International Conference on Computational Intelligence in Data Science
June 2 & 3,2017


The conference provides an opportunity for the researchers, engineers, developers and practitioners from academia and industry to discuss and address the experimental, theoretical work and methods in solving problems and to share their experience, exchange and cross-fertilize their ideas in the fields of Data Science and Computational Intelligence. This conference will be useful for professionals working in data science, big data, machine learning, artificial intelligence and predictive modeling.


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Dr.Sundaram Suresh
Deputy Director - Robotics Research Center
Cluster Director - ERI@N
School of Computer Science and Engineering
Nanyang Technological University
Dr.Matthew Chua Chin Heng
Principal Investigator
Medical & Cybernetics Systems
Institute of System Science
National University, Singapore
Veeraraghavan Narayanaswamy
Founder & COO
BigTapp Private Ltd
Dr.Manish Shrivastava
International Institute of Information Technology
Dr.Avinash Sharma
International Institute of Information Technology


  • Chief patron

    • Dr. Shiv Nadar

    • Founder, SSN Institutions & Chairman, HCL Technologies
  • Patron

    • Ms. Kala Vijayakumar

    • President, SSN Institutions
  • General Chair

    • Dr.S.Salivahanan

    • Principal, SSN College of Engineering
    • Dr.Chitra Babu

    • HoD, Department of CSE, SSN College of Engineering
  • Conference Chair

  • Conference Co-Chair

      Mrs.S.V.Jansi Rani
  • Treasurer

    • Mrs. S. Lakshmi Priya

Technical Program Committee

  • Dr.Anbarasu, IIT Indore, India

  • Dr.Andy Witkowski, Oracle, USA

  • Dr.Anitha R, SVCE, Chennai, India

  • Dr.Asif Kidwai, CEO, HealthData, USA

  • Dr.Chandrasekar C, IIT Madras, India

  • Dr.Chua Chin Heng Matthew, NUS, Singapore

  • Dr.Farida Begam Mohamed Hussain, MAMIT, Trichy, India

  • Dr.R.K.Kamat,Shivaji University, India

  • Dr.Kavita Oza,Shivaji University, India.

  • Dr.Lakshmi C, SRM, India

  • Dr.Latha Parthiban, Puduchery University, India

  • Dr.V Mohan Raj, SCE, Salem, India

  • Dr.Mudholkar R R,Shivaji University, India.

  • Dr.Paul Devashayam Manuel, Kuwait University, Kuwait

  • Dr.Premkumar K, IITDM, India

  • Dr.Ramadoss B, NIT, Trichy, India

  • Dr.Ramalatha Marimuthu, KCT, Coimbatore, India

  • Dr.Balaraman Ravindran, IIT Madaras, India

  • Dr.Shajith Iqbal, IBM Research, India

  • Dr.Sivaselvan B, IITDM, India

  • Dr.Srikanth Bellamkonda, Oracle, USA

  • Dr.Srinivasa Rao K, IIT Kharagpur, India

  • Dr.Sriram Kailasam, IIT Mandi, India

  • Dr.Subrahmanyam K, K L Univeristy, India

  • Dr.Sunando Sengupta, Research Engineer, Oxehealth, UK

  • Dr.Sundaram Suresh, NTU, Singapore

  • Dr.Vadivel S, BITS, Dubai

  • Dr.Veena T, NIT GOA, India

  • Dr.Vijaya Kumar B, BITS, Dubai


We invite high-quality submissions describing original and unpublished work for the conference. Accepted submissions will be included in the IEEE Xplore Digital Library.

All submissions will be subject to plagiarism check. Papers submitted for consideration should not have been published elsewhere and should not be under review or submitted for review elsewhere during the duration of consideration. At least one author of an accepted paper must register for the conference and present the paper in the conference. Only the presented papers will be included in the proceedings.

Papers that do not make the grade for publication, yet show promise, may be selected for poster presentation instead. If you are specifically interested in submitting a poster, then please ensure that the paper does not exceed 4 pages (including figures, references and appendices).

