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Prof. Priyanka Chawla

PhD (Thapar University, Patiala)

Associate Professor

Department of Computer Science and Engineering

Room No: Cluster No. 4, CSE building Extension Block +91-870-2462719
priyankac@nitw.ac.in
7982750652 Edit Profile Bio Sketch

Research Areas

 Artificial Intelligence

 Cloud Computing

  Nature Inspired Computing

 Software Engineering

  • Courses Handled
  • Research IDs
  • Selected Publications
  • Project/Consultancy
  • Current PhD Students
  • Awards and Accolades
  • Additional Responsibilities
  • Object Oriented Programming Laboratory(CS205)
  • Object Oriented Programming(CS202)
  • Software Engineering Principles(CS5303)
  • Software Engineering Lab(CS5307)
  • Project Work(CS499)
  • Programming and Data Structures(CS1101)
  • Programming and Data Structures laboratory(CS1103)
  • Seminar - II(CS6148)
  • CASE Tools Laboratory(CS307)
  • Advanced Software Engineering(CS5105)
  • Seminar - I(CS5198)
  • Object Oriented Programming Lab(CS4358)
  • Cloud Computing(CS374)
  • Object Oriented Programming(CS4354)
  • ORC ID: 0000-0002-6029-4122
  • SCOPUS ID: https://www.scopus.com/authid/detail.uri?authorId=56487355200
  • Google Scholar ID: https://scholar.google.co.in/citations?user=ByZDgyUAAAAJ&hl=en


  • 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
  • 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
  • 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
  • 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
  • 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
  • Performance improvement of Deep Learning Models using image augmentation techniques. , By Nagaraju, Priyanka Chawla, P. & Kumar, N. , Springer, Multimed Tools Applications , vol., pp., 2022
  • Framework for cloud-based software test data generation service, By Priyanka Chawla, Inderveer Chana, Ajay Rana. , Wiley, Software Practice Experience , vol., pp., 2019