Dr. N. Srinivas Naik

Dr. N. SRINIVAS NAIK, PhD

Assistant Professor (Grade-I) & HoD,

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

  • Cloud Computing

  • Deep Learning

  • Machine Learning

  • Image Processing

Publication Profile

Professional / Teaching Experience

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

  • 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 (Ongoing)

  • M.Tech – 04 (Completed)

  • B.Tech- 30 (Completed)

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.

International Journal Publications

  1. Nenavath Srinivas Naik, Atul Negi, V. N. Sastry, “Improving Straggler Task Performance in a Heterogeneous MapReduce Framework using Reinforcement Learning” in International Journal of Big Data Intelligence (IJBDI), Vol. 5, No. 4, pp. 201-215 (2018). ISSN online: 2053-1397 [DBLP]
      https://doi.org/10.1504/IJBDI.2018.094956

  2.  Nenavath Srinivas Naik, Atul Negi, Tapas Bapu B.R., R. Anitha, “A Data Locality based Scheduler to Enhance MapReduce Performance in Heterogeneous Environments” in Future Generation Computer Systems (FGCS), Vol. 90, pp. 423-434 (2019). [SCI] https://doi.org/10.1016/j.future.2018.07.043

  3. Ashish Kumar Maurya, Kashish Modi, Vinay Kumar, Nenavath Srinivas Naik, Anil Kumar Tripathi, “Energy-aware scheduling using slack reclamation for cluster systems” in Cluster Computing, Vol. 23 pp. 911-923 (2020). ISSN online: 1573-7543, [SCI] https://doi.org/10.1007/s10586-019-02965-7

  4. 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” in Computers and Electrical Engineering, Vol. 103, (2022). ISSN online: 0045-7906, [SCI]
    https://doi.org/10.1016/j.compeleceng.2022.108396

  5. Santosh Kumar, Mithilesh Kumar Chaube and Nenavath Srinivas Naik, Sachin Kumar Gupta, Sumit Kumar Tetarave, “Preservation and Security Challenges: A New Frontier Multimodal Machine Learning Research” in International Journal of Sensor Networks, Vol. 39, No. 4, (2022). ISSN online: 1748-1287, [SCI]    https://dx.doi.org/10.1504/IJSNET.2022.10049988

  6. Bodicherla Digvijay Sri Sai, Ramisetty Nikhil, Shivangini Prasad, Nenavath Srinivas Naik, “A Decentralised KYC based Approach for Microfinance using Blockchain Technology” in Cyber Security and Applications, (2022), ISSN online: 2772-9184 https://doi.org/10.1016/j.csa.2022.100009

  7. Aryaman, Nenavath Srinivas Naik, Satyanarayana Vollala, Ruhul Amin, “Detecting and Predicting countermeasures against Clickjacking” in Security and Privacy, (2023), ISSN online: 2475-6725, [ESCI]
     https://doi.org/10.1002/spy2.302

  8. Nenavath Srinivas Naik, Deepthi Kamidi, Sudeepthi Govathoti, Ramalingaswamy Cheruku & A Mallikarjuna Reddy, “Efficient Diabetic Retinopathy Detection using Convolutional Neural Network and Data Augmentation” in Soft Computing (2023).
     [SCI]. https://doi.org/10.1007/s00500-023-08537-7

  9. Sonal Singh, Swastik Dashore, Jatin Prasad and Nenavath Srinivas Naik, “iCrop: a framework for identification of millet crop diseases via segmentation  and feature extraction” in Indian Phytopathology, vol. 76, pp. 803–812, July 2023. https://doi.org/10.1007/s42360-023-00660-7

  10. 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” in International Journal of Artificial Intelligence and Soft Computing, Vol. 8, No. 1, pp. 62-86, (2024). [DBLP]  http://dx.doi.org/10.1504/IJAISC.2023.137356

