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Electronics & Telecommunication Engineering

Head of Department: Dr. Viswanath Talasila

About the Department

Overview

The Department of Telecommunication Engineering was established in the year 1996. The Department offers undergraduate program in B.E with an intake of 60 students. The Department was renamed, Electronics and Telecommunication Engineering in the year 2019 by Visvesvaraya Technological University. The graduate engineering program is governed by a robust and dynamic Quality Management system that covers all academic and co-curricular activities including course revision, delivery, evaluation, laboratory assignments, and seminars. The department has state of the art laboratory, equipment resources, and committed faculty having the best of the academic and industry recognition. The Institute is autonomous from 2007. The U.G program is accredited by NBA in the year 2004, 2010, 2016, 2019, 2022 and 2025 and valid for 3 years till 2028. The P.G program is accredited by NBA in the year 2019 and valid for 3 years till 2022. The department has a Research Centre recognized by VTU, Belgaum, offering M.Sc (Engg.) by research and Ph.D. programs since 2012. The department has 14 faculty members; 11 are Ph.D. holders, and the others are pursuing Ph. D.s. The faculty members have competence in Core areas of Digital Signal Processing, Image Processing, Control Systems, Mobile Adhoc Networks, Wireless Sensor Networks, Internet of Things, Embedded Systems, Wireless Networking, DSP Processors, RF Communication, Neural Networks, Fuzzy Logic, VLSI Design, Microstrip Antenna Design, Meta Material Structure analysis and MIMO Array antenna. The department has collaboration with some of the leading industries (Ansys, JV Micronics, Rohde and Schwarz, Nokia, Intel, Samsung, Techni Lab Instruments, NAL, LRDE) and with leading national and international universities like Bradley university, IIT-M, Stanford University enabling the department to focus on R & D, thus providing new avenues for PG/UG students for placement and higher studies. The department has introduced new pedagogical initiatives in teaching-learning, one highlight is the inclusion of MOOC courses in the selected courses of curriculum. New labs have been introduced into the curriculum with support from the industry; such as the Microwave & Antenna Lab with support from ANSYS and Digital Circuit design with support from Agimus Technologies. The department has established a Centre of Excellence – “Centre for Antennas and Radio Frequency Systems” (CARFS). This is a world class research lab equipped with a state of the art Anechoic Chamber and related instrumentation. There has been a significant increase in student involvement in industry sponsored projects by companies such as SAMSUNG, Elena Geosystems and Stellantis. Four professional chapters have been opened to carry out technical activities for improving the technical skill set of students and faculty. Students are also strongly involved in activities of Technical Societies, such as IEEE and IETE. Apart from this, students are encouraged to participate in co-curricular and extra-curricular activities at the state, national and international level and our students have won many prestigious awards. A sizeable number of students have pursued their higher education at various premier institutes in India and abroad after having qualified GATE, GRE & TOEFL exams. The students undergo internships at various premier institutes in India and abroad. The faculty have quality publications in SCI and SCOPUS indexed journals, book chapters and conferences. The department faculty have good number of patents. The department faculty research is funded by national and state funding agencies like DST, BIRAC, AICTE, VGST and industries like Stellantis, SAMSUNG, Elena Geosystems, ABB and many more.

Vision

To provide an ambience for the students to excel in studies, research and innovation, focusing on meeting global socio-economic needs from a Telecommunication Engineering perspective.

Mission

Providing high-quality technical education to create world-class telecommunications engineers. Creating an ambience for skills development, research, and entrepreneurial activities to meet socio-economic needs.

Programmes Offered

Click a programme to view details, outcomes, syllabus, and more.

Department Faculty

Meet the educators and researchers guiding our department.

