Sains dan Kebijakan

Heri Kuswanto

Foto Diri

Institut Teknologi Sepuluh November

Jabatan
  • Direktur Pascasarjana dan Pengembangan Akademik – ITS
  • Guru Besar

Heri Kuswanto adalah Guru Besar di Departemen Statistika, Institut Teknologi Sepuluh Nopember (ITS) Surabaya. Dia juga merupakan peneliti aktif di Pusat Penelitian Mitigasi Bencana dan Perubahan Iklim-ITS. Prof. Heri memperoleh gelar Doktor dari Institute of Statistics, Leibniz University Hannover Jerman pada tahun 2009. Setelah menyelesaikan Ph.D., dia bekerja sebagai Postdoctoral Research Associate di Laval University, Kanada, selama satu tahun. Prof. Heri telah memperoleh banyak hibah penelitian internasional untuk mendorong kolaborasi internasional, diantaranya Partnership for Enhanced Engagement in Research (PEER), yang didanai oleh National Science Foundation (NSF) dan USAID, dari 2013-2015 dan 2017-2019; Proyek DECIMALS (2018-2020; 2021-2022), didanai oleh The World Academy of Science (TWAS), dan UNESCO.

Prof. Heri Kuswanto saat ini menjadi pengurus aktif di Ikatan Statistisi Indonesia (ISI) serta Anggota Kehormatan di Forum Pendidikan Tinggi Statistik (Forstat) Indonesia. Heri Kuswanto dinobatkan sebagai Dosen Berprestasi di ITS pada tahun 2013. Diangkat sebagai Guru Besar pada tahun 2020 dalam usia 38 tahun dan saat ini merupakan guru besar termuda di ITS. Prof. Heri Kuswanto saat ini menjabat sebagai Direktur Program Pascasarjana dan Pengembangan Akademik di ITS.


Publikasi Relevan
  • 2021. A Solikhah, H Kuswanto, N Iriawan, K Fithriasari. 2021. Fisher’sz Distribution-Based Mixture Autoregressive Model, Econometrics 9 (3)27.
  • 2021. M Ahsan, M Mashuri, H Kuswanto, DD Prastyo, H Khusna (2021) Outlier detection using PCA mix based T2 control chart for continuous and categorical data. Communications in Statistics- Simulation and Computation 50 (5), 1496-1523.
  • 2020. Widhianingsih, H Kuswanto, DD Prastyo (2020). Logistic Regression Ensemble (LORENS) Applied to Drug Discovery. MATEMATIKA: Malaysian Journal of Industrial and Applied Mathematics 36 (1).
  • 2020. RB Prasetyo, H Kuswanto, N Iriawan, BSS Ulama (2020) Binomial regression models with a flexible generalized logit link function. Symmetry 12 (2), 221
  • Kuswanto, H., Mubarok, R., Ohwada, H. (2019). Classification Using Naive Bayes to Predict Radiation Protection in Cancer Drug Discovery: a Case of Mixture Based Grouped Data. International Journal of Artificial Intellegence, 17(1), 186-203.
  • Kuswanto, H., Naufal, A. (2019) : Evaluation of performance of drought prediction in Indonesia based on TRMM and MERRA-2 using machine learning methods. MethodsX 6, 1238-1251.
  • Kuswanto, H., Melasasi, J.N., Ohwada, H., (2018). Enzyme Classification on DUD-E Database Using Logistic Regression Ensemble (Lorens). Innovative Computing, Optimization and Its Applications, 93-109. Springer.
Penghargaan / Hibah Relevan
  • 2021. DAAD Research Ambassador, German Exchange Service (DAAD) Indonesia.
  • 2020. Masuk dalam list 500 Peneliti Terbaik Indonesia SINTA (urutan 341).
  • 2018. Perwakilan Akademi Ilmuwan Muda Indonesia pada Science at the Shine Dome 2018, Canberra, Australia.
  • 2017. Short visiting research in Southompton University UK.
  • 2016. Award for Erasmus + staff exchange at Cardiff Metropolitan University UK 2016.
  • Investigating the impact of Solar Geoengineering on Hydro-climatic Extremes in Southeast Asia. DECIMALS CONTINUATION Project funded by The World Academy Of Science (TWAS) and UNESCO. (2019-2020). Collaborator : Meu Leung Tan from USM Malaysia, Hong X. Do from Nong Lam University Vietnam, Prof. John Moore from Beijing Normal University and Ben Kravitz from Indianan University US.
  • Understanding the Impact of Solar Geoengineering on Extreme Temperatures and Precipitation Changes Over Tropical Regions: Case Study of Indonesia. DECIMALS Project funded by The World Academy Of Science (TWAS) and UNESCO. (2019-2020). Collaborator: Prof. John Moore from Beijing Normal University and Ben Kravitz from Indiana University US.
  • Strengthening Resilience to Extreme Weather Related Events in Indonesia through improving the predictability of drought risk within Drought Cycle Management Model. In collaboration with Prof. Justin Sheffield (Princeton University) and Dr. Amir Aghakouchak (University of California, Irvine). Funded by NSF USA through the PEER Research Grant, 2017-2019
  • 2019 Harvard Residency Program on Solar Geoengineering, Harvard University USA
  • 2013 Finalis 15 Dosen berperstasi Indonesia oleh Menristekdikti
  • 2013 Juara 1 Dosen Berprestasi Institut Teknologi Sepuluh Nopember (ITS)

Rumpun Kepakaran

Statistika

Kepakaran
  • Weather and Climate Modelling
  • Computational Statistics
  • Machine learning
  • Forecasting
  • Econometric

Jenis URL/Akun URL/Akun
LinkedIn https://www.linkedin.com/in/dr-heri-kuswanto-assc-prof-4936bb182/
Skip to content