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Research Amin Riazi, PhD
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§ 01.1

External projects

With outside partners
Wetland monitoring site in Snohomish County2026

Snohomish County Critical Area Monitoring and Adaptive Management Planning and Implementation

Wetland Predictive Model Development and Testing

2026

§ 01.2

Internal projects

Seattle University
Drone-based detection of floating objects on a water surface2026

Drone-Based AI System for Autonomous Floating Object Detection and Surface Velocity Measurement

College of Science and Engineering Undergraduate Student/Faculty Research Support Award · 2026

Unoccupied aerial system imagery used for deep learning crop disease detection2024

AI-powered unoccupied systems and deep learning for crop disease detection

Multidisciplinary Research Award Application · 2024

Pipe network model used in the EPANET optimization study2024

Optimizing Pipe Network Design Using Genetic Algorithm Integration in EPANET

College of Science and Engineering Undergraduate Student/Faculty Research Support Award · 2024

§ 02

Papers

Showing all 17 papers.

§ 02.1

Journal articles

14 papers
Figure from “Differentiating broadcast from viral”2024

Differentiating broadcast from viral: a causal inference approach for information diffusion analysis

Riazi, A., & Wang, Y.

Classifies retweet cascades on X as broadcast or viral by deterministic causal inference rather than structural virality, so the distinction still holds when a cascade has more than one source.

Applied Intelligence 54, 10374–10385 14 August 2024
Figure from “Subaerial Beach Profiles: the Application of Erosion and Accretion Balanced Approach in Southwestern Maine, USA”2022

Subaerial Beach Profiles: the Application of Erosion and Accretion Balanced Approach in Southwestern Maine, USA

Riazi, A., Türker, U., & Slovinsky, P. A.

Applies the erosion and accretion balanced approach to 934 subaerial profiles from southwestern Maine, and finds the fourteen-year average profile does represent equilibrium, including through storms and abrupt sea level rise.

Estuaries and Coasts 45, 1983–1998 15 March 2022
Figure from “Evaluation of Different Machine Learning Frameworks to Estimate CO₂ Solubility in NaCl Brines”2022

Evaluation of Different Machine Learning Frameworks to Estimate CO₂ Solubility in NaCl Brines: Implications for CO₂ Injection into Low-Salinity Formations

Mohammadian, E., Liu, B., & Riazi, A.

Estimates CO₂ solubility in NaCl brine from pressure, temperature and salinity with four data-driven methods, and derives a simple genetic-algorithm equation that holds beyond the range of the source data.

Lithosphere 2022 (Special 12), 1615832 2022
Figure from “Subaerial beach profiles classification: an unsupervised deep learning approach”2021

Subaerial beach profiles classification: An unsupervised deep learning approach

Riazi, A., & Slovinsky, P. A.

An unsupervised convolutional network sorts 916 subaerial profiles from six Maine beaches into 2, 3 and 5 groups with no criteria set in advance, finding the features the profiles share.

Continental Shelf Research 226, 104508 1 September 2021
Figure from “The impact of diurnal surface water fluctuations on groundwater diffusion”2021

The impact of diurnal surface water fluctuations on groundwater diffusion: assessment through Fick’s second law

Riazi, A., Türker, U., & Rakhshandehroo, G. R.

A numerical model built on Fick’s second law tracks how diurnal stream level changes travel as pressure head through a confined heterogeneous aquifer; gradual and sudden rises converge over time.

Environmental Science and Pollution Research 28, 32321–32329 23 February 2021
2021

Peak unit discharge estimation based on ungauged watershed parameters

Kayan, G., Riazi, A., Erten, E., & Türker, U.

Unit hydrographs for 366 watersheds in northern Cyprus, with land cover and soil data in GIS, give a dimensionally homogeneous formula for peak unit discharge at ungauged sites, mean relative error 11.97 percent.

Environmental Earth Sciences 80, article 42 8 January 2021
Figure from “Accurate tide level estimation: A deep learning approach”2020

Accurate tide level estimation: A deep learning approach

Riazi, A.

A compact deep network estimates tide level from the forces and factors that produce the tide rather than fitting a curve to one site’s record, so a single network serves different beaches.

Ocean Engineering 198, article 107013 15 February 2020
Figure from “Improved drag coefficient and settling velocity for carbonate sands”2020

Improved drag coefficient and settling velocity for carbonate sands

Riazi, A., Vila-Concejo, A., Salles, T., & Türker, U.

