Prashant Singh

postdoktor vid Institutionen för informationsteknologi, Beräkningsvetenskap

E-post:
prashant.singh[AT-tecken]it.uu.se
Telefon:
018-471 2976
Besöksadress:
Rum POL 2439 ITC, Lägerhyddsvägen 2, hus 2
752 37 UPPSALA
Postadress:
Box 337
751 05 UPPSALA

Kort presentation

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Prashant Singh is a postdoctoral researcher at the Division of Scientific Computing, Department of Computer Science, Uppsala University. His current research involves developing machine learning and optimization methods to enable fast, data-efficient analysis and processing of scientific data, particularly in the domain of systems biology.

Nyckelord: scientific computing systems biology machine learning optimization active learning bayesian inference surrogate models

Mina kurser

Biografi

Detta stycke finns inte på svenska, därför visas den engelska versionen.

Prashant Singh obtained the degree of PhD in Computer Science Engineering from Ghent University, Belgium in May 2016, where he specialized in model-based optimization and active learning. Prashant received his MSc degree in Computer Science from the University of Delhi, India in 2011, with specialization in data mining and supervised machine learning.

Forskning

Prashant's research interests broadly span optimization and machine learning. He is particularly interested in developing efficient methods for data-scarce or computationally expensive problems. Some related topics include constrained multi-objective optimization, surrogate modeling, parameter inference, inverse modeling, active learning, sequential sampling, design of experiments, etc.

Publikationer

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