جست‌وجوی استاد و پژوهشگر

Juan Carlos Lópezمشاهده پروفایل

استاد

• Embedded System Design
• Distributed Computing
• Advanced Communication Services
• +۷ مورد دیگر

Juan Carlos López is a Professor of Computer Architecture at the University of Castilla-La Mancha (UCLM), where he has been employed since 1999. He previously served as Dean of the School of Computer Science from 2000 to 2008 and is currently the Director of the Indra Chair at UCLM. He is also Head of the ARCO (Computer Architecture and Networks) Group. Dr. López received his MS and Ph.D. degrees in Telecommunication (Electrical) Engineering from Technical University of Madrid in 1985 and 1989, respectively. From September 1990 to August 1992, he was a Visiting Scientist in the Department of Electrical and Computer Engineering at Carnegie Mellon University. From 1989 to 1999, he served as an Associate Professor of Electrical Engineering at Technical University of Madrid. His research activities center on embedded system design, distributed computing, and advanced communication services. His work spans Internet of Things (IoT), edge computing, computer vision applications, and health monitoring systems. He has co-founded a startup company focused on control and communication systems for metropolitan transportation, serving as CTO from 1992 to 1997. Analysis of his recent publications (2023-2025) reveals a strong focus on practical edge computing applications, particularly in agriculture (olive fly detection) and healthcare (fall detection for elderly). His work demonstrates expertise in FPGA-based hardware acceleration, IoT context reasoning, and astronomical instrumentation. His research bridges theoretical computer architecture with real-world applications in smart cities, precision agriculture, and assistive technologies for aging populations. Member of IEEE, ACM and ATI professional organizations Spanish Representative at IFIP TC10 (Computer Systems Technology) Dr. López has led numerous national and international projects funded by EU, NATO, and private companies including Indra and Telefónica. His Indra Chair position since 2006 demonstrates sustained industry collaboration. He has served on panels for the Spanish National Science Foundation and Ministry of Education and Science regarding Information Technologies research programs. From 2004 to 2009, he coordinated the Doctoral Education Program of the Ministry of Science and Innovation in the area of Information Technologies. He directs the ARCO Research Group, which focuses on Computer Architecture and Networks, with particular emphasis on embedded systems, energy-efficient computing, and IoT applications. His team has developed innovative solutions for smart cities, healthcare monitoring, and precision agriculture, often leveraging FPGA technology for hardware acceleration.

Carsten Trinitisمشاهده پروفایل

استاد

• High Performance Computer Architectures
• Microprocessor Architectures
• Co-design
• +۵ مورد دیگر

Prof. Dr. Carsten Trinitis is a full professor at the Chair of Computer Architecture & Parallel Systems within the TUM School of Computation, Information and Technology. Specializing in high-performance computer architecture with a unique focus on spaceflight applications and informatics ethics, he leads the 'Gesellschaft für Informatik und Ethik' (Society for Informatics and Ethics). Ph.D. in Electrical Engineering from TUM (1998) Industry experience before returning to academia Former Assistant Professor in History of Science (2002-2010) at Universität der Bundeswehr München Full Professor of Distributed Computing at University of Bedfordshire (2010-2014) His research spans three major domains: High-Performance Computing: Focused on microprocessor architectures, hardware-oriented optimizations, and co-design approaches. Recent work includes GPU power capping strategies and Data Distribution Service (DDS) middleware enhancements. Space Systems: Pioneering computer architectures for nanosatellites with projects like MOVE-II mission and MicroPython-based satellite control systems. Digital Ethics: Through his 'Gewissensbits' initiative, he explores ethical decision-making frameworks for technology and contributes to the German Informatics Society's ethical guidelines. Key publication trends show interdisciplinary work connecting: HPC systems and edge AI applications FPGA-based verification and RISC-V processors Time series analysis at petascale performance Hardware-software co-design for extreme environments Continued emphasis on ethical computing frameworks Scientific Recognition: TeachInf Award for Outstanding Teaching (2023) Hans Meuer Award for Best Paper (2020) ZARM Master Thesis Awards (2016, 2017) Prof. Trinitis leads multiple research projects including: SEANERGYS (EuroHPC) - Energy-efficient computing systems PlasmaPEPS - Plasma physics simulation environments OpenCUBE - Open computing frameworks for space MUNIQC-ATOMS - Quantum computing integration

• Side-channel attacks
• Post-Quantum Cryptography
• Cryptographic implementations
• +۳ مورد دیگر

