We are organizing a 1.5-day pre-conference workshop at FOPAM 2026 (Foundations of Process/Product Analytics and Machine Learning) in Decatur, GA on July 26–27, 2026. Foundations to Frontier: Machine Learning &...

Congratulations to DAIS Lab PhD student Liang Cao and co-authors for winning the Best Paper Award at the International Workshop on Trustworthy Multimodal Learning for Social Media Analysis (TML 2026),...

We are organizing a full-day pre-congress workshop at the IFAC World Congress 2026 in Busan, Republic of Korea on Sunday, August 23, 2026. LLMs and Agents for Process Industries: Foundations,...

We are delighted to congratulate Dr. Shuyuan Wang and Dr. Hashim Migaybil on successfully completing their PhD degrees! Dr. Shuyuan Wang focused on the intersection of reinforcement learning and control,...

Congratulations to DAIS Lab member Ahmed Abdalla who received 2nd Place in the CHBE 3-Minute Thesis (3MT) competition and will be advancing to the Western Canada 3MT competition.

We are happy to share that Dr. Liang Cao’s paper “Interpretable and Reliable Soft Sensor Development in Industry 5.0” has been awarded Second Prize at the 2024 IEEE/CAA JAS Conference...

The Timely and Extended Monitoring in Emergencies and Disasters (Tx MED) project, in partnership with Rogers, UBC Engineering, UBC Medicine and Vancouver Coastal Health, has been highlighted as an Innovation...

We are happy to share that Dr. Faye Hajiali is the recipient of the EDI.I Excellence Award at the 2024 BPI (BioProducts Institute) Research Day. Congratulations!

We are pleased to announce and celebrate these recent achievements by our group members: (1) Dr. Liang Cao graduated with a PhD and will join Prof. Richard Braatz’s group at...

We are pleased to announce that the UBC DAIS Lab has recently published its 100th journal article in Automatica. Congratulations Nathan and Shuyuan! Papers referenced in this news article: Journal...

Iman Jalilvand’s submission for the 2023 HCI International Student Design Competition, “An Interactive Digital Twin of a Composite Manufacturing Process for Training Operators via Immersive Technology”, has been selected by...

Congratulations to UBC DAIS Lab students and collaborators for their new papers in the IFAC World Congress 2023! Conference Proceedings Interpretable Soft Sensors using Extremely Randomized Trees and SHAP Liang...

The Process Control Department at the Burnaby Refinery is interested in exploring novel techniques for reducing manual labour and engineering time required for industrial control engineering tasks. The proposed research...

Lee Rippon’s PhD research on visualizing kiln shell temperatures and detecting ring growth has been commercialized by BlueMarvel in their new HeatSeeker product to help industry save energy and reduce...

Congratulations to DAIS undergraduate member Kene Ene for being selected as a 2022 Faculty of Applied Science Rising Star. https://apsc.ubc.ca/spotlight/student/kenechukwu-ene The stars of UBC Applied Science are people who are...

Congratulations to DAIS group member Ibrahim Yousef for receiving a Young Author Award for his 2022 DYCOPS paper: Visual Analytics: A New Paradigm for Process Monitoring

Congratulations to DAIS lab member Tobi Alabi for his latest paper in Renewable Energy (IF: 8.0). A review on the integrated optimization techniques and machine learning approaches for modeling, prediction,...

Congratulations to DAIS group members Daniel McClement and Seoun Kim for successfully completing their Masters research at UBC. Daniel successfully defended his MASc thesis on meta-reinforcement learning Seoun successfully defended...

Congratulations to DAIS group members Nathan Lawrence and Ibrahim Yousef. Nathan received the 2022 FIPSE Graduate Student Participation Award and a trip to Greece! Ibrahim Yousef is one of the...

Workshop Overview Lithium-ion batteries permeate our lives. They are used in a wide range of products from portable electronic gadgets to electric vehicles and large container ships. These batteries are...

Congratulations to Yixiu Wang for his paper that will appear in Nature Communications! Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

Congratulations to DAIS Lab members, Atefeh, Ibrahim and Jingyi for their new papers! DYCOPS 2022 Ibrahim’s paper on visual analytics has been accepted as a keynote presentation for DYCOPS 2022....

Congratulations to DAIS Lab members for their recently accepted papers! On Reinforcement Learning Nathan and Daniel’s paper on reinforcement learning for PID tuning, in collaboration with Honeywell, has been accepted...

