جست‌وجوی استاد و پژوهشگر

Arnaldo Spalvieriمشاهده پروفایل

دانشیار

• Digital Communications
• Telecommunications
• Channel Coding
• +۳ مورد دیگر

Prof. Arnaldo Spalvieri is an Associate Professor at the Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano. He holds a degree in Electronic Engineering from the University of Ancona (1985). Prior to his academic role, he worked at Telettra (now Alcatel-Lucent) on modem design and later served as a researcher at Politecnico di Milano before becoming Associate Professor in 1998. His research focuses on digital transmission systems, channel coding, synchronization, and neural networks for pattern recognition. He has co-authored over 100 publications and patents, and co-founded the spin-off company Binary Core (2006), specializing in FPGA design for radio communication systems. Education: Bachelor's in Electronic Engineering, University of Ancona, 1985 Research Interests: His work spans theoretical and applied telecommunications, including information theory, quantum entropy models, and signal processing for MIMO systems. Recent studies explore entropy in quantum systems and phase noise mitigation in communication channels. Professional Contributions: He advises on industry projects with Alcatel-Lucent, STMicroelectronics, and others. Binary Core, his venture, develops FPGA-based modems for terrestrial radio and digital video broadcasting. Teaching includes courses like Digital Communication Systems at Politecnico di Milano. Labs/Teams: Active in Politecnico's research groups addressing FPGA implementation, signal processing, and telecommunications infrastructure.

Gianni Antichiمشاهده پروفایل

مدرس ارشد

• Networks
• Computer Architecture
• Programmable Hardware
• +۳ مورد دیگر

Dr. Gianni Antichi is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, and an Associate Professor at Politecnico di Milano. His research focuses on network architecture, programmable hardware, and data plane optimization. He holds grants from EPSRC and Facebook Research, and has received multiple awards including Best Paper at SIGCOMM 2017. Antichi teaches modules on distributed systems, computer networks, and Internet protocols. Research Interests: End-host networking stacks, programmable hardware (SmartNICs/FPGA), network telemetry, data center optimization, and traffic analysis. His work spans from low-level data plane design to high-level network monitoring solutions. Key Awards: EPSRC New Investigator Award (2020), Facebook Networking Research Award (2020), Best Student Paper at EuroSys 2025, and ACM SIGCOMM Best Paper (2017). Grants & Projects: Leads NEAT (EPSRC-funded network telemetry project), and collaborates with industry on software data plane optimization. Active in mentoring PhD students and researchers in distributed systems and network hardware. Labs/Teams: Part of Queen Mary’s Centre for Networks, Communications and Systems, focusing on programmable networking and high-performance systems.

Johan Almeمشاهده پروفایل

استاد

• Particle Physics
• Detector Design
• Medical Imaging Technology
• +۳ مورد دیگر

Johan Alme is a Professor of Microelectronics at the Department of Physics and Technology, University of Bergen. He leads research on instrumentation for the ALICE experiment at CERN, focusing on detector design for the Forward Calorimeter (FoCal) and Inner Tracking System (ITS3). As program chair in physics, he drives curriculum reforms integrating programming into bachelor's courses and oversees initiatives like the Physics Room for active learning. He coordinates the UiB-led Proton CT project, developing medical imaging technology using CERN-derived sensors. As NORLHC-II project leader, he manages Norwegian contributions to CERN's detector and computing infrastructure. His research spans high-energy physics instrumentation, FPGA-based electronics, and technology transfer to medicine. Notable projects include FoCal's pixel layer readout systems, flexible sensors for ITS3, and proton CT's power management. Alme chairs conferences like TWEPP and NorCAS, and evaluates FPGA-related master's theses nationally. He actively engages in public outreach, delivering lectures on wireless communication, CERN's history, and career days for students. Recent publications emphasize detector modeling for proton therapy (e.g., silicon pixel charge collection) and femtoscopic studies in Pb-Pb collisions. His teaching awards reflect impactful pedagogical innovations, including LLM policy guidelines for academic integrity. Collaborations include international teams at CERN, Yale, and universities in Germany/Hungary. Key Roles: ALICE FoCal/ITS3 Coordinator, Proton CT Lead, NORLHC-II PI Teaching: PHYS223, PHYS298 (CERN internship), ELE350 (HVL) Awards: 2023/24 Realistutvalget Teacher of the Year

• Software-Defined Networking
• Cloud Computing
• Network Security
• +۴ مورد دیگر

