Department of
Computer Science and Engineering, TIET

Delivering a research-led, experience-based, career-oriented and stimulating environment for producing industry leaders

The Department of Computer Science and Engineering offers a 4-year B.E. programme in Computer Engineering, Computer Science & Engineering and Computer Science & Business Systems. It also offers an M.E. in Computer Science and Engineering, and an M.E. in Software Engineering and MCA.


At the undergraduate level, the Department lays emphasis on Algorithm Analysis and Design, Data Structures, Software Engineering, Operating Systems, Computer Graphics, Database and information Systems, and Computer Networks as core computing subjects. The Department provides exposure to emerging technologies by collaborating with some of the leading technological giants in the domain of Computer Science. Students are offered elective focus choices at the end of their second year of study. 


In addition to undergrad programs, postgraduate programs are being run with ever-growing focus on research resulting in many top-level publications by the faculty members. Good number of research projects from the government and the industry are awarded to CSE
faculty members, which in-turn enhance their exposure, teaching quality and research acumen.


The key research areas of the Department are in the field of Big Data Analytics, Cyber security, Image Processing, Cloud computing, Theoretical computer science, Information systems, Software engineering and Computer networking.
 

Career-oriented academic structuring

The department is well applauded for its modern, up-to-date and contemporary academic curriculum, programmes, mechanisms and structures. The educational setup powered by the department’s state-of-the-art facilities, research bent, technology-driven environment and industry-relevant practices ensure a stimulating development regime for students. It produces competent professionals who have the capability to take on leading roles in industry, academia and as entrepreneurs. The students are encouraged to start careers in research, incubate their start-ups or deep-dive into the core computing industry.

Hands-on experiences and activities

Specialising in designing engineering programmes shaped by project-based learning experiences, real-world models, modules like Innovation and Entrepreneurship, the department shines out as one of the most innovative ones at TIET. The department’s current computing course is benchmarked with ACM/IEEE curricula that results in excellent industry attachment programme and research-led education. The overall experience is inspired by innovation, entrepreneurial skills and research competence.

Mission

  • To provide the state of art infrastructure and professional environment that enables students and staff to make significant contribution in Computer Science and Engineering.
  • To be dynamic, innovative and flexible in devising academic programmes, structures and mechanisms.
  • To produce globally competent graduates having creative skills and ethical values keeping pace with ever-changing technological advancements in Computer Science and Engineering.
  • To carry out quality research and development for the benefit of society.

Vision

To be recognized as a leader committed to excellence in Computer Science and Engineering education, research and innovation.


Message from Head of the Department

Dr. Shalini Batra

We at the Computer Science and Engineering department offer some of the best Computer Engineering/Computer Science and Engineering undergraduate programs for generation Z.
We have carefully crafted our undergraduate program to offer elective focus in ten major areas of computing which include Data Science (In Collaboration with Coursera), Robotics and Edge Artificial Intelligence (AI) (In Collaboration with NVIDIA), Conversational Artificial Intelligence (AI) (In Collaboration with NVIDIA), Information and Cyber Security (In Collaboration with Thrivedx, Israel), Financial Derivative (In Collaboration with Future First Academy), Full Stack (Xebia Academic Alliance), DevOps and Continuous Delivery (Xebia Academic Alliance), High Performance Computing, Computer Animation and Gaming, Mathematics and Computing. 
With these choices, we hope to fulfil the requirement of the industry as well as quench the thirst of budding professionals. Apart from these, design projects throughout the program highlight life-long outcome-based, research led teaching pedagogy. 
In addition to undergrad programs, postgraduate programs are being run with ever-growing focus on research resulting in many top-level publications by the faculty members. Good number of research projects from the government and the industry are awarded to CSE faculty members, which in-turn enhance their exposure, teaching quality and research acumen.
We are situated in new learning block at TIET, exhibiting state-of-the-art lab/research infrastructure unparalleled in this part of the world. This infrastructure houses 27 undergraduate/postgraduate laboratories, 15 research/doctoral student labs and a data centre; leading to more incubations, creative ideations and computing professionals coming out of the portals of CSE department.
In case you still strive to know more, we shall be more than happy to reply to your queries.

Shalini Batra
Contact: hcsed@thapar.edu, +91-01752393137, 38
 



Research-Intensive Training

Delivering excellence via varied research avenues, trained faculty and innovation

Major Research Areas

  • Cyber Physical Systems and Information Security
  • Big Data Analytics and Smart Cities
  • Computational Intelligence
  • Cloud and Software Systems
  • Computer Animation and Gaming
  • Language Technologies and Machine Learning

