Research and Development

The Postgraduate program is expected to nurture research attitude and aptitude within students. Students have access to state-of-the-art laboratories that provide hands-on experience with industry-standard tools and platforms such as Xilinx, Microwind, Synopsis, Mentor Graphics, ARM processors, and FPGA kits.
The curriculum places a strong emphasis on lab work, where students apply their learning to real-world problems and design projects. Students are encouraged to engage in research-driven projects, and the program supports research in cutting-edge areas like low-power design, hardware-software co-design, and high-performance embedded systems.

Project Work and Dissertation

In the second year, students work on a significant research project or industry-based problem, culminating in a dissertation. This project enables them to apply their academic knowledge to solve practical challenges in VLSI and embedded systems, often leading to industry collaborations or publication in leading journals and conferences.

Learning Methodology

Lectures and Tutorials: Delivered by experienced faculty with extensive academic and industry backgrounds.
Workshops and Seminars: Regular guest lectures, workshops, and seminars are organized to keep students updated on the latest developments in VLSI and embedded systems technology.
Industry Interaction: Close ties with leading companies and industry professionals ensure that students are exposed to real-world trends, tools, and practices.

Research Vision

The M. Tech program in VLSI and Embedded Systems at PCCoE focuses on developing advanced research capabilities in semiconductor design, embedded computing, and intelligent hardware systems. The program emphasizes innovation, industry relevance, and research publication, encouraging students to work on real-world problems using modern design tools and methodologies.

Through strong mentorship and research-oriented coursework, students actively contribute to scholarly publications, conference presentations, and prototype development in emerging technology domains.

Research Focus Areas

The program promotes research across interdisciplinary domains including:

VLSI Design and Semiconductor Systems

Digital and Analog VLSI Design
ASIC and FPGA Design
Low Power VLSI Architecture
Hardware Acceleration Techniques

Embedded Systems and IoT Embedded Processor Architecture

Embedded Processor Architecture
Real-Time Embedded Systems
Internet of Things (IoT) Systems
Edge Computing Platforms

Artificial Intelligence in Hardware

Machine Learning Hardware Accelerators
FPGA-based AI Implementations
Deep Learning Applications

Student Projects

The M. Tech program encourages students to undertake innovative research projects addressing real-world challenges in VLSI design, embedded systems, machine learning, automotive electronics, and intelligent hardware systems. Students work on industry-sponsored and in-house research projects, many of which involve FPGA platforms, AI algorithms, embedded processors, and IoT systems.

Batch 2023–2025

Sr. No.	Student Name	Project Title	Research Domain
1	Kunal A. Sonar	Cloud Integrated Banking ECU	Automotive Embedded Systems
2	Bhagyashri Mahajan	Smart Keyfob System	Automotive Electronics, IoT

Batch 2022–2024

Sr. No.	Student Name	Project Title	Industry / Organization	Research Domain
1	Preeti Ahire	Central Intelligence Device in Railway	Knorr Bremse	Embedded Systems, Railway Automation
2	Kunal A. Sonar	Cloud Integrated Banking ECU	Knorr Bremse	Automotive Embedded Systems
3	Bhagyashri Mahajan	Smart Keyfob System	Minda Technologies	Automotive Electronics, IoT

Batch 2021–2023

Sr. No.	Student Name	Project Title	Industry / In-house	Research Domain
1	Mayuri Talekar	Design an Automated CI-CD Environment for Embedded Systems	KPIT Technologies	Embedded DevOps Systems
2	Meghana Supe	Cardiac Arrhythmia Detection using CNN	In-house	AI in Healthcare, Deep Learning

Batch 2020–2022

Sr. No.	Student Name	Project Title	Industry / In-house	Research Domain
1	Santosh Aiwale	Anemia Detection using Machine Learning	In-house	Healthcare AI
2	Anudita Baghel	FPGA Customized Instruction ANN Architecture for Signal Processing	In-house	FPGA & AI Hardware
3	Mansi Surve	Speech Emotion Recognition using Python	In-house	Speech Processing, AI
4	Akash Date	Accelerator on FPGA	In-house	Hardware Acceleration
5	Sayali Nimande	Stock Price Sentiment Analysis Prediction	In-house	Financial Data Analytics
6	Nilesh Patil	GPU Based Real-time Latency Reduction System	In-house	High Performance Computing
7	Seema Sidheshwar	Covid-19 Future Forecasting using Machine Learning	In-house	Predictive Analytics
8	Swapna Kshatre	Battery Management System for Electric Vehicles	In-house	Electric Vehicle Systems

Student Research Publications

Students of the M. Tech program actively publish their work in reputed international journals and conferences.

Year	Student(s)	Research Area	Journal/ Conference
2024	Rutuja Shinde, Varsha Harpale, N.B. Chopade	Vehicle-to-Vehicle Communication using DSRC Protocol	International Journal of Advanced Research in Science and Engineering
2023	Akash Kate, Deepti Khurge	FPGA Based Hardware Accelerator for Bio-informatics Applications	Asian Conference on Innovation in Technology
2023	Anudita Bagal, Varsha Harpale	FPGA Implementation of ANN using Customized Instruction Set for Signal Processing	ICCUBEA Conference
2023	Rane Munali, Bendre Varsha	Ordered Statistical Methods for Target Detection in RADAR	ICCUBEA Conference
2023	Talekar Mayuri, Varsha Harpale	CI-CD Workflow for Embedded System Design	ICCUBEA Conference
2023	Meghana Supe, Varsha Bendre	Automated Skin Disease Detection using CNN	ICCUBEA Conference
2023	Suratawala D.P., Harpale V.	Pollutant Reduction Techniques for Non-road Combustion Ignition Engines	DJ Journal of Engineering Science
2021	Mrunal Patil, V.K. Harpale	Chest X-Ray Diagnosis using Deep Learning	ICETEMS International Conference
2021	Ankita Yadav, Varsha Bendre	Verification of 16-bit RISC Processor using Vedic Mathematics	ESCI Conference
2020	Bhosale Ganesh, Rathale D., Chopade N.B.	PHY Layer Design for HIM in GNU Radio	ICMETE Conference
2020	Darshit Suratawala, Ganesh Rathale	VHDL Implementation of Encryption Algorithm on FPGA	ICTIS Conference

Department of Electronics and Telecommunication