Dr. N. Srinivas Naik

Dr. N. SRINIVAS NAIK, Ph.D.

Associate Professor

Department of Computer Science and Engineering, 

Email: srinu [at] iiitk.ac.in | Contact Number: 08518-289135

Academic Qualifications

• Ph.D in Computer Science from the School of Computer and Information Sciences, University of Hyderabad (Hyderabad Central University), India.

• M.E in Computer Science from the School of Computer and Information Sciences, University of Hyderabad (Hyderabad Central University), India.

• B.E in Computer Science and Engineering from Osmania University, Hyderabad, India.

Areas of Interest

• Big Data Technologies

• Artificial Intelligence

• Deep Learning

• Large Language Models

• Image Processing

• Cloud Computing

Publication Profile

• Google Scholar Link: https://scholar.google.com/citations?user=gzhGQYYAAAAJ&hl=en

• Vidwan Id: 390953

• Scopus Id: 56405231300

• ORCID Id: 0000-0002-1554-8322

• Researcher Id: rid18761

Professional / Teaching Experience

• Associate Professor in in the Department of Computer Science and Engineering at IIITDM Kurnool from 9th October 2025 to Till Date.

• Assistant Professor (Grade I) in the Department of Computer Science and Engineering at IIITDM Kurnool from 4th May 2023 to 8th October 2025.

• Assistant Professor (Grade I) in the Computer Science and Engineering Department at IIIT Naya Raipur from 1st July 2021 to 3rd May 2023.

• Assistant Professor (Grade II) in the Department of Computer Science and Engineering at IIIT Naya Raipur from 4th June 2018 to 30th June 2021.

Funded Projects

• Project Title: Smart Agriculture for Tribes using Artificial Intelligence and BigData, Funded by MeitY (under CC&BT Group), Govt. of India, with Sanction No. 13(13)/2020-CC&BT of total budget outlay: Rs.70 Lakhs, Duration: 3 years, Role: Principal Investigator, Status: Completed.

•  Project Title: Identification of Diseases in Millet Crop using Deep Learning for Next Generation Climate-Smart Agriculture, Funded by SERB (under EEQ scheme) with File No. EEQ/2019/000439 of total budget outlay: Rs.25.62 Lakhs, Duration: 3 years, Role: Principal Investigator, Status: Completed.

• Project Title:  Development of Secured Voice-based AI-enabled Digital Payment Application for Indian Regional Languages , Funded by DST (IBITF, IIT Bhilai) with Administrative Approval No. IITBH/IBITF/Technology Development/2024-25/Major revision/Proposal2/0109 of total budget outlay: Rs.43.40 Lakhs, Duration: 2 years, Role: Principal Investigator, Status: Ongoing.

Consultancy Projects

• Project Title: Multi-Signal Cyber Defense, Funded by SECQAI Ltd., London, Duration: 1 year, Budget: 5 Lakhs, Role: Principal Coordinator, Status: Ongoing.   

Workshop(s) organized

1. Organized a National Level Workshop on BlockChain Technology as Coordinator, funded by DST (under ICPS programme) with the financial support of  Rs.7 Lakhs.

2. Organized a National Level Workshop on Sensor Networks, Internet of Things (IoT) and the Internet of Everything as Co-Coordinator, funded by DST (under the ICPS programme) with the financial support of  Rs.7 Lakhs.

3. Organized an online Workshop on Identification of Diseases in Millet Crops using Artificial Intelligence for the project’s end users as part of Scientific Social Responsibility (SSR) activities under the SERB Project.

Research Guidance

• Ph.D. – 02 (Completed), 08 (Ongoing)

• M.Tech – 08 (Completed), 03 (Ongoing)

• B.Tech – 50 (Completed), 08 (Ongoing)

Patents

1. Title of Patent: Smart Electricity Metering System and Method Thereof, Application Number: 202221045988, Patent Number: 425577, Date of Filing: 12/08/2022, Date of Grant: 17/03/2023, Status: Granted.

2. Title of Patent:  Artificial Intelligence Bot Enabled Stock Market Analysis Device,  Design Number:  396590-001, Date of Filing: July 2023, Date of Grant: March 2024, Status: Granted.

