ML@GT Lab presents LAB LIGHTNING TALKS 2020

AlRegib, Ghassan; Chau, Duen Horng; Chava, Sudheer; Cohen, Morris B.; Davenport, Mark A.; Desai, Deven; Dovrolis, Constantine; Essa, Irfan; Gupta, Swati; Huo, Xiaoming; Kira, Zsolt; Li, Jing; Maguluri, Siva Theja; Pananjady, Ashwin; Prakash, B. Aditya; Riedl, Mark O.; Romberg, Justin; Xie, Yao; Zhang, Xiuwei

Title:

ML@GT Lab presents LAB LIGHTNING TALKS 2020

dc.contributor.author	AlRegib, Ghassan
dc.contributor.author	Chau, Duen Horng
dc.contributor.author	Chava, Sudheer
dc.contributor.author	Cohen, Morris B.
dc.contributor.author	Davenport, Mark A.
dc.contributor.author	Desai, Deven
dc.contributor.author	Dovrolis, Constantine
dc.contributor.author	Essa, Irfan
dc.contributor.author	Gupta, Swati
dc.contributor.author	Huo, Xiaoming
dc.contributor.author	Kira, Zsolt
dc.contributor.author	Li, Jing
dc.contributor.author	Maguluri, Siva Theja
dc.contributor.author	Pananjady, Ashwin
dc.contributor.author	Prakash, B. Aditya
dc.contributor.author	Riedl, Mark O.
dc.contributor.author	Romberg, Justin
dc.contributor.author	Xie, Yao
dc.contributor.author	Zhang, Xiuwei
dc.contributor.corporatename	Georgia Institute of Technology. Machine Learning	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Computational Science and Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Computer Science	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Electrical and Computer Engineering	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Interactive Computing	en_US
dc.contributor.corporatename	Georgia Institute of Technology. School of Industrial and Systems Engineering	en_US
dc.date.accessioned	2020-12-10T18:53:45Z
dc.date.available	2020-12-10T18:53:45Z
dc.date.issued	2020-12-04
dc.description	Presented online on December 4, 2020 at 2:00 p.m.	en_US
dc.description	Professor Ghassan AlRegib is currently a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. He is the director of the Multimedia and Sensors Lab (MSL) at Georgia Tech.	en_US
dc.description	Duen Horng (Polo) Chau is an Associate Professor of Computing at Georgia Tech. He is the Machine Learning Area Leader of the college. And He co-directs Georgia Tech's MS Analytics program. His research bridges data mining and human-computer interaction (HCI) to create scalable interactive tools for making sense of massive datasets and solving real world problems.	en_US
dc.description	Sudheer Chava is the Alton M. Costley Chair and a professor of finance in the Scheller College of Business at Georgia Tech. His research research interests are in credit risk, banking, empirical asset pricing and corporate finance.	en_US
dc.description	Morris B. Cohen is an Associate Professor in Electrical and Computer Engineering at Georgia Tech. His scientific interests include low-frequency radio wave generation, propagation and remote sensing, including applications to lightning characterization, ionospheric physics, space weather and space plasma physics. He also studies novel methods for efficient broadband electrically short antennas, and imaging through electric conductors.	en_US
dc.description	Mark A. Davenport is an Associate Professor with the School of Electrical and Computer Engineering, Georgia Institute of Technology. His primary area of research concerns the fundamental role that low-dimensional models and optimization play in signal processing, statistical inference, and machine learning. Prof. Davenport is a recipient of the National Science Foundation CAREER award, the Air Force Office of Scientific Research Young Investigator award, and a Sloan Research Fellowship.	en_US
dc.description	Deven Desai is faculty in the Scheller College of Business Law and Ethics Program at the Georgia Institute of Technology. He was also the first, and to date, only academic research counsel at Google, Inc., and a visiting Fellow at Princeton University's Center for Information Technology Policy. Desai's scholarship examines how business interests, new technology, and economic theories shape privacy and intellectual property law and where those arguments explain productivity or where they fail to capture society's interest in the free flow of information and development.	en_US
dc.description	Constantine Dovrolis is a Professor at the School of Computer Science of the Georgia Institute of Technology. His current research focuses on cross-disciplinary applications of network analysis and data mining in neuroscience and biology. He has also worked on the evolution of the Internet, Internet economics, and on applications of network measurement.	en_US
