جست‌وجوی استاد و پژوهشگر

Daniel Kongمشاهده پروفایل

مدرس ارشد

• Geopolymer Science
• Sustainable Cement and Concrete Materials
• Fire Engineering in Construction
• +۴ مورد دیگر

Daniel Kong is a Senior Lecturer at Monash University's Department of Civil Engineering within the Malaysia School of Engineering. He joined Monash in 2014 as a founding academic staff member and has contributed significantly to curriculum design and research in structural materials and infrastructure. He holds a PhD in Structural Engineering and a BEng (Hons) in Civil Engineering. Research Interests: His work focuses on geopolymer science, sustainable cement materials, fire engineering, infrastructure management, climate change vulnerability, self-healing pavements, and digital sustainability. His research is supported by grants totaling ~USD 350,000 and involves collaborations with local governments, industry partners, and international institutions. Teaching Commitments: Daniel teaches courses such as ENG1011 (Engineering Methods), CIV3294 (Structural Design), and supervises final-year projects. He serves as Course Director, overseeing program accreditation and academic quality. Awards: ITEX 2019 - Gold Medal Japan Intellectual Property Association Award (JIPA) 2021 - Special Award Malaysia-Croatia Technology Exchange 2021 - International Award MTE 2020 and 2021 Gold Awards Grants & Projects: Leads projects like 'Qualifying and Quantifying the Sustainability Impact of Ultra-High-Performance Concrete' (2023–2027) and 'Research Analysis of Waste Alkali Stream Silicates' (2023–2026). Collaborates with institutions globally on geopolymer science and sustainable materials. Labs & Teams: Heads a dynamic research team of postdocs, students, and assistants focused on industry-relevant projects, emphasizing practical impact and long-term partnerships.

Jenny Wongمشاهده پروفایل

دانشیار

• Environmental Chemistry
• Atmospheric Aerosols
• Climate Science
• +۳ مورد دیگر

Jenny Wong is an Associate Professor in the Department of Chemistry at Mount Allison University. Her research focuses on environmental chemistry, particularly the physiochemical properties and toxicity of atmospheric aerosol particles and their impacts on climate and human health. She combines laboratory experiments, field measurements, and analytical tool development to address questions about aerosol behavior and the effectiveness of air quality regulations. Her work emphasizes interdisciplinary approaches integrating analytical, physical, and biological chemistry with toxicology. Wong leads a research group committed to fostering an equitable, diverse, and inclusive environment. The group actively encourages participation from underrepresented backgrounds. Recent group highlights include Rin a Takai’s MSc degree and Rice Fellowship award, Makayla Churchill and Heath Patterson’s Independent Study Research Grants, and Zoë Lindensmith’s Best Oral Presentation award at Chem Conn 2024. The group also engages in collaborative activities like axe-throwing and pottery painting to build team cohesion. Her research projects explore aerosol-cloud interactions, biomass burning impacts, and 3D printer emissions. She mentors undergraduate and graduate students through thesis research, independent studies, and summer projects. Current opportunities include CHEM4990 Honours Thesis work and MSc degrees in Chemistry with direct mentorship. The group emphasizes hands-on training and provides competitive stipends supplemented by external scholarships like ResearchNB awards. Wong’s lab facilities include Barclay 305 for experimental work and maintains a dedicated website (https://jwonggroup.com) for research updates. Her work has contributed to understanding aerosol toxicity, climate feedback mechanisms, and the development of new analytical methodologies in environmental chemistry.

Christina Politiمشاهده پروفایل

دانشیار

• Optical Networking
• High-Speed Optical Communications
• 5G and IoT Technologies
• +۳ مورد دیگر

