جستجوی استاد راهنمای دانشگاهی

Associate Professor Josiah Poon is affiliated with the School of Computer Science at the University of Sydney. His research focuses on applying data mining and IT techniques to Traditional Chinese Medicine (TCM), particularly analyzing herbal combinations for effective treatments. He collaborates with institutions in China to improve TCM evidence and has contributed to clinical data analysis, medical informatics, and multimodal AI systems. Teaching includes courses such as INFO1003 (Foundations of IT) and INFO9003 (IT for Health Professionals). Current research students are Rina CABRAL (Multimodality Representation), Yan LI (Long Document Comprehension), and Xiaobin LU (Financial Decisions). Research highlights include developing algorithms to quantify TCM efficacy, analyzing complementarity in herbal combinations, and applying machine learning to healthcare data. Notable projects include a randomized controlled trial on pneumococcal vaccination (2021) and a Google-funded multimodal health detection system (2020). Key areas of expertise span TCM informatics, medical data analytics, and AI-driven healthcare solutions. His work bridges Eastern/Western medicine through computational methods, emphasizing evidence-based practices in TCM.

• Traditional Chinese Medicine (TCM)
• Data Mining
• Medical Informatics
• +۴ مورد دیگر

Alfred Hero is the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan. He is currently on leave from the University of Michigan as a Program Director in the CISE Directorate at the National Science Foundation. His primary appointment is in the Department of Electrical Engineering and Computer Science (EECS) with secondary appointments in the Department of Biomedical Engineering and the Department of Statistics. He is affiliated with multiple research centers including the UM Center for Computational Medicine and Bioinformatics (CCMB), the UM Graduate Program in Applied and Interdisciplinary Mathematics (AIM), the UM Applied Physics Program, and the Michigan Institute for Data Science (MIDAS). Hero's research focuses on data science, developing theory and algorithms for multimodality data collection, fusion, analysis and visualization using statistical machine learning and distributed optimization. His work has applications in wearable technologies for personalized health and predictive medicine, spatio-temporal networks in biology, climate, and social discourse, anomaly detection, and data analysis for international security. His research group has produced numerous PhD students who have gone on to prominent academic and industry positions. His recent publications show a strong focus on high-dimensional statistical methods, machine learning theory, network analysis, and applications in biomedical domains. The research trends indicate increasing emphasis on multimodal data fusion, robust learning algorithms, and applications to complex systems in biology and security domains. His work bridges theoretical foundations with practical implementations across diverse application areas. Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Society for Industrial and Applied Mathematics (SIAM) Fourier Award in Signal Processing from the IEEE Hero has advised numerous PhD, MS, and undergraduate students who have gone on to successful careers in academia and industry. His research has been supported by various grants, though specific grant details are not provided in the source material. His lab collaborates extensively across disciplines with researchers in statistics, biomedical engineering, and computational medicine. The Hero Research Group maintains active collaborations with institutions worldwide and participates in major conferences in machine learning, signal processing, and data science.

• Data Science
• Statistical Machine Learning
• Distributed Optimization
• +۱۰ مورد دیگر

