Faculty Details
Dr. Saharul Alom Barlaskar
Assistant Professor- I Department of Artificial Intelligence (AI) & Data Science (DS)
- Ph.D. in Electronics & Communication Engineering, NIT Silchar, Assam, 2024
- M.Tech in Communication & Signal Processing Engineering, NIT Silchar, Assam, 2016
- B.Tech in Electronics & Communication Engineering, NERIST, Itanagar, 2013
- Assistant Professor, Barak Valley Engineering College, Assam — Teaching Faculty (08 years, 2017–2025)
- Laboratory Engineer, National Institute of Technology, Silchar — Research & Development (01 year, 2013–2014)
- Area of Interest: Artificial Intelligence and Machine Learning
- Area of Expertise: Signal Processing, Communication Engineering
- Area of Research: Image Processing, Digital Image Watermarking, Speech Processing, Speaker Verification, Voice Biometrics
- A robust digital image watermarking technique in LWT-DCT domain using particle swarm optimization and statistical distortion correction (2024) — S A Barlaskar, A M Kirupakaran, R H Laskar, and T Khan, Multimedia Tools and Applications
- Human Visual System-Based Blind Image Watermarking Scheme in the IWT-APDCBT Domain Integrating Geometric and Non-Geometric Distortion Correction Techniques (2023) — S A Barlaskar, A M Kirupakaran, and R H Laskar, Arabian Journal for Science and Engineering
- Genetic algorithm based optimized watermarking technique using hybrid DCNN-SVR and statistical approach for watermark extraction (2022) — S A Barlaskar, S V Singh, A M Kirupakaran, and R H Laskar, Multimedia Tools and Applications
- Design of a two-stage ASCII recognizer for the case-sensitive inputs in handwritten and gesticulation mode of the text-entry interface (2024) — A M Kirupakaran, K S Yadav, N Saidulu, S A Barlaskar, and R H Laskar, Multimedia Tools and Applications
- Design and development of an integrated approach towards detection and tracking of iris using deep learning (2024) — A Naseem, K S Yadav, A M Kirupakaran, S A Barlaskar, R H Laskar, and A Hossain, Multimedia Tools and Applications
- Colour image watermarking in the fusion of LWT and Tensor-SVD domain in digital image watermarking framework (2023) — S. A. Barlaskar, M. Islam, N. Ahmad, A. M. Kirupakaran, R. H. Laskar, and T. Khan, Wiley CRC Press
- Lifting wavelet domain based watermarking technique using SVM (2023) — M. Islam, S. A. Barlaskar, S. Debnath, A. Roy, and R. H. Laskar, Wiley CRC Press
- Impact in the performance measures for watermark specific embedding on a hybrid digital image watermarking framework (2024) — S. A. Barlaskar, A. M. Kirupakaran, A. Hussain, M. Aktar, R. H. Laskar, T. Khan, and N. Ahmad, Atlantis Press
- Imperceptibility and robustness study in different transform domain for copyright protection in digital image watermarking in hybrid SVD-domain (2023) — S A Barlaskar, A M Kirupakaran, N Ahmad, K S Yadav, T Khan, and R H Laskar, AISP-2023, IEEE
- Eye detection using Faster-RCNN (2023) — A Naseem, A M Kirupurakaran, S A Barlaskar, K S Yadav, R H Laskar, and A Hossain, TENSYMP, IEEE
- A holistic approach towards detection, tracking, and recognition of face (2022) — K S Yadav, N Ahmad, S A Barlaskar, N Saidulu, and R H Laskar, SPICES, IEEE
- Recognition of isolated characters across different input interfaces using 2D DCNN (2021) — K S Yadav, A M Kirupuranam, S A Barlaskar, N Ahmad, R H Laskar, & M. K Bhuyan, TENCON, IEEE
- An analysis of Transfer Learning Model for Deep Neural Network-based Automated Brain Tumor Diagnosis from MR Images (2024) — Hussain, A., Pothuraju, C.S., Barlaskar, S.A. and Laskar, R.H, SIPCOV-23, IEEE
- Study on the varying degree of speaker identity information reflected across the different MFCCs (2016) — S A Barlaskar, M A Laskar, N Shome, and R H Laskar, ICICT-2016, IEEE
- Significance of frame size and frame shift on vowel onset point detection (2016) — S Nirupam, S A Barlaskar, and R. H. Laskar, RTEICT-2016, IEEE
