جست‌وجوی استاد و پژوهشگر

Lin Zhongمشاهده پروفایل

استاد

• Computer Science
• Quantum Computing
• Operating Systems
• +۳ مورد دیگر

Lin Zhong is the Joseph C. Tsai Professor of Computer Science at Yale University, leading the Efficient Computing Lab. He holds a Ph.D. from Princeton University and M.S./B.S. degrees from Tsinghua University. Previously, he served at Rice University from 2005 to 2019. His research focuses on optimizing computing efficiency, quantum error correction, operating systems, and mobile systems. Education: Ph.D., Princeton University M.S., Tsinghua University B.S., Tsinghua University Research Interests: His work spans quantum computing (e.g., decoding algorithms for surface codes), operating systems (safety, correctness, and lightweight kernels), and mobile/networking systems (massive MIMO, energy-efficient designs). Recent trends include integrating large language models (LLMs) into robotics and securing cloud-based AI workflows. Awards: NSF CAREER Award ACM SIGMOBILE RockStar (2014) and Test of Time (2022) Fellowships from IEEE and ACM Best Paper Awards at ACM MobileHCI, IEEE PerCom, ACM MobiSys, and more Lab & Teams: His Efficient Computing Lab explores systems for quantum error correction (e.g., FPGA-based decoders), secure embedded systems, and LLM-driven robotics. Projects include TimelyLLM (real-time LLM serving) and Blindfold (confidential memory management).

• Synthetic Biology
• Enzyme Engineering
• Genetic Circuits
• +۳ مورد دیگر

Dr. Seung-gu Lee is a Principal Scientist and Director of the Synthetic Biology Institute at the Korea Research Institute of Bioscience and Biotechnology (KRIBB). He holds a Ph.D. in Biotechnology from KAIST and serves as the President of the Korean Society of Enzyme Engineering. His leadership extends to multiple national research initiatives focused on advancing synthetic biology infrastructure and applications. Dr. Lee is a leading expert in genetic circuits and enzyme engineering for synthetic biology. He pioneered the development of GESS (Genic Enzyme Screening System/Circuits) technology, which enables ultra-high-speed screening of trace enzyme activities at the single-cell level. His research focuses on applying intelligent genetic circuits to biosensors, metabolic control, and bioprocess development. He is actively integrating AI-based automated workflows with synthetic biology to revolutionize the speed and scale of biological research. His work spans multiple disciplines including enzyme engineering, genetic circuit design, metabolic engineering, and biofoundry development. Dr. Lee currently leads several major research initiatives including the Korea-North America Biofoundry Collaboration Global Joint Research Center, the development of core technologies for advanced synthetic biology, and the establishment of biofoundry infrastructure. His research team at KRIBB works at the intersection of synthetic biology, enzyme engineering, and AI-based automation to develop next-generation bio-manufacturing platforms. The lab has made significant contributions to genetic circuit design, biosensor development, and plastic biodegradation technologies.

Elaine Jing Zhaoمشاهده پروفایل

دانشیار

• Communication and Media Studies
• Communication Technology and Digital Media Studies
• Film, Television and Digital Media
• +۶ مورد دیگر

Associate Professor Elaine Jing Zhao is based at the School of the Arts and Media , University of New South Wales , with expertise in digital media economies, cultural production, and platform governance in transitional China and the Asia-Pacific region. She authored the monograph Digital China's Informal Circuits: Platforms, Labour and Governance and publishes in journals like New Media and Society and Global Media and Communication . Research Focus: Cultural implications of digital platforms, media globalization, and creative labor dynamics Editorial Roles: Board member, Communication Research and Practice ; reviewer for ARC grants and international journals Her research portfolio emphasizes platform governance , digital media policy , and cultural innovation in China's digital economy. Recent projects examine China's platform internationalization and informal media economies. She supervises PhD candidates in these areas and has secured funding from both Australian Research Council and National Social Science Foundation of China . Scientific Awards: 2020 Faculty of Arts & Social Sciences Dean's Research Award for Best Monograph 2018 ARC Kathleen Fitzpatrick Laureate Fellowship Mentoring Scheme Award 2012 Australia-China Youth Dialogue Delegate 2010 Oxford Internet Institute Summer Doctoral Programme Participant She contributes to digital China scholarship through the Anthem book series and previously worked in the telecom and mobile internet industry before her academic career. Her work bridges sociocultural analysis and platform economy research.

