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Welcome to ICBDACI 2019!

The second International Conference on Big Data Analytics And Computational Intelligence will be held on 24-26 October 2019 at St. Joseph's College of Engineering, Chennai, Tamil Nadu India.

The growth of data both structured and unstructured will present challenges as well as opportunities for industries and academia over the next few years. With the explosive growth of data volumes, it is essential that real-time information that is of use to the business can be extracted to deliver better insights to decision-makers, understand complex patterns etc. Computational Intelligence tools offer adaptive mechanisms that enable the understanding of data in complex and changing environments. The main building blocks of computational intelligence involve computational modeling of biological and natural intelligent systems, multi-agent systems, hybrid intelligent systems etc.

The conference will provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. The conference program will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. The aim of BDACI’19 is to serve as a forum to present current and future work as well as to exchange research ideas in this field.

Key Dates

Paper Submission Due 30 June 2019
Acceptance Notification Due 1 September 2019
Registration Due and Final Paper Upload Due : 2 October 2019
Conference 24 - 26 October 2019

Sponsors & Exhibitors

    Organized by
Indexed By
Sponsors & Supporters

Call for Papers

Original contributions based on the results of research and developments are solicited. Prospective authors are requested to submit their papers in not more than 6 pages, prepared in the two column IEEE format. All the accepted and presented papers will be published in the form of e-proceedings in USB.

BDACI’18 takes plagiarism very seriously and regard plagiarism as a professional misconduct. Papers will be screened for plagiarism and when identified the paper will be rejected. In addition all authors of the paper will be denied to the conference and other papers by these author(s) will also be rejected. When paper accepted, BDACI’18 don’t encourage withdrawals meaning it should not be submitted with the intention to get the reviews by the TPC.

BDACI’18 invites authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce.

Computational Intelligence

Fuzzy Logic

  • Non-standard fuzzy sets
  • Granular computing
  • Computing with words
  • Aggregation/fusion
  • Fuzzy sets and statistics
  • Uncertainty
  • Decision-making
  • General theoretical issues
  • Generalisation in neural, fuzzy and evolutionary learning
  • Fuzzy logic and fuzzy set theory
  • Lattice theory and multi-valued logic
  • Approximate reasoning
  • Type-2 fuzzy logic
  • Rough sets and random sets
  • Fuzzy mathematics
  • Fuzzy measure and integral
  • Possibility theory and imprecise probability

Neural Networks and other machine learning techniques

  • Neural computation
  • Self-organizing maps
  • Recurrent networks
  • Multilayer perceptrons
  • Recursive deterministic perceptrons
  • Evolutionary neural networks
  • Neural networks for pattern recognition
  • Neural netwoks for prediction and optimization
  • Neural networks for principal component analysis
  • General regression neural networks
  • Neural networks as/and fuzzy systems
  • Radial basis functions
  • Learning theory
  • Reinforcement learning
  • Generalization in neural networks

Evolutionary Computation

  • Theoretical foundations of bio-inspired heuristics
  • Exact and approximation runtime analysis
  • Fixed budget computations
  • Black box complexity
  • Self-adaptation
  • Population dynamics
  • Fitness landscape and problem difficulty analysis
  • No Free Lunch Theorems
  • Statistical approaches for understanding the behaviour of bio-inspired heuristics

Big Data Analytics

Big Data Models, Algorithms and Architectures

  • Foundational Models for Big Data
  • Algorithms and Programming Techniques for Big Data Processing
  • Big Data Analytics and Metrics
  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Data and Information Quality for Big Data
  • New Data Standards
  • Cloud Computing Techniques for Big Data
  • Big Data as a Service
  • Big Data Open Platforms
  • Data Stream Algorithms
  • Randomized Algorithms for Matrices and Data
  • Algorithmic Techniques for Big Data Analysis
  • Models of Computation for Massive Data
  • The Modern Algorithmic Toolbox
  • Big data storage architecture
  • GEOSS clearinghouse
  • Distributed and parallel computing

