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Cüneyt F. BazlamaçcıView profile

Professor

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +5 more

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

Pepijn PinkseView profile

Professor

• Quantum Optics
• Nanophotonics
• Quantum Information Processing
• +3 more

Pepijn Pinkse is a Full Professor at the MESA+ Institute of the University of Twente. His research focuses on quantum optics and nanophotonics, with applications in quantum information processing and secure communication. Education Habilitation, Technische Universitat Munchen (2008) PhD in Physics, University of Amsterdam (1997) Master in Physics, Leiden University (1993) Research Interests Pepijn Pinkse's work spans quantum technologies, including quantum computing, communication, and simulation using nanofabricated photonic structures. His studies often involve complex media and reconfigurable quantum-optical circuits, contributing to the advancement of secure quantum systems and integrated photonic processors. Scientific Awards Fellow of the Optical Society (2017, 2018) Posterprijs (2012) Poster prize at AMO meeting (2015) The Physics Prize of the Academy of Sciences in Göttingen (2004) Advising and Collaborations While no specific advisees are listed, Pinkse collaborates on datasets and research projects, including the 2023 dataset on quantum simulation thermodynamics and numerous invited talks and presentations in 2024 regarding quantum authentication and photonic structures.

Luca CassanoView profile

Associate Professor

• Hardware Security
• RISC-V Processors
• Deep Learning Reliability
• +3 more

Luca Cassano is an Associate Professor at the Department of Electronics, Informatics and Bioengineering (DEIB) at Politecnico di Milano, Italy. He leads the Hardware Forge research group, focusing on hardware security, RISC-V processors, and reliability of deep learning systems. He earned his Ph.D. in Information Engineering from the University of Pisa (2013), with prior postdoctoral research at CNR and Politecnico di Milano. His research spans hardware Trojans, microarchitectural attacks (e.g., Spectre/Meltdown), fault-tolerant design, and radiation-hardened systems. Notable achievements include winning the TTTC's E. J. McCluskey Doctoral Thesis Award (2014) and multiple best paper awards at IEEE conferences. He teaches courses on hardware accelerators and computer fundamentals, and collaborates with industry partners like TDS-Space and ESA on satellite systems and secure RISC-V cores. Research interests include: Hardware Security (Trojans, Side-Channel Attacks) Secure RISC-V Processor Design Deep Learning Reliability Fault-Tolerant Systems Selected articles highlight work on benchmarking deep learning resilience, transient execution attacks on RISC-V, and radiation effects mitigation. His work bridges theory and practice, addressing challenges in embedded systems, space computing, and cybersecurity. Grants and collaborations emphasize applied research in dependable and secure embedded systems.

Ashish PandharipandeView profile

Researcher

• Signal Processing
• Machine Learning
• Automotive Radar Systems
• +5 more

Ashish Pandharipande is a University Researcher at Eindhoven University of Technology (TU/e), affiliated with the Department of Electrical Engineering. His career spans academic and industrial roles, including Technical Director at NXP Semiconductors since 2021 and prior positions at Signify, Philips, and Samsung Advanced Institute of Technology. He holds a PhD in Electrical Engineering from the University of Iowa and conducted postdoctoral research at the University of Florida. Current Role: Technical Director, Innovation at NXP Semiconductors Past Academic Roles: Senior Researcher, Senior Scientist, Lead R&D Engineer His research focuses on signal processing , machine learning , and automotive radar systems , with a strong emphasis on semantic communication , LiDAR-radar fusion , and energy-efficient sensing . Recent work explores sparsity-aware algorithms, interference mitigation, and reconfigurable sensing frameworks for autonomous driving and IoT applications. The 15 most recent publications highlight advancements in automotive radar (e.g., MIMO systems, spoofing detection), semantic communication (e.g., on-demand forwarding, interference cancellation), and smart city applications (e.g., lighting control, RIS-assisted systems). Trends include integration of vision sensors for radar point cloud estimation and deep unfolding for sparse signal recovery. Ashish has supervised 7 students and has over 350 research outputs. His work contributes to UN Sustainable Development Goals in smart cities and energy efficiency .

