Sensing Behavioral Change over Time: Using Within-Person Variability Features from Mobile Sensing to Predict Personality Traits. - Weichen Wang 001; Gabriella M. Harari; Rui Wang 016; Sandrine R. Müller; Shayan Mirjafari; Kizito Masaba; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior. - Koustuv Saha; Raghu Mulukutla; Kari Nies; Pablo Robles-Granda; Anusha Sirigiri; Dong Whi Yoo; Pino G. Audia; Andrew T. Campbell; Nitesh V. Chawla; Sidney K. D'Mello; Anind K. Dey; Manikanta D. Reddy; et al. (ACII, 2019)

The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers. - Stephen M. Mattingly; Julie M. Gregg; Pino G. Audia; Ayse Elvan Bayraktaroglu; Andrew T. Campbell; Nitesh V. Chawla; Vedant Das Swain; Munmun De Choudhury; Sidney K. D'Mello; Anind K. Dey; Ge Gao 001; Krithika Jagannath; et al. (CHI Extended Abstracts, 2019)

Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing. - Shayan Mirjafari; Kizito Masaba; Ted Grover; Weichen Wang 001; Pino G. Audia; Andrew T. Campbell; Nitesh V. Chawla; Vedant Das Swain; Munmun De Choudhury; Anind K. Dey; Sidney K. D'Mello; Ge Gao 001; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas. - Vedant Das Swain; Koustuv Saha; Hemang Rajvanshy; Anusha Sirigiri; Julie M. Gregg; Suwen Lin; Gonzalo J. Martínez; Stephen M. Mattingly; Shayan Mirjafari; Raghu Mulukutla; Subigya Nepal; Kari Nies; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing. - Weichen Wang 001; Shayan Mirjafari; Gabriella M. Harari; Dror Ben-Zeev; Rachel Brian; Tanzeem Choudhury; Marta Hauser; John Kane 001; Kizito Masaba; Subigya Nepal; Akane Sano; Emily A. Scherer; et al. (CHI, 2020)

Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. - Xian Wu 003; Stephen M. Mattingly; Shayan Mirjafari; Chao Huang 001; Nitesh V. Chawla (CIKM, 2020)

VIMES: A Wearable Memory Assistance System for Automatic Information Retrieval. - Carlos Bermejo 001; Tristan Braud; Ji Yang; Shayan Mirjafari; Bowen Shi; Yu Xiao 001; Pan Hui 001 (ACM Multimedia, 2020)

On the Quality of Real-world Wearable Data in a Longitudinal Study of Information Workers. - Gonzalo J. Martínez; Stephen M. Mattingly; Shayan Mirjafari; Subigya K. Nepal; Andrew T. Campbell; Anind K. Dey; Aaron D. Striegel (PerCom Workshops, 2020)

Improved Sleep Detection Through the Fusion of Phone Agent and Wearable Data Streams. - Gonzalo J. Martínez; Stephen M. Mattingly; Jessica Young; Louis Faust; Anind K. Dey; Andrew T. Campbell; Munmun De Choudhury; Shayan Mirjafari; Subigya K. Nepal; Pablo Robles-Granda; Koustuv Saha; Aaron D. Striegel (PerCom Workshops, 2020)

Detecting Job Promotion in Information Workers Using Mobile Sensing. - Subigya Nepal; Shayan Mirjafari; Gonzalo J. Martínez; Pino G. Audia; Aaron Striegel; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Predicting Brain Functional Connectivity Using Mobile Sensing. - Mikio Obuchi; Jeremy F. Huckins; Weichen Wang 001; Alex daSilva; Courtney Rogers; Eilis Murphy; Elin Hedlund; Paul Holtzheimer; Shayan Mirjafari; Andrew T. Campbell (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being. - Pablo Robles-Granda; Suwen Lin; Xian Wu 003; Gonzalo J. Martínez; Stephen M. Mattingly; Edward Moskal; Aaron Striegel; Nitesh V. Chawla; Sidney D'Mello; Julie M. Gregg; Kari Nies; Gloria Mark; et al. (IEEE Comput. Intell. Mag., 2021)

Predicting Job Performance Using Mobile Sensing. - Shayan Mirjafari; Hessam Bagherinezhad; Subigya Nepal; Gonzalo J. Martínez; Koustuv Saha; Mikio Obuchi; Pino G. Audia; Nitesh V. Chawla; Anind K. Dey; Aaron Striegel; Andrew T. Campbell (IEEE Pervasive Comput., 2021)

Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing. - Subigya Nepal; Gonzalo J. Martínez; Shayan Mirjafari; Stephen M. Mattingly; Vedant Das Swain; Aaron Striegel; Pino G. Audia; Andrew T. Campbell (IEEE Pervasive Comput., 2021)

A Survey of Passive Sensing in the Workplace. - Subigya Nepal; Gonzalo J. Martínez; Shayan Mirjafari; Koustuv Saha; Vedant Das Swain; Xuhai Xu; Pino G. Audia; Munmun De Choudhury; Anind K. Dey; Aaron Striegel; Andrew T. Campbell (CoRR, 2022)

Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations. - Shayan Mirjafari; Subigya Nepal; Weichen Wang 001; Andrew T. Campbell (CoRR, 2023)

MoodCapture: Depression Detection using In-the-Wild Smartphone Images. - Subigya Nepal; Arvind Pillai; Weichen Wang 001; Tess Griffin; Amanda C. Collins; Michael V. Heinz; Damien Lekkas; Shayan Mirjafari; Matthew Nemesure; George D. Price; Nicholas C. Jacobson; Andrew T. Campbell (CHI, 2024)

LogicLM: Robust Application of Large Language Models with Logic Programming for Data Analytics. - Evgeny S. Skvortsov; Shayan Mirjafari; Ojaswa Garg; Yilin Xia; Shawn Bowers; Bertram Ludäscher (EDBT, 2025)

A Survey of Passive Sensing for Workplace Wellbeing and Productivity. - Subigya K. Nepal; Gonzalo J. Martínez; Arvind Pillai; Koustuv Saha; Shayan Mirjafari; Vedant Das Swain; Xuhai Xu; Pino G. Audia; Munmun De Choudhury; Anind K. Dey; Aaron Striegel; Andrew T. Campbell (HCI (3), 2025)

Natural Language to Logica: Towards Interactive and Explainable Data Analytics. - Ojaswa Garg; Shayan Mirjafari; Yilin Xia; Shawn Bowers; Bertram Ludäscher; Evgeny S. Skvortsov (LOPSTR, 2025)