Mohammed Tanvir Masud

ORCID: 0000-0003-4951-3205
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About
Contact & Profiles
Research Areas
  • Network Security and Intrusion Detection
  • Smart Grid Security and Resilience
  • Digital Mental Health Interventions
  • Impact of Technology on Adolescents
  • Mental Health Research Topics
  • Anomaly Detection Techniques and Applications
  • Emotion and Mood Recognition
  • Mobile Health and mHealth Applications
  • Advanced Malware Detection Techniques
  • Security in Wireless Sensor Networks
  • Brain Tumor Detection and Classification
  • Child Development and Digital Technology
  • Social Media and Politics
  • Smart Grid Energy Management
  • Engineering and Technology Innovations
  • IoT-based Smart Home Systems

University of Canberra
2023-2024

UNSW Sydney
2023-2024

UNSW Canberra
2023

Clinical Research Organization
2020

Kwangwoon University
2020

American International University-Bangladesh
2014

Abstract Background Researchers have claimed that problematic internet use (PIU) and addiction (IA) is a global mental health problem. However, little research has addressed this issue in Bangladesh no previous study examined the relationship between PIU potential psychological risk factors. Aim The present prevalence of its associated factors including socio‐demographic variables, behaviors, other variables loneliness, self‐esteem, distress. Methods A cross‐sectional was conducted among...

10.1111/appy.12386 article EN Asia-Pacific Psychiatry 2020-04-03

This article describes a project in which an electrical circuit is designed by user can turn on/off any appliances i.e. fans, lights and lock/unlock windows, doors etc. of his/her house or office through sending SMS using custom built android application to specific phone number connected the microcontroller. In this system used send instruction SMS. At receiving end, GSM module receives sends particular hexadecimal codes Then microcontroller reads code signals relays for performing actions...

10.1109/scored.2014.7072972 article EN 2014-12-01

The number of people suffering with mental health disorders is rapidly increasing in recent years and it very common individuals who like to live alone escape social meetings. Amongst various kinds disorders, depression serious one. In this paper, we propose a method assess the level an individual using smartphone by monitoring their daily activities. Smartphone time domain acceleration gyroscope sensor filtered data were used LSTM-RNN model classify four physical activities (i.e., resting,...

10.1109/tensymp50017.2020.9230984 article EN 2017 IEEE Region 10 Symposium (TENSYMP) 2020-01-01

Background: Researchers have claimed that problematic internet use (PIU) and addiction (IA) is a global mental health problem. However, little research has addressed this issue in Bangladesh no previous study examined the relationship between PIU potential psychological risk factors.Aim: The present prevalence of its associated factors including socio-demographic variables, behaviors, other variables loneliness, self-esteem, distress.Methods: A cross-sectional was conducted among Bangladeshi...

10.31234/osf.io/3rpvs preprint EN 2020-08-29
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