Department of Electrical and Computer Engineering

Clarkson University, NY, USA

Year: January 2020 - Current

Responsibilities:

• Robust Contactless Fingerprint Processing Tool


• Developed deep learning-based object segmentation models capable of detecting contactless fingerprints. Developed a new large-scale dataset of contactless slap fingerprints. Evaluated and quantified the performance of the proposed fingerprint segmentation algorithms using Verifinger SDK.


• Road health assessment using deep learning


• Developed deep learning-based image analysis models capable of detecting, classifying, quantifying, and segmenting cracked regions in real-world road images. A two-stage hybrid deep learning architecture is used in this project. The first stage is responsible for detecting and classifying road cracks and the second stage measures the cracks and segments them.


• Detection of Over-Rotated Biometric Images and Incorrect Labeling of Fingerprints


• Developed deep learning-based object segmentation models capable of detecting and segmenting over-rotated objects, such as fingerprints, humans, and cars. Mitigated the negative effects of over-rotation fingerprints on the performance of different commercial fingerprint matcher such as the Verifinger matcher.


• Robust biometrics recognition and template security with multiple modalities


• Improved the performance of fingerprint recognition algorithms and developed evaluation test harness for assessing template security software.


• Fingerprint Segmentation for Juveniles and Adults


• Developed new fingerprint segmentation models capable of effectively processing both adult and juvenile fingerprints using deep learning. Improve the performance of a deep-learning-based fingerprint segmentation system by solving object over-rotation problems


• Fingerprint Template Security


• Developed a test harness for assessing a template security scheme. Evaluated a fingerprint recognition system, developed by a well-known technology company, using a large database of fingerprints and improved up to 20% recognition accuracy.


• Software for Marty Robot


• Developed test harness for testing the Marty OS (ROS-based). Evaluated the current performance of the OS (Robot operating system), improved localization problem, and proposed a deep learning-based grocery hazard recognition system.


• Samsung SHealth and Iotivity project


• Improved a machine learning technique (K-means) to categorize apps for user recommendations. Designed and developed the Device to Device (D2D) communication, cloud communication, and security test system of the IoTivity framework. Designed, and implemented the build system in an IoTivity test project.

Badger Technologies

350 E Brannon Rd, Nicholasville, KY, USA

Year: July 2020 - August 2020

Responsibilities:

• Deploy deep learning on autonomous robots in the ROS environment.


• Developed an experiment to test the operating system of Marty Robot.

Semicon PVT. LTD

Dhaka, Bangladesh

Year: January 2013-February 2013

Responsibilities:

• Develop mobile applications for managing IT systems.

Department of Electrical and Computer Engineering

Clarkson University, NY, USA

Year: August 2018 - December 2019

Course Names:

[Fall-2018 & Fall-2019]: EE 262: Introduction to Object-Oriented Programming and Software Design

[Spring 2019]: EE 260/360: Embedded Systems/Microprocessors

Responsibilities: Lab Instructor and Grader

Grading quizzes, programming assignments, homework, and exams, as well as offering additional support to students outside of regular class hours.

Samsung R&D Institute

Dhaka, Bangladesh

Year: September 2013 - July 2018

Responsibilities:

• Designed and developed the build systems for the IoTivity framework.


• Developed different APIs for the Iotivity and Samsung SHealth framework.


• Evaluated the performance of Device to Device (D2D) Communication, Cloud Communication, and Security system of the IoTivity project.


• Designed and developed background API for IoT automatic test software, different web application, and robot automation test cases.


• Developed test app (C++, Java) based on IoTivity device communication and security protocol.


• Designed and implemented auto code coverage framework for quality assurance of IoTivity project.


• Designed and implemented memory leak tools for the IoTivity project.