• Computer Hardware Design
• Smart Cities
• Cybersecurity
• +6 more

Dr. Issam Damaj is a Senior Lecturer in Computer Science at Cardiff Metropolitan University's Department of Applied Computing and Engineering. He holds a PhD from London South Bank University (2004), an MSc from the American University of Beirut (2001), and a BSc from Beirut Arab University (1999). His academic journey includes 17 years in professorial roles across universities in Lebanon, Kuwait, and Oman. Research & Expertise Fields of Interest: Hardware design, smart cities, cybersecurity, electric vehicles, and technical education. Key Projects: FPGA implementations of chaotic systems, vehicular network caching, and sustainable e-mobility infrastructure. Leadership Roles: ABET Program Evaluator, IEEE Senior Member, and founding counselor of the AUK IEEE Student Branch. Recent Research Trends His recent work spans intelligent systems for healthcare hygiene, cybersecurity in multinational operations, and FPGA-optimized algorithms. Themes include IoT-driven solutions, blockchain integration for recommendations, and sustainable energy systems. Recognition & Awards Recipient of multiple awards in mentoring, research, and academic distinction. Second Place in the Best Student Branch Award (2017, AUK IEEE). Collaborations & Impact Dr. Damaj collaborates with global institutions and industries to bridge academic research with real-world applications in engineering education and technology innovation.

Mohammad Al-JarrahView profile

Researcher

• Wireless communications
• Signal processing
• IoT security
• +2 more

Mohammad Al-Jarrah is a Research Associate in Cyber Security at the University of Manchester's Department of Computer Science. His technical expertise spans wireless communications, signal processing, and IoT security, with recent focus on integrated sensing-communication systems and reconfigurable intelligent surfaces. Research highlights include: Optimization of IRS-assisted NOMA systems Simultaneous communication-localization frameworks Kullback-Leibler divergence applications in ISAC Underwater acoustic source localization He contributes to developing efficient algorithms for 5G/6G networks and IoT security, with publications in signal processing and wireless communications. Previously served as Lecturer at Salman bin Abdulaziz University and Lab Instructor at Khalifa University.

Sasa DjokicView profile

Professor

• Renewable Energy Systems
• Power Distribution Networks
• Smart Grid Technologies
• +3 more

Professor Sasa Djokic holds a Personal Chair of Electrical Power Systems at the University of Edinburgh's School of Engineering. His work focuses on advancing renewable energy integration, smart grid technologies, and power system reliability. Key research areas include harmonic analysis, electric vehicle infrastructure, and distributed energy resource management. Djokic leads projects such as the RESILIENT initiative in Kenya, enhancing mini-grids, and THERMAL, addressing transmission line resilience. He has contributed to over 127 publications and 15 projects, emphasizing practical solutions to energy challenges. Research interests span renewable energy systems, power distribution networks, and sustainable energy policies. Notable contributions include optimizing grid upgrades for 100% renewable power, mitigating waveform distortions, and developing machine learning models for energy demand forecasting. Djokic collaborates globally, addressing challenges like energy poverty through peer-to-peer trading and decentralized markets. His work bridges academic research with real-world applications, impacting energy security and sustainability. Key Projects: RESILIENT (Kenya mini-grids), THERMAL (transmission resilience), DISPATCH (decarbonizing heating/cooling) Awards: None explicitly listed, but recognized through academic leadership and research impact. Grants: Funded by EPSRC, National Grid, and UK government bodies.

• Computer Networks
• Wireless Networks
• Satellite Networks
• +5 more

Mohammed Atiquzzaman is the Edith Kinney Gaylord Presidential Professor of Computer Science at the University of Oklahoma’s School of Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Manchester (1987), an M.Sc. from the same institution (1984), and a B.Sc. in Electrical and Electronic Engineering (1982). Research Interests: His work focuses on advanced network systems, including next-generation computer networks, wireless/mobile networks, satellite networks, switching/routing protocols, optical communications, and multimedia over networks. He also explores security, disaster response networking, and quality of service optimization. Awards & Recognition: IEEE ICC’13 Best Paper Award 2006 IEEE Fred W. Ellersick Prize IET Premium Award (2002) Regents’ Award for Research Excellence (2007) University of Oklahoma Alumni Teaching Award (2008) Edith Kinney Gaylord Presidential Professorship (2010) Advising & Grants: His research is supported by the NSF, NASA, and U.S. Air Force. He leads the Telecom and Network Research Lab and has authored books on TCP/IP over ATM networks and satellite mobility architectures. Editorial Roles: Editor-in-Chief of Journal of Network and Computer Applications and Vehicular Communications , and associate editor of multiple IEEE journals.

