جستجوی استاد راهنمای دانشگاهی

Dr. Rishi Gupta is a Professor and Director of the Centre for Advanced Materials and Related Technology (CAMTEC) at the University of Victoria's Department of Civil Engineering. He holds a PhD and MASc from the University of British Columbia. His expertise spans advanced materials for structures, sustainable construction technologies, structural health monitoring, and innovative construction methods. He is a Fellow of the Canadian Society for Senior Engineers (since 2023) and holds leadership roles in professional organizations like CSCE and ACI. Research focuses on fiber-reinforced composites, self-sealing materials, and non-destructive evaluation. He leads CAMTEC, advises student teams (e.g., Concrete Toboggan Club), and contributes to international initiatives in civil engineering. His work emphasizes sustainability, durability, and smart infrastructure solutions. Key affiliations include Engineers and Geoscientists BC, ACI Committees (e.g., Fiber Reinforced Concrete), and CSCE. Awards include the 2023 CSSE Fellowship. His articles explore topics like CO2 sequestration in concrete, piezoelectric energy harvesters, and UAV-based infrastructure monitoring.

• Advanced Materials for Structures
• Sustainable Construction Technologies
• Structural Health Monitoring
• +۳ مورد دیگر

Serguei A. Mokhov is an Affiliate Associate Professor in the Department of Computer Science and Software Engineering at Concordia University’s Gina Cody School of Engineering. He also holds the position of Affiliate Assistant Professor at the Concordia Institute for Information Systems Engineering. Additionally, he serves as the Manager for Network, Security & HPC within GCS ENCS and AITS under the Gina Cody School. His research focuses on cybersecurity, high-performance computing (HPC), digital forensics, real-time systems, and distributed computing frameworks like OpenISS and GIPSY. He is actively involved in developing tools for forensic analysis (e.g., Forensic Lucid) and real-time interactive systems for performing arts and multimedia applications. His work bridges computer science with creative technologies, emphasizing interdisciplinary collaboration. Notable projects include the OpenISS framework for real-time broadcast services and the GIPSY system for intensional programming. He has also contributed to machine learning applications in recommendation systems and cybersecurity. His teaching and research support roles involve integrating containerization (e.g., Kubernetes) and HPC into academic and industrial contexts. Recent publications highlight advancements in forensic computing, real-time gesture recognition, and knowledge graph-enhanced recommendation systems. His research often addresses challenges in scalability, interoperability, and real-time performance across diverse domains from digital forensics to interactive art installations.

• Computer Science
• Software Engineering
• Cybersecurity
• +۹ مورد دیگر

Professor Cathal Gurrin is the Head of the ADAPT Research Centre and a Full Professor in the School of Computing at Dublin City University. His research focuses on lifelog retrieval and video retrieval systems, with recent work on multimodal understanding and interactive retrieval interfaces. He has led the development of several retrieval systems showcased at the Video Browser Showdown and Lifelog Search Challenge. Recent publications demonstrate strong focus on multimodal datasets (CASTLE), EEG-based behavior analysis (DERCo), and next-generation video retrieval interfaces (VideoEase, VEAGLE).

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.

• Formal Methods
• Distributed Systems
• Real-time Systems
• +۲ مورد دیگر

H. Sebnem Düzgün is a Fred Banfield Distinguished Endowed Chair and Professor of Mining Engineering at Colorado School of Mines, with a joint appointment in Computer Science. She serves as Associate Department Head and leads the mineral supply chain pillar of the Mines Global Future Initiative. Her expertise spans geosciences, systems engineering, AI, and sustainability, with a focus on decarbonization, mineral supply chains, and disaster resilience. Education: B.Sc., M.Sc., Ph.D. in Mining Engineering from Middle East Technical University (Turkey) Diploma in Analysis and Management of Geological Risks from University of Geneva Research Interests: She pioneers interdisciplinary research in autonomous mining systems, big data analytics, geothermal exploration AI, and sustainable mineral supply chains. Her work integrates VR/AR technologies for safety training and disaster response, with emphasis on mitigating environmental impacts and improving workforce preparedness. Awards: 100 Globally Inspiring Women in Mining (2020) Alexander von Humboldt Research Fellowship (2014) Resilience Fellow at TU Delft Advancing Innovation: Founder of an AI-driven resource exploration startup, she coordinates the geoscience section of the Data Science program and directs the GIS and Geoinformatics initiative. Her research bridges academia and industry through projects like methane prediction in coal mines and geothermal exploration algorithms. Labs & Collaborations: Leads interdisciplinary teams in VR-based hazard training, geothermal AI models, and mineral supply chain transparency. Her work interfaces with global initiatives like the Global Future Initiative and the 4TU-Resilience Federation.

