School of Physics - Universiti Sains Malaysia

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Sya'rawi Muhammad Husni Mohd Sharoni

syarawi pic   Sya'rawi Muhammad Husni Mohd Sharoni
  This email address is being protected from spambots. You need JavaScript enabled to view it.
  Oceanography, Microwave Remote Sensing, Meteorology, Machine Learning
  Ext :5312
  Room : 110


Profile

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


Research

" The general theme of my research is analyzing ocean-atmosphere phenomena through satellite data. "
Keywords: Microwave Remote Sensing, Oceanography, Meteorology, Machine Learning
 
1. Tropical Cyclone Observations
 
One of my research interest centres around tropical cyclones, their trends, intensities, and structures, with a focus on utilizing advanced microwave remote sensing technology, involving an altimeter, scatterometer and radiometer. Microwave remote sensing offers unique advantages in monitoring tropical cyclones, particularly during adverse weather conditions when other sensing methods may be limited. I investigate long-term trends of tropical cyclones to identify changes in frequency, intensity, and behaviour, contributing to our understanding of climate change impacts. Additionally, I am in developing an improved wind speed model to estimate cyclone intensity and maximum wind speeds to gain insights into cyclone dynamics. Through this research, it can offer a crucial and unique perspective on analyzing tropical cyclones that can be used to revisit long-term trend activity.
 
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2. El Nino - La Nina Effects
 
My research works also focused on the captivating and interrelated topics of El Niño and La Niña phenomena, through their ocean-atmosphere interactions, and their implications on climate dynamics. In this research scope, I delve into the distinct characteristics and impacts of El Niño and La Niña events specifically over the Northwest Pacific Ocean, using historical records to explore the underlying mechanisms driving these phenomena. Additionally, I investigate sea level anomalies and the thermosteric effect, which contribute to sea level variability during ENSO events, based on their relationships between El Niño/La Niña and sea surface temperature patterns in the marginal South China Sea region. Through this study, I am dedicated to investigating the effects of this event on the localized consequences and broader Earth's climate system.
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3. Rainfall Patterns
 
In a more local context, I am also exploring the complex interplay of ocean-atmospheric phenomena and its impact on water sustainability in Malaysia. Through comprehensive research, I investigate the combined effects of El Niño-Southern Oscillation (ENSO), Madden-Julian Oscillation (MJO), Indian Ocean Dipole (IOD), monsoon systems, and Pacific Decadal Oscillation (PDO) on rainfall patterns using machine learning techniques. By developing reliable climatic models, my work aims to aid water resource management, disaster planning, and agricultural strategies. By considering the combined effects of ENSO, MJO, IOD, monsoon systems, and PDO, this research aims to estimate a more holistic rainfall patterns influenced by these climatic events in Malaysia. The significance of this research lies in its potential contributions to addressing water sustainability challenges and climate change impacts in Malaysia, providing valuable insights for government agencies and decision-makers in the field.
 
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Research Vacancy

 

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

This email address is being protected from spambots. You need JavaScript enabled to view it.

+604 – 653 5312

School of Physics, Universiti Sains Malaysia

 

Application Closing Date: 20 October 2023

 

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***No Longer Available***

 
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Update: 7 February 2023

Teaching



Undergraduate

ZGT 295 - Geophysics Practical

ZGT 372 - Introduction to Oceanography

ZGT 395 - Geophysics Project

ZGE 477 - Physics Oceanography

ZGE 479 - Geological Oceanography

 

Supervision

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: This email address is being protected from spambots. You need JavaScript enabled to view it..

 

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.

Publication

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: Oceans126(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. Atmosphere12(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.

Seminar & Course Trainings

2022 - Ocean Remote Sensing Towards Climate Resilience, Universiti Teknologi Malaysia.

2017 - SuWAT Modelling & Training Workshop, Universiti Malaya.

 

Award

 Silver Medal in Graduate Research Exhibition (GREx) 2021, Universiti Teknologi Malaysia.

 

Grants

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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The Dean, School of Physics,
Universiti Sains Malaysia,
11800 USM,
Penang, Malaysia

Tel : 604 653 3200  |  Fax: 604 657 9150  |   Email :  This email address is being protected from spambots. You need JavaScript enabled to view it. |

  • Last Modified:
    Monday 02 December 2024, 03:03:07.