Overview

Prakash Chourasia is a Ph.D. candidate in the Department of Computer Science at Georgia State University, advised by Dr. Murray Patterson. His research interests include Machine Learning, Artificial Intelligence, Data Mining, Federated Learning, Representation Learning, Kernel Methods, Algorithms, Bioinformatics, Drug Discovery, and Health Data. His current research focuses on developing ML/AI techniques in bioinformatics.

Prakash has over 5 years of industry experience as a Software Engineer at companies like Amerisave Mortgage Corporation and InComm. He holds a Master’s degree in Computer Science from Georgia State University and a Bachelor’s degree in Information Technology from Rajiv Gandhi Technical University, India.

Research

Prakash’s research focuses on applying machine learning and artificial intelligence techniques to solve problems in bioinformatics, drug discovery, and health data. His work includes developing efficient algorithms, representation learning methods, and federated learning approaches for biological sequence analysis and classification.

Recent Publications

• Conference Papers:
  1. Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, and Murray Patterson. Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA 2024. Preprint
  2. Sarwan Ali, Madiha Shabbir, Haris Mansoor, Prakash Chourasia, and Murray Patterson. Elliptic Geometry-Based Kernel Matrix for Improved Biological Sequence Classification. IEEE WCCI / IJCNN 2024. Preprint
  3. Sarwan Ali, Tamkanat Ali, Prakash Chourasia, and Murray Patterson. A Universal Non-Parametric Approach for Improved Molecular Sequence Analysis. PAKDD 2024. Preprint
  4. Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, and Murray Patterson. T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. ICONIP 2023. PDF
• Journal Articles:
  1. Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, and Murray Patterson. Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. Journal of Computational Biology, 2023. PDF
  2. Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, and Murray Patterson. ViralVectors: Compact and Scalable Alignment-Free Virome Feature Generation. Medical & Biological Engineering & Computing, 2023. PDF
  3. Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, and Murray Patterson. PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. MDPI Biology, 2022. PDF

Awards and Honors

• Molecular Basis of Disease (MBD) Ph.D. Fellowship (4 years funding for Ph.D.) – 2023
• Student Travel Award (ICDM 2023, IJCNN 2023, ICLR 2023) – 2023
• Graduate Research Assistantship (Fully funded scholarship for Ph.D. studies) – 2021
• Home Depot Hackathon Winning Team – 3rd Prize – 2016
• President Award for Boy Scouts – Eagle Scout (Awarded by Dr. APJ Abdul Kalam) – 2007

Teaching Experience

• Teaching Fellow
  CSC 1302: Principles of Computer Science II
  Spring 2022

• Graduate Teaching Assistant
  CSC 1301: Python Programming (Spring 2024)
  CSC 4370: Web Programming (Spring, Summer, Fall 2023)
  CSC 3320: System-Level Programming (Fall 2022)
  CSC 3210: Computer Organization and Programming (Fall 2021)

Work Experience

• Data Science Research Intern
  Johnson & Johnson, Remote – Atlanta, GA
  May 2024 – Aug 2024

• Software Engineer-II
  InComm, Atlanta, GA
  Oct 2019 – Aug 2021

• Software Developer
  Amerisave Mortgage Corporation, Atlanta, GA
  June 2016 – Oct 2019