جست‌وجوی استاد و پژوهشگر

Paterakis Michaelمشاهده پروفایل

استاد

• Computer Communication Networks
• Protocol Design
• Performance Evaluation
• +۵ مورد دیگر

Michael Paterakis is a Professor of Telecommunications at the Technical University of Crete (TUC), School of Electrical and Computer Engineering (ECE). He holds a Ph.D. from the University of Virginia (1988), an M.Sc. from the University of Connecticut (1986), and a Diploma in Electrical Engineering from the National Technical University of Athens (1984). His roles include Vice Rector for Academic Affairs (2005–2010), Director of the Telecommunication Systems Institute (2000–2005), and Chair of the ECE Department (1999–2001). He is a Senior Member of the IEEE. Education: Ph.D. in Electrical Engineering, University of Virginia, 1988 M.Sc. in Electrical Engineering, University of Connecticut, 1986 Five-Year Diploma in Electrical Engineering, National Technical University of Athens, 1984 Research Interests: His work focuses on computer communication networks, including protocol design, performance evaluation of broadband and wireless systems, queueing theory, and distributed multimedia systems. Key areas include: - Design and analysis of MAC protocols for wireless and powerline networks - Call Admission Control (CAC) mechanisms for multimedia traffic - Cache management policies for video streaming - Network modeling and simulation. Recent Research Trends: Recent publications emphasize optimizing protocols for heterogeneous networks (e.g., CRNs), improving CAC accuracy for video traffic, and enhancing MAC protocols for powerline systems. His work integrates theoretical models with practical network deployment. Awards & Recognition: Senior Member of the IEEE. Grants & Projects: Principal Investigator of the EU-funded project to design broadband fiber-optic MANs in Crete (2005–2009). Labs & Teams: Leads the Information and Networks Laboratory at TUC, focusing on advanced networking and telecommunications research.

• Distributed Systems
• Parallel Computing
• Performance Analysis
• +۵ مورد دیگر

Roland Wismüller is a Professor at the Institute of Computer Science, University of Siegen, Germany, with previous affiliations at the Technical University of Munich (LRR-TUM). His extensive academic career spans over three decades with continuous publications from 1994 through 2025, demonstrating sustained research activity and leadership in computer science. Wismüller's research interests focus on distributed systems, parallel computing, and performance analysis, with significant contributions to monitoring systems for grid applications. His work has evolved to include contemporary areas such as Device-to-Device (D2D) networking, automotive systems, and mobile security. His research spans both theoretical foundations and practical implementations, with numerous tools and frameworks developed for performance measurement, debugging, and monitoring of distributed applications. Analysis of his publication trends reveals a clear progression from foundational work in parallel and distributed systems in the 1990s and early 2000s toward more applied domains in recent years. His early work established frameworks for performance analysis of grid applications (G-PM tool), while his recent publications address challenges in D2D communications, automotive sensor systems, and Android security. This evolution demonstrates adaptability to emerging technological domains while maintaining core expertise in system performance and monitoring. Wismüller has maintained long-standing collaborations with researchers including Marian Bubak, Wlodzimierz Funika, and Bartosz Balis, with whom he has co-authored numerous publications. His work has appeared in prestigious venues including Future Generation Computer Systems, IEEE Communications Surveys & Tutorials, and Sensors, reflecting both the quality and interdisciplinary nature of his research.

Jing Dengمشاهده پروفایل

استاد

• Wireless Networks
• Network Security
• Online Social Networks
• +۳ مورد دیگر

Jing Deng is the Associate Dean of the College of Arts and Sciences and Bank of America Distinguished Professor in the Department of Computer Science at the University of North Carolina at Greensboro (UNCG). He previously served as Head of the Computer Science Department (2019–2024). Educated at Cornell University (Ph.D., 2002) and Tsinghua University (M.E. and B.E., 1997/1994), his expertise spans wireless networks, network security, and online social networks. His research focuses on federated learning, UAV-assisted networks, and secure communication protocols. Notable awards include the ACM SIGSAC Test-of-Time Award (2013) and IARIA WEB Conference Best Paper Award (2015). He has authored over 100 publications, including recent work on accelerating large language models on resource-constrained UAVs and federated learning in edge computing. His work appears in top venues like IEEE INFOCOM, ICC, and Transactions on Mobile Computing. He has advised numerous graduate students and served on editorial boards for IEEE Transactions. Labs/Teams: Active in the UNCG Computer Science research group, focusing on network security and distributed systems. Collaborates with industry and academia on 5G, IoT, and edge computing initiatives.

