Author

Arshia Khan

University of Minnesota Duluth - Cited by 879 - Biomedical engineering - Health informatics - Medical Informatics

Biography

Arshia khan is working as a Professor and Directior of graduate studies of Swenson College of Science and Engineering from University of Minnesota duluth. Her research interests are Humanoid Therapeutic Robot and Wearable sensors automation: My research sits under the umbrella of biomedical and health informatics where humanoid robots and many more.  
Title
Cited by
Year
Active learning: Engaging students to maximize learning in an online course
A Khan, O Egbue, B Palkie, J MaddenElectronic Journal of e-learning 15 (2), pp107‑115-pp107‑115, 2017201
389
2017
Electroencephalography (EEG) technology applications and available devices
M Soufineyestani, D Dowling, A KhanApplied Sciences 10 (21), 7453, 2020202
80
2020
Robots in healthcare: A survey
A Khan, Y AnwarAdvances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020202
41
2020
Impacts of music intervention on dementia: A review using meta-narrative method and agenda for future research
M Soufineyestani, A Khan, M SufineyestaniNeurology international 13 (1), 1-17, 2021202
33
2021
Active learning: a new assessment model that boost confidence and learning while reducing test anxiety
A Khan, J MaddenInternational Journal of Modern Education and Computer Science 10 (12), 1, 2018201
24
2018
An energy efficient data privacy scheme for IoT devices in mobile cloud computing
M Bahrami, A Khan, M Singhal16 IEEE International Conference on Mobile Services (MS), 190-195, 161
20
2016
Speed Learning: Maximizing Student Learning and Engagement in a Limited Amount of Time.
AA Khan, J MaddenInternational Journal of Modern Education & Computer Science 8 (7), 2016201
19
2016
A survey on wandering behavior management systems for individuals with dementia
AZ Hassan, A KhanInternational Journal of Advanced Computer Science and Applications 10 (2 …, 2019201
12
2019
Mobile devices as a resource in gathering health data: the role of mobile devices in the improvement of global health
A Khan, J Madden2016 International Conference on Computational Science and Computational …, 2016201
11
2016
Wireless solution to prevent decubitus ulcers: Preventive weight shifting guide, monitor, and tracker app for wheel chair users with spinal cord injuries (phase II)
AA Khan, M Reuter, N Phung, SS Hafeez2016 IEEE 18th International Conference on e-Health Networking, Applications …, 2016201
9
2016
Mobile aid to assist with care decisions in children with autism spectrum disorder (ASD)
A Khan, K Li, J MaddenJournal of healthcare engineering 201, 20120
8
2018
Framework utilizing machine learning to facilitate gait analysis as an indicator of vascular dementia
A Khan, J Madden, K SnyderInternational Journal of Advanced Computer Science and Applications 9 (8), 2018201
7
2018
Managing risks under highly dependent supplier-producer relation in modern automotive industry
A KhanNachhaltige Impulse für Produktion und Logistikmanagement: Festschrift zum …, 2018201
6
2018
Use of humanoid robot in dementia care: a literature review
R Sather, M Soufineyestani, A Khan, N ImtiazJ Aging Sci 9, 249, 2021202
5
2021
Reminiscence therapy in the treatment of depression in the elderly: Current perspectives
A Khan, A Bleth, M Bakpayev, N ImtiazJournal of Ageing and Longevity 2 (1), 34-48, 2022202
5
2022
An innovative teaching method to increase engagement in the classroom: A case study in science and engineering
R Al-Hammoud, A Khan, O Egbue, S Phillips2017 ASEE Annual Conference & Exposition, 2017201
4
2017
Framework to Predict Bipolar Episodes: Sensor Fusion of Electrodermal Activity Heart Rate Variability Sleep Patterns
A Khan, Y AnwarIntelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019201
4
2019
Framework to predict and identify wandering behavior in individuals with alzheimer’s using physiological and kinect sensors
A Khan, AZ HassanIntelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019201
4
2019