جست‌وجوی استاد و پژوهشگر

• Digital Signal Processing
• Wavelet Transform
• Remote Laboratories
• +۳ مورد دیگر

Dr. Đorđe Damnjanović is an Assistant Professor at the Department of Computer and Software Engineering within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . He specializes in digital signal processing, wavelet transform applications, and remote laboratory development for engineering education. Born: July 17, 1986, Belgrade Education: B.Sc. (2010), M.Sc. (2011), Ph.D. (2022) in Electrical and Computer Engineering His research focuses on audio signal analysis using wavelets, human-computer interaction , and remote experimentation systems. He has led projects like the NeReLa Tempus Network and contributed to blockchain consensus mechanisms . Publications span biomedical signal processing, noise reduction, and educational technology. Recent work includes 2025 studies on vehicle vibration analysis and 2024 papers on mobile earthquake detection. He teaches Signals and Systems , Digital Signal Processing , and Human-Computer Interaction at graduate and postgraduate levels.

• Edge Computing
• Vehicular Networks
• Network Protocols
• +۳ مورد دیگر

Nawaz Ali is a Lecturer in the Department of Computer Engineering, Modeling, Electronics and Systems at the University of Calabria. His research focuses on edge computing, vehicular networks, and FPGA-based hardware acceleration, with applications in intelligent transportation systems and healthcare telematics. University of Calabria Department of Computer Engineering, Modeling, Electronics and Systems Research Interests: Specializing in edge-cloud continuum computing, mobility-aware routing protocols, and vehicular edge intelligence. His work bridges theoretical modeling with practical implementations in network optimization and hardware development. Recent Contributions: Developed enhanced simulators for urban vehicular edge environments, pioneered proximity-aware federated learning frameworks, and created GUI tools for optical signal compensation. His research also spans cognitive radio spectrum sensing and secure task scheduling in mobile edge clouds.

• Geothermal Energy
• Thermal Engineering
• Biomass Drying
• +۳ مورد دیگر

Pedro José Casanova Peláez serves as a University Professor in the Department of Electronic and Automatic Engineering at the University of Jaen, Spain. His research activities are centered within the Mechanical and Energy Engineering research group, where he investigates thermal processes and renewable energy systems with emphasis on sustainable industrial applications. His academic foundation includes a PhD from the University of Jaen (2009), awarded for his thesis "Contribution to the analysis and modeling of the drying process of wet olive pomace" under the supervision of Dr. Fernando A. Cruz Peragón and Dr. José Manuel Palomar Carnicero. Dr. Casanova's research program integrates geothermal energy systems and biomass processing technologies. He has pioneered experimental methodologies for vertical ground heat exchangers, developing advanced thermal response testing protocols and uncertainty quantification frameworks. Concurrently, his work on olive oil industry byproducts focuses on drying kinetics of olive pomace and olive stone, establishing critical parameters for moisture diffusivity and energy-efficient biomass valorization. These dual research streams converge in sustainable energy recovery systems for agricultural waste. Analysis of his publication trajectory reveals a strategic shift toward geothermal engineering since 2020, with five high-impact papers on thermal response functions and heat exchanger characterization. This complements his foundational work on biomass drying (2008-2019), demonstrating consistent expertise in experimental thermal engineering across multiple renewable energy domains. His laboratory contributions include the development of specialized equipment such as experimental rotary dryers for olive stone processing, ground thermal response test devices, and FPGA-based solar tracking systems. These innovations reflect his hands-on approach to bridging theoretical modeling with practical engineering solutions for renewable energy implementation.

