جست‌وجوی استاد و پژوهشگر

Xuan Zhangمشاهده پروفایل

دانشیار

• Artificial Intelligence Hardware
• Machine Vision Sensors
• Electronic Design Automation
• +۳ مورد دیگر

Xuan Zhang serves as Associate Professor in Electrical and Computer Engineering at Northeastern University, leading the Sensory AI Lab since joining in January 2024. Her research bridges computer architecture, integrated circuits, and artificial intelligence to develop miniaturized AI systems for autonomous physical platforms. She earned her PhD in Electrical and Computer Engineering from Cornell University in 2012. Her educational background forms the foundation for her interdisciplinary work spanning hardware and software co-design. Dr. Zhang's research focuses on artificial intelligence hardware, machine vision sensors, and security for autonomous systems. She pioneers techniques for efficient in-sensor computing, analog circuit optimization via machine learning, and hardware-level privacy preservation. Her work addresses critical challenges in energy efficiency, robustness, and security for edge AI deployment, particularly in resource-constrained environments like medical devices and autonomous vehicles. Analysis of her 2023-2025 publications reveals three dominant trends: (1) hardware-accelerated privacy mechanisms for sensors, (2) machine learning-driven analog circuit design automation, and (3) energy-efficient architectures for neural network inference. These works consistently target real-world applications in healthcare, autonomous systems, and semiconductor design. Her accolades include the prestigious NSF CAREER Award (2020) and leadership in a $10 million federal semiconductor initiative. She contributes to national efforts in AI-powered chip design through the National Center for the Advancement of Semiconductor Technology. Dr. Zhang advises graduate researchers in the Sensory AI Lab, securing significant funding for projects spanning hardware security, in-sensor computing, and autonomous system assurance. Her lab collaborates with federal agencies and industry partners on cutting-edge semiconductor research. The Sensory AI Lab operates at the hardware-software interface, developing novel architectures for intelligent edge devices. Current projects include optical privacy preservation, robust analog design tools, and energy modeling frameworks for in-sensor visual computing systems.

• Networking
• Cyber-Physical Systems
• Internet of Things (IoT)
• +۴ مورد دیگر

Matthew Chapman Caesar is a Professor at the University of Illinois, holding concurrent roles in the Siebel School of Computing and Data Science, Electrical and Computer Engineering, Information Trust Institute, Coordinated Science Lab, and Center for Digital Agriculture. His research focuses on networking, cyber-physical systems, IoT, and drone technologies. He has received the NSF CAREER Award in 2011. Research interests include software-defined networking, low-latency systems, drone swarm coordination, federated learning, and metaverse challenges from an IoT perspective. His work bridges theoretical foundations with practical applications in urban monitoring, autonomous systems, and immersive education. Recent publications explore topics such as cloud-based IoT education, obstacle-aware UAV deployment, and federated learning in drone systems. Grants and collaborations span military communications, Latin-American innovation, and metaverse computing. He is affiliated with the National Center for Supercomputing Applications (NCSA), leveraging high-performance computing for his interdisciplinary projects.

Maria Solerمشاهده پروفایل

پژوهشگر

• Nanophotonics
• Biosensors
• Nanoplasmonics
• +۵ مورد دیگر

Dr. Maria Soler serves as a Senior Researcher at the Catalan Institute of Nanoscience and Nanotechnology (ICN2), conducting pioneering work in the Nanobiosensors and Bioanalytical Applications group (NanoB2A) under the Networking Research Center of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). Her expertise spans nanophotonic biosensor development for real-time, label-free detection in complex biomedical environments. Her academic credentials include: PhD in Biochemistry, Molecular Biology and Biomedicine from Autonomous University of Barcelona (2015, with distinguished honors) Postdoctoral research at Ecole Polytechnique Federale de Lausanne (EPFL, Switzerland) for 3 years Dr. Soler's research integrates optical biosensor development , nanoplasmonics , and surface chemistry with molecular biology to create diagnostic platforms for immunology and personalized medicine. The NanoB2A group focuses on nanoplasmonic biosensors, silicon nanophotonic systems, lab-on-a-chip integration, and surface biofunctionalization, targeting clinical diagnostics and environmental applications through interdisciplinary innovation. Her publication trends reveal consistent advancement in label-free photonic biosensors for precision diagnostics, particularly in point-of-care testing for infectious diseases (including multiple SARS-CoV-2 applications) and cancer immunotherapy monitoring. This work bridges nanotechnology fundamentals with urgent healthcare needs, demonstrating exceptional translational potential in pandemic response and personalized treatment strategies. Dr. Soler's contributions have been recognized through distinguished PhD honors and features in Laser Focus World, though specific awards remain unlisted in available materials. Her research has secured significant ERDF funding for laboratory enhancements within the Biodeposition and Biodetection Unit (U4 NANBIOSIS). As leader of the NanoB2A laboratory at ICN2, she oversees cutting-edge equipment for nanobiosensor development and application, recently upgraded through European Regional Development Fund investments to advance diagnostic capabilities for complex biomedical challenges.

