Md. Niaz Morshedul Haque is the Principal Investigator of the MNMH Laboratory at Leading University. He is currently an Assistant Professor and acting Head at the Department of Electrical and Electronics Engineering, Leading University. His research interests lie in TSCH Based Scheduling, Deep Learning, Renewable Energy Converters, Power Electronics, and Control Systems. He has supervised several research projects and published over 20 conferences and Journals in this area.
We try our best to include the work done by him and his students in the following sections.
To know more about her work, you can follow the links below:
IEEE Xplore, ResearchGate, Google Scholar, Gmail
Fig: Training Time according to the number of training samples of DNN and HG
[2] Throughput Optimization of IEEE 802.15. 4e TSCH-Based Scheduling: A Deep Neural Network (DNN) Scheme
[3] TSCH-Based Scheduling of IEEE 802.15. 4e in Coexistence with Interference Network Cluster: A DNN Approach
[4] Research Article Deep Learning-Based Scheduling Scheme for IEEE 802.15. 4e TSCH Network
[5] Smart Solar Data-Logger System
[6] Deep Learning‐Based Scheduling Scheme for IEEE 802.15. 4e TSCH Network
[8] Battery-less cost effective photo-voltaic (pv) smart grid scheme of leading university, Bangladesh
[9] Design, analysis and simulation of a solar powered DC motor using MOSFET H-bridge converter
[11] Design and Implementation of Cost Effective Inverter
[12] Design and simulation of a forcible buck-boost controlling solar powered DC motor
[15] An Efficient Solar Pumping System for Rural Areas of Bangladesh
[16] Reproductive status of crossbred heifers at Sylhet government dairy farm in Bangladesh.
[19] (124) Emergency Transport for Acute Chest Pain Patients: Does it Affect Hospital Treatment?
[20] WIRELESS SENSED INTELLIGENCE POWER SWITCHING MECHANISM FOR RESIDENTIAL LOAD