Congratulations to Yiting, Lee and Ryan for their recently published papers. Identifying Indicator Species in Ecological Habitats using Deep Optimal Feature Learning (Tsai et al.) Visualization of Multiscale Ring Formation...

Lee Rippon receives the Best Student Paper Award for his talk on “Detection and Diagnosis of Ring Formation in Rotary Lime Kilns - Part I Developing a Ring Formation Indicator.”...

Congratulations to DAIS Lab MASc student Daniel McClement on receiving the NSERC CGS M scholarship! Well done, Daniel.

Congratulations to Lee and Ibrahim for their new paper on representation learning in Computers and Chemical Engineering! This work was done in collaboration with BBA Engineering Consultants and Sirish Shah...

Congratulations to Daniel, Nathan and Mari for their papers at IFAC ADCHEM 2021. Daniel and Nathan’s work on “A Meta-Reinforcement Learning Approach to Process Control” has been selected for a...

Qiugang’s final paper from his PhD work has been published in ISA Transactions. Congratulations! Model-Plant Mismatch Detection for Cross-directional Processes by Qiugang Lu, Michael G. Forbes, Philip D. Loewen, Johan...

Nathan’s paper on “Almost Surely Stable Deep Dynamics” has been accepted at NeurIPS 2020 and selected as a Spotlight session. Congratulations! At NeurIPS 2020, 385 papers out of 1900 were...

Lee Rippon receives a Best Presentation Award for his talk on “Process Analytics and Machine Learning to Predict Arc Loss in an Electric Arc Furnace” at the 3rd BC Universities...

Liang Cao’s paper has been accepted by Control Engineering Practice. Congratulations! Data-driven Dynamic Inferential Sensors Based on Causality Analysis by Liang Cao, Feng Yu, Fan Yang, Yankai Cao, R. Bhushan...

Hui Tian’s (PhD, ‘20) paper has been published in Computers & Chemical Engineering. Congratulations! A Tractable Approximation for Stochastic MPC and Application to Mechanical Pulping Processes by H Tian, J...

Qiugang Lu (PhD, ‘18), currently postdoc at Zavala Lab, UW-Madison, will begin a tenure track position at Texas Tech University in September 2020. Congratulations!

Our recent paper on RL, Toward self‐driving processes: A deep reinforcement learning approach to control - Spielberg et al. (2019), has been recognized as “among the top 10% most downloaded...

COVID-19 has disrupted our lives in unprecedented ways. Our research group is trying to estimate the extent of its prevalence in the society, quantify its infectiousness, model its spread and...

Yiting passed his candidacy exam with flying colors. Congratulations!

Nathan received the prestigious NSERC CGS D scholarship. He was ranked 5th among 107 applicants in his committee. This is a tremendous achievement. Congratulations, Nathan! We are proud of you....

Our new paper has been recently accepted in Industrial & Engineering Chemistry Research. A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy by Yi Luo, Bhushan Gopaluni,...

Hui successfully defended her PhD thesis today on Stochastic multi-objective economic model predictive control of two-stage high consistency mechanical pulping processes. Read more about her work here Congratulations!

Four of our papers were accepted for presentation at the 2020 IFAC World Congress. [1] Modern Machine Learning Tools for Monitoring and Control A Survey [2] Deep Neural Network Approximation...

Prof. Thornhill from Imperial College London visits UBC and delivers a CHBE Distinguished Speaker Seminar on Process Data Analytics. Members of the DAIS lab met Prof. Thornhill to share and...

Yi will be going back to the Beijing Institute of Chemical Technology. Best wishes!

Dr. Gopaluni and Dr. Verrett have been nominated as Applied Science OER champions for the development of open chemical engineering resources. Big thanks to DAIS members and students involved in...

Yiting’s paper on bioreactor performance prediction has been published in Processes. Congrats! MDPI Paper Link: https://www.mdpi.com/2227-9717/7/9/614

A project in collaboration with Dr. Piret and Dr. Levings on Bioprocess engineering for therapeutic T-cell manufacturing has received federal Collaborative Health Research Projects (CHRP) funding worth over $600k. See...

We are looking for a Post Doctoral Fellow to work on an exciting industrial project at the intersection of Control Theory and Machine Learning. For details see: NewPostDocResearchML.pdf Applications are...

DAIS Lab members set to present at ADCHEM 2018. For more information, visit the DAIS ADCHEM page. See workshop page: https://dais.chbe.ubc.ca/adchem/

Lee Rippon received the prestigious Killam Doctoral Scholarship. Congratulations!