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si=sQ4mFtC0yfFmHa7I Designed and deployed wrist-worn DNN-based gesture recognition systems - Delivered a general zero-shot 12 gestures model, with 95%+ accuracy, a significant enhancement from the former version has limited 80% accuracy for only 4 gestures and requires per user training session - Reviewed cutting-edge AI research papers and deployed in CoolSo's technology stack - Designed and trained DNN models with PyTorch and PyTorch Lightning - Enhanced models via transfer learning, augmentation, and parallel training - Developed C++ / Python SDK and deployed DNN models on Android and Linux / Windows. Digital Marketing and Advertisement (Volunteer
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Imprimer

Kuo-Lun Tai (Gordon)

Email : [email protected] - Phone:+886(0)921859681
Current Location: Hsinchu, Taiwan

3 years of work experience at TSMC, PhD in material science

  • 2 years of experience in N3 FinFET source drain epitaxy process development
  • 1.3 years of experience in material selection for next-generation EUV mask 
  • Ph.D major in 2D material synthesis and characterization
  • Proficient in English (IELS 7.5) 
  • Open to relocation

Work Experience

Section Manager  •  TSMC

Mar. 2024 - present

Led a 3-member team to develop next-generation EUV mask and pellicle materials.

RD mask engineer  •  TSMC

Nov. 2022 - Mar. 2024

EUV mask material development

1) Selected materials via optimizing optical properties and evaluating mask process feasibility for next-generation EUV (extreme ultraviolet lithography) mask. Published research result in 2023 SPIE with best paper award and filed related patent in USPTO. 

2) Led and coordinated universities (NYCU/NTHU), research institutions (ITRI/NSRRC), and suppliers to fabricate EUV mask blank. 

3) Collaborated cross-departmentally to develop mask etch and repair process for in-house wafer exposure verification. 

Front-end RD process engineer  •  TSMC

Nov. 2020 -  Nov. 2022 

CVD Epitaxy process development
1) Boosted wafer yield and device performance by 1.5% by CVD process paramter optimization for the N3/N3E FinFET source/drain.  

2) Collaborated cross-functionally and developed a machine-learning-based methodology for CVD Epitaxy process control.



                                                              1


Education


National Chiao Tung University (NYCU)

Department of Materials Science and Engineering

  2011.09 - 2015.06 Bachelor's 

2015.09 - 2020.09

 Ph.D.

University of Oxford

Department of Materials

2019.07 - 2020.08

Recognised Student

Skills 

2D materials (Academic/PhD major)

1) Chemical vapor deposition (CVD) synthesis and transfer for 2D transition metal dichalcogenides

2) Nanoscale characterization methodology : STEM/TEM, SEM, AFM, Raman, and PL

P-type Source Drain Epitaxy for FinFET

1)  Wafer-scale CVD process to boost device performance and yield for TSMC N3/N3E FinFET 

2) Machine-learning-based methodology to achieve auto process control 

3) Optimization of process control via SPC charts, basic JMP statistic and DoEs (Design of Experiments)

Next generation EUV mask material 

1) Physical vapor deposition (PVD) of alloy material   

2) Material Characterization methodology : TEM, AFM, XRR, XPS, XRD

3) RIE and E-beam repair process development for mask patterning  

Awards

1) 25th Lam Research Taiwan thesis Award : Honorable mention, Atomic-Scale Characterization of Heterophases and Defects in 2D Van Der Waals Transition Metal Dichalcogenides 

2) 2023 SPIE Photomask Technology BACUS Prize 2nd place, EUV APSM mask prospects and challenges

3) 2023 TSMC EBO Best Engineer Award


                                                                          2


Selected Publications

1) Shy-Jay Lin, Chien-Min Lee, Yen-Liang Chen, Lee-Feng Chen, Kuo-Lun Tai, Chien-Chao Huang, Frankie F. G. Tsai, “EUV APSM mask prospects and challenges,” SPIE Photomask Technology 2023.

2) Kuo-Lun Tai, Jun Chen, Yi Wen, Hyoju Park, Qianyang Zhang, Yang Lu, Ren-Jie Chang, Peng Tang, Christopher S. Allen, Wen-Wei Wu*, and Jamie H. Warner.* “Phase Variations and Layer Epitaxy of 2D PdSe2 Grown on 2D Monolayers by Direct Selenization of Molecular Pd Precursors,”  ACS Nano 2020.  

