BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20210525T135028Z UID:8BC29193-F024-4803-9E6A-8D44C27A70A2 DTSTART;TZID=Etc/GMT+7:20210506T080000 DTEND;TZID=Etc/GMT+7:20210510T170000 DESCRIPTION:The APNNS/IEEE-CIS Education Forum series on Deep Learning and Artificial Intelligence Summer School 2020 (DLAI5) is catered to all inter ested students\, engineers\, researchers\, executives and administrators w ho may have some basic knowledge of machine learning and AI. The aim is to provide a forum for interested delegates to learn about certain basics as well as advances in the field of deep learning and artificial intelligenc e. DLAI5 would also provide an opportunity for interactions and networking . With the successful inaugural DLAI back on Feb 1-4\, 2018\, the second e dition on Dec 10-13\, 2018\, the third edition on June 29 to July 3\, and the latest DLAI4 on November 18-22\, 2020\, we are pleased to be able to o ffer the 5th DLAI at this time. The venue is online due to the ongoing pan demic and it will be held from May 6-10\, 2021. DLAI5 will feature Keynote and Invited Speakers from IEEE Distinguished Lecturers\, ACM Distinguishe d Speakers\, and other notable speakers. In addition to Women in Science a nd Engineering (WISE) speakers\, DLAI5 is proud to introduce the Forum for Young Investigators (FYI) as there will be prominent young researchers sh aring their experiences with us.\n\nAs DLAI5 is a virtual event\, it is of fered free-of-charge to all registrants. All participants need to register online first. As there may be limited seating available as an online even t\, priorities will be given to APNNS Members\, IEEE-CIS Members\, IEEE Me mbers\, ACM Members\, and INNS Members.\n\nThe DLAI5 Summer School will co ver many aspects of deep learning with several talks by world renowned res earchers in form of lectures/tutorials/workshops and panel sessions which will cover some of the most active current topics in DL and AI and their a pplications. There are two NVIDIA Deep Learning Institute (DLI) certificat ion workshops\, and a hackathon will also be offered to provide a hands-on challenge for the participants.\n\nDLAI5 is organized by the Innovative C ognitive Computing (IC2) Research Center at School of Information Technolo gy (SIT)\, King Mongkut's University of Technology Thonburi (KMUTT) and co -organized by APNNS\, IEEE-CIS Thailand Chapter\, Joint Chapter of IEEE CI S/RAS Western Australia Chapter\, IEEE-SMC Western Australia Chapter\, IEE E-CIS Indonesia Chapter\, and various partner institutions\, with the late st being the Technology Innovation Hub at Indian Statistical Institue (TIH @ISI) and Jadavpur University\, India.\n\nCo-sponsored by: ACM\, NVIDIA\, Forth\, 3BB\, Cinmit\n\nSpeaker(s): Pau-Choo (Julia) Chung\, Saman Halgamu ge\n\nAgenda: \nDay1: Thursday\, May 6\, 2021\nDLAI5 Opening Remarks 7.50- 8 Welcome speech\nAcademic Keynote I 8-9 Kenji Doya-What can we further le arn from the brain for AI?\nACM Distinguished Speaker 9-10 Ka-Chun Wong-Di sruptive AI Technologies for Molecular Biology and Medicine\nNVIDIA DLI Wo rkshop I (Part I) 10.15-12.30 Jonathan H. Chan Fundamentals of Deep Learni ng\nPanel Session I 13-14.30 Chrisina Jayne\, Yew-Soon Ong\, Weizhi Meng-E xplainable and Ethical AI\nACM Distinguished Speaker II 14.30-15.30 Weizhi Meng-Securing Smart Devices with Behavioral User Authentication\nNVIDIA D LI Workshop I (Part II) 15.30-17 Jonathan H. Chan-Fundamentals of Deep Lea rning\n\nDay2: Friday\, May 7\, 2021\nAcademic Keynote II 8-9 Albert Zomay a-Lightweight Short-term Photovoltaic Power Prediction for Edge Computing\ nAcademic Talk 9-10 Vishnu Bodetti-Towards Learning Semantically Controlla ble Representations\nNVIDIA DLI Workshop II (Part I) 10-12.30 Jonathan H. Chan-Deep Learning for Healthcare Image Analysis\nAcademic Talk 12-14 Chee Seng Chan-DeepIPR-Protecting Intellectual Property of Deep Learning Model s\nNVIDIA DLI Workshop II (Part II) 14-15.30 Jonathan H. Chan-Deep Learnin g for Healthcare Image Analysis\nHackathon Session I 15.30-17 Paul Pang-CD MC2021-Towards Secure\, Explainable and Trustworthy Artificial Intelligenc e + Jonathan H. Chan-Hackathon\n\nDay3: Saturday\, May 8\, 2021\nWISE Keyn ote 8-9 Deepa Kundur-Analytics-Driven Cyber-Physical Security for a Conver ged Smart