Big Data Management

  • Big Data Persistence and Preservation
  • Big Data Quality and Provenance Control
  • Big Data Storage and Retrieval
  • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/Stream Data Mining-Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data-Big Variety Data

Big Data Security, Privacy and Trust

  • Big Data System Security and Integrity
  • Big Data Information Security
  • Privacy Preserving Big Data Analytics
  • Usable Security and Privacy for Big Data
  • Intrusion Detection for Gigabit Networks
  • Anomaly and APT Detection in Very Large Scale Systems
  • High Performance Cryptography
  • Visualizing Large Scale Security Data
  • Threat Detection using Big Data Analytics
  • Privacy Threats of Big Data
  • Privacy Preserving Big Data Collection/Analytics
  • HCI Challenges for Big Data Security & Privacy
  • User Studies for any of the above
  • Sociological Aspects of Big Data Privacy
  • Trust management in IoT and other Big Data Systems

Big Data Search, Mining, and Visualization

  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Machine learning based on Big Data
  • Visualization Analytics for Big Data
  • Social Web Search and Mining
  • Web Search
  • Algorithms and Systems for Big Data Search
  • Distributed, and Peer-to-peer Search
  • Big Data Search Architectures, Scalability and Efficiency
  • Data Acquisition, Integration, Cleaning, and Best Practices
  • Visualization Analytics for Big Data
  • Computational Modeling and Data Integration
  • Large-scale Recommendation Systems and Social Media Systems
  • Cloud/Grid/StreamData Mining- Big Velocity Data
  • Link and Graph Mining
  • Semantic-based Data Mining and Data Pre-processing
  • Mobility and Big Data
  • Multimedia and Multi-structured Data-Big Variety Data
  • Multifaceted and task-driven search
  • Personalized search and ranking
  • Data, entity, event, and relationship extraction
  • Data integration and data cleaning
  • Opinion mining and sentiment analysis

Big Data Applications

  • Big Data for Enterprise, Government, and Society
  • Case Studies of Big Data Value Creation
  • Big Data for Science and Engineering Research
  • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
  • Big Data Analytics in Small Business Enterprises (SMEs)
  • Big Data Analytics in Government, Public Sector and Society in General
  • Real-life Case Studies of Value Creation through Big Data Analytics
  • Big Data as a Service
  • Big Data Industry Standards
  • Experiences with Big Data Project Deployments
  • Big Data Analytics in Enterprises
  • Big data in eGovernment
  • Big data in Mobile apps
  • Big data in smart cities
  • Big data in Manufacturing
  • Big data in security and privacy
  • Big data in Ecommerce
  • Big data in Biomedicine
  • Big data in Regulated Industries
  • Big data in clinical and healthcare
  • Financial aspects of Big Data Industry
  • Current and future scenario of Big Data Market
  • Big Data in Travel Industry
  • Big Data Trends in Retail
  • Big data in Public administration

Big Data Infrastructure

  • Cloud/Grid/Stream Computing for Big Data
  • High Performance/Parallel Computing Platforms for Big Data
  • Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
  • Energy-efficient Computing for Big Data
  • Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
  • Software Techniques andArchitectures in Cloud/Grid/Stream Computing
  • Big Data Open Platforms
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • Software Systems to Support Big Data Computing


Key Note Speakers



Registration fees can be paid by the paper authors only after the acceptance notification of the paper.

Category For India For Other Countries
Authors INR 9500 USD 450
Authors (IEEE Member) INR 8500 USD 400
Student Authors INR 7500 USD 300
Invited Presentation INR 6000 USD 250
Conference Attendee/Listener INR 3000 USD 200
Extra Paper INR 4000 / paper
USD 200 / paper
Extra Page Charges (> 6 pages) INR 800 / page
(maximum 3 pages)
USD 50 / page
(maximum 3 pages)

*Please note that Conference Attendee / Listener registration fee includes the full conference kit, including the certificate.

For Student Authors/Attendees

Authors/Students from overseas will get subsidized accommodation either in the college campus (hostel) or at the designated accommodation in place. Approx. (~50 participants sharing basis) available on first-come first-serve basis.

The registration fee, includes:

For Student Registration, student status verification is required either by a letter from the Institution or a scanned copy of the student card.