3) Kuo-Lun Tai, Chun-Wei Huang, Ren-Fong Cai, Guan-Min Huang, Yi-Tang Tseng, Jun Chen and Wen-Wei Wu.“Atomic-Scale Fabrication of In-Plane Heterojunctions of Few-Layer MoS2 via In Situ Scanning Transmission Electron Microscopy,” Small, 2020. 






















                                                                           3


Resume
Profile

Kuo-Lun Tai (Gordon)

Email : [email protected] - Phone:+886(0)921859681
Current Location: Hsinchu, Taiwan

3 years of work experience at TSMC, PhD in material science

  • 2 years of experience in N3 FinFET source drain epitaxy process development
  • 1.3 years of experience in material selection for next-generation EUV mask 
  • Ph.D major in 2D material synthesis and characterization
  • Proficient in English (IELS 7.5) 
  • Open to relocation

Work Experience

Section Manager  •  TSMC

Mar. 2024 - present

Led a 3-member team to develop next-generation EUV mask and pellicle materials.

RD mask engineer  •  TSMC

Nov. 2022 - Mar. 2024

EUV mask material development

1) Selected materials via optimizing optical properties and evaluating mask process feasibility for next-generation EUV (extreme ultraviolet lithography) mask. Published research result in 2023 SPIE with best paper award and filed related patent in USPTO. 

2) Led and coordinated universities (NYCU/NTHU), research institutions (ITRI/NSRRC), and suppliers to fabricate EUV mask blank. 

3) Collaborated cross-departmentally to develop mask etch and repair process for in-house wafer exposure verification. 

Front-end RD process engineer  •  TSMC

Nov. 2020 -  Nov. 2022 

CVD Epitaxy process development
1) Boosted wafer yield and device performance by 1.5% by CVD process paramter optimization for the N3/N3E FinFET source/drain.  

2) Collaborated cross-functionally and developed a machine-learning-based methodology for CVD Epitaxy process control.



                                                              1


Education


National Chiao Tung University (NYCU)

Department of Materials Science and Engineering

  2011.09 - 2015.06 Bachelor's 

2015.09 - 2020.09

 Ph.D.

University of Oxford

Department of Materials

2019.07 - 2020.08

Recognised Student

Skills 

2D materials (Academic/PhD major)

1) Chemical vapor deposition (CVD) synthesis and transfer for 2D transition metal dichalcogenides

2) Nanoscale characterization methodology : STEM/TEM, SEM, AFM, Raman, and PL

P-type Source Drain Epitaxy for FinFET

1)  Wafer-scale CVD process to boost device performance and yield for TSMC N3/N3E FinFET 

2) Machine-learning-based methodology to achieve auto process control 

3) Optimization of process control via SPC charts, basic JMP statistic and DoEs (Design of Experiments)

Next generation EUV mask material 

1) Physical vapor deposition (PVD) of alloy material   

2) Material Characterization methodology : TEM, AFM, XRR, XPS, XRD

3) RIE and E-beam repair process development for mask patterning  

Awards

1) 25th Lam Research Taiwan thesis Award : Honorable mention, Atomic-Scale Characterization of Heterophases and Defects in 2D Van Der Waals Transition Metal Dichalcogenides 

2) 2023 SPIE Photomask Technology BACUS Prize 2nd place, EUV APSM mask prospects and challenges

3) 2023 TSMC EBO Best Engineer Award


                                                                          2


Selected Publications

1) Shy-Jay Lin, Chien-Min Lee, Yen-Liang Chen, Lee-Feng Chen, Kuo-Lun Tai, Chien-Chao Huang, Frankie F. G. Tsai, “EUV APSM mask prospects and challenges,” SPIE Photomask Technology 2023.

2) Kuo-Lun Tai, Jun Chen, Yi Wen, Hyoju Park, Qianyang Zhang, Yang Lu, Ren-Jie Chang, Peng Tang, Christopher S. Allen, Wen-Wei Wu*, and Jamie H. Warner.* “Phase Variations and Layer Epitaxy of 2D PdSe2 Grown on 2D Monolayers by Direct Selenization of Molecular Pd Precursors,”  ACS Nano 2020.  

3) Kuo-Lun Tai, Chun-Wei Huang, Ren-Fong Cai, Guan-Min Huang, Yi-Tang Tseng, Jun Chen and Wen-Wei Wu.“Atomic-Scale Fabrication of In-Plane Heterojunctions of Few-Layer MoS2 via In Situ Scanning Transmission Electron Microscopy,” Small, 2020. 






















                                                                           3