MARGI ENGINEER

Linkedin• +1-980-***-**** • ad3d16@r.postjobfree.com • www.margiengineer.com

EDUCATION

Ph.D. Computer Science, Clemson University Expected August 2025 MS Computer Science, Clemson University December 2021 ME Computer Engineering, Gujarat Technological University May 2018 BE Information and Technology, Gujarat Technological University May 2016 RESEARCH INTEREST

My research investigates how individuals with mild dementia and healthy older adults engage with digital health information, utilizing eye-tracking and facial recognition technology to assess cognitive load, emotional responses, and trust. Additionally, in my work I explore privacy and trust in online health information to address the need for reliable online health resources. RESEARCH EXPERIENCE & RESEARCH WORK

Research Assistant, Clemson University August 2021 - UX/UI Designer, Mixed Method Resaercher, CS, HCC

Member of EQUI-Tech Lab, Director: Dr. Emma Dixon November 22 -

• Investigating the Accessibility and Trustworthiness of Digital Dementia Information via Virtual Eye Tracking January 2023 -

We examine how individuals with mild dementia engage with digital health information, focusing on cognitive load, emotional responses, and trust. Using eye-tracking and facial expression analysis, we assess their interaction with different online dementia information sources, investigating how they process challenging content and their level of trust in these sources.

• Analysing Smartphone Usage with People with Dementia March 2023 - Mobile phone usage has become ubiquitous in recent decades, including among older adults and those with age-related cognitive changes. The research reveal common interaction patterns, app preferences, and privacy/security measures among these groups, offering insights for developing apps tailored to their needs and suggesting future research directions.

• Analyzing Digital Dementia Information in English: Readability and Emotional Char- acteristics August 2022 to September 2023

Our study aimed to comprehensively analyze digital dementia information by exploring its read- ability, linguistic, psychological, and emotional aspects, as well as identifying its intended target audiences. To achieve this, we performed an in-depth textual analysis encompassing three distinct categories of text-based digital dementia information available in English: a dataset consisting of 300 medical articles, 35 websites, and 50 blogs.

Member of Hardware & Security Lab, Director: Dr. Zenkai Zhang May 2022 to December 2022

• Security attacks on GPU May 2022 to December 2022 As GPUs continue to evolve and gain prominence in various domains, research efforts are increas- ingly dedicated to understanding and countering the development of novel attack techniques, with a particular emphasis on thwarting the exploitation of GPU vulnerabilities by malicious actors. Member of PERSIST Lab, Director:Dr. Jacob Sorber August 2019 to April 2022

• Evaluating Performance of Lightweight Cryptographic Algorithms in Battery-less Platform January 2021 to April 2022

NIST undertook an evaluation of lightweight cryptographic algorithms using custom-made bat- teryless hardware, aiming to assess their performance against traditional counterparts. This com- prehensive analysis sought to determine the feasibility of replacing traditional security algorithms with lightweight alternatives in batteryless environments, with the ultimate goal of enhancing the user experience within IoT technologies and applications. Member HATLab, Director: Dr. Bart Knijnenburg & Dr. Kelly Caine August 2019 to April 2020

• Privacy Issues in Screen Saver Widget-Application August 2019 to December 2020 We were developing an Android app and widget to detect data leaks of private information from other apps, such as location, email, name, and phone number. Our goal was to provide users with privacy settings and diverse designs.

PUBLICATIONS

Investigating Smartphone Usage by People Experiencing a Range of Age-Related Cogni- tive Differences Insubmission TACCESS 2023, USA

Investigating the Readability and Linguistic, Psychological, and Emotional Character- istics of Digital Dementia Information Written in the English Language: Multitrait- Multimethod Text Analysis Link JFR 2023,

USA

Insight into the Importance of Fog computing in Internet of Medical Things (IoMT) ICRAECC Link IEEE 2019,India

