2nd NAIST International Symposium on Data Science

October 14 (Friday), 2022 at NAIST

Discuss with experts the latest trends on Data Science to boost your research (without having to become a machine learning expert).

Free registration (Registration closed)

About Event

We all have in common the need to exploit data to make new discoveries, improve performance and to push the state of the art. This Symposium gathers top researchers with a solid experience on how to boost research using Data Science without having to be an expert in machine learning. We also seek to develop new networks, research groups and collaborations. Join us in this event and get in the game!

0+

Fields

0+

Attendees

0+

Nationalities

0+

Speakers

Schedule

14 Oct, 2022

9 : 00 - 9 : 20 AM

Registration

9 : 20 - 9 : 30 AM

Opening Speech

By Kazuhiro Shiozaki (NAIST President)

9 : 30 - 9 : 40 AM

Opening Remarks

By Altaf-Ul-Amin

9 : 45 - 10 : 20 AM

Robust Pose-Based Multi-view Gait Recognition using Recurrent Neural Network

By Hossen Asiful Mustafa

10 : 20 - 10 : 55 AM

Generation and Characterization of Motor Neuron Progenitors and Motor Neurons Using Metachromatic Leukodystrophy-Induced Pluripotent Stem Cells

By Mohammad Arif Hossain

10 : 55 - 11 : 30 AM

Electronic-Structure Informatics: Development and Challenges

By Manabu Sugimoto

11 : 30 - 1 : 00 PM

Lunch Break

1 : 00 - 1 : 35 PM

Optical sensor-based smart eyewear for facial expression recognition

By Katsutoshi Masai

1 : 35 - 2 : 10 PM

Emotion dynamics sensing using a wearable facial EMG device

By Wataru Sato

2 : 10 - 2 : 45 PM

Inferring Mental States from Emotion Expressions and Social Decision Making

By Kazunori Terada

2 : 45 - 3 : 00 PM

Coffee Break

3 : 00 - 3 : 35 PM

Neuromorphic Systems using Novel Memdevices

By Mutsumi Kimura

3 : 35 - 4 : 10 PM

Wafer-Level Variation Modeling for Efficient LSI Testing

By Michihiro Shintani

4 : 10 - 4 : 45 PM

Robotics Technologies and their Benchmarking at International Robotics Competitions

By Gustavo Garcia

4 : 45 - 5 : 00 PM

Closing Remarks

By Altaf-Ul-Amin

Our Speakers

Hossen Asiful Mustafa

Hossen Asiful Mustafa
Bangladesh University of Engineering and Technology (BUET)

Robust Pose-Based Multi-view Gait Recognition using Recurrent Neural Network
Abstract
Mohammad Arif Hossain

Mohammad Arif Hossain
JCR Pharmaceuticals Ltd.

Generation and Characterization of Motor Neuron Progenitors and Motor Neurons Using Metachromatic Leukodystrophy-Induced Pluripotent Stem Cells
Abstract
Manabu Sugimoto

Manabu Sugimoto
Kumamoto University

Electronic-Structure Informatics: Development and Challenges
Abstract
Katsutoshi Masai

Katsutoshi Masai
NTT Communication Science Laboratories; Keio University

Optical sensor-based smart eyewear for facial expression recognition
Abstract
Wataru Sato

Wataru Sato
RIKEN

Emotion dynamics sensing using a wearable facial EMG device
Abstract
Kazunori Terada

Kazunori Terada
Gifu University

Inferring Mental States from Emotion Expressions and Social Decision Making
Abstract
Mutsumi Kimura

Mutsumi Kimura
Ryukoku University

Neuromorphic Systems using Novel Memdevices
Abstract
Michihiro Shintani

Michihiro Shintani
Kyoto Institute of Technology

Wafer-Level Variation Modeling for Efficient LSI Testing
Abstract
Gustavo Garcia

Gustavo Garcia
Ritsumeikan University

Robotics Technologies and their Benchmarking at International Robotics Competitions
Abstract

Our Committee

General Chair

Assoc. Prof. Md. Altaf-Ul-Amin

General Co-chairs

Assoc. Prof. Renyuan Zhang

Assist. Prof. Mazen Soufi

Program Co-chairs

Assist. Prof. Monica Perusquia-Hernandez

Assist. Prof. Swarit Jasial

Assist. Prof. Yirong Kan

Assist. Prof. Wan Jou (Lavender) She

Assist. Prof. Na Chen

Assist. Prof. Md Delwar Hossain

Assist. Prof. Bodin Chinthanet

Finance Chair

Prof. Shoji Kasahara

Contact Info

Address

8916-5 Takayama, Ikoma, Nara 630-0192 JAPAN

Email

Assoc. Prof. Md. Altaf-Ul-Amin

Assoc. Prof. Md. Altaf-Ul-Amin

Access Map & Campus Map

Go to Kenshu Hall located in the Interdisciplinary Frontier Research Complex No. 2 (see Campus Map)