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Computer Science and Engineering Department

Computer Science and Engineering


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The Department of Computer Science and Engineering was established in 1998. The department offers B.Tech(Computer Sc. and Engineering), M.Tech (Computer Networks), M.Tech(Data Science) and Ph.D. in various specializations of the discipline.The backbone of the department is quality research, experienced faculty members and latest infrastructure. B.Tech (CSE) programme of the department is accredited by the National Board of Accreditation (NBA), India first time in 2012 for three years and second time for the academic years 2017-18 to 2019-20 (3 years).

Students of this department are prepared to excel as competent computer professionals, pursue advanced degrees, and possess technical knowledge, critical thinking skills, creativity and ethical values needed to promote peace, prosperity and growth in society. With a strong technical background, students of our department excel in university results, placements and higher studies every year.

Vision

To provide cutting edge learning environment and nurture talent to produce world class computer professionals with ethical values who could excel in industry and research.

Mission

  1. Promote peace, prosperity and growth in society by producing competent computer professionals with strong ethics, leadership qualities and entrepreneurial skills.
  2. Inculcate professional behaviour, research of international quality and continuous learning skills in students through quality teaching-learning process.
  3. Support the professional development of all faculty members in the areas of teaching and research.
  4. Infrastructure upgradation in sync with emerging technologies

 

Courses offered by the department:

Courses/Programs Offered

Intake

B.Tech(CSE)

120

B.Tech(Data Science)

60

B.Tech(Artificial Intelligence)

60

M.Tech (Data Science)

18

M.Tech (Computer Networks)

18

B.Voc. (Software Development)

25

Ph. D. Enrolled

26

 

1. B. Tech (Computer Science and Engineering)

Program Educational Objectives of B.Tech (Computer Science and Engineering)

PEO1: Engineering Ethos: To provide student graduate with sufficient capabilities to prepare them for industry and higher education.

PEO2: Domain prospects: Graduates are prepared to apply technical computing skills with strong logic for successfully executing software /hardware related projects to meet global customer requirements.

PEO3: Diversification: To promote among students the ability to gain multidisciplinary knowledge through projects and industrial training leading to a sustainable competitive edge in research and development.

PEO4: Learning Environment: To inculcate in students, self-sustained learning capability to serve the society at large.

Program Specific Outcomes of B.Tech (Computer Science and Engineering)

PSO1:  Visualization: Visualize the solutions for problems and apply the tools and techniques to design, code, test, debug and implement user friendly systems.

PSO2: System Development and Design: Research upon methodologies and apply emerging technologies in order to design new systems or refine the existing systems.

PSO3: Societal Impact: Able to exploit managerial skills both at individual levels and as team work to implement systems in multidisciplinary realms for societal development.

PSO4: Presentation and Entrepreneurial Skills: Communicate and present systems, research and entrepreneurial efforts effectively to the end users.

2. M. Tech (Computer Networks)

The M. Tech (Computer Networks) is a two year program introduced in 2015 with an intake of 18 students. Students spent three semesters are studying different subjects related to computer networks. Preliminary project work starts in the third semester and the fourth semester is completely allocated for project. The project typically has a strong research component.                     

Program Educational Objectives of M.Tech (Computer Networks)

PEO1: To produce networking engineers who are able to apply knowledge of computer networks and engineering to evaluate, analyze and synthesize existing and new complex networking problems.

PEO2: To provide sufficient depth in computer networking, confidence, professionalism, ethics and experience necessary for successful careers in Computer Networks and related fields.

PEO3: Students are prepared to pursue research career in advanced areas of Computer Networks, Network Security, Cloud computing and related areas.

3. M. Tech (Data Science)

The M. Tech (Data Science) is a two year program introduced in 2018 with an intake of 18 students. Students spent three semesters are studying different subjects related to data science. Preliminary project work starts in the third semester and the fourth semester is completely allocated for project. The project typically has a strong research component.

The course covers important subjects like big data analytics, IOT, predictive analytics, machine learning, high performance computing, next generation databases like MongoDB, data security.     

