Computational Research and Modeling

IAD is an international leader in creating, curating and disseminating data and computing-related knowledge and skills.

Here is where we meet the demand for skilled workers who can thrive in the rapidly evolving fields of information technology and data science.

IAD integrates UB’s strong interdisciplinary graduate programs with its nationally recognized supercomputing facility, the Center for Computational Research (CCR).

Current Research Projects

A Multiscale Morphing Continuum Analysis of Energy Cascade of Compressible Turbulence
7/16/26
The goal of this project is to construct a statistical morphing continuum theory to model the complex and non-equilibrium physics of microstructured eddies in compressible turbulence.
A Three Population Three Scale Cellphone Based Network Model to Assess Disease Dispersion
7/16/26
The goal is to use mobile phone data to analyze mobile behaviors in order to simulate the dispersion of influenza in populations.
Cancer Moonshot Immuno-Oncology Translational Network (IOTN)
7/16/26
The IOTN is designed to accelerate the generation of novel mechanism-driven immune-based cancer prevention and therapies, and the development of safe and effective personalized immuno-oncology approaches.
Data Methods, Emulators, and Material Properties
7/16/26
Data informatics methods can aid scientists in discovering and rapidly identifying pathways for materials discovery. Integrating statistical and geometric methods together with computational simulations, these methods can guide experimental strategies, providing robust interpretations of results, and guiding further experimentation.
Design of Experiments for Chemical Kinetics Studies
7/16/26
Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be predicted before experiments in a laboratory are conducted.
Ecosystem Monitoring for Management Application (EMMA)
7/16/26
This project proposes to develop an operational system and tools for monitoring the vegetation state of a fire-prone shrubland ecosystem.
Electro-Mechanical Coupling in Triboelectric Nanogenerators
7/16/26
The ultimate goal of this project is to understand the fundamentals of triboelectrification through a first-principles investigation, both experimentally and theoretically.
GeoAI for Location Understanding and Extraction (GLUE)
7/16/26
The objective of this project is to understand how people describe locations on social media during natural disasters.
Geotechnology Experiences for Students and Teachers
7/16/26
The project engages high school students in high-need and high-potential school districts with cutting-edge web GIS knowledge and skills in order to encourage them to pursue STEM careers.
High-Performance Modeling in the Chemical and Material Sciences
7/16/26
Our overall research program deals with timely societal challenges in energy, water, and environment. A point of emphasis is the efficient and cost-effective conversion of solar energy to electrical and chemical energies.
Pacific Ring of Fire Project
7/16/26
This proposal leverages the data-driven model design, high-performance computing, and three-dimensional (3D) virtual reality to construct unprecedented high-resolution 3D models of the Pacific Rim of Fire. The 3D numerical simulations of the Pacific Rim of Fire will investigate a new class of volcanoes that occur at the edges of subduction zones, rather than typical arc volcanoes located above the subducted plate. In addition, the numerical simulations will examine the dimensions of slab-driven mantle flow, addressing outstanding questions of coupling between the tectonic plates and the Earth’s mantle.
Scalable Non-linear Dimensionality Reduction Methods to Accelerate Scientific Discovery
7/16/26
This project will develop new efficient methods to help scientists and engineers, especially in manufacturing and robotics, to simplify complex data such that dynamic processes underlying the data can be better represented, understood and controlled.
Socio-Spatial Approaches to the Analysis of Multilingualism
7/16/26
This project will use GIS and individual-level data to understand the relationship between spatial, social, and cultural factors in accounting for individuals’ linguistic knowledge.
Trapping Properties of Ag/SSZ-13 Zeolite: Modeling Adsorption Capacity
7/16/26
This project aims to improve the trapping of materials to prevent greenhouse gases from being released before a vehicle’s catalytic converter activates during start-up.
Using Precursor Information to Update Probabilistic Hazard Maps
7/16/26
Responding to an impending hazard means that time is limited, so analysis and decision-making must proceed on an accelerated timetable. Modeling, numerical simulation, leading to predictive capacity, play an important role during this pre-event timeframe. This project will seek to combine different data sources, to make quantifiable statistical predictions that can be used by civil protection authorities to inform decision-making.