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AVINASH PANDEY

Learner, Researcher, and Teacher

Dr. Avinash Chandra Pandey is currently serving as an Assistant Professor in the Department of computer science & engineering of PDPM Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur (IIITDM), India. He did his PhD in the field of data analytics under the supervision of Dr Dharmveer Singh Rajpoot. His research areas include machine learning, text mining, and nature-inspired computing. He has over 8 years of research and teaching experience at UG and PG levels. He has published more than 35 research papers in International peer-reviewed journals of repute, National and International conferences in India and abroad, and 02 patents. He has also guided many Ph.D. (Ongoing 01), M.Tech (Awarded 02, Ongoing 01), and B.Tech (Project: Awarded 30) students. He is a reviewer for various government-funded projects and leading International journals of repute. He has been a resource person and delivered invited lectures at several National and International Conferences, STTP’s, and QIP programs. 

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EDUCATION

PH.D. in Data Science

Jaypee Institute of Information University

Title: Efficient Methods For Clustering of Sentimental Data using Nature-inspired Algorithms

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Master of Technology

Netaji Subhas Institute of Technology, Noida

Branch: Computer Engineering

Thesis: Spatio-temporal Classification and Trend Analysis of Satellite Images

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Bachelor of Technology

Uttar Pradesh Technical University

Branch: Computer Science & Engineering

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Interest Areas 

  • Data Structures

  • Data Mining

  • Machine Learning

  • Nature Inspired Computing

 

Programming Languages & Tools​

  • Python

  • C

  • Java

  • js

Others: MATLAB, Tensorflow, Keras, MySQL​

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PH.D. THESIS

Title- Efficient Methods for Clustering of Sentimental Data using Nature-inspired Algorithms [Abstract]

Thesis Work:

1. Proposed four new variants of cuckoo search and an efficient grey wolf optimizer for efficient clustering of sentimental data.

The proposed variants are-​

  • Hybrid size based cuckoo search (HSCS) [Paper]

  • Spiral cuckoo search (SCS) [Paper]

  • Binomial cuckoo search (BCS) [Paper]

  • Hybrid cuckoo search [Paper]

  • Grey wolf optimizer with simulated annealing [Paper]

​2. Proposed efficient feature selection methods to eliminate the irrelevant and redundant features from sentimental data.

Related Paper-

  • Feature Selection method based on hybrid data transformation and binary binomial cuckoo search [Paper] 

  • Feature Selection Method based on Grey Wolf Optimization and Simulated Annealing [Paper]

3. Proposed an efficient feature representation method to remove the correlation and dependencies among features simultaneously for enhancing the sentiment analysis process.​

  • Feature Selection method based on hybrid data transformation and binary binomial cuckoo search [Paper]

  • Twitter sentiment analysis using hybrid cuckoo search method [Paper]

Other research problems-

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M. TECH. THESIS

Title- Semi-supervised spatiotemporal classification and trend analysis of satellite images

Abstract:

Classification of satellite images can be used for land information extraction, i.e., land cover maps, forest maps, industrial maps, residential maps, flooded maps, etc. The classification can be performed using any of the two methods, namely the supervised classification method, and unsupervised method. However, supervised classification methods require extensive training with existing training datasets. For satellite images, it is difficult to generate a training dataset for all the land cover types. Therefore, this thesis proposes a novel semi-supervised classification method to classify satellite images. The efficiency of the proposed method is tested on satellite images of the Delhi and Himalayan regions. Experimental results validate that the proposed method outperforms the existing methods.

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WORK EXPERIENCE

ACADEMICS

1. Assistant Professor at Indian Institute of Information Technology, Design, and manufacturing, Jabalpur, India (Aug. 2021- Till Now)

Courses taught-

  • Data Structures

2. Assistant Professor at Jaypee Institute of Information Technology, Noida, India (Sep. 2013 - July 2021)

Courses taught-

  • Data Structures

  • Machine Learning

  • C programming

  • Object-Oriented Programming

  • Open Source Software Engineering

 

INDUSTRY

ASE at Tata Consultancy Services Ltd. (July-2012 to May-2013)

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PUBLICATIONS

PUBLICATIONS

Total Citation until May. 2023:  922   H-Index: 15    I-10Index:  20

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International Journal

  1. Ashish Kumar Tripathi, K. Akul Krishnan, and Avinash Chandra Pandey. "A Novel Blockchain and Internet of Things-Based Food Traceability System for Smart Cities" Wireless Personal Communications, Vol. 129, pp. 2157-218, 2023. [SCI Indexed Impact Factor-2.017]

