I'm an Assistant Professor of Electrical Engineering at the City College of the City University of New York. My primary research interests are in computer security and privacy, with an emphasis on providing guarantees for users' everyday systems. I received my PhD in computer science from Johns Hopkins University while studying under my advisor Avi Rubin. Those interested can peruse my curriculum vitae (CV). My pronouns are he/him.
Outside of the lab, you can find me trying my hand at photography and going on road trips.
I'm looking for undergraduate and graduate students to join my research group! If you are a current CCNY or CUNY student and are interested in working with me, send me an email.
tjois (at) ccny (dot)
cuny (dot) edu. My office is in Steinman Hall, room 638.
| » I'm mentoring an REU project this summer! If you're an undergrad, you should apply! (January 2024) |
| » I'm joining the City College of New York as a tenure-track faculty member! (August 2023) |
| » I'm helping organize a special session at IEEE EDUCON 2023 on IoT education! (November 2022) |
| » We've put up a fancy website for the Meteor project! (November 2021) |
| » I was awarded the Prof. Joel Dean Excellence in Teaching Award! (May 2021) |
| 🛡️ Secure Systems Engineering, Spring 2024. |
| 📊 Probability & Statistics, Fall 2023. |
| 🔏 🔐 Security & Privacy in Computing, Fall 2022. |
| 🌐 📡 Computer Networks, Spring 2022. |
| 🧡 💙️ HEART: Computer Security and Privacy for the Modern World, Fall 2021. |
SocIoTy: Practical Cryptography in Smart Home Contexts
Tushar Jois, Gabrielle Beck, Sofia Belikovetsky, Joseph Carrigan, Alishah Chator, Logan Kostick, Maximilian Zinkus, Gabriel Kaptchuk, Avi Rubin.
Privacy Enhancing Technologies Symposium 2024 (PETS '24)
Smart Use of Smart Devices in Your Home: A Smart-Home Security and Privacy Workshop for the General Public
Tushar Jois, Tina Pavlovich, Brigid McCarron, David Kotz, Tim Pierson.
ACM Technical Symposium on Computer Science Education 2024 (SIGCSE '24)
Squint Hard Enough: Evaluating Perceptual Hashing with Machine Learning
Jonathan Prokos, Neil Fendley, Matthew Green, Roei Schuster, Eran Tromer, Tushar Jois, Yinzhi Cao.
USENIX Security Symposium 2023 (USENIX '23)
Towards Application-Driven IoT Education
Mounib Khanafer, Tushar Jois.
IEEE Global Engineering Education Conference 2023 (EDUCON '23)
SoK: Cryptographic Confidentiality of Data on Mobile Devices
Maximilian Zinkus, Tushar Jois, Matthew Green.
Privacy Enhancing Technologies Symposium 2022 (PETS '22)
Meteor: Cryptographically Secure Steganography for Realistic Distributions
Gabriel Kaptchuk, Tushar Jois, Matthew Green, Avi Rubin.
ACM Conference on Computer and Communications Security 2021 (CCS '21)
DOVE: A Data-Oblivious Virtual Environment
Hyun Bin Lee, Tushar Jois, Christopher Fletcher, Carl Gunter.
Network and Distributed System Security Symposium 2021 (NDSS '21)
| » Interviewed for The Health Beat, alongside Mike Rushanan, on the intersection of security and medicine. (August 2021) |
| » Interviewed for the DevNews Podcast (S3:E2), alongside my fellow author Max Zinkus, on our work about Data Security on Mobile Devices. (January 2021) |
| » Quoted in "How Law Enforcement Gets Around Your Smartphone's Encryption", a WIRED article by Lily Hay Newman, on our work about Data Security on Mobile Devices. (January 2021) |