UNT Computer Science and Engineering

Next semester, do you want to apply Computer Science algorithms to life science questions?

Dr. Oluwadare is telling all about his new course, CSCE 3850 - Introduction to Computational Life Science, in an upcoming 30-minute info session on September 29.

If you are interested, this is a great opportunity to hear from the professor and ask questions to learn more details and help make a decision for your Spring 2027 semester.

INFO SESSION
DATE: September 29, 2026
TIME: 2:30 - 3:00 p.m.
LOCATION: Discovery Park F223

WHY TAKE THIS COURSE?
- Learn how to frame biological questions computationally.
- Apply core concepts such as abstraction, decomposition, and logical reasoning to life sciences.
- Explore biological data - DNA sequences, networks, and images - through a computational lens.
- Build skills for modern interdisciplinary research and GenAI-driven science.

We're pleased to have IT alum, Kyle Taylor, visit Discovery Park tomorrow to talk with our Seminar and CSE students about, "Life after College & Entrepreneurial Activity."

Since graduation, Kyle has served as a solutions architecture & technical consultant and currently works as a Senior Sales Engineer for Datadog.

This talk is available to all CSE students interested.

Date: Thursday, September 24, 2026
Time: 3:25 - 4:45 p.m.
Location: Discovery Park F285

The demand for STEM educators and computer science professionals continues to grow, and teaching experiences like this allow students to strengthen their technical expertise while inspiring the next generation of engineers and innovators.

Rahul Sharma, a Ph.D. student in Computer Science and Engineering at the University of North Texas, is serving as a STEM Instructor for the Engineering course at Johns Hopkins University's Center for Talented Youth (CTY) this summer.

In this role, Sharma teaches and mentors academically gifted students through hands on, project based learning. He designs and leads engineering design challenges, facilitates engaging STEM activities and helps students apply engineering and physics concepts to solve real world problems while developing critical thinking, collaboration and problem solving skills.

Experiences like this provide University of North Texas students with valuable opportunities to build leadership and teaching experience while sharing their passion for STEM. By guiding advanced learners through engineering design and innovation, Sharma is helping cultivate the next generation of engineers and technology leaders.

We're proud to see Rahul representing the UNT College of Engineering at Johns Hopkins University's Center for Talented Youth and wish him continued success throughout his appointment.

Congratulations to UNT CSE Ph.D. candidate, Md Abdullah Al Forhad! He presented his research at the ICML 2026 Main Conference in Seoul, South Korea. ICML is one of the world's most prestigious machine learning conferences, ranked A* by CORE.

As first author, Forhad led the development of a new AI framework. It helps AI systems learn new tasks without forgetting previously acquired knowledge. This is a major challenge in building smarter, more adaptable AI.

This achievement reflects his strong research record at UNT. To date, Forhad has published four papers during his Ph.D. His research focuses on active learning, continual learning, and multimodal learning, under the mentorship of Dr. Weishi Shi.

Read the paper: https://openreview.net/pdf?id=ZPJbTXMYft

Fall 2026 Application is now open for undergraduates!

The UNT Department of Computer Science & Engineering proudly invites you to take part in the UR2PhD program, a virtual, undergraduate research mentoring & training program in conjunction with the CRA .

- Gain peer support & community – network with UNT faculty
- Learn information & insights on grad school
- Receive training on research methods
- Receive course credit
- All students in Year 2 or above are welcome.
- Women & underrepresented students are strongly encouraged to apply.

APPLICATION LINK: https://unt.az1.qualtrics.com/jfe/form/SV_5o5xDV6lgcai6mG
DEADLINE: August 8, 2026
MORE INFO: https://cra.org/ur2phd

Engineering doesn't end with designing technology. It also means understanding how innovation reaches the people who need it.

UNT Computer Science and Engineering student Jeffrey Bowman is interning with Texas Instruments as a Product Marketing and Applications Engineer Intern. In his role, he conducts market analysis, supports growth initiatives through company outreach, and develops demonstrations of next-generation products for customer meetings and presentations.

Experiences like this give our students the opportunity to combine technical knowledge with communication, business strategy, and customer engagement, preparing them for careers that bridge engineering and industry.

We're proud to see Jeffrey putting his skills to work this summer.

Dr. Pedram will introduce students to the design, optimization, and deployment of machine learning models on resource-constrained embedded systems. Available for BOTH undergrads and graduate students this Fall on my.UNT.edu.

CSCE 4930.003 for Undergraduate Students
CSCE 5933.003 for Graduate Students

Meeting Times: MW 1:50 - 3:10 p.m.
Instructor: Dr. Mahdi Pedram

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This Fall, learn how AI agents interpret context, define goals, decompose tasks, select actions, and interact with external tools, APIs, and data sources. Available for both undergrads and graduate students on myUNT.edu.

CSCE 4930.004 for Undergraduate Students
CSCE 5933.005 for Graduate Students

Meeting Times: MW 3:35 - 4:45 p.m.
Instructor: Dr. Zeenat Tariq