Christina (Tanya) Politi is an Associate Professor at the Department of Electrical and Computer Engineering, University of Peloponnese. She specializes in optical networking, high-speed communications, and IoT/smart city technologies. With a PhD in Physics from the University of Essex, she has contributed to over 100 publications and collaborated with the NAM group at the University of Patras on 5G and digital infrastructure projects. Her work bridges optical systems, wireless technologies, and modern digital frameworks for smart urban environments. She is also an associated member of Patras Science Park. Education: B.Sc. in Physics, University of Athens (1998) M.Sc. in Physics of Laser Communications, University of Essex (2000) PhD in Optical Communications, University of Essex (2005) Research Focus: Optical packet switching and fiber-optic networks High-speed data center interconnections 5G/6G technologies and IoT applications Smart city infrastructure and digital twins Laser-based security and entropy generation Recent Research Trends: Her articles explore cutting-edge areas like quantum-dot spin-VCSELs for neuromorphic computing, laser-fabricated security systems, and metaverse-driven smart city frameworks. These reflect her dual focus on optical fundamentals and applied digital technologies. Collaborations and Labs: Active in the NAM group (University of Patras) for 5G experimentation and affiliated with Patras Science Park. Her work integrates theoretical research with industrial applications in telecommunications and smart infrastructure.

Alejandro Sztrajmanمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Graphics
• Computer Vision
• +۳ مورد دیگر

Alejandro Sztrajman is a Researcher and Research Associate at the University of Cambridge's Department of Computer Science and Technology, affiliated with the Rainbow Group. He holds a PhD in Computer Science from University College London (UCL), supported by a Marie Curie Fellowship, and has conducted research internships at Microsoft and Adobe. His work bridges machine learning and visual computing, focusing on neural fields, generative AI, and physics-based rendering, with applications in material appearance modeling, scene illumination, and computational photography. His research spans topics like neural BRDF representations, point cloud generation via diffusion models, and interpretable time series analysis. Key contributions include LSCD (irregular time series imputation), NeuMaDiff (material synthesis via hyperdiffusion), and FrePolad (point cloud generation). He has also developed methods for HDR image deglaring and color calibration for OLED displays. Awards include the Wiley Top Cited Paper and Marie Curie Fellowship funding. His work emphasizes practical applications, with publications in top-tier venues like ECCV, CVPR, and ICML. Collaborations involve Professors Cengiz Öztireli and Rafał Mantiuk at Cambridge, and Tobias Ritschel at UCL. His research aims to advance generative AI, neural rendering, and physically grounded machine learning techniques.

• Computer Architecture
• Mobile Systems
• Robotics and Automation
• +۴ مورد دیگر

Jon Ludlam is a Senior Research Associate at the Department of Computer Science and Technology, University of Cambridge. His primary affiliation is with the Computer Architecture Group, focusing on advanced systems research. Research Interests: Computer Architecture Mobile Systems and Robotics Programming Languages & Verification Security & Systems Networking His work bridges theoretical foundations with practical implementations in distributed computing, cloud infrastructure, and virtualization technologies. Publications reflect a trajectory from early studies in materials physics (e.g., vibrational localization in disordered systems) to modern systems challenges in virtualization, unikernel optimization, and network-aware resource management. Notable contributions include Jitsu: Just-In-Time unikernel summoning and heterogeneous processor pool virtualization frameworks. No scientific awards listed. No advisees documented. Active in collaborative research within the department's Energy and Environment Group and Accelerate Programme for Scientific Discovery.

Steve Blackburnمشاهده پروفایل

استاد

• Computer Science
• Programming Languages
• Memory Management
• +۵ مورد دیگر

Steve Blackburn is a Professor of Computer Science at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on programming language implementation, garbage collection algorithms, performance analysis, and high-performance runtime systems. He leads key projects like the DaCapo benchmark suite and the MMTk memory management framework. **Education & Background**: No specific education details provided, but his career spans decades with extensive contributions to computer science research. **Research Interests**: Blackburn prioritizes garbage collection innovation, memory management optimization, and empirical performance evaluation. His work bridges theory and practice, addressing challenges in managed runtimes, just-in-time compilation, and hardware-software co-design. He emphasizes reproducible research through shared infrastructure. **Recent Article Trends**: His 2020–2025 publications emphasize low-latency garbage collection, memory management in distributed systems (e.g., Mako collector for datacenters), and novel approaches to Java/JVM performance analysis. He also explores hardware features like transactional memory and their impact on runtime systems. **Awards**: ACM Fellow (2020+). **Grants & Leadership**: Served as Associate Dean for Diversity & Inclusion in ANU’s College of Engineering and Computer Science (2014–2019). Editorial roles include ACM TOPLAS Associate Editor (2017–2020) and program chairs for top conferences like PLDI (2015) and ISMM (2008). **Labs & Projects**: Leads the MMTk and DaCapo initiatives, foundational tools for memory management and benchmarking in academia and industry.

