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Research

Papers & Projects

Academic work from graduate coursework at Youngstown State University — covering information systems, blockchain, machine learning, and software design.

Sundar Raj SharmaApr 2025Youngstown State University

Comprehensive Analysis of Information Systems at Tesla, Inc.

Theory and Practice of Information Systems · Rachel E. Gramann

In-depth analysis of Tesla's information systems infrastructure, focusing on technological innovations and operational excellence. Examines how integrated systems contribute to competitive advantage in the EV and renewable energy markets.

Keywords — Information Systems, Corporate Analysis, Tesla, Technology Strategy

Sundar Raj SharmaSpring 2025Youngstown State University

Blockchain in Healthcare: A Comprehensive Overview

Blockchain and Cryptocurrency Technologies · Feng (George) Yu, Ph.D.

Comprehensive analysis of blockchain technology applications in healthcare — patient data security, interoperability, and supply chain management. Explores transformative potential in addressing key systemic challenges including data privacy and medical supply chain verification.

Keywords — Blockchain, Healthcare, Data Security, Supply Chain

Sundar Raj SharmaApr 2025Youngstown State University

FeedWise: Personalized Post Recommendation System

Data Science and Machine Learning · Abdu Arslanyilmaz

Lightweight backend-powered recommendation system delivering personalized content based on skills and feed preferences. Implements a hybrid scoring algorithm inspired by content-based filtering and collaborative signals. Backend built with Python and Flask, using MongoDB for dynamic storage.

Keywords — Recommendation Systems, Python, Flask, MongoDB, Machine Learning

Sundar Raj SharmaDec 2025Youngstown State University

Peer Study Matching System

Principles of Computer Programming · CSCI.6901.43180.2025.Fall

Intelligent C++ application automating study group formation by analyzing student profiles, learning styles, and availability. Implements a weighted compatibility algorithm: complementary strengths (60%), availability overlap (25%), learning style similarity (15%). Features dynamic memory management, STL vectors, and persistent JSON storage via nlohmann/json.

Keywords — C++, Object-Oriented Programming, Data Structures, JSON, Algorithm Design