جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Financial Signal Analysis
• Machine Learning
• +۵ مورد دیگر

Ali Akansu is a Professor in the Department of Electrical and Computer Engineering at NJIT. His academic career spans multiple decades, with significant contributions to signal processing, financial engineering, and multimedia communications. He has led or co-led four major NSF-funded projects, including the Center for Digital Video & Media Research and the Laboratory for Multimedia Signal Processing and Communication. His research focuses on topics such as eigenanalysis for financial portfolios, machine learning in network analysis, and multimodal affective state assessment using EEG and fNIRS. Key research areas include financial signal processing, portfolio optimization, eigensubspace applications, and data hiding techniques. Notable projects involve FPGA-based real-time risk analysis systems and GPU implementations for eigenportfolio analysis. He has published over 190 peer-reviewed articles, with impactful work in journals like Journal of Investment Strategies and Brain Sciences . His recent work combines machine learning with signal processing to address challenges in network traffic forecasting and financial market dynamics. He has also contributed to biomedical signal processing through studies on affective state assessment using neuroimaging techniques. Awards and recognitions include a h-index of 27 and over 2,694 citations. Grants: National Science Foundation (1991-1993, 1997-2002): Real-Time Color Video Workstation, Multimedia Signal Processing Lab, and Digital Video Research Center Labs/Teams: Leadership in NJIT's Laboratory for Multimedia Signal Processing and Financial Signal Processing groups

Laurent Pautetمشاهده پروفایل

استاد

• Real-Time Systems
• Critical Systems Design
• Embedded Systems
• +۷ مورد دیگر

Laurent Pautet is a Professor at Télécom Paris since 2005 and Head of the Autonomous Critical Embedded Systems (ACES) research team at the Information Processing and Communication Laboratory (LTCI). He holds a PhD in Computer Science from Télécom Paris (1993) and an HDR (2001) from Université Pierre et Marie Curie (UPMC). His research focuses on real-time systems, critical systems design, security, and model-based engineering. He leads the ACES team, which addresses challenges in concurrent systems, scheduling algorithms, and safety-critical applications. His academic background includes a PhD supervised by Dassault Electronics and an HDR emphasizing formal methods and distributed systems. His work spans real-time scheduling (e.g., mixed-criticality systems), embedded software reliability, and intrusion detection systems. He has contributed to tools like the Ocarina AADL tool suite and frameworks such as Flex-eWare for embedded distributed systems. Research interests also include cybersecurity threats to intrusion detection systems (IDS), motion control for autonomous vehicles, and application of mixed-criticality scheduling in AI-driven systems like Monte Carlo Tree Search. He actively supervises internships and theses on topics like renewable energy-aware real-time scheduling and 5G NR in SCADA systems. Pautet’s publications span journals like Journal of Systems Architecture and conferences such as RTSS and IEEE CSR. His work bridges theoretical foundations (e.g., linear programming for scheduling) with practical implementations in domains like aerospace and automotive systems.

Jean-Michel Mullerمشاهده پروفایل

پژوهشگر

• Computer Arithmetic
• Floating-Point Arithmetic
• Algorithms
• +۳ مورد دیگر

Jean-Michel Muller is a Research Director at CNRS, posted at Laboratoire LIP (common to CNRS, ENS Lyon, INRIA, and Université Claude Bernard Lyon 1). He is a member of the Pascaline team, a follow-up of the ARENAIRE and ARIC teams. He serves as Associate Editor-in-Chief of the IEEE Transactions on Emerging Topics in Computing . His research focuses on computer arithmetic, including floating-point arithmetic, algorithms, architectures, and elementary functions. He has authored influential books such as Handbook of Floating-Point Arithmetic and Elementary Functions: Algorithms and Implementation . Research Interests : Computer Arithmetic Floating-Point Arithmetic Standards (IEEE 754) Algorithm Design for Hardware/Software Systems Error Analysis and Correct Rounding Elementary Function Implementations Awards : Médaille d'Argent du CNRS (2013) "La Recherche" Award for Computer Science (2013, shared) IEEE Fellow (2017) Labs/Teams : Member of the Pascaline team at LIP, collaborating on advancing computer arithmetic and numerical algorithms.

