Hi, I’m Sathsara Dias — Applied Mathematician & Data Scientist

I specialize in reduced-order modeling and advanced data-driven methods, developing custom DMD frameworks for extracting dynamics and patterns from real-world scientific data. My work bridges mathematics with machine learning, deep learning, and data science for impactful solutions in both research and industry.

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Skills

Core technical expertise for machine learning, data science, and applied mathematics.

Programming (Python, MATLAB, R, SQL)

Machine Learning & Statistical Modeling

Data-Driven Modeling & Time Series Analysis

Dimensionality Reduction (DMD, PCA, POD)

Data Visualization (Matplotlib, Seaborn, Power BI)

Data Engineering & EDA

Deep Learning (TensorFlow, Keras)

High-Performance Computing

Collaboration & Leadership

Real-Time Predictive Systems

Accomplishments

Selected professional certifications, awards, and teaching training.

Best Oral Presentation Award — MCCNNY 2022

Awarded for the best oral presentation at MCCNNY 2022, Clarkson University, USA.

SIAM Student Travel Award

Awarded SIAM Student Travel Award to present at SIAM DS21, Applications of Dynamical Systems, USA.

Audience Choice, Best Graduate Poster — RAPS 2020

Awarded for audience choice and best graduate poster at RAPS 2020.

Best Poster Presentation Award — MCCNNY 2020

Awarded for the best poster presentation at MCCNNY 2020, Clarkson University, USA.

Graduate Teaching Assistant (GTA) Boot Camp

Completed intensive training on undergraduate STEM pedagogy, classroom management, and effective teaching practices.

IPAM Student Travel Award

Recipient of the UCLA IPAM Workshop Student Travel Award.

Inaugural Clarkson Ignite Fellow

Selected as an inaugural fellow for the Clarkson Ignite program (2019–2023).

Sun Certified Web Component Developer for Java EE Platform (SCWCD)

Recognized expertise in developing and deploying web applications using Java EE technologies, including servlets and JSP.

Sun Certified Programmer for the Java 2 Platform, SE 5.0 (SCJP)

Credential earned for demonstrating proficiency in core Java programming and object-oriented software development.

Experience

Previous associations that helped to gather experience

 
 
 
 
 

Graduate Teaching Assistant

Clarkson University

Jan 2024 – Aug 2024 Potsdam, NY, USA
• Supported teaching and grading for undergraduate and graduate mathematics courses. • Assisted in developing assignments, exams, and interactive workshops.
 
 
 
 
 

Graduate Research Assistant

Clarkson University

Jan 2019 – Dec 2023 Potsdam, NY, USA
• Led research in data-driven modeling, including Dynamic Mode Decomposition (DMD), time-series analysis, and reduced-order modeling. • Developed MATLAB/Python pipelines for aerospace and oceanographic applications. • Collaborated with multidisciplinary teams and published findings in peer-reviewed journals.
 
 
 
 
 

Graduate Teaching Assistant

Clarkson University

Aug 2018 – Dec 2018 Potsdam, NY, USA
• Supported teaching and grading for undergraduate mathematics courses. • Facilitated lab sessions and provided tutoring support.
 
 
 
 
 

Mathematics Teacher

Mahinda Rajapaksha College

Jan 2014 – May 2018 Homagama, Sri Lanka
• Taught mathematics to secondary school students. • Guided students in academic competitions and Olympiads.
 
 
 
 
 

Lecturer in Astronomy

Astronomy & Space Study Centre

Jan 2005 – May 2018 Piliyandala, Sri Lanka
• Delivered lectures and practical sessions in astronomy for school and university students. • Organized workshops, observation camps, and outreach programs. • Served as Vice President and President, leading educational and community initiatives.

Research & Publications

impactful journal articles, conference papers, and research outputs in applied mathematics, machine learning, and data science.

First-author research on unsupervised learning for buffet detection using DMD and model reduction. Early detection of aerodynamic buffet using a sliding-window DMD framework.

First-author study on airfoil buffet boundary detection with unsupervised ML and real-time predictive modeling.

Conference paper; sliding-window DMD applied to transonic buffet detection and tracking across different angles of attack.

Conference talk: Predicting aerodynamic buffet onset using DMD and Koopman analysis on RANS simulations. Presented at APS DFD 2020.

APS DFD talk: DMD-based identification of hidden oceanographic features in 3D simulations of the Strait of Gibraltar.

Conference proceedings on DMD-based prediction of buffeting onset in 2D airfoils; presented at Dynamics Days 2020 and MCCNNY 2020.

DMD analysis of 3D tidal flows through the Strait of Gibraltar, presented at Dynamics Days 2020.

Short-term rainfall forecasting in Sri Lanka using artificial neural networks and ground-level data.

Long-term survey of lightning casualties in Sri Lanka using archival newspaper data; B.Sc. thesis research at University of Colombo.

TALKS AND POSTER PRESENTATIONS

MY FANS DON’T FEEL LIKE I HOLD ANYTHING BACK FROM THEM

Oral presentation on advanced data-driven analysis for complex systems at NERCCS 2024.

Poster presentation on dynamic mode decomposition and its application to real-world time-series data at SIAM DS23.

Oral presentation on model reduction and data-driven analysis at MCCNNY 2022.

Oral presentation on advances in dynamic mode decomposition at SIAM DS21.

Conference talk on nonlinear dynamics and model reduction at APS DFD 2020.

Poster presentation on novel dynamic mode decomposition for time-series analysis, awarded Best Graduate Poster.

Poster presentation on the identification of coherent structures using DMD at Dynamics Days 2020.

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