About Me

Who Am I?

Hi I'm Leron Julian. I am a Morehouse Man '19. Currently, I am a first-year PhD Student in Electrical & Computer Engineering at Carnegie Mellon University located in Pittsburgh, Pennsylvania.

Under the advisement of Dr. Aswin Sankaranarayanan my research, from a higher-level view, consists of using computer vision and machine learning in the application of understanding the interaction of light with materials in cameras.

My Specialty

My Skills

I am proficient in and have completed many projects in Python, C++, and Java. I also have experience in HTML/CSS, JavaScript, Node.js, R, and numerous other programming languages.

Python

90%

C++

90%

Java

85%

HTML/CSS

90%

Node.js

75%

R

75%
My Work

Publications

Previous research has been done that has explored the use of embodied conversational agents as mentors in faculty-student relationships. This previous system requires users to go to a unique website to interact with the conversational agent. This paper presents the design and development of a conversational agent mentor that uses a more pervasive application for dialogue, short message service (SMS). The SMS conversational agent is constructed to be used as a virtual mentor, to mentor undergraduate computer science majors at a Historically Black College (HBCU) who are considering pursuing a graduate degree in computing. A study has been designed to compare the effectiveness of the SMS conversational agent to the original conversational agent, an embodied conversational agent (ECA).

Leron Julian, Kinnis Gosha

Proceeding ACMSE '18 Proceedings of the ACMSE 2018 Conference Article No. 39, 2018

[Link To Article]

Previous studies have investigated the role of embodied conversational agents in providing mentoring advice in faculty- student relationships. One limitation is the need for the protégé to visit a specific website to access the agent (mentor). This paper presents the design and development of a conversational agent mentor that uses a more pervasive application for dialogue, short message service (SMS). The SMS conversational agent has been constructed to be used as a virtual mentor, to mentor undergraduate computer science majors at a Historically Black College (HBCU) who are considering pursuing a graduate degree in computing. This study has been designed to compare the effectiveness of the SMS conversational agent to the original conversational agent, an embodied conversational agent (ECA).

Leron Julian, Kinnis Gosha, Earl W. Huff Jr.

SIGMIS-CPR'18 Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research Pages 123-126, 2018

[Link To Article]

Experience

Work Experience

Software Engineering Intern Summer 2018

Software Engineering Intern at NBCUniversal in New York, NY.

Used Node.js, JavaScript, GraphQL, MongoDB, and React.js to upgrade and update existing larger-scale CNBC website from old technology powered by PHP and MySQL through Agile development. Using the same Full-Stack: Began initial development for website for the reboot of the Deal or No Deal show. Developed Front-end components using React.js and CSS on dealornodeal.cnbc.com Experienced configuring and documenting computer systems and server infrastructures that power web applications, client-server applications and online services using REST APIs.

Researcher Summer 2017

Conducted and published research as a Ronald E. McNair Scholar with aid of Research Mentor Kinnis Gosha, PhD.

Using Natural Language Processing Techniques, developed a Virtual Mentor Embodied Conversational Agent using Short Message Service and compared the effectiveness of it to a human mentor. Used the Twilio API, TwiML, JavaScript, Node.js, and hosted on Heroku application hosting.