• Geosciences
• Systems Dynamics Modeling
• Mineral Supply Chains
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Dr. Noel Murphy is an Associate Professor and Head of the School of Electronic Engineering at Dublin City University (DCU). He has held various leadership roles, including Associate Dean for Education in the Faculty of Engineering and Computing (2005-2007), Head of School (2007-2012, 2015-2018, and returning in 2021). He has been teaching at DCU since 1986 and has contributed extensively to academic governance, including roles on Academic Council and Governing Authority committees. Dr. Murphy holds a BA (Mod) in Theoretical Physics from Trinity College Dublin (TCD), a PhD from DCU (2003) on Information Theory models for Biological and Artificial Vision, and a part-time MA in Pure Mathematics from Maynooth University (2015). His research focuses on: Biological and Artificial Vision: Including Information Theoretic models and the work of Stephen Grossberg. Secure Data Analytics: Particularly leveraging SGX-enabled applications for data ownership control. Algebraic Number Theory: Exploring elliptic curves and Apéry's Constant. IoT and Edge Computing: Focusing on secure processing for IoT applications. Human Sensory Augmentation and Multimedia Information Retrieval. In addition to his teaching and leadership roles, Dr. Murphy has supervised numerous PhD and Master's students to completion. He has secured funding as Principal Investigator or co-Investigator on national and EU-funded research projects. He is affiliated with DCU's Entwine Research Centre. Outside academia, Dr. Murphy is Honorary Secretary of the Irish Light Aviation Society, holds a Private Pilot’s License, and is involved in aircraft restoration projects, including a 1940 Piper J5 and a Vans RV-8.

• Biological and Artificial Vision
• Human Sensory Augmentation
• Secure Data Analytics
• +۳ مورد دیگر

Edoardo S. Biagioni is an Associate Professor at the University of Hawaii in the Department of Information and Computer Sciences , where he has been since 1997. His primary research focuses on decentralized networking , wireless security , and systems programming , with long-term projects including the Allnet project (since 2011) and earlier PODS micro-sensor networks (2000-2003). Current research since 2024 includes formal verification of file systems and correctness properties in systems programming Technical interests span protocol decomposition , language-based OS design , and congestion control Teaching emphasizes Java fluency , data structures , and algorithm complexity in courses like ICS 211 Prior roles included directing the Advanced Network Computing Laboratory (1997-2005) and contributions to the Fedora Core project. Students under his supervision have worked on projects ranging from network measurement to ATM transport protocols . His work bridges theoretical concerns like IP fragmentation theory with practical implementations in SML database systems and IPv6 transitions .

• Networking
• Wireless Networking
• Network Security
• +۹ مورد دیگر

Daniel Henriques Moreira is an Assistant Professor of Computer Science at Loyola University Chicago (College of Arts & Sciences) since 2022. Previously, he served as an Assistant Research Professor at the University of Notre Dame (2020–2022) and a Post-Doctoral Fellow there (2016–2020). He holds a Ph.D. (2016) from the University of Campinas, Brazil, along with M.S. (2008) and B.S. (2006) degrees in Computer Science from Brazilian institutions. Research Focus: Media Forensics, Computer Vision, Machine Learning, Biometrics, and Scientific Integrity Verification. Notable Awards: 2025 St. Ignatius Loyola Teaching Excellence (Loyola), 2017 Best PhD Dissertation (Brazilian Computer Society). His work addresses challenges in detecting synthetic media, combating scientific fraud, and enhancing image provenance analysis. He actively contributes to conferences like IEEE ICIP and ACM RecSys, and serves as an associate editor for IEEE Transactions on Information Forensics and Security. Teaching includes Machine Learning, Biometrics, and programming courses. He advises students on projects like Sci-Int (scientific integrity) and SemaFor (semantic forensics).

