Shivika Prasanna

Hello! I'm Shivika.

So excited to be a part of Fidelity Investments as a Principal Data Scientist for the Workplace Investing AI COE!
I recently earned my Ph.D. in Computer Science from the University of Missouri-Columbia. 🎓✨
My research journey has been an exciting adventure in the world of applied AI and Machine Learning. I've dabbled in everything from Machine Learning and Deep Learning to Knowledge Management (graphs), OCR, and Graph Machine Learning.
My true passion lies in knowledge graphs, Natural Language Processing (NLP), and graph machine learning. Whether it's unraveling the complexities of data or pushing the boundaries of what's possible with AI, I'm all about turning innovative ideas into reality! Beyond my research, 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!

Education

Ph.D. in Computer Science

University of Missouri-Columbia

2020-2024

GPA: 4.00/4.00

MSc. in Computer Science

University of Texas at Dallas

2016-2018

GPA: 3.39/4.00

BE. in Computer Science

BMS College of Engineering

2011-2015

GPA: 8.28/10.00

Publications

2024

A Scalable Tool For Analyzing Genomic Variants Of Humans Using Knowledge Graphs and Machine Learning
Shivika Prasanna, Ajay Kumar, Deepthi Rao, Eduardo Simoes, and Praveen Rao
In arXiv preprint, 2024.

2023

Scalable Knowledge Graph Construction and Inference on Human Genome Variants
Shivika Prasanna, Deepthi Rao, Eduardo Simoes, and Praveen Rao
In arXiv preprint, 2023.

2022

Social Service Workers’ Use of Social Media to Obtain Client Information: Current Practices and Perspectives on a Potential Informatics Platform
James C Spilsbury, Estefania Hernandez, Kimberly Kiley, Eleanor Gillerlane Hinkes, Shivika Prasanna, Nassim Shafiabadi, Praveen Rao, and Satya S Sahoo
In Journal of Social Service Research, pages 739-752, 2022.

KGSAR: A Knowledge Graph-Based Tool for Managing Spanish Colonial Notary Records
Shivika Prasanna, Nouf Alrasheed, Parshad Suthar, Pooja Purushatma, Praveen Rao, and Viviana Grieco
In the 21st International Semantic Web Conference (ISWC 2022), 4 pages, China, 2022. (website) (demo)

Impact of COVID-19 infection among myasthenia gravis patients-a Cerner Real-World Data™ study
Lakshmi Prasanna Digala, Shivika Prasanna, Praveen Rao, Adnan Qureshi, and Raghav Govindarajan
In BMC Neurology, Vol. 22, Issue 1, pages 1-4, 2022.
Received 2021 AANEM President’s Research Initiative Award.

Five Cases of Charcot-Marie-Tooth Disease With Positive COVID-19 Infection Reported Using Cerner Real-World Data™
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi
In Journal of Clinical Neuromuscular Disease, Vol. 23, Issue 3, pages 169-170, 2022.

2021

Sentiment analysis of tweets on prior authorization
Shivika Prasanna, Naveen Premnath, Suveen Angraal, Ramy Sedhom, Rohan Khera, Helen Parsons, Syed Hussaini, Pamela T Johnson, Emil Lou, Muhammad Shaalan Beg, Ishwaria Mohan Subbiah, Praveen Rao, and Arjun Gupta
Journal of Clinical Oncology, Vol. 39, Issue 28_suppl, page 322, 2021.

Evaluation of Deep Learning Techniques for Content Extraction in Spanish Colonial Notary Records
Nouf Alrasheed, Shivika Prasanna, Ryan Rowland, Praveen Rao, Viviana Grieco, and Martin Wasserman
In 3rd Workshop on Structuring and Understanding of Multimedia Heritage Contents (SUMAC), co-located with ACM Multimedia 2021, pages 23-30, 2021.

A Data Science Perspective of Real-World COVID-19 Databases
Shivika Prasanna and Praveen Rao
Leveraging Artificial Intelligence in Global Epidemics, pages 133-163, Elsevier, 2021. (Editors: Gruenwald, Jain, Groppe)

A Cerner Real-World Data™ Study of Spinal Muscular Atrophy Patients With Positive COVID-19 Infection
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi
In Journal of Clinical Neuromuscular Disease, Vol. 22, Issue 4, pages 239-240, 2021.

Impact of COVID-19 infection among hospitalized Amyotrophic Lateral Sclerosis-ALS patients
Lakshmi Digala, Shivika Prasanna, Praveen Rao, Raghav Govindarajan, and Adnan Qureshi
In Journal of Clinical Neuromuscular Disease, Vol. 22, Issue 3, page 180, 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

Load Balancing Techniques: A Comprehensive Study
Shilpi Pandey, Shivika Prasanna, Shreeya Kapil, and Rajeshwari B.S.
In International Journal of Advance Research in Computer Science and Management Studies, 2015.

Reviewer

External Reviewer

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

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

External Subreviewer

24^th PLOS One, 2024

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

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

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

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

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

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

Program Committee Member

Association for the Advancement of Artificial Intelligence (AAAI), 2025
International Semantic Intelligence Conference (ISIC), 2022 (onwards)

Awards

Academic Achievement Scholarship, Upsilon Pi Epsilon, 2023

Outstanding Ph.D. Student in EECS, University of Missouri, 2023

D&I Student Participation Award, EDBT/ICDT, 2023

Student Grant, International Sematic Web Conference (ISWC), 2022

AANEM President's Research Initiative Award, Impact of COVID-19 infection among myasthenia gravis patients-a Cerner Real-World Data™ study, 2021