Electronics & Communication Engineering is a professional engineering discipline that deals with the design, development and maintenance of the Electronics & Communication, components, devices, instruments, as well as systems, including works like LANs, Wired, Optical, Mobile, Wireless, Satellite Communication Systems, Consumer Electronics, Diagnostic equipment, Measurement Instruments, and Electronic Warfare. A degree in Electronics & Communication Engineering prepares a professional to work in various engineering areas, from the sophisticated bio-medical diagnostic equipment to leading-edge fibre optic communications. Computers, Telecommunications, Consumer Electronics etc. Electronics & Communication engineers are involved with the design, development and maintenance of a huge range of systems as well as projects. Their role is central to ensuring the safe, light, user friendly, electronic systems for easing / aiding various walks of life. The Dept of Electronics & Communication Engineering at Techno India University comprises of an eminent faculty base, state-of-the-art infrastructure and a robust curriculum for making students industry-ready in the modern competitive world.
Our current application areas include quantum computing, where computation is performed using quantum bits (qubits) that leverage principles such as superposition and entanglement. Unlike classical systems, quantum models can process complex problems exponentially faster for specific domains such as cryptography, optimization, and simulation. Students are introduced to the mathematical foundations and emerging architectures, preparing them to explore the next frontier of computational science.
Our current application areas include the transition from IPv4 to IPv6, addressing the growing demand for global connectivity. IPv6 provides a vastly larger address space, improved security features, and better support for modern networking requirements. Students explore protocol design, migration strategies, and real-world implementation challenges
Our focus includes the design and development of advanced wireless technologies that power modern connectivity. Students explore systems based on 5G and emerging 6G networks, enabling ultra-high-speed data transfer, low latency, and massive device connectivity. Applications span smart cities, IoT ecosystems, and real-time communication systems.
Our curriculum explores the development of interconnected smart devices using Internet of Things frameworks. Students design sensor-based systems for applications in smart homes, healthcare monitoring, industrial automation, and environmental sensing, enabling intelligent and automated decision-making.
We explore ultra-high bandwidth communication systems based on Free Space Optical Communication, enabling data rates far beyond conventional RF systems. Students study wavelength multiplexing, beam shaping, and high-speed modulation techniques for applications in backbone networks and data centers.
Our focus includes the development of optical links between satellites using Laser Communication. Students analyze link design, pointing accuracy, and space channel effects, enabling secure, high-speed global communication networks.
We focus on high-speed communication links for unmanned aerial systems using Unmanned Aerial Vehicle platforms. Students design lightweight, low-power optical communication systems for surveillance, disaster management, and aerial networking.
Focuses on advancing chip performance, reducing power consumption, and enhancing security for AI, 5G, and IoT applications. Key areas include low-power circuit design, AI hardware acceleration, 3D integrated circuits, and electronic design automation tool development for advanced nodes. Research aims for smaller, faster, and more efficient integrated circuits.
Focuses on creating efficient, compact, and high-performance wireless components, with significant emphasis on 5G/6G millimeter-wave systems, IoT connectivity, and energy harvesting technologies
Develops algorithms and mathematical frameworks to manipulate system parameters for optimal performance, spanning mechanical, electrical, biological, and economic applications. Key areas include robust, adaptive, and nonlinear control, cyber-physical systems, and learning-based control. Research focuses on automation, stability, and intelligent decision-making in autonomous systems