The following represent the main research areas This Lab has been focusing on in recent years, reflecting our commitment to advancing fundamental knowledge and real-world applications in electrical and computer engineering:
We dedicate a significant part of our research to signal processing and communications. We develop advanced algorithms for analyzing, transmitting, and receiving signals across various communication channels. Our goal is to enhance data transmission efficiency, reduce noise, and increase channel capacity in real-world applications such as wireless communication, radar systems, satellite links, and the Internet of Things.
In our lab, we work on cutting-edge topics like adaptive filtering, MIMO systems, error correction, and spectrum management.
Major focus of our lab is computer vision and machine learning. We aim to teach machines how to interpret and make sense of visual information through intelligent algorithms. Our projects span a wide range of applications, including autonomous vehicles, biometric recognition, medical diagnostics, and industrial quality control. We explore deep learning architectures, real-time processing methods, and pattern recognition techniques to create systems that can analyze visual data efficiently and accurately.
Many of our projects are interdisciplinary, combining insights from robotics, and neuroscience to build adaptable and intelligent vision-based systems.
This Lab is actively involved in research on VLSI design and embedded systems. We focus on creating efficient and scalable hardware architectures that form the foundation of modern electronic systems, from wearable devices to advanced computing platforms. Our work includes low-power circuit design, hardware-software co-design, and development of system-on-chip solutions.
Using tools like hardware description languages and FPGA prototyping, we address challenges in performance, energy efficiency, and miniaturization. We're constantly exploring new ways to integrate emerging sensor technologies and meet the growing demands of high-performance embedded systems.
Cybersecurity is critical area of research in our lab, with a special emphasis on hardware-level security solutions. We investigate how to design secure systems that can resist a wide range of attacks — from software-based intrusions to physical and side-channel attacks on embedded hardware. Our work involves developing cryptographic architectures, secure protocols, and tamper-resistant hardware components.
We also explore methods for detecting anomalies, implementing lightweight encryption for resource-constrained devices, and protecting data integrity in embedded and IoT systems. We are committed to creating robust, secure solutions that can withstand evolving cyber threats across both civilian and defense applications.
