About
I am a final-year undergraduate student in Electrical and Electronic Engineering at the University of Dhaka and a member of the Microsystems and Nanoengineering Lab. I like building hardware from schematic to working board, with a focus on power electronics and embedded systems.
I have co-authored two peer-reviewed papers: MAST-CloudNet, an IoT-enabled acoustic trap with real-time AI surveillance of Aedes mosquitoes (IEEE Transactions on Instrumentation and Measurement, 2026), and a review of power conversion technologies for decarbonizing drilling rig operations (Results in Engineering, 2026).
Alongside research, I design and build DC-DC converters (buck, boost, SEPIC, push-pull, phase-shifted full bridge) with custom PCBs and firmware on STM32, RP2040, ESP32 and AVR platforms. I am currently working on further projects in power electronics and instrumentation, and I am interested in graduate study in this area.
Skills
- Power electronics: Buck (single and three-phase), boost, SEPIC, buck-boost, push-pull, phase-shifted full bridge (PSFB), full bridge, solar MPPT
- PCB design: EasyEDA Pro
- Microcontrollers: STM32 (F103, F411, G431, G471), RP2040, ESP32 family (ESP32, S2, S3, C3, P4, ESP8266), AVR (ATmega328P and others, ATtiny), PY32F002, CH32V (V003, V203, M007)
- Programming: Python, MATLAB, Arduino, assembly (8086, AVR); basic C++, Java, C#
- Simulation and CAD: LTspice, MATLAB Simulink, Proteus, AutoCAD, FreeCAD, Blender
- Linux: Armbian, OpenWrt, Kali, Parrot, CachyOS
Projects
Current Research
MAAS-IoT: Scalable IoT-Based Multimodal Capture and Detection System for Real-Time Aedes Surveillance and Early Dengue Warning
Recent publications
MAST-CloudNet: IoT-Enabled Acoustic Trap With Real-Time AI Surveillance of Aedes
Dengue fever poses a growing public health threat, necessitating enhanced vector surveillance focused on Aedes aegypti. While recent efforts integrate artificial intelligence (AI) and Internet of Things (IoT) into traditional traps (Biogents…