جستجوی استاد راهنمای دانشگاهی

• Sensor Networks
• Pervasive Computing
• Middleware
• +۵ مورد دیگر

Sanem Kabadayı is an Assistant Professor at the Department of Computer Engineering, Istanbul Technical University. Her research focuses on sensor networks, middleware frameworks, and pervasive computing. Research Interests Sensor Networks (Wireless, Ad-hoc, Heterogeneous) Pervasive and Ubiquitous Computing Middleware Design for Smart Environments Data Abstraction and Communication Paradigms Advisory Role Advisor for Yakup Kayatas' thesis on AI-assisted IoT agents for smart spaces (2025). Recent Research Trends Her 15 most recent publications (2006–2024) emphasize sensor network architectures, middleware innovations for programmable environments, and abstractions for heterogeneous sensor integration. Key themes include AI-driven IoT agents, positioning techniques in wireless networks, and virtual sensor frameworks.

Hua Huangمشاهده پروفایل

استادیار

• Sensor Systems
• Wireless Networks
• Ubiquitous Computing
• +۲ مورد دیگر

Hua Huang is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced. He holds a Ph.D. in Computer Engineering from Stony Brook University (2020), an M.S. in Computer and Information Sciences from Temple University (2014), and a B.E. in Electronic and Information Engineering from Huazhong University of Science and Technology (2012). Ph.D. in Computer Engineering, 2020 — Stony Brook University, New York M.S. in Computer and Information Sciences, 2014 — Temple University, Pennsylvania B.E. in Electronic and Information Engineering, 2012 — Huazhong University of Science and Technology, Wuhan, China Hua Huang's research focuses on sensor systems, wireless networks, ubiquitous computing, and smart healthcare. His work bridges theoretical and practical challenges in mobile computing, emphasizing real-world applications like device-free intrusion detection, driving safety monitoring, and healthcare wearables. His publications span key conferences and journals such as ACM MobiCom, IEEE ICCPS, ACM Transactions on Sensor Networks, and INFOCOM, with a notable Best Paper Runner-Up award at ACM MSWiM 2018. Themes include wireless sensor optimization, deep learning applications, and mobility-aware infrastructure design. Scientific Awards Best paper runner-up at ACM MSWiM 2018 Research Collaborations Collaborated with prominent researchers like Shan Lin, Fei Miao, and Tian He Advising Seeks self-motivated students with backgrounds in wireless systems and signal processing Labs & Teams Leads a research group at UC Merced focusing on wireless and ubiquitous systems

• Wireless Sensor Networks
• Cyber-Physical Systems
• Network Protocols
• +۳ مورد دیگر

John Harrison Kurunathan is an Integrated PhD Researcher affiliated with the CISTER Research Centre at the University of Porto, Portugal. He holds a PhD in Electrical and Computer Engineering (2021), a Master's in Very Large-Scale Integration (2014), and a Bachelor's in Electronics and Communication (2012). Education: PhD (2021) - University of Porto, Portugal MSc (2014) - SSN College of Engineering, Anna University BSc (2012) - SRM University His research focuses on Wireless Sensor Networks (WSNs) , Cyber-Physical Systems (CPS) , and Automotive Networks , with an emphasis on Quality-of-Service (QoS) optimization, secure communication, and vehicular platooning. Notable projects include SafeCOP for safety-related CO-CPS and work on IEEE 802.15.4e DSME networks. Recent publications (2023-2025) span areas like Visible Light Communication , Vehicular Security , and Machine Learning in UAV Operations , reflecting his interdisciplinary work bridging embedded systems and transportation technologies. Scientific Awards: Best oral communication Award (in ex aequo) at DCE 2019 Reviewing Roles: Conference: ICCPS, EWSN, MSN, RTN Journal: IEEE ACCESS, IEEE Transactions on Vehicular Technology, ACM Sigbed Harrison is actively involved in workshops and conferences, including chairing roles at WIN-WIN-4S 2024 and technical demonstrations at WoWMoM 2023. His work appears in venues like IEEE Transactions on ITS, IEEE COMST, and PDP 2025.

• 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.

• Cybersecurity
• Wireless Communication
• Network Security
• +۷ مورد دیگر

Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.