Tom Conteمشاهده پروفایل

استاد

• Computer Architecture
• Compiler Optimization
• Manycore Architectures
• +۴ مورد دیگر

Tom Conte is an academic leader with a joint appointment in the School of Electrical & Computer Engineering and School of Computer Science at Georgia Institute of Technology. As the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH), he specializes in computer architecture and compiler optimization. His work focuses on manycore architectures, energy-efficient microprocessor design, and embedded system architectures. Prior to Georgia Tech, he directed the Center for Embedded Systems Research at North Carolina State University. He holds IEEE Fellow status and served as 2015 President of the IEEE Computer Society, co-leading the IEEE Rebooting Computing Initiative since 2011. Dr. Conte earned his bachelor’s degree in Electrical Engineering from the University of Delaware (1986), followed by M.S. and Ph.D. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign (1988 and 1992). His research has been recognized with prestigious awards including the IEEE Computer Society’s Golden Core Member award and the National Science Foundation’s CAREER Award (1996). His research interests span quantum computing, 3D chip architectures, energy-efficient processing, and post-Moore computing innovations. He has pioneered initiatives like the Superstrider architecture and CREEPY energy-efficient processing frameworks. Recent work includes advancements in quantum programming languages (e.g., Qwerty) and hybrid quantum-classical systems. Awards: IEEE Fellow, Young Alumni Achievement Award, CAREER Award Leadership: IEEE Computer Society President (2015), CRNCH Director Key Projects: Rebooting Computing Initiative, Superstrider Architecture His lab’s contributions include novel compiler optimizations for manycore systems, smart NIC offloading techniques, and thermodynamically inspired computing models. Conte’s work bridges academic research with industry needs through interdisciplinary collaborations and standardization efforts.

Kunhee (KC) Choiمشاهده پروفایل

استاد

• Artificial Intelligence in Transportation
• Construction Management
• Infrastructure Sustainability
• +۶ مورد دیگر

Kunhee (KC) Choi is a Professor in the Department of Construction Science at Texas A&M University, holding the History Maker Homes Endowed Professorship and serving as a Chancellor EDGES Fellow. His research focuses on enhancing transportation systems through cyber-enabled solutions, including digital twinning, artificial intelligence, and data-driven modeling. B.E. in Architectural Engineering, Korea University (1999) M.S. in Construction Science, Texas A&M University (2002) Ph.D. in Civil and Environmental Engineering, University of California, Berkeley (2008) Dr. Choi’s work addresses four key areas: (1) AI-powered mobility and safety solutions for highway projects, (2) cost-time-risk tradeoff analyses under alternative contracting methods, (3) infrastructure sustainability through life-cycle assessment, and (4) stochastic modeling for civil planning and management. His research has been funded by NSF, USDOT, NCHRP, and TxDOT. Recent publications highlight his emphasis on predictive analytics, flood resilience, pavement engineering, and AI-driven disaster recovery frameworks. The i²dEAS Lab, which he directs, has produced 130+ peer-reviewed publications and secured $500k+ in annual research funding. Chancellor EDGES Fellow (2022) NSF Grant Recipient for Road Safety Research Texas Sea Grant Program Award (NOAA Funding) for AI-based evacuation route modeling Dr. Choi’s teaching philosophy emphasizes integrative learning and interdisciplinary critical thinking in construction management. His lab collaborates with academia, government, and industry to optimize transportation infrastructure performance through safer, more efficient management strategies.