Ameen Chilwan serves as an Assistant Professor in the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His office is located at Elektro A, A-262, Gløshaugen, with contact information including email ameen.chilwan@ntnu.no and phone +4746355118. Dr. Chilwan's research spans multiple domains in network technologies with particular expertise in software-defined networking (SDN), cloud computing infrastructure, and real-time internet services. His work demonstrates consistent evolution from foundational network architecture research toward contemporary applications in 5G edge clouds and smart grid systems. The interdisciplinary nature of his research bridges computer networking with energy systems and underwater communications. Analysis of his publication record from 2011-2024 reveals a clear progression from theoretical network modeling toward practical implementation challenges. Early work focused on OpenFlow-based SDN architectures (2012-2015), followed by expansion into cloud service availability (2011-2012), then underwater sensor networks (2014), and most recently machine learning applications for smart grids (2024). This trajectory demonstrates both technical depth in networking fundamentals and increasing breadth across application domains. Dr. Chilwan teaches courses including DCSG2001 - Sammenkoblede nettverk og nettverkssikkerhet, TTM4180 - Nettverkshåndtering, and DCSG1006 - Datakommunikasjon og nettverk, reflecting his expertise in network security, management, and communications. His academic service includes outreach activities through conference presentations and academic lectures at international venues including EUNICE, FIT, and ICCCN.

• Radiation Hardening
• Fault-Tolerant Systems
• Microelectronics
• +۵ مورد دیگر

Mario Garcia Valderas is an Associate Professor at the Department of Electronic Technology, Universidad Carlos III de Madrid. He holds roles as Coordinator of the Electronic Technology program and Deputy Director of Infrastructure and Laboratories. His research focuses on radiation-hardened systems, fault-tolerant architectures, and embedded systems for aerospace and space applications. His work emphasizes reliability in microelectronics and FPGA-based solutions, addressing challenges like single-event effects in space and high-reliability computing. Key areas include RISC-V processors, heterogeneous computing, and hardware-software co-design for planetary exploration instruments. Publications highlight advancements in radiation-hardening techniques, error detection/recovery architectures, and fault-injection methodologies. Over 100 peer-reviewed articles and book chapters evidence his contributions to microelectronics and embedded systems reliability. He leads the Microelectronic Design and Applications (DMA) research group and collaborates with institutions like CNA for combined irradiation testing. His research spans from theoretical design hardening to practical implementations in aerospace-grade electronics.

• Telecommunications
• Electronics
• Computer Engineering
• +۳ مورد دیگر

Enrique San Millán Heredia is an Associate Professor in the Department of Electronic Technology at Universidad Carlos III de Madrid. He serves as Subdirector of Academic Planning for the Department and is affiliated with the Microelectronic Design and Applications (DMA) research group. His teaching responsibilities include subjects like Computer Science, Electronics, Mechanical Engineering, Nuclear Energy, Optics, and Telecommunications. His research focuses on telecommunications hardware implementations, embedded systems, information security, and radiation-hardened electronics. Notable contributions include work on OFDM-based VLC systems, FPGA performance evaluation, and TRNG security for IoT devices. Publicly listed publications span from 2018 to 2023, with recent emphasis on optical communication innovations. Dr. San Millán's work bridges theoretical design with practical hardware solutions, addressing challenges in real-time signal processing and secure communication protocols. His research has direct applications in aerospace, IoT systems, and next-generation telecommunications infrastructure.

Ana Goulartمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Smart Grid Security
• VoIP and Signaling Protocols
• +۷ مورد دیگر

Ana Goulart is a Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. Her primary research focuses on cyber-physical systems, smart grid security, and emergency communications protocols like NG-9-1-1. She holds a Ph.D. in Electrical and Computer Engineering from Georgia Institute of Technology (2005), alongside multiple master's and bachelor’s degrees in engineering and management. Her research interests span internet telephony (VoIP), IP-based emergency systems, session initiation protocol (SIP), and testbed-driven network performance analysis. Notable projects include developing scalable simulation tools for cyber-physical energy systems and enhancing grid resilience through AI-driven detection and reinforcement learning. Recent publications (2023–2025) emphasize cyber-physical security, anomaly detection via machine learning, and multi-stage attack mitigation. She has received prestigious awards such as the Corrie & Jim Furber Faculty Fellowship (2011–2012) and Eugene E. Webb Faculty Fellowship (2010). Her work integrates academic and industry collaboration, exemplified by projects like the AMAR autonomous agricultural robot and firewall optimization for smart grid networks. She also contributes to engineering education through active learning initiatives and capstone design curricula.

