Current Research

Sensor designing 

Designing innovative machine learning techniques

Developing techniques for non-invasive disease detection

Awards

No Awards Details Found.

Grants/ Fund

IoT Based Health Monitoring System for Covid-19 Patients in Quarantine, Funded by Foundation for Advancement of Education and Research (FAER), Bengaluru, in the year 2022.

Research Supervision

No Grants Details Found.

National Patents:

No National Patents Found.

International Patents:

No International Patents Found.

International Journals:

No. of International Journals Publications:10

§  Navaneeth, B. and Suchetha, M., 2019. PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications. Computers in biology and medicine, 108, pp.85-92. DOI: 10.1016/j.compbiomed.2019.03.017, Elsevier Publications (SCI Journal with Impact Factor: 6.698).

§  Navaneeth, B. and Suchetha, M., 2020. A dynamic pooling based convolutional neural network approach to detect chronic kidney disease. Biomedical Signal Processing and Control, 62, p.102068. DOI: 10.1016/j.bspc.2020.102068, Elsevier Publications (SCI Journal with Impact Factor: 5.076). 

§  Navaneeth Bhaskar, 2023. Automated Detection of Diabetes from Exhaled Human Breath using Deep Hybrid Architecture. IEEE Access, 11, p. 51712 - 51722. DOI: 10.1109/ACCESS.2023.3278278, IEEE Publications (SCI Journal with Impact Factor: 3.476). 

§  Navaneeth, B., Suchetha, M. and Philip, N.Y., (2020). Time series classification based correlational neural network with bidirectional LSTM for automated detection of kidney disease. IEEE Sensors Journal, IEEE Publications (SCI Journal with Impact Factor: 4.325).

§  Navaneeth, B. and Suchetha, M., 2020. A computationally efficient correlational neural network for automated prediction of chronic kidney disease. IRBM. (In Press) DOI: 10.1016/j.irbm.2020.07.002, Elsevier Publications (SCI Journal with Impact Factor: 5.5).

§  Navaneeth, B. and Suchetha, M., 2020. Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease. International Journal of Medical Engineering and Informatics, 12(2), pp.95-107. DOI: 10.1504/IJMEI.2020.106896, Inderscience Publications (Scopus Indexed).

§  Navaneeth, B. and Suchetha, M., 2019. A Deep-Learning-Based System for Automated Sensing of Chronic Kidney Disease. IEEE Sensors Letters, 3(10), pp.1-4. DOI: 10.1109/LSENS.2019.2942145, IEEE Publications (Scopus Indexed).

§  Navaneeth, B. and Suchetha, M., 2019, July. An Approach for Analysis and Prediction of CKD using Deep Learning Architecture. In 2019 International Conference on Communication and Electronics Systems (ICCES) (pp. 1660-1664). IEEE. DOI: 10.1109/ICCES45898.2019.9002214 (Scopus Indexed).

National Journals:

No. of National Journals Publications:10

§  Navaneeth, B. and Suchetha, M., 2019. PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications. Computers in biology and medicine, 108, pp.85-92. DOI: 10.1016/j.compbiomed.2019.03.017, Elsevier Publications (SCI Journal with Impact Factor: 6.698).

§  Navaneeth, B. and Suchetha, M., 2020. A dynamic pooling based convolutional neural network approach to detect chronic kidney disease. Biomedical Signal Processing and Control, 62, p.102068. DOI: 10.1016/j.bspc.2020.102068, Elsevier Publications (SCI Journal with Impact Factor: 5.076). 

§  Navaneeth Bhaskar, 2023. Automated Detection of Diabetes from Exhaled Human Breath using Deep Hybrid Architecture. IEEE Access, 11, p. 51712 - 51722. DOI: 10.1109/ACCESS.2023.3278278, IEEE Publications (SCI Journal with Impact Factor: 3.476). 

§  Navaneeth, B., Suchetha, M. and Philip, N.Y., (2020). Time series classification based correlational neural network with bidirectional LSTM for automated detection of kidney disease. IEEE Sensors Journal, IEEE Publications (SCI Journal with Impact Factor: 4.325).

§  Navaneeth, B. and Suchetha, M., 2020. A computationally efficient correlational neural network for automated prediction of chronic kidney disease. IRBM. (In Press) DOI: 10.1016/j.irbm.2020.07.002, Elsevier Publications (SCI Journal with Impact Factor: 5.5).

§  Navaneeth, B. and Suchetha, M., 2020. Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease. International Journal of Medical Engineering and Informatics, 12(2), pp.95-107. DOI: 10.1504/IJMEI.2020.106896, Inderscience Publications (Scopus Indexed).

§  Navaneeth, B. and Suchetha, M., 2019. A Deep-Learning-Based System for Automated Sensing of Chronic Kidney Disease. IEEE Sensors Letters, 3(10), pp.1-4. DOI: 10.1109/LSENS.2019.2942145, IEEE Publications (Scopus Indexed).

