Dr. JENICKA S

Designation : Associate Professor Grade 2
School / Centre : School of Computer Science and Engineering
Department : Analytics

Educational Details

B.E.

Computer Science and Engineering

Graduated in 1994

M.E.

Computer Science and Engineering

Graduated in 2009

Ph.D

Computer Science and Engineering

Graduated in 2014

Areas of Specialization

: 0000-0001-8975-8712

: 38661353300

: 7NEB9JkAAAAJ

: 7

: 6

Title	Funding Agency
TizenRT \| Binary compression optimization	Samsung Prism - Samsung Research Institute, Bangalore

Title	Funding Agency
Explainable Artificial Intelligence framework using deep learning neural network and machine learning algorithms for epidemiological prediction and analysis of Leprosy transmission and drug resistance	Indian Council of Medical Research

Title	Publisher	Published Year
Land Cover Classification of Remotely Sensed Images - A Textural Approach	Springer Nature	2021
Sugeno Fuzzy Inference System Based Land Cover Classification of Remotely Sensed Images	IGI Global	2019
Texture-Based Land Cover Classification Algorithm Using Hidden Markov Model for Multispectral Data	IGI Global	2018
Land cover classification using the proposed texture model and fuzzy k-NN classifier	IGI Global	2018
Predicting the Disease Outbreak Using Artificial Intelligence and Data Mining Techniques	Nova Science Publishers, Inc.	2024

Certificate of Excellence obtained for Samsung Prism worklet titled, TizenRT | Binary compression optimization from Dec 2022 to Aug 2023.
Certificate of merit obtained for successful completion of Samsung Prism worklet titled, “ Implement a Blur Detection Algorithm using Computer Vision or ML” from Dec 2021 to Sep 2022.
Certificate of merit obtained for successful completion of Samsung Prism worklet titled, “Develop a Watermarking tool for AI generated Images & Text” from Dec 2023 to Apr 2024.
Certificate of Appreciation awarded in Dec 2023 in recognition of her contribution to research through Publications in peer-reviewed Journals and h - index contribution.

Produced a Book chapter in Scopus Indexed Edited book through international collaboration. C. Ranpara, G. Kurup, H. Tamboli, S. Jenicka, S. Krishnamoorthy, “Predicting the Disease Outbreak Using Artificial Intelligence and Data Mining Techniques”, In Explainable Artificial Intelligence in Healthcare Systems. Nova Science Publishers, Incorporated, 2024
Produced a Journal paper through international collaboration. Sunoj, S., C. Igathinathane, and S. Jenicka. "Cashews whole and splits classification using a novel machine vision approach." Postharvest Biology and Technology 138 (2018): 19-30.
Produced an International Conference paper through international collaboration. Sunoj, S., C. Igathinathane, and S. Jenicka, “Identification of split and whole cashew nuts based on machine vision” published in 2017 ASABE Annual International Meeting 1701246. (Scopus Indexed)

Produced an International Conference paper through industry collaboration with Samsung Research Institute, Bangalore. T. R. Chamak, S. Kaushik, S. Singhal, A. Dadheech, A.Anitha, S. Jenicka, "TizenRT OS Based Data Compression Algorithms for IoT Devices," 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2023, pp. 992-997, doi: 10.1109/ICCCIS60361.2023.10425386.
Produced an International Conference paper through industry collaboration with Samsung Research Institute, Bangalore. A. Senapati, A. K. Karn, Y. Bhardwaj, S.Jenicka, Padma Priya. R, A. Shukla, S. Arora, "Identification of blurred objects in real time Video using deep learning neural networks," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-4, doi: 10.1109/ICCCNT54827.2022.9984429.

Editorial Experience

:

Serving as Editorial Review Board member of International Journal of Data Analytics (IJDA), IGI Global