Events

Dr. Jialin Liu DAMO Academy, Albaba Group US Thursday, April 25, 2024 10:00AM – 11:00AM TCII 222 | Zoom Abstract AI and data science have demonstrated remarkable potential in enhancing optimization algorithms. Compared with traditional methods, utilizing AI/ML techniques can potentially offer improvements in aspects like computational speed and solution quality. Despite these advancements, a...

Dr. Kun Yang Princeton University Monday, April 22, 2024 10:00AM – 11:00AM TCII 222 | Zoom Abstract Novelty detection is important in the Internet of Things (“IoT”) due to the potential threats that IoT devices can present. One-Class Support Vector Machines (OCSVMs) are one of the common approaches for novelty detection due to their ability...

Dr. Ajmal Mian The University of Western Australia Thursday, April 18, 2024 12:00PM – 1:00PM HEC 101 | Zoom Abstract In this presentation, I will explore the manipulation of text-to-image (T2I) generative models through backdoors. I will present our Backdoor Attack on Generative Models (BAGM), which infuses the generated images with subtle manipulative details by...

Dr. Arman Zharmagambetov Fundamental AI Research (FAIR) group at Meta Thursday, April 11, 2024 10:00AM – 11:00AM HEC 101A | Zoom Abstract Modern machine learning (ML) models, trained on real-world data, now underpin a broad spectrum of applications. Behind the success of these models, discrete optimization lays the foundation of the modeling, decision making and...

Dr. Laura Brattain UCF College of Medicine, AI for Healthcare Monday, April 1, 2024 12:00PM – 1:00PM HEC 101 Abstract Recent research in biomedical AI has demonstrated the ability to not only aid in disease diagnosis and prognosis, but also facilitate procedure guidance and empower precision medicine approaches tailored to individual patients. To translate research...

Mr. Haomiao Ni Pennsylvania State University Thursday, March 14, 2024 10:30AM – 11:30AM HEC 101A | Zoom Abstract IIn the past two years, transformative AI products such as ChatGPT have underscored the profound impact of AI in our daily lives. Beyond natural language and image understanding, AI is revolutionizing healthcare, offering advantages such as assisting...

Dr. Jae Oh Woo Illinois Institute of Technology Tuesday, March 12, 2024 1:00PM – 2:00PM HEC 101A | Zoom Abstract In this presentation titled “Quantifying Uncertainties of Deep Neural Networks and Its Applications,” we delve into the critical task of measuring uncertainties in Deep Neural Networks. The talk will commence with a concise overview of...

Dr. Cuneyt Akcora Barry S. Miller College of Business, AI for Finance Monday, March 4, 2024 12:00PM – 1:00PM HEC 101 Abstract Blockchains allow pseudo-anonymous transactions, which has made it easier to create a payment ecosystem used worldwide. However, the ease of blockchain use has also attracted e-crime actors with malicious activities ranging from sextortion...

Ms. Yao Yao University of Iowa Thursday, February 8, 2024 11:00AM – 12:00PM TC 222 | Zoom Abstract Artificial intelligence (AI) and machine learning technologies have been used in high-stakes decision making systems such as lending decision, criminal justice sentencing and resource allocation. A new challenge arising with these AI systems is how to avoid...

Announcing the Final Examination of Sijie Zhu for the degree of Doctor of Philosophy in Computer Science...

Announcing the Final Examination of Ce Zheng for the degree of Doctor of Philosophy in Computer Science...

Dr. Murat Kantarcioglu The University of Texas at Dallas Wednesday, September 6, 2023 10:00AM – 11:00AM HEC 101A | Zoom Abstract In the age of big data and Artificial Intelligence (AI), protecting the security and privacy of stored data is paramount for maintaining public trust, accountability and getting the full value from the collected data...

Ms. Shahana Ibrahim Oregon State University Friday, June 30, 2023 2:00PM – 3:00PM CREOL 102/103 | Zoom Abstract With the rise of the AI revolution, there is an exceptionally high demand for data labeling. However, most data labeling is done through crowdsourcing techniques, where non-expert annotators often provide labels. This results in considerably noisy labels...

Mr. Junchi Yang ETH Zurich Thursday, June 29, 2023 10:00AM – 11:00AM TC2 222 | Zoom Abstract Recent advancements in Artificial Intelligence (AI), such as AlphaZero and ChatGPT, have significantly impacted various fields. Reinforcement learning (RL) plays a crucial role in these achievements. However, deploying RL in real-world applications, including robotics, finance, and healthcare, presents...

Dr. Amrit Singh Bedi University of Maryland Monday, June 26, 2023 10:00AM – 11:00AM Research I 101 | Zoom Abstract Recent advancements in Artificial Intelligence (AI), such as AlphaZero and ChatGPT, have significantly impacted various fields. Reinforcement learning (RL) plays a crucial role in these achievements. However, deploying RL in real-world applications, including robotics, finance...

Dr. Dixon Vimalajeewa Texas A&M University Thursday, May 25, 2023 10:00AM – 11:00AM Technology Commons II 222 | Zoom Abstract The recent advancements in Internet of Things (IoT), Internet of Nano-Things (IoNT), and Information and Communication Technologies have made it possible to collect large amounts of data from previously inaccessible locations, such as the human...

Dr. Alexander Alemi Google Wednesday, May 24, 2023 10:00AM – 11:00AM Research I 101 | Zoom Abstract We are in the era of deep learning. The alchemy that is deep learning enables us to tractably search in the space of functions. Our challenge then is to provide meaningful objectives to guide that search. I will...

Mr. Chuanhao Li University of Virginia Monday, May 22, 2023 11:30AM – 11:30PM HEC 101B | Zoom Abstract Interactive decision making (e.g., bandit and reinforcement learning) is a promising paradigm for developing intelligent systems capable of efficiently exploring unknown environments. It has achieved remarkable success in recommender systems, clinical decision systems, robotics and cyber-physical systems...

Dr. Anh Nguyen Auburn University Wednesday, May 17, 2023 11:00AM – 12:00PM HEC 101A | Zoom Abstract Artificial Intelligence (AI) is becoming ubiquitous and a key that enables humankind to reach unprecedented horizons (e.g. in protein folding). However, in high-stake applications (e.g. cancer diagnosis, automated target detection, or face identification), a single incorrect decision of...

Ms. Xin Zhang Worcester Polytechnic Institute Tuesday, May 16, 2023 2:00PM – 3:00PM HEC 101A | Zoom Abstract Technology advancement in mobile sensing and communication has enabled a massive amount of mobility data to be generated from human decision-makers, which we call human-generated spatial-temporal data (HSTD). Applying the HSTD to extract the unique decision-making strategies...