Program Educational Objectives of M.Tech (Data Science)

PEO1: To produce data science engineers who are able to apply knowledge of machine learning, analytics and IOT to evaluate, secure, analyze and synthesize existing and new complex real world problems.

PEO2: To provide sufficient depth in artificial intelligence, data science, professionalism, ethics and experience necessary for successful careers in Data Science and related fields.

PEO3: Students are prepared to pursue research career in advanced areas like big data analytics, Data Security, Machine learning and related areas.

4. Ph. D (Computer Science and Engineering)

Department is recognized as Research Center For offering PhD program in Computer Science and  Engineering by Chhattisgarh Swami Vivekananda Technical University, Bhilai. The programme focuses on original research that can lead to publications in premier conferences or journals. Students are required to do some courses in the first semester and then move on completely to research.

Program Educational Objectives of PhD (Computer Science and Engineering)

PEO1:  To have an in-depth knowledge of a sub-area of Computer Science and able to publish papers in reputed journals and conferences.

PEO2:  Demonstrate their ability to further the frontier of knowledge in at least one sub-area of Computer Science and capable of guiding other researchers and able to acquire sponsored projects for the development of nation.

PEO3: Develop ethics and abilities for effective communication as researchers and educators.

SHORT-TERM GOALS

  1. Motivate students to participate in STTPs/Seminars/Conferences/Workshops
  2. Motivate students to publish research paper in reputed national and international journals
  3. Promote faculty and students to design and fabricate and implement viable functional projects for the benefit of institution and country.
  4. To promote the faculty for career development by assisting them in acquiring higher qualification and sponsored projects.
  5. To create organizational culture that promotes cooperative learning and team work.
  6. To make people more conscious about quality, attitude, commitment and integrity.

Other

 

News & Events

09

May

Skill Up-gradation program on Programming with Python & Computer Hardware and Networking

  • Skill Up-gradation program Under AICTE KARMA Scheme on Programming with Python & Computer Hardware and Networking (Start from 09th May-2022)

22

Apr

Expert Lecture on Cloud Computing@CSE Dept.

  • Expert Lecture on Cloud Computing@CSE Dept.

01

Jun

AICTE Training and Learning (ATAL) Academy Faculty Development Program (FDP) (ONLINE MODE) On “Next Generation Databases” 1st June – 5th June 2021

  • AICTE Training and Learning (ATAL) Academy Faculty Development Program (FDP) (ONLINE MODE) On “Next Generation Databases” 1st June – 5th June 2021

26

May

BHILAI INSTITUTE OF TECHNOLOGY, DURG AICTE-CSVTU MoU TEACHER'S TRAINING PROGRAM - 2021 ONE WEEK TEACHERS TRAINING PROGRAM (From 26-05-2021 to 31-05-2021)

  • BHILAI INSTITUTE OF TECHNOLOGY, DURG AICTE-CSVTU MoU TEACHER'S TRAINING PROGRAM - 2021 ONE WEEK TEACHERS TRAINING PROGRAM (From 26-05-2021 to 31-05-2021)

04

Feb

SIH Internal hackathon

  • As per AICTE instructions Internal hackathon has been conducted

19

Nov

BIT Shine 2019

  • Hardware and Software Programming contest

11

Nov

SPECTRAL INSIGHTS OF MACHINE LEARNING PARADIGMS

  • 15 Days ML workshop

22

Jun

IIT Mumbai Remote centre workshop

  • One day workshop on Python

11

Mar

TEQIP III workshop on WSN

  • 1 Day workshop on Wireless Sensor Networks

25

Feb

Hack-a-tron

  • A non-stop coding competition

15

Nov

BIT Shine 2018

  • Programming contest

15

Sep

51st Engineers Day Celebration

  • We celebrated Engineers Day with various competitions & Events

18

Aug

QuadCopter

  • Prof. Babita Verma organized this workshop under PAC-BIT

18

Aug

Workshop on AI & Deep learning

  • A workshop for students on AI & Deep learning

09

Aug

Startup India Chattisgarh Yatra Boot Camp

  • Directorate of Industries chattisgarh organized this event

07

Aug

Industry ready workshop

  • Prof. Sudip, Prof. Chaitali and Prof. Sargam conducted hands-on workshop on MongoDb, Android and IOT