  11. Nenavath Srinivas Naik, Harshit Kumar Chaubey, “Weed detection and classification in sesame crops using region-based convolution neural networks” in Neural Computing and Applications, (2024) [SCI]
      https://doi.org/10.1007/s00521-024-10231-0

  12. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, “Quantum Leap in Cardiac Prognosis: EMIP-CardioPPG’s Pioneering Approach to Early Myocardial Infarction Prediction” accepted for publication in Signal, Image and Video Processing, (2024) [SCI] 

International Conferences

  1. Harshit Kumar Chaubey, Siri Arelli, Aryan Raj, Nenavath Srinivas Naik, “Coffee Leaf Disease and Severity Prediction Using Deep Learning” in IEEE Region 10 Conference (TENCON), pp. 617-622. 2023
      https://doi.org/10.1109/TENCON58879.2023.10322425

  2. Garika Akshay, Nenavath Srinivas Naik, Jai Vardhan, “Enhancing Hadoop Performance with Q-Learning for Optimal Parameter Tuning” in IEEE Region 10 Conference (TENCON), pp. 617-622, 2023.
    https://doi.org/10.1109/TENCON58879.2023.10322447

  3. Abhishek Shrivastava, Santosh Kumar, Nenavath Srinivas Naik, Tejasv Bhatt, “A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques” in 21st OITS International Conference on Information Technology (OCIT 2023), pp. 381-386, 2023. https://doi.org/10.1109/OCIT59427.2023.10430780

  4. 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”, in IEEE 20th India Council International Conference (INDICON), pp. 1216-1221, 2023. https://doi.org/10.1109/INDICON59947.2023.10440834

  5. 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. BITS-EEE-CON 2022. Lecture Notes in Networks and Systems, BITS Pilani, India, pp. 163-171,  July 2023. [SCOPUS]
    https://doi.org/10.1007/978-981-99-0483-9_15

  6. V. Mishra, Nenavath Srinivas Naik, S. Kumar, S. H. Alsamhi, A. Saif and E. Curry, “Maize Plant Disease Prediction of UAV Images for Precision Agriculture using Fusion of Multimodal,” 2023 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, pp. 353-358, October 2023, https://doi.org/10.1109/ICCIT58132.2023.10273966

  7. Devansh Mehta, Vishnu Prasad, Tarun Chitta, Nenavath Srinivas Naik, Amit Prakash, and Vashistha, “Mobilizing Digital Volunteers to Support Underserved Communities in India During COVID-19 Lockdown” in ACM Conference on Computing Systems and Sustainable Societies (ACM COMPASS 2022), Seattle, USA, pp. 180-194, June 2022. [SCOPUS]
    https://doi.org/10.1145/3530190.3534827

  8. Ankita Sharma, Anushtha Tamrakar, Sourajita Dewasi, Nenavath Srinivas Naik, “Early Prediction of Crop Yield in India using Machine Learning” in IEEE Region 10 Symposium (TENSYMP 2022), IIT Mumbai, India, pp. 1-6, July 2022. [DBLP] https://doi.org/10.1109/TENSYMP54529.2022.9864490

  9. Vishnu Prasad Verma, Nenavath Srinivas Naik, Santosh Kumar, “Reinforcement Learning based scheduling for Spark Jobs in Cloud Environment” in IEEE UPCON 2022, IIIT Allahabad, India, pp. 1-6, November 2022. [DBLP]           
    https://doi.org/10.1109/UPCON56432.2022.9986440

  10. Sonal Singh, Jatin Prasad, Shivangini Prasad, Nenavath Srinivas Naik, “Breast Cancer Prediction using Supervised Machine Learning Techniques” in IEEE 18th  India Council International Conference (INDICON 2021), IIT Guwahati, India, pp. 1-5, December 2021. [DBLP]
    https://doi.org/10.1109/INDICON52576.2021.9691609