Performance Analysis of Lightweight Cryptographic Algorithms simulated on Arduino Uno and MATLAB using the voice Recognition ApplicationLink IEEE ICCDET 2018, India A survey of Lightweight Cryptogtraphic Algorithms for IoT Based ApplicationsLink Springer ICSICCS 2018, India

Synopsis of IoT: Internet of thingsLink IJSRD 2017, India PAPER REVIEWER

Conferences: UIST- SIGCHI California 2023

TECHNICAL SKILLS

Programming: R, SAS, Python, JAVA, C, C++, .Net, PHP, SQLServer, MySQL, CSS, HTML Hardware: MSP430, Arduino Uno, Microsoft Kinect, Raspberry Pi Libraries/ Framework: Javascript

Tools/Platforms: SPSS, realeye.io, LIWC, Git, Android, Wordpress AWARDS AND HONORS

Outstanding Graduate Teaching Assistant 2021

Working as Teaching Assistant since 2019 till now under various Professor’s and for multiple courses. Silver Medal: BE 2016

Awarded by Previous CM of Gujarat-India for outstanding performance in undergraduate studies COURSE PROJECTS

Interactive Car Seat Design for Visually Impaired August 2023 to December 2023 Designed a car seat equipped with sensors and a voice assistant to assist individuals with visual im- pairment, enhancing their safety and mobility within vehicles. This innovative design aims to provide a more inclusive and accessible transportation experience. Airport Transportation Redesign for Physically Disabled People August 2023 to December 2023

This project addresses the redesign of airport transportation to better accommodate and enhance acces- sibility for individuals with physical disabilities. Focused on improving the overall travel experience, the initiative aims to create a more inclusive and user-friendly environment within airport transportation systems.

User Engagement and Privacy Concerns of Middle-Aged Smartphone Users August 2023 to December 2023

This project investigates how middle-aged individuals interact with privacy and security settings on smartphones, exploring their comprehension, motivations, and the resulting impact on smartphone usage. Through a between-subjects experiment, the project aims to uncover a linear relationship between understanding security notifications and engagement behaviors, aligning with the Information- Motivation-Behavioral Skills Model.

Evaluating User’s Privacy Concerns in COVID-19 Testing Platforms August 2023 to December 2023

This study delves into the assessment of user privacy concerns within COVID-19 testing platforms, aiming to analyze and understand the implications of privacy issues in the context of these essential healthcare services. We conducted a quantitative analysis to assess user awareness of the privacy policies employed by COVID-19 registration websites and applications, aiming to gauge user trust in these platforms and their perceived sense of data safety when sharing information with them. How International Students Mitigate Stress With the Help of Technologies During Pan- demic in USA? January 2021 to May 2021

This study aims to investigate the specific types of stress that international students experienced during the pandemic and explore the ways in which they utilized technology to cope with these challenges. Given the unique circumstances faced by international students in comparison to those with family sup- port in the USA during the pandemic, this research employs qualitative analysis to develop a compre- hensive theoretical framework for understanding their experiences and ultimately drawing meaningful conclusions.

Evaluation of Existing VUI Technology in Team Settings August 2020 to December 2020 We conducted a comprehensive study on the impact of voice-assisting technologies in various settings, including education and industries, assessing their effectiveness and potential drawbacks, particularly in light of varying levels of technological proficiency among users. Employing quantitative analysis, we unearthed numerous theories relating to user experiences within team environments, shedding light on the nuanced dynamics at play.

Mining Customer Reviews for Policy Violating Alexa Skills January 2020 to May 2020 We gathered reviews from Amazon.com and conducted semantic analysis on them, unveiling how user feedback, both positive and negative, can influence product pricing. Moreover, we shed light on how these reviews may potentially breach Amazon’s privacy policy, yet still manage to be published. Through this investigation, we have successfully exposed a critical flaw in Amazon’s privacy policy from a variety of angles.

