Data Scientist

JOYDIP BARMAN, Ph.D.

CITIZENSHIP STATUS – Permanent Resident

EDUCATION

M.B.A., Business Administration, University of Alabama at Birmingham (UAB) April, 2015

Ph.D., Biomedical Engineering, UAB, Birmingham, AL May, 2012

M.S., Electrical Engineering, UAB, Birmingham, AL May, 2004

B.E., Instrumentation Engineering, Mumbai University, Mumbai, India June, 2000

PROFESSIONAL EXPERIENCE

Apr’ 14 – Present: Clinical Database Manager and Data Scientist, Departments of Anesthesiology and Health Care Organization & Policy, UAB

Conduct research studies to evaluate perioperative surgical home using clinical, quality, patient safety, operational, and financial outcomes data (Big data)

Implement standardized protocols for quality improvement and optimization of treatment regimens for surgical patient conditions using hospital EMR informatics systems

Manage database for clinical patient data (Big Data) using Cerner Enterprise Data Warehousing systems, Oracle database, and other hospital RDBMS

Data extraction, processing, integration, and reporting for patient data analytics

using complex data mining SQL queries from hospital EMR systems – Cerner PowerInsight SAP Business Intelligence Interface

from McKesson, GE Centricity IDX, Horizon, HealthQuest databases

visualization of data in SAP Crystal Reports, Tableau

Build real time interface and data integration (ETL) using Talend Open Studio, SOA, Hadoop (Spark, Hive, Pig) for Big Data, and NoSQL database for visualization of clinical patient data

Modeling, ad-hoc, and statistical forecasting analysis of clinical patient outcomes data using SAS macros, SPSS, R – time-series models, logistic regression predictions, multivariate regression, survival analysis, trend models and analysis, survey analysis

Clinical Decision Support – develop predictive, machine learning, and neural network models for optimization of patient outcomes in Scikit-Learn – support vector machines, bootstrap aggregation, boosting, decision trees

Develop Natural Language Processing methods processing of unstructured, text-based medical records using pattern recognition algorithms in Apache OpenNLP and Python Natural Language Toolkit

Develop customized algorithms to process large datasets using VB.NET and Excel macros

GIS mapping of data to perform location and proximity analysis using cluster and buffer methods

Develop IRB protocols/applications and amendments for research studies

Agile development and collaboration with cross-disciplinary teams involving physicians, nursing staff, administrative personnel, and hospital IT

Sep’ 03 – Mar’ 14: Research Engineer and Data Analyst, Constrained-Induced (CI) Therapy Research Group, UAB

Designed & Developed a new objective measure of arm use using prototype proximity sensor, RFID and accelerometry; a collaborative research between UAB CI Therapy Research Group, and ActiveWave Inc.

Design, Development & Clinical Trial of Tele-AutoCITE, an automated telerehabilitation system for rehabilitation of arm and hand after stroke; a collaborative research between UAB CI Therapy Group, Catholic University of America, and MedStar National Rehabilitation Center

Design, Development & Clinical Trial of Driver’s SEAT, a rehabilitation system based on a novel driving simulator for rehabilitation of arm and hand after stroke; a collaborative research between UAB CI Therapy Research Group, and Stanford University

Modeling, ad-hoc and statistical forecasting analysis of research patient treatment and outcomes data using SAS macros, SPSS, Python, R – time-series models, logistic regression predictions, multivariate regression, survival analysis, trend models and analysis, survey analysis

Clinical Decision Support – develop predictive, machine learning, and neural network models to help with patient rehabilitation in Matlab Mathworks using random forest, support vector machines, and decision trees algorithms

Develop Natural Language Processing methods processing of unstructured, text-based medical records using pattern recognition algorithms in Matlab, VB.Net

Designed & Developed –

AGILE development strategies for graphic user interface and algorithms for hardware communication and data processing in C#, VB.NET, LABVIEW, and MATLAB

RTOS Embedded Systems software for Motorola Microcontroller 68000

rehabilitation tasks using switches, magnetic and capacitive touch sensors, magnetometer, RFID tags and readers, force and pressure sensors, fiber optic sensors

a new objective measure for speech recording and analysis using throat microphone for rehabilitation of patients with aphasia

data management system in SQL Server, MySQL, MS Access and produce reports in Excel

data extraction, processing, integration, and reporting for patient data analytics

