Dr.Kavitha.D

Academics

Ph.D from VTU

Area of Research: Prenatal congenital heart disease detection using deep learning algorithms.

Area of Interest in Teaching

Digital system Design using Verilog, Biology for Engineers, Digital Image processing, Artificial Neural Network, Microprocessors, Electronic Measurements and Instrumentation, Basic Electronics Engineering, Linear Integrated Circuits, Analog Electronics and Circuits, Biomedical Instrumentation, Electronics and Instrumentation, Fiber Optics and Laser Instruments, Microprocessor and its applications, LTE and wireless sensor Network, Power Electronics.

Publications

Journals

1. Kavith D, Laxmi C R, Kannadsan, Design and implementation of discontinuities in Microwave filter design, Australian Journal of Electrical and Electronics Engineering, Q4, October 2025. 

2.  An Adaptive Neuro fuzzy methodology for the diagnosis of prenatal Hypoplastic left heart syndrome from ultrasound images, in Multimedia Tools and Applications, Springer, 2024, (SCI, Impact Factor 2.757).

3. Dynamic neuro fuzzy diagnosis of fetal hypoplastic cardiac syndrome using ultrasound images, Multimedia Tools and Applications, Springer, 2024, (SCI, Impact Factor 2.757). 

4. D Kavitha, R Geetha, Optimization techniques and their applications in prenatal congenital heart defects: a survey, Artificial Intelligence for Multimedia Information Processing, Taylor&Francis, 2024, 104-114.

5. R Geetha, D Kavitha, State-of-the-Art Analysis in Reversible Data Hiding Techniques, Artificial Intelligence for Multimedia Information Processing, Taylor&Francis, 2024, 32-43.

6. D Kavitha, CH Renumadhavi, An Efficient Multilayer Deep Detection Perceptron Methodology for Detecting Testicular Anomalies with or without Congenital Heart Disease, in The Journal of Supercomputing, Springer, 2021, (SCI, Impact Factor 2.4).

7. D Kavitha, S Sridevi, S Murugesan, V Sakthivel,Computer-aided decision support system for symmetry based prenatal congenital heart defects, in Advanced Machine Vision Paradigms for Medical Image Analysis, Elsevier Book series, 2021, (SCI, Impact Factor 4.1). 

8.  Kavitha D Renumadhavi, Application of Machine Learning Algorithm to Diagnose Prenatal Ventricular Septal Defects from Ultrasound Images, in ARPN Journal of Engineering and Applied Sciences, (Scopus) 2020. 

9. Kavitha D, Design of 1-18ghz compact spiral antenna, International Journal of Management, Technology and Engineering, 2019.

10. Kavitha D, Decision support system for finding fetal heart images using image processing, International Journal of Engineering Research in Electronics and Communication Engineering, 2018. 

11.  RKP Ms. Kavitha D, Cloud Computing Security Analysis, International Journal of Current Engineering and Scientific Research, 2018. 

12. Kavitha.D, A Fuzzy-Logic Trained Neural Network Approach for Machine Schedule Optimization, International Journal of Applied Engineering Research and Development, 2013.

13. MP Priyadarshini, KG Dharani, D Kavitha, Digitization of vector control algorithm using FPGA, International Journal of Engineering Research and Technology, 2013. 

14. Kavitha.D, A case study on advancements and applications of Nanotechnology, International Journal of Advanced Research in Electronics and Communication Engineering, 2013.

Conferences

1. Interpretable Ensemble Models for Fetal Health Risk Assessment, International Conference on Electronics, Communication and Aerospace Technology (ICECA 2025), November 2025.

2. Tunable Microwave Bandstop Filter for Sub-6 GHz 5G Applications, Advances in Intelligent Computing and Communication, pp 583–595, 17 June 2025, springer conference. 

3. Enhanced Obstacle Detection in adverse weather condition for Autonomous Vehicles, Smart Trends in Computing and Communications, 01 October 2025, springer conference. 

4. Slotted Ground Resonator Based CauerLPF, IEEE International Conference on women in innovation, technology and entrepreneurship, on Feb 2024. 

5. An Enhanced Transfer Learning Approach for the detection of prenatal anomalies in the Fetal Heart, International conference on Nex-Gen semiconductor device and smart computing applications, December 2024. 

6. Prenatal detection of ventricular septal defects by VGG-16 model using ultrasound images, IEEE International Conference on Mobile Networks and Wireless Communication (ICMNWC), Dec-2023.

7. Application of Bayesian Regularization ANN for the Classification of HLHS Anomaly Images, IEEE International Conference on Smart Systems and Inventive Technology (ICSSIT),  2023.