Manu Prakashمشاهده پروفایل

دانشیار

• Bioengineering
• Biophysics
• Microfluidics
• +۷ مورد دیگر

Manu Prakash is an Associate Professor of Bioengineering at Stanford University, with a courtesy appointment in Oceans and Biology, and a Senior Fellow at the Woods Institute for the Environment. His research integrates physics, engineering, and biology to explore computation in biological systems, develop low-cost diagnostic tools (e.g., Foldscope), and address planetary challenges through citizen science. He leads the Prakash Lab, focusing on frugal science innovations, oceanography, and disease diagnostics. Education: Ph.D., MIT, Applied Physics (2008) M.S., MIT, Applied Physics (2004) B.Tech, Indian Institute of Technology, Computer Science (2002) Research Interests: Biological computation in single-cell organisms and non-neuronal systems Frugal science tools for global health and environmental monitoring Marine plankton behavior and ocean carbon sequestration Diagnostic technologies for malaria, tuberculosis, and other diseases His work emphasizes accessibility: projects like Foldscope ( foldscope.com ) and Planktoscope aim to democratize scientific inquiry. Advising & Collaborations: Labs: Prakash Lab, Foldscope Instruments Projects: Open-source ventilator design, N95 decontamination, and citizen science initiatives like Plankton Planet Focus areas include biophysical mechanisms of cellular motility and environmental sensors Labs & Teams: Prakash Lab: Combines engineering and biology to create affordable tools Planktoscope Initiative: Citizen-driven oceanography platform

Honggang Zhangمشاهده پروفایل

استاد

• Edge computing
• deep reinforcement learning
• mobile computing
• +۲ مورد دیگر

Honggang Zhang is a Professor in the Department of Engineering at the University of Massachusetts Boston. His educational background includes: PhD in Computer Science from the University of Massachusetts Amherst Professor Zhang's primary research interests are: Edge computing deep reinforcement learning mobile computing Internet of things computer networking His work focuses on solving complex resource allocation challenges in distributed computing environments through innovative algorithmic approaches. He specializes in developing optimization frameworks that integrate machine learning techniques with networking principles to enhance system efficiency and user experience in edge and cloud infrastructures. Analysis of his 2018-2019 publications reveals a concentrated research trajectory on edge computing systems, with particular emphasis on job scheduling optimization, computation offloading strategies, and economic modeling. His work consistently bridges theoretical reinforcement learning concepts with practical networking implementations, demonstrating strong interdisciplinary connections between computer science, operations research, and telecommunications engineering. No scientific awards are mentioned in the provided information. Information regarding Professor Zhang's student advising activities and research grant funding is not available in the current text. There is no mention of specific research laboratories or collaborative teams led by Professor Zhang in the provided excerpt.

Christopher Smithمشاهده پروفایل

دانشیار

• Computer Vision
• Robotics
• Wireless Sensor Networks
• +۳ مورد دیگر

Christopher Smith is an Associate Professor in the School of Computer Science & Mathematics at Lake Superior State University, within the College of Business, Engineering, Computer Science, & Mathematics. His research focuses on computer vision, robotics, and wireless sensor networks, with applications in precision agriculture, medical imaging, and human-robot interaction. He holds a B.S. from Lake Superior State University, an M.S. from the University of Michigan, and a Ph.D. from the University of Minnesota. Education: Bachelor of Science, Lake Superior State University Master of Science, University of Michigan Doctor of Philosophy, University of Minnesota Research Interests: Dr. Smith’s work spans robotics, sensor networks, and vision-based systems. Recent projects include: Developing robust algorithms for plant phenotyping in 3D point clouds Advancing fractal-based models for image segmentation and tracking Leveraging wireless sensor networks for accessibility solutions Exploring statistical methods for dynamic system modeling Publications reflect a focus on interdisciplinary applications of computer vision and robotics, with contributions to precision agriculture, medical imaging, and autonomous systems. His work often bridges theoretical foundations and real-world implementations, emphasizing practical solutions in unstructured environments. He has no listed scientific awards or grants in the provided data, and no advisees are mentioned. His office is located in CAS 206 F.