Design, Construction & Modification of prototype PCBs for rehabilitation engineering devices

Develop IRB protocols/applications and amendments for research studies

Feb’ 09 – Dec’ 11: PhD Dissertation Project & Co-Investigator NCMRR Research Grant

Dissertation Title: Sensor-enabled RFID System for Monitoring Arm Activity in Daily Life

Designed & Developed –

a RFID system paired with accelerometers and prototype proximity sensors to objectively measure arm use for daily life activities (drinking coffee or reading a book)

prototype PCB in Eagle software for development of RF proximity sensor

a VB.NET software for user interface and information management system involving data acquisition, storage, processing, and analysis

data management system in SQL Server, MS Access and produce reports in Excel

machine learning algorithm to predict, adapt, and provide feedback

IRB approved study to test the system with college students – 35 participants

Statistical Analysis of data using SAS, SPSS, R

Aug’01 – Aug’ 03: Master’s Thesis & Graduate Assistant at Department of ECE, UAB

Thesis Title: Intelligent Fuzzy-Logic System for Lower Extremity CI Movement Therapy for Stroke Rehabilitation using Goniometer measurements

Designed & Developed –

RTOS embedded algorithms on IAR workbench (C++) and fuzzyTECH for Motorola Microcontroller 68000 series for Stroke Rehab projects

software in C++ for data acquisition & feedback for Motorola Microcontroller & simulation in MATLAB and SIMULINK

prototype PCB signal conditioning circuit for sensor signal processing

predictive analysis and fuzzy-logic algorithm for adaptive goal adjustments in fuzzyTECH

C++ software for Storage & Analysis of essential patient information

HMI algorithms on LABVIEW for automation of treatment procedures for Stroke Rehab

data management system in SQL Server, MS Access and produce reports in Excel

Testing, Installation & Maintenance of rehabilitation equipments

Conducted lab sessions for Industrial Control course on Wonderware InTouch and InControl

Jun’ 99 – May’ 00: Industrial Project

Title: Development of Data Acquisition and Analyzing System for Primary Flow Calibration Facility

Developed C++ software for –

data acquisition of plant variables (flow, temperature & pressure)

signal conditioning of the plant variables

graphic user interface or HMI for the plant, produce reports of the plant data

Jun’ 04 – May’ 05: Independent Project

Title: Development of Prototype Body Temperature Monitoring and Alarm System

Developed a prototype to monitor the body temperature of football players & to alarm them to prevent hospitalization due to heat strokes and heat exhaustion

Designed & developed PCB and circuitry for the patent pending prototype

Industrial Training & Project Development

Training program on, “Industrial Automation and Programming”, conducted by Analogic Power Systems and certified by “Allen-Bradley”

Mastered Programmable Logic Controller (PLC) programming, PLC hardware interfacing, and control panel engineering on Allen Bradley PLCs

TEACHING EXPERIENCE

2012 – Present: Adjunct Faculty, School of Business, University of Phoenix, Birmingham, AL

Instructor and mentor for graduate and undergraduate Business Research for Project

Management, Quantitative Analysis for Business, Business Statistics, and Mathematics

Conduct team based projects and class activities

Develop course exams and study material for campus and online classes

Teach online utilizing University’s eCampus software

2008 – 2010: Adjunct Faculty, Manufacturing and Technology Center, Jefferson State Community College, Birmingham, AL

Instructor for Programmable Logic Controllers course

Conduct laboratory sessions utilizing theoretical skills to develop software algorithms for real life scenarios

Administer paper and computer based tests for course evaluations

2001 – 2002: Graduate Assistant Instructor, Dept. of Electrical and Computer Engineering, UAB

Conduct lab sessions for undergraduate industrial control course on Wonderware InTouch and InControl software

Instruct and guide students in building simulation software algorithms for industrial control applications

Help build course evaluation tests, grade papers and simulation algorithms

COMPUTER SKILLS

Software: GIS, Matlab, Simulink, Labview, IAR Workbench, fuzzyTECH, PLC programming, RS-View, SCADA, Wonderware InTouch and InControl, SAS 9.4, SPSS, R, and Microsoft Office

Big Data and ETL: Talend Open Studio, Hadoop (HDFS, Hive, Pig, MapReduce, Spark), SAP Business Objects, SOA

EDW and EMR Software: Cerner IMPACT, Cerner PowerInsight SAP Business Objects BI, McKesson, GE Centricity IDX, Horizon, HealthQuest

Languages: Basic, VB.NET, C#, C++, Java, Advanced Java

Database: Oracle, MS SQL Server, MySQL, PostgreSQL, MS Access

Scripting languages: PHP, JavaScript, HTML, XML, ASP

Operating System: DOS, Windows, Unix, Linux

PEER–REVIEWED PUBLICATIONS

1.Vetter, T, Barman, J, Jones, K, Hunter, J, & Pittet, JF. (2016). A Cohort Study of the Effects of the Sequentially Implemented Preoperative and Postoperative Care Elements of a Perioperative Surgical Home Model. Submitted to Journal of Anesthesiology.