Grid\nIEEE-CIS Distinguished Lecturer Talk I 9-10 Pau-Choo (Juli a) Chung-Gait and Balance Analysis for the Elderly Using an Inertial-Senso r-Based Wearable Device\nWISE Industry Talk 10-11 Yingxue Zhang-Bayesian G raph Neural Networks and its application in recommendation system\nWISE Ac ademic Talk 11-12 Claire Chewapreecha-Dissecting the genetic basis of Meli oidosis Infection\nFYI Academic Talk 13-14 Haiqin Yang-Towards building em phathetic chatbots\nFYI Industry Talk 14-15 Tanut Karnwai-Imbalanced credi t card fraud detection via using deep neural network\nFYI Academic Talk 15 -16 Wittawat Jitkrittum-Interpretable Comparison of Deep Generative Models \nHackathon 16-17\n\nDay4: Sunday\, May 9\, 2021\nIEEE-CIS Distinguished L ecturer Talk II 8-9 Saman Halgamuge-Democratisation of Deep Learning: Self Growing Neural Network Architectures\nFYI Academic Talk 9-10 Worrawat Eng chuan-Deep learning in genetic study of ASD\nFYI Academic Talk 10-11 Rajar shi Pal-AI for handwritten document forensic\nHackathon 11-12\nWISE Academ ic Talk 13-14 Guanjin (Brenda) Wang-Solving real-world data challenges usi ng machine learning\nWISE Academic Talk 14-15 Sansanee Auephanwiriyakul-Fu zzy Pattern Recognition in Data Analysis\nWISE Academic Talk 15-16 Shirley Siu-Targeted Anticancer Peptides Discovery: Machine Learning and Molecula r Study\nWISE Academic Talk 16-17 Annalisa Occhipinti-Healthcare and AI: P romising Applications for Cancer Prediction\n\nDay5: Monday\, May 10\, 202 1\nJSCI10 Keynote I 8-9 Sung-Bae Cho-Exploiting Latent Space of Deep Learn ing for Practical Applications\nPanel Session II 9-10.15 Sung-Bae Cho\, As hish Ghosh\, Jonathan Chan-AI for COVID-19\nJSCI10 Industry Talk 10.15-11 Monchai Lertsutthiwong-Global challenge for AI in business transformation\ nHackathon 11-12\nJSCI10 Keynote II 13-14 Claudio Angione-Deep learning ap proaches to predict the cell metabolic phenotype\nJSCI10 Student Session 1 4-15.30\nHackathon+Wrap up 15.45-17\n\nVirtual: https://events.vtools.ieee .org/m/272827 LOCATION:Virtual: https://events.vtools.ieee.org/m/272827 ORGANIZER:jonathan@sit.kmutt.ac.th SEQUENCE:6 SUMMARY:The 5th Deep Learning and Artificial Intelligence Summer School 202 1 (DLAI5) URL;VALUE=URI:https://events.vtools.ieee.org/m/272827 X-ALT-DESC:Description: <br /><h4 class="about-school-detail indent justify ">The APNNS/IEEE-CIS Education Forum series on Deep Learning and Artificia l Intelligence Summer School 2020 (DLAI5) is catered to all interested stu dents\, engineers\, researchers\, executives and administrators who may ha ve some basic knowledge of machine learning and AI. The aim is to provide a forum for interested delegates to learn about certain basics as well as advances in the field of deep learning and artificial intelligence. DLAI5 would also provide an opportunity for interactions and networking. With th e successful inaugural DLAI back on Feb 1-4\, 2018\, the second edition on Dec 10-13\, 2018\, the third edition on June 29 to July 3\, and the lates t DLAI4 on November 18-22\, 2020\, we are pleased to be able to offer the 5th DLAI at this time. The venue is online due to the ongoing pandemic and it will be held from May 6-10\, 2021. DLAI5 will feature Keynote and Invi ted Speakers from IEEE Distinguished Lecturers\, ACM Distinguished Speaker s\, and other notable speakers. In addition to Women in Science and Engine ering (WISE) speakers\, DLAI5 is proud to introduce the Forum for Young In vestigators (FYI) as there will be prominent young researchers sharing the ir experiences with us. <br /><br />As DLAI5 is a virtual event\, it is of fered free-of-charge to all registrants. All participants need to register online first. As there may be limited seating available as an online even t\, priorities will be given to APNNS Members\, IEEE-CIS Members\, IEEE Me mbers\, ACM Members\, and INNS Members. <br /><br />The DLAI5 Summer Schoo l will cover many aspects of deep learning with several talks by world ren owned researchers in form of lectures/tutorials/workshops and panel sessio ns which will cover some of the most active current topics in DL and AI an d their applications. There are two NVIDIA Deep Learning Institute (DLI) c ertification workshops\, and a hackathon will also be offered to provide a hands-on challenge for the participants. <br /><br />DLAI5 is organized b y the Innovative Cognitive Computing (IC2) Research Center at School of In formation Technology (SIT)\, King Mongkut's University of Technology Thonb uri (KMUTT) and co-organized by APNNS\, IEEE-CIS Thailand Chapter\, Joint Chapter of IEEE CIS/RAS Western Australia Chapter\, IEEE-SMC Western Austr alia Chapter\, IEEE-CIS Indonesia Chapter\, and various partner institutio ns\, with the latest being the Technology Innovation Hub at Indian Statist ical Institue (TIH@ISI) and Jadavpur University\, India.