SDSU Electrical Engineering & Computer Science

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SDSU Electrical Engineering & Computer Science

Our mission is to offer world-class education, cutting-edge research, and a path to careers shaping the future.

Follow for program updates, achievements, and innovations. The McComish Department of Electrical Engineering and Computer Science at South Dakota State University is a hub of innovation, offering a diverse range of undergraduate and graduate programs. With 14 full-time faculty and over 500 students, the department provides cutting-edge education in electrical engineering and computer science. Our

accredited programs emphasize hands-on learning, research, and individual attention. We are home to renowned research centers, including the Center for Power Systems Studies and the Image Processing Lab, and offer opportunities for supervised research in areas such as machine learning, telemedicine, energy systems, and more. Our mission is to equip students with the skills and knowledge to excel in their careers and drive technological advancements. Explore how our programs can help you achieve your career goals and be part of our legacy of excellence.

12/11/2025

Calling all EECS Students! Take a break!

If you are on campus today for finals, make sure to swing by Room 214. We are hosting "Final Cookies" today only!

Come grab some coffee, donuts, cookies, and snacks to keep you fueled for your exams. It’s a small way to say we are cheering for you as you finish up the semester!

Big thanks to Dennisse Bedard for setting this all up. Wishing everyone good luck on their tests today finish strong!

Where: Room 214 When: Today, Thursday, Dec 11th

12/03/2025

Call for Posters: Innovate AI 2026

We're excited to announce an incredible opportunity for students, researchers, and innovators! Submit your groundbreaking AI research to showcase at our Innovate AI 2026 symposium featuring AI applications in healthcare, national security, agriculture, energy, and so much more.

Key Dates:

Poster Submission Deadline: January 31, 2026
Acceptance Notifications: February 15, 2026
Poster Session & Walkthroughs: March 27, 2026

Who Should Submit?
Undergraduate & graduate students | Postdoctoral scholars | Faculty-led research groups | Interdisciplinary AI/ML teams

This is your chance to connect with industry leaders, faculty, peers, and potential employers while competing for Best Poster Awards. Whether your work focuses on generative AI, responsible AI ethics, or cutting-edge applications we want to hear from you!

Ready to showcase your research?

Submit Your Poster: https://www.sdstate.edu/jerome-j-lohr-engineering/ai-symposium-poster-submission-form

Register Now (Limited Seats!): https://www.sdstate.edu/jerome-j-lohr-engineering/innovate-ai-2026

Don't miss this chance to make an impact!

11/16/2025

PhD Defense Announcement

Join us on November 20, 2025, as Omeshamisu Anigala defends her doctoral dissertation in Electrical Engineering and Computer Science.

Defense Details:
Date: November 20, 2025
Time: 8:00 AM - 11:00 AM
Location: DEH 317

Omeshamisu's research under Dr. Chulwoo Pack focuses on developing a unified framework for video anomaly detection that addresses robustness, data reliability, interpretability, and fairness. Her work integrates multimodal learning with systematic approaches to dataset quality evaluation, model explainability, and bias detection.

This research contributes to advancing computer vision systems that are not only accurate but also transparent and equitable in their decision-making processes.

All faculty, students, and interested community members are invited to attend this public defense. Your support is appreciated as Omeshamisu reaches this important milestone in her academic journey.

Congratulations to Omeshamisu on reaching this stage of her doctoral studies.

11/13/2025

PhD Defense Announcement

We are pleased to announce that Jiahui Yuan will defend his doctoral dissertation on November 20, 2025, from 2:00 PM to 5:00 PM in SRPA 236.

Jiahui is a doctoral candidate and working under the supervision of Dr. Xiaojun Xian. His dissertation, "Porous Carbon-Based Nanostructures for Lithium-Ion Storage and VOC Sensing," presents significant contributions to the field of advanced nanomaterials.

His research focuses on engineering porous carbon-based nanostructures for electrochemical energy storage and volatile organic compound sensing applications. Through innovative design of hierarchical structures and surface modifications, Jiahui's work addresses critical challenges in battery technology and environmental monitoring systems.

The defense will cover his development of miniaturized gas sensors for formaldehyde detection, high-performance lithium-sulfur battery frameworks, and hybrid nanostructures that enhance energy storage performance.

Faculty, students, and members of the research community are welcome to attend. Please join us in supporting Jiahui as he presents his research and completes this significant academic achievement.

For additional information, please contact Dr. Xiaojun Xian.

11/10/2025

AI Colloquium: Dr. Yan Ma on AI-Powered Text Input Technologies

The McComish Department of Electrical Engineering and Computer Science is excited to host Dr. Yan Ma from Kean University for our upcoming AI Colloquium.

Event Details:
Friday, November 14, 2025
11:00 AM
Daktronics Engineering Hall, Room 317

About the Presentation:
Dr. Ma will share her cutting-edge research on how large language models are transforming text input technologies. Her work addresses real-world challenges in human-computer interaction, including:

Flexible typing systems that adapt to individual user preferences
SwipeTyping technology for enhanced input performance
KeySense, which reduces fatigue during touchscreen typing
Early Parkinson's Disease detection through typing pattern analysis

About Dr. Yan Ma:
Dr. Ma is a tenure-track Assistant Professor of Computer Science at Kean University, with a Ph.D. from Stony Brook University. Her research focuses on AI-powered input technologies, accessibility, and human performance modeling.

This presentation offers valuable insights into the practical applications of large language models beyond text generation, with implications for accessibility and assistive technology development.
Free and open to all students, faculty, researchers, and industry professionals. Join us to explore the future of human-computer interaction.

