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List of received applications (By symposium/topics code)

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SY) SCEJ Division Symposium

SY-82. [Symposium of Division of Systems, Information and Simulation Technologies] Recent Research and Development of Process Systems Engineering

Organizer(s): Kim Sanghong (TUAT), Kato Shota (Kyoyo Univ./AIST)

There is a need to develop systematic methodologies for rational decision making in chemical plant design, control, planning, operation, diagnosis, and maintenance, consistent with the ever-increasing sophistication, automation, and informatization of chemical plants. This symposium aims to provide an opportunity for active discussion of recent research and technology in the field of process systems engineering.

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*This session is eligible for the SIS Section Award.

Most recent update: 2026-06-27 21:03:02

The keywords that frequently used
in this topics code.
KeywordsNumber
Machine learning3*
Transfer learning2
Operational design1

ACKN
No.
Title/Author(s)KeywordsStyle
27Proposal 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
O
75Accelerating 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
O
99Molecular 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
O
113Mechanistic modeling coupled with CFD for predictive bioprocess scale-up
(Auxilart) *(Reg)Kim Junu, Lee Jiwon, Han Minwoo
Compartment model
Spatial heterogeneity
Biologics
O
141Data 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
O
161Advancing 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
O
173A 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
O
198Design 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
O
423Toward 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
O
446Mechanism 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
O
476Variability 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
O
532Kinetic 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
O
601Scale-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
O
643Integrated 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
O
700Prediction 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
O
708Solvent 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
O
779Autonomous 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
O
890Defect 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
O

List of received applications (By topics code)

List of received applications
SCEJ 57th Autumn Meeting (Higashihiroshima, 2026)

Organizing Committee of SCEJ 57th Annual Meeting (2026)
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