جست‌وجوی استاد و پژوهشگر

Jürgen Brehmمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Parallel Processing
• E-Learning
• +۶ مورد دیگر

Jürgen Brehm is an Adjunct Professor at the Faculty of Electrical Engineering and Computer Science of Leibniz University Hannover . He holds a venia legendi in Computer Engineering after completing his habilitation in 2000. Education: Diploma in Computer Science (1986), Doctorate in Engineering (1991), Habilitation (2000) Research interests span computer architecture , parallel processing , performance analysis , and e-learning . His work explores ubiquitous computing , communication architectures , and optimization algorithms . Recent publications highlight trends in parallel computing , optimization , and interactive systems , including works on swarm intelligence , particle swarm optimization , and open content integration. Scientific award : Feodor Lynen Fellowship (1994) Teaching includes core courses like Basics of Computer Architecture , Operating Systems , and Parallel Processing . He also designed two multimedia-equipped computer science lecture halls and managed large-scale DFG projects for e-learning and HPC computing.

• Computer Architecture
• Vector Processors
• GPU Microarchitecture
• +۹ مورد دیگر

Roger Espasa Sans is a senior academic and researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Faculty of Informatics of Barcelona (FIB) and the Department of Computer Architecture. He has made significant contributions to computer architecture, particularly in vector processing, GPU design, and performance optimization. Universitat Politècnica de Catalunya (UPC) Faculty of Informatics of Barcelona (FIB) Department of Computer Architecture His research focuses on advanced computer architecture, including vector and superscalar processors, memory systems, instruction-level and data-level parallelism, GPU microarchitecture, and performance modeling. His work bridges theoretical design and practical implementation, especially in high-performance and embedded systems. The recent articles highlight a strong trend in GPU and shader optimization, memory redundancy elimination, and performance modeling. His publications span prestigious venues such as IEEE Microarchitecture Symposium, IEEE HPCA, and The Visual Computer, indicating sustained impact in the field of computer systems and architecture. Premiada (Awarded activity) Roger Espasa Sans has advised several doctoral students, including Manel Fernandez Gomez and Francisca Quintana Domínguez, contributing to the next generation of computer architects. His collaborative network is extensive, involving key figures like Mateo Valero and international institutions. While specific grants are not listed, his prolific output suggests sustained funding. He has contributed to major research groups such as CAP (High Performance Computing Group). He is a core member of the CAP - Grup de Computació d'Altes Prestacions (High Performance Computing Group), and has also been associated with PM - Programming Models and ARCO - Microarchitecture and Compilers. His work often involves simulation frameworks like JINKS and Asim, indicating a strong focus on performance evaluation and modeling.

• Information Processing over Networks
• Adaptive Signal Processing & Learning
• Statistical Learning
• +۴ مورد دیگر

Berberidis Kostas is a Professor at the University of Patras, Department of Computer Engineering and Informatics. His academic work focuses on Information Processing over Networks , Adaptive Signal Processing , and Wireless Communications . He is affiliated with the Division of Hardware and Computer Architecture. Specialized in Statistical Learning and Distributed Information Processing Contributed to advancements in Signal Processing for Communications and Array Signal Processing Notable research areas include: Adaptive and distributed learning algorithms Wireless channel equalization and relaying Hyperspectral and biomedical image processing Resource allocation with security constraints Recent publications cover topics like blind hyperspectral unmixing , secure resource allocation , and FIR filter optimization , reflecting his interdisciplinary focus on signal processing, communications, and computational imaging.

