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Pardis Miri, PhD, is a postdoctoral fellow at Stanford University, working at the intersection of human computer interaction and affective science. She is a member of the Stanford HCI group as well as the Stanford Psychophysiology Lab (SPL), directed by Professor James Gross, whose research underlies much of what we now know about emotion regulation. At SPL, Dr. Miri leads a multidisciplinary research team (WEHAB team) aimed at the design, engineering, and evaluation of technologies to help people to successfully manage their emotions, moods, and stress responses. She is interested in both neurotypical and neurodiverse populations.
Specifically, her work focuses on using theoretically-grounded and data-driven approaches to engineer end-to-end systems that empower people to regulate their unwanted affective experiences and behaviors in their everyday lives. Then, by running carefully-designed clinical experiments, she examines both the average effect (whether the system was effective in changing affect) and the heterogeneous effect (for whom the system was effective). The results of this research will inform practice about what types of interventions are more useful for what type of trait and state individual differences, and will reduce the use of drugs in personalized mental healthcare.
Dr. Miri's research is supported by funding both from the National Science Foundation and from the Stanford Wearable Electronics (eWear) Initiative (the project for which she is the lead Principal Investigator). With this funding, Dr. Miri has managed a large set of undergraduate and graduate student researchers, overseeing their work in the development of the technology and experiments, conducting the necessary literature reviews and experimental evaluations, and in writing up and publishing the results as well as in preparing and making presentations to stakeholders and professional organizations.
Stanford University, Stanford, CA
Postdoctoral, Psychology and Computer Science
Supervisors: Profs. James Gross and Keith Marzullo.
University of California-Santa Cruz, Santa Cruz, CA
Ph.D., Computer Science (Human Computer Interaction)
Dissertation: Using Technology to Regulate Affect: A Multidisciplinary Perspective - funded by Intel Labs and NSF (Award No.CNS-1813982)
Committee: Profs. Katherine Isbister (Advisor), James Gross (Co-advisor), Keith Marzullo (Co-advisor), Jim Whitehead (Chair), Luca de Alfaro, and Douglas Bonnet.
University of California-Santa Diego, Santa Diego, CA
M.S., Computer Science (Computer Networks)
Dissertation: Miswirings Diagnosis, Detection and Recovery in Data Centers
Committee: Profs. Amin Vahdat (Advisor), Keith Marzullo (Co-advisor), and Joe Pasquale (See publication C.2).
Amirkabir University of Technology, Tehran, Iran
B.S., Computer Engineering
Dissertation: Asynchronous Implementation, Synthesis and Power Analysis of AES Encryption Algorithm with a Secure Asynchronous Toolset (See publication C.1).
Due to Stanford Intellectual Property Licensing, My Github account is private.
Firmware programming of nRF52 semiconductors (microprocessors) equipped with Bluetooth low energy. This utilized Advanced Bluetooth Low Energy Communication for when the central and peripheral roles change dynamically.
Inferring psychological arousal from skin conductance data using model-based approaches in LedaLab.
Inferring breathing rate and breathing irregularity from respiration data using a variety of methods including Empirical Mode Decomposition, Fast Fourier Transform, Independent Component Analysis, and Exponential Smoothing.
App Development Management
iOS Swift language programming to build a personalization app and send/receive communication with a BLE enabled semiconductors. I managed my interns who took the role of developers.
Machine Learning (Stanford CS 229)
Use of linear regression, logistic regression, XGBoost regression models and Shapley Values to identify for whom and in what context an intervention is effective (i.e., identifying heterogeneous effect).
Compound Remote Associate (CRA) stressor tasks balancing using clustering algorithms.
Experimental Design (Stanford Psych251 and 252)
Bootstrapped Mixed Design Modeling and Power Analysis in R.
Boostrapped Mediation Analysis in R.
Wilcoxon signed rank test in R.
Proficiency in R, Python, and MatLab programming
Intel Labs, Hillsboro, Oregon
HCI Researcher Intern
NASA Ames Research Center, Sunnyvale, CA
User Experience Researcher Intern
Microsoft Corporation, Redmond, WA
Program Manager, Windows Core Networking Group
Qualcomm Inc., San Diego, CA
Software Customer Engineer Intern.
Stanford University – Stanford, Stanford, CA
Design, engineering and evaluation of an inconspicuous vibrotactile device with an iOS app for affect regulation in children diagnosed with autism spectrum disorder. Please visit https://wehab.stanford.edu/research for a list of the different prototypes of this device and how they have been evaluated.
University of California–Santa Cruz, Santa Cruz, CA
Investigation of the use of vibrotactile devices for affect regulation.
University of California–San Diego, San Diego, CA
Design and implementation of a fault diagnostic tool for identifying and repairing miswirings in data center network architectures.
University of California–Santa Cruz, Santa Cruz, CA
Instructor for 60-hour University course: “Introduction to Computer Science and Programming”, special edition program inspired by MIT Introduction to Probability thought by Dr.John Tsitsiklis, UC, San Diego Algorithms thought by Sanjoy Dusgupta, and UC, Berkeley Snap programming tool I focused on teaching probability, recursion, as well as sorting algorithms and run times using a visual programming tool.
To see the list of my publications, please click here.
Stanford Predictives and Diagnostics Accelerator Grant.
Facilitating Affect Regulation in Labile Hypertension.
Role: Lead author of the proposal. PIs: Profs. James Gross (psychology) and Katharine Sears Edwards (cardiovas- cular medicine). $50,000. 2020-2021.
Stanford Predictives and Diagnostics Accelerator Grant. Awarded.
Facilitating Affect Regulation in Youth with Autism Spectrum Disorder.
Role: PI and Lead author of the proposal. PI supervisors: Profs. James Gross (psychology) and Antonio Hardan (School of Medicine). $40,000. 2020-2021.
Stanford Jaswa Innovator Award.
Vibrotactile System For Affect Regulation in Children with Autism Spectrum Disorder.
Role: Lead author of the proposal. PIs: Profs. James Gross (psychology) and Antonio Hardan (psychiatry). $200,000. 2019-2021.
EAGER National Science Foundation Grant. Awarded.
Systems for Assisting in Emotion Regulation in the Wild.
Role: Lead author of the proposal. PIs: Profs. James Gross (Stanford University), Keith Marzullo (University of Maryland), and Katherine Isbisiter (University of California, Santa Cruz). $270,000. 2018-2020. Award No.1813982
University of California-Santa Cruz
Supervised Computer Science Undergraduate Research (CS 195), Stanford University
Mentoring Mehul Arora and Aman Malhota.
Computer Science Undergraduate Internships (CURIS program), Stanford University
Mentoring Stephanie Hu, Mehul Arora, and Aman Malhota.
WEHAB Lab, Stanford University
As a director of Wehab team, I managed a large set of undergraduate and graduate student researchers, overseeing their work in the development of the technology and experiments,conducting the necessary literature reviews and experimental evaluations, and in writing up and publishing the results as well as preparing and making presentations to stakeholders and professional organizations.
Undergraduate, masters, and PhD students: Talia Regenstein, Elaheh Salehi, Eman Magzoub, Satvir Basran, Anna Speder, Sae Du, Eli Rice, Yi-Hsuan Wu, Akanksha Shrivastava, Joshua Chon, Candace Hagey, Agata Kelman, Aidan Levin, Aditi Gupta, Emily Jusuf, Jacqueline Nguyen, Alyssa Jackson, Stephanie Hu, Mehul Arora, Aman Malhota, Ishan Goya