Secure Sensing and Learning (SSL) Research Lab
Our Group
Principal Investigator
Diksha is interested in designing secure and privacy preserving machine learning, computer vision, and natural language processing models. Her research spans applications of these models to wearable devices, biometrics, attack-averse authentication, and side channel attack formulation.
PhD Student, CS
Sindhu's Ph.D. research focuses on both offensive and defensive analysis of behavior biometrics on wearable devices. She is interested in analyzing side channels to uncover security vulnerabilities in smart wearables and is developing active authentication system(s) using behavioral biometrics.
PhD Student, CS
Paul is interested in Machine Learning and its applications in Cybersecurity. He is exploring active authentication models for mixed reality systems.
PhD Student, CS
Mohamad's research encompasses both Natural Language Processing (NLP) and visual reasoning models, exploring the interpretability of these technologies. His work investigates the applications of NLP models in tasks such as source identification, fake news detection, and creating a structured knowledge view that is easily explainable, highly adaptable, and capable of reasoning. Additionally, he delves into the interpretability of visual reasoning models, broadening the scope of his research to include both NLP and visual processing domains.
PhD Student, CS
Soudabeh is actively delving into the realm of utilizing users' brain signals for identity verification and their applications in brain-controlled computer interfaces. In her ongoing endeavors, she is pioneering the development of innovative authentication systems that harness the distinctive neural responses of individuals. Her research seamlessly combines principles from neuroscience with advanced computational techniques, with the ultimate goal of establishing enhanced security and convenience in human-computer interactions.
PhD Student, CS
Iqbal is interested in developing zero-trust architecture for continuous authentication using behavioral biometrics. She is interested in developing zero-trust security models that are usable, secure, lightweight, and power and energy efficient for users, devices, and applications ecosystem.
Undergradaute Student, CS
Jacob is interested in Virtual Reality systems, applications, and security. He is currently developing an AI-generated authentication system for VR headsets that utilizes N170-response from the user's brain using familar and unfamilar faces as an external stimuli.
Undergradaute Student, CS
Kyle is interested in Machine Learning and security, focusing on enhancing the ease of use for advanced biometric authentication systems. He is currently researching which nodes for EEG devices yield the most pivotal brain responses for user identity verification. The goal is to provide insights on developing more compact EEG devices that are easier for users to don and wear for extended periods.
Undergradaute Student, CS
Zach is interested in virtual reality and is currently researching on developing seamless authentication mechanisms in VR environment. He is exploring biometrics with secret handshakes between the user and npc. He plans to find a compact method that works for consumer virtual reality devices.
Alumni
Undergraduate Researcher (Graduated - Spring 2022) → Now MS Student at Indiana University
Ashlyn Lindsay
REU Student, Summer 2022, Undergraduate Student → Laramie County Community College
Austin Youngren
REU Student, Summer 2022, Undergraduate Student → Front Range Community College
Jacob Karen
REU Student, Summer 2021, Undergraduate Student → William & Mary
Christine Wang
REU Student, Summer 2021, Undergraduate Student → William & Mary
Julia Ding
Athena by WiSTEM Student (Talaria), Summer 2021