Department of Computer Science

Pursuing P.h.D in Computer Science from Kerala University under the Faculty of Applied Science and Technology(2021-2024)

UGC NET (Computer Science & Applications)

MCA

Guest Lecturer, Sree Narayana College, Cherthala - Dec  2020-Mar 2021

Guest Lecturer, Sree Narayana College, Cherthala - July  2019-Mar 2020

Assistant Professor, Naipunnya School of Management, Cherthala - June 2016- June 2019

Associate Software Engineer, IBM India Pvt Ltd, Bangalore- Aug 2007 -Feb 2009

Certified internal auditor of the institution, Naipunnya School of Management -2018-2019

ISO coordinator of Computer Science Department, Naipunnya School of Management -2017-2019

Class in Charge, II BSc Computer Science (2024-2025)

Class in Charge, I BSc Computer Science (2017-2018)

Best Paper Award- ‘Lung Cancer Classification Using Fine-Tuned VGG16’ -International Conference on Emerging Computational Intelligence (ICECI-2023)- Department of Computer Science- Aligarh Muslim University, Aligarh- Scopus- 11^th -12^th February 2023 

A project on "Computer-Aided Detection and Localization of Pulmonary Emboli from Non-Contrast CT Images Using Artificial Intelligence"  is ongoing with Aster Medcity, Kochi, after signing an MoU with the Department of Computer Science - Kerala University and Aster Medcity (In progress)

Completed a project on "Computer-Aided Detection and Localization of Pulmonary Emboli Using Artificial Intelligence" as part of collaborative research with Aster Medcity, Kochi(2023-2024)

• Attended a 9-day international workshop on “Research Development Program and Scholar Wellness Program- I” organized with ReMaestro Academy from 21st to 30th September 2024.
• Attended one-week FDP on “Big Data Tools” from 18th to 23rd May 2020 from St. Martin’s Engineering College, Secunderabad.
• Attended one-day FDP on “Data Analytics using R” on 30th May 2020 from T. JOHN College, affiliated with Bangalore University.
• Attended a two-day webinar on “Data Science & Analytics” on 27th and 29th May 2020 from Government College Nedumangad (Organized by the Dept of Computer Science) in association with ICT Academy of Kerala.
• Attended a webinar on “Blockchain technology” on 26th May 2020 from MES Institute of Technology & Management, Kollam
• Attended a webinar on “Research Prospects in Deep Learning” on June 6^th, 2020, from the Dept of Computer Science, Vimala College (Autonomous), Thrissur.
• Attended a webinar on “Moodle” on June 20^th, 2020, organized by Dept of Computer science, SN College Cherthala
• Attended a webinar on “Covid-Informatics” on 26th June 2020 from Dept of Computational Biology and Bioinformatics (University of Kerala).
• Attended a webinar on “Machine Learning- Transforming Digital World” on 18th August 2020 from Dept of Computer Science, Mar Thoma College of Science & Technology, Ayur
• Attended a webinar on “Decision making -A Machine Learning Approach” on 5th November 2020 from the Dept of Computer Science, KKTM, Govt. College, Pullut, in association with Dept of Computer Application, CUSAT.
• Attended a Five-day international workshop on “Art of writing a research paper” organized by the Department of computer science, SH College, Thevara, from January 4th-8^th, 2021.
• Attended an FDP on “Hands-on Training on Machine Learning and Data Science”, Organized by the Department of Computer Applications, FISAT, Angamaly on 11^th and 12^th November 2021.
• Attended an international seminar on “Data Science and Information Processing “organized by the Department of Computer Science, the University of Kerala from 22^nd -24^th November 2021.
• Participated in a National Webinar on “Research and Publication Ethics” organized by IQAC in Association with the Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, held on 21st July 2022.
• Participated in an FDP on "Artificial Intelligence and Deep Learning “,2^nd -6^th January 2023, Department of Computer Science & Engineering and Department of Electronics and Communication Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal. Madhya Pradesh.
• Participated in a Five Day FDP on “CUSAT-INID School on Medical Image Understanding”, 27^th February 2023 to 3^rd March 2023, Organized jointly by the Department of Computer Science, CUSAT, and Norwegian University of Science and Technology, Norway.
• Participated in a Five-day FDP on “Advancements in Computational Biology and Healthcare,” 17^th April – 21^st April 2023, Organized by the Department of Electronics and Communication Engineering, SRM University, Andra Pradesh.