Labs & Infrastructure

WIRELESS NETWORKS LABORATORY

WIRELESS NETWORKS LABORATORY

The Wireless Network Laboratory provides students with hands-on experience in the simulation, configuration, and performance evaluation of wired, ad-hoc, and cellular networks using the Network Simulator 3 (NS-3) platform. Students develop and execute simulation scripts to design network topologies, configure communication parameters, implement and evaluate routing protocols, and analyze network performance under different scenarios. The laboratory also introduces students to Wireshark for real-time packet capture, protocol analysis, and troubleshooting. Through these practical exercises, students gain a comprehensive understanding of network behavior, routing mechanisms, packet-level communication, and performance metrics in both wired and wireless networking environments.

WIRELESS NETWORKS LABORATORY

WIRELESS NETWORKS LABORATORY

The Wireless Network Laboratory provides students with hands-on experience in the simulation, configuration, and performance evaluation of wired, ad-hoc, and cellular networks using the Network Simulator 3 (NS-3) platform. Students develop and execute simulation scripts to design network topologies, configure communication parameters, implement and evaluate routing protocols, and analyze network performance under different scenarios. The laboratory also introduces students to Wireshark for real-time packet capture, protocol analysis, and troubleshooting. Through these practical exercises, students gain a comprehensive understanding of network behavior, routing mechanisms, packet-level communication, and performance metrics in both wired and wireless networking environments.

Microwave and Antenna Engineering lab.

Microwave and Antenna Engineering lab.

The Microwave and Antenna Laboratory provides state-of-the-art infrastructure for testing, modelling, and characterizing high- frequency RF systems and specialized antenna architectures. Features precision X-band waveguide test benches to evaluate active sources, standing wave parameters, transmission line impedance, and substrate material properties. Equipped to measure power division, coupling coefficient, directivity, and isolation across waveguide components and planar microstrip circuits. Facilitates complete far-field radiation testing to measure directivity, gain, and half-power beam width (HPBW) for wire, horn, reflector, and array antennas. Integrates industry-standard Ansys HFSS 3D EM simulation software for full-wave modelling, S-parameter extraction, and 3D radiation pattern analysis of microstrip patch antennas and arrays.

Microwave and Antenna Engineering lab.

Microwave and Antenna Engineering lab.

The Microwave and Antenna Laboratory provides state-of-the-art infrastructure for testing, modelling, and characterizing high- frequency RF systems and specialized antenna architectures. Features precision X-band waveguide test benches to evaluate active sources, standing wave parameters, transmission line impedance, and substrate material properties. Equipped to measure power division, coupling coefficient, directivity, and isolation across waveguide components and planar microstrip circuits. Facilitates complete far-field radiation testing to measure directivity, gain, and half-power beam width (HPBW) for wire, horn, reflector, and array antennas. Integrates industry-standard Ansys HFSS 3D EM simulation software for full-wave modelling, S-parameter extraction, and 3D radiation pattern analysis of microstrip patch antennas and arrays.

Advanced Embedded System Lab

Advanced Embedded System Lab

Advanced Embedded Systems Lab provides hands-on experience with STM32-based ARM Discovery boards, beginning with simulation- based ARM programming, instruction-set concepts, and fundamental data-processing operations using Kiel µVision. Students progress to hardware-based interfacing and control involving GPIO, UART, ADC, PWM, I²C, SPI, LCD, keypad and sensors, followed by advanced embedded applications. The lab further explores Low power features, FreeRTOS, BLE, LoRa/Sub-GHz communication, camera-based edge vision, and CAN bus, equipping students with practical skills for developing real-time and connected embedded systems.

Advanced Embedded System Lab

Advanced Embedded System Lab

Advanced Embedded Systems Lab provides hands-on experience with STM32-based ARM Discovery boards, beginning with simulation- based ARM programming, instruction-set concepts, and fundamental data-processing operations using Kiel µVision. Students progress to hardware-based interfacing and control involving GPIO, UART, ADC, PWM, I²C, SPI, LCD, keypad and sensors, followed by advanced embedded applications. The lab further explores Low power features, FreeRTOS, BLE, LoRa/Sub-GHz communication, camera-based edge vision, and CAN bus, equipping students with practical skills for developing real-time and connected embedded systems.