• Biomedical Informatics
• Medical Informatics
• Healthcare Information Systems
• +۴ مورد دیگر

Giovanni Dimauro is an Associate Professor in the Department of Computer Science at the University of Bari. His work focuses on biomedical informatics, ontology development, and machine learning applications in healthcare. He leads research in clinical text mining, healthcare knowledge graphs, and AI-driven medical decision support systems. Research interests include: biomedical natural language processing, ontology semantics for healthcare interoperability, and predictive modeling in clinical domains. His team develops tools for adverse event detection, social determinants extraction, and vaccine ontology alignment. Recent work emphasizes large language models for biomedical literature curation (RefAI), ensemble methods for knowledge extraction, and Med-BERT adaptations for disease prediction. Collaborations address clinical note analysis, drug repurposing via knowledge graphs, and interoperability frameworks like SDoHO ontology. His lab integrates deep learning, semantic web technologies, and clinical data standards to advance precision medicine and healthcare informatics.

Vladimir Milovanovićمشاهده پروفایل

دانشیار

• Electrical Engineering
• Computer Science
• Signal Processing
• +۷ مورد دیگر

Dr. Vladimir Milovanović is an Associate Professor at the Faculty of Engineering, University of Kragujevac, Serbia, holding a position as Chair of the Department of Electrical Engineering and Computer Sciences. His academic career is anchored in interdisciplinary research at the intersection of electrical engineering, computer science, and biomedical applications. His research focuses on hardware design, radar sensor systems, biomedical signal processing, and machine learning applications. Notable areas include CMOS circuit design, FPGA-based implementations, and parameterizable hardware generators for signal processing tasks. He also explores medical imaging analysis using deep learning techniques for conditions like disc hernia diagnosis. Recent work emphasizes radar technology (FMCW transceivers, signal processing architectures), embedded systems (FPGA development, IP core utilization), and high-performance streaming data algorithms. His publications span over two decades, demonstrating expertise in analog/digital circuit design, comparative classifier analysis in biomedical contexts, and hardware-software co-design methodologies. Dr. Milovanović collaborates with industry on energy-efficient MIMO arrays and semiconductor gas sensors. His contributions include open-source HDL models for digital signal processors and comparator circuits optimized for low-power and high-speed applications.

Alessandro Biondiمشاهده پروفایل

دانشیار

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems
• +۶ مورد دیگر

Alessandro Biondi is an Associate Professor at Scuola Superiore Sant'Anna in Pisa, Italy, affiliated with the Real-Time Systems Laboratory and the Department of Excellence in Robotics & AI. His research focuses on real-time and embedded systems, cyber-physical systems, and security for critical systems. Biondi's work spans real-time operating systems, virtualization, schedulability analysis, safe machine learning for CPS, and synchronization protocols. He collaborates extensively with industry partners in automotive, railway, avionics, and drone domains, working on projects involving autonomous driving software, safety-critical systems, and multi-domain platforms. He has received several prestigious awards including the IEEE TCCPS Early Career Award and ACM SIGBED Early Career Award. Biondi serves as Associate Editor for several journals including IEEE Transactions on Emerging Topics in Computing and Springer Real-Time Systems.

Vadim Geurkovمشاهده پروفایل

دانشیار

• Built-In Self-Test and Self-Repair in Reconfigurable Computing Systems
• Digital and Mixed-Signal Systems Testing and Testable Design
• Self-Diagnosis in Microprocessor Based Measurement Instruments
• +۲ مورد دیگر

Vadim L. Geurkov is an Associate Professor at the Department of Electrical and Computer Engineering, Toronto Metropolitan University. He earned an M.A.Sc. in Electrical Engineering from Georgian Technical University (1981) and a Ph.D. in Computer Engineering from the Institute of Control Sciences, Moscow (1993). Research Focus: Specializes in digital and mixed-signal systems testing, with expertise in built-in self-test/repair mechanisms, fault tolerance, error-control codes, and self-diagnosis in reconfigurable computing systems. His work bridges theoretical and applied aspects of hardware reliability. Industry Collaborations: Led projects with OCE-CCIT, MDA Space Missions Inc., NSERC, and other partners on reconfigurable processors, FPGA self-restoration, and error-control applications. Professional Affiliations: Senior IEEE member, ACM member, and licensed with the Ontario Society of Professional Engineers.