• Complex networks
• Industrial electronics
• AI and machine learning
• +۴ مورد دیگر

Associate Professor Fengling Han is affiliated with RMIT University's School of Computing Technologies in Melbourne, Australia. He holds the rank of Associate Professor since January 2022. His research focuses on complex networks, industrial electronics, AI/machine learning, and network security. Notable contributions include steganography frameworks for healthcare data, sliding mode control for energy systems, and blockchain applications in surveillance and voting systems. His work spans interdisciplinary areas such as renewable energy integration, battery management systems, and privacy-preserving recommendation systems. He has supervised numerous projects, including AI-driven chatbots, medical imaging watermarking, and peer-to-peer energy trading systems. Han's service roles include conference reviewing and committee memberships in international conferences like IEEE and ISMST. Research Interests: His expertise spans electrical engineering, control systems, and AI applications. Key areas include battery management, cybersecurity, and smart manufacturing. Recent projects emphasize Industry 5.0 technologies, blockchain for data integrity, and deep learning for steganalysis. Teaching and Supervision: Teaches network security, data communication, and IT infrastructure. Current supervision includes AI-powered business modeling, medical imaging tampering detection, and renewable energy sharing systems. Over 14 research projects are documented, reflecting his interdisciplinary impact. Awards and Recognition: While specific awards are not listed, his extensive publications (over 150 outputs) and high citation counts (e.g., 119 citations for the Industry 5.0 survey) highlight his scholarly contributions.

Jon McCormackمشاهده پروفایل

استاد

• Computational Creativity
• Human-machine interfaces
• Artificial Intelligence/Cybernetics
• +۹ مورد دیگر

Jon McCormack is a Professor jointly appointed in Monash University's Faculty of Art, Design & Architecture (MADA) and Faculty of Information Technology. He founded and directs SensiLab, a research facility focusing on computational creativity, human-machine interfaces, and generative systems. His work spans electronic media art, evolutionary music, and artificial life. McCormack holds a PhD in Computer Science from Monash University, along with degrees in Computer Science, Applied Mathematics, and Film/Television. Research interests include computational creativity, tangible interfaces, and cybernetic systems. Notable projects include 'Explainable Artificial Creativity' (ARC-funded) and 'Building 4.0 CRC,' addressing architectural innovation through AI. He has been recognized with awards for collaborative projects like the Blundstone Intelligent Footwear for Healthcare. McCormack's recent articles explore AI-driven art, generative systems, and interdisciplinary design. His work bridges artistic practice with technical innovation, emphasizing ethical and creative dimensions of human-AI collaboration. SensiLab serves as a hub for practice-based research in digital media and interactive systems. Education: PhD in Computer Science, Monash University (2004) Bachelor of Science (Honours), Computer Science/Applied Mathematics, Monash University (1987) Graduate Diploma in Film/TV, Swinburne University (1986) Bachelor of Science, Computer Science/Applied Mathematics, Monash University (1985) Key Projects: Lead investigator on 'Explainable Artificial Creativity' (2022–2026) Co-investigator in 'Building 4.0 CRC' (2020–2027), exploring AI-driven architectural design Awards: 2022 Designers Australia Award for Blundstone Footwear 2020 'On the Machine Condition' Prize McCormack's lab, SensiLab, fosters collaborations across disciplines, producing exhibitions, software, and theoretical frameworks for computational creativity. He actively supervises PhD students in practice-based research, emphasizing the intersection of art and technology.

Yu Xiaoمشاهده پروفایل

دانشیار

• Edge Computing
• Extended Reality (XR)
• Wearable Computing
• +۷ مورد دیگر

Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.

