Pooja Agarwal completed her Bachelor's degree in 1998 from CCS University, Meerut and Masters in Computer Science in 2001 from Banasthali Vidyapith, Rajasthan and was awarded the PhD degree in Computer Science with primarily focusing in the area of machine learning and deep learning from Visvesvaraya Technological University in 2018. Since July 2008, she is associated with PES institutions at PESIT Bangalore South Campus (now PES University- EC Campus). She has worked with over a hundred students on various projects at the undergraduate and masters? levels on the application areas of data science, machine learning, soft computing, natural language processing, data analytics, deep architectures etc. She has around 15+ publications in various reputed International Conferences and Journals.
Member IEEE, Member IAENG.
Chaired two sessions in International Conference ICACCI at PESIT, Bangalore in Sept 2018.
Chaired sessions in RETCOMP 11-12 Jan2013 at PESIT, Bangalore.
Chaired a session in RISE- 2018 at PESIT, Bangalore.
Co-authored two books titled Computer Oriented Numerical and Statistical Methods and Numerical Methods.
Got Appreciation Certificate for attaining 100% results for B.Tech and M.Tech classes many times.
Attended various workshop and international conference.
Handled Data Mining, Data Science, Machine Learning, Artificial Intelligence, Data Warehousing, Software Engineering, Theory of Computations, Formal Languages, Unix Shell Programming, unix System Programming, DAA, Data Structures for B.Tech and M.Tech students
Professor in Dept. of CSE
Chairperson, Anti sexual harassment committee (Internal Complain Committee), EC Campus
Dept Coordinator- Internal Quality Assurance Cell
Faculty Adviser of "Code Chef" coding chapter
Machine Learning, Deep Learning and Natural Language Processing
Prashant Agarwal, Ravi Kumar GVV, Pooja Agarwal," IOT based Framework
for Smart Campus: Covid-19 Readiness", IEEE, Fourth world conference on
Smart Trends in systems, security and sustainability(WorldS4), London, UK,
2020, doi: 10.1109/WorldS450073.2020, pg 539-342
Chinmayi Hegde, Suman Dash, Pooja Agarwal, "Vehicle Trajectory prediction
using GAN", IEEE Fourth International conference on I-SMAC, Coimbatore,
ISBN:978-1-7281-5463-3, page 496-501, Nov 2020.
Nishita Vaddem, Pooja Agarwal, "Myers Briggs personality prediction using
Machine Learning techniques", International Journal of Computer Application
(0975-8887), Vol. 175-No 23, ISBN: 973-93-80901-41-5, page 41-44, Oct 2020.
Monica S, Pooja Agarwal, Arti Arya, "Ransomware Detection Techniques in the
Dawn of Artificial Intelligence: A Survey", 2020 5th International Conference on
Network Security, Tokyo, Japan, to be held on Dec 18-20, 2020.
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
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
Sharma, Richa, Agarwal, Pooja et al. "A Naive Deep Nets Based Approach for
Authenticating Viral Textual Content on Social Media." Proceedings of SAI
Intelligent Systems Conference. Springer, Cham, 2018
Pooja Agarwal, Abhijith Theo, Arti Arya, SuryaPrasad J., "Leveraging Different
Machine Learning Rules in Hopfield Nets for Multiclass Classification" Accepted
for presentation at IEEE Conference, Future Technologies Conference (FTC
2017), 29-30 Nov 2017, Vancouver, BC, Canada
Varsha V, Arti Arya, Pooja Agarwal, Lakshmi S, Sanjay Balana "Iterative
Machine and Deep Learning Approach for Aviation Delay Prediction" at IEEE UPCON 2017, on 26-28th Oct 2017, GLA
Abin Martin Jones, Arti Arya, Pooja Agarwal, Purvasha G, Tejas A, "An
Ontological Sub-Matrix Factorization based Approach for Cold-Start Issue in
Recommender Systems" at IEEE Conference CTCEE- 2017 in Mysuru on Sep 2017.
Arya A, Agarwal Pooja: FDTACCT: Fuzzy Decision Tree Based Automatic
Classifier for Customer Loyalty. InProc. Of International Conference on Data
Management 2010 (March 11-12, 2010), Ghaziabad
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
Agarwal, Pooja, Arya, A., Suryaprasad, J., Theophilus, A., A Machine Learning
based Approach to Multiclass Classification of Customer Loyalty using Deep
Nets, (2017) International Review on Computers and Software (IRECOS), 12(2),
Pooja Agarwal, Arti Arya, Suryaprasad J., "Comparative Study of Gaussian and
Z-shaped curve membership function for Fuzzy Classification Approach"
Accepted in International Journal of Computer Sciences and Engineering IJCSE
UGC approved, Aug 2017.
Pooja Agarwal, Abheejeet Singh et al. "Automated Essay Rater using Natural
Language Processing", International Journal of Computer Applications
163(10):44-46, April 2017
Pooja Agarwal, Surya Prasad J. and Arya A. Article: A Na�ve 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. Communications on Applied
Electronics (CAE) 2(5),36-43, July 2015
Arya A., Agarwal Pooja. 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.