Dr. Narendra Babu Chindanur

1. Area of Interest: Data analytics, Data Modelling and analysis, Big Data, Social media analytics, Machine Leaning, Artificial Intelligence, web scraping, Statistical Approaches, Graph Signal Processing, Blockchain, Spatiotemporal data modelling; Application Domains: Smart Agriculture - Aquaponics using IoT, Healthcare, Sensor data modelling, Road traffic and Internet traffic data modelling, Innovations in education
2. Expertise: Data Mining and analytics, Time series data modelling and analysis, Social media analytics, Machine learning, Sustainable aquaponics using IoT, Spatiotemporal Data modelling and analysis

1. Book: "New Age Realities: Beyond East and West", Publisher: Manasa Foundation, Bangalore, ISBN 9788188161447.
2. Book chapter: Santoshi Kumari, C. Narendra Babu, 2018, “Transition from Relational Database to Big Data and Analytics", Book Data Analytics Concepts, Techniques, and Applications, Pages 33, Publisher-Taylor & Francis Group

• Listed in AD scientific index 2021- World Scientist and University Rankings 2021 https://www.adscientificindex.com/scientist.php?id=299003
• One of the office barer (treasurer) for IEEE Education Society Bangalore chapter which won chapter achievement award for 2021. https://ieee-edusociety.org/awards/chapter-achievement-award
• Received best paper award for Roopesh, Narendra Babu, "Robotic Process Automation for Resume Processing", accepted for “2021 6th IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2021)".
• Received best paper award for “Document Parsing Tool for Language Translation and Web Crawling Using Django REST Framework”, in 1st International Conference on Engineering and Technology (ICoEngTech)- 2021, held at Universiti Malaysia Perlis.
• Received Annual Exemplary Award in the research category at MS Ramaiah University of Applied Sciences in 2020
• Received Best Author award at IEEE- International Conference On Advances In Engineering, Science And Management (ICAESM -2012) held at Nagapattinam, TN for the paper: “Predictive Data Mining On Average Global Temperature Using Variants of ARIMA models”

International Peer-reviewed Journals (Total 26)