Cătălin Bogdan CIOBANUمشاهده پروفایل

مدرس

• Computer Architecture
• SIMD Architectures
• Reconfigurable Computing
• +۳ مورد دیگر

Cătălin Bogdan CIOBANU is a Lecturer at the Electronics and Computers Department within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on advanced computing architectures, including SIMD designs, reconfigurable systems, embedded systems, and supercomputing. He is affiliated with the university’s main campus at Politehnicii St, no 1, Brașov, România, and can be contacted via email at catalin.ciobanu@unitbv.ro or phone +40 711 928 609. His research interests revolve around optimizing computational hardware for high-performance tasks. Key areas include the design of polymorphic registers for efficient matrix operations, high-bandwidth memory systems for digital signal processors, and accelerating algorithms using AVX2 and CUDA. He has contributed to projects like the SARC architecture and the EXTRA platform for reconfigurable HPC. CIOBANU has published extensively in journals like IEEE Micro and conferences such as IEEE International Conference on Computational Science and Engineering. His work often bridges theoretical computer architecture with practical applications in embedded and supercomputing systems. No scientific awards are explicitly mentioned in the provided text. His advising activities and grants are not detailed here, but his involvement in academic research and development at the university is central to his role.

Csaba Zoltán KERTÉSZمشاهده پروفایل

مدرس

• Embedded Systems
• Microcontroller Applications
• Graphical User Interfaces
• +۷ مورد دیگر

Csaba Zoltán KERTÉSZ is a Lecturer at the Department of Electronic and Computers, Faculty of Electrical Engineering and Computer Science, Technical University of Brașov. His research focuses on embedded systems, microcontroller applications, graphical user interfaces, digital signal processing, and real-time operating systems. He has contributed to IoT/M2M communication, wireless sensor networks, and SDR platforms. He has also explored the use of GitHub in collaborative learning and automotive industry-supported curriculum design. Key research interests include: Embedded GUI development frameworks IoT gateway systems using SDR Real-time monitoring and control systems HbbTV architecture performance analysis His recent work (2021-2024) emphasizes: AI-driven programming assessment tools SIMD extension optimization Wireless sensor networks for water distribution Reconfigurable IoT infrastructure Publications span over 15 years, showing sustained contributions in embedded systems, telecommunications, and educational technology. No specific awards mentioned. Labs/Teams: Actively involved in the University's embedded systems and IoT research groups.

Dan Marius Dobreaمشاهده پروفایل

استادیار

• Virtual Reality
• Medical Electronics
• Pattern Recognition
• +۵ مورد دیگر

Dan Marius Dobrea is an Assistant Professor at the Technical University of Iasi, specializing in interdisciplinary research at the intersection of Virtual Reality, Medical Electronics, and intelligent systems. His work bridges advanced computational methods with practical applications in transportation monitoring, sensor design, and brain-computer interfaces. University: Technical University of Iasi Academic Rank: Assistant Professor Research interests span UAV systems, deep learning algorithms, and neuro-fuzzy networks. Recent publications highlight real-time tracking solutions for drones, pothole detection in road infrastructure, and sensor-based gesture recognition systems. His focus on lightweight AI architectures for embedded platforms demonstrates a commitment to resource-efficient technologies. Article trends reveal expertise in: Unmanned Aerial Vehicles (UAVs) Real-time computer vision Deep learning for infrastructure monitoring Human-computer interaction via inertial sensors Signal processing for biomedical applications GPU-accelerated algorithm optimization

José R. Herreroمشاهده پروفایل

دانشیار

• High Performance Computing
• Parallel Computing
• Dense Linear Algebra Algorithms
• +۳ مورد دیگر

José R. Herrero is an Associate Professor in the Computer Architecture Department (DAC) at the Universitat Politècnica de Catalunya (UPC), affiliated with the Barcelona School of Informatics (FIB). His primary research area is High Performance Computing (HPC), focusing on parallel algorithms, dense linear algebra, and multicore processor optimization. He has held administrative roles including Vice-Dean for Academic Studies (2010–2013) and Vice-Dean for Institutional and International Relations (2013–2015) at FIB. Education: PhD in Computer Science from UPC (2006), Postgraduate in Training of University Professors (1997), and a Computer Science degree (1993). Teaching experience includes over 15 courses in Computer Architecture, Operating Systems, and Parallel Programming at both undergraduate and graduate levels. Research interests span HPC, parallel computing, and algorithm design. His work emphasizes optimizing matrix computations and linear algebra libraries for modern architectures. Notable contributions include advancements in sparse Cholesky factorization, task-parallel algorithms, and energy-efficient computing. Recognition includes UPC's Teaching Mention for Outstanding Quality (2009, 2014, 2019) and a Certificate of Merit for contributions to scientific computing workshops. He advises numerous PhD students and collaborates internationally, including visiting roles at GeorgiaTech and École Polytechnique de Montréal.

