Md. Samiul Islam Sagar

Mobile: 360-***-**** Email: ad32wy@r.postjobfree.com LinkedIn: http://www.linkedin.com/in/msi-sami

SUMMARY

Professional experience of 3 quarters in digital healthcare system; achieved a milestone of providing preventive healthcare support to 0.2 million people throughout the nation with 2 national level awards.

4+ years of academic research experience with 10 high impact scholarly research articles in the field of data analysis, pattern recognition, computer vision, embedded systems, automation, 5G communication, antenna design, and Clean Room (class 100) based device fabrication. (Google Scholar profile)

Contributed to student engagement to engineering programs through 4 technical clubs during undergrad and graduate period, as well as volunteering the underserved community inclusion programs by iEngineer.

PROFESSIONAL EXPERIENCE:

Washington State University August 2021 to May 2023

Graduate Research and Teaching Assistant

Vancouver, WA

Developed machine learning model for gas sensor drift compensation and reviewed 5 years of previous research on gas sensing system and electromagnetics; accumulated in 2 review articles published in reputed journals.

Designed and fabricated 4 flexible and 3 rigid ultra-wideband antennas using inkjet printing and milling technology, resulting in 7 high impact research articles.

Fabricated a high temperature tolerant antenna from 3-mole Yttria stabilized Zirconia substrate using Cleanroom based fabrication processes, which is also published in a reputed journal.

Directed 2 undergrad students in research procedures and gave training on inkjet printing technology.

Assisted professors in 3 undergrad and 1 graduate level courses with classes and lab management.

CMED Health Ltd. February 2021 to July 2021

Junior Data Analyst

Dhaka, Bangladesh

Analyzed big data of public health from 0.2 million people to determine important biomarkers for acute diseases and provide preventive care for individuals.

Completed annual report for the year 2020 accumulating, segmenting, and visualizing data from 64 districts nationwide based on age groups, gender, household income, and yearlong health data.

Preparing presentations of progress, funding, and support from non-government organizations.

AIMS Lab November 2020 to January 2021

Research Engineer

United International University, Dhaka, Bangladesh

Leading the project Bolte Chai; an augmentative and alternative communication (AAC) technology supporting nonverbal children.

Directed the app developer team in designing effective mobile platforms according to the insights found by interviewing teachers and parents of verbally challenged children.

Assisted in managing government and international funds to support the project.

Assisted in nationwide recognitions, resulted in 2 national level awards.

Achievements: BASIS National ICT Awards 2020, Bangladesh Innovation Award 2021.

SKILLS:

Programming: Fluent in Python, MATLAB, C/C++, R, and Web scripting.

Mathematics: Proficiency in Finite Element Analysis (FEA), Optimization, and Probability analysis.

Software and Electronics: Data analysis, Data manipulation, Data augmentation, Pattern recognition, Computer vision, Statistical analysis, Machine learning, Artificial Intelligence, AutoCAD, SolidWorks, Embedded systems.

Soft Skills: Communication: Fluent in English and Bengali, Cross-functional collaboration, Work ethic, Analytical skill, Emotional intelligence, Critical thinking, Positive attitude.

EDUCATION

Washington State University May 2023

Master of Science in Electrical Engineering

Vancouver, WA

CGPA: 4.00 out of 4.00

Related coursework: Power system economics and Electricity markets; Experimental methods of EE; Computational mathematics: FEA.

Khulna University of Engineering and Technology March 2019

Bachelor of Science in Electrical and Electronics Engineering

Khulna, Bangladesh

CGPA: 3.57 out of 4.00

Related coursework: Data structures and algorithms; Digital signal processing; Digital Image processing; Microprocessor, microcontroller, and peripherals.

PROJECTS:

Data Augmentation based Supervised Extreme Learning Machine for Drift Compensation in Gas sensor systems: An augmented Convolutional neural network (CNN) using Pytorch to extract neighborhood features from sensor data to ameliorate the drift condition of E-nose based gas sensing systems.

Significance Analysis using ANOVA: The significance of the features in case of sensor drifting occasion has been investigated using ANOVA as a course requirement. The ANOVA provided important information about the significance changes of different features during the sensor drifting event.

Power Flow Optimization: A Gurobi based power flow optimization project for extended loading condition for future load expansion has been done as a course requirement. The project provided the optimal solution for a standard IEEE 6 bus system in case of future load expansion scenario.

PUBLICATIONS:

1.Md Samiul Islam Sagar, Noah Riley Allison, Harikrishnan Muraleedharan Jalajamony, Renny Edwin Fernandez, and Praveen Kumar Sekhar. "Review–Modern Data Analysis in Gas Sensors." Journal of The Electrochemical Society 169, no. 12 (2022): 127512.

2.Md. Samiul Islam Sagar, Hassna Ouassal, Asif I. Omi, Anna Wisniewska, Harikrishnan M. Jalajamony, Renny E. Fernandez, and Praveen K. Sekhar. 2021. "Application of Machine Learning in Electromagnetics: Mini-Review" Electronics 10, no. 22: 2752. https://doi.org/10.3390/electronics10222752

3.Md Mostafizur Rahman Komol, Md Samiul Islam Sagar, Naeem Mohammad, Jack Pinnow, Mohammed Elhenawy, Mahmoud Masoud, Sebastien Glaser, and Shi Qiang Liu. 2021. "Simulation Study on an ICT-Based Maritime Management and Safety Framework for Movable Bridges" Applied Sciences 11, no. 16: 7198. https://doi.org/10.3390/app11167198

4.Sourin Dey, Md Samiul Islam Sagar, and Md Ashraful Alam. "Region Based Convolutional Neural Network for Smart Driving Monitoring System." In 2019 5th International Conference on Advances in Electrical Engineering (ICAEE), pp. 555-559. IEEE, 2019. (Venue: Bangladesh).

CONFERENCE PRESENTATIONS:

Optimization Planning of Charging stations for Future Electric Vehicles Utilizing Dual Model Machine Learning, ASCE International Conference on Transportation & Development, 2022.

Navigation Control Scheme for Movable Bridge Using IoT Based Ship to Bridge Vehicle Communication, ASCE International Conference on Transportation & Development, 2022.

Riot Perception and Safety Navigation of Autonomous Vehicles using Deep Reinforcement Learning, ASCE International Conference on Transportation & Development, 2022.

Machine Learning based Correlation Determination among Fuel Economy Factors in Transportation Systems, ASCE International Conference on Transportation & Development, 2022.

EXTRA-CURRICULAR ACTIVITIES:

General Secretory of KUET Math Club, arranging Math Olympiads and managing club activities throughout the year.

Mentor of EEE Makers’ Hub of KUET, arranging different technical skill based workshops and mentoring them.

Office Secretary on IRAS, KUET, arranging different research and innovation based workshops and mentoring them.

Class Representative for 3 terms (of 8 terms in total BSc program).

Regular blood donor of DREAM, a voluntary club for blood donation of KUET.

ONLINE CERTIFICATIONS:

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by deeplearning.ai on Coursera.

Machine Learning by Andrew Ng from Stanford University on Coursera.

Neural Networks and Deep Learning

The Unix Workbench on Coursera.

Sequence Models by deeplearning.ai on Coursera.

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by deeplearning.ai on Coursera.

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