Md. Anowar Hossain

Actively seeking opportunities for MS/Ph.D. as a Graduate Research Assistant (GRA) in Embedded Systems, Robotics, Machine Learning, AI, Autonomous Vehicles, IoT, Biomedical Engineering and Smart Healthcare.

Anowar's Curriculum Vitae 

Career Summary:

• Empac College of Technology, Lecturer, 01/11/2022- 30/03/2023.

• Chittagong University of Engineering and Technology (CUET), Assistant Technical Officer, 01/04/2021- 28/02/2022.

• Chittagong University of Engineering and Technology (CUET), Research Assistant, 15/05/2019- 14/03/2021.

• Karnaphuli Industries Limited, Research Engineer, 01/04/2020-30/12/2020.

• Jontro-Tantrik Lab (Technical Training Centre and R&D Lab) , Founder, Research & Development Engineer, From 09/2016 – Present. (Part-Time)

• Kajitech BD, Research & Development Engineer, From 01/02/2015 -28/03/2019. (Part-Time)

Technical Skills

Programming Languages: C, C++, XML, Python.

Machine Learning: Fundamental Knowledge of Scikit-Learn, Matplotlib. 

Data Science: Fundamental Knowledge of Pandas, Seaborn, Numpy.
Electronics & PCB Tools: Proteus, PicKit, KiCAD, Eagle, EasyEDA.
IDE & Tools: Arduino IDE, MikroC, Jupyter, Spyder, Pycharm, Latex, MATLAB.

Hardware: Embedded Systems, IoT, Robotics, Healthcare Devices.

Embedded OS: FreeRTOS. 

Official Programs: Microsoft Office (Word, Excel, PowerPoint).

Practical Working

Hardware: 

Microcontroller (PIC, AVR), Arduino, NodeMCU, ESP-8266, ESP-32, Raspberry Pi.

Communication Device:

GSM Module, GPS Module, Wi-Fi Module, Bluetooth Module, RF Module.

Sensor:

Temperature Sensor (LM-35, DS18B20, MLX-90614), Temperature and Humidity Sensor (DHT-11, DHT-22), Barometric Pressure Sensor (BMP-180, BMP-280), Differential Pressure Sensor (MPXV5050DP), Gas Sensor(MQ-2, MQ-5, MQ-6, MQ-7,  MQ-135), Alcohol Sensor (MQ-3), Formalin Sensor, Flame Sensor, IR Sensor, PH Sensor, Moisture Sensor, Photodiode, Current Sensor (ACS712, Non-Invasive AC Current Sensor), Voltage Sensor, Hall Effect Sensor, Touch Sensor, ECG, EOG, EMG, Float Sensor, Ultrasonic Sensor, PIR Sensor, Force Sensitive Resistor (FSR), Light Dependent Resistor(LDR), VOC Sensor, CO2 Monitoring Sensor, Turbidity Sensor, TDS Sensor, Piezo Sensor, Vibration Sensor, Accelerometer Sensor(ADXL-335, ADXL-345), Gyroscope, Sound Sensor, Pulse Sensor, Rain Sensor, Water Sensor, Pulse Oximeter Sensor (MAX30100, Max30101, MAX30102, MAX30105), Fingerprint Sensor, Flex Sensor, Fuel Level Sensor, Biohub Sensor Max32664.

Teaching Experience:

• Computer Control Systems & Robotics (Theory+Lab), Microprocessor Interfacing (Theory+Lab), Microcontroller & Embedded System (Theory+Lab), Microcontroller Application (Lab), Electronics Measurements (Theory+Lab), Industrial Electronics (Theory+Lab), DC Machine (Theory), Network Filters & Transmission Lines (Theory+Lab), Electrical Projects (Lab), Renewable Energy (Theory+Lab), Radio & Television Engineering (Theory+Lab), Engineering Materials (Theory) (Diploma Course at Empac College of Technology).

• Microcontroller & PLC short course (Bangladesh Navy at CUET).

• Electronics, Microcontroller, Arduino, and Robotics short course (Jontro-Tantrik Lab).

Workshop Experience:                                                                                                                          

•  RF Control Robot (Keynote speaker).

•  Artificial Intelligence and Robotics (Keynote speaker).

•  Voice and Android Apps Control Robot (Keynote speaker).

•  Workshop on PLC and Industrial Automation (Participant).

About me:

Md. Anowar Hossain is an Electrical and Electronics Engineer with over 10 years of experience in embedded R&D, mechatronics, biomedical engineering, smart healthcare, IoT, automation, and robotics. He possesses in-depth knowledge of IoT, microcontrollers, and electronics. Anowar is adaptable to new environments, ambitious, and driven by a fervent passion for innovation. He immerses himself in technical research, enjoys designing and developing new devices, and excels at generating innovative ideas.

He is deeply passionate about research and is actively pursuing a Graduate Research Assistant (GRA) role in embedded systems, robotics, machine learning, AI, autonomous vehicles, IoT, biomedical engineering, and the smart healthcare field.