Alan J Murphyمشاهده پروفایل

استاد

• Decarbonizing Shipping
• Marine Emission Reduction
• Energy Efficiency in Maritime Systems
• +۴ مورد دیگر

Professor Alan J Murphy is a leading academic in Maritime Engineering at the University of Southampton. He holds a First-Class BEng in Naval Architecture and a PhD in Experimental Hydrodynamics. His research focuses on decarbonizing maritime systems, emission reduction, and sustainable propulsion technologies. He has held leadership roles including Head of the Marine, Offshore and Subsea Technology Group at Newcastle University and is currently Editor-in-Chief of the International Journal of Maritime Engineering. Education: BEng Naval Architecture (Newcastle University), PhD Experimental Hydrodynamics (University of Southampton) Affiliations: Royal Institution of Naval Architects Fellow, Worshipful Company of Shipwrights Liveryman Research interests include net-zero maritime propulsion, energy efficiency, and policy/regulation for sustainable shipping. He has supervised numerous PhD students and contributed to major projects such as the establishment of Newcastle University’s Singapore campus. Publications span topics like electrified port systems, alternative marine fuels, and underwater vehicle navigation. Awards include the Stanley Grey Fellowship and Froude Scholarship.

• Numerical Analysis
• Applied Mathematics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Stefan Vandewalle is a full professor at the Department of Computer Science, Faculty of Engineering Sciences, KU Leuven. His research focuses on numerical analysis, applied mathematics, and computational methods for stochastic differential equations, wind energy modeling, and uncertainty quantification. Department Chair, KU Leuven Member, Subdivision Numerical Analysis and Applied Mathematics Member, iSi Health Institute Observer, Faculty Council of Sciences Chair, Department Council for Computer Science His recent work explores multiscale modeling, Monte Carlo methods, and data assimilation techniques. Projects include micro-macro Parareal algorithms, wind turbine aeroelasticity, and turbulent flow reconstruction for wind farms. He supervises PhD candidates and collaborates on interdisciplinary studies involving structural mechanics and renewable energy systems. Publications highlight advancements in parallel-in-time methods, stochastic optimization for tokamak reactors, and DNS-based control of turbulent flows. Key keywords: Multiscale numerical methods Uncertainty quantification Wind energy simulation Monte Carlo algorithms PDE-constrained optimization Stochastic differential equations He contributes to academic governance as a member of extended faculty boards and evaluation committees.

Harald C. Gallمشاهده پروفایل

استاد

• Software Engineering
• Software Evolution
• Software Architecture
• +۳ مورد دیگر

Harald C. Gall is a Professor of Software Engineering and Dean of the Faculty of Business, Economics, and Informatics at the University of Zurich (UZH). He leads the Software Evolution and Architecture Lab, focusing on software evolution analysis, mining software repositories, and cloud-based software engineering. His research emphasizes improving software development productivity through data-driven insights. He has held visiting positions at Microsoft Research and the University of Washington. Education: PhD (Dr. techn.) and Master's (Dipl.-Ing.) in Informatics from TU Vienna Research Interests: Software evolution, mining software archives, cloud-based tools, developer productivity, and empirical software engineering. Notable contributions include the Evolizer , ChangeDistiller , and SOFAS systems. Key Contributions: Established the Mining Software Repositories (MSR) research area, program chair for ICSE 2011 and ESEC/FSE 2005, associate editor of leading journals like Empirical Software Engineering and IEEE Software. Awards: Most Influential Paper Award, Test of Time Award, and multiple Best Paper Awards. Recognized for contributions to SE research methodologies and tool development. Professional Activities: ACM SIGSOFT awards chair, board member of Informatics Europe, and executive committee member of CHOOSE (Swiss SIG for OO Systems). Labs/Teams: Director of the Software Evolution and Architecture Lab at UZH, leading projects like SURF-MobileAppsData (SNSF-funded) and DevCloud (Hasler Foundation).

Jes Sammutمشاهده پروفایل

استاد

• Aquaculture
• Marine Science
• Environmental Impact Assessment
• +۷ مورد دیگر

Professor Jes Sammut is a faculty member at the University of New South Wales (UNSW) in the School of Biological, Earth & Environmental Sciences . He serves as Deputy Dean for External Engagement and leads the UNSW Aquaculture Research Group , while also holding the position of Deputy Director (International) at the Centre for Marine Science & Innovation. Additionally, he is an Honorary Research Fellow at ANSTO , where he uses nuclear tools to study seafood provenance. His research spans biological, physical, and social sciences, focusing on aquaculture solutions across Australia, Vietnam, Papua New Guinea, Indonesia, India, Thailand, and the Philippines.