Todor Stoyanovمشاهده پروفایل

مدرس ارشد

• Autonomous Mobile Robots
• Robot Perception Algorithms
• Motion Synthesis for Manipulation
• +۳ مورد دیگر

Todor Stoyanov is a Senior Lecturer in Computer Science and an affiliated faculty member of the WASP program at Örebro University. He serves as the subject manager in computer science and is part of the Centre for Applied Autonomous Sensor Systems (AASS). His research focuses on autonomy for mobile robots, particularly perception algorithms and motion synthesis for manipulation. He holds a PhD in Computer Science from Örebro University (2012), specializing in autonomous robot navigation. Education: PhD in Computer Science, Örebro University, 2012 (Thesis: Reliable Autonomous Navigation in Semi-Structured Environments Using the 3D Normal Distributions Transform) Research Interests: Dr. Stoyanov's work spans autonomous mobile robots, robot perception, motion planning, and manipulation. Key areas include behavior trees for control, deformable object tracking, and reinforcement learning for knowledge transfer. His research often integrates advanced algorithms with real-world robotics applications in logistics, manufacturing, and environmental monitoring. Research Projects: Ongoing: Labour market effects of AI in knowledge-intensive services Ongoing: Dynamic Agile Production Robots (DARKO) Ongoing: TeamRob - Teams of Robots Working for and with Humans Completed: Action and Intention Recognition in Human-Robot Interaction (AIR) Completed: Autonomous Wheeled Loaders for Material Handling (ALL-4-eHam) Labs/Groups: He leads the Autonomous Mobile Manipulation Lab, focusing on full-body mobile manipulation and human-robot collaboration.

Alexander Carôtمشاهده پروفایل

استاد

• Networked Music Performance
• Real-Time Audio Streaming
• Telecommunication Systems
• +۳ مورد دیگر

Prof. Dr. Alexander Carôt is a Professor of Media Informatics at Anhalt University of Applied Sciences, leading the Faculty of Computer Science and Languages as its Dean. His work bridges physics, computer science, and music, with a focus on networked music performance and low-latency audio systems. He developed the SoundJack software, enabling remote collaborative music-making, and contributed to projects like FAST-MUSIC and 5GUK trials for distributed music sessions. His research spans telemedicine applications, real-time streaming optimization, and quantum effects in telecommunications. Education: Ingenieursdiplom (2004) Doctorate in Engineering (2009) Research Interests: Prof. Carôt explores interdisciplinary fields combining technology and music. Key areas include: Real-time audio networking for live performances 5G-enabled tele-music systems Medical tele-rehabilitation using music feedback Low-latency multimedia streaming protocols Grants & Projects: Led initiatives like the FAST-MUSIC project and 5G trials, focusing on distributed music collaboration. Active in EU-funded research on telematic systems and networked audio. Labs/Teams: Directs the SoundJack development team and collaborates with industry partners on 5G infrastructure for arts and healthcare.

• Cybersecurity
• Network Security
• Healthcare Information Security
• +۳ مورد دیگر

Young B. Choi is a Professor in the Department of Engineering & Computer Science at Regent University, specializing in cybersecurity, network security, and healthcare information security. He has held academic positions at institutions including James Madison University and the University of Missouri-Kansas City, and industry roles at companies like Creative Technology Ltd. and Compaq Computer Corporation. His research focuses on securing telecommunications, healthcare data privacy (HIPAA compliance), and emerging technologies like blockchain. Dr. Choi has served as an associate technical editor of the IEEE Communications Magazine since 2005 and contributed to over 150 refereed publications. He is an Outstanding Contributor in the TeleManagement Forum’s University Community Program and a member of the LoRa Alliance. Education: Ph.D. & M.S. in Computer Networking from University of Missouri-Kansas City; M.S. in Computer Science from KAIST; B.S. in Computer Science & Statistics from Chonnam National University. His research interests span secure service management, information assurance for homeland security, and cybersecurity in telemedicine. Key contributions include frameworks for HIPAA compliance audits, mitigation strategies for 5G security risks, and blockchain applications in patient data protection. Dr. Choi has authored Selected Readings in Cybersecurity (Cambridge Scholars Publishing, 2018) and contributed to multiple technical specifications and book chapters. Notable awards include the 2016 Regent University Faculty Excellence Award and a 1996 Best Paper Award at IEEE NOMS. His work frequently addresses real-world cybersecurity challenges, such as analyzing high-profile data breaches (e.g., Facebook, Equifax) and advancing BYOD security through NAC and next-gen firewalls.