Joseph R. Cavallaroمشاهده پروفایل

استاد

• VLSI Signal Processing
• Wireless Communication Systems Architectures
• VLSI Systems Design and Prototyping
• +۳ مورد دیگر

Joseph R. Cavallaro is a Professor in the Department of Electrical and Computer Engineering and holds a courtesy appointment in the Department of Computer Science at Rice University. He serves as Director of the Center for Multimedia Communications. His research focuses on VLSI processor architectures, wireless communication systems, and high-speed computer arithmetic. Cavallaro joined Rice in 1988 and has contributed extensively to advancements in special-purpose VLSI systems for signal processing, robotics, and computer graphics. Education: B.S. Electrical Engineering, University of Pennsylvania (1981) M.S. Electrical Engineering, Princeton University (1982) Ph.D. Electrical Engineering, Cornell University (1988) Research Interests: Special-purpose VLSI architectures for signal processing Wireless communication systems design Low-power and high-throughput LDPC decoders Hardware acceleration for neural networks RF fingerprint identification for IoT security Key Achievements: IEEE Fellow (2015) for contributions to VLSI architectures and wireless communications Recipient of the NSF Research Initiation Award (1989-1992) IEEE Circuits and Systems Society Distinguished Lecturer (2012-2013) Advising & Grants: Principal Investigator for NeTS: BRICK grant (2017) Collaborative Research: BAMM grant (2014) Guided research in FPGA-based accelerators, massive MIMO systems, and biomedical signal processing Labs & Teams: Leads the Center for Multimedia Communications and collaborates on projects involving VLSI design, edge computing, and medical signal processing.

Tanya Vladimirovaمشاهده پروفایل

استاد

• Embedded Systems
• Artificial Intelligence
• Space Systems Engineering
• +۵ مورد دیگر

Professor Tanya Vladimirova is a Professor of Electronic and Computer Systems Engineering at the University of Leicester, affiliated with the School of Engineering's Mathematical Sciences department. Her research focuses on custom computing for edge intelligence, embedded systems design, and space-based applications. She pioneered innovations in satellite computing systems, including reconfigurable on-board computers, fault-tolerant designs, and FPGA-accelerated image processing. Her work integrates AI, digital signal processing, and hardware acceleration for applications in autonomous vehicles, spacecraft, and IoT. Key achievements include the first FPGA-based on-board hyperspectral image compression systems, fault-tolerant distributed computing frameworks for satellites, and self-healing distributed intra-satellite systems. Current projects explore machine learning for satellite reliability and autonomous vehicle vision systems. Prior to Leicester, she led a globally recognized group at the Surrey Space Centre, collaborating with Surrey Satellite Technology Limited (SSTL). Her research spans satellite miniaturization, wireless sensor networks for planetary exploration, and radiation-hardened computing. Her publications address challenges in satellite data processing, fault tolerance, and embedded AI. Notable contributions include novel algorithms for landmine detection, radiation mitigation strategies for FPGAs, and adaptive middleware for distributed space systems. Her work bridges theoretical computing with practical aerospace engineering, emphasizing resilience and efficiency in hostile environments.

• Computer Architecture
• High-Performance Computing
• Network-on-Chip (NoC)
• +۷ مورد دیگر

Vassilis D. Papaefstathiou is a researcher in computer architecture and high-performance computing, affiliated with the Department of Computer Science at the University of Crete and the Institute of Computer Science at FORTH-ICS. His work focuses on energy-efficient manycore systems, network-on-chip design, FPGA prototyping, and RDMA-based communication. His educational background includes a Ph.D. (2013), M.Sc. (2005), and B.Sc. (2002), all from the University of Crete. His research spans advanced topics in computer systems, including hybrid memory management, cache optimization, and scalable interconnects. His research interests include Computer Architecture , Network-on-Chip (NoC) , Reconfigurable Computing , Energy-Efficient Computing , RDMA , and High-Performance Computing . He has made significant contributions to FPGA-based prototyping of manycore systems and low-latency interconnects. His recent publications demonstrate a strong trend in optimizing on-chip networks, memory hierarchies, and communication mechanisms for performance and energy efficiency. Key areas include dual data-rate NoCs, hybrid memory systems with intelligent data migration, and RDMA-enhanced architectures. His work often integrates hardware-software co-design principles for scalable and efficient computing. HiPEAC Paper Award (2012) HiPEAC Paper Award (2016) HiPEAC Paper Award (2017) HiPEAC Paper Award (2020) Best Paper Award Finalist at IEEE/ACM NOCS 2018 He has advised several researchers and students, including Antonis Psistakis, Evangelos Vasilakis, and Ahsen Ejaz, who have co-authored significant publications with him. His collaborative projects include SARC, ExaNeSt, and ECOSCALE, often funded by EU initiatives or research councils. These projects focus on next-generation HPC systems, reconfigurable computing, and scalable architectures. He is a key contributor to the Formic FPGA prototyping platform and has worked extensively on RDMA-capable NICs, cache-integrated network interfaces, and virtualized communication systems. His work is deeply embedded in international research consortia and high-impact venues.

