Sya'rawi Muhammad Husni Mohd Sharoni
Sya'rawi Muhammad Husni Mohd Sharoni | ||
Oceanography, Microwave Remote Sensing, Meteorology, Machine Learning | ||
Ext :5312 | ||
Room : 110 |
I am a lecturer at the Geophysics Department, School of Physics, Universiti Sains Malaysia. Having enthusiastic about Earth science, I have a great background in oceanography and microwave remote sensing. The general theme of my research is to investigate Earth's extreme-natural phenomena by using a satellite based-platform. My particular interest at this moment is to observe a gigantic tropical cyclone event globally. Vast experience in MATLAB programming skills with the addition of machine learning (Artificial Neural Network, Support Vector Machine, Gaussian Process Regression), help me to deal with high-volume data and unique processing techniques. My personal academic website: https://www.syarawisharoni.com/ Personal Details Name: Sya'rawi Muhammad Husni Bin Mohd Sharoni Current Position: University Lecturer Nationality: Malaysia Gender: Male Address: Room 110, Pusat Pengajian Sains Fizik, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, MALAYSIA Education Background BSc (Hons.) Geophysics - Universiti Sains Malaysia, Malaysia MRes Ocean Sciences - University of Southampton, United Kingdom PhD.Remote Sensing - Universiti Teknologi Malaysia, Malaysia Professional Background 2022 - Senior Lecturer, School of Physics, USM 2017 - Tutor, School of Physics, USM 2014 - 2015 - Imaging Geophysicist, Imaging and Engineering Department, Petroleum Geo-Service (PGS) (M) Sdn. Bhd. 2013 - Trainee at Geoscience Division, Mineral and Geoscience Department, Malaysia Professional Membership 2022 - Member (#98471326), IEEE Geoscience and Remote Sensing Assalamualaikum and Hi all. I am looking for a PhD student. If you know anyone that interested, please do let them know and give me a shout. Thank you! **Immediate Research Vacancy** PhD in Physics (Environmental Remote Sensing) Research Project: New Parametric Integration of Multi-Microwave Satellite For High Accuracy Tropical Cyclone Wind Speed Using Machine Learning. Research Grant: Fundamental Research Grant Scheme (FRGS) 2023 by Kementerian Pengajian Tinggi (KPT) Duration: 3 Years. Expected Start: Immediate. Position: 1 PhD Student. Location of Research: Geophysics Group, School of Physics, Universiti Sains Malaysia. Monthly Allowance: RM2500 Minimum Requirement - Malaysian with a Bachelor’s Degree and Master’s in Geoscience or any Earth Science related field. - Minimum CGPA of 3.00. - Excellent in Oceanography, Meteorology & Remote Sensing. - Knows basic programming (E.g.: MATLAB, Python). - Good command of English. - Demonstrates a serious passion for Earth Science research. If interested and require further information, please contact or send your CV to; Dr. Sya’rawi Muhammad Husni Mohd Sharoni +604 – 653 5312 School of Physics, Universiti Sains Malaysia Application Closing Date: 20 October 2023 ------------------------------------------------------------------------------------------------------------------ ***No Longer Available*** ZGT 295 - Geophysics Practical ZGT 372 - Introduction to Oceanography ZGT 395 - Geophysics Project ZGE 477 - Physics Oceanography ZGE 479 - Geological Oceanography I am currently looking for a strong and passionate MSc/PhD student who has enthusiastic to embark on a journey of exploring Earth's extreme phenomena by using satellites. Willing to learn programming (e.g.: MATLAB) is a bonus, especially in this all-sensors-data (Big Data) era. For more details, please contact me: Current Supervision 2023 (ongoing) - Tropical Cyclone Characterization From The Microwave Remote Sensing Observation - Nik Raisyha Nurfarain binti Abdullah (MSc Candidate, Main SV) 2022 (ongoing) - High-Precision InSAR Monitoring and Identification of Large-Scale Geological Disasters - Duan Liyuan (PhD Candidate, Co-SV) 2022 (ongoing) - Advanced Quantitative Interpretation and Seismic Attribute Analysis for Reservoir Characterization and Fracture Prediction - Khan Muhammad (PhD Candidate, Co-SV) Undergraduate Project 2023 - The Influences of ENSO Activity to Sea Level Variation in The Marginal South China Sea - Nurin Nadhirah binti Hairi Zahril and Syasya Aqilah binti Abdul Razak. 2023 - The Variations of Tropical Cyclone Activity in The South China Sea - Asilah binti Abdul Hannan and Nurul Izzah binti Mustafa. Internships 2023 - Scope: Geophysics & Geoscience Data Processing - Nur Farah Nadiah Binti Zakaria and Nur Dhiya Binti Syaabani (Physics [Undergradute], Universiti Teknologi Malaysia) - 17 July until 7 October 2023. 2023 - Scope: Ocean Physics - Rizka Berliani and Rozylla Agustina (Physics [Undergradute], Universitas Bengkulu, Indonesia) - 11 until 26 September 2023. Journal Sharoni, S. M., Md Reba, M. N., & Hossain, M. S. (2021). Tropical Cyclone Wind Speed Estimation From Satellite Altimeter‐Derived Ocean Parameters. Journal of Geophysical Research: Oceans, 126(4), e2020JC016988. Roslan, N., Md Reba, M. N., Sharoni, S. M., & Hossain, M. S. (2021). The 3D Neural Network for Improving Radar-Rainfall Estimation in Monsoon Climate. Atmosphere, 12(5), 634. Indexed Conference Sharoni, S. M., & Reba, M. N. M. (2022, July). Instantaneous Tropical Cyclone Wind Characterization from JASON-3 Satellite Altimeter. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 7077-7080). IEEE. Sharoni, S., & Reba, M. M. (2021, February). Multi-Parameter Neural Network for Altimeter Tropical Cyclone Wind Speed Estimation. In IOP Conference Series: Earth and Environmental Science (Vol. 682, No. 1, p. 012020). IOP Publishing. Other Conference Sharoni, S. M., & Md Reba, M. N. (2019). Altimeter Wind Speed Estimation in Tropical Cyclone. Graduate Conference of Built Environment and Surveying, GBES 2019. Sharoni, S. M., & Md Reba, M. N. (2018). Challenges and Possibility of Satellite Altimeter Derived Sea Level Anomaly for Tropical Cyclone Identification in The South China Sea. Asian Conference on Remote Sensing, ACRS 2019. PhD Thesis Satellite Altimeter Wind Speed Estimation and Tropical Cyclone Characterization Using Machine Learning, Universiti Teknologi Malaysia, 2022. 2022 - Ocean Remote Sensing Towards Climate Resilience, Universiti Teknologi Malaysia. 2017 - SuWAT Modelling & Training Workshop, Universiti Malaya. National Grants 2023 - New Parametric Integration of Multi-Microwaves Satellite for High Accuracy Tropical Cyclone Wind Speed Using Machine Learning (Fundamental Research Grant Scheme 2023), 01/10/2023-30/9/2026, RM 112,000.00, [Principal Investigator]. University Grants 2023 - Tropical Cyclone Characterization from the Microwave Remote Sensing Observations (Short-Term Grant 2023), 01/02/2023-31/01/2025, RM 38,400.00, [Principal Investigator]. Industrial Grants 2022 - IRON ONE EXPLORATION USING MAGNETIC METHOD AT PLOT 5, SUNGAI SIPUT, PERAK, 18/04/2022-18/09/2022 [Co-Investigator]. 2022 - TIME-LAPSE ELECTRICAL RESISTIVITY IMAGING ON DAM EMBARKMENT AT AIR ITAM, JOHOR, 05/07/2022-05/07/2023 [Co-Investigator]. 2022 - PRELIMINARY STUDY : ERT SURVEY TO MAP THE GROUND SUBSURFACE FOR CONSTRUCTION OF MRT3, SELANGOR AT FOUR SELECTED STATIONS, 15/08/2022-15/01/2023 [Co-Investigator].
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