جست‌وجوی استاد و پژوهشگر

• Network Optimization
• Quantum Communication
• Machine Learning
• +۶ مورد دیگر

Dr. Avishek Nag is an Assistant Professor in the School of Computer Science at University College Dublin, Ireland. His work focuses on network optimization, quantum communication, machine learning, and 6G technologies. He holds a PhD from the University of California, Davis, and has over 100 publications in journals, conferences, and book chapters. Education: B.E. (Honours) in Computer Science from Jadavpur University (2005) M.Tech. from Indian Institute of Technology Kharagpur (2007) Ph.D. in Computer Science from University of California, Davis (2012) Research Interests: Quantum Networks & Key Distribution (QKD) 6G Networks & Explainable AI IoT Security & Edge Computing Optical Network Optimization Machine Learning for Biometrics & Healthcare Recent Publications: Recent work includes hybrid noise modeling for quantum satellite communication, XAI-driven network slicing for 6G, and ECG-based biometric systems. His research bridges theoretical advancements with practical implementations in telecommunications and cybersecurity. Awards: 2008 IEEE Advanced Networks Best Paper Award Grants & Leadership: Outreach Lead for IEEE UK & Ireland Blockchain Group Coordinated Cross-Atlantic EU-US testbed experiments Teaching: Teaches Distributed Systems, Wireless Communications, and Software Engineering at UCD.

• Wireless Communication Systems
• Signal Processing
• Network Security
• +۳ مورد دیگر

Mustafa Matalgah is a Professor of Electrical and Computer Engineering at the University of Mississippi. He holds a B.S. from Yarmouk University (1987), an M.S. from Jordan University of Science and Technology (1990), and a Ph.D. from the University of Missouri-Columbia (1996). His research focuses on wireless communication systems, signal processing, and network security with a particular emphasis on UAV networks, fading channel analysis, and cooperative diversity techniques. Professor Matalgah has published extensively in top-tier journals and conferences, contributing to advancements in aviation communication systems, encryption algorithms for IoT, and relay-based cooperative networks. His work spans theoretical analysis of channel models, practical implementations of communication protocols, and real-time data transmission systems. Education: B.S. Electrical Engineering, Yarmouk University (1987) M.S. Electrical Engineering, Jordan University of Science and Technology (1990) Ph.D. Electrical Engineering, University of Missouri-Columbia (1996) Research Interests: Professor Matalgah’s research explores cutting-edge topics in wireless communication, including UAV networks, machine learning for drone activity classification, and robust encryption methods for IoT devices. He investigates the impact of fading channels on signal performance and develops protocols to enhance reliability in cooperative relay systems. His work often bridges theoretical models (e.g., outage probability analysis) with practical implementations (e.g., real-time flight data recorders). Advancing Communication Technologies: His articles highlight contributions to aviation safety through ground-based aircraft recorders, satellite data transfer optimization, and VHF digital link design. He also addresses challenges in mobile networks, such as enhancing throughput in V2X (vehicle-to-everything) systems and improving error performance in cryptographic transmissions over noisy channels.

Ojodomo Achaduمشاهده پروفایل

مدرس ارشد

• Nanotechnology
• Functional Nanomaterials
• Disease Diagnostics
• +۳ مورد دیگر

Dr. Ojodomo Achadu is a Senior Lecturer in Chemistry at Teesside University, affiliated with the School of Health and Life Sciences. He holds a Ph.D. in Chemistry/Nanochemistry from Rhodes University and has held postdoctoral fellowships at institutions including the University of Zululand and Shizuoka University, Japan. His research focuses on nanotechnology, functional nanomaterials, and their application in disease diagnostics, water purification, and sustainable energy solutions. Dr. Achadu leads the Achadu 3N NanoLab Group, which has secured prestigious grants such as the Royal Society International Science Partnerships Fund (ISPF) to develop sustainable nanotechnology-based water purification systems for developing countries in Africa. He has published over 50 articles in leading journals and serves as an editor for multiple scientific publications, including Biosensors and IOP’s Journal of Physics: Photonics. His academic roles include Course Leader for the B.Sc. (Hons) Chemistry Programme and supervision of postgraduate students in Chemistry, Biomedical Sciences, and Environmental Sciences. He actively mentors researchers in securing funding through fellowships like the Marie Curie and Commonwealth Scholarships. Dr. Achadu’s work bridges the health-water-environment-energy nexus, addressing global challenges through innovative nanotechnology solutions. His lab’s projects include solar-powered water purification systems and self-powered nanobiosensors for infectious disease detection.