dc.description	Irfan Essa is a Distinguished Professor in the School of Interactive Computing (iC) and a Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology (GA Tech), in Atlanta, Georgia, USA. He is serving as the Inaugural Executive Director of the new Interdisciplinary Research Center for Machine Learning at Georgia Tech (ML@GT).	en_US
dc.description	Dr. Swati Gupta is a Fouts Family Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Gupta's research interests lie primarily in combinatorial, convex, and robust optimization with applications in online learning and data-driven decision-making under partial information. Her work focuses on speeding up fundamental bottlenecks that arise in learning problems due to the combinatorial nature of the decisions, as well as drawing from machine learning to improve traditional optimization methods.	en_US
dc.description	Xiaoming Huo is an A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited.	en_US
dc.description	Dr. Zsolt Kira is an Assistant Professor at the Georgia Institute of Technology, branch chief of the Machine Learning and Analytics group at the Georgia Tech Research Institute (GTRI), and Associate Director of Georgia Tech’s Machine Learning Center. His work lies at the intersection of machine learning and artificial intelligence for sensor processing, perception, and robotics, emphasizing the fusion of multiple sources of information for scene understanding.	en_US
dc.description	Jing Li is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Li’s research develops statistical machine learning algorithms for modeling and inference of medical image data, and fusion of images, genomics, and clinical records for personalized and precision medicine. Her research outcomes support clinical decision making for diagnosis, prognosis, and telemedicine for various conditions affecting the brain, such as brain cancer, post-traumatic headache & migraine, traumatic brain injury, and the Alzheimer’s disease.	en_US
dc.description	Dr. Siva Theja Maguluri is a Fouts Family Early Career Professor and Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Maguluri's research interests are broadly in Applied Probability and Optimization, and include fundamental problems in Queueing Theory, Stochastic Optimization, Distributed Optimization, Reinforcement Learning and Game Theory. He also uses these tools to work on applied problems including Scheduling, Resource Allocation and Revenue Optimization in a variety of systems including Data Centers, Cloud Computing, Wireless Networks, Block Chains, Ride hailing systems etc.	en_US
dc.description	Ashwin Pananjady is an Assistant Professor at Georgia Tech with a joint appointment between the H. Milton Stewart School of Industrial and Systems Engineering and the School of Electrical and Computer Engineering. His research interests lie broadly in statistics, optimization, and information theory, as well as their applications in data science, machine learning, and reinforcement learning. He is particularly interested in statistical and computational problems arising from high-dimensional data with geometric structure.	en_US
dc.description	B. Aditya Prakash is an Associate Professor in the College of Computing at the Georgia Institute of Technology (“Georgia Tech”). His research interests include Data Science, Machine Learning and AI, with emphasis on big-data problems in large real-world networks and time-series, with applications to epidemiology, health, urban computing, security and the Web.	en_US
dc.description	Mark Riedl is an associate professor in the College of Computing, School of Interactive Computing. As director of the Entertainment Intelligence Lab, Dr. Riedl's research focuses on the study of artificial intelligence and storytelling for entertainment (e.g., computer games). Narrative is a cognitive tool used by humans for communication, sense-making, entertainment, education, and training. Consequently, there is value in discovering new computational techniques that make computers better communicators, entertainers, and educators. The principle research question Dr. Riedl addresses through his research is: how can intelligent computational systems reason about and autonomously create engaging experiences for users of virtual worlds and computer games?	en_US
dc.description	Dr. Justin Romberg (Moderator) is the Schlumberger Professor and the Associate Chair for Research in the School of Electrical and Computer Engineering and the Associate Director for the Center for Machine Learning at Georgia Tech. His research interests lie on the intersection of signal processing, machine learning, optimization, and applied probability.	en_US
