Dr. Parul Agarwal

Assistant Professor (Senior Grade)

parul.agarwal@jiit.ac.in, cs.er.parul@gmail.com

Biography

In my 10 years teaching experience, I have taught subjects like Data Structures, Object-oriented systems and programming, Database systems and web, soft computing, machine learning and big data, Fuzzy logic neural networks, Computational intelligence, etc. I have guided various graduate and post graduate projects in the field of various fields of computational intelligence, machine learning, soft computing, nature inspired algorithms, etc. I have been actively participating in various conferences, faculty development programs, and workshops. I have published various articles in reputed SCI/Scopus journals, conferences and book chapters. I am reviewer of various international journals. I have been in publication committee of International Conference on Contemporary Computing (IC3) since 2014. Presently I am guiding 2 Ph.D. in the field of data science.

Education

Ph.D. (Thesis Title: Novel Variants of Nature Inspired Algorithms for Clustering High Dimensional Data) from Jaypee Institute of Information Technology in June 2019.
M.Tech. (Computer Science and Engineering with Specialization in Distributed Systems), July 2010– May 2012 from Banasthali University, Jaipur, Rajasthan.
B.Tech. (Computer Science and Engineering), Aug 2006 - May 2010 from Uttar Pradesh Technical University, Lucknow.

Work Experience

Teaching Experience:

Working as an Assistant Professor(Senior grade)in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from 01-07-2019 to till date.
Worked as an Assistant Professor in the Department of Computer Science & Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, Noida, U.P. from 08-07-2013 to 30-06-2019.
Worked as Contractual Lecturer in the Department of Computer Science & Information Technology at Institute of Engineering and Technology, Lucknow from July 2012 to June 2013.

Interest Area(s)

Nature Inspired Algorithms, Data Mining, Machine Learning, Soft Computing, Hybrid Intelligent Techniques, and Natural Language Processing, High dimensional clustering, etc.

Publications

Google Scholar Link:

https://scholar.google.com/citations?user=q1OCvewAAAAJ&hl=en

Journals

P. Agarwal, A. Sahoo, & D. Garg, “An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction”, Annals of Data Science, 2024, pp. 1-17, https://doi.org/10.1007/s40745-023-00509-w
S. Mehta, P. Kaur, and P. Agarwal, “Improved whale optimization variants for SLA-compliant placement of virtual machines in cloud data centers”, Multimedia Tools and Applications, 2023. https://doi.org/10.1007/s11042-023-15528-1.
P. Agarwal, R. K. Agrawal, and B. Kaur, “Multi-objective particle swarm optimization with guided exploration for multimodal problems,” Applied Soft Computing, vol. 120, p. 108684, 2022, doi: 10.1016/j.asoc.2022.108684 (SCI indexed, Impact factor-8.236).
P. Agarwal, A. Dutta, T. Agrawal, N. Mehra, and S. Mehta, “Hybrid Nature-Inspired Algorithm for Feature Selection in Alzheimer Detection Using Brain MRI Images,” International Journal of Computational Intelligence and Applications, p. 2250016, 2022.
T. Agrawal, P. Bist, N. Jain, and P. Agarwal, “A Hybrid Whale Genetic Algorithm for Feature Selection in Biomedical Dataset,” Int. J. Swarm Intell. Res., vol. 13, no. 1, pp. 1–18, 2022.
R. K. Agrawal, B. Kaur, and P. Agarwal, P. “Quantum inspired Particle Swarm Optimization with guided exploration for function optimization”, Applied Soft Computing, 102, 10712, 2021 (SCI indexed, Impact factor-8.236)
P. Agarwal, S. Mehta, and A. Abraham, “A meta-heuristic density-based subspace clustering algorithm for high-dimensional data,” Soft Computing, doi: 10.1007/s00500-021-05973-1. (SCI indexed, Impact factor-3.643)
P. Agarwal and S. Mehta, “ABC_DE_FP: a novel hybrid algorithm for complex continuous optimisation problems,” International Journal Bio-Inspired Computations, Vol.14, no. 1, 2019, pp. 46-61. (Impact Factor-3.395)
P. Agarwal and S. Mehta,"Empirical analysis of five nature-inspired algorithms on real parameter optimization problems." Artificial Intelligence Review pp. 1-57, 2017 (SCI Indexed Impact Factor-9.588)
P. Agarwal and S. Mehta, “Enhanced flower pollination algorithm on data clustering,” International Journal of Computers and Applications, Taylor Francis, vol. 38, no. 2-3 (August 2016), pp. 144–155, 2016 [Scopus Indexed] .
S. Mehta, P. Agarwal, P. Shrivastava, J. Barlawala, “Differential Bond Energy Algorithm for Optimal Vertical Fragmentation of Distributed Databases”, Journal of King Saud University Computer and Information Sciences, 2018 (SCI, Impact factor-13).
A. Dutta, P. Agarwal, A. Mittal, and S. Khandelwal, “Detecting grades of diabetic retinopathy by extraction of retinal lesions using digital fundus images,” Research on Biomedical Engineering, no. 0123456789, 2021, doi: 10.1007/s42600-021-00177-w.
P. Agarwal and S. Mehta, “Nature-Inspired Algorithms: State-of-Art, Problems, and Prospects,” International Journal of Computer Applications, vol. 100, no. 14, pp. 14–21, 2014.

