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AI Roundtable Discussion, AI-ification, AI-athon

The AI Institute at the University of South Carolina is happy to announce the inauguration of the following activities as part of its second phase of operation. As the primary objectives of enhancing research and educational capacity, engaging the broader community, and developing a modern workforce, the AI Institue@USC is happy to announce the following activities:

AI Roundtable Discussion: Join us in a 2-hour meeting when an AI-related topic (suggested by the USC community) is presented by a panel of experts (during the first hour) and discussed by the broader community of participants and experts (during the second hour). The topics will be suggested by the participants and selected based on popularity. First Friday of the month. Registration form

AI-ification: Present your research that can benefit from modern AI approaches to a panel of friendly and knowledgeable AI practitioners during the first hour of this meeting. During the second hour of the meeting, the panel will brainstorm and recommend ways of integrating modern AI techniques into your existing research. Form new collaborations and partnerships during the brainstorming session, take the formed ideas to AI-athon, and embark on your path to Deep AI-ification. Second Friday of the month. Registration form.

AI-athon: Bring your data, research problem, and a potential Machine Learning approach (perhaps developed during AI-ification) for full implementation during a one-day hands-on workshop. The AII will provide space and expertise to guide you through installation, coding, and development of a Machine Learning engine. To remain effective, we aim to offer a low participant-to-instructor ratio, therefore, space is limited. At the end of this one-day workshop, you will walk away with a functional ML engine, the knowledge of how to improve the core engine, and have formed a collaborative research in AI/ML. Third Friday of the month. Registration form.

New Language-Learning App Hits all the Right Notes

What if your Spotify playlist could help you learn another language? Thanks to the Lyraquist app, developed by five College of Engineering and Computing seniors, that possibility will soon be a reality.

At the South Carolina Honors College Thesis Symposium on Friday, April 12, Siri Avula, Ashley Bickham, Vivian D’Souza, Mahi Patel and Tanvi Singh unveiled their CEC capstone project: the Lyraquist app. The five women, four of whom—Avula, D’Souza, Patel and Singh—are Honors students, designed Lyraquist to sync with a user’s Spotify Premium playlist. As users listen to songs in French, German and Spanish, the app utilizes Google translate to offer word-for-word English translations of the lyrics. Read the full article here.

Deep Learning Master Class by Dr. Agostinelli

Forest Agostinelli gave a Master Class at the 17th International Symposium on Combinatorial Search (SoCS) on Deep Learning, Reinforcement Learning, and Heuristic Search. The one-hour talk covered his research group’s advancements in the combination of machine learning and heuristic search and its application to problems such as the Rubik’s cube, quantum algorithm compilation, and reaction mechanism prediction.

A Better Assessment provides a quick history of Dr. Agostinelli's work.

First Place Award at DAC University Demonstration

The iCAS lab, directed by Dr. Ramtin Zand, won the first-place award at the 2024 University Demonstration at DAC, The Chips to Systems Conference for the project titled "HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI."

Demo by: Brendan Reidy and Peyton Chandarana, Ph.D. Research Assistants

Project Description: With the rise of tiny IoT devices powered by machine learning (ML), many researchers have directed their focus toward compressing models to fit on tiny edge devices. Recent works have achieved remarkable success in compressing ML models for object detection and image classification on microcontrollers with small memory, e.g., 512kB SRAM. However, there remain many challenges prohibiting the deployment of ML systems that require high-resolution images. Due to fundamental limits in memory capacity for tiny IoT devices, it may be physically impossible to store large images without external hardware. To this end, we propose a high-resolution image scaling system for edge ML, called HiRISE, which is equipped with selective region-of-interest (ROI) capability leveraging analog in-sensor image scaling. Our methodology not only significantly reduces the peak memory requirements, but also achieves up to 17.7x reduction in data transfer and energy consumption.