Paul Mitchellمشاهده پروفایل

استاد

• Wireless Communications
• Underwater Information Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Professor Paul Mitchell has been with the University of York since 2005, specializing in wireless communications and underwater information systems. With over 22 years of research experience and industrial background at BT and DERA/QinetiQ, his primary focus is on underwater acoustic networks, terrestrial wireless sensor networks, and communication protocols development including novel MAC and routing strategies. His research applies machine learning to distributed communication problems, traffic modeling, and queuing theory. Professor Mitchell has authored over 140 refereed publications and secured over £2.3M + €4.7M in research funding as principal and co-investigator. He teaches courses including Mobile Communication Systems and Communications Engineering, and holds administrative roles including Research Committee Chair. His laboratory facilities include acoustic modems and wireless sensor development kits for practical experimentation. Awards include: IET Best paper award (2009) IEEE NESEA Best paper award (2012) IEEE iCCECE Best paper award (2018) BROADNETS Best paper award (2018)

Dave Pearceمشاهده پروفایل

مدرس ارشد

• Internet Protocols
• Wireless Systems
• Analogue and Digital Design
• +۳ مورد دیگر

Dr. Dave Pearce is a Senior Lecturer (Teaching & Scholarship) at the University of York, affiliated with the School of Physics, Engineering and Technology. He holds a BA from the University of Cambridge and a Ph.D. from the University of York. His career spans industry roles at Plessey Research and Madge Networks, followed by academic appointments since 1998. His expertise bridges engineering education and communications technology. Current research focuses on pedagogical innovations, including laboratory teaching methods and educational software. His past work emphasized wireless systems, network protocols, and telecommunications infrastructure design. Key contributions include over 40 publications in communications engineering and education, along with twelve patents. Notable projects include work on IEEE 802.5 token ring networks, fixed wireless access systems, and HAP (High Altitude Platform) communications. He leads the MSc in Communications Engineering and advises on novel user interface technologies for music applications. Recent publications explore SCUBA diver data for oceanographic monitoring and competitive video game engagement strategies. His scholarship emphasizes practical laboratory learning and technology integration in higher education.

Yi Chuمشاهده پروفایل

پژوهشگر ارشد

• Wireless Sensor Networks
• Reinforcement Learning
• Communication Technologies
• +۵ مورد دیگر

Dr. Yi Chu is a Research Fellow in the Department of Electronic Engineering at the University of York. He holds a BSc from China Agriculture University (2008) and a PhD from the University of York (2010). His research focuses on Communication Technologies, specializing in Wireless Sensor Networks, Reinforcement Learning, and 5G/Cell-Free MIMO systems. He is actively involved in EPSRC projects like NetCodMod5G and leads collaborative initiatives in aerial neutral host networks and quantum key distribution. Education: BSc, China Agriculture University (2008) MSc & PhD, University of York (2010) Research Interests: Wireless Sensor Networks Reinforcement Learning Applications 5G/6G Network Technologies Cell-Free MIMO Architectures Quantum Key Distribution Recent Work: Developed O-RAN-based testbeds for cell-free MIMO systems Advanced channel estimation using graph neural networks Investigated power consumption in Open RAN digital twins Grants & Projects: EPSRC REACH: Distributed Beamforming Antenna Testbed RIC Enabled (CF-)mMIMO for HDD (2023-2025) KTP with AEMT Ltd (2022-2024) Labs/Teams: Part of the EPSRC-funded NetCodMod5G project team Collaborates with industry partners on aerial telecom infrastructure