Topics of Interest

The theme of this conference is use of Computational Intelligence in Big Data. The papers need not be based only on this theme. Topics of interest for the conference include, but are not restricted to:


  • Foundations

    • Probabilistic and statistical models and theories
    • Machine Learning algorithms for high-velocity streaming data
    • Scalable analysis and learning
    • Data pre-processing, sampling and reduction
    • High dimensional data, feature selection and feature transformation
    • High performance computing for data analytics
    • Architecture, management and process for data science
  • Data analytics, machine learning and knowledge discovery

    • Knowledge discovery theories, models and systems
    • Learning for streaming data
    • Intent and insight learning
    • Cross-media data analytics
    • Big data visualization, modeling and analytics
    • Multimedia/stream/text/visual analytics
  • Computational Intelligence and Big Data Analytics

    • Computational theories for big data analysis
    • Incremental learning – theory, algorithms and applications in big data
    • Sparse data, feature selection, feature transformation – theory, algorithms and applications for big data
    • Associative memories
    • Probabilistic and information-theoretic methods
    • Supervised, unsupervised and reinforcement learning
    • Support vector machines and kernel methods
    • Time series analysis
    • Algorithms and libraries - Optimization for Big Data Analytics


Submission Guidelines

All submissions must be prepared in IEEE conference format, in English and must not exceed 6 pages (including figures, references and appendices). Guidelines for paper formatting can be found at

Guidlines Link (Click here)

Submissions that violate formatting will be declined without review. Papers must be submitted electronically through the submission site at



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1 Paper Submission Opens 16 Jan 2017
2 Last Date for Paper Submission 31 March 201710 April 2017CLOSED
3 Notification of Acceptance Commences 25 April 2017
4 CRC Submission & Registeration Commences 05 May 2017


The registration fee covers the cost of the conference registration kit, participation in all the activities of the conference, lunch and intersession tea.
At least one author must register, Co-authors can register as a listener.

Registration fees

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IEEE Members (INR) Non Members (INR)
Indian(₹) Foreign($) Indian(₹) Foreign($)
Student 5,500/- 200 6,500/- 250
Academician / R&D 6,500/- 250 7,000/- 300
Industry 7,000/- 300 7,500/- 350
Listener 4,000/-
Workshop -₹2,500 ($150)

Registration Link

Link for Presenter CLOSED

Link for Listener CLOSED


Registration Link

Workshop Registeration

Bank Details



  • Workshop - Session 3 - USING TensorFlow:

Learning Computational Intelligence in Data Science helps researchers to gain knowledge and skills for analyzing, interpretation, and visualization of complex, high-volume, high-dimensional and structured/unstructured data. Data Science deals with structured as well as unstructured data and it is a field that comprises of statistics & mathematics with the process of capturing data, data cleansing and preparing the data for analysis.

In a simple way, data science tries to extract essential information from the data. It also encompasses the areas of data analytics, machine learning, optimization and managing big data, and has become critical to understand from large datasets and also in conversion of data into actionable intelligence.

Computational Intelligence (CI) is the study of computational methods in exhibiting intelligence. These methods adapt to both dynamic environments and goals. There is also a significant overlap between the fields of CI and Artificial Intelligence (AI). An important part of CI is to find a solution for complex problems, where traditional methods fail. Nowadays, all organizations collect enormous amounts of data that is used to solve the problems in technology, healthcare, defense and fraud detection. These data are crucial to the organization because they are unlabeled and unstructured and hence it becomes complex to analyze it.

Deep Learning algorithms, improvise with the data and keep on learning, making the analysis easier. It exploits the large amounts of data, capable of analyzing in different formats. Some of the areas where deep learning offers unique solutions are listed below: i) Semantic Indexing - Presents the data in a manner, useful for discovery of knowledge from it. ii) Performing Discriminative tasks on big data - applies simple linear analysis and offers computational efficiency. iii) Semantic Tagging - Presents the data in the form of high-level abstractions iv) Social Targeting - Has the potential to guess the emotions from the text, can predict one’s future behavior.

The workshop will renovate the needs and explore cutting-edge research topic - Deep Learning for Data Analytics .


June 2, 2017

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Time Event Venue
8:00AM to 9:30AM Registration & Inauguration Central Seminar Hall
9:00AM to 10:30AM Keynote Address-1: "Spiking Neural Networks and Neuromorphic System: Understanding and Modelling the Human Brain" by Dr. Suresh Sundaram, Nanyang Technological University, Singapore Central Seminar Hall
10.30AM to 11.00AM Coffee Break
11:00AM to 12:30PM Workshop - Session 1: "Deep Learning in Computer Vision for Image, Video And 3D Shape Analysis" by Dr. Avinash Sharma, IIIT, Hyderabad CSE Seminar Hall
11:00AM to 12:30PM Workshop - Session 2: "Convolutional Neural Networks and Sequence Models for Natural Language Processing Tasks" by Dr. Manish Shrivastava, IIIT, Hyderabad IT Seminar Hall
12.30PM to 1.30PM Lunch
1:30PM to 3:00PM Workshop - Session 3: " TensorFlow " by Dr. R. S. Milton, Department of CSE, SSN College of Engineering CSE Seminar Hall
3:00PM to 3:30PM High Tea
3:30PM to 5:00PM Paper Presentation – Session 1 - List of Papers: CSE Seminar Hall

