Generative AI meets Vector databases and RAG techniques
일시 : 2024년 9월 20일 (금) 오후 2시
Dr. Min-Soo Kim
소속
- Professor at School of Computing, KAIST
약력
- (Current) Professor at School of Computing, KAIST
- (Current) Co-Founder and CEO of GraphAI Co. Ltd.
- (Current) Vice President, Office of Academic Information, KAIST
- (Former) Director of Research Center for Extreme Exploitation of Dark Data, ERC, NRF, Korea
- (Former) Professor at Electrical Engineering and Computer Science, DGIST
- (Former) Postdoctoral Research Staff, IBM Almaden Research Center, USA
Query optimization in cloud database, and Graph neural networks: techniques and benchmarks
일시 : 2024년 10월 25일 (금) 오전 10시
Makoto Onizuka
소속
Graduate School of Information Science and Technology, Osaka University
약력
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Makoto Onizuka is a Professor at Graduate School of Information Science and Technology, Osaka University. He is the leader of Big data engineering Laboratory and conducts research on graph mining algorithms and AI-driven database query optimization techniques. Prior to joining Osaka University, he worked at Nippon Telegraph and Telephone Corporation (NTT) for more than 20 years being served as a distinguished technical member from 2010 to 2014. He also worked as a visiting scholar at the University of Washington from 2000 to 2001.
He developed research prototype systems and some of them were used in production: LiteObject (object-relational main memory database system), XMLToolkit (XML stream engine), CBoC type2 (Common IT Bases over Cloud Computing at NTT), and Grapon (Graph mining techniques).
He serves as Director at the database society of Japan (2024-present), Information Processing Society of Japan (2019-2021), Academic committee at Shonan meeting (2016-present), PC co-chair at DASFAA 2024 and KJDB 2024, Publicity co-chair at MIPR 2021, Workshop co-chair at VLDB 2020, Best demonstration award committee at VLDB 2024 and DASFAA 2010, Best paper award committee at DASFAA 2012, and program committee at international conferences, including VLDB(2009-2010 industrial track, 2024 demonstration track), SIGMOD(2018, 2020), ICDE(2015 industrial track, 2023 demonstration track), AAAI(2021-2025), NeurIPS(2022-2025), ICLR(2024), IJCAI(2023-2024), ICML(2023-2024), ECML(2022, 2024), CIKM(2017-2018,2020-2023), DASFAA(2010-2016,2020-2023).
Privacy in the Age of AI and Large Language Models
일시 : 2024년 11월 22일 (금) 오전 10시
Professor Li Xiong
소속
Samuel Candler Professor of Computer Science and Biomedical Informatics, Emory University
약력
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Li Xiong is a Samuel Candler Professor of Computer Science and Biomedical Informatics at Emory University. She has a Ph.D. from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from the University of Science and Technology of China. Her research lab, Assured Information Management and Sharing (AIMS), conducts research on trustworthy and privacy-enhancing data-driven AI solutions for healthcare, public health, and spatial intelligence. She is recognized as an IEEE fellow for her contributions on privacy-preserving and secure data sharing and analytics. She has published over 200 papers and received six best paper or runner up awards. She has served and serves as associate editor for TKDE, TDSC, VLDBJ, general or program chair for SIGSPATIAL, CIKM, BigData, and program vice chair for SIGMOD, VLDB, and ICDE. Her research has been supported by both governments (NSF, NIH, IARPA, AFOSR) and industry/foundations (Mistubishi, Cisco, AT&T, Google, IBM). More details are at http://www. cs.emory.edu/~lxiong.
Under the Ground, Over the Oceans, and through the Space: Exploring the World with Imaging Beyond the Visible Spectrum.
일시 : 2024년 12월 13일 (금) 오후 4시
Professor Seniha Esen Yuksel
소속
Department of Electrical and Electronics Engineering, Hacettepe University
약력
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Dr. Seniha Esen Yuksel received her Ph.D. degree from the University of Florida, Department of Computer Information, Science and Engineering, USA in 2011. Currently, she is an associate professor at Hacettepe University, Department of Electrical and Electronics Engineering. She also serves as the director of the Pattern Recognition and Remote Sensing Laboratory (PARRSLAB), where her research focuses on machine learning and computer vision utilizing sensors that extend beyond the visible spectrum, such as hyperspectral, radar, X-ray, thermal, SAR, and LiDAR. Dr. Yuksel is recognized as an IEEE Senior member and has been honored with the BAGEP Outstanding Young Scientist Award by the Science Academy. She has contributed to the scientific community by authoring or coauthoring over 100 articles published in peer-reviewed journals and conferences.
