Search
Close this search box.
Dr. Pooja Agarwal

Dr. Pooja Agarwal

Dr. Pooja Agarwal

Professor

Professor

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.

Achievements

  • 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.

Teaching

  • Digital CMOS Integrated Circuits, VLSI Design and Testing, Hardware Security and Verification, Electronic Devices and Crcuits, Analog & Linear Integrated Circuits, Digital VLSI Design, Microprocessors, Analog Communication Engineering, Digital System Design

Teaching

  • 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

  • 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), pp. 103113.
  • 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.

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
  • 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, 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.

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.

Achievements

  • 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.

Teaching

  • Digital CMOS Integrated Circuits, VLSI Design and Testing, Hardware Security and Verification, Electronic Devices and Crcuits, Analog & Linear Integrated Circuits, Digital VLSI Design, Microprocessors, Analog Communication Engineering, Digital System Design

Teaching

  • 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

  • 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), pp. 103113.
  • 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.

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
  • 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, 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.

Staff Contacts

Staff Contacts

Staff Campus Location

Staff Campus Location