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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.

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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)

 

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Mathematical presentation: “Renormalised” isoperimetric inequalities by Nguyen Manh Tien (postdoc at University of Luxembourg) is scheduled to take place on the day 22 - Jan - 2024. 

The Mathematical presentation schedule is described as follows:

  • 09h00-09h40: Part 1 is designed for listeners without prior knowledge of geometry and will introduce the concepts of minimal surfaces, geometry of surfaces, hyperbolic space, and their history.
  • Tea Break.
  • 10h00-10h30: Part 2 - Further discusses details and applications.
  • 10h30-11h00: Part 3  - Facilitates sharing and networking regarding learning and work.

Speaker: Nguyen Manh Tien - Post Doctoral at University of Luxembourg.

The students, master’s students and Ph.D. students and anyone interested are invited to participate in the meeting. To attend, please register (scan the QR code below or click on the link).

This presentation is combined with live streaming for those who want to attend remotely. If time permits, we will discuss applications of this to knot invariants coming from counting minimal surfaces in hyperbolic space.

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[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.

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臺師大跨域科技產業創新研究學院招生簡章Fall_2024-Spring_2025-1.png2.png3.png4.png5.png6.png7.png8.png9.png

  1. China-AUN Scholarship 2024/2025
  2. Seminar Probability and Statistics (October 2023)
  3. Registration for SIMIODE Challenge Using Differential Equations Modeling (SCUDEM)
  4. Meeting with Professors from NCU, Taiwan