BIMSA > 托马斯·韦特雷·图路
博士后 托马斯·韦特雷·图路

团队: 统计、概率和数据科学

办公室: A3-4-103

邮箱: thomaswetere@bimsa.cn

研究方向: 数据科学

CV

个人简介

Dr Thomas Wetere Tulu received his PhD from Harbin Institute of Technology(HIT) in Engineering Mathematics and worked at City University of Hong Kong(Hong Kong), Yildiz Technical University(Turkey), University of Macau(Macau), China CDC(Beijing), Addis Ababa University(Ethiopia), Addis Ababa Science & Technology University(Ethiopia) and Mekelle University(Ethiopia). His favorite quote is: " It is only through mathematics that we can thoroughly understand what true science is." - Augustus Comte

研究兴趣

  • Biomathematics
  • Machine Learning
  • Bioinformatics
  • Optimization
  • High Performance Computing(HPC)
  • Biostatistics
  • Data Science

教育经历

  • 2014 - 2017      Harbin Institute of Technology      Engineering Mathematics      (Supervisor: Professor Tian Boping)
  • 2009 - 2011      Addis Ababa University      Computational Science      (Supervisor: Dr Tilahun Teklu)
  • 2002 - 2006      Mekelle University      Mathematics      (Supervisor: Dr Habtu Alemayehu)

工作经历

  • 2024 -      Tsinghua University, BIMSA,      Postdoctoral Research Fellow
  • 2022 - 2023      City University of Hong Kong,      Postdoctoral Research Fellow
  • 2020 - 2022      University of Macau,      Postdoctoral Research Fellow
  • 2018 - 2024      Addis Ababa University,      Assistant professor
  • 2006 - 2014      Mekelle University,      Lecturer

荣誉与奖项

  • 2022      City University of Hong Kong Postdoctoral Fellowship winner
  • 2020      UM Macao Research Fellowship & UM Research Associateship UM Macao Talent programme winner, University of Macau
  • 2018      Talented Young Scientist Program (TYSP) winner
  • 2017      Outstanding International Student Award, Harbin Institute of Technology(HIT)
  • 2017      TUBITAK Research Fellowship winner, Yildiz Technical University(Turkey)
  • 2015      CAS-TWAS Fellowship Winner

出版物

  • [1] Tsz Kin Wan, Rui Xuan Huang, Thomas Wetere Tulu, Jun Dong Liu, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan, Identifying predictors of COVID-19 mortality using machine learning, Life Journal(2022)
  • [2] Thomas, Ieng Tak Leong, Zunyou Wu, Modeling and Predicting Corona Contagion Dynamics in China, USA, Brazil & Ethiopia, Journal of Applied Mathematics and Statistics(2020)
  • [3] Thomas Wetere Tulu , Tian Boping, Mathematical Modeling, analysis and Simulation of Epidemics, Bulletin of Iranian Mathematical society(2017)
  • [4] Thomas Wetere Tulu, Tian Boping, Zunyou Wu, Modeling the effects of quarantine and vaccination on Ebola Epidemics, Advances in difference equations, Springer(2017)
  • [5] Thomas Wetere Tulu, Tian Boping, Zunyou Wu, Mathematical Modeling, analysis and Markov Chain Monte Carlo Simulation of Ebola Epidemics, Results in Physics(2017)
  • [6] TW Tulu, TK Wan, CL Chan, CH Wu, PYM Woo, CZS Tseng et al., Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers, BMC Digital Health, 1(1) (2023)
  • [7] TW Tulu, TK Wan, CL Chan, CH Wu, PYM Woo, CZS Tseng et al., Correction: Machine learning-based prediction of COVID-19 mortality using immunological and metabolic biomarkers, BMC Digital Health, 1(1), 1-1 (2023)
  • [8] Y Du, Z Li, Q He, TW Tulu, KHK Chan, L Wang, S Pei, Z Du, XK Xu, XF Liu, DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2, arXiv preprint arXiv:2302.00926 (2023)
  • [9] Y Du, Z Li, Q He, TW Tulu, KHK Chan, L Wang, S Pei, XK Xu, XF Liu, DPCIPI: A pre-trained deep learning model for esti-mation of cross-immunity between drifted strains of Influenza A/H3N2, CoRR (2023)
  • [10] TW Tulu, T Guo, Fractional-Order Model for Fingerprint Image Processing in ATM Banking, International Journal of Mathematics Trends and Technology-IJMTT, 65 (2019)
  • [11] TW Tulu, T Guo, IJMTT Call for Paper September-2022 (2019)
  • [12] TW Tulu, B Tian, Z Wu, Modeling the effect of quarantine and vaccination on Ebola disease, Advances in Difference Equations, 2017, 1-14 (2017)
  • [13] TW Tulu, B Tian, Z Wu, Mathematical modeling, analysis and Markov Chain Monte Carlo simulation of Ebola epidemics, Results in physics, 7, 962-968 (2017)
  • [14] TW Tulu, B Tian, Z Wu, Modeling the effect of quarantine and vaccination on Ebola disease, Adv, Difference Equ, 178, 1-14 (2017)
  • [15] TWTT Boping, MATHEMATICAL MODELING, ANALYSIS AND SIMULATION OF EBOLA EPIDEMICS, Bulletin of the Iranian Mathematical Society, 43(3), 683-693 (2017)
  • [16] TW Tulu, T Boping, Z Wu, Mathematical modeling, analysis and Markov Chain Monte Carlo, global public health, 2(9) (2017)

 

更新时间: 2025-08-13 08:00:10