Nader F. Mirمشاهده پروفایل

استاد

• Computer Networks
• Protocols
• TCP/IP
• +۱۵ مورد دیگر

Dr. Nader F. Mir is a Professor of Electrical Engineering at San Jose State University, where he serves in the Charles W. Davidson College of Engineering within the Electrical Engineering Department. His office is located in Engineering Building E251 at One Washington Square, San Jose, California 95192. With extensive experience in academia and research, Dr. Mir has served as Department Associate Chair and continues to contribute significantly to the field of electrical engineering and computer networking. Ph.D. in Electrical Engineering, Washington University (1995) Author of the widely adopted textbook 'Computer and Communication Networks' (3rd Edition expected 2023-24) Holds US Patent 7,012,895 B1 for 'Packet-Switching Network with Symmetrical Topology' Series Technical Editor for IEEE Communications Standards Magazine (2015-present) Dr. Mir's research spans computer networks, protocols, TCP/IP, virtualization, AI, cloud data centers, network security, and multimedia networking. His work focuses on the intersection of theoretical networking principles and practical implementation challenges, particularly in emerging technologies like software-defined networking and network function virtualization. He has made significant contributions to understanding high-speed switching systems, multimedia streaming optimization, and cloud network architecture. His recent publications demonstrate a clear trajectory toward AI-driven network management, edge computing, and optimizing multi-tenant cloud environments. These works reveal his ability to adapt to evolving technological landscapes while maintaining focus on fundamental networking principles. The publications collectively showcase expertise across computer networking, cloud infrastructure, multimedia systems, and wireless communications. Nancy Wheeler Nelson Faculty Excellence Award (2017) Faculty Service Recognition Award (2017) Faculty Award for Excellence in Scholarship (2015) Faculty Author Award (2014) Most Effective Professor Award from IEEE-SJSU Society (2004) Dr. Mir has supervised numerous theses and graduate projects while serving on various Master's and PhD thesis defense committees. Beyond teaching and research, he has secured research grants including a CENIC Network Research Foundation grant for forest fire protection through surveillance sensor networks. His editorial work with IEEE publications has shaped discourse in communications standards and networking technologies. Dr. Mir's leadership extends to organizing major conferences including the IEEE International Conference on Computer Communication Networks and serving as chair for multiple international conferences.

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

Orlando Hernandezمشاهده پروفایل

دانشیار

• VLSI Architectures
• Computer Vision
• Image Processing
• +۴ مورد دیگر

Orlando Hernandez is an Associate Professor in the Department of Electrical and Computer Engineering at The College of New Jersey. He holds a Ph.D. in Electrical Engineering from Southern Methodist University (2002), an M.S.E.E. (1993) and B.S.E.E. (1991) from the University of South Florida. Prior to his academic career, he held industry positions at Texas Instruments and Maxim Integrated Products from 1993-2003, serving in design management roles for imaging systems, ASIC development, and microcontroller technologies. His research focuses on high-performance VLSI architectures for computer vision applications, including color image segmentation, digital signal processing, embedded systems, and mixed-signal design. Key research areas include hardware acceleration for image compression algorithms, real-time traffic monitoring systems, autonomous robotics, and advanced encryption implementations. His work consistently bridges theoretical algorithms with practical hardware implementations. Professional affiliations include Senior Membership in the Institute of Electrical and Electronics Engineers (IEEE). He has secured multiple research grants including a $93,320 National Science Foundation award for image processing instrumentation and several industry-sponsored equipment grants from Texas Instruments and Xilinx.

Nebojsa Stankovicمشاهده پروفایل

استادیار

• Artificial Intelligence in Education
• Machine Learning Applications
• Programming Education
• +۳ مورد دیگر

Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.

Peter Schelkensمشاهده پروفایل

استاد

• Holography
• Image and Video Coding
• Digital Signal Processing
• +۶ مورد دیگر

Peter Schelkens is a Professor at the Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB). He holds additional roles including Department Chair and Head of Research Group, focusing on technology transfer and innovation in electronics and informatics. His research spans fundamental signal processing, holography, medical imaging, and standardized multimedia coding frameworks like JPEG Pleno. Education and Academic Background: Postdoctoral Fellowship (2002–2011) funded by the Research Foundation – Flanders (FWO). His work bridges theoretical advancements with applied domains such as eHealth, bio-informatics, and cultural heritage preservation. Research Interests: Holography and digital signal processing dominate his focus, including holographic compression, Fourier-based techniques, and light field imaging. Strategic projects involve error-resilient coding, computer architectures (e.g., GPU/GPGPU), and quality assessment metrics. His applied research addresses medical imaging, 3D media broadcasting, and immersive technologies. Article Trends: Recent work emphasizes holographic video codecs (e.g., INTERFERE), high-throughput hologram generation, and JPEG Pleno standardization. He explores computational methods for 3D metrology and deep learning applications in hologram optimization. Scientific Awards: Gauss Award (2000), ERC Consolidator Grant (2014), Best Associate Editor Award (2014), and multiple industry accolades. Grants/Projects: Leads major initiatives like the SRP-Onderzoekszwaartepunt LSDS (2022–2027) and GEAR (2021–2025), focusing on health tech and learning-based systems. Labs/Teams: Active in ETRO, the interdisciplinary research group at VUB, collaborating globally on holography, multimedia standards, and biomedical imaging systems.

