Keynote Speakers

Speaker: Dr. Juan Manuel Corchado, European IoT Digital Innovation Hub, BISITE Research Group, University of Salamanca, Spain

Title of Talk: Blockchain and its Applications on Edge Computing, Industry 4.0, IOT and Smart Cities

Biography: Juan Manuel Corchado (born May 15, 1971 in Salamanca, Spain). He is Full Professor with Chair at the University of Salamanca. He was Vice President for Research and Technology Transfer from December 2013 to December 2017 and the Director of the Science Park of the University of Salamanca, Director of the Doctoral School of the University until December 2107 and also, he has been elected twice as the Dean of the Faculty of Science at the University of Salamanca. In addition to a PhD in Computer Sciences from the University of Salamanca, he holds a PhD in Artificial Intelligence from the University of the West of Scotland. Juan Manuel Corchado is Visiting Professor at Osaka Institute of Technology since January 2015, Visiting Professor at the University Teknologi Malaysia since January 2017 and a Member of the Advisory group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL). Corchado is the Director of the BISITE (Bioinformatics, Intelligent Systems and Educational Technology) Research Group, which he created in the year 2000, President of the IEEE Systems, Man and Cybernetics Spanish Chapter, Academic Director of the Institute of Digital Art and Animation of the University of Salamanca. He also oversees the Master´s programs in Digital Animation, Security, Mobile Technology, Community Management and Management for TIC enterprises at the University of Salamanca. Corchado is author of over 800 research peer review papers and books and is also editor and Editor-in-Chief of Specialized Journals like ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal) and OJCST (Oriental Journal of Computer Science and Technology).

Abstract: Blockchain is the technology behind bitcoin, ether and most of the other cryptocurrencies. Blockchain is essentially a form of record keeping and can be used in almost any product that uses some form of record keeping or database management. Blockchain is ideal for protecting any data that needs to be unalterable and indestructible. Traditionally, data are kept on a server that is owned and operated by a third-party company. This approach has some disadvantages. In this way, if a third party has access to your data, they could be destroyed, they could be altered, and it could leak. Through Blockchain, data are encrypted and then propagated over a distributed network of computers. In this way, data are nobody's properties, data cannot be destroyed and altered. Data block are sets of permanently recorded data e.g. financial transactions. The information is first hash which is a way to represent the data in a compact format where data can be easily compared for any change. Any small change in the data completely changes the hash version which makes the comparison very easy. The hash data are then encrypted. One private key allows the producer of the data to encrypt the data and serves as a digital signature. Also, one public key allows everyone else with the key to decrypt it. Finally, the data blocks are connected to each other (chained). Bitcoin is simply an application of Blockchain but there are many other applications where this technology has a lot to say. The application of this technology is endless in all fields but with respect to industry there are fields in which use is more and more common e.g. Supply Chain Management, Health Care and medical record sharing, Media Distribution, E-commerce with no middleman, Sharing economy with no central authority, Authenticated News Sharing/Data Sharing, Data Sharing Between companies.

Edge Computing, Industry 4.0, IOT and Smart Cities are areas in which Blockchain has high impact. The IoT refers to the ever-growing network of physical objects that feature an IP address for internet connectivity, and the communication that occurs between these objects and other Internet-enabled devices and systems. The risk of connecting a machine to Internet is obvious and Blockchain may help to eliminate or at least reduce some of these risks. The industry is updating its processes to be more efficient. Industry 4.0 is a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs, that’s the reason why a technology such us Blockchain if also of great interest to guaranty security and data reliability. The main aim of this tutorial is to introduce Blockchain technology and represents its practical application in security of Industry 4.0, Smart cities, Smart homes, and Internet of Thing.

Speaker: Dr. Sudhan Majhi, Associate Professor in Electrical Engineering, Indian Institute of Technology, Patna, India

Title of Talk: Physical Layer Security for MIMO-NOMA Based Cognitive Radio Networks

Biography: Bio: Dr. SUDHAN MAJHI is currently an Associate Professor in the Department of Electrical Engineering and Mathematics, Indian Institute of Technology, Patna, India. Currently, he is Fellow of Sir Visvesvaraya Young Faculty Research awarded by Meity. He is also An Editor of IEEE Transactions on Vehicular Technology. He received M.Tech degree in Computer Science and Data Processing from Indian Institute of Technology, Kharagpur, India in 2004 and the Ph.D. degree from Nanyang Technological University, Singapore in 2008. He has postdoctoral experience with University of Michigan- Dearborn, MI, USA, Institute of Electronics and Telecommunications, Rennes, France and Nanyang Technological University, Singapore. He has received best academic award in NI ASEAN Graphical System Design Achievement Awards 2012. He has received young scientist start-up grand from DST. Currently he is Associate editor of Circuits, Systems and Signal Processing – Springer. His research interest includes signal processing for wireless communication which includes blind synchronization and parameter estimation, cooperative communications, physical layer security for cognitive radio, sequence design, OFDM, MIMO, SC-FDMA, and MIMO-OFDM. For more details please visit https://www.iitp.ac.in/spwicom/ .

