Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
R
Richard S. Segall
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: University of Massachusetts Lowell (1988–1989); Georgia College & State University (1995); University of Louisville (1991–1993); University of New Hampshire (1989–1990); University of Massachusetts Amherst (1984); Whitney Museum of American Art (1995); Decision Sciences (United States) (1998–2004)
Faculty Researcher
11 h-index
118 pubs
435 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Richard S. Segall's research spans artificial intelligence, machine learning, and quantitative forecasting, with recent work focusing on applications in diverse fields. He has investigated the use of machine learning and neural networks for predicting infectious diseases, including COVID-19, and has explored AI applications in trans-disciplinary communications, such as the capabilities of ChatGPT. His work also includes developing customer service chatbots using Python and AI. In quantitative technology forecasting, Segall has reviewed trend extrapolation methods and explored modeling trends in spacecraft lifespan based on time and budget constraints. He has also contributed to surveys of open-source statistical software and their data processing functionalities. Segall has a significant publication record, with 118 total publications and 433 citations, and an h-index of 10. He has collaborated with researchers from the University of Arkansas at Little Rock, including Daniel Berleant, Peng-Hung Tsai, and Michael Howell, as well as Prasanna Rajbhandari from Arkansas State University.
Metrics
- h-index: 11
- Publications: 118
- Citations: 435
Selected Publications
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Artificial Intelligence and Machine Learning Framework for Smart Manufacturing Optimization (2026)
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Integrated Data Analytics, Business Intelligence, and Machine Learning Architecture for SMEs (2026)
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Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads (2026)
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The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence (2026)
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Unified Federated AI Framework for Credit Scoring (2026)
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Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective (2025)
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Case Study on Understanding the Power of Retrieval Augmented Generation (RAG) (2025)
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Big Data Integration in Genomic Analysis (2025)
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Abstract P3086: Future Heart Motion Measurements in Deep Learning-based Predictive Imaging (2025)
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Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use? (2024)
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Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases (2024)
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Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants (2024)
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Image Processing of Big Data for Plant Diseases of Four Different Plant Categories (2024)
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Predicting Future Participation of Women in Space by Analyzing Past Trends (2024)
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A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence (2024)
Collaboration Network
Top Collaborators
Venkata Jaipal Reddy Batthula
Southwestern College - Kansas (US)
9 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Post-Pandemic Analysis of the Broader Impact of COVID-19 on the World's Economy, Health and Education
Showing 5 of 9 shared publications
Daniel Berleant
University of Arkansas at Little Rock
8 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Is technological progress a random walk? Examining data from space travel
Showing 5 of 8 shared publications
Hyacinthe Aboudja
Oklahoma City University (US)
7 shared publications
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Is technological progress a random walk? Examining data from space travel
Showing 5 of 7 shared publications
Peng-Hung Tsai
University of Arkansas at Little Rock
6 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
- Is technological progress a random walk? Examining data from space travel
- Future Satellite Lifetime Prediction From the Historical Trend in Satellite Half-Lives
Showing 5 of 6 shared publications
Prasanna Rajbhandari
Arkansas State University
4 shared publications
In database
- Image Processing of Big Data for Plant Diseases of Four Different Plant Categories
- Big Data Visualization for Black Sigatoka Disease of Bananas and Pathogen–Host Interactions (PHI) of Other Plants
- Big Data Integration in Genomic Analysis
- The Convergence of Big Data and AI Through Learning-Based Methods for Business Intelligence
Gao Niu
Bryant University (US)
3 shared publications
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
- Overview of Big Data and Its Visualization
- Overview of Big Data-Intensive Storage and its Technologies for Cloud and Fog Computing
Michael Howell
University of Arkansas at Little Rock
3 shared publications
In database
- Quantitative Technology Forecasting: A Review of Trend Extrapolation Methods
- Spacecraft for Deep Space Exploration: Combining Time and Budget to Model the Trend in Lifespan
- Is technological progress a random walk? Examining data from space travel
Arjun Kaarat
Walmart (United States) (US)
3 shared publications
- Comparative Analysis of Edge vs. Cloud Contact Center Deployments: A Technical and Architectural Perspective
- Unified Federated AI Framework for Credit Scoring
- Fitting the Void: Residual-Aware Geometric Packing for GenAI Workloads
Lu Shen
University of South Florida (US)
2 shared publications
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
Les A. Piegl
University of South Florida (US)
2 shared publications
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
- Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs
Vidhya Sankarasubbu
Arkansas State University
2 shared publications
In database
- Survey of Recent Applications of Artificial Intelligence for Detection and Analysis of COVID-19 and Other Infectious Diseases
- Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools
Ty Ebsen
University of Arkansas at Little Rock
2 shared publications
In database
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
- A Customer Service Chatbot Using Python, Machine Learning, and Artificial Intelligence
Shalina Sultana Champa
Arkansas State University
2 shared publications
In database
- Integrated Data Analytics, Business Intelligence, and Machine Learning Architecture for SMEs
- Artificial Intelligence and Machine Learning Framework for Smart Manufacturing Optimization
Zichen Zhao
Yale University (US)
1 shared publication
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
Zhijian Wu
New York University (US)
1 shared publication
- A Survey of Open Source Statistical Software (OSSS) and Their Data Processing Functionalities
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