About Institution

Rajalakshmi Institute of Technology started in the year 2008, under the aegis of Sabari Foundation. Rajalakshmi Institute of Technology looks at education differently. The college grooms students academically, professionally and personally for a successful career. The college prepares students with diverse abilities, talents and interests to meet the new realities, challenges and requirements of the global market. The college aims not only to impart knowledge but also helps the students to be technocrats with high personal integrity. While encouraging liberal learning, the institution also nurtures ethical standards and values. The college has been approved by All India Council of Technical Education(AICTE), New Delhi & Government of Tamil Nadu and is affiliated to Anna University, Chennai. The College is certified by the ISO 9001:2008 for academic standards.

About Department

Department of Computer Science and Engineering (CSE) was established in the year 2008.The mission of CSE department is to produce globally competent and highly employable professionals, who will be innovative in solving real world problems. The vision of CSE department is to empower the students with high quality technical education in the field of Computer Science and Engineering to face the challenges of modern computing industry and research for the positive contributions to the society. The BE(CSE) program has been accredited by National Board of Accreditation(NBA) for the years 2016-19. The department has MoUs signed with ARM University, LinuXperts Systems, etc. The department has been awarded “Best Accredited Student Branch Award" for the year 2014-15 and 2016-17 by the Computer Society of India for the contribution through society body. NCDSIIT’18 is supported by CSI and Technically supported by IEEE.

About Conference

National Conference on Data Science and Intelligence Information Technology (NCDSIIT) started in 2017 aiming to be a flagship in the data science and Information science. Data driven intelligent analysis is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, health-care and cloud. The first was held at Rajalakshmi Institute of Technology in 2017 which was also very successful. The Second Conference NCDSIIT’18 provides a premier forum that brings together researchers, industry practitioners, as well as potential users of data science, big data and advanced analytics, to promote collaborations and exchange of ideas and practices, discuss new opportunities and investigate the best actionable analytics framework for wide range of applications. It covers all data science and Information science related areas, including Artificial Intelligence, statistical, probabilistic and mathematical methods, machine learning, data and business analytics, data mining and knowledge discovery, infrastructure, storage, retrieval and search, privacy and security, relevant applications, practices, tools and evaluation. NCDSIIT’18 will consist of four main Tracks: Data Processing Technology, Data System & Application, Intelligent Information Technology and Intelligent System Engineering. Data processing technology involves using computers to enter, process and manage data. Data processing technicians are experts in many different types of computer technologies, including software for word processing, spreadsheets, design, database management and desktop publishing. Data System & Application are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. The importance of data intensive systems has been raising and will continue to be the foremost fields of research. Intelligent information technology (IIT) for the purpose of education within the blended learning paradigm. The technology is based on the construction of mixed diagnostic tests (MDTs) used for decision-making. Each MDT represents a compromise between unconditional and conditional components. Intelligent System (IS) can be defined as the system that incorporates intelligence into applications being handled by machines. Intelligent systems perform search and optimization along with learning capabilities. Different types of machine learning such as supervised, unsupervised and reinforcement learning can be modelled in designing intelligent systems.


Mr. S. Meganathan
Rajalakshmi Institutions

Dr. (Mrs.)Thangam Meganathan
Rajalakshmi Institutions

Dr. Haree Shankar Meganathan
Rajalakshmi Institute of Technology


Dr. M. Velan
Rajalakshmi Institute of Technology


Dr. M. Geetha
Professor & Head of the Department, CSE
Rajalakshmi Institute of Technology


Dr. D. Jayashree
Professor, CSE
Rajalakshmi Institute of Technology

Advisory Committee

Dr. Tarachand Amgoth
Asst. Professor, CSE
Indian Institute of Technology (ISM), Dhanbad

Dr. V. Masilamani
Asst. Professor, CSE
IITDM, Kancheepuram

Dr. Laxmi Srivastava
Professor, EEE
MITS, Gwalior, Madhya Pradesh

Dr. K. Pradheep Kumar
Asst. Professor, CSE
Birla Institute of Technology and Science

Dr. S. Margret Anouncia
Professor, School of Computing Science and Engineering (SCSE)
VIT University, Vellore

Dr. R. Nedunchelian
Professor, CSE
Sri Venkateswara College of Engineering, Sriperumbudur

Dr. J. Sreedhar
Asso. Professor, CSE
BV Raju Institute of Technology, Hyderabad

Dr. G. Kumaravelan
Asst. Professor, CSE
Pondicherry University

Dr. S. Janakiraman
Asst. Professor, Dept of Banking Technology
Pondicherry University

