Tin mới

English

Chi tiết
Chuyên mục: English
Lượt xem: 1995

Mathematical Analysis Seminar, Academic Year 2023-2024

  • Invited Speaker: TRAN BAO NGOC (Institute of Mathematics and Scientific Computing, University of Graz, Austria)
  • Date & Time: 07, March, 2024, 14.00 - 16.00
  • Title: Rigorous derivation of Michaelis-Menten kinetics in the presence of diffusion
  • Room: F207, Nguyen Van Cu Campus.
  • Abstract: Reactions with enzymes are critical in biochemistry, where the enzymes act as catalysis in the process. One of the most used mechanisms for modeling enzyme catalyzed reactions is the Michaelis-Menten (MM) kinetic. In the ODE level, i.e. concentrations are only on time-dependent, this kinetic can be rigorously derived from mass action law using quasi-steady-state approximation. This issue in the PDE setting, for instance when molecular diffusion is taken into account, is considerably more challenging and only formal derivations have been established. In this paper, we prove this derivation rigorously and obtain MM kinetic in the presence of spatial diffusion. In particular, we show that, in general, the reduced problem is a cross diffusion-reaction system. Our proof is based on improved duality method, heat regularization and a suitable modified energy function. To the best of our knowledge, this work provides the first rigorous derivation of MM kinetic from mass action kinetic in the PDE setting.
  • Organizer: LE TRONG THANH, BUI (Vietnam National University – Ho Chi Minh City, University of Science)

Chi tiết
Chuyên mục: English
Lượt xem: 1998

"Probability - Statistics Seminar in January 2024" is going to be organized with a report by Dr. Nguyen Ngoc Dung.

Dr. Nguyen Ngoc Dung is currently a postdoctoral researcher at the Department of Statistical Sciences, University of Padova, Italy. She is a former student of the Department of Mathematics - Informatics, Academic year 2013. She defended her thesis titled "Model selection for colored graphical models for paired data", in May 2022. Current research fields Dr. Dung's current work is Gaussian graphical models for paired data, high-dimensional mixture of experts.

Undergradate, Master and Ph.D. students and interested people are invited to participate the seminar.

    • Time: 2:30 p.m. to 3:30 p.m. Thursday, January 25, 2024.
    • Location: Room F207, Campus 1- University of Science(227 Nguyen Van Cu St., District 5, Ho Chi Minh City).

Summary of the report is as follows:

Gaussian Graphical Model is a statistical model that represents the conditional dependence structure between random variables using a graph. The Gaussian graph model is also known as Gaussian Markov random fields or Gaussian network. The structure of a Gauss graph basically consists of two parts: nodes and the edges, in which each node corresponds to a random variable, and each edge represents the conditional dependence between nodes (random variables). This dependence can be directed or undirected. The Gauss graph model is widely applied in various scientific fields including: biology, finance and computer science.

This talk aims to briefly introduce the Gauss graph model and related issues, from theoretical foundations to applications. The main content includes the following sections:

    • Introduction to the Gauss graph model;
    • Application of Gauss graph model (some examples in biology, finance, ...);
    • Select Gauss graph model (Lasso graph model, stepwise backward selection);
    • Introduction to the Gauss graph model with symmetry conditions;
    • Selection of Gauss graph model with symmetry condition (fused Lasso, stepwise backward selection);
    • Applying Gauss graph model with symmetry condition for paired data.

Scan the QR code below or click on the link before January 24, 2024 to register to attend.

Seminar_01.2024_-_Eng.png

Chi tiết
Chuyên mục: English
Lượt xem: 2059

Vietnam National University - Ho Chi Minh City 

University of Science

Faculty of Mathematics and Computer Science

227 Nguyen Van Cu street, District 5, Ho Chi Minh City, Vietnam
Web: https://www.math.hcmus.edu.vn

 

Seminar in Mathematics

Academic Year 2023-2024

Invited Speaker: FRANK KUTZSCHEBAUCH (University of Bern, Mathematical Institute, Swiss)

 

Date & Time: 27, January, 2023, 09.30 a.m -11.00 a.m

Title: Applications of the Oka principle to Linear Algebra problems with holomorphic dependence

 

Abstract: We explain in the recent results of Schott, Huang and the speaker about factorization of holomorphic symplectic matrices as products of holomorphic elementary symplectic matrices. To highlight the techniques for proving such a result we give a more detailed analysis of the proof of the corresponding result for matrices of determinant 1 due to Ivarsson and the speaker.

If time permits we go into the problem of product of exponentials and into connections with  algebraic K-theory.

Organizer:

HOANG BIEN, MAI (Vietnam National University – Ho Chi Minh City, University of Science)

VU KHANH, TRAN (Vietnam National University – Ho Chi Minh City, International University)

KIM HA, LY (Vietnam National University – Ho Chi Minh City, University of Science)

 

Chi tiết
Chuyên mục: English
Lượt xem: 2054

University of Padua is conducting the first call for the academic year 2024 - 2025, offering various fields of study suitable for graduates in Mathematics, Computer Science, and Data Science:

1. Data Science

Application process details: Data Science - University of Padua

Requirements: At least 3 years of Bachelor's degree program with skills and knowledge in Mathematics and Computer Science.

