Past Events

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 Machine learning applications have brought about new optimization challenges, particularly in the area of trustworthy machine learning, which requires gametheoretical formulations to seek equilibrium. Furthermore, these large-scale problems demand adaptive methods such as Adam and AdaGrad to adjust…...

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 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 body, at…...

Dr. Alexander Alemi Google Wednesday, May 24, 2023 10:00AM – 11:00AM Research I 101 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 present a…...

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…...

Mr. Yue Wang University at Buffalo Monday, May 15, 2023 10:00AM – 11:00AM HEC 101A | Zoom Abstract Reinforcement learning has achieved remarkable success in various applications, such as video games, the game of Go, and the development of ChatGPT. However, most traditional reinforcement learning methods suffer from performance degradation due to the gap between…...

Dr. Maryam Bagherian Yale University Monday, May 8, 2023 10:30AM – 11:00AM MSB 318 Abstract Distance metric learning is an approach in high-dimensional analysis which facilitates the exploration of underlying structures among data points in an effective and efficient manner. By learning a suitable distance metric, distance-based algorithms can better capture the intrinsic structure of…...

Dr. Laura Brattain MIT Lincoln Laboratory Wednesday, May 3, 2023 3:30PM – 4:30PM COM 302 | Zoom Abstract With the rapid advances in artificial intelligence (AI), biomedical AI is poised to transform healthcare at scale. To spearhead the translation from bench to bedside, we need to go beyond standalone AI algorithms but instead endeavor to…...

Dr. Cuneyt Akcora Manitoba University Tuesday, May 2, 2023 3:00PM – 4:00PM Zoom Abstract Recently, there has been an increasing interest among machine learning researchers in topological approaches. Topological Data Analysis (TDA) is an emerging field that combines algebraic topology, statistics, and computer science to analyze data sampled from a metric space and recover the…...

Dr. Aritra Dutta University of Southern Denmark Monday, May 1, 2023 10:00AM – 11:00AM MSB 318 | Zoom Abstract When there is a lot of training data or the deep neural network is too large, distributed parallel training becomes essential, which refers to either data or model parallelism. In both cases, parallelism introduces various overheads.…...

Dr. Nare Karapetyan University of Maryland Tuesday, April 18, 2023 1:30PM – 2:30PM Zoom Abstract In the pursuit of understanding the world around us, significant efforts are dedicated to developing dependable autonomous systems capable of planning out exploration tasks. These tasks encompass a range of applications, such as scientific sampling, environmental monitoring, surveillance, and search…...

Dr. Huaxiu Yao Stanford University Thursday, April 13, 2023 10:00AM – 11:00AM Zoom Abstract The real-world deployment of machine learning algorithms often poses challenges due to shifts in data distributions and tasks. These shifts can lead to a degradation in model performance, as the model may not have seen such changes during training. It can…...

Dr. Siyu Huang Harvard University Tuesday, April 11, 2023 11:30AM – 12:30PM Zoom Abstract The real-world deployment of machine learning algorithms often poses challenges due to shifts in data distributions and tasks. These shifts can lead to a degradation in model performance, as the model may not have seen such changes during training. It can…...

Dr. Paria Rashidinejad Berkeley AI Research Lab Wednesday, March 22, 2023 11:00AM – 12:00PM Zoom Abstract Despite impressive success in domains such as vision and language, machine learning is still far from reliable integration into many challenging real-world scenarios, such as healthcare, where the coverage of existing data and the ability to collect new, diverse…...

Dr. Ser Nam Lim Facebook AI Thursday, March 9, 2023 11:00AM – 12:00PM Zoom Abstract In this talk, I will focus on three of our most recent works with one having been published in CVPR2023 and two at ECCV2022. In all these works, our focus is on AI technologies that will actually work in the…...

Dr. Omar Javed Twitch (an Amazon company) Friday, October 14, 2022 3:00PM – 4:00PM HEC 101 Abstract Twitch is a premier live social video platform with millions of unique streamers and tens of millions of daily viewers (who watched 1.3 trillion minutes of content in 2021). Recommendations are a major means of connecting viewers to…...

Wellness, Education, AI, and Lifestyle Technology in Health Friday, October 14, 2022, 9am-6pm leAD Sports & Health Tech Accelerator, Lake Nona Please join us for the first annual UCF WEALTH symposium to showcase Wellness, Education, AI, and Lifestyle Technology in Health (WEALTH) innovations being developed in our budding Lake Nona Medical City. Our UCF College…...