VIT
Academic Schools

Teaching at VIT university is structured around nine schools of study. A student is registered in one of the schools, depending on the degree/programme he/she student is interested in pursuing.

Research centers are also part of the schools, encouraging interdepartmental collaboration and opportunity for students to participate in exciting research projects. The university offers 18 Undergraduate and 35 Postgraduate programmes.

Overview

The School of Computing Science and Engineering (SCSE) aims at achieving excellence in teaching and research in the computing discipline. The School has highly qualified faculty, excellent laboratories and learning resources to achieve its objective. The programmes are designed to cater to the ever changing needs and demands of the industry. The focus is on holistic learning and on empowering students to make significant contributions at all levels.

The School offers a variety of electives for students to attain an in-depth knowledge in their chosen area of interest. To develop core competencies and special interest groups for learning newer technologies, the school presently has seven technical divisions, such as Theoretical Computer Science and Language Translators, Computer Networks, Computer Architecture, Parallel and Distributed Computing, Software Systems, Digital Media Computing and Intelligent Systems. SCSE has excellent infrastructure, including domainspecific laboratories associated with the technical divisions. Industry leaders like IBM, Intel, Cisco, Sun Microsystems, Red Hat and Microsoft have established their laboratories in collaboration with the school. The School has a track record of organising national and international seminars, workshops, symposia and conferences in emerging technological areas periodically.

VIT and Accenture have jointly set up an Innovation Centre at VIT University for moulding the students for a better placement by giving training in areas like Service Oriented Architecture, Cloud Computing, and Workshops. In addition, Intel also joins with VIT for encouraging students in hardware engineering by sponsoring Multicore Labs and Embedded system lab to support technology innovation.

Courses at SCSE

Objectives

  • Graduates will be engineering practitioners and leaders, who would help solve industry's technological problems.
  • Graduates will be engineering professionals, innovators or entrepreneurs engaged in technology development, technology deployment, or engineering system implementation in industry.
  • Graduates will function in their profession with social awareness and responsibility.
  • Graduates will interact with their peers in other disciplines in industry and society and contribute to the economic growth of the country.
  • Graduates will be successful in pursuing higher studies in engineering or management.
  • Graduates will pursue career paths in teaching or research.

Scope of Employment

Computer software engineers apply the principles of computer science and mathematical analysis to the design, development, testing, and evaluation of the software systems. The tasks performed by these workers evolve quickly, reflecting new areas of specialisation or changes in technology, as well as the preferences and practices of employers.

Outcome

  • An ability to apply knowledge of mathematics, science, and engineering
  • An ability to design and conduct experiments, as well as to analyze and interpret data
  • An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability
  • An ability to function on multidisciplinary teams
  • An ability to identify, formulate, and solve engineering problems
  • An understanding of professional and ethical responsibility
  • An ability to communicate effectively
  • The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
  • A recognition of the need for, and an ability to engage in research and to involve in life-long learning
  • A knowledge of contemporary issues
  • An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.


Objectives

  • Graduates will be engineering practitioners and leaders, who would help solve industry's technological problems.
  • Graduates will be engineering professionals, innovators or entrepreneurs engaged in technology development, technology deployment, or engineering system implementation in industry.
  • Graduates will function in their profession with social awareness and responsibility.
  • Graduates will interact with their peers in other disciplines in industry and society and contribute to the economic growth of the country.
  • Graduates will be successful in pursuing higher studies in engineering or management.
  • Graduates will pursue career paths in teaching or research.

Scope of Employment

Excellent job opportunities are available in Software as well as Biotech and Pharmaceutical companies in India. Indian companies like Wipro, Reliance, Satyam, TCS and companies like Accelrys and IBM Life Sciences Pubgene, Silicon Genetics Tessella, Biocon India, Panacea Biotec, Wipro Health Science, Wockhardt, Haffkine Bio Pharmaceutical, Eli Lilly, Nicholas Piramal, Krebs Biochem, Bharat Serums.