Thomas Schamberger is a Researcher at the Chair of Information Security at Technical University of Munich, working under Prof. Dr.-Ing. Georg Sigl. He is based at Theresienstr. 90 in Munich and maintains an active research profile in cryptographic security with numerous publications spanning from 2018 to 2023. His primary research interests focus on side-channel attacks (particularly power analysis and electromagnetic analysis) targeting post-quantum cryptographic systems . He investigates efficient and secure implementations of post-quantum algorithms and develops countermeasures against side-channel vulnerabilities. His work bridges theoretical cryptography with practical hardware implementations. Analysis of his publication record from 2018-2023 reveals a strong focus on post-quantum cryptography security, with particular attention to NTRU, HQC, and Kyber cryptosystems. His research consistently addresses both attack methodologies (side-channel and fault attacks) and defensive countermeasures (masking techniques, DOMREP). The publications demonstrate expertise spanning hardware implementations, microcontroller security, and machine learning applications in side-channel analysis. While no specific scientific awards are mentioned in the available information, his work appears in prestigious venues including IEEE Transactions on Information Forensics and Security, IACR Transactions on Cryptographic Hardware and Embedded Systems, and major international conferences like CBCrypto and COSADE. Thomas actively supervises student research, offering opportunities for bachelor's and master's theses in his research areas. His position at the Chair of Information Security places him within TUM's broader research ecosystem focused on hardware security, cryptographic implementations, and countermeasures against physical attacks.

• Embedded Machine Learning
• System-on-Chip (SoC)
• Network-on-Chip
• +۷ مورد دیگر

Mario Roberto Casu is an Associate Professor in the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as a contact person for the Degree Course in Electronic Engineering. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory and actively contributes to the VLSILAB research group. Dr. Casu received his laurea degree summa cum laude in electronics engineering and his Ph.D. in electronics and communications engineering from the Polytechnic University of Turin in 1998 and 2001, respectively. He has held visiting researcher positions at Columbia University (2010-2011), National University of Singapore (2017), and CEA Grenoble (2001), as well as a visiting professorship at Chongqing Technology and Business University (2016). His research spans several interconnected domains focused on hardware implementation of advanced computing systems. Dr. Casu's work primarily addresses Embedded Machine Learning through heterogeneous embedded systems (ASICs, FPGAs, CPUs, GPUs), System-on-Chip design including latency-insensitive approaches and Network-on-Chip architectures, Microwave Imaging for both biomedical (breast cancer and stroke detection) and industrial applications (food contamination detection), and Ultra-Wide Band technologies for biomedical applications. His research bridges theoretical design methodologies with practical industrial applications across biomedical, automotive, and food sectors. Dr. Casu's recent scholarly output demonstrates a clear trajectory toward optimizing hardware implementations for machine learning workloads, particularly through FPGA-based solutions and precision-scalable multipliers. His work increasingly integrates microwave sensing technologies with machine learning for specialized applications like food contaminant detection, while maintaining strong foundations in traditional VLSI design and system-level optimization techniques. As an academic leader, Dr. Casu serves on the editorial board of IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS and regularly participates in program committees for major international conferences including DATE, ICCAD, DAC, and VLSI-SoC. He has been involved in 9 national academic research projects (2 as principal investigator), 2 European academic research projects, and 7 national and international industrial projects (2 as principal investigator). Dr. Casu actively mentors the next generation of engineers, currently supervising multiple PhD students including Lorenzo Lagostina, Edward Manca, Teodoro Urso, Fabrizio Ottati, and Luca Urbinati. His teaching portfolio includes courses such as Integrated Systems Technology, Microelectronics Digital Design, and Embedded Electronic Systems for AI/ML across both bachelor's and master's programs in Electronic and Computer Engineering. His laboratory work centers around the VLSILAB Group at DET, where his team develops innovative solutions in hardware acceleration for machine learning, microwave imaging systems, and system-level design methodologies. Current projects include the EU-funded GreenChips-EDU initiative for sustainable microelectronics education and industry collaborations with companies like Infineon Technologies on coarse-grained reconfigurable array architectures for machine learning applications.

Mohammed Al-Jahaniمشاهده پروفایل

استادیار

• FPGA Design
• Natural Speech Processing
• Embedded Systems
• +۳ مورد دیگر

Mohammed Al-Jahani is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, University of Tripoli. With over 15 years in higher education and research, he specializes in FPGA design , natural speech processing , and high-level synthesis of digital systems . Education: PhD in Computer Engineering (2015) from Florida Institute of Technology (FIT) MSc in Computer Science (2012) from FIT MSc in Computer Engineering (2004) from Beijing University of Aeronautics and Astronautics (BUAA) His research focuses on real-time FPGA-based speech recognition , Embedded Systems , and low-power hardware solutions . Recent publications highlight advancements in traffic control , processor architecture , and automated rotary car parking systems using FPGAs. He leads the FPGA Digital Embedded Systems Research and Development Group at the University of Tripoli and actively participates in scientific conferences.