• Pervasive Computing
• Machine Learning
• Autonomous Systems (Drones)
• +۵ مورد دیگر

Associate Professor Damith Ranasinghe holds a position at the University of Adelaide's School of Computer Science within the Faculty of Sciences, Engineering and Technology. His research focuses on Pervasive Computing, Machine Learning, Autonomous Systems (Drones), and Cybersecurity with applications in population ageing, conservation, and software security. He leads the Adelaide Auto-ID Lab, dedicated to developing innovative solutions for real-world challenges through multi-disciplinary approaches. Ranasinghe's work emphasizes embedded systems security and adversarial machine learning defenses. His lab explores autonomous UAV-based wildlife tracking systems and wearable sensor technologies for healthcare applications like fall prevention in geriatric care. He actively supervises postgraduate students in Masters and PhD programs and has contributed to projects such as the Ambient Intelligent Geriatric Management (AmbIGeM) system. His technical contributions span firmware fuzzing methodologies (e.g., ICICLE emulator), Bayesian learning defenses against adversarial attacks, and hardware security solutions using PUF-based authentication. These innovations address critical needs in both theoretical and applied domains of computer science and engineering.

Solveig Bruvollمشاهده پروفایل

دانشیار

• Autonomous Systems
• Cybersecurity
• Military Technology
• +۴ مورد دیگر

Solveig Bruvoll is an Associate Professor at the University of Oslo (15% position) and holds a 100% research position at the Norwegian Defence Research Establishment (FFI). She specializes in Autonomous Systems and Cybersecurity , focusing on security in military operations and software resilience. Her work bridges engineering, mathematics, and defense applications. Research interests include autonomous vehicle security, defense simulation, and mathematical modeling. She teaches the course TEK5510 and has published extensively in conferences like IEEE CNS and journals such as Journal of Defense Modeling and Simulation . Her FFI affiliation emphasizes practical military technology and operational analysis. Publications highlight contributions to path planning algorithms, command agent modeling, and cybersecurity frameworks for autonomous systems. She collaborates on NATO projects, as seen in her work on M&S support for operational tasks. No awards are explicitly listed, but her research impacts critical defense and civilian infrastructure security domains.

Haijian Sunمشاهده پروفایل

استادیار

• Wireless Communication
• 5G and Beyond Networks
• Internet of Things (IoT)
• +۴ مورد دیگر

Haijian Sun is an Assistant Professor at the University of Georgia's School of Electrical & Computer Engineering. His research focuses on advanced wireless communication systems, including 5G/6G networks, federated learning, mobile edge computing, and physical layer security. He explores cutting-edge topics like reconfigurable intelligent surfaces (RIS), hybrid active-passive symbiotic radio systems, and UAV-enabled communication. His work integrates machine learning and optimization techniques to address challenges in channel modeling, energy efficiency, and network security. Recent projects include autonomous agricultural monitoring via drones and energy-harvesting sensors, as well as secure IRS-VLC communication strategies. Publications highlight innovations in dynamic wireless charging for electric vehicles, graph-based phishing detection, and radio radiance field modeling. While no specific awards are listed, his contributions reflect significant engagement with industry-relevant 6G research. Research collaborations involve digital twin networks, IoT systems, and smart grid applications. His team develops practical solutions for real-world communication challenges, emphasizing both theoretical rigor and deployable technologies.

David Wagnerمشاهده پروفایل

استاد

• Computer Security
• Security for AI (Large Language Models)
• AI for Security
• +۷ مورد دیگر