• Physical Channel Modeling
• Communication Channel Characterization
• Fading Channels
• +۷ مورد دیگر

Almir Marić is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He earned his Bachelor's, Master's, and PhD degrees in Telecommunication Engineering from the same university in 2010, 2013, and 2020, respectively. His academic activities focus on wireless communication channels and network modeling. Bachelor's in Telecommunication Engineering (2010) Master's in Telecommunication Engineering (2013) PhD in Telecommunication Engineering (2020) Marić's research explores physical channel modeling , communication channel characterization , and fading channel analysis . He develops geometric-based stochastic channel models and works on network simulators for emerging technologies like 5G. His recent work integrates quantum cryptography into modern communication frameworks. His publications reveal a focus on digital communication , network security , and signal processing . Key topics include TWDP fading models , Nakagami-m distribution , and SDN programmability . Collaborative efforts with researchers like P. Njemcevic and E. Kaljic appear across multiple domains. Best Paper Award at MCSS'17 conference Marić teaches courses on Mobile Communications , RF Circuit Design , and Teletraffic Theory , contributing to both theoretical and practical aspects of telecommunications education.

• Software-Defined Networking (SDN)
• Network Security
• Reconfigurable Communication Systems
• +۶ مورد دیگر

Enio Kaljić is an Associate Professor at the Department of Telecommunications, Faculty of Electrical Engineering, University of Sarajevo. He has been actively contributing to academic and research activities since 2010. Education: Telecommunications (B.Sc., M.Sc., Ph.D.) - University of Sarajevo Research Focus: His work centers on Software-Defined Networking (SDN), network security, FPGA-based communication systems, and programmable data planes. Key areas include quantum cryptography integration in 5G networks, Bloom filter optimizations for SDN switches, and hybrid FPGA/CPU network architectures. Publication Trends: Recent works explore quantum key distribution protocols, blockchain applications in 5G/6G networks, and statistical modeling of wireless channels. His research bridges theoretical analysis with practical implementations. Scientific Recognition: Best Paper Award (ThinkMind) Project Leadership: He has led grants in quantum cybersecurity, 6G network decentralization, programmable networks, and IoT development tools. Funding sources include NATO Science for Peace and Security Programme, Bosnian Ministries, and Erasmus+. Laboratory Contributions: Involved in establishing reconfigurable radio communication labs and multidisciplinary telecommunications laboratories at the University of Sarajevo.

• MPSoC Architecture
• Memory Hierarchies
• Hardware Prefetching
• +۳ مورد دیگر

Oliver Lenke is a Scientific Assistant at the Chair of Integrated Systems , Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology . He completed his Bachelor’s (2015-2018) and Master’s (2018-2020) in Electrical Engineering at TUM and has been a PhD student since 2020 . His research focuses on MPSoC architectures , memory hierarchies , hardware preloading mechanisms , and FPGA-based system prototyping . His recent publications address topics like near-memory computing , cache prefetching , and runtime adaptive MPSoCs . He supervises students in projects involving VHDL coding , C programming , and MPSoC optimization , collaborating with industry partners such as Infineon AG , BMW AG , and Huawei . His work includes developing non-intrusive performance monitoring frameworks and dynamic memory preloading solutions .

Marco Liessمشاهده پروفایل

پژوهشگر

• SmartNIC Development
• 6G Networking
• FPGA-based Networking
• +۴ مورد دیگر

Marco Liess serves as a Scientific Staff Member and doctoral candidate at the Chair of Integrated Systems within the TUM School of Computation, Information and Technology. His work focuses on hardware aspects of network interfaces and processing resources, with particular emphasis on SmartNIC development for next-generation networking systems. The chair participates in multiple research initiatives including the 6G Future Lab Bavaria and 6G Life projects. Dr. Liess holds a Master of Science in Electrical Engineering and Information Technology from TUM (2019-2021), with specialization in Embedded and Control Systems. His master's thesis on 'Frame Synchronization for Satellite-based IoT Applications' was completed at the German Aerospace Center (DLR). Previously, he earned a Bachelor of Science in the same field (2016-2019), focusing on Communication Networks, Embedded Systems, and Security, with his bachelor's thesis on 'Efficient Key Establishment for IoT Applications' conducted at Fraunhofer AISEC. His research primarily investigates hardware acceleration of data paths between network interfaces and processors, memory bottleneck avoidance, dynamic power management, and efficient hash algorithms. These interests align with current 6G research directions focusing on deterministic real-time processing for mission-critical applications. His work bridges hardware design (particularly FPGA implementations), operating system interactions, and networking protocols to create energy-efficient, high-performance network processing solutions. Analysis of his publication record reveals strong focus on SmartNIC architectures, with consistent contributions to major conferences in networking and computer architecture. His work demonstrates progression from satellite IoT communications toward advanced packet processing pipelines and real-time networking solutions for 6G infrastructure. Key themes include hardware-software co-design, power efficiency, and deterministic performance guarantees for time-sensitive networking applications. As an academic supervisor, Dr. Liess actively mentors students through various thesis projects ranging from FPGA-based network testers to Linux scheduler optimizations. His teaching responsibilities include 'Chip Multicore Processors' since SS 2024 and previously supervised 'Seminar Integrierte Systeme' and 'Seminar on Topics in Integrated Systems' from WS 2022/23 to WS 2023/24. Current projects under his supervision address critical challenges in 100Gbps networking, hardware tracing mechanisms, and server state tracking using SmartNIC technology.