Jim Alves-Fossمشاهده پروفایل

استاد

• Cybersecurity
• Formal Verification
• Operating Systems
• +۲ مورد دیگر

Jim Alves-Foss is a University Distinguished Professor of Computer Science at University of Idaho's College of Engineering, specializing in high-assurance computing systems and cybersecurity. Core research domains: Formal methods for security verification Operating system security architectures Critical infrastructure protection Automated security policy enforcement Publications demonstrate consistent focus on: Rigorous verification of security properties (e.g., seL4 kernel) Development of automated analysis tools (fuzzing, SDN policy) Industrial control system protection frameworks Adversary-aware risk assessment methodologies

Constantinos Koliasمشاهده پروفایل

دانشیار

• Computer Security
• Network Security
• Cybersecurity
• +۳ مورد دیگر

Constantinos (Costas) Kolias is an Associate Professor in the Department of Computer Science at the University of Idaho, part of the College of Engineering. His expertise lies in cybersecurity, network security, and IoT security. He teaches courses such as CS 404/504 Advanced Security Incident Identification and CS 438/538 Network Security. His research focuses on cutting-edge areas like fuzzing techniques, electromagnetic signal analysis for anomaly detection, and securing industrial control systems. He is affiliated with the University of Idaho’s Idaho Falls campus and actively contributes to advancing cyber resilience through software-defined networking and machine learning applications. His work addresses challenges in detecting lateral movement, mitigating DDoS attacks, and ensuring compliance with industrial cybersecurity standards like IEC 62443-3-3. While no specific awards or grants are detailed here, his extensive publication record highlights contributions to both theoretical and applied cybersecurity research. He maintains an active presence in critical infrastructure security, embedded systems protection, and IoT device vulnerability analysis, reflecting a commitment to bridging academic research and real-world security solutions.

Ethan Ahnمشاهده پروفایل

دانشیار

• Nanoelectronics
• Energy-efficient Devices
• Carbon-based Nanomaterials
• +۶ مورد دیگر

Ethan Ahn is an Associate Professor at George Mason University's Department of Electrical and Computer Engineering, part of the Volgenau School of Engineering. Previously, he held academic positions at the University of Texas at San Antonio (2016–2023) and served as a senior panel process engineer at Apple and a postdoctoral researcher at Stanford University. He leads the Mason Nanoelectronics Lab, focusing on nanoscale materials and devices for energy-efficient electronics, spintronics, and beyond-CMOS technologies. Educational Background: PhD in Electrical Engineering, Stanford University (2015) MS and BS in Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST, 2005–2007) Research Interests: His work spans emerging nanomaterials (e.g., graphene, MoS2), energy-efficient logic/memory devices, and carrier transport mechanisms. Key areas include spintronics, phase-change memory, and energy harvesting systems. His lab collaborates with industry and government through VMEC and VAST alliances. Grants & Awards: Recipient of over $4M in funding, including the AFOSR Grant in Quantum Electronic Solids and the NSF EAGER Grant in Electronics/Photonics. He serves on IEEE technical committees and the editorial board of Scientific Reports. Labs & Teams: The Mason Nanoelectronics Lab operates a state-of-the-art nanofabrication facility, advancing research in nanoelectronics and workforce development. The lab explores biomedical devices, energy solutions, and smart infrastructure integration.

Omer Aliمشاهده پروفایل

مدرس

• Machine Learning
• Artificial Intelligence
• Internet of Things (IoT)
• +۴ مورد دیگر

Omer Ali is a Lecturer (Software Development) at the Department of Computing, South East Technological University (SETU) Carlow campus. His research focuses on Machine Learning, Internet of Things (IoT), and Embedded Systems, with a particular emphasis on energy optimization and sustainable technology integration. Education: PhD in Electrical Engineering (Universiti Sains Malaysia, 2006–2022) MSc in Communications Engineering (University of Manchester, 2007–2008) BSc in Computer Systems Engineering (Bahauddin Zakariya University, 2001–2005) His work explores adaptive machine learning for real-time battery state estimation, energy-efficient wireless sensor networks, and IoT middleware integration. Recent publications highlight trends in AI/IoT for sustainable smart cities and battery health monitoring in low-power electronics. Scientific Awards: 3MT Thesis Winner (2021) Ali has contributed to 23 research outputs, including a 2022 article in Sensors with 84 Scopus citations, and actively engages in peer-review activities for journals like IEEE Access. His research aligns with UN Sustainable Development Goals, particularly in education and sustainability.