• Artificial Intelligence in Healthcare
• Precision Medicine
• Machine Learning Applications in Healthcare
• +۵ مورد دیگر

Magnus Boman is a Professor of AI and Health at the Department of Medicine, Solna, Karolinska Institutet (KI), where he leads the AI@KI initiative to support researchers in AI integration. He is affiliated with the Chronic Inflammatory Disease Epidemiology research group under Johan Askling. His research focuses on AI applications in precision medicine, multimodal prediction, ethical norms in AI systems, energy-efficient computing, and quantum sensor data interpretation. Research Interests: Artificial Intelligence in healthcare and precision medicine Multimodal data analysis for disease prediction and treatment Machine learning for clinical decision support systems Ethical and societal implications of AI Grants: Swedish Research Council: Improving breast cancer histology image classification (2024-2026) Scalable Federated Learning (2022-2025) Ai in sustainable cities (VINNOVA, 2019) Advising & Students: Supervised over 50 PhD and Master's students across KI, KTH, and Stockholm University, focusing on AI applications in healthcare, machine learning, and computational epidemiology. Notable projects include predictive modeling for mental health outcomes and variant filtering in genetic data. Labs & Teams: Leads AI@KI, fostering AI adoption in medical research. Collaborates with the Johan Askling group on epidemiology and chronic disease studies.

• Cryptography
• Information Security
• Authenticated Encryption
• +۳ مورد دیگر

Assoc Prof Wu Hongjun is an Associate Professor at the Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University (NTU). His research focuses on cryptography and information security, with notable contributions to lightweight authenticated encryption algorithms like TinyJAMBU and ACORN, as well as cryptanalysis of stream ciphers (e.g., ZUC, HC-128) and hash functions (e.g., JH, SHA-3 candidates). His academic career includes over 15 years of contributions to cryptographic standards, IoT security frameworks, and secure cloud data management. Key areas of expertise encompass symmetric-key cryptography, algorithm design for resource-constrained devices, and vulnerability analysis of cryptographic primitives. Prof Wu has authored influential papers on authenticated encryption modes (AEGIS, MORUS), lightweight cipher optimizations (ACORN), and cryptanalysis techniques applied to Feistel networks and stream ciphers. His work bridges theoretical cryptography with practical implementations across telecommunications, IoT, and cloud computing domains.

Fred A. Kishمشاهده پروفایل

استاد

• Photonics
• Optoelectronic Devices
• Compound Semiconductor Materials
• +۳ مورد دیگر

Fred A. Kish is the MC Dean Distinguished Professor and Director of the NC State Nanofabrication Facility at North Carolina State University. He holds a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign (1992). His research focuses on Photonics, Optoelectronic Devices, and Compound Semiconductor Materials , with emphasis on photonic integrated circuits (PICs), quantum information science, and semiconductor material engineering. He has co-invented foundational technologies for LEDs, VCSELs, and large-scale PICs, contributing over $7B in commercialized products. His leadership includes roles at Hewlett-Packard, Agilent Technologies, and Infinera Corporation, where he pioneered optical communication systems. Dr. Kish is a Fellow of the National Academy of Inventors, Optica, and IEEE, and a member of the National Academy of Engineering. His awards include the IEEE David Sarnoff Award and the John S. Risley Entrepreneur of the Year Award. He has authored 170+ peer-reviewed publications, 135+ patents, and 5 book chapters. His current work drives advancements in wide bandgap semiconductors and photonic integration for next-generation communications and sensors. Labs/Teams: Directs the NC State Nanofabrication Facility, a hub for semiconductor innovation. Collaborates on the CLAWS Hub, a $39.4M CHIPS Act-funded regional semiconductor innovation initiative.