My Computer Science and Engineering Department

We are excited to share that our undergraduate students, Rahul Bulusu and Lareb Khan, won two First Places in the Engineering and Computing division poster presentations at USC Discover 2023 for their works.

Rahul works with Dr. Sanjib Sur, and Lareb works with Dr. Ramtin Zand.

This year the students in the Senior Capstone course developed 45 apps. There are:

• 17 web applications using technologies such as Django, node, express, Angular, react, Vue, firebase, AWS.
• 23 Android or iOS mobile apps using technologies such as Android Studio, Flutter, React Native Android, XCode, Firebase.
• 5 desktop apps using technologies such as Unreal Engine, Unity, C#, Pygame.

You can view video demos of all of them. 

This Summer we are offering some 500-level classes that we do not usually offer in the Summer, these include Windows Programming (.NET), Mobile Application Development, Visualization Tools, and a class on Cloud Computing (Azure) which has not been added to the schedule yet. Check the Summer schedule at my.sc.edu. Some of these classes will bet taught by people from Capgemini. CS majors can use them as part of a Cloud-Native Application Development career, along with some MGMT classes for the Application Area.

Dr. Sanjib Sur has been awarded the USC Breakthrough Star award which honors early career research faculty.

Sanjib Sur first became interested in millimeter-wave — a band of radio frequencies that enables high-speed broadband access — because of its potential to bring low-cost wireless connectivity to underserved populations. Since joining USC in 2018, that interest has persisted. Today, Sur is working on designing next-generation wireless network architectures and ubiquitous sensing techniques that make smart objects truly smart. 

Read the full article here.

The iCAS lab, directed by Dr. Ramtin Zand, has received recognition as a recipient of the ZPRIZE competition's Open Division award for "Accelerating Number Theoretic Transform (NTT) Operations on an FPGA." Only two academic labs were amongst the awardees with iCAS being the only one based in the US.

Congratulations to iCAS's graduate students, Mohammed Elbtity and Joseph Lindsay, for their leadership in hardware and algorithm development, and Peyton Chandarana and Mohammadreza Mohammadi, for their supporting contributions to the project.

We are proud to announce that Dr Qi Zhang has been awarded an NSF CAREER Award for his project titled "Identifying and Exploiting Multi-Agent Symmetries". The project's abstract:

It is widely believed by scientists that our universe follows certain symmetry patterns and principles, which lead to profound implications such as conservation laws. Artificial intelligence (AI) can and has already benefited tremendously from exploiting these symmetries. This project seeks to identify and exploit symmetries that are prevalent in cooperative AI tasks, where a group of multiple autonomous sequential decision makers, or agents, plan and learn to maximize their combined benefit. As an example, consider the application of adaptive traffic signal control, where each intersection can be modeled as an agent controlling its traffic signal in a way that adapts to real-time traffic conditions to reduce congestion. There exist certain symmetries when the topology of the road network is regular, e.g., as a 4-connected grid, and the road condition is uniform. When done properly, such multi-agent symmetries can be identified and exploited to greatly improve the efficiency and effectiveness of the current solutions to cooperative AI. This project also integrates the proposed research into an array of education initiatives, playing key roles in the curriculum development and undergraduate research experiences at the PI's university, as well as outreach activities that bridge academia with industry practitioners and community stakeholders.

We are happy to report that several of our faculty members have received research awards. They are:

• Dr. Forest Agostinelli received a grant from the SC Commission on Higher Education for the project "Quantifying Vascular Calcification and Predicting Patient Outcome with Synthetic Data, Deep Neural Networks, and Logic Programming"
• Dr. Ramtin Zand received a grand from ZKFlas Labs Inc. for their project on the "Design and Implementation of Hardware Accelerator for Zero-Knowledge Cryptography"
• Dr. Homayoun Valafar received several grants from the Health Sciences Center at Prisma Health for the projects: “Analysis of Patient Glycomic Profiles in Search for Breast Cancer Signatures Using Machine Learning Approaches”, “Comprehensive and User-Analytics-Friendly Cancer Patient Database for Physicians and Researchers”, and “Application of Artificial Intelligence (AI) in Predicting the Outcome of Cancer in Patients Using Cancer-Critical Gene Sequences and Clinical Data” co-PI with Anna Blenda.

We are excited to announce that our undergraduate student Rahul Bulusu has received the prestigious NSF Graduate Research Fellowship. He is one of 12 USC students that received the award this year.

Rahul currently works with Dr. Sanjib Sur on Drone-based NextG networking research.

Congratulations, Rahul!

