Predictive Analytics Lab (PAL)

The goal of our research is to develop wearable sensor system and the associated algorithms for the prediction of life-threatening events in humans. Our focus is to develop systems for the prediction of apnea, bradycardia and hypoxia in preterm infants, detection of suicidal ideation in individuals with mental health conditions, and detection of cravings in individuals with substance abuse. Our work is funded by grants from National Institute of Health, National Science Foundation and Department of Veterans’ Affairs.

Wearable Sensors To Improve Mental Health

Wearable sensor based framework for drug craving detection

We have been involved in the development of signal processing algorithms for the detection of mental health conditions using data collected using wearable sensors. Using gross body movement data collected with wearable sensors, we are developing innovative algorithms to detect suicidal ideation in individuals with depression, cravings and stress in individuals with substance abuse and effect of opioid toxicity.

Prediction of Life Threatening Events in Preterm Infants.

Apnea, a pause in breathing, is common in preterm infants (neonates). Respiratory pauses lasting beyond twenty seconds result in dangerously low tissue oxygen levels that can cause damage to the heart, lungs, and brain. Many low-weight, pre-term infants subsequently exhibit neurobehavioral problems, including deficits in cognitive function, neuropsychological abilities and academic achievement which may be related to recurrence of apnea of prematurity or to the indirect consequences of chemical interventions used to treat the life threatening cessations in breathing. We focus on developing signal processing and machine learning algorithms to predict the apnea and bradycardia.


Laboratory Director:

Permananda Indic, PhD

Dr. Premananda Indic joined as an assistant professor in the Department of Electrical Engineering at UT Tyler in Fall 2016. He completed his postdoctoral training in medicine from Harvard Medical School in 2004, obtained his Ph.D. from faculty of technology at the Cochin University of Science and Technology, India in 2001, an M. Tech. degree in electrical engineering and B. Tech. degree in electrical & electronics engineering, both from the University of Calicut, India. Prior to joining UT Tyler, he was a faculty member in the Department of Neurology at the University of Massachusetts Medical School.

Dr. Indic is a Principal Investigator (Analytical Core) of a National Institute of Health UO1 grant as well as SBIR grant and a Co-Principal Investigator on a National Science Foundation training grant. He is also a co-investigator on a Department of Veterans Affairs grant that focuses on developing algorithms for the detection of suicidal ideation in military veterans. 

Dr. Indic is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)

Undergraduate Researcher:

Sloke Shrestha,

B.S in Electrical Engineering (2022), Minor in Mathematics.

Mr. Shrestha is currently working on developing machine learning algorithms to detect drug craving in patients with substance use disorder. He is also involved in a project concerning prediction of life threatening events in preterm infants.

He was awarded the presidential fellowship award on Fall 2018. He has been mentioned in the Presidential Fellow Newsletters. He is also listed in the president’s honor roll.



Undergraduate Researcher:

Joshua Stapp, B.S in Electrical Engineering (2020)

Graduate Researcher:

Mohammed Alenazi, M.S in Electrical Engineering (2020)

Research Associate:

Pravitha Ramanand, PhD


Apurupa Amperayani, Former Graduate Researcher

Keerthi Kumar Chintha, Former Graduate Researcher

Pallavi Atluri, Former Graduate Researcher

Shambhavi Adhikari, Former Graduate Researcher

Jonathan Wells, Former Undergraduate Researcher

Selorm Darkey, Former Graduate Researcher