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About Me

My name is Rezwan Matin. I recently graduated from Texas State University, San Marcos, TX, with a master's degree in electrical engineering. I was working under Dr. Damian Valles as a member of the HiPE research group. My research involved the use of speech data and machine learning to detect emotions in social interactions.

Currenly, I am working at Intel Corporation as a System Validation Engineer. I joined the Content At Scale team in the Austin office.

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Education

Master of Science in Electrical Engineering · December 2020

• Institution: Texas State University, San Marcos, TX, United States
• Coursework: Advanced Computer Architecture · Computer-Aided Engineering (CAE) Simulations on HPC Systems · Machine Learning for Engineering Applications · Regression Analysis · Probability, Random Variables, & Stochastic Process for Engineers
• Thesis: Speech-based emotion recognition solution for children with Autism Spectrum Disorder
• Interests: Machine Learning · Affective Computing · Natural Language Processing

Bachelor of Science in Electrical and Electronic Engineering · December 2016

• Institution: Shahjalal University of Science and Technology, Sylhet, Bangladesh
• Thesis: Material Analysis and Modeling of MEMS Based Piezoresistive Pressure Sensors

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Programming Skills

Python

I started coding in Python when I enrolled in the "Machine Learning for Engineering Applications" course at Texas State. I have worked with many libraries, like Scikit-learn, Numpy, Pandas, Matplotlib, Tensorflow, etc.

C/C++

C was the first programming language I learned. I took "Structured Computer Programming" course during my first semester at Shahjalal University. In my second year, I used C in 'Numerical Analysis'. After that, I have frequently coded in C. I recently picked up C++ when taking the course "(CAE) Simulations on HPC Systems".

R

I learned the R programming language when taking the "Regression Analysis" course at Texas State. We coded in R Studio.

HTML/CSS

I actually learned HTML and CSS for developing this site!

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Software and Environments

MATLAB

I first used MATLAB at Shahjalal University when taking the course "Signals and Systems". After that, I have used MATLAB occasionally. I also used MATLAB for my master's research, for adding controlled amounts of noise to audio signals.

Anaconda

I became familiar with Anaconda when I started learning Python. Jupyter Notebook is my IDE of choice when coding in Python. I find it to be very clean and easy to use.

GitHub

GitHub has been a great place for me to document my work and collaborate on group projects with friends.

Linux

Since Texas State's LEAP cluster has a Linux-based operating system (CentOS), I had to learn Linux commands in order to use the cluster for my projects and assignments.

OpenMP/MPI/OpenACC/CUDA

I learned these parallel computing concepts at Texas State, while taking the course "(CAE) Simulations on HPC Systems". We used Texas State's very own LEAP cluster and the HiPE servers to run our codes. I selected C++ over Fortran as my preferred programming language for this course since I was already familiar with C.

COMSOL Multiphysics

COMSOL was the primary simulation software I used for my undergraduate thesis. My friends and I modeled several piezoresistive pressure sensor structures in COMSOL.

Arduino Uno

I have worked on various projects using Arduino. The fact that Arduino Sketches are made using C made it an easy learning experince for me.

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Professional Experience

System Validation Engineer · Intel Corporation · August 2021 - Present

In this role, I will work with my team in order to test and validate the performances of Intel's Xeon server processor chips using HPC benchmarking tools.

Associate Curriculum Developer · SureStart · April 2021 - August 2021

I worked for SureStart as an Associate Curriculum Developer. SureStart arranges programs to teach high-school and undergraduate students the concepts of machine learning and artificial intelligence. As I have served as a mentor in SureStart's VAIL program earlier this year, I was chosen to design the curriculum for the next program, which was in collaboration with MIT Media Lab.

Mentor · MIT Media Lab · March 2021 - April 2021

I took part in the Future Makers AI program organized by MIT Media Lab. In this program, I taught middle school students about machine learning and artificial intelligence throughout a week of interactive sessions. I paired up with a middle school teacher to teach the Creativity and AI module.

Machine Learning Mentor · SureStart · February 2021 - March 2021

I am serving as one of the Machine Learning Mentors to high-school and undergraduate students who are new to the concepts of Machine Learning and Deep Learning. These students have different educational backgrounds and programming experiences. My job is to help them navigate through this educational journey so that by the end of the program they have a solid understanding of the concepts of Machine Learning.

Graduate Instructional Assistant · Texas State University · September 2020 - December 2020

I assisted students with laboratory experiments and graded their assignments. The course list includes:

• Analog and Mixed-Signal Design · Microprocessor · Probability, Random Variables, & Stochastic Process for Engineers · Numerical and Scientific Data Analysis using Python

EMPath 2020 Scholar · Affectiva · July 2020 - August 2020

In Phase-1 of the EMPath 2020 program, I served as a mentor to a group of undergraduate and high-school students who are new to ML/DL and affective computing. In Phase-2, I managed another team of young students who developed an emotion AI solution in the telehealth prompt for the Makeathon competition.

Highschool Teacher · Green Hill International School & College · February 2018 - May 2018

Back in 2018, Green Hill was the only English-medium school in Moulvibazar, Sylhet. I was working there as a part-time teacher for 8th and 9th grade classes. I mainly taught Mathematics and Physics, but occasionally taught other subjects like Chemistry and Biology.

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Projects and Reports

Simulating a bank system · April 2020 - May 2020

This was a group project for "Forecasting and Simulation" course. We had to simulate the operation of a bank in Simio and find out hiring employees in which sector would benefit the bank the most.