• Cybersecurity in industrial systems
• Industry 4.0
• Reliability data
• +۳ مورد دیگر

Mary Ann Lundteigen is a Professor in instrumentation systems and safety at the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). Her research focuses on cybersecurity in industrial systems, Industry 4.0, reliability data analysis, instrumented safety systems, and the application of artificial intelligence in security systems, with emphasis on security and risk analysis. Current Role: Professor at NTNU Research Themes: Cybersecurity, AI in safety systems, Risk analysis Collaborations: SINTEF, IEEE, IARIA, ACM Her work integrates safety engineering with modern technologies like digital twins, OPC UA information models, and machine learning for anomaly detection. She emphasizes lifecycle approaches to safety systems and standardized failure reporting. Recent publications address AI implementation in safety-critical environments, cybersecurity for unmanned facilities, subsea pipeline monitoring, and security zones in industrial automation. Her research spans both theoretical frameworks and practical case studies. She supervises numerous Master’s and Ph.D. students on topics ranging from hybrid marine energy systems to cyber-physical safety analysis. Her team collaborates with industry partners on projects related to functional safety and IT-OT integration. Key projects include the ICT security and independence report, Asset Administration Shell implementation, and OPC UA for safety systems research. She also contributes to guidelines for safety equipment follow-up and standardized failure classification in the petroleum sector.

• Telecommunications Engineering
• Wireless Communications
• Signal Processing
• +۵ مورد دیگر

Slavko Šajić serves as an Associate Professor in the Department of Telecommunications at the Faculty of Electrical Engineering, University of Banja Luka. His academic career spans over a decade with continuous research contributions in wireless communications and signal processing. He teaches telecommunications courses at both undergraduate and graduate levels while leading research initiatives in advanced communication systems. His research interests focus on telecommunications engineering with specialization in wireless communication systems , speech recognition technologies , and secure communication protocols . Current work emphasizes practical implementations of frequency hopping spread spectrum, visible light communication, and data augmentation techniques for speech processing. His departmental role includes developing curriculum for telecommunications engineering programs. Analysis of his 15 most recent publications reveals strong trends in real-time communication systems (60% of works), signal processing innovations (35%), and security applications (25%). Notable thematic clusters include VHF synthesizer optimization (2025), audio quality assessment in visible light communication (2024), and FPGA-based synchronization for FH-SS systems (2022). His work consistently bridges theoretical algorithms with hardware implementations. Professor Šajić actively participates in research funding initiatives including the national Smart City project (2018) addressing Banja Luka's infrastructure, and the Erasmus+ project (2017-2021) focused on modernizing telecommunications engineering education. He mentors graduate students through thesis supervision and research projects within the Department of Telecommunications laboratory environment.

• Power Electronics
• Industrial Automation
• Embedded Systems
• +۵ مورد دیگر

Mladen Knežić is an Associate Professor at the Faculty of Electrical Engineering, University of Banja Luka. He actively contributes to research in Power Electronics , Industrial Networking , and Embedded Systems with a focus on renewable energy and real-time communication protocols. Current Role: Associate Professor (since 2023) Key Collaborations: Partnerships with IEEE, international conferences, and institutions in Serbia and Germany His research emphasizes boost converter optimization , EtherCAT/Ethernet Powerlink protocols , and TSN (Time-Sensitive Networking) . Recent projects include "Sistem automatske regulacije i kontrole navodnjavanja" (2023-2024) and "Implementacija FTT paradigme u TSN standarda" (2019-2020). Key publication trends include energy efficiency in power electronics, deterministic networking solutions, and FPGA-based system designs. He has contributed to over 15 peer-reviewed articles and conference papers between 2006-2022. He collaborates with researchers such as Željko Ivanović and Branko Dokić , and has participated in projects funded by the Ministry of Science and Technology of Republika Srpska and the Ministry of Agriculture, Forestry, and Water Management (total funding exceeding 50,000 BAM). As co-author of the textbook Mikrokontroleri: arhitektura i projektovanje (2022), he contributes to academic education in microcontroller systems. His ORCID is 0000-0003-3240-9110 .

