Fullname: Dr. Mohammad Nishat Akhtar
Education Background:
B.E Computer Science Engineering, (VTU, India)
MSc , Electrical and Electronic Engineering (Universiti Sains Malaysia, USM)
PhD Electrical and Electronic Engineering, Image Processing (Universiti Sains Malaysia, USM)
Research Background:
Dr. Mohammad Nishat Akhtar received his B.E in Computer Science from VTU, India during the year 2010, MSc in Electrical and Electronics from Universiti Sains Malaysia during the year 2013 and PhD in the field of Parallel Image Processing from Universiti Sains Malaysia during the year 2018. Currently, He is a Lecturer at School of Aerospace Engineering in Universiti Sains Malaysia. His research interests include High Performance Computation, Image Processing, Control & Embedded Systems, System-on-Chip. Currently, He has several International Journals and International Conferences under his banner. He has been actively involved as a lead researcher and co-researcher in USM’s research grant project. He has imparted several programming based training to internship students and technicians. In this regard, Dr. Mohammad Nishat Akhtar also serves as Liaison Officer for School of Aerospace Business Unit whereby He coordinates in conducting training to the employees of multinational companies. He has also been designated as one of the lead trainer for a professional certification program conducted by School of Aerospace Business Unit for the session 2022/23.
Research Interest:
· Parallel Computation and Image Processing
· Multicore Computing and Scheduling Algorithms
· Operating System and Embedded Computing
· Machine Learning and Deep Learning
Current Research:
• Image Processing Framework for River Hydro- morphology Study
• Drill Bit Wear and Tear Monitoring using Image Segmentation
• IoT Based Smart Farming
• Assessment of Adhesion Failure in Warm Mix Asphalt using Image Processing
• Rate of Crack Propagation in WMA using Image Processing
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
ResearcherID: S-7313-2018
ORCID ID: https://orcid.org/0000-0001-8592-5966
Scopus Author ID: 55065002500
Google Scholar: https://scholar.google.com/citations?user=ie7z5hQAAAAJ&hl=en
Ext: 5867
Room no: 1.16