Hall K - Hall and day program - SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

`SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)`

Last modified: 2026-07-16 06:38:20

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- A-L: Bldg. K
  - A: 1F K108
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  - C: 1F K109
  - D: 1F K103
  - E: 1F K110
  - F: 2F K203
  - G: 2F K210
  - H: 2F K211
  - I: 3F K313
  - J: 3F K305
  - K: 3F K314
  - L: 3F K306
- M,N: Bldg. L
  - M: 1F L101
  - N: 2F L201
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Hall and day program : Hall K

The chairs are under negotiation.
Yellow-backs on Technical sessions denote the Hybrid sessions.
(All other sessions are on-site only sessions).

Hall K(K3F K314)

Hall K, Day 1 | Hall K, Day 2 | Hall K, Day 3
SY-69 | SY-65 | SY-82 | SY-66

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Hall K(K3F K314), Day 1(Sep. 14)
SY-69 [Symposium of Division of Biochemical Engineering] Advances and Frontiers in Biochemical Engineering Studies based on Information Technologies
(10:00–10:40)
10:00– 10:20	K104	Improving the Accuracy of Microbial Culture Models Through Parameter Commonization Using Heteroculture Condition Data (Hitachi) *(Reg)Sano Yuko, Takeya Tomoyuki, Aikoh Kazuhide, Ito Kiyoto	Parameter Estimation Culture model Heterologous culture conditions	SY-69	185
10:20– 10:40	K105	Analysis of the membrane anchoring mechanism of the bacterial adhesin AtaA using all-atom molecular dynamics simulations (Nagoya U.) *(Reg)Sasahara Jun, (Reg)Yoshimoto Shogo, Suzuki Atsuo, (Reg)Hori Katsutoshi	Molecular dynamics simulation Protein mechanics	SY-69	373
(10:40–11:00)
10:40– 11:00	K106	AI-based metabolic flux estimation from isotope labeling experimental data (U. Osaka) Miyagawa Take, (Reg)Imada Tatsumi, (Reg)Shimizu Hiroshi, *(Reg)Toya Yoshihiro	Metabolic engineering Metabolic flux analysis 13C labeling	SY-69	819
SY-65 [Symposium of Division of Systems, Information and Simulation Technologies] Process Systems Engineering Approach for Constructing Human Well-being Systems
(13:00–15:40)
13:00– 13:40	K113	[Invited lecture] Development of a Human-in-the-Loop Parameter Optimization Method with an Implicit Objective Function for SEEG Seizure Onset Estimation Algorithms (NAIST/Nagoya U.) Hamasaki Hajime	SEEG Human-in-the-Loop Implicit objective function	SY-65	380
13:40– 14:00	K115	Development of Intersubject Connectivity Extraction via Cross-attention Transformers (Hokkaido U.) *(Reg)Fujiwara Koichi, (Nagoya U.) Esaki Soma, (NCNP) Hashimoto Ryota, (Nagoya U.) Kushima Itaru, Miyata Seiko, Ozaki Norio	Electroencephalography Functional connectivity Transformer	SY-65	506
14:00– 14:20	K116	Development of a Machine Learning-Based Anomaly Detection Model for Intraoperative Motor Evoked Potentials in Spine and Spinal Cord Surgery (Nagoya U.) *(Stu)Date Shumpei, (Nagoya U./NAIST/Hokkaido U.) (Reg)Fujiwara Koichi, (Nagoya U.) Segi Naoki, Nakajima Hiroaki, Ito Sadayuki, Ouchida Jun, Yamauchi Ippei, Imagama Shiro	Motor evoked potentials Anomaly detection Machine learning	SY-65	525
14:20– 14:40	K117	Assessment of Autonomic Dysfunction in Patients with Isolated REM Sleep Behavior Disorder Using Resting Heart Rate Variability (Hokkaido U.) *(Reg)Saeda Shota, (Hokkaido U./NAIST) (Reg)Fujiwara Koichi, (Tokyo Medical U./Yoyogi Sleep Disorder Center) Sumi Yukiyoshi, (SUMS) Kadotani Hiroshi	Isolated REM sleep behavior disorder Heart Rate Variability Autonomic nervous system function assessment	SY-65	696
14:40– 15:00		Break
