جست‌وجوی استاد و پژوهشگر

Nima Afrazمشاهده پروفایل

استادیار

• Blockchain Technology
• Telecommunications
• Network Economics
• +۷ مورد دیگر

Nima Afraz is an Assistant Professor in the School of Computer Science at University College Dublin (UCD), affiliated with the CONNECT Research Centre. He holds a PhD from Trinity College Dublin. His research focuses on blockchain applications in telecommunications, network economics, and optical network virtualization. He is Vice-Chair of the Linux Foundation’s Hyperledger Telecom SIG. Education: BSc and MSc from Islamic Azad University, PhD in Computer Science (Trinity College Dublin, 2020), and Certificates in University Teaching from UCD. Research Interests: Blockchain in telecoms, decentralized systems, federated learning, edge computing, and network resource sharing. Notable projects include blockchain-based marketplaces for 5G networks, conflict management in Open RAN, and distributed ledger applications for telecom infrastructure sharing. Grants: Lead on SFI-funded projects (e.g., RE-ROUTE, Data-driven xApps Conflict Management) and Irish Research Council grants exploring blockchain in telecom. Active in professional roles including Deputy Director of UCD’s Graduate Research School. Teaching: Coordinates modules on Data Structures, Object-Oriented Programming, and Computer System Performance. Supervises PhD students in network economics and distributed systems. Professional Activities: Published in top journals/conferences (IEEE Transactions, ACM, OFC), holds patents on PON virtualization, and contributes to industry standards via Hyperledger. Authored a book chapter on blockchain for 5G networks.

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +۴ مورد دیگر

Prof. Juraj Gazda is a Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Kosice. His research focuses on cognitive radio networks, artificial intelligence, green communications, and agent-based modeling. He holds a PhD in engineering from TUKE (2010) and has extensive industry experience as an external consultant at Nokia Networks (2011–2014), advising on LTE wireless systems. He has been a guest researcher at institutions like Ramon Llull University (Spain), Technical University of Hamburg (Germany), and Delft University of Technology (Netherlands). His teaching includes stochastic modeling and data analysis courses. Gazda’s work bridges academia and industry, emphasizing network security, autonomous systems, and 6G technologies. Research highlights include contributions to UAV-assisted networks, blockchain-based spectrum management, and AI-driven edge computing. His projects address real-world challenges in 5G/6G networks, including energy efficiency, secure communication, and autonomous vehicle coordination. Gazda actively collaborates with global tech firms like Verizon Wireless, contributing to network design and optimization. Publications span AI applications in healthcare, vehicular networks, and quantum computing. He advocates for interdisciplinary research, integrating machine learning, blockchain, and metaverse technologies to address future mobility and communication needs.

Sanjiv Bhatiaمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Cyber Security
• +۷ مورد دیگر

Sanjiv Bhatia is a Professor of Computer Science at the University of Missouri-St. Louis, specializing in computer vision, image processing, and operating systems. He holds a PhD in Computer Science from the University of Nebraska-Lincoln and has extensive industry consulting experience in defense applications. His educational background includes: PhD in Computer Science, University of Nebraska-Lincoln (1991) MS in Computer Science, University of Arkansas at Fayetteville (1987) BE in Computer Science Engineering, Motilal Nehru National Institute of Technology (1983) Dr. Bhatia's research focuses on developing algorithms for computer vision applications including image indexing, object tracking, and multi-sensor fusion. His work bridges theoretical computer science with practical applications in defense systems and cloud computing. His publications demonstrate consistent focus on algorithm development for image processing and pattern recognition, with recent expansion into environmental modeling applications. Research trends show progression from core computer vision techniques to applied geospatial analysis and optimization methods. Awards include: Chancellor's Award for Excellence in Teaching (2015) He teaches courses in Operating Systems, Digital Image Processing, and Cloud Computing. His instructional approach emphasizes practical implementation and system-level programming skills, with curriculum materials including extensive programming assignments and open-book examinations.

