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Publications

Peer-reviewed work and working papers across financial volatility, environmental statistics, and AI in education — modeling how complex systems encode, decay, and forget information.

4 published 1 under review 2 proceedings 6 working papers

Google Scholar ORCID GitHub

▸Published

// peer-reviewed

Evaluating Fine-Scale Air-Quality Heterogeneity Using a Low-Cost Multipollutant Sensor Network in Twin Cities, Minnesota

Published

A. Yatawara et al.

ACS ES&T Air, 2025

Publisher ↗

Income-Based Exposure Disparities Across California Counties, 2000–2023: A Generalizable Statistical Framework

Published

A. Yatawara, K. Ko, C. Rodriguez

Environmental Research: Health, 2025

Publisher ↗

WIP: Structured AI Tutoring in Engineering Education

Published

A. Cruz, A. Yatawara, et al.

IEEE FIE 2025

IEEE Xplore ↗

Computer-Aided Instruction for K–12 Teachers: A Cognitive Apprenticeship Approach to LLM Integration

Published

A. Cruz, A. Yatawara, et al.

IEEE FIE 2025

▸Under Review

// submitted

From Answer Generators to Thinking Partners: Scaffolded LLM Tutors in Statistics Education

Submitted

A. Yatawara, J. Wang, A. Cruz, M. Mishra

Submitted to JSDSE, 2025

▸Conference Proceedings

// JSM

A Multiplicative Factor Multi-Frequency Exponential GARCH Model

A. Yatawara, V.A. Samaranayake

JSM Proceedings, Business & Economic Statistics Section, 2022

An Asymmetric Hyperbolic Generalized Autoregressive Conditional Heteroscedastic Model

A. Yatawara, V.A. Samaranayake

JSM Proceedings, 2021

▸Dissertation

// Missouri S&T

The Multiplicative Factor Multi-Frequency Exponential GARCH ((MF)²EGARCH)

A. Yatawara

Ph.D. Dissertation, Missouri S&T, 2023

ProQuest ↗

▸Working Papers

// in production

The Shape of Volatility Memory: Sub-Exponential ARCH(∞) Kernels Across 100+ Financial Assets

In progress

A. Yatawara

Target: Journal of Business & Economic Statistics

MF2V-GARCH: Augmenting Multi-Factor Volatility with Smoothed Trading Volume

In progress

A. Yatawara

Target: Journal of Forecasting

MATLAB Toolbox ↗

MF2-GARCH-A: Volatility Modelling with a Sign-Sensitive Long-Run Component

In progress

A. Yatawara, V.A. Samaranayake

Target: International Journal of Forecasting

The Multiplicative Factor Multi-Frequency Exponential GARCH (MF2-EGARCH)

In progress

A. Yatawara, V.A. Samaranayake

Target: International Journal of Forecasting

Multiple Regime Hyperbolic GARCH (MR-HYGARCH)

In progress

A. Yatawara, V.A. Samaranayake

Target: TBD

Improving Influenza Forecasting: A GRU-CNN Hybrid Model with Yeo-Johnson Scaling

In progress

A. Yatawara, N. Gallego, I. Ratnayake

Target: TBD

▸Selected Presentations

// talks & panels

Selected presentations by year, title, and venue
Year	Title	Venue	Role
2025	Hybrid LSTM Deep Learning Model for Forecasting Influenza-Like Illnesses	JSM, Nashville TN	Contributed Paper
2025	Findings from ELEVATE	AI in Education Day, UC Berkeley	Invited Panel
2025	Build Your AI Teaching Assistant	NextTech Kern	Session Lead
2022	A Multiplicative Factor Multi-Frequency Exponential GARCH Model	JSM, Washington DC	Contributed Paper
2021	The Asymmetric Hyperbolic GARCH Model	JSM Virtual	Speed Presentation

Full publication list

A complete, continuously updated record of citations and preprints lives on Google Scholar. For working-paper drafts or collaboration inquiries, reach out at ayatawara@csub.edu.

View Google Scholar profile →