For more information, contact the McComish Department of EECS.

11/03/2025

We are so excited and grateful to announce the new Jerry & Nancy Tunheim Scholarship in Electrical Engineering!

A heartfelt thank you to SDSU alumnus Dr. Jerald Tunheim and his wife, Nancy, for their incredible generosity.

Dr. Tunheim's own SDSU education was made possible by a scholarship. Now, he and Nancy are giving back to create those same life-changing opportunities for our students.
We are so grateful for their support and for their belief in our future engineers. What a wonderful way to pay it forward!

(Awards begin 2027/2028.)

Hashtags:

10/24/2025

The SDSU Robotics Club has been awarded new venture funding, and this is a proud moment for our entire SDSU EECS community. This support will help our students grow through competitions, research, hands-on projects, and outreach.

We sincerely thank the Students’ Association Senate for believing in our students and their work. We are also grateful to our faculty, mentors, alumni, and club members whose dedication made this possible.

This funding is not just for the club it is an investment in innovation, teamwork, and the future of engineering at SDSU.

10/16/2025

SDSU EECS Research Published in Top Venue, Boosts AI Communication Efficiency by 45%

We are thrilled to announce a significant research publication from our department in the top-tier journal, IEEE/ACM Transactions on Networking.

Ph.D. student Beining Wu and Assistant Professor Dr. Jun Huang has co-authored a groundbreaking paper titled, "Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework."

Their work addresses the critical challenge of ensuring fast and accurate communication in convoys of smart vehicles (like self-driving trucks or autonomous rovers). The novel AI-driven framework they developed, named RACE, optimizes how vehicles share and learn from data, achieving an impressive 45% improvement in information timeliness.

This research not only advances the field of smart transportation but also showcases the power of collaboration. Congratulations to Beining and Dr. Huang, as well as their co-authors Dr. Qiang Duan The Pennsylvania State University, Dr. Liang (Leon) D**g Baylor University, and Dr. Zhipeng Cai Georgia State University on this outstanding achievement.

Read the full paper here: https://arxiv.org/pdf/2507.00856

10/15/2025

Robotics Club bringing it at Hobo Day!
Our EECS students showed up and showed out at this year's Hobo Day Parade with their black hole float. From planning to building to parade day they made it happen.
This is what happens when talented students collaborate on something they're passionate about. Proud of this team!

10/08/2025

Join us for an exciting AI Colloquium! Dr. Jianlin Cheng from the University of Missouri-Columbia will present his groundbreaking work on AI methods for protein-ligand structure and binding affinity prediction. Dr. Cheng's research is revolutionizing drug discovery and design!

📅 October 31, 2025 | ⏰ 11:00 AM | 📍 DEH 317

Dr. Cheng is a distinguished researcher with over 270 publications and has consistently ranked among the top performers in international protein structure prediction competitions. His latest work on FlowDock is pushing the boundaries of what's possible in computational drug discovery.

Whether you're interested in AI, bioinformatics, or just want to learn about cutting-edge research, this is an event you won't want to miss!

10/03/2025

Celebrating Research Excellence at SDSU!

The McComish Department of Electrical Engineering and Computer Science is thrilled to recognize two exceptional students who brought home awards from the 2025 Sioux Valley ACS Research Symposium!

Amirhossein Amjad - 1st Place, Graduate Student Division
Matthew Wieberdink - 3rd Place, Undergraduate Student Division

The Sioux Valley ACS Research Symposium, hosted by the American Chemical Society's local section, brings together the brightest student researchers from across the region to present their innovative work. Our students not only participated they excelled!

These achievements are a testament to the quality of research happening right here at South Dakota State University and the dedication of our students who push boundaries every day.

Whether in the lab, the classroom, or at competitions, our Jackrabbits continue to make us proud.
Please join us in congratulating Amirhossein and Matthew on this incredible accomplishment! 💙💛

Go Jacks! 🐰

10/01/2025

AI Colloquium: Leveraging Graph Structure in Machine Learning

The McComish Department of Electrical Engineering and Computer Science invites you to attend a special AI Colloquium presentation by Dr. June Zhang, Associate Professor of Electrical and Computer Engineering at the University of Hawai'i at Manoa.

Presentation Title: "Leveraging Graph Structure in Model Selection, Out-of-Distribution Detection, and Contrastive Learning"

Date: Friday, October 3, 2025
Time: 11:00 AM
Location: Daktronics Engineering Hall (DEH), Room 317

About the Presentation:
Dr. Zhang will explore how structural information from graphs can enhance machine learning models across multiple applications. Her research addresses:

Model selection for multivariate Gaussian graphical models using graph coding and minimum description length (MDL) frameworks
Out-of-distribution detection with normalizing flow generative models
Knowledge graph link prediction using HaSa (Hardness and Structure-Aware Contrastive Knowledge Graph Embedding), a novel approach she developed

About Dr. Zhang:
Dr. Zhang earned her Ph.D. from Carnegie Mellon University and holds degrees from Georgia Tech (B.S. with Highest Honor) and Stanford University (M.S.). She completed postdoctoral work at the CDC and currently serves as co-PI for the NSF AI Institute in Dynamic Systems and the NSF Research Traineeship Program. Her research expertise spans network/graph analysis, complex dynamical systems, and self-supervised learning.

Take out some time and join us. Whether you're interested in AI research, machine learning applications, or cutting-edge computational methods, this presentation offers valuable insights into the future of artificial intelligence.
We hope to see our Jackrabbit community there! For more information, contact the McComish Department of EECS.

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