pooja_in_1
  • Associate Professor
  • Computer Science Engineering
  • poojaagarwal@pes.edu
  • 9686794009, 080 – 66186623

Qualification :
Ph.D. (Pursuing )
M.Tech (CSE)

Professinal Experience
1 yr as a Software engineer at Harmonic Software Pvt Ltd

1 yr as Lecturer at ABES Engineering College, Ghaziabad

4 yrs as Senior Lecturer and Asst .Professor at Oxford College of Engineering, Bangalore

July 2008 – Till date - Working as Associate Professor at PESIT South Campus

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
CRM

  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, Abhijit Theo, Arti Arya, J. Suryaprasad, "Leveraging Different Machine Learning Rules in Hopfield Nets for Multiclass Classification", Future Technologies Conference (FTC) International Conference, technically sponsored by IEEE - 2017 held on 29-30 November 2017 in Vancouver, BC, Canada.
  10. Pooja Agarwal, Arti Arya, J.Suryaprasad, Abhijit Theo, 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) ,July 2017
  11. 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.
  12. 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