• Resource person on “Overview of machine learning, deep learning, and computer vision” at Carmel College, Muhamma, held on 22^nd Jan 2022.
• Resource person for the workshop on “Machine Learning Using Python” organized by the Department of Computer Science, University of Kerala, Kariavattom Campus, held on 19 June 2023.
• Resource Person for  “Unveiling Artificial Intelligence with Python” workshop at Model Polytechnic, Karunagappally, on 20^th September 2023.

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  • • ‘A Deep Neural Network Architecture for Lung Cancer Detection upon Feature Extraction using Transfer Learning’ - 4^th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2022), -Department of Computer Science & Engineering Maulana Azad National Institute of Technology (NIT) Bhopal (Madhya Pradesh)19^th – 20^th January 2023.
    • ‘Lung Cancer Classification Using Fine-Tuned VGG16’- Best Paper Award-International Conference on Emerging Computational Intelligence (ICECI-2023)- Department of Computer Science- Aligarh Muslim University, Aligarh- Scopus- 11^th -12^th February 2023.
    • ‘Lung Cancer Malignancy Detection Using Voting Ensemble Classifier’- 2^nd IEEE International Conference on Computational Systems and Communications-(IEEE ICCSC-2023)- LBSITW- 3^rd-4^th March 2023.

• • Published a paper entitled "An eXplainable machine learning framework for predicting the impact of pesticide exposure in lung cancer prognosis", Journal of Computational Science, Elsevier (ISSN:1877-7503), Volume. 84, 102476, January 2025. (Impact Factor:3.1), Scopus, SCIE .
  • Published a paper entitled "Novel CEFNet framework for lung disease detection and infection region identification," Biomedical Signal Processing and Control, Elsevier (ISSN:1746-8094), Vol. 96, Part A, Page:106624, July 2024.(Impact Factor:4.9), Scopus, SCIE .
  • Published a paper entitled ‘ExtRanFS: An Automated Lung Cancer Malignancy Detection System Using Extremely Randomized Feature Selector’ in MDPI, Diagnostics, Diagnostics 2023(ISSN 2075-4418), Volume 13, Issue 13. Scopus, SCIE. Impact Factor: 3.992 (2021); 5-Year Impact Factor: 4.129 (2021).
  • Published a paper entitled ‘Analysis and Classification of Cryptanalytic attacks in a High-Risk Network using Honeypot’ in International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) in Volume 6, Issue 2, Pages-247-250, March-April-2020, ISSN:2456-3307, UGC Journal No: 64718, Impact Factor-4.032.
  • Published a paper entitled ‘Predictive Disease Modelling of Differentially Private Health Data’ in the International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) in Volume 6, Issue 2, Pages- 139-140, March-April-2020.ISSN:2456- 3307, UGC Journal No: 64718, Impact Factor-4.032.
  • Published a paper entitled ‘Secure Jaunt– Implementation of Honeypot In VANET’ in the International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) in Volume 6, Issue 1, Pages-170-174, January-February-2020.  ISSN:2456-3307, UGC Journal No: 64718, Impact Factor-4.032.
  • Published a paper entitled ‘Integration of Cassandra and Spark in Computer Aided Drug Design’ in the International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT) in Volume 7, Issue 1, Pages- 68-73, January-February-2021. ISSN:2456-3307, UGC Journal No: 64718, Impact Factor-6.135.
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