Suraj Jogمشاهده پروفایل

پژوهشگر

• Wireless Networking
• RF Sensing
• IoT and Low Power Networks
• +۱ مورد دیگر

Suraj Jog is a Senior Research Scientist in the Networking Research Group at Microsoft Research, Redmond. He holds a PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), advised by Haitham Hassanieh, and a Bachelor of Technology in Electrical Engineering from IIT Bombay. His research focuses on Wireless Networking , RF Sensing , IoT and Low Power Networks , and Machine Learning . He has contributed to projects like FarmBeats and developed systems such as HawkEye for mmWave imaging. His work spans spectrum efficiency in satellite networks, mmWave beam alignment, and ambient signal utilization for IoT localization. Notable achievements include the Qualcomm Innovation Fellowship 2020, Third Place in the SIGCOMM 2020 Student Research Competition, and the Joan and Lalit Bahl Fellowship. He serves on editorial boards for IEEE Network Magazine and conference program committees like MobiCom 2023/2024. His research bridges theoretical advancements with practical applications, such as reducing environmental sensing costs by 50x and demonstrating mmWave imaging in foggy conditions. Advising: No formal advisees listed. Current roles include leadership in the Networking Research Group at Microsoft, and contributions to open-source projects and datasets for radar imaging and mmWave systems.

Rohit Chadhaمشاهده پروفایل

دانشیار

• Computer Security
• Formal Methods
• Program Analysis
• +۵ مورد دیگر

Rohit Chadha is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri and serves as the Director of the Mizzou Cybersecurity Center . His research focuses on formal methods and their application to cybersecurity , particularly in verifying differential privacy mechanisms and randomized security protocols . Education : PhD from the University of Pennsylvania, BTech from the Indian Institute of Technology, Delhi Previous Positions : INRIA Saclay (France), University of Illinois at Urbana-Champaign, Instituto Superior Tecnico (Portugal), University of Sussex (UK) Research Interests include automated verification of security hyperproperties , probabilistic automata , and quantitative information flow . His work addresses privacy risks in aggregate data and AI-driven battlefield communication systems. Publication Trends show a focus on differential privacy verification , zero-trust architectures , and model checking of probabilistic systems. He has contributed to security frameworks for military applications and educational initiatives using collegiate competitions. Scientific Awards : NSF CAREER Award (2016) NSF SHF: Medium Grant (2019) NSF TWC: Medium Grant (2013) Rohit leads the Mizzou Cybersecurity Center , collaborating with industry partners through its Industrial Advisory Board . His research integrates formal verification with practical cyber defense applications.

• Cybersecurity
• Cloud Computing
• Information Security
• +۶ مورد دیگر

Mehmet Tahir Sandıkkaya is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He holds a Ph.D. in Computer Sciences from ITU and has been actively contributing to academia since 2002, progressing from Research Assistant to his current faculty position. He also served as a Doctoral Teaching Staff member at Institut National Polytechnique de Grenoble (Drakkar Lab) from 2018 to 2019. His educational background includes: B.Sc. in Electrical Engineering, Istanbul Technical University (1998–2002) M.Sc. in Computer Sciences (Thesis), Istanbul Technical University (2002–2006) Ph.D. in Computer Sciences, Istanbul Technical University (2006–2016) Dr. Sandıkkaya's research is centered on cybersecurity , cloud computing , information security , and cryptography . His work extends into Internet of Things (IoT) security , malicious behavior detection , and privacy-preserving systems . He employs machine learning techniques for intrusion detection, particularly in web sessions and avionic platforms. His research also addresses security challenges in e-commerce, SMEs, and national critical infrastructures. The analysis of his recent publications reveals a strong focus on practical security solutions, including lightweight authentication for IoT, DDoS detection using network features, and secure cloud architectures. His work increasingly integrates AI and cyber-physical systems for environmental monitoring and sustainable resource management. His scientific recognition includes: IEEE Member since 2001 Principal Investigator on multiple TTO and TÜBİTAK-funded research projects h-index of 8 with over 215 citations (Scopus) Dr. Sandıkkaya actively supervises students and leads significant research initiatives. He has served as Program Chair at ITU in 2018 and is the Principal Investigator (PI) on nine research projects, including "National Critical Infrastructure Cyber Attack System (SİNERJİ SALDIRI)" and "AI-Based Sustainable Basin Management via IoT" . His grants span cybersecurity, cloud design, and embedded systems, reflecting a robust research portfolio with real-world applications. He is affiliated with the Drakkar Research Lab at Institut National Polytechnique de Grenoble and leads cybersecurity research teams at ITU focusing on cloud security, IoT authentication, and avionic system protection. His lab integrates machine learning, formal methods, and system-level security engineering.

