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UMass Lowell Hosts 2022 HPC Day

September 26, 2022

The HPC Day conference series provides a showcase of computational research in science, engineering, and computer science research being carried out in the New England area. After a three-year pandemic hiatus, researchers gathered on September 9, 2022, at UMass Lowell for all things HPC.
Talks at this year’s meeting included:

Ayse Kivilcim Coskun, Department of Electrical and Computer Engineering, Boston University
Artificial Intelligence (AI) for High Performance Computing (HPC) Analytics 

Carole-Jean Wu, Research Scientist and Technical Lead Manager, Meta
Sustainable AI: Environmental Implications, Challenges and Opportunities

Sarah Caudill, UMass Dartmouth
Hidden Masses: The next frontier in observational gravitational-wave astronomy

Fanglin Che, UMass Lowell (UML)
Investigations of Electric Field Effects on Catalysis: A Combination of Deep Learning Models and Multi-Scale Simulations

Isaac Ginis, University of Rhode Island (URI)
Coastal Hazards, Analysis, Modeling, and Prediction for Emergency Management and Response

Aswin Gnanaskandan, Worcester Polytechnic Institute (WPI)
High-fidelity multiphase flow simulations using HPC

Daniel Haehn, UMass Boston
Processing of Massive Biological Datasets at UMass Boston

Francisco Hung, Northeastern University
Molecular Simulation of Deep Eutectic Solvents and Lipid Nanoparticles for Gas Separations and Drug Delivery

Markos Katsoulakis, UMass Amherst
Information divergences and optimal transport for enhanced generative modeling

Jill Moore, UMass Chan Medical School
From nucleotides to neural networks: studying gene regulation in the era of “big data”

Poster presentations:

  • Leticia Adao Gomes
    Northeastern University
    Discovery of novel organic photoredox catalyst with high-throughput virtual screening
  • Daniel Adrion
    Northeastern University
    Non-Adiabatic Molecular Dynamics Simulations Reveal the Mechanism of Decarbonylation in Complex Environments
  • Zhen Chen
    Dartmouth College
    Data-Driven Modeling of Structured Systems
  • Bosu Choi
    Dartmouth College
    Data Split for Cross-Validation in the Parameter Selection of Regularized Inverse Problems
  • Cecile Cres
    University of Rhode Island
    DL-TODA: A Deep Learning Tool for Omics Data Analysis
  • Sam DeLap
    UMass Lowell
    Applying Machine Learning Principles to X-Ray Reconstruction of Moving Morphology (XROMM)
  • Jihun Han
    Dartmouth College
    A Neural Network Approach for Homogenization of Multiscale Problems
  • Mohammad Amin Kiani
    UMass Lowell
    Development of catalyst screening workflow based on electronic structure calculations
  • Tongtong Li
    Dartmouth College
    Improving numerical accuracy for the viscous-plastic formulation of sea ice
  • Prabath Meemaduma
    UMass Lowell
    Comparative transcriptomic studies of the slow and fast twitch muscles.
  • Uzezi Okinedo
    UMass Boston
    Evidence of Local adaptation in Silver Leaf sunflower using gene network connectivity.
  • Christian Salguero
    Northeastern University
    Multiconfigurational non-adiabatic molecular dynamics towards photochemical-N2-extrusion reactions in borodiazenes
  • Ephraim Simasiku
    UMass Lowell
    Variational Multiscale Finite Element Modeling of Plasma-on-Liquid Interaction
  • Dilruba Sofia
    UMass Amherst
    Patient-Specific Mathematical Model of Clear Cell Renal Cell Carcinoma Microenvironment
  • Mark Ivan Ugalino
    UMass Dartmouth
    Turbulently driven detonations in near-Chandrasekhar mass white dwarfs
  • Mingyu Wan
    UMass Lowell
    Hybrid Organic-Inorganic SAM/Cu Interfaces Drive CO2 Capture and Conversion
  • Yuting Xu
    UMass Lowell
    Renewably-Powered CO2 Recycling for Net-Zero-Carbon On Demand Fuel Generation
  • Zhengyang Yang
    UMass Lowell
    Self-Assembled Monolayers for Electrocatalysis: A Theoretical Study of CO2 Reduction Reaction to CO over Ag
  • Wentong Zhou
    UMass Lowell
    Computational study on reactivity of graphene surface catalyzed by transition metals
  • Ryan Zurrin
    UMass Boston
    Creating The World’s Largest Mammography Database

Story image – Photo credit: Christopher Hill

Related Links

UMass Lowell Hosts 5th Annual HPC Day MGHPCC News
Northeastern University Hosts 4th Annual HPC Day MGHPCC News
UMass Dartmouth Hosts 3rd Annual HPC Day MGHPCC News
UMass Dartmouth Hosts the Second Statewide HPC Day MGHPCC News

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute – Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer – Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) – a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer’s Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
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