2.Brooks, B, Barman, J, Ponce, B, Sides, A, & Vetter, T. (2016). An Electronic Surgical Order, Undertaking Patient Education, and Obtaining Informed Consent for Regional Analgesia Before the Day of Surgery Reduces Block-Related Delays. Submitted to the Journal of Bone and Joint Surgery.

3.Vetter, T, Barman, J, Boudreaux, A, & Jones, K. (2015). Perceptions about the Relative Importance of Patient Care-Related Topics: A Single Institutional Survey of Its Anesthesiologists, Nurse Anesthetists, and Surgeons. Submitted to BMC Anesthesiology.

4.Sokal, B., Uswatte, G., Vogtle, L., Byrom, E., & Barman, J. (2015). Everyday movement and use of the arms: relationship in children with hemiparesis differs from adults. Journal of Pediatric Rehabilitation Medicine.

5.Sokal, B., Uswatte, G., Barman, J., Brewer, M., Byrom, E., Latten, J., Joseph, J., Serafim, C., Ghaffari, T., Sarkar, N. (2014). Network of Movement and Proximity Sensors for Monitoring Upper-Extremity Motor Activity after Stroke: Proof of Principle. Archives of Physical Medicine and Rehabilitation, 95:499-505.

6.Taub, E., Uswatte, G., Mark, V.W., Morris, D.M., Barman, J., Bowman, M.H., Bryson, C., Delgado, A., Bishop-McKay, S. (2013). Method for enhancing real-world use of a more-affected arm in chronic stroke: the transfer package of CI therapy. Stroke, 44(5):1383-8.

7.Uswatte, G., Taub, E., Griffin, A., Rowe, J., Vogtle, L., & Barman, J. (2012). Pediatric Arm Function Test: reliability and validity for assessing more-affected arm motor capacity in children with cerebral palsy. American Journal of Physical Rehabilitation & Medicine, 91(12), 1060-9.

8.Barman, J., Uswatte, G., Sarkar, N., Ghaffari, T., Sokal, B., et al. (2012) Sensor-enabled RFID System for Monitoring Arm Activity: Reliability and Validity. IEEE Transactions of Neural System and Rehabilitation Engineering, 20:6, 771-777.

9.Uswatte, G., Taub, E., Griffin, A., Vogtle, L., Rowe, J., & Barman, J. (2012). The Pediatric Motor Activity Log-Revised: assessing real-world arm use in children with cerebral palsy. Rehabilitation Psychology, 57, 149-158.

10.Barman, J., Uswatte, G., Sarkar, N., Ghaffari, T., Sokal, B., et al. (2011) Sensor-enabled Radio Frequency Identification Tags for Remotely Monitoring Everyday Arm Activity: Sensitivity and Specificity. 2011 Annual Cong. of Rehabilitation Medicine.

11.Barman, J., Uswatte, G., Sarkar, N., Ghaffari, T., & Sokal, B. (2011) Sensor-Enabled RFID System for Monitoring Arm Activity in Daily Life. 2011 IEEE Annual International Conf. proceedings for Engineering in Medicine and Biology Society.

12.Brennan, D., Lum, P., Uswatte, G., Taub, E., Brendan, G., & Barman, J. (2011). A telerehabilitation platform for home-based automated therapy of arm function. 2011 IEEE Annual International Conference proceedings for Engineering in Medicine and Biology Society.

13.Taub, E., Uswatte, G., Gauthier, L., Bowman, M., Mark, V., Morris, D., Bryson, C., McKay, S., Delgado, A., Barman, J., & Perkins, C. (2008 Online). CI therapy: factors driving real world gains and neuroplasticity after stroke, Program No. 1437.8/U2 [Abstract]. 2008 Abstract Viewer/Itinerary Planner. Washington, DC: Society for Neuroscience.