Dr. A. Kannan
Professor, Dept of IST
Anna University

Dr. S. Swamynathan
Asso. Professor, Dept of IST
Anna University

Dr. P. Yogesh
Asso. Professor, Dept of IST
Anna University

Dr. K. Selvamani
Asst. Professor, Dept of CSE
Anna University

Mr. Roy Antony Arnold
Head-Industry Academia Collaboration

Mr. D. Venkatesan
Anna University, Trichy

Dr. SP. Chokkalingam
Saveetha university, Chennai

Dr. B. Amutha
SRM Institute of Science & Technology, Chennai


Dr. R. Lalitha
Professor, CSE

Dr. O. Pandithurai
Asso. Professor, CSE

Mr. L. Maria Michael Visuwasam
Asst. Professor (SG), CSE

Ms. L. Paul Jasmine Rani
Asso. Professor, CSE

Mr. R. Velumadhava Rao
Asst. Professor, CSE

Mr. V. Ashok
Asst. Professor, CSE

Mr. R. Gnanavel
Asst. Professor, CSE

Mr. K. Dhinakaran
Asst. Professor, CSE

Organizing Committee

Mr. S. Pradeep Kumar
Asso. Professor, CSE

Ms. B. Udaya
Asso. Professor, CSE

Ms. D.K. Aarthy
Asst. Professor, CSE

Ms. V. Swetha
Asst. Professor, CSE

Ms. T. Indhumathi
Asst. Professor, CSE

Ms. T. Illakiya
Asst. Professor, CSE

Ms. P. Baby Shamini
Asst. Professor, CSE

Ms. P. Sreelekha
Asst. Professor, CSE

Ms. P. Deepika
Asst. Professor, CSE

Ms. S. Ramijaanaki
Asst. Professor, CSE

Ms. G. Kalpana
Asst. Professor, CSE

Ms. A. Jency
Asst. Professor, CSE

Important Dates

Deadline for Paper Submission

15th March 2018

Notification for Paper Acceptance

20th March 2018

Last date for Camera Ready Paper submission

26th March 2018

Last date for Registration

2nd April 2018

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments
  in the topics related to the conference.
• It is required that the manuscript follows the standard IEEE camera-ready format(IEEE standard format, double column,
  10-point font).
• Submissions must include title, abstract, keywords, author and affiliation with email address.
• Please double-check the paper size in your page setup to make sure you are using the letter-size paper layout
   (8.5 inch X 11 inch).
• The paper should not contain page numbers or any special headers or footers.
• The IEEE templates in Microsoft Word(US Letter) and LaTeX format can be found at : Templates

List of Topics

• Cloud Computing and Database-as-a-server
• In Memory Analytics
• Database Privacy, Security and Trust
• Big data lakes and Deep Learning
• Big data analytics in the cloud
• Parallel and Distributed data storage and Processing infrastructure
• Data sensing, fusion and mining
• Meta data management
• Storage and File systems
• Digital Twins
• Edge Computing
• Augmented Reality
• Blockchain
• Realtime Data intensive systems
• Data Intensive Computing on Accelerators and GPU
• Mathematical Issues in Data Science
• Semantic Web, web services and ontologies
• Intelligent information retrieval and business intelligence
• Intelligent decision support systems
• Models, architectures and behavior models for agent-oriented information   systems
• Manufacturing information systems
• Human-agent interaction and experimental evaluation
• Agent-based auction, contracting, negotiation, and e-commerce
• Reasoning, learning, and adaptive systems
• Energy and Power Systems
• Sensors and Sensor Fusion
• Smart Wireless Sensors and Systems
• Intelligent Industrial Process Control
• Intelligent Vehicles and System Engineering
• Intelligent Systems Engineering
• Intelligent Robotics and Control
• Intelligent Signal & Image Processing Techniques and Applications
• Intelligent Healthcare Systems

Registration Fees

Industrial Participants : 1250/-

Academician/Research Scholars : 1000/-

UG/PG Students : 750/-

CSI Member (UG/PG Students) : 500/-


The Coordinators,
Dr. O.Pandithurai,
Mobile No. : 9976857659
Mr. L. Maria Michael Visuwasam,
Mobile No. : 9840882347
Rajalakshmi Institute of Technology,
Kuthambakkam(PO), Chennai-600 124
Email : ncdsiit18@ritchennai.edu.in