  11. Bodicherla Digvijay Sri Sai, Ramisetty Nikhil, Payarda Santosh Babu, Nenavath Srinivas Naik, “Traffic Management using Computer Vision and SUMO” in IEEE 18th India Council International Conference (INDICON 2021), IIT Guwahati, India, pp. 1-6, December 2021. [DBLP]                               https://doi.org/10.1109/INDICON52576.2021.9691665

  12. Kavyansh Chourasia, Aishwarya Maurya, Akash Deep, Nenavath Srinivas Naik, “Emotional Analysis and Trends in Music Development” in IEEE 17th India Council International Conference (INDICON 2020), New Delhi, India, pp. 1-6, December 2020. [DBLP]
     https://doi.org/10.1109/INDICON49873.2020.9342281

  13. Sanchita Khare, Jai Kumar Dewani, Loveleen Amar, Nenavath Srinivas Naik, “Deep Analysis on Fisheries Classification” in IEEE 17th India Council International Conference (INDICON 2020), New Delhi, India, pp. 1-6, December 2020. [DBLP]
    https://doi.org/10.1109/INDICON49873.2020.9342219

  14. Rahul Medi, Shiva Saketh Karnekanti, Sanjeet Attili, Nenavath Srinivas Naik, “Early Detection of Forest Fire using Deep Learning” in TENCON 2020 - IEEE Region 10 Conference, Osaka, Japan, pp. 1136-1140, November 2020. [DBLP] https://doi.org/10.1109/TENCON50793.2020.9293722

  15. Divya Krishnani, Anjali Kumari, Akash Dewangan, Aditya Singh, Nenavath Srinivas Naik, “Prediction of Coronary Heart Disease using Supervised Machine Learning Algorithms” in TENCON 2019 - IEEE Region 10 Conference, Kochi, India, pp. 367-372, October 2019. [DBLP]      https://doi.org/10.1109/TENCON.2019.8929434

  16. D. Durga Bhavani, K. Rajeswari, Nenavath Srinivas Naik, “Big Data Analytics on Aadhar Card Dataset in Hadoop EcoSystem” in International conference on Artificial Intelligence and Cognitive computing (AICC), pages 459-466, MLR Institute of Technology, Hyderabad, India, November 2018. [SCOPUS], ISBN: 978-981-13-1580-0
     https://doi.org/10.1007/978-981-13-1580-0\_44

  17. Nimmala Satyanarayana, Ramadevi Yellasiri, Nenavath Srinivas Naik and Ramalingaswamy Cheruku, “Predicting High Blood Pressure using Decision Tree Based Algorithm” in International Conference on Latest Advances in Machine learning and Data Science (LAMDA - 2017), pages 53-60, Department of Computer Science & Engineering, National Institute of Technology Goa, Goa, India, January 2018. [SCOPUS], ISBN: 978-981-10-8569-7
    https://doi.org/10.1007/978-981-10-8569-7\_6}

  18. Nenavath Srinivas Naik, Atul Negi, “A Learning-based MapReduce Scheduler in Heterogeneous Environments” in 6th IEEE International Conference on Advances in Computing, Communications and Informatics (IEEE ICACCI), pages 2020--2025, Manipal University, Karnataka, India, September 2017. [DBLP] ISBN: 978-1-5090-6367-3
     http://dx.doi.org//10.1109/ICACCI.2017.8126142

  19. Gangala Ramya, Nenavath Srinivas Naik, “Implementation of Telugu Speech Synthesis System” in 6th IEEE International Conference on Advances in Computing, Communications and Informatics (IEEE ICACCI), pages 1151-1154, Manipal University, Karnataka, India, September 2017. [DBLP], ISBN: 978-1-5090-6367-3 http://dx.doi.org//10.1109/ICACCI.2017.8125997

  20. Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry,  “Enhancing Performance of MapReduce Framework in Heterogeneous Environments” in 21st IEEE International Conference on Advanced Computing and Communications (IEEE ADCOM), pages 51-54, IIT Madras, India, September 2015. ISBN: 978-1-4673-9777-3 http://dx.doi.org//10.1109/ADCOM.2015.16