Program Content

Core Courses

Computer Programming and Problem Solving / Cell Biology and Genetics / Probability and Statistics / Linear Algebra / Discrete Mathematical Structures / Theory of Computation /Graph Theory and its Applications / Biochemistry / Basic Electrical and Electronics Engineering / Molecular Biology / Object Oriented Paradigm and Programming / Computational Biology/ Data Structures and Algorithms / Computer Design and Architecture / Algorithm Design and Analysis / Genomics and Proteomics / Analytical Bioinformatics / Operating Systems/ Computer Networks / Molecular Evolution and Phylogeny / Database Systems / Biological Databases / Structure and Molecular Modeling / CGI and Web Programming / Software Engineering / System Biology / Data Warehousing and Data Mining / Software Project Management / Agent Based Intelligent Systems.

Outcome

  • An ability to apply knowledge of mathematics, science, and engineering
  • An ability to design and conduct experiments, as well as to analyze and interpret data
  • An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability
  • An ability to function on multidisciplinary teams
  • An ability to identify, formulate, and solve engineering problems
  • An understanding of professional and ethical responsibility
  • An ability to communicate effectively
  • The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context
  • A recognition of the need for, and an ability to engage in research and to involve in life-long learning
  • A knowledge of contemporary issues
  • An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Objectives

  • To build a theoretical base in computer science and its generic applications in scientific domains.
  • To help students understand problems, suggest and develop solutions.
  • To enable students to evaluate solutions using experiments and problem solving environments.
  • To expose students to scientific analysis, design principles and system management practices.

Scope of Employment

  • As entry - level computer scientists and professionals.
  • In the IT - enabled services sector, especially in BPO companies.
  • As system analysts.
  • As system / network professionals.
  • Software developers in IT companies.

Program Content

Core Courses

Principles of Operating Systems / Fundamentals of Computer Science / Problem Solving Techniques / Programming in C / Digital Logic and Computer Design / Computer Architecture/ Object Oriented Programming / Data Structures / Visual Programming / Fundamentals of Database Management Systems / System Software / Principles of Graphics & Multimedia / Introduction to Computer Networks / Java Programming / Web Technology / Principles of Software Engineering / Microprocessors.

Objectives

  • To build a technological base in Computer Science and Engineering.
  • To analyze, design, develop and evaluate high-end computing systems.
  • To undertake challenging projects and carry out research activity.
  • To identify new trends and evaluate emerging technologies.
  • To work on specialised and specific domains with faculty in various research divisions.

Scope of Employment

  • As Developers and specialists in high-end services and IT-product companies.
  • As Development Engineers, Technical Leaders and Managers.
  • As Academicians and Researchers in India and abroad.
  • As Consultants, Solution Developers and Entrepreneurs.
  • As Computing Specialists in Research Labs and as Technology Providers

Program Content

Core Courses

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Advanced Computer Networks / Advanced Database Systems / Advanced Software Engineering / Advanced Computer Graphics / Web Services / Distributed Systems 

Objectives

  • To build a theoretical base in Computer Science.
  • To define, model and solve problems.
  • To evolve solutions using formal methods and experiments.
  • To undertake challenging projects and carry out fundamental research.
  • To identify trends, to understand and evolve emerging computing paradigms.

Scope of Employment

  • As Computing Scientists and Specialists in Research Labs and Companies.
  • As System / Network Performance Analysts and Simulation / Evaluation Specialists in IT companies.

Program Content

University Core

Practices using C and C++. 

University Elective 

Students can choose a subject from a basket of university electives which are offered by other schools. This facility enables them to work in the interdisciplinary areas. 

Programme Core 

Formal Languages and Automata Theory / Data Structures and Algorithms / Computer Architecture and Organisation / Operating Systems / Database Management Systems / Computer Networks / Software Engineering / Open Source Programming / Object Oriented Analysis and Design / Computer Graphics / Knowledge Based System.

Objectives

  • To develop professionals required to meet the needs of the industry in exploiting Cloud Infrastructure.
  • To promote an academic career for further research in Cloud Domain for effective utilization of Cloud Resources.
  • To develop the spirit of entrepreneurship in providing Cloud services.
  • To provide the necessary skills for design, develop and deploy services related to Cloud Paradigm.

Scope of Employment

  • Every industry is turning towards Cloud Computing Environment for increasing their profit through effective resource optimization.
  • Placement as Cloud Software Engineer, Cloud Infrastructure Architect, Cloud Alliance Manager, Cloud Computing Developer, Cloud Product Manager, Cloud Scientist, R & D specialist in Cloud arena etc.

