Computer Science & Engineering​
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ABOUT THE DEPARTMENT
VISION
To communicate quality Computer Science Education for producing globally identifiable skilled technocrats and entrepreneurs upholding sound ethics, profound knowledge, and innovative ideas to meet industrial and societal expectations.
MISSION
M1Â To impart value-based technical knowledge and skill relevant to Computer Science and Engineering through effective pedagogies and hands-on experience on the latest tools and technologies to maximize employability.
M2Â To strengthen multifaceted competence, nurture creativity, and innovation, andcreate entrepreneurial environment for an ever-changing technological scenario requiring communally cognizant solutions.
M3Â To create an appetite for research, and higher education in contemporary, and emerging areas of Computer Science.
M4Â To inculcate the moral, ethical, and social ideals essential for prosperous nation building.
GOALS
To prepare the students with strong fundamental knowledge for challenging careers in the sciences, humanities and management to lay a strong foundation for higher study and research to mark a global impact.
MESSAGE FROM HOD
Welcome to the Department of Computer Science and Engineering at NIT Delhi!
It is my pleasure, as the Head of the Department, to extend a warm welcome to all students,researchers, collaborators, and visitors.
The Department of Computer Science and Engineering at NIT Delhi takes immense pride in offering forward-looking academic programs and fostering a vibrant environment for innovation, research, and excellence. Established in 2010 with an initial intake of 30 students, the department has grown significantly and currently admits 120 students annually in its flagship B.Tech. program.
We offer a wide range of academic programs including:
- B.Tech. in Computer Science and Engineering
- B.Tech. in Artificial Intelligence and Data Science
- M.Tech. in Computer Science and Engineering
- M.Tech. in Computer Science and Engineering (Analytics)
- MCA in Computer Science and Engineering (recently introduced to meet emerging industry demands)
- Ph.D. programs in various frontier areas of computing
Our doctoral research spans a broad spectrum of areas such as Algorithms, Computer
Networks, Software Engineering, Machine Learning, Image Processing, Web Technologies, Data Analytics, Complex Networks, Wireless Sensor Networks, Data Warehousing and Mining, AI, Gen AI, Quantum Computing, Natural Language Processing, among others.
To support high-quality research and hands-on learning, the department houses several state-of-the-art laboratories, including:
- Computer Programming -1
- Ubiquitous Computing Lab
- Artificial Intelligence & Data Science Lab
- Computer Networks & Architecture Lab
- Information Security And Software Engineering Lab
- Intelligent Systems Lab
- Data Analytics and Vision for Smart Environments Lab (DAViSE)
- Visual Computing And Robotics Lab (VCR)
- Programming Lab-2
- Ai Research Lab
- Complex System Lab
These labs promote interdisciplinary collaboration and provide platforms for both students and faculty to engage in cutting-edge innovation.
Our faculty members are highly accomplished researchers and educators, deeply committed to mentoring students and advancing knowledge in their respective fields. We maintain active collaborations with leading academic institutions, research organizations, and industry partners to ensure our students gain real-world exposure and are well-prepared to tackle global challenges.
The department is also actively engaged in research initiatives that address pressing societal and technological needs. We regularly host international conferences, workshops, and faculty development programs, providing a dynamic platform for intellectual exchange and professional development.
At NIT Delhi, we are committed to nurturing a stimulating and inclusive academic environment that cultivates critical thinking, creativity, and leadership. Our goal is to empower students to become innovators, researchers, and industry-ready professionals who make meaningful contributions to the world of technology. We invite aspiring minds to join our vibrant academic community and contribute to the exciting journey of advancing Computer Science and Engineering.
With best wishes,
Head, Department of Computer Science and Engineering
National Institute of Technology Delhi
PROGRAMME EDUCATIONAL OBJECTIVES
PO-1Â To prepare graduates with a solid foundation in Engineering, Mathematical Science and technology for a successful career in Mathematics & Computing/ Finance/Computer Engineering fields.
PO-2 To prepare graduates to become effective collaborators/ innovators, who could ably address tomorrow’s social, technical and engineering challenges.
PO-3To enrich graduates with integrity and ethical values so that they become responsible engineers.
PO-4To apply mathematics, numerical computation, and applications of systems-oriented ideas to the physical, biological, social, and behavioral sciences.
PO-5To develop the computational approach on new algorithms, their analysis, and numerical results.