  21. Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “Enhancing the Performance of MapReduce Default Scheduler by Detecting Prolonged TaskTrackers in Heterogeneous Environments” in 2nd International Conference on Computer and Communication Technologies (IC3T), pages 225-233, CMR Tech., Hyderabad, India, July 2015. [SCOPUS], ISBN: 978-81-322-2522-5       
    http://dx.doi.org/10.1007/978-81-322-2523-2\_21

  22. Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “Performance Improvement of MapReduce Framework by Identifying Slow TaskTrackers in Heterogeneous Hadoop Cluster” in 3rd International Conference on Advanced Computing, Networking, and Informatics (ICACNI), pages 465-473, KIIT, Bhubaneswar, India, June 2015. [SCOPUS], ISBN: 978-81-322-2528-7                 
    http://dx.doi.org/10.1007/978-81-322-2529-4\_49

  23. Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “Performance Improvement of MapReduce Framework in Heterogeneous Context using Reinforcement Learning” in 2nd International Symposium on Big Data and Cloud Computing Challenges (ISBCC), Procedia Computer Science, volume 50, pages 169-175, VIT Chennai, India, March 2015. [SCOPUS], ISBN: 978-1-5108-0599-6          http://dx.doi.org/10.1016/j.procs.2015.04.080

  24. Nenavath Srinivas Naik, Kethavath Prem Kumar, and D. Vasumathi, “Securing Information by Performing Forensic and Network Analysis on Hosted Virtualization” in IEEE International Conference on Computer and Communications Technologies (IEEE ICCCT)}, pages 1-7, Hyderabad, India, December 2014. ISBN: 978-1-4799-8150-2
      http://dx.doi.org/10.1109/ICCCT2.2014.7066717

  25. Nenavath Srinivas Naik, Atul Negi, and V. N. Sastry, “A Review of Adaptive Approaches to MapReduce Scheduling in Heterogeneous Environments” in 3rd IEEE International Conference on Advances in Computing, Communications and Informatics (IEEE ICACCI), pages 677-683, GCET, Noida, India, September 2014. [DBLP], ISBN: 978-1-4799-3078-4      http://dx.doi.org/10.1109/ICACCI.2014.6968497

  26. Kethavath Prem Kumar and Nenavath Srinivas Naik,   “Self-Healing Model for Software Application” in IEEE International Conference on Recent Advances and Innovations in Engineering (IEEE ICRAIE), pages 1-6, Jaipur, India, May 2014. ISBN: 978-1-4799-4040-0
     http://dx.doi.org/10.1109/ICRAIE.2014.6909207

Book Chapters

  1. Nenavath Srinivas Naik, Ramalingaswamy Cheruku, “Impact of COVID-19 Pandemic on Obese and Asthma Patients: A Systematic Review” in a book titled Intelligent Healthcare, pp. 271-287, July 2021. (Springer Publication) https://doi.org/10.1007/978-3-030-67051-1\_17

  2. Jyotsana Verma, Bonda Likitha, Nakka Jyothsna, Nenavath Srinivas Naik, “Prediction of Breast Cancer analysis using Machine Learning algorithms and XGBoost technique” in a book titled Data Science and Computational Intelligence, pp 298-313, October 2021. (Springer Publication) https://doi.org/10.1007/978-3-030-91244-4\_24

  3. Jannaikode Yashwanth Kumar and Nenavath Srinivas Naik, “COVID-19 Risk Management: A Mobile Application to Notify Alerts and Provide real-time COVID-19 Updates” in a book titled Innovative Data Communication Technologies and Application, pp 507-518, February 2021. (Springer Publication)       https://doi.org/10.1007/978-981-15-9651-3\_42

  4. Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik, “Stroke Prediction using Machine Learning in a Distributed Environment” in a book titled Distributed Computing and Internet Technology, pp. 238-252, December 2020. (Springer Publication) 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.

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