Purdue CS researchers help manufacturers reduce energy use as part of AnalytiXIN project
Purdue University researchers will help manufacturers reduce their energy and carbon footprints as part of the AnalytiXIN manufacturing data analytics project. The $2.2M budgeted project brings together Indiana’s top research universities – Purdue, Indiana University, and the University of Notre Dame – to develop energy analytics applications for manufacturers and a publicly available data lake for continued research and education.
Goldwasser wins Amazon Research Award
Congratulations to Professor Dan Goldwasser for his project titled, Understanding Socially Grounded Language using Contextualized Discourse Embedding.
The project looks at the short and highly coded nature of social media content and interpretation of the author’s intent. Viewing social media analysis in a different way, as a scenario understanding task, answering the question –“who is saying what about whom?” at the scenario discourse level.
AI-based credibility indicators for fighting fake news
Using AI-based credibility indicators to tag social posts is a way to provide instant feedback on the legitimacy of the content in social posts. Assistant Professor Ming Yin and her students; Zhuoran Lu, Patrick Li, and Weilong Wang won a Best Paper Award for The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence at the ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW).
Provable defense framework for backdoor mitigation in federated learning
When tasked with creating a robust machine learning application, how do we prevent backdoor attacks while using Federated Learning? The researchers proposed FLIP – a Federated LearnIng Provable defense framework (FLIP) equipped with a theoretical guarantee to protect from compromised devices creating backdoor attacks.
For their work, Professor Xiangyu Zhang, and PhD students: Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, and Shiwei Feng from Purdue University’s Department of Computer Science, Dr. Pin-Yu Chen from IBM Research, and Professor Shiqing Ma from Rutgers University were awarded best paper at the 2022 European Conference on Computer Vision (ECCV 2022) AROW Workshop.
Bhargava receives Distinguished Alumnus Award
Professor Bharat Bhargava was honored with a Distinguished Alumnus Award for 2022 from the Indian Institute of Science (IISc). The award is in recognition of his pioneering contributions to cyber security, applied machine learning and autonomous systems, and exemplary mentorship of students from underrepresented backgrounds.
Computational Persistence 2022 is organized by Professor Tamal K. Dey, Tao Hou, and Abhishek Rathod. The workshop is intended for graduate students, postdocs, and faculty who are interested in the area of data analysis using computational and algebraic topology. The Department of Computer Science welcomes attendees to the Computational Persistence 2022, to be held virtually from MON OCT 31 - FRI NOV 4.
ECCV 2022 - AROW Workshop
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang (Purdue University), Guanhong Tao (Purdue University), Qiuling Xu (Purdue University), Siyuan Cheng (Purdue University), Shengwei An (Purdue University), Yingqi Liu (Purdue University), Shiwei Feng (Purdue University), Guangyu Shen (Purdue University), Pin-Yu Chen (IBM Research), Shiqing Ma (Rutgers University), Xiangyu Zhang (Purdue University) *Awarded Best Paper
Recent deep-learning-based methods achieve great performance on various vision applications. However, insufficient robustness on adversarial cases limits real-world applications of deep-learning-based methods. AROW workshop aims to explore adversarial examples, as well as, evaluate and improve the adversarial robustness of computer vision systems.
25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW)
The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence Zhuoran Lu (Purdue University), Patrick Li (Purdue University), Weilong Wang (Purdue University), Ming Yin (Purdue University) *Awarded Best Paper
CSCW is the premier venue for research in the design and use of technologies that affect groups, organizations, communities, and networks. Bringing together top researchers and practitioners, CSCW explores the technical, social, material, and theoretical challenges of designing technology to support collaborative work and life activities. Join us as we explore how technologies can enable new ways of living and working together.
IEEE/ACM Automated Software Engineering (ASE)
SA4U: Practical Static Analysis for Unit Type Error DetectionMax Taylor (OSU), Johnathon Aurand (OSU), Feng Qin (OSU), Xiaorui Wang (OSU), Brandon Henry (Tangram Flex), Xiangyu Zhang (Purdue University)
The IEEE/ACM Automated Software Engineering (ASE) conference is the premier forum for automated software engineering and brings together each year researchers, practitioners, and educators to discuss the most recent innovations, trends, experiences, and challenges.
A NEW HOME FOR DATA SCIENCE
A priority for the University, the Data Science major prepares its students for careers in virtually every area of society by blending modern mathematics, statistics, and computer science. The building now known as Schleman Hall will be renovated as the Data Science building, becoming the program’s new home and serving as a vibrant and iconic spot for students to gather, study, and collaborate in an ideal location close to related College of Science departments in the heart of Purdue’s campus.
Your support for the Schleman Hall renovation will give Data Science students and faculty an exciting hub in which to collaborate and conduct research and will ensure that Purdue remains at the forefront of this rapidly changing field that impacts all aspects of life.
Contact James Parker at japarker@purdueforlife.org or at 765-496-3525 to learn how you can support this project.
Future students may visit Purdue's campus and tour the Department of Computer Science. Our visit opportunities give you a chance to experience life at Purdue - whether you want to do that in-person or virtually. Learn more about the Department of Computer Science at Purdue University.
PURDUE CS | BY THE NUMBERS
UNDERGRADUATE PROGRAM
AN ERA OF GROWTH
In the profession of computer science, demand for our majors continues to grow - once again we have broken our own record for the number of applications for freshman admissions at more than 8,700. At the start of fall classes, 785 freshman students joined our previous classes for more than 2,600 undergraduates.
This year, freshman women students represent 26% of the undergraduate population and women are 24.3% among all undergraduate students.
US NEWS RANKS PURDUE
GRADUATE PROGRAM
Our graduate population has exploded with 538 MS and PhD students for the 2022-23 academic year. This represents a 26% increase in growth from the previous year.
