Vishnu Kakaraparthi

Vishnu Kakaraparthi or Vishnu Prateek Kakaraparthi is a dedicated researcher and technical lead with extensive experience in machine learning, smart city technologies, and user experience. His work spans academic research, industry collaborations, and open-source contributions, showcasing his versatility and commitment to advancing technology for societal benefit.

Education

Vishnu Prateek Kakaraparthi completed his Ph.D. in Computer Science at Arizona State University, with a concentration on smart cities, machine learning, and policy informatics, maintaining a perfect GPA of 4.00. During his doctoral studies, he was an NSF-NRT Smart Cities Research Fellow, engaging in advanced coursework on smart city infrastructures and resilient communities. Concurrently, Vishnu pursued a Master of Business Administration from the Quantic School of Business and Technology, equipping himself with the necessary skills to integrate technological innovations with business strategies. Prior to his Ph.D., he earned a Master of Computer Science from Arizona State University in December 2018, where he focused on distributed database systems, artificial intelligence, and machine learning. His academic journey began with a Bachelor’s degree in Computer Science and Engineering from SRM University in India, completed in November 2016, where he laid the foundation for his future research and professional endeavors.

Publications and Patents

Vishnu Prateek Kakaraparthi has made significant contributions to the field of computer science through his research and innovation. His work primarily focuses on machine learning, human-computer interaction, and smart technologies. Vishnu has authored several impactful publications and holds a patent for his innovative system in activity identification. His research has been presented at prestigious conferences and published in renowned journals, showcasing his expertise and dedication to advancing technology. For a comprehensive list of his works, you can visit his Google Scholar profile.

Publications

Kakaraparthi, V., Goldberg, M., McDaniel, T. (2023). Wrist View: Understanding Human Activity Through Hand. *HCII 2023*. Lecture Notes in Computer Science, vol 14021. Springer, Cham. [https://doi.org/10.1007/978-3-031-35897-5_41]
Kakaraparthi, V., McDaniel, T., Venkateswara, H., Goldberg, M. (2022). PERACTIV: Personalized Activity Monitoring - Ask My Hands. *HCII 2022*. Lecture Notes in Computer Science, vol 13326. Springer, Cham. [https://doi.org/10.1007/978-3-031-05431-0_18]
Vishnu Prateek K, "Machine Learning Algorithm Hypothesis on Smart Gyroscopic Tuned Dampers for Earthquake Resistance Building", *International Journal of Multidisciplinary Research and Development*, vol. 2, pp. 705-707, 2015. [https://www.allsubjectjournal.com/assets/archives/2015/vol2issue10/86.pdf]

Patents

A Hand-Directed System For Identifying Activities, Patent Pending, Troy McDaniel, Mozest Goldberg, Hemanth Kumar Demakethepalli Venkateswara, Sethuraman Panchanathan, Vishnu Prateek Kakaraparthi. U.S. patent App. #20230324993.