Research Scientist/Engineer at Aspera, an IBM company
• Developed fluid dynamical models to simulate the fumigation process in grain bunkers using Ansys Fluent • Developed fluid dynamical models to simulate the fumigation process in grain bunkers using Ansys Fluent
What company does Shuo Zeng work for?
Shuo Zeng works for Center for Grain and Animal Health Research
What is Shuo Zeng's role at Center for Grain and Animal Health Research?
Shuo Zeng is Postdoctoral Researcher
What industry does Shuo Zeng work in?
Shuo Zeng works in the Computer Networking industry.
Postdoctoral Researcher @ Center for Grain and Animal Health Research • Developed fluid dynamical models to simulate the fumigation process in grain bunkers using Ansys Fluent From May 2015 to August 2015 (4 months) Manhattan, KSResearch Scientist/Engineer @ Aspera, an IBM company Deep learning R&D:• Leading a machine learning project, using deep-learning techniques to identify faulty/sub-normal FASP transfer sessions by analyzing time-series data• Built ML pipeline from scratch and currently transitioning to TFX based pipelinepipeline components include: data preprocessing, visualization, hyper-parameter-tuning and model validation• Researched semi-supervised learning techniques and applied Ladder network to solve data scarcity issue• Researched and applied multiple unsupervised methods to detect transfer anomaly• Implemented simple bokeh-based interactive server to deploy models as an internal network diagnosis toolComputer network R&D:• Research on bulk data transfer protocol FASP (FAST TCP-based transport layer protocol) and network congestion control algorithms• Inventedanddeployedapredictiveapproachtostabilizecongestioncontrolsystemandenhancethe transfer performance by taking account of the feedback-delay effect (patent pending)• Inventedanddeployedaequation-basedcongestionalgorithmtoimprovescalabilityandrobustness, especially in restricted network environments• Collaborated with core engineers to integrate multiple control modules into various products.• Improved the existing base-latency discovery algorithm for transfer session recovery in the occurrence of network glitch• Collaborated with external team, including Netflix, INMARSAT, for performance testing and technical reports• Developed equation-based simulation tool to investigate FASP rate-control dynamics• Developed network testbed and peripheral tools to facilitate network research• Experimented and benchmarked TCP variants and other competitive products, including TCP Reno, TCP Cubic, Google BBR Emeryville, CAGraduate research assistant @ Kansas State University High-performance computing :• Implemented efficient parallel codes in Fortran using OpenMP for solving coupled differential equations• Formulated multiple non-uniform discretization grids to solve partial differential equations, such as finitedifference, finite-element-discrete-variable-representation, etc.• Applied multiple numerical algorithms for various mathematical problems such as Crank-Nicolson, Lanczos (time-propagation for PDE), cubic spline, AKIMA (Interpolation), FFT (Fourier analysis), LU-decomposition (matrix diagonalization), Gaussian quadrature (numerical integration), etc.• Optimize memory/cache usage for better performance on CPU and co-processors such as Intel Xeon Phi and Nvidia GPUAcademic research:• Studied gaseous molecular dynamics in a femtosecond pulsed laser field by solving 3D Schrödinger equations(first order differential equation)• Successfully predicted and observed laser-controlled photodissociation in collaboration with the KSU experimental group and the Institute for Optics and Quantum Electronics, Jena, Germany From June 2008 to May 2015 (7 years)
Extraversion (E), Sensing (S), Feeling (F), Judging (J)
3 year(s), 8 month(s)
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