About Us
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Omiya Hassan
Principal Investigator
Dr. Omiya Hassan joined Boise State University in 2023 and is currently an assistant professor in the Department of Electrical and Computer Engineering. She earned her Ph.D. in the Department of Electrical Engineering and Computer Science (EECS) at the University of Missouri, and her Bachelor of Science degree in Electrical and Electronics Engineering (EEE) in 2017 from United International University, Bangladesh. Dr. Hassan’s research expertise lies on low-power integrated circuit design, VLSI, real-time embedded system and machine learning hardware.
Department of Electrical and Computer Engineering, Micron Engineering Center (MEC) 202GDr. Omiya Hassan joined Boise State University in 2023 and is currently an assistant professor in the Department of Electrical and Computer Engineering. She earned her Ph.D. in the Department of Electrical Engineering and Computer Science (EECS) at the University of Missouri, and her Bachelor of Science degree in Electrical and Electronics Engineering (EEE) in 2017 from United International University, Bangladesh. Dr. Hassan’s research expertise lies on low-power integrated circuit design, VLSI, real-time embedded system and machine learning hardware.
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Ikteder Akhand Udoy
Graduate Assistant
Ikteder completed his Bachelor of Science in Computer Science and Engineering at American International University-Bangladesh in late 2021. He is currently pursuing his Ph.D. in Computing emphasis on Data Science at Boise State University. His doctoral research focuses on developing machine learning models for hardware inference to identify anomalies in ultrasound images from adult and pediatric echocardiography at LPiNS-Lab. His research interests are Machine Learning, Computer Vision, Health Informatics, Data Analytics, Large-Scale Data Analysis (Big Data), Deep Learning, Artificial Intelligence.
Department of ComputingIkteder completed his Bachelor of Science in Computer Science and Engineering at American International University-Bangladesh in late 2021. He is currently pursuing his Ph.D. in Computing emphasis on Data Science at Boise State University. His doctoral research focuses on developing machine learning models for hardware inference to identify anomalies in ultrasound images from adult and pediatric echocardiography at LPiNS-Lab. His research interests are Machine Learning, Computer Vision, Health Informatics, Data Analytics, Large-Scale Data Analysis (Big Data), Deep Learning, Artificial Intelligence.