• Computer Architecture
• Edge AI Systems
• Memory Systems
• +۶ مورد دیگر

Rafael Medina Morillas is a researcher at the Embedded Systems Laboratory (ESL) at Ecole Polytechnique Fédérale de Lausanne (EPFL), where he focuses on computer architecture and hardware acceleration for edge AI systems. His research addresses the memory wall problem through innovative architectural designs that improve energy efficiency and performance in data-intensive applications. His primary research interests include: Compute-near-Memory architectures Hardware acceleration for machine learning Edge AI systems Chiplet architectures and interconnects Wireless communication for computing systems Medina Morillas' publication record demonstrates significant advancements in memory systems and hardware acceleration. His work on SideDRAM shows up to 83% EDAP reduction compared to state-of-the-art designs, while his research on wireless communication achieves up to 2.64x speedup for deep neural networks. His recent publications focus on structured pruning techniques for transformers, co-design frameworks for edge AI, and thermal management solutions for heterogeneous systems. His research is supported by collaborations with IMEC, Université de Bordeaux, and HEIG-VD, as well as funding from EC H2020 projects and the ACCESS-AI Chip Center. These partnerships enable comprehensive exploration of architectural innovations across different technology domains. As evidenced by his doctoral thesis 'System-aware Architectural Co-design to Tackle the Memory Wall,' Medina Morillas takes a cross-layer approach to system design, integrating hardware and software optimizations to address fundamental bottlenecks in modern computing systems. His work demonstrates how system-aware architectural design can achieve improvements in runtime, energy consumption, and thermal behavior for data-intensive applications.

• Economics
• Innovation Economics
• R&D Networks
• +۴ مورد دیگر

Michael David König is a Lecturer at the Department of Management, Technology, and Economics at ETH Zürich, specializing in Innovation Economics within the KOF Swiss Economic Institute. His research focuses on the intersection of network theory and economics, particularly examining R&D networks, technology spillovers, and innovation dynamics. König maintains an active research profile with publications spanning economics, network science, and computer science. König's research spans multiple domains including economic network analysis, innovation economics, and technology diffusion. He has made significant contributions to understanding how firms form R&D collaborations and how knowledge flows through these networks. His work combines theoretical modeling with empirical analysis of large-scale network data, revealing patterns such as oscillatory dynamics in R&D collaboration intensity. Recent research has also addressed practical economic issues, including firm responses to the COVID-19 pandemic and factors influencing R&D investment decisions in Switzerland. His interdisciplinary approach bridges economics with computational methods, reflecting his background in both theoretical and applied network analysis. König's publication record demonstrates a strong interdisciplinary trajectory, beginning with contributions to wireless network protocols and distributed systems before focusing more intensively on economic applications of network theory. A consistent theme across his career has been the study of how networks evolve and how these structures influence outcomes in various domains, from technology diffusion to economic fluctuations. His research often employs sophisticated modeling techniques to analyze the coevolution of networks and economic behavior, with particular attention to the dynamics of knowledge creation and diffusion. König teaches Introduction to Microeconomics at ETH Zürich, as evidenced by his listing in the Autumn Semester 2025 course catalog. His office is located at LEE G 224, Leonhardstrasse 21, 8092 Zürich, Switzerland. He is affiliated with the KOF Innovation Economics research group, which focuses on innovation, technological change, and their economic implications.

