Biometrics Research and Development Group (BRAG)

The Behavioral Biometrics Research and Development Group (BRAG) members utilize a variety of biometric patterns (e.g., face, fingerprint, gait, touch, sign, movement) to create smarter, fairer, more reliable, and more accessible computer systems, ultimately contributing to a healthier society. 

Active BRAG members:

1. 1. Rebira Jemama, working on evaluating LLMs for their capability in copying humans, a paper entitled "How Well Do LLMs Imitate Human Writing Style?" was accepted for publication and presentation at UEMCON 2025. [pdf]. Congratulations Rebira!! 

   2. DongHyun Roh, working on 'Plagiarism Detection in Korean Language via Keystrokes' [IJCB 2025, ICMLA 2025 forthcoming, prep for IEEE TBIOM]

   3. An Ngo, An Undergraduate Student at Bucknell University, is working on "Trustworthiness of Signature-based Verification Systems." [IJCB 2024, IJCB 2025, prep for IJCB 2026]

   4. Alvin Kuruvilla, a BS (CS) Student at Hofstra University, is working on "Fake profile detection in social networks" (REU at NYIT), [CCNC 2024]

      • MS (CS) Hofstra University 

      • Cybersecurity Engineer, Workday

   5. Aditya Sharma, PhD Student at BITS Pilani [ASONAM 2025, LoG 2025 under review]

   6. Atharva Mehta, Research Engineer, MBZUAI [IJCB 2024, Best Paper Award, IEEE-TBIOM (under revision)]

   7. Ashley Brandenburger

   8. Manasa Chundi

   9. Minh Dau

   10. Thanh Dong

Past BRAG members:

1. Rojanaye Daley, a BS (CS) from Hofstra University, worked on "Fake profile detection in social networks." 

   • Published a paper titled "Spotting Fake Profiles in Social Networks via Keystroke Dynamics" [CCNC 2024], 

   • Full Stack Engineer at CVS Health

2. 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 

   • R&D Engineer Intern R&D Engineer Intern Medivis 

3. TueNhi Cao worked on the 'Investigating gender and aging bias in fingerprint recognition', presented at PUR 2025

4. Joshua Lee and Ben Khant worked on "Gender Bias in Touch Gesture-based User Authentication Systems." [Tapia (draft) Paper][Kalman Poster 2024]

   • Data Science Intern, MITRE 

5. Apoorva Gulati, working on 'Fake Profile Detection in Social Networks' [ASONAM 2025], 

   • Equity Strategic Indices @ J.P. Morgan

6. Duy Le and Nhi Cao worked on 'Benchmarking Static and Dynamic Features for Online Signature Verification', [Kalman Poster 2024]

7. Hung Pham worked on "Trustworthiness of EEG-based emotion recognition." He secured a poster award at the Susquehanna Valley Undergraduate Research Symposium (SVURS) 2023, [Poster]

8. Amanda Agambire, "Trustworthiness of  Touch-based Behavioral Biometric Systems." [News]

9. Debnath Kundu, MTech (CSAI), IIIT Delhi, worked on "A Digital Honor Code - Keystroke Dynamics Against Academic Dishonesty." [IJCB 2024, Best Paper Award]

   • Machine learning engineer @ Awiros

10. MinhPhuong Cao, An Undergraduate Student at Bucknell University, is working on "Trustworthiness of Signature-based Verification Systems". [IJCB 2024] 

    • Interned at Adobe and NVIDIA

11. Jun Hyung Mo, Haverford College, PA, USA, worked on "Countermeasures to attacks on gait-based authentication systems." [Two-semester thesis, IJCB 2022] 

    • Assistant Tennis Coach at Haverford College

12. Pragyan Mehrotra worked on "Countermeasures to attacks on touch-based authentication systems." [IJCB 2022, IEEE TBIOM 2023] 

    • [BS IIIT Delhi], SDE at AWS Dublin (AWS Lambda) [MS CS at UW Madison]  

13. Brian Kreidberg, MS, Hofstra University, successfully defended his thesis titled: "Vision-Based Wound Detection System." [A year thesis], 

    •  Software Engineer - Industrial Devices, Wintriss Controls Group, LLC

14. Liam Carlton, [MS CS, Hofstra University], Project title: AI Applications in “Magic: The Gathering.” 

15. Aleena Maryam (One-semester thesis) [BS CS Haverdord] worked on "On the possibility of fooling keystroke-based lie detectors."

    • Software Engineer at Citrix

16. Ken Ruto [BS CS Haverford] worked on "Early detection of Parkinson's disease via wearables."

    • Founder, Flux Water LLC

17. Yuxuan (Andy) Hong (One-semester thesis) worked on "Survey of performance evaluation metrics."

    • [BS Haverford, MEngg (CS) from UPenn], Software Engineer @ Oracle

18. Li Fan, supported by the Velay Fellowship and KINSC at Haverford College, worked on a "GAN-based attack on sensor-based gait biometrics." 

    • [video explaining the research] [Statistics PhD Candidate @Duke]

19. Yiting Zou, supported by the Summer Research Assistant Program, Haverford College

    • "Comprehensive performance evaluation of behavioral biometrics-based systems"

20. Gulesh Shukla, [BS CS Haverford] worked on "Fairness in behavioral biometrics."

    •  MS CS University of Chicago

21. Dylan Soimitro  [BS CS Haverford] worked on "Identity verification via mouse movement patterns."

    • [MS CS Columbia University] [Software Engineer at ZipRecruiter]

22. Henry Owen Plambeck (Fall 2019 and Spring 2020) 

    • "Privacy leakage from keystrokes"

23. Lamia Dakir (Fall 2019 and Spring 2020) worked on "Performance of motion sensor-based gait on heterogeneous datasets."

    •  [Software Engineer, VP @ Bank of New York]

24. Rudolf Hernandez (Fall 2019), [one-semester thesis] worked on "Privacy leakage from zero-permission sensors"

    • [Google Intern, Disney Engineer, Apple Engineer] 

25. Ahmed Ishtiaque (Fall 2019), worked on "Identity verification via touch and movement patterns."

    • Co-Founder and Software Engineer at Dibs, LLC 

26. Ari Benkov (Fall 2019), [BS (CS) Haverford] worked on "WiFi-based gait recognition."

    •  MS (CS) from UPenn

Some videos from previous research projects undertaken during graduate school

Multi-modal behavioral biometric-based authentication