IOT Systems Lab.

In this lab students will use Raspberry Pi to interface multiple sensors, collect and visualize live data. Sensors range from simple temperature sensors to FSRs to Infrared Cameras. Along the way students will learn how to calibrate sensors, how to configure the ADC's to study effect on measurement resolution and the impact of sensor noise on measurements. Finally, students will use standard machine learning techniques to perform simple data classification. Python will be the programming language used for all experiments.

IOT Systems Lab.

In this lab students will use Raspberry Pi to interface multiple sensors, collect and visualize live data. Sensors range from simple temperature sensors to FSRs to Infrared Cameras. Along the way students will learn how to calibrate sensors, how to configure the ADC's to study effect on measurement resolution and the impact of sensor noise on measurements. Finally, students will use standard machine learning techniques to perform simple data classification. Python will be the programming language used for all experiments.

Antenna Engineering for IOT Lab

The Antenna engineering for IOT Laboratory for M.Tech in IoT and Sensor Systems provides an advanced, hands-on simulation environment for designing, modelling, and optimizing next- generation wireless connectivity hardware. The curriculum bridges fundamental 3D electromagnetic principles with industrial sensor integration—progressing from planar IoT node radiators to body-centric wearables, mmWave 5G arrays, and smart antenna-based sensing structures using Ansys HFSS.

Antenna Engineering for IOT Lab

The Antenna engineering for IOT Laboratory for M.Tech in IoT and Sensor Systems provides an advanced, hands-on simulation environment for designing, modelling, and optimizing next- generation wireless connectivity hardware. The curriculum bridges fundamental 3D electromagnetic principles with industrial sensor integration—progressing from planar IoT node radiators to body-centric wearables, mmWave 5G arrays, and smart antenna-based sensing structures using Ansys HFSS.

Fundamentals of Electronics and Communication Lab

Fundamentals of Electronics and Communication Lab

The Fundamentals of ECE Laboratory provides hands-on exposure to the basic concepts of electronics and communication engineering. Students perform experiments involving electronic components, rectifiers, diodes, transistors, operational amplifiers, and digital logic circuits. The laboratory helps students understand circuit operation, measurement techniques, and practical applications of fundamental ECE principles. It develops essential skills in circuit assembly, testing, troubleshooting, and analysis using laboratory instruments.

Fundamentals of Electronics and Communication Lab

Fundamentals of Electronics and Communication Lab

The Fundamentals of ECE Laboratory provides hands-on exposure to the basic concepts of electronics and communication engineering. Students perform experiments involving electronic components, rectifiers, diodes, transistors, operational amplifiers, and digital logic circuits. The laboratory helps students understand circuit operation, measurement techniques, and practical applications of fundamental ECE principles. It develops essential skills in circuit assembly, testing, troubleshooting, and analysis using laboratory instruments.

Analog Circuit Design Lab

Analog Circuit Design Lab

The Analog Circuit Design Laboratory provides hands-on experience in the design, simulation, testing, and analysis of amplifiers, oscillators, filters, multivibrators, regulators, PLLs, ADC/DACs, and instrumentation amplifiers. Students develop practical skills in analog circuit implementation, measurement, troubleshooting, and performance evaluation using ICs, electronic components, and simulation tools. The laboratory also introduces AI-based simulation of op-amp circuits, integrating conventional analog circuit design with modern intelligent and computational techniques.

Analog Circuit Design Lab

Analog Circuit Design Lab

The Analog Circuit Design Laboratory provides hands-on experience in the design, simulation, testing, and analysis of amplifiers, oscillators, filters, multivibrators, regulators, PLLs, ADC/DACs, and instrumentation amplifiers. Students develop practical skills in analog circuit implementation, measurement, troubleshooting, and performance evaluation using ICs, electronic components, and simulation tools. The laboratory also introduces AI-based simulation of op-amp circuits, integrating conventional analog circuit design with modern intelligent and computational techniques.