Lynne Grewe serves as a Professor in the Department of Computer Science at California State University, East Bay, where she maintains active research and teaching responsibilities with current office hours and contact information. Her work bridges theoretical computer science with real-world applications across healthcare, education, and emergency response domains. Her research portfolio centers on three interconnected thrusts: Medical Technology : Development of computer vision systems for stroke detection through facial pattern analysis (StrokeChange), infrared-based disease monitoring, and assistive navigation tools for the visually impaired (Seeing Eye Drone) Educational Innovation : Creation of multimodal systems like ULearn that detect student frustration using deep learning, alongside community college partnerships to broaden participation in computing Sensor Fusion Applications : Integration of multi-modal data for disaster response, infrastructure monitoring, and mobile health platforms using advanced machine learning techniques Publication analysis reveals consistent evolution toward real-time, deployable systems—particularly mobile health applications and educational tools—while maintaining foundational work in sensor fusion. Her 2020-2024 output shows increasing emphasis on healthcare applications (40% of recent work) and educational technology (25%), often combining computer vision with mobile platforms. Grewe demonstrates significant commitment to educational equity through the Faculty in Residence program, collaborating with community colleges to prepare underrepresented students for computing careers. Her Google partnership and focus on practical applications indicate strong industry engagement, though specific grant details aren't documented in source materials. Current projects suggest ongoing expansion into in-situ health monitoring and AI-driven educational support systems.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Xiaojun Ruan is an Associate Professor in the Department of Computer Science at California State University, East Bay. He holds a Ph.D. in Computer Science from Auburn University (2011) and a B.E. in Computer Science and Technology from Shandong University (2005). His primary research focuses on energy-efficient systems, cloud computing optimization, storage systems, and security-aware resource management. He has extensive experience in thermal modeling, parallel I/O performance, and distributed deep learning frameworks. Dr. Ruan’s work emphasizes balancing energy efficiency, reliability, and performance in storage and cloud environments. Notable projects include DuoFS (hybrid storage system), energy-aware VM allocation strategies, and securing cloud infrastructure against co-residence attacks. His research bridges hardware-software co-design principles with practical system optimizations. His publications span topics from NVMe SSD performance optimization to text augmentation for spam detection, reflecting a blend of storage systems and machine learning applications. He has actively contributed to improving Shuffle I/O in big data processing, thermal management in clusters, and secure virtualization techniques. Dr. Ruan collaborates on interdisciplinary projects involving distributed computing, cybersecurity, and real-time systems. His lab focuses on deploying energy-efficient solutions while maintaining robust reliability, evidenced by over 50 peer-reviewed articles and ongoing contributions to academic conferences.

• Energy-Efficient Systems
• Cloud Computing
• Storage Systems Optimization
• +۷ مورد دیگر

Dr. Sarah Kiden is a Research Fellow at the University of Southampton, focusing on the intersection of technology, governance, and societal impact. She is actively involved in the Citizen-Centric Artificial Intelligence Systems (CCAIS) and Responsible AI UK (RAI UK) initiatives, exploring ethical AI design and public participation mechanisms. Her work emphasizes collaboration with non-expert 'knowledge-holders' to enhance trust and transparency in AI systems. Previously, she held a Marie Curie Research Fellowship through a joint EU-funded program between Northumbria University and Mozilla, investigating responsible IoT design with grassroots communities. Her research spans AI ethics, technology governance, and digital rights, with a focus on global contexts like East Africa. Key Projects : Real AI Fairness, AI Otherwise, CulturAI Awards : Marie Curie Research Fellow (2019), Gender Diversity Award (2017), Vice Chancellor's Award finalist (2024) Her publications address topics such as AI governance frameworks, digital shadows, and internet access challenges in developing regions. She advocates for interdisciplinary approaches to technology policy and societal impact assessment.

