Internet of Multimedia Things (IoMT)

SHAILENDRA SHUKLA is Assistant Professor at the Computer Science and Engineering Department of the Motilal Nehru National Institute of Technology Allahabad. He received the MS-(Information Security) from the "Indian Institute of Information Technology Allahabad and then completed a Ph.D. from the Indian Institute of Technology Patna in computer science. His doctorial work is based on "On Boundary Detection and Localization in Wireless Sensor Networks". In this work, he proposed a collection of networking algorithms which address the security problems like routing in the Internet of Things, localization, boundary node detection (surveillance), virtual coordinate assignment (Geography routing/localizations), cyber-physical systems, monitoring, and surveillance. He has published articles in various publication houses like in Elsevier, Springer, IEEE. Previously, he was associated with Jaypee University for 5 years. Currently, he is supervising 2 Ph.D. students and guided 5 master students. He has been involved in TEQIP-III research projects in the area of IoT and Telemedicine. Amit Kumar Singh is an associate professor at the Department of Computer Science and Engineering, National Institute of Technology Patna, Bihar, India. Dr. Singh have been recognized as "World Ranking of Top 2% Scientists" in the area of “Biomedical Research" (for Year 2019) and "Artificial Intelligence & Image Processing" (for the Year 2020 and 2021) according to the survey given by Stanford University, USA. Currently, Dr. Singh is the Associate Editor of IEEE Trans. on Multimedia, ACM Trans. Multimedia Comput. Commun. Appl., IEEE Trans. Computat. Social Syst., IEEE Trans. Ind. Informat., IEEE J. Biomed. Heal. Informatics Etc. His research interests include multimedia data hiding, image processing, compression, biometrics, Cryptography. GAUTAM SRIVASTAVA was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2011, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to the rank of Associate Professor in January 2018. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 8-year academic career, he has published a total of 43 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many Taiwanese and Czech universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students. Assoc. Prof. Gautam Srivastava received *Best Oral Presenter Award* in FSDM 2017 which was held at the National Dong Hwa University (NDHU) in Shoufeng (Hualien County) in Taiwan (Republic of China) on November 24-27, 2017.

Part I. IoMT Architectures and Technologies
1. PHY-MAC Protocol for IoMT
2. IoMT communications (IoMT routing)
3. Cross-layer protocols for IoMT
4. Multicasting in IoMT
5. Energy-critical IoMT

Part II. IoMT Computing and Protocols
6. IoMT Coding and compression
7. SDN-based IoMT solutions
8. Fog/Edge-based Computing
9. IoMT routing protocols and quality of services
10. Cognitive Computing for IoMT
11. IoMT big data and cloud computing

Part III. IoMT Applications
12. IoMT for Smart healthcare
13. IoMT in Smart Cities
14. IoMT Smart agriculture
15. Real-Time IoMT applications
16. IoMT in Smart Industries
17. Machine Learning/Deep Learning for IoMT Security
18. IoMT for Traffic Monitoring