  2. Roop Singh, Mukesh Saraswat, Alaknanda Ashok, Himanshu Mittal, Ashish Tripathi, Avinash Chandra Pandey, and Raju Pal. "From classical to soft computing based watermarking techniques: A comprehensive review." Future Generation Computer Systems, Vol. 141, pp. 738-754, 2022. [SCI Indexed Impact Factor-7.307]

  3. Raju  Pal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Mohammad Ayoub Khan, Varun G. Menon, and Himanshu Mittal. "A N2CNN-Based Anomaly Detection Method for Cardiovascular Data in Cyber-Physical System." IEEE Transactions on Network Science and Engineering (2022).  [SCI Indexed Impact Factor-5.033]

  4. Himanshu Mittal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Mohammad Dahman Alshehri, Mukesh Saraswat, and Raju Pal. "A new intrusion detection method for cyber–physical system in emerging industrial IoT." Computer Communications 190 (2022): 24-35. [SCI Indexed Impact Factor-5.047]

  5. Mittal, Himanshu, Ashish Kumar Tripathi, Avinash Chandra Pandey, P. Venu, Varun G. Menon and Raju Pal, A novel fuzzy clustering-based method for human activity recognition in cloud-based industrial IoT environment. Wireless Netw (2022).  [SCI Indexed Impact Factor-2.218]

  6. Avinash Chandra Pandey, Ankur Kulhari, Himanshu Mittal, Ashish Kumar Tripathi, and Raju Pal. "Improved exponential cuckoo search method for sentiment analysis." Multimedia Tools and Applications (2022): 1-51. [SCI Indexed Impact Factor-2.57]

  7. Himanshu Mittal, Avinash Chandra Pandey, Raju Pal, and Ashish Kumar Tripathi, "A new clustering method for the diagnosis of CoVID19 using medical images", Applied Intelligence, Vol.-51, pp. 2988-3011, 2021. [SCI Indexed Impact Factor-5.086] (Paper)

  8. Avinash Chandra Pandey and Vinay Anand Tikkiwal, "Stance Detection using Improved Whale Optimization Algorithm", Complex & Intelligent Systems, Vol.- 7, pp. 1649-1672, 2021. [SCI Indexed Impact Factor-4.927] (Paper)

  9. Himanshu Mittal, Avinash Chandra Pandey, Mukesh Saraswat, Sumit Kumar, Raju Pal, Garv Modwel, "A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets", Multimedia Tools and Applications, Springer, pp. 1-26, 2021. [SCI Indexed Impact Factor-2.757]

  10. Avinash Chandra Pandey, Dharmveer Singh Rajpoot, and Mukesh Saraswat, “Feature selection method based on hybrid data transformation and binary binomial cuckoo search”, Journal of Ambient Intelligence and Humanized Computing, Springer, Vol.-11, pp.719–738, 2020. [SCI Indexed Impact Factor-7.104] (Paper)
  11. Himanshu Mittal, Ashish Tripathi, Avinash Chandra Pandey, and Raju Pal. "Gravitational search algorithm: a comprehensive analysis of recent variants." Multimedia Tools and Applications, Springer, pp. 1-28, 2020. [SCI Indexed Impact Factor-2.757] (Paper)

  12. Avinash Chandra Pandey and Dharmveer Singh Rajpoot, “Spam Review Detection Using Spiral Cuckoo Search Clustering Method" Evolutionary Intelligence, Springer, Vol.-12, pp.147–164, 2019. [Scopus Indexed] (Paper)

  13. Avinash Chandra Pandey, Raju Pal, and Ankur Kulhari, “Unsupervised data classification using improved biogeography based optimization", International Journal of System Assurance Engineering and Management, Springer, Vol.-9, pp.821-829, 2018.  [Scopus Indexed] (Paper)

  14. Avinash Chandra Pandey and Dharmveer Singh Rajpoot, “Enhancing Sentiment Analysis using Hybrid Deep Learning Models”, Journal of Recent Advances in Computer Science and Communications, Vol-13, 2020. (Doi-https://doi.org/10.2174/2213275912666190328200012) [Scopus Indexed]

  15. Avinash Chandra Pandey and Dharmveer Singh Rajpoot, “Feature Selection Method Based on Grey Wolf Optimization and Simulated Annealing”, Journal of Recent Patents on Computer Science, Vol-12, 2019. (Doi-https://doi.org/10.2174/2213275912666190408111828)[Scopus Indexed] 

