My work focuses on addressing authentication vulnerabilities by advancing user privacy and security through the strategic implementation of technologies such as Risk-Based Adaptive Authentication and Multi-Factor Authentication (MFA). 

Utilizing user-centered research methodologies, I analyze behavioral patterns, contextual risk factors, and usability challenges to generate data-driven, actionable recommendations. This approach facilitates the creation of secure, adaptive, and user-friendly authentication frameworks, empowering individuals to protect their digital identities against an ever-evolving threat landscape.

My work focuses on enhancing the clarity and accessibility of privacy policies by leveraging deep learning (DL) and natural language processing (NLP). This work addresses challenges such as readability, ambiguity, and information overload, which often hinder users' understanding of privacy practices. By extracting, categorizing, and structuring complex policy information, I aim to create an automated platform that simplifies these documents for end users.

Using user-centered research methodologies, I examine how individuals interact with privacy policies and identify barriers to comprehension. This analysis informs the development of innovative tools designed to make privacy policies more transparent and actionable. 

My projects explores the evolving landscape of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), addressing the escalating security and privacy challenges that accompany their advancement. These immersive platforms introduce unique vulnerabilities, from unauthorized access to sensitive data to the potential misuse of personal information.

Focusing on innovative solutions, my work emphasizes the development of robust authentication mechanisms, advanced data encryption techniques, and transparent privacy policies. Through user-centered research, I aim to identify critical risks and design strategies that not only enhance security but also foster trust in AR and VR ecosystems. 

My research focuses on addressing the security and privacy challenges in healthcare, particularly for marginalized communities, with a specific emphasis on the healthcare apps and Internet of Medical Things (IoMT). These tools holds immense potential to enhance the lives of older adults through advanced health monitoring technologies, improving the management of health conditions and overall well-being. However, these innovations also introduce unique vulnerabilities in protecting sensitive health data.

This work is centered on developing a tailored security framework that not only protects the health data of older adults but also respect their privacy. I aim to design robust, user-friendly solutions that strike a balance between technological innovation and data protection.

My research focuses on the intersection of financial technology and user trust, addressing the growing reliance on ePayment solutions in a rapidly digitizing world. This work rigorously evaluates a wide array of mobile payment applications, analyzing their security protocols, privacy safeguards, and usability features to identify strengths and vulnerabilities.

Using a combination of technical assessments and user-centered research methodologies, I examine how these applications manage sensitive financial data and ensure secure transactions. Insights from this research inform the development of innovative strategies and solutions to enhance user trust, mitigate risks, and optimize the overall experience in digital transactions. 

My research investigates the privacy and security challenges posed by Internet of Things (IoT) devices in everyday life, from smart toys and healthcare devices to home automation systems. These technologies, while enhancing convenience, expose users to risks such as data breaches and unauthorized access.

Focusing on practical solutions, my work integrates user studies to understand real-world concerns and develop secure encryption protocols, privacy-focused designs, and robust data protection strategies. By addressing these vulnerabilities, the project aims to foster safer adoption of IoT technologies in personal and sensitive contexts.

My research addresses the privacy and security challenges faced by users on major social media and messaging platforms. I focus on enhancing online data protection through innovative technologies and strategic interventions. Additionally, I examine the spread of misinformation and disinformation across these platforms, with particular emphasis on how individuals manage their online identities.

Using user-centered research methodologies, I analyze platform vulnerabilities, user behaviors, and privacy concerns within specific contexts. My work generates actionable, data-driven recommendations that prioritize both security and usability. By empowering individuals to take control of their personal data, this research helps users navigate digital platforms with confidence in an increasingly interconnected world.

My work focuses on advancing the design and implementation of chatbot technologies to enhance user experiences across diverse applications. Leveraging user-centered research methodologies, I analyze interaction patterns, contextual challenges, and usability factors to develop data-driven, actionable recommendations for creating more intuitive, responsive, and secure chatbot frameworks.

Chatbots offer immense potential in various domains, from customer service and education to healthcare. For example, in the realm of mental health, chatbots can provide accessible, empathetic, and user-friendly support tailored to individual needs. By addressing key challenges such as privacy, personalization, and inclusivity, I aim to foster the development of chatbots that empower users to confidently engage with technology, bridging gaps in access and usability across a wide range of contexts.

My projects delve into the growing concerns surrounding e-waste, highlighting not only its environmental implications but also the overlooked security risks posed by discarded and refurbished electronic devices. These risks stem from residual data left on devices, vulnerabilities in recycled components, and insufficient data sanitization practices, which can lead to unauthorized access and data breaches.

Focusing on practical and innovative solutions, my work emphasizes the development of secure e-waste management protocols, robust data sanitization techniques, and risk-aware refurbishment practices. Through a combination of technical analysis and stakeholder engagement, I aim to address these critical challenges, fostering a safer and more secure approach to e-waste handling while raising awareness about the intersection of sustainability and digital security.

My work focuses on addressing the pervasive risks posed by social engineering attacks, such as phishing, which exploit human behavior to gain unauthorized access to sensitive information. By leveraging user-centered methodologies, I analyze behavioral patterns, cognitive biases, and situational vulnerabilities to better understand how users interact with these threats.

This work emphasizes the development of tailored solutions that align with users’ mental models, effectively communicating risks and enhancing their ability to identify and mitigate social engineering tactics. By prioritizing both security and usability, my research aims to empower individuals to navigate digital environments confidently and securely, reducing the impact of social engineering in an increasingly complex cyber landscape.