• Visible Light Communication
• Optical Camera Communication
• GaN Schottky Diodes
• +۳ مورد دیگر

Xicong Li is a Lecturer in Northumbria University's Department of Mathematics, Physics and Electrical Engineering, specializing in visible light communication (VLC) and optical systems. His research develops advanced communication protocols and hardware implementations for next-generation optical networks. Recent projects investigate CMOS-based camera communication, power allocation in NOMA-VLC systems, and fiber-optic UV sensors. Li's work frequently applies machine learning to optimize signal transmission and security in photonic networks.

Spiros Mancoridisمشاهده پروفایل

استاد

• Cybersecurity
• Malware Detection
• Software Engineering
• +۲ مورد دیگر

Dr. Spiros Mancoridis is the Auerbach Berger Chair in Cybersecurity and Distinguished Professor of Computer Science at Drexel University's College of Computing & Informatics. His research spans software security, malware detection, and autonomic computing systems. He developed novel approaches for behavioral malware detection using NLP techniques. Recent publications focus on AI-driven cybersecurity solutions including generative adversarial networks for IoT malware detection and type-agnostic defense agents. His work has been funded by NSF, DARPA, and industry partners including Microsoft and Intel. Administratively, he has served as interim dean and department head. He is a senior member of IEEE and ACM, with over 70 peer-reviewed publications advancing software security methodologies.

Phillip De Leonمشاهده پروفایل

استاد

• Digital Signal Processing (DSP)
• Machine Learning
• Speech Processing
• +۳ مورد دیگر

Phillip De Leon is an accomplished academic and administrator serving as Associate Vice Chancellor for Research and Chief Research Officer at the University of Colorado Denver. He is also a Professor in the Department of Electrical Engineering within the College of Engineering, Design and Computing. His career includes prior roles as a Professor at New Mexico State University, where he held distinguished professorships for teaching excellence and research leadership. Dr. De Leon leads CU Denver’s strategic research initiatives, emphasizing interdisciplinary collaboration and innovation across diverse academic programs. His research focuses on Digital Signal Processing (DSP), with specializations in machine learning, speech processing (including speaker recognition and speech enhancement), time-frequency analysis, and embedded systems. His work has been supported by agencies such as the Air Force Research Laboratory, Army Research Laboratory, NSF, NASA, and Sandia National Laboratories. He has authored numerous publications in DSP, addressing topics like spoofing detection, spectral analysis, and biomedical signal applications. Education: PhD in Electrical Engineering (prior academic details not specified) Dr. De Leon’s research trends reflect a strong emphasis on security applications of signal processing, such as anti-spoofing for voice authentication systems, and practical implementations of advanced DSP techniques. His recent work explores instantaneous frequency analysis, embedded system optimizations, and machine learning for healthcare monitoring (e.g., falls risk prediction in elderly populations). His professional service includes roles such as Associate Dean of Research and Chief Science Officer, demonstrating leadership in both academic governance and scientific innovation. He maintains active collaborations with industry and government agencies to advance applied research outcomes.

• Information Security
• Applied Cryptography
• Wireless Networking
• +۳ مورد دیگر

Shucheng Yu is an Associate Professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. He holds a PhD in Electrical and Computer Engineering from Worcester Polytechnic Institute (2010). His research spans information security, applied cryptography, wireless networking, distributed trust, and machine learning, with a focus on practical IoT privacy. Recent work explores federated learning security, adversarial robustness, and encrypted geospatial search. He directs the AISecLab research cluster and is a Fellow of IEEE and AAIA. Awards include the IEEE INFOCOM 2020 Test of Time Paper Award and the Stevens Outstanding Teaching Award (2019).

• Cybersecurity
• Software Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Ruitao Feng is a Lecturer in IT (Cybersecurity) at the Faculty of Science and Engineering, Southern Cross University. He holds an adjunct role as a Research Fellow at Nanyang Technological University (Singapore). His expertise spans cybersecurity, software engineering, and AI-driven security solutions. He earned his Ph.D. in Computer Science from NTU (2016–2021) and a Bachelor’s degree from Tianjin University (2010–2014). His research focuses on security and quality assurance in software systems, particularly leveraging AI4Sec & SE for intrusion detection, malware analysis, and vulnerability detection. He actively collaborates with students and researchers to advance these fields. He teaches courses like DATA2001 Database Systems and INFO6002 Cybersecurity Essentials . Ruitao is recruiting self-motivated Ph.D. candidates with strong programming skills and seeks honors/minor thesis students from SCU. His work has been published in top-tier conferences/journals (CORE A/A*, CCF A) in computer security and software engineering.