A drag coefficient for carbonate sand accounting for both friction and pressure, explaining settling velocities from 0.025 to 0.364 m/s and shifting sediment transport enough to warrant revising the numerical models.

Scientific Reports 10, article 9465 2020
Figure from “Estimating the weight and the failure load of a spaghetti bridge”2020

Estimating the weight and the failure load of a spaghetti bridge: a deep learning approach

Riazi, A., Karmo, D., Shikh Ibrahim, M. A., & Amadou, S.

A three-hidden-layer neural network, optimized by genetic algorithm, estimates the weight and the failure load of a spaghetti bridge from an image of it.

Journal of Experimental & Theoretical Artificial Intelligence 32 (5) 2020
Figure from “Genetic algorithm and a double-chromosome implementation to the traveling salesman problem”2019

Genetic algorithm and a double-chromosome implementation to the traveling salesman problem

Riazi, A.

A double-chromosome representation for the traveling salesman problem that produces legal tours without a repair algorithm, converging on short tours across a range of test cases.

SN Applied Sciences 1, article 1397 14 October 2019
2019

Stepped Spillways and Energy Dissipation: A Non-Uniform Step Length Approach

Ashoor, A., & Riazi, A.

InterFOAM simulations of non-uniform stepped spillways in skimming flow: a 1:3 ratio between successive step lengths sets up vortex interference between adjacent cavities and raises energy dissipation by up to 20 percent.

Applied Sciences 9 (23), 5071 2019
Figure from “The drag coefficient and settling velocity of natural sediment particles”2019

The drag coefficient and settling velocity of natural sediment particles

Riazi, A., & Türker, U.

Redefines the drag coefficient from nominal diameter, gravity, kinematic viscosity and particle shape rather than Reynolds number, improving estimates by about 3.8 percent and carrying shape directly into the settling velocity equation.

Computational Particle Mechanics 6, 427–437 17 January 2019
Figure from “A genetic algorithm-based search space splitting pattern”2018

A genetic algorithm-based search space splitting pattern and its application in hydraulic and coastal engineering problems

Riazi, A., & Türker, U.

A search space splitting pattern that keeps a genetic algorithm simple while covering the whole space, tested on Levy No. 5 and on Manning’s equation, equilibrium beach profiles and settling velocity.

Neural Computing and Applications 30, 3603–3612 2018
2017

Equilibrium beach profiles: erosion and accretion balanced approach

Riazi, A., & Türker, U.

A boundary-based profile scale factor, normalized to one global value, gives an initial linear profile whose erosion and accretion balance marks a turning point and shows whether the profile is in equilibrium.

Water and Environment Journal 31 (3) August 2017
§ 02.2

Conference papers

3 papers
2026

A Modular UAV-Based Framework for Apple Detection and Yield Extrapolation from 3D Point Clouds

Nguyen, K., Patel, D. J., Nguyen, T., Tran, N., Riazi, A., Lauer, J. W., Bae, W. D., et al.

A modular pipeline for UAV point clouds: color-based segmentation, then regression and DBSCAN clustering for apple counts, with bounding box, sphere and ellipsoid fits for per-fruit volume and field-level yield. Regression reaches R² about 0.99 against annotated counts.

SAC ’26 · 41st ACM/SIGAPP Symposium on Applied Computing Pages 788–797 2026
Figure from “Using Topological Analysis to Investigate True and False Information Diffusion”2022

Using Topological Analysis to Investigate True and False Information Diffusion

Riazi, A., & Wang, Y.

Reads the topology of Twitter retweet networks and finds that human and bot accounts follow different patterns when spreading true stories and when spreading false ones.

International Conference on Computational Science and Computational Intelligence (CSCI) Proceedings December 2022
2021

Cyprus Beaches in the Context of Parabolic Bay Shaped Beach Model

Layeghi, R., Riazi, A., & Türker, U.

Tests the parabolic bay shape approach, and two modifications of it, against the headland bay coastlines of eastern Cyprus, where dam construction has cut off river sediment; most are static, and headland extensions are proposed where diffraction points leave a coast unstable.

Climate Change, Natural Resources and Sustainable Environmental Management Conference paper NRSEM 2021

Also indexed at Google Scholar, ORCID, and ResearchGate

Collaboration

Send over the question and whatever data you have on hand. I’ll give you a straight answer on whether there’s a paper in it.

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Joint work · Supervision · Peer review · Seattle, Washington