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- Invited Speaker: HUYNH MANH KHANG (Georgia Institute of Technology, USA)
- Date & Time: 12nd December 2024, 2024, 09:00 - 11:00.
- Title: Optimization of Controlled Sweeping Processes and Neural Networks
- Room: Room 7.1 Administration Building, Linh Trung Campus.
- Abstract: We give a high-level overview of the theory of differential equations, starting from Picard's theorem, leading to applications to Navier-Stokes, and we then discuss possible ideas about the undecidability of blow-ups.
This talk will be accessible for first-year undergrads.
After the seminar, Dr. Huynh Manh Khang will take a few minutes to share his learning journey, from being an undergraduate honors student to achieving his postdoctoral accomplishments.
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As alumni of the University of Science, VNU-HCM, the management of Onemind Solution is eager to support the university by providing students with internship opportunities, exposing them to real-world work environments, and enhancing their professional skills for post-graduation success.
Internship Details
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Content:
Interns will undertake assigned projects and participate in real-world company initiatives, including:- Designing, configuring, and deploying wired and wireless network systems and server room equipment.
- Applying IT operational standards for corporations, enterprises, and hotels.
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Eligibility:
- Final-year students recommended by their department/university.
- Students conducting projects on computer networks or ICT/ELV systems.
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Duration:
- Each term lasts 3–6 months, depending on the assigned project.
- Each term accommodates 5 students.
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Location:
- 11, Street 2, Cư xá Đô Thành, Ward 4, District 3, Ho Chi Minh City.
Requirements for Applicants
- Must be a student of the University of Science, VNU-HCM.
- Possess an official recommendation letter from the university's Student Affairs Office.
- Demonstrate honesty, diligence, and a high sense of responsibility.
- Exhibit a strong desire to learn and improve.
- Have teamwork and independent working skills.
- Comply with administrative and operational regulations of the company during the internship.
Benefits for Interns
- Access to the latest devices and technologies in light current systems and system integration.
- Guided support from company staff and certification of project completion or internship completion upon conclusion.
- Monthly financial support of 1,000,000 VND for travel and living expenses.
- Opportunity to become a full-time employee at Onemind Solution if performance is excellent.
Contact Information:
Onemind Solution Co., Ltd.
- Human Resources Contact: Mr. Lê Chí Dũng
- Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
- Phone: 0908 724990
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- Invited Speaker: NGUYEN - TRUC - DAO NGUYEN (Department of Mathematics and Statistics, San Diego State University, San Diego, USA)
- Date & Time: 12nd December 2024, 2024, 09:00 - 11:00.
- Title: Optimization of Controlled Sweeping Processes and Neural Networks
- Room: F2017, Nguyen Van Cu Campus.
- Abstract: This presentation focuses on applying the discrete approximation method to establish necessary optimality conditions in an optimization problem for fully controlled constrained sweeping processes. Additionally, we explore its applications in various practical dynamical models. The first model deals with the dynamics of mobile robots navigating obstacles, while the second pertains to model predictive control utilizing neural networks.
- Organizer: NGUYEN DANG KHOA, LY KIM HA (Vietnam National University – Ho Chi Minh City, University of Science).
After the seminar, Prof. Nguyen Truc Dao Nguyen also gives an introduction about San Diego State University and some scholarships at SDSU.
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Professor Jialiang Li, from the Department of Statistics and Data Science and the Duke-NUS Graduate Medical School at the National University of Singapore, is a renowned researcher specializing in threshold models, structural equation modeling, personalized and diagnostic medicine, model averaging, data smoothing, statistical machine learning, and survival analysis. An elected member of the International Statistical Institute (ISI) and a fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), he has received accolades such as Singapore's Research Talent Award. Professor Li has published extensively in leading journals and serves as an editor for esteemed publications like the Annals of Applied Statistics, Biometrics, and the Annual Review of Statistics and Its Application.
Seminar Details:
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- Title: Robust Model Averaging Prediction of Longitudinal Response with Ultrahigh-dimensional Covariate
- Speaker: Professor Dr. Jialiang Li
- Time: 02:00 PM, Saturday, December 12nd, 2024.
- Venue: Room C.41, University of Science, VNU-HCM.
(227 Nguyen Van Cu Street, Ward 4, District 5, Ho Chi Minh City)
Abstract:
Model averaging is an attractive ensemble technique to construct fast and accurate prediction. Despite of having been widely practiced in cross-sectional data analysis, its application to longitudinal data is rather limited so far. We consider model averaging for longitudinal response when the number of covariates is ultrahigh. To this end, we propose a novel two-stage procedure in which variable screening is first conducted and then followed by model averaging. In both stages, a robust rank-based estimation function is introduced to cope with potential outliers and heavy-tailed error distributions, while the longitudinal correlation is modeled by a modified Cholesky decomposition method and properly incorporated to achieve efficiency. Asymptotic properties of our proposed methods are rigorously established, including screening consistency and convergence of the model averaging predictor, with uncertainties in the screening step and selected model set both taken into account. Extensive simulation studies demonstrate that our method outperforms existing competitors, resulting in significant improvements in screening and prediction performance. Finally, we apply our proposed framework to analyze a human microbiome dataset, showing the capability of our procedure in resolving robust prediction using massive metabolites.
Keywords: Robust statistics; Longitudinal model; high-dimensional model
Registration:
We kindly invite faculty members, PhD candidates, graduate students, and undergraduate students to participate.
Register here!
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Mechanics Department Seminar - November 2024
The Department of Multiphysics Systems Design Laboratory (MSDL) at Jeonbuk National University (South Korea), led by Associate Professor Dr. Hyungmin Jun, will hold a professional seminar.
Associate Professor Dr. Hyungmin Jun is currently a faculty member at Jeonbuk National University (South Korea) and serves as the Principal Investigator of the Multiphysics Systems Design Laboratory. He earned his Ph.D. in Mechanical Engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 2015 and conducted postdoctoral research at the Massachusetts Institute of Technology (MIT). His primary research areas include DNA nanotechnology, computational mechanics, and medical artificial intelligence, with numerous publications in leading scientific journals.
Seminar Details:
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- Title: Vision and Research of the Multiphysics Systems Design Laboratory
- Speaker: Associate Professor Dr. Hyungmin Jun
- Time: 9:00 AM – 11:00 AM, Thursday, November 28, 2024
- Venue: Room C32A, University of Science, VNU-HCM
(227 Nguyen Van Cu Street, Ward 4, District 5, Ho Chi Minh City)
Abstract:
The Multiphysics Systems Design Laboratory (MSDL) at Jeonbuk National University conducts cutting-edge research at the intersection of DNA nanotechnology, AI for medical and smart farm applications, and biomechanics and computational methods, emphasizing applying advanced mathematical and computational methods. In DNA nanotechnology, we design and synthesize DNA origami structures and hybrid RNA-DNA nanoparticles for applications in gene therapeutics, drug delivery, and material science. In AI research, our work spans data-driven digital biomarkers, AI-assisted diagnostics, and smart farming systems, applying deep learning techniques to improve healthcare and agriculture areas. In computational mechanics, we specialize in nonlinear finite element methods, phase-field modeling, composite structure analysis, structural topology optimization, and virtual heart simulations to address complex engineering challenges. The lab’s interdisciplinary approach underscores the synergy between engineering and mathematics in solving real-world problems, fostering innovation, and offering impactful solutions across diverse fields.
This seminar will also highlight scholarship and research opportunities at Jeonbuk National University for interested students and researchers.
Registration:
We warmly invite faculty members, PhD candidates, graduate students, and undergraduate students to participate.
Register here!
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