Sasikumar Punnekkat

Sasikumar Punnekkat

Mälardalens högskola

H-index: 26

Europe-Sweden

About Sasikumar Punnekkat

Sasikumar Punnekkat, With an exceptional h-index of 26 and a recent h-index of 16 (since 2020), a distinguished researcher at Mälardalens högskola, specializes in the field of Real-time Systems, Fault-tolerant Systems, Dependability, Software Testing, Software engineering.

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

Modeling and safety analysis for collaborative safety-critical systems using hierarchical colored Petri nets

Task models for mixed criticality systems-a review

mcDVFS: cycle conserving DVFS scheduler for multi-core mixed criticality systems

Remaining Useful Life Estimation for Railway Gearbox Bearings Using Machine Learning

Arguing Operational Safety for Mixed Traffic in Underground Mining

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data

Check for updates Remaining Useful Life Estimation for Railway Gearbox Bearings Using Machine Learning

Composite Hazard Analysis of System of Systems for Mixed-traffic Automation in Underground Mine

Sasikumar Punnekkat Information

University

Position

Professor Sweden & Former Director BITS- Pilani KK Birla Goa Campus

Citations(all)

3092

Citations(since 2020)

1047

Cited By

2385

hIndex(all)

26

hIndex(since 2020)

16

i10Index(all)

76

i10Index(since 2020)

31

Email

University Profile Page

Mälardalens högskola

Google Scholar

View Google Scholar Profile

Sasikumar Punnekkat Skills & Research Interests

Real-time Systems

Fault-tolerant Systems

Dependability

Software Testing

Software engineering

Top articles of Sasikumar Punnekkat

Title

Journal

Author(s)

Publication Date

Modeling and safety analysis for collaborative safety-critical systems using hierarchical colored Petri nets

Journal of Systems and Software

Nazakat Ali

Sasikumar Punnekkat

Abdul Rauf

2024/4/1

Task models for mixed criticality systems-a review

Louella Colaco

Arun S Nair

Biju K Raveendran

Sasikumar Punnekkat

2023

mcDVFS: cycle conserving DVFS scheduler for multi-core mixed criticality systems

International Journal of Parallel, Emergent and Distributed Systems

Louella Colaco

Prashiksha Jain

Arun S Nair

Biju K Raveendran

Sasikumar Punnekkat

2023/9/3

Remaining Useful Life Estimation for Railway Gearbox Bearings Using Machine Learning

Lodiana Beqiri

Zeinab Bakhshi

Sasikumar Punnekkat

Antonio Cicchetti

2023/9/27

Arguing Operational Safety for Mixed Traffic in Underground Mining

Julieth Patricia Castellanos Ardila

Sasikumar Punekkat

Hans Hansson

Christian Grante

2023/6/14

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data

Miguel Leon

Tijana Markovic

Sasikumar Punnekkat

2023/7/15

Check for updates Remaining Useful Life Estimation for Railway Gearbox Bearings Using Machine Learning

Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification: 5th International Conference, RSSRail 2023, Berlin, Germany, October 10–12, 2023, Proceedings

Lodiana Beqiri

Zeinab Bakhshi

Sasikumar Punnekkat

Antonio Cicchetti

2023/9/26

Composite Hazard Analysis of System of Systems for Mixed-traffic Automation in Underground Mine

Nazakat Ali

Sasikumar Punnekkat

2023

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems

Tijana Markovic

Alireza Dehlaghi-Ghadim

Miguel Leon

Ali Balador

Sasikumar Punnekkat

2023/9/17

Tiny federated learning with bayesian classifiers

Ning Xiong

Sasikumar Punnekkat

2023/6/19

A Topology-specific Tight Worst-case Analysis of Strict Priority Traffic in Real-time Systems

Nitin Desai

Radu Dobrin

Sasikumar Punnekkat

2023/9/12

CAMP: a hierarchical cache architecture for multi-core mixed criticality processors

International Journal of Parallel, Emergent and Distributed Systems

Arun S Nair

Geeta Patil

Archit Agarwal

Aboli V Pai

Biju K Raveendran

...

2023/12/19

A modular ice cream factory dataset on anomalies in sensors to support machine learning research in manufacturing systems

IEEE Access

Tijana Markovic

Miguel Leon

Bjorn Leander

Sasikumar Punnekkat

2023/3/6

A Systematic Review of β-factor Models in the Quantification of Common Cause Failures

Sirisha Bai Govardhan Rao

Julieth Patricia Castellanos-Ardila

Sasikumar Punnekkat

2023/9/6

The Westermo network traffic data set

Data in Brief

Per Erik Strandberg

David Söderman

Alireza Dehlaghi-Ghadim

Miguel Leon

Tijana Markovic

...

2023/10/1

A Structured Safety Analysis Process for Systems-of-Systems (SafeSoS)

Stephan Baumgart

Joakim Fröberg

Sasikumar Punnekkat

2022

Comparative evaluation of machine learning algorithms for network intrusion detection and attack classification

N.A Azeez

O.J Asuzu

S. Misra

A. Adewumi

R. Ahuja

...

2018

Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning

Miguel Leon

Tijana Markovic

Sasikumar Punnekkat

2022/7/9

Clamp: criticality aware coherency protocol for locked multi-level caches in multi-core processors

Arun Sukumaran Nair

Aboli Vijayanand Pai

Geeta Patil

Biju K Raveendran

Sasikumar Punnekkat

2022/11/4

Random forest based on federated learning for intrusion detection

Tijana Markovic

Miguel Leon

David Buffoni

Sasikumar Punnekkat

2022/6/10

See List of Professors in Sasikumar Punnekkat University(Mälardalens högskola)

Co-Authors

H-index: 48
Patricia Lago

Patricia Lago

Vrije Universiteit Amsterdam

H-index: 41
Ivica Crnkovic

Ivica Crnkovic

Chalmers tekniska högskola

H-index: 39
Hans Hansson

Hans Hansson

Mälardalens högskola

H-index: 34
Thomas Nolte

Thomas Nolte

Mälardalens högskola

H-index: 26
Daniel Sundmark

Daniel Sundmark

Mälardalens högskola

H-index: 17
Radu Dobrin

Radu Dobrin

Mälardalens högskola

academic-engine