Dr Dayakshini

About

I am an Academician with 24 years of teaching experience and an active researcher in the field of Biomedical Engineering. My passion for teaching is driven by the desire to provide a strong foundation for undergraduate students, fostering their growth and enabling them to embrace self-learning and lifelong learning. 

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Education Qualifications

Sl.No	Qualification Level	University	Area of Specialization	Year of Compeltion	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 – August 2007	SJEC, Mangaluru	Lecturer
8	April 2000 – Sept 2004	Dr TMA Pai Polytechnic, Manipal	Lecturer

 

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Research Areas

Research Areas: 

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

 Ongoing Research Details:

·        Early Detection of Breast Cancer using Thermogram Images.

·        Early Detection of Lung Cancer from CT scan Images Using Computer Aided Diagnosis Systems.

·        Computer-Aided Detection of Neurological Disorder of Dyslexic Children.

·        Mini-Slot Resource Allocation in URLLC with Reduced Inter-Numerology Interference.

 

 Ph.D Guidance: 7 students (2 completed)

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Journal Publications

1. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad and Rajagopal Kadavigere, “Role of Normalization of Breast Thermogram Images and Automatic Classification of Breast Cancer”, The Visual Computer, Springer, Vol. 35, Issue No. 1, pp 57–70, 2019. 
2. Dayakshini Sathish, Surekha Kamath, "Detection of Breast Thermograms using Ensemble Classifiers" Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 10, Issue No. 3-2, pp 35-39, 2018. 
3. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad, Rajagopal Kadavigere and Roshan Joy Martis, “Asymmetry Analysis of Breast Thermograms using Automated Segmentation and Texture Features”, Signal, Image and Video Processing, Springer, Vol.11, Issue No. 4, pp 745-752, 2017.  
4. Dayakshini Sathish, Surekha Kamath, Keerthana Prasad and Rajagopal Kadavigere, “Texture Analysis of Breast Thermograms using Neighbourhood Gray Tone Difference Matrix”, International Journal of Bioinformatics Research and Applications, Inderscience, Vol. 14, Issue No. 1/2, pp 104-118, 2018.  
5. Dayakshini Sathish, Surekha Kamath, Rajagopal KV, 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, Vol. 8, Issue No. 3, pp 275- 299, 2016. 
6. Dayakshini, Surekha Kamath, Keerthana Prasad and Rajagopal K V, “Segmentation of Breast Thermogram Images for the Detection of Breast Cancer - A Projection Profile Approach", Journal of Image and Graphics, Vol. 3, Issue No. 1, pp  47-51, 2015. 
7. Dayakshini Sathish, Souhardha S. Poojary, Samarth Shetty, Preethesh H. Acharya and Sathish Kabekody, “Non-invasive Diabetes Detection System Using Photoplethysmogram Signals”. Lecture Notes in Networks and Systems, vol. 796, Springer. 2023, https://doi.org/10.1007/978-981-99-6906-7_39 . 
8. Roopashree Nayak, Anush Bekal, Malini Suvarna and Dayakshini Sathish, ”Identifying Subtypes of Acute Lymphoblastic Leukemia using Blood Smear Images: A Hybrid Learning Approach" Journal of Institutes of Engineers India (Series B), May 2024, Springer. https://doi.org/10.1007/s40031-024-01069-0. 
9. Dayakshini Sathish, Souhardha S. Poojary, Samarth Shetty, Preethesh H. Acharya and Sathish Kabekody, “Non-invasive Diabetes Detection System Using Photoplethysmogram Signals”. Lecture Notes in Networks and Systems, vol. 796, Springer. 2023, https://doi.org/10.1007/978-981-99-6906-7_39 . 
10. Kiran V Shanbhag and Dayakshini Sathish, “Subcarrier Filtering for Spectrally Efficient Multicarrier Modulation Schemes and Its Impact on PAPR: A Unified Approach”, International Journal of Electronics and Telecommunications, Vol. 69, Issue No. 4, pp 785-791, 2023. 
11. Kiran V Shanbhag and Dayakshini Sathish, “Low complexity physical layer security approach for 5G internet of things”, International Journal of Electrical and Computer Engineering, Vol. 13, Issue No. 6, pp 6466~6475, 2023. 
12.  Kavitha Govarthanan, Piyush Kumar Gupta, Bamadeb Patra, Deepa Ramasamy, Binita Zipporah, Vineeta Sharma, Rajesh Yadav, Pavitra Kumar, Dayakshini Sathish and Rama Shanker Verma, “Genome wide methylome pattern predictive network analysis reveal mesenchymal stem cell’s propensity to undergo cardiovascular lineage”, 3BioTech Journal, Vol. 12, 2022, Springer, https://doi.org/10.1007/s13205-021-03058-2.
13. J. C. Saldanha, M. Suvarna, Dayakshini Sathish and Cynthiya S, “Jitter as a quantitative indicator of dysphonia in Parkinson's disease ", International Journal of Intelligent Systems Technologies and Applications, Vol. 21, Issue No. 1, 2023, Inderscience.
14. Joyline Teena Lasrado and Dayakshini Sathish, “Enhancement of Underwater Images using Homomorphic Filtering and CLAHE Technique”, Journal of Innovation in Information Technology, Vol. 4, Issue No. 1, pp 34-39, 2020.

