Dr. N. Srinivas Naik
Assistant
Professor (Grade-I), IEEE Senior Member,
Department of
Computer Science and Engineering,
IIITDM Kurnool.
Education Qualifications:
·
Ph.D. in Computer Science from the School of Computer and
Information Sciences, University of Hyderabad (Hyderabad Central University),
India.
·
M. Tech 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/Specialization:
·
Big Data
·
Cloud Computing
·
Deep Learning
·
Machine Learning
·
Image Processing
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.
Publication Profiles:
· 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: AAQ-8026-2021
Funded Projects:
1. 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.
2. 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: Multi-Signal Cyber Defense, Funded by SECQAI Ltd.,
London, Duration: 1 year, Budget: 5 Lakhs, Role: Principal
Coordinator, Status: Ongoing.
· 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.
· Organized a National Level Workshop on Block
Chain Technology as Coordinator, funded by DST (under ICPS
programme) with the financial support of
Rs.7 Lakhs.
· 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.
· 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)
Important Research Publications:
International Journals:
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/
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/
International Conferences:
1. 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. L
2.
3. 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
4. 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
5.
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
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
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
13.
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}
14.
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
15.
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
16.
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
17.
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
18.
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
19.
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
20.
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
21.
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
22.
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:
1.
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.
2.
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.
3. 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
Contact:
Email: srinu (at) iiitk (dot) ac (dot) in
Office:
Accolades:
1. Received
Rajiv Gandhi National Fellowship (RGNF) from University Grants Commission (UGC)
during Ph.D. for five years.
2. Qualified
APSET (Andhra Pradesh State Eligibility Test) in Computer Science &
Applications in 2012.
3.
Received the Travel Grant Awards to present a poster in
29th IEEE IPDPS 2015 and 23rd IEEE HIPC 2016 at HICC,
Hyderabad, India.