Conferences

P. Agarwal and S. Mehta, “Comparative Analysis of Nature-Inspired Algorithms on Data Clustering,” IEEE International Conference on Research in Computational Intelligence and Communication Networks, pp. 119–124, 2015 [scopus indexed]
P. Agarwal, M. Sourabh, R. Sachdeva, S. Sharma, and S. Mehta, “Recommending Optimal Tour for Groups using Ant Colony Optimization”, International Conference on Contemporary Computing, IEEE, 2018 [scopus indexed].
H. Singh, P. Agarwal, "Empirical Analysis of Bitcoin Market Volatility Using Supervised Learning Approach" International Conference on Contemporary Computing, IEEE, 2018 [scopus indexed].
S. Mehta, P. Mishra, A. J. Bhatt and P. Agarwal, "AD3S: Advanced Driver Drowsiness Detection System using Machine Learning," 2019 Fifth International Conference on Image Information Processing (ICIIP), Shimla, India, 2019, pp. 108-113, doi: 10.1109/ICIIP47207.2019.8985844.
S. Mehta, P. Rana, S. Singh, A. Sharma and P. Agarwal, "Ensemble Learning Approach for Enhanced Stock Prediction," 2019 Twelfth International Conference on Contemporary Computing (IC3), Noida, India, 2019, pp. 1-5, doi: 10.1109/IC3.2019.8844891.
A. Nigam, S. Garg, A. Agrawal and P. Agrawal, "Crop Yield Prediction Using Machine Learning Algorithms," 2019 Fifth International Conference on Image Information Processing (ICIIP), Shimla, India, 2019, pp. 125-130, doi: 10.1109/ICIIP47207.2019.8985951.
P. Agarwal, N. Farooqi, A. Gupta, S. Mehta, and S. Khandelwal, “A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks,” in International Conference on Contemporary Computing, 2021, pp. 179–186.
M. Zaid and P. Agarwal, “Intelligent Intrusion Detection System Optimized using Nature-Inspired Algorithms,” vol. 128, no. International conference on Informatics, pp. 80–85, 2022, doi: 10.1109/ici53355.2022.9786909.
P. Kumar, S. Adhikari, P. Agarwal, and A. Sahoo, “Stock Prices Prediction Based on Social Influence & Historic Data”, International Conference on Contemporary Computing, pp- 276-283, 2022.
A.J. Bhatt, and P. Agarwal, “Statistical Detection of Malicious iOS Apps through Ensemble and Active Learning”, in Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023, pp. 716-721.

Book Chapters

P. Agarwal and S. Mehta, “Subspace Clustering of High Dimensional Data using Differential Evolution.” Nature-Inspired Algorithms for Big Data Frameworks, IGI Global, pp. 47-74, 2019 [Scopus indexed].
P. Agarwal and S. Mehta, “Analyzing Subspace Clustering Approaches for High Dimensional Data”, Artificial Intelligence for sustainable industry 4.0, Elsevier, 2021 (in press).
A. Dutta, P. Agarwal, A. Mittal, Shishir. Khandelwal, S. Mehta, “Detection of Diabetic Retinopathy using Ensemble Learning techniques” Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications, Scrivener Publishing, 2021 (in press).

Conferences/ Workshops

Organized

Organized One Week Online Faculty Development Program (FDP) on Green IoT for Sustainable Development, 13-17 June, 2022, JIIT Sec-62, NOIDA, India
Organized a workshop on “Streamlining Project Management using JIRA”, 2^nd Dec, 2023, JIIT Sec-62, NOIDA, India

Talk Delivered

Delivered a talk on “Performance Assessment in Nature-Inspired Algorithms” at JIIT sector 62, Noida on 15^th July 2017
A valuable resource person in a Two-day workshop on natural language processing organized by Dept. of Computer Science, Deen Dayal Upadhyaya College, the University of Delhi on 13^th and 14^th Feb 2019.
Delivered a talk on “Meta-heuristic Modelling and Optimization” on one week FDP on Data Intelligence and Applications organized by JIIT Noida on 13th January, 2023.

Others

Session manager in International Conference on Contemporary Computing IC3-2021, IC3-2022, IC3-2023, JIIT, NOIDA, India.
TPC Member in International Conference on Contemporary Computing in 2021, 2022, 2023.
TPC member in International Conference on Informatics (ICI) in 2022, 2023.
TPC member in IEEE International Conference on Signal Processing and Communication, 2021, 2022, 2023.
Reviewer of Journals -Soft Computing, Applied Soft Computing, Artificial Intelligence review, Biomedical engineering.

Academic Responsibility

Coordinator of Departmental ERD Report preparation
Departmental member of NAAC SSR
Member of NBA report preparation (criteria 5).

Professional Membership & Others

Life Time Membership of International Association of Engineers (IAENG) - # 350185.
DPMAC member of 3 PhD candidates
Supervisor: 2 Ph.D. ongoing, Many B.Tech and M.Tech projects.