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Shyama Shah
**** * *** ****** #****, Bloomington, IN 47401, USA• 812-***-****• ********@**.*** https://sociophysio.org/
EDUCATION
Indiana University Bloomington, IN
Luddy School of Informatics, Computing and Engineering Aug 2018- Present Ph.D. candidate in Intelligent Systems Engineering, SICE Dean Fellowship Recipient Major: Bioengineering, (GPA:3.7/4)
Minor: Neuroengineering
Indiana University Bloomington, IN
Luddy School of Informatics, Computing and Engineering, SICE Dean Fellowship Recipient Aug 2018- 2020 MS in Intelligent Systems Engineering,
Major: Bioengineering, (GPA:3.7/4)
Minor: Neuroengineering
University of Rajasthan Jaipur, India
Center for Converging Technologies Jul 2010 – June 2016 Integrated M.Tech & B.Tech, The Prime Minister Fellowship Recipient Major: Cognitive & Neuroscience (Honors: 72%)
Minor: 1.) Information and Communication Tech & 2.) Biotech-Bioinformatics (Converging in NBIC) RESEARCH EXPERIENCE
IU Luddy School of Informatics, Computing and Engineering Bloomington, IN Doctoral Scholar Aug 2018-Present
• Initiated, designed, and executed 3 independent projects: Startle Blink, Neural Synchronization & r VNS
• Startle Blink:
o Developing a non-contact sensor to detect and compare the measurement of the startle-blink facial muscle response by the CMOS Camera/PhysioCam and by facial EMG, the study is IRB approved and subjects are scheduled, completed primary data collection and analysis (paper drafted). o Developed protocol and leading the team
• Neural synchronization:
o fNIRS (functional near-infrared spectroscopy) study to measure the neural synchronization and coupling in the prefrontal cortex.
o Comparative analysis of the data sets via MUSE-2 headsets.
• Neuro-prosthetics:
o BCI study to develop an EEG-fNIRS hybrid device to explore the possibilities of brain-computer interface using fNIRS wearable technology.
o Explore the cooperative use of EEG and fNIRS sensor. o Analyze and process the fNIRS data by inhouse developed deep learning models (CNN network) to extract relevant features.
• Vagal Efficiency and Vagal Tone:
o Monitoring the psychophysiological regulation of the hemodynamics of the heart (Heart Rate Variability and Respiratory Sinus Arrhythmia via the Vagus Nerve).
• Impacts of Respiratory Vagus Nerve Stimulation (rVNS) on Prefrontal Cortex Activation and Executive Functions:
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o Neuromonitoring the Prefrontal cortex during and after various breathing exercises, the study is under IRB review and pilot data collection and analysis have been done. o Aims include:
Establish a correlation between respiration, Prefrontal Cortex and Executive function
Establish a correlation between heart rate variability and PFC activation
Establish a correlation between respiratory induced vagus nerve stimulation and the prefrontal cortex activation (PFC) and eventually executive functions (EF),
How respiration induced elevation in EF changes over time, and
The impact of these factors on individuals.
o Developed protocol and leading the team
• Mentored and trained 2 High school, 8 undergrad students and 4 graduate MS students. The Kinsey Institute Bloomington, IN
Research Assistant Aug 2018 – July 2020
• Performed data and statistical analysis (Philips Actiwatch): o Effects of Seasonal Variation in Photoperiod on the Behaviors and Physiology of Icelandic Women. o Analysis of Activity and Sleep pattern.
• Biopac Systems:
o Developed a protocol to use the Biopac systems to collect the EMG signals. o Real-time data analysis, plotting of Python-based startle blink signals.
• Facial EMG study:
o Data collected for >40 subjects to replicate the facial EMG recordings with the Physiocam and/or CMOS camera setup.
• fNIRS study to track the attentional network in the prefrontal cortex of the brain.
• Data analysis:
o Evaluating the effectiveness of heart rate variability biofeedback for enhancing psychological resilience in members of the Reserve Component
SMS. Medical College and Hospital Jaipur, India
Research Assistant Oct 2015 - Aug 2018
• “Designing Cognitive Functioning Scale for Parkinson’s Disease-Indian Perspective” in the Department of Neurology.
• “Enhancement of EEG Brain Signals Using Different Tools in MATLAB” (Master’s thesis) Center for Converging Technologies, University of Rajasthan Jaipur, India Various posts (RA/intern) Oct 2012 – May 2017
• Drafted a research proposal in DST call, “Cognitive aspects of Meditation and Yoga-SATYAM”
• Study: “Cognitive Assessment and Enhancement using Osho Dynamic Meditation”
• NBIC Project on “Study of Mirror Neurons in Empathy”
• Psychosis, a case study on “Schizophrenia”
• LAMP project on “Personal Management system” using Linux, Apache, Mysql, PHP.
