Riyad Bin Rafiq work email
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Riyad Bin Rafiq personal email
As a Ph.D. candidate in Computer Science and Engineering, I am dedicated to using my expertise to make a positive impact on society. My current research focuses on developing a wearable sensor-based hand gesture recognition system for speech-impaired individuals, specifically those who lack fine motor skills. By utilizing transfer learning, continual learning, and meta-learning, I am exploring new and innovative ways to customize gesture learning for these individuals.With a passion for using technology to solve real-world problems, I bring a unique combination of technical knowledge and empathy to my work. My experience with deep learning and Python, as well as my familiarity with data science techniques, enables me to effectively communicate my findings and insights.I am always looking for new opportunities to collaborate with others who share my passion for using technology to make a difference, and I am eager to bring my skills and experience to bear in innovative and impactful projects.
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Graduate Research AssistantBiomedical Ai Lab At Unt Jan 2021 - PresentDenton, Texas, United States• Gesture Recognition System: Currently, working to build a customized hand gesture recognition system using accelerometer data to generate audible responses, particularly for those who lack fine motor skills. The primary focus is enhancing the custom gesture learning strategy through the implementation of transfer learning and continual learning techniques.• PROMIS: This study aimed to assess the feasibility of employing computerized adaptive testing (CAT) on a tablet computer for administering patient-reported outcome measures in rehabilitation inpatients, while also examining the workload impact on staff and identifying the prevalence of elevated T-scores across six PROMIS measures.• ML Validation in Medicine: Presented an overview of the common limitations of machine learning model validation methods in the field of medicine, followed by solutions aimed at addressing these limitations. Our focus was on enhancing the reliability of machine learning models specifically tailored for medical applications. -
Graduate Teaching AssistantUniversity Of North Texas Aug 2021 - PresentDenton, Texas, United States• CSCE 5280 AI for Wearables and Healthcare (Fall'22 & 24): Provided guidance to students throughout the entire project process, from brainstorming ideas to final implementation. Additionally, I assisted instructors in creating exam questions and graded student assignments.• CSCE 5218 Deep Learning (Spring'22): Utilized minitorch to prepare assignments and provided assistance to students in completing and understanding them. Additionally, I graded assignments and offered explanations for any topics that students may have missed during class.• CSCE 1030 Computer Science I (Fall'21): Spent three hours instructing a lab class where I helped freshman students solve programming problems utilizing C++. Also, provided assistance to students in completing their projects.• NSF-ReU Summer Research: During a 10-week summer research program, I provided guidance to undergraduate and graduate students, facilitating their research activities and assisting in the implementation of ideas. Additionally, I offered explanations on relevant topics essential for their research endeavors.• Other courses: CSCE 5215 Machine Learning (Spring’22), CSCE 4110 Algorithms (Spring’22). -
Software EngineerJmj Code Oct 2020 - Dec 2020Dhaka, BangladeshContributed to developing different modules of a web application for online vendors.
Riyad Bin Rafiq Skills
Riyad Bin Rafiq Education Details
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Computer Science And Engineering -
Artificial Intelligence - Machine Learning -
Computer Science And Engineering
Frequently Asked Questions about Riyad Bin Rafiq
What company does Riyad Bin Rafiq work for?
Riyad Bin Rafiq works for Biomedical Ai Lab At Unt
What is Riyad Bin Rafiq's role at the current company?
Riyad Bin Rafiq's current role is CSE PhD Candidate at UNT.
What is Riyad Bin Rafiq's email address?
Riyad Bin Rafiq's email address is ri****@****unt.edu
What schools did Riyad Bin Rafiq attend?
Riyad Bin Rafiq attended University Of North Texas, University Of North Texas, Chittagong University Of Engineering & Technology.
What skills is Riyad Bin Rafiq known for?
Riyad Bin Rafiq has skills like Artificial Neural Networks, Python, Data Analysis, Machine Learning Algorithms, Recurrent Neural Networks, Long Short Term Memory, Cluster Analysis, Convolutional Neural Networks, Machine Learning, Deep Learning, C++, Computer Vision.
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