Program Content

Core Courses

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Advanced Database Systems / Advanced Computer Graphics / Web Services / Distributed Systems / Advanced Computer Networks / Advanced Software Engineering / Cloud Computing Architecture / Virtualization / Data clouds and Storage Technologies / Cloud Computing Patterns / Design and Development of Cloud Application / Cloud Security & Governance.

Objectives

  • To develop professionals required to meet the needs of the industry in processing voluminous data.
  • To promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics in providing an innovative, cost-effective processing of information for enhanced insight & decision making.
  • To develop the spirit of entrepreneurship in providing solutions in this emerging domain
  • To generate professional who are good in core competency skills of Computer Science & Engineering as well as Big Data Analytics.

Scope of Employment

  • Every industry is turning towards Big Data Analytics for increasing their profit and their business enhancement using cost effective solutions.
  • Placement as Business Analyst, Data Analyst, Data Architect, Data Engineer, Analytics Manager, Business Intelligence Director, Data Scientist, R & D specialist in Big Data Analytics etc.

Program Content

Core Courses

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Advanced Database Systems / Advanced Computer Graphics / Web Services / Distributed Systems / Advanced Computer Networks / Advanced Software Engineering / Information Retrieval & Data Mining / Big Data Essentials / Machine Learning / Big Data Analytics / Data Visualization / Large-Scale Data Management Techniques. 

Faculty Information
Dr. Venkateswaran S
Intercom No :2813

Faculty Associated with various Programme in the School :

The following is a list of faculty members associated with various programmes in the School. They are assigned to different academic divisions based upon their area of expertise.


