جست‌وجوی استاد و پژوهشگر

• Control Engineering
• Machine Learning
• Energy Systems
• +۶ مورد دیگر

Meng Yuan is a Marie Skłodowska-Curie Fellow at Chalmers University of Technology , affiliated with the Control Engineering department. Previously, he was a Research Fellow at the Rehabilitation Research Institute of Singapore, Nanyang Technological University, and earned his PhD in Electrical and Electronic Engineering from the University of Melbourne. Research Focus: Control theory, energy systems, rehabilitation engineering, robotics, and industrial automation. Notable Projects: Integration of reinforcement learning and predictive control for energy management in smart homes (SmartHOME), funded by the European Commission (EU). His recent publications explore machine learning for industrial load forecasting, deep reinforcement learning in manufacturing optimization, and safety-critical control systems for assistive robots. A 2024 Advanced Engineering Informatics paper highlights his work on steel logistics, while a 2023 IEEE Transactions on Cybernetics article details wheelchair speed control using robust MPC. Awards: Marie Skłodowska-Curie Fellowship Collaborative Networks: Active in smart home energy projects and industrial robotics teams at Chalmers. Supervises research in control algorithm development but no specific students are listed in the provided data.

Dong Chenمشاهده پروفایل

دانشیار

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

Chrysanthos Maraveasمشاهده پروفایل

استادیار

• Agricultural Engineering
• Sustainable Materials
• Artificial Intelligence Applications
• +۵ مورد دیگر

Chrysanthos Maraveas is an Assistant Professor at the Department of Technology and Natural Resources Management & Agricultural Engineering in the School of Environment and Agricultural Engineering at the Agricultural University of Athens since 2022. He earned his PhD in Structural Engineering from the University of Manchester and has held postdoctoral research positions at the University of Liège (EU-funded) and the University of Patras (Greek Ministry of Development-funded). Research Interests : Applications of AI and quantum computing in agriculture Sustainable materials and biodegradable polymers from agricultural waste Internet of Things (IoT) for greenhouse optimization Structural durability and corrosion resistance in agricultural environments Plastic waste management in agrifood systems 4D printing for sustainable agricultural plastics Scientific Recognition : Ranked in the top 2% of scientists worldwide by Stanford University (based on citations and h-index) Publications focus on: Cybersecurity in Agriculture 4.0/5.0 Smart sensors and edge computing for resource management Biopolymer innovations and nanotechnology Structural analysis of agricultural systems Sustainable construction materials from agro-waste Fire resistance in steel and composite structures

• Wireless Networks
• Internet of Things
• Network Protocols
• +۲ مورد دیگر

Wanqing Tu is an Associate Professor in Computer Science at Durham University, specializing in wireless networks and IoT systems. She serves as Editor for IEEE Internet of Things Journal and holds leadership positions in IEEE technical committees. Her research explores next-generation wireless technologies with focus areas including: Reconfigurable intelligent surfaces IoT security frameworks Multihop UAV networking Wireless protocol optimization Edge computing architectures Recent publications address critical challenges in IoT security and wireless performance optimization, particularly examining jamming detection methods and efficient resource utilization strategies. This work combines theoretical modeling with practical system implementations. Tu teaches advanced networking courses and supervises doctoral candidates in wireless communication systems. She leads international collaborations through IEEE initiatives and has organized technical committees for major conferences including IEEE MetaCom.

• Network Architecture
• Software Defined Networking
• Internet of Things Security
• +۷ مورد دیگر

