Dr. M. Rudra Kumar
Professor

Dr. M. Rudra Kumar, is currently professor of Computer Science & Engineering of G. Pullaiah College of Engineering and Technology (Autonomous), Kurnool, Andhra Pradesh, India. He has about 18+ years of experience in teaching. He holds M. Tech degree from JNTUA, Anantapur, Andhra Pradesh, India. He received Ph.D., from Jawaharlal Nehru Technological University,Anantapur, Andhra Pradesh, India in the field of computer Science & Engineering. He is a life member of CSI and he has published and presented many research papers in national and international journals, conferences. He authored three books and four book chapters. He also has six patents. His main research interest includes Software Engineering, Machine Learning, Internet of Things and Cloud Computing.

S.No Name of Degree Branch/
Specialization
Name of College Name of University Year of Passing
1 B.Tech Computer Science and Engineering KSRMCE S.V. University 1999
2 M.Tech Computer Science JNTUCE JNTUA 2003
3 Ph.D Computer Science and Engineering JNTUA JNTUA 2016
  1. Computer Networks
  2. Software Engineering
  3. Design and Analysis of Algorithms
  4. Software Quality Assurance and Testing
  5. Object oriented analysis and design using UML
  6. Architecture for software systems
  7. Software Project Management
  8. Software Testing Methodologies
  9. Software Architecture and Design Patterns
International/National Journals:

  1. M Rudra Kumar et all., “Data mining and Deep Learning Based Hybrid Health Care Application,” Applied Nanoscience (Springer, SCI Indexed, Accepted for Publication)
  2. M Rudra Kumar, M MVenkataChalapathi, “Pivot Based Seed Germination Assessment (PBSGA) Pattern for Germination Quality Analysis”, Drugs and Cell Therapies in Hematology 10.3 (2021):468-480. (ESC,Web of Science Journal)
  3. Dr. M Rudra Kumar, M MVenkataChalapathi, “Speech Emotion Recognition using Supervised Bayes Learning on Digital Features of Multi-Label Data Corpus”, Design Engineering (2021): 1065-1078.(SCOPUS Journal).
  4. M Rudra Kumar, M MVenkataChalapathi, “Ensemble Learning-Based Seed Germination Quality Prediction for Precision Forming”, Drugs and Cell Therapies in Hematology 10.3 (2021):452-467. (ESC,Web of Science Journal)
  5. M Rudra Kumar et all., “Drift Detection Over Ubiquitous Data Based on Unsupervised Approach,” Soft Computing. Springer. (Received acceptance,SCIE Indexed Journal)
  6. M. Rudra Kumar et all., “An Information Sharing Protocol to Reduce Cloud Storage Security and Protection Risks in Big Data,” Design Engineering (2021): 12740-12750.(SCOPUS Journal).
  7. M Rudra Kumar et all., “Monitoring Fake Product Reviews Using Opinion Mining.” Design Engineering (2021): 12732-12739. (SCOPUS).
  8. Lakshmi, T. Naga, S. Jyothi, and M. Rudra Kumar. “Image Encryption Algorithms Using Machine Learning and Deep Learning Techniques—A Survey.” Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough. Springer, Cham, 2021. 507-515.(SCOPUS).
  9. MadapuriRudra Kumar, Vinit Kumar Gunjan, MohdDilshad Ansari, “ Learning-Based HR Appraisal System (ML-APS),”International Journal of Applied Management Science (Inderscience Publishers, Forth Coming Issue). (SCOPUS).
  10. Kumar, MadapuriRudra, et all., “Personal finance transaction index scoring using machine learning model.” Materials Today: Proceedings (2021). (SCOPUS).
  11. Gunjan, Vinit Kumar, and MadapuriRudra Kumar. “Predictive Analytics for OSA Detection Using Non-Conventional Metrics.” International Journal of Knowledge-Based Organizations (IJKBO) 10.4 (2020): 13-23. (IET Inspec, ACM Digital Library Indexed)
  12. Kumar, MadapuriRudra, and Vinit Kumar Gunjan, “Review of machine learning models for credit scoring analysis.” IngenieríaSolidaria 16.1 (2020). (Web of Science)
  13. Subramanyam m Vadlamaani, P K Bharti and M. Rudra Kumar, “Model for Managing Fault-Tolerance Conditions in Cloud Computing Environment,” MuktShabd Journal, Vol. 9, Issue.2, February 2020.
  14. Kumar, M. Rudra, R. HimajaSree, “Home Computerization Monitoring System with Google Supporter,” International Journal of Emerging Trends in Engineering Research (IJETER), Vol. 8, No. 6, June 2020. (SCOPUS)
  15. Reddy, K. Uday Kumar, S. Shabbiha, and M. Rudra Kumar. “Design of high security smart health care monitoring system using IoT.” International Journal of Emerging Trends in Engineering Research (IJETER), Vol. 8, No. 6, June 2020. (SCOPUS)
  16. Kumar, MadapuriRudra. “Resource Allocation Fitment Analysis in Project Management System.”MuktShabd Journal, 9.2 (2020).
  17. Mahesh, PC Senthil, K. Sasikala, and M. Rudra Kumar. “Face Recognition Based Automated Student Attendance System using Deep Learning.” International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), Vol. 9, No. 3, June 2020. (SCOPUS).
  18. Krishna, J., M. Meghana, and M. Rudra Kumar. “Efficient Information Dissemination in Vehicular Networks with Topological Approach.” International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), Vol. 9, No. 3, June 2020. (SCOPUS)
  19. Haritha, S., M. Rudra Kumar, and B. Dileep Kumar. “Encoding cross-domain sentiment by Stochastic Word Embedding.” MuktShabd Journal. 9.4 (2020).
  20. M Rudra Kumar. “Quality Aware Transmissions over IP based Networks: A review.” Journal of Applied Science and Computations. 6.5 (2019).
  21. MRK K Uday Kumar Reddy, G Chennakessava Reddy, “Estimating Available Bandwidth Using End- to- End Delay Increase Rate,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8.11 (2019). (SCOPUS).
  22. GIKDB M Rudra Kumar, T N Ranganatham, “Optimal Integrity Policy for Secure Storage of Encrypted Data Using Cloud Computing,” International Journal of Innovative Technology and Exploring Engineering (IJITEE). 8. 11 (2019). (SCOPUS).
  23. M. Rudra Kumar, “Machine Learning-based Credit Scoring System and Framework of “Peer Trust Score” Model”, Journal of Interdisciplinary Cycle Research, PP. 78-86, 11.1(2019).
  24. M Rudra Kumar et all., “Energy Efficient Scheduling of Cloud Data Center Servers,” International Journal of Innovative Technology and Exploring Engineering, 8.11 (2019) (SCOPUS).
  25. M Rudra Kumar et all., “Detecting Stress Based on Social Networking Interactions,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol 8, Issue 11, 2019. (SCOPUS).
  26. M Rudra Kumar et all., “Reciprocal Repository for decisive Data Access in Tolerant Networks,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 9, Issue 1, 2019. (SCOPUS).
  27. M. Rudra Kumar, “Traditional and Object-Oriented Approaches in Software Engineering Development,” Journal of Interdisciplinary Cycle Research, Volume 11, Issue 11, PP. 247-263, November-2019.
  28. Subramanyam m Vadlamaani, P K Bharti and M. Rudra Kumar, “CFT-GANN: Adaptive Cloud Fault-Tolerance Modeling by Generalized Artificial Neural Network,” MuktShabd Journal, Vol. 8, Issue.1, pp.54-69, January 2019.
  29. M Rudra Kumar et all., “A Laplacian Probabilistic graph modeling for clustering multi-Valued Data Sets),” Journal of Advanced Research in Dynamical and Control Systems (JARDCS), Vol. 10, Special Issue 04, 2018. (SCOPUS).
  30. M Rudra Kumar et all., “Resourceful Multipath Wireless Sensor Network Routing under Energy Conservation and Security as Context Factors,” The International Journal of Analytical and Experimental Modal Analysis, Vol 10, Issue 7, 2018.
  31. M Rudra Kumar et all., “Augmented Hypothetical Cluster Processing for BIG DATA,” International Journal for Recent Developments in Science & Technology, Vol 2, Issue 01, Jan/2018.
  32. Madapuri, Rudra Kumar, and PC Senthil Mahesh. “HBS-CRA: scaling impact of change request towards fault proneness: defining a heuristic and biases scale (HBS) of change request artifacts (CRA).” Cluster Computing 22.5 (2019): 11591-11599. (SCIE Indexed)
  33. M Rudra Kumar et all., “A Significant Big Data Interpretation Using Map Reduce Algorithm, International Journal of Scientific Research in Computer Science,” Engineering and Information Technology, Vol. 2, Issue 4, 2017.
  34. M Rudra Kumar et all., “Frequent Data Partitioning using Parallel Mining Item Sets and MapReduce,” International Journal of Scientific Research in Computer Science,” Engineering and Information Technology, Vol. 2, Issue 4, 2017.
  35. M Rudra Kumar et all., “Efficient High Utility Top-K Frequent Pattern Mining from High Dimensional Datasets,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Vol. 2, Issue 4, 2017.
  36. M Rudra Kumar et all., “MultPath Routing Algorithm for Multi-Constrained QoS Routing in MANETs,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Vol. 2, Issue 4, 2017.
  37. M Rudra Kumar et all., “Data Error Detection and Time Reduction for Big Sensor Data Sets,” International Journal of Computer Science Engineering and Scientific Technology, July’2016.
  38. M Rudra Kumar et all., “Assessment of Change Request Artifacts Impact towards Fault Proneness,” International Journal of Computer Science Issues, Vol 11, Issue 5, 2014.
  39. M Rudra Kumar et all., “Assessing the Fault Proneness Degree (DFP) of Change Request Artifacts by Estimating the Impact of Change Request Artifacts Correlation,” International Journal of Information Processing(IJIP), Vol 8, Issue 4, 2014.
  40. M Rudra Kumar et all., “Assessing the Fault Proneness Degree (DFP) of Change Request Artifacts: A Statistical Bipartite Graph Strategy,” Eighth International Conference on Data Mining and Warehousing, 2014. (ELSEVIER Conference Procedia, SCOPUS)
  41. MadapudiRudra Kumar, A. Ananda Rao, and Gopichand Merugu, “Change requests artifacts to assess impact on structural design of SDLC phases.” Int’l J. Computer Applications 54.18 (2012): 21-26.