AZAHARI Afiqahمشاهده پروفایل

پژوهشگر

• Digital Security
• Blockchain Technology
• Cybersecurity
• +۵ مورد دیگر

Dr. AZAHARI Afiqah is a researcher at EURECOM's Digital Security department, focusing on blockchain technology, cybersecurity, and military applications. She has published extensively on decentralized systems, digital forensics, and smart supply chain solutions. Her research spans multiple domains including: Blockchain-based attendance systems Military supply chain traceability Digital forensic process modeling Smart library and inventory systems Android malware detection frameworks Recent work emphasizes blockchain integration with biometric authentication, temperature monitoring, and GPS tracking. She has contributed to developing innovative solutions for secure digital environments and knowledge management systems.

Valeria Cardelliniمشاهده پروفایل

دانشیار

• Distributed Computing Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Valeria Cardellini is an Associate Professor in Computer Engineering at the University of Rome Tor Vergata, with a PhD in Computer Science and Automation Engineering (2001). Her research focuses on distributed computing systems, particularly cloud-based and edge-based systems, with emphasis on resource provisioning, self-adaptation, and QoS-driven optimization. She has published over 90 peer-reviewed papers, including award-winning works at IEEE SOSE and ACM DEBS conferences, and has led collaborations in EU projects like EoCoE (2015-2018) and the Cloud for Europe tender (2016-2017). She has organized major events such as UCC 2018 and contributed to workshops like Auto-DaSP. Teaching includes distributed systems, cloud computing, and computer architectures at both undergraduate and graduate levels. Education: PhD in Computer Science and Automation Engineering (2001), University of Rome Tor Vergata Previous academic qualifications not explicitly listed Research Interests: Her work spans geo-distributed systems, serverless computing, edge-cloud continuum optimizations, and reinforcement learning for adaptive systems. Key areas include energy-efficient scheduling, fault-tolerant architectures, and QoS-aware service composition. Recent projects address scalability challenges in data stream processing and cybersecurity for distributed environments. Awards & Recognition: Best Paper Awards at IEEE SOSE 2011, ACM DEBS 2015, and ACM DEBS 2016 Keynote Speaker at IEEE MASCOTS 2016 Grants & Projects: Led EU H2020 projects (EoCoE), contributed to the European Cloud tender, and managed COST Action IC1304 (ACROSS). Current research involves cloud-edge continuum frameworks like Serverledge and FIGARO. Labs & Teams: Active in developing experimental platforms such as MOSES (for self-adaptation testing) and OpenCoarrays (coarray Fortran frameworks). Collaborates with interdisciplinary teams on HPC, distributed systems, and cybersecurity.

• Computer Networking
• Wireless Communications
• Network Virtualization
• +۵ مورد دیگر

Thierry Turletti is a Professor at INRIA with extensive research in computer networking, wireless communications, and network virtualization. His work focuses on network emulation, software-defined networking, 5G networks, and content-centric networking with numerous publications spanning over two decades. His primary research interests include developing advanced network emulation frameworks that maintain high fidelity in distributed environments, optimizing wireless network performance through innovative ray tracing techniques, and creating robust programmable networks with optimal failure recovery. His work bridges theoretical networking concepts with practical implementations, particularly in the areas of mobile edge computing and 5G network optimization. Recent publications demonstrate a clear trend toward solving practical networking challenges in large-scale distributed environments, with emphasis on network emulation fidelity, wireless signal propagation modeling, and network function placement. His research spans broad disciplines including computer networking, telecommunications engineering, and distributed systems, with specific focus on radio frequency mapping, network monitoring, and mobile network optimization. Dr. Turletti has been instrumental in developing network experimentation frameworks and tools that enable researchers to conduct realistic network testing in controlled environments. His work on Distrinet and Sophia-node represents significant contributions to the field of network testbeds and emulation platforms.