Team

Pranavi Addagatla holds a Master’s degree in Computer Science from Arizona State University. She previously worked as a Software Engineer at Accenture Solutions, where she focused on optimizing application performance, enhancing system scalability, developing APIs, and implementing CI/CD pipelines to streamline application delivery. Toward the end of her Master’s program, she collaborated with a startup, Project Human City, assisting them in hosting their applications on the cloud and containerizing their services using Docker.

Sai Rahul Kankipati is a Data Engineer at COSMOS. He did his masters at ASU where he researched on devloping models to create python code for physical design tasks. Previously, he worked as a Data Scientist at Smart Energy Water, where he contributed to research projects such as non-intrusive load monitoring and energy disaggregation, developing deep learning models to dis-aggregate appliance electricity usage.

Hadi Rashid is the Systems Administrator at COSMOS research center as well as the Emerging Analytics Center (EAC). His main focus is in automated configuration of pools of computing, storage, and networking resources to build an OpenStack-based cloud and a high-performance computing (HPC) platform in the UA Little Rock EIT’s data-center facility. Previously, Hadi worked as a lecturer and Cisco Networking Academy manager and instructor at the University of Duhok, Iraq. He received an MSc in Computer Science from the University of Duhok (2009) and a BSc in Computer Science (2003) from the University of Mosul, Iraq.

Ahmed Al-Taweel is a Ph.D. postdoctoral research fellow at the COSMOS research center after completing his Ph.D.  in applied mathematics at UA Little Rock with a research interest in numerical analysis and scientific computing. He received an M.S. in Mathematical Sciences from the UA Little Rock (2020).In COSMOS, he works with the research team in developing mathematical models of socio-technical behaviors on a variety of social media platforms. Currently he is working on Narrative analysis project.

Kongala Chinni Krishna is a Master’s student pursuing a degree in Information Quality at University of Arkansas at Little Rock and also working on ETL pipeline in COSMOS. He completed his bachelor’s in Electronics and Communication as his Major. He worked as a software developer for 1 year in Multi-National Company, as a developer. He is  passionate to code and enthusiastic to learn new skills.

Deepika graduated with a Master’s in Information Science at UA Little Rock. She has worked at COSMOS as a UI/UX Designer- Graduate Research Assistant. She is familiar with BI tools like Power BI and Tableau.

Qudirat Akanji is a data analyst with a master’s degree in business information systems and Analytics from UA Little Rock and a bachelor’s degree in international relations. Her work experience cuts across the financial services and technology industry. She enjoys kdrama, scrabble and scrawling the depths of Wikipedia

Okemute is a Master’s student pursuing a degree in information science at the University of Arkansas at Little Rock. with a diverse skill set, and a strong drive for personal and professional growth. He brings experience from his prior role as a server-side developer with expertise in Node.js and Python, utilizing frameworks like Express.js and Django. During his time with Upgraded Era, he mobilized software systems using RESTful API design principles, and database management (SQL and NoSQL), and also designed and implemented a RESTful API for a social media platform with authentication, data validation, and secure data storage. Currently, Okemute is actively working on mob modelling models using machine clustering algorithms on large data sets. His experience, expertise, and career goals position him as a valuable asset in any organization or project he undertakes.

Walter worked as a researcher at COSMOS. He graduated with his master’s degree in Business Information Systems at UA Little Rock in May of 2019.

Kim Tran graduated with her Ph.D. in December 2018.  Her research focuses on the validity of patient data found on social networks.