Dr. Parul Agarwal

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.

Biography

In my 9 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.

Interest Area(s)

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

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 Professorin 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.

Publications

Journals

• 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, vol. 1, no. 1. Association for Computing Machinery, 2022.

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

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.