3. Title of Patent: Stair Climbing Mechanism, Design Number: 417178-001,  Date of Filing: May 2024, Date of Grant: January 2026, Status: Granted 

Refereed Journal Publications

1. Punna Rao Vuyyuru, Sathya Babu Korra, Nenavath Srinivas Naik, “Digital pathology of the living brain: a voxel-level spatio-temporal network for explainable ADHD diagnosis from raw rs-fMRI across multiple scanner sites,” Frontiers in Medicine, Vol. 13, Article 1839975, 2026.
   DOI: https://doi.org/10.3389/fmed.2026.1839975
2. Punna Rao Vuyyuru, Sathya Babu Korra, Nenavath Srinivas Naik, T. Gokaramaiah, “Four-Source Voxel-Level 3D-CNN with Hierarchical Feature Fusion of rs-fMRI and sMRI Derivatives for ADHD Classification,” IEEE Open Journal of Engineering in Medicine and Biology, 2026.
   DOI: https://doi.org/10.1109/OJEMB.2026.3732708
3. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “MyoNet: intelligent feature engineering for precise early prediction of myocardial infarction,” Soft Computing, Vol. 30, No. 4, pp. 2941–2959, 2026.
   DOI: https://doi.org/10.1007/s00500-025-11050-8
4. Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik, “Optimising job scheduling in Apache Spark: a simulation framework for algorithm comparison and performance prediction,” International Journal of Ad Hoc and Ubiquitous Computing, Vol. 52, No. 3, pp. 145–157, 2026.
   DOI: https://doi.org/10.1504/IJAHUC.2026.155464
5. Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik, “Proactive Straggler Prediction for Enhanced Data Center Performance,” Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2026.
   DOI: https://doi.org/10.1007/s40010-026-01087-1
6. S. A. Azeez, Ravi Kumar Mandava, Nenavath Srinivas Naik, “A novel review on quadruped robots design variants, gait modulation, and motion planning schemes,” Journal of Field Robotics, Vol. 42, No. 7, pp. 3615–3693, 2025.
   DOI: https://doi.org/10.1002/rob.22575
7. Vishnu Prasad Verma, Sumit Kumar, Santosh Kumar, Nenavath Srinivas Naik, Rishav Dubey, “Optimizing Spark job scheduling with distributional deep learning in cloud environments,” Journal of Cloud Computing, Vol. 14, Article 59, 2025.
   DOI: https://doi.org/10.1186/s13677-025-00773-6
8. Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik, “Adaptive node-oriented data placement for heterogeneous Hadoop clusters,” IEEE Access, Vol. 13, pp. 79548–79559, 2025.
   DOI: https://doi.org/10.1109/ACCESS.2025.3565759
9. Nenavath Srinivas Naik, Harshit Kumar Chaubey, “Weed detection and classification in sesame crops using region-based convolution neural networks,” Neural Computing and Applications, Vol. 36, pp. 18961–18977, 2024.
   DOI: https://doi.org/10.1007/s00521-024-10231-0
10. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “Quantum Leap in Cardiac Prognosis: EMIP-CardioPPG’s Pioneering Approach to Early Myocardial Infarction Prediction,” Signal, Image and Video Processing, Vol. 18, pp. 8723–8737, 2024.
    DOI: https://doi.org/10.1007/s11760-024-03503-8
11. Harshita Mandalika, Jyothsna Nakka, Nenavath Srinivas Naik, “Prediction of dengue fever using supervised machine learning based on hyperparameter tuning and an analysis of the factors influencing dengue spread,” International Journal of Artificial Intelligence and Soft Computing, Vol. 8, No. 1, pp. 62–86, 2024.
    DOI: https://doi.org/10.1504/IJAISC.2023.137356
12. Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala, Ruhul Amin, “Detecting and Predicting Countermeasures against Clickjacking,” Security and Privacy, 2023.
    DOI: https://doi.org/10.1002/spy2.302
13. Sonal Singh, Swastik Dashore, Jatin Prasad, Nenavath Srinivas Naik, “iCrop: a framework for identification of millet crop diseases via segmentation and feature extraction,” Indian Phytopathology, Vol. 76, pp. 803–812, 2023.
    DOI: https://doi.org/10.1007/s42360-023-00660-7
14. Bodicherla Digvijay Sri Sai, Ramisetty Nikhil, Shivangini Prasad, Nenavath Srinivas Naik, “A Decentralised KYC based Approach for Microfinance using Blockchain Technology,” Cyber Security and Applications, 2023.
    DOI: https://doi.org/10.1016/j.csa.2022.100009
15. Santosh Kumar, Sachin Kumar Gupta, Vinit Kumar, Manoj Kumar, Mithilesh Kumar Chaube, Nenavath Srinivas Naik, “Ensemble Multimodal Deep Learning Framework for Early Diagnosis and Accurate Classification of COVID-19,” Computers and Electrical Engineering, Vol. 103, Article 108396, 2022.
    DOI: https://doi.org/10.1016/j.compeleceng.2022.108396
16. Santosh Kumar, Mithilesh Kumar Chaube, Nenavath Srinivas Naik, Sachin Kumar Gupta, Sumit Kumar Tetarave, “Privacy Preservation and Security Challenges: A New Frontier Multimodal Machine Learning Research,” International Journal of Sensor Networks, Vol. 39, No. 4, 2022.
    DOI: https://doi.org/10.1504/IJSNET.2022.10049988
17. Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi, “Energy-aware scheduling using slack reclamation for cluster systems,” Cluster Computing, Vol. 23, pp. 911–923, 2020.
    DOI: https://doi.org/10.1007/s10586-019-02965-7
18. Nenavath Srinivas Naik, Atul Negi, Tapas Bapu B.R., R. Anitha, “A Data Locality based Scheduler to Enhance MapReduce Performance in Heterogeneous Environments,” Future Generation Computer Systems, Vol. 90, pp. 423–434, 2019.
    DOI: https://doi.org/10.1016/j.future.2018.07.043
19. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Improving Straggler Task Performance in a Heterogeneous MapReduce Framework using Reinforcement Learning,” International Journal of Big Data Intelligence, Vol. 5, No. 4, pp. 201–215, 2018.
    DOI: https://doi.org/10.1504/IJBDI.2018.094956

