Embedded Files
Poster Session Venue :
Science Complex A, Tohoku University, Room 205. Click here for Google Map
Day 1
August 7 (Mon)
08:30 - 09:00
╙ Reception
08:30 - 09:00
╙ Reception
09:00 - 09:10
│ Opening Remark
09:00 - 09:10
│ Opening Remark
09:10 - 09:20
│ Welcoming Remark
09:10 - 09:20
│ Welcoming Remark
09:30 - 10:00
│ Twist Decoding: Diverse Generators
│ Guide Each Other
╙ Keisuke SAKAGUCHI Associate Professor
09:30 - 10:00
│ Twist Decoding: Diverse Generators
│ Guide Each Other
╙ Keisuke SAKAGUCHI Associate Professor
10:00 - 10:30
│ Graph-based Deep Learning for PV
│ Performance Degradation Analysis
╙ Yinghui WU Associate Professor
10:00 - 10:30
│ Graph-based Deep Learning for PV
│ Performance Degradation Analysis
╙ Yinghui WU Associate Professor
10:30 - 11:00
│ Accelerating medical data
│ sharing and collaborative
│ research with privacy protection
10:30 - 11:00
│ Accelerating medical data
│ sharing and collaborative
│ research with privacy protection
╙ Erman AYDAY Associate Professor
11:00 - 11:20
│ Efficient Pause Location
│ Prediction using Quantum Annealing
│ Simulations and Machine Learning
╙ Erman AYDAY Associate Professor
11:00 - 11:20
│ Efficient Pause Location
│ Prediction using Quantum Annealing
│ Simulations and Machine Learning
╙ Michael ZIELEWSKI PhD Student
11:20 - 11:50
│ Study Protocols and FAIRification
│ for Materials Data Science
╙ Michael ZIELEWSKI PhD Student
11:20 - 11:50
│ Study Protocols and FAIRification
│ for Materials Data Science
11:50 - 12:10
│ Variable selection and prediction
│ for geographically weighted
│ regression
11:50 - 12:10
│ Variable selection and prediction
│ for geographically weighted
│ regression
12:10 - 13:00
╙ Lunch Break
12:10 - 13:00
╙ Lunch Break
13:00 - 17:45
║ Session 2: Biology, Chemical
║ Biology, and
║ Bioinformatics
╙ Chair: Takehiko Wada Professor
13:00 - 17:45
║ Session 2: Biology, Chemical
║ Biology, and
║ Bioinformatics
╙ Chair: Takehiko Wada Professor
13:00 - 13:45
│ K E Y N O T E L E C T U R E
│ Harnessing the Power of Information
│ Sciences in Prospective Cohorts:
│ Progress and Prospects in the Tohoku
│ Medical Megabank Project
13:00 - 13:45
│ K E Y N O T E L E C T U R E
│ Harnessing the Power of Information
│ Sciences in Prospective Cohorts:
│ Progress and Prospects in the Tohoku
│ Medical Megabank Project
╙ Kengo KINOSHITA Professor
13:45 - 14:15
│ Enhancing network biology
│ algorithms to rigorously
│ illuminate understudied proteins
╙ Kengo KINOSHITA Professor
13:45 - 14:15
│ Enhancing network biology
│ algorithms to rigorously
│ illuminate understudied proteins
14:15 - 14:45
│ Towards creation of a bacterial
│ genome with uracil as fourth base
14:15 - 14:45
│ Towards creation of a bacterial
│ genome with uracil as fourth base
╙ Anthony POOLE Professor
14:45 - 15:15
│ 3D movies of structural changes in
│ proteins captured by X-ray free
│ electron lasers
╙ Anthony POOLE Professor
14:45 - 15:15
│ 3D movies of structural changes in
│ proteins captured by X-ray free
│ electron lasers
15:30 - 16:15
│ K E Y N O T E L E C T U R E
│ Killing cancer cells by suicidal
│ bombing attack with neutrophil
│ extracellular traps
15:30 - 16:15
│ K E Y N O T E L E C T U R E
│ Killing cancer cells by suicidal
│ bombing attack with neutrophil
│ extracellular traps
16:15 - 16:45
│ Evolutionary trajectory of
│ the Legume-Rhizobia symbiosis
16:15 - 16:45
│ Evolutionary trajectory of
│ the Legume-Rhizobia symbiosis
16:45 - 17:15
│ Development and Applications of
│ Histidine Hydrogen-deuterium Exchange
│ Mass Spectrometry
16:45 - 17:15
│ Development and Applications of
│ Histidine Hydrogen-deuterium Exchange
│ Mass Spectrometry
17:15 - 17:45
│ Using Machine Learning to Predict
│ Unintended Drug-Implant Interactions
17:15 - 17:45
│ Using Machine Learning to Predict