15:00– 15:40	K119	[Invited lecture] Expectations for a Process Systems Engineering Approach in Dementia Care (Fujita Health U.) Kobayashi Ryota	Dementia Clinical PSE	SY-65	378
(15:40–16:40)
15:40– 16:00	K121	Meta-learning Analysis Using Brain MRI Data for Dementia-related Diseases (Nagoya U.) *(Stu)Fujii Kazuhiro, (Fujita Health U.) Kobayashi Ryota, (Nagoya U.) (Reg)Matsuda Keigo	Meta-Learning Dementia-related Diseases Machine-Learning	SY-65	25
16:00– 16:20	K122	Evaluation of brain regions contributing to the estimation of Alzheimer's disease progression indicators using MRI analysis (Nagoya U.) *(Stu)Sekiya Takumi, (Fujita Health U.) Kobayashi Ryota, (Nagoya U.) (Reg)Matsuda Keigo	Alzheimer's disease MRI image Attribution analysis	SY-65	61
16:20– 16:40	K123	Dynamic Analysis of Olfactory Reaction Networks Using Continuous-Discrete Hybrid Models (Science Tokyo) *(Stu)Kuramochi A., (Stu)Shibutani A., (Chulalongkorn U.) (Int)Wijakmatee T., (Science Tokyo) (Reg)Matsumoto H.	Olfactory Gillespie algorithm Stochastic reaction network	SY-65	836
Hall K(K3F K314), Day 2(Sep. 15)
SY-82 [Symposium of Division of Systems, Information and Simulation Technologies] Recent Research and Development of Process Systems Engineering
(9:00–10:00)
9:00– 9:20	K201	Proposal for a Value Chain Architecture with CPS Resilience (Fukuoka U.) *(Reg·PCE)Xia J., (JNIOSH) (Reg)Shimada Y., (TUAT) (Reg)Kitajima T.	Value Chain Independent Protection Layer Distributed Networked Automation	SY-82	27
9:20– 9:40	K202	Defect Diagnosis of Spatial Process Data Using Causal Discovery for Warpage in Injection Molding (MCC Adv. Moldings/Nagoya U.) *(Reg)Tanaka Ryosuke, (Nagoya U./Hokkaido U./NAIST) (Reg)Fujiwara Koichi	Defect diagnosis Causal discovery Injection molding	SY-82	890
9:40– 10:00	K203	Advancing Model Entry Points in Biotherapeutic Processes: An Industrial Perspective (Takeda Pharmaceutical) *(Cor)Shirahata Haruku, (Cor)Nickel David, (Cor)Huang Zhuangrong, (Cor)Romederfinger Stefan, (Cor)Kaminagayoshi Takashi	in silico modeling process modeling biotherapeutics	SY-82	161
(10:00–11:00)
10:00– 10:20	K204	Scale-up analysis of flow synthesis for drug substances using Stevens oxidation (U. Tokyo) *(Stu·PCEF)Yayabe Shunsei, (Reg)Kim Junu, (Reg)Hayashi Yusuke, (Shionogi Pharma) (Cor)Okamoto Kazuya, (Cor)Shibukawa Keisuke, (Reg)Nakanishi Hayao, (U. Tokyo) (Reg)Sugiyama Hirokazu	Liquid-liquid reaction Flow chemistry Scale-up	SY-82	601
10:20– 10:40	K205	A computer-aided screening of cryoprotective agents for stem cells incorporating an intracellular solution viscosity model (UTokyo) *(Stu)Tamaki Rei, (Stu)Kimura Akihiro, (Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu	Cryopreservation Manufacturing Hybrid modeling	SY-82	173
10:40– 11:00	K206	Variability assessment of cell cultivation processes for monoclonal antibody production using hierarchical Bayesian estimation (U. Tokyo) *(Stu)Nemoto Kosuke, (Reg)Suzuki Kensuke, (Reg)Yoshiyama Yuki, (Chitose Lab.) Morisasa Mizuki, Iwabuchi Junshin, (U. Tokyo) (Int)Badr Sara, (Reg)Hayashi Yusuke, (Reg)Sugiyama Hirokazu	Sensitivity analysis Operational design Biopharmaceuticals	SY-82	476
(11:00–12:00)
11:00– 11:20	K207	Mechanistic modeling coupled with CFD for predictive bioprocess scale-up (Auxilart) *(Reg)Kim Junu, Lee Jiwon, Han Minwoo	Compartment model Spatial heterogeneity Biologics	SY-82	113
11:20– 11:40	K208	Molecular generation using graph representations to lower reorganization energy of organic semiconductors near the boundary of applicability domain of machine learning model (Meiji U.) *(Stu)Uchibori Yuta, (Panasonic Ind.) Matsuzawa Nobuyuki, Maeshima Hiroyuki, Ando Tatsuhito, (Meiji U.) (Reg)Kaneko Hiromasa	Machine learning Generative adversarial networks Organic semiconductor	SY-82	99