14.Uswatte, G., Bowman, M., Taub, E., Bryson, C., Morris, D., McKay, S., Barman, J., & Mark, V. (2008). Constraint-Induced Movement Therapy for rehabilitating arm use in stroke survivors with plegic hands [Abstract]. Archives of Physical Medicine and Rehabilitation, 89 (10), E9.

15.Morris, D., Shaw, S., Mark, V., Uswatte, G., Barman, J., & Taub, E. (2006). The influence of neuropsychological characteristics on the use of CI therapy with persons with traumatic brain injury. NeuroRehabilitation, 21, 131-137.

16.Uswatte, G., Taub, E., Morris, D., Barman, J., & Crago, J. (2006). Contribution of the shaping and restraint components of Constraint-Induced Movement therapy to treatment outcome. NeuroRehabilitation, 21, 147-156.

PRESENTATIONS at NATIONAL & INTERNATIONAL MEETINGS

1.Brooks, B., Barman, J., Sides, A., & Vetter, T. R. (2015, May). Patient Education and Obtaining Informed Consent for Regional Anesthesia before the Day of Surgery Reduces Block-Related Delays. Poster presented at the 40th Annual Regional Anesthesiology and Acute Pain Medicine Meeting.

2.Barman, J., Uswatte, G., Sarkar, N., Ghaffari, T., Sokal, B., et al. (2011, October) Sensor-enabled Radio Frequency Identification Tags for Remotely Monitoring Everyday Arm Activity: Sensitivity and Specificity. Poster presented at the Annual Congress of Rehabilitation Medicine.

3.Barman, J., Uswatte, G., Sarkar, N., Ghaffari, T., & Sokal, B. (2011, August) Sensor-Enabled RFID System for Monitoring Arm Activity in Daily Life. Poster presented at the 33rd Annual IEEE International Conference of the Engineering in Medicine and Biology Society, Boston, MA.

4.Brennan, D., Lum, P., Uswatte, G., Taub, E., Brendan, G., & Barman, J. (2011, August). A telerehabilitation platform for home-based automated therapy of arm function. Oral presentation at the 33rd Annual IEEE International Conference of the Engineering in Medicine and Biology Society, Boston, MA.

5.Sokal, B., Uswatte, G., Wright, R., Taub, E., Mark, V. W., Morris, D., Brennan, D., Trinh, E., & Barman, J. (2011, February). Correspondence between cardiovascular indices of effort and upper-extremity task difficulty in multiple sclerosis. Poster presented at Rehabilitation Psychology 2011, Jacksonville, FL.

6.Flippo, S., Uswatte, G., Brennan, D., Taub, E., Lum, P. S., Gilmore, B., Barman, J., Bowman, M., McKay, S., Mark, V. W., Dauro, A., & Ford, W. (2011, February). Feasibility of using telerehabilitation to deliver Constraint-Induced Movement therapy. Poster presented at Rehabilitation Psychology 2011, Jacksonville, FL.

7.Uswatte, G., Barman, J., Sarkar, N., Ghaffari, T., Sokal, B., et al. (2010, November). Assessing the Real-world Impact of Clinical Interventions and Outcomes: The Science of Ambulatory Assessment. Oral presentation at the 2011 Society for Ambulatory Assessment Conference, Ann Arbor, MI.

8.Uswatte, G., Lum, P. S., Taub, E., Brennan, D., Gilmore, B., & Barman, J. (2010, August). Feasibility of delivering Constraint-Induced Movement therapy via telerehabilitation. Poster presented at the Annual Convention of the American Psychological Association, San Diego, CA

9.Taub, E., Uswatte, G., Gauthier, L., Bowman, M., Mark, V., Morris, D., Bryson, C., McKay, S., Delgado, A., Barman, J., & Perkins, C. (2008, November). CI therapy: factors driving real world gains and neuroplasticity after stroke. Poster presented at the Annual Meeting of the Society for Neuroscience, Washington, D.C.

10.Uswatte, G., Bowman, M., Taub, E., Bryson, C., Morris, D., McKay, S., Barman, J., & Mark, V. (2008, October). Constraint-Induced Movement Therapy for rehabilitating arm use in stroke survivors with plegic hands. Presented at the Annual Meeting of the American Congress of Rehabilitation Medicine. Toronto, CAN.

Contact this candidate