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Dr. Praphula Kumar Jain

Dr. Praphula Kumar Jain

  • Assistant Professor
    Institute of Engineering & Technology
  • Department

    Department of Computer Engineering & Applications
  • Contact Details:

    Email : praphula.jain@gla.ac.in

    Contact Number :9752450951

  • Experience

    Academics 4.6 years, Research 6 Years

  • Qualifications

    • Ph.D.
    • M.Tech (CSE) Indian Institute of Technology (ISM), Dhanbab, JH, INDIA
  • Ph. D.

    Thesis Supervised

  • Awarded/ Completed-

    Working-

  • Postgraduate

    Thesis Supervised

  • Awarded/ Completed01

    Working01

Research Publication: 

Research Publications SCI/SCIE Indexed Journals

  • Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Yu-Chen Hu. ”Optimized levy flight model for heart disease prediction using CNN framework in big data applications”, Expert System with Applications, Elsevier, SCIE, Impact factor 8.66, 2023.
  • Praphula Kumar Jain, Waris Quamer, Rajendra Pamula. ” Consumer sentiment analysis with aspect fusion and GAN‐BERT aided adversarial learning”, Expert Systems, Wiley, SCIE, Impact factor 2.81, 2023.
  • Shiddharth Shukla, Praphula Kumar Jain, Ch Ramesh Babu, and Rajendra Pamula. ” Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique”, IEEE Access, IEEE, SCIE, Impact factor 3.47, 2023.
  • Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdelkareim Gabralla.” Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals”, Sensors, MDPI, SCIE, Impact factor 4.05, 2023.
  • Praphula Kumar Jain, Gautam Srivastava, Jerry Chun-Wei Lin, Rajendra Pamula” Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews”, IEEE Transactions on Computational Social Systems, IEEE, SCIE, Impact factor 4.74, 2022.
  • Praphula Kumar Jain and Anand Prakash. ”Predicting consumer recommendation decisions from online reviews: A rough set approach”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.06, 2022.
  • Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik. ” Heterogeneous Load Balancing using Predictive Load Summarization”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.06, 2022.
  • Pawan Meena, Monti Babulal Pal, Praphula Kumar Jain, Rajendra Pamula. ” 6G communication networks: introduction, vision, challenges, and future directions Heterogeneous Load Balancing using Predictive Load Summarization”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.06, 2022.
  • Praphula Kumar Jain, Ephrem Admasu Yekun, and Rajendra Pamula,”Predicting Consumer Recommendations Decisions from social media contents using Multi-Label Ensemble Model”, Journal of Supercomputing, Springer, SCIE, Impact factor 2.46, 2022.
  • Praphula Kumar Jain, Arjav Patel, Rajendra Pamula, and Saru Kumari. ”Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.31, 2022.
  • Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, Ajith Abraham. ” Multi-type skin diseases classification using OP-DNN based feature extraction approachPredicting airline customers’ recommendations using qualitative and quantitative contents of online reviews”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.31, 2022.
  • Praphula Kumar Jain, Mani Shankar Bajpai, and Rajendra Pamula. ”A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality”, International Arab Journal of Information Technology, CCIS, SCIE, Impact factor 0.67, 2022.
  • Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, and Gautam Srivastava. ”Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models”, Computers and Electrical Engineering, Elsevier, SCIE, Impact factor 2.66, 2021.
  • Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, and Vijayalakshmi Saravana. ”SpSAN: Sparse SelfAttentive Network based Aspect-aware model for Sentiment Analysis”, Journal of Ambient intelligent and humannized computing, Springer, SCIE, Impact factor 4.59.
  • Amit Singh, Rajendra Pamula, Praphula Kumar Jain, and Gautam Srivastava.”The Best-Choice Vehicular Relay Selection Scheme for V2V and V2I Transmission”, Soft Computing, Springer, SCIE, Impact factor 3.05, 2021.
  •  Praphula Kumar Jain, Rajendra Pamula, and Gautam Srivastava. ”A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews”, Computer Science Review, Elsevier, SCIE, Impact factor 7.79, 2021.
  • Praphula Kumar Jain, Vijayalakshmi Saravana, and Rajendra Pamula. ”A Hybrid CNN-LSTM: A Deep learning approach in explaining consumer sentiment by qualitative user generated contents”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.42, 2021.
  • Praphula Kumar Jain, Waris Quamer, Arpit Rai, Vijayalakshmi Saravana, Rajendra Pamula, and Chiranjeev Kumar. ”SACNN : Self-Attentive Convolutional Neural Network Model for Natural Language Inference”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.42, 2021.
  • Praphula Kumar Jain, Rajendra Pamula, and Sarfraj Ansari. ”A Supervised machine learning approach for the Credibility Assessment of User-Generated Content”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.06, 2021.
  • Shiddharth Shukla, Praphula Kumar Jain, Ch Ramesh Babu, and Rajendra Pamula. ”A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.06, 2020.

Research Publications ESCI/Scopus Indexed Journals

  • Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Sports result prediction using data mining techniques in comparison with base line model”, OPSEARCH, Springer, ESCI & Scopus, Impact factor -.–, 2020.
  • Praphula Kumar Jain, Madhur Jain, and Rajendra Pamula. ”Explaining and predicting employees’ attrition: a machine learning approach”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2020.