1. P. Sure, C. P. Srinivasan and C. Narendra Babu, "Spatio-Temporal Constraint-Based Low Rank Matrix Completion Approaches for Road Traffic Networks," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3124613. (SCI, impact factor 7.42)
2. Narendra Babu C, Pallaviram Sure, and Chandra Mohan Bhuma “Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation", IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.2971031 (SCI, impact factor 7.42)
3. Yenkikar, Anuradha and Narendra Babu C, ‘AirBERT: A Fine-tuned Language Representation Model for Airlines Tweet Sentiment Analysis’, IOS Press- Intelligent Decision Technologies, Pre-press 2nd Dec. 2022: 1 – 17. Doi: 10.3233/IDT-220173
4. Anuradha Yenkikar, C. Narendra Babu, Hemanth DJ. 2022. SENTINET: A Deep Sentiment Analysis Network for Political Media Bias Detection. DYNA, 97(6). 645-651. DOI: https://doi.org/10.6036/10593
5. Yenkikar A, C. Naredra Babu, Hemanth DJ. 2022. Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble. PeerJ Computer Science 8:e1100 https://doi.org/10.7717/peerj-cs.1100
6. Bikram Paul, Kavya B, Prachi Tripathi, Shubham Agnihotri, C. Narendra Babu, “Sustainable smart aquaponics farming using IOT and data analytics", Journal of Information Technology Research (JITR), vol.15, no.1 2022: pp.1-27. http://doi.org/10.4018/JITR.299914
7. Patnaik, S.K. and Narendra Babu, C., 2022. Building Self-Healing Feature Based on Faster R-CNN Deep Learning Technique in Web Data Extraction Systems. Journal of Information & Knowledge Management, p.2250029.
8. Sudhir Kumar Patnaik and C. Narendra Babu, “A Web Information Extraction Framework with Adaptive and Failure Prediction Feature”, ACM-Journal of Data and Information Quality 14, 2, Article 12 (June 2022), 21 pages. DOI: https://doi.org/10.1145/3495008
9. Soumya Jyothi Raychaudhuri, C. Narendra Babu, “On the Domain Aided Performance Boosting Technique for Deep Predictive Networks: A COVID-19 Scenario”, 16(1), 2022, P 111 – 125.
10. Soumya Jyoti Raychaudhuri, Soumya Manjunath, Chithra Priya Srinivasan, N. Swathi, S. Sushma, Nitin Bhushan K. N. & C. Narendra Babu (2021): Impulsive Behavior Detection System Using Machine Learning and IoT, IETE Journal of Research, DOI: 10.1080/03772063.2021.1994035 https://www.tandfonline.com/doi/full/10.1080/03772063.2021.1994035
11. S. K. Patnaik and C. Narendra Babu, “Trends in Web Data Extraction using Machine Learning, State-of-the-art-review”, IoS Press: Web Intelligence Journal, Vol. 19, No.3, 2021
12. S. K. Patnaik, C. Narendra Babu and M. Bhave, "Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks," IEEE - Big Data Mining and Analytics, vol. 4, no. 4, pp. 279-297, Dec. 2021, doi: 10.26599/BDMA.2021.9020012
13. Osman Yakubu, C. Narendra Babu, “Electricity consumption Forecasting using DFT decomposition based hybrid ARIMA–DLSTM model”, Indonesian Journal of Electrical Engineering and Computer Science, Vol-24, No 2, http://ijeecs.iaescore.com/index.php/IJEECS/article/view/25459