INTERNATIONAL AND NATIONAL CONFERENCES:

  1. M. SankarPrasanna, M. Rudra Kumar, “Protecting Web Servers from DDOS Attacks Using Websos”, International Conference on Advanced Computing Technologies (ICACT 2008), December-2008, GRIET, Hyderabad.
  2. M. Rudra Kumar, “Taxonomy of Artifacts in Object Oriented Development Paradigm: Current State of the Art”, IEEE Sponsored International Conference on Computing, Communication and Applications (ICCCA 2012), February-2012, PSNA College of Engineering, Dindigal, Tamilnadu.
  3. M. Rudra Kumar, “NYMBLE: Blocking Misbehaving Users in Anonymizing Networks”, International Conference on Computer Science and Engineering (ICCSE), International Conference on Computer Science and Engineering (ICCSE), July 2012, IRNet, Chennai. .
  4. M. Rudra Kumar, “A Schema for S/W Defect Forecasting”, National Conference on Recent Trends in Computing and Information Technology, NCRTC 2012. July 2012, School of Computing, Vignan University, Vadlamudi, Guntur, A.P. .
  5. M. Rudra Kumar, Dr. A Ananda Rao, “Assessing the Fault proneness Degree(DFP) of Change Requests and Change Requests Artifacts: A Statistical Bipartite Graph Strategy”, Eighth International Conference on Data Mining and Warehousing, July 2014, Society of Information Processing, Bengaluru and Visvesvaraya College of Engineering, Bengalore University, Bengaluru. .
  6. M. Rudra Kumar, “Cloud Social TV: A Mobile TV Based on Cloud”, AICT Sponsored 2nd National Conference on High Performance Computing and Networking(HPCN-2014), February 2014, Annamacharya Institute of Technology and Sciences, Rajampet, A.P. .
  7. M. Rudra Kumar, “Keyword Query Routing”, National Conference on Emerging Trends in Information, Digital & Embedded Systems, February 2015, Annamacharya Institute of Technology and Sciences, Dept. of ECE, Rajampet, AP. .
  8. M. Rudra Kumar, “Decentralized Access control with Anonymous Authentication of Data Stored in Clouds”, National Conference on Emerging Trends in Information, Digital & Embedded Systems, February 2015, Annamacharya Institute of Technology and Sciences, Dept. of ECE, Rajampet, AP. .
  9. M. Rudra Kumar, “To Control Toxic Waste by Using Wireless sensors, Arduino and Connecting Chip”, 7th National Conference on Advanced Computing and Technologies (NCACT ’20), March 2020, Velammal Engineering College, Chennai. .
  10. Reddy, D. Jayanarayana, and M. Rudra Kumar. “Crop Yield Prediction using Machine Learning Algorithm.” 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, May 6th -8th 2021, Vaigai College Engineering (VCE), Madurai, India. .