HomeFacultyDr.AparnaRajesh Atmakuri
Dr.AparnaRajesh Atmakuri

Quick facts

Research areas: AI-Driven Cyber security, Federated Learning, Blockchain


Roles: Academic researcher and educator; teaches technical subjects

Dr.AparnaRajesh Atmakuri

Associate Professor, CSE

Dr. Aparna Rajesh Atmakuri (also published as Aparna Manikonda) holds a PhD in Computer Science and Engineering from VTU, Belagavi. Over a 20-year academic career, she has held faculty and HOD positions across institutions in Odisha, Karnataka, and Telangana. She has published 50+ papers in SCI and Scopus-indexed journals and conferences, authored 6 books, holds 7 published patents, and has delivered invited talks on research methodology and scientific writing at institutions. Her work has been recognized with several awards, including the Inspiring Professor Award, the Best Researcher Award, and the Best Teacher Award. Her research spans AI-Driven Cyber security, Federated Learning, Blockchain

Ph.D.in Computer Science, MTech-CSE, B.E-IT

  1. Present R&D coordinator-KMEC
  2. Served as HOD-CSE for 5 consecutive years
  3. Led NBA and NAAC accreditation work
  4. Session chair for international conferences
  5. Invited Speakers for workshops to facilitate research outcomes
  6. Associate editor and reviewer of Peer reviewed Journals(SCI and Scopus)
  7. Jury member, Smart India Hackathon , Internal Hackathon
  8. Contributed to DRDO-funded research initiatives:
  • Development of Algorithms for Video Shot Detection and Video Summarization — CVRDE, at NMIT Bengaluru, under DRDO, Ministry of Defence, Govt. of India
  • Development of a Real-Time Human Tracking Capability on a Mobile Platform — at NMIT Bengaluru, under CAIR, DRDO, Bangalore
  • TIFAC-CORE in 3G/4G Communication Technologies — at NIST Berhampur, under the Department of Science and Technology, Government of India