• Machine Learning
• Computer Vision
• Intelligent Systems
• +۷ مورد دیگر

Evi Zouganeli is a Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University (OsloMet). She leads the Automation, Robotics, and Intelligent Systems (ARIS) research group and serves as a board member of the Norwegian Artificial Intelligence Society (NAIS). Her work bridges academic research and industrial applications in intelligent systems. Research Focus: Zouganeli specializes in Machine Learning and Computer Vision applications for Cognitive Robotics, with emphasis on assistive technologies, smart cities, and smart industry. Her research explores neuromorphic computing, sensor network optimization, and multi-modal AI integration. Publications Trends: Recent works focus on AI-enabled robotics, sensor placement optimization in smart homes, and neuromorphic reservoir networks. Earlier contributions include European collaborative research in photonic technologies and broadband networks. Additional Contributions: She actively participates in public discourse about AI implementation challenges and Norway’s AI development potential, engaging with industry leaders and policymakers.

• Human-Computer Interaction
• 3D User Interfaces
• Gesture Recognition
• +۳ مورد دیگر

Dr. Ravin Balakrishnan is a leading figure in Human-Computer Interaction at the University of Toronto, Canada. With over 163 publications from 1994-2023, his work spans 3D interfaces , gesture recognition , mobile computing , and collaborative systems . He received the CHCCS 2020 Achievement Award for his contributions. Key research areas: Human-Computer Interaction, 3D User Interfaces, Tactile Displays, Mobile Computing Major awards: CHCCS 2020 Achievement Award Collaborators: Tovi Grossman, Daniel Wigdor, Karan Singh Publication Trends (2023-2006): 2023: Interactive camera robots for video capture 2022: Swarm robotics for physical demonstrations 2021: Drone tour interfaces and VR navigation 2020: Telepresence drones and volumetric displays 2019: Multimedia education tools 2016: Dual-screen interaction and tactile feedback 2011: Curve sketching and children's interfaces 2008: Spherical displays and tactile widgets 2006: Volumetric display techniques His work bridges academic research with real-world applications in education, accessibility, and collaborative environments. Publications in top venues like CHI, UIST, and ACM Transactions demonstrate sustained impact in interaction design.

Ivy K. Y. Wooمشاهده پروفایل

پژوهشگر

• Cryptography
• Privacy
• Computer Security
• +۲ مورد دیگر

Ivy K. Y. Woo is a Doctoral Researcher (academic rank: Researcher) in the Department of Mathematics and Systems Analysis at Aalto University, Finland. She is an active member of the Algebra and Discrete Mathematics research group, collaborating with principal investigators including Russell W.F. Lai and Chris Brzuska on advanced cryptographic protocols. Her research concentrates on Cryptography and Privacy with specialized expertise in lattice-based constructions, anonymous transaction systems, and steganography. Key focus areas include traitor tracing mechanisms, functional encryption schemes, Learning With Errors (LWE) assumptions, and privacy-preserving technologies for blockchain applications. Her methodology integrates theoretical cryptography with practical security implementations, particularly addressing leakage resilience and sustainable anonymity systems. Analysis of her 10 recent publications (2022-2025) reveals dominant research trajectories in lattice-based cryptography (70% of output), with significant contributions to traitor tracing, attribute-based encryption, and obfuscation techniques. Parallel streams explore blockchain privacy (20%) through transaction graph analysis and sustainable ring signatures, plus steganographic methods (10%) for natural data hiding. Her work consistently targets high-impact venues including ASIACRYPT, CRYPTO, and Privacy Enhancing Technologies Symposium. Scientific recognition includes: The Andreas Pfitzmann - PETS Best Student Paper Award Runner Up 2022 for "On Defeating Graph Analysis of Anonymous Transactions" Woo maintains active research partnerships within Aalto's cryptography ecosystem, particularly through the Algebra and Discrete Mathematics group. Her current projects involve lattice-based solutions for multi-authority attribute encryption and leakage-resilient cryptographic primitives, with several 2025 publications indicating ongoing high-productivity collaboration with international research teams.

John Cosmasمشاهده پروفایل

استاد

• Telecommunications
• Digital Media Systems
• 5G Technology
• +۷ مورد دیگر

Professor John Cosmas is a leading academic in digital media and broadcast networks at Brunel University London, within the College of Engineering, Design and Physical Sciences. He earned a BEng in Electronic Engineering (1978) from Liverpool University and a PhD in Image Processing (1987) from Imperial College, following industrial roles at Tube Investments and Fairchild Camera. His research spans 5G, Internet of Radio Light (IoRL), and convergence of broadcast/telecom networks. 2006-2008: PLUTO (530K EU project) 2004-2005: INSTINCT (750K EU project) 2000-2001: SAMBITS (250K EU project) His work integrates architectural and electronic design for radio-light networks in smart homes/museums, with recent focus on tactile internet and tele-surgery applications. Over 150 publications and supervision of 20+ PhD students highlight his impact in: 5G/Tactile Internet Antenna & Coverage Optimization Cultural Heritage Multimedia He has served as Associate Editor for IEEE Transactions on Broadcasting since 2006 and chairs IEEE symposia globally. His students now lead projects in 5G, IoT, and network management.

