Vedran Bilas

Vedran Bilas

Sveucilište u Zagrebu

H-index: 20

Europe-Croatia

About Vedran Bilas

Vedran Bilas, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Sveucilište u Zagrebu, specializes in the field of Low power electronic systems, Sensor interfaces and signal processing, Computational sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Instrumentation and Measurement Systems: Ecosystems—Insights from NDT and Eddy Current Testing

Instrumentation and measurement systems: from traditional to contemporary

Rapid object depth estimation from position-referenced EMI data using machine learning

Field-experiences of tracking plant’s xylem embolism formation with embedded acoustic emission sensors

Landmine Identification From Pulse Induction Metal Detector Data Using Machine Learning

Inversion-based magnetic polarizability tensor measurement from time domain EMI data

Energy Autonomous Wake-Up Detectors

Always-on sparse event wake-up detectors: A Review

Vedran Bilas Information

University

Position

Professor Faculty of Electrical Engineering and Computing

Citations(all)

1826

Citations(since 2020)

884

Cited By

1342

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

49

i10Index(since 2020)

24

Email

University Profile Page

Sveucilište u Zagrebu

Google Scholar

View Google Scholar Profile

Vedran Bilas Skills & Research Interests

Low power electronic systems

Sensor interfaces and signal processing

Computational sensing

Top articles of Vedran Bilas

Title

Journal

Author(s)

Publication Date

Instrumentation and Measurement Systems: Ecosystems—Insights from NDT and Eddy Current Testing

IEEE Instrumentation & Measurement Magazine

Darko Vasić

Vedran Bilas

2024/2/7

Instrumentation and measurement systems: from traditional to contemporary

IEEE Instrumentation & Measurement Magazine

Davorin Ambruš

Vedran Bilas

2023/2/1

Rapid object depth estimation from position-referenced EMI data using machine learning

Ieee sensors journal

Marko Šimić

Davorin Ambruš

Vedran Bilas

2023/1/9

Field-experiences of tracking plant’s xylem embolism formation with embedded acoustic emission sensors

Dinko Oletić

Sabine Rosner

Vedran Bilas

2023

Landmine Identification From Pulse Induction Metal Detector Data Using Machine Learning

IEEE sensors letters

Marko Šimić

Davorin Ambruš

Vedran Bilas

2023/8/21

Inversion-based magnetic polarizability tensor measurement from time domain EMI data

IEEE transactions on instrumentation and measurement

Marko Šimić

Davorin Ambruš

Vedran Bilas

2023/7/10

Energy Autonomous Wake-Up Detectors

IEEE instrumentation & measurement magazine

Marko Gazivoda

Vedran Bilas

2023/5/8

Always-on sparse event wake-up detectors: A Review

Marko Gazivoda

Vedran Bilas

2022/3/25

Features and always-on wake-up detectors for sparse acoustic event detection

Electronics

Marko Gazivoda

Dinko Oletić

Vedran Bilas

2022/2/6

2022 IEEE IMS Technical Committees

IEEE Instrumentation & Measurement Magazine

Helena Geirnhas Ramos

Zheng Liu

Xuefeng Chen

Wiehua Li

Lordeana Cristaldi

...

2022/11

Low-Power Level-Crossing Rate-Based Diver Detection System

Fran Penić

Marko Gazivoda

Nikola Mišković

Vedran Bilas

2022/10/30

Object depth estimation from line-scan EMI data using machine learning

Marko Šimić

Davorin Ambruš

Vedran Bilas

2022/10/30

2020 I&M Magazine Reviewers

IEEE Instrumentation & Measurement Magazine

Shoaib Amin

Leopoldo Angrisani

Hanan Arahmane CEA

Gif-Sur-Yvette France LIST

Sidnei Araújo

...

2021/6

Low-power sensor interface with a switched inductor frequency selective envelope detector

Sensors

Marko Gazivoda

Vedran Bilas

2021/3/18

Close-range electromagnetic tracking of pulse induction search coils for subsurface sensing

IEEE Transactions on Instrumentation and Measurement

Davorin Ambruš

Marko Šimić

Darko Vasić

Vedran Bilas

2021/1/25

Verifying sensitivity of a sensor system for logging xylem’s acoustic emissions related to drought stress

Dinko Oletic

Sabine Rosner

Vedran Bilas

2021/11/3

2021 IEEE IMS Technical Committees

IEEE Instrumentation & Measurement Magazine

Helena Geirnhas Ramos

Zheng Liu

Xuefeng Chen

Wiehua Li

Lordeana Cristaldi

...

2021/11

TC-6–Technical Committee on Emerging Technologies in Measurement: Opening the Doors to Our Measurement Future

Vedran Bilas

Vincenzo Piuri

2021/10/19

Innovating on top of I&M fundamentals for safer humanitarian demining

IEEE Instrumentation & Measurement Magazine

Davorin Ambruš

Darko Vasić

Vedran Bilas

2020/4/30

Designing micro-mechanical cantilever resonator arrays for wideband detection of ultrasonic xylem cavitation emissions related to plant water-stress

Dinko Oletic

Etienne Herth

David Bouville

Emile Martincic

Vedran Bilas

2020/6/15

See List of Professors in Vedran Bilas University(Sveucilište u Zagrebu)