  16. Abdul Mohammed Salem, Vishal Shukla, and Avinash Chandra Pandey, “Enhancing Sentiment Analysis using Enhanced Whale Optimization Algorithm” International Journal of Intelligent Information and Database Systems, Vol-13, pp. 208-228, 2020. [Scopus Indexed] (Paper)

  17. Avinash Chandra Pandey, Dharmveer Singh Rajpoot, and Mukesh Saraswat, "Twitter sentiment analysis using hybrid cuckoo search method", Information Processing & Management, Elsevier, Vol.-53, pp.764-779, 2017. [SCI Indexed Impact Factor-7.466] (Paper)

  18. Ankur Kulhari, Avinash Chandra Pandey, and Deep Shikha Shukla, “Implementing and Testing Priority Scheduler and Token Bucket Policer in differentiated Service”, International Journal of Computer Applications, Vol. 101, pp. 5-7, 2014. [ISSN 0123-4560] (Paper)

International Conferences

  1. Shukla, D.S., Pandey, A.C. and Kulhari, A., “Outlier detection: A survey on techniques of WSNs involving event and error based outliers” in proc. of International Conference on Power, Energy and Controls with their impact on Humanity, IEEE India, pp. 113-116, 2014. [Scopus Indexed] (Paper)

  2. Pandey, A.C., Rajpoot, D.S. and Saraswat, M., “Data clustering using hybrid improved cuckoo search method”, in Proc. of Ninth International Conference on Contemporary Computing, IEEE, India, pp. 1-6, 2016. [Scopus Indexed] (Paper)

  3. Kulhari, A., Pandey, A., Pal, R. and Mittal, H., “Unsupervised data classification using modified cuckoo search method”, in proc. of Ninth International Conference on Contemporary Computing, IEEE, India, pp. 1-6, 2016. [Scopus Indexed] (Paper)

  4. Pal, R., Pandey A., H.M. and Saraswat, M., “BEECP: Biogeography optimization-based energy-efficient clustering protocol for HWSNs”, in proc. of Ninth IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2016. [Scopus Indexed] (Paper)

  5. Kulhari, A. and Pandey, A.C., "Traffic Shaping at Differentiated Services Enabled Edge Router Using Adaptive Packet Allocation to Router Input Queue", in proc. of Second International Conference on Computational Intelligence & Communication Technology, IEEE, India, pp. 242 - 247, 2016. [Scopus Indexed] (Paper)

  6. Pandey, A.C., Rajpoot, D.S. and Saraswat, M., ``Hybrid step size based cuckoo search", in Proc. of Tenth International Conference on Contemporary Computing, India, pp. 1-6, 2017. [Scopus Indexed] (Paper)

  7. Pandey, A.C., Rajpoot, D.S. and Saraswat, M., ``Data Clustering based on Data Transformation and Hybrid Step Size-based Cuckoo Search'', in Proc. of Eleventh International Conference on Contemporary Computing, IEEE, India, pp. 1-6, 2018. [Scopus Indexed] (Paper)

  8. Pandey, A.C., Misra, S., and Saxena, M., “Gold and Diamond Price Prediction Using Enhanced Ensemble Learning”, in proc. ofTwelfth International Conference on Contemporary Computing (IC3), IEEE, India, pp. 1-4, 2019. [Scopus Indexed] (Paper)

  9. Pandey, A.C., Garg, M., and Rajput, S., “Enhancing Text Mining using Deep Learning Models”, in proc. ofTwelfth International Conference on Contemporary Computing (IC3), IEEE, India, pp. 1-5, 2019. [Scopus Indexed] (Paper)

  10. Kohli S., Kaushik, M., Chugh, K. and Pandey, A.C., “Levy-inspired Enhanced Grey Wolf Optimizer”, in proc. of Fifth IEEE International Conference on Image Information Processing, India, 2019, pp.1-5, 2020. [Scopus Indexed] (Paper)

  11. Pandey, A. C., Tripathi, A., Pal, R., Mittal, H. and Saraswat, M., “Spiral Salp Swarm Optimization Algorithm”, IEEE International Conference on Information Systems and Computer Networks, Mathura, India, 2019. (Presented)

  12. Monish, H. and Pandey, A.C., “A Comparative assessment of Data Mining Algorithms to predict fraudulent firms”, IEEE International Conference on Cloud Computing, Data Science & Engineering, India, 2020. (Presented)

Book Chapter

  1. Gupta V., Mehta A., Goel A., Dixit U., Pandey A.C., “Spam Detection Using Ensemble Learning”,  In Yadav N., Yadav A., Bansal J., Deep K., Kim J. (eds) Harmony Search, and Nature Inspired Optimization Algorithms, Advances in Intelligent Systems and Computing, Springer, vol 741, pp., 661-668, 2019. (Paper)