• NBIC Project on “Review of electrophysiological neuron mathematical Hodgkin and Huxley model”
• Comparative study of ZnS, Ag and TiO2 polymer nanocomposites for biomedical applications. Page 3 of 5 Shyama Shah-CV-04/2022
Clue by BioWink GmbH Berlin, Germany
Biostatistician May 2021 – Oct 2021
• Analysis on Covid and contraceptive analysis project o Survey data from the US on access to contraception during the covid pandemic o Data set from more than 13000 participants during (2020-2012) o Analysis and processing of data set was done and 2 papers are drafted which is under review for publication
COMPUTER SKILLS
• Operating Systems: WINDOWS XP/Vista/7/8/10, Linux – Fedora, and Ubuntu, Mac OS
• Languages: Python, MATLAB, C, C++, Java
Haskell (basic), SQL, PHP, Linux, HTML (basic)
• Technical skills: Microsoft office.
TEACHING EXPERIENCE
IU Luddy School of Informatics, Computing and Engineering Bloomington, IN Associate Instructor Fall 2020-Present
1. Wearable sensors (10391) Course: Fall 2020
a. Taught, drafted lectures for this graduate level course b. Mentored - to design and execute projects that measures and process psychophysiological signals (EEG, ECG, EMG, Heart Rate, HRV, Skin Conductance, EDA, PPG etc.) 2. Systems, Signals and Controls (E250) Course: Spring 2021 a. Taught, drafted lectures, graded assignments for this course b. Class size 40 students
3. Wearable sensors (10391) Course: Fall 2021
a. Taught, drafted lectures for this graduate level course b. Mentored - to design and execute projects that measures and process psychophysiological signals (EEG, ECG, EMG, Heart Rate, HRV, Skin Conductance, EDA, PPG etc.) 4. Materials, Machine and Mechanics (E 599) Course: Summer 2021 a. Taught, drafted lectures, graded assignments for this graduate level course b. Class size 10 students
5. Data Science of Physiological Time Series (E599-10299) Course: Spring 2022 a. Taught, drafted lectures, graded assignments for this course b. Data collection-Mock crime study- ECG, RSP, EDA, PPG using Biopac systems University of Rajasthan, Center for Converging Technologies Jaipur, India Lecturer Aug 2016- May 2 018
1. Neuroimaging and Cognition (804 C) Course:
a. Course Highlights- MRI, fMRI, CT scan, PET/SPCET, EEG, ECoG 2. Introduction to Computational Neuroscience (704 C) Course: a. Course Highlights-information Theory and Neural Coding, Networks, Plasticity, Supervised and unsupervised Learning.
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Jayshree Periwal International School Jaipur, India Physics Educator 2014-15
1. IB-High level Physics:
a. Taught, drafted lectures, graded for this High School-level course 2. IB-Standard level Physics:
a. Taught, drafted lectures for this High School-level course RELEVANT COURSES TAKEN
1. Psychophysiological Engineering (Data Science of Physiological time-series) 2. Signal Processing and Information Theory in Biology 3. Introduction to Intelligent Systems Engineering Program 4. Image Processing for Medical Applications
5. Advanced Bioengineering
6. Wearable Sensors
7. Functional Neuroimaging
8. Computation and Modelling in Neuroscience
9. Mobile and Pervasive Technology
10. Neuroimaging and Cognition
11. Brain Imaging Lab
12. Statistical Methods
13. Optoelectronic devices
14. Introduction to Computational Neuroscience/Neuroengineeing/Bioengineering 15. Transmission Control and Internet Protocol
16. Artificial Intelligence-1
RESEARCH PROPOSALS DRAFTED
1. Deception and altered states of consciousness (Lancaster University) 2. Retrieval of Recent and Very Remote Autobiographical Memories and Hippocampal Activation as a Function of Repetition and Altered States of Consciousness (Doctoral application) 3. Characterization of the acute response to Misophonia sounds in the central and peripheral nervous system-
(Misophonia Research Foundation)
4. Improving Brain-Computer Interface Systems using physiological measures of attention, via hybrid EEG-fNIRS-ECG based BCI system (New science and developing a proposal to NSF-Indiana University Int Grants Committee)
5. Impacts of respiratory vagus nerve stimulation on prefrontal cortex activation and executive functions
(CNS NRT Indiana University summer fellowship)
ACADEMIC ACHIEVEMENTS AND OTHER SKILLS
• Ranked 7th in the class of 140 students, both in Masters and Bachelors.
• Worked as the Class Representative for 4 semesters (2010-2012) and also as the Cultural Secretary (2014).
• School captain in high school (2007).
• Worked as a Science Educator, a Life skill Counselor, Public Speaker, Meditation Facilitator.
• Coordinated and conducted Cultural Activities and other Science Exhibitions.
• Represented KV Nasirabad school in Regional KVS Annual Meet-Chess held in Dehradun (2005), India and in Jodhpur, India (2006).
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REFERENCES
1. Gregory Lewis, PhD ******@**.***
Assistant Professor
Assistant Research Scientist Kinsey Institute Traumatic Stress Research Consortium Assistant Professor Intelligent Systems Engineering Luddy School of Informatics, Computing and Engineering Director, Socioneural Physiology Lab
2. Virginia J. Vitzthum, PhD ********@*******.***
Professor, Anthropology
Senior Scientist, Kinsey Institute
Director, Evolutionary Anthropology (EVA) Laboratory 3. Dr. Jerry Jesseph, MD, PhD ********@*****.***
Professor, IU School of Medicine
Senior Clinical Research Fellow, The Kinsey Institute