ProfessorsProfessors of Mangalore UniversityDr. Mohammad Kazim Hooshmand

Dr. Mohammad Kazim Hooshmand

Mangalore University

H-index: 4

Asia-India

About Dr. Mohammad Kazim Hooshmand

Dr. Mohammad Kazim Hooshmand, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Mangalore University, specializes in the field of AI, Machine Learning, Deep Learning, Knowledge Discovery, Cyber Security.

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

Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)

ENSEMBLE-BASED HUMAN ACTIVITY RECOGNITION FOR MULTI RESIDENTS IN SMART HOME ENVIRONMENT

Network Anomaly Detection Models Using Machine Learning Algorithms

Network Intrusion Detection with 1D Convolutional Neural Networks

Network anomaly detection using deep learning techniques

Feature selection approach using ensemble learning for network anomaly detection

Using Ensemble Learning Approach To Identify Rare Cyber-Attacks In Network Traffic Data

Dr. Mohammad Kazim Hooshmand Information

University	Mangalore University
Position	PhD Scholar Computer Science Department
Citations(all)	76
Citations(since 2020)	76
Cited By	3
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	2
i10Index(since 2020)	2
Email	Access Email
University Profile Page	Mangalore University
Google Scholar	View Google Scholar Profile

Dr. Mohammad Kazim Hooshmand Skills & Research Interests

Machine Learning

Deep Learning

Knowledge Discovery

Cyber Security

Top articles of Dr. Mohammad Kazim Hooshmand

Title	Journal	Author(s)	Publication Date
Robust network anomaly detection using ensemble learning approach and explainable artificial intelligence (XAI)	Alexandria Engineering Journal	Mohammad Kazim Hooshmand Manjaiah Doddaghatta Huchaiah Ahmad Reda Alzighaibi Hasan Hashim El-Sayed Atlam ...	2024/5/1
ENSEMBLE-BASED HUMAN ACTIVITY RECOGNITION FOR MULTI RESIDENTS IN SMART HOME ENVIRONMENT	Towards Excellence	John Kasubi Manjaiah Huchaiah Ibrahim Gad Mohammad Hooshmand	2022
Network Anomaly Detection Models Using Machine Learning Algorithms		MOHAMMAD KAZIM	2022/9
Network Intrusion Detection with 1D Convolutional Neural Networks	Digital Technologies Research and Applications	Mohammad Kazim Hooshmand Manjaiah Doddaghatta Huchaiah	2022/8/18
Network anomaly detection using deep learning techniques	CAAI Transactions on Intelligence Technology	Mohammad Kazim Hooshmand Doreswamy Hosahalli	2022/6
Feature selection approach using ensemble learning for network anomaly detection	CAAI Transactions on Intelligence Technology	Mohammad Kazim Hooshmand Ibrahim Gad	2020/11/26
Using Ensemble Learning Approach To Identify Rare Cyber-Attacks In Network Traffic Data		Mohammad Kazim Hooshmand	2020/10/17