CESUR BARANSELمشاهده پروفایل

استاد

• Computer Science and Engineering
• Machine Learning
• Artificial intelligence
• +۵ مورد دیگر

Professor Cesur Baransel is a faculty member in the Computer Engineering Department at Gaziantep University's Faculty of Engineering in Turkey. With expertise spanning computer science, machine learning, artificial intelligence, and image processing, he has established himself as a prominent researcher with contributions across multiple disciplines. Education: Doctorate (1990-1994): Department of Computing Science, University of Alberta, Canada Degree (1985-1988): Department of Computer Science Engineering (Computer Hardware), Hacettepe University, Turkey Licence (1981-1985): Department of Computer Science Engineering, Hacettepe University, Turkey Professor Baransel's research spans multiple domains with particular emphasis on parallel computing algorithms, network protocols, and more recently, applications of machine learning in bioinformatics and decision science. His early work focused on efficient routing algorithms and parallel matrix multiplication for high-performance computing architectures, especially torus networks. Over time, his research has expanded to include information-theoretic approaches in genetics, drug-target interaction prediction using autoencoders, and neutrosophic decision-making frameworks for drone selection. His publications demonstrate a remarkable evolution from fundamental computer architecture research to increasingly interdisciplinary applications across healthcare, finance, and industrial engineering. Professional Experience and Projects: Professor at Gaziantep University (2018-present) Extensive industry experience including positions at Saltus Yazılım, Likom PD, and Netaş from 1986-2009 Three major research projects completed: Optical Ore Sorting System, Computerized Jacquard Control System, and Mass Balancing Software for Cement Factories Author of five books and book chapters covering mathematical methods in engineering, parallel computing, and software architectures

Subrahmanya Swamy Peruruمشاهده پروفایل

استادیار

• Wireless Networks
• Artificial Intelligence
• Probabilistic Graphical Models
• +۲ مورد دیگر

Subrahmanya Swamy Peruru is an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). His research focuses on wireless networks, artificial intelligence, and probabilistic graphical models, contributing significantly to the field of network optimization and machine learning applications in communication systems. Dr. Peruru completed his educational journey with excellence: PhD in Electrical Engineering from Indian Institute of Technology Madras (2018) M.S. (by Research) from Indian Institute of Technology Madras (2018) B.Tech in Electronics and Communication Engineering from Sastra University (2011) Dr. Peruru's research interests lie at the intersection of wireless communications and artificial intelligence. His work primarily focuses on developing efficient algorithms for wireless network scheduling, leveraging reinforcement learning and graph neural networks to optimize network throughput and minimize delays. He has made significant contributions to CSMA (Carrier Sense Multiple Access) protocols, particularly in adapting them to SINR (Signal-to-Interference-plus-Noise Ratio) models using advanced approximation techniques from statistical physics. His research on probabilistic graphical models has enabled more efficient network resource allocation and has potential applications in 5G and beyond wireless systems. Dr. Peruru's interdisciplinary approach bridges theoretical computer science, electrical engineering, and machine learning to solve practical challenges in modern communication networks. His publication record demonstrates a consistent focus on wireless network optimization, with a recent shift toward incorporating machine learning techniques. Starting with foundational work on CSMA protocols and regional approximations (2015-2018), his research has evolved to include reinforcement learning (2023) and graph neural networks (2021) for network scheduling. This progression reflects the broader trend in networking research toward data-driven and AI-enhanced approaches. His work spans both theoretical contributions (approximation algorithms, convergence analysis) and practical implementations (scheduling algorithms with throughput guarantees). Dr. Peruru previously served as a Senior Research Engineer in the Machine Learning R&D team at Pramati Technologies, Chennai (2018-2020), where he likely applied his academic expertise to industry challenges before joining IIT Kanpur as faculty.