Anthony Bisulco
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Anthony Bisulco

Anthony Bisulco

Computational Engineer


Background


About

About

Experienced Computational Engineer with a demonstrated history of working in higher education & private industry. Strong research professional with a Master of Engineering (MEng) in Electrical and Computer Engineering from Cornell University and a Bachelor of Science (BS) focused in Electrical and Computer Engineering from Northeastern University.

Work Experience

Work Experience

  • Machine Learning ResearcherSamsung Research America

    Jul, 2019 - Present

    Samsung AI Center in New York invents ground breaking technologies to solve challenging problems at the intersection of AI and robotics

    • Developed a FPGA accelerator using HLS and Chisel for low-bandwidth pedestrian detection on edge devices using neuromorphic vision sensors

    • Implemented laboratory infrastructure: code management, compute cluster management and networking

    • Implemented a distributed hyperparameter tuning solution for QXplore: a novel exploration based reinforcement learning algorithm

  • Research ScientistBrookhaven National Laboratory

    Jun, 2018 - Aug, 20182 months

    Departement of Energy National Laboratory. I worked on the sPhenix(particle detector) experiment on the Relativistic Heavy Ion Collider

    • Developed fast Python Time of Flight(TOF) signal processing algorithms for a 10ps TOF detector

    • Implemented Python parameter optimization algorithms using Dask(distributed computing library)

    • Designed a constant fraction discriminator algorithm to reduce TOF electronics’ delay from 64ps to 8ps

  • Embedded Software Engineering InternGoogle Research and Machine Intelligence

    Jul, 2017 - Dec, 20175 months

    Worked on the AIY projects team at Google. Developed AIY vision kit an on-device neural network accelerator for computer vision

    • Applied transfer learning in Tensorflow to retrain models for audio and image recognition on embedded devices

    • Assisted in rapid prototyping/full scale manufacturing process of developing

    • Traveled internationally/nationally for demoing and marketing AIY kits to distributors

  • Systems Integration EngineerSingh Robotics Laboratory

    Jan, 2017 - May, 20181 year 4 months

    Northeastern University research laboratory working on field robotics.

    • Implemented a visual-based navigation technique for GPS denied urban areas using computer vision

    • Integrated Velodyne LIDAR and 5 Point Grey Cameras into ROS for light field array

    • Developed a mobile manipulation platform focusing on visual navigation/manipulation using the UR-10 ma-nipulator, Point Grey Cameras and the Warthog robot platform

  • ResearcherNortheastern University Sensing, Imaging, Control and Actuation Laboratory

    Sep, 2014 - May, 20183 years 8 months

    Northeastern University research laboratory working on coded and compressive sensing imaging.

    • Developed an FPGA control system for a multiple-input multiple-output radar system with 400 channels

    • Implemented simulated annealing and compressive sensing methods for a coded imaging system

    • Implemented a fused millimeter/infrared imaging system for target validation

  • ATLAS Systems EngineerEuropean Organization for Nuclear Research (CERN)

    Sep, 2016 - Dec, 20163 months

    International particle physics laboratory working at probing the inner structure of matter.

    • Developed array synthesis algorithms for multi-anode photomultiplier tubes for increased sensor resolution

    • Designed and 3D printed a fiber light guide for 85% increased sensor coverage of the photomultiplier tube

    • Built Spectrum a web application for laboratory simulation and experimental data comparison

    • Presented at an International Collaboration Conference on Tile Calorimeter Upgrades

  • Summer ResearcherMassachusetts Institute of Technology Lincoln Laboratories

    May, 2015 - Aug, 20153 months

    Federally Funded Research and Development center working on engineering projects in the interest of national security.

    • Adapted MATLAB image processing algorithms to an FPGA for a UAV Micro-LIDAR

    • Developed and implemented a configurable FPGA moving average filter for Avalanche Photo Diodes (APD)

    • Performed sensor characterization on APDs under varying temperature and voltage conditions

Education

Education

  • Electrical and Computer Engineering, Master of Engineering, Cornell Tech

    Aug, 2018 - May, 2019

    Statistical Signal Processing and Reinforcement LearningAdaptive Signal Processing and Digital Feedback ControlNatural Language ProcessingBayesian Estimation and Learning
  • Electrical and Computer Engineering, Bachelor of Science, Northeastern University

    Sep, 2014 - May, 2018

    3.97
    Machine LearningLinear SystemsRobotics Sensing and NavigationBiomedical Imaging
Awards

Awards

  • Eagle Scout Boy Scouts of America

    Awarded on: Nov 01, 2014

Volunteer Work

Volunteer Work

  • Tactical Communications, Boston Athletic Association

    Jun, 2016 - Jun, 2018

    Perform medical communications over amateur radio for the Boston Marathon

  • Volunteer, Boston Public Schools

    Sep, 2014 - May, 2016

    Taught various classes on the weekend about digital design and embedded systems to high schools students. Also, worked with students during Friday field trips on environmental conservation activities

Publications

Publications

Interests

Interests

  • Personal

    TravelingHikingBoatingPhotographyCooking