• Internet of Things
• Smart Cities
• Digital Transformation
• +7 more

Bocchi Yann serves as an Ordinary Professor at HES-SO Valais-Wallis' School of Management within the Economy and Services faculty. His primary appointment resides in the Computer Science Institute where he leads research in Internet of Things, Smart Cities, and Digital Transformation. His work bridges technical innovation with practical urban applications through multiple EU and Swiss-funded projects. His research focuses on IoT architecture design, context-aware systems, and human-centered smart environments. Key contributions include nomadic sensing platforms for cost-effective smart city implementation, geo-aware security protocols for cross-border data exchange, and semantic middleware for heterogeneous technology integration. His work demonstrates particular expertise in translating theoretical IoT concepts into deployable urban solutions through the SmartSantander testbed and other large-scale validations. His publication portfolio reveals consistent focus on IoT interoperability (2014-2017), evolving toward human-centric applications (2015-2016) and energy-aware systems (2020). The research trajectory shows progression from foundational protocol development toward practical smart city implementations with emphasis on data valorization and user experience. As principal investigator, he has secured significant research funding including 820,415 CHF for the EU IoT6 project and 50,000 CHF for GeoTrust from the Hasler Foundation. His collaborative approach spans academic institutions, Swiss cantons, and industry partners including Nokia Research Labs and PostAuto Schweiz AG. He directs the Management Information Technology program while teaching Systems Modeling in the BSc HES-SO in Management Information Systems. His industry partnerships demonstrate strong technology transfer capability, particularly in tourism management systems and cultural heritage applications.

Daniel SanchezView profile

Professor

• Computer Architecture
• Systems & Networking
• Parallel Computing
• +5 more

Dr. Daniel Sanchez is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), where he leads the Computation Structures Group within the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on computer architecture, scalable systems, and memory hierarchies, with particular emphasis on multicore and many-core systems, quality-of-service guarantees, and runtime systems. Education: Ph.D. in Electrical Engineering, Stanford University (2012) M.S. in Electrical Engineering, Stanford University (2009) B.S. in Telecommunications Engineering, Technical University of Madrid (UPM) (2007) Research Interests: Dr. Sanchez’s work spans computer architecture innovations such as cache partitioning (KPart), software-defined caches (Jenga), and accelerators for sparse computing (Azul, Terminus). He designs systems that enhance performance, energy efficiency, and scalability in modern computing environments. His projects include the Swarm Architecture for ordered parallelism and architectures supporting fully homomorphic encryption. Articles Trends: Recent publications emphasize accelerators for sparse algorithms, cryptographic hardware (e.g., Fully Homomorphic Encryption), and high-performance computing. His work bridges hardware-software co-design to tackle challenges in irregular applications, memory hierarchies, and secure computing. Awards & Grants: No scientific awards explicitly listed, but his work has been recognized in top conferences (e.g., MICRO, ISCA). Advising & Teaching: He advises over 20 Ph.D. and master’s students, including current advisees Axel Feldmann and Hyun Ryong Lee. He teaches courses like 6.5900 Computer System Architecture and 6.191 Computation Structures at MIT. Labs & Teams: Leader of the Computation Structures Group at MIT CSAIL, collaborating with researchers like Joel Emer, Srini Devadas, and Armando Solar-Lezama. His team explores cutting-edge architectures and systems for next-generation computing.

• Wireless Communications
• Mobile Networking
• Internet of Things (IoT)
• +8 more

Professor Abbas Jamalipour is a distinguished academic at the University of Sydney, holding the position of Professor of Ubiquitous Mobile Networking within the School of Electrical and Computer Engineering. He earned his PhD in Electrical Engineering from Nagoya University, Japan, and is a Fellow of IEEE, IEICE, and Engineers Australia. His research focuses on wireless and mobile networking, with contributions to 5G/6G, IoT security, resilient communications, and vehicular networks. Jamalipour leads the Wireless Networking Group (WiNG) and serves as President of the IEEE Vehicular Technology Society. Research interests span resilient communication systems for disaster scenarios, IoT healthcare applications, and edge computing. He has authored eight books, over 550 technical papers, and holds five patents. Notable awards include the 2010 IEEE ComSoc Harold Sobol Award and the 2010 Royal Academy of Engineering UK Distinguished Fellowship. Jamalipour has served as Editor-in-Chief of IEEE Wireless Communications and holds leadership roles in major IEEE committees and conferences. Current projects include 4G+/5G networks, wireless-powered IoT, UAV-enabled heterogeneous networks, and vehicular network security. His research students are engaged in topics like IoT security, fog computing, and autonomous driving applications. Jamalipour’s work bridges theoretical advancements with practical implementations, emphasizing technology’s role in enhancing societal resilience and quality of life.

