Bidhan Chandra College

Mr. Unmesh Mandal

Assistant Professor
Email: unmesh.mandal@gmail.com
Ph No.:
Web Address: https://orcid.org/0000-0003-4065-8264

Educational Qualifications

Degree	University	Year of Passing
M.Tech.	University of Calcutta	2016
M.Sc.	University of Calcutta	2014
B.Sc.	West Bengal State University	2012

Research Area

Machine Learning, Deep Learning, Time Series Prediction

Courses Taught/Teaching

B.Sc. in Computer Science

Teaching Experience (1)

Name Of The Institution	Position Held	Period
Bidhan Chandra College, Rishra	Assistant Professor	2016 - Present

Paper Published in Journal (3)

Title of the paper	Journal of publication	Year	ISSN No	Vol No.	Page Range	Issue	DOI
LinVec: A Stacked Ensemble Machine Learning Architecture for Analysis and Forecasting of Time-Series Data	Indian Journal of Science and Technology	2023	0974-6846, 0974-5645	16	570-582	8	https://doi.org/10.17485/IJST/v16i8.2197
A Password and Least Significant Bit Substitution Based Steganography Technique for Image Hiding	International Journal of Innovative Research in Computer Science & Technology (IJIRCST)	2023	2347-5552	10	1-9	5	https://doi.org/10.55524/ijircst.2023.11.5.1
Automated Facial Recognition based Attendance System using OpenCV in Python	International Journal of Scientific Research in Computer Science, Engineering and Information Technology	2023	2456-3307	9	105-111	6	https://doi.org//10.32628/CSEIT2390617

Chapter in Books (3)

Book Title	Chapter	Publisher	Year	ISBN No	DOI
AI-Driven Marketing Research and Data Analytics	TABST: A Next-Gen AI Model Unveiling Personalized Recommendations and Targeted Marketing	IGI Global	2024	ISBN13: 9798369321652 \| ISBN13 Softcover: 9798369344866 \| EISBN13: 9798369321669	https://doi.org/10.4018/979-8-3693-2165-2.ch019
Reshaping Environmental Science Through Machine Learning and IoT	Transformer Encoder-Based Deep Learning Model for Time Series Prediction: An Application to Weather Forecasting	IGI Global	2024	ISBN13: 9798369323519 \| ISBN13 Softcover: 9798369347560 \| EISBN13: 9798369323526	https://doi.org/10.4018/979-8-3693-2351-9.ch013
Advances in Computer Science (Volume - 19)	Working with Pandas (2.0.3): A Python Library	AkiNik Publications	2023	978-93-5570-934-9	https://doi.org/10.22271/ed.book.2383