2. Computational Finance

Application process details: Computational Finance - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Mathematics, Probability, and Statistics.

3. Mathematics

Application process details: Mathematics - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Algebra, Analysis, Numerical Analysis, Probability and Statistics, Mathematical Physics, and Geometry.

4. Computer Science

Application process details: Computer Science - University of Padua

Requirements: At least 3 years of bachelor's degree program with skills and knowledge in Computer Science, Information Technology, Mathematics, Probability, and Statistics.

  • English language certificate requirement: minimum B2 (CEFR) or equivalent (e.g., IELTS >= 6.0), details can be found in the Language requirement section.
  • Application periods:
    • Phase 1: 02/11/2023 - 02/02/2024 (for both international and Italian students)
    • Phase 2: 02/03/2024 - 02/05/2024 (for both international and Italian students)
    • Phase 3: 02/06/2024 - 02/08/2024 (only for Italian students)
  • Tuition fee: 2739€/year
  • Scholarships and grants. There are various scholarship and grant sources available:
    1. Padua International Excellence Scholarship - former student Lê Ngọc Diễm (class of 2015) has received this scholarship.
    2. Fee-waivers. University of Padua has a policy of 100% tuition fee waiver for students from families with lower average income than the specified threshold (usually lower: 19,000 to 24,000€/year).
    3. Scholarships from departments within University of Padua.
    4. Scholarships from the Italian Ministry of Foreign Affairs and International Cooperation (MAECI).
    5. Invest Your Talent (Italian Ministry of Foreign Affairs). Details can be found in the Scholarships section.
  • Former students of the Department who have pursued master's programs at University of Padua:
    1. Trần Khải An (academic year 2014) - Master's in Mathematics 2019 - 2021 - ALGANT program of Europe.
    2. Lê Ngọc Diễm (academic year 2015) - Master's in Data Science 2020 - 2022 - Padua International Excellence Scholarship.

Chi tiết
Chuyên mục: English
Lượt xem: 1887

[Scientific Seminar] Wear - Then - Act: Wearables for Personalized Healthcare & Human-Computer Interaction

  • Time and Date: 10:00AM, 28.12.2023
  • Format: 
    • Offline: 30 slots  E202B Room - University of Science - VNU HCM (227, Nguyen Van Cu Street, District 5).
    • Online: 100 slots on Zoom platform.  
  • Presenter: Assistant Professor Anh Nguyen (Department of Computer Science at the University of Montana, USA) 
  • Bio: Anh Nguyen is an Assistant Professor in the Department of Computer Science at the University of Montana, USA, and leads the Mobile Cyber-Physical Intelligence (mCyPhI) Lab. She earned her Ph.D. in Computer Science from the University of Colorado Boulder. Her research interests encompass designing, developing, and deploying innovative sensing and intervention technologies for smart health, the Internet of Things, and human-computer interactions. Her team's overarching research mission involves exploring and expanding the potential of cyber-physical systems through multimodal data fusion and interpretation frameworks in multidisciplinary research. This includes understanding human activities, enhancing human capabilities, predicting future health issues, operating in inaccessible conditions, and improving efficiency. Her research has been published at top-tier venues for systems, including ACM MobiCom, ACM SenSys, ACM MobiSys, and Springer Nature Scientific Reports. Her research contributions have been recognized with three Best Paper awards, one Best Paper Runner Up award, one Best Paper Nominee, and four Research Highlights from ACM SIGMOBILE and Communications of the ACM. 
  • Tilte: Wear-Then-Act: Wearables for Personalized Healthcare & Human-Computer Interaction
  • Abstract: Physiological signals, generated by various bodily sources, contain crucial information about the condition of the body's major structures, encompassing brain activities, eye movements, muscle contractions, and cardio-respiratory features, among others. Monitoring and stimulating such biosignals not only aids in diagnosing, treating, and preventing health conditions but also establishes implicit two-way communication between humans and computers. Unfortunately, the current 'gold standard' for studying physiological signals is intrusive, expensive, and often unwieldy. This talk introduces our innovative wearable systems, promising unobtrusive, cost-effective, and accurate sensing and stimulation capabilities for reliable physiological signals in comfortable in-home settings. I will discuss how our wearable cyber-physical systems offer clinical-grade solutions, enabling the simultaneous sensing of multiple biosignals at non-standard locations and real-time brain entrainment for closed-loop personalized healthcare practices. Furthermore, I will explore potential research avenues for deploying these systems in diverse real-world human-computer interaction (HCI) directions.

Scientific_Seminar_-_Nguyen_Tran_Lanh_Anh_-_December_2023_US-VNUHCM_1.jpg

  1. Mathematical presentation: “Renormalised” isoperimetric inequalities
  2. Admission Prospectus Fall 2024-Spring 2025
  3. China-AUN Scholarship 2024/2025
  4. Seminar Probability and Statistics (October 2023)