ELogs/Febian: Difference between revisions

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==PhD Completed==
==PhD Completed==
*Practical FPGA and Implementation
**Installation and run through the current FPGA code for DaQ (assisted by Matt)
**Follow through the STFC Training books for RTL to FPGA Basics.
**Implementation of FPGA code on easy applications (LED and Gates)


*STFC Summer School in Liverpool:
*STFC Summer School in Liverpool:

Revision as of 12:18, 22 July 2024

This is Febian's Electronic Log in completing PhD at UCL from September 2023 to September 2027

To Do

Last updated 22/07/24’’

  • Upcoming Event
    • DKFZ 6th Summer School
  • Coding FPGA to interface the new daughter board utilising Zmod Port

Upcoming Dates

Date Event
2 October 2023 Starting PhD Journey in PBT Group at UCL
9 November 2023 MAThRAD 2nd Workshop at Teddington
8 January 2024 Starting Industrial Project with Peak.AI
18 - 31 January 2024 Annual Leave (Family Vacation in US)
21 - 23 February 2024 Valencian Proton Therapy Facility Workshop
25 April 2024 CDT Industrial Partner Presentations (Peak.AI)
30 April - 1 May 2024 Beam Test at UCLH: Quarc, Temperature (NPL) and Pixel Sensor (Birmingham)
8 - 17 June 2024 PTCOG62 Annual Conference in Singapore
14 - 19 July 2024 STFC Summer School in Data Intensive Science Liverpool

PhD Completed

  • Practical FPGA and Implementation
    • Installation and run through the current FPGA code for DaQ (assisted by Matt)
    • Follow through the STFC Training books for RTL to FPGA Basics.
    • Implementation of FPGA code on easy applications (LED and Gates)
  • STFC Summer School in Liverpool:
    • Networking with people from the same cohort
    • Highlighting session about: Neural Network, Clustering and Data Visualisation, Publishing Code
  • PTCOG62 Conference in Singapore
    • Education session includes medical aspects of PBT, standard procedure in QA, etc
    • Open source data/tools and AI discussion in PBT
    • Networking with people from the same field of research
  • Beam Testing at UCLH
    • Helping and learn logical step by step set up
    • Taking notes of the experiments taken
  • Data Acquisition Process and Plotting the data using the provided code by Sonia
    • Marking the USB-C configuration (which side to plug)
    • Testing supply voltage in each node of DaQ
    • Formulating consistent working DaQ with the latest Matt Version FPGA code
  • Setting up data acquisition process on MacBook M2 Chips
  • Testing and Categorising types of different USB-C 3.x Cable regulating in the market
    • 16 Cable was tested and 3 general classification of USB-C 3.x were found
  • Doing literature review as part of MPHY0038 Assignment on IMPT and the emergence of AI in the field.
  • Reading Saad (Previous PhD student) Thesis
  • Modules Completed:
    • PH4515 Statistics Course Royal Holloway (Mathematical theory behind ML)
    • PHAS0102 High-Performance Computing (GPU optimisation)
    • COMP0233 Research Software using Python (Basic Python and Colaborative work)
    • MPHY0038 Treatment Radiation (Radiotherapy theory and highlights)
    • COMP0210 Research Computing with C++ (C++ introduction)
    • SPCE0038 Machine Learning with Big Data (Using python to implement ML algorithm on big data)