Computer Science & Engineering Department

To provide a conducive environment for knowledge acquisition with theoretical foundation and application.

To conduct research for advancing the state-of-the-art in computer science & engineering, and integrate research outcomes and innovations into other domains.

To mentor students to realise their individual potential for attaining their career aspirations and overall progress of society.

Vision MissionTo be a centre of excellence in computer science & engineering emphasizing on the holistic development of its students, producing ethical and socially responsible professionals with lifelong learning abilities.

To apply the theoretical concepts of computer science & engineering and practical knowledge in analysis, design and development of computing systems and interdisciplinary applications.

To work as a socially responsible professional by applying computer science & engineering principles and management practices.

BTech in Computer Science & Engineering

MTech in Computer Science

& Engineering

MTech in Computer Science & Engineering(Information and Network Security)

PhD in Computer Science & Engineering

Master of Computer Application

MTech in Computer Science & Engineering (Data Science)

AI and Machine Learning

Internet of Things

Human-Computer Interface

Data Analytics

Computer NetworksCyber Security

Computer Vision

High-Performance Computing

The department has modern computing amenities to facilitate and accelerate research and innovation.

Deep Learning Lab

 NVIDIA Supported Lab

Super Computing Facility – PARAM Shavak

IoT Lab Networking Lab

Program Specific Outcomes

Programmes

ResearchAreas

ResearchLabs

CSE

Indian Navy

Infosys

NVIDIA

Major funded research projects undertaken

◊ Pro-active solution for achieving trust in cloud computing using machine learning approach

◊ Optimising parallelisation of legacy code on appropriate HPC ◊ Trajectory planning for robotic arm for automatic damage

detection and recognition of first wall tile images in Tokamak using image processing and machine learning

◊ Development of comprehensive technique for soil moisture estimation using L & S band airborne polarimetric SAR data

◊ Spectral discrimination and separability analysis of crops and weeds using deep learning techniques

◊ Mining crop cover, crop type stages from L & S band SAR ◊ Using deep learning to understand and predict the dynamics

of Tokamak discharges and more.

The department offers well-structured customised training programmes to industry/organisations, starting from analysing the need and relevance, designing the training strategy, content and effective delivery.

Consultancy and training offered majorly in areas of:

BRNS

GUJCOST

IPRTCS

ISRO DST

ITER-France | Iowa State University |

Carleton University | University of Newcastle |

University of Southern California | Georgia Tech

Carnegie Mellon University | Cornell University |

Columbia University | UMass, Amherst |

Florida Atlantic University | Binghamton University

IITs | IISc | IIMs | IIFT

Head of the DepartmentDepartment of Computer Science & Engineering,

Institute of Technology, Nirma University,Post: Chandlodia, Via: Gota, Ahmedabad - 382 481.

Phone: +91 - 079-71652212/217Email: hod_ce.it@nirmauni.ac.in

Contact Us

Academic Connect

Funded Research

CustomisedTraining and Consultancy

Linkages

Major Recruiters

Data Mining Programming

Machine Learning

Web App Development

Information Security

IoT

Texas Instruments

TCS

Goldman Sachs

Oracle

BoschMorgan Stanley

Samsung

Intel

Amazon

MAQ Software

Infosys

MU Sigma

Evosys

HSBC

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