(a) All banking charges MUST BE borne by the participants.

(b) Please ensure that the Remitter's (Participant/Author) name, Paper-ID and the Purpose of remittance (Registration Fees) is clearly mentioned by the Remitter in the Funds Transfer Application.

(c) Registration fees do not include accommodation and travel.


Substitutions or cancellations should be made in writing on or before dd Month 2019. Refunds will be subjected to an administrative charge to be borne by the registrant. Bank charges that occur will also have to be borne by the registrant. Registrants wishing to cancel may send someone to take their place without penalty if they send a written request with the replacement person's name to secretariat at least two weeks prior to the event start date. No refunds will be made for cancellation or no-show after 5th October 2019.


International Symposium on Women in Computational Intelligence and IoE

Symposium on Computational Biology and Bioinformatics


Prof. Vivek S. Deshpande,
Chair, IEEE Communication Society, Pune,
Vishwakarma Institute of Technology, Pune University,
Dr. Pethuru Raj,
Infrastructure Architect,
IBM Global Cloud Center of Excellence
IBM, India

Short Courses

ICBDACI 2019 invites a proposal to organize a Short Courses. The committee now starts soliciting proposals for Short Courses. A submission should include a title, a synopsis describing the topic, a paragraph explaining why the topic would be of interest to the computing community, and the names and short biographies of potential speakers. A submission should be no longer than 2 pages. The Technical Committee will review the proposals.

Please e-mail your proposals to:

Prof. Dr. S.K. Niranjan
ICBDACI 2019 General Chair(s)

Technical Program

Will be updated soon....

Special Sessions

ICBDACI 2019 invites a proposal to organize a special session. Below is the list of special session you may wish to choose or if you have something new to propose,
please send email to:

Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition

  • Neural networks for feature analysis
  • Fuzzy systems for feature analysis 
  • Hybridization of evolutionary computation and neural networks, and fuzzy systems for feature selection and construction
  • Hybridization of evolutionary computation and machine learning, information theory, statistics, mathematical modelling, etc., for feature analysis
  • Feature analysis in classification, clustering, regression,  image analysis, signal processing, and other tasks
  • Feature ranking/weighting
  • Feature selection
  • Feature construction/extraction
  • Multi-objective feature selection, construction or extraction
  • Feature analysis on high-dimensional and large-scale data
  • Analysis on computational intelligence for feature selection and construction/extraction algorithms
  • Evolutionary computation for feature analysis

Intelligence in Vehicles and Transportation Systems

  • Automated driving and driverless car
  • Learning and adaptive Control
  • Object recognitions such as pedestrian detection, traffic sign detection and recognition
  • Route guidance systems
  • Trip modeling and driver speed prediction
  • Vehicle energy management and optimization in hybrid vehicles
  • Advanced transportation information and communication systems
  • Cloud computing and big data in transportation and vehicle systems
  • Multimodal intelligent transport systems and services
  • Personalized driver and traveler support systems
  • Simulation and forecasting models
  • Connected vehicles of the future.
  • Air, Road, and Rail Traffic Management
  • Advanced Transportation Management
  • Collision detection and avoidance
  • vehicle communications and connectivity
  • Driver state detection and monitoring
  • Driver assistance and automation systems
  • Vehicle fault diagnostics and health monitoring

Computational Intelligence for Financial Engineering & Economics

  • Big Data Finance & Economics
  • Intelligent Trading Agents
  • Trading Room Simulation
  • Time Series Analysis
  • Financial Data Mining
  • Rules and XBRL for Financial Engineering Applications
  • Semantic Web and Linked Data for Computer & Engineering Applications & Models
  • Risk Management
  • Pricing of Structured Securities
  • Asset Allocation
  • Trading Systems
  • Forecasting
  • Risk Arbitrage
  • Behavioral Finance
  • Exotic Options
  • Portfolio Optimization
  • Front/Back Office Operations
  • Agent-based Computational Economics