Research Publications International Conferences

  • Kumari Pooja, Praphula Kumar Jain, and Rajendra Pamula. ”An efficient use of ensemble methods to predict students academic performance”, 4th International Conference on Recent Advances in Information Technology (RAIT), IEEE, 2018.
  • Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.
  • Gaurav Mishra, Shubham Agarwal, Praphula Kumar Jain, and Rajendra Pamula. ”Outlier detection using subset formation of clustering based method”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.
  • Praphula Kumar Jain, Dilip Sharma, Lakshmibai Maddala, and Rajendra Pamula. ”Airline recommendation prediction using customer generated feedback data”, 4th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.
  • Lakshmibai Maddala, Praphula Kumar Jain, and Rajendra Pamula. ”Tourist Recommender System using Hybrid Filtering”, 4th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.
  • Praphula Kumar Jain, and Rajendra Pamula. ”Two step anomaly detection approach using clustering algorithm”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.

Research Publications Book Chapters

  • Praphula Kumar Jain, and Rajendra Pamula. ”Content-Based Airline Recommendation Prediction Using Machine Learning Techniques”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.
  • Praphula Kumar Jain, and Rajendra Pamula. ”Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.
  • Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Electricity consumption forecasting using time series analysis”, International Conference on Advances in Computing and Data Science, Scopus, 2018.
  • A PDP: Data Modelling for Artificial Intelligence Applications: organized by Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, JH, India. (25 Mar 2019-06 Apr 2019)
  • Paper Presented: International Conference on Advances in Computing and Data Science (ICACDS-2018): organized by Uttaranchal University, Dehradun, Uttarakhand, India. (20 Apr 2018-21 Apr 2018)
  • Attended: 4 th IEEE International Conference on Recent Advances in Information Technology (RAIT-2014): organized by Department of Computer Science & Engineering, Indian Institute of Technology(ISM), Dhanbad, JH, India. (15 Mar 2018-17 Mar 2018)
  • Paper Presented: International Conference on Advance Computing Networking and Informatcs (ICANI-2018): organized by Medi-caps University, Indore, Madhya Pradesh, India. (22 Feb 2018-24 Feb 2018)
  • Attended a GIAN Course: Data Mining Algorithms for Graph, Text and Streaming Data: organized by Department of Computer Science & Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, MP, India. (19 Dec 2017-27 Dec 2017)
  • Attended a course: Coding Theory and Cryptography: Fundamentals and Applications: organized by Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, JH, India. (13 Dec 2017-17 Dec 2017)
  • Attended a workshop: Data Science and Machine Learning: organized by Center for Soft Computing Research, Indian Statistical Institute (ISI), Kolkata, WB, India. (28 Mar 2017-31 Mar 2017)
  • Attended a Short Term course: Data Mining and Its Application: organized by Department of Computer Science & Engineering, Indian Institute of Technology(ISM), Dhanbad, Jharkhand, India. (27 Feb 2017-3 Mar 2017)
  • Attended a workshop: Communication and Multimedia Security: organized by Department of Computer Science & Engineering, Indian Institute of Technology(ISM), Dhanbad, Jharkhand, India. (09 Feb 2017-10 Feb 2017)
  • Attended: 2 nd IEEE International Conference on Recent Advances in Information Technology (RAIT-2014): organized by Department of Computer Science & Engineering, Indian Institute of Technology(ISM), Dhanbad, Jharkhand, India. (13 Mar 2014-15 Mar 2014)
  • Attended: National Seminar on Nano Sensor and its Application: organized by Department of Computer Science & Engineering, Globus Engineering College, Bhopal, Madhya Pradesh, India. . (16 Mar 2012-16 Mar 2012)

Reviewer Journals/Conferences

  • Transactions on Emerging Telecommunications Technologies (Wiley, SCIE, IF-1.5)
  • Journal Of Super Computing (Springer, SCIE, IF-2.4)
  • Journal of AI & Society (Springer, Scopus & ESCI, IF-...)
  • Journal of AI & Ethics (Springer, Scopus, IF-...)
  • International Journal of Systems Assurance Engineering and Management (Springer, Scopus & ESCI, IF-...)
  • IEEE conference on GLOBECOM 2020
  • Conference on Fuzzy Systems and Data Mining (FSDM2020)
  • Conference on Fuzzy Systems and Data Mining (FSDM2021)
  • Editorial Board member: International Journal of Research in Technology and Management (May 2021 - present)
  • IEEE Symposium on Colossal Data Analysis and Networking organized by Medicaps University, Indore, Madhya Pradesh, India. (18-19 Mar 2016)
  • Scientific Committee member: International Symposium on Economic Thought (ISET), organized by The Research Platform on EConomic Thought (RePEcT). (22-24 May 2021)
  • Member: IEEE, ACM, Computer Society of India, IIT(ISM), CSE, Society
  • Acted as session chair Information systems & Computer Networks (ISCON), 3rd-4th March, 2023,

Work Achievement:

  • Acted as session chair Information systems & Computer Networks (ISCON), 3rd-4th March, 2023,
  • GATE Qualified 10 Times.

Specialization: Machine Learning, Deep Learning

Web Profile: https://sites.google.com/view/drpraphulajain/