• Wireless Communications
• Digital Communication Theory
• Error Control Coding
• +7 more

Branka Vucetic is a Laureate Professor and ARC Laureate Fellow at The University of Sydney's School of Electrical and Computer Engineering. She leads the Centre for IoT and Telecommunications, focusing on advancing wireless communication systems, including mmWave, URLLC, and IoT. Her research spans coding theory, multi-user detection, and networked control systems. With over 300 publications and four books, she has received prestigious awards such as the Chinese Government Friendship Award and the CSIRO Eureka Prize. She advises numerous PhD and Master’s students on topics like RIS-assisted wireless communications and AI-driven clinical decision support. Education: MSc and PhD from the University of Belgrade. Research interests include 6G technologies, reconfigurable intelligent surfaces, and mission-critical IoT applications. Her work addresses latency, reliability, and energy efficiency challenges in modern communication networks. Current roles include Director of the Centre for IoT and Telecommunications and Fellowships in multiple academies. Awards highlight her contributions to innovation and leadership in engineering and science. She collaborates on projects funded by ARC and industry partners, focusing on practical applications like smart grids and autonomous systems.

Safdar MahmoodView profile

Professor

• Machine Learning
• Reconfigurable Computing
• Robotics
• +3 more

Professor Safdar Mahmood is a faculty member in the Department of Computer Engineering at Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on machine learning, reconfigurable computing, robotics, and embedded systems with applications in FPGA acceleration, biomedical signal processing, and safety-critical systems. He leads projects in the UBICO team and has contributed to hardware-software co-design frameworks for AI applications. Research interests include domain-specific processor architectures, high-level synthesis for CNNs, and FPGA-based implementations of robotics algorithms. Recent work addresses challenges in landmine detection using deep learning, autonomous medical robotics, and spectroscopic data analysis. Notable contributions include a design-space exploration framework for machine learning accelerators and tooling for Tensilica ASIP architecture exploration. His work frequently bridges theoretical computer science with practical hardware implementations in reconfigurable systems. Advising includes mentoring doctoral candidates such as Dr. Mitko Veleski and Dr. Stefan Scharoba. He is affiliated with the Computer Engineering Group and has collaborated on projects like the InjectMeAI humanoid injection system and GPR-based landmine detection frameworks.

Kennedy Chinedu OkaforView profile

Research Fellow

• Cyber-Physical Systems
• IoT Applications
• Edge Automation Networks
• +7 more

Kennedy Chinedu Okafor is a Research Fellow in Mechatronics & Software Engineering at Manchester Metropolitan University (MMU), with a PhD from the University of Nigeria, Nsukka. His roles include Senior Research Associate at the University of Johannesburg (UJ), Adjunct Facilitator at the World Bank Africa Center of Excellence, and external examiner at UJ. He specializes in Cyber-Physical Systems, IoT, Edge Computing, and Robotics. His work includes developing the first indigenous Nigerian COVID-19 Marketplace Robot and establishing Cisco Labs across multiple institutions. Education: PhD in Electronics Engineering (University of Nigeria, 2017), MSc and BSc in Mechatronics Engineering. Professional certifications include AWS, CCNA/CCNP, and IEEE certifications in Cybersecurity, Green IT, and Big Data. Research focuses on Large Scale Software Engineering, Smart Infrastructure, and Cybersecurity. Key projects include the Pandemic Engineering Initiative ($1.2M), Solar-Powered Blood Bank systems, and driverless vehicular dynamics. Over 150 publications across IEEE, Elsevier, and Springer, with 300+ peer reviews. Awardees include UK Tier-1 Global Talent, IEEE Humanitarian Awards, and multiple best paper awards. Active in global initiatives like IEEE Skillup Hub and mentoring 50,000+ youths. Grants exceed £27M, with leadership roles in IEEE committees and global consortiums.

• Machine Learning
• Remote Sensing
• Signal Processing
• +3 more

Jianbo Liu is a prolific researcher with a focus on interdisciplinary fields spanning machine learning, remote sensing, signal processing, and computer vision. His work emphasizes developing advanced algorithms for applications in environmental monitoring, telecommunications, and data-driven decision-making. Liu collaborates frequently with institutions and researchers in China and internationally, contributing to journals like IEEE Transactions on Wireless Communications , Remote Sensing , and Pattern Recognition . Research Interests: Machine learning frameworks for computer vision tasks, remote sensing data analysis, signal processing in communication systems, and optimization of industrial processes. Key Collaborators: Fu Chen, Jimmy S. J. Ren, Ningyuan Cao, Hongsheng Li, and Boyang Cheng. Publications: Over 138 papers across venues such as CVPR, ICCV, and IEEE journals, demonstrating expertise in neural networks, sensor fusion, and spatiotemporal data analysis. His recent work highlights contributions to physics-informed machine learning, gesture recognition via hierarchical attention networks, and secure communication protocols for satellite systems. Liu’s research bridges theoretical advancements with practical applications in environmental science, healthcare, and smart infrastructure.