June 3, 2017

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Time Event Venue
8:30AM t0 9:30AM Keynote Address-2: " Towards Digital Manufacturing of Patient Specific Medical Devices" by Dr. Matthew Chua Chin Heng, National University Singapore CSE Seminar Hall
9:30AM to 10:.30AM Keynote Address - 3: Mr. Veeraraghavan Narayanaswamy, BigTapp Private Ltd, Singapore CSE Seminar Hall
10:30AM to 11:30AM Coffee Break
11:00AM to 12:30PM Paper Presentation - Session 2 - List of Papers: CSE Seminar Hall
11:00AM to 12:30PM Paper Presentation – Session 3 - List of Papers: IT Seminar Hall
12:30PM to 1:30PM Lunch
1:30PM to 2:30PM Paper Presentation - Session 4 - List of Papers: CSE Seminar Hall
2:30PM to 3:00PM Validectory CSE Seminar Hall
3:00PM High Tea


SSN College of Engineering , Old Mahabalipuram Road, Kalavakkam, Tamil Nadu 603110, India .

Airport : 36 km from Anna International airport
Railway station : 44 km from Chennai Central railway station
Bus Depot : 6 Km from Kelambakkam Bus Depot

Visit the College's Website for more information .


Accommodation Tarif Details

Hostel 1 (Single Occupancy)(INR)
Non AC(₹) AC (₹)
Single Double
500 900

Delegates looking for accommodation outside the conference venue can find in any of the below listed hotels which are at a distance of 4 to 14 km (5 to 20 minutes drive).

For details visit the following links:

Gokulam Park Sabari OMR (14 km)

Southern Residency OMR (4 km)

Days Hotel Chennai OMR (5 km)


  • Conference Co-Chairs, ICCIDS 2017

  • Department of Computer Science and Engineering

  • SSN College of Engineering

  • Old Mahabalipuram Rd, Kalavakkam, Tamil Nadu 603110

  • Phone: 044 2746 9700

  • Email: iccids@ssn.edu.in

  • Mobile No.:

    • Venkata Vara Prasad +919444480822

    • Suresh Jaganathan +919444753058

    • Balasubramanian +919444574970

    • Jansi Rani +919176620011


About the Institution

Sri Sivasubramaniya Nadar College of Engineering (SSNCE) is the outcome of the vision and initiative of Dr. Shiv Nadar, Chairman, HCL Technologies, a pioneer in the field of Information Technology. The Institution reflects the ideals of its founder and seeks to achieve excellence both as an academic institution and advanced research centre. The Institution was established in 1996 on a sprawling campus of 250 acres on the Rajiv Gandhi Road (OMR) known as "Cyber Corridor" of Chennai. The Institution is certified with ISO 9001:2008. All existing programmes have been accredited by the NBA-AICTE. The management awards over 450 scholarships every year to meritorious and deserving students. The college has been awarded as the Asia’s Best Private Educational Institute in the Engineering & Technology category in 2013.The award has been instituted by World Consulting and Research Corporation (WCRC). SSN Institutions have adopted advanced wireless technology to enhance teaching and learning process through e-Learning initiative. The college has an ambitious initiative to pursue high quality research. Funded projects worth 4 crores are currently underway. In addition, the college has conducted 10 international conferences so far.

About the Department

The department offers B.E degree program in Computer Science and Engineering and M.E degree programs in Computer Science and Software Engineering. Prominent and leading employers are Amazon, eBay, Microsoft, Success Factors, Zoho, MU Sigma, Accenture, Cognizant, Infosys, Wipro, ThoughtWorks, Aricent Group, Inautix and others. In addition, a sizeable number of students are pursuing PG studies in renowned institutions in India and abroad. It is recognized as a research centre by Anna University, Chennai, for doing PhD and M.S. by research. The Department has well-qualified and dedicated faculty. The Department has organized several AICTE-STTPs, Faculty Programmes, Conferences.

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