جست‌وجوی استاد و پژوهشگر

• Software Testing
• Regression Testing
• Flaky Tests
• +۳ مورد دیگر

Darko Marinov is a Professor at the Siebel School of Computing and Data Science and a member of the Information Trust Institute at the University of Illinois at Urbana-Champaign. His research focuses on software testing methodologies, particularly regression testing, flaky tests, and software reliability engineering. He has contributed to frameworks like Ekstazi for regression test selection and DeFlaker for identifying flaky tests. Marinov holds an NSF CAREER Award (2008) for his work in this domain. His research interests span testing techniques for modern software systems, including configuration testing, test prioritization, and fault localization. He has pioneered studies on the characteristics of flaky tests in large-scale projects and developed tools to improve software quality assurance processes. Marinov collaborates across academic and industrial settings, addressing challenges in continuous integration, reproducibility of computational experiments, and hardware-software co-design for resilience. His work bridges theory and practice, with applications in cloud computing, AI workloads, and cybersecurity. Awards: NSF CAREER Award (2008) Key Contributions: Ekstazi, DeFlaker, FastFlip, and Ctest4J frameworks Labs/Teams: Active member of the Information Trust Institute and leads software testing research groups at UIUC

Masooda N Bashirمشاهده پروفایل

دانشیار

• Privacy Protection
• Cybersecurity
• Cloud Computing
• +۷ مورد دیگر

Masooda N Bashir is an Associate Professor at the University of Illinois, affiliated with the School of Information Sciences, Informatics, Information Trust Institute, Industrial and Enterprise Systems Engineering, Coordinated Science Lab, Health Care Engineering Systems Center, and European Union Center. Her work focuses on privacy protection, cybersecurity, and ethical use of technology in health and AI systems. She explores user privacy in mobile apps, trust in autonomous systems, and compliance with privacy standards. Research interests include privacy policy analysis, human-robot trust dynamics, and cross-cultural privacy norms. Her recent work examines privacy risks in health apps, AI governance challenges, and cloud security certifications. Collaborations span cybersecurity ethics, human factors in automation, and societal impacts of emerging technologies. Her articles highlight trends in privacy engineering, trust mechanisms in autonomous systems, and compliance strategies beyond legal minimums. She emphasizes user-centric privacy design and interdisciplinary approaches to bridging technical and managerial challenges in privacy implementation. Affiliated with multiple interdisciplinary centers, her work integrates engineering, policy, and social science perspectives. She contributes to public discourse on privacy through media engagement and academic outreach.

Vincent Dziekanمشاهده پروفایل

مدرس ارشد

• Contemporary Curatorial Practices
• Design
• Creative Technology
• +۷ مورد دیگر

Vincent Dziekan is a Senior Lecturer and Practitioner-Researcher at the Department of Design within Monash Art Design & Architecture (MADA) , Monash University, Australia. His work focuses on the intersection of design , creative technology , and museum culture , with a specialization in curatorial design and digital transformation of exhibitions. Program Director of Communication Design Honours and International Study Programs Former Associate Dean (Research) and Head of Department (Multimedia & Digital Arts) Co-editor of The Routledge Handbook of Museums Media and Communication His research explores digital technologies in curatorial contexts, including VR/AI as cultural practices and speculative design . He has established initiatives like exUrbanScreens and MWX (Museums and the Web exhibition platform), with affiliations at institutions such as the Tate , V&A Museum , and University of Leicester . Recent publications analyze point cloud aesthetics in media art and inclusive gallery experiences through tactile interfaces. His work integrates practice-based research methodologies and emphasizes interdisciplinary collaboration across design , technology , and museum studies . Current projects include Research Inclusive Gallery Experiences (funded by Helen Macpherson Smith Trust) Completed projects: Curatorial Research & Development of exUrbanScreens , Developing new curatorial research investigating the Tate's Net Art Commissioning programme

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)

Janki Bhimaniمشاهده پروفایل

استاد

• Emerging Memories
• Flash-Based Storage Systems
• Machine Learning
• +۷ مورد دیگر

Janki Bhimani is a Professor and Director of the Data Management Research Lab (DaMRL) at the School of Computing and Information Science, Florida International University (FIU). Her research focuses on Memory and Storage Systems, Cloud Computing, Performance Modeling, and Applied Machine Learning. She holds a Ph.D. in Computer Engineering from Northeastern University (2019), an M.S. in Electrical and Computer Engineering (2016), and a B.S. in Electrical and Electronics Engineering from GITAM University (2013). Prior to FIU, she taught at Northeastern University and collaborated with Samsung Semiconductor Research Labs on flash-based SSDs. Her research interests include emerging memory technologies, high-performance computing, and datacenter reliability management. She leads innovative projects like Heimdall (machine learning for storage I/O optimization) and MoKE (modular key-value storage emulation). Awards include FIU Top Scholar and KFSCIS Excellence in Applied Research. Teaching highlights include CIS 3530 (Data Structures), CIS 5346 (Storage Systems), and EECE 2560 (Engineering Algorithms). Her work emphasizes bridging theory and practice, with patents on storage system optimization and machine learning integration.

