Smart Health and Internet of Medical Things
Continuous improvement of cost-effective healthcare and patient treatment is by far the top national interest worldwide. The proliferation, versatility, and agility of medical devices have revolutionized healthcare and contributed to the new smart Health (sHealth) 4.0 era of internet of medical things (IoMT). Broadly speaking, these IoMT devices include wearable, miniaturized, or implantable sensors that can be efficiently used for patient monitoring. The recent pandemic has also triggered the need for new solutions and systems for smart and secure remote patient monitoring, and medical data exchange across multiple healthcare entities to help combat the outbreak.
During this special session, we will shed some light on cutting-edge & interdisciplinary research, and commercial solutions in the field of sHealth and IoMT. We discuss emerging technologies and issues in this field, such as Artificial Intelligent AI-based, machine learning, and edge computing techniques to address various key design aspects of the IoMT devices and healthcare systems, such as energy efficiency, communications, hardware design, and security and privacy. We also discuss emerging application frameworks such as mobile/smart health, and Blockchain for health systems, integrating multiple entities for secure medical data exchange.
Topics of interest include, but are not limited to:
- Innovative and secure healthcare architectures for combating pandemics.
- Pervasive and distributed AI techniques for efficient sHealth systems.
- Reinforcement learning (RL) for optimal sHealth systems performance.
- Federated learning (FL)-based architectures and solutions for global detection of sHealth issues.
- IoMT devices’ energy efficient design and development.
- IoMT-enabled energy efficient communication for smart monitoring.
- Edge and fog computing for IoMT-enabled systems and applications.
- sHealth systems using Blockchain for secure medical data exchange.
- sHealth security and privacy
Amr Mohammed (S’ 00, M’ 06, SM’ 14) received his M.S. and Ph.D. in electrical and computer engineering from the University of British Columbia, Vancouver, Canada, in 2001, and 2006 respectively. He has worked as an advisory IT specialist in IBM Innovation Centre in Vancouver from 1998 to 2007, taking a leadership role in systems development for vertical industries. He is currently a professor in the college of engineering at Qatar University and the director of the Cisco Regional Academy. He has over 25 years of experience in wireless networking research and industrial systems development. He holds 3 awards from IBM Canada for his achievements and leadership, and 4 best paper awards from IEEE conferences. His research interests include wireless networking, and edge computing for IoT applications. Dr. Amr Mohamed has authored or co-authored over 160 refereed journal and conference papers, textbook, and book chapters in reputable international journals, and conferences. He has served as a technical program committee (TPC) co-chair for workshops in IEEE WCNC’16. He has served as a co-chair for technical symposia of international conferences, including Globecom’16, Crowncom’15, AICCSA’14, IEEE WLN’11, and IEEE ICT’10. He has served on the organization committee of many other international conferences as a TPC member, including the IEEE ICC, GLOBECOM, WCNC, LCN and PIMRC, and a technical reviewer for many international IEEE, ACM, Elsevier, Springer, and Wiley journals.
Aiman Erbad, Hamad Bin Khalifa University (HBKU).
Aiman Erbad is an Associate Professor at the College of Science and Engineering at Hamad Bin Khalifa University (HBKU). Dr. Erbad obtained a PhD in Computer Science from the University of British Columbia (Canada), and a Master of Computer Science in Embedded Systems and Robotics from the University of Essex (UK). Dr. Erbad received the Platinum award from H.H. The Emir Sheikh Tamim bin Hamad Al Thani at the Education Excellence Day 2013 (PhD category). Dr. Erbad received the 2020 best research paper award from the Computer Communications journal, IWCMC 2019 best paper award, and IEEE CCWC 2017 best paper award. Dr. Erbad is an editor in KSII Transactions on Internet and Information Systems and was a guest editor in IEEE Networks. Dr. Erbad research interests span cloud computing, edge computing, IoT, private and secure networks, and multimedia systems.
