Research output per year
Research output per year
Personal profile
Research interests
Deep Learning, Data Science, Astronomical Data Analysis
Experience
1. Associate Professor-GAT
2. Programmer Analyst Trainee- Cognizant
3. Lecturer- AIEMD Durgapur
4. Guest Lecturer- UIT, Burdwan
Awards and recognition:
1. Winner at National level Ideathon 2021 organized by VVCE IEEE COMPUTER SOCIETY STUDENT CHAPTER (Title: Preserving the Street Vendor tradition of India and optimizing their profit post Covid19- A Web App using Data Analytics), June 2021
2. Selection of the Project titled Care-In-A-Cup: A Solution to Tend to the Needs of Differently Abled Women at state level exhibition by KSCST and VTU
3. Winner in Paper presentation event (Title: Working with Docker: The New Industry Need) at 34th CSI Karnataka State Student Convention held at KSIT, Bangalore, December 2020
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Machine learning approaches for predicting dielectric properties of banana fibers reinforced with polypropylene composites
Mahesh, D., Raju, N. V. & Sen, S., 01-2025, In: Multiscale and Multidisciplinary Modeling, Experiments and Design. 8, 1, 71.Research output: Contribution to journal › Article › peer-review
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Analysing and predicting dielectric properties of bamboo fiber filled polypropylene composites using artificial neural network
Madhavi, S., Mahesh, D., Raju, N. V., Sen, S. & Johns, J., 2024, (Accepted/In press) In: Journal of the Indian Academy of Wood Science.Research output: Contribution to journal › Article › peer-review
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Forecasting and Analysing Time Series Data Using Deep Learning
Sen, S., Rajashekar, V. T. & Dharshan, N., 2024, Intelligent Systems - Proceedings of 3rd International Conference on Machine Learning, IoT and Big Data ICMIB 2023. Udgata, S. K., Sethi, S. & Gao, X.-Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 279-291 13 p. (Lecture Notes in Networks and Systems; vol. 728 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Interpretable Predictions for Crime Categories Using Log Loss Approach for Imbalanced Target Feature
Manasa, A. & Sen, S., 2024, Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications. Institute of Electrical and Electronics Engineers Inc., (Proceedings of InC4 2024 - 2024 IEEE International Conference on Contemporary Computing and Communications).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Investigation of Clustering Methods for SDSS Galaxy Images through Feature Extraction with VGG-16
Sen, S., Chakraborty, P., Das, S., Pandey, K. & Narayana, P., 2024, 2024 IEEE Space, Aerospace and Defence Conference, SPACE 2024. Institute of Electrical and Electronics Engineers Inc., p. 660-664 5 p. (2024 IEEE Space, Aerospace and Defence Conference, SPACE 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution