Hello, I'm Sudhagar Suyamprakasam.

I am doing my doctoral thesis at Nicolaus Copernicus Astronomical Center (CAMK), Poland, and my doctoral advisor is Prof. Dr. Hab. Michał Bejger.

Sudhagar Suyamprakasam

Professional Experience

Prior to joining CAMK, I worked as a Scientific Software Developer in the Gravitational Wave Research Group at the Inter-University Centre for Astronomy and Astrophysics (IUCAA), India, where I collaborated with Prof. Dr. Sukanta Bose. Before joining IUCAA, I served as a Junior Research Fellow with the Max Planck Partner Groups at IISER Thiruvananthapuram and the Radio Astronomy Centre, NCRA–TIFR, Udhagamandalam. I have been a member of the LIGO–Virgo–KAGRA Collaboration since 2014, with a brief hiatus from 2016 to 2018.

My earlier professional experience includes teaching, consulting, and working as a Physics Subject-Matter Expert specializing in content development, review, and quality analysis. I also completed internships at Aaum Research and Analytics, Chennai; the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Bengaluru; and the Indian Institute of Science (IISc), Bengaluru.

I graduated in Applied Physics from the National Institute of Technology (NIT), Tiruchirappalli, following my undergraduate studies in Physics at St. Joseph's College, Tiruchirappalli.

National Science Centre · PRELUDIUM · Principal Investigator

Through the Lens: Discovering Continuous Gravitational Waves Amplified by Microlensing

Project number: 2024/53/N/ST9/02266

Research Interests

Gravitational Lensing

Probing the physical nature of lensing objects and sources through gravitational lensing effects in gravitational waves.

Higher-Order Spectral Analysis:

Higher-order spectral analysis methodologies for gravitational-wave data, with applications to signal detection, characterization, and noise mitigation.

Machine Learning in Gravitational-Wave Astronomy:

Applying machine learning methods to enhance signal detection, improve parameter inference, and reduce computational overheads associated with increasingly large gravitational-wave datasets.

Gravitational Waves from IMBH Systems:

Exploring gravitational-wave signatures from intermediate-mass black hole binaries (IMBHBs) and intermediate-mass-ratio inspirals (IMRIs), focusing on their detectability and physical implications for current and future gravitational-wave detectors.

Scientific Software & Contributions

Ongoing Data Analysis Tools & Software Development:

  • PyBicoh: Nonlinear Noise mitigation
  • Dual-Harmonic Gravitational-Wave signal search from the Neutron Star
  • Lensing Pattern detection in Long-Duration Gravitational-Wave Signals
  • Identify Beat Frequencies from the Gravitational-Lensing effect

  • Contributions to gravitational-wave data analysis packages and research tools:

    PyStoch ↗ FScan (Python) ↗ SiGMa-Net HeyLIGO