International Conferences

1. 1. Darshna Drisha Konwar, Dipty Tripathi, Nenavath Srinivas Naik, “A Multistage Enhancement Strategy for Robust Object Detection in Adverse Weather Conditions,” 2026 Contemporary Computing Innovations Conference (CCIC), pp. 1–5, 2026.
      DOI: https://doi.org/10.1109/CCIC68129.2026.11486244
   2. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “SMART-MI: Scalable Machine Learning Approach for Risk Tracking in Myocardial Infarction Prediction,” 2025 13th International Conference on Intelligent Systems and Embedded Design (ISED), pp. 206–212, 2025.
      DOI: https://doi.org/10.1109/ISED67359.2025.11405190
   3. Thota Gokaramaiah, Korra Sathya Babu, K. Nagaraju, Nenavath Srinivas Naik, “Disentangled Latent Augmentation for Abnormality Detection in Musculoskeletal Radiographs,” International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2025), pp. 205–216, 2025. 
      DOI: https://doi.org/10.1007/978-981-95-4957-3_17  
   4. Nenavath Srinivas Naik, “Automated Disease Detection in Millet Crops Using Deep Learning,” International Conference on Multi-disciplinary Trends in Artificial Intelligence (MIWAI), Thailand, pp. 194–205, 2024.
      DOI: https://doi.org/10.1007/978-981-96-0695-5_16
   5. Vishnu Prasad Verma, Santosh Kumar, Nenavath Srinivas Naik, “Performance Analysis of Apache Spark Job Schedulers for Big Data Processing,” IEEE Region 10 Symposium (TENSYMP), 2024.
      DOI: https://doi.org/10.1109/TENSYMP61132.2024.10752267
   6. Harshit Kumar Chaubey, Siri Arelli, Aryan Raj, Nenavath Srinivas Naik, “Coffee Leaf Disease and Severity Prediction Using Deep Learning,” IEEE Region 10 Conference (TENCON), 2023.
      DOI: https://doi.org/10.1109/TENCON58879.2023.10322425
   7. Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan, “Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning,” IEEE Region 10 Conference (TENCON), 2023.
      DOI: https://doi.org/10.1109/TENCON58879.2023.10322447
   8. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, Tejasv Bhatt, “A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques,” 21st OITS International Conference on Information Technology (OCIT 2023), pp. 381–386, 2023.
      DOI: https://doi.org/10.1109/OCIT59427.2023.10430780
   9. Deepika Marella, Roopa Navya Muthi, Buchammagari Avinash Reddy, Kaniganti Priyanka Saraswathi, Vijender Busi Reddy, Nenavath Srinivas Naik, “Unveiling Network Anomalies: A Comparative Study of Real-time Log-Based Detection Approach,” IEEE 20th India Council International Conference (INDICON), 2023.
      DOI: https://doi.org/10.1109/INDICON59947.2023.10440834
   10. V. Mishra, Nenavath Srinivas Naik, S. Kumar, S. H. Alsamhi, A. Saif, E. Curry, “Maize Plant Disease Prediction of UAV Images for Precision Agriculture using Fusion of Multimodal,” 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, 2023.
       DOI: https://doi.org/10.1109/ICCIT58132.2023.10273966
   11. Devansh Mehta, Vishnu Prasad, Tarun Chitta, Nenavath Srinivas Naik, Amit Prakash, Vashistha, “Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdown,” ACM COMPASS 2022, Seattle, USA, pp. 180–194, 2022.
       DOI: https://doi.org/10.1145/3530190.3534827
   12. Ankita Sharma, Anushtha Tamrakar, Sourajita Dewasi, Nenavath Srinivas Naik, “Early Prediction of Crop Yield in India using Machine Learning,” IEEE Region 10 Symposium (TENSYMP), 2022.
       DOI: https://doi.org/10.1109/TENSYMP54529.2022.9864490
   13. Vishnu Prasad Verma, Nenavath Srinivas Naik, Santosh Kumar, “Reinforcement Learning based scheduling for Spark Jobs in Cloud Environment,” IEEE UPCON 2022.
       DOI: https://doi.org/10.1109/UPCON56432.2022.9986440
   14. Sonal Singh, Jatin Prasad, Shivangini Prasad, Nenavath Srinivas Naik, “Breast Cancer Prediction using Supervised Machine Learning Techniques,” IEEE 18th India Council International Conference (INDICON), IIT Guwahati, 2021.
       DOI: https://doi.org/10.1109/INDICON52576.2021.9691609
   15. Bodicherla Digvijay Sri Sai, Ramisetty Nikhil, Payarda Santosh Babu, Nenavath Srinivas Naik, “Traffic Management using Computer Vision and SUMO,” IEEE 18th India Council International Conference (INDICON), IIT Guwahati, 2021.