27

Jul

Application of deep learning and computer vision

  • Mr. Satyam Khandelwal from CHIPS conducted workshop on Deep learning and computer vision

17

Mar

Expert lecture on AI and ML

  • Mr. Ali mustafa conducted a workshop on AI and ML

15

Feb

BITCON 2018

  • National Conference I3C 2018
Faculty
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Dr. Venkata Padmavati Metta

Professor & Head of the department

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Dr. Sunita Soni

Professor

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Dr. D. P. Mishra

Associate Professor

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Dr. Partha Roy

Associate Professor

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Prof. Ashok Kumar Behera

Associate Professor

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Dr. Sumit Kumar Sar

Associate Professor

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Prof. Shweta Kharya

Associate Professor

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Prof. Sudip Kumar Bhattacharya

Associate Professor

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Prof. Shankha De

Associate Professor

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Dr. Pawan Kumar Patnaik

Associate Professor

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Prof. Saurabh Singh

Associate Professor(Adhoc)

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Prof. Vivek Parganiha

Associate Professor (Adhoc)

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Prof. Dinesh Kumar Bhawnani

Assistant Professor

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Dr. Monika Arya

Assistant Professor

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Prof. Shiv Dutta Mishra

Assistant Professor

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Prof. Kauleshwar Prasad

Assistant Professor

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Prof. Monika Verma

Assistant Professor

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Prof. Chaitali Choudhary

Assistant Professor

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Prof. Sargam Gupta

Assistant Professor

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Prof. N. Chiranjeeva Rao

Assistant Professor

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Prof. Sanjeev Shrivastava

Assistant Professor

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Prof. Nikita Ahuja Jeswani

Assistant Professor

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Prof. Sunil Kumar Naik

Assistant Professor

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Prof. Vibhore Jain

Assistant Professor

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Prof. Revati Raman Dewangan

Assistant Professor

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Prof. Amit Thakur

Assistant Professor

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Prof. Shanu Pandey

Assistant Professor

Staff
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R. Ravi Kumar

Sr. Lab Assistant Employee ID : 20198 Date of Joining : 09-05-2007 Nature of Association : Regular
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Mr. Vivek Vardhan Sahu

Sr. Lab Instructor Employee ID : 20114 Date of Joining : 06-01-1999 Nature of Association : Regular
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Mr. Praveen Uke

Sr. Lab Instructor Employee ID : 20168 Date of Joining : 30-05-2005 Nature of Association : Regular
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Mrs Priyanka Pandey

Sr. Lab Assistant Employee ID : 20116 Date of Joining : 04-12-2007 Nature of Association : Regular
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Mrs. Surekha Pagey

Sr. Lab. Instructor Employee ID : 20210 Date of Joining : 07-08-2007 Nature of Association : Regular
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Shri Parmanand Sahu

Lab Asstt. Employee ID : 20091 Date of Joining : 29-03-1997 Nature of Association : Regular
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B. Sai Maheswar Raju

Sr. Lab Instructor Employee ID : 20079 Date of Joining : 03-08-1995 Nature of Association : Regular
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Mr. Someshwar Rao

Sr. Lab Instructor Employee ID : 20093 Date of Joining : 07-05-1996 Nature of Association : Regular
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Shri Raju Nanda

Sr. Office Attendant Employee ID : 20085 Date of Joining : 21-08-1995 Nature of Association : Regular
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Shri G K Sunder Rao

Attendant Employee ID : 20207 Date of Joining : 02-08-2007 Nature of Association : Regular
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Mr. Vedram Verma

Office Attendant Employee ID : 21033 Date of Joining : 19-11-2001 Nature of Association : Regular
Laboratory

S. No.

Name of Laboratory

Professor In-charge

Staff In-charge

Major Facilities

1.

