Vahid Partovi Nia
Scholar

Vahid Partovi Nia

Google Scholar ID: onMDIN4AAAAJ
Huawei Noah's Ark Lab and Ecole Polytechnique de Montreal
high-dimensional datastatistical learningdeep learningedge intelligence
Citations & Impact
All-time
Citations
1,288
 
H-index
17
 
i10-index
28
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Working on a textbook on Statistical Machine Learning with emphasis on concepts, application, and computation; conducts one-day hands-on Python and R Workshops focusing on Data Science and Artificial Intelligence at GERAD every semester; recommends the Data Science program at the University of British Columbia, which is an excellent one-year master's level program.
Research Experience
  • Serves as Principal Machine Learning Scientist at Noah's Ark Research Lab of Huawei Technologies; holds adjunct professorship at Ecole Polytechnique de Montreal and part-time faculty position at McGill University.
Education
  • Received his Ph.D. in Statistics from Ecole Polytechnique Federale de Lausanne, Switzerland; Swiss SNF funded postdoctoral fellow at McGill University; visiting scholar at Stanford University.
Background
  • Principal Machine Learning Scientist at Noah's Ark Research Lab of Huawei Technologies, Adjunct Professor at Ecole Polytechnique de Montreal, and part time faculty at McGill University. He is a member of The Canada Excellence Research Chair in Data Science. His mission is to make a bridge between the expertise in academia, and the cutting-edge technology in the domain of machine learning and artificial intelligence in industry. His research interest is diverse and is application-oriented including Artificial Intelligence, Data Science, Efficient Computing, and Biostatistics.
Miscellany
  • Hobbies include science, smart technology, data analysis, music, dance, computing, blogging, and Esperanto.
Co-authors
0 total
Co-authors: 0 (list not available)