Mohsen Guizani (S’85–M’89–SM’99–F’09) received the B.S. (with distinction) and M.S. degrees in electrical engineering, the M.S. and Ph.D. degrees in computer engineering from Syracuse University, Syracuse, NY, USA, in 1984, 1986, 1987, and 1990, respectively. He is currently a Professor at the Computer Science and Engineering Department in Qatar University, Qatar. Previously, he served in different academic and administrative positions at the University of Idaho, Western Michigan University, University of West Florida, University of Missouri-Kansas City, University of Colorado-Boulder, and Syracuse University. His research interests include wireless communications and mobile computing, computer networks, mobile cloud computing, security, and smart grid. He is currently the Editor-in-Chief of the IEEE Network Magazine, serves on the editorial boards of several international technical journals and the Founder and Editor-in-Chief of Wireless Communications and Mobile Computing journal (Wiley). He is the author of nine books and more than 500 publications in refereed journals and conferences. He guest edited a number of special issues in IEEE journals and magazines. He also served as a member, Chair, and General Chair of a number of international conferences. Throughout his career, he received three teaching awards and four research awards. He also received the 2017 IEEE Communications Society WTC Recognition Award as well as the 2018 AdHoc Technical Committee Recognition Award for his contribution to outstanding research in wireless communications and Ad-Hoc Sensor networks. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the Chair of the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer. He is a Fellow of IEEE and a Senior Member of ACM.
Organized on – 28th June, 2021 at 10:30 – 12:30 EDT
|Session 1||Session 2|
|1- Invited speaker 1
2- 5103 Data Mining Techniques for Prediction of Type 2 Diabetes Leading to Cardiovascular Disease, Md Shafiqul Islam, Samir Belhaouari, Muhammad Abdul-Ghani, Marwa Qaraqe
3- 5185 ECG Real-Time Monitoring and Heart Anomaly Detection Reimagined, Abeer Badawi, Ahmed Badr, Khalid Elgazzar
4- 5206 Smart Insole: Remote Gait Detection Algorithm Using Pressure Sensors for Toe Walking Rehabilitation, Ghazal Ershadi, Migyeong Gwak, Afshin Aminian, Rahul Soangra, Marybeth Grant-Beuttler, Majid Sarrafzadeh
5- 5212 Smart and Secure Blockchain-Based Healthcare System Using Deep Q-Learning, Abeer Al-Marridi, Amr Mohammad, Aiman Erbad, Mohsen Guizani
|1- Invited speaker 2
2- 5244 Securing IoT Cooperative Networks Using Energy Harvesting, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, Mohsen Guizani
3- 5077 Internet of Animals: Unsupervised Foaling Detection Based on Accelerometer Data, Timo Dewaele, Jaron Fontaine, Anniek Eerdekens, Margot Deruyck, Jan Govaere, Wout Joseph, Adnan Shahid, Eli De Poorte…
4- 5225 Exploiting Bluetooth Low Energy smart tags for virtual coaching, Florenc Demrozi, Nicola Serlonghi, Cristian Turetta, Cristiano Pravadelli, Graziano Pravadelli
|10:30 – 10:35||Introduction by session chairs|
|10:35 – 10:50||[Invited speaker] – “Towards an Internet of Learning Medical Things”, Dr. Sameh Sorour, School of Computing, Queen’s University, Canada.|
|10:50 – 11:00||[Q&A with paper presenter 1] – 5103 Data Mining Techniques for Prediction of Type 2 Diabetes Leading to Cardiovascular Disease, Md Shafiqul Islam, Samir Belhaouari, Muhammad Abdul-Ghani, Marwa Qaraqe|
|11:00 – 11:10||[Q&A with paper presenter 2] – 5185 ECG Real-Time Monitoring and Heart Anomaly Detection Reimagined, Abeer Badawi, Ahmed Badr, Khalid Elgazzar|
|11:10 – 11:20||[Q&A with paper presenter 3] – 5206 Smart Insole: Remote Gait Detection Algorithm Using Pressure Sensors for Toe Walking Rehabilitation, Ghazal Ershadi, Migyeong Gwak, Afshin Aminian, Rahul Soangra, Marybeth Grant-Beuttler, Majid Sarrafzadeh|
|11:20 – 11:30||[Q&A with paper presenter 4] – 5212 Smart and Secure Blockchain-Based Healthcare System Using Deep Q-Learning, Abeer Al-Marridi, Amr Mohammad, Aiman Erbad, Mohsen Guizani|
|11:30 – 11:35||Introduction by session chairs|