       DOI: https://doi.org/10.1109/INDICON52576.2021.9691665
   16. Kavyansh Chourasia, Aishwarya Maurya, Akash Deep, Nenavath Srinivas Naik, “Emotional Analysis and Trends in Music Development,” IEEE 17th India Council International Conference (INDICON), New Delhi, 2020.
       DOI: https://doi.org/10.1109/INDICON49873.2020.9342281
   17. Sanchita Khare, Jai Kumar Dewani, Loveleen Amar, Nenavath Srinivas Naik, “Deep Analysis on Fisheries Classification,” IEEE 17th India Council International Conference (INDICON), New Delhi, 2020.
       DOI: https://doi.org/10.1109/INDICON49873.2020.9342219
   18. Rahul Medi, Shiva Saketh Karnekanti, Sanjeet Attili, Nenavath Srinivas Naik, “Early Detection of Forest Fire using Deep Learning,” TENCON 2020 – IEEE Region 10 Conference, Osaka, Japan, 2020.
       DOI: https://doi.org/10.1109/TENCON50793.2020.9293722
   19. Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik, “Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms,” TENCON 2019, Kochi, India, 2019.
       DOI: https://doi.org/10.1109/TENCON.2019.8929434
   20. D. Durga Bhavani, K. Rajeswari, Nenavath Srinivas Naik, “Big Data Analytics on Aadhar Card Dataset in Hadoop EcoSystem,” International Conference on Artificial Intelligence and Cognitive Computing (AICC), 2018.
       DOI: https://doi.org/10.1007/978-981-13-1580-0_44
   21. Nimmala Satyanarayana, Ramadevi Yellasiri, Nenavath Srinivas Naik, Ramalingaswamy Cheruku, “Predicting High Blood Pressure using Decision Tree Based Algorithm,” International Conference on Latest Advances in Machine Learning and Data Science (LAMDA), 2018.
       DOI: https://doi.org/10.1007/978-981-10-8569-7_6
   22. Nenavath Srinivas Naik, Atul Negi, “A Learning-based MapReduce Scheduler in Heterogeneous Environments,” 6th IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.
       DOI: https://doi.org/10.1109/ICACCI.2017.8126142
   23. Gangala Ramya, Nenavath Srinivas Naik, “Implementation of Telugu Speech Synthesis System,” 6th IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.
       DOI: https://doi.org/10.1109/ICACCI.2017.8125997
   24. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Enhancing Performance of MapReduce Framework in Heterogeneous Environments,” 21st IEEE International Conference on Advanced Computing and Communications (ADCOM), IIT Madras, 2015.
       DOI: https://doi.org/10.1109/ADCOM.2015.16
   25. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Enhancing the Performance of MapReduce Default Scheduler by Detecting Prolonged TaskTrackers in Heterogeneous Environments,” 2nd International Conference on Computer and Communication Technologies (IC3T), 2015.
       DOI: https://doi.org/10.1007/978-81-322-2523-2_21
   26. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Performance Improvement of MapReduce Framework by Identifying Slow TaskTrackers in Heterogeneous Hadoop Cluster,” 3rd International Conference on Advanced Computing, Networking, and Informatics (ICACNI), 2015.
       DOI: https://doi.org/10.1007/978-81-322-2529-4_49
   27. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Performance Improvement of MapReduce Framework in Heterogeneous Context using Reinforcement Learning,” 2nd International Symposium on Big Data and Cloud Computing Challenges (ISBCC), Procedia Computer Science, Vol. 50, pp. 169–175, 2015.
       DOI: https://doi.org/10.1016/j.procs.2015.04.080
   28. Nenavath Srinivas Naik, Kethavath Prem Kumar, D. Vasumathi, “Securing Information by Performing Forensic and Network Analysis on Hosted Virtualization,” IEEE International Conference on Computer and Communications Technologies (ICCCT), Hyderabad, 2014.
       DOI: https://doi.org/10.1109/ICCCT2.2014.7066717
   29. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “A Review of Adaptive Approaches to MapReduce Scheduling in Heterogeneous Environments,” 3rd IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2014.
       DOI: https://doi.org/10.1109/ICACCI.2014.6968497
   30. Kethavath Prem Kumar, Nenavath Srinivas Naik, “Self-Healing Model for Software Application,” IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Jaipur, 2014.
       DOI: https://doi.org/10.1109/ICRAIE.2014.6909207

