Dr. Md Abdul Alim Sheikh

About

Dr. Sheikh is an Associate Professor in the Department of Electronics & Communication Engineering (ECE), Aliah University. He received his PhD degree from Indian Institute of Technology (Indian School of Mines), Dhanbad, India and M. Tech from Jadavpur University of Electronics & Telecommunication Engineering. He is a lifetime member of Institution of Engineers (India).

Prof Sheikh's current research interests are in the areas of Signal and Image Processing, Computer Vision, Machine Learning and Deep Learning, Object extraction and Change Detection from Remote Sensing data.

EXPERTISE INFORMATION

Research Group
• Signal and Image processing
• Computer Vision, Machine Learning

Areas of Interest
• Signal and Image Processing, Computer Vision, IoT-Machine Learning, and Deep Learning
• Object Extraction and Change Detection from Remote Sensing data.

Employment

• Aliah University Associate Professor

Education

• Indian Institute of Technology (Indian School of Mines), Dhanbad PhD
• Jadavpur University Master of Technology

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A deep transfer learning and ensemble learning framework for brain tumor detection and classification in MRI images
  Discover Artificial Intelligence 2026 DOI: 10.1007/s44163-026-01080-y
  +Save
• Deep Learning Approach using Patch-based Deep Belief Network for Road Extraction from Remote Sensing Imagery
  IAENG International Journal of Applied Mathematics 2022
  +Save
• IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3164401
  +Save
• Automatic geospatial objects classification from satellite images
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1498-8_10
  +Save
• EEG signal analysis using different clustering techniques
  Advances in Intelligent Systems and Computing 2019 DOI: 10.1007/978-981-13-1498-8_9
  +Save
• A Multi-Level Approach for Change Detection of Buildings Using Satellite Imagery
  International Journal on Artificial Intelligence Tools 2018 DOI: 10.1142/S0218213018500318
  +Save
• Traffic sign detection and classification using colour feature and neural network
  2016 International Conference on Intelligent Control, Power and Instrumentation, ICICPI 2016 2017 DOI: 10.1109/ICICPI.2016.7859723
  +Save
• A Noise-Tolerant Framework for Aerial Images Classification Based on Gabor Energy Feature
  International Conference on Computers and Devices for Communication (CODEC) 2012
  +Save
• A noise-tolerant framework for aerial images classification based on Gabor energy feature
  CODEC 2012 - 5th International Conference on Computers and Devices for Communication 2012 DOI: 10.1109/CODEC.2012.6509347
  +Save
• Noise Tolerant Classification of Aerial Images into Manmade Structures and Natural-Scene Images based on Statistical Dispersion Measures
  Annual IEEE India Conference (INDICON) 2012
  +Save