Dr Dayakshini

About

I am an Academician with over 25 years of teaching/research experience and an active researcher in Biomedical Engineering. Passionate about nurturing young minds, I strive to provide students with a strong academic foundation while encouraging self-learning and lifelong learning. I am equally committed to mentoring students for successful placements and higher education opportunities at premier institutions.

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Education Qualifications

Sl.No	Qualification Level	University	Area of Specialization	Year of completion	Awards
1	Ph.D	Manipal Academy of Higher Education (MAHE) Manipal	Biomedical Image Processing	2018
2	MTech	Visvesvaraya Technological University, Belagavi	Digital Electronics and Communication Systems	2009
3	BE	Mangalore University	Electronics and Communication Engineering	1998

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Responsibilities At SJEC

·       Present major responsibilities at SJEC

•         Head of the Department

•         BOS Chairperson ECE, SJEC, Mangaluru

•         BOE Chairperson ECE, SJEC, Mangaluru     

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Work Experience

Sl.No.	Period	Institution	Designation
1	October 2020 – till date	SJEC, Mangaluru	Professor & HOD
2	Nov 2017– October 2020	SJEC, Mangaluru	Associate Professor
3	Jan 2017 – Nov 2017	SJEC, Mangaluru	Assistant Professor
4	Jan 2014 – Jan 2017	MIT, Manipal	Research Scholar
5	May 2010 – Jan 2014	SJEC, Mangaluru	Assistant Professor
6	August 2007 – May 2010	SJEC, Mangaluru	Senior Lecturer
7	Sept 2004 – July 2007	SJEC, Mangaluru	Lecturer

 

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Research Areas

Research Areas: 

• Digital Image/ Signal Processing
• Biomedical Engineering
• Machine/Deep learning
• Digital Communications 

 Ph.D Guidance: 7 students (2 completed)

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Journal Publications

1. Jayalakshmi K. P., Vishnu J. Nair, Dayakshini Sathish. MRSimEx-DSTC: A Dynamic Spanning Tree Coverage Approach for Multi-Robot Exploration and Coverage Path Planning. IEEE Access, 13:163085–163102, 2025. DOI: 10.1109/ACCESS.2025.3610079.
2. Jayalakshmi K. P., Vishnu J. Nair, Dayakshini Sathish. Dynamic Spanning Tree Coverage with Q-Learning: A Hybrid Framework for Efficient Robot Navigation in Environments with Moving Obstacles. IEEE Access, 13:149121–149141, 2025. DOI: 10.1109/ACCESS.2025.3602149.
3. Jayalakshmi K. P., Vishnu J. Nair, Dayakshini Sathish. Adaptive Spanning Tree-Based Coverage Path Planning for Autonomous Mobile Robots in Dynamic Environments. IEEE Access, 13:102931–102950, 2025. DOI: 10.1109/ACCESS.2025.3578338.
4. Jayalakshmi K. P., Vishnu J. Nair, Dayakshini Sathish. A Comprehensive Survey on Coverage Path Planning for Mobile Robots in Dynamic Environments. IEEE Access, 13:60158–60185, 2025. DOI: 10.1109/ACCESS.2025.3556446.
5. Jennifer C. Saldanha, Malini Suvarna, Dayakshini Sathish, Cynthia Santhmayor, Rohan Pinto. Spectral descriptors for the assessment of vocal fold nodules and feature optimisation using MRMR algorithm. International Journal of Intelligent Systems Technologies and Applications, 23(3), 2025. DOI: 10.1504/IJISTA.2025.148888.
6. Kiran V. Shanbhag, Dayakshini Sathish. Subcarrier Filtering for Spectrally Efficient Multicarrier Modulation Schemes and Its Impact on PAPR: A Unified Approach. International Journal of Electronics and Telecommunications, 69(4):785–791, 2023.
7. Kiran V. Shanbhag, Dayakshini Sathish. Low complexity physical layer security approach for 5G internet of things. International Journal of Electrical and Computer Engineering, 13(6):6466–6475, 2023.
8. Jennifer C. Saldanha, M. Suvarna, Dayakshini Sathish, C. S. Jitter as a quantitative indicator of dysphonia in Parkinson's disease. International Journal of Intelligent Systems Technologies and Applications, 21(1), 2023.
9. Kavitha Govarthanan, Piyush Kumar Gupta, Bamadeb Patra, Deepa Ramasamy, Binita Zipporah, Vineeta Sharma, Rajesh Yadav, Pavitra Kumar, Dayakshini Sathish, Rama Shanker Verma. Genome wide methylome pattern predictive network analysis reveal mesenchymal stem cell's propensity to undergo cardiovascular lineage. 3Biotech, 12, 2022. https://doi.org/10.1007/s13205-021-03058-2.
10. Joyline Teena Lasrado, Dayakshini Sathish. Enhancement of Underwater Images using Homomorphic Filtering and CLAHE Technique. Journal of Innovation in Information Technology, 4(1):34–39, 2020.
11. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal Kadavigere. Role of Normalization of Breast Thermogram Images and Automatic Classification of Breast Cancer. The Visual Computer (Springer), 35(1):57–70, 2019.
12. Dayakshini Sathish, Surekha Kamath. Detection of Breast Thermograms using Ensemble Classifiers. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3-2):35–39, 2018.
13. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal Kadavigere, Roshan Joy Martis. Asymmetry Analysis of Breast Thermograms using Automated Segmentation and Texture Features. Signal, Image and Video Processing (Springer), 11(4):745–752, 2017.
14. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal Kadavigere. Texture Analysis of Breast Thermograms using Neighbourhood Gray Tone Difference Matrix. International Journal of Bioinformatics Research and Applications (Inderscience), 14(1/2):104–118, 2018.
15. Dayakshini Sathish, Surekha Kamath, Rajagopal K. V., Keerthana Prasad. Medical imaging techniques and computer aided diagnostic approaches for the detection of breast cancer with an emphasis on thermography – A review. International Journal of Medical Engineering and Informatics (Inderscience), 8(3):275–299, 2016.
16. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal K. V. Segmentation of Breast Thermogram Images for the Detection of Breast Cancer – A Projection Profile Approach. Journal of Image and Graphics, 3(1):47–51, 2015.
17. J. C. Saldanha, M. Suvarna, Dayakshini Sathish, C. S. Spectral Centroid for the Analysis of Pathological Voice in Vocal Fold Nodules. International Journal of Intelligent Systems Technologies and Applications, (Accepted).
18. Dayakshini Sathish, Nandini M., Eden Rose Fernandes, Fathima Sana, Jasel Manisha D’souza, Pavana K. Robot Operating System Based Autonomous Navigation. International Journal of Emerging Technology and Advanced Engineering, 8(7):159–167, 2018.
19. Dayakshini Sathish, Deeksha D., Kavyashri, Kirthi S., Likitha. Automated Door Access Control System based on Local Binary Pattern Histogram. International Journal of Emerging Technology and Advanced Engineering, 8(7):117–122, 2018.