11:40– 12:00	K209	Prediction of Transport Properties for Unseen Molecular Structures and Extrapolative Conditions Using Physics-Guided Machine Learning (Shizuoka U.) (Reg)Murakami Yuya	Transport property Physics-informed machine learning Extrapolation prediction	SY-82	700
(13:00–14:00)
13:00– 13:20	K213	Mechanism of Negative Transfer under Target Non-Identifiability in Frustratingly Easy Domain Adaptation with Linear Regression (Kyoto U.) *(Stu·PCEF)Kobayashi Yuki, (TUAT) (Reg)Kim Sanghong, (Kyoto U.) (Reg)Kano Manabu	Transfer learning Negative transfer Machine learning	SY-82	446
13:20– 13:40	K214	Design of polymeric palladium catalysts for solid-state Suzuki-Miyaura type cross-coupling reactions using optimization methods (Meiji U.) *(Stu)Tsunemi Takuto, (Riken CSRS) Zhang Zhenzhong, Yamada Yoichi, (Meiji U.) (Reg)Kaneko Hiromasa	Machine learning Suzuki-Miyaura cross coupling Pd catalyst	SY-82	198
13:40– 14:00	K215	Accelerating Fluid Simulations with PINN by Combining Pre-Trained Subdomain Models (Kyoto U.) *(Stu)Akashi N., (Reg)Tonomura O., (Reg)Sotowa K.-I.	PINN Transfer learning Fluid simulation	SY-82	75
(14:00–15:00)
14:00– 14:20	K216	Kinetic analysis via gradient experiments using an IoT modular automated experiment system (Kyoto U.) *(Stu·PCEF)Shibazaki Haruki, (Stu)Yoshioka Kazuki, (Reg)Tonomura Osamu, (Reg)Sotowa Ken-Ichiro	Gradient Experiment Kinetic Analysis Automated Experiment	SY-82	532
14:20– 14:40	K217	Autonomous Process Synthesis using Reinforcement Learning Integrated with Role-Oriented Ontology (Kyoto U.) *(Stu)Ikarashi H., (Reg)Tonomura O., (Reg)Sotowa K.-I.	Reinforcement learning Process flowsheet synthesis Process ontology	SY-82	779
14:40– 15:00	K218	Data Collection for Process Identification that Maximizes the Performance of Model Predictive Control (TU Ilmenau) *(Reg·PCEF)Oshima Masanori, (TUAT) (Reg·APCE)Kim Sanghong, (TU Ilmenau) Shardt Yuri	model predictive control process identification identification for control	SY-82	141
(15:00–16:00)
15:00– 15:20	K219	Integrated Automation of Plot Plan Design and Piping 3D Design through Collaboration between Auto Plot PATHFINDER and PlantStream (JGC) *(Cor)Yamada Yoshinori, (Cor)Aizawa Keisuke, (Cor)Koito Hiroyuki, (Cor)Miyashita Toshikazu, (Arent) Kamiya Hisashi, Oda Takeshi	Plot plan Piping Design automation	SY-82	643
15:20– 15:40	K220	Toward Process Optimization via LLM-Driven Sequential Superstructure Updating (Tohoku U.) *(Stu)Fukushima Kazuki, (Reg)Yagihara Koki, (Reg)Ohno Hajime, (Reg)Fukushima Yasuhiro	Optimization LLM Superstructure	SY-82	423
15:40– 16:00	K221	Solvent Selection based on Multi-objective Evaluation of Reaction and Separation Performance: Application to Amidation (AIST) *(Reg)Yamaki Takehiro, (Reg)Yusniyanti Febi, (Reg)Kataoka Sho	Solvent selection Multi-objective optimization Conceptual process design	SY-82	708
Hall K(K3F K314), Day 3(Sep. 16)
SY-66 [Symposium of Division of Systems, Information and Simulation Technologies] 25th Process Design Contest for Students
(9:00–12:00)
9:00– 9:10	K301	25th Process Design Contest for Students (Kyoto U.) (Reg)Sotowa Ken-Ichiro	Process Design Chemical Plant Methanol	SY-66	970
9:10– 12:00		(Student presentations)
12:00– 14:00		Break
(14:00–16:00)
14:00– 14:30		Remarks (Science Tokyo) (Reg)Fuchino Tetsuo
14:30– 15:30		Discussion
15:30– 16:00		Awards ceremony

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SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

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