Professor Vijay Sivaraman is a distinguished academic at the University of New South Wales, where he serves as Professor in the School of Electrical Engineering and Telecommunications within the Faculty of Engineering. With extensive experience in network research, he leads significant projects in network architecture, security, and performance optimization. His educational background includes a PhD in Computer Science from UCLA (2000), an MSc in Computer Science from North Carolina State University (1996), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi (1994). Professor Sivaraman's research focuses on making communication networks like the Internet more efficient and effective. He develops network architectures and algorithms for improving delivery of services such as video streaming and gaming, with particular expertise in scalable architectures and protocols for optical, wireless, and sensor networks. His work bridges theoretical foundations with practical applications to solve real-world networking challenges. His recent publications demonstrate a strong trend toward network security, particularly in IoT environments, Software Defined Networking applications, and enterprise network monitoring. A significant portion of his work addresses security challenges in the Internet of Things, DNS security, and metaverse network requirements, showing his ability to anticipate and address emerging networking challenges. Awarded the Chorafas Foundation Award in 2000, Professor Sivaraman has secured substantial research funding including an ARC Discovery Project ($405K for 2014-2017) on interactive and scalable media over software defined networks, and a Google Research Award ($63K for 2013) on virtualizing access networks using SDN. He currently supervises 6 students in his lab, with 10 students having already graduated under his guidance. His research group actively works on projects related to Software Defined Networking, security mechanisms for networked IoT devices, and improving Internet service quality using data analytics and artificial intelligence. Professor Sivaraman leads a dynamic research laboratory focusing on network technologies, with particular emphasis on creating practical solutions for real-world networking problems through the integration of theoretical research and hands-on experimentation.

• Optical Networking
• Artificial Intelligence in Networking
• 5G and 6G Networks
• +۹ مورد دیگر

Davide Careglio is a Professor at the Department of Computer Architecture, Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is a principal researcher in the CBA - Broadband Communication Systems and Architectures group and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. Academic Rank: Professor Department: Department of Computer Architecture School: Faculty of Computer Science of Barcelona University: Universitat Politècnica de Catalunya Email: davide.careglio@upc.edu His research focuses on next-generation networking technologies, particularly in the domains of 5G/6G, AI-driven network automation, optical and elastic networks, energy efficiency, and the Recursive Internetwork Architecture (RINA). His work integrates machine learning and artificial intelligence to enhance network performance, security, and sustainability. He has made significant contributions to multicast routing, QoS assurance in RINA networks, and delay modeling in multidomain environments. The recent publications highlight a strong trend toward integrating AI and machine learning into network control, particularly for 6G services and secure distributed AI. His work spans modeling, simulation, and real-world experimentation, with applications in smart buildings, vehicular networks, and telecom infrastructure. Key themes include latency estimation, energy optimization, network programmability, and time-sensitive networking. Davide Careglio has been involved in prestigious EU-funded projects such as HORIZON 2020 and HORIZON EUROPE, including initiatives like ALLIANCE, SUNSET, and PRADIOT. He has also contributed to the Erasmus+ HEDY project, focusing on AI in education. He has advised PhD students, including D. Sembroiz, whose thesis focused on smart building IoT platforms. He actively collaborates with leading researchers such as Luis Velasco, Josep Solé-Pareta, and Salvatore Spadaro. He serves on the scientific committees of major conferences including IEEE GLOBECOM, IEEE ICC, and ICTON. He is a member of the CBA and IDEAI-UPC research groups at UPC, which are at the forefront of innovation in optical networking, AI for networks, and sustainable telecom infrastructures. These groups lead projects in programmable, knowledge-defined, and self-managed networks.

• Distributed Systems
• Embedded Systems
• Real-Time Systems
• +۳ مورد دیگر

Brian Nielsen is an Associate Professor at Aalborg University's Department of Computer Science, under The Technical Faculty of IT and Design. His research focuses on Distributed Systems, Embedded Systems, Real-Time Systems, Model Checking, IoT Networks, and Autonomous Vehicles. He has been actively involved in projects such as domOS (operating system for smart buildings), FED (Flexible Energy Denmark), and compositional verification of multicore avionics systems. His work emphasizes model-based validation, formal methods, and industrial applications, particularly in safety-critical systems. Recent research highlights include energy-efficient motion planning for autonomous vehicles, comparative analysis of network simulators, and sigfox-based IoT modeling. He has received awards including the Application Coordinator Pool and START funds (both in 2007). Key Projects: domOS, FED, compositional verification of multicore systems Grants: Multiple EU-funded projects (e.g., Horizon Europe) and industry collaborations Awards: Application Coordinator Pool (2007), START funds (2007) His publications span over 80 articles, with a focus on real-time systems, IoT interoperability, and model-driven development. He has advised two PhD students and has been actively involved in organizing international conferences and workshops.

