Call for Tutorial Proposals

The conference program includes Tutorials, which will be conducted by leading experts in the field. Details will get updated in the conference website and available in subsequent mailings. As of now we have the following Tutorials confirmed:

Tutorial 1: Recommendation systems using Data mining techniques for Educational Domain

Tutorial 2: Design Challenges in the Wireless Sensor Communications Networks

Proposals for short courses can be submitted to chair@smarttech-conference.org


Date / Time

17 August 2017 (Thursday) / 02:00 pm to 03:30 pm

Tutorial 1

Recommendation systems using Data mining techniques for Educational Domain

Tutorial Speaker

Parkavi.A
Assistant Professor , CSE dept, Ramaiah Institute of Technology

Dr.K G Srinivasa
Associate Professor,ISE HOD, CBP Government Engineering College, New Delhi.

Dr.Lakshmi.K
Dean & Professor, School of Computer Science and Engineering, Periyar Manimmai University, Thanjavur,Tamilnadu


Abstract
Nowadays all Educational standardising bodies like NBA and ISO are concentrating on improving the outcome of educational institutions. For that these Educational standardising bodies have given bench mark of certain criteria to Educational organizations. The organizations which are all meeting the criteria are accredited by these standardising bodies. The stake holders like students, faculty and Job providers also looking for the students with higher outcomes of education. To validate the outcomes of students, the stake holders choose the institutions which are accredited by educational standardising bodies. In this tutorial we are going to demonstrate ,the historical data collected about students, faculty and educational organization can be analysed using data mining techniques. The analysed information can be used further to provide recommendations to improve the efficiency and performance of students, faculty and the Institution. In turn, the outcome of them also can be improved to meet the need of stake holders in highest level
Motivation and rationale
The tutorial will introduce statistics and data mining techniques required to validate and accurately report results. Topics will cover how Educational data is being used to transform education. Specifically, we will demonstrate how exploratory data analysis, data mining, predictive analytics, and visualization techniques are being applied to educational data to improve learning and scale insights driven from student's records.


Biography

Presently Parkavi.A is pursuing her research in Educational Data Mining. She is working on data mining models to analyze Educational data to improve outcome based education using R tool and Python programming.She has published many research papers in conferences and journals based on the study carried out in Educational technology and EDM. She has Organized FDPs and workshops.

Srinivasa K G received his PhD in Computer Science and Engineering from Bangalore University in 2007. He is the recipient of All India Council for Technical Education – Career Award for Young Teachers, Indian Society of Technical Education – ISGITS National Award for Best Research Work Done by Young Teachers, Institution of Engineers(India) – IEI Young Engineer Award in Computer Engineering, Rajarambapu Patil National Award for Promising Engineering Teacher Award from ISTE – 2012, IMS Singapore – Visiting Scientist Fellowship Award. He has published more than hundred research papers in International Conferences and Journals. He has visited many Universities abroad as a visiting researcher – He has visited University of Oklahoma, USA, Iowa State University, USA, Hong Kong University, Korean University, National University of Singapore are few prominent visits. He has authored two books namely File Structures using C++ by TMH and Soft Computer for Data Mining Applications LNAI Series – Springer. He has been awarded BOYSCAST Fellowship by DST, for conducting collaborative Research with Clouds Laboratory in University of Melbourne in the area of Cloud Computing. He is the principal Investigator for many funded projects from UGC, DRDO, and DST. His research areas include Data Mining, Machine Learning and Cloud Computing.

Dr.Lakshmi.K is presently working as Professor & Dean of School of computing science and engineering. Her are of interest in research are Text Categorization, Machine Learning, Information Retrieval, Natural Language processing. She has published many research papers in International Conferences and Journals.


Date / Time

17 August 2017 (Thursday) / 04:00 pm to 06:00 pm

Tutorial 2

Design Challenges in the Wireless Sensor Communications Networks

Tutorial Speaker

Prof. Vivek S. Deshpande,
Chair, IEEE Communication Society, Pune,
Vishwakarma Institute of Technology, Pune University,
India


Abstract
Now-a-days Cyber Physical Systems (CPS) and/or IoT plays predominant role in the cloud communication domain. The main parts of these types of systems are Wireless Sensor Networks, Cloud and communication networks. The data to be disseminated from multiple sources to the destination base station or sink is having vital significance. There are many problems with which data can be conveyed up to the sink. The sink is connected to cloud via communication network. The congestion, reliability, delay, fairness, etc. are of main concern. These can be treated as Quality of Service parameters that govern the performance of the CPS. Above all the Energy s consumption is the main constrain for WSN node. It is very difficult to obtain good QoS by keeping energy consumption low. Even if response of one of QoS parameter will depends on the many other QoS parameters. We have to take care of all QoS parameters to improve the performance of the wireless sensor networks. This Quality of Services may improve the application base of the CPS. With the QoS parameters the data dissemination along with energy optimization is get affected. We have to check the performance of the WSN against the QoS metrics for different data inputs. This may contain the periodic- non periodic data, event based data, transient or busty data. This may lead to new researcher to verify their results and excel their research work accordingly.


Biography

Mr. Vivek S. Deshpande, Dean, Research & Development, MIT College of Engineering, holds Bachelors and Masters of Engineering in Electronics and Telecommunications from Pune University. Currently he is doing a research in Wireless Sensor Networks, embedded systems and High Performance Computer Networks. He is a Chair of IEEE Communication Society, Pune Chapter and Member of IEEE Computer Society, India Council.

Specific topics of interest and Research: Wireless sensor networks, Body area networks, Quality of Service, Algorithm/Protocol development, Mobile Communications and mobility in WSN, Wireless Communications and networking in WSN, Information and Communications technologies in WSN, Simulation, Modeling and analysis and performance evaluations, Network management and services, Health care and home networking, Reviews and Applications: Social, health, sports, environmental, etc.

The Rs.25 lacks of funded projects “Highway Traffic Monitoring Systems (HTMS)” phase-I is done under his guidance. He guided the 10 person’s team of technical researchers. The innovation of palm tops based on Android ported on ARM is having great success of research project. Many industries achieve huge success in their research and development with the kind help of his technical consultancy.

His 25 years of teaching and industrial experience is an asset to the organization. He is working as Associate Professor in Department of Information Technology, His expertise in the field of Wireless computer Networks and Distributed system helps in guidance to the PG students.



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