News

May, 2025, Gift's paper on domain adaptation for Lithium-ion battery health prediction has been accepted by the Journal of Energy Storage. Congratulations!

February 2025, Congratulations to Gift for the receiving the Poster Presentation Award in the WCOE Research Day! 

January 2025, Myisha has two papers accepted by the 2025 American Control Conference. Congratulations! 

November 2024, Dr. Lu received the Whitacre Engineering Research Award.

October 2024, Gift received the AIChE Travel Grant. Congratulations! 

September 2024, Congratulations to Myisha for her paper being accepted by the AIChE Journal!! This paper presents a safe deep reinforcement learning method for optimizing the battery fast-charging protocols that are adaptive to environment changes. [link]

August 2024, our group has received the TTU Internal Funding STEM Research Assistance Program to support the research on reinforcement learning. 

August 2024, Gift has been awarded the travel grant for 2024 Modeling, Estimation and Control Conference that will be held in October at Chicago. Good job and congratulations! 

July 2024, Congratulations to Myisha for being selected as a finalist of the CAST Director's Student Presentation Award at the 2024 AIChE Annual Meeting that will be held in October in San Diego. 

June, 2024, Gift's paper on transformer-based battery capacity prediction has been accepted by the 2024  Modeling, Estimation, and Control Conference that will be held on Oct. 28-30, 2024 at Chicago. Congratulations! 

April, 2024, Dr. Lu received the Professing Excellence Award from Texas Tech. 

January 2024, Dr. Lu received the NSF Career Award. The project will be focused on the next-generation battery management systems for battery cells and packs for EVs. We are looking for highly motivated PhD students on this project. 

December 2023, Dr. Lu will teach the course CHE 5330 Machine Learning in Spring 2024. The courses materials will be posted online. 

November 2023, Lu attended the AIChE Annual Meeting at Orlando, FL, to represent the group. 

September 2023, Gift has successfully passed the qualifying exam and become a Ph.D. candidate. Congratulations! 

August 2023, Congratulations to Hetiv for her new position as a semiconductor Process Engineer at Micron Technology, Inc.! 

August 2023, Congratulations to Myisha for her paper being accepted by Computers and Chemical Engineering! Good job!

August 2023, Hetvi has graduated with a Master's degree, Congratulations! 

July 2023, Lu attended the FOPAM conference at UC Davis and gave a poster on EMTD3 method based on Myisha's work. 

May 2023, Congratulations to Saif for getting his paper accepted by the Computers and Chemical Engineering! Great work! 

March 2023, Congratulations to Gift for receiving the prestigious Preston and Ima Smith Graduate Fellowship! Good job! 

March 2023, Congratulations to Saif for receiving the 2023 American Control Conference Travel Grant! Great job! 

January 2023, Congratulations to Saif and Myisha for both of their papers being accepted by 2023 American Control Conference that will be held May 31-June 2 in San Diego, California. Great job! 

January 2023, Lu and Saif attended the FOCAPO/CPC 2023 Conference at San Antonio, TX. Saif gave a talk on "Enhanced CNN with Global Features for Fault Diagnosis of Complex Chemical Processes".

November 2022, Lu and Myisha attended the AIChE Annual Meeting at Phoenix, AZ and gave two talks representing our group. 

November 2022, Gift Modekwe has joined the group as a Ph.D. student. Welcome to SCA Lab!!

October 2022, Myisha proposed a novel entropy-maximizing TD3 reinforcement learning method for PID auto-tuning. Check this paper at [link].

October 2022, Combining MLP with CNN can directly capture global features and enhance CNN performance. See Dr. Lu and Saif's work. [link]

October 2022, How to enable CNN to directly capture both global and local features? Check out latest findings by Saif! [link]

August 2022, Ph.D. students Myisha and Saif have successfully passed the qualifying exam and become PhD candidates. Congratulations!!

July 2022, undergraduate student Thu Hieu Anh Phan ("Anh") joins the group as an undergrad researcher. She will be working on modeling and control of lithium-ion batteries. Welcome to the group, Anh! 

June 2022, Dr. Lu gave a talk at AIChE Advanced Manufacturing and Processing Conference at Bethesda, Maryland, on "Reinforcement learning-based PID auto-tuning with stability preservation". 

May 2022, Master student Samuel Abiola (from Computer Science, co-advise with Dr. Victor Sheng) joins the group. Welcome!

May 2022, Ayub Lakhani has received the Master's degree in Chemical Engineering. Congratulations!! 

February 2022, The paper by Ayub Lakhani and Myisha Chowdhury on "Stability-preserving automatic tuning of PID control with reinforcement learning " has been accepted for publication by Complex Engineering Systems [link]. Great work! Congratulations to Ayub and Myisha!

December 2021, Myisha Chowdhury and Saif AI-Wahaibi join the group as Ph.D. students. Welcome to the team!!

September 2021, Master student Hetvi Patel joins the group. Welcome! 

August 2021, Dr. Lu's paper collaborated with Leo Gonzalez (UW-Madison), Dr. Ranjeet Kumar (The Dow Chemical), and Prof. Victor Zavala (UW-Madison) on "Bayesian optimization with reference models: A case study in MPC for HVAC central plants" has been accepted by Computers & Chemical Engineering. [link]

June 2021, Dr. Lu's paper collaborated with Prof. Victor Zavala from UW-Madison on "Image-Based Model Predictive Control via Dynamic Mode Decomposition" has been accepted for publication in Journal of Process Control [link]. 

January 2021, Master students Ayub Lakhani, John Patterson, and Ferdous Ferhan joined the group. Welcome!

November 2020, Dr. Lu gave a talk on "Data-Driven Control Via Dynamic-Mode Decomposition" at the 2020 Virtual AIChE Annual Meeting. 

September 2020, Dr. Lu joins the Department of Chemical Engineering at Texas Tech University.