Aziz Oukairaمشاهده پروفایل

استاد

• Quantum Science & Technology
• Microelectronics
• Thermal Modeling of Microsystems
• +۱۱ مورد دیگر

Aziz Oukaira is a Part-Time Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa’s Faculty of Engineering. He obtained his Ph.D. in Electrical Engineering with excellent distinction from the Université du Québec en Outaouais in 2020, followed by an NSERC-THALES postdoctoral fellowship at École polytechnique de Montréal. He currently holds an Associate Professor position in the Department of Computer Science and Engineering at the Université du Québec en Outaouais, while simultaneously teaching at uOttawa. Education: Ph.D. in Information Sciences and Technologies (Electrical Engineering), Université du Québec en Outaouais, 2020 Research Focus: Dr. Oukaira’s research spans emerging quantum technologies, microelectronic system design, and thermal management of advanced microsystems including VLSI, SoC, SoP and SiP. He actively investigates embedded systems, FPGA-based rapid prototyping, MEMS fabrication, semiconductor device modeling, and the intersection of machine learning with hardware design. His work also covers theoretical computer science, programming language theory, process control, and fluid-dynamics-informed thermal modeling. Scientific Distinctions: NSERC-THALES Postdoctoral Researcher, PolySTIM Neurotech Lab, 2020–2022 IEEE Senior Member (CSS, RAS) Member, Ordre des ingénieurs du Québec Teaching & Service: At uOttawa he currently delivers senior undergraduate courses in computer architecture and random signals & systems. Office hours are held weekly on Wednesday mornings in room 139 Louis-Pasteur.

• Wireless Sensor Networks
• Computer Engineering
• IoT
• +۷ مورد دیگر

Dr. Uroš Pešović serves as an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic service, he has progressed from teaching associate (2007-2018) to assistant professor (2018-2023) and currently holds the position of associate professor for Computer Engineering (2023-2028). Elementary school "Milica Pavlović" Čačak (1989-1997), average grade 5.00 - holder of Vuk's diploma Secondary Technical School Čačak (1997-2001), automation electrical technician, average grade 5.00 - holder of Vuk's diploma Technical Faculty, Čačak, University of Kragujevac (2001-2006), B.Sc. electrical engineer for computer technology, average grade 9.03 Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor, Slovenia (2007-2010), Master of Electrical Engineering, Major in Telecommunications, average grade 9.75 Faculty of Electrical Engineering, Computing and Informatics, University of Maribor, Slovenia (2010-2016), doctor of technical sciences, doctoral dissertation "Error probability model for IEEE 802.15.4 wireless transmission with co-channel interference and background noise" Dr. Pešović's research spans wireless sensor networks, IoT applications, computer architecture, and reliability engineering. His work demonstrates a strong focus on practical implementations of theoretical models, particularly in IEEE 802.15.4 wireless communication protocols and their applications in precision agriculture, industrial monitoring, and network communication systems. His expertise bridges hardware and software design, with recent work emphasizing machine learning applications for predictive maintenance and anomaly detection in storage systems. Analysis of his recent publications reveals a clear evolution from foundational wireless communication research toward more applied work in precision agriculture, industrial IoT, and educational technology. His current research emphasizes practical problem-solving in agricultural technology using LoRa and other wireless technologies, predictive maintenance of storage systems using machine learning, and innovative approaches to computer engineering education. Dr. Pešović teaches across all academic levels, including undergraduate courses in Computer Architecture, Organization of Computer Systems, Microcontroller Systems, and Computer Networks, as well as graduate courses in Hardware-Software Design, Intelligent Sensors, and Industrial Communication Networks. At the doctoral level, he teaches courses on integrated hardware-software design, disk performance, and telecommunication systems modeling.

• 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.

• Radiation Effects on Electronics
• Spacecraft Systems
• Memory Technology
• +۳ مورد دیگر

Torsten Fichna is a researcher at the Institute of Computer and Network Engineering , Braunschweig University of Technology. His work focuses on radiation effects in electronic memory systems for space applications, FPGA-based spacecraft controllers, and error correction techniques for aerospace environments. Affiliation: Institute of Computer and Network Engineering, Braunschweig University of Technology Research Focus: Radiation-hardened memory systems, FPGA design for space, single-event effects (SEE) mitigation Contact: fichna@ida.ing.tu-bs.de His research explores the intersection of computer engineering and space systems , particularly addressing challenges in memory reliability and reconfigurable hardware for small satellites. Recent publications highlight trends in FPGA-based mass memory controllers and radiation tolerance for DDR2 SDRAM and NAND flash devices. While no explicit scientific awards are listed, his contributions to spacecraft instrumentation and radiation testing have been recognized in symposia like the IAA Symposium on Small Satellites for Earth Observation and workshops such as SpacE FPGA Users Workshop .

• 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.