Narges Arastoueiمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Network Security
• Wireless Communications
• +۶ مورد دیگر

Dr. Narges Arastouei serves as a postdoctoral researcher at the Chair of Mobile Business & Multilateral Security, Goethe University Frankfurt since 2019. With over 12 years of industry experience including leadership of security operations at Iran's largest mobile provider (MCI), she specializes in cybersecurity for next-generation mobile networks and critical infrastructure protection. Her educational background includes: Ph.D. in Computer System Networking and Telecommunications from Amirkabir University of Technology (AUT), Tehran Research focuses on network security, 5G/6G communications, IoT security, and Security Operations Center (SOC) frameworks. Current work bridges theoretical networking with practical incident handling, emphasizing human factors in cybersecurity and privacy-preserving healthcare applications. Her projects address evolving threats in mobile ecosystems through both technical solutions and policy frameworks. Publication trends reveal progression from foundational work in opportunistic network routing (2013-2019) to cutting-edge 6G security research (2022-2025), with consistent emphasis on real-world implementation challenges. Key themes include risk-aware protocols, botnet detection, and secure healthcare systems. Scientific recognition includes: First-place doctoral student award She leads coordination of EU-funded CyberSec4Europe and CyberSecPro projects while spearheading human factor components in the ECCO initiative. Secured Goethe-Corona-Fonds grant funding for longitudinal study on Germany's Corona Warning App adoption. Hosts the SECMGT workshop on information security management since 2023. Active within Goethe University's security research ecosystem, she contributes to multilateral security frameworks and mentors junior researchers through student assistant programs.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.

Akos Ledecziمشاهده پروفایل

استاد

• Computer Science Education
• Wireless Sensor Networks
• Model Integrated Computing
• +۳ مورد دیگر

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).

Hakima CHAOUCHIمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Networks
• Mobile Computing
• +۵ مورد دیگر

Professor Hakima CHAOUCHI is affiliated with Telecom SudParis, part of the NeSS group. Her primary research focuses on Internet of Things (IoT), wireless networks, RFID technology, and cyber-physical systems. She has contributed extensively to advancements in IoT infrastructure, localization techniques, and network security. Research interests include IoT architecture, RFID-enabled systems, distributed edge computing, and energy-efficient protocols. Her work spans topics like anomaly detection in IoT data, resilient cyber-physical systems, and resource allocation in 5G networks. Key contributions include the PrIoT project for IoT prototyping, studies on dynamic resource allocation in HetNets, and frameworks for mobile cloud computing privacy. She has authored multiple books and book chapters on IoT and wireless networks, including The Internet of Things: Connecting Objects to the Web . Her publications emphasize practical applications like industrial autonomous systems, vehicular networks, and edge AI integration. She collaborates actively with industry and academia, contributing to standards like MIH-IEEE 802.21 and security protocols for mobile networks.

Furat Al-Obaidyمشاهده پروفایل

مدرس

• Machine Learning
• Intelligent Systems
• VLSI Circuits
• +۷ مورد دیگر

Furat Al-Obaidy is a Lecturer in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His expertise spans machine learning, intelligent systems, VLSI circuits, multi-core systems, FPGA architecture, and deep learning applications. PhD in Electrical & Computer Engineering from Ryerson University (2021) MSc in Electrical & Computer Engineering from Ryerson University (2016) MSc in Control & Instrumentation Engineering from University of Technology, Baghdad (1999) BSc in Control & Systems Engineering from University of Technology, Baghdad (1996) His research focuses on power-aware computing systems, thermal imaging for IC testing, hybrid cache architectures, and AI-driven network optimization. He has published extensively on topics including GPGPU power management, 3D NoC routing, and wireless sensor networks. His recent publications highlight applications of neural networks in cache optimization, FPGA architecture, and thermal imaging for hardware diagnostics. Earlier work includes control system simulations for wind turbines and power factor analysis in electrical circuits. Ryerson Graduate Development Award (2021) Ontario Graduate Scholarship Award (OGS) (2020) Ryerson Graduate Fellowship (2018) Graduate Research Excellence Award (2017) Queen Elizabeth II Graduate Scholarship in Science and Technology (2017)

Konstantinos G. Arvanitisمشاهده پروفایل

استاد

• Electrification
• Automation
• Digitalization in Agriculture
• +۲۳ مورد دیگر

Konstantinos G. Arvanitis is a Professor in the Department of Natural Resources Management & Agricultural Engineering at the Agricultural University of Athens, affiliated with the Agricultural Engineering Laboratory. He holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens and has held diverse research and teaching roles across Greek institutions. Teaches courses on electrical engineering, sensors, automation, and AI in agriculture Supervised 2 PhD, 9 MSc theses, and guides 6 ongoing PhD projects Member of FEANI, EurAgEng, and IFAC Technical Committee (2000-2017) His research integrates IoT, machine learning, and cyber-physical systems into agricultural practices, focusing on precision agriculture and sustainability. He contributes to editorial boards of journals like Sensors and Energy , and has published over 342 technical works with significant citation metrics. His recent work explores quantum technologies, edge computing, and 3D printing in agricultural systems, emphasizing energy efficiency and educational innovation. He actively reviews for 130+ journals and conferences.

