Back close
Admissions

Dr. Raj Kumar Batchu

Assistant Professor (Sl. Gd.), School of Computing, Amaravati

Qualification: Ph. D.
b_rajkumar@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Intrusion Detection, Health Care Data, Machine Learning, Deep Learning, Explainable AI.

Bio Publications FDP/ Workshops Invited Talks Awards
Bio

Dr. Raj Kumar Batchu is an Assistant Professor (Selection Grade) at the School of Computing, Amaravati Campus, Andhra Pradesh. He has over eight years of academic and industrial experience. His research interests encompass Intrusion Detection, Healthcare Data, Machine Learning, Deep Learning, and Explainable AI. He has published several high-quality research papers in top-indexed journals and has served as a reviewer for multiple prestigious journals, including those from Springer Nature, Elsevier, and World Scientific.

Dr. Batchu has delivered guest lectures on Python programming and has also served as a session chair at national-level conferences. Currently, he is supervising three Ph.D. scholars and mentoring several undergraduate students on research projects. He earned his Ph.D. from VIT-AP University, Andhra Pradesh, an M. Tech in Computer Science and Engineering from KL University in 2013, and a B.E. in Computer Science and Engineering from Anna University, Chennai, in 2011.

Dr. Batchu is deeply passionate about teaching and guiding students to work on real-world problem statements, fostering innovation and research excellence.

Publications

Journal Article

Year : 2024

A novel optimization-driven deep learning framework for the detection of DDoS attacks

Cite this Research Publication : Batchu, R. K., Bikku, T., Thota, S., Seetha, H., & Ayoade, A. A. (2024). A novel optimization-driven deep learning framework for the detection of DDoS attacks. Scientific Reports, 14(1), 28024, Springer Science and Business Media LLC, 2024, https://doi.org/10.1038/s41598-024-77554-9

Publisher : Springer Science and Business Media LLC

Year : 2023

Effective movie recommendation based on improved densenet model

Cite this Research Publication : Lakshmi Chetana V,  Batchu Raj Kumar, Devarasetty Prasad, Voddelli Srilakshmi, Dalli Varun Prasad , “Effective movie recommendation based on improved densenet model”, Multiagent and Grid Systems – An International Journal, Vol.19, No. 2, 133-147, 2023.

Publisher : Multiagent and Grid Systems

Year : 2023

A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine

Cite this Research Publication : Batchu, R. K., & Seetha, H. (2023). A hybrid detection system for DDoS attacks based on deep sparse autoencoder and light gradient boost machine. Journal of Information & Knowledge Management, 22(01), 2250071.

Year : 2023

Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features

Cite this Research Publication : Reddy, K. R., Batchu, R. K., Polinati, S., & Bavirisetti, D. P. (2023). Design of a medical decision-supporting system for the identification of brain tumours using entropy-based thresholding and non-local texture features. Frontiers in Human Neuroscience, 17, 1157155.

Year : 2022

On improving the performance of DDoS attack detection system

Cite this Research Publication : Batchu, R. K., & Seetha, H. (2022). "On improving the performance of DDoS attack detection system." Microprocessors and Microsystems, 93, 104571.

Publisher : Elsevier

Year : 2022

An integrated approach explaining the detection of distributed denial of service attacks

Cite this Research Publication : Batchu, R. K., & Seetha, H. (2022). "An integrated approach explaining the detection of distributed denial of service attacks." Computer Networks, 216, 109269.

Publisher : Elsevier

Year : 2021

A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning

Cite this Research Publication : Batchu, Raj Kumar, and Hari Seetha. "A generalized machine learning model for DDoS attacks detection using hybrid feature selection and hyperparameter tuning." Computer Networks, 200, (2021): 108498.

Publisher : Elsevier

Conference Paper

Year : 2022

Extended Packet Combining Schemes for Error Control in Wireless Networks

Cite this Research Publication : Kothapalli, S., Ningthoujam, S., Sahoo, S. R., Batchu, R. K., & Chakraborthy, S. K. (2022, February). "Extended packet combining schemes for error control in wireless networks." In 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) (pp. 1-7). IEEE.

Publisher : IEEE

Year : 2022

PCB-LGBM: A Hybrid Feature Selection by Pearson Correlation and Boruta-LGBM for Intrusion Detection Systems

Cite this Research Publication : Mallampati, S. B., Seetha, H., & Batchu, R. K., "PCB-LGBM: A hybrid feature selection by Pearson correlation and Boruta-LGBM for intrusion detection systems," In International Conference on Computational Intelligence and Data Engineering (pp. 523-533). Singapore: Springer Nature Singapore, August 2022.

Publisher : Springer

Year : 2020

A Brief Visit To The Landscape Of Cloud Ddos Attacks

Cite this Research Publication : B. Raj kumar, Amogh Katti, "A Brief Visit to the Landscape of Cloud DDoS Attacks," Recent Advances in Computer Based Systems, Processes and Applications, 15--26, 2020, CRC Press

Publisher : Recent Advances in Computer Based Systems, Processes and Applications

FDP/ Workshops
  • FDP on Python Software for Computing, organized by School of Advanced Sciences (SAS), VIT-AP University.
  • FDP on Artificial Intelligence using Python, organized by department of cse in collaboration with Brain O Vision, GMRIT.
  • FDP on Intellectual Property Rights and its Process for Academicians, organized by Innovation and Incubation Center, VIT-AP University
  • FDP on Multi-Technologies, in collaboration with Brainovision and National Youth Council of India, MVSR Engineering College.
  • FDP on The Frontiers of Cloud Computing and High Performance Computing, organized by department of CSE, GMRIT.
  • AICTE Sponsored 5 days FDP on Data Sciences, organized by Central University.
  • AICTE Sponsored one week STTP phase III on Machine Learning with Python in Data Science, organized by department of IT, SRM University.
  • AICTE Sponsored one week STTP phase IV on Machine Learning with Python in Data Science, organized by department of IT, SRM University.
  • Five days’ workshop on Cyber Security and Cyber Forensics, organized by School of Computer Science and Engineering, VIT-AP University.
  • AICTE Sponsored one-week short term program on Applied Machine Learning Algorithms and Applications, organized by department of ECE, Annamacharya institute.
  • Python for Data Science, organized by APSSDC in collaboration with EXCELR.
  • Master Deep Learning in 12 hours, organized by APSSDC in collaboration with EXCELR.
  • Cyber Physical Systems: Applications and Open Challenges at Indian Institute of Technology Hyderabad (IITH).
Invited Talks
  • One-day guest lecture “Hands on session on python programming “at QIS college of engineering.
  • Invited to serve as a Technical Session Co-Chair for the National-Level Conference – “Vision India @ 2047”
Awards
  • Recipient of the Raman Research Award from VIT-AP University for outstanding contributions in publishing high-quality research articles.
  • Received best paper award for paper presentation.
  • Best Student Award during M.Tech.
Admissions Apply Now