R&D coordinator

Project School mentor

  • Aparna Rajesh Atmakuri, K. Hemant Kumar Reddy, “RLeHLDD: A reinforcement learning enabled Human-in-the-Loop framework for multi-domain Deepfake Detection approach”,Advanced Engineering Informatics,Volume 76, Part A,2026,104861,ISSN 1474-0346, https://doi.org/10.1016/j.aei.2026.104861.(SCI-9.9)
  • AparnaRajesh A et.al(2026), “Adaptive Hierarchical Quantum Key Management for Underwater Sensor Networks”, IEEE Access
  • D. Ganu, S. S. Gantayat, B. K. Mishra, A. Ganu, A. R. Atmakuri and T. Reddy, "Two-Layer Input Filtering Framework for Large Language Model Security," 2026 IEEE International Conference for Convergence in Computing Technology (I3CTCON), Lonavala, India, 2026, pp. 1-6, doi: 10.1109/I3CTCON68242.2026.11507202.
  • AparnaRajesh A et.al(2026), “Overcoming the Security-Energy Trade-off in Underwater Sensor Networks: A Trust-Weighted Reinforcement Learning Approach”, ICSML-2026
  • AparnaRajesh A et.al(2026), “ Empirical Evaluation of Federated Fine-Tuning of Pretrained Language Models for Medical Sentence Classification Under Data Heterogeneity”, ICAGEC(2026)
  • AparnaRajesh A et.al(2026), “Enhancing Digital Forensic Chain-of-Custody Integrity through Blockchain: Hash-Based Attribution and Workflow Anomaly Analysis”, ICICT(2026)
  • AparnaRajesh A et.al(2026), “A Multi-Layer Security Framework for LLM Prompt Safety: Design, Adversarial Evaluation, and Model-Agnostic Deployment” ICSSETES 2026
  • Patra, S., Mishra, M. R., Patra, S. S., Atmakuri, A., Dash, B. B., & De, U. C. (2026, February). Deepsea: a Deep Learning-Based Secure and Energy-Aware Adaptive Protocol for Underwater Sensor Networks. In 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL) (pp. 1226-1231). IEEE.
  • Atmakuri, A. R., Nandini, G., Samantaray, A., Chappa, M., & Padhi, S. (2025, September). A Hybrid Framework for Predicting Stock Market Volatility Using Financial Models and Machine Learning. In 2025 7th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-4). IEEE.
  • Atmakuri, A., Patra, G. S., Sahu, G., Tripathy, A., Rout, T., & Padhi, S. (2025, October). Automated Preprocessing and Deep Learning for Non-Invasive Anemia Estimation Using Conjunctival Images. In 2025 IEEE 2nd International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST) (pp. 1-5). IEEE.
  • Patra, S., Mishra, M. R., Singh, S., Atmakuri, A., Dash, B. B., & Patra, S. S. (2025, May). AEUSNF: Adaptive Energy-Efficient Underwater Sensor Network Framework. In 2025 6th International Conference for Emerging Technology (INCET) (pp. 1-6). IEEE.
  • Ankalaki, S., Atmakuri, A. R., Pallavi, M., Hukkeri, G. S., Jan, T., & Naik, G. R. (2025). Cyber attack prediction: From traditional machine learning to generative artificial intelligence. Ieee Access, 13, 44662-44706. DOI: 10.1109/ACCESS.2025.3547433
  • G. M. Kiran, A. Aparna Rajesh, D. Basavesha, "DS-RAE: Advance Hybrid Double Residual Self-Attention and Recursive Autoencoder Approach for Dynamic Cloud Workload Forecasting ", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.17, No.5, pp. 42-61, 2025. DOI:10.5815/ijigsp.2025.05.04
  • Kiran, G. M., AparnaRajesh A., & Basavesha, D. (2025). AS-ODB: Multivariate Attention Supervised Learning Based Optimized DBN Approach for Cloud Workload Prediction. Optical Memory and Neural Networks, 34(3), 389-401.
  • AparnaRajesh A et.al.(2024), “Enhancing Stock Market Prediction: Addressing Non-Linear Complexities Using Advanced Machine Learning Algorithms”, International Conference on Advance Computing and Ingenious Technology In Engineering Science-ICACITES-24(Accepted and Presented)
  • AparnaRajesh A et.al.(2024), “Advanced Patient-Controlled Smart Contracts on Hyperledger for Secure Healthcare Data Management”, International Conference on Advance Computing and Ingenious Technology in Engineering Science-ICACITES-24(Accepted and Presented)
  • Atmakuri, A., Sahoo, A., Behera, D. K., Gourisaria, M. K., & Padhi, S. (2024, September). Dynamic resource optimization for cloud encryption: Integrating aco and key-policy attribute-based encryption. In 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA) (pp. 424-428). IEEE.
  • Atmakuri, A., Sahoo, A., Mohapatra, Y., Pallavi, M., Padhi, S., & Kiran, G. M. (2025). Securecloud: Enhancing protection with MFA and adaptive access cloud. In Advances in Electrical and Computer Technologies (pp. 147-152). CRC Press.
  • AparnaRajesh A et.al.(2024) “Survey on Diverse Access Control Techniques in Cloud Computing”,https://www.taylorfrancis.com/chapters/edit/10.1201/9781003581215-39/survey-diverse-access-control-techniques-cloud-computing-amiya-sahoo-aparna-rajesh-kiran?context=ubx
