جستجوی استاد راهنمای دانشگاهی

Mohammed Oualiمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization Algorithms
• Image Processing
• +۷ مورد دیگر

Mohammed Ouali is an Associate Professor and Department Chair of Computer Science at Adrian College. He holds an M.Sc. in Computer Science and Engineering from Université de Versailles Saint-Quentin-en-Yvelines (1995), and dual Ph.D.s in Real-Time Robotics and Automatic Control from Mines ParisTech (2000) and Mathematics and Computer Science from the University of Sherbrooke (2000). Prior to joining Adrian College, he worked at Thales Canada in safety-critical real-time systems. IEEE member since 1995. Education M.Sc. Computer Science & Engineering - Université de Versailles Saint-Quentin-en-Yvelines (1995) Ph.D. Real-Time Robotics & Automatic Control - Mines ParisTech (2000) Ph.D. Mathematics & Computer Science - University of Sherbrooke (2000) Research Interests : Focus on machine learning optimization, hyperspectral image processing, and medical diagnostics. Key contributions in metaheuristic algorithms (Gray Wolf, Salp Swarm), clustering methods , and feature selection for cancer diagnosis and remote sensing applications. Article Trends : Recent work emphasizes hybrid optimization techniques for hyperspectral data, clustering validation metrics , and automated medical diagnosis . Earlier research includes dense stereovision algorithms and VLSI architectures for signal processing. Honors : Institute of Electrical and Electronics Engineers (IEEE) Member (1995-present)

• Network Security
• Android Security
• Cloud Computing Security
• +۷ مورد دیگر

Manoj Singh Gaur is a Professor in the Department of Computer Science and Engineering at Malaviya National Institute of Technology Jaipur (MNIT Jaipur), India. With a publication record spanning over two decades from 2003 to present, he has established himself as a prominent researcher in computer security and architecture. His work primarily focuses on network security, Android security, and Network-on-Chip architectures, with extensive collaborations with researchers from institutions worldwide including University of Padua (Italy), University of Southampton (UK), and other Indian institutions. Dr. Gaur's research interests encompass a broad spectrum of cybersecurity challenges, particularly in mobile and cloud environments. His work addresses critical issues such as Android malware detection, information leakage prevention, DDoS mitigation in cloud environments, and secure deduplication techniques. In computer architecture, he has made significant contributions to Network-on-Chip design, fault tolerance mechanisms, and power-efficient router microarchitectures. His research methodology often combines theoretical analysis with practical implementation, resulting in solutions that address real-world security and performance challenges. Analysis of his recent publications (2020-2023) reveals a continued focus on mobile security, particularly Android application security, with numerous papers on vulnerability detection, permission analysis, and information leakage prevention. Simultaneously, his work in Network-on-Chip architectures demonstrates sustained interest in fault-tolerant routing algorithms and performance optimization for multi-core systems. The interdisciplinary nature of his research, bridging security and architecture concerns, represents a distinctive contribution to the field. Dr. Gaur has mentored numerous students who have co-authored publications with him, indicating an active research group focused on cutting-edge security and architectural challenges. His collaborative approach is evident in the diverse set of co-authors spanning multiple continents, reflecting international recognition of his expertise.

