Hojjatollah shokri kaveh | Numerical Linear Algebra | Best Researcher Award

Posted on by Academic achievements

Mr. Hojjatollah shokri kaveh | numerical Linear Algebra | Best Researcher Award

PhD student | Shahid beheshti university | Iran

Short Bio đź“š

I am Hojjatollah Shokri Kaveh, a mathematics researcher specializing in solving partial differential equations and numerical linear algebra. My research focuses on inverse problems and numerical algorithms, with a keen interest in programming.

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Education 🎓

I completed my Master’s degree at Amirkabir University of Technology under the supervision of Prof. Hojjatollah Adibi, graduating with a score of 16.50 in February 2017. Currently, I am pursuing a Ph.D. at Shahid Beheshti University of Tehran under the guidance of Prof. Masoud Hajarian.

Experience đź’Ľ

I have gained valuable teaching experience over the years. I served as a teacher at Ostadbank in Tehran for 2 years and later at Aloostad for 3 years, further enhancing my communication and pedagogical skills.

Research Interests 🧮

My research interests encompass a wide range of topics in mathematics and computer science, including MATLAB, Python, and C programming, data analysis and visualization, numerical linear algebra, numerical algorithms, partial differential equations, and inverse problems. I am passionate about applying computational methods to solve real-world mathematical challenges.

Awards 🏆

In recognition of my academic achievements, I secured the second rank in the doctoral entrance exam, highlighting my dedication and proficiency in mathematics and related fields.

Publications đź“ť

“Numerical Solution of Inverse Problems in Partial Differential Equations using Iterative Algorithms.” Journal of Computational Mathematics, 2022. Link

“Efficient Algorithms for Data Visualization in MATLAB: A Comparative Study.” International Journal of Numerical Analysis and Modeling, 2021. Link

“Application of Numerical Linear Algebra in Image Processing: A Case Study.” Journal of Mathematical Imaging and Vision, 2020. Link

“Advancements in Computational Methods for Solving Elliptic Partial Differential Equations.” Numerical Algorithms, 2019. Link

“Python Programming for Scientific Computing: A Practical Guide.” Journal of Computational Science, 2018. Link

 

 

Ophélie Renaud | Parallel Programming | Best Researchers Award

Posted on by Academic achievements

Mrs. Ophélie Renaud | Parallel Programming | Best Researchers Award

PhD Student | IETR | France

Short Bio đź“ť

Ophélie Renaud is a dedicated post-doctoral researcher with a profound interest in high-performance computing (HPC) and its applications in astronomy. With a strong academic foundation and diverse professional experience, Ophélie has contributed significantly to the field of dataflow optimization and resource allocation in multi-core and heterogeneous architectures. Her research has been pivotal in advancing the efficiency and productivity of HPC systems.

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Education 🎓

  • Doctorate (Ph.D.) in Signal, Image, Vision (2021–2024)
    • Institutions: Univ Rennes, INSA Rennes, CNRS, IETR
    • Dissertation: Model-based granularity optimization for high-performance computing systems in astronomy
  • Engineering Degree in Electronics (2018–2021)
    • Institution: INSA Rennes
    • Specialization: Innovative technology design and development in alternation
  • Technical University Diploma in Electrical Engineering and Industrial Computing (2016–2018)
    • Institution: UniversitĂ© de Rennes
  • Baccalaureate in Sciences (2016)
    • Institution: LycĂ©e F.R Chateaubriand de Combourg
    • Specializations: Physics, European Spanish section, Swimming

Experience đź’Ľ

  • Post-doctoral Researcher (Oct 2024–Mar 2025)
    • IRISA/SATIE
    • Focus: Dataflow modeling in radio astronomy, optimization of NenuFar
  • Doctoral Researcher (2021–2024)
    • Univ Rennes, INSA Rennes, CNRS, IETR
    • Focus: Resource allocation optimization, dataflow programming for SKA
  • Application Engineer Intern (Jul-Aug 2020)
    • YASKAWA Slovenia
    • Responsibilities: Automation programming, HMI and software development
  • Application Engineer Apprentice (2018-2021)
    • YASKAWA France
    • Responsibilities: Automation programming, HMI and software development
  • Robotics Technician Intern (Apr-Jun 2018)
    • YASKAWA France
    • Responsibilities: HMI programming
  • Lifeguard (Summer 2017 and 2018)
    • SNSM
    • Responsibilities: Supervision, first aid, team management

Research Interests 🔍

  • High-Performance Computing (HPC) Systems
  • Rapid Prototyping
  • Dataflow Programming
  • Resource Allocation Optimization
  • Simulation
  • SKA Radiotelescope

OphĂ©lie’s doctoral research addresses challenges in HPC systems, focusing on optimizing resource utilization, High Performance computing and  enhancing software productivity, and advancing the co-design of architectures and applications. Her contributions include methods for multi-core resource allocation, heterogeneous processor resource distribution, and optimal topologies for HPC applications.

Awards 🏆

  • Finalist in “Ma thèse en 180 secondes” Departmental Contest (May 2024)
  • Participant in 3MT Contest at the 32nd European Signal Processing Conference (Aug 2024)

Publications đź“š

  • “Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture” (2024)
    • Authors: OphĂ©lie Renaud, Erwan Raffin, Karol Desnos, Jean-François Nezan
    • Published in: 32nd European Signal Processing Conference (EUSIPCO)
    • Link
  • “Automated Clustering and Pipelining of Dataflow Actors for Controlled Scheduling Complexity” (2023)
    • Authors: OphĂ©lie Renaud, Naouel Haggui, Karol Desnos, Jean-François Nezan
    • Published in: 31st European Signal Processing Conference (EUSIPCO)
    • Link
  • “SCAPE: HW-Aware Clustering of Dataflow Actors for Tunable Scheduling Complexity” (2023)
    • Authors: OphĂ©lie Renaud, Dylan Gageot, Karol Desnos, Jean-François Nezan
    • Published in: Design and Architecture for Signal and Image Processing (DASIP)
    • Link