Deng Xiaotieمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Internet Economics
• Parallel Computing
• +۱ مورد دیگر

Xiaotie Deng is a distinguished academic and Chair Professor at Peking University (since 2018), with prior roles at Shanghai Jiao Tong University (2013–2017), the University of Liverpool (2010–2013), and City University of Hong Kong (1997–2013). His research focuses on algorithmic game theory, internet economics, and parallel computing. He holds prestigious fellowships including ACM Fellow (2008) and IEEE Fellow (2019). Deng has led significant grants, including a RMB 5M project on algorithmic game theory at Peking University (2018–2020) and NNSFC-funded research on market competitiveness and fairness (2018–2020). Education: PhD in Computer Science from Stanford University (1989), MSc from Chinese Academy of Sciences (1984), BSc from Tsinghua University (1982). Research interests span computational game theory, equilibrium analysis, and blockchain applications. Notable contributions include foundational work on Nash equilibrium complexity and mechanism design for resource allocation. He has advised numerous PhD students and serves on editorial boards of top journals like SIAM Journal on Computing and IEEE Transactions on Cloud Computing. Key awards: ACM and IEEE Fellowships, JSPS Invitation Fellowships (2005, 1996), and NSERC International Fellowship (1991). Active in conference organizing, including PC chairs for WINE 2020 and SAGT 2018. Consultancy includes work with Cryptape, Ant Financial, and Microsoft Research Asia, reflecting his industry engagement in algorithmic solutions and blockchain technologies.

Simon Masnouمشاهده پروفایل

استاد

• Applied Mathematics
• Image Processing
• Shape Optimization
• +۵ مورد دیگر

Simon Masnou is a Full Professor at Université Claude Bernard Lyon 1, affiliated with the Institut Camille Jordan (CNRS UMR 5208). He holds leadership roles as Head of the 'Applied Mathematics, Statistics' Master's degree and Head of the 'M2 Maths in Action' program. Previously, he served as Director of the Camille Jordan Institute (2018-2022). His research focuses on applied mathematics, image processing, shape optimization, and geometric measure theory, with contributions to variational models, geometric flows, and applications in computer vision and materials science. Education: PhD in Mathematics (1998, Paris Dauphine) and HDR (2008, Paris 6). Research projects include ANR STOIQUES (2024-2028), PEPR PDE-AI (2023-2028), and collaborations with industry on topics like defect prediction in aluminum production and high-dimensional data analysis. Teaching includes courses on linear algebra, optimization, and machine learning at undergraduate and graduate levels. Key contributions span phase field models, varifold-based surface approximation, and image inpainting. He supervises PhD students in geometric variational problems and computational methods. His work bridges theoretical mathematics with industrial challenges, addressing issues in materials science, medical imaging, and cultural heritage preservation.

Lenka Marekováمشاهده پروفایل

پژوهشگر

• Cryptography
• Information Security
• Secure Messaging Protocols
• +۳ مورد دیگر

Dr. Lenka Mareková is a postdoctoral researcher in the Applied Cryptography Group at ETH Zürich. Previously, she completed her PhD in the Information Security Group at Royal Holloway, University of London, supervised by Martin R. Albrecht. Affiliation: ETH Zürich - Department of Computer Science Cryptographic analysis of secure messaging platforms Research focus on end-to-end encryption and real-world security implementations Her research interests span cryptographic protocol analysis, secure communication systems, and privacy-preserving technologies. The 10 most recent publications in her DBLP profile reflect expertise in: Secure messaging protocols (Telegram, Delta Chat) Cloud storage security (MEGA analysis) E-voting systems (Zerovote, E-cclesia) Mobile security frameworks (Android policy enforcement) Mesh network vulnerabilities Current work appears to focus on practical cryptographic implementations and their real-world security implications. Contact via hi@lenka.sh or lenka.marekova@inf.ethz.ch .

Patrik Wikstromمشاهده پروفایل

استاد

• Computational Communication
• Music Industries
• Algorithmic Culture
• +۳ مورد دیگر

Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.

Larissa Hjorthمشاهده پروفایل

استاد

• Digital Ethnography
• Mobile Media Studies
• Ageing and Technology
• +۷ مورد دیگر

Distinguished Professor Larissa Hjorth is a digital ethnographer and ARC Future Fellow leading research on mobile media, grief, and ageing at RMIT University's School of Media & Communication. Her work explores intergenerational connection, digital kinship, and loss in the Asia-Pacific. She has directed major initiatives like the Design & Creative Practice ECP Platform and co-founded the Digital Ethnography Research Centre (DERC). With over $8M in grants, she collaborates with ACMI, Intel, and international networks like Aging in Data. She supervises 20+ PhD students and advises global grief research networks. Recent projects include studies on QR codes in public spaces, co-designing ICT strategies for older adults, and digital rituals around death. Research interests span mobile media ethnography, playful urban design, and ethical digital practices. Her ARC Future Fellowship (2023-2027) investigates mobile media mourning rituals, while her Aging in Data project examines older adults' data experiences. Teaching spans 20 years across design, art, and media disciplines. Awards: ARC Future Fellowship, Japan Foundation Fellowship, Asialink Residency Key Collaborations: SSHRC (Canada), Concordia University, DORS (death online network) Labs: DERC, Museum Digital-Social Futures project Grants: 7+ ARC grants, Young and Well CRC, CCI CoE Notable outputs include works on pandemic-era QR code placemaking, WeChat's role in intergenerational care, and co-designed risk strategies for older adults' ICT use. Her creative projects like The Children's Sensorium blend art and mindfulness to support youth well-being.

