_/ _/ _/ _/ _/_/_/_/ _/_/_/
_/_/_/_/ _/_/ _/_/ _/ _/ _/
_/ _/ _/ _/ _/ _/_/_/ _/_/_/ _/
_/ _/ _/ _/ _/ _/
_/_/ _/ _/ _/_/_/_/ _/_/_/_/ _/_/_/
tiny Machine Learning and Embedded Computing Laboratory (tML-EC Lab)
Open Positions
Postdoc. - Emerging Computing
Students
PhD. Students
Abu Kaisar Mohammad Masum
Abu Kaisar Mohammad Masum earned his B.Sc. in Computer Science and Engineering from Daffodil International University, Bangladesh. He has served as a Lecturer at the same institution, teaching courses such as Machine Learning, Data Mining, and Artificial Intelligence. Abu has gained research experience as a Research Assistant at Apurba-DIU R&D Lab and as a Researcher at the DIU NLP and Machine Learning Research Lab, where he focused on Bengali text summarization, Bengali spell checking, automated data annotation, and language models utilizing transformers and attention mechanisms. His research interests include machine learning and hybrid classical-quantum machine learning. He is particularly interested in Machine Learning, Quantum Machine Learning, Large Language Models, and Natural Language Processing. Abu has received full funding to participate in the STAQ Quantum Summer School 2024 at Duke University, enhancing his expertise in quantum computing.
co-supervised (main advisor:
Prof. M. Hassan Najafi)
Faeze Sadat Banitaba
Faeze received the B.Sc. degree in Computer Engineering - Hardware from Shahid Beheshti University, Tehran, Iran, in 2013, and the M.Sc. degree in Computer Architecture from the University of Tehran in 2017. Faeze was selected as a DAC Young Fellow in DAC 2023. She is working in securing stochastic computing-based neural network systems from data to the network model security.
Master Students
Reeti Pradhananga
Reeti Pradhananga is currently pursuing a master’s degree in computer science at the University of Louisiana at Lafayette. She earned her bachelor’s degree from Kantipur Engineering College, Nepal. She has experience in software development, and she is proficient in Python, Go, JavaScript, and SQL. Her academic and professional journey reflects a deep interest in data-driven decision support systems, which has led her to explore machine learning and recommendation systems. Reeti is passionate about leveraging technology to solve real-world problems, and her current research aims to contribute to advancements in these emerging fields.
Undergrad. Students
Jonas I Schmidt
Jonas is an undergraduate senior pursuing a B.Sc. in Computer Science and double major in Mathematics, with a minor in Psychology at The University of Louisiana at Lafayette. He is the chair of ULL's ACM-CSE student chapter. Jonas joined our lab in August 2024. Jonas and Dr. Aygun are working together since January 2023 and since Jonas contributed to the area of Hyperdimensional and Stochastic Computing. Jonas received the Louisiana Space and Sea Grant Opportunity (LaSSO) Award for his research on emerging computing technologies.
Emilien J Meyer
Emilien is an undergraduate student finishing his B.Sc. in Electrical Engineering with a concentration in Computer Engineering and a minor in Computer Science. He is a member of the IEEE Student Branch at the University of Louisiana at Lafayette. Since joining the lab in October, he has contributed to the area of efficient data processing in resource-constrained devices.
Colin E Dupuis
Colin Dupuis was born in Lafayette, Louisiana, in 2002. He received a high school diploma from St. Thomas More Catholic High School in Lafayette, Louisiana. He is an undergraduate senior studying Electrical Engineering at the University of Louisiana at Lafayette. In 2022 he became a student member of the national branch of IEEE. In 2021 he joined Arcadian Ambulance Service as a Computer Technician Intern. Mr. Dupuis is also currently a member of the Louisiana Society of Engineers and the ULL Club Lacrosse team.
Allison Zanyk
Allison is currently working towards her B. Sc. in Computer Science and Mathematics at University of Louisiana at Lafayette. She is interested in researching hyperdimensional computing and mathematical optimization. She is experienced in web development using SQL, C#, F#, .Net, and React. Other interests include hiking, music composition, and the philosophy of mathematics.
Previous Programs & Students
Summer Internship Program - 2024
This project aims to develop a mobile artificial intelligence (AI) application for housekeeping operations. Using the app, customers and housekeepers can easily track the cleanliness and organization of household objects. By leveraging powerful AI models, the app performs object tracking through segmentation. Each specific household item in a property is then analyzed using the generative conversational AI module from Gemini. This allows for a fast and effective mobile application that assesses the status of household furniture, from its positioning to its level of cleanliness, guiding housekeepers in their tasks. The project has been released as a mobile application product. The project has been supported by Informatics Research Institute and Keepers.
Students Attended (from left to right in the left picture):
Kevin P Nguyen
Tyler Searle
Austin J Bryant
Nathaniel L Agee
Colin E Dupuis
Luke W Brinkley
![](https://www.google.com/images/icons/product/drive-32.png)
![](https://www.google.com/images/icons/product/drive-32.png)
![](https://www.google.com/images/icons/product/drive-32.png)