Dr.Anusha B

Date of Joining : 18/03/2024

Years of Experience :  4 years

Expertise Area: 

• Machine Learning

• Image Processing 

• Data Analytics

• Deep Learning

Qualification:

• Ph.D (Information Science and Technology) - College of Engineering Guindy (CEG campus), Anna University, Chennai.

Thesis Title: Sequence matching and Deep learning techniques for early-stage detection of Parkinson's disease through multi-modalities

• ME (Computer Science and Engineering) - Regional Center of Anna University, Tirunelveli.

• BE ( Computer Science and Engineering) - Kalaignar Karunanidhi Institute of Technology, Coimbatore.

Additional Qualifications:

•  National Eligibility Test (NET-2023)

• Tamil Nadu State Level Eligibility Test (TN SET-2016)

Teaching Experience

• College of Engineering Trivandrum (CET) - Dec 2021 to May 2023

• Marian Engineering College Trivandrum - March 2024 to till date

Patent Published

• An IOT Based Farmer Friend System To Control The Transmission of Disease From Infectious Plants To Healthy Plants

Patent Granted

• Solar Powered Irrigation Control Valve (Design Number: 440427-001, Date of Issue: 21/01/2026)

FDP Session Handled

• "Kernel Magic: Python-Powered Support Vector Machines for Exploring Linear and Non-Linear Decision Boundaries " for an FDP on Python-Powered Machine Learning: Hands-on Training for Educators and Researchers organized by the Department of CSE, Marian Engineering College Trivandrum held on July 2026.

• "Evolutionary Intelligence: Unlocking problem-solving with Genetic Algorithms" for an FDP on Soft Computing organized by the Department of CSE, Marian Engineering College Trivandrum held on Dec 2025.

• "Fuzzy Intelligent Hybrid System for Smart Application” for an FDP on Empower Minds, Advance Progress: A Journey through AI, Automation, and Emerging Technologies organized by School of Computing, Department of CSE, Sathyabama Institute of Science and Technology Chennai held from 4th to 14th August 2025.

Journal Publications

1. Pandiyaraju, V., Anusha, B., Senthil Kumar, A. M., Jaspin, K., Venkatraman, S., & Kannan, A. (2025). Spatial attention-based hybrid VGG-SVM and VGG-RF frameworks for improved cotton leaf disease detection. Neural Computing and Applications, 37(14), 8309-8329. 

2. Parimalam, T., Anusha, B., & Remya, P. (2024). AI-Powered Vehicular Activity Optimization Network. Nanotechnology Perceptions, 20, No. S14, 3793-3798. 

3. Anusha, B., Geetha, P. Identification of gene variant associated with Parkinson’s disease using genomic databases. J Ambient Intell Human Comput 13, 5211–5224 (2022). https://doi.org/10.1007/s12652-021-02994-4 

4. Anusha, B., & Geetha, P. (2021). Modeling of TST Using Biological Signals and KL-Hausdorff Distance Similarity Measure for Gene Based Parkinson’s Disease Recognition. Journal of Medical Imaging and Health Informatics, 11(10), 2566-2572. 

5. Anusha, B, Ashin Leo A. (2016) Comparison of Various Classifiers over Type I and Type II Diabetic Food Recognition System, Global Research and Development Journal for Engineering, Vol 1, Issue 6, 2455-5703.

6. Ashin Leo & Anusha, B. (2016) Certifying Truthfulness using a Light-Weight Security System in Clustered Wireless Sensor Networks, International Journal for Scientific Research and Development, Vol 4, Issue 3, 2321-0613. 

7. Anusha B, Ashin Leo (2016) TYPE I and TYPE II Diabetic Food Recognition System using Bayesian, SVM, Parzen Window, ANN classifiers, CiiT International Journal of Digital Image Processing, Vol 8, No 3, 0974-9691.