|11:35 – 11:50||[Invited speaker] – “Application of Cognitive Internet of Medical Things for public health management in pandemic situations”, Dr. Heena Rathore, University of Texas, San Antonio, USA.|
|11:50 – 12:00||[Q&A with paper presenter 1] – 5244 Securing IoT Cooperative Networks Using Energy Harvesting, Ala Gouissem, Khalid Abualsaud, Elias Yaacoub, Tamer Khattab, Mohsen Guizani|
|12:00 – 12:10||[Q&A with paper presenter 2] – 5077 Internet of Animals: Unsupervised Foaling Detection Based on Accelerometer Data, Timo Dewaele, Jaron Fontaine, Anniek Eerdekens, Margot Deruyck, Jan Govaere, Wout Joseph, Adnan Shahid, Eli De Poorte|
|12:10 – 12:20||[Q&A with paper presenter 3] – 5225 Exploiting Bluetooth Low Energy smart tags for virtual coaching, Florenc Demrozi, Nicola Serlonghi, Cristian Turetta, Cristiano Pravadelli, Graziano Pravadelli|
Sameh Sorour, Queen’s University, Canada.
Sameh Sorour is an Assistant Professor at the School of Computing, Queen’s University, Canada. He is the founder and director of the Queen’s Connected and Autonomous Systems and Technologies (Queen’s CASTLE) laboratory. He and his research group have published over 100 peer-reviewed articles in the most prestigious journals and conferences in their fields of research. Several of these publications have been cited more than 100 times. His research achievements were the subject of 1 keynote talk in IEEE LCN workshop, 3 tutorials, and more than 15 invited talks around the globe. Dr. Sorour is a senior member of IEEE and serves as an Associate Editor for IEEE Communications Letters and Frontiers Journal in Communications and Networks. He is also an Area Editor in the IEEE Canadian Journal of Electrical and Computer Engineering. In addition, he has acted as a Symposium Chair, Track Chair, Track Co-Chair, and Technical Program Chair for several IEEE and IEEE-sponsored international conferences. His research and educational interests lie in the broad areas of advanced networking, computing, learning, and intelligence technologies for connected and autonomous systems. Topics of particular interest include wireless networking, edge computing, edge learning, edge intelligence, AI-enabled 5G/6G networks, internet of things, connected and autonomous land and aerial vehicles, cyber-physical systems, and intelligent transportation systems.
Heena Rathore, the University of Texas, San Antonio, USA.
Dr Heena Rathore is an Assistant Professor at the University of Texas, San Antonio, USA. Prior to that, she was a visiting assistant professor at Texas A&M University, USA. She also worked as a Data Scientist and Program Manager at Hiller Measurements for a couple of years. Prior to that, she worked as a postdoctoral researcher for the US-Qatar Joint Collaborative Project between Temple University, USA, University of Idaho, USA, and Qatar University. Also, she was a visiting scholar for Wichita State University. She received her Ph.D. (with distinction) in Computer Science and Engineering Department while she was a Tata Consultancy Services Research Scholar at the Indian Institute of Technology, India. She has been the winner of several prestigious awards including Educationist Empowering India, IEEE R5 Outstanding Individual Achievement Award, IEEE Achievements Award, IIT REYA Award, Young Engineer Award, Global Engineering Impact Award, and Graphical System Design Achievement Award. She has published more than 40 papers in peer-reviewed journals and conferences in her field and is the sole author of Mapping Biological Systems to Network Systems (Springer). She was also featured on TedX, Qatar held by TedXAlDafnaEd in Qatar and her work is covered in professional and major trade publications, major media, such as IEEE.TV, Microwave Journal, Everything RF, Financial Express, Science Reporter, the Times of India, and India Today. She is an ACM distinguished speaker, IEEE senior member, Vice-Chair of IEEE EMBS chapter in San Antonio, and IEEE Central Texas Section in Austin. Her research interests include cognitive AI, cybersecurity, cyber physical systems, deep learning, psychology, machine learning, security, distributed ledger systems, and biologically inspired systems.