Computer Lab 1

Prof. Dinesh Bhawnani

Mr.   Someshwar Rao

32 Systems. Lenovo Think centre Desktop 4th Gen/Core I3, 8GB RAM, 1TB HDD, 18.5" monitor.
Software: Dual booted with Windows and Linux. Oracle server & client, Net beans , Visual Sudio, Visual prolog, MATLAB  and all required Open Sources Software installed

1 Projector EPSON-EB X41 Ceiling Mount

2.

Computer Lab 2

Prof. Partha Roy

Mr.   Someshwar Rao And  Mr. Vivek Vardhan Sahu

32 Systems. Lenovo 6th Gen core I5 Processor , 8GB RAM, 1TB HDD, 19.5" monitor, NVIDIA graphics card GT170/GT730 2GB DDR

Software:  Dual booted with Windows and Linux. Oracle server & client, Net beans , Visual Sudio, Visual prolog, MATLAB  and all required Open Sources Software installed

1 EPSON-EB X 41 Ceiling Mount

 

3.

Software Technology Laboratory

Prof. S. D. Mishra

Mrs.  Priyanka Pandey

44 systems. Lenovo Think centre Desktop 4th Gen/Core I3 , 8GB RAM, 1TB HDD, 18.5" monitor

Software: Dual booted with Windows and Linux. Oracle server & client, Net beans , Visual Sudio, Visual prolog, MATLAB  and all required Open Sources Software installed, NET Sim and all required Open Sources Software, NS2, Wireshark and TCP dump

1 EPSON-EB X 41 Ceiling Mount Projector

4.

Data & Network Security Laboratory

Prof. Sargam Gupta

Mr.   Praveen Uke

40 laptops. Lenevo Thinkpad core I5/8th Gen/8GB RAM/1TB HDD, IRIS Processor/Radio Boards (XM2110),Prototype/Data Acquisition Boards (MDA100),USB PC Interface Boards (MIB520), Crimping & Punching tools

Software: QualNet Simulator Lan Trainer kit (Wired and Wireless),NET SIM Academic upgrade 35 - user, Qual Net System Level Simulator, LAN Trainer Kit LT-01 (TETCOS)

1 Projector: Hitachi CP RX 79 Mounted

5.

Computer Hardware Laboratory

Prof. Kauleshwar Prasad

Mr.   Vivek Vardhan Sahu

Computer Hardware Trainer, Computer Peripheral Trainer, Notebook Computer Trainer, Motherboard Trainer with CPU, Hard disk Trainer, SMPS Power supply Trainer, Color Monitor Trainer,Digital Multimeter,Pen Drive / Flash Drive Trainer Sigma Make, LCD Monitor Trainer, Keyboard Trainer, Mouse Trainer and 08 systems

6.

Basic Electronics Laboratory (Shared with Elex Deptt.)

Prof. S. D. Mishra

Mr. Khomlal Sahu

Oscilloscope, Scientific power supply multimeter, diode, transistor, FET

7.

Digital Electronics & Logic Design Laboratory

Prof. Kauleshwar Prasad

Mr. Nitin Pandey

1 Rasberry Pi Kit : Rasberry  pi 3 2. 32GB class 10 Memory Card, 3. HDMI to VGA Cable, 4. Raspberry PI Charger, 5.  Rasberry Pi Official Case and 1 Arduino Kit, Arduino Board with Cable - 01, 2. Bread Board - 1, 3. Jumper Wires -1, 4. 7447 IC-1, 5. 7474 IC-2, 6. 7 Segment Display,7. LED,8. 1 K Ohm Resistor-1,19.5” LED LG Monitor with HDMI input, IOT Kits and Sensors,Sensor Module Kit,  PIR motion detector, color recognition and gas sensor

8.

Microprocessor Laboratory (Shared with Elex Deptt.)

Prof. Saurabh Singh

Mr. Kisun Lal Sahu

  • IDE 8085 Simulator,
  • IDE 8086 Simulator,
  • Dyna 8085 Kit,
  • Dyna 8086 Kit,
  • HIL 2962 RAM Programmer

9.

R & D Laboratory

Prof. Sumit Sar

Mr.   Praveen Uke

03 workstations and 07 systems : workstation server/P410/intel c612 chipset/oct-core processor/1TB HDD/16GB RAM

1 Printer: HP LaserJet P1007

10.

