Academic Profile of Prof. Saikat Bandopadhyay
Saikat Bandopadhyay
Assistant Professor,
Artificial Intelligence & Machine Learning Department
ACADEMIC QUALIFICATION:
TOTAL EXPERIENCE: 7 Years
Official eMail Id: saikat.bandopadhyay@nsec.ac.in
Assistant Professor,
Artificial Intelligence & Machine Learning Department
ACADEMIC QUALIFICATION:
Post Graduate: M. Tech, MAKAUT
Under Graduate: M. Tech, MAKAUT
TOTAL EXPERIENCE: 7 Years
Official eMail Id: saikat.bandopadhyay@nsec.ac.in
Professional Experience:
Professional Society Membership:
No of Journal Paper Published: 2
No Conference Paper Published: 3
Research Areas:
No. of M.Tech/MBA/MCA Final Year Projects Handled: 3
No. of B.Tech/BBA/BCA/B.Sc. Final Year Projects Handled: 8
No. of Innovative Projects Handled: 1
Areas of Innovative Projects Handled:
COURSES UNDERTAKEN:
List of Publication of Journals Papers:
List of Publication of Conference Proceedings:
Assistant Professor at Netaji Subhas Engineering College
2023 - till date
Assistant Professor at Heritage Institute of Technology 2018 - 2023
System Engineer at Tata Consultancy Service 2016 - 2018
Assistant Professor at Heritage Institute of Technology 2018 - 2023
System Engineer at Tata Consultancy Service 2016 - 2018
Professional Society Membership:
Member of IEEE
No of Journal Paper Published: 2
No Conference Paper Published: 3
Research Areas:
Machine Learning, Brain Signal Processing, Brain Computer Interface
No. of M.Tech/MBA/MCA Final Year Projects Handled: 3
No. of B.Tech/BBA/BCA/B.Sc. Final Year Projects Handled: 8
No. of Innovative Projects Handled: 1
Areas of Innovative Projects Handled:
Virtual Reality
COURSES UNDERTAKEN:
Undergraduate: Deep Learning, Machine Learning Application, Artificial Intelligence, Design and Analysis of Algorithm
List of Publication of Journals Papers:
1. Saha, Sujay & Bandopadhyay, Saikat & Ghosh, Anupam. (2020). Identifying the degree of genetic interactions using Restricted Boltzmann Machine—A study on colorectal cancer. IET Systems Biology. 15. 10.1049/syb2.12009.
2. Saha, Sujay & Ghosh, Anupam & Bandopadhyay, Saikat & Nath, Kashi. (2019). Missing value imputation in DNA microarray gene expression data: a comparative study of an improved collaborative filtering method with decision tree based approach. International Journal of Computational Science and Engineering. 18. 130-139. 10.1504/IJCSE.2019.10019160.
2. Saha, Sujay & Ghosh, Anupam & Bandopadhyay, Saikat & Nath, Kashi. (2019). Missing value imputation in DNA microarray gene expression data: a comparative study of an improved collaborative filtering method with decision tree based approach. International Journal of Computational Science and Engineering. 18. 130-139. 10.1504/IJCSE.2019.10019160.
List of Publication of Conference Proceedings:
1. Bandopadhyay, Saikat & Nag, Srijan & Saha, Sujay & Ghosh, Anupam. (2020). Identification of Major Depressive Disorder: Using Significant Features of EEG Signals Obtained by Random Forest and Ant Colony Optimization METHODS. 65-70. 10.1145/3396474.3396480.
2. Saha, Sujay & Bandopadhyay, Saikat & Ghosh, Anupam & Dey, Kashi. (2016). An Ensemble Based Missing Value Estimation In DNA Microarray Using Artificial Neural Network. 10.1109/ICRCICN.2016.7813671.
3. Saha, Sujay & Ghosh, Anupam & Bandopadhyay, Saikat & Dey, Kashi. (2016). An improved fuzzy based approach to impute missing values in DNA microarray gene expression data with collaborative filtering. 10.1109/ICACCI.2016.7732161.
2. Saha, Sujay & Bandopadhyay, Saikat & Ghosh, Anupam & Dey, Kashi. (2016). An Ensemble Based Missing Value Estimation In DNA Microarray Using Artificial Neural Network. 10.1109/ICRCICN.2016.7813671.
3. Saha, Sujay & Ghosh, Anupam & Bandopadhyay, Saikat & Dey, Kashi. (2016). An improved fuzzy based approach to impute missing values in DNA microarray gene expression data with collaborative filtering. 10.1109/ICACCI.2016.7732161.
Last Updated on 2024-01-09 01:50:58