Hello! I'm Shivika.

I am a Computer Science Ph.D. student working with Dr. Praveen Rao, in the Scalable Data Science (SDS) lab, Department of Electrical Engineering and Computer Science, University of Missouri-Columbia.
Our lab focuses on developing efficient algorithms and techniques for data and knowledge management, information retrieval, and machine learning. My thesis work investigates knowledge graph construction and inference on COVID-19 genomic variants data using graph machine learning. My primary goal is to leverage graph sampling techniques to summarize massive-scale graphs to discover new facts from human genome variants. Aside from knowledge graphs and graph machine learning, I am also greatly interested in deep learning and natural language processing.
I am an active member of Association for Computational Linguistics (ACL), Associate for Computing Machinery (ACM) and Upsilon Pi Epsilon (UPE) - Gamma chapter at University of Missouri-Columbia.
In my free time, I enjoy traveling, drawing mandalas, solving puzzles, and spending time with my two dogs.

Publications

2022

2021

2020

  • Deepfakes for Histopathology Images: Myth or Reality?
    Nouf Alrasheed, Arun Zachariah, Shivika Prasanna, Deepthi Rao, and Praveen Rao
    In 49th Annual IEEE Applied Imagery Pattern Recognition (AIPR) Workshop 2020: Trusted Computing, Privacy, and Securing Multimedia, pages 1-7, Washington, D.C., 2020.

2015

Reviewer

External Reviewer

  • 36th Conference on Neural Information Processing Systems (NeurIPS), 2022

  • 10th International Conference on Learning Representations (ICLR), 2022

External Subreviewer

  • 24th International Conference on Big Data Analytics & Knowledge Discovery (DaWaK), 2022

  • 23rd IEEE International Conference on Mobile Data Management (MDM), 2022

  • 23rd International Conference on Big Data Analytics & Knowledge Discovery (DaWaK), 2021

  • 30th International Conference on Computing and Communication Networks (ICCCN), 2021

  • 8th IEEE International Conference on Healthcare Informatics (ICHI), 2020

  • 8th International Conference on Big Data Analytics (BDA), 2020

PC Member

  • International Semantic Intelligence Conference (ISIC), 2022

Education


University of Missouri-Columbia

Doctorate Degree in Computer Science
(2020-Present)

Department of Electrical Engineering and Computer Science

GPA: 4.00/4.00

University of Texas at Dallas

Master of Science Degree in Computer Science
(2016-2018)

Department of Computer Science

GPA: 3.39/4.00

BMS College of Engineering, Bangalore, India

Bachelor of Science Degree in Computer Science
(2011-2015)

Department of Computer Science

GPA: 8.24/10.00