Seminar Series

Dr. Yue Wang UCF Department of Electrical & Computer Engineering Monday, April 7, 2025 12:00PM – 1:00PM HEC 101 Abstract Offline reinforcement learning (RL) focuses on learning good decision-making strategies from pre-collected datasets, without further interaction with the environment. This is especially important in high-stakes areas like healthcare and transportation, where active exploration can be […]

Dr. Nicole Yang Emory University Tuesday, May 21, 2024 11:00AM – 12:00PM R1 101A | Zoom Abstract Dynamical systems are widely used to model complex real-world phenomena. They are models based on physical principles, which are highly interpretable but have limits in expressive capabilities. Furthermore, the already high dimensional, and complicated behavior make them difficult […]

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 UCF 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 to ransomware […]