Lixia Zhangمشاهده پروفایل

استاد

• Internet Architecture Design
• Network Protocol Design
• Named Data Networking (NDN)
• +۵ مورد دیگر

Lixia Zhang is a Professor at the Computer Science Department of University of California, Los Angeles (UCLA) . She leads the Internet Research Lab (IRL) and has been a key figure in the Named Data Networking (NDN) project since 2010, building on Van Jacobson's Content-Centric Networking (CCNx) vision. Education : PhD from MIT (TCP/IP research), advised by Dr. David Clark Experience : Xerox PARC (7 years), currently at UCLA since 1998 Labs : Director of Internet Research Lab (IRL) at UCLA Her research focuses on Internet architecture design , NDN protocol development , and network security . She has published extensively on topics like DDoS defense patterns , LEO satellite networking , and decentralization frameworks . Her work spans applications in mHealth data sharing , edge computing , and augmented reality . Recent publications show trends in NDN scalability , secure communication , and decentralized internet infrastructure , with 15 most recent articles covering LEO satellite networks , metaverse security , scientific data distribution , and stateful forwarding mechanisms . Scientific Awards : PAM 2010 Best Paper Award Best Poster Award at ACM ICN 2018 Grants & Leadership : Recipient of Cisco Systems grant (2022) for satellite networking research, co-chair of IRTF Decentralized Internet Infrastructure Research Group (2021), and organizer of multiple NDN Community Meetings and Hackathons . Her lab has produced notable alumni including Mohit Lad (co-founder of ThousandEyes) and Lucas Wang .

Mizan Rahmanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Autonomous Vehicles
• Cyber Security
• +۱۱ مورد دیگر

Mizan Rahman is an Assistant Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama's College of Engineering. He serves as the Director of the Connected and Automated Mobility Laboratory (CAM Lab) at UA, leading research in cutting-edge transportation technologies. His work bridges civil engineering with computer science, focusing on the intersection of physical infrastructure and digital systems. Dr. Rahman's educational background includes: B.S. in Civil Engineering from Bangladesh University of Engineering and Technology (2008) M.S. in Civil Engineering from Clemson University (2013) Ph.D. in Civil Engineering from Clemson University (2018) His research interests span artificial intelligence, machine learning, cybersecurity, and digital twins applied to transportation systems. Dr. Rahman takes an interdisciplinary approach to solving evolving mobility challenges, with particular focus on connected and automated transportation systems for smart cities. His work addresses critical issues in AI-based predictive analytics, cybersecurity and privacy for connected mobility, driver behavior modeling, heterogeneous wireless communication, and transportation cyber-physical systems. Analysis of Dr. Rahman's recent publications reveals a strong emphasis on digital twin technology for traffic management, cybersecurity for autonomous vehicles (particularly GNSS spoofing detection), and connected vehicle applications. His work demonstrates a clear trajectory toward creating safer, more efficient transportation systems through the integration of advanced computing technologies with traditional civil infrastructure. The research spans theoretical development, numerical validation, and real-world experimental implementation. Dr. Rahman has received significant recognition for his work: NSF CAREER Award (2024) IEEE George N. Saridis Best Transactions Paper Award (2020) U.S. Department of Transportation Dwight D. Eisenhower Doctoral Fellowship (2013-2014) U.S. Department of Transportation Dwight D. Eisenhower Master's Fellowship (2012-2013) He has secured multiple federally funded projects from the National Science Foundation (NSF), the U.S. Department of Transportation (USDOT), and the Federal Motor Carrier Safety Administration (FMCSA). His research has practical applications in developing low-cost solutions for self-driving cars to detect GPS hacking and improve overall transportation safety. Dr. Rahman actively collaborates across disciplines, taking advantage of UA's cybersecurity program in the computer science department to advance research in connected and automated transportation systems. As director of the CAM Lab, Dr. Rahman leads a team working at the forefront of transportation innovation, with a vision to build smart transportation systems that enhance quality of life and contribute to economic prosperity. His work is particularly relevant as cities become increasingly connected and automated, moving toward the reality of smart cities.

