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Dr. Poorva Agrawal

Assistant Professor

  •   Ph.D.

Dr. Poorva Agrawal obtained her Ph.D. degree in Computer Science and Engineering from Symbiosis International (Deemed University), Pune, India in 2020. She obtained her M.Tech degree in Computer Science and Engineering from SGSITS, Indore, India in 2012.

She has been engaged in research and teaching for more than 12 years. At present, she is working as a Senior Assistant Professor in the CSE Department at Symbiosis Institute of Technology Nagpur, Symbiosis International (Deemed University) Pune, MH, India. She has presented more than 20 papers in International/National Journals/ Conferences. Her research interests include Artificial Intelligence, Machine Learning, Data Science, Image Processing, and Computer Vision.

  • Artificial Intelligence
  • Programming in C
  • Specialization
    1. Soft Computing
    2. Artificial Intelligence
    3. Machine Learning
  • Focus
    1. Deep Learning

Journal

No. Information
1 Gagandeep Kaur, Poorva Agrawal, H. Shelar, “Intelligent Search Engine Tool for Querying Database System”, International Journal of Mathematical, Engineering and Management Sciences (In-Press).
2 Gagandeep Kaur, Rashi Pande, Ritika Mohan, Shlok Vij, Poorva Agrawal, et. al , "A Comprehensive Review of Metaverse: Taxonomy, Impact, and the Hype around It", Engineering Proceedings. March 2024; 62(1):6.
https://doi.org/10.3390/engproc2024062009
3 Gagandeep Kaur, Poorva Agrawal, Shobhane P, Shruti Maheshwari, Latika Pinjarkar, Rupali Gangarde, “Social Media in the Digital Age: A Comprehensive Review of Impacts, Challenges and Cybercrime”, Engineering Proceedings. March 2024; 62(1):6.
https://doi.org/10.3390/engproc2024062006
4 Gagandeep Kaur, Poorva Agrawal, Latika Pinjarkar, et. al “Predictive Modeling of Bitcoin Prices Using Machine Learning Techniques”, International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 17s, Feb. 2024, pp. 578-86.
5 Poorva Agrawal et. al, “Employing CNN Features for Automated Brain Tumor Classification in MRI”, International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 11s, Jan. 2024, pp. 380-6,
https://ijisae.org/index.php/IJISAE/article/view/4458.
6 Poorva Agrawal et. al, “Predict Employee Churn Rate Using Machine Learning Techniques”, European Chemical Bulletin, Volume -12, Special Issue-5(Part-A), May 2023
7 Poorva Agrawal, Sanjeev Pippal et. al, “A Bibliometric and Word Cloud Analysis on the Role of the Internet of Things in Agricultural Plant Disease Detection”, Applied System Innovation, 2571-5577, Scopus and WoS indexed, Feb 2023.
8 Poorva Agrawal, Gagandeep Kaur, Anusha, “Artificial Intelligence-Based Method to Improve Tourism with the Help of Android Studio”, International Journal of Innovative Technology and Exploring Engineering, Vol. 10, Issue 6, April 2022, pp 50-56.
9 Poorva Agrawal, Vijayshri Khedkar, “A Real-time Continuous Sweeping Strategy for Multiple Cleaning Robots”, Solid State Technology, Feb 2021.
10 Poorva Agrawal, Gagandeep Kaur, Snehal Sagar Kolekar, “Investigation on biomedical waste management of hospitals using cohort intelligence algorithm”, Soft Computing Letters, Elsevier Vol. 3, November 2020.
11 H Shelar, G Kaur, N Heda, P Agrawal, “Named Entity Recognition Approaches and Their Comparison for Custom NER Model”, Science & Technology Libraries, 2020 Vol 39, No. 3, pp. 324-337
12 Gagandeep Kaur, Poorva Agrawal, “An In-Depth Survey on Massive Open Online Course Outcome Prediction”, Book chapter on Cybernetics, Cognition and Machine Learning Applications Springer, 2020, pp. 11-21
13 Poorva Agrawal, Himanshu Agrawal, Vidyasagar Potdar,“A novel bio-inspired algorithm for hunting in multi robot scenario”, Indonesian Journal of Electrical Engineering and Computer Science, Vol 15, No. 3 Sept 2019, pp. 1553-1563.
14 Snehal Sagar Kolekar, Poorva Agrawal, “Optimization Techniques to Solve Waste Management Problem: A Review”, Indian Journal of Public Health Research & Development, Vol 10, No. 8, Aug 2019, pp. 764-768.
15 Poorva Agrawal, Himanshu Agrawal, “Adaptive algorithm design for cooperative hunting in multi-robots”, International Journal of Intelligent Systems and Applications, Vol 10, No. 12, Dec 2018, pp. 47-55.
16 Poorva Agrawal et. al, “A survey on text document categorization using enhanced sentence vector space model and bi-gram text representation model based on novel fusion techniques”, 2nd International Conference on Inventive Systems and Control, 2018, pp. 218-225.
17 Yuga Hatolkar, Poorva Agrawal, Seema Patil, “A Survey on Road Traffic Sign Recognition System using Convolution Neural Network”, International Journal of Current Engineering and Technology, Vol 8, No. 1, Feb 2018, pp. 104-108.
18 Dagim Solomon, Seema Patil, Poorva Agrawal, “Predicting Performance and Potential Difficulties of University Student using Classification: Survey Paper”, International Journal of Pure and Applied Mathematics, Vol 118, Issue 18, 2018, pp. 2703- 2707.
19 Vikram More, Poorva Agrawal,” Study on Aesthetic Analysis of Photographic Images Techniques to Produce High Dynamic Range Images”, International Journal of Computer Applications (0975 – 8887) Volume 159 – No 8, February 2017.
20 Aboli Gorkar, Poorva Agrawal, “Task Allocation for Multirobot: A Survey”, International Journal of Computer Technology and Applications, 9(10), 2016, pp. 1-11.
21 Ashay Urade, Poorva Agrawal, “MLMN: An Efficient Framework for Multi-Layer model for Novelty Detection in Data Mining”, Journal of Theoretical and Applied Information Technology, Vol 90, Issue 1, Aug 2016.
22 Gebrehiwot Abraha, Poorva Agrawal, “Robotic Failure Coordination In Multi-Robot Hunting”, International Journal of Engineering Research- online, Vol. 4, issue 2 April 2016.
23 Poorva Agrawal and Dr. Himanshu Agrawal, "A Review on Multi Robot Cooperation using Bio Inspired Neural Networks", IJSCMC, Nov 2013. Volume 2, Number 4, ISSN no.- 2201-4160.pp - 15-24.
24 Raviraj Mane, Poorva Agrawal, Nisha Auti, "Literature Survey on Sparse Representation for Neural Network Based Face Detection and Recognition", Circuits and Systems: An International Journal (CSIJ), Vol. 1, No.2, April 2014, pp 23-31.
25 Poorva Agrawal, Aruna Tiwari, “On Construction of Binary Higher Order Neural Networks and Realization of Boolean Functions”, International Journal of Computer Applications and Information Technology, 2012.
26 Poorva Agrawal, Aruna Tiwari, “Realization of Boolean Functions Using Binary Higher Order Neural Network”, International Journal of Advanced Engineering Research and Studies, 2012

