Matthias Schmelz is a researcher at the Leibniz Institute of Photonic Technology, working in the Quantum Circuits group under the Research Department Quantum Systems. His work focuses on the development of superconducting quantum circuits and cryogenic electronics, with a particular emphasis on Josephson junction fabrication, SQUID-based readout systems, and wafer-scale integration for scalable quantum technologies. Key research contributions include the design of adiabatic quantum flux parametrons (AQFP), development of high-inductance cryogenic current comparators (CCC), and optimization of microwave SQUID multiplexer (µMUX) architectures for terahertz security cameras. His projects involve collaborations with institutions like CERN and GSI Darmstadt, addressing challenges in millikelvin thermalization, noise reduction, and quantum device characterization. Recent publications highlight advancements in cross-type Josephson junction fabrication, controllable mode coupling in coplanar waveguides, and hybrid NbN-Al quantum technologies. These works span journals including Physical Review B and IEEE Transactions on Applied Superconductivity , with applications in quantum computing, particle beam diagnostics, and high-sensitivity optical sensor readouts.
MARIA ANGELES CIFREDO CHACON is a Professor at Universidad de Cádiz, affiliated with the Department of Automatic, Electronic Engineering, Computer Architecture and Networks. Her research focuses on Computer Architecture and Technology , particularly in FPGA , Embedded Systems , and Magnetic Measurements . Doctorate in 2010 from Universidad de Cádiz Her recent work includes advancements in low-noise magnetic measurement systems for CubeSats and innovative applications of augmented reality in STEM education. She has contributed to privacy-preserving data collection protocols and neuromorphic platforms . Her publications span space technology , educational methodologies , and hardware security , reflecting interdisciplinary expertise in electronics and computational systems.
Angel Quiros Olozabal is an Associate Professor at the University of Cadiz, affiliated with the Department of Automatic, Electronic, Computer Architecture and Networks Engineering. His research focuses on hardware development, FPGA optimization, and circuit design, with applications in Boundary Scan (JTAG) test automation, power quality monitoring, neuromorphic systems, and biomedical devices like TMS coils. His work spans diverse subfields including digital signal processing, electromagnetic modeling, and educational technologies. Key methodologies involve VHDL synthesis, boundary element analysis, and real-time system implementation. Current research trends emphasize privacy-preserving data collection protocols, thermal modeling for medical devices, and low-cost embedded platforms for circuit emulation. Scientific awards are not explicitly mentioned in the provided data. No student advisement records were found. For collaboration or inquiries, his email is angel.quiros@uca.es .
Tobias Welti is a Senior Lecturer at the Zurich University of Applied Sciences (ZHAW) School of Engineering, specializing in System on Chip Design and Computer Engineering . He leads the research focus area on System on Chip – Embedded AI and Edge Processing and serves as Deputy Programme Director for Electrical Engineering. Education: CAS in Didactics of Higher Education (PHZH, 2019–2020) BSc in Computer Science (UAS Zurich, 2010–2015) MSc in Chemistry (ETH Zurich, 1998–2003) His research spans System-on-Chip design , FPGA-based AI acceleration , and low-latency wireless video transfer for applications including medical endoscopes. Recent work includes the MAX78002 CNN accelerator and EdgeAI-Trust EU project. Key trends in his publications include heterogeneous computing (FPGA-CPU integration), real-time neural network deployment , and wireless system reliability . These appear in venues like the Embedded World Conference and Embedded Computing Conference (ECC).
Adil Ahmad is an Assistant Professor in the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), Tempe, AZ. His research focuses on computer security, systems, and architecture, aiming to protect sensitive data from powerful adversaries using hardware-assisted trusted execution environments (TEEs) and secure system software design. Education: Ph.D. in Computer Science, Purdue University, 2022 B.S. in Computer Science, Lahore University of Management Sciences, 2016 Adil leverages TEEs to address protection and usability limitations while designing principles to strengthen critical system software (e.g., operating systems and hypervisors). His work has been supported by a US Department of Defense DEPSCoR Award, and he actively contributes to academic service as a program committee member and reviewer for top-tier conferences like IEEE S&P, USENIX Security, and ACM CCS. Selected publications include Veil (ACM ASPLOS 2023), OmniLog (USENIX Security 2023), and eOPF (USENIX OSDI 2023), focusing on confidential computing, secure logging, and cloud orchestration. He also leads outreach initiatives like the Desert CodeSprouts Workshop, promoting computer science education for middle-school students in cybersecurity, programming, and machine learning. Scientific Awards: US Department of Defense DEPSCoR Award Adil chairs sessions like "Verification for Security" at IEEE S&P and mentors students in systems and security research. He is open to hiring motivated PhD students and emphasizes hands-on, inclusive learning environments in his outreach activities.
Professor Mahmoud Meribout is a faculty member at the Electrical Engineering Department of Khalifa University of Science & Technology, UAE. He holds a Ph.D. in Computer Engineering from the University of Technology of Compiegne, France, and has industry experience at NTT and NEC Japan, focusing on embedded systems and AI hardware. Education: Ph.D., Computer Engineering, University of Technology of Compiegne (France) M.Sc., Computer Engineering Research Interests: His work spans real-time imaging systems (THz, MPI, optical, electrical, and magnetic tomography), sensor systems, multiphase flow metering, and hardware accelerators/embedded systems for AI, machine learning, and machine vision. He is currently leading a project on a hybrid GPU-FPGA-based 3D Electrical Impedance Tomography system. Scientific Recognition: He received the NTT Best Award in 1998 for his contributions to parallel processor architecture design. Academic Supervision: He supervises M.Sc. students including Asma Najeeb , Mahfoudh Awadh Baobaid , Mohamed Tarek Tageldin Mohamed , and Juan Paul .
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.
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.
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.
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.
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.
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 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.
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.
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.
