Electronics & Communication Engineering

Dr. Pardeep Garg

Dr. Pardeep Garg
Assistant Professor (SG)
pardeep.garg@juit.ac.in, garg.pardeep22@gmail.com
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Biography :

Dr. Pardeep Garg is working as Assistant Professor (SG) in the department of ECE at JUIT, Waknaghat. He joined the ECE Dept. of JUIT on July 10, 2010 as a Lecturer. Before joining JUIT, he has worked as a Lecturer in ECE department in two engineering colleges affiliated to Kurukshetra University, Kurukshetra for around 3.5 years. He has also served IIIT, Hyderabad as a Research Assistant for the DST sponsored project, "Wireless Sensor Networks" for 03 months.
He has supervised 4 M.Tech. Theses, and around 51 B.Tech projects. He has published research papers in various journals having SCI, SCOPUS indexing, conferences and book chapters of reputed publishers. He has served as Session Chair in Technical Sessions of conferences sponsored by IEEE, and Springer. He has reviewed more than 100 technical research papers of reputed publishers like Springer, Elsevier, Taylor and Francis having SCI, ESCI, and SCOPUS indexing; also conferences like sponsored by IEEE, Springer etc.
He secured 2nd rank in ECE discipline in M.Tech. He also secured first rank in 2nd sem of M.Tech in the university with 9.4 SGPA. Being a meritorious student, he achieved state level scholarships twice for excellence in academics. He has also received silver medal in state level mathematics talent search competition.
He is working as a Warden of Boys Hostel since 01-January-2014 at JUIT Waknaghat and in this tenure he has been the Warden of all Boys Hostel of JUIT. Also, he is working as Deputy Chief Warden of JUIT hostels w.e.f. 01-02-2024.
He is an active member of the MoU of JUIT (ECE Department) with Mitsubishi Electric India (MEI) Pvt. Ltd. and is the Coordinator of MITSUBISHI FACTORY AUTOMATION LAB at JUIT Waknaghat.


Awards & Achievement:

Pardeep Garg along with his Ph.D supervisor Dr. Sunil Datt Sharma received 'The Best Paper' award amongst the papers presented in the technical session EC05 on 20-03-2021 for the paper titled, 'CpG Islands Identification in DNA Sequences using Modified P-Spectrum based Algorithm' in the 2021 International Conference on Advances in Smart Sensor, Signal Processing and Communication Technology (ICASSCT 2021) held at Goa University, Goa, India during 19-20 March 2021. The proceedings of the conference are published in Journal of Physics: Conference Series journal.


Area of Specialization/ Research Interests:

Genomic Signal Processing, Digital Image Processing, Internet of Things (IoT), Applications of Machine Learning etc.


Doctoral Degree (Ph.D.) Guidance: Ongoing-02

1. Name of the Research Scholar: Ms. Ritika Rattan
Enrolment Number : 236002
Type of Degree: Full-Time
Status: Ongoing
Registration Date: 04-08-2023
Guidance: Joint (Supervisor1: Dr. Pardeep Garg, Supervisor2: Dr. Pankaj Dhiman)
Area of Research: Deep Learning Framework for Medical Images Identification

2. Name of the Research Scholar: Mr. Aayush Sharma
Enrolment Number : 236206
Type of Degree: Part-Time (JUIT Faculty)
Status: Ongoing
Registration Date: 23-10-2023
Guidance: Joint (Supervisor1: Dr. Nancy Singla, Supervisor2: Dr. Pardeep Garg)
Area of Research: Development of Deep Learning Framework for Video Processing Applications


Patents Filed/Published/Granted:

Title Inventors Filling/ Application No. Date of filing Published Date

Real-time automated recognition and classification of Indian Arts and Paintings using AI and Deep Learning

Vansh Anand (B.Tech CSE) and Dr. Pardeep Garg (ECE)


September 14, 2023

December 15, 2023



Incubatees Supervised under Technology Incubation & Entrepreneurship Development Cell (TIEDC) of JUIT Waknaghat till date are as follows:

S. No.  Title of the Project Incubatees Duration of the Project Status



Zeeshan, Mukul Anand, Shikhar Trivedi, and Vaibhav

11 March 2022-10 March 2023

Successfully Completed



Ankit Dhiman

August 2019-July 2020

Successfully Completed


List of Projects under my supervision open for UG students is as following:

1. Area: Applications of Machine Learning (ML)
i) Prediction and Analysis of various quantities like Stock Market Price, Sentiments etc. using ML.
ii) Audio Signal Classification (Speech signal) using ML.
2. Area: Digital Image Processing - Image Enhancement, Image Segmentation - ML can also be employed.
3. Area: Internet of Things (IoT) - Some Real-World projects in which existing technologies can be made SMART with the help of Internet of Things (IoT).

Author Publication Profile:
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