  2. Ghai R., Kumar S., Pandey A.C., “Spam Detection Using Rating and Review Processing Method”, In Panigrahi B., Trivedi M., Mishra K., Tiwari S., Singh P. (eds) Smart Innovations in Communication and Computational Sciences, Advances in Intelligent Systems and Computing, Springer, vol 670, pp. 189-198, 2019. (Paper)

  3. Pandey A.C., Kulhari A., “Semi-supervised Spatiotemporal Classification and Trend Analysis of Satellite Images”,  In: Bhatia S., Mishra K., Tiwari S., Singh V. (eds) Advances in Computer and Computational Sciences, Advances in Intelligent Systems and Computing, Springer, vol 554, pp. 353-363, 2018. (Paper)

  4. Pandey A.C., Seth S.R., Varshney M., Sarcasm Detection of Amazon Alexa Sample Set. In: Rawat B., Trivedi A., Manhas S., Karwal V. (eds) Advances in Signal Processing and Communication, Lecture Notes in Electrical Engineering, Springer,  vol 526, pp. 559-564, 2019. â€‹(Paper)

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PROFESSIONAL ACTIVITIES

​Invited Talks

  • Delivered lecture on “Grey Wolf Optimization and its Applications'', in the Third National Workshop on Computational Intelligence at the Department of CSE, Jaypee Institute of Information Technology, Sector-128, Noida, India, April 26-27, 2019.

  • Expert Lecture on  “Research Paper Writing using LaTeX", at the Department of Computer Science & Engineering, Modern Institute of Technology & Research Centre, Alwar, India, December 11-13, 2018.

  • Expert Lecture on “Handling references using LaTeX", at Department of Computer Science & Engineering, Srinathji Institute of Technology & Engineering, Nathdwara, India, September 09, 2018.

  • Expert Lecture on “Nature-Inspired Algorithms for Engineering Applications”, at Department of Electronics & Communication Engineering, Govt. Engineering College Ajmer, Rajasthan, India, July 23-27, 2018.

  • Expert Lecture on “Machine Learning Using Matlab", at Arya College of Engineering & Research Centre, Jaipur, India, June 5-9, 2018.

  • Expert Lecture on “Practical Exposure of MatLab and Python”, at Department of Information Technology, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India, June 11-15, 2018.

  • Expert Lecture on “Sentiment Analysis using Python", at Chartered Institute of Technology, Mount Abu, India, March 25-29, 2018.

Reviewers

  • Reviewer Committee of Artificial Intelligence Review Journal Springer

  • Reviewer/Member of Information Processing and Management Journal Elsevier

  • Reviewer of Transactions on Knowledge Discovery from DataIEEE

  • Reviewer of Journal of Systems and Information Technology Emerald publishing

  • Reviewer of International Journal of Electrical and Computer  Engineering, IJECE

  • Reviewer of Journal of Ambient Intelligence and Humanized Computing, Springer

  • Reviewer of Journal of Supercomputing, Springer

Administrative Experience

  • Member of Training and placement department at JIIT, Noida

  • Coordinator of Time-table committee at JIIT, Noida

Program Committees

  • Member of organizing committee in National workshop on “Computational Intelligence held from December 01-02, 2017 at Jaypee Institute of Information Technology, sector 128, Noida.

  • Coordinated Three days National Workshop on “Wireless Sensor Networks and its Applications” held from March 16-18,2017 at Jaypee Institute of Information Technology, sector 128, Noida.

  • Faculty Coordinator of National workshop on “Computational Intelligence held from May 26-28, 2016 at Jaypee Institute of Information Technology, sector 128, Noida.

  • Member of organizing committee in National workshop on “Mobile Technology held from March 17-18, 2016 at Jaypee Institute of Information Technology, sector 128, Noida.

  • Member of organizing committee in a Faculty development program on “Mobile Technology held from July 13-18, 2015 at Jaypee Institute of Information Technology, sector 128, Noida.

  • Member of organizing committee in a Faculty development program on “Wireless Sensor Networks held from July 21-26, 2014 at Jaypee Institute of Information Technology, sector 128, Noida.

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GET IN TOUCH

Dr. Avinash Pandey

Department of Computer Science and Engineering
Indian Institute of Information Technology, Design, and Manufacturing, Jabalpur, Madhya Pradesh, India.

avishsonu@gmail.com

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