Computational Intelligence and Data Mining

  • Text mining
  • Link and graph mining
  • Social media mining
  • Collaborative filtering
  • Security, privacy and social impact of data mining
  • Data mining applications
  • Evolutionary algorithms for data mining
  • Fuzzy sets for data mining
  • Data mining with soft computing
  • Foundations of data mining
  • Mining with big data
  • Classification
  • Clustering
  • Regression
  • Association
  • Multimedia data mining

Computational Intelligence in Cyber Security

  • Sensor network security, web security, wireless security
  • Cyber fraud and illicit behavior detection
  • Digital forensics, security information visualization
  • Sensor fusion and decision support in computer security
  • Security applications and cyber infrastructure protection
  • Modeling criteria of serious games in internet security
  • Information assurance, cyber fraud and crime detection
  • Security of storage systems, operating systems, and networks
  • Intrusion detection, prediction, classification, and response
  • Models for survivable, resilient, and self-healing systems

Computational Intelligence for Communication Systems and Networks 

  • Computer networks design and optimization
  • Networking protocols, services, and management
  • Design of Future Internet
  • Optical communication systems and networks
  • Bio-inspired and artificial networks
  • Nature-inspired approaches for the design of communications systems and networks
  • Multi-objective optimization of network resources
  • Simplified and cost-efficient communication architectures
  • Design of wireless networks and wireless sensor networks
  • Dynamic and reconfigurable antenna systems
  • Passive and active microwave technologies
  • Signal processing
  • Autonomic networks and networking
  • Nano and molecular networks
  • Social and green networking

Computational Intelligence in Healthcare and e-health

  • Human-Machine Interfaces
  • Design and development methodologies for Healthcare IT
  • Mobile technologies for Healthcare applications (m-Health)
  • Evaluation and use of Healthcare IT
  • Health Knowledge Management
  • Pattern recognition and Machine Learning
  • Practice-based Research Methods for Healthcare Informatics/IT
  • e-Health for Public Health
  • Integrating genetics with e-health
  • Ontology Driven Knowledge Management
  • Decision Support Systems
  • Telemedicine
  • Medical research using Grids
  • Interoperability
  • Medical and Nursing Informatics
  • Confidentiality and Data Security
  • Wearable Health Informatics
  • Semantic Interoperability
  • Therapeutic Systems and Technologies
  • Cognitive Informatics
  • Healthcare Management and Information Systems
  • Electronic Health Records and Standards
  • Software Systems in Medicine
  • Pervasive Health Systems and Services
  • Clinical problems and applications
  • Data Mining and Visualization
  • Consumer Health Informatics
  • Virtual Healthcare Teams

Adaptive Dynamic Programming and Reinforcement Learning

  • Neuroscience and biologically inspired control
  • Finite-sample analysis
  • Applications of ADP and RL
  • RL and ADP-based control
  • Statistical learning
  • Function approximation and value function representation
  • Complexity issues in RL and ADP
  • Policy gradient and actor-critic methods
  • Direct policy search
  • Planning and receding-horizon methods
  • Monte-Carlo tree search and other Monte-Carlo methods
  • Adaptive feature discovery
  • Learning rules and architectures
  • Bayesian RL and exploration
  • Partially observable Markov decision processes
  • ADP and RL for multiplayer games and multiagent systems
  • Distributed intelligent systems
  • Transfer learning
  • Convergence and performance analysis

Computational Intelligence Applications in Smart Grid

  • Optimization
  • Markets and economics
  • Communication and control
  • Demand side management
  • Distributed energy resources
  • Dynamic equivalents
  • Emissions
  • Algorithms for modeling, control and optimization
  • Methods and algorithms for real-time analysis
  • Planning, operation and control
  • Plug-in vehicles
  • Renewable energy
  • Smart micro-grids
  • Smart grid education
  • Cyber security
  • Visualizations for control centers
  • Smart sensing
  • Wide area monitoring, control and protection