Introduction to Machine Learning Lab

Introduction to Machine Learning Lab

Analog and Digital Communication Lab

Analog and Digital Communication Lab

The Analog and Digital Communication Laboratory bridges theoretical signal processing principles with practical hardware implementations and software simulations. The course progresses sequentially through continuous-wave analog modulation, pulse digitizing techniques, digital passband keying, and algorithmic information theory.

Analog and Digital Communication Lab

Analog and Digital Communication Lab

The Analog and Digital Communication Laboratory bridges theoretical signal processing principles with practical hardware implementations and software simulations. The course progresses sequentially through continuous-wave analog modulation, pulse digitizing techniques, digital passband keying, and algorithmic information theory.

Digital Signal Processing Lab

Digital Signal Processing Lab

Skill Enhancement Lab

Skill lab provides comprehensive foundation in data processing, GenerativeAI and data structures. Students gain experience in data manipulation, RAG based systems, conversational AI and efficient implementation of data structures and algorithms.

Skill Enhancement Lab

Skill lab provides comprehensive foundation in data processing, GenerativeAI and data structures. Students gain experience in data manipulation, RAG based systems, conversational AI and efficient implementation of data structures and algorithms.

Antenna Fabrication Lab

The Antenna Fabrication Lab is a specialized laboratory used to design and fabricate different types of antennas, such as dipole, monopole, Yagi-Uda, microstrip patch, horn, and loop antennas, using suitable materials and fabrication techniques. The laboratory provides various equipment and tools for cutting, drilling, soldering, PCB fabrication, and mechanical assembly. The main objective of the lab is to provide students with practical knowledge of the complete antenna design, fabrication, and testing process. It also helps students understand how fabrication dimensions, material properties, and construction techniques influence the performance and characteristics of an antenna.

Antenna Fabrication Lab

The Antenna Fabrication Lab is a specialized laboratory used to design and fabricate different types of antennas, such as dipole, monopole, Yagi-Uda, microstrip patch, horn, and loop antennas, using suitable materials and fabrication techniques. The laboratory provides various equipment and tools for cutting, drilling, soldering, PCB fabrication, and mechanical assembly. The main objective of the lab is to provide students with practical knowledge of the complete antenna design, fabrication, and testing process. It also helps students understand how fabrication dimensions, material properties, and construction techniques influence the performance and characteristics of an antenna.

Advanced Engineering mathematic for Machine Learning Lab

The Advanced Engineering Mathematics for Machine Learning Laboratory provides students with hands-on exposure to the mathematical foundations underlying modern Machine Learning and Artificial Intelligence. The laboratory enables students to apply concepts from linear algebra, probability, statistics, calculus and numerical methods to practical machine learning problems. Through computational exercises and data-driven experiments, students develop skills in matrix operations, data representation, statistical analysis, optimization and model evaluation. The laboratory bridges theoretical mathematics with practical ML applications, strengthening students’ analytical, computational and problem-solving abilities and preparing them for advanced studies and industry applications in AI, Machine Learning and Data Science.

Advanced Engineering mathematic for Machine Learning Lab

The Advanced Engineering Mathematics for Machine Learning Laboratory provides students with hands-on exposure to the mathematical foundations underlying modern Machine Learning and Artificial Intelligence. The laboratory enables students to apply concepts from linear algebra, probability, statistics, calculus and numerical methods to practical machine learning problems. Through computational exercises and data-driven experiments, students develop skills in matrix operations, data representation, statistical analysis, optimization and model evaluation. The laboratory bridges theoretical mathematics with practical ML applications, strengthening students’ analytical, computational and problem-solving abilities and preparing them for advanced studies and industry applications in AI, Machine Learning and Data Science.

