OBJECTIVE

The area of Data Science provides coverage of the principles underlying modern database and information management systems at a large scale, as well as methods for mining data sets. The track spans topics ranging from developing applications for database and information systems; to analyze data to retrieve information; to system design, architecture, and management; to applying algorithms and techniques from data mining and machine learning to perform analyses over data sets. Related topics include distributed systems, networking, and security on the system side, as well as text mining, bioinformatics, web search, and social media on the applications side.

SCOPE

The booming area of Data Science has gained momentum in recent years due to the growth of big data arising from many sectors. All the top-tier companies and universities are getting involved in this area where enormous opportunities of research and top-salary jobs are getting easy welcome.

Courses

2 Year M.Tech in Computer Science and Engineering with specialization in Data Science

Eligibility: B.Tech. / B.E.(with minimum 60% marks or equivalent CGPA) in any engineering discipline.
M.Sc. (with minimum 50% marks or equivalent CGPA) in Computer Science/ Statistics / Electronics Science/Physics/Mathematics.
MCA (with minimum 60% marks or equivalent CGPA).

2 Year M.Tech in Computer Science and Engineering with specialization in Machine Learning

Eligibility: B.Tech. / B.E.(with minimum 60% marks or equivalent CGPA) in any engineering discipline.
M.Sc. (with minimum 50% marks or equivalent CGPA) in Computer Science/ Statistics / Electronics Science/Physics/Mathematics.
MCA (with minimum 60% marks or equivalent CGPA).

3 Year M.Tech in Data Science (Executive)

Eligibility: B.Tech. / B.E.(with minimum 60% marks or equivalent CGPA) in any engineering discipline.
M.Sc. (with minimum 50% marks or equivalent CGPA) in Computer Science/ Statistics / Electronics Science/Physics/Mathematics.
MCA (with minimum 60% marks or equivalent CGPA).
With industry experience.

PhD Programs

(Machine Learning / Data Analysis / Data Mining / Image Processing / IOT / Soft Computing / Data Security / Cloud Computing.)

Training and Certificate Programs

Eligibility: B.Tech / B.E./MCA/BCA/Diploma

 

Core Research Areas:

Some specific research areas of CDS are: Machine Learning / Data Analysis / Data Mining / Image Processing / IOT / Soft Computing / Data Security / Cloud Computing.

1. Bio-photonic Imaging and Machine Learning in Healthcare:

Translational research in bio-photonic imaging at JISIASR Kolkata is one of the thrust areas where we work on developing novel, portable and non-invasive probing modalities through electro-optic system integration for characterization of different health related conditions, targeting mainly the peripheral organs of human body

Following are some of the research endeavours:

  • Non-invasive and invivo dynamic imaging of microvasculature and tissue perfusion using laser-speckle contrast technique

 

 

 

 

 

 

  • An ultra-low-power MSP430-based embedded system and associated computational algorithm to develop a point-of-care cardiac pre-screening device

 

 

 

 

 

 

 

  • Multispectral imaging and associated computational algorithm for functional characterization of ocular pathologies

 

2. Forensics and Biometrics:

JIS-IASR works on forensics and biometrics studies related to handwriting and eye. The handwriting analysis comes under behavioural biometrics, whereas the eye-image analysis is physical biometrics. We also work on face recognition. We use cutting-edge machine learning technologies for our research on forensics and biometrics.

Writer Verification and Identification: Writer verification is a task used to authenticate a given document whether it is written by a certain individual or not. In writer identification, the goal is to match the writers to their handwriting specimens.

Idiosyncrasy Analysis: The idiosyncratic handwriting interprets individual eccentricities in penning a character. The idiosyncrasy analysis helps is handwriting inspection.

Struck-out/Crossed-out Stroke Analysis: Crossed-out/Struck-out strokes also infers crucial information regarding the writer. We also use such information for handwriting inspection.

Cognitive Analysis: This centre works on cognitive analysis of reading and writing.

Eye Biometrics: The eye biometrics is a strong biometric analysis. This centre mostly perform research with Sclera and Irish.

Face Recognition: This centre works on FR, which is also a strong physical bio-metric.

 

3.Video Surveillance and Understanding:

JIS-IASR works on video surveillance with its understanding. We use ultra-modern deep learning techniques for this.We mostly work on the followings:

  • Automation of various stages of video surveillance
    • Segmentation
    • Localization
    • Object detection
    • Tracking of moving objects
  • Making of automated interpretation
  • Making of automated decisions

 

4. Social Network Analysis:

  • Interrelation between identity economics and social network analysis
  • Interrelation between credit scoring and social network analysis
  • Interrelation between psychometry and social network analysis
  • Interrelation between information diffusion and social network analysis

 

 

 

 

 

 

5. Finance:

  • Machine Learning and AI for Risk Management
  • Stock Market Prediction in Indian Scenario using ML

 

 

 

 

 

 

 

Strong Academic and Research collaborations with:

  • Indian Institute of Technology (IIT) Kharagpur
  • Mahatma Gandhi University (MGU), Kerala
  • National Institute of Pharmaceutical Education And Research (NIPER) Kolkata
  • S. N. Bose National Centre for Basic Sciences, Kolkata

Infrastructure:

  • High Performance Cluster
  • Big-Data Analytics Laboratory
  • IoT and Sensor Laboratory
  • Biomedical Instrumentation Laboratory
  • Well Equipped Library
  • Smart Classrooms