Computational Intelligence in Big Data

  • Big data in public services
  • Big data in social media
  • Big data and cloud computing
  • Big data in intelligent robotics
  • Big data driven new business
  • Big data in healthcare
  • Big data in industrial internet of things
  • Big data in future media
  • Big data in finance and economy
  • Big data visualization and visual data analytics
  • Deep learning of big data
  • New information infrastructure for big data
  • Semantic technologies for big data
  • Scalable learning techniques for big data
  • Optimization of complex systems involving big data
  • Data governance and management in big data
  • Human-computer interaction and collaboration in big data
  • Integrative analytics of diverse data resources
  • Integration of structured and unstructured data
  • Extracting understanding from distributed, diverse and large-scale data resources
  • Extracting understanding from real-time large-scale data streams
  • Predictive analytics and in-memory analytics
  • Applications of big data, such as  industrial processes , business intelligence, healthcare, bioinformatics and security

OLAP technologies

  • Data Storage and Access
  • OLAP Operations
  • OLAP Architecture
  • OLAP tools and internet
  • Functional requirements of OLAP systems
  • Limitation of spread sheets and SQL

ETL (Extract, Transform and Load)

  • ETL Basics in Data Warehousing
  • ETL Tools for Data Warehouses
  • Logical Extraction Methods
  • ETL data structures
  • Cleaning and conforming
  • Delivering dimension tables

New visualization techniques

  • Analysis data for visualization
  • Scalar visualization techniques
  • Frame work for flow visualization
  • System aspects of visualization applications
  • Future trends in scientific visualization

Data Mining

  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • High performance data mining algorithms
  • High performance data mining algorithms
  • Methodologies on large-scale data mining
  • Empirical study of data mining algorithms
  • Competitive analysis of mining algorithms
  • Computational Modeling and Data Integration
  • Semantic-based Data Mining and Data Pre-processing
  • Mining on data streams
  • Graph and sub-graph mining
  • Scalable data preprocessing and cleaning techniques
  • Statistical Methods in Data Mining

Social network analysis

  • Networks and relations
  • Development of social network analysis
  • Analyzing relational data
  • Dimensions and displays
  • Positions, sets and clusters


About Chennai

Tidel park

Chennai is known as the ‘Gateway to South India’. Chennai, the capital city of Tamil Nadu is sited on the Coromandel Coast of the Bay of Bengal. It has played a vital role in the traditional, historical and academic growth of the country, representing the different elements of the highest variety of the Dravidian civilization. Today, Chennai, the capital city is the 4th largest city of India and is also the leading commercial centre of South India.

The credit of the booming economy of the city goes to the leading industries including automobile, software services, petrochemicals, financial services, textiles and hardware manufacturing. Also, Chennai, being an important metropolitan city is very well-connected to all the major cities of India as well as with the countries overseas. And, it is also considered as the cultural hub of South India which is famous for its affluent heritage in classical dance, music, architecture, sculpture, crafts, etc.

Tourism Destinations in Chennai

The tourist destinations in Chennai include ancient temples, monuments, beaches, museum, art centers and much more. The following are some of the tourist places in Chennai:

Marina beach

Known as the Pride of Chennai, the Marina beach stretches for about 13 km making it the second longest beach in the country. The urban beach has white sand and is considered to be one of the cleanest and busiest beaches in India.he beach is one of the most prominent open spaces in Chennai and is host to many important national and cultural events like the parades on Independence Day and Republic Day. The annual Chennai Marathon, India’s biggest city marathon, starts from Anna Square near Marina beach. The Pongal celebration in January attracts an estimated 150,000 people on the beach for the festivities. The Marina Beach has been featured in numerous Tamil movies over the years.


Situated 60 km from Chennai, Mahabalipuram is an ancient port town known for its stone carvings and stone temples. Built largely between the 7th and the 9th centuries, the port city of Pallavas has been classified as UNESCO World Heritage Site. Mahabalipuram beach is a pristine beach on the east coast of Chennai. This golden sandy beach with rock cut sculptures attracts many tourists every year. The place is an ideal place for a holiday. You can enjoy several water sports like motor boating, wind surfing and diving. You can also visit other attraction here in Mahabalipuram including a school of art and sculpture, a crocodile bank and a snake venom extracting center.

