Ph.D. Candidate, CS

Research Topic: Natural Language Processing for Privacy Policies

Andrick.Adhikari@du.edu 

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Google Scholar

Advisors: 

Dr. Sanchari Das and Dr. Rinku Dewri 

ABOUT 

I have joined Google as a Software Engineer from 2023. My research interests encompass Privacy and Natural Language Processing (NLP). My dissertation is focused on the application of NLP to effectively extract privacy specific features from organizational privacy policies and present a scalable, easily adaptable solution for users.

Ph.D. Student

Graduate Teaching Assistant 

Research Topic: Augmented and Virtual Reality Authentication Tailored for the Marginalized Population

Naheem.Noah@du.edu

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Advisor: Dr. Sanchari Das

ABOUT 

My research focuses on Usable security and Privacy for Augmented and Virtual Reality. Particularly, I focus on the Authentication of  AR/VR devices. I have over 3 years of industry experience as a Software Engineer. My research work has been published in venues such as CASA, IEEE S&P, ARES, HFES, WPES, and others

Ph.D. Student, CS 

Graduate Teaching Assistant 

Research Topic: Older Adult IoT Privacy and Security

Suleiman.Saka@du.edu   

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Advisor: Dr. Sanchari Das

ABOUT ME:

My research interests span IoT security, privacy, cybersecurity, accessibility, and HCI, with a primary focus on older adults. I am passionately dedicated to investigating innovative solutions to address the distinct challenges encountered by this underrepresented demographic. I have over 5 years of industry experience as an IT/Transmission Engineer. My research has been published in CHI, COMSYS & GSA.

Ph.D. Candidate, CS

Graduate Teaching Assistant

Research Topic: Telehealth Privacy and Security

Faiza.Tazi@du.edu

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Google Scholar

Advisor: Dr. Sanchari Das

ABOUT ME

My research focuses on the improvement of privacy and security procedures within telehealth services, with a special emphasis on private practices. I hold a profound enthusiasm for investigating novel approaches that effectively tackle the distinctive obstacles encountered by small, resource-constrained practices. 

Degree: Masters in Computer Science

Thesis Topic: Ensuring Security, Privacy, and Usability of E-Payment Applications for the Elderly Population: A Comparative Study of Interface Design and Authentication Mechanisms

Email: Urvashi.Kishnani@du.edu

LinkedIn: www.linkedin.com/in/urvashi-kishnani/ 

ABOUT

I am a MS in Computer Science student at Ritchie School of Engineering and Computer Science at the University of Denver, where I am a part of the InSpirit Lab. My research focus is on the Security, Privacy, and Usability of Online Payment Platforms for Older Adults. I have papers published at venues such as WPES 2022 and HAISA 2023.

Undergraduate student

ABOUT

I am a dedicated student pursuing a double major in Computer Science and Mathematics. My passion lies in the field of cybersecurity, where I have been actively conducting research. My focus has been on user privacy and security.

Currently, my research focuses on Improving US-India Human Factors in Digital Economy Convergence, as part of the CRA program. This work allows me to delve deeper into the complexities of international cybersecurity dynamics and digital growth.

In addition to my studies and research, I also work as a programming tutor and a grader for calculus. This role not only allows me to share my knowledge with others but also helps me to continually refine my own understanding and skills.

Through my academic journey and work experience, I strive to make a meaningful contribution to the field of cybersecurity and look forward to exploring new avenues in this ever-evolving domain.

Undergraduate student

ABOUT

I am an undergraduate student in the Computer Science program at the Ritchie School of Engineering and Computer Science at the University of Denver and a member of the Inclusive Security and Privacy-focused Innovative Research in Information Technology (InSPIRIT) Lab.  I am majoring in Computer Science with minors in Math and Leadership. My current research focuses on Improving US-India Human Factors in Digital Economy Convergence. 

Bachelor's/Masters student

Email: alisha.pravasi@du.edu

LinkedIn

ABOUT

I am a Bachelors and Masters student in Computer Science doing research under the supervision of Professor Sanchari Das (Ph.D.) at the' Ritchie School of Engineering and Computer Science, University of Denver. My research interests encompass natural language processing, aritificial intelligence, and algorithmic bias. I am passionate about exploring effective solutions that address minorities in the new AI era.