dc.description	Yao Xie is the Harold R. and Mary Anne Nash Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests are in sequential statistical methods, statistical signal processing, big data analysis, compressed sensing, optimization, and has been involved in applications to wireless communications, sensor networks, medical and astronomical imaging.	en_US
dc.description	Xiuwei Zhang is an Assistant Professor at the School of Computational Science and Engineering, College of Computing, Georgia Institute of Technology. My research group works on applying machine learning and optimization skills in method development and data analysis for single-cell RNA-Seq data and other types of data on single cell level. The goal is to study cellular mechanisms during differentiation, development of cells and disease progression.	en_US
dc.description	Runtime: 74:19 minutes	en_US
dc.description.abstract	Labs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to interested graduate students, Georgia Tech faculty, and members of the public. Participating labs include: Yao’s Group - Yao Xie, H. Milton Stewart School of Industrial Systems and Engineering (ISyE); Huo Lab - Xiaoming Huo, ISyE; LF Radio Lab – Morris Cohen, School of Electrical Computing and Engineering (ECE); Polo Club of Data Science – Polo Chau, CSE; Network Science – Constantine Dovrolis, School of Computer Science; CLAWS – Srijan Kumar, CSE; Control, Optimization, Algorithms, and Randomness (COAR) Lab – Siva Theja Maguluri, ISyE; Entertainment Intelligence Lab and Human Centered AI Lab – Mark Riedl, IC; Social and Language Technologies (SALT) Lab – Diyi Yang, IC; FATHOM Research Group – Swati Gupta, ISyE; Zhang's CompBio Lab – Xiuwei Zhang, CSE; Statistical Machine Learning - Ashwin Pananjady, ISyE and ECE; AdityaLab - B. Aditya Prakash, CSE; OLIVES - Ghassan AlRegib, ECE; Robotics Perception and Learning (RIPL) – Zsolt Kira, IC; Eye-Team - Irfan Essa, IC; and Mark Davenport, ECE.	en_US
dc.format.extent	74:19 minutes
dc.identifier.uri	http://hdl.handle.net/1853/63955
dc.language.iso	en_US	en_US
dc.relation.ispartofseries	Machine Learning @ Georgia Tech (ML@GT) Seminar Series
dc.subject	Antenna	en_US
dc.subject	Artificial intelligence (AI)	en_US
dc.subject	Computational ophthalmology	en_US
dc.subject	Data science	en_US
dc.subject	Healthcare	en_US
dc.subject	Imaging	en_US
dc.subject	Ionosphere	en_US
dc.subject	Machine learning	en_US
dc.subject	Natural language processing (NLP)	en_US
dc.subject	Neuro-inspired AI	en_US
dc.subject	Optimization	en_US
dc.subject	Quantum	en_US
dc.subject	Reinforcement learning	en_US
dc.subject	Robotics	en_US
dc.subject	Signal processing	en_US
dc.subject	Space	en_US
dc.subject	Storytelling	en_US
dc.subject	Visualization	en_US
dc.title	ML@GT Lab presents LAB LIGHTNING TALKS 2020	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.author	Chava, Sudheer
local.contributor.author	Davenport, Mark A.
local.contributor.author	Xie, Yao
local.contributor.author	Romberg, Justin
local.contributor.author	Dovrolis, Constantine
local.contributor.author	Riedl, Mark O.
local.contributor.author	AlRegib, Ghassan
local.contributor.author	Essa, Irfan
local.contributor.author	Maguluri, Siva Theja
local.contributor.author	Cohen, Morris B.
local.contributor.author	Huo, Xiaoming
local.contributor.author	Li, Jing
local.contributor.author	Chau, Duen Horng
local.contributor.author	Kira, Zsolt
local.contributor.author	Prakash, B. Aditya
local.contributor.corporatename	Machine Learning Center
local.contributor.corporatename	College of Computing
local.relation.ispartofseries	ML@GT Seminar Series
relation.isAuthorOfPublication	0bc48883-302e-4d18-b8f5-10b3bbf2f981
relation.isAuthorOfPublication	1162b098-768c-4269-839c-db771101c01b
relation.isAuthorOfPublication	20cfdbe0-2d70-482e-87aa-50177fd83b1e
relation.isAuthorOfPublication	23ff0d70-23a6-4f87-bde3-5f3427d03dfe
relation.isAuthorOfPublication	501c1bfb-e253-4317-a021-560761118771
relation.isAuthorOfPublication	6512b353-3315-4dd1-9f47-7aaef3e19300
relation.isAuthorOfPublication	7942fed2-1bb6-41b8-80fd-4134f6c15d8f
relation.isAuthorOfPublication	84ae0044-6f5b-4733-8388-4f6427a0f817
relation.isAuthorOfPublication	bfce942b-ca6d-475b-8a0d-48e06a3134df
relation.isAuthorOfPublication	cbbe3a9a-e409-439e-bb9f-dc199934e71a
relation.isAuthorOfPublication	e04d5ccf-23db-4c60-a862-62d4602af9da
relation.isAuthorOfPublication	e7e5d854-27c3-4006-b55f-4032255cae72
relation.isAuthorOfPublication	fb5e00ae-9fb7-475d-8eac-50c48a46ea23
relation.isAuthorOfPublication	7d182893-486b-4570-87b4-0c4ba0c10626
relation.isAuthorOfPublication	57972f4b-f6d1-4c73-9262-35af3c7ba7c7
relation.isOrgUnitOfPublication	46450b94-7ae8-4849-a910-5ae38611c691
relation.isOrgUnitOfPublication	c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication	9fb2e77c-08ff-46d7-b903-747cf7406244