ELogs/Febian

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

Dates and Progress

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	Away for 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)
14 & 17 May 2024	Science Communication Workshop
8 - 17 June 2024	PTCOG62 Annual Conference in Singapore
17 - 30 June 2024	Away on Vacation in Indonesia
14 - 19 July 2024	STFC Summer School in Data Intensive Science Liverpool
9 - 12 Sep 2024	Phystat - Statistic meet Machine Learning Workshop, Imperial College London
26 Aug - 27 Sep 2024	DKFZ 6th Summer School in Medical Physics
18 - 19 Oct 2024	HITRI Hadron Therapy Workshop: Status and Plans for Future
24 Oct 2024	CDT DIS Partner Event Fall - Spotlight talk and poster

PhD Completed

This section highlights the events/activities that have been done throughout the PhD. It also includes what have been learned and important key takeaways (From the most recent to the oldest one).

• Curve Fitting on FPGA started
  • Fittings started on Linear Regression application
  • Discuss and seek for guidance from Naoki - suggested to check HLS4ML and Vitis

• Hadron Therapy Workshop status and perspectives, plans for next generation facilities (Remote)

• Phystat - Statistics meets Machine Learning Workshops by Imperial College London (Online)
  • Various algorithm, statistical model and Machine Learning application in HEP and Astrophysics world
  • Discussion on interpretability, data sources, samples relevance, and mismodelling.

• DKFZ 6th Summer School in Medical Physics.(Online)
  • Recapped on Radiobiology and particle interactions
  • Scintillators and luminescent materials for detector
  • Monte Carlo Simulation

• Initiate the creation of PBT Group Github organisation for Collaborative workspace.

• Practical FPGA and Implementation in Vivado
  • Installation and run through the current Nexys Video 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)
  • Creating a github repository on the FPGA end-to-end guide on debugging and implementation
  • Learning on Hierarchical programming and IP components in Vivado
  • Learning FTDI (USB driver management)

• 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

• Science Communication Workshop
  • Tips for good presentation slides and skills
  • Body language impact on communication

• 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)