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Dr. Rekha R Nair

Assistant Professor

Alliance College of Engineering and Design

Dr. Rekha R. Nair presently holds the position of Assistant Professor within the Department of Computer Science & Engineering. She earned her doctoral degree in Computer Science from the Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru. Her doctoral research was centered on the domain of Medical Image Fusion.

Dr. Rekha's scholarly pursuits encompass a wide spectrum, ranging from Machine Learning, Image Processing, Biomedical Image Processing, to Data Science. Her impactful intellectual contributions are vividly demonstrated through her participation in numerous prestigious journal publications and conference papers. These achievements underscore her unwavering dedication to advancing knowledge and conducting research within her areas of expertise.

Journals

  • Rekha R. Nair, Tina Babu, Tripty Singh (2023), "Modified Local Energy Based Medical Image Fusion: A Multi Resolution Approach", Signal, Image and Video Processing Journal, Springer, doi:10.1007/s11760-023- 02636-6.
  • Raye Haarika, Tina Babu, Rekha R Nair (2023), "Insect Classification Framework based on a Novel Fusion of High-level and Shallow Features", Procedia Computer Science, Volume 218, Pages 338-347, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2023.01.016.
  • Rekha R. Nair, Tripty Singh, ‘Optimal Wavelet based Multi-Modal Medical Image Fusion with Quantitative Analysis for Color Images using different color Models’, in International Journal of Biomedical Engineering and Technology, Vol. 40, No. 3, October 5, 2022, pp. 262-288, https://doi.org/10.1504/IJBET.2022.126496
  • Rekha R. Nair, Abhinandan Basavapattana, Manasa M. Pawar, ”Multi-Layer, Multi-Modal Medical Image Intelligent Fusion”, in Multimedia Tools and Applications, vol. 81, pp. 42821–42847, 12 August 2022. DOI:https://doi.org/10.1007/s11042-022-13482-y.
  • Rekha R. Nair, Tripty Singh, Rashmi Sankar and Klement Gunndu, ’‘Multi-Modal Medical Image Fusion Using LMF-GAN - A Maximum Parameter Infusion Technique’, in Journal of Intelligent and Fuzzy Systems (JIFS), vol. 41, no. 5, pp. 5375-5386, 2021, DOI: 10.3233/JIFS-189860.
  • Rekha R. Nair, Tripty Singh, ‘MAMIF: Multimodal Adaptive Medical Image fusion based on B-spline Registration and Non-Subsampled Shearlet Transform’, in Multimedia Tools and Applications, 80(12), pp. 19079-19105, Doi.org/10.1007/s11042-020-10439-x.
  • Rekha R. Nair, Tripty Singh, ‘An Optimal registration on Shearlet domain with novel Weighted Energy Fusion for Multi-Modal Medical Images’, in International Journal for Light and Electron Optics(Optik), 2021, Vol. 225, pp 1-20, https://doi.org/10.1016/ j.ijleo.2020.165742.
  • Rekha R. Nair, Tripty Singh, ‘Multi-Modal, Multi-Sensor Medical Image Fusion using Hybrid fusion with 1-D Wavelet Transform’, in International Journal of Advanced Science and Technology, 2020, Vol. 29, Issue. 5, pp 5353-5368.
  • Rekha R. Nair, Tripty Singh, ”Multi-Sensor Medical Image Fusion Using Pyramid Based Discrete Wavelet Transform: A Multi-Resolution Approach”, in IET Image Processing, 2019,13, (9), pp 1447-1459.

Awards

Best Paper Award, for paper titled “’Age and Gender Recognition Using OPENCV and CNN with Webcam” Under the Automation Science in International Conference on Advance Trends in Mechanical and Automation Science (ATMA- 2023).