DIVISONS

Division Chair & Programme Chair (B.Sc CS)
Faculty
Prof LAKSHMANAN K
Professor
Intercom:2740
Faculty
Faculty
Prof SHALINI L
Assistant Professor (Senior)
Intercom:2705
Faculty
Prof NALINI N
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof MARIMUTHU K
Assistant Professor (Senior)
Intercom:2749
Faculty
Prof KAUSHIK S
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof SANJIBAN SEKHAR ROY
Assistant Professor (Senior)
Intercom:2718
Faculty
Prof ANNAPURNA JONNALAGADDA
Assistant Professor (Senior)
Intercom:2718
Faculty
Prof THENDRAL P
Assistant Professor (Senior)
Intercom:2783
Faculty
Prof SIVAKUMAR P
Assistant Professor (Senior)
Intercom:2705
Faculty
Prof SENDHIL KUMAR K.S
Assistant Professor (Senior)
Intercom:2782
Faculty
Prof RISHIN HALDAR
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof BOOMINATHAN P
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof KANNADASAN R
Assistant Professor
Intercom:2718
Faculty
Prof USHUS ELIZEBETH ZACHARIAH
Assistant Professor
Faculty
Prof JABANJALIN HILDA J
Assistant Professor
Faculty
Prof NARESH K
Assistant Professor
Faculty
Prof LAVANYA K
Assistant Professor
Faculty
Prof ANURADHA D
Assistant Professor
Faculty
Prof JAYA SUBALAKSHMI R
Assistant Professor (Junior)
Assistant Professor (Selection Grade) & Division Chair
Faculty
Prof DEBI PRASANNA ACHARJYA
Professor
Faculty
Faculty
Prof VAIDEESWARAN J
Senior Professor
Intercom:2837
Faculty
Prof RAJASEKHARA BABU M
Associate Professor
Intercom:2188
Faculty
Prof SRIMATHI C
Associate Professor
Intercom:2749
Faculty
Prof HARSH ARORA
Associate Professor
Intercom:2717
Faculty
Prof MALASERENE I
Assistant Professor (Selection Grade)
Intercom:2783
Faculty
Prof NARAYANAMOORTHI M
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof SAIRABANU J
Assistant Professor (Senior)
Intercom:2749
Faculty
Prof SIVANESAN S
Assistant Professor (Senior)
Faculty
Prof VIJAYA KUMAR K
Assistant Professor (Senior)
Intercom:2740
Faculty
Prof YOKESH BABU S
Assistant Professor (Senior)
Intercom:2822
Faculty
Prof JIMMY MATHEW
Assistant Professor (Senior)
Intercom:2749
Faculty
Prof KRISHNAMOORTHY A
Assistant Professor
Faculty
Prof SIVA SHANMUGAM G
Assistant Professor
Faculty
Prof ELAVARASI M
Assistant Professor
Faculty
Prof INDUMATHY K
Assistant Professor
Faculty
Prof MOHANASUNDARAM R
Assistant Professor
Faculty
Prof BHULAKSHMI BONTHU
Assistant Professor
Intercom:2740
Faculty
Prof ANURADHA G
Assistant Professor
Intercom:2740
Assistant Professor (Selection Grade), Division Chair & Programme Chair B.Tech CSE
Faculty
Prof HARI SEETHA
Associate Professor
Faculty
Faculty
Prof ARUNKUMAR T
Professor
Intercom:2167
Faculty
Prof ANAND M
Associate Professor
Intercom:2786
Faculty
Prof MANJULA R
Associate Professor
Intercom:2188
Faculty
Prof GOVINDA K
Assistant Professor (Selection Grade)
Intercom:2740
Faculty
Prof SENTHILKUMAR R
Assistant Professor (Selection Grade)
Intercom:2786
Faculty
Prof VENKATESAN M
Assistant Professor (Selection Grade)
Intercom:2786
Faculty
Prof KUMAR K
Assistant Professor (Selection Grade)
Intercom:2749
Faculty
Prof SWATHI J.N
Assistant Professor (Senior)
Intercom:2706
Faculty
Prof ARUN KUMAR S
Assistant Professor (Senior)
Faculty
Prof RAMANATHAN L
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof GEETHA MARY A
Assistant Professor (Senior)
Intercom:2748
Faculty
Prof SATISH C.J
Assistant Professor (Senior)
Intercom:2718
Faculty
Prof SHARMILA BANU K
Assistant Professor
Intercom:2718
Faculty
Prof ANBARASI M
Assistant Professor
Intercom:2822
Faculty
Prof SATHYARAJ R
Assistant Professor
Intercom:2786
Faculty
Prof SENTHIL J
Assistant Professor (Senior) & Assistant Director, Academics (Systems)
Intercom:2822
Professor & Division Chair
Faculty
Prof JAISANKAR N
Professor
Intercom:2813
Faculty
Faculty
Prof KALYANARAMAN P
Professor
Intercom:2840
Faculty
Prof VENKATA KRISHNA P
Professor
Intercom:2928
Faculty
Prof RAMESH BABU K
Associate Professor
Intercom:2822
Faculty
Prof KARTHIKEYAN T
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof UMADEVI K S
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof GANESH GOPAL D
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof MANIKANDAN K
Assistant Professor (Senior)
Intercom:2706
Faculty
Prof ABDUL GAFFAR H
Assistant Professor (Senior)
Intercom:2708
Faculty
Prof GAYATHRI P
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof SANTHI H
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof PRIYA G
Assistant Professor
Intercom:2786
Faculty
Prof KAUSER AHMED P
Assistant Professor
Intercom:2750
Faculty
Prof PRABAKARAN N
Assistant Professor
Faculty
Prof SENTHILNATHAN
Assistant Professor
Faculty
Prof TAMIZHARASI T
Assistant Professor
Intercom:2750
Associate Professor & Division Chair
Faculty
Prof PRABU S
