Mr. Bishal Saha

Assistant Professor

Rating
4.8
Reviews
18
Share

Brief Profile

Bishal Saha is an experienced academic professional with a strong computer science and engineering background. Currently pursuing a Ph.D. at NIT Jalandhar, he has expertise in Machine Learning, Deep Learning, and Artificial Intelligence. His teaching experience spans various prestigious institutions, and he has guided students in Python Programming, Operating Systems, Machine Learning, and Generative AI. Additionally, he has an active research portfolio with multiple publications in reputed journals and conferences.

Machine Learning, Deep Learning, Artificial Intelligence

B. Almuhaya, B. Saha, M. Kaur, M. A. Bazel and R. Mohammed, "Comparative Analysis of Machine Learning Algorithms for Arabic Sentiment Analysis on Imbalanced Social Media Data," 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 2024, pp. 1362-1367, doi: 10.1109/ICETSIS61505.2024.10459389.
B. Almuhaya, R. Mohammed, A. Mohammed and B. Saha, "Malaria Detection Using Convolutional Neural Networks: A Comparative Study," 2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA), Taiz, Yemen, 2023, pp. 1-8, doi:10.1109/eSmarTA59349.2023.10293488.
B. Almuhaya, B. Saha and M. A. Bazel, "Advances in Feature Extraction for Brain Cancer Analysis: A Review of Traditional, Machine Learning, and Deep Learning Approaches," 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), Manama, Bahrain, 2024, pp. 1353-1361, doi: 10.1109/ICETSIS61505.2024.10459674.
B. Almuhaya, B. Saha, M. A. Bazel, R. A. A. Mohammed, A. A. A. Mohammed and E. Esmail, "Imaging Modalities in Brain Cancer Detection and Diagnosis," 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA), Sana'a, Yemen, 2024, pp. 1-6, doi:10.1109/eSmarTA62850.2024.10638836.

Scopus ID / Google Scholar ID

ORCID ID

Microsoft Certified: Azure AI Engineer Associate – Microsoft (March 2025)
Microsoft Certified-AI Azure Fundamentals – Microsoft (Feb 2025)
Generative AI with Large Language Models – Coursera (Jan 2024)
Transformer and BERT Model & Attention Mechanism - Coursera (Jan 2024)
Advanced Learning Algorithms – Coursera (July 2023)
Supervised Machine Learning: Regression and Classification – Coursera (May 2023)