ChatBot Policy Testing Tool for Virtual Assiatants August 2019 to May 2020 We created a chatbot to interact with Amazon’s Alexa and attempted to infiltrate Alexa using malicious skills. We developed various trivia, game, and quiz skills to assess their approval rates. Our success rate was 93%, revealing potential weaknesses in Amazon’s privacy policies. The chatbot’s objective is to identify security vulnerabilities in Alexa and highlight issues with Amazon’s skill approval process. ME-BE RESEARCH PROJECTS

Fog Computing in Internet of Medical Things(IoMT) June 2018 to August 2019 Through my research, I have illustrated the pivotal role of fog computing in IoMT, where it enables real-time data processing, minimizes latency, and bolsters data security. These contributions lead to improved patient care and outcomes in contemporary healthcare, underscoring the importance of comprehending its impact on healthcare advancements. Critical Performance analysis of Lightweight Cryptographic Algorithms using IoT Plat- forms and Applications June 2016 to May 2018

I created a Windows application integrating voice, facial, and gesture recognition for versatile home automation. It enables voice-controlled appliances, smart scheduling, a dynamic music player, and a re- sponsive assistant. Utilizing Microsoft Kinect and Arduino Uno for hardware, the project was honored as a Top 10 GTU project in 2016.

Basic Human Artificial Intelligence June 2015 to May 2016 I developed a Windows-based application that seamlessly combined voice recognition, facial recogni- tion, and gesture control, facilitating home automation tasks like voice-operated appliances, intelligent scheduling, music playback, and a responsive digital assistant. To accomplish specific functions, this project employed hardware elements like Microsoft Kinect and Arduino Uno, and it was honored as one of GTU’s top 10 projects in 2016.

TEACHING AND DEVELOPING EXPERIENCE

Mentored Undergraduate Students for the Virtual Eye-Tracking August 2023 onwards Led a Virtual Eye-Tracking project, guiding and mentoring three undergraduate students. Where they were given responsibility to transcribe the participants interviews (audio-video) to enhance their research and analytical skills.

Teaching and Leading Lab of Undergraduate course August 2022 to Dec 2022 The Teaching and Leading Lab for the undergraduate course CPSC 1210 is dedicated to instructing fundamental Computer Science concepts. This lab aims to provide effective teaching strategies and leadership in fostering understanding and proficiency in the specified course. Teaching Assistant, Clemson University August 2019 to Dec 2022 Collaborated with diverse professors at the university to provide valuable support in teaching, grading, and overseeing both graduate and undergraduate students across a wide range of courses, including Distributed/Clustered Computing, General-Purpose Computation on GPU, System Administration and Security, Software Engineering, Introduction to Operating Systems, Introduction to Programming in Java, Discrete Structures, Database Management Systems, Applied Data Science, and numerous others.

Assistant Professor, Gujarat Technological University Jan 2019 to July 2019 I served as an assistant professor, instructing fourth-year undergraduate students in a diverse range of courses, including 2180711 Python Programming, 2160711 .NET Technologies, and Computer Networks. Mentored an International student for Master Thesis September 2018 to February 2019 Fog computing is pivotal in IoMT, enabling real-time data processing, reducing latency, and enhancing data security, thus improving patient care and outcomes in modern healthcare. Understanding its significance is crucial for healthcare advancements. Junior Android Developer, Project Caf`e Aug 2016 to Dec 2016 I played a pivotal role in the development of Campus24X7, a groundbreaking socio-educational network that seamlessly unites all key stakeholders within educational institutions, such as teachers, students, administrators, and parents, on a unified and user-friendly platform. SERVICES

Women in IoT, University of Florida, USA October 2021 Women in IoT, University of Florida, USA October 2020 International Conference on Circuits and Systems in Digital Enterprise Technology-IEEE, India August 2018

International Conference on Information Processing in Sensor Networks-IPSN, ACM, USA April 2020 WORKSHOPS ATTENDED

Artificial Intelligence & Machine learning, GUJCOST March 2018 Android Programming, GTU, India June 2017

Azure Cloud Campus, GTU, India August 2015

Python Programming, IEEE, India June 2015

Career Development, GTU, India April 2015

PhP & SEO, IEEE, India February 2015

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