Lab Retreat 2026: Mathematical ModelingーMethods and Applications
Date: August 7 (Fri) - 8 (Sat), 2026
Venue: Nara Prefectural Convention Center
Address: 1-691-1 Sanjo-oji, Nara City, Nara 630-8013, Japan
(10-minute walk from Kintetsu Shin-Omiya Station)
Meeting Room: Room 203 (2F)
URL: https://www.nara-cc.jp/english/index.html
Purpose: Share our knowledge and exchange our ideas within/outside of our laboratories.
Organizers: Mathematical Informatics Lab @ NAIST-IS, Data-Driven Biology Lab @ NAIST-BS, Biomedical Data Science @ Fujita Health U
Sponsors: JSPS-KAKENHI, NAIST-KU-Toyota Mobility Project
Summary:
Some give a tutorial lecture on a topic related to his/her research.
Each of the other attendees gives a lecture presentation on his/her own research.
If you are assigned to one of the poster sessions, please prepare your poster in B1 size.
Every student is required to submit a report on your/others' presentation to the supervisor after the lab retreat.
Time Table:
[Aug 7]
13:00 opening (Kazushi Ikeda @ MI)
13:15-14:55 oral session 1 (20 min x 5)
Hideki Hayashi (MI): Inventory-Informed Log-Gaussian Cox Processes for Censored Demand Recovery in Bike-Sharing Systems
Yassin Terki (D2B, Bio.): Estimation of the estrus cycle with deep learning methods
Meena Anandan (MI): Mental Stress Detection from Electrocardiography Signals using Nonlinear Metrics
Fumiko Higae (MI): An Instrument-Strength-Aware Two-Sample Mendelian-Randomization Sensitivity: Framework for Exerkine-Neurodegeneration Hypotheses on Public Data
Yuki Ura (MI): Estimating the Alignment of a Group of Objects in an Image using Persistent Homology
15:00-15:15 flash talks for poster session 1 (1 min for each)
15:30-17:30 poster session 1
Sara Koiso (MI): Automatic Detection of Fasciculations in Muscles with Ultrasound Image Sequences
Minato Uemura (MI): Computational Modeling of Emotion Concept Formation and Sharing in Response to Auditory Stimuli
Runa Harada (MI): Discrimination of one’s own brain activity during motor imagery
Tokihisa Honda (MI): Spectral Time-Series Representations for Transformer-based Cross-Subject EEG Affect Recognition
Raturi Himanshu (MI): Identity-Consistent Crowd Tracking via Transformer-Based Cross-Modal Fusion
Natsuna Ishida (D2B, Bio.): Anomaly Detection in Canine EEG Signals Using CEBRA Embeddings
Koki Kanaka (D2B, Bio.): Deciphering the process of epigenetic memory collapse in Phc1-deficient neural stem cells using AlphaGenome-based in silico analysis
Shogo Tsujii (D2B, Bio): Pilot Study on the Quantification of Exhaled Components Using Semiconductor Gas Sensors
Ryota Okitsu (D2B, Bio.): Atrial Fibrillation Prediction Using Real-World Data from Handheld ECG Devices
Lisna Hidayati (D2B, Bio.): Predicting Single-Cell Movement from ERK Activity and Cell Density using Machine Learning during Wound Healing
Aaron Cid Ramirez (Data Science Group, FHU): Designing a Puzzle Flow experiment to capture noise, error and adaptability
Haruna Tagawa (Data Science Group, FHU): Integrative Analysis of the Structural Basis and Diffusion Dynamics of Nucleus Accumbens Dopamine Transmission in Cocaine Addiction
18:00-20:30 symposium
Venue: Room 205・206 (2F)
18:00-18:20 Opening greetings, etc.
18:20-18:40 Invited talk
Speaker: Junichiro Yoshimoto
Title: All roads lead to “Mathematical Models” - My Research Journey Shaped by NAIST -
18:40-20:20 Free Discussion
20:20-20:25 Closing
[Aug 8]
9:30-11:30 oral session 2 (20 min x 6)
Kotaro Hironaka (MI): Functional Diversity of Local Field Potentials in the Dorsal Premotor and Lateral Prefrontal Cortices of Macaques During Action Planning
Kotaro Nishimura (MI): Late Robust Reweighting for 3D Gaussian Splatting under Image Corruption
Mohiuddin Saifullah (D2b, Bio.): Hidden Dataset Sanitization Reshapes Representation Learning, Feature Memorization, and Reliability of Convolutional Networks in Brain Tumor Dataset
Igor Zavialov (MI): Stability in Financial System: Identifying Upcoming Crisis with DMD dynamics
Thuwiba Qais Abdalla Ibrahim (MI): Modeling Decision Making Under Uncertainty Across Obsessive Compulsive Symptom Dimensions Using the Free Energy Principle and Stochastic Optimal Control
Guest
11:30-11:45 flash talks for poster session 2 (1 min for each)
13:30-15:30 poster session 2
Misaki Ihara (MI): Expertise Extraction in Peach Thinning via Gaze Analysis and Construction of a Mathematical Model
Kotaro Kawasaki (MI): Quantifying Cumulative Head Damage in Boxers Based on Pose Estimation
Midori Osaki (MI): Gait Disorder Screening in Cats Using DeepLabCut and CEBRA
Suzuka Higashitsutsumi (MI): Deciphering Latent Cardiac Dynamics Using Identifiable Representation Learning: Towards Risk Assessment of Drug-Induced Convulsions in Non-Human Primates
Fuka Uenaka (MI): Latent Structure Reconstruction with CEBRA Using PCA-Derived Auxiliary Variables
Tatsuyoshi Nakanishi (D2B, Bio.): Simulating Kupffer’s Vesicle Flow Regulation in Heart Left–Right Positioning
Juri Toyoda (D2B, Bio.): Extraction of Microtubule-Dependent Molecular Activity Patterns that Regulate Localized Cell Deformation
Masahiro Kamata (D2B, Bio.): Analysis of Young-Onset Stroke Using Medical Claims and Health Screening Data
Haruto Ikeda (D2B, Bio.): Data-Driven Derivation of Nonequilibrium Energy Balance in Cell Dynamics
Kosuke Arai (D2B, Bio.): Modeling fermentation decline in sake mash
So Machida (D2B, Bio.): Stress Assessment Based on Exhaled Components Using Semiconductor Sensors
Shane Antoinette Atienza Arante (Data Science Group, FHU): A Spatial Transcriptomics Pipeline for Cell-Type-Specific Profiling of Cocaine-Induced Gene Expression
Nishat Tasnim Newaz (Data Science Group, FHU): Privacy Conscious Non-Contact Sleep Monitoring through Thermal Pattern Acquisition with Low Resolution Infrared Sensor Array
Note:
Link to past lab retreats