Paper Authors: Brendan Reidy, Sepehr Tabrizchi, MohammadReza Mohammadi, Shaahin Angizi, Arman Roohi, and Ramtin Zand

Dr. Sanjib Sur Receives Grant Awards

Dr. Sanjib Sur has received grant awards for his two projects:

  • "Precision Processing of Autonomous Maritime Perception System Data - Phase III" funded by Office of Naval Research (ONR)/DOD
  • "Advanced Perception for Autonomous Platforms in the Littorals" funded by Office of Naval Research (ONR)/DOD

Jamshidi Earns Recognition for Most Influential Paper

Jamshidi received the Most Influential Paper Award in April at the 19th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) in Lisbon, Portugal. Jamshidi’s paper, “Autonomic Resource Provision for Cloud-based Software,” was submitted, accepted and published just prior to earning his Ph.D. from Dublin City University in Ireland in 2014. It was presented at the 2014 SEAMS Conference in India. See original post for details.

Narayanan Seeks to Enhance Safety, Efficiency of Dynamic Systems through AI

Since 2021, Assistant Professor Vignesh Narayanan has taught in the Department of Computer Science and Engineering and is affiliated with the Artificial Intelligence Institute of the University of South Carolina (AIISC) and Carolina Autism and Neurodevelopment (CAN) Research Center. He is passionate about the integration between AI and dynamic systems, and its impact on safety and efficiency for consumers. Narayanan’s research surrounds the interaction between humans and dynamic systems to prevent such systems from unsafe behavior as they change over time. 

Read the full article here.

Dr. Sur Receives NSF Research Award

Dr Sanjib Sur has received a National Science Foundation (NSF) research award for his project titled "Modernizing Underground Mines Operations with Millimeter-Wave Imaging and Networking". You can learn more about his research here and in the article Improving underground mining safety with millimeter wave technology.

"The project aims to address the unique challenges of sensing and networking in underground mining environments by employing millimeter-wave (mmWave) wireless, a core technology for 5G and beyond standards. This technology is particularly suited for the harsh conditions of underground mines, such as dust and low light or dark conditions. However, the adoption of mmWave technology in mining is challenging due to reconstructing high-quality 3D maps in complex structures, fusing static and mobile underground real-time maps, and deploying mmWave communication infrastructures. By overcoming these challenges, this project seeks to enhance safety in mining operations, improve operational efficiency through better resource management, navigation, and machinery positioning, and contribute to the national interest by advancing the future of autonomous mining systems."

Hem Regmi Awarded C.C. Royal Fellowship

We are delighted to share with you that Hem Regmi, a PhD student of Sanjib Sur, has won this year's C.C. Royal Fellowship, one of the Trustee Fellowships from the Graduate School. The competition for these fellowships is fierce, and this is an amazing achievement for both Hem and Sanjib.

Dr. Jamshidi Receives Most Influential Paper Award at SEAMS

We are happy to announce that Dr. Jamshidi, A. Ahmad, and C. Pahl were recipients of a Most Influental Paper Award at the 9th International Symposium of Software Engineering for Adaptive and Self-Managing Systems for their paper "Autonomic Resource Provisioning for Cloud-Based Software."

CSE Research Symposium Poster Winners

The winners of our Research Symposium were:

  • 1st place: Poster #22. Flex-TPU: A Flexible TPU Architecture with Runtime Reconfigurable Dataflow Presenter: Peyton Chandarana
  • 2nd place: Poster #2. Rethinking Robust Contrastive Learning from the Adversarial Perspective Presenter: Fatemeh Ghofrani
  • 3rd place: Poster #4. MilliCar: Accurate 3D Bounding Box Prediction of Vehicles and Pedestrians in All Weather Conditions Presenter: Reza Tavasoli; Hem Regmi

Katelyn Wyandt Awarded Goldwater Scholarship

Katelyn Wyandt has been awarded the prestigious Goldwater scholarship. More than 400 higher education institutions nominate up to four students each academic year for the $7,500 awards meant to encourage undergraduate students to pursue research careers in natural sciences, engineering and mathematics. Katelyn is an Honor's College student and a junior computer science major from Summerville, South Carolina. She as been conducting research since she was a freshman at USC. Read the full article here.