Remote tracking of Houston toads · June 2019 - August 2019

I was part of a team that helped mass-produce Automatic Recording Devices (ARD) which is used to track Houston Toads. We used Raspberry Pi 3 for processing the audio signals that were recorded using the Blue Snowflake USB microphone. For managing the power consumption of the Raspberry Pi we used Witty Pi 2. The ARD was powered using a 12 V battery connected to a 35 W PV solar cell. The device was scheduled to record audio for 10 minutes every hour for seven hours per day and send us notifications if Houston toads were detected via email and SMS.

Using HPC and LiDAR for locating doorways · February 2019 - May 2019

For my "(CAE) Simulations on HPC Systems" I had to do a solo project. My project involved using SLAMTEC's RPLiDAR A1M8 and C programming to detect the exits in a room. To speed up the process, I used OpenMP in my code.

A brief overview of perovskite solar cells · November 2019 - December 2019

I had to prepare a report on a topic involving electronics for my "Advanced Electronic Circuit Design" course. I chose perovskite solar cells because I found it to be very interesting at the time, and also because I knew someone who was working with them.

Installing a supercharging station · October 2018 - December 2018

For my "Probability, Random Variables, & Stochastic Process for Engineers" course I had to do a group project where my friends and I had to design a supercharging station for electric vehicles using only renewable energy. We had to provide a budget for the entire project and show how much power we would be producing from our renewable energy sources.

Temperature logger for biomedical applications · September 2015 - October 2015

The idea of the project is to measure the temperature of a patient and store the temperature measured in memory, so that it can be easily viewed afterward. If possible, the data stored can be used to draw graph to show temperature trend for patient. Microcontroller is employed in this project.

Remote home appliance control using DTMF technology · June 2014 - July 2014

This was a group project for my "Control System I" course where my friends and I designed a remote controller for swithcing home appliances on and off over cellular connection. We used dual-tone multi-frequency signals for our project.

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Publications

An Audio Processing Approach using Ensemble Learning for Speech-Emotion Recognition for Children with ASD

2021 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, May 2021. To view the article, click here.

A Speech Emotion Recognition Solution-based on Support Vector Machine for Children with Autism Spectrum Disorder to Help Identify Human Emotions

IEEE Intermountain Engineering, Technology, and Computing Conference (IETC), Orem, UT, USA, October 2020. To view the article, click here.

Material and Performance Analysis of MEMS Piezoresistive Pressure Sensor

International Journal of Engineering Trends and Technology (IJETT), Volume-31, Number-1, January 2016 issue. To view the article, click here.

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Certifications

edX Verified Certification for A System View of Communications: From Signals to Packets (Part 1)

The Hong Kong University of Science and Technology (HKUSTx), January 2021. To view the certificate, click here.

Coursera Verified Certification for Wireless Communications for Everybody

Yonsei University, November 2020. To view the certificate, click here.

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Awards and Honors

Best Presenter Award · May 2021

Dr. Damian Valles and I were presented the award for best presenter in the Artificial Intelligence and Machine Learning session of the 2021 IEEE World AI IoT Congress.

Third Computing Paper Award · October 2020

My research article titled "A Speech Emotion Recognition Solution-based on Support Vector Machine for Children with Autism Spectrum Disorder to Help Identify Human Emotions" was awarded third place in the Computing Track at the I-ETC Conference.

Academic Performance Excellence for AY2019 and AY2020 · September 2020

I made the director's list for scoring a perfect GPA on both academic years of my master's program at Texas State University.

3MT Competition Winner · February 2020

I won the Three Minute Thesis (3MT) competition at Texas State University in 2020. The final was held on the 28th of February at Evans Auditorium. I presented my research in under three minutes, in front of a panel of non-specialist judges. It was a great experience for me as I learned how to communicate my research to a wider audience in a short period of time. To see my winning presentation, click here.

MALE Network Scholar · February 2020

I was recognized by the MALE Network of Texas State University for my academic performance during the Fall 2019 Semester. A ceremony was held for all the recipients on the 6th of February, 2020, at the LBJ Student Center Ballroom.

Academic Success Workshop Guest Speaker · August 2019

I was invited by the Graduate College and the International Student and Scholar Services (ISSS) to give the "Etiquette: Peer to Peer" presentation at the Academic Success Workshop which was held on the 30th of August, 2019. I advised new graduate students on how to start their journey at Texas State and shared my experiences with them.

Academic Performance Excellence for AY2019 · August 2019

I made the director's list for scoring a perfect GPA on my first academic year in the master's program at Texas State University. The award was presented on the 22nd of August, 2019, at Bruce and Gloria Ingram Hall.

Alpha Chi Honor Society Member · February 2019

I was invited by the Alpha Chi Honor Society to become a member. I have been a member since 22nd of February, 2019 and am honored to be a part of this exclusive organization.

The Daily Star Award · March 2011

I received The Daily Star Award on the 18th of March, 2011, at the Shaheed Suhrawardy National Indoor Stadium, Dhaka, Bangladesh. I was awarded for receiving 3 As in my GCE A Level examinations.

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Test Scores

GRE · December 2016

• Total: 312
• Verbal Reasoning: 151 (51st percentile)
• Quantitative Reasoning: 161 (79th percentile)
• Analytical Writing: 4.0 (59th percentile)

IELTS · Februaury 2017

• Total: 8.0
• Listening: 9.0
• Reading: 8.5
• Writing: 7.5
• Speaking: 7.5

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Academic Milestone

Done with Master's Thesis! · October 2020

I successfully defended my Master's thesis titled "Developing a Speech Emotion Recognition Solution using Ensemble Learning for Children with Autism Spectrum Disorder to Help Identify Human Emotions" over Zoom on the 30th of October, 2020. I was joined by Dr. Damian Valles, the chair of my research committee, Dr. Vishu Viswanathan, the co-chair, and Dr. Maria Resendiz. To read my thesis, click here.