Qualification :
M.Tech (CSE)

Professinal Experience

15 Years of teaching experience

1 Year of industry experience

Current Role:
Project Coordinator
IPOMO Coordinator

Previous responsibilities at institution:
Class Coordinator
Timetable Coordinator
Seminar Coordinator
Project Coordinator

  1. Data Mining
  2. Machine Learning
  3. Artificial Intelligence
  4. Unix System Programming
  5. Automata Theory
  6. Data Structures
  7. Algorithms

Machine Learning
Deep Learning
Data Mining

  1. Arya A., Agarwal P. et al.: Automatic Fuzzy Classification tool for Customer Loyalty using Gaussian Membership Function. In Ciit Intl. J. of Data Mining and Knowledge Engineering (ISSN (print): 0974-9683, online: 0974-9578), July 2010.
  2. Arya A., Agarwal P.: FDTACCT: Fuzzy Decision Tree Based Automatic Classifier for Customer Loyalty. In Proc. of International Conference on Data Management 2010 (March 11-12, 2010), Ghaziabad.
  3. Shristi Drolia, ShreyRupani, Pooja Agarwal and Abheejeet Singh. Automated Essay Rater using Natural Language Processing. International Journal of Computer Applications 163(10):44-46, April 2017.
  4. Pooja Agarwal, Arti Arya, Suryaprasad J., Abhijit Theophilus, "A Machine Learning based Approach to Multiclass Classification of Customer Loyalty using Deep Nets" has been accepted in “The International Review on Computers and Software“ (IRECOS) (acceptance on 14 July 2017).
  5. Pooja Agarwal, Abhijith Theo, Arti Arya, J SuryaPrasad, “Leveraging Different Machine Learning Rules in Hopfield Nets for Multiclass Classification” accepted for presentation at IEEE Technically Future Technologies Conference(FTC 2017), 29-30 Nov 2017, Vancouver, BC, Canada.
  6. Abin Martin Jones, Arti Arya, Pooja A, Purvasha G, Tejas A, “An Ontological Sub-Matrix Factorization based Approach for Cold-Start Issue in Recommender Systems “ Accepted for presentation at IEEE Conference CTCEE 2017 to be held in Mysuru on 8-9 Sep 2017.
  7. Pooja Agarwal, Surya Prasad J. and Arya A. Article: A Naïve Hopfield Neural Network based Approach for Multiclass Classification of Customer Loyalty. Communications on Applied Electronics 2(5):36-43, July 2015. Published by Foundation of Computer Science (FCS), NY, USA.
  8. Varsha V, Arti Arya, Pooja Agarwal, Lakshmi S and Sanjay Balana, Iterative Machine and Deep Learning Approach for Aviation Delay Prediction,UPCON-International Conference 2017 held from 26-28 Oct 2017.
  9. Pooja Agarwal, Arti Arya, Suryaprasad J., “Comparative Study of Gaussian and Z-shaped curve membership function for Fuzzy Classification Approach" Submitted in “International Journal of Computer Sciences and Engineering IJCSE" on 24th Aug 2017
  10. Sharma R., Arya A., Pooja Agarwal et. al (2019) “A Naive Deep Nets Based Approach for Authenticating Viral Textual Content on Social Media”, IEEE Intelligent Systems and Applications. IntelliSys, September 2018, London, United Kingdom published in Advances in Intelligent Systems and Computing, vol 869. Springer.
  11. Aravindhan V., Deepak Kumar, Pooja Agarwal, “Plant Disease Detection and Classification Using Deep Neural Networks”, International Journal on Computer Science and Engineering (IJCSE) e-ISSN: 09753397, Vol. 11 Aug 2019
  12. B. Nidutt, Akshat Trivedi, Pooja Agarwal, “Automating Traffic Signals based on Traffic Density Estimation in Bangalore using YOLO”, 4th International Conference on Information Systems and Computer Networks [Nov-2019] and published in IEEE Xplore digital library in Feb 2020
  13. B.Reshma, Pooja Agarwal, DH Rohith Kumar “Aviation Delay Estimation using Deep Learning”, 4th International Conference on Information Systems and Computer Networks [Nov-2019] and published in IEEE Xplore digital library in Feb 2020