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Prof. Priyanka Chawla

Associate Professor

Department of Computer Science and Engineering

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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
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    Google Scholar
    Google Scholar ID
    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
    •  Chairperson, Women Cell (Continuing from July, 2024)
    •  Faculty Advisor B.Tech (CSE) AI&DS (Continuing from July, 2024)
    •  Faculty Advisor, CMHW (Continuing from June, 2024)
    •  Faculty Advisor, B.Tech (CSE) (August, 2022 - July, 2023)
    •  Faculty Advisor, MCA II year (August, 2022 - June, 2023)
     Last updated on March 11, 2026