William J. Beksiمشاهده پروفایل

استادیار

• Robotics
• Computer Vision
• Machine Learning
• +۷ مورد دیگر

William J. Beksi is an Assistant Professor at The University of Texas at Arlington's Department of Computer Science and Engineering, and director of the Robotic Vision Laboratory. His research focuses on robotics, computer vision, and machine learning, with applications in autonomous systems, agricultural robotics, and event-based vision. PhD, MS in Computer Science (University of Minnesota) BS in Mathematics and Computer Science (Stevens Institute of Technology) Dr. Beksi develops algorithms for robot perception and autonomy, emphasizing topological data analysis, control barrier functions, and 3D reconstruction. His work has been sponsored by NSF, USDA, DoD, and industry partners. Recent publications (2023-2025) span event-based vision, agricultural robotics, 3D vision, and safety-critical systems. Key trends include polynomial path planning for deception, edge-informed contrast maximization, and semi-supervised active learning frameworks. ONR Summer Faculty Fellow (2022-2024) NSF CRII Award (2020) IEEE Senior Member UTA CSE Rising Star Research Award (2024) Dr. Beksi advises PhD students in robotics and computer vision, including recipients of UTA Dissertation Fellowships and DoD SMART scholarships. His lab collaborates with institutions like krtkl, AFRL, and NSWCDD on projects ranging from UAV collision avoidance to lunar robotics.

• Robotics
• Aerospace Engineering
• Telecommunications
• +۴ مورد دیگر

Abhishek BERA is a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the Space Robotics department at the University of Luxembourg. His research focuses on advanced robotics, telecommunications, and aerospace engineering, with particular emphasis on multi-robot coordination, UAV networks, and space exploration systems. He holds a strong record of innovation in resilient communication architectures, blockchain-based infrastructure, and 5G/6G technologies for disaster response and lunar exploration. Key research areas include: Multi-robot systems and planetary exploration 6G-UAV networks and edge computing Blockchain applications for space infrastructure Lunar mapping and resilient exploration systems IoT-enabled UAV networks His recent work explores cutting-edge topics such as ROS2 middleware optimization for planetary robotics, trustful coopetitive infrastructures for space missions, and edge-driven geofencing solutions for beyond-visual-line-of-sight (BVLOS) drone operations. His research bridges theoretical advancements with practical implementations in aerospace and telecommunications sectors.

Alhussein Abouzeidمشاهده پروفایل

استاد

• Computer Networks
• Networked Systems
• Internet of Things (IoT)
• +۵ مورد دیگر

Alhussein Abouzeid is a Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). His research focuses on computer networks, networked systems, IoT, smart grid, vehicular networks, and spectrum management. He contributes to the Center for Materials, Devices, and Integrated Systems (CMDIS) and maintains a research group dedicated to advancing dynamic spectrum access, privacy-aware localization, and wireless caching policies. Primary Research Focus: Computer Networks, IoT, Smart Grid, Vehicular Networks Research Center: Center for Materials, Devices, and Integrated Systems (CMDIS) Professor Abouzeid's recent work explores the integration of graph neural networks in spectrum enforcement, privacy-aware deep learning for localization, and spatially correlated content caching in wireless networks. His publications highlight advancements in spectrum partitioning, retransmission protocols, and traffic flow control, with applications in 5G/6G systems and smart grids. Scientific Trends: 2025: Machine learning for spectrum enforcement (Spec-GNN) 2023: Privacy-preserving localization and caching optimization 2021: Stochastic spectrum market models and lease duration optimization 2020: Workload distribution and collaborative caching frameworks

• Porous Media Flow
• Geological Carbon Sequestration
• Subsurface Energy Systems
• +۲ مورد دیگر

Dr. Cheng Chen is Associate Professor and Nariman Farvardin Professor in the Department of Civil, Environmental and Ocean Engineering at Stevens Institute of Technology. He directs the Subsurface Energy, Water and Environmental Systems (SEWES) Lab, focusing on porous media transport phenomena through combined computational and experimental approaches. His NSF and DOE-funded research addresses multiphase flow in geological formations for carbon sequestration, shale energy recovery, and nuclear waste disposal. Recent work integrates machine learning for scale-bridging data assimilation and distributional reinforcement learning for autonomous marine systems. Chen's methodological innovations include lattice Boltzmann simulations for pore-scale analysis and Gaussian process models for uncertainty quantification. Scholarly outputs demonstrate consistent focus on energy-geoscience interfaces, with recent expansion into privacy-preserving federated learning applications for IoT systems. His 2023-2024 publications increasingly address security challenges in distributed computing and adversarial machine learning. Major Recognition: Stanford Top 2% Most Cited Scientist (2023) Nariman Farvardin Endowed Professorship Chen teaches numerical methods in environmental engineering and subsurface flow modeling, maintaining industrial partnerships with Schlumberger, SeaRobotics, and Consolidated Edison. He holds editorial roles for SPE Journal and has authored over 60 peer-reviewed publications.

