MD Inzamam Ul Haque

MD Inzamam Ul Haque

Bredesen Fellow/ Research Assistant @ Ridge

About MD Inzamam Ul Haque

MD Inzamam Ul Haque is a Bredesen Fellow and Research Assistant at the University of Tennessee, Knoxville, specializing in biomedical data analysis. He has a strong background in electrical engineering and data science, with experience in developing AI solutions for healthcare applications.

Work at Oak Ridge National Laboratory

MD Inzamam Ul Haque has been employed at Oak Ridge National Laboratory as a Bredesen Fellow and Research Assistant since 2020. In this role, he is part of the Multimodal Data Analytics group, where he focuses on biomedical data analysis. His work involves the application of medical imaging and natural language processing techniques to enhance data interpretation in biomedicine.

Work at University of Tennessee, Knoxville

Currently, MD Inzamam Ul Haque is a Graduate Research Assistant at the University of Tennessee, Knoxville, where he has been working since 2020. His research is centered on Data Science and Engineering, contributing to projects that leverage advanced data analytics techniques in various applications.

Previous Experience at Texas State University

Before his current roles, MD Inzamam Ul Haque worked at Texas State University from 2017 to 2020. He served as a Graduate Instructional Assistant for 8 months and then as a Graduate Research Assistant for 2 years. His responsibilities included supporting academic instruction and conducting research in the field of Electrical Engineering.

Education and Expertise

MD Inzamam Ul Haque holds a Bachelor's degree in Electrical and Electronics Engineering from Khulna University of Engineering and Technology, completed in 2016. He furthered his education by obtaining a Master's degree in Electrical Engineering from Texas State University in 2019. Currently, he is pursuing a Doctor of Philosophy (PhD) in Data Science and Engineering at the University of Tennessee, Knoxville, expected to complete in 2025. His expertise includes building scalable AI and machine-learning solutions for multidimensional, multimodal data in high-performance computing environments, particularly in biomedicine and bioengineering.

Innovative Projects

MD Inzamam Ul Haque developed an iOS application for emotion recognition utilizing a Deep Learning model. This application was employed in clinical trials aimed at speech communication therapy for children with autism, demonstrating his commitment to applying technology in impactful ways within the healthcare sector.

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