§  Navaneeth, B. and Suchetha, M., 2019, July. An Approach for Analysis and Prediction of CKD using Deep Learning Architecture. In 2019 International Conference on Communication and Electronics Systems (ICCES) (pp. 1660-1664). IEEE. DOI: 10.1109/ICCES45898.2019.9002214 (Scopus Indexed).

Books

No Books Found.

International Conferences:

No. of International Journals Conferences:1

Navaneeth, B. and Suchetha, M., 2019, July. An Approach for Analysis and Prediction of CKD using Deep Learning Architecture. In 2019 International Conference on Communication and Electronics Systems (ICCES) (pp. 1660-1664). IEEE. DOI: 10.1109/ICCES45898.2019.9002214 (Scopus Indexed).

No National Conferences Found.

Workshop / Seminars

• Participated in the Tenth International Conference on Transformations in Engineering Education conducted by Vidyavardhaka College of Engineering, Mysuru in association with Indo Universal Collaboration for Engineering Education (IUCEE) from January 5 to 8, 2023.
• Participated in IEEE Sponsored six days FDP on “Awareness of Electronic Tools for System Design” at Sairam Institute of Technology, Chennai from 19 to 24  December 2022.
• Attended a two days online workshop on “Deep Learning Models” at MIT Academy of Engineering, Pune from October 15–16, 2022.
• Attended the AICTE Training and Learning (ATAL) Academy Online Elementary FDP on “Artificial Intelligence & Machine Learning" from 25-29 October 2021 at University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya.
• Participated in four days’ workshop on “Embedded System Design” conducted by IISc Bengaluru, at Coorg Institute of Technology, Ponnampet from 30 November 2021 to 3 December 2021.
• Attended a three days MathWorks sponsored Faculty empowerment program on the topic “MatLab Signal/ Image Processing, LTE, Things Speak (IoT), Data Acquisition and MDCS” at Mepco Schlenk Engineering college, Sivakasi from June 21–23, 2017.
• Attended a Faculty development program on the topic “Signal, Image and Video processing using advanced DSP processors” at VIT University on October 7, 2017.
• Participated in two-days value added program with hands-on in “Signal and image processing: practice to research” conducted by the School of Electronics Engineering, VIT Chennai on August 6-7 2016.
• Participated in the 4th IEEE International Conference on Communication and Electronics Systems (ICCES 2019) held at PPG Institute of Technology, Coimbatore during 17-19 July 2019.
• Participated in the workshop “Authoring tools for scientific research writing” organized by the School of Electronics Engineering, VIT Chennai on September 10 2016.
• Carried out a project on I/O data acquisition system based on embedded ARM processor at Knowx Innovations (P) Ltd. during September 2009 to July 2010.
• Participated in the 1st National Conference on Technological Advancement in Engineering Aspects, conducted by Sree Narayana Guru College of Engineering and Technology, Kannur, on March 27-28, 2015.
• Participated in the one day IEEE colloquium on Optical fibers and applications conducted at Malnad College of engineering, on October 2009.  
• Attended a One Day International Faculty Development Program on “Role on Electromagnetics in Aerospace Applications using Altair Feko”, held on 30th May 2020, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences in collaboration with IET & Altair Feko.
• Participated in the four days Faculty Development Program on “Recent trendy antenna design and analysis using EM solver”, organized by the institution of Engineers, Tirunelveli during 26-29 May 2019.
• Participated in the one day IEEE colloquium on Optical fibers and applications conducted at Malnad College of engineering, on October 2009.

Projects and Exhibitions

No Projects and Exhibitions Details Found.

Other Activities

• Serving as the Academic coordinator of Department of Computer Science and Engineering (Data Science).
• Served as the Training and Placement Officer of Coorg Institute of Technology, Ponnampet, Karnataka.
• Served as the Coordinator of R&D and Consultancy Cell at Coorg Institute of Technology, Ponnampet, Karnataka.
• Worked as Robotics Lab Coordinator at Coorg Institute of Technology, Ponnampet, Karnataka.
• Worked as Research Associative at Vellore Institute of Technology, Chennai, India.
• Worked as organizing member for World Engineering Education Forum (WEEF), the joint annual summit of the International Federation of Engineering Education Societies held at Hotel ITC Grand Chola, Chennai from November 13-16th, 2019.
• Worked as NSS coordinator and Resident Warden at BIT, Mangalore.
• Worked as Program Coordinator for National Level Technical Paper Presentation and Technical fest, VCET, Puttur.
• Served as the Conference Chair for National Conference on Technological Advancement in Engineering Aspects (NaCTAE'15) at Sree Narayana Guru College of Engineering and Technology, Kannur, Kerala.
• Worked as Program Coordinator for International Conference on Nextgen Electronic Technologies: Silicon to Software ICNETS2 2017 at Vellore Institute of Technology, Chennai, India.