Fatemeh Khoda Parastمشاهده پروفایل

استادیار

• Cybersecurity
• Cyber Threat Intelligence
• Digital Forensics
• +۳ مورد دیگر

Fatemeh Khoda Parast is an Assistant Professor in the Department of Computer Science at the University of New Brunswick (UNB). She previously served as an Assistant Professor at the University of Guelph from September 2023 to September 2024. Her PhD in Computer Science from UNB (2019–2023) focused on the security of large-scale distributed storage systems. She currently researches transforming cyber threat intelligence into rapid defense mechanisms. Education: PhD in Computer Science, University of New Brunswick (2019–2023) Her research interests span cybersecurity, cyber threat intelligence, digital forensics, and cloud storage security. She explores cryptographic solutions for distributed systems and AI-driven threat detection. Recent work includes CephArmor (secure Ceph storage interfaces) and neural network-based RSA cryptanalysis. Her publications address cutting-edge topics like AI in threat intelligence automation and privacy-preserving machine learning for distributed data. No scientific awards are explicitly mentioned. No advising or grant details are provided. Her work contributes to advancing secure cloud infrastructure and cryptographic protocols.

Cheng Liمشاهده پروفایل

استاد

• Wireless Communications
• Underwater Acoustic Networks
• Wireless Sensor Networks
• +۶ مورد دیگر

Cheng Li is a Full Professor and Department Head of Electrical and Computer Engineering at Memorial University of Newfoundland. He holds adjunct professorships at Harbin Institute of Technology and Xi'an University of Post and Telecommunications. His expertise spans wireless communications, underwater networks, and sensor systems. He has held academic roles since 1999, including leadership in Nokia Telecommunications and Baosteel. Education: B.Eng. (Hons.) and M.Eng. from Harbin Institute of Technology, followed by a PhD at Memorial University. His research focuses on energy-efficient wireless networks, underwater localization, and cooperative communication protocols. Research highlights include innovations in underwater acoustic sensor networks, vehicular ad-hoc networks, and integrated satellite-terrestrial systems. He has received 8 notable awards, including the Best Paper Award at IEEE ICC’2010 and the David Dunsiger Award. His work bridges academic and industrial applications, with contributions to standards like NECEC and IEEE conferences. He advises on network security, IoT, and multi-agent systems, with over 30 peer-reviewed publications since 2001.

Andrew Vardyمشاهده پروفایل

استاد

• Swarm Robotics
• Biologically Inspired Robotics
• Autonomous Systems
• +۱ مورد دیگر

Andrew Vardy is a Professor jointly appointed to the Faculty of Engineering and Applied Science and the Department of Computer Science at Memorial University of Newfoundland. He holds a B.Eng. in Electrical Engineering (Memorial), M.Sc. in Evolutionary and Adaptive Systems (University of Sussex), and PhD in Computer Science (Carleton University). His research explores swarm robotics, biologically inspired algorithms, autonomous navigation, and multi-robot systems. Key areas include visual homing, distributed construction, environmental sensing, and robotic simulation tools. He leads the Memorial University Bots Lab, developing applications for marine and terrestrial environments. Vardy teaches courses in autonomous robotics, computer programming, software design, and control systems. His publications emphasize computational complexity in swarm algorithms, reinforcement learning for coordination, and novel applications like drum accompaniment AI and marine urchin detection. Recent work integrates attention mechanisms, transformer networks, and edge computing paradigms.

