About the Conference
The primary goal of the conference is to promote research and
developmental activities in
the recent trends in engineering and technology. Big Data and IoT are two concepts that have
taken the industry by storm and revolutionized how the way in which solutions to complex
problems are theorized. These technologies are responsible for the drastic incline in the
number of efficient applications developed as well as the increase in the quality of
In a data-intensive sector like healthcare, the solutions developed
utilizing Big Data and IoT have undeniably better performance and results. Data mining has
cut down the time and manpower required to process, analyze, and manipulate the huge volumes
of unfiltered data being generated every day by a lot, freeing up human resources to perform
other activities of higher priorities. By exploiting the methodologies of IoT, the already
improved processes can be automated for further simplification. Prediction of an outbreak
from processing previously gathered data sets, identifying the most suitable diagnosis and
subsequently a suitable treatment plan, recognizing patterns and establishing correlations
in doctor-patient interactions are some of the few areas were engineering applications of
Big Data and IoT come in handy. With ongoing research covering new ground every day, it is
safe to assume the exponential growth of these concepts is not going to decline any time
soon. With ongoing research covering new ground every day, the scope for fresh optimised
solutions is at an all-time high, and these technologies are right in the middle of it. This
conference aims to shed light on the recent advances made in these revolutionary concepts
and introduce creative solutions to the industry. It also helps to unite great minds who
believe in the need for a technologically literate society.
About The Seminar
Big Data and IoT are major buzzwords in any sector with computerized applications. These technologies have revolutionized industries and drastically modified the approach taken when theorizing a solution. This seminar will act as a place of open communication and mutual learning helping to foster the growth of acting with foresight. Every application developed using Big Data and IoT has better performance and is more costly as well as time-efficient than its traditionally developed counterpart. Such drastic changes are bound to have an impact on the society in which these applications are deployed. At a glance, with the amount of time and labor saved, these resources can be allocated to areas that are in dire need of assistance thereby ensuring that quality of service offered is improved while not compromising on quantity. Especially in the field of healthcare, such an impact is immensely beneficial since the industry thrives on providing optimal care for every healthcare seeker. As with any implementation of major change, there are positive as well as negative impacts on the society to be considered. This seminar aims to provide a venue for introspection and to evaluate the cost that comes with using Big Data and IoT in society with following topics:
- Significance of Machine Learning and Deep Learning techniques in Healthcare
- Machine Learning and Deep Learning techniques in Industrial applications
Dr. Biren Prasad
(Inaugural Address for this conference)
Professor, California Institute of Technology, Pasadena, United States Editor-in-Chief: Concurrent Engineering, SAGE Publication.
Dr. Nilanjan Dey
Professor -Techno India College of Technology, India.
Editor-in-Chief: Int. J. of Ambient Computing and Intelligence,
IGI Global Publication.
Dr. Sunil Aggarwal
Research MinersINC & Director,Trustmachines,
VP, Experience in Teaching,
Research and Startup ecosystem,India.
Dr. Xavier Fernando
Professor, Ryerson Communications
Lab, Dept. of Electrical and Computer Eng., Ryerson University, USA.
Dr. Stephen Olatude Olabiyisi
Professor of computer science
Ladoke Akintola University of technology
Dr. Phaklen Ehkan
School of Computer and Communication Engineering, Universiti Malaysia Perlis (UniMAP),Malaysia
Chairman - IEEE Madras Section
DRDO, Ministry of Defense, IIT Madras Research Park, Chennai, India
Professor, Department of Computer
Science and Engineering, NIT, Durgapur, W.B. India.
Dr. Vishal Goyal
Professor, Department of Computer
Science and Engineering, Punjabi University, Patiala, Punjab, India.