Ajay Gupta - Computer Science

About

Adjunct Professor & Director of Computer Resources,
Department of Computer Science,
Old Dominion Univerity
Applied Research Lab

Prostate Cancer (ODU/EVMS)
The research aims to revolutionize prostate cancer treatment planning through an innovative AI-driven decision support system. Leveraging deep learning techniques and survival analysis, the approach seeks to provide highly personalized treatment recommendations. It tackles the challenge of balancing quality of life and life expectancy, promising to optimize patient care and treatment outcomes. Furthermore, the research addresses the prevalence and complexity of prostate cancer, aiming to enhance the overall understanding and management of this disease.

War Simulation
VR-Based War Simulation Training with Virtual Reality Headsets: Our project focuses on immersive war simulation training using VR headsets. This technology enables realistic, adaptable training scenarios in any terrain, enhancing soldiers' skills and decision-making abilities while a WarDJ orchestrates the dynamic battlefield conditions, making it a valuable tool for modern military training.

Generative/Conversational AI: (AGENT AS A SERVICE)
Generative or conversational AI , enables human-like interactions between machines and users through advanced algorithms and large language models. It enhances user experiences, automates tasks, and finds applications in customer support and virtual assistants acting as an agent as a service. By facilitating natural language interactions, employing advanced algorithms and large language models, and spanning from customer support to virtual assistants, conversational AI endeavors to create seamless and user-friendly interactions. The system also provides automated responses and scalability for businesses which is powered by React, Django, Python, and AI.

GrabKnock
Restaurants solution for Online Food, Web Ordering, Mobile apps, Take-outs and Delivery. GrabKnock is a new digital unique platform for the South Asian Restaurants system that helps keep business smooth and error free. It enables customers to place orders with the best of comfort and convenience and helps restaurants in managing orders on the go and get notified with Push Notification, Email and Text. Customers order using Web-Ordering or Mobile App anywhere anytime, and then Restaurant receives the order and confirms it.

VSorts
A cloud-based web application that employs easy-to-use user interfaces, AI-enhanced qualitative analysis tools, and data visualization to illuminate social, cultural, or contextual biases and social risk for users and organizations across diverse sectors. Making cultural intelligence simple and accessible with out-of-the-box dashboards and activities. Reducing social fiction through AI-Enhanced qualitative analysis tools with instant data analysis and visualization. User-friendly interface for seamless navigation which is ideal for sectors such as education, healthcare, and law enforcement.

NLP Analysis of Diversity Feedback in Employee Surveys
This project aims to improve the analysis of diversity-related feedback in employee surveys by developing efficient NLP solutions. It focuses on mitigating biases, ensuring fair representation of underrepresented voices, and considering the impact of organizational context. Addressing the challenge of analyzing qualitative responses in employee surveys involves leveraging algorithmic solutions to efficiently capture tone, emotions, themes, and patterns. Additionally, examining organizational context and developing tools for fair and accurate analysis aim to save time and resources while promoting better data dissemination.

Gupta, A., Maly, K. J., Abdel-Wahab, H. M., Wild, C., Overstreet, C. Michael., Abdel Hamid, A., Ghanem, S. and Zhu, X. (2001). "An Architecture and Initial Performance Data for a JVA-based Distance Education System". ACM Journal of Educational Resources in Computing Vol. 1 (No.1).
Gupta, A., Maly, K. J., Abdel-Wahab, H. M., Overstreet, C. Michael., Wild, C., Youssef, A., Stoica, E., Al-Shaer, E. and Talla, R. (1997). "Interactive Distance Learning over Intranets". IEEE Journal of Internet Computing Vol. 1 (1) , pp. pp. 60-71.