Educational Qualification
- Pursuing PhD
- M.Tech-MG University
- B.Tech-Calicut University
Specialization:
- Computer Science and Information System
Current Research Interest:
- Machine Learning , Deep Learning
- Image Processing
- Data Mining
Administrative Responsibilities:
- Women Cell – Convenor
- Computer Science Department Association In – Charge
- Class advisor – CSE A 2021-25
- FDP coordinator – Department Level
- Grace Hopper Lab -in charge
Certifications:
- Completed NPTEL online course on Cyber Security and Privacy (IITM) (Jul-Oct 2024) successfully and secured a certificate with Elite +Silver tag(Topper 1%).
- Completed NPTEL online course on Big Data Computing (IIT Kanpur) Aug-Oct 2024) successfully and secured a certificate with Elite +Silver tag(Topper 1%).
- Completed NPTEL online course on Programming in Java (IITM) (Jul-Oct 2023) successfully and secured a certificate with Elite +Silver tag.
- Completed NPTEL online course on Introduction to Machine Learning(IITM) (Jan-Apr 2023) successfully and secured a certificate with Elite tag.
- Completed NPTEL online course on Introduction to Machine Learning (IITK)(July-Sept 2021) successfully and secured a certificate with Elite tag.
- Secured Artificial Intelligence Analyst – Mastery Award 2019 Badge by IBM.
- Secured Artificial Intelligence Analyst – Explorer Award 2019 Badge by IBM.
- Completed NPTEL online course on Data Science for Engineers (Feb-Apr 2018) successfully and secured a certificate with Elite tag.
- Completed NPTEL online course on Data mining (Feb-Apr 2019) successfully and secured a certificate with Elite tag.
- Advanced computer networking from BSNL RTTC Trivandrum.
Publications:
- Jency Thomas, Resmi, N.G., Fasila, K.A., Anand, H.S. (2024). Pattern of Lung Injury in CT/HRCT Using Deep Learning Techniques. In: Sharma, H., Shrivastava, V., Tripathi, A.K., Wang, L. (eds) Communication and Intelligent Systems. ICCIS 2023. Lecture Notes in Networks and Systems, vol 969. Springer, Singapore. https://doi.org/10.1007/978-981-97-2082-8_8
- Jency Thomas, N.G.Resmi,“Computational Method of Predicting Down Syndrome on Foetus by Utilizing First Trimester Ultrasound Scan “, International Conference on Smart Computing and Communications (ICSCC-23), August 2023. IEEE Xplore. https://doi.org/10.1109/ICSCC59169.2023.10335008.
- Jency Thomas, Amrutha Sreeraj,Ayswarya Sreeraj,Megha Mary Varghese, Thomas Kuriakose, “Automatic Text Summarization Using Deep Learning and Reinforcement Leraning”, International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021),October 2021. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://dx.doi.org/10.1007/978-981-16-5157-1_60
- Amal Binoy, Eldho Shaju, George, Scaria, Gopika Chandrakumar, Jency Thomas, “Cocos nucifera Leaf Disease Detection”, 3rd International Conference on Trends in Electronics and Informatics (ICOEI 2019), (IEEE sponsored,Scopus indexed).
- Mathew Reji, Sidharth V, Renju George Varghese, Jency Thomas,”Deep Learning Based Fire Detection System”, International Journal of Knowledge Based Computer Systems 6 (1), June 2018, 18-22.
- Mariyam Angela Gogy, Jency Thomas, “Offline Messenger-For devices Out Of Direct Bluetooth Range”, IEEE ICRAECT 17 Bengaluru.
- Mariyam Angela Gogy, Jency Thomas, “Chat application for android devices within and Out Of Direct Bluetooth Range”, National symposium on Emerging Trends in Computing and Informatics (NSETCI 2016).
- Remya S, Jency Thomas, “A Novel Approach for Mixed Noise Removal using ‘ROR’ Statistics Combined WITH ACWMF and DPVM” , International Journal of Computer Applications Vol 86, No 17, pp 11-17, January2014.
- Jency Thomas, Remya S, “PLOW Filter for color image denoising”, International Journal of Computer Applications Vol 79, No 13, pp 1-7, October2013.
- Jency Thomas, Remya S, “Removal of Gaussian noise from color images – A survey”, International Conference on Information and Communication engineering 2013 , Dr. Ambedkar Institute of Technology, Bangalore.
Short Term Courses Attended/Conducted:
- Co-organizer of 5 day FDP on Addressing Open Problems in Medical Domain through Artificial Intelligence conducted by Muthoot Institute of Technology and Science,Kochi, Jan 30 – Feb 3rd, 2023.
- Attended 5 day FDP on Artificial Intelligence & Machine Learning for Medical Image Analysis using Python Conducted by CMR Institute of Technology, Bengaluru, Aug 21 – Aug 25, 2023.
- Participated in the 10 day FDP on Deep Learning: Models and Use Cases Using Python organized by E&ICT Academy, NIT Warangal and IIIT Kottayam,Dec 12 – Dec 21, 2022.
- Participated in the 5 day FDP on Artificial Intelligence in Natural Language Processing conducted by Muthoot Institute of Technology and Science,Kochi, Feb 8 – Feb 12, 2021.
- Participated in the 2 day FDP on Teaching Learning Process by IIT Madras, June 3 – June 4, 2019.
- Participated in the 2 day workshop on NBA Accreditation Process for UG Tier II Engineering Program conducted by Muthoot Institute of Technology and Science,Kochi, Feb 2 – Feb 3, 2018.
- Participated in the 6 day FDP on Design and Analysis of Algorithm conducted by Sahrdaya College of Engineering and Technology, Thrissur Nov 27 – Dec 2, 2017.
- Participated in the 1 day hands-on workshop on GPU/CUDA conducted by Muthoot Institute of Technology and Science,Kochi, Oct 12, 2017.
- Participated in the 2 day workshop on Machine Learning with R Programming conducted by Muthoot Institute of Technology and Science,Kochi, Aug 25 – Aug 26, 2017.
- Participated in the 1 day NPTEL workshop conducted by IIT Madras, July 20, 2017.
- Participated in the 5 day FDP on Theory of Computation conducted by Sahrdaya College of Engineering and Technology, Thrissur Nov 29 – Dec 3, 2016.
- Participated in the 6 day FDP in Research Trends in Bio-signal Processing conducted at NIT Calicut, Dec 13 – Dec 18, 2015.
- Participated in the 2 day workshop on Robotics and Embedded System conducted by Muthoot Institute of Technology and Science, Kochi, June 04 – June 05, 2015.
Professional Membership:
- Professional Member of Association for Computing Machinery
Professional Experience