14. Osman Yakubu, C.Narendra Babu, and Osei Adjei, C. “A Novel IoT Based Smart Energy Meter with Backup Battery”, International Journal of Computing, 20(3), 357-364, 2021, https://doi.org/10.47839/ijc.20.3.2281
15. Raychaudhuri, S.J., Manjunath, S., Srinivasan, C.P. N. Swathi, S. Sushma, K. N. Nitin Bhushan & C. Narendra Babu, “Prescriptive analytics for impulsive behaviour prevention using real-time biometrics”, Springer – Progress in Artificial Intelligence, 10, 99–112 (2021). https://doi.org/10.1007/s13748-020-00229-9
16. Osman Yakubu, Narendra Babu and Osei Adjei, “Electricity Theft: Analysis of the Underlying Contributory Factors in Ghana”, Elsevier- Energy Policy, 123, pp. 611-618, 2018, DoI: https://doi.org/10.1016/j.enpol.2018.09.019 (SCI, impact factor 5.3)
17. Narendra Babu and Pallaviram Sure, "Low-Dimensional Models for Traffic Data Processing Using Graph Fourier Transform", IEEE Computing in Science & Engineering, 20(2), pp.24-37, 2018. (SCIE, impact factor 1.9)
18. Pallaviram Sure, Narendra Babu C and Chandra Mohan Bhuma "Large random matrix-based channel estimation for massive MIMO-OFDM uplink", IET Communications, 12(9), pp.1035-1041, 2018. (SCI, impact factor 2.1)
19. Narendra Babu C, Pallaviram Sure, “Partitioning and interpolation based hybrid ARIMA-ANN model for time series forecasting”, published online Springer: Sadhana. Academy Proceedings in Engineering Sciences, June 2016. (SCIE, impact factor 1.0)
20. Osman Yakubu, Osei Adjei and Narendra Babu C., “A Review of Prospects and Challenges of Internet of Things”, International Journal of Computer Applications 139(10):33-39, April 2016. Published by Foundation of Computer Science (FCS), NY, USA
21. C. Narendra Babu, B. Eswara Reddy, “Prediction of selected Indian stock using a partitioning-interpolation based ARIMA-GARCH model”, Applied Computing and Informatics, Volume 11, Issue 2, July 2015, Pages 130-143, ISSN 2210-8327, (SCIE, Impact Factor: 4.4)
22. C. Narendra Babu, B. Eswara Reddy, “Performance Comparison of Four New ARIMA-ANN Prediction Models on Internet Traffic Data” , Journal of Telecommunication and Information Technology. Vol 1, 2015, Pages: 67-75
23. C. Narendra Babu, B. Eswara Reddy, “A moving-average filter based hybrid ARIMA-ANN model for forecasting time series data”, Elsevier: Applied Soft Computing, Vol. 23, October 2014, Pages 27-38. http://dx.doi.org/10.1016/j.asoc.2014.05.028 (SCI, impact factor 6.03)
24. Osman Yakubu, Narendra Babu C, “A Review of Digital Forensic Challenges in the Internet of Things (IOT), International J. of Mechanical Engineering and Technology, 9(1), pp. 915-923, 2018.
25. Osman Yakubu, Narendra Babu, C, “Type and Nature of Electricity Theft: A Case Study of Ghana”, International J. of Mechanical Engineering and Technology, 8(10), pp. 170-179, 2017.
26. Anuradha Yenkikar, Manish Bali, Narendra Babu, “EMP-SA: Ensemble Model based Market Prediction using Sentiment Analysis”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-2, July 2019

