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Dr. Raj Kumar Batchu

Assistant Professor (Sr.Gr), Computer Science and Engineering, Amaravati

Qualification: Ph.D
b_rajkumar@av.amrita.edu
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Research Interest: Intrusion detection, Machine learning, Explainable AI

Bio Publications FDP/Workshops Achievements
Bio

Dr Raj kumar Batchu received his Ph.D. from VIT-AP university, Andhra Pradesh. M.Tech degree in Computer Science and Engineering from KLUniversity in 2013 and B.E in Computer Science and Engineering from Anna University, Chennai in 2011. Currently working as Assistant professor (Sr.Gr) in the department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amaravati Campus, Andhra Pradesh. He had an academic and industrial experience. His research interests include Machine Learning, Intrusion Detection, and Explainable AI.

Publications

Conference Proceedings

Year : 2023

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

Cite this Research Publication : Raj Kumar Batchu ,PCB-LGBM: A Hybrid Feature Selection by Pearson Correlation and Boruta-LGBM for Intrusion Detection Systems, Proceedings of International Conference on Computational Intelligence and Data Engineering.

Publisher : Springer

Year : 2022

Extended Packet Combining Schemes for Error Control in Wireless Networks

Cite this Research Publication : Sathwik Kothapalli,Sanjit Ningthoujam, Somya Ranjan Sahoo, Rai Kumar Batchu, Swarnendu K Chakraborthy, Extended Packet Combining Schemes for Error Control in Wireless Networks.

Publisher : IEEE

Year : 2020

A Brief Visit To The Landscape Of Cloud Ddos Attacks

Cite this Research Publication :

Journal Article

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 tumors 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 : 3. 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 : 5. 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

FDP/Workshops

Attended various 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).
Achievements

Awards

  • Research Award from VIT-AP universit

Invited Talks

  • One-day guest lecture “Hands on session on python programming “at QIS college of engineering
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