  • Aparna Manikonda and Nalini N(2022), “Fine-grained Access Control in Distributed Cloud Environment using Trust Valuation Model” International Journal of Advanced Computer Science and Applications(IJACSA), 13(9), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130978
  • Aparna Manikonda, N. Nalini(2022), "Access Control in Cloud Computing using Swarm based Intelligence" International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 167-175, 2022. https://doi.org/10.14445/22315381/IJETT-V70I9P217
  • A. Manikonda and N. Nalini(2021), "Fine Grained Security in Cloud with Cryptographic Access Control," 2021 International Conference on Advance Computing and Innovative  Technologies in Engineering (ICACITE), 2021, pp. 154-157, DOI: 10.1109/ICACITE51222.2021.9404685
  • Aparna, M., Nalini, N. (2020). A Novel Access Control for Cloud Services Using Trust Based Design. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_76  
  • P. Chaparala, A. R. Atmakuri and S. S. S. Rao, "3 -Phase Leader Election Algorithm for Distributed Systems," 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 2019, pp. 898-904, doi: 10.1109/ICCMC.2019.8819837.
  • V. Narayana, M; atmakuri, aparnarajesh. A-zhls: adaptive zhls routing protocol for heterogeneous mobile adhoc networks. International journal of engineering & technology, [s.l.], v. 7, n. 3, p. 1626-1630, aug. 2018. Issn 2227-524x. 
  • M V Narayana, Rishi Sayal, H.S. Saini, Aparna Manikonda “Timestamp Based Certified Routing for Authorization and Authentication in Mobile Ad Hoc Network” Journal of Advanced Research in Dynamical and Control Systems, vol.10, no.10, pp. 351-358
  • Manikonda Aparna and Motahar Reza “Throughput analysis by Varying the Network Size in Manet”. in Proceedings of 2nd IEEE International conference on computational intelligence and communication network system, Gwalior, Oct 2011
  • Manikonda Aparna and Motahar Reza “Throughput analysis by robust routing in Manet”. in International Journal of Computer Science and Information Technologies, Vol.2, no.6, pp 2602-2606, Nov 2011
  • Manikonda Aparna, Arkhaprabha bahduri mandal and Motahar Reza “Throughput analysis of Manet using Poisson process”. in Proceedings of 2nd IEEE national Conference on Emerging Trends and Applications in Computer Science, Shillong, March 2012
  • Manikonda Aparna and Motahar Reza “An Efficient approach towards Robust Routing in MANET”. in proceedings of Second IEEE International Conference on Communication Systems and Network Technologies, Bhopal, May 2012
  • Manikonda Aparna, Santi behera, Rashmita jena, Motahar Reza “Energy efficiency of wireless sensor network by Topology control Using MEMSIC”. in proceedings of Second IEEE International Conference on Communication Systems and Network Technologies, Bhopal, May 2012
  • Manikonda Aparna, Rashmita Jena, Chinmaya Sahu, Rajeev Ranjan, Rajesh Atmakuri, “Ensuring Audit Log Accountability through Hash Based Techniques”. In proceedings of international conference on future networks, Kolkata, June 2012
  • Manikonda Aparna, Rashmita Jena “Electronic Health records using time Stamping”. In International journal of future networks, June 2012
  • Manikonda Aparna, Rajesh Atmakuri “Performance analysis of Manet with Random Topology using Poisson distribution” in Proceedings of IEEE conference on Advancement in communication and technology, Chennai, July 2012
  • Manikonda Aparna, Jharna Majumdhar, Venkatesh GM, “Adaptive Enhancement of Underwater Images”, in proceedings of SPRINGER on 4th International conference of signal and image processing, Coimbatore, Dec 13-15,2012.
  • Aparna Manikonda, Aminuddin Zabi and Touseef Yousuf, “A New Method for Controlling and Maintaining Topology in Wireless Sensor Networks”, International Journal of Computer Networks & Communications (IJCNC) Vol.6, No.4, July 2014
  • Manikonda Aparna, Poonam Tijare, Shruthi K, “An Approach for improving elasticity in cloud using Neural network” International Journal of Combined Research & Development (IJCRD) Volume: 3; Issue: 6; December 2014        
  • Sowmya N, M. Aparna, P. Tijare and Nalini N, "An adaptive load balancing strategy in cloud computing based on Map reduce," 2015 1st International Conference on Next Generation Computing Technologies (NGCT), Dehradun, 2015, pp. 86-89.
  • Radha D N, P. V. Tijare and M. Aparna, "A rechargeable framework for improving throughput in wireless sensor network," 2015 International Conference on Trends in Automation, Communications and Computing Technology (I-TACT-15), Bangalore, India, 2015, pp. 1-4.


Start your journey with us