Christos Antonopoulosمشاهده پروفایل

دانشیار

• Wireless Networks
• Network Communication Protocols
• Embedded Software
• +۶ مورد دیگر

Dr. Christos Antonopoulos is an Associate Professor at the Department of Electrical and Computer Engineering, University of Patras. He holds a Diploma and PhD in Electrical Engineering from the University of Patras (2002, 2008) and has participated in over 16 European research projects (FP5, FP6, FP7, Horizon 2020) and 6 national projects. Research Interests: Wireless Networks Cyberphysical Systems Embedded Software Architecture Internet of Things Cross-Layer Protocols Sensor Networks Technical Expertise: His work involves network simulation, power optimization, and reconfigurable computing. He has published >100 journal/conference papers and 13 book chapters with over 1000 citations.

Thomas Littleمشاهده پروفایل

استاد

• Smart and Connected Systems
• Visible Light Positioning
• Mobile and Vehicular Ad Hoc Networks (MANETs)
• +۲ مورد دیگر

Thomas Little is a Professor in the Department of Electrical & Computer Engineering and Systems Engineering at Boston University, serving as the Associate Dean of Educational Initiatives. He holds a PhD from Syracuse University (1991) and leads the Multimedia Communications Laboratory. His research focuses on smart systems, visible light positioning, MANETs, pervasive computing, and optical wireless communications. Key honors include the Kern Faculty Fellow, NSF CAREER Award, and Senior Member of IEEE. His teaching spans courses like EC444 (Smart Systems) and EC744 (Mobile Ad Hoc Networking). He is affiliated with the Center for Information and Systems Engineering and Clean Energy Sustainability Initiative. Recent publications emphasize optical wireless networks, interference mitigation, and 3D localization. Over 150 articles showcase advancements in VLC systems, hybrid RF/VLC networks, and smart lighting integration with 5G frameworks. His work bridges communication technologies and environmental sustainability.

Branden Ghenaمشاهده پروفایل

استادیار

• Embedded Systems
• Networking Protocols
• Internet of Things
• +۳ مورد دیگر

Branden Ghena is an Assistant Professor of Instruction in the Department of Computer Science at Northwestern University, part of the McCormick School of Engineering. His research focuses on embedded systems, networking protocols for IoT, and operating systems, particularly through the Tock project. He holds a PhD in Electrical Engineering and Computer Science from UC Berkeley (2020), an MSE in Computer Science and Engineering from the University of Michigan (2017), and a BS in Computer Engineering and Electrical Engineering from Michigan Technological University (2013). His research interests include resource-constrained embedded hardware/software, wireless protocols like Bluetooth Low Energy, LoRaWAN, and LTE-M, and energy-harvesting platforms such as Signpost and PowerBlade. He emphasizes open-source contributions and practical embedded systems education. Teaching includes courses like CS211 (C/C++), CS213 (Computer Systems), CS343 (Operating Systems), CE346/CS346 (Microcontroller Design), and CS433 (Wireless IoT Protocols). He has received notable awards, including the 2022 Cole-Higgins Excellence in Teaching Award and the Instructor of the Year award. His teaching philosophy centers on bridging theory to real-world engineering challenges. Awards : Cole-Higgins Award for Excellence in Teaching (2022) Instructor of the Year (2022) Outstanding Graduate Student Instructor (UC Berkeley, 2018) NSF Graduate Research Fellowship (2014–2017) Labs/Teams : Principal contributor to Tock OS, an open-source embedded OS Signpost platform for city-scale sensing Design of PowerBlade energy meters and Buckler development boards His advising includes supporting undergraduate research, with several students proceeding to PhD programs. He has also contributed to curriculum design, including redesigning labs for embedded systems courses using modern tools like Git, Make, and Rust. Branden actively participates in academic service roles, such as faculty search committees and workshop program committees.