PROGRAMME EDUCATIONAL OBJECTIVES
B Tech Computer Science and Engineering
PEO-1Â Graduates are prepared to be employed in IT industries and be engaged in continuous learning, understanding, and applying innovative ideas while maintaining strong ethical standards.
PEO-2Â Graduates are prepared to pursue higher studies and continue to develop their professional knowledge.
PEO-3Â Graduates are equipped to do research in areas of specialization and the allied fields.
PEO-4Â Graduates are prepared to meet the changing needs of society through knowledge-based service, exhibit leadership qualities with demonstrable attributes in lifelong learning and become successful entrepreneurs.
M Tech Computer Science and Engineering (Analytics)
PEO-1Â Post Graduates will establish themselves as influential professionals by solving real problems through computer science knowledge and with attention to teamwork, effective communication, critical thinking, and problem-solving skills.
PEO-2Â Post Graduates will demonstrate their ability to adapt to a rapidly changing environment by learning and applying new skills and technologies.
PEO-3Â Post Graduates shall drive scientific and societal advancement through technological innovation and entrepreneurship.
PEO-4Â Post Graduates will be prepared for excellence and leadership roles along diverse career paths, encouraging professional ethics and active participation needed for a successful career.
PROGRAMME OBJECTIVES
B Tech Computer Science and Engineering
Engineering Graduates will be able to:
1. Engineering knowledge:Â Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis:Â Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. Design/development of solutions:Â Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4. Conduct investigations of complex problems:Â Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5. Modern tool usage:Â Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6. The engineer and society:Â Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7. Environment and sustainability:Â Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8. Ethics:Â Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work:Â Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. Communication:Â Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12. Life-long learning:Â Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
M Tech Computer Science and Engineering (Analytics)
Post Graduates will have the ability to:
1Â Ability to apply knowledge to design and analyze complex engineering problems using appropriate analytical methods.
2Â Ability to independently carry out research /investigation and development work to solve practical problems.
3Â Ability to write and present a substantial technical report/document.
4Â Post Graduates should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
5Â Post Graduates will show the understanding of technical communication and the impact of Engineering solutions on the society and also be aware of contemporary issues.
PROGRAM SPECIFIC OUTCOMES (PSOs)
B Tech Computer Science and Engineering
PSO-1Â Ability to analyze, develop and design new tools and approaches to create cutting-edge solutions for Industry.
PSO-2Â Ability to carry out research and education in trans-disciplinary fields to solve the problems of national as well as international significance.
M Tech Computer Science and Engineering (Analytics)
PSO-1Â To be able to analyze, interpret and provide solutions to the advanced software tools for designing real-life computer science and engineering problems.
PSO-2Â Ability to practice as an ethical Analytics Engineer or Researcher in the evolving disciplines of Computer Science and Engineering and its allied application domains by employing soft and project management skills learned through internships, project work, and collaborative projects with industry.
CONTACT INFORMATION
Head of the Department
Department of Computer Science & Engineering
Office: Room No. 212, National Institute of Technology Delhi
Plot No. FA7, Zone P1, GT Karnal Road, Delhi-110036, INDIA
Phone No: +911133861120, +911133861121(office)
E-mail: hodcse@nitdelhi.ac.in
FACULTY MEMBERS
Photo | Name | Designation | Contact No. | |
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Email: director@nitdelhi.ac.in Designation: Professor (HAG) Qualification: Ph.D. Area of Interest: Optical Communication Systems: Performance Analysis and Dispersion Compensation for Broadband Optical Systems and Networks (Linear and Non-linear), Radio-over-Fiber, Soliton Transmission links. |
011-33861001 | ||
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Email: sikkag@nitdelhi.ac.in Designation: Professor Qualification: Ph.D. Area of Interest: Data Mining, Data Warehousing, Databases, Data Science, Data Analytics, Big Data, Software Engineering, Security,Cloud Computing |
+11-33861120 (O) | ||
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Email: shellysachdeva@nitdelhi.ac.in Designation: Associate Professor Qualification: PhD (Computer Science and Engineering) from University of Aizu, Japan Area of Interest: Big Data, NoSQL Databases, Query languages interfaces, Usability, Health Informatics, Blockchain Machine Learning, Data Analytics. |