8. Sabena, S., Kalaiselvi, S., Anusha, B., & Ramesh, L. S. (2016). An Multi-Label Classification with Label Correlation. Asian Journal of Research in Social Sciences and Humanities, 6(9), 373-386. 

Conference Publications and Book Chapters

1. Anusha, B., V. Pandiyaraju, Abraham JV Thomas, and A. Kannan. "An Extensive Survey of Gene-Centric Approach to Parkinson's Disease Identification." In Advanced Computational Intelligence Techniques for Engineers, pp. 16-43. Chapman and Hall/CRC, 2026.

2. Ebenezer, S. S., Anusha, B., Nandhini, I., Susi, E., Babu, A., & Pandiyaraju, V. (2025, May). Context-Based Approach For Multi-Captioning Object Annotation With Inference Knowledge Using Hidden Markov Model. In 2025 6th International Conference on Control, Communication and Computing (ICCC) (pp. 1-5). IEEE.

3. Anusha, B., & Geetha, P. (2018). Biomedical voice based parkinson disorder identification for homosapiens. In Computational vision and bio inspired computing (pp. 641-651). Springer International Publishing. 

4. Anusha, B., & Geetha, P. (2018). Detection of Parkinson Disease in Homo Sapiens using Supervised Approach. In Proceeding of International Organization of Scientific Research and Development, Vol 60, Page: 52-60.

5. Anusha, B., Sabena, S., & Sairamesh, L. (2018). Optimized Food Recognition System for Diabetic Patients. In Smart and Innovative Trends in Next Generation Computing Technologies: Third International Conference, NGCT 2017, Dehradun, India, October 30-31, 2017, Revised Selected Papers, Part I 3 (pp. 504-525). Springer Singapore. 

6. Anusha, B., Sabena, S., (2016). Calorie Measurement in Food Recognition System for Diabetic Patients based on Bag-Of-Features Model. In Proceeding of National level Conference conducted by Government College of Engineering, Thirunelveli.

Workshops/ STTP/ FDP/ / Training Programme/ Conference attended

1. Algorithmic thinking with python - 5 days FDP (2024)

2. Artificial Intelligence & Applications - 6 days STTP (2022)

3. Research Leading the Institution to Excellence - 4 days FDP (2022)

4. Pedagogy Workshop on Effective Teaching - 9 days workshop (2021)

5. Advances in Signal and Image Processing with hands-on training using MATLAB - 13 days FDP (2019)

6. 18th Tamil Internet Conference - 3 days conference (2019)

7. Blockchain Technologies - 5 days workshop (2019)

8. URKUND: Plagiarism Detection Service - 1 day Training Program (2019)

9. Writing Science, Engineering and Technology in Tamil - 1 day workshop (2019)

10. Machine Learning Techniques, Tools and Applications - 3 days workshop (2018)

11. Soft Computing & Bio-Inspired Computing - 2 days hands-on training program (2017)

12. Deep Learning: Smart Tool for Big Data Challenge in Health Care - 2 days seminar (2017)

13. Research Contributions in Technology & Applications - 1 day workshop (2015)

14. Free and Open Source Tools: PHP & MySQL - 1 day workshop (2012)

15. Mainframe - 2 days workshop (2012)

Additional Activities

1. Worked as a reviewer in the 5th International Conference on Control, Communication, and Computing (ICCC 2023), IEEE Kerala Section, organized by College of Engineering Trivandrum, Kerala, India during May 19-21, 2023.

2. Worked as a Resident Counsellor in Engineering College Hostel, Anna University, Chennai from July 2017 to Feb 2021. 

Subjects Handled

1. Algorithmic Thinking with Python - S1 (2024 Scheme)

2. Object Oriented Programming using JAVA - S3 (2019 Scheme)

3. Computer Organization and Architecture - S4 (2019 Scheme)

4. Soft Computing - S8 (2019 Scheme)

Labs Handled

1. Object Oriented Programming using JAVA Lab - S3 (2019 Scheme)

2. Operating Systems Lab - S4 (2019 Scheme)