Book Chapters

1. 1. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “ECG Signal Processing for Disease Prediction: A Case Study of Myocardial Infarction Prediction,” in Sensor Signal Processing for Intelligent Systems, Studies in Computational Intelligence, Vol. 1275, pp. 113–151, Springer, 2026.
      DOI: https://doi.org/10.1007/978-3-032-19543-2_6
   2. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “Sustainable health monitoring with multimodal fusion: a federated IoMT framework for early myocardial infarction detection,” in Smart City Computational Paradigms, pp. 213–236, Elsevier, 2026.
      DOI: https://doi.org/10.1016/B978-0-44-327726-9.00019-8
   3. Nenavath Srinivas Naik, Athota Kavitha, L. Nirmala Devi, B. Vijender Reddy, “DAGE: A Deviation Assessment-Based Grey-Hole Detection Method for Ad Hoc Wireless Networks,” in Next Generation Systems and Networks, pp. 163–171, Springer, 2023.
      DOI: https://doi.org/10.1007/978-981-99-0483-9_15
   4. Bonda Likitha, Jyothsna Nakka, Jyotsana Verma, Nenavath Srinivas Naik, “Prediction of Breast Cancer Analysis using Machine Learning Algorithms and XGBoost Technique,” in Data Science and Computational Intelligence, pp. 298–313, Springer, 2022.
      DOI: https://doi.org/10.1007/978-3-030-91244-4_24
   5. Jannaikode Yashwanth Kumar, Nenavath Srinivas Naik, “COVID-19 Risk Management: A Mobile Application to Notify Alerts and Provide Real-time COVID-19 Updates,” in Innovative Data Communication Technologies and Application, pp. 507–518, Springer, 2021.
      DOI: https://doi.org/10.1007/978-981-15-9651-3_42
   6. Nenavath Srinivas Naik, Ramalingaswamy Cheruku, “Impact of COVID-19 Pandemic on Obese and Asthma Patients: A Systematic Review,” in Intelligent Healthcare, pp. 271–287, Springer, 2021.
      DOI: https://doi.org/10.1007/978-3-030-67051-1_17
   7. Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik, “Stroke Prediction using Machine Learning in a Distributed Environment,” in Distributed Computing and Internet Technology, pp. 238–252, Springer, 2020.
      DOI: https://doi.org/10.1007/978-3-030-65621-8_15