• AI Governance
• Technology Ethics
• Citizen-Centric AI Systems
• +۳ مورد دیگر

Prof. Eiman Kanjo is a Professor of Pervasive Sensing & TinyML and Head of the Smart Sensing Lab at Nottingham Trent University. She leads the Smart Nottingham and Smart Campus initiatives, focusing on impactful applications of mobile sensing, wearable tech, and edge AI. Her work bridges academia, industry, and community, emphasizing privacy-preserving AI for mental health, environmental monitoring, and social prescribing. Education: PhD in Computer Science (2005), University of Abertay Dundee. Formerly a Research Associate at the University of Cambridge and researcher at the University of Nottingham’s Mixed Reality Lab. Collaborates with organizations like the tinyML Foundation, Health Data Research UK (HDRUK), and the Alan Turing Institute. Research Interests : Pervasive computing, TinyML, Edge AI, wearable devices, environmental sensing, mental health technologies, and community-driven solutions for urban wellbeing. She pioneered early mobile sensing systems like NoiseSPY (2010) and MobSens (2009). Key Projects : 5G Connected Forest (£10m DCMS grant) : Smart environmental monitoring in Sherwood Forest. TagWithMe : AI-driven proximity-based games for community wellbeing. EPSRC Green+ Network : Tech for healthier environments. Awards & Recognition : Top 50 Women in Engineering (2023). Outstanding Educator of the Year Award (EDGE AI Foundation, 2023). 2021 Vice-Chancellor’s Outstanding Research Team Award (Smart Sensing Lab). Grants & Collaborations : Over £10m in funding from EPSRC, InnovateUK, MOD, and DEFRA. Partners include Nottingham City Council, tinyML Foundation, Health Data Research UK, and industry stakeholders. Labs & Initiatives : Leads the Smart Sensing Lab , developing technologies for Green Social Prescribing at Rufford Country Park and Highbury Mental Health Hospital.

• Pervasive Sensing
• Tiny Machine Learning (TinyML)
• Edge AI
• +۷ مورد دیگر

Robert Payne is Professor and Department Chair of Communication, Media and Culture at The American University of Paris, where he has worked since 2008. Previously taught at Australian universities, his research focuses on queer theory applications in media studies, digital networks, and affective dimensions of media infrastructure. PhD and BA from University of Sydney Specializes in queer digital culture Author of two monographs International research on media materialities His work examines digital media's affective dimensions, including viral circulation, social media intimacy, and material infrastructures shaping queer encounters. Co-edited special issues on 'Citizenship and queer critique' (2012) and 'Panic' (2008), with publications analyzing topics from Abu Ghraib photo circulation to blue-collar masculinity in digital spaces. Current research investigates everyday media materialities through infrastructure studies and affect theory.

• Gender and Sexuality Studies
• Queer Theory
• Digital Media Studies
• +۳ مورد دیگر

Ashish Gupta holds the Globe Life Professor title in the Department of Business Analytics & Information Systems at Auburn University and serves as an Adjunct Professor in the Department of Computer Science and Software Engineering. His research focuses on Deep Learning, Machine Learning, AI, Natural Language Processing, and Social Network Analytics. Education: Ph.D. in Management Science and Information Systems from Oklahoma State University. Research trends in his articles emphasize AI-driven solutions for misinformation detection, healthcare analytics, smart grids, and educational pedagogy. Notable themes include real-time fake news detection, pandemic impact studies, and predictive modeling in healthcare and agriculture. No scientific awards or grants are explicitly listed. He advises no formally listed students. His work integrates computational methods with societal challenges, particularly in healthcare, education, and agriculture. Collaborations span interdisciplinary domains, though specific lab affiliations are not mentioned.

• Deep Learning
• Machine Learning
• AI
• +۲ مورد دیگر

Dr. Uchenna Daniel Ani is a Lecturer in Cyber Security at the School of Computer Science and Mathematics, Keele University. He leads the MSc Cyber Security programme and chairs the School Taught Programme Ethics Committee. Previously, he was a Senior Research Fellow at the PETRAS National Centre of Excellence for IoT Systems Cybersecurity at University College London (UCL), focusing on cybersecurity in critical infrastructure systems. Dr. Ani holds a PhD in Industrial Control System Cybersecurity from Cranfield University, UK, and degrees from the University of Bedfordshire. His research emphasizes socio-technical security analysis, cybersecurity risk assessment, and the intersection of technical solutions with human and policy factors. Key projects include 'Analytical Lenses for Internet of Things Threats' and 'Modelling for Socio-Technical Security,' collaborating with transport and water infrastructure organizations. His research interests span ICS/IoT Cybersecurity, security modelling/simulations, human-factor security, and digital forensics. He actively contributes to cybersecurity policy and standards development, advising on IoT-enabled infrastructure resilience. Dr. Ani is a Fellow of the Higher Education Academy and member of IET/ACM. Teaching includes modules on Human Factors of Cyber Security, Cryptography, and Cloud Computing. He advocates STEM education through mentoring and public engagement, including roles as a STEM Ambassador and IET Young Professional Ambassador.

