Academic Profile of Prof. ABHISEK SAHA
Academic Profile of Prof. ABHISEK SAHA
ABHISEK SAHA
Assistant Professor,
Computer Science & Business Systems Department

ACADEMIC QUALIFICATION:
Ph.D.: Pursuing from Indian Institute of Information Technology, Kalyani
Post Graduate: M.Tech in Computer Science & Engineering [2009], from MAKAUT (formerly WBUT)
Under Graduate: B.Tech in Computer Science & Engineering [2006],from MAKAUT (formerly WBUT)

TOTAL EXPERIENCE: 15 Years

Linkedin: https://www.linkedin.com/in/abhisek-saha-b5ab40111/
Official eMail Id: abhisek.saha@nsec.ac.in
Professional Experience:
Assistant Professor of Computer Science & Business Systems department at “Netaji Subhash Engineering College”, from February 07, 2023 -till date
Worked as “Assistant Professor” of Computer Science & Engineering department of “MCKV Institute of Engineering”, 243 G. T. Road (N), Liluah Howrah – 711204, from 27th July, 2012 to 6th February, 2023.
Worked as "Assistant Professor" of Computer Science & Engineering department of “Calcutta Institute of Engineering & Management”, 24/1A, Chandi Ghosh Road, Kolkata-700040 from 26th May, 2008 to 26th July, 2012.


Awards & Honors Received:
Qualified UGC NET 2018 in Computer Science & Application


Research Areas:
Steganography, Soft computing,Machine Learning, Deep Learning in the field of Agriculture


COURSES UNDERTAKEN:
Undergraduate: Programming for Problem Solving
Data Structures & Algorithms
Database Management Systems
Compiler Design
Object Oriented Programming Using Java
Big Data Analytics
Distributed DBMS
Operating Systems
IT workshop Using Python
Postgraduate: Advanced Database Management System
Cryptography & Network Security


List of Publication of Conference Proceedings:
“Image Steganography using 24-Bit Bitmap Images”. Issue Date: 22-24 Dec. 2011 On page(s): 56 - 60 Location: Dhaka, Bangladesh Print ISBN: 978-1-61284-907-2 Digital Object Identifier: 10.1109/ICCITechn.2011.6164873 Date of Current Version: 09 March 2012
“Signature Hiding and Recovery in a Graph Coloring Solution using Modified Genetic Algorithm”. Issue Date: 22-24 Dec. 2011 On page(s): 50 - 55 Location: Dhaka, Bangladesh Print ISBN: 978-1-61284-907-2 Digital Object Identifier: 10.1109/ICCITechn.2011.6164872 Date of Current Version: 09 March 2012
Last Updated on 2024-02-27 22:21:14