• Integrated Circuit Design
• Low Power Design
• Mixed-Signal Testability
• +۱۲ مورد دیگر

Ali Muhtaroğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His research spans integrated circuit design, energy systems, and computer architecture, with a strong emphasis on low-power, high-performance, and sustainable technologies. His research interests include: Integrated Circuit Design: Power delivery, mixed-signal testability, high-volume manufacturing (HVM), and low-power IC design. Energy Systems: Renewable energy integration, energy scavenging, thermoelectric and photovoltaic systems, and sustainable power management for mobile computing. Computer Architecture: Low-power architectures, parameterized designs using VHDL, FPGA-based implementations, and specialized computing systems such as Cellular Automaton Processors. His recent publications (2004–2009) reflect a consistent focus on solving practical engineering challenges in power integrity, testability, and energy efficiency. These works demonstrate innovation in on-die droop detection, AC I/O loopback testing, hybrid thermoelectric conversion, and solar integration in portable devices, indicating a trajectory toward sustainable and high-performance computing systems. He is actively involved in the Renewable Energy Design and Applications Research (REDAR) group, where interdisciplinary efforts have led to the development of a self-powered solar radiation measurement system. This supports empirical studies on sustainable power management. While no formal advising or grant information is available, his research output suggests leadership in applied electronics and energy systems. His work bridges semiconductor design, power electronics, and system-level optimization, contributing to advancements in mobile and embedded computing technologies.

Abdelrahman Husseinمشاهده پروفایل

پژوهشگر

• Computer Architecture
• Systems
• Domain-Specific Accelerators
• +۶ مورد دیگر

Abdelrahman Hussein is a PhD student and Graduate Research Assistant at the School of Computing Science, Simon Fraser University since 2024, advised by Prof. Alaa Alameldeen. His research focuses on optimizing microarchitecture structures for heavily multithreaded workloads in data centers. PhD in Computing Science, Simon Fraser University (2024–Present) MSc in Computing Science, Simon Fraser University (2021–2024) Diploma in Digital Systems Design, Information Technology Institute, Egypt (2017–2018) BSc in Computer Engineering, Mansoura University, Egypt (2012–2017)

Anders Blomdellمشاهده پروفایل

استاد

• Control Systems
• Real-Time Systems
• Embedded Systems
• +۷ مورد دیگر

Anders Blomdell is a Professor in the Department of Control Engineering at the Faculty of Engineering, Lund University. His work bridges theoretical control systems with practical applications in real-time, embedded, and cloud-based environments. He is actively involved in research projects focusing on autonomous systems, industrial automation, and networked control. His research interests include Control Systems , Real-Time and Embedded Systems , Networked Control , Industrial Automation , Robotics , and Cloud-Controlled Systems . These areas reflect his focus on scalable, adaptive, and secure control solutions for complex, interconnected systems. The recent publications highlight a strong trend toward event-based control , large-scale optimization , autonomous adaptation , and secure cloud integration . His work often combines control theory with computer science, particularly in distributed and real-time settings, showing a consistent effort to address challenges in latency, scalability, and robustness. Scientific Awards: Advising and Grants: While specific students are not listed, Anders Blomdell leads and participates in major research initiatives such as WASP, ELLIIT, and the Nordic University Hub on Industrial Internet of Things (HI2OT). These projects involve significant funding and collaboration with industry and academia, indicating active mentorship and leadership in training next-generation researchers. Labs and Teams: He is associated with RobotLab LTH and contributes to the development of tools like TrueTime and LabComm , which are widely used in real-time and networked control research. His work supports both academic and industrial innovation in automation and intelligent systems.

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +۵ مورد دیگر

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

• Space Instrumentation
• Satellite Systems Engineering
• Radiation Effects in Electronics
• +۳ مورد دیگر

Manuel Prieto Mateo is a Professor at the Department of Automática, Universidad de Alcalá, Spain. He leads the Space Research Group (SRG-UAH), focusing on space instrumentation design, radiation effects in space electronics, and solar particle physics. His work integrates FPGA-based systems for space applications, including contributions to the Solar Orbiter mission’s Energetic Particle Detector (EPD). He holds a PhD from Universidad de Alcalá (2005) on satellite instrumentation control systems, advised by Dr. Daniel Meziat Luna. Research interests include spaceborne data management, thermal monitoring in Antarctic environments, and COTS component qualification for space. His projects involve collaborations with ESA/NASA and Antarctic observatories. Key contributions span radiation-hardened electronics, digital beamforming architectures, and space weather monitoring systems. Notable achievements include developing the SIDRA instrument for space radiation measurement, co-designing the EPD’s hardware/software systems, and pioneering thermal/permafrost studies at Livingston Island. He has published extensively on solar energetic particles, Antarctic geophysics, and FPGA implementations in space systems since 2001. Education: PhD in Physics/Space Instrumentation (Universidad de Alcalá, 2005). Research Labs/Groups: SRG-UAH Space Research Group, Antarctic PERMASNOW project, Solar Orbiter EPD team.