• Media Forensics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Dr. Dimitrios Grammenos is a Principal Researcher at the Institute of Computer Science (ICS) of the Foundation for Research and Technology Hellas (FORTH), leading the Human-Computer Interaction (HCI) Laboratory. He specializes in Universal Design, Universal Access, and Ambient Intelligence. With a B.Sc. in Computer Science from the University of Crete and an M.Sc./Ph.D. in Electronic Engineering from the University of Kent, UK, he also holds a Torrance Tests of Creative Thinking certification. Affiliations: HCI Lab, ICS-FORTH. Education: B.Sc. (University of Crete), M.Sc./Ph.D. (University of Kent). His research focuses on Creative Thinking, Game Accessibility, and Interactive Systems for museums/public spaces. Notable achievements include the roboTwin award (2016), Interactive Wall Platinum Award (2014), and the ICS-FORTH Outstanding Contribution Award (2009). He has led projects like Macedonia from Fragments to Pixels and COMnPLAY SCIENCE, promoting informal science education. Grammenos designs workshops on creativity and delivers global talks on innovation. He authored The Orchestra of Colors and co-created the GDPR-themed interactive comic. His work bridges technology, education, and accessibility, emphasizing playful learning and inclusive design.

• Creative Thinking
• Learning through playing, making & coding
• Human-Computer Interaction
• +۸ مورد دیگر

Polioudakis Ioannis is a Technical Scientist and Project Manager at the Institute of Electronic Structure and Nanotechnology (IESL) of the Foundation for Research and Technology Hellas (FORTH), Greece. He leads the Carbon and 2D electronics research group since Summer 2022. His career spans roles in academic teaching, project management, and applied research across multiple domains. Education: M.Sc. in Acoustic Design and Digital Audio (2021), Hellenic Open University Postgraduate Studies in Computer Vision and Multimedia (2015), University of Crete University Degree in Computer Science (2005), University of Crete His research interests bridge computer science, audio engineering, and nanotechnology. He has contributed to eye-tracking technologies (2010–2012), led educational programs (2015–2017), and managed global customer care projects (2017–2021). His current work focuses on carbon-based and 2D material innovations in electronics.

• Computer Science
• Acoustic Design
• Digital Audio
• +۵ مورد دیگر

Wang Zhaoxia is an Associate Professor of Computer Science (Practice) at the School of Computing and Information Systems, Singapore Management University. Her expertise lies in Artificial Intelligence, Data Science, and Machine Learning with a focus on Natural Language Processing (NLP), Sentiment Analysis, and Knowledge Graphs. She holds a PhD from Nankai University (2004). Research Interests: Her work spans AI-driven solutions for sentiment analysis, maritime risk management, audio-to-music conversion, and social media analytics. Recent projects include leveraging Large Language Models (LLMs) for tasks like logical reasoning, translation optimization, and risk assessment. Publications: Recent work highlights include developing metrics for LLM performance (RAP), emotion analysis in images, and automated music transcription. Her research demonstrates cross-disciplinary applications of AI in fields like finance (ICO success prediction) and health (disease surveillance). Awards: No awards explicitly listed Advising: Supervises 3 PhD/Master students including HUANG Donghao and Nicole Anne Hui Ying TEO Contact: zxwang@smu.edu.sg | +65 68261347

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Dr. Melody Moh is a Professor and Interim Chair in the Department of Computer Science at San Jose State University, where she has been a faculty member since 1993. Her research focuses on cloud computing, mobile networks, security/privacy in networks, and machine learning applications. She coordinates Cyber Security Certificates and has published over 130 refereed papers in journals, conferences, and book chapters. Moh holds an MS and PhD in Computer Science from the University of California, Davis. Research Interests: Cloud and Network Security, 5G Networks, IoT Security, Blockchain Applications, Machine Learning for Cybersecurity, Smart Grid Authentication, and Fog Computing. Her work bridges theoretical advancements with practical implementations, such as developing efficient cache management for Cloud-RAN systems and adversarial defense mechanisms for deep learning models. Recent Publications: Recent work includes blockchain-based public key infrastructure, adversarial attacks on deep learning models, and autonomous driving systems using LiDAR data. Her research often involves student collaborators, with many publications featuring *SJSU students. Awards: Best Paper Runner-Up (2019 ACM Southeast Conference) for randomized load balancing research, and Honorable/Best Paper Award (2018 ACM Southeast) for cache management in 5G networks. Grants & Labs: Secured over $500K in NSF and industry grants. Leads research teams focusing on cybersecurity, edge computing, and AI-driven network optimization. Active in collaborative projects with industry partners and government agencies.