Other Facilities

Department Library

Department Library

The Department Library serves as a valuable academic resource centre, supporting the teaching, learning, and research needs of students, faculty, and staff. With a collection of 1000+ books, the library offers access to a wide range of titles covering core subjects, emerging technologies, reference materials, and allied areas of Electronics and Telecommunication Engineering. The collection is carefully curated to complement the academic curriculum while encouraging independent learning and knowledge enhancement. Students can utilize the library resources for coursework, projects, seminars, competitive examinations, and research activities. Faculty and staff can also access the resources to support teaching, professional development, and scholarly pursuits.

Department Library

Department Library

The Department Library serves as a valuable academic resource centre, supporting the teaching, learning, and research needs of students, faculty, and staff. With a collection of 1000+ books, the library offers access to a wide range of titles covering core subjects, emerging technologies, reference materials, and allied areas of Electronics and Telecommunication Engineering. The collection is carefully curated to complement the academic curriculum while encouraging independent learning and knowledge enhancement. Students can utilize the library resources for coursework, projects, seminars, competitive examinations, and research activities. Faculty and staff can also access the resources to support teaching, professional development, and scholarly pursuits.

Centre for Antennas and Radio Frequency Systems (CARFS)

Centre for Antennas and Radio Frequency Systems (CARFS)

CARFS is engaged in advanced research, design, innovation, training and consultation in the field of Antennas and Radio Frequency subsystems for Wireless Systems OBJECTIVES OF THE CENTRE To conduct Advanced Research leading to innovations in the areas of Antennas and RF systems. To offer Consultancy Services and to seek external Funding from the government agencies and industry. To collaborate with Industrial partners in the design and development of novel Antennas and RF systems for applications in wireless systems. To offer Workshops and short term courses to train Engineers in the Wireless Industry. Train students in the Research and Design of Antennas and RF systems. To publish Journal articles and Patents.

Centre for Antennas and Radio Frequency Systems (CARFS)

Centre for Antennas and Radio Frequency Systems (CARFS)

CARFS is engaged in advanced research, design, innovation, training and consultation in the field of Antennas and Radio Frequency subsystems for Wireless Systems OBJECTIVES OF THE CENTRE To conduct Advanced Research leading to innovations in the areas of Antennas and RF systems. To offer Consultancy Services and to seek external Funding from the government agencies and industry. To collaborate with Industrial partners in the design and development of novel Antennas and RF systems for applications in wireless systems. To offer Workshops and short term courses to train Engineers in the Wireless Industry. Train students in the Research and Design of Antennas and RF systems. To publish Journal articles and Patents.

Top Recruiters & Industry Collaboration

Top Recruiters

INFOSYS
Schneider Electric
Accenture
TATA Consultancy Services
Zycus
IBM India
KPMG
Deloitte US

Industry Partners / Collaborations

MoU with NOKIA

MoU with STELLANTIS


Placements

2022 Batch: 84% placed Average Package: 8 LPA Highest Package: 17 LPA

Research Areas

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Publications

Journal Articles

  1. 1.

    AI modelling-based reconfigurable dual band antenna for GPS and ISM bands with metamaterial superstrate for high gain application

    Amit, S., Shashidhar, R., Talasila, V. et al · Discov Appl Sci · 2025

  2. 2.

    Augmenting Conventional Therapy with Non-immersive Virtual Reality to Enhance Balance, Coordination, Motivation, and Functional Performance in Children with Spastic Diplegia Cerebral Palsy: A Single-Blinded Randomized Trial

    Dwarkadas, A.L., Talasila, V., Kassim, N. et al · Arab J Sci · 2025

  3. 3.

    AI-IoT-ENABLED CROP MONITORING THROUGH CROP STAGE AND LEAF DISEASE IDENTIFICATION USING PECFIS AND DGBESCNN

    ABIRAMI, N., MEKALI, H. V., YADAV, S. G. S., ANAKATH, A. S., Y., P. M. A. M. A., SENTHILKUMAR, S., BEGUM, A. U., & RAJARAM, A · Journal of Environmental Protection and Ecology · 2025

  4. 4.

