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

At the undergraduate level, the Department lays emphasis on Software Engineering, Algorithm Analysis and Design, Operating Systems, Computer Graphics, Database and information Systems Engineering and Networking Technologies. The Department provides 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 key research areas of the Department are in the field of Cloud computing, Theoretical computer science, Data mining, Information systems, Software engineering and Computer networking.

The focus of the department is on state of the art projects done by our BE and ME students, excellent teaching learning process, better alumni relations, good industry attachment program through project semester and outcome based education.

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, Professional Practices and Independent Study, the department shines out as one of the most innovative ones at TI. 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

Maninder Singh, Ph.D.

Welcome to the Department of Computer Science and Engineering. I am delighted that you are showcasing your interest to know more about us, virtue being this web presence. This web-site holds information for all the stakeholders. We at Computer Science and Engineering department offer one of the best Computer Engineering undergraduate program aimed at the super-creative generation.

We have carefully crafted our undergraduate program to offer elective focus in six major areas of Computing: High Performance Computing, Machine Learning & Data Analytics, Computer Animation and Gaming, Cyber and Information Security, Software Engineering and last but not least Mathematics and Computing. Apart from these, design projects through-out the program highlight life-long outcome based, research led teaching pedagogy. With these choices, we hope to fulfil the requirement of industry as well quench the thirst of budding professionals.

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

In near-future, you shall be able to see world-class, state-of-the art lab/research infrastructure unparalleled in this part of world being unfolded to CSE fraternity at Thapar Institute of Engineering & Technology. As this infra with 25 undergraduate/postgraduate laboratories, 5 research centre and data centre starts its operations, a new era of computing shall dawn at our premises; leading to more incubations, creative ideations and computing professional coming out of the portals of CSE department.

I sincerely hope your investment of time on these pages of CSE department shall reap great benefits as per your interest.

In case you still strive to know more, I shall be more than happy to reply to your queries.

Technology-led academic programmes

250 acre campus offering comprehensive computer engineering programmes

The department offers graduation, post graduation, and doctoral programmes under its academic structure.

Research-Intensive Training

Delivering excellence via varied research avenues, trained faculty and innovation

Major Research Areas

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

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 Lab, Network Systems Lab, Software Engineering Lab, System Software Lab, Database Management System Lab, Information Security Lab, Computer Graphics Lab, Embedded System Lab and Engineering Design Lab. Each lab is equipped with 30 all-in-one 24”, Intel i7 processor, 8GB RAM, 1TB HDD machines.
  • 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 and Raspberry Pi kits.
  • Machine Learning Lab caters to artificial intelligence and has 30 workstations with 4GB NVIDIA GPU processors.
  • Gaming and Animation Lab has 60, 27” Retina 5K, Intel Core i7 with 16 GB RAM Apple iMac machines. Animation lab has a 20, 24” Cintiq touch screen with stylus.
  • 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 Dell workstation T-5600 Intel Xeon e5 2650 2.6GHz RAM 8GB, 2GB NVID1A Card GPU Computing Workstations.
  • Ten research and industrial project liaison labs namely High Performance Computing, Cyber and Information Security Research Lab, Cloud and IoT Research Lab, Smart Cities Research Lab, Big Data Research Lab, Data Science Lab, Artificial Intelligence Lab, Computer Vision Research Lab, Computational Intelligence Research Lab, Software Design Lab and Language Computing Research Lab.
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  • Major Milestones

    last academic year

  • 2017

    NBA Accreditation

  • 2018

    State-of-the-Art CSE Block designed by McCullough Mulvin Architects, Dublin, Ireland

  • 2018

    ABET Accreditation

  • 321

    Papers published in SCI/SCIE Journals

  • 224

    Papers published in non-SCI Journals

  • 309

    Conference

  • 2

    Patents

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.

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Alumni Success Stories

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

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Top Recruiters

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.

FDP from 3-7 March 2020 for E-Box

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