Rajit Manoharمشاهده پروفایل

استاد

• Asynchronous VLSI Design
• Concurrency
• Formal Methods
• +۵ مورد دیگر

Rajit Manohar is the John C. Malone Professor of Electrical & Computer Engineering at Yale University, with appointments in Applied & Computational Mathematics and Computer Science. He is a core member of the interdisciplinary Computer Systems Lab (CSL), which bridges ECE and CS departments. His research focuses on asynchronous VLSI design, neuromorphic computing, and hardware-software co-design. Education: Manohar holds a B.S., M.S., and Ph.D. from the California Institute of Technology. His academic career spans over two decades, with notable contributions to asynchronous circuit theory and neuromorphic engineering. Research Interests: Manohar's work emphasizes energy-efficient asynchronous architectures, concurrency control, and biologically inspired computing. He explores topics like formal methods for circuit verification, cognitive systems, and dynamic sensor networks. His lab develops tools like Fluid (asynchronous synthesis) and Neurobench (neuromorphic benchmarking). Publications: Recent work includes advancements in asynchronous logic synthesis (Maelstrom), neuromorphic frameworks (Neurobench), and scalable brain-computer interfaces (SCALO). His research often intersects NSF-funded projects in energy-aware computing and neuromorphic systems. Awards: Inaugural Misha Mahowald Prize (2025), MIT TR35 (2000s), IBM Goldberg Award (2023) Grants & Labs: Manohar leads NSF-supported initiatives in carbon-aware networking and neuromorphic hardware. The Computer Systems Lab collaborates across disciplines to advance sustainable computing and neuro-inspired architectures.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +۳ مورد دیگر

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +۳ مورد دیگر

Милорад Б. Тошић is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. He earned all his academic degrees (BSc 1989, MSc 1992, PhD 1998) from the same institution in Electrical Engineering and Computer Science. His research spans Semantic Web Technologies, Distributed Systems, and E-Learning Systems, with notable contributions in federated testbeds, trust-based peer assessment, and collaborative wiki tagging. His work bridges theoretical computer science with practical applications in education and embedded systems. His publication trends show consistent contributions from 1991 to 2014, with recent focus shifting from hardware design (1990s) to semantic technologies and e-learning systems (2000s-2010s), demonstrating adaptability across evolving technological domains. US Patent Application No. 09/636,552 for Internet-Enabled Embedded Device Technology validated by Motorola, Microchip, Philips, and Delphi As former Science and Technology Advisor to the Serbian Minister (2002-2003), he contributed to national science policy. His current research involves 4 national and 3 international projects totaling 7 impact-factor journal publications. His patented embedded device technology has achieved commercial validation through major global electronics firms.

Arie Ruzinمشاهده پروفایل

استاد

• Semiconductor Detectors
• Radiation Effects in Semiconductors
• Compound Semiconductors
• +۳ مورد دیگر

Prof. Arie Ruzin is a faculty member at the School of Electrical Engineering, Tel Aviv University, affiliated with the Department of Physical Electronics. His research focuses on semiconductor detectors for radiation and particle detection, with applications in medical imaging, non-destructive testing, and high-energy physics experiments. Research Interests Prof. Ruzin's work spans several key areas: Development of compound semiconductor detectors (CdZnTe, InSb, SiGe) for X-ray, gamma-ray, and particle detection Investigation of radiation-induced defects in semiconductors and radiation-hardness enhancement techniques Device simulation (1D/2D/3D) of novel semiconductor structures Nano-contact physics and atomic force microscopy (AFM) characterization Novel semiconductor materials including 2D materials and compensated semiconductors His research often involves collaborations with international institutions like CERN's RD50 Collaboration. Publications Overview Recent publications (2010-2015) demonstrate a strong focus on semiconductor contact physics, radiation detector optimization, and nano-scale characterization. Key themes include modeling of ohmic/Schottky contacts, radiation damage simulations in CdZnTe/SiGe, and nano-contact behavior. The work consistently applies advanced simulation techniques alongside experimental validation. Student Advising Prof. Ruzin actively recruits graduate students (M.Sc./D.Sc.) for research projects involving: Radiation detector development and characterization Semiconductor device simulation AFM-based nano-scale measurements VLSI circuit design for detector systems He also mentors undergraduate students in projects related to LabVIEW programming, electronic measurements, and VLSI design. Laboratory Activities He leads a research laboratory equipped for semiconductor device characterization, including atomic force microscopy (AFM), deep-level transient spectroscopy (DLTS), and radiation testing capabilities. The group participates in the CERN RD50 collaboration focusing on radiation-hard semiconductor detectors for high-energy physics experiments.