careers@pes.edu +91-8055524555
Computer Science
ElectronicCityCampus
poojaagarwal@pes.edu
+91-80-66186610

Dr. Pooja Agarwal

Professor
Bio
Teaching
Responsibilities
Research
Publications

Education

  • Doctor of Philosophy (Ph.D), Visvesvaraya Technological University, July 2018
  • M.Tech (Computer Science), Banasthali Vidyapith, Rajasthan, Dec 2001
  • M.Sc.(Theoretical Computer Science), Banasthali Vidyapith, Rajasthan, June 2000
  • Bachelor of Science, CCS University, Meerut, May 1998

Experience

  • Professor, PES University, 2018-Till Date
  • Associate Professor, PESIT Bangalore South Campus, 2011-2018
  • Assistant Professor, PES School of Engineering, EC Campus, 2008-2011
  • Assistant Professor, TOCE, Bangalore, 2007-2008
  • Senior Lecturer, TOCE, Bangalore, 2004-2007
  • Lecturer, ABES Engineering College, Ghaziabad, 2002-2003
  • Intern and Software Engineer, Harmonics Software Pvt Ltd., 2001-June-2002-June

Additional Information

  • 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.

Achivements

  • 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

Research Interest

  • Machine Learning, Deep Learning and Natural Language Processing

Conferences

  • 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 Feb 2020

Journals

  • 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
  • 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
  • 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), pp. 103113.
  • 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
  • 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.
  • 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 University, Mathura.
  • 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.
  • 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.
  • 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