PG/D-Link  Laboratory

Prof. Shankha De

Mr.   Praveen Uke

14 systems. Lenovo 7th Gen core I5 Processor , 8GB RAM, 1TB HDD, 19.5" monitor, NVIDIA graphics card GT710/2GB DDR, switches, access points, routers, MATLAB R2018B, HD IR Outdoor Network Camera, 2 Bay Professional Network video recorder, Wireless H.264 Day and Night Pan Camera  DCS-5020L

1 Projector: EPSON-EB X 41

Research & Development

DETAILS OF SPONSORED RESEARCH

Sl. No.

Title of Research Project

Name of PI/Co-PI/ Joint PI

Duration of the Project

Total Grants Received

(In Lakhs)

Name of the funding agency

1

Innovative research in pedagogy for Mini-MOOCs blended instruction strategies to enhance quality of Higher Education

Co-PI-
Dr. M. V. Padmavati

2016-2017

9.09

Royal Academy of Engineering, UK and Thapar University, Patiala, India

2

European Commission Erasmus+ Programme Key Activity 107- Higher Education Student and Staff Mobility

Dr. M. V. Padmavati- Erasmus+ Coordinator

2017-2019

23.2

European Union

3

Making Deep Learning and AI Skills Mainstream in India to fulfill Trilateral Needs of Entrepreneurship Industry -academia Partnership and application inspired Engineering Research

Co-PI-
Dr. M. V. Padmavati

2017-2020

-

Royal Academy of Engineering, UK

Total

32 Lakhs

 

DETAILS OF PATENTS AND COPYRIGHTS

S.NO PATENT OR COPYRIGHT NUMBER TITLE DATE MEMBERS Copy Right/Patent
1 SW-11941/2018 Students Feedback Management System 5.12.2018 Dr. Arun Arora
Dr. Arpana Rawal
Mr. Sarang Pitale
Mr. Jayant Mahawar
Ms. Maduri Mahawar
Ms. Rashmi Maheshwari
14888/2018-Co/SW
2 SW-1215/2016

Weighted Associative Classifier Version 1.0

(WAC v 1.0).
08/07/2017 Mrs. Sunita Soni 1215/2016-CO/SW

 

 

DETAILS OF FACULTY MEMBERS ELIGIBLE AS PHD SUPERVISOR

Sl. No.

Subject/ Branch

Name

Designation (As per Statute 19 or State Govt.)

Research Areas

Total Teaching Experience

Vacant Position of Seat of Ph.D. Scholars

Total

UG

PG

GEN

SC

ST

OBC

Total

1

Computer Science and Engineering

Dr. M. V. Padmavati

Professor

Theoretical Computer Science, Deep Learning, NLP

20

20

20

0

1

1

1

3

2

Computer Science and Engineering

Dr. Ramesh Kumar

Professor

Modeling and Simulation , Data Analysis

23

23

21

-

-

-

-

Nil

3

Computer Science and Engineering

Dr. Arpana Rawal

Professor

Machine Learning , AI, Text Mining

21

21

16

-

-

-

-

Nil

4

Computer Science and Engineering

Dr. Partha Roy

Associate Professor

Computer Technology & Applications

18

18

03

-

-

-

-

06

5

Computer Science and Engineering

Dr. Pawan Patnaik

Assistant Professor

Theoretical Computer Science

14

10

08

-

-

-

-

06

Newsletter

  • July 2022
  • April 2022
  • Snapshot (JAN 2022)
  • Snapshot (OCT 2021)
  • Snapshot (JUL 2021)
  • Snapshot (APR 2021)
  • Snapshot (JAN 2021)
  • Snapshot Jan 2020
  • Snapshot Oct 2019
  • Snapshot July 2019
  • April 2019
  • Snapshot Jan 2019
  • Snapshot October 2018
  • Snapshot July 2018
  • Snapshot April 2018
  • Snapshot Jan 2018
  • Snapshot October 2017
  • Snapshot July 2017
  • Snapshot Apr 2017
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