8. A Survey of Artificial Intelligence Technique for the early prediction of Congenital Heart Disease, International Conferences on Advances and Developments in Electrical and Electronics Engineering, Karpagam College of Engineering, Coimbatore, 2020. 

9. Brain Tumor Detection using segmentation algorithm, International Conference on Design Innovation for 3C’s, Compute, Communicate and Control, MVJCE, 2019. 

10. CNN based technique for systematic classification of field photographs, International conference on design innovations for 3Cs compute communicate control,  59-63, 2018.

11. NN based technique for systematic classification of field photographs, IEEE Conference, 2018. 

12. Design of selected transition time adjustment technique for reducing bus delay effect on NOC interconnects, National Conference held at MVJCE, 2012. 

13. An ECC based Iterative Algorithm for photometric Invariant Image Alignment, National Conference held at MVJCE, 2012.

Conferences Chaired/Speaker

A Distinguished Speaker in “International Congress on Advanced Cardiology and Cardiovascular Research”, on 31st March 2022, France.

Awards and Honors

1. Bagged University 6th Rank in B.E.

2. Received Best outgoing student award in B.E.

3. Received Certificate of Appreciation from MVJCE in the year 2019.

4. Received Certificate of Excellence award from MVJCE for publishing papers in Scopus indexed journals.

5. Received Appreciation certification from ECE department, MVJCE for arranging CSR sponsored workshops.

Short term courses/Training Programs attended

1. Artificial Intelligence and Computer Vision, Center for development of Advanced Computing, from sep 8-12, 2025.

2. Recent Trendsd in Biomedical Engineering, SIMAT Engineering, from 07th Oct to 14th Oct, 2024.

3. Empowering future 6G: GaN Semiconductor Technology growth towards a sustainable society, by ATAL, from 11/12/2023 to 16/12/2023. 

4. CSIR sponsored five days online Faculty Development Program on “Artificial Intelligence & Computer Vision Solution of Edge Devices (IoT)”, Organized by Dept. of ECE, from 1st to 5th feb 2021 at MVJ College of Engineering.

5. Five days online FDP on “Image and video processing techniques using python Programming”, Organized by the Dept. of ECE and CSE in association with IETE and computer society of India, from 15th June to 19th June, 2020 at New Horizon College of Engineering. 

6. Presented paper entitled “A Survey of Artificial Intelligence Technique for the early prediction of Congenital Heart Disease”, in international conference held at Karpagam college of Engineering on 6th and 7th feb 2020. 

7. Five days online FDP on “Advances in Artificial Intelligence, Machine Learning and Robotics”, Organized by the Dept. of ECE, from 06th July to 10th July, 2020, at Vidhyavardhaka College of Engineering. 

8. Three days National Level Online Faculty Development Program on "Advanced Research Trends in Image Processing", Organized by the Dept. of ECE, from 14th July to 16th July, 2020, at Hirasugar Institute of Technology. 

9. Two-week FDP on “Computer Vision, Image Processing Techniques with OpenCV-Python and MATLAB”, from 10th to 22nd August 2020 conducted by DataTeach Labs. 

10. AICTE sponsored one week FDP on “High Quality Medical Diagnosis using Data Science for societal Benefits”, Organized by Dept. of Information Technology from 21st to 25th sep 2020, at Velagapudi Ramakrishna Siddhartha Engineering College. 

11. Three days’ workshop on “Research Methodology and Latex” Organized by VTU e-learning center Mysuru, from 19th to 21st June 2019, at Don Bosco Institute of Technology. 

12. One day webinar on “Deep Learning in Multimedia Signal Processing” organized by Dep. of ECE at Mahendra College of Engineering in collaboration with Institution’s Innovation Council on 04th July 2020. 

13. Webinar on “Advancement of Machine Learning Techniques for IOT Products” organized by the Dep. of ECE, under IQAC, at MVJ College of Engineering, Bengaluru on 17th & 28th November 2020. 

14. Webinar Lecture series- 5, 2020 on “Medical Image Processing” held on 20th July 2020, Organized by Dep. of ECE at the oxford college of engineering. 

15.  One day FDP on “NI Labview Graphical Programming & Real time systems”, MVJCE, July-2017, Bangalore. 

16. One day FDP on “Advanced Electronics Engineering tools”, held at MVJCE, Dec-2017, Bangalore. 

17. Two days’ workshop on “Problem Identification and Research Methodology”, MVJCE, June-2013, Bangalore. 

18. One day workshop on “FPGA Design Flow Using XILINX ISE System Edition”, held at MVJCE, 2012.