Ms Saleena T S

About

With over a decade of experience in the field of Computer Science, I have honed my skills in both teaching, research and development, specializing in Python and Deep Learning. My expertise spans designing, developing, and deploying advanced neural network models for diverse real-world applications. By sharing this knowledge with students, I aim to empower them with the skills and confidence to excel in their careers and contribute to advancements in technology.

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Education Qualifications

Sl.No	Qualification Level	University	Area of Specialization	Year of Compeltion	Awards
1	PhD(Pursuing)	Calicut University	Computer vision, Image processing	2024
2	MPhil	Bharathidasan University	Data mining, Machine learning	2019
3	MCA	Calicut University	Computer Science	2009
4	BSc Physics	Calicut University	Physics	2003

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Responsibilities At SJEC

• Dept. IEEE Student Chapter Coordinator
• Dept. AICTE Activity Point Coordinator
• NBA Coordinator - CSDS

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Work Experience

     ⮚       Currently    working    as    Assistant Professor at ST. JOSEPH ENGINEERING COLLEGE, VAMANJOOR, MANGALURU since December 2023.

     ⮚       Worked      as              Teaching           Assistant    of    UpGrad    Campus           at               LOVELY PROFESSIONAL UNIVERSITY, PUNJAB           from September 2023 to December 2023.

          ⮚        Worked as Research Associate in ICFOSS, Trivandrum from July 2022 to September 2023

           ⮚        Worked as an online python and Machine Learning tutor for foreign students (USA) through Growing Stars Inc

⮚        Worked     as      Assistant     Professor     in      Computer     Science                  Department          at SULLAMUSSALAM SCIENCE            COLLEGE, AREEKODE, MALAPPURAM from August 2018 to October 2019. 

⮚          Currently working as an approved counselor of INDIRA GANDHI NATIONAL OPEN UNIVERSITY since 2015.

⮚          Worked as lecturer in computer science at COLLEGE OF APPLIED SCIENCE, VAZHAKKAD during Oct 2015 to March 2016.

⮚          Worked as lecturer in computer science at JDT ISLAM ARTS AND SCIENCE COLLEGE, CALICUT during June 2012 to March 2013.

⮚          Worked as Senior Software Engineer at Nucore Software Solution Pvt Ltd. Calicut for 2.9 years (August 2009 to April 2012) (Python).

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Research Areas

• Computer vision
• Image processing
• Deep learning

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Journal Publications

1. Deep Learning Techniques for Quantification of Tumour Necrosis in Post- neoadjuvant Chemotherapy Osteosarcoma Resection Specimens     for Effective Treatment Planning,Acta Informatica Pragensia, 12(1), 87-103,2023 doi: 10.18267/j.aip.207(Scopus indexed)
2. Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues. International           Journal of Clinical Practice, 2022. https://doi.org/10.1155/2022/6807484(SCI indexed)
3. (18)F-FDG PET/CT- An Effective Diagnostic Tool for Non-Small Cell Lung Cancer: A Review Journal of the Maharaja Sayajirao University of        Baroda ISSN : 0025-0422 – UGC CARE GROUP 1 journal,2021
4.  Comparison of K-Means Algorithm and Hierarchical Algorithm using Weka Tool, International Journal of Advanced Research in Computer and                       Communication Engineering ,ISO 3297:2007 Certified, Vol. 7, Issue 7, July 2018

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Conference Proceedings

1.   MedChecker- An Ensembled Deep-Learning-based Classification Model, doi: 10.1109/NEleX59773.2023.10421465
2.  Synthetic Dataset Generation From Histopathology Images For Quantizing Necrosis In Post Neo-Adjuvant Chemotherapy Resection Specimen,2023 2nd International Conference on Computational Systems and Communication (ICCSC), Thiruvananthapuram, India, 2023, pp. 1-5, doi: 10.1109/ICCSC56913.2023.10143027.(IEEE Xplore)
3. AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT Images in COVID-19 Patients. In Emergent Converging Technologies and Biomedical Systems (pp. 93-101). Springer, Singapore, Online ISBN: 978-981-16- 8774-7, 2022,https://doi.org/10.1007/978-981-16-8774-7_9 (Scopus indexed)
4. A 3D Designed Portable Programmable Device Using Gas Sensors for Air Quality Checking and Predicting the Concentration of Oxygen in Coal Mining Areas In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. ICSCSP 2022. Smart Innovation, Systems and Technologies, vol 313. Springer, Singapore. https://doi.org/10.1007/978-981-19- 8669-7_49

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Research Grants

·       Completed a 4-month internship at MG University Campus as part of ASPIRE scholarship, Directorate of Collegiate Education, Govt. of Kerala

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Awards and Recognitions

·       Finalist in Idea pitching contest of 2021, conducted by YIP program under Kerala Development and Innovation Strategic Council (K-DISC)

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Membership in professional Bodies

Google scholar ID: https://scholar.google.com/citations?user=WNyzdwEAAAAJ&hl=en&oi=ao

ORCID: 0000-0001-5709-355X

SCOPUS ID: 57329751400

 

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Conferences attended

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·  Presented a paper MedChecker- An Ensembled Deep-learning based Classification Model, in IEEE International Conference on Next Generation Electronics held at VIT Vellore       

• Presented a paper Synthetic Dataset Generation from Histopathology Images for Quantizing Necrosis in Post Neo-Adjuvant Chemotherapy Resection Specimen in IEEE conference at LBS Institute of Technology for Women, Poojappura, Thiruvananthapuram and included the paper in IEEE Xplore

·        Presented a paper “Semantic Segmentation of Necrotic Tissues in Post Neo- adjuvant Chemotherapy Resection Specimens using Auto-Encoder Network” in International Conference on Advances in Data Science Challenges with Big Data Analysis (ICADSC2022)

·        Presented the paper “AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients” International Conference on “Emergent Converging Technologies and Biomedical Systems, (ETBS-2021)” 28^th-29^th April 2021 Organized by University Institute of Engineering & Technology Kurukshetra University, Kurukshetra

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