</h4><br /><br />A genda: <br /><p>Day1: Thursday\, May 6\, 2021<br />DLAI5 Opening Remarks 7 .50-8 Welcome speech<br />Academic Keynote I 8-9 Kenji Doya-What can we fu rther learn from the brain for AI?<br />ACM Distinguished Speaker 9-10 Ka- Chun Wong-Disruptive AI Technologies for Molecular Biology and Medicine<br />NVIDIA DLI Workshop I (Part I) 10.15-12.30 Jonathan H. Chan Fundamental s of Deep Learning<br />Panel Session I 13-14.30 Chrisina Jayne\, Yew-Soon Ong\, Weizhi Meng-Explainable and Ethical AI<br />ACM Distinguished Speak er II 14.30-15.30 Weizhi Meng-Securing Smart Devices with Behavioral User Authentication<br />NVIDIA DLI Workshop I (Part II) 15.30-17 Jonathan H. C han-Fundamentals of Deep Learning</p>\n<p>Day2: Friday\, May 7\, 2021<br / >Academic Keynote II 8-9 Albert Zomaya-Lightweight Short-term Photovoltaic Power Prediction for Edge Computing<br />Academic Talk 9-10 Vishnu Bodett i-Towards Learning Semantically Controllable Representations<br />NVIDIA D LI Workshop II (Part I) 10-12.30 Jonathan H. Chan-Deep Learning for Health care Image Analysis<br />Academic Talk 12-14 Chee Seng Chan-DeepIPR-Protec ting Intellectual Property of Deep Learning Models<br />NVIDIA DLI Worksho p II (Part II) 14-15.30 Jonathan H. Chan-Deep Learning for Healthcare Imag e Analysis<br />Hackathon Session I 15.30-17 Paul Pang-CDMC2021-Towards Se cure\, Explainable and Trustworthy Artificial Intelligence + Jonathan H. C han-Hackathon</p>\n<p>Day3: Saturday\, May 8\, 2021<br />WISE Keynote 8-9 Deepa Kundur-Analytics-Driven Cyber-Physical Security for a Converged Smar t Grid<br />IEEE-CIS Distinguished Lecturer Talk I 9-10 Pau-Choo (Julia) C hung-Gait and Balance Analysis for the Elderly Using an Inertial-Sensor-Ba sed Wearable Device<br />WISE Industry Talk 10-11 Yingxue Zhang-Bayesian G raph Neural Networks and its application in recommendation system<br />WIS E Academic Talk 11-12 Claire Chewapreecha-Dissecting the genetic basis of Melioidosis Infection<br />FYI Academic Talk 13-14 Haiqin Yang-Towards bui lding emphathetic chatbots<br />FYI Industry Talk 14-15 Tanut Karnwai-Imba lanced credit card fraud detection via using deep neural network<br />FYI Academic Talk 15-16 &nbsp\; &nbsp\;Wittawat Jitkrittum-Interpretable Compa rison of Deep Generative Models<br />Hackathon 16-17</p>\n<p>Day4: Sunday\ , May 9\, 2021<br />IEEE-CIS Distinguished Lecturer Talk II &nbsp\; &nbsp\ ;8-9 Saman Halgamuge-Democratisation of Deep Learning: Self Growing Neural Network Architectures<br />FYI Academic Talk 9-10 Worrawat Engchuan-Deep learning in genetic study of ASD<br />FYI Academic Talk 10-11 Rajarshi Pal -AI for handwritten document forensic<br />Hackathon 11-12<br />WISE Acade mic Talk 13-14 Guanjin (Brenda) Wang-Solving real-world data challenges us ing machine learning<br />WISE Academic Talk 14-15 Sansanee Auephanwiriyak ul-Fuzzy Pattern Recognition in Data Analysis<br />WISE Academic Talk 15-1 6 Shirley Siu-Targeted Anticancer Peptides Discovery: Machine Learning and Molecular Study<br />WISE Academic Talk 16-17 Annalisa Occhipinti-Healthc are and AI: Promising Applications for Cancer Prediction</p>\n<p>Day5: Mon day\, May 10\, 2021<br />JSCI10 Keynote I 8-9 Sung-Bae Cho-Exploiting Late nt Space of Deep Learning for Practical Applications<br />Panel Session II 9-10.15 Sung-Bae Cho\, Ashish Ghosh\, Jonathan Chan-AI for COVID-19<br /> JSCI10 Industry Talk 10.15-11 Monchai Lertsutthiwong-Global challenge for AI in business transformation<br />Hackathon 11-12 &nbsp\; &nbsp\;<br />JS CI10 Keynote II 13-14 Claudio Angione-Deep learning approaches to predict the cell metabolic phenotype<br />JSCI10 Student Session 14-15.30 &nbsp\; &nbsp\;<br />Hackathon+Wrap up 15.45-17</p> END:VEVENT END:VCALENDAR