• Computer Architecture
• Operating Systems
• Hardware/Software Co-Design
• +۳ مورد دیگر

Lars Nolte is a Researcher at the Chair of Integrated Systems (Lehrstuhl für Integrierte Systeme) at the Technical University of Munich, where he conducts cutting-edge research in computer architecture and operating systems with a focus on hardware acceleration for Linux kernel mechanisms using FPGA platforms. His primary research areas include Computer Architecture, Operating Systems, Hardware/Software Co-Design, Embedded Systems, FPGA Acceleration, and Linux Kernel Development. He investigates hardware-assisted solutions for inter-process communication, event notification, and thread synchronization to reduce latency in real-time systems, primarily through the PASSTA project which develops FPGA-based accelerators for Linux syscall optimization. Nolte's recent publications demonstrate a clear trend toward hardware-software co-design for Linux performance enhancement, with 10 publications since 2019 focusing on FPGA-accelerated kernel features like futex, epoll, and IPC. His work bridges computer architecture and systems software, targeting embedded and high-performance computing applications. He actively supervises student research, having guided numerous Bachelor's, Master's, and research internships on topics including hardware-accelerated Linux mechanisms, network processing, and tracing systems. Notable advisees include Maximilian Grözinger (Hardware Assisted Futex) and Jonas Kirf (Inter-Process Communication survey). The Chair of Integrated Systems, led by Prof. Andreas Herkersdorf, provides Nolte's collaborative research environment focused on integrated systems for cellular communications and embedded applications, with facilities including FPGA labs and Gem5 simulation infrastructure.

Daniel Cocaمشاهده پروفایل

استاد

• Nonlinear and Complex Dynamical Systems
• Complex Systems Modelling, Identification and Control
• Bioimaging and Biological Data Analysis
• +۲ مورد دیگر

Professor Daniel Coca is an Honorary Professor of Nonlinear and Complex Systems in the School of Electrical and Electronic Engineering at the University of Sheffield, specializing in mathematical and computational methods for complex dynamical systems across physics, engineering, life sciences, and finance. Education: MEng PhD Research Interests: His work focuses on nonlinear and complex dynamical systems with applications in stem cell population dynamics, crystal growth, brain activity, solar wind-magnetosphere interaction, and financial markets. He develops advanced techniques in bioimaging (diffuse optical tomography, protein identification) and reconfigurable computing (FPGA hardware acceleration for proteomics and control algorithms), while advancing nonlinear control theory for PDEs and predictive systems. Publications: Recent work (2016-2020) demonstrates expertise in inverse problems for dynamical systems (Frobenius-Perron operator solutions), spiking neural network modeling (liquid state machines, sensory circuit identification), and interdisciplinary applications including urban air quality monitoring, stem cell characterization, and fly vision neuroscience. His publications span high-impact journals in computational neuroscience, environmental engineering, and nonlinear dynamics. Grants: Professor Coca has secured substantial funding from EPSRC, BBSRC, and MRC, including £2.1M for the Urban Flows Observatories, £530k for Digital Fly Brain, and multiple FPGA proteomics projects. His £4M+ apportioned grant portfolio covers digital built Britain, stem cell dynamics, and neuroimaging systems.