• High-Performance Computing
• Energy Efficiency
• Parallel Computing
• +۳ مورد دیگر

Ananta Tiwari is a researcher specializing in High-Performance Computing (HPC), energy efficiency, and parallel system optimization. His work focuses on optimizing HPC applications, workload management, and resource allocation strategies to enhance both performance and energy efficiency. Tiwari has collaborated extensively with institutions like the University of Maryland, UC San Diego, and Lawrence Livermore National Laboratory through his research activities. Education: PhD in Computer Science, University of Maryland, College Park (2011) Research Interests: Energy-efficient HPC systems Parallel application auto-tuning frameworks Workload characterization and extrapolation Node-sharing and resource pricing models ARM architecture optimization for HPC Key Contributions: Tiwari's research spans energy optimization techniques for large-scale MPI applications, colocation strategies for HPC workloads, and binary instrumentation tools for program analysis. His work on auto-tuning frameworks and multi-objective modeling with machine learning addresses critical challenges in balancing performance, power consumption, and scalability in modern HPC environments.

Konstantin Nikolicمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Management
• +۷ مورد دیگر

Konstantin Nikolic is a Professor of Computer Science specializing in Artificial Intelligence, Machine Learning, and Data Management at the University of West London's School of Computing and Engineering. Previously, he served as Senior Research Fellow and Principal Investigator at Imperial College London's Institute of Biomedical Engineering (2006–2020) and held roles as Assistant Professor and Associate Professor at the University of Belgrade's Faculty of Electrical Engineering. He holds a PhD in Physics from Imperial College London and degrees in Applied Physics from the University of Belgrade. His research spans computational neuroscience, neuromorphic engineering, neuroprosthetics, and biomedical systems. Key areas include developing AI-driven drug discovery methods, neuromorphic robotics platforms, and optogenetic models for neural interfaces. Recent work explores emergent quantum phenomena in complex adaptive systems and integrates machine learning with biosensors for medical applications. Publications emphasize interdisciplinary approaches, including neuromorphic hardware implementations, optogenetic device modeling, and biophysical simulations. Collaborations include institutions like Imperial College and the University of Belgrade, with a focus on applying computational models to real-world biomedical challenges.

• Cryptography
• Security Protocols
• Side-Channel Attacks
• +۳ مورد دیگر

Olivier Markowitch is a Professor at the Computer Sciences Department of the Faculty of Sciences at Université Libre de Bruxelles (Free University of Brussels). He currently serves as Dean of the Faculty of Sciences and is the university's information security advisor. Previously, he was Head of the Computer Sciences Department and co-president of the university's ethics committee. He co-founded the inter-university Master in Cybersecurity program and co-organized the Cybersecurity Research Center at ULB. His research focuses on: Design and analysis of cryptographic protocols Communication protocol security Side-channel attack methodologies Blockchain applications Hardware security (Network-on-Chip) Secure computation outsourcing Analysis of his 100+ publications reveals consistent focus on applied cryptography, with recent work emphasizing blockchain-based auction systems, hardware security for multi-core architectures, lightweight encryption for IoT devices, and theoretical advances in cryptographic protocols. His publications frequently address both theoretical foundations and practical implementations. Markowitch has supervised doctoral candidates in areas including lattice-based cryptography and secure Network-on-Chip protocols. He leads institutional cybersecurity initiatives and teaches courses in algorithms, cryptography, and computer security.

Ishfaq Hussainمشاهده پروفایل

مدرس

• Energy Optimization
• Reconfigurable MPSoC Architectures
• Embedded Systems
• +۳ مورد دیگر

Ishfaq Hussain is a Lecturer at the University of Sargodha and a visiting researcher at Emwi-Tech. He holds a Master's degree in Electrical and Electronics Engineering from HITEC University, Pakistan, with over 4.5 years of experience in embedded systems and artificial intelligence development. His research focuses on energy/performance optimization in reconfigurable MPSoC architectures, mixed-criticality systems, and real-time scheduling algorithms. Education: Masters in Electrical and Electronics Engineering, HITEC University, Pakistan Research Interests: Energy-efficient embedded systems, reconfigurable computing, real-time systems, and mixed-criticality scheduling. He has contributed to frameworks for WCRT analysis in multiframe systems and energy-aware MPSoC modeling using fuzzy logic. Grants & Awards: Recipient of a research grant from the National ICT R&D Fund Outstanding Paper Award at RTNS 2019 Events & Talks: Speaker at CISTER's Seminar Series (2018, 2020), presenting on multicore processor platforms and mixed-criticality systems Participant at WFCS 2022, ICESS 2021, RTNS 2019 Affiliations: Active in the CISTER Research Centre and associated with Emwi-Tech through visiting research collaborations.