Mr. Philippe Manjakasoa Randriantsoa | Neutrino Physics | Best Researcher Award

PhD Student in High Energy Physics at University of Antananarivo Madagascar/ INSTN, Madagascar

Manjakasoa randriantsoa is a dedicated physicist from itasy, madagascar, specializing in high-energy physics, with a strong focus on neutrino physics, numerical simulations, and AI-driven data analysis. currently a PhD student at the university of antananarivo, his research explores how machine learning and computer vision can advance physics and astrophysics. passionate about astronomy and big data science, he aims to contribute groundbreaking research while mentoring young scientists. in addition to his academic work, he teaches maths and physics as a private tutor and serves as a lecturer in fluid mechanics at INSTN – madagascar. 🚀📡

Professional Profile:

Orcid

Education & Experience 🎓💼

📚 Education

• PhD Student in High Energy Physics (Ongoing) 🎓🔬

  • University of Antananarivo, Madagascar

  • Thesis: Neutrino physics and numerical simulations

  • Supervisor: prof. roland raboanary

  • Co-supervisor: dr. ravo tokiniaina ranaivoson

• Master’s in High Energy Physics (2024) 🎓🔭

  • University of Antananarivo, Madagascar

  • Thesis: The quality of the luminosity spectrum and its impact on the mass of the Higgs boson at 380GeV at CLIC

  • Supervisor: dr. fenompanirina andrianala

  • GPA: 3.42/4

• Bachelor’s in Physics and Applications (2020) 📡📖

  • University of Antananarivo, Madagascar

  • Thesis: The Radioastronomy

  • Supervisor: prof. minoson sendrahasina rakotomalala

  • GPA: 2.35/4

💼 Work Experience

• Lecturer in Fluid Mechanics (2024-2025) 🏫💨

  • INSTN – Madagascar (Institut National des Sciences et Techniques Nucléaires)

• Process Operator Intern (July 2024 – January 2025) ⚙️🔬

  • Dynatec Madagascar S.A. (Nickel & Cobalt Mining Industry, Ambatovy Toamasina)

• Private Tutor in Maths & Physics (2018 – Present) 📚✍️

  • Teaching high school students

Professional Development 🚀📈

Manjakasoa is deeply engaged in the intersection of physics and AI, using machine learning to enhance high-energy physics research. his expertise includes numerical simulations, particle physics, and big data analysis, leveraging tools like ROOT, FastJet, and HepMC. as a lecturer at INSTN-madagascar, he shares his knowledge of fluid mechanics, shaping the next generation of physicists. his experience as a process operator intern at dynatec madagascar S.A. has provided industrial exposure to nickel and cobalt mining technologies. he also mentors students as a private tutor, emphasizing the importance of STEM education in madagascar. 🔭🔢

Research Focus 🔬📊

Manjakasoa’s research focuses on high-energy physics, with a strong emphasis on neutrino physics, luminosity spectrum analysis, and AI-driven physics simulations. he explores how machine learning and computer vision can be applied in astrophysics and particle physics, particularly in collider experiments like the Compact Linear Collider (CLIC). his work delves into Higgs boson mass measurements, radioastronomy, and big data analytics for high-energy experiments. by integrating computational physics tools such as MATLAB, ROOT, and WHIZARD, he aims to bridge theoretical models with real-world applications, contributing to advances in particle detection and simulation techniques. 🚀📡

Awards & Honors 🏆🎖️

🔹 Best Research Presentation Award – University of Antananarivo (2024) 🎤🏅
🔹 Outstanding Academic Achievement in High Energy Physics – INSTN-Madagascar (2023) 📖📊
🔹 Top 10 Physics Innovators in Madagascar – Science & Innovation Forum (2022) 🚀🔬
🔹 STEM Educator of the Year – Private Tutoring Network (2021) 🎓👨‍🏫

Publication Top Notes

• Title: Quantum Phase Space Symmetry and Sterile Neutrinos

  Authors: Philippe Manjakasoa Randriantsoa

  Journal: Journal of Subatomic Particles and Cosmology

  Year: 2025

  DOI: 10.1016/j.jspc.2025.100039

• Citation (APA format):

  Randriantsoa, P. M. (2025). Quantum phase space symmetry and sterile neutrinos. Journal of Subatomic Particles and Cosmology. https://doi.org/10.1016/j.jspc.2025.100039

Conclusion

Although Philippe Manjakasoa shows great potential, he may not yet meet the criteria for a Best Researcher Award, which often requires established and peer-reviewed research contributions with significant citations and impact. However, with continued research, publications, and contributions to high-energy physics, he could become a strong candidate for future awards in emerging researcher or young scientist categories.