Research Work Presented in Ph.D. Forums:

• Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “Performance Improvement of MapReduce Parallel Processing Framework in Heterogeneous Environments”, Poster Presented in Ph.D. Forum of the 29th IEEE International Parallel and Distributed Processing Symposium (IEEE IPDPS), Hyderabad, May 2015.

• Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “Enhancing Performance of MapReduce Framework in Heterogeneous Environments” Research Work Presented in Ph.D. Forum at 21st IEEE International Conference on Advanced Computing and Communications (IEEE ADCOM), IIT Madras, September 2015.

• Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “A Data Locality based MapReduce Scheduler in Heterogeneous Environments” Poster Presented in 9th Student Research Symposium of the 23rd IEEE International Conference on High Performance Computing, Data, and Analytics, (IEEE HIPC), Hyderabad, December 2016.

Administrative Responsibilities

• Current Administrative Responsibilities

  • Associate Dean – Sponsored Research & Industrial Consultancy (SRIC)
  • Convenor – Research Council
  • Member – Senate (Ex-officio)
  • Lab In-Charge – High Performance Computing Lab
  • Member – Departmental Purchase Committee
  • Member – Departmental Coding Club Committee
  • 
    

  Previous Administrative Responsibilities

  • Head of the Department (HoD) – Computer Science and Engineering
  • Senate – Ex-officio Member & Invitee  
  • Chairman – Departmental Purchase Committee
  • Chairman – Departmental Research Committee
  • Chairman – Departmental Academic Committee
  • Research Council – Ex-officio & Member  
  • Member Secretary – Institute–Industry Cell
  • Coordinator – M.Tech. Programme
  • Faculty In-Charge (FIC) – Networks and Internet
  • Lab In-Charge – Software Design and Product Development Lab
  • Lab In-Charge – Big Data Computing Lab
  • 
    

  Professional & External Responsibilities

  • Secretary – IEEE CIS/GRSS Joint Chapter, Hyderabad Section
  • Finance Committee Chair – IEEE India Geoscience and Remote Sensing Symposium (InGARSS) 2026
  • Reviewer & Technical Program Committee (TPC) Member – International Journals and Conferences

Professional membership

• IEEE Senior Member (93142115)

• ACM Professional Membership (8541379)

• IEEE Computer Society Membership

• IEEE Computational Intelligence Society Membership

• IEEE Young Professionals

• IEEE Big Data Community

Courses Handled

• Operating Systems

• Big Data Technologies

• Data Structures

• Cloud Computing

• Advanced Data Structures

• Big Data Tools & Techniques

• Database Management Systems

Accolades

• Received International Travel Support (ITS) from SERB (DST) to present research work at IEEE Region 10 Technical Conference (TENCON), Thailand, November 2023. 

• Received Rajiv Gandhi National Fellowship (RGNF) from University Grants Commission (UGC) during Ph.D. for five years.

• Qualified APSET (Andhra Pradesh State Eligibility Test) in Computer Science & Applications in 2012.

• Received the Travel Grant Awards to present a poster in 29th IEEE IPDPS 2015 and 23rd IEEE HIPC 2016 at HICC, Hyderabad, India