Michalis Michaelidesمشاهده پروفایل

استادیار

• Communication Systems
• Wireless Sensor Networks
• Environmental Monitoring
• +۶ مورد دیگر

Michalis Michaelides is an Assistant Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at the Cyprus University of Technology , where he has held a tenure-track position since 2012. He holds a PhD in Electrical Engineering from the University of Cyprus (2009), and earlier degrees from Purdue University (MSEE, 1998; BSEE, 1997). His research focuses on communication systems, wireless sensor networks, environmental monitoring, and computational intelligence applications in maritime logistics and smart infrastructure. He received the Elsevier Building and Environment Journal Best Paper Award in 2014. His work spans smart port operations , IoT integration , and data-driven environmental modeling . Recent publications address berth allocation optimization, vessel arrival prediction, CO2-based virus transmission risk analysis, and AI-driven maritime terminal management. His interdisciplinary approach combines signal processing, optimization algorithms, and sensor networks to solve challenges in transportation, environmental sustainability, and public health. Education: PhD in Electrical Engineering, University of Cyprus (2009) MSEE, Purdue University (1998) BSEE, Purdue University (1997) Awards: Elsevier Building and Environment Journal Best Paper Award (2014) His research group collaborates on projects like intelligent irrigation systems and coastal eutrophication analysis , leveraging computational intelligence for real-world applications. Ongoing work emphasizes port efficiency, sensor network reliability, and decision support systems for maritime logistics.

Cristina Stângaciuمشاهده پروفایل

مدرس

• Embedded Systems
• Real-Time Systems
• Energy Management
• +۴ مورد دیگر

Cristina Stângaciu is a Lecturer at the Department of Computer and Information Technology, Politehnica University of Timisoara. Her research focuses on embedded systems, real-time systems, IoT, and energy-efficient computing. She has contributed to mixed criticality task scheduling and wireless sensor networks. PhD in Real-Time Systems (2015) Scientific Secretary of Department Involvement in projects: Bright Cityscapes - Synthia, CloudPUTing, TEEFIOS Her research interests span real-time task scheduling, embedded operating systems, and smart sensing systems. Recent work explores IoT security and multicore scheduling techniques. Key article trends include real-time scheduling frameworks, IoT protocol optimization, and energy-efficient embedded systems. Topics like lightweight cryptography and CAN FD improvements are prominent in her 2024-2025 publications. Merit Diplomas (2021, 2022) Merit Awards 2025 As advisor to PhD students, she contributes to advancements in real-time systems through grants and collaborative projects like SCMUPT 2025. Her work integrates practical and theoretical aspects of sensor networks and cloud platforms.

Raif BAYIRمشاهده پروفایل

استاد

• Robotics
• Hybrid and Electric Vehicles
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Dr. Raif Bayır is a Turkish academic at Karabük University's College of Engineering, Department of Mechatronics Engineering. With a career spanning 2000-2024, he has held continuous full-time faculty positions from Assistant Professor to Professor. His research focuses on Robotics, Hybrid/Electric Vehicles, and Artificial Intelligence. Doctorate: Gazi University (2005) - Electronics & Computer Education Postgraduate: Gazi University (1998) - Electronics & Computer Education Undergraduate: Gazi University (1995) - Electronics & Computer Education His work integrates Artificial Intelligence techniques into Electric Vehicle systems, Robotics, and Agricultural Engineering applications. Recent publications emphasize Deep Learning for Mask Detection, Real-Time Battery Monitoring, and Autonomous Navigation Systems. Scientific awards include: 2017 METU Line-Following Robot 1st Prize 2016 TÜBİTAK Domestic Product Award 2015 TÜBİTAK Electromobil Best Design Prize He has advised over 20 graduate theses on topics spanning Electric Vehicle Components, Beehive Monitoring Systems, and Intelligent Control Applications. His research teams have developed multiple TÜBİTAK-supported projects including Automotive Test Stands and Battery Management Systems.