│ Unintended Drug-Implant Interactions
---
NAME IN BLUE: Presenter from Case Western Reserve University
NAME IN PURPLE: Presenter from Tohoku University
NAME IN CYAN: Presenter from University of Auckland
Day 2
August 8 (Tue)
08:30 - 09:00
╙ Reception
08:30 - 09:00
╙ Reception
09:00 - 09:45
│ K E Y N O T E L E C T U R E
│ Accelerating Time to Science using
│ CRADLE, Cyberinfrastructure for
│ Materials Data Science
09:00 - 09:45
│ K E Y N O T E L E C T U R E
│ Accelerating Time to Science using
│ CRADLE, Cyberinfrastructure for
│ Materials Data Science
09:45 - 10:15
│ Crystal growth behavior of AlN on
│ Al-containing binary solutions using
│ electromagnetic levitation
│ and computer vision technique
09:45 - 10:15
│ Crystal growth behavior of AlN on
│ Al-containing binary solutions using
│ electromagnetic levitation
│ and computer vision technique
10:15 - 10:45
│ Material structure analysis
│ based on machine learning
10:15 - 10:45
│ Material structure analysis
│ based on machine learning
╙ Motoki SHIGA Professor
10:45 - 11:15
│ Advanced Characterization and
│ Multimodal Data Analysis in
│ the Photovoltaics Sector
╙ Motoki SHIGA Professor
10:45 - 11:15
│ Advanced Characterization and
│ Multimodal Data Analysis in
│ the Photovoltaics Sector
╙ Kristopher DAVIS Associate Professor
11:15 - 11:45
│ Dynamic Control of Magnetic Nano-
│ particle Arrays by Surface Modification
│ with Liquid-Crystalline Dendron
╙ Kristopher DAVIS Associate Professor
11:15 - 11:45
│ Dynamic Control of Magnetic Nano-
│ particle Arrays by Surface Modification
│ with Liquid-Crystalline Dendron
14:45 - 15:05
│ An overview of geospatiotemporal
│ analytics, applications of satellite
│ imagery data to monitoring nutrient
│ flows through the environment
14:45 - 15:05
│ An overview of geospatiotemporal
│ analytics, applications of satellite
│ imagery data to monitoring nutrient
│ flows through the environment
╙ Erika BARCELOS Post-doct Scholar
15:05 - 15:25
│ Deep learning for multivariate
│ volatility forecasting in high-
│ dimensional financial time series
╙ Erika BARCELOS Post-doct Scholar
15:05 - 15:25
│ Deep learning for multivariate
│ volatility forecasting in high-
│ dimensional financial time series
15:25 - 15:45
│ Deep Learning Framework for the
│ Spatiotemporal Feature Extraction and
15:25 - 15:45
│ Deep Learning Framework for the
│ Spatiotemporal Feature Extraction and
│ Statistical Characterization of
│ Terabyte-Scale XCT Datasets
│ Statistical Characterization of
│ Terabyte-Scale XCT Datasets
╙ Thomas CIARDI PhD Student
15:45 - 16:15
│ Structure and functional analysis of
│ a protein from marine natural products
│ that activate cytokine receptors
╙ Thomas CIARDI PhD Student
15:45 - 16:15
│ Structure and functional analysis of
│ a protein from marine natural products
│ that activate cytokine receptors
╙ Yoshikazu TANAKA Associate Professor
16:15 - 16:35
│ Advanced Manufacturing applications in
│ Additive Manufacturing for Automated
│ In-situ and Ex-situ feature extraction
│ to predict defect formation
╙ Yoshikazu TANAKA Associate Professor
16:15 - 16:35
│ Advanced Manufacturing applications in
│ Additive Manufacturing for Automated
│ In-situ and Ex-situ feature extraction
│ to predict defect formation
16:35 - 16:55
│ Inspection of metabolome-GWAS
│ with pathway simulations
16:35 - 16:55
│ Inspection of metabolome-GWAS
│ with pathway simulations
╙ Shun KODATE Assistant Professor
16:55 - 17:15
│ CRADLE: A Distributed and High-
│ Performance Computing Framework
│ for Research
╙ Shun KODATE Assistant Professor
16:55 - 17:15
│ CRADLE: A Distributed and High-
│ Performance Computing Framework
│ for Research
---
NAME IN BLUE: Presenter from Case Western Reserve University
NAME IN PURPLE: Presenter from Tohoku University
Page updated
Google Sites
Report abuse