Jack Forresterمشاهده پروفایل

پژوهشگر ارشد

• Piezoelectrics
• Power Conversion
• Passive Component Design
• +۳ مورد دیگر

Dr Jack Forrester is an Academic Fellow at the School of Electrical and Electronic Engineering, University of Sheffield. He coordinates student-led projects like Sheffield Formula Racing and teaches undergraduate modules EEE228 (Design Project) and EEE229 (Electrical Energy and Conversion). Qualifications include a PhD in Piezoelectric Transformers for Resonant Converter Applications (University of Sheffield, 2021) MEng in Electronic and Electrical Engineering (University of Sheffield, 2017) His research focuses on piezoelectric devices , resonant power conversion , passive component design , FPGA-based control systems , and instrumentation for sporting equipment . He has led EPSRC-funded projects on piezoelectric transformer design and plasma microreactor applications. Dr Forrester supervises undergraduate and postgraduate projects in power electronics, wireless power transfer, and remote control systems. He currently serves as the electrical academic lead for the Sheffield Formula Racing team, guiding their transition from internal combustion to electric vehicles for the 2026 Formula Student competition.

Donatella Sciutoمشاهده پروفایل

استاد

• Embedded systems
• Multiprocessor System on Chip
• Reconfigurable systems
• +۵ مورد دیگر

Donatella Sciuto is a Full Professor in Computer Engineering at the Department of Electronics and Information of Politecnico di Milano, where she conducts research in System Architectures. She serves as Deputy Director of Education at CEFRIEL, managing executive company education training programs. Her academic career spans multiple leadership roles in professional organizations including the Council of EDA (CEDA) where she served as VP of Finance (2008-2009) and is currently President Elect. Her research focuses on embedded systems design methodologies, with particular expertise in Multiprocessor System on Chip, reconfigurable systems, hardware/software co-design, and design space exploration techniques. She leads the Embedded Systems Design and Design Methodologies research group (sagroup.elet.polimi.it) and has contributed significantly to the field of Electronic Design Automation. Her publication record shows a consistent focus on reconfigurable computing and MPSoC design, with recent work emphasizing dynamic reconfiguration techniques, hardware/software synchronization in multiprocessor systems, and optimization algorithms for heterogeneous architectures. Her research demonstrates a progression from foundational work in embedded systems to more complex system-level design methodologies for modern reconfigurable architectures. She has held editorial positions with prestigious journals including IEEE Transactions on Computers, Journal of Design Automation of Embedded Systems, and IEEE Embedded Systems Letters. She has served on program committees for major conferences including DAC, ICCAD, DATE, and CODES+ISSS, and has held leadership roles including Publications Chair for IEEE/ACM ESWEEK 2007 and Co-General Chair of ESWEEK 2009. Prof. Sciuto has advised more than 10 PhD students and currently mentors 4 PhD candidates at Politecnico di Milano. She teaches courses in Computer Architecture, Operating Systems, and High Performance Processors and Systems. She has published 5 teaching books in Italian across multiple editions and maintains active research collaborations through European and national research projects she coordinates.

Zhishan Guoمشاهده پروفایل

دانشیار

• Real-Time Scheduling Theory
• Machine Learning Theory
• Cyber-Physical Systems
• +۵ مورد دیگر

Zhishan Guo is an Associate Professor in the Department of Computer Science at North Carolina State University, affiliated with the College of Engineering and the Operations Research Graduate Program. His research bridges real-time scheduling theory, machine learning theory, and cyber-physical systems. Ph.D., Computer Science, UNC-Chapel Hill (2016) M.Phil., Mechanical and Automation Engineering, The Chinese University of Hong Kong (2011) B.E., Computer Science and Technology, Tsinghua University (2009) Guo's work spans embedded and real-time systems, parallel/distributed systems, and healthcare information technology, with a focus on integrating machine learning into real-time scheduling and cyber-physical systems. Recent publications highlight advancements in neural network-based scheduling, adversarial defense mechanisms, and healthcare diagnostics for embedded systems. His scientific honors include the ACM SIGBED CAREER Award (2023), Best Paper Awards at RTSS (2023), ICIST (2023), and RTAS (2025), alongside the Humboldt Fellowship (2024). Guo's research is supported by grants from the National Science Foundation and NHK International Corporation, addressing scalable heterogeneous computing and intelligent robotics.