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Conference Proceedings

1. Dayakshini Sathish and Sathish Kabekody, “Volumetric Analysis of Choroid Plexus for the Early Detection of Alzheimer's Disease”. In Proceedings of the 2024 13^th  International Conference on Software and Computer Applications (ICSCA-24) Bali Island, Indonesia, ACM, New York, NY, USA, 172–177.  https://doi.org/10.1145/3651781.3651807.
2. Dayakshini Sathish, Sathish Kabekody and Reshma K J, “Early Detection of Brain Tumour in MRI Images using Open by Reconstruction and Convolution Neural Networks”, 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappall, India, 2023, pp. 1-7, IEEE. doi: 10.1109/ICEEICT56924.2023.10157830.
3. Roopashree, M. Suvarna and Dayakshini, "Categorization & Classification of Acute & Chronic Leukaemia using Visual Geometry Group -16 Deep Convolutional Neural Network Architecture",  2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Erode, India, 2023, pp.1-6, IEEE.  doi: 10.1109/ICECCT56650.2023.10179851.
4. Dayakshini Sathish and Sathish Kabekody, “Analysis of CT Images for the Detection of Lung Cancer using Deep Learning – Implementation Challenges – A Review”, 2021 International Conference on Medical Imaging Science and Technology – Dec 1-3, 2021.
5. Dayakshini and Sathisha K, “Bank automation system for Indian currency- a novel approach," 2011 IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, India, 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

• Resource Person for the FDP on “Recent Trends and Advancements in AI, Computer Vision and Natural Language Processing” Department of CSE(N), KITS Warangal in Association with the Centre for Training and Learning of NIT Warangal from 15-19 April 2024.
• Resource Person for FDP sponsored by AICTE- ISTE Refresher Program on “TECHNOLOGY DRIVEN HEALTH CARE SYSTEMS” scheduled from 18-24 Jan 2022 at Jawaharlal college of Engineering and Technology LAKKIDI, PALAKKAD, KERALA STATE PIN-679301.
• Delivered a talk on “Quality Academic Research through New Research Foundation (NRF) 2020” in the Faculty Development Program on “Curriculum Development Inspired by NEP-2020" as a part of INTEGRA 2021, which was held from April 8 -10, 2021 and April  15- 16, 2021.
• Resource Person for the workshop on “Innovate- 2023: Turn your Ideas to Reality”, a hands-on session on “Statistical Data Analysis”,  for Faculty and Students of ECE Department, SJEC Mangaluru during 12-14 June 2023.
• Resource Person for the workshop on “Innovate- 2022: Turn your Ideas to Reality”, a hands-on session on “Introduction to LATEX”, for Faculty and Students of ECE Department, SJEC Mangaluru during 6-7 October 2022.
• Resource Person for the workshop on “Hands-on Training on  LaTeX tool for Report preparation, Journal Article writing and PhD Thesis preparation” for Faculty and students of ECE Department, SJEC Mangaluru during March 2021.
• Resource Person for the Faculty Development Programme on "Research Opportunities in Bio-Medical Engineering” conducted from 8-10 January 2020, organized by the Department of ECE, SJEC Mangaluru.
• Resource Person for the Faculty Development Program on "Deep Learning and Machine Learning using MATLAB" conducted from 10-12 July 2019, organized by the Department of Computer Science and Engineering at SJEC, Mangaluru.
• Resource person for the workshop on “Hands-on Training for Document Writing using Latex", conducted on 27 August 2016, organized by the School of Information Sciences,  Manipal University for faculty and students.
• Resource person for the workshop on “Hands-on Training for Document Writing using Latex”, conducted on 27 January 2017, organized by MIT Manipal for faculty and students.
• Delivered a talk on “Image Recognition Based On Pattern Analysis”, on 30  August 2013 at St. Joseph Engineering College Mangalore for faculty and students.
• Resource Person for the “Hands-on Training on Image Processing Toolbox using MATLAB” workshop conducted on 17 October 2011 at SJEC Mangalore.

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