ELogs/Febian: Difference between revisions
< ELogs
Line 47: | Line 47: | ||
*Phystat - Statistics meets Machine Learning Workshops by Imperial College London (Online) | *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) | *DKFZ 6th Summer School in Medical Physics.(Online) | ||
** | **Recapped on Radiobiology. | ||
**Scintillators and luminescent materials for detector | |||
**Monte Carlo Simulation | |||
*Initiate the creation of PBT Group Github organisation for Collaborative workspace. | *Initiate the creation of PBT Group Github organisation for Collaborative workspace. |
Revision as of 13:46, 11 September 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
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 |
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.
- 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.
- 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)