IQRAM HUSSAIN, Ph.D.

Weill Cornell Medicine, Cornell University, NY, USA

New York City, New York, United States of America

Research Expertise

Biomedical & Medical Physics
AI (Machine & Deep Learning)
Anesthesiology
Sleep Medicine
Human Gait & brain
Electrical and Electronic Engineering
Instrumentation
Atomic and Molecular Physics, and Optics
Biochemistry
Analytical Chemistry
Building and Construction
Management, Monitoring, Policy and Law
Geography, Planning and Development
Renewable Energy, Sustainability and the Environment
Cardiology and Cardiovascular Medicine
Physiology (medical)
Geriatrics and Gerontology
Gerontology
Biomedical Engineering
Pharmacology (medical)
Energy Engineering and Power Technology
Fuel Technology
Library and Information Sciences
Bioengineering
Computer Science Applications
Process Chemistry and Technology
Experimental and Cognitive Psychology
Social Psychology
Polymers and Plastics
Human Factors and Ergonomics
Industrial and Manufacturing Engineering
Software
Artificial Intelligence

About

Iqram Hussain works at the Department of Anesthesiology, Weill Cornell Medicine, Cornell University, NY, USA. Earlier, he was a postdoctoral researcher at the Medical Research Center, Department of Biomedical Engineering, Seoul National University. He pursued a Ph.D. degree in Medical Physics from the University of Science and Technology (UST), South Korea. He worked as a Research Associate with the Korea Research Institute of Standards and Science (KRISS), Daejeon, South Korea. He worked on the Knowledgebase Super Brain (KSB) project at the Electronics and Telecommunication Research Institute (ETRI), Daejeon. He received a B.Sc. degree in mechanical engineering from the Khulna University of Engineering & Technology, Bangladesh, in 2007. He has ten years of work experience in power plant operation and maintenance and power plant project management. His research interests include wearable sleep monitoring, neuroscience, medical physics, human factors, and ergonomics. He has experience in healthcare research, project management, power plant operation, and maintenance. He is a reviewer in IEEE Access, Sensors, Applied Sciences, Biomedical Signal Processing and Control, IEEE Transactions, Science of the Total Environment, Neuroscience Informatics, Brain Sciences, etc. He is a guest editor in special issues of several Journals. Website: https://sites.google.com/view/iqram/home

Publications

HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics

IEEE Access / Jan 01, 2020

Hussain, I., & Park, S. J. (2020). HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics. IEEE Access, 8, 213574–213586. https://doi.org/10.1109/access.2020.3040437

Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management

IEEE Access / Jan 01, 2021

Hussain, I., & Park, S. J. (2021). Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management. IEEE Access, 9, 123146–123164. https://doi.org/10.1109/access.2021.3109806

Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke

Brain Sciences / Jul 07, 2021

Hussain, I., & Park, S.-J. (2021). Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke. Brain Sciences, 11(7), 900. https://doi.org/10.3390/brainsci11070900

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Sensors / Apr 17, 2022

Hussain, I., Hossain, M. A., Jany, R., Bari, M. A., Uddin, M., Kamal, A. R. M., Ku, Y., & Kim, J.-S. (2022). Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. Sensors, 22(8), 3079. https://doi.org/10.3390/s22083079

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal

Sensors / Dec 15, 2022

Islam, M. S., Hussain, I., Rahman, M. M., Park, S. J., & Hossain, M. A. (2022). Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal. Sensors, 22(24), 9859. https://doi.org/10.3390/s22249859

Prediction of Myoelectric Biomarkers in Post-Stroke Gait

Sensors / Aug 07, 2021

Hussain, I., & Park, S.-J. (2021). Prediction of Myoelectric Biomarkers in Post-Stroke Gait. Sensors, 21(16), 5334. https://doi.org/10.3390/s21165334

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System

Sensors / Oct 21, 2021

Hussain, I., Young, S., & Park, S.-J. (2021). Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System. Sensors, 21(21), 6985. https://doi.org/10.3390/s21216985

Real-time Gait Monitoring System for Consumer Stroke Prediction Service

2020 IEEE International Conference on Consumer Electronics (ICCE) / Jan 01, 2020

Park, S. J., Hussain, I., Hong, S., Kim, D., Park, H., & Benjamin, H. C. M. (2020, January). Real-time Gait Monitoring System for Consumer Stroke Prediction Service. 2020 IEEE International Conference on Consumer Electronics (ICCE). https://doi.org/10.1109/icce46568.2020.9043098

Intelligent In-Car Health Monitoring System for Elderly Drivers in Connected Car

Advances in Intelligent Systems and Computing / Aug 05, 2018

Park, S. J., Hong, S., Kim, D., Hussain, I., & Seo, Y. (2018). Intelligent In-Car Health Monitoring System for Elderly Drivers in Connected Car. In Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (pp. 40–44). Springer International Publishing. https://doi.org/10.1007/978-3-319-96074-6_4

Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device

Sensors / Mar 08, 2021

Hussain, I., Young, S., Kim, C. H., Benjamin, H. C. M., & Park, S. J. (2021). Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device. Sensors, 21(5), 1896. https://doi.org/10.3390/s21051896

Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices

SAE Technical Paper Series / Apr 03, 2018

Park, S. J., Hong, S., Kim, D., Seo, Y., Hussain, I., Hur, J. H., & Jin, W. (2018, April 3). Development of a Real-Time Stroke Detection System for Elderly Drivers Using Quad-Chamber Air Cushion and IoT Devices. SAE Technical Paper Series. https://doi.org/10.4271/2018-01-0046

Development of intelligent stroke monitoring system for the elderly during sleeping

Sleep Medicine / Dec 01, 2019

Park, S. J., Hong, S., Kim, D., Yu, J. H., Hussain, I., Park, H. G., & Benjamin, H. C. M. (2019). Development of intelligent stroke monitoring system for the elderly during sleeping. Sleep Medicine, 64, S294. https://doi.org/10.1016/j.sleep.2019.11.824

Abstract 12554: Machine Learning-Based Detection of Intraoperative Ischemia Utilizing the VitalDB Database

Circulation / Nov 07, 2023

Hussain, I., Pandian, B., Zeepvat, J., Armoundas, A. A., & Boyer, R. (2023). Abstract 12554: Machine Learning-Based Detection of Intraoperative Ischemia Utilizing the VitalDB Database. Circulation, 148(Suppl_1). https://doi.org/10.1161/circ.148.suppl_1.12554

Intelligent in-car health monitoring system for elderly drivers

Gerontechnology / Apr 24, 2018

Park, S. J., Hong, S., Kim, D., Seo, Y., & Hussain, I. (2018). Intelligent in-car health monitoring system for elderly drivers. Gerontechnology, 17(s), 186–186. https://doi.org/10.4017/gt.2018.17.s.181.00

Effect of age on the gap-prepulse inhibition of the cortical N1-P2 complex in humans as a step towards an objective measure of tinnitus

PLOS ONE / Nov 05, 2020

Ku, Y., Kim, D. Y., Kwon, C., Noh, T. S., Park, M. K., Lee, J. H., Oh, S. H., Kim, H. C., & Suh, M.-W. (2020). Effect of age on the gap-prepulse inhibition of the cortical N1-P2 complex in humans as a step towards an objective measure of tinnitus. PLOS ONE, 15(11), e0241136. https://doi.org/10.1371/journal.pone.0241136

182 The Effects of Self-Reported Knee Joint Instability on Muscle Co-Activation in Osteoarthritis of the Knee

Rheumatology / Apr 24, 2016

182 The Effects of Self-Reported Knee Joint Instability on Muscle Co-Activation in Osteoarthritis of the Knee. (2016). Rheumatology. https://doi.org/10.1093/rheumatology/kew137.001

Replicable Patent Indicators Using the Google Patents Public Datasets

SSRN Electronic Journal / Jan 01, 2023

Abi Younes, G., & de Rassenfosse, G. (2023). Replicable Patent Indicators Using the Google Patents Public Datasets. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4644778

Location-Based Monitoring System in an Indoor and Outdoor Integrated Environment

The Journal of Korean Institute of Communications and Information Sciences / Apr 30, 2023

Kim, J.-M., Kwon, D.-H., & Shin, S.-Y. (2023). Location-Based Monitoring System in an Indoor and Outdoor Integrated Environment. The Journal of Korean Institute of Communications and Information Sciences, 48(4), 492–498. https://doi.org/10.7840/kics.2023.48.4.492

Design and Implementation of a Real-time Facility Data Collection System using an Embedded System

Journal of the Institute of Electronics and Information Engineers / Jan 31, 2021

Shin, H., Kim, T., Park, D., Jeon, H., & Joo, W. (2021). Design and Implementation of a Real-time Facility Data Collection System using an Embedded System. Journal of the Institute of Electronics and Information Engineers, 58(1), 83–91. https://doi.org/10.5573/ieie.2021.58.1.83

Weather based Localized Crop Prediction using Machine Learning

Quaid-e-Awam University Research Journal of Engineering, Science & Technology / Dec 28, 2022

Hussain, S. (2022). Weather based Localized Crop Prediction using Machine Learning. Quaid-e-Awam University Research Journal of Engineering, Science & Technology, 20(2), 106–115. Internet Archive. https://doi.org/10.52584/qrj.2002.13