• Cyber Security
• Industrial Control Systems (ICS)
• Internet of Things (IoT)
• +۶ مورد دیگر

Professor Cathy Lewin is a leading academic in the field of Education and Educational Technology at Manchester Metropolitan University, where she has been employed since 2001. With a background in mathematics and computer science, she transitioned from software engineering to educational research after completing her PhD at the Open University in 1997. Her work focuses on digital pedagogy, socio-cultural theories of learning, and the integration of technology in educational settings. Co-editor of the British Journal of Educational Technology (2023–present) Former Editor of Learning, Media and Technology (2004–2010) External examiner for MSc Educational Research (University of Bristol, 2012–2015) and Open University courses Lewin’s research has significantly influenced educational policy through large-scale evaluations for organizations such as the Education Endowment Foundation, European Commission, and UK Government. She has led or co-led projects including the EU FP7 iTEC project, Whole School SEND Review, and Oasis Horizons iPad initiative. Her methodological expertise spans quantitative and qualitative approaches, with a particular emphasis on mixed methods and socio-cultural frameworks. Recent publications examine topics like digital pedagogy, the impact of social media on teacher professional development, and the integration of formal and informal learning through technology. Her work has been instrumental in shaping guidance reports for educators, such as the EEF’s Using Digital Technology to Improve Learning , which has informed technology investments in schools globally. IFIP Service Award for contributions to the International Federation of Information Processing Editorial Board member for multiple journals including Pedagogy, Culture and Society Lewin supervises doctoral students in areas such as digital pedagogy, computing education, and sociocultural theories of learning. She welcomes supervisees exploring the intersection of technology, inclusion, and educational practices.

• Digital Pedagogy
• Educational Technology
• Sociocultural Theory
• +۵ مورد دیگر

Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.

• Smart and Sustainable Grids
• Intelligent Systems
• Bioengineering
• +۴ مورد دیگر

Clemens Kroneberg is a Professor of Sociology at the Institute of Sociology and Social Psychology, University of Cologne. His research spans diversity and boundary making, action theory, social networks, and crime and deviance, with a focus on integrative theoretical frameworks like the Model of Frame Selection. He leads major projects including the ERC Starting Grant project SOCIALBOND and the DFG project Friendship and Violence in Adolescence , analyzing longitudinal data on social networks, identities, and juvenile delinquency. Principal investigator at University of Cologne Guest Professor at McGill University (2022-2024) His research integrates cognitive social psychology with rational choice theory, applying the Model of Frame Selection to altruism, crime, political participation, and trust. Recent work examines post-pandemic juvenile delinquency trends, ethnic diversity in schools, and institutional trust in public goods provision. Key scientific accolades include the Robert K. Merton Best Paper Award (2021) and Fellow of the European Academy of Sociology . He advises PhD students in areas related to social network analysis, panel analysis, and criminological theories. Advises students on diversity policies and racism Collaborates with institutions like ECONtribute Center of Excellence, Mannheim Centre for European Social Research

• Diversity and boundary making
• Action theory
• Crime and deviance
• +۳ مورد دیگر

Mehmet Akif Demircioglu is an Assistant Professor at the School of Public Policy and Administration, specializing in public sector innovation, digital transformation, and governance. His research focuses on the intersection of technology, policy design, and organizational behavior within public institutions. Key themes include digital ethics, demographic shifts impacting public innovation, and leadership strategies in crisis contexts like VUCA environments. His work spans global comparative studies, emphasizing Asia-Pacific contexts and European case analyses. Methodologically, he employs computational policy analysis, mixed-methods frameworks, and quantitative evaluation of innovation outcomes. He has contributed significantly to understanding how public organizations adapt to demographic changes and crises through strategic digital interventions. Notable contributions include studies on reverse knowledge spillover in public entrepreneurship, leadership's role in pandemic management, and the ethical dimensions of digital governance. His research bridges theoretical innovation frameworks with practical policy implementation challenges.

