ELogs/Febian: Difference between revisions
< ELogs
(→To Do) |
|||
(20 intermediate revisions by the same user not shown) | |||
Line 4: | Line 4: | ||
''Last updated 22/07/24’’ | ''Last updated 22/07/24’’ | ||
*Coding FPGA to interface the new daughter board utilising Zmod Port | *Coding FPGA to interface the new daughter board utilising Zmod Port | ||
*Curve Fitting inside FPGA | |||
== | == Dates and Progress == | ||
{| class="wikitable" | {| class="wikitable" | ||
Line 21: | Line 20: | ||
|8 January 2024 || Starting Industrial Project with Peak.AI | |8 January 2024 || Starting Industrial Project with Peak.AI | ||
|- | |- | ||
|18 - 31 January 2024 || | |18 - 31 January 2024 || Away for family vacation in US | ||
|- | |- | ||
|21 - 23 February 2024 || Valencian Proton Therapy Facility Workshop | |21 - 23 February 2024 || Valencian Proton Therapy Facility Workshop | ||
Line 28: | Line 27: | ||
|- | |- | ||
|30 April - 1 May 2024 || Beam Test at UCLH: Quarc, Temperature (NPL) and Pixel Sensor (Birmingham) | |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 | |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 | |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== | ==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). | |||
*CDT DISI Partner Event Fall | |||
**Created an A0 Poster on what will be done throughout the PhD journey | |||
**Presenting a 2 minutes spotlight talk to industrial partner | |||
*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 | *Beam Testing at UCLH | ||
Line 43: | Line 98: | ||
**Marking the USB-C configuration (which side to plug) | **Marking the USB-C configuration (which side to plug) | ||
**Testing supply voltage in each node of DaQ | **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 | *Setting up data acquisition process on MacBook M2 Chips | ||
Line 55: | Line 110: | ||
*Modules Completed: | *Modules Completed: | ||
**PH4515 Statistics Course Royal Holloway | **PH4515 Statistics Course Royal Holloway (Mathematical theory behind ML) | ||
**PHAS0102 High-Performance Computing | **PHAS0102 High-Performance Computing (GPU optimisation) | ||
**COMP0233 Research Software using Python | **COMP0233 Research Software using Python (Basic Python and Colaborative work) | ||
**MPHY0038 Treatment Radiation | **MPHY0038 Treatment Radiation (Radiotherapy theory and highlights) | ||
**COMP0210 Research Computing with C++ | **COMP0210 Research Computing with C++ (C++ introduction) | ||
**SPCE0038 Machine Learning with Big Data | **SPCE0038 Machine Learning with Big Data (Using python to implement ML algorithm on big data) |
Latest revision as of 15:41, 18 October 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’’
- Coding FPGA to interface the new daughter board utilising Zmod Port
- Curve Fitting inside FPGA
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).
- CDT DISI Partner Event Fall
- Created an A0 Poster on what will be done throughout the PhD journey
- Presenting a 2 minutes spotlight talk to industrial partner
- 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)