Valluvar Kottam

Valluvar Kottam is a temple chariot like monument built to honor the renowned classical Tamil poet and saint, Thiruvalluvar. It is known for its great architecture, built with innovative layouts and well thought execution. The short writings of him are inscribed in the front hall corridors. It is seen as a replica of temple chariot in Thiruvarur and a life size idol of the Thiruvalluvar has been installed in the 39m high chariot at the top of ancient vehicle called 'thaer'. It also has an auditorium which can accommodate 4,000 people. It stands at the point which was the deepest point of a lake which was located in the area. People are allowed to capture the beauty of the monument's architecture in their cameras. Best time to visit is during the day time.

Connemara Public Library

Connemara Public Library at Chennai is one of the four National Depository Libraries which receive a copy of all books, newspapers and periodicals published in India. Established in 1896 the library is a repository of centuries-old publications, wherein lie some of the most respected works and collections in the country. It also serves as a depository library for the UN.
The library was as part of a cultural complex that grew in the grounds of what was once called 'The Pantheon'. The entire complex now boasts buildings that reflect architectural unity, even while demonstrating the various stages of Indo-Saracenic development, from Gothic-Byzantine to Rajput Mughal and Southern Hindu Deccani.

Santhome Church

Santhome Church in Chennai also known as Santhome Cathedral Basilica and International Shrine of Saint Thomas Cathedral Basilica, sits on the tomb built over the mortal remains of one of the twelve Apostles of Jesus Christ. Saint Thomas had come to India in A.D.52, was martyred in A.D.72 and buried in this very site then known as Mylapore. “San Thome” assumes its name from Saint Thomas.
There are only two other Basilicas in the world other than Santhome Cathedral that have been built over the tomb of an apostle. One of them being “St.Peters Basilica”, in Rome and the other being “church of St.James the great”, in Santiago de Compostela, Spain.

Kapaleeshwarar temple

Kapaleeshwarar temple was built in 7th century CE by the Pallavas. The original Kapaleeshwarar Temple was built where Santhome Church is located currently in Chennai. This original temple was demolished by the Portuguese and the present temple was built in the 16th century by the Vijayanagar Kings.

About SJCE

St. Joseph's College of Engineering is a higher education institution in Chennai, India. It is under the administration of the St.Josephs Educational Trust. The college is affiliated to the Anna University.

St. Joseph′s College of Engineering, ever since its inception in the year 1994, has taken huge strides towards differentiating itself by focusing on pursuit of Innovation and Research by its faculty and students. Many of our faculties are recognized supervisors to guide the Ph.D research scholars. To prove the R&D activities in our college, our faculty members have published many research papers in various National and International Journals and Conferences. Last four years they have published 784 research papers. The Research Advisory Board was constituted in the year 2012 to strengthen the Research activities of the Institution, consists of the Chairman, Secretary and Members, from various departments of our college and Scientists from other Govt. Research Centers. The Research Advisory Board monitors the research and development activities, focuses on Submission of project proposals to various funding agencies and recommends for the campus and other infrastructure developments. It also offers a quality research training experience for its students and faculty members in the recent frontiers of Engineering and Technology. Our college has been accredited by Department of Scientific and Industrial Research (DSIR), Ministry of Science and Technology as a Scientific and Industrial Research Organization (SIRO).


Visvesvaraya Technological University
“Jnana Sangama”
Belagavi : 590018
Karnataka, India.

Visvesvaraya Technological University is named after notable Indian engineer, scholar, statesman and the recipient of highest honour ‘Bharata Ratna’ Sir. M. Visvesvaraya. SJCE is an institution that is rich in history, academic excellence, and leadership. The University is performing and continues to perform with a VISION, MISSION and MANDATE. Visvesvaraya Technological university is one of India’s leading and largest technological Universities. It has 202 affiliated engineering colleges under its jurisdiction. Every year over 50,000 students graduate from this University who are the next generation technical leaders, thinkers, innovators and scholars...

Equipped with the extremely rich resources of an outstanding student body and faculty strong partnerships with business, industry, and government and support from alumni and friends, SJCE is designing a future of global preeminence, leadership, and service.
For More Details, Please Click on

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