• Public Policy
• Public Sector Innovation
• Digital Ethics
• +۴ مورد دیگر

Rachel O’Dwyer is a Lecturer in Digital Cultures at the School of Visual Culture, National College of Art and Design (NCAD), Dublin. She holds a PhD from Trinity College Dublin (2014), an M.Phil. in Music and Media Technologies (2009), a B.A. Honours in Fine Art (Digital Media) from IADT Dun Laoghaire (2006), and a City & Guilds Diploma in Sound Engineering (2007). Her research explores the intersection of digital cultures and cultural economies, focusing on how digital networks transform ownership, value, and production of art, knowledge, and information. She critiques neoliberal logics in blockchain and algorithmic systems, advocating for a return to commons-based models. Education: PhD, Trinity College Dublin (2014): Spectre of the Commons: A Political Economy of Radio Spectrum M.Phil., Trinity College Dublin (2009): Music and Media Technologies B.A. Honours, IADT Dun Laoghaire (2006): Fine Art (Digital Media) City & Guilds Diploma, Sound Engineering (2007) Research Interests: Rachel’s work interrogates money, algorithms, AI, and their implications for cultural production and resistance. She investigates the role of blockchain in crypto-art, freeports, and art markets, while also examining how IoT and 5G reshape payments and surveillance. Her critical lens extends to the political economy of communications, digital value systems, and tactical media strategies like Openhere and D.A.T.A. Scientific Awards: 2018: Fulbright Scholar Award (Blockchain & Art) 2018: RIA Charlemont Scholar Award 2014: SFI Public Engagement Grant 2010-2014: Science Gallery Seed Funding Advising & Grants: Rachel has coordinated modules in the history of creative industries and designed MOOCs on technology and society. She organized the Openhere festival (2012, 2014), Data Politics conferences (2016), and Quantified Self events (2011). Her current book project with MIT Press examines radio spectrum ownership. Labs & Teams: She is a core member of the P2P Foundation’s academic research network and coordinates the Orthogonal Methods Group (OMG) at Trinity College Dublin. She advises the DECODE EU project on data sovereignty and contributes to ADAPT’s Ethics and Privacy Working Group.

• Digital Cultures
• Cultural Economies
• Money & Algorithms
• +۳ مورد دیگر

Gagan Agrawal is the UGA Foundation Professorship in Computing and a Professor at the School of Computing, University of Georgia. He serves as Director of the School and is affiliated with the Franklin College of Arts & Sciences. Agrawal holds a PhD and MS in Computer Science from the University of Maryland (1994-1996). His research focuses on high-performance computing, parallel algorithms, compiler optimization for deep learning, GPU acceleration, and interdisciplinary applications in health informatics. Notable contributions include frameworks like ForensiBlock (blockchain for data forensics) and DELITE (tensorized instruction compilation). Agrawal has secured over $2.5M in NSF grants for projects addressing extreme-scale computing challenges. Recent grants include: SHF: Small: Memory Hierarchy Optimizations Meet Transformers (MITTEN) ($600K, 2024-2027) DELITE compilation system for deep learning models ($600K, 2023-2026) Publications span parallel computing methodologies, cybersecurity frameworks, and health outcomes analysis. His work on social determinants of health in cancer survival has been systematically reviewed in top-tier medical journals. Agrawal leads UGA's computing initiatives, emphasizing interdisciplinary research and student mentorship in HPC and AI domains.

• Parallel Computing
• High-Performance Computing (HPC)
• Data Analytics
• +۵ مورد دیگر