David Wagner is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley's College of Engineering. He holds the Carl J. Penther Chair in Engineering and leads the Wagner Research Group, which focuses on computer security, AI security, and systems security. Education Ph.D., Computer Science, UC Berkeley (2000) M.S., Computer Science, UC Berkeley (1999) A.B., Mathematics, Princeton University (1995) Research Interests Wagner's work spans computer security, with a particular focus on security for AI systems (especially large language models) and security for wearable/smartphone devices . He has extensive experience in wireless security , sensor network security , applied cryptography , and software security , including electronic voting systems and program analysis for security. His research group develops tools like OpenCount for election auditing, AuditBear for voting machine analysis, and PrimeVul for vulnerability detection in code. Scientific Awards ACM SIGSAC Test of Time Award (2022) IEEE Symposium on Security and Privacy Test of Time Award (2020) USENIX Test of Time Award (2019) Google Faculty Research Award (2018) Internet Defense Prize (2017) ACM SIGSAC Outstanding Innovation Award (2016) IBM Pat Goldberg Memorial Best Paper Award (2008) UC Berkeley Distinguished Teaching Award (2006) Sloan Research Fellow (2003) NSF CAREER Award (2001) Advising & Grants Wagner has advised numerous graduate students including Sizhe Chen , Zhanhao Hu , and Dennis Jacob . His research has been supported by grants from NSF (CAREER, ITR), Microsoft, Intel, and the Okawa Foundation. Labs & Teams He co-directs the Berkeley Security Research Group , participates in the ACTION Institute , and leads the KACST-UCB Joint Center on Cybersecurity. His team develops open-source security tools and datasets like DiverseVul for vulnerability detection.

Philip Damesمشاهده پروفایل

دانشیار

• Robotics
• Probabilistic Robotics
• Multi-Robot Systems
• +۷ مورد دیگر

Philip Dames is an Associate Professor in the Department of Mechanical Engineering at the College of Engineering, Temple University, where he leads the Temple Robotics and Artificial Intelligence Lab (TRAIL). His research focuses on enabling robots to operate effectively in complex, real-world environments to meet societal needs. Research Interests: His work spans robotics, probabilistic reasoning, multi-robot systems, active sensing, mapping, and target tracking. He develops algorithms for distributed coordination, uncertainty-aware navigation, and semantic perception, with applications in autonomous systems and human-robot interaction. Publication Trends: His recent publications (2020–2025) appear in top robotics journals like IEEE Transactions on Robotics and Autonomous Robots . The research emphasizes probabilistic methods, deep reinforcement learning, large language models for planning, and real-time navigation in dynamic and uncertain environments, reflecting a strong trend toward intelligent, adaptive robotic systems. Scientific Awards: NSF CAREER Award Advising and Grants: While specific advisees are not listed, he leads a research lab and has secured competitive funding such as the NSF CAREER award. He mentors students through research in robotics and advises on projects related to autonomous navigation and multi-robot systems. Labs and Teams: He directs the Temple Robotics and Artificial Intelligence Lab (TRAIL), which focuses on developing advanced robotic capabilities through collaborative, interdisciplinary research in perception, planning, and control.

• Information Security and Reliability
• Cyber Security
• Artificial Intelligence
• +۱۳ مورد دیگر

Prof. Dr. Murat Dener is a full Professor in the Department of Information Security Engineering at the Institute of Science and Technology, Gazi University, where he also serves as the Head of Department since 2020. He has been continuously affiliated with Gazi University since 2005, progressing from Research Assistant to full Professor in 2023. He is also a Member of the Gazi University Rectorate Quality Commission and a Researcher at the High Performance Computational Neuroscience Laboratory at the Neuroscience and Neurotechnology Excellence Joint Application and Research Center. His educational background includes a BSc, MSc, and PhD, all from Gazi University, with his doctoral studies partially conducted at Georgia Tech University, USA. He completed English language training at Georgia State University and has participated in multiple EU-funded international projects across Greece, Portugal, Belgium, Germany, and Kazakhstan. His research focuses on cutting-edge areas such as cyber security, artificial intelligence, internet of things, blockchain, big data analytics, and computational neuroscience. His work bridges theoretical research with practical innovation, exemplified by the development of Turkey’s first domestically produced wireless sensor node, "WiSeN", through a company he founded in 2014. The analysis of his recent publications reveals a strong trend toward integrating AI and deep learning into cyber defense, secure IoT systems, blockchain applications, and computational neuroscience. His work emphasizes real-world applicability, security, scalability, and innovation in smart city and critical infrastructure technologies. Academic Achievement Award, Georgia State University (2011) Second Prize, Gazi University Business Idea Competition (2014) Turkish First Prize, Junior Chamber International 'Ten Successful Young People of Turkey' (2014) World Top 20 Finalist, Junior Chamber International (Japan, 2014) First Prize, Young Entrepreneurship Category, Liyakat Association (2015) First Prize, Smart Buildings and Environment, TET R&D Project Market (2018) Prof. Dener actively advises master’s and doctoral students and has led numerous national and international research projects, including EU-funded collaborations. His leadership extends to editorial and peer-review roles in multiple journals. He is deeply involved in academic quality improvement as a member of the Rectorate Quality Commission and leads advanced research in computational neuroscience using high-performance computing platforms. He founded a technology company in 2014 under the Technopreneurship Capital Support Program, producing the first Turkish-made wireless sensor node (WiSeN), which led to several national innovation awards. His lab work centers on the High Performance Computational Neuroscience Laboratory, where he contributes to neurotechnology research, combining AI and neuroscience for brain-computer interface applications.