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Conference Proceedings

1. Sandeep Prabhu, Shreshta Rai, Vidya S. Rao, Dayakshini Sathish, Pavan Bhat. KNN Correction Model Based on Classified Pressures for Plantar Pressure Control. In: International Conference on Recent Trends in Engineering and Technology (ICRTET – 2025), Academic Partner, 2025.
2. Jayalakshmi K. P., Vishnu J. Nair, Dayakshini Sathish. Dynamic Coverage Path Planning for Mobile Robots: A Spanning Tree Based Approach with Real-Time Obstacle Avoidance. APCI, IEEE, 2025.
3. Keith Raymond Fernandes, Dayakshini Sathish, Shreyas S., Varun Kamath, Sinchana Rai, Sanjana. Implementation of RSA Algorithm using FPGA and Analysis of Post-Quantum Cryptography. Accepted in IEEE Proceedings, 2025.
4. Dayakshini Sathish, Aswathi T., Ashlyn Barnes, Sona S., Preetika, Avasya H. S. Comparative Analysis of Snake and Ellipse Segmentation Methods for Breast Cancer Detection Using Breast Thermograms. In: First International Conference on Computer, Computation and Communication (IC3C-2025), River Publishers, 2025.
5. Dayakshini Sathish, Sathish Kabekody. Volumetric Analysis of Choroid Plexus for the Early Detection of Alzheimer's Disease. Proceedings of the 2024 13th International Conference on Software and Computer Applications, ACM 2024. https://api.semanticscholar.org/CorpusID:270166808
6. Dayakshini Sathish, Souhardha S. Poojary, Samarth Shetty, Preethesh H. Acharya, Sathish Kabekody. Non-invasive Diabetes Detection System Using Photoplethysmogram Signals. In: Lecture Notes in Networks and Systems, vol. 796, Springer, 2023. https://doi.org/10.1007/978-981-99-6906-7_39.
7. Dayakshini Sathish, Sathish Kabekody, Reshma K. J. Early Detection of Brain Tumour in MRI Images using Open by Reconstruction and Convolution Neural Networks. In: ICEEICT, IEEE, 2023. doi: 10.1109/ICEEICT56924.2023.10157830.
8. Roopashree, M. Suvarna, Dayakshini Sathish. Categorization and Classification of Acute & Chronic Leukaemia using VGG-16 DCNN. In: ICECCT, IEEE, 2023. doi: 10.1109/ICECCT56650.2023.10179851.
9. Dayakshini Sathish. Analysis of CT Images for the Detection of Lung Cancer using Deep Learning – Implementation Challenges — A Review. International Conference on Medical Imaging Science and Technology, 1–3 Dec 2021.
10. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal K. V. Segmentation of Breast Thermogram Images for the Detection of Breast Cancer — A Projection Profile Approach. In: Third International Conference on Intelligent Mechatronics and Automation, Singapore, 2015.
11. Dayakshini Sathish, Sathisha K. Bank Automation System for Indian Currency — A Novel Approach. In: IEEE RAICS, Trivandrum, 2011, pp. 299–302. doi: 10.1109/RAICS.2011.6069322.

