E: sn922 'AT' msstate 'DOT' edu | P: (240)-614-0070
Research Interests: Generative AI, Information Retrieval, Natural Language Processing, Healthcare, Cybersecurity, Artificial Intelligence
SUBASH NEUPANE is a Ph.D. candidate in Computer Science at Mississippi State University. I hold an M.S. in Information Systems and Security Management from Tuskegee University, AL, USA (2020), an M.S. in Information Technology (Professional Computing) from Swinburne University of Technology, Melbourne, Australia (2016), and a Bachelor's degree in Computer Engineering from Kathmandu University, Nepal (2011). Prior to pursuing my Ph.D., I worked as a Telecom Network Engineer at Tandem Corporation in Melbourne. My current research interests include Generative AI, Information Retrieval, Natural Language Processing, Healthcare, Cybersecurity, and Artificial Intelligence.
Ph.D. Candidate Computer Science
Thesis: “Next generation medical Q&A System: Role of Context Augmentation and Language Models”
Advisor: SHAHRAM RAHIMI, Department Head and Gloria & Douglas Marchant Endowed Chair Professor
Committee Members: Shahram Rahimi (Chair), Sudip Mittal, Amin Amirlatifi, Sean Bozorgzad
M.Sc. in Information Systems & Security
M.Sc. in Information Technology
B.E. in Computer Engineering
Research Assistant (with Prof. Shahram Rahimi)
Spearheaded the development of CLINICSUM, a novel framework designed to automatically generate clinical summaries in the SOAP (Subjective, Objective, Assessment, and Plan) format from transcribed patient-doctor conversations.
Led the development of MedInsight, a novel multi-source context augmentation framework designed to improve medical Q&A tasks leveraging Large Language Models (LLMs).
Developed a taxonomy categorizing Patient Centric Knowledge Graphs (PCKGs) based on construction, evaluation, processing, and application methods, providing a structured framework for understanding the complexities involved in PCKG development and application.
Developed Patient Journey Ontology (PJO), an innovative framework designed to represent and integrate a patient’s complete healthcare journey, including medical histories, diagnoses, treatments, and outcomes, into a unified, semantically rich structure.
Research Assistant (with Asst.Prof. Sudip Mittal)
Led a comprehensive survey on security vulnerabilities in AI-driven robotic systems, focusing on key attack surfaces such as adversarial attacks on autonomous systems, jamming of sensors, and manipulation of machine learning models.
Co-led the development of LOCALINTEL, a novel framework designed to automatically generate organization-specific cyber threat intelligence by contextualizing global cyber threat information with local knowledge databases.
Designed and implemented a robust time-series forecasting model using TCN, focusing on learning the underlying relationships between sensor channels across various FWGs (Functional Working Groups) such as engine, transmission, fuel, and brakes and their explanations using SHAP.
Developed a generic explainable IDS architecture that incorporates human-in-the-loop elements to facilitate better decision-making by CSoC analysts.
Generative AI and Data Science Research Intern Summer 2024 - Present
Developed scalable novel frameworks for medical summarization task leveraging LLMS and retrieval
Augmented Generation (RAG).
Responsible for automatic generation of Patient discharge summaries using NLP stack.
Develop and deploy an NLP-based system to extract patient needs from medical data, mapping them with the capabilities of Post-Acute Care (PAC) facilities.
HP Summer Scholar Summer 2020
Analyzed the impact of global megatrends on business strategy, products, and solutions, identifying key drivers for market competitiveness and innovation.
Gained insight into decision-making processes, prioritization, and trade-off management within a corporate environment.
Telecom Network Engineer Nov 2017 - Oct 2018
Designed and debugged Hybrid Fiber Coaxial (HFC) telecom networks using AutoCAD Map 3D for the Australian National Broadband Network (NBN) project.
Performed RF signal calculations for both active (amplifiers, power blockers, power inserters) and passive devices (CX cables) to optimize network performance.
Supervised an audit team of 10 HFC contractors.
Graduate Telecom Trainee Feb 2017 – Oct 2017
Conducted SC 23 (WallPlate to DOCSIS 3.0/3.1 Modem Activation) and SC 22 (Tap to BEP) jobs for the NBN project, ensuring smooth telecom network installations.
Boosted HFC activation rates by 50% through the identification and resolution of downstream and upstream channel faults, enhancing network performance.
Automation Testing Intern Jul 2015 – Dec 2015
Designed and implemented a comprehensive Test Management Plan and Test Summary Report following the ISO/IEC/IEEE 29119 framework.
Provided comprehensive software testing during the systems development and implementation life-cycle, designing and executing test artifacts to validate system requirements.
Developed and executed reusable test plans and scenarios for manual testing activities, including regression, functional, and usability testing.
Software Engineer May 2012 – Feb 2014
Played a key role in the successful implementation of the Core Banking System (CBS).
Deployed Temenos CBS (T24) in 50 regional branches.
Conducted on-the-job training for employees in various branches, educating them on the use of the T24 software.
Assisted branches in preparing test cases for T24 banking software and conducted UAT.
Associate Software Engineer Sep 2011 – Apr 2012
Worked in various American healthcare data related project
IncentOne: Health and productivity solutions using ASP .Net, C#, HTML, CSS, JS
Peak–Navy: Health incentive provider application for US-Navy. MVC 3.0 (Razor), C#, CSHTML, Javascript, CSS, MS-SQL
Software Development Intern May 2011 – August 2011
Developed an office automation tool (JLS) using C# .Net and MSSQL R2.
Contributed as both a Software Developer and Software Quality Tester, working on internal tools like JLS and iTouchCatalogue.