Efficient Data Handling for Massive Internet of Medical Things
Healthcare Data Analytics
- Vår pris
Leveringstid: Sendes innen 21 dager
Leveringstid: Sendes innen 21 dager
Forlag: Springer Nature Switzerland AG
Format: 24 x 16 cm
- Helse- og sikkerhetsaspekter ved IT
- Kommunikasjonsteknikk / telekommunikasjon
- Biomedisinsk teknikk
- Medisin- og helsefaglig informatikk
- Kybernetikk og systemteori
Dr. Uttam Ghosh is working as an Assistant Professor of the Practice in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA. Dr. Ghosh obtained his PhD in Electronics and Electrical Engineering from the Indian Institute of Technology Kharagpur, India in 2013, and has Post-doctoral experience at the University of Illinois in Urbana-Champaign, Fordham University, and Tennessee State University. He has been awarded the 2018-2019 Junior Faculty Teaching Fellow (JFTF) and has been promoted to a Graduate Faculty position at Vanderbilt University. Dr. Ghosh has published Forty papers at reputed international journals including IEEE Transaction, Elsevier, Springer, IET, Wiley, InderScience and IETE, and also in top international conferences sponsored by IEEE, ACM, and Springer. Dr. Ghosh has conducted several sessions and workshops related to Cyber-Physical Systems (CPS), SDN, IoT and smart cities as co-chair at top international conferences including IEEE MASS, IEEE SECON, IEEE CPSCOM, IEEE IEMCON, IEEE ICDCS and so on. He has served as a Technical Program Committee (TPC) member at renowned international conferences including ACM SIGCSE, IEEE LCN, IEMCON, STPSA, SCS SpringSim, IEEE Compsac. He is serving as an Associate Editor of the International Journal of Computers and Applications, Taylor & Francis, and also a reviewer for international journals including IEEE Transactions, Elsevier, Springer and Wiley. Dr. Ghosh is contributing as guest editor for special issues with ACM Transactions on Internet Technology (TOIT), Springer MTAP, Wiley ITL. He is a Senior Member of the IEEE and a member of AAAS, ASEE, ACM, and Sigma Xi. His main research interests include Cybersecurity, Computer Networks, Wireless Networks, Information Centric Networking and Software-Defined Networking, Energy Delivery Systems, Cloud Computing.
Dr. Vinayakumar Ravi is working as a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Jegga Lab, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. He received his Ph.D. degree in computer science from Computational Engineering & Networking, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India. His Ph.D. work centre's on application of machine learning and deep learning for Cyber Security and discusses the importance of natural language processing, image processing and big data analytics for Cyber Security. His research interests include application of data mining, machine learning (including deep learning), natural language processing and image processing for Cyber Security, big security data analytics, disease gene discovery/prioritization, computational drug discovery and drug repositioning. Dr. Ravi has more than 50 research publications in reputed conferences and journals. Ravi's publications include prestigious conferences in the area of Cyber Security, like IEEE S&P and IEEE Infocom. He has given many invited talks on deep learning applications in IEEE conferences and Industry workshops in 2018. He has got a full scholarship to attend Machine Learning Summer School (MLSS) 2019, London. Dr. Ravi has served as a Technical Program Committee (TPC) member at international conferences including SSCC, IEEE TrustCom, and IEEE SmartData. He is an editorial board member for Journal of the Institute of Electronics and Computer and he has organized a shared task on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18.
Dr. Yogesh Shelke has more than a decade of experience spanning roles from IP researcher, innovation consulting and med-tech advisory to leading healthcare companies, to drive their future R&D strategies. Starting his career as physician in tertiary care delivery centers, he has been acknowledged for his expertise in emerging healthcare trends such Internet of Medical Things, Artificial Intelligence and Machine Learning for healthcare applications, Data analytics in care delivery, and product development in digital healthcare domain. He has been associated with industry-academic collaborations, Journal editorials, conferences and strategic research initiatives from healthcare organizations.