• Signal Processing
• IoT and M2M Systems
• Edge-based Network Devices
• +۷ مورد دیگر

Dr. Purav Shah is a Senior Lecturer in the Design Engineering & Mathematics Department at Middlesex University, part of the Faculty of Science and Technology. He joined Middlesex in 2010 and previously served as an Associate Research Fellow at the University of Exeter (2008–2010) on the EU-FP6 PROTEM project. He holds a PhD in Communication and Electronics Engineering from the University of Plymouth (2008) and is a UK HEA Fellow. Education PhD in Communication and Electronics Engineering, University of Plymouth, UK (2008) Research Fellowship, University of Exeter (2008–2010) Research Interests His research focuses on signal processing for next-gen communication networks, IoT/M2M systems, edge-based devices, AI-inspired smart systems, RF fingerprinting, digital twin modeling, and energy-efficient wireless systems. He has led projects on digital twin applications in transportation, smart factories, and cyber-physical systems. Teaching & Leadership He is Programme Leader for MSc Telecommunications Engineering, MSc Intelligent Telecommunications Engineering (since 2014), and MSc Robotics (since 2023). He teaches courses on digital systems design, machine learning for robotics, and telecommunications project modules. Key Contributions Developed frameworks for digital twin-driven traffic optimization and smart factory systems. Pioneered work on AI-assisted scheduling in 6G networks and energy-efficient vehicular edge networks. Contributed to disaster management communication architectures and D2D-based public safety networks. Published over 100 papers in top venues like IEEE Transactions and international conferences. Awards & Recognition UK HEA Fellow (Higher Education Academy) Advising & Grants Currently supervising PhD students Nivede Issur and Inas El-Aroussi. His research has been supported by grants from EPSRC and Innovate UK, focusing on smart systems and network optimization. Labs & Teams Active in Middlesex’s Network and Digital Systems (NDS) research group, collaborating on projects like DigIT (Digital Twins for Transportation) and blockchain-integrated cyber-physical systems.

Evangelos Kranakisمشاهده پروفایل

استاد

• Algorithmics
• Distributed Computing
• Mobile Agent Computing
• +۳ مورد دیگر

Evangelos Kranakis is the Chancellor's Professor at Carleton University's School of Computer Science (SCS), where he has been since 1991 and served as director from 1994 to 2000. He holds a Ph.D. in Mathematics from the University of Minnesota (1980) and a B.Sc. from the National Technical University of Athens (1973). His research focuses on Algorithmics, Distributed and Mobile Agent Computing, Networks (Ad Hoc/Wireless/Sensor), Cryptographic Security, and Computational Biology . He has held visiting positions at institutions worldwide, including ETH Zurich, Université de Paris Sud, and Simon Fraser University. Research interests emphasize algorithmic foundations for distributed systems, mobile agents, and network security. His work bridges theoretical models with practical applications in wireless networks, robotic search strategies, and underwater communication. He leads the Distributed and Network Computing research group and maintains an academic homepage with publications and ORCID profile ( orcid.org/0000-0002-8959-4428 ). Key articles explore topics like optimal task offloading in edge computing, robot coordination for search/evacuation, and UAV trajectory design using reinforcement learning. His contributions span interdisciplinary fields, with a focus on fault-tolerant systems and network optimization. Notable technical achievements include pioneering work on distributed algorithms for mobile agents and underwater acoustic networks. His research also addresses quantum network protocols and multi-agent systems in dynamic environments.

