THE UNIVERSITY OF TEXAS AT TYLER Æ College of Engineering Æ odtc ucdlieto sn inl bandfo we a dev app from have patent obtained I signals a using addition, ideation In filed suicidal company. detect We device developed to medical . a that infants to preterm school Wy licensed from in Medical engineers/scientists events of Massachusetts threatening team i a of of premature sup member University been a in been has apnea have research I predicting My in depression. Affairs. been major has technol with wearable individuals using focus algorithms designing Our processing on events. signal focusing developing and been signals have methods and We systems developing events. on focuses group research My Interests:Research Program Chair, NSFSCH Workshop 2016 NSFStudy Section Member • 2016 Chair, • Minisymposium, SIAM/SMB 2006 1996 Honors in M.Tech • • Honors and Awards: Medicine, Harvard Biomathematical Modeling - Postdoc. Postdoctoral Training: Electrical Electronics & Engineering, Uni Electrical Engineering, University of Calicu B.Tech. Nonlinear Signal Processing, Cochin Universit M.Tech. Ph.D. Education: Assistant Assistant Professor Electrical Engineering Premananda P Indic, PremanandaIndic, Ph.D.P The The University of Texas at Tyler versity of Calicut, 1992 t, t, India, 1996 y, India, 2001 University, 2004 rbewth(iia oFitBit). to (similar watch arable hs inl opeitlf threatening life predict to signals these lpdasga rcsigalgorithms processing signal a eloped iainadtetcnlg sbeing is technology the and lication otdb S,NHadVeterans and NIH NSF, by ported asatmtrs”t euelife reduce to mattress” smart “a o h rvnino iethreatening life of prevention the for sisiueHradUiest and University institute-Harvard ss ge o atrn physiological capturing for ogies fnsadsiia dainin ideation suicidal and nfants Premananda Premananda P. Indic, Ph.D. THE UNIVERSITY OF TEXAS AT TYLER Æ College of Engineering Æ Areas Areas of Research Interest Select Publications: Developing Predictive Analytics • Designing a wearable sensor system for monitoring • Individuals with Major Depression System for the Prediction of Suicidal Ideation in Developing Predictive Analytics using Big Data • Designing wearable sensors for monitoring • in Preterm Infants: System for the Prediction of Life Threatening Event Developing Predictive Analytics • Designing a wearable sensor system for monitoring • Addiction System for the Prediction of Cravings in Individual Indic P, D, Gee BarbieriA, R, Paydarfar Indic P, Indic P, K, Wittbold A, Carreiro D, Gee BarbieriA, R, Paydarfar activity, temperature and heart rate approach respiration, movement and heart rate galvanic skin response, temperature and activity Biology Society, IEEE Engineering Medicine Biology Society, thoughts in major depression. neonates. process modeling framework. Medical Toxicology (in press) Paydarfar D, D, Barbieri R. A point process model of respiratorydynamics Paydarfar Murray G, Maggini C, Amore M, Meschi T, Borghi L, Baldessarini RJ, Salvat RJ, L,Baldessarini T, Borghi C, Amore M, Meschi Murray G, Maggini D, Barbieri R. A point process model of inter-breath interva Paydarfar IEEE IEEE Trans Biomed Eng. 2011, 3804-3807 Indic P , Fang H, Zhang J, Boyer E, Wearable biosensors to detect physiological changes Indic P. Indic P. LSONEPLoS IEEE IEEE Trans. Biomed. Eng. , 2013, 60(10), 2858-2866 Uncovering statistical features of bradycardia severityin prem Predicting bradycardia in premature infants using instantaneous estimat 2012, 7(6): e38761. 2015 58555-5858 (under revision ) s with l: a new approach for the assessmentof instability of breathing in Respiration s in early physiological development. Rate Heart Oxygen Blood- Processing Signal ore P. Multi-scale motilityamplitude associated with suicidal BigData Smart System for Preterm Preterm for Infants SystemSmart ature infants using a point process model. Learning Machine ion of heart rate froma point during opioid use. Journal of IEEE IEEE Engineering Medicine Premananda Premananda P. Indic, Ph.D. Prediction Evaluation& Intervention