Christian O’Reilly, a faculty member at the University of South Carolina’s Artificial Intelligence Institute (AIISC) and an assistant professor in the Department of Computer Science and Engineering, had extensive international experiences prior to arriving in Columbia in 2021. He worked in Switzerland on the internationally renowned Blue Brain Project and was postdoctoral fellow in Canada at the University of Montreal and McGill University. He has also completed research in identifying brain differences between neurotypical people and individuals diagnosed with autism spectrum disorder (ASD). Read the rest here.

In February, Amit Sheth, founding director of the Artificial Intelligence Institute of South Carolina, hosted Provost Donna Arnett, Vice President for Research Julius Fridriksson and College of Engineering and Computing Dean Hossein Haj-Haririto show off the institute’s ongoing success. President Michael Amiridis had already visited the institute in October.

Since its inception three and a half years ago, the institute has enjoyed rapid growth, earned significant accolades and fostered multiple partnerships in its efforts to infuse artificial intelligence expertise into the framework of research at South Carolina. Sheth and the five new faculty he helped recruit have secured funding for a growing team of over 40 researchers, including nearly 30 Ph.D. students funded through research grants.  Read the rest of the article here.

USC has joined the IBM Quantum Hub at North Carolina State University. In addition to supporting industry and university partners, the IBM Quantum Hub also focuses on educating the next generation of quantum computing users and developers.

With membership in the Quantum Hub, USC will gain access to over 20 of IBM’s quantum computing systems for commercial use and fundamental research. Facilitated through the Department of Computer Science and Engineering, USC partners (academic, community and industrial) will have full access to the membership. Consequently, the university faculty and students will have the opportunity to develop and test new algorithms for quantum hardware and collaborate on leading-edge experimental efforts.

Students and faculty can request access to the Quantum Hub.

Each year the Faculty of the Department of Computer Science and Engineering (CSE) award four Outstanding Senior Awards. This process is never easy given the many excellent and accomplished students in our program. This year, we have decided that the 2023 Computer Science and Engineering Outstanding Senior Awards go to:

• Lex Whalen: Computer Science Outstanding Senior Award.
• Ryan Capron: Computer Information Systems Outstanding Senior Award.
• Will Duggan: Computer Engineering Outstanding Senior Award.
• Allison Scott: Computer Engineering SCSPE Award.

All awardees will be honored at the University Awards Day ceremony.

ChatGPT has disrupted the narrative around AI and fired everyone’s imagination. Just like iPhone disrupted the market for mobile phones, Google did for search, Tesla did for cars, and Watson did for question-answering (with Jeopardy!), ChatGPT has people at every level of education spectrum trying it out for applications ranging from scientific articles to real-estate to law and business exams to programming, and much more. But technologies are not accepted by just its perfect performance but also a socio-technical ecosystem. For example, a car must drive properly but the legal, education, and standards framework allow a user to trust the enabling environment and confidently drive their vehicle on the roads. Similarly, conventional or new application domains alike, the adoption of chatbots were already hindered by the lack of a supportive socio-technical environment. With easy access of LLM-based tools like ChatGPT, the risk of harm will only increase unless other pillars are quickly built. To benefit society from the potential of LLM based technologies, the path forward is not to scuttle LLM-based tools but to increase investment and augment necessary other pillars for the technologies’ safe and trusted usage for the society.

Read the full article by Dr. Biplav Srivastava, or his online recording.

But as cybersecurity threats against critical infrastructure increase, innovative and adaptable solutions are necessary for protecting vulnerable components.Computer Science and Engineering Professor Csilla Farkas began a two-year project last September that aims to help implement an adaptive authorization framework for critical infrastructure that is more resilient against cyberattacks than current security solutions.

Read the complete story here.

Our computer science junior student Daniel Gleaves from Prof. Jianjun Hu’s group published his research of deep learning algorithms for materials research in Digital Discovery Journal from Royal Society of Chemistry. In this work, he applied semi-supervised deep graph neural networks for material synthesizability and stability prediction. His models can achieve significantly better performance compared to the existing state-of-the-art PU learning methods with the true positive rate increased from 87.9% to 92.9% using 1/49 model parameters. His models can be combined with deep learning based generative material design models from Dr. Hu’s group for large-scale screening of novel functional materials. The accepted manuscript “Materials synthesizability and stability prediction using Semi-supervised teacher-student dual neural network” can be downloaded from here. Daniel was a recipient of USC Magellan Scholarship. Dr. Hu’s machine learning and evolution laboratory (MLEG) has involved dozens of undergraduate students in their cutting-edge research on AI for science and deep learning for materials discovery, which has already led to four journal publications in leading materials science journals. Interested highly motivated students can contact Dr. Hu by email.

New materials discovered in this research

Dr. Jason Bakos has secured research funds from NSF on the project titled "A data-driven Fragility Framework for Risk Assessment of Levee Breach."