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I have a strong foundation in computer science, with specialized expertise in Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, and software engineering. I hold a Ph.D. from the University of Alabama, where I deepened my technical expertise and developed a passion for building practical, high-impact technology solutions. My experience spans AI engineering, software project management, DevOps practices, research computing, and IT leadership. As Director of AI and IT Solutions, I have led the development of AI-driven systems, managed technical projects, supported advanced computing infrastructure, and helped translate complex research needs into scalable software solutions. I am committed to using advanced technologies to solve complex problems, lead innovative projects, and deliver reliable, production-ready systems.
Education
- The University of Alabama, Tuscaloosa, Alabama, USA
- Ph.D., Interdisciplinary Science: Computer Science and Hydrology
- The University of Alabama, Tuscaloosa, Alabama, USA
- M.Sc. Computer Science
- Sharif University of Technology , Tehran, Iran
- B.Sc. Computer Science
Work Experience
Director of AI and IT Solutions, CCHR, October 2024 - Present
Senior Software Engineer, Alabama Water Institute, May 2023 - October 2024
AI Software Engineer Graduate Research Assistant, The University of Alabama, August 2019 - May 2023
Software Engineering Intern, UA Remote Sensing Center, May 2019 - August 2019
Software Engineer, _Armandis Co, January 2013 - August 2018
Publications
Mohammadsepehr Karimiziarani, and Hamid Moradkhani. Natural Language Processing Insights from the X (formerly Twitter) Sphere: A Comprehensive Analysis of the 2018 California Camp Fire. (2024)
Mohammadsepehr Karimiziarani, and Hamid Moradkhani. 2023. Social response and Disaster management: Insights from twitter data Assimilation on Hurricane Ian. International Journal of Disaster Risk Reduction. (2023)
Mohammadsepehr Karimiziarani, Wanyun Shao, Majid Mirzaei, and Hamid Moradkhani. 2023. Toward Reduction of Detrimental Effects of Hurricanes using a Social Media Data Analytic Approach: How Climate Change is perceived?. Climate Risk Management. (2023)
Mostafa Dadashi Firouzjaei, Mohammadsepehr Karimiziarani, Hamid Moradkhani, Mark Elliott, and Babak Anasori. 2022. MXenes: The two-dimensional influencers. Mater. Today Adv. 13, (2022), 100202.
Mohammadsepehr Karimiziarani, Keighobad Jafarzadegan, Peyman Abbaszadeh, Wanyun Shao, and Hamid Moradkhani. 2022. Hazard risk awareness and disaster management: Extracting the information content of twitter data. Sustain. Cities Soc. 77, May 2021 (2022), 103577.
Peyman Abbaszadeh, Hamid Moradkhani, Keyhan Gavahi, Sujay Kumar, Christopher Hain, Xiwu Zhan, Qingyun Duan, Christa Peters-Lidard, and Sepehr Karimiziarani. 2021. High-resolution SMAP satellite soil moisture product: Exploring the opportunities. Bull. Am. Meteorol. Soc. 102, 4 (2021), 309-315.
Seyed Moslem Shokrolahi and Mohammadsepehr Karimiziarani. 2021. A deep network solution for intelligent fault detection in analog circuit. Analog Integr. Circuits Signal Process. 107, 3 (2021), 597-604.