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Research Grants

1. Received research grant from VGST (RGS/F) of Rs 3 Lakh for the project titled “Implementation of Post Quantum Cryptography Algorithm using Ring Learning with Errors” 2024  (Co-Investigator).
2. Principal Investigator for the VTU TEQIP CELL funding of Rs. 1 Lakh for Training Lab Instructors which was conducted during 6-7 March 2020.
3. Received  Project grant from Karnataka State Council for Science and Technology grant (44th Series: Year 2020-2021) for a project titled “Development of Non-invasive Device to Measure Blood Glucose during COVID 19 Pandemic Era”, April 2021.
4. Received VTU TEQIP grant for the project  “Rescue System for Open Borewell Accidents”  Avishkar 2020.

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Awards and Recognitions

• Received Publication and Research Award for the Year 2017 and 2018 from Manipal Academy of Higher Education (MAHE), Manipal.
• Received Third Best Paper Award (Technical) at Manipal Research Colloquium 2015, organized by Manipal University, Manipal.

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Membership in professional Bodies

Membership

·         Member of Governing Body SJEC, Mangaluru

·         BOS Member, Adamas University, Kolkatta

·         BOS Member, Department of ECS, SJCEM, Palghar

·         DAB Member, NMAMIT, Nitte

·         Academic Council Member, SJEC, Mangaluru

·         Research Supervisor at VTU,  Belagavi

·         Research Co-Supervisor at MAHE Manipal

·         Doctoral Advisory Board Member of  VTU Belagavi & MAHE Manipal 

·         Member IEEE

·         Life Member of ISTE

·         Editorial board member of the American Journal of Electrical and Computer Engineering (AJECE) & Journal of Autonomous Intelligence, Frontier Scientific Publishers.

 

·         Reviewer – International Journals : 

·         Journal of Imaging Informatics in Medicine

·         IEEE Access

·         International Journal of Thermal Sciences (Elsevier)

·         Pattern Recognition Letters (Elsevier)

·         Computerized Medical Imaging and Graphics (Elsevier)

·         Journal of Critical Reviews in Biomedical Engineering

·         Machine Vision and Application (Springer)

·         Cognitive Neurodynamics  (Springer)

·         Electronic Letters on Computer Vision and Image Analysis

·         Handbook of Hydroinformatics (Elsevier)

·         Expert Systems (Wiley)

·         Journal of Autonomous Intelligence

·         Applied Research (Wiley)

      

 

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Workshop/FDPs Attended

Workshops/Seminars conducted as Resource Person

• Five-Day Online FDP: Early Detection of Colon Cancer – Bridging Academia and Clinical Practice, with NIT Warangal, 9–13 Sept 2024.
• FDP: Advanced Techniques in Biomedical Image Processing using AI, NIT Warangal, 26–31 Aug 2024.
• Five-Day FDP: Recent Trends in AI, Computer Vision, and Image Processing, CTL NIT Warangal & Dept. of CSN, KITS Warangal, Apr 2024.
• Research & Innovation Conclave 2024, SJEC — Resource Person.
• AICTE–ISTE Refresher Program: Technology Driven Health Care Systems, 18–24 Jan 2022, Jawaharlal College of Engineering & Technology, Palakkad, Kerala.
• FDP Talk: Quality Academic Research through NRF 2020 in Curriculum Development Inspired by NEP-2020, INTEGRA 2021 (8–10 Apr and 15–16 Apr 2021).
• Workshop: Innovate-2023: Turn your Ideas to Reality — Hands-on Statistical Data Analysis, SJEC, 12–14 Jun 2023.
• Workshop: Innovate-2022: Turn your Ideas to Reality — Hands-on Introduction to LaTeX, SJEC, 6–7 Oct 2022.
• Hands-on Training on LaTeX for Report/Article/Thesis Writing — ECE Dept., SJEC, Mar 2021.
• FDP: Research Opportunities in Biomedical Engineering, 8–10 Jan 2020, ECE Dept., SJEC.
• FDP: Deep Learning and Machine Learning using MATLAB, 10–12 Jul 2019, Dept. of CSE, SJEC.
• Hands-on LaTeX Workshops: 27 Aug 2016 (School of Information Sciences, Manipal University) and 27 Jan 2017 (MIT Manipal).

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