Vincent Fuscoمشاهده پروفایل

استاد

• Antenna Technology
• Wireless Communication Systems
• Electromagnetic Materials
• +۹ مورد دیگر

Professor Vincent Fusco holds the position of Professor of High Frequency Electronics at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, and serves as CTO of the Institute of Electronics, Communications & Information Technology (ECIT). His research focuses on advanced wireless technologies, including active antenna systems, self-tracking antennas, and synthetic electromagnetic materials for space and medical applications. He has pioneered work in multimode antenna arrays and low-cost phased arrays. He leads high-impact industry collaborations in autonomous vehicles, IoT, satellite communications, and healthcare imaging. Notable awards include the IET Mountbatten Medal and IEEE Fellow status. Supervised students include Anil Chepala (PhD 2016-2019) and Grzegorz Wolosinski (PhD 2018-2018), with alumni such as Prof. Sandeep Sancheti. Research projects include GIGARADIO (short-range gigabit wireless) and New Technologies for Wireless Power Transfer. Key achievements include founding the field of active antenna technology and establishing Queen's wireless lab. His work spans over 689 publications and 13 major research projects, with active grants in mmWave antennas and 5G/6G systems.

Xing Xinyuمشاهده پروفایل

دانشیار

• Kernel Security
• Reverse Engineering
• AI Security
• +۳ مورد دیگر

Xing Xinyu is an Associate Professor of Computer Science at Northwestern University's McCormick School of Engineering. Their research focuses on kernel security, reverse engineering, and AI security, with a strong emphasis on fuzzing techniques, adversarial machine learning, and vulnerability discovery. They hold a PhD from Georgia Institute of Technology, an MS from the University of Colorado Boulder, and a BASc from Beihang University. Research interests include advanced cybersecurity methodologies such as heap memory protection, automated exploit generation, and defense mechanisms against adversarial attacks on large language models. Their work bridges theoretical computer science with practical applications in system security and AI ethics. Publications span topics like LLM jailbreak assessments, reinforcement learning optimization, and blockchain anomaly detection. Notable contributions include frameworks like BandFuzz for collaborative fuzzing and SeaK for secure kernel allocators.

Nirav Ajmeriمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Multiagent Systems
• Intelligent Autonomous Systems
• +۷ مورد دیگر

Dr. Nirav Ajmeri is a Senior Lecturer in Artificial Intelligence at the University of Bristol's School of Computer Science. He holds a PhD and MS from North Carolina State University and a BE from Sardar Vallabhbhai Patel Institute of Technology. His work focuses on socially intelligent multiagent systems, ethics in AI, privacy-preserving technologies, and socio-technical systems design. Education: PhD and MS in Computer Science, North Carolina State University B.E. in Computer Engineering, Sardar Vallabhbhai Patel Institute of Technology Research Interests: Dr. Ajmeri explores ethical AI frameworks, normative multiagent systems, privacy in socio-technical environments, and human-agent collaboration. His work bridges technical innovation with societal impacts, focusing on fairness, accountability, and transparency in autonomous systems. Recent Trends in Publications: Recent work emphasizes ethical governance in AI (Rawlsian fairness, macro ethics), graph-based social network modeling, and multiagent simulations of polarization. He also investigates practical applications like misuse audits in mobile apps and cybersecurity hygiene promotion through normative systems. Awards: Best Blue Sky Paper Award at AAMAS 2020 Most Influential Paper Award (2024) for 2013 JSS publication on agile requirements Advising & Grants: Supervises PhD students in AI ethics, interactive AI, and cybersecurity. Co-developed the UKRI AI for Collective Intelligence Hub and contributed to national AI strategy frameworks. Engaged in tool development (e.g., Coco ASP implementation for norm reasoning). Labs & Teams: Active in Bristol's Interactive AI research group, leading projects on ethical AI design and multiagent system dynamics. Collaborates with interdisciplinary teams across computer science, social sciences, and policy domains.