• Internet of Things (IoT)
• Fog Computing
• Edge Computing
• +۱۶ مورد دیگر

Amir Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, and mobility in distributed systems for emerging technologies like IoT, Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). University: University of Oslo Department: Informatics Academic Rank: Professor His research spans IoT, Edge/Fog Computing, and Cyber-Physical Systems, emphasizing energy efficiency, privacy preservation, and self-adaptive architectures. Key areas include network traffic classification, computation offloading, and federated learning applications in vehicular systems. Recent publications highlight advances in latency-aware IoT data transmission , federated vehicular networks , energy-efficient wireless charging , and privacy-preserving data integration . These works often integrate machine learning with network optimization. Projects include the CPS Lab at UiO, DILUTE (Fluid Service Abstraction), and the Gemini Centre on IoT . He collaborates on initiatives like PACE for energy informatics curricula development.

Andrei Gurtovمشاهده پروفایل

استاد

• Network Security
• Cybersecurity
• Wireless Networks
• +۸ مورد دیگر

Professor Andrei Gurtov is a Full Professor at the Department of Computer and Information Science (IDA) at Linköping University (LiU). He holds adjunct professorships at Aalto University, University of Oulu, and University of Helsinki. His research focuses on network security, industrial internet, 5G/6G technologies, and cybersecurity in transport systems. He leads the AEGIS research group and is part of the Wallenberg AI, Autonomous Systems, and Software Program (WASP). Education: M.Sc. (University of Helsinki, 2000), Ph.D. (University of Helsinki/ICSI Berkeley, 2004). He has served as Head of the Secure Systems educational profile at IDA and on LiU's Departmental Board. His academic roles include IEEE Sweden Chair and Board member. Research highlights include work on secure drone communication (IETF DRIP), 6G security whitepapers, and cybersecurity for aviation systems. He has authored over 20 books and 264 publications, with notable works in IEEE and ACM journals. Awards include ACM Distinguished Scientist (2015), IEEE Distinguished Lecturer (2016-2019), and recognition in top 2% of global scientists (Stanford University). Teaching responsibilities include courses on computer networks and information security. He advises over 30 PhD students and leads projects on cyber-resilient air traffic management (SEC-AIRSPACE) and secure autonomous systems (DYNACON).

• Combinatorial Optimization
• Natural Language Processing
• Wireless Communication
• +۴ مورد دیگر

Dr. Meghana Navnath Satpute is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at Dallas, affiliated with the Erik Jonsson School of Engineering and Computer Science. She holds a PhD in Computer Science and has been actively contributing to research in algorithmic applications for natural language processing and wireless communication systems since 2019. Her research focuses on combinatorial optimization , particularly in solving complex problems in natural language processing and wireless network efficiency . Key areas include multidocument summarization, edge computing task allocation, and UAV trajectory planning for sensor data collection. These efforts reflect a strong interdisciplinary approach combining theoretical algorithms with real-world system design. The recent publications demonstrate a consistent trend in applying attention-based models and fine-grained optimization techniques across diverse domains such as NLP and IoT-enabled aerial networks. Her work bridges algorithm development with practical deployment challenges in distributed and mobile computing environments. Scientific Awards: No awards listed in the provided text. Dr. Satpute is involved in academic instruction and research supervision, though specific details about graduate student advising or funded grants are not mentioned in the available information. Her role emphasizes both teaching and research within the computer science curriculum at UTD. She is associated with ongoing research in intelligent systems and optimization algorithms, likely contributing to collaborative projects within the Erik Jonsson School of Engineering and Computer Science, particularly in areas related to data science, networking, and autonomous systems.

Yaser Al Mtawaمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Sensor Networks (WSNs)
• Cyber-Physical Systems
• +۸ مورد دیگر

Dr. Yaser Al Mtawa is a faculty member with a focus on the Internet of Things (IoT), Wireless Sensor Networks, Cyber-Physical Systems, and Network Security. His research spans Smart Home Security, SDN-based Networking, Reliability, and Quality of Service (QoS). Education: PhD in Computer Science from Queen's University, Canada Research Interests: Dr. Al Mtawa investigates IoT and its intersections with AI/Machine Learning, Autonomous Networks, and Traffic Engineering. His work optimizes network reliability, security, and efficiency using advanced computational methods. Publication Trends: Recent articles focus on SDN optimization, anomaly detection, federated learning security, and IoT applications in agriculture. Keywords include Machine Learning, Network Reliability, and Wireless Technologies. Teaching: He teaches courses such as Operations Research in Computer Science , Wireless Networking Paradigms , and Advanced Internet Programming , emphasizing learner-centered environments and practical applications. Research Team: Supervises current MSc students (MD Imtiaz Ahmed, Sayed Saminur Rahman, Tanvir Ornob) and past students (Mohammadreza Khorramfar, Arnold Brendan Osei), fostering interdisciplinary collaboration in IoT and network security.