Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.Dr. Deepak Gupta is an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Instituteof Technology, Guru Gobind Singh Indraprastha University, India. He obtained his PhD from Dr. APJ Abdul Kalam TechnicalUniversity. He is a post doc research fellow in the Internet of Things research lab at Inatel, Brazil. He has been guest editor for 10special journal issues, including ASoC (Elsevier), NCAA (Springer), Sensors (MPDI) and CAEE (Elsevier). He is Editor-in-Chiefof OA Journal - Computers and Associate Editor of Journal of Computational and Theoretical Nanoscience. Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Select Guide Rating

• 1.Big Data classification: techniques and tools2.Big Data Analytics for healthcare: theory and applications3.Application of tools and techniques of Big data analytics for healthcare system4.Healthcare and medical Big Data analytics5.Big Data analytics in medical imaging6.Big Data analytics and artificial intelligence in mental healthcare7.Big Data based breast cancer prediction using kernel support vector machine with the Gray Wolf Optimization algorithm8.Big Data based medical data classification using oppositional Gray Wolf Optimization with kernel ridge regression9.An analytical hierarchical process evaluation on parameters Apps-based Data Analytics for healthcare services10.Firefly—Binary Cuckoo Search Technique based heart disease prediction in Big Data Analytics11.Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory

Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.Dr. Deepak Gupta is an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Instituteof Technology, Guru Gobind Singh Indraprastha University, India. He obtained his PhD from Dr. APJ Abdul Kalam TechnicalUniversity. He is a post doc research fellow in the Internet of Things research lab at Inatel, Brazil. He has been guest editor for 10special journal issues, including ASoC (Elsevier), NCAA (Springer), Sensors (MPDI) and CAEE (Elsevier). He is Editor-in-Chiefof OA Journal - Computers and Associate Editor of Journal of Computational and Theoretical Nanoscience. Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Select Guide Rating

• 1.Big Data classification: techniques and tools2.Big Data Analytics for healthcare: theory and applications3.Application of tools and techniques of Big data analytics for healthcare system4.Healthcare and medical Big Data analytics5.Big Data analytics in medical imaging6.Big Data analytics and artificial intelligence in mental healthcare7.Big Data based breast cancer prediction using kernel support vector machine with the Gray Wolf Optimization algorithm8.Big Data based medical data classification using oppositional Gray Wolf Optimization with kernel ridge regression9.An analytical hierarchical process evaluation on parameters Apps-based Data Analytics for healthcare services10.Firefly—Binary Cuckoo Search Technique based heart disease prediction in Big Data Analytics11.Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory

Ashish Khanna is Professor in Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India, and is also a Visiting Professor at the University of Valladolid, Spain. His research interests include distributed systems, MANET, FANET, VANET, Internet of Things, and machine learning.Dr. Deepak Gupta is an Assistant Professor in the Department of Computer Science and Engineering at Maharaja Agrasen Instituteof Technology, Guru Gobind Singh Indraprastha University, India. He obtained his PhD from Dr. APJ Abdul Kalam TechnicalUniversity. He is a post doc research fellow in the Internet of Things research lab at Inatel, Brazil. He has been guest editor for 10special journal issues, including ASoC (Elsevier), NCAA (Springer), Sensors (MPDI) and CAEE (Elsevier). He is Editor-in-Chiefof OA Journal - Computers and Associate Editor of Journal of Computational and Theoretical Nanoscience. Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Select Guide Rating

• 1.Big Data classification: techniques and tools2.Big Data Analytics for healthcare: theory and applications3.Application of tools and techniques of Big data analytics for healthcare system4.Healthcare and medical Big Data analytics5.Big Data analytics in medical imaging6.Big Data analytics and artificial intelligence in mental healthcare7.Big Data based breast cancer prediction using kernel support vector machine with the Gray Wolf Optimization algorithm8.Big Data based medical data classification using oppositional Gray Wolf Optimization with kernel ridge regression9.An analytical hierarchical process evaluation on parameters Apps-based Data Analytics for healthcare services10.Firefly—Binary Cuckoo Search Technique based heart disease prediction in Big Data Analytics11.Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory