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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.

CS and CIS: Liberal Arts and Application Area Requirements Replaced with Electives

Starting this Fall 2024 the CS Application Area Requirement, and the CS and CIS Liberal Arts Requirements are being replaced by a more relaxed "Electives" requirement. Any USC course can be used to satisfy the new Electives requirement, including CSCE courses (check out CSCE 180: "Artificial Intelligence for All" this Fall) Also, the total number of credits required for a degree has been reduced for the majority of students. The set of required CSCE courses remains the same. See the new CS Major Requirements and CIS Major Requirements for details. 

It starts Fall 2024, so only applies to those graduating in December 2024 or later. You can switch to the new 2024 requirements if you want. Just ask your Advisor to do it. It will mean you have more freedom with your electives and will need fewer or the same number of credits to graduate.

Students Present Papers at AAAI-MAKE Spring Symposium

From left to right: Amit Sheth, Nicholas Harvel, Dr. Edward Feigenbaum,  Dr. Manas Gaur (USC alumnus), Kaushik Roy, and Yuxin Xi.  Kaushik and Xi are USC CS PhD students.

Students presented the papers below at the  Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024) AAAI Spring Symposium at Stanford University. Download papers here.

  • Yuxin Zi, Kaushik Roy, Vignesh Narayanan, and Amit Sheth presented their paper titled "Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge"
  • Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil and Krishnaprasad Thirunarayanan:
    "K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries".
  • Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan and Amit Sheth:
    "Causal Event Graph-Guided Language-based Spatiotemporal Question Answering"

Dr. Zand Receives NSF CAREER Award

Ramtin Zand

We are proud to announce that Dr. Ramtin Zand has received an NSF CAREER award for his research on "Heterogeneous Neuromorphic and Edge Computing Systems for Realtime Machine Learning Technologies". 

This project aims to harness the combined capabilities of neuromorphic and edge computing to forge a heterogeneous machine learning system. Its primary goal is to enable computer vision and language models on resource- and energy-constrained devices at an unprecedented scale. It focuses on several key aspects: (1) developing hybrid models that merge the energy efficiency, temporal sparsity, and spatiotemporal processing of spiking neural networks with the global processing of transformer models for complex large-scale computer vision tasks, (2) creating a methodology to deploy large language models on edge devices by employing system-level innovations such as computational graph modifications, custom kernels, and mathematical refactoring, (3) designing a flexible edge artificial intelligence (AI) accelerator to overcome hardware limitations hindering real-time implementation of large transformer models at the edge, (4) seamlessly integrating a heterogeneous system of mobile processors, edge AI accelerators, and neuromorphic hardware for a comprehensive end-to-end solution. Throughout the project, rigorous investigation delves into critical trade-offs between bandwidth, accuracy, performance, and energy consumption.

Also see this article about Dr. Zand and his research.

AAAI Best Demo Award

PosterThe paper titled  "Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning," by Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns, has been selected for the Best Demo Award at AAAI-24. AAAI is a top AI conference and was held over the past week.

The work enables detailed simulations of opinion evolution and strategic interventions using planning. Designed to enhance human-AI collaboration, the framework supports the creation of strategies that facilitate a deeper understanding and informed engagement with the opinion evolution in networks. It was selected from 30 demos, which themselves were selected from a pool of 97 submissions. You can read the poster and watch the video presentation.