Ongoing Sponsored Projects

  • Distributed Data Deduplication Technique for Efficient Cloud Storage System DST
  • An Adaptive Security System for Optimum Inter-domain Virtual Machines DST (VM) Migration
  • An Efficient Software Defined Network (SDN) based Framework for Big Data DST Processing in Cloud Data Center
  • QoS aware Energy Management Scheme for Self-sustainable Data Centres using DST Renewable Energy Sources
  • Energy Management of the Smart Home using CLOUD Infrastructure – CSIR A Utility Perspective
  • Electric Vehicle Charging Station as a Voltage and Frequency Regulator within the DST Real Time Capability of the EVs Available, in presence of Intermittent Renewable Energy Resources
  • Research and Development of Smart, Secure, Scalable, Resilient and Adaptive DST Cyber-Physical System (S3RA-CPPS)
  • Automatic Generation of Sign Language from Hindi Text for Communication DST and Education of Hearing Impaired People
  • SmartGlucoBinder: Design and Synthesis of Small Glucose Binder Molecule using DST Computational Intelligence Approach
  • Study of Antenna Parameters DRDO
  • Smart Irrigation and Fertilisation System for Precision Agriculture using Internet of CSIR Things and Cloud Infrastructure
  • Development of Novel Network Traffic Dataset Abridging Technique for Intrusion Thapar Detection System Institute (TIET)
  • Energy Efficient Real Time Adaptive Lighting System for University Campus Thapar Institute (TIET)
  • Development of CamEYE for Visually Challenged
  • Development of a Tool in Aid for Patients Suffering from Amyotrophic Lateral Sclerosis using the Developed Low-cost Eye Tracker

Research Facilities

  • 23 core computer labs are dedicated to courses namely Computer Programming, Data Structures and Algorithms, Network Systems, Software Engineering, System Software, Database Management System, Information Security, Computer Graphics, Embedded System and Engineering Design. Each lab is equipped with 30 All-In-One/Desktops with 24” display, Intel i7 processor, 8/16 GB RAM, 1TB/500GB HDD and 250/500GB SSD.
  • Engineering Design Labs have Intel® Galileo Kit, Arduino-DF Robot, Wi-Fi and Bluetooth on Galileo - Intel® Centrino N135 min-PCIe, GSM/GPRS, Shield kits, ARM kits, Arduino, NVIDIA Jetson Nano 2GB and Raspberry Pi kits.
  • Machine Learning Lab caters to artificial intelligence and has 30 workstations with 4GB GPU processors. NVIDIA DGX Station and DGX A100 Server enable the students to perform GPU based deep learning experiments.
  • Gaming Animation and Computer Graphic Labs have 60 Apple iMac machines with 27” Retina 5K display, Intel Core i7, 16 GB RAM and 1TB Flash drive configuration. There are 20 Cintiq 24” touch screen displays with stylus for computer graphics.
  • Motion Capture Lab
  • PG Research and PG Activity Spaces for Master’s courses. PG Research Lab has high-end workstations having Intel Xeon processor, 8GB RAM, 1TB HDD configuration.
  • Dedicated labs for Ph.D. students having GPU Computing Dell T-5600 workstations with Intel Xeon e5 2650 2.6GHz processor, 16GB RAM and 2GB NVID1A Graphics Card.
  • Ten research and industrial project liaison labs namely High Performance and Computing Lab, Cyber and Information Security Research Lab, Cloud and IoT Research Lab, Smart Cities Research Lab, Autonomous Robotic Lab, Data Science Lab, Artificial Intelligence Lab, Computer Vision Research Lab, Computational Intelligence Research Lab, Software Design Lab and Language Technologies and Machine Learning Research Lab are dedicated for industrial research collaboration.
  • Major Milestones

    last academic year

  • 2021

    NBA Accreditation

  • 2022

    ABET Accreditation

  • 321

    Papers published in SCI/SCIE Journals
  • 26

    Patents

  • 85

    H Index of CSED

  • 2018

    State of the Art Design

  • 19

    Ongoing Projects

  • Rs. 55.75 lacs per annum

    Max. Salary Offer 2022

Choicest faculty to lead you to the pinnacle of success

The Department of Computer Science and Engineering has expertised faculty members specialising in network security, cloud computing, big data and IoT, networks and cryptography, machine learning, software engineering, software testing, segmentation, algorithms, wireless sensor networks, digital image processing, data analytics, computer forensics, cyber law, etc. Young, dynamic and dedicated faculty, most of whom hold PhD degrees shape the future of the department. The department faculty ensures students get sufficient exposure to emerging technologies as well as futuristic technologies like High Performance Computing, Computer Animation and Gaming, Machine Learning and Data Analytics, Information and Cyber Security and Software Engineering. The teaching methodology includes group work, creativity, discussion and dialogue, active learning, reflective practice, flipped classroom, evaluation and feedback.


Alumni Success Stories

Delivering excellence via varied research avenues, trained faculty and innovation.


Latest Placements

14 lacs per annum

Average Salary Package

20+ companies

At our Placement drive
  • Lucrative career opportunities, excellent placement prospects and extensive exposure for TIET students.
  • 150+ students given a chance to intern and work with their dream organisations.

Latest News & Events

Delivering excellence via varied research avenues, trained faculty and innovation.

Sukhbir Singh, Ayush Pushkarna and Balkar Singh from Computer Science and Engineering Department were awarded

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Winners Smart India Hackathon

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First Runner Up at  Major League Hacking HackCBS

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