    BCMT: Bidirectional Cross-Modality Transformer for Remote Sensing Image Captioning

    S. G. S. Yadav, S. S. M. Reddy, P. B. Divakarachari, R. K. V. Penmatsa and H. D. Praveena · IEEE Access · 2026

  5. 5.

    Deep Encoder–Decoder Model (Deep EDM) for Efficient CSI Feedback in MIMO Systems

    Pundalik Chavan, Geetha Pawar, H. R. Ramya, Smitha G. Prabhu, S. Rohith, H. V. Ramachandra, H. Hanumanthappa, H. C. Ramaprasad · SN Computer Science · 2026

  6. 6.

    Design and Implementation of Textile-Based Broadband Antenna for 5G Wearable Applications

    Nisha. S. L, G. Raga, K. Shivam and S. S. Raga · International Conference on Mobile Networks and Wireless Communications

  7. 7.

    Analysis of tuberculosis detection using deep learning technique and explainable artificial intelligence

    Shashikiran Srinivas, Kavita Avinash Patil, Kushalatha Monappa Rama, Sudha Venkateshlu, Jayanthi Muthuswamy, Srinivas Babu Narayanappa · IAES International Journal of Artificial Intelligence

Other Publications

  1. 1.

    Multi-Source Data Fusion using Graph Attention Residual GCN for Urban Air Quality Prediction

    Subhra Chakraborty, Mahadev Kalyanrao Patil, S.G. Shivaprasad Yadav, Girija Vani G and Talari Ashok · ”, ITM Web of Conferences, International Conference on Knowledge Engineering and Information Systems

  2. 2.

    AI-Driven Beamforming for 5G Networks Using Intelligent Antenna Arrays

    M. K. C, B. R, B. R, U. Padma and S. G. S. Yadav · International Conference on Computational System and Information Technology for Sustainable Solutions · 2025

  3. 3.

    Digital Twin for Device to Device Communication

    D. R, R. Bhagya, B. R, S. G Shivaprasad Yadav and U. Padma · International Conference on Computational System and Information Technology for Sustainable Solutions · 2025

  4. 4.

    FLPE-Vision: A Federated Lightweight and Privacy-Enhanced Vision Framework for Intelligent Surveillance Systems

    S. G. ShivaprasadYadav, Amit Chaudhary, Pradeep Kumar. S, S. Nandakumar and Sakthivel Subramaniam · International Conference on Mobile Networks and Wireless Communications · 2026

  5. 5.

    Real Time IoT-Based Air Quality Monitoring System with 5G

    Prajwal . M V, Kusuma. S. M., Reena. B W, Vivek. B V, Sharon. T. Joseph and Shashank. C · International Conference on Intelligent Computing and Communication Systems · 2026

  6. 6.

    Real-Time Data Drift Detection for Anomaly Detection Services in Multivariate Time Series Using Deep Learning within MLOps Pipelines

    B. P. Vijaya Kumar, P. Shekinah and S. M. Kusuma · IEEE International Conference on Electronics, Computing and Communication Technologies · 2025

  7. 7.

    AI/IoT–Enabled Precision Hydroponics System for Optimal crop yield

    Arvind . K. G, Parth. Navale, Puneeth. S. L, Puneeth. H. M and Bharath. R. K · Asia Pacific Conference on Innovation in Technology · 2026

  8. 8.

    An Open VLA Powered Robot with ROS2 for Autonomous Elder Care Assistance

    Abhinav V S, Anirudh Sanjeev, Vijaya Madhavi C M, Abhishek R, Mohd Saad Shaikh., · International Conference on Networks, Multimedia and Information Technology · 2026

  9. 9.

    Implementation of ANFIS Based PI Controller for BLDC Motor Driven Electric Vehicles

    K. H. Reddy, S. Sharma, Vijaya Madhavi. C. M, S. Shilpashree, Praveen K. C and Sridhar S · International Conference on Computational System and Information Technology for Sustainable Solutions · 2026

Achievements

NBA ACCREDITED

Board of Studies

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