Life Weather Index Monitoring System using Wearable based Smart Cap

The Journal of the Korea Contents Association / Dec 28, 2009

Jun, I.-J., & Chung, K.-Y. (2009). Life Weather Index Monitoring System using Wearable based Smart Cap. The Journal of the Korea Contents Association, 9(12), 477–484. https://doi.org/10.5392/jkca.2009.9.12.477

Design and Implementation of Embedded System for Sleep Monitoring Based on UWB

The Journal of Korean Institute of Communications and Information Sciences / Jun 30, 2020

Yun, I., Choi, H.-M., & Oh, H.-W. (2020). Design and Implementation of Embedded System for Sleep Monitoring Based on UWB. The Journal of Korean Institute of Communications and Information Sciences, 45(6), 1103–1109. https://doi.org/10.7840/kics.2020.45.6.1103

Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents

World Patent Information / Sep 01, 2019

Wittfoth, S. (2019). Measuring technological patent scope by semantic analysis of patent claims – An indicator for valuating patents. World Patent Information, 58, 101906. https://doi.org/10.1016/j.wpi.2019.101906

Maternal Geographies

Emotion, Space and Society / Feb 01, 2018

Robinson, C. (2018). Maternal Geographies. Emotion, Space and Society, 26, 31–32. https://doi.org/10.1016/j.emospa.2017.09.003

Neurological Outcome of Ischemic Stroke in Children: a Single Center Study

Journal of the korean child neurology society / Sep 01, 2018

홍승희, 우영종, 김영옥, 최영륜, 장성환, & 정의석. (2018). Neurological Outcome of Ischemic Stroke in Children: a Single Center Study. Journal of the Korean Child Neurology Society, 26(3), 152–158. https://doi.org/10.26815/jkcns.2018.26.3.152

Prioritization Analysis for Contents Sensibility Evaluation of the Future Mobility

Korean Society for Emotion and Sensibility / Mar 31, 2018

Lee, J. M., & Ju, D. Y. (2018). Prioritization Analysis for Contents Sensibility Evaluation of the Future Mobility. Korean Society for Emotion and Sensibility, 21(1), 3–16. https://doi.org/10.14695/kjsos.2018.21.1.3

Book review

Emotion, Space and Society / Aug 01, 2018

Todd, J. D. (2018). Book review. Emotion, Space and Society, 28, 75–76. https://doi.org/10.1016/j.emospa.2018.06.001

Satisfaction and Luxuriousness for Car Seat Covers

Journal of the Korean Society of Clothing and Textiles / Jun 30, 2017

Roh, E. K., Kim, E., Park, G. R., & Kim, E. (2017). Satisfaction and Luxuriousness for Car Seat Covers. Journal of the Korean Society of Clothing and Textiles, 41(03), 446–457. https://doi.org/10.5850/10.5850/jksct.2017.41.3.446

Tracking Trajectory Planning of Space Manipulator for Capturing Operation

International Journal of Advanced Robotic Systems / Sep 01, 2006

Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735

Secure, Sustainable Smart Cities and the Internet of Things: Perspectives, Challenges, and Future Directions

Sustainability / Feb 06, 2024

Hussain, I. (2024). Secure, Sustainable Smart Cities and the Internet of Things: Perspectives, Challenges, and Future Directions. Sustainability, 16(4), 1390. https://doi.org/10.3390/su16041390

Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence

Sensors / Feb 21, 2024

Hussain, I., & Jany, R. (2024). Interpreting Stroke-Impaired Electromyography Patterns through Explainable Artificial Intelligence. Sensors, 24(5), 1392. https://doi.org/10.3390/s24051392

Enhanced Ant Colony Optimization for Vehicular Ad Hoc Networks Using Fittest Node Clustering

Sustainability / Nov 14, 2023

Bijalwan, A., Hussain, I., Purohit, K. C., & Kumar, M. A. (2023). Enhanced Ant Colony Optimization for Vehicular Ad Hoc Networks Using Fittest Node Clustering. Sustainability, 15(22), 15903. https://doi.org/10.3390/su152215903

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME

Sensors / Aug 27, 2023

Hussain, I., Jany, R., Boyer, R., Azad, A., Alyami, S. A., Park, S. J., Hasan, M. M., & Hossain, M. A. (2023). An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME. Sensors, 23(17), 7452. https://doi.org/10.3390/s23177452

SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal

2022 25th International Conference on Computer and Information Technology (ICCIT) / Dec 17, 2022

Jany, R., Ashmafee, Md. H., Hussain, I., & Hossain, M. A. (2022, December 17). SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal. 2022 25th International Conference on Computer and Information Technology (ICCIT). https://doi.org/10.1109/iccit57492.2022.10055956