Jorge Portillaمشاهده پروفایل

دانشیار

• Embedded System Design
• Wireless Sensor Networks
• Internet of Things
• +۱ مورد دیگر

Jorge Portilla is an Associate Professor at Universidad Politécnica de Madrid (UPM), Spain, with a career spanning from 2006 as Assistant Professor to his current role since 2021. He holds a M.Sc. in Physics (2003, Universidad Complutense de Madrid) and a Ph.D. in Electronic Engineering (2010, UPM). Education : M.Sc. in Physics, Universidad Complutense de Madrid (2003) Ph.D. in Electronic Engineering, Universidad Politécnica de Madrid (2010) Research Focus : Jorge's work centers on digital embedded systems, emphasizing wireless-sensor networks, Internet of Things (IoT), and FPGA-based reconfigurable architectures. His research explores efficient hardware-software co-design for smart systems and adaptive computing environments. Career Trajectory : He transitioned from Assistant Professor (2006-2021) to Associate Professor (2021-present) at UPM, maintaining a focus on electronics and embedded systems education.

• Tactile Sensors
• Resistive Sensor Arrays
• FPGA-Based Electronics
• +۳ مورد دیگر

Óscar Oballe-Peinado is affiliated with the University of Málaga, where he contributes to research in tactile sensor electronics, FPGA-based embedded systems, and robotics. His work focuses on improving sensor readout accuracy, mitigating crosstalk, and developing remote educational laboratories for digital electronics. His research spans tactile sensor arrays, calibration methods, and proximity sensing in robotics. Key keywords include Tactile Sensors , FPGA , Embedded Systems , Robotics , Sensor Calibration , and Signal Processing . Articles from 2009–2024 highlight his expertise in tactile sensor hardware, hysteresis correction, and educational innovations. He has also contributed to remote teaching tools for digital electronics and has co-authored papers on sensor fusion and compliance recognition in robotic manipulation.

Ian Groutمشاهده پروفایل

دانشیار

• Mixed-Signal Integrated Circuit Design
• Test Technology Education
• Mechatronics
• +۵ مورد دیگر

Ian Grout serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland, and is affiliated with the Optical Fibre Sensors Research Centre. His academic career spans over 25 years with continuous research output since 1994, focusing on hardware design and engineering education methodologies. His educational background includes: Ph.D. in Electronic Engineering from Lancaster University (awarded 1994) B.Eng. in Electronic Engineering from Lancaster University (awarded 1991) Dr. Grout's research integrates Mixed-Signal Integrated Circuit Design, Test Technology Education, and Sensor System Design using FPGAs with innovative educational approaches. His work bridges theoretical hardware development and practical implementation, particularly in remote laboratory experimentation and mechatronics systems. The fingerprint analysis of his 152 publications reveals dominant expertise in Field Programmable Gate Arrays (100%), Computer Hardware (61%), and Application Specific Integrated Circuit design (61%), with significant contributions to Teaching and Learning methodologies (56%). Recent publications (2023-2024) demonstrate a clear trajectory toward optimizing hardware testability for emerging architectures like processing-in-memory cores while advancing educational tools for embedded systems programming. His work shows increasing integration of machine learning concepts with traditional circuit design and a sustained focus on practical educational implementations through European collaborations like the Erasmus+ DIG-SENSING program. Professional engagements include active membership in the Institution of Engineering and Technology (IET), International Microelectronics and Packaging Society (IMAPS), and service on the UK EPSRC Peer Review College. He previously chaired the Educational ECAD User Group (EEUG) from 2001-2002 and maintained committee membership until 2005. At the University of Limerick, Dr. Grout contributes to the Optical Fibre Sensors Research Centre where his FPGA-based sensor system designs support advancements in optical sensing technologies. His current work involves developing remote laboratory frameworks for electrical engineering education while maintaining active research in integrated circuit test methodologies.