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +۵ مورد دیگر

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

• 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.

Hui Luمشاهده پروفایل

استادیار

• Operating Systems
• Systems Virtualization
• Cloud Computing
• +۶ مورد دیگر

Dr. Hui Lu is an Assistant Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA), where he has been serving since September 2023. Prior to joining UTA, he was an Assistant Professor at SUNY Binghamton from 2017 to 2023. His academic journey includes a Ph.D. in Computer Science from Purdue University (2017), and Master’s and Bachelor’s degrees in Electronic Engineering from Shanghai Jiao Tong University. Ph.D., Computer Science, Purdue University, 2017 M.S., Electronic Engineering, Shanghai Jiao Tong University, 2009 B.S., Electronic Engineering, Shanghai Jiao Tong University, 2006 Dr. Lu's research centers on systems software with a focus on operating systems, virtualization, cloud computing, file and storage systems, and computer networks. His work emphasizes performance optimization and security in cloud-native environments. He has collaborated with leading industrial research labs including HPE Labs, IBM Research, Microsoft Research, AT&T Labs, and NEC Labs. His recent publications span top-tier venues such as OSDI, SOSP, USENIX ATC, and VLDB. The article trends reflect a strong emphasis on secure container technologies, memory tiering, packet processing optimization in virtualized networks, and efficient cloud storage systems. His work increasingly integrates hardware-aware optimizations and lightweight security mechanisms. NSF CAREER Award (2023) UT System Rising STARs Award (2023) Summer Faculty Fellowship, Air Force Research Lab (2019) Dr. Lu has successfully advised multiple Ph.D. students, including Jiaxin Lei, who is now an Assistant Professor at Kean University. His research is supported by major grants from the National Science Foundation (NSF) and the Air Force Research Lab (AFRL), focusing on secure containers, non-volatile memory management, and cloud-native virtualization. He has served as Principal Investigator (PI) on multiple funded projects, demonstrating strong leadership in research and innovation. He is actively involved in teaching core courses such as Operating Systems and advanced topics in systems and architecture. He mentors a growing group of Ph.D. students and welcomes motivated individuals to join his research group.

• Multi-access Edge Computing
• High-Performance Networks
• Cognitive IoT Systems
• +۷ مورد دیگر

Prof. Ahmed Al-Dubai is a Professor at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University, where he leads the IoT and Networked Systems Research Group and serves as Cybersecurity and Cyber Physical Systems Research Lead. His interdisciplinary research spans Multi-access Edge Computing, High-Performance Networks, Cognitive IoT Systems, VANETs, AI, E-Health, Smart Cities, and Security . He earned his PhD in Computing Science from the University of Glasgow in 2004. His recent publications focus on edge computing architectures, digital twin security, Arabic NLP, wireless energy harvesting, and vehicular communication . His work has been recognized with IEEE Outstanding Service Award, Best Paper Awards at IEEE IUCC 2015 and ACM MoMM 2013 , and fellowships like Senior IEEE Member and British Higher Education Academy Fellow . He supervises 20+ PhD students and has served on 60+ IEEE/ACM conference committees. Current projects include AI-driven fish identification (Innovate UK £265K) , secure IoT protocols (Royal Society £12K) , and COG-MHEAR (EPSRC £3.26M) . He has held visiting professorships at Universite de Valenciennes, University of Sydney, and University of Shenyang.

Ronghua Xuمشاهده پروفایل

استادیار

• Blockchain
• Internet of Things
• Machine Learning
• +۶ مورد دیگر

Ronghua Xu is an Assistant Professor at the Department of Applied Computing, Michigan Technological University, specializing in blockchain, IoT, and edge computing. He is a member of the ICC Center for Cybersecurity. Ph.D. (2023), M.S. (2018) in Electrical and Computer Engineering, Binghamton University M.S. (2010) in Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics B.S. (2007) in Mechanical Engineering, Nanjing University of Science & Technology His research focuses on decentralized security networks, NextG network intelligence, and blockchain applications in IoT systems. Key themes include scalability, interoperability, and resilience in smart vehicular and urban air mobility networks. Recent publications highlight blockchain-enabled architectures for secure data access, federated learning, and edge resource management. Awards include the Graduate Student Excellence Award (2023) and ICC Rapid Seeding Awards (2024). Ronghua Xu actively seeks self-motivated Ph.D. students for his research group. He previously worked at Siemens (2010–2016) on software development and system integration.