Dr. Pushpendra Kumar

Assistant Professor,
Department of Computer Science & Technology,
Central University of Jharkhand, Ranchi

Cell : 7209164998
E-Mail : p.kumar@cuj.ac.in/ pushpendra7589@gmail.com

M.C.A., Ph.D. (N.I.T. Bhopal)

1. Qualified GATE in 2014 and 2015.
2. UGC NET-JRF qualified in June 2015.
3. Recipient of UGC NET-JRF Fellowship, 5th June-2016 to 7th February 2020.
4.  Fellowship for Training of Young Scientist in 34th M.P. Young Scientist Congress (February 28- March 1, 2019) of M.P. Council of Science and Technology.

1. M.Tech (Computer Science & Technology)
2. M.Sc (Math)

Dr. Pushpendra Kumar is an Assistant Professor in the Department of Computer Science & Technology at Central University of Jharkhand, Ranchi, India. He received the Bachelor and Master degree in Computer Applications from B.N.M.U Madhepura (Bihar) in 2011 and R.G.P.V Bhopal (MP) in 2014 respectively. Dr. Kumar has published research work in various reputed journals. His area of interest includes Data Mining, Machine Learning and Deep Learning.

1. Member, Departmental Admission Committee for CUCET 2020 Admission
2. Member, Departmental Academic Purchase Committee 2020
3. Lab In-charge, DCST, since jan-2021 to till date.

Year wise: Projects details, Research publications etc.

Research publications

1. V. Kumar, P. Kumar and R. S. Thakur, 2017.  A brief Investigation on Data Security Tools and Techniques for Big Data, International Journal of Engineering Science Invention, vol. 6(9): 20-27, http://www.ijesi.org/papers/Vol(6)9/Version-1/C0609012027.pdf
2. P. Kumar and R. S. Thakur, 2018.  Recommendation system techniques and related issues: a survey, International Journal of Information Technology, vol.10(4): 495–501, https://link.springer.com/article/10.1007/s41870-018-0138-8
3. P. Kumar, V. Kumar and R. S. Thakur, 2019. A New Approach for Rating Prediction System Using Collaborative Filtering, Iran Journal of Computer Science, vol. 2(2): 81–87, https://link.springer.com/article/10.1007/s42044-018-00028-5
4. P. Kumar and R. S. Thakur, 2019. Early Detection of the Liver Disorder from Imbalance Liver Function Test Datasets, International Journal of Innovative Technology and Exploring Engineering, Vol. 8 (4): 179-186, https://www.ijitee.org/wp-content/uploads/papers/v8i4/D2681028419.pdf
5. P. Kumar and R. S. Thakur, 2020. Liver disorder detection using variable- neighbor weighted fuzzy K nearest neighbor approach, Multimed Tools Appl, https://link.springer.com/article/10.1007/s11042-019-07978-3

Book Chapters (Published)
 

1. B. Gaurav,  P. Kumar, V. Kumar, and R. S. Thakur, 2020. Conceptual Insights in Blockchain Technology: Security and Applications. In: Transforming Businesses With Bitcoin Mining and Blockchain Applications; D. S. Rajput, R. S. Thakur and S. M. Basha (eds.), IGI Global, pp. 221-233.  ISBN13: 9781799801863
2. R. Sansiya, P. Kumar, R. S. Thakur, and A. Mohammadi, 2020.  Integrate Hybrid Cloud Computing Server With Automated Remote Monitoring for Blockchain as a Service. In: Blockchain Applications in IoT Security; H. Patel, and G. S. Thakur (eds.), IGI Global pp. 203-218. ISBN13: 9781799824145

1. V. Kumar, P. Kumar and R. S. Thakur, 2018. A Recommender System using GA Based Fuzzy C-Means Clustering.Paper presented and abstract published on page 6 of the Proceeding ofNational Conference on New Era of Technological Interconnection in Electrical, Electronics and Computer Engineering, Organized by RKDF Institute of Science & Technology and Sponsored by M.P. Council of Science & Technology, Bhopal, India during September 14-15,  2018.
2. T. Anwar and P. Kumar, 2018. A Framework for Online Book Recommendation using Collaborative Filtering and Prefix Spam Mining Approach. Paper presented and abstract published on page 6 of the Proceeding ofNational Conference on New Era of Technological Interconnection in Electrical, Electronics and Computer Engineering, Organized by RKDF Institute of Science & Technology and Sponsored by M.P. Council of Science & Technology, Bhopal, India during September 14-15, 2018.
3. P. Kumar and R. S. Thakur, 2018. A Framework for Weblog Data Analysis Using Hive in Hadoop Framework, In: Proceedings of International Conference on Recent Advancement on Computer and Communication. Lecture Notes in Networks and Systems, Springer, vol 34. pp 433-439.
4. P. Kumar, 2019.  Liver Disorder Prediction Using Weighted Fuzzy K-Nearest Neighbors Method.  Paper presented and abstract published on page 70 of the Proceeding of 34th M.P. Young Scientist Congress of M.P. Council of Science and Technology, Organized by RGPV, Bhopal, India, during February 28-March 1, 2019.
5. P. Kumar and R. S. Thakur, 2019. Fuzzy Sets and Machine Learning Approach for Prediction of Liver Disease, In: Proceeding of National Conference on Emerging Trends in Science, Engineering & Technology (NCETSET-2019) Organized by Sagar Institute of Science, Technology & Research, Bhopal, India, during April 12th – 13th , 2019.
6. P. Kumar and R. S. Thakur, 2019 Diagnosis of Liver Disorder Using Fuzzy Adaptive and Neighbor Weighted K-NN Method for LFT Imbalanced Data, 2019 International Conference on Smart Structures and Systems (ICSSS), Chennai, India, IEEE, 2019, pp. 1-5, doi: 10.1109/ICSSS.2019.8882861

1.  As Organizing Secretary in Two Days National Webinar on “Emerging Technologies for Higher Education Post Covid-19” held on 16th -17th May, 2020 Organized by Department of Computer Science and Technology, Central University of Jharkhand.
2. As Co-Coordinator in Five Day Workshop on Internet of Things (IOT) held on (14th -18th September 2020) Sponsored by AICTE Training and learning (ATAL) Academy Programmes