Cloud-Based Clinical Physiological Monitoring System for Disease Prediction

Lecture Notes in Networks and Systems / Jan 01, 2022

Hussain, I., Park, S. J., & Hossain, M. A. (2022). Cloud-Based Clinical Physiological Monitoring System for Disease Prediction. In Proceedings of 2nd International Conference on Smart Computing and Cyber Security (pp. 268–273). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-9480-6_25

Network Traffic Anomalies Detection Using Machine Learning Algorithm: A Performance Study

Lecture Notes in Networks and Systems / Jan 01, 2022

Hossain, M. A., Hussain, I., Al-Athwari, B., & Dahit, S. (2022). Network Traffic Anomalies Detection Using Machine Learning Algorithm: A Performance Study. In Proceedings of 2nd International Conference on Smart Computing and Cyber Security (pp. 274–282). Springer Nature Singapore. https://doi.org/10.1007/978-981-16-9480-6_26

A Healthcare Digital Twin for Diagnosis of Stroke

2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) / Dec 04, 2021

Hussain, I., Hossain, Md. A., & Park, S.-J. (2021, December 4). A Healthcare Digital Twin for Diagnosis of Stroke. 2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). https://doi.org/10.1109/becithcon54710.2021.9893641

Gait Monitoring System for Stroke Prediction of Aging Adults

Advances in Human Factors in Wearable Technologies and Game Design / Jun 14, 2019

Park, H., Hong, S., Hussain, I., Kim, D., Seo, Y., & Park, S. J. (2019). Gait Monitoring System for Stroke Prediction of Aging Adults. In Advances in Intelligent Systems and Computing (pp. 93–97). Springer International Publishing. https://doi.org/10.1007/978-3-030-20476-1_11

Physiological Evaluation of a Non-invasive Wearable Vagus Nerve Stimulation (VNS) Device

Advances in Human Factors in Wearable Technologies and Game Design / Jun 14, 2019

Park, S. J., Hong, S., Kim, D., Hussain, I., Seo, Y., & Kim, M. K. (2019). Physiological Evaluation of a Non-invasive Wearable Vagus Nerve Stimulation (VNS) Device. In Advances in Intelligent Systems and Computing (pp. 57–62). Springer International Publishing. https://doi.org/10.1007/978-3-030-20476-1_7

Gait Feature Vectors for Post-stroke Prediction using Wearable Sensor

Korean Society for Emotion and Sensibility / Sep 30, 2019

Hong, S., Kim, D., Park, H., Seo, Y., Iqram, H., & Park, S. (2019). Gait Feature Vectors for Post-stroke Prediction using Wearable Sensor. Korean Society for Emotion and Sensibility, 22(3), 55–64. https://doi.org/10.14695/kjsos.2018.22.3.55

Analysis of Bio-signal Data of Stroke Patients and Normal Elderly People for Real-Time Monitoring

Advances in Intelligent Systems and Computing / Aug 08, 2018

Kim, D., Hong, S., Hussain, I., Seo, Y., & Park, S. J. (2018). Analysis of Bio-signal Data of Stroke Patients and Normal Elderly People for Real-Time Monitoring. In Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (pp. 208–213). Springer International Publishing. https://doi.org/10.1007/978-3-319-96098-2_27

Effectiveness of Balance Seat on Vibration Comfort

Advances in Ergonomics in Design / Jun 24, 2018

Park, S. J., Hong, S., Kim, D., Seo, Y., Jin, K. Y., Jun, S. B., & Hussain, I. (2018). Effectiveness of Balance Seat on Vibration Comfort. In Advances in Intelligent Systems and Computing (pp. 62–69). Springer International Publishing. https://doi.org/10.1007/978-3-319-94706-8_8

Knowledge Based Health Monitoring During Driving

HCI International 2018 – Posters' Extended Abstracts / Jan 01, 2018

Park, S. J., Hong, S., Kim, D., Seo, Y., & Hussain, I. (2018). Knowledge Based Health Monitoring During Driving. In Communications in Computer and Information Science (pp. 387–392). Springer International Publishing. https://doi.org/10.1007/978-3-319-92285-0_52

Education

Korea University of Science and Technology

Doctor of Philosophy, Medical Physics / February, 2022

Daejeon

Khulna University of Engineering and Technology

Bachelor of Science, Mechanical Engineering / April, 2007

Khulna

Experience

Weill Cornell Medicine

Postdoctoral Associate / March, 2023Present

Seoul National University

Postdoctoral Fellow / March, 2022February, 2023

Korea Research Institute of Standards and Science

PhD Researcher / September, 2017February, 2022

Electronics and Telecommunications Research Institute

Part-time Graduate Researcher / September, 2017November, 2021

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