011-33861124 (O) | ||
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Email: anuragsg@nitdelhi.ac.in Designation: Associate Professor Qualification: Ph.D. Area of Interest: Machine Learning, Intelligent Transportation System, Federated Learning, Video Analysis, Video Captioning, Networks, Network Reconstruction, Social Network Analysis, Complex Networks, Graph Spectra, Time Varying Networks, Recommender Systems, Opinion Dynamics, Data Analytics, Mathematical Modeling of Epidemic Spreading, Efficient routing in Communication Networks. |
+11-33861120/22 (O) | ||
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Email: karanverma@nitdelhi.ac.in Designation: Associate Professor Qualification: Ph.D.(Universiti Teknologi Petronas, Malaysia) Area of Interest: Mobile Security, 5G, IPv6, VANET, Cloud Computing, Internet of Things (IoT), Cyber Security, Machine Learning |
011-33861123 (O) | ||
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Email: Munesh.singh@nitdelhi.ac.in Designation: Associate Professor and Head Qualification: BE, M.Tech, Ph.D Area of Interest: IoT, Network Security, Wireless Sensor Network, Robotics, Embedded System |
011-33861131 | ||
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Email: vipinpal@nitdelhi.ac.inn Designation: Assistant Professor Qualification: PhD Area of Interest: Wireless Sensor Networks, Internet of Things, Data Mining, Bioinformatics, Security |
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Email: amandeepk@nitdelhi.ac.in Designation: Assistant Professor Qualification: Ph.D Area of Interest: Internet of Things, Cloud Computing, Fog Computing |
011-33861076 | ||
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Email: gautam@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD (CSE) from NIT Rourkela Area of Interest: Biometrics, Image Processing and Computer Vision, Pattern Recognition and Machine Learning, Healthcare and Robotics | |||
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Email: gunjan.rehani@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD Area of Interest: Wireless Sensor Networks, Internet of Things, Optimization Techniques |
011-33861076 | ||
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Email: sahil.neelam@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD Area of Interest: Edge Computing, Data Analytics, Bibliometrics | |||
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Email: ankur@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD Area of Interest: RDHAI, Quantum Computing, Image Processing |
+011-22861126 | ||
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Email: DrGulabSah15@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD Area of Interest: Network Security, Machine Learning | |||
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Email: nishasingh@nitdelhi.ac.in Designation: Assistant Professor Qualification: PhD Area of Interest: Applied Deep Learning, Intelligent Transportation Systems, Traffic flow prediction |
STAFF MEMBERS
Photo | Name | Details |
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Mr.Manish Kumar Malik |
Email: Malik.manish@nitdelhi.ac.in Designation: Technical Assistant Qualification: MCA Specialization: |
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Mr. Sanjeev Kumar |
Email: sanjeev@nitdelhi.ac.in Designation: Technical Assistant Qualification: B.E. (CSE) Specialization: |
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Mr. Somesh Kumar |
Email: somesh@nitdelhi.ac.in Designation: Technical Assistant Qualification: B.Tech Specialization: |
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Mr. Vikas Bhardwaj |
Email: vikasbhardwaj@nitdelhi.ac.in Designation: Senior Technician Qualification: Diploma Specialization: |
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Mr. Pradeep Kumar |
Email:pradeepkumar@nitdelhi.ac.in Designation:Senior Technician Qualification:B.Tech-IT Specialization: |
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Mr. Ankur Singh |
Email:ankurksingh@nitdelhi.ac.in Designation: Technician Qualification: Intermediate Specialization: |
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Ms. Anju Bhakar |
Email: anjubhakar@nitdelhi.ac.in Designation: Junior Assistant (Outsourced) Qualification: MCA Specialization: |
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Mr. Ranjeet Yadav |
Email: ranjeetyadav11@nitdelhi.ac.in Phone No: 011-33861151 Designation: Office Attendant Qualification: Graduation (B.Lib.I.Sc.) Specialization: Library and Information Science |
RESEARCH AND CONSULTANCY
LABORATORIES
- Lab No. 03 Computer Programming -1
- Lab No. 04 Ubiquitous Computing Lab
- Lab No- 09 Artificial Intelligence & Data Science Lab
- Lab No. 10 Computer Networks & Architecture Lab
- Lab No. 11 Information Security And Software Engineering Lab
- Lab No. 12 Intelligent Systems Lab
- Lab No. 13 Data Analytics and Vision for Smart Environments Lab (DAViSE)
- Lab No. 14 Visual Computing And Robotics Lab (VCR)
- Lab No. 17 Programming Lab-2
- Lab No. 102 Ai Research Lab
- Lab No. 103 Complex System Lab