Halil Yetginمشاهده پروفایل

مدرس

• Wireless Networks Optimization
• Multi-Objective Optimization
• AI for Wireless Networks
• +۷ مورد دیگر

Dr. Halil Yetgin is a Lecturer in Computing Science at the Department of Computer Science, Middlesex University, within the Faculty of Science and Technology. His expertise spans wireless networks optimization, AI-driven solutions, and IoT automation. He holds a PhD in Wireless Communications from the University of Southampton and has held academic roles in Turkey and Slovenia. Teaching Roles: Module Leader for CST2133 (Data Science and Machine Learning) and CST3133 (Advanced Topics in Data Science/AI) Programme Leader for BSc Computer Science (Systems Engineering) Research Focus: Lifetime optimization of wireless networks Multi-objective optimization using evolutionary algorithms (e.g., NSGA-II) AI applications in IoT, vehicular networks, and UAV systems Zero-touch IoT provisioning and anomaly detection Publications & Collaborations: Over 20 peer-reviewed articles in journals like IEEE Transactions and conferences (ENASE, WCNC) Contributions to EU-funded projects and IEEE technical committees Editorial roles in several journals Advising: Supervised multiple MSc and PhD students in AI-driven wireless systems and optimization. Labs/Teams: Active in the Next Generation Wireless Research Group and collaborations with Jožef Stefan Institute.

Mrinal Sharmaمشاهده پروفایل

مدرس

• Cybersecurity
• Internet of Things (IoT)
• Blockchain Technologies
• +۳ مورد دیگر

Mrinal Sharma is a Lecturer in IT and Programme Coordinator for the BSc (Hons) Cyber Security and Digital Forensics at Middlesex University, Mauritius. He joined the university in September 2021 as a Graduate Teaching Assistant during his master's thesis completion and has since advanced to his current roles. His research interests focus on cybersecurity, Internet of Things (IoT), and blockchain technologies, driven by a passion to address modern security challenges through innovative solutions. Teaching: He currently teaches modules including CST 1330 Information Technology Applications CST 2120 Web Applications and Databases CST 2572 Secure Web Technologies CST 3510 Memory Analysis CST 4560 Network Security and Mechanisms Research: His work spans malware threat prediction using AI, blockchain-based healthcare systems, and IoT-driven home security solutions. Recent publications emphasize applications of CNN-SVM ensembles, smart home monitoring via Raspberry Pi, and NFC-enabled patient tracking systems. Student Supervision: He oversees undergraduate and postgraduate projects in cybersecurity and digital forensics, including modules CST 3590, CST 3990, and CST4599.

Mostafa Tahaمشاهده پروفایل

استادیار

• Security of Embedded Systems
• Internet of Things (IoT)
• Implementation Attacks and Countermeasures
• +۳ مورد دیگر

Mostafa Taha is an Assistant Professor at Carleton University's Systems and Computer Engineering Department within the Faculty of Engineering and Design. He holds a PhD from Virginia Tech (2014) and has held postdoctoral roles at Worcester Polytechnic Institute and Western University. His research focuses on securing embedded systems and IoT against implementation attacks, including side-channel analysis, leakage-resilient designs, and cryptographic algorithm hardening. He has contributed to projects like LR-Keymill, a keystream generator with inherent SCA resistance, and has served on program committees for conferences such as DATE and SPACE. Education includes a PhD in Computer Engineering (Virginia Tech), M.Sc. in Electrical Engineering (Assiut University), and B.Sc. in Electrical Engineering (Assiut University). His work spans hardware security, cryptographic implementations, and vehicular networks. Awards include Egyptian Government and Assiut University scholarships for his PhD and M.Sc., respectively. Research interests emphasize quantifying side-channel resistance, leakage-resilient architectures, and lightweight cryptographic implementations. Notable publications include work on AES S-box optimization, threshold implementations for SIMON, and quantifying masking strength in software. He teaches courses on cryptographic implementations, computer systems design, and digital systems at Carleton. Publications reflect a focus on hardware-oriented security, with contributions to conferences like CHES, FDTC, and HOST. His work on LR-Keymill demonstrates a novel approach to SCA resistance without explicit countermeasures, achieving 67.9-bit post-attack complexity. Awards and industrial connections highlight his impact in embedded system security.