Gabriela Nicolescuمشاهده پروفایل

استاد

• Cybersecurity for Avionics
• Security by Design for Cyber-Physical Systems
• Advanced Programming Models for Avionic Multi and Many-Core Systems
• +۱۱ مورد دیگر

Gabriela Nicolescu is a Professor at Polytechnique Montréal , affiliated with the Department of Computer Engineering and Software Engineering and the LAMA-WeST (Web, Semantics and Text) research group. Her work focuses on design methodologies , programming , and security for advanced systems integrating 3D SoCs , optical networks , and heterogeneous technologies . Education: B.Sc. and M.Sc., Politehnica Bucharest Ph.D., Institut National Polytechnique de Grenoble (2002), awarded Best Thesis in Microelectronics Research Interests include cybersecurity for avionics , security by design for cyber-physical systems , advanced programming models for multi-core systems , and modeling/simulation of heterogeneous systems . She has contributed to fields like optical networks on chip , real-time embedded systems , and edge computing security . Recent Publications highlight her leadership in all-optical neural networks , formal verification , and security for avionic systems . Her work spans machine learning-driven intrusion detection , photonic integrated circuits , and ontology-based cybersecurity frameworks . Scientific Awards: Best Thesis in Microelectronics, Institut National Polytechnique de Grenoble (2002) Student Supervision encompasses doctoral and master’s theses in areas such as multi-core RTOS , security in autonomous systems , AI-based penetration testing , and performance optimization in avionics . Current advisees include Felipe Magalhaes , Julien Carayol , and Kacem Khaled , while completed supervision includes A. S. Shahnejat Bushehri and Rami Zrelli . She is actively involved in collaborative research projects addressing national cybersecurity priorities and safer aircraft design , as highlighted in media outlets like The Globe and Mail and Science-Presse .

• Teaching Chinese as a Second Language
• Language Teaching Materials Development
• Online Language Education
• +۲ مورد دیگر

Chao Li is a Lecturer of Chinese at the Georgia Institute of Technology's School of Modern Languages, part of the Ivan Allen College of Liberal Arts. He has been with Georgia Tech since 2001, focusing on teaching Chinese language at all proficiency levels and co-directing the Chinese Language for Business and Technology (LBAT) Program since 2006. His expertise includes developing online Chinese language courses, creating multimedia content, and compiling grammatical notes for effective language learning materials. Chao Li holds a Master of Arts in International Relations from Beijing Institute of Foreign Affairs and a Bachelor of Arts in Economics and Chinese from Yunnan University, China. He is a key figure in advancing online Chinese language education at Georgia Tech, emphasizing the integration of technology into language pedagogy. His work bridges language instruction with business and technology contexts, reflecting his commitment to practical, industry-relevant language training. His professional contributions include pioneering efforts in online course development, particularly in designing interactive and adaptive learning environments. While no formal awards are listed, his role in shaping Georgia Tech's Chinese language program highlights his significant impact on language education innovation. Chao Li’s teaching philosophy centers on student engagement through culturally immersive and technologically enhanced methodologies.

Manuel Jesus Lopez Sanchezمشاهده پروفایل

استاد

• Systems Engineering
• Automation
• Cyber-Physical Systems
• +۳ مورد دیگر

Manuel Jesus Lopez Sanchez is a tenured professor at the University of Cádiz, Spain, affiliated with the College of Engineering and the Department of Automatic Engineering, Electronics, Computer Architecture, and Networks. His work focuses on Systems Engineering and Automation, with expertise in Nonlinear Dynamics, Cyber-Physical Systems, Robust Control , and Advanced Process Control . He has developed control methodologies for chaotic systems, marine applications, and real-time simulation environments. Education: PhD in Systems Engineering (1999) - University of Cádiz PhD in Systems Engineering (1995) - University of Sevilla His research spans multiple domains including chaos control , marine automation , and real-time systems . Key contributions include H∞ controller designs for aircraft , adaptive ship stabilization systems , and open-source hard real-time environments . Article trends show sustained focus on robust control algorithms (7/15 articles), chaotic system stabilization (5/15 articles), and maritime automation (6/15 articles) since the 1990s. He has collaborated on numerous projects, including the development of the ControlAvH software for controller design and the EPESC real-time simulation system. His work integrates nonlinear control theory with practical hardware implementations , often through experimental validation using physical systems like chaotic circuits and marine vessels.