Publications: Proceedings of Conferences (Total 18)

1. Kruthika Alnavar, C. Narendra Babu, "Blockchain-based Smart Contract with Machine Learning for Insurance Claim Verification," 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 2021, pp. 247-252, doi: 10.1109/ICEECCOT52851.2021.9707964 Published in IEEE Explore
2. N. Roopesh and C. Narendra Babu, "Robotic Process Automation for Resume Processing System," 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), 2021, pp. 180-184, doi: 10.1109/RTEICT52294.2021.9573595. Published in IEEEexplore. (Won best paper award)
3. S. K. Patnaik and C. Narendra Babu, "Information Retrieval from web with Faster R-CNN Deep Learning Networks: A New Perspective," 2021 6th International Conference on Computer Science and Engineering (UBMK), 2021, pp. 61-66, doi: 10.1109/UBMK52708.2021.9558956. Published in IEEE explore.
4. Kruthika Alnavar; Uday Kumar R; Narendra Babu C, “Document Parsing Tool for Language Translation and Web Crawling Using Django REST Framework”, Journal of Physics: Conference Series, Volume 1962, The 1st International Conference on Engineering and Technology (ICoEngTech) 2021 15-16 March 2021, Perlis, Malaysia; Citation: Kruthika Alnavar et al 2021 J. Phys.: Conf. Ser. 1962 012018
5. Roopesh. N, Akarsh M. S and C. Narendra Babu, "An Optimal Data Entry Method, Using Web Scraping and Text Recognition," 2021 International Conference on Information Technology (ICIT), 2021, pp. 92-97, doi: 10.1109/ICIT52682.2021.9491643. Published in IEEE Explore
6. R. Puravankara and C. Narendra Babu, "Lead Forecasting using LSTM based Deep Learning Architecture for Sentiment Analysis," 2020 3rd International Conference on Information and Communications Technology (ICOIACT), Yogyakarta, Indonesia, 2020, pp. 159-164, doi: 10.1109/ICOIACT50329.2020.9332092, published in IEEE Explore.
7. A. Anand, S. De, A. Jaiswal, S. Agrawal and C. Narendra Babu, "Automation of Non-Classroom Courses using Machine Learning Techniques," 2020 6th International Conference on Education and Technology (ICET), Malang, 2020, pp. 90-96, doi: 10.1109/ICET51153.2020.9276619, published in IEEE Explore.
8. Rexford Nii Ayitey Sosu, C. Narendra Babu, S. A. Frimpong and J. Essuman, "The Relevance Of Blockchain With Dew Computing: A Review," 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia, 2020, pp. 1934-1940, doi: 10.23919/MIPRO48935.2020.9245189, published in IEEE Explore.
9. Anuradha Yenkikar, Narendra Babu and S. Sangve, "R-SA: A Rule-based Expert System for Sentiment Analysis," 2019 IEEE Pune Section International Conference (PuneCon), Pune, India, 2019, pp. 1-7, doi: 10.1109/PuneCon46936.2019.9105682, published in IEEE Explore.
10. Anuradha Yenkikar, Narendra Babu, S. Sangve and M. Bali, "OACD-SA: Online Aspect Category Detection for Sentiment Analysis using Unsupervised Learning," 2019 IEEE Pune Section International Conference (PuneCon), Pune, India, 2019, pp. 1-7, Published in IEEE Explore, doi: 10.1109/PuneCon46936.2019.9105858, published in IEEE Explore.
11. Prema Monish, Santoshi Kumari, Narendra Babu, “Automated Topic Modeling and Sentiment Analysis of Tweets on SparkR”, 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Bangalore, 2018, pp. 1-7. doi: 10.1109/ICCCNT.2018.8493973, , published in IEEE Explore.
12. A. Haripriya, S. Kumari and C. N. Babu, "Location Based Real-time Sentiment Analysis of Top Trending Event Using Hybrid Approach," 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, 2018, pp. 1052-1057, doi: 10.1109/ICACCI.2018.8554457, published in IEEE Explore.
13. Santoshi Kumari, Narendra Babu, "Real time analysis of social media data to understand people emotions towards national parties," "Real time analysis of social media data to understand people emotions towards national parties," 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi, 2017, pp. 1-6, doi: 10.1109/ICCCNT.2017.8204059, published in IEEE Explore.
14. Pallaviram Sure, Narendra Babu C and Chandra Mohan Bhuma, "Applicability of big data analytics to massive MIMO systems," 2016 IEEE Annual India Conference (INDICON), Bangalore, 2016, pp. 1-6. doi: 10.1109/INDICON.2016.783909, published in IEEE Explore.
15. Nivedita Pandith, Narendra Babu, "Development of pso based hybrid lssvm model for time series prediction," 2017 2nd International Conference for Convergence in Technology (I2CT), Mumbai, 2017, pp. 376-381, doi: 10.1109/I2CT.2017.8226155, published in IEEE Explore.
16. D. C. Aishwarya, Narendra Babu, "Prediction of Time Series Data Using GA-BPNN Based Hybrid ANN Model," 2017 IEEE 7th International Advance Computing Conference (IACC), Hyderabad, 2017, pp. 848-853. Published in IEEE Explore, doi: 10.1109/IACC.2017.0174, published in IEEE Explore.
17. C. Narendra Babu, B. Eswara Reddy, "Selected Indian stock predictions using a hybrid ARIMA-GARCH model," 2014 International Conference on Advances in Electronics Computers and Communications, Bangalore, 2014, pp. 1-6, doi: 10.1109/ICAECC.2014.7002382, published in IEEE Explore.
18. C. Narendra Babu, B. Eswara Reddy, “Predictive Data Mining On Average Global Temperature Using Variants of ARIMA models”, IEEE-International Conference on Advances in Engineering, Science & Management (ICAESM -2012), Pages 256-260, Issue date: March 30-31, 2012. Published in IEEE Explore (WON BEST AUTHOR AWARD)

1. IEEE
2. IEEE Education Society ( Treasurer – IEEE Education society Bangalore chapter)

1. Sudhir Kumar Patnaik, C. Narendra Babu, “A Novel Adaptive Information Extraction System using Deep learning Technique and Neural Networks”, Indian Patent Application: 202041055908, Filing date: 22th Dec, 2020.
2. C. Narendra Babu, Soumya Jyoti Raychaudhuri, Soumya Manjunath, Chithra Priya Srinivasan, N.Swathi, S. Sushma,K. N. Nitin Bhushan, “Smart Wearable Emotion Support System”, Indian Patent Application: 202041055905, Filing date: 22th Dec, 2020.
3. Anuradha Yenkikar and C. Narendra Babu, “A Rule-based expert system for Sentiment Analysis (R-SA)”, Indian Patent Application: 201921028076, 12Th July 2019, published Date: 16/08/2019.