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Research

Research

R&D

Research and Development Cell

2

Policies

3

Publications

2

Partnerships

2

Projects

The Research and Development Cell (RDC) of our college is committed to fostering a culture of research, innovation, and knowledge creation among faculty, students, and research scholars. It works to promote high-quality research output, interdisciplinary collaboration, and linkages with industry and other academic institutions in alignment with NAAC and UGC requirements.
01

Research Framework

Governing policies and guidelines

College Research Policy

Intellectual Property Rights Policy

02

Knowledge Repository

Research publications and scholarly works

Research Paper on Renewable Energy

Journal Article

Dr. A Sharma, Prof. R Singh

International Journal of Renewable Energy2024ISSN: 1234-5678

Book on Artificial Intelligence

Book

Dr. P Verma

TechPress Publications2023ISBN: 978-1-2345-6789-0

E-Magazine - Science & Innovation 2024

E-Magazine

Prof. K Mehta

2024
03

Strategic Partnerships

MoUs and collaborative agreements

MoU with ABC Industries

Industry-academia collaboration for joint research in renewable energy solutions.

15-Jan-202315-Jan-2026

MoU with XYZ University

Collaborative research in Artificial Intelligence and Machine Learning.

01-Mar-202201-Mar-2027
04

Innovation Lab

Funded research projects

Solar-Powered Rural Electrification

Renewable Energy

Funding Agency

Department of Science and Technology (DST)

Grant Amount

₹50,00,000

Principal Investigator

Dr. A Sharma

Duration

01-Aug-2020 — 01-Aug-2023

Prof. Meena Verma

Associate Professor, Electrical Engineering

meena.verma@demo.com

Specializes in renewable energy systems and rural electrification projects.

Objective

To design and implement a sustainable solar power model for rural villages.

Deliverables

Installed solar microgrids in 5 villages

Training programs for local

AI for Crop Yield Prediction

Agricultural AI

Funding Agency

Indian Council of Agricultural Research (ICAR)

Grant Amount

₹30,00,000

Principal Investigator

Prof. R Singh

Duration

01-Apr-2020 — Present

Dr. Kavita Rao

Assistant Professor, Computer Science

kavita.rao@demo.com

Expert in machine learning models for precision agriculture and predictive analytics.

Objective

To develop AI models for accurate crop yield forecasting using satellite and weather data.

Deliverables

Prototype AI model for wheat yield prediction

Research paper in IEEE Transactions

05

Research Calendar

Events and academic gatherings

National Conference on Emerging Technologies

10-Feb-2024Main Auditorium

Workshop on Research Methodology

01-Aug-2020Seminar Hall
06

Research Team

Cell members and contact information

Director of Research

Head - Research and Development Cell

Research Coordinator

Faculty Research Coordinator