• Cloud Computing
• Mobile Networks
• Security and Privacy in Networks
• +۷ مورد دیگر

Dr. Shahrukh Athar is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on perceptual image quality assessment (IQA), degraded-reference and multiply-distorted image analysis, and digital signal/video processing. He also emphasizes educational development, particularly active learning strategies and pedagogical training for colleagues and graduate students. He teaches courses such as COMPENG 2DX3 (Microprocessor Systems Project), COMPENG 2SH4 (Principles of Programming), ELECENG 2CI4 (Introduction to Electrical Engineering), and ELECENG 3CL4 (Introduction to Control Systems). His work bridges machine learning applications in IQA with practical educational methodologies. Dr. Athar's research includes developing robust no-reference IQA algorithms using deep learning and constructing large-scale datasets. He has published extensively on topics like image debanding, blind quality assessment, and FPGA-based signal processing implementations. His LinkedIn and other professional profiles highlight interdisciplinary contributions in both technical and educational domains.

• Image and Video Processing
• Perceptual Image Quality Assessment
• Digital Signal Processing
• +۳ مورد دیگر

Steve Anderson is a Joint Professor at UCLA's School of Theater, Film and Television and Department of Design Media Arts. He holds a Ph.D. in Film, Literature and Culture from USC and an M.F.A. in Film and Video from CalArts. His research focuses on the intersection of media, history, technology, and culture, with notable works including Technologies of Vision (MIT, 2017) and Technologies of History (Dartmouth, 2011). He co-edits the electronic journal Vectors and founded Critical Commons, a public media archive and fair use advocacy network. His scholarly contributions span digital humanities, documentary film theory, and interactive media. He has directed projects like Technologies of Cinema (2015) and led the Transient Media Lab, exploring immersive and documentary media. Anderson has been awarded grants from the Mellon Foundation, MacArthur Foundation, and NEH, among others. Before UCLA, he taught at USC School of Cinematic Arts, founding their Media Arts + Practice Ph.D. program. His work integrates practice-based research, film editing experience, and advocacy for open-access scholarship.

• Media Studies
• Digital Humanities
• Cinema Studies
• +۵ مورد دیگر

Professor Helen Huang is a faculty member in the School of Electrical Engineering and Computer Science at The University of Queensland, where she serves as the Data Science Discipline Leader. She holds a BSc from Tsinghua University's Computer Science Department and a PhD from The University of Queensland's School of ITEE (2001 and 2007, respectively). Her research focuses on multimedia indexing, social data analysis, and knowledge discovery, with over 200+ publications in top-tier venues. Dr. Huang is an Associate Editor for The VLDB Journal, ACM Transactions on Information Systems, and Pattern Recognition Journal, and a member of the VLDB Endowment Board of Trustees. Her awards include the 2016 Chris Wallace Award for breakthroughs in Computer Science, the 2014 Women in Technology Research Award, and the 2018 Excellence in Higher Degree Research Supervision Award. She leads projects in data science, AI-driven systems, and interdisciplinary applications such as Auslan learning and material science modeling. Her work spans domains like recommender systems, domain adaptation, and graph learning, with contributions to both theoretical advancements and real-world applications. Dr. Huang’s publications reflect expertise in machine learning, computer vision, and data science, addressing challenges in multimedia, social networks, and interdisciplinary collaborations. She has advised numerous students and led grants in AI, domain adaptation, and educational technologies. Her leadership roles and editorial contributions highlight her impact on the academic community.

• Multimedia Indexing and Search
• Social Data Analysis
• Knowledge Discovery
• +۳ مورد دیگر