Milos Kotlar - University of Belgrade

基本信息

Career Trajectory

Bio

Miloš Kotlar received the B.Sc. and M.Sc. degrees in electrical and computer engineering from the School of Electrical Engineering, University of Belgrade, Serbia, in 2016 and 2017, respectively, where he is currently pursuing the Ph.D. degree with the School of Electrical Engineering. His general research interests include implementation of energy efficient tensor implementations using the dataflow paradigm (FPGA and ASIC accelerators) and meta learning approaches for anomaly detection tasks.

Research Interests

Papers共 24 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Teaching Computing for Complex Problems in Civil Engineering and Geosciences Using Big Data and Machine Learning: Synergizing Four Different Computing Paradigms and Four Different Management Domains

JOURNAL OF BIG DATA（2023）

Cited5Views0EIBibtex

VLSI for SuperComputing: From applications and algorithms till masks and chips

Veljko Milutinović,Miloš Kotlar,Jakob Salom,Saša Stojanović,Živojin Šuštran,Aleksandar Veljković, Jelena Marković,Ali R. Hurson

Advances in Computers (2022)

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Chapter One - VLSI for SuperComputing: Creativity in R+D from applications and algorithms to masks and chips

Veljko Milutinović,Miloš Kotlar,Jakob Salom,Saša Stojanović,Živojin Šuštran,Aleksandar Veljković, Jelena Marković,Ali R. Hurson

Adv. Comput.（2022）

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Implementation of Perception Algorithm Using DataFlow Paradigm

Milos Kotlar,Zoran Babovic,Veljko Milutinovic

Advances in Systems Analysis, Software Engineering, and High Performance Computing (2022)

Cited1Views0EIWOSBibtex

Meta Features for Anomaly Detection in AutoML

Miloš Kotlar,Marija Punt,Zaharije Radivojević,Miloš Cvetanović

2022 30th Telecommunications Forum (TELFOR) (2022)

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Energy Efficient Implementation of Tensor Operations Using Dataflow Paradigm for Machine Learning

Milos Kotlar,Marija Punt,Veljko Milutinovic

Adv Comput (2022): 151-199

Cited1Views0EIBibtex

VLSI for SuperComputing: Creativity in R plus D from applications and algorithms to masks and chips

Veljko Milutinovic,Milos Kotlar,Jakob Salom,Sasa Stojanovic,Zivojin Sustran,Aleksandar Veljkovic, Jelena Markovic,Ali R. Hurson

Advances in Computers (2022): 1-14

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An Introduction to Controlflow and Dataflow Supercomputing

Miloš Kotlar

Advances in Systems Analysis, Software Engineering, and High Performance ComputingHandbook of Research on Methodologies and Applications of Supercomputing (2021)

Cited0Views0Bibtex

Novel Meta-Features for Automated Machine Learning Model Selection in Anomaly Detection

Milos Kotlar,Marija Punt,Zaharije Radivojevic,Milos Cvetanovic,Veljko Milutinovic

IEEE Access（2021）

Cited12Views0EIWOSBibtex

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