  • Kishore S, Rekha R Nair, Vishal Mehra, Tina Babu (2023), "A Generalized Framework for Brain Tumor and Pneumonia Detection Using Streamlite Application," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, pp. 1-6, doi: 10.1109/INCET57972.2023.10170689.
  • K. Kanchan, S. S, S. K. Loni, R. S. Raksha and Tina Babu (2023), "Vocals - An App for Vocally Impaired using NLP Conversational Model," 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, pp. 1-6, doi: 10.1109/I2CT57861.2023.10126416.
  • Mohan V S, Abhay Gowda G K, Rekha R Nair, Tina Babu (2023), “Face Mask detection using Mask R-CNN to control the spread of Covid-19”, 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111905.
  • Raye Haarika, Tina Babu, Rekha R Nair (2023), “Breast Cancer Prediction using Feature Selection and Classification with XGBoost”, 2023 International Conference on Recent Trends in Electronics and Communication (ICRTEC), Mysore, India, pp. 1-6, doi: 10.1109/ICRTEC56977.2023.10111901.
  • Rajesh TM, Tina Babu, Rekha R Nair, Punith Pechetti (2022), ‘Detection of Tuberculosis using a Multi-model Classification Approach on CXR Images’, IEEE 2022 International conference on Artificial Intelligence and Data Engineering (AIDE), IEEE, pp. 252-258, doi: 10.1109/AIDE57180.2022.10060675.
  • Rajesh TM, Tina Babu, Rekha R Nair, Nivedha S (2022), “Secure Remote Health Monitoring System and assessment using IOT”, IEEE 2022 International conference on Artificial Intelligence and Data Engineering (AIDE), IEEE, pp. 295-300, doi: 10.1109/AIDE57180.2022.10060104.
  • Sneha G, Shreya Shree G, Tina Babu, Rekha R Nair (2022), “Evaluation of Subjective Answers Using Machine Learning”, 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), Ghaziabad, India, pp. 1-6, doi: 10.1109/ICICT55121.2022.10064615.
  • Jayavrinda Vrindavanam, Tina Babu, Harika Gandiboina, Gopika Jayadev (2022), “A Comparative Analysis of Machine Learning Algorithms for Agricultural Drought Forecasting”, 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), Ghaziabad, India, pp. 1-6, doi: 10.1109/ICICT55121.2022.10064511.
  • Anuj Kumar Dixit, Rekha R Nair, Tina Babu (2022), “Analysis and Classification of Restaurants Based on Rating with XGBoost Model”, 2022 3rd International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), Ghaziabad, India, pp. 1-6, doi: 10.1109/ICICT55121.2022.10064491.
  • Gopika Jayadev, Kaparthi Gayathri, Tina Babu, Harika Gandiboina, Kavya Sudha, Bondu Venkteswalru (2022), “The effect of programming language in Software Bug Prediction”, IEEE 3rd International Conference on Communication, Computing & Industry 4.0-2022 (C2I4-2022), IEEE, pp. 1-6, doi: 10.1109/C2I456876.2022.10051493.
  • Manjushree R, Bhoomika D, Rekha R Nair, Tina Babu (2022), “Automated Detection of Diabetic Retinopathy using Deep Learning in Retinal Fundus Images: Analysis”, IEEE 3rd International Conference on Communication, Computing & Industry 4.0-2022 (C2I4-2022), IEEE, pp. 1-6, doi: 10.1109/C2I456876.2022.10051419.
  • Nayana J, Suparna Bhat, Rekha R Nair, Tina Babu (2022), “Audio to Sign Language conversion using Natural Language Processing”, IEEE 3rd International Conference on Communication, Computing & Industry 4.0-2022 (C2I4-2022), IEEE, pp. 1-6, doi: 10.1109/C2I456876.2022.10051414.
  • Tripty Singh and Tina Babu (2019), "Fractal Image Processing and Analysis for Classification of Hyperspectral Images," 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kanpur, India, 2019, pp. 1-6, doi: 10.1109/ICCCNT45670.2019.8944410.
  • Tripty Singh and Tina Babu (2019), "Fractal Image Processing and Analysis for Compression of Hyperspectral Images," in 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kanpur, India, 2019, pp. 1-7, doi: 10.1109/ICCCNT45670.2019.8944503.
  • Tina Babu, Tripty Singh, Deepa Gupta and Shahin Hameed (2018), "Colon Cancer Prediction On Different Magnified Colon Biopsy Images," 2018 Tenth International Conference on Advanced Computing (ICoAC), Chennai, India, 2018, pp. 277-280, doi: 10.1109/ICoAC44903.2018.8939067.
  • Revathy Mukkamala, P. S. Neeraja, Sravani Pamidi, Tina Babu and Tripty Singh (2018), "Deep PCANet Framework for the Binary Categorization of Breast Histopathology Images," in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, pp. 105-110.doi: 10.1109/ICACCI.2018.8554428.
  • Tina Babu, Deepa Gupta, Tripty Singh, Shahin Hameed, Ravi Nayar and R. Veena (2018), "Cancer Screening On Indian Colon Biopsy Images Using Texture and Morphological Features," in 2018 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, pp. 0175-0181. doi: 10.1109/ICCSP.2018.8524492.
  • Tina Babu, Tripty Singh, Deepa Gupta and Shahin Hameed (2017), "Colon Cancer Detection in Biopsy Images for Indian Population at Different Magnification Factors Using Texture Features," in 2017 Ninth International Conference on Advanced Computing (ICoAC), Chennai, pp. 192-197.doi: 10.1109/ICoAC.2017.8441173.
  • V. Reshma, Anitha T. Nair, Mehbooba P. Shareef, Nimisha Abraham and Tina Babu (2014), "Efficient registration via fingerprints combination," in 2014 International Conference on Communication and Signal Processing, Melmaruvathur, pp. 1540-1544. doi: 10.1109/ICCSP.2014.6950107.
  • Mehbooba P. Shareef, Divya T V, Nimisha Abraham, Tina Babu and K. V. Reshma (2014), "Encryption-enhanced reversible watermarking for medical images via prediction and RC4 encryption," in 2014 International Conference on Communication and Signal Processing, Melmaruvathur, pp. 1509- 1513.doi: 10.1109/ICCSP.2014.6950101.

Book Chapters

  • Tina Babu, Rekha R Nair, “Colon Cancer Prediction with Transfer Learning and K-Means Clustering”. In: Mandal, J.K., De, D. (eds) Frontiers of ICT in Healthcare . Lecture Notes in Networks and Systems, vol 519. Springer, Singapore, 2023. https://doi.org/10.1007/978-981-19-5191-6_16.
  • Rekha R Nair, Tina Babu, Kishore S (2023) ’Chapter 3 Recent And Emerging Technologies in Industrial IOT, IGI Global, Yu, Poshan, et al., editors. Industrial Applications of the Internet of Things and 5G and 6G Networks. IGI Global, 2023. https://doi.org/10.4018/978-1-7998-9266-3

     Patent Published

  • Sindhu. P. Menon, Dr. Tina Babu, Dr. Rekha R Nair, Prof. Pavithra.K. 2023. Cancer Detector. Indian Patent, 367707-001, filed July 15, 2022, and issued March 30, 2023.

     Conferences Coordinated

  • International Conference on Disruptive Technologies for Multi-Disciplinary Research & Applications (CENTCON 2022)