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.

Know more Contact me

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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

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

SIAM Student Travel Award

Society for Industrial and Applied Mathematics (SIAM) May 2021
Awarded SIAM Student Travel Award to present at SIAM DS21, Applications of Dynamical Systems, USA.

Audience Choice, Best Graduate Poster — RAPS 2020

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

Best Poster Presentation Award — MCCNNY 2020

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

Graduate Teaching Assistant (GTA) Boot Camp

Clarkson University Jan 2020
Completed intensive training on undergraduate STEM pedagogy, classroom management, and effective teaching practices.

IPAM Student Travel Award

UCLA IPAM Workshop Oct 2019
Recipient of the UCLA IPAM Workshop Student Travel Award.

Inaugural Clarkson Ignite Fellow

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

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

Oracle (Sun Microsystems) Jan 2009
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)

Oracle (Sun Microsystems) Jan 2008
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.

AIAA J.
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.
Journal PDF DOI Download Paper (Google Drive)

JPO (arXiv)
First-author publication; DMD-based analysis of oceanographic data for tidal flow characterization.
DOI arXiv Abstract Download PDF Data & Code (GitHub)

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

SIAM DS23, Portland
Conference paper; sliding-window DMD applied to transonic buffet detection and tracking across different angles of attack.

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

APS DFD 2018
APS DFD talk: DMD-based identification of hidden oceanographic features in 3D simulations of the Strait of Gibraltar.

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

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

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

B.Sc. Thesis
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

Mar 18, 2024 9:00 AM Clarkson University, Potsdam, NY, USA
Oral presentation on advanced data-driven analysis for complex systems at NERCCS 2024.

May 14, 2023 9:00 AM Portland, OR, USA
Poster presentation on dynamic mode decomposition and its application to real-world time-series data at SIAM DS23.

Mar 1, 2022 9:00 AM Clarkson University, Potsdam, NY, USA
Oral presentation on model reduction and data-driven analysis at MCCNNY 2022.

May 25, 2021 10:00 AM Virtual (USA)
Oral presentation on advances in dynamic mode decomposition at SIAM DS21.

Nov 22, 2020 10:00 AM Virtual (USA)
Conference talk on nonlinear dynamics and model reduction at APS DFD 2020.

Apr 15, 2020 9:00 AM Clarkson University, Potsdam, NY, USA
Poster presentation on novel dynamic mode decomposition for time-series analysis, awarded Best Graduate Poster.

Jan 6, 2020 9:00 AM Hartford, CT, USA
Poster presentation on the identification of coherent structures using DMD at Dynamics Days 2020.

Popular Topics

Aerospace Aircraft Design APS DFD Artificial Neural Networks Best Graduate Poster BSc Thesis Buffet Detection CFD Complex Systems Conference Talk Data Analysis Data-Driven Modeling Deep Learning Demo Disaster Management DMD Dynamic Mode Decomposition Dynamical Systems Dynamics Days Fluid Dynamics Hopf Bifurcation Human Hydrometeorology Lightning Casualties Machine Learning MCCNNY MITgcm Model Reduction NERCCS Nonlinear Dynamics Oceanography Oral Presentation Poster Presentation Rainfall Forecasting RAPS Risk Assessment Robotics SIAM Sliding Window DMD Spectral Decomposition Sri Lanka Tidal Flows Transonic Buffet Unsupervised Learning

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