Associate Professor
Intercom:2864
Faculty
Faculty
Prof KALYANARAMAN P
Professor
Intercom:2840
Faculty
Prof MADHU VISWANATHAM V
Associate Professor
Intercom:2749
Faculty
Prof SARITHA V
Assistant Professor (Selection Grade)
Intercom:2783
Faculty
Prof PARVEEN SULTANA H
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof RA.K.SARAVANAGURU
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof BALASUBRAMANIAN V
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof VIJAYASHERLY V
Assistant Professor (Selection Grade)
Intercom:2188
Faculty
Prof ANTHONIRAJ A
Assistant Professor (Senior)
Intercom:2740
Faculty
Prof VAIRAMUTHU S
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof SASIKUMAR G
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof ANANDA KUMAR S
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof MOHAN K
Assistant Professor (Senior)
Intercom:2740
Faculty
Prof ARUN KUMAR G
Assistant Professor (Senior)
Intercom:2822
Faculty
Prof RAJESHKANNAN R
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof MANOOV R
Assistant Professor (Senior)
Faculty
Prof GOPINATH M.P
Assistant Professor
Intercom:2782
Faculty
Prof NAVEEN KUMAR N
Assistant Professor
Intercom:2786
Faculty
Prof RAMANI S
Assistant Professor
Intercom:2786
Faculty
Prof JASMIN T. JOSE
Assistant Professor
Intercom:2786
Associate Professor, Division Chair & Programme Chair M.Sc (CS)
Faculty
Prof SALEEM DURAI M.A
Associate Professor
Intercom:2813
Faculty
Faculty
Prof IYENGAR N.CH.S.N.
Senior Professor
Intercom:2602
Faculty
Prof BALAKRUSHNA TRIPATHY
Senior Professor
Intercom:2475
Faculty
Prof ILANGO P
Professor
Intercom:2838
Faculty
Prof DEBI PRASANNA ACHARJYA
Professor
Faculty
Prof RAGHUVEER V.R
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof RAJKUMAR R
Assistant Professor (Senior)
Intercom:2822
Faculty
Prof NAGARAJU M
Assistant Professor (Senior)
Intercom:2750
Faculty
Prof ANURADHA J
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof MUHAMMAD RUKUNUDDIN GHALIB
Assistant Professor (Senior)
Intercom:2749
Faculty
Prof NAVEEN KUMAR N
Assistant Professor
Intercom:2786
Faculty
Prof LIJO V.P
Assistant Professor
Intercom:2822
Faculty
Prof SELVA KUMAR K
Assistant Professor
Associate Professor & Division Chair
Faculty
Prof SANTHI V
Associate Professor
Intercom:2749
Faculty
Faculty
Prof MARGRET ANOUNCIA S
Professor
Intercom:2812
Faculty
Prof CHANDRA MOULI P.V.S.S.R
Professor
Intercom:2740
Faculty
Prof SENTHILKUMAR S
Associate Professor
Intercom:2822
Faculty
Prof NAGARAJA RAO A
Associate Professor
Intercom:2749
Faculty
Prof SWARNALATHA P
Assistant Professor (Selection Grade)
Intercom:2822
Faculty
Prof MYTHILI T
Assistant Professor (Senior)
Intercom:2783
Faculty
Prof SURESHKUMAR N
Assistant Professor (Senior)
Faculty
Prof AJU D
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof VIJAYARAJAN V
Assistant Professor (Senior)
Intercom:2717
Faculty
Prof NATARAJAN P
Assistant Professor (Senior)
Intercom:2786
Faculty
Prof ANISHA M. LAL
Assistant Professor (Senior)
Intercom:2706
Faculty
Prof RAJKUMAR S
Assistant Professor
Intercom:2786
Faculty
Prof AKILA VICTOR
Assistant Professor
Intercom:2822
Faculty
Prof GLADYS GNANA KIRUBA B
Assistant Professor
Intercom:2782
Faculty
Prof AJANTHAA LAKKSHMANAN
Assistant Professor
Intercom:2822
Faculty
Prof BHAGYAVATHI M
Assistant Professor
Intercom:2740
Faculty
Prof SRIVANI A
Assistant Professor
Intercom:2782
Faculty
Faculty
Prof JAYA SUBALAKSHMI R
Assistant Professor (Junior)
Computing Facilities

The School supports the following laboratories with IBM rack-mounted servers X3650, an IBM XEON-E server and a Wipro net power server. The major laboratories include: Theoretical Computer Science and Language processing, Open Source Technologies, Data Technology, Grid-Cloud Computing, Software Systems, Computational Intelligence, Image Processing - Vision and Graphics, High Performance Computing, Altera FPGA - SOPC, Mobile Computing and Intel Multicore Laboratories. All laboratories are equipped with the latest hardware and software including Sybase- IQ15, SPSS-Clementine, Rational Rose 2003, IBMDB2 & IBM Infosphere, Qualnet Developer,Adobe Master collection CS-5 Bundle, KeilU Vision, Altera Quartus II, Model Sim - Altera, ATMEL - FLIP, etc., for the upgradation of education and upliftment of research for students to meet the challenging needs of the IT sector.

Funded Projects

Several R&D projects, funded by Government of India’s funding agencies such as SERC-DST, VSSC, DRDO and SAC-ISRO are currently in progress.

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Vellore Institute of Technology

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Vellore, Tamil Nadu - 632014

Contact Number

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