Behavioral Biometrics Research and Development Group (BRAG) members utilize a variety of life patterns (e.g., face, fingerprint, gait, touch, sign, move) to create smarter, fairer, reliable, and more accessible computer systems and a healthier society.
Active BRAG members:
TueNhi Cao, working on the 'Trustworthiness of Behavioral Biometric Systems'
Duy Le, working on 'Trustworthiness of Behavioral Biometric Systems'
Ben Khant, working on 'Trustworthiness of Behavioral Biometric Systems'
DongHyun Roh, working on 'Plagiarism Detection in Korean Students'
Apoorva Gulati, working on 'Fake Profile Detection in Social Networks'
Joshua Lee, An Undergraduate Student at Bucknell University, is working on "Trustworthiness of Behavioral Biometric Systems."
A Ngo, An Undergraduate Student at Bucknell University, is working on "Trustworthiness of Signature-based Verification Systems." [Publication]
Hung Ngo, An Undergraduate Student at Bucknell University, is working on "Accessible Input Technologies--Touchless Typing using Depth Camera.", he won second Prize in the ACM Undergraduate Research Poster Competition at The Richard Tapia Conference 2024
Alvin Kuruvilla, a BS (CS) Student at Hofstra University, is working on "Fake profile detection in social networks" (REU at NYIT), [Publication]
Rojanaye Daley, a BS (CS) Student at Hofstra University, is working on "Fake profile detection in social networks." [Publication]
Past BRAG members:
Hung Pham, An Undergraduate Student at Bucknell University, is working on "Multi-modal emotion detection." He secured best poster award at the Susquehanna Valley Undergraduate Research Symposium (SVURS) 2023, PA
Amanda Agambire, An Undergraduate Student at Bucknell University, worked on "Trustworthiness of Behavioral Biometric Systems."
Debnath Kundu, MTech (CSAI), IIIT Delhi, successfully defended his thesis titled: "A Digital Honor Code - Keystroke Dynamics Against Academic Dishonesty." [Publication 1]
MinhPhuong Cao, An Undergraduate Student at Bucknell University, is working on "Trustworthiness of Signature-based Verification Systems". [Publication]
Jun Hyung Mo, Haverford College, PA, USA, worked on "Countermeasures to attacks on gait-based authentication systems." [Two-semester thesis, publication1]
Pragyan Mehrotra, now at SDE at AWS Dublin (AWS Lambda), worked on "Countermeasures to attacks on touch-based authentication systems." [publication1, publication2]
Brian Kreidberg, MS, Hofstra University, successfully defended his thesis titled: "Vision-Based Wound Detection System." [a year thesis], now Software Engineer - Industrial Devices, Wintriss Controls Group, LLC
Liam Carlton, MS, Hofstra University, Project title: AI Applications in “Magic: The Gathering.”
Aleena Maryam (One-semester thesis)
"On the possibility of fooling keystroke-based lie detectors."
"Early detection of Parkinson's disease via wearables."
Yuxuan (Andy) Hong (One-semester thesis)
"Survey of performance evaluation metrics."
Li Fan, supported by Velay Fellowship, KINSC, Haverford College
"GAN-based attack on sensor-based gait biometrics"
Yiting Zou, supported by the Summer Research Assistant Program, Haverford College
"Comprehensive performance evaluation of behavioral biometrics-based systems"
Gulesh Shukla, supported by KINSC, Haverford College
"Fairness in behavioral biometrics"
"Identity verification via mouse movement patterns."
Henry Owen Plambeck (Fall 2019 and Spring 2020)
"Privacy leakage from keystrokes"
Lamia Dakir (Fall 2019 and Spring 2020)
"Performance of motion sensor-based gait on heterogeneous datasets"
Rudolf Hernandez (Fall 2019), Software Engineering Intern - Disney Streaming Services [one-semester thesis]
"Privacy leakage from zero-permission sensors"
Ahmed Ishtiaque (Fall 2019), Co-Founder and Software Engineer at Dibs, LLC
"Identity verification via touch and movement patterns."
Ari Benkov (Fall2019),
"WiFi-based gait recognition"
Some videos from previous research projects undertaken during graduate school
Demonstration of the process of inferring a PIN from a video recorded publicly in a library.^
Multi-modal behavioral biometric-based authentication