Labs. Her work has been recognized through roles as Editor-in-Chief of the Software Quality Journal and leadership in conferences such as ICSE and ESEM. She leads the Dependable System Engineering Centre (DSERC) and is part of the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Applied Software Engineering and Data Analytics (ASEDA) Group. Her research projects include AI applications for big data analysis (AIMi), automated review classification (ReClass), and software quality improvement (SEQUIN). Professor Harrison has served on over 50 international program committees and initiated workshops like RAISE and AIRE. Her teaching includes advanced computer science modules and leadership in courses like Essential Maths for University Study and Advanced Software Development . Her work bridges academic research and practical applications, particularly in healthcare technology (e.g., diabetes management systems) and mobile application usability. She advocates for rigorous software quality practices and has contributed to frameworks for requirements validation and risk assessment in software projects.

• Neural Video Communication
• Smart Cameras
• Computational Vision Models
• +۳ مورد دیگر

Zhan Ma is a Professor and PhD Advisor at the School of Electronic Science and Engineering, Nanjing University. He leads research in Neural Video Communication, Smart Cameras, and Computational Vision Models. His work focuses on end-to-end learning for compression, networking, and hardware-software co-design. Dr. Ma holds a PhD from New York University's Tandon School of Engineering (2010), and prior to his current role, he served as Senior Staff Researcher at Huawei (2013-2015) and Senior Researcher at Samsung (2011-2013). Research highlights include pioneering work in point cloud compression (adopted into IEEE standards) and dual-camera systems for high-resolution video acquisition. His algorithms are deployed in WeChat/WeChat Video for rate-quality optimization and in ISO standards for video complexity indicators. Recent work emphasizes machine learning-driven approaches for image/video compression and adaptive streaming frameworks. Honors include the 2023 IEEE CAS Society Outstanding Young Author Award and multiple best paper awards at IEEE WACV, BMSB, and other venues. He leads the Vision Lab at Nanjing University and collaborates with industry partners on practical implementations of his research.