Kamran Aliمشاهده پروفایل

مدرس ارشد

• IoT
• Wireless Cooperative Networks
• D2D Communication
• +۹ مورد دیگر

Dr. Kamran Ali is a Senior Lecturer in the Computer Science Department at Middlesex University's Faculty of Science and Technology since 2020. He holds a PhD in Communication Architecture Design, supported by the Newton Fund/British Council Institute. His research spans IoT, wireless networks, D2D communication, cloud computing, cybersecurity, and disaster infrastructure modeling. He actively leads international projects such as the EMERALD initiative for environmental monitoring and the ICRG Pakistan-UK collaboration. Dr. Ali is a Fellow of the Higher Education Academy (UK) and contributes to IEEE conferences as a technical reviewer and committee member. His teaching roles include leading modules like CST4570 Virtualisation and Cloud Computing and CST2590 Internet of Things. Research interests include heterogeneous networks, digital twin technology, energy-efficient systems, and smart city infrastructure. His funded projects address challenges in environmental monitoring, disaster response, and public safety networks. Education: PhD in Communication Architecture Design (Newton Fund/British Council) Grants: ICRG (Pakistan-UK), EMERALD (with VIT India), and UKIERI projects Committees: IEEE Technical Programme Committee member and TPC Chair Key research trends include integrating AI/ML in environmental and disaster management, optimizing vehicular and edge networks, and enhancing cybersecurity for healthcare and financial systems. His work bridges technological innovation with real-world applications like smart cities and sustainable development. Awards: Fellow of the Higher Education Academy (UK) Grants & Collaboration: Oversees multiple international research partnerships and leads innovation in public safety communication systems Dr. Ali collaborates with global institutions on projects like drone-based small cells for emergency networks and energy-efficient architectures for critical infrastructure. His interdisciplinary approach addresses challenges in both technical and societal domains.

Yuhua Chenمشاهده پروفایل

دانشیار

• Optical Networks
• Quantum Cryptography
• FPGA Systems
• +۵ مورد دیگر

Dr. Yuhua Chen is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Houston, affiliated with the Systems Research Laboratory (SRL). She holds Senior Member statuses with the National Academy of Inventors (NAI) and IEEE. Her research focuses on optical networks, quantum cryptography, FPGA systems, IoT, and high-performance routers, with emphasis on system prototyping for real-world applications. Education: D.Sc., Electrical Engineering, Washington University in St. Louis MS, Electrical Engineering, Washington University in St. Louis MS, Computer Science, Washington University in St. Louis BS, Electrical Engineering, Fudan University, Shanghai, China Research Interests: Dr. Chen’s work bridges theoretical and applied systems engineering. She pioneers quantum cryptography protocols for optical networks, develops FPGA-based hardware solutions for IoT and high-speed routers, and designs multi-mode switching architectures to support mission-critical applications like telesurgery. Her lab emphasizes practical prototyping, with NSF-funded projects creating testbeds for DWDM multi-mode switching and quantum-secure communication systems. Grants & Projects: Co-PI: NSF Grant (2011-2014) exploring quantum cryptography in optical networks PI: NSF MRI Grant (2009-2014) developing reconfigurable DWDM platforms for telemedicine PI: NSF CRI Grant (2007-2011) for optical burst switching testbeds Awards & Recognition: Recipient of multiple NSF grants and patent holder for innovations in network security and quantum communication. Recognized for contributions to engineering education through the Systems Research and Education Consortium (SREC), which promotes gender diversity in engineering. Labs & Initiatives: Director of the Systems Research Laboratory (SRL), advancing networked systems through hardware prototyping. Founder of the SREC consortium, fostering industry-academia collaboration and women in engineering programs.

Betty Liمشاهده پروفایل

استاد مدعو

• Biomaterials
• 3D Bioprinting
• Microphysiological Systems
• +۷ مورد دیگر

Dr. Betty Li is an Adjunct Professor in the Department of Systems and Computer Engineering at Carleton University and a researcher at the Human Health Therapeutics Research Center. She holds a Ph.D. in Biomedical Engineering from the University of Western Ontario (2018), with prior degrees from Western Ontario (Master of Engineering Science, 2013) and the University of Toronto (Bachelor of Applied Science in Nanoengineering, 2011). Her research focuses on developing microphysiological systems, such as organ-on-chip models, using stem cells, 3D bioprinting, and biomaterials to advance preclinical drug discovery. Key research areas include biomaterials, biomechanics, and microfluidic design. Her recent publications (2023–2025) emphasize 6G networks, non-terrestrial networks (NTN), and AI-driven solutions for wireless communication challenges. She explores topics like federated learning in NTN, hemispherical antenna arrays for HAPS, and energy-efficient satellite IoT systems. Her work bridges biomedical engineering and telecommunications, addressing challenges in both fields. No scientific awards are explicitly mentioned in the text. She advises no listed students but collaborates on projects involving robotic aerial base stations and spectral efficiency optimization. Her lab work integrates interdisciplinary approaches for in vitro tissue modeling and sustainable network architectures.