Conferences

No. Information
1 Pranav Sharan, Mohit Mutyal, Himanshu Agrawal, Poorva Agrawal, “Simulation Study of Multi-Robot for Intelligent Transportation System”, IEEE Conference (India), ISBN: 978-1-4799-5362-2, December 2014, pp 1-5.

S. S. Badhiye, P. N. Chatur, B. V. Wakode, Temperature & Humidity Prediction using Data Mining, Lambert Academic Publishing, ISBN: 978-3-659-20110-3

Application No. C.B.R No. Title Filed Date
202421016113 10936 Image Similarity Measurement with Local Transform Based Similarity Metric 7th March 2024
  • Certified from Nvidia DLI Fundamentals of Accelerated Computing with CUDA C/C++and accelerating CUDA C++ Applications with multiple GPUs
  • Received an award by HR Success talk for the Global Young Women Excellence Award in July 2022 ❖ Attended many Faculty Development Programme and Workshops
  • Worked on Industry sanctioned projects in collaboration with the Institute
  • Reviewer of reputed journals: Springer Nature of Computer Sciences, IEEE Transactions on Systems, Man and Cybernetics
  • Completed NN and Deep Learning Coursera course
  • Gate qualified with 92 percentile in year 2012
  • Gate qualified with 93.04 percentile in year 2010