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Associate Research Lead

Md. Sajjad Hossen

Electrical and Electronic Engineer

Jatiya Kabi Kazi Nazrul Islam University

Academic Session: 2017-18

About

Md. Sajjad Hossen is an Electrical and Electronic Engineer and researcher with experience in robotics, GNSS/RTK, visual-inertial odometry, human activity recognition, machine learning, and industrial automation. Professionally, he has worked as an Industrial Engineer in smartphone manufacturing at vivo, focusing on R&D process development, production layout optimization, new model assembly processes, testing equipment, and manufacturing cost optimization. He also served as an Associate Research Lead at Advanced System Lab, JKKNIU, contributing to GNSS, SLAM, sensor fusion, and activity-recognition research projects.

Research Interests

Robotics, Computer Vision, RTK GNSS, Precession Positioning, Human Activity Recognition

Education

  • B.Sc. (Eng) in Electrical and Electronic Engineering

Jatiya Kabi Kazi Nazrul Islam University (JKKNIU), Mymensingh, Bangladesh Jan 2018 – Dec 2021

  • Higher Secondary School Certificate, Science

M.E.H. Arif College Jul 2015 – Jul 2017

Research Experience

Research experience in GNSS/RTK positioning, Visual-Inertial Odometry (VIO), Human Activity Recognition (HAR), robotics, and machine learning. Contributed to research involving low-cost dual-frequency GNSS validation, VIO-based activity recognition datasets, real-time SLAM, and intelligent sensing systems.

Publications

5

Projects

Selected research and technical projects.

  1. vioHAR Real-time Prediction: Integrated vins-mono, rosbag, and a custom HAR (Human Activity Recognition) model into a unified ROS package to enable real-time activity prediction, with results displayed through a web interface.
  1. VINS-Auto-Launcher: Built a ROS package to automate the full VINS-Mono pipeline by combining rosbag playback, odometry recording into a single launch workflow.
  1. PLC Programming & Industrial Automation: Completed 30+ automation projects at Ulterior Engineering Int., gaining hands-on expertise in PLC programming (Siemens S7-1200, Delta PLC), VFD configuration (Delta, HNC, Siemens), HMI design, motion control (stepper/servo motors, PID), and instrumentation. Skilled in troubleshooting and optimizing complex industrial systems for high performance.
  1. Automatic Plant Irrigation System: Developed an embedded system project that utilized moisture sensors to measure soil moisture levels, providing a cost-effective solution for automating plant irrigation.

Awards & Achievements

Selected academic, research, and professional achievements.

Session Best Paper: 6th Annual Paper Meet Electrical Engineering Division (APMEE - 2025) Project under ASL-JKKNIU titled “Development of Low-Cost Real-Time Kinematic GNSS System for Precise Positioning in Bangladesh” has been recognized as the session best paper on the conference of 6th Annual Paper Meet Electrical Engineering Division (APMEE - 2025) organized by the Institute of Engineers Bangladesh (IEB).

Skills & Expertise

Robotics & ROS, SLAM and Visual-Inertial Odometry, GNSS/RTK, Sensor Fusion, Human Activity Recognition, Machine Learning, Industrial Automation, PLC Programming, Embedded Systems, MATLAB/Python, Data Analysis, and Academic Research.