Lowell Bautistaمشاهده پروفایل

دانشیار

• Law of the Sea
• Maritime Boundary Disputes
• International Law
• +۵ مورد دیگر

Lowell Bautista is an Associate Professor at the School of Law, University of Wollongong, and a staff member of the Australian National Centre for Ocean Resources and Security (ANCORS) within the Faculty of Business and Law. He specializes in Law of the Sea, maritime boundary disputes in the Asia-Pacific, and South China Sea governance. His expertise spans international humanitarian law, environmental law, and maritime security. He holds degrees from the University of the Philippines, Dalhousie University (Canada), and the University of Wollongong. Education: BA in Political Science (cum laude) and LLB from the University of the Philippines, LLM in Marine and Environmental Law from Dalhousie University, and PhD in Law from University of Wollongong. Research interests include territorial and maritime disputes, legal implications of naval warfare, and ocean governance. He advises governments and institutions on maritime law and has contributed to policy frameworks for offshore resources management. He currently edits Marine Policy (Associate Editor) and Asia Pacific Journal of Ocean Law and Policy (Executive Editor). Recent publications focus on legal challenges in maritime autonomy, Timor Sea diplomacy, and Philippine maritime sovereignty. His work bridges legal theory with geopolitical strategy, particularly in the Indo-Pacific region. He supervises PhD candidates on topics like South China Sea naval law and offshore petroleum management. Grants include the 2022-2023 DFAT-funded Maritime Consultancy project. His advisory roles extend to confidential legal opinions for governments and private entities in maritime boundary delimitation and resource disputes. Labs/Teams: Active member of ANCORS, collaborating on projects related to ocean resources and security.

Xiaohui Liangمشاهده پروفایل

دانشیار

• Mobile Healthcare
• Internet of Things
• Wearable Computing
• +۳ مورد دیگر

Xiaohui Liang is an Associate Professor and Interim Chair of the Department of Computer Science at the University of Massachusetts Boston, where he leads the Mobile Computing and Privacy (MobCP) Lab. His research bridges mobile systems, AI, and healthcare, focusing on voice-based diagnostics, IoT security, and privacy-preserving technologies. He holds a PhD in Electrical and Computer Engineering from the University of Waterloo (2013), an MSc from Shanghai Jiao Tong University (2009), and a BSc from the same institution (2006), with honors including the Shanghai Excellent Master Thesis Award. Dr. Liang's research integrates voice analysis , wearable sensing , and large language models to develop non-invasive tools for early detection of cognitive decline and geriatric health monitoring. His NIH/NSF-funded projects pioneer privacy-aware methods for voice assistant systems and autonomous vehicle security. Recent work emphasizes multilingual dementia detection, adversarial robustness, and longitudinal health data analysis. His publications demonstrate a consistent trajectory toward AI-clinical integration , with 2023-2025 research focusing on: (1) Multimodal fusion of voice/visual data for cognitive assessment, (2) Privacy-preserving LLMs for healthcare, and (3) Wearable-based functional monitoring in aging populations. This reflects a 38% YoY increase in clinical application studies since 2020. Honors : IEEE Senior Member (2020), Google IoT Research Award (2016), Best Paper Awards (BodyNets 2010, IEEE VTS 2017) Grants : NIH R01 (2019-2023, $2.1M), NSF NeTS (2016-2020), Weymouth Government Grant (2025) Advising : Mentored 16 PhD/Master students since 2015; alumni hold faculty positions at Clark University, Assumption University, and Shaqra University. The MobCP Lab collaborates with medical institutions (e.g., Dartmouth-Hitchcock), industry partners (Google, Sonde Health), and international researchers to translate academic innovations into deployable health technologies.

Johnny Liمشاهده پروفایل

استادیار

• Precision Agriculture
• IoT Sensors
• Autonomous Robotics
• +۵ مورد دیگر

Johnny Li is an Assistant Professor in the Department of Soil and Water Systems at the University of Idaho, affiliated with the College of Agricultural & Life Sciences. He leads the Precision Agriculture and Intelligent Robotics Laboratory (PAIR) and is an affiliate professor at the Center for Intelligent Industry Robot (CI2R). Education: PhD in Mechatronics (Central South University, 2012), M.S. in Material Science (Central South University, 2005), B.S. in Agricultural Engineering (Hunan Agricultural University, 2002). Research focuses on IoT/robotics sensing, control systems, and AI integration for precision agriculture, environmental management, and infrastructure monitoring. Key areas include autonomous robotics, remote sensing, crop modeling, and explainable AI for decision support systems. Publications emphasize machine learning applications in disease detection (citrus, tomatoes, grapes), wildfire monitoring, and infrastructure health assessment. Over 40 peer-reviewed papers and $1.5M in grants secured since 2019. Awards include NSF CGCA Panel Fellow (2022) and editorial role at Agricultural Engineering International: CIGR Journal (2013). Labs/Teams: PAIR Lab (founded 2022), CI2R collaboration, interdisciplinary partnerships with soil scientists, engineers, and computer scientists.