An architecture of a knowledge-based simulation engine. - Madhav Erraguntla; Perakath C. Benjamin; Richard J. Mayer (WSC, 1994)

Formal model of single agent planning situations. - Richard J. Mayer; Madhav Erraguntla; Christopher Menzel; Jyh Chen Hwang (J. Syst. Integr., 1994)

Using Simulation for Robust System Design. - Perakath C. Benjamin; Madhav Erraguntla; Richard J. Mayer (Simul., 1995)

An Introduction to Using ProSim for Business Process Simulation and Analysis. - Malay Dalal; Madhav Erraguntla; Perakath C. Benjamin (WSC, 1997)

A Framework for Adaptive Process Modeling and Execution (FAME). - Perakath C. Benjamin; Madhav Erraguntla; Richard J. Mayer; Michael K. Painter; Charles Marshall (WETICE, 1998)

An Introduction to Simulation Using ProSim for Business Process Simulation and Analysis. - Perakath C. Benjamin; Dursun Delen; Madhav Erraguntla (WSC, 1998)

Simulation Modeling at Multiple Levels of Abstraction. - Perakath C. Benjamin; Madhav Erraguntla; Dursun Delen; Richard J. Mayer (WSC, 1998)

Integrated Modeling and Analysis Generator Environment (IMAGE): A Decision Support Tool. - Dursun Delen; Perakath C. Benjamin; Madhav Erraguntla (WSC, 1998)

An integrated toolkit for enterprise modeling and analysis. - Dursun Delen; Perakath C. Benjamin; Madhav Erraguntla (WSC, 1999)

A Knowledge Based Framework for The Design of Soft-Computing Systems. - Satheesh Ramachandran; Madhav Erraguntla; Perakath C. Benjamin (IIP, 2002)

Methods and tools for aerospace operations modeling and simulation: Toolkit for Enabling Adaptive Modeling and Simulation (TEAMS). - Perakath C. Benjamin; Mike Graul; Madhav Erraguntla (WSC, 2002)

Towards a Method for Ontology Driven Systems Reengineering (ODSR). - Perakath C. Benjamin; Satheesh Ramachandran; Madhav Erraguntla (IC-AI, 2005)

Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management. - Michael K. Painter; Madhav Erraguntla; Gary L. Hogg Jr.; Brian Beachkofski (WSC, 2006)

Medical Material Management Support Using Data Mining and Analytics. - Richard J. Mayer; Madhav Erraguntla (AMCIS, 2007)

Data Mining in Military Health Systems - Clinical and Administrative Applications. - Satheesh Ramachandran; Madhav Erraguntla; Richard J. Mayer; Perakath C. Benjamin (CASE, 2007)

Avian Influenza Datamining Using Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT). - Madhav Erraguntla; Satheesh Ramachandran; Chang-Nien Wu; Richard J. Mayer (HICSS, 2010)

Better management of blood supply-chain with GIS-based analytics. - Dursun Delen; Madhav Erraguntla; Richard J. Mayer; Chang-Nien Wu (Ann. Oper. Res., 2011)

Inference of Missing ICD 9 Codes Using Text Mining and Nearest Neighbor Techniques. - Madhav Erraguntla; Belita Gopal; Satheesh Ramachandran; Richard J. Mayer (HICSS, 2012)

Data Mining to Improve Safety of Blood Donation Process. - Madhav Erraguntla; Peter Tomasulo; Kevin Land; Hany Kamel; Marjorie Bravo; Barbee Whitaker; Richard J. Mayer; Sarita Khaire (HICSS, 2014)

Data Integration and Predictive Analysis System for Disease Prophylaxis. - Madhav Erraguntla; John Freeze; Dursun Delen; Karthic Madanagopal; Richard J. Mayer; Jam Khojasteh (HICSS, 2017)

Data Integration and Predictive Analysis System for Disease Prophylaxis: Incorporating Dengue Fever Forecasts. - John Freeze; Madhav Erraguntla; Akshans Verma (HICSS, 2018)

Spectral Analysis of Hand Tremors Induced During a Fatigue Test. - Lilia Aljihmani; Yibo Zhu; Hasan T. Abbas; Ranjana K. Mehta; Farzan Sasangohar; Madhav Erraguntla; Qammer H. Abbasi; Khalid A. Qaraqe (CBMS, 2019)

Features of Physiological Tremor in Diabetic Patients. - Lilia Aljihmani; Hasan T. Abbas; Yibo Zhu; Ranjana K. Mehta; Farzan Sasangohar; Madhav Erraguntla; Mark Lawley; Qammer H. Abbasi; Khalid A. Qaraqe (ISC2, 2019)

Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management. - Madhav Erraguntla; Josef Zapletal; Mark Lawley (Health Informatics J., 2019)

The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies. - Joseph K. Nuamah; Farzan Sasangohar; Madhav Erraguntla; Ranjana K. Mehta (BMC Medical Informatics Decis. Mak., 2019)

Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement. - Ineen Sultana; Madhav Erraguntla; Hye-Chung Kum; Dursun Delen; Mark Lawley (BMC Medical Informatics Decis. Mak., 2019)

Correction to: The past, present and future of opioid withdrawal assessment: a scoping review of scales and technologies. - Joseph K. Nuamah; Farzan Sasangohar; Madhav Erraguntla; Ranjana K. Mehta (BMC Medical Informatics Decis. Mak., 2019)

Classification of Fatigue Phases in Healthy and Diabetic Adults Using Wearable Sensor. - Lilia Aljihmani; Oussama Kerdjidj; Yibo Zhu; Ranjana K. Mehta; Madhav Erraguntla; Farzan Sasangohar; Khalid A. Qaraqe (Sensors, 2020)

Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning. - Samira Ziyadidegan; Moein Razavi; Homa Pesarakli; Amir Hossein Javid; Madhav Erraguntla (CoRR, 2021)

Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-Task Learning. - Mu Yang; Darpit Dave; Madhav Erraguntla; Gerard L. Coté; Ricardo Gutierrez-Osuna (ICASSP, 2022)

Hand tremor-based hypoglycemia detection and prediction in adolescents with type 1 diabetes. - Lilia Aljihmani; Oussama Kerdjidj; Goran Petrovski; Madhav Erraguntla; Farzan Sasangohar; Ranjana K. Mehta; Khalid A. Qaraqe (Biomed. Signal Process. Control., 2022)

Detection of glycemic excursions using morphological and time-domain ECG features. - Kathan Vyas; Carolina Villegas; Elizabeth Kubota-Mishra; Darpit Dave; Madhav Erraguntla; Gerard L. Coté; Daniel J. DeSalvo; Siripoom McKay; Ricardo Gutierrez-Osuna (BSN, 2023)

Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model. - Darpit Dave; Kathan Vyas; Gerard L. Coté; Madhav Erraguntla (Biomed. Signal Process. Control., 2024)

FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions. - Darpit Dave; Kathan Vyas; Jagadish Kumaran Jayagopal; Alfredo Garcia; Madhav Erraguntla; Mark Lawley (CoRR, 2024)