NIT Warangal

Information

Room No: Cluster No. 4, CSE building Extension Block +91-870-2462719 priyankac@nitw.ac.in Bio Sketch

Key Notes

Journal(s): 14
Book Chapter(s): 5
PhD: Current - 2

19

PUBLICATIONS

2

DOCTORAL STUDENTS

2

PROJECTS

Research Areas

Artificial Intelligence

Cloud Computing

Nature Inspired Computing

Software Engineering

EDUCATION QUALIFICATION

Degree	Institute	Year
Doctor of Philosophy	Thapar University, Patiala	2016

COURSES HANDLED

Course	L-T-P	Credit	Degree Level
Problem Solving through Programming(CD16001)	4-0-0	4	PG
Programming and Data Structures(CS1101)	3-0-0	3	UG
Object Oriented Programming(CD16006)	3-0-0	3	PG
Software Engineering Principles(CS5303)	3-0-0	3	PG
Object Oriented Programming(CS202)	3-0-0	3	UG
Advanced Software Engineering(CS5105)	3-0-0	3	UG, PG
Object Oriented Programming(CS4354)	3-0-0	3	PG
Cloud Computing(CS374)	3-0-0	3	UG

RESEARCH IDs

PUBLICATIONS

Journal(s)

Deep Learning-Based Maize Crop Disease Classification Model in Telangana Region of South India,, By M. Nagaraju and P. Chawla, IEEE, IEEE Transactions on AgriFood Electronics, vol.vol. 2, no. 2,, pp.627-637, 2024

Deep Learning-Based Maize Crop Disease Classification Model in Telangana Region of South India, By M Nagaraju, P Chawla, IEEE , IEEE Transactions on AgriFood Electronics, vol., pp., 2024

EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models. , By Usha Mittal, Priyanka Chawla. & Tiwari, R. , Springer, Neural Computing & Applications , vol., pp., 2023

Maize crop disease detection using NPNet-19 convolutional neural network. , By Nagaraju, M., Priyanka Chawla. , Springer, Neural Computing & Applications , vol., pp., 2023

EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models., By Usha Mittal, Priyanka Chawla. & Tiwari, R. , Springer, Neural Computing & Applications, vol., pp., 2023

Vehicle detection and traffic density estimation using ensemble of deep learning models, By Usha Mittal, Priyanka Chawla, Springer, Multimedia Tools & Applications, vol., pp., 2023

HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model, By Kanchan Sitaram Pradhan, Priyanka Chawla, Rajeev Tiwari. , Elsevier, Expert Systems with Applications,, vol., pp., 2023

Convolution network model based leaf disease detection using augmentation techniques, By M Nagaraju, Priyanka Chawla, S Upadhyay, R Tiwari. , Wiley, Expert Systems, vol., pp., 2022

Performance improvement of Deep Learning Models using image augmentation techniques. , By Nagaraju, Priyanka Chawla, P. & Kumar, N. , Springer, Multimed Tools Applications , vol., pp., 2022

Water quality prediction of salton sea using machine learning and big data techniques, By Priyanka Chawla, Xiyu Cao, Yichen Fu, Ching-min Hu, Meng Wang, Shenquan Wang & Jerry Zeyu Gao , Taylor & Francis, International Journal of Environmental Analytical Chemistry., vol., pp., 2021

DEEDSP: Deadline-aware and energy efficient dynamic service placement in integrated Internet of Things and Fog computing environments. , By Meeniga Sri Raghavendra, Priyanka Chawla, and Sukhpal Singh Gill. , Wiley, Transacations of Emerging Telecommunication Technology. , vol., pp., 2021

Framework for cloud-based software test data generation service, By Priyanka Chawla, Inderveer Chana, Ajay Rana. , Wiley, Software Practice Experience , vol., pp., 2019

Cloud-based automatic test data generation framework, By Priyanka Chawla, Inderveer Chana, Ajay Rana. , Elsevier, Journal of Computer and System Sciences, vol., pp., 2016

A novel strategy for automatic test data generation using soft computing technique. , By Priyanka Chawla, Chana, I., & Rana, A. , Springer, Frontiers of Computer Science , vol., pp., 2015

Book Chapter(s)

Computational Intelligence-Based Carbon Neutral Wireless Networks for Edge-Cloud Continuum By Raghubir Singh, Priyanka Chawla, and Sukhpal Singh Gill. in Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks , Springer, Edited, 2025

Computational Intelligence-Based Optimal Service Placement in Fog-Enabled IoT Networks. By Shivshankar Kumar,Thatikonda Supraja, Priyanka Chawla, Raghubir Singh, and Sukhpal Singh Gill. in Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks , Springer, Edited, 2025

Case Study of Plant Disease Detection and Safe Transportation Using Convolutional Neural Networks: A Systematic Review and Open Challenges By M.Nagaraju, Priyanka Chawla in Artificial General Intelligence (AGI) Security, Springer, Edited, 2024

Waste management sustainability using cloud and fog computing By Shantanu Bindewari, Anand Singh, Rajeev Tiwari, Priyanka Chawla in Cloud and Fog Optimization-based Solutions for Sustainable Developments, CRC Press, Edited, 2024

Fog computing: Advancing Sustainable Development Goals (SDGs) By Premkumar Chithaluru, Pallati Narsimhulu, N Sudhakar Yadav, Priyanka Chawla, Rajeev Tiwari in Cloud and Fog Optimization-based Solutions for Sustainable Developments, CRC Press, Edited, 2024

PROJECT / CONSULTANCY

Design and development of lightweight, cost-effective and energy-aware Fog-based crop yield recommendation, disease diagnosis and management system using Artificial Intelligence rural techniques for rural India

Role: Principal Investigator
Type: Research
Sponsor: ANRF
Project Cost (INR): 5600000
Date of Commencement: 19-06-2025
Duration: 36 Months
Status: Ongoing

Design and Development of Service placement scheme for Cloud-integrated Fog Computing

Role: Principal Investigator
Type: Research
Sponsor: MHRD/RSM-NITW
Project Cost (INR): 500000
Date of Commencement: 01-05-2024
Duration: 24 Months
Status: Ongoing

RESEARCH FELLOWS / PhD STUDENTS

Current PhD Students

Saurabh Gupta

Area of Research: Cloud Computing

T. Supraja

Area of Research: Cloud Compurting

CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME

ADDITIONAL RESPONSIBILITIES

Last updated on March 11, 2026

Prof. Priyanka Chawla

Associate Professor

Department of Computer Science and Engineering

Information

Key Notes

19

2

2

Research Areas

Current PhD Students