Abstract: The talk will be on designing physical-layer security for both primary user (PU) and secondary user (SU) in the underlay multiple-input multiple-output cognitive-radio network (MIMO-CRN) by using a bi-directional zero-forcing beamformer. The proposed method enables the PU to communicate along with the SU through a relay node without sacrificing their individual secrecy capacity, i.e., without causing interference to each other even in the presence of eavesdropper(s). In the first phase, a transmit beamforming at the PU/SU transmitters and a receive beamforming at the relay have been adopted to separate PU and SU data. In the second phase, a bi-directional beamformer has been applied to eradicate the necessity of involving artificial noise for preventing the active eavesdropper(s). To maximize the total secrecy capacity, a generalized non-linear optimization problem has been formulated and converted to a simplified constrained optimization problem by utilizing the beamformer and the subspace restriction. Then this problem is solved by the Lagrangian method. Both theoretical and numerical analyses of the total and individual ergodic secrecy rates are provided to demonstrate the effectiveness of our proposed method. The secrecy outage probability is also derived to evaluate the performance variations of our proposed scheme when the channel-estimation error occurs. The physical layer security issue has been extended for non-orthogonal multiple access (NOMA)-CRN where multi-cluster and multi-cell have been considered. A cascaded beamforming technique with alignment vector has been proposed to remove the restriction on number antennae at the transmitter.

Speaker: Prof. P. Nagabhushan, Indian Institute of Information Technology, Allahabad, India

Title of Talk: Histo and Interval type of Data Space

Biography: Dr. P. Nagabhushan, Director, Indian Institute of Information Technology, Allahabad is Professor in Computer Science and Engineering, University of Mysore, Mysore. He has more than three and half decades of teaching. Prior to joining IIITA as Director, he has served several administrative positions such as Chief Nodal Officer, Choice Based Credit Pattern Continuous Assessment Education System, University of Mysore; Director, Planning, Monitoring and Evaluation Board; Dean, Faculty of Science and Technology; Director, Center for Information Science and Technology at University of Mysore, Mysore, India. He was also distinguished Professor and Chairman at Amrita Vishwavidyapeetam, Amrita University, Coimbatore; Director, Bangalore Educational Society for Technology Advancement and Research and Principal, Bangalore Technological Institute, Bangalore. He is actively associated with various academic, statutory and professional bodies. He is the member of academic councils and Board of studies of several universities. He has been serving as an active member in Technical Advisory committee at Indian Statistical Institute, Kolkata, School Board member of Central University of Hyderabad and Academic council member of Islamic University of Science and Technology, Awantipora, Jammu & Kashmir. He is also visiting Professor and acting as subject expert in many Universities and Institutes. There are various high profile committees of AICTE, UGC, DST, PSC, NBA, ISRO, DRDO, RECs (now NITs) where Prof. Nagabhushan was an active member. Prof. Nagabhushan has worked as Investigator in several major funded projects.

He has also rendered his services in a number of foreign Institutions such as invited Professor at University of Dauphine, Paris, France; Visiting Professor, Tokyo Denki University, Japan; Exchange Professor, Saginaw Valley State University, USA; Visiting Scientist, INRIA, Rocquencourt, France; Invited Expert, Michigan State University, USA; Invited Expert for assessing programs of Computer Science and Technology, University of Medical Sciences and Technology, Sudan; Team member of Bilateral Indo-Russia Workshop, University of Moscow, Russia. He is Fellow of Institution of Electronics and Telecommunication Engineering and Fellow of Institution of Engineers. He is a fellow of International Academy of Physical Sciences. He was offered the prestigious Visiting Professorship award of ISTE. He is also awarded ICCR 2008 Outstanding Academician and Researcher- Award in appreciation of life time contribution to the field of Computer Science and Engineering; ICICOT 07 Outstanding Academician Award; IEEE– ICSIP– 06 Award in appreciation of life time contribution to the field of Signal and Image Processing. Recently he has been awarded Lifetime Achievement Award-RTIP2R- 2016 for Outstanding Achievement, Global Leadership and Dedicated Service to the field of Image Processing and Pattern Recognition.

On academic front, he has successfully guided 28 numbers of PhDs, and has authored more than 500 numbers of Research Papers out of which more than 100 papers are DBLP indexed. The citation index of 1944 with H-index of 21 and i10 index of 58 reflects his academic accomplishments. .

Abstract: Every sample is multi-featured , and the generic understanding that every feature is characterized by an unique numeric value is an ideal expectation.The pragmatic aspects that every feature could be composed of several observations,could be due to temporal assimilation,could be descriptive;and that even a sample itself need not be an individual but could be a 'collective unit' , would make the data representation , complex from algorithmic perspective,though philosophically that is the most natural or in other words the most generic. "Edwin Diday" phrases such generic data analysis as 'Symbolic Data Analysis-SDA'. From Big-Data perspective clustering/classification analysis of such Symbolic samples requires an effective way to compute Distance between such samples. A simpler way of visualizing such Symbolic features is to represent them as histograms and a generic way to compute distances between Histo-Symbolic Objects will be presented. Further, if time permits, a model for dimensionality reduction of interval type of Symbolic features will also be presented.