Md Asif Mahmod Tusher Siddique

Md Asif Mahmod Tusher Siddique

Position
  • PhD Student
Md Asif Mahmod Tusher Siddique is a CS PhD student at ISU. He completed his master's thesis in Neuromorphic Computing, focusing on brain-inspired computational models. With professional experience in Machine Learning, he applied advanced algorithms to solve complex problems. Currently, he is working on control systems for humanoid robots, aiming to enhance movement and object manipulation. His research interests span robotics, AI, and neural network optimization.

Area of Expertise

  • Robotics
  • Machine Learning
  • Neuromorphic Computic

Education

  • M.S., Green Networking and Cloud Computing, Erasmus Mundus Joint Masters Degree
  • B.S., Computer Science and Engineering, University of Asia Pacific

Publications

  1. Islam, M.R., Siddique, M.A.M.T., Amiruzzaman, M., Abdullah-Al-Wadud, M., Masud, S.M.R.A. and Saha, A.K., 2023. An efficient technique for recognizing tomato leaf disease based on the most effective deep CNN hyperparameters. Annals of Emerging Technologies in Computing (AETiC), 7(1), pp.1-14.
  2. Siddique, M.A.M.T., Happy, N.J., Kabir, R., Milton, A.S. and Hossain, M.M., 2019, December. Tree Based EM-Prim's Algorithm For Energy Efficient Networking. In 2019 4th International Conference on Electrical Information and Communication Technology (EICT) (pp. 1-6). IEEE.
  3. Siddique M.A.M.T., Islam S., Dr. Kor A.H, Happy N.J., Kabir R., 2023, Towards Sustainable AI: Investigating Energy Efficiency and Emissions in Deep Learning Optimizers, In 6th Intl. Conf. on Imaging, Vision and Pattern Recognition (IVPR) and 11th Intl. Conf on Informatics, Electronics & Vision (ICIEV)