Department of Computer Science & Engineering

Department of Computer Science & Engineering

Aim of the department is to contribute towards the advancement of Computational Technologies and provide industry with skilled resources in engineering and other fields requiring computing skills. It strives to impart high quality technical education in theory, design, development and application of Computer Systems and Information Processing techniques. We also have a collaboration with IBM for joint teaching and certification in niche areas of IT such as Artificial Intelligence & Machine Learning, Dev Ops and Data Science.

Exposure is given to the students in various fields - from Microsoft valuable licensing subscription to Visual Studio 2012, Dos Box, GCC, Turbo C along with MSDN academic alliance. Students have access to well-furnished laboratories with modern & advanced infrastructure and a wide range of licensed software (such as MySQL 2012 express edition, Tally-9, Turbo C++, JDK, Visual Studio Professional 2012, WAMP-2.5, Cisco packet tracer v6.0.1) that provide a distributed computing environment.

These laboratories are set in a Unix environment with different operating systems viz. Centos, and Fedora (by Red Hat), IBM Rack Mounted servers, and state-of- the-art hardware.

Students are guided by competent faculty involved in high-quality research in the field of Database and Information Systems, Programming Languages, Computer Networks and Distributed Systems, Algorithms, Artificial Intelligence, Software Engineering etc.

Major laboratories in the department

Programs

B.Tech. (Hons.) CSE

Programme Level

Undergraduate

Duration

4 Years

Artificial Intelligence & Machine Learning, Data Science & Machine Learning, Cyber Security
Get Details about this program
After the completion of B.Tech. CSE program, you will be able to:
  1. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. Comprehend and apply technology, systems, techniques, resources, and modern engineering and IT tools.
  3. Identify and analyze broadly-defined engineering technology problems and conclude using analytical tools appropriate to the area of specialization.
  4. Design technology solutions including system, components or processes with due consideration for safety, public health, society, culture and environment.
  5. Conduct investigation by locating, searching, and selecting relevant data from databases, codes, and text design and experiments to provide valid conclusions.
  6. Design documentation, comprehend and write effective reports, make presentations, receive and articulate instruction.
  7. Be an effective contributor as an individual, team member or leader in diverse technical teams.
  8. Understand and commit to professional ethics, responsibilities and norms of engineering technology practice.

Employment Opportunities

  1. Software Developer
  2. Computer Network Architect
  3. Computer Systems Analyst
  4. Database Administrator
  5. Information Security Analyst
  6. Information Systems Manager
After the completion of BCA program, you will be able to:
  1. Build domain expertise and apply knowledge of mathematics and computing appropriate to the discipline.
  2. Comprehend and apply contemporary techniques, skills, resources, and IT tools necessary for computing practices.
  3. Identify and analyze computing problems and outline the computing requirements appropriate to its solution.
  4. Design computing solutions for sustainable development and with due consideration for society, culture and environment.
  5. Understand Cyber regulations and commit to professional ethics, responsibilities and norms of computing practices.
  6. Able to articulate and effectively communicate with the computing community.

Employment Opportunities

  1. Software Developer
  2. Web Developer
  3. Mobile App Developer
  4. Computer Programmer
  5. Computer Operator
  6. Computer Application Tutor
  7. Senior Application Support Analyst
B.Sc. (Hons.) Data Science program will enable you to:
  1. Gain proficiency to comprehend and apply methodologies as well as use intricate mathematical & statistical models to tackle real-world problems in various disciplines.
  2. Understand various statistical software packages to conduct data analysis and draw actionable conclusions from computer output.
  3. Apply data science in business, finance, management, marketing and beyond.

Employment Opportunities

  1. Data scientist
  2. Analyst
  3. Data modeler
  4. Business intelligence developer
  5. Infrastructure engineer
  6. Big data engineer
  7. Data architect
  8. Enterprise architect
After the completion of MCA program, you will be able to:
  1. Gain deep understanding of computing fundamentals and know-how of evolving / emerging fields in computer Science.
  2. Build computing specialization and domain knowledge of appropriate computing models.
  3. Understand, design and develop scalable computing solutions for domain/ industry specific complex problems.
  4. Analyze, interpret, process the data and conduct investigation & experiments to provide valid conclusions.
  5. Adapt and apply contemporary computing tools and techniques to solve real life problems.
  6. Carry out research to provide solutions for complex computing problems.
  7. Create and add value for the advancement of an individual and society at large.
  8. Design documentation, comprehend and write effective reports, make presentations, receive and articulate instruction.
  9. Understand cyber regulations and commit to professional ethics, responsibilities and norms of ethical computing practice.
  10. Build effective computing skills, professional competence and leadership to efficiently manage projects for multidisciplinary environments.

Employment Opportunities

  1. Application Developer
  2. Systems Analyst
  3. Cloud Architect
  4. Web Designer/ Developer
  5. Software Developer or Software Programmer
  6. Hardware Engineer
  7. Data Scientist
  8. Database Engineer
  9. Business Analyst
  10. Technical Writer
  11. IT Architect
  12. Software Consultant
  13. Social Media Manager
  14. Ethical Hacker
  15. Quality Assurance Analyst
  16. Project Manager
   Admissions Form         

Admission Open For 2025

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Professor & Dean

Prof (Dr) Pramod Kumar

Qualification: Ph.D. (Computer Science), M. Tech. (CSE)

Teaching & Research Experience: 25 years

Industrial Experience: 01 years

Publication: Paper Published-80

Patents: 107

Special Interest: Internet of Things, AI & Machine Learning

Professor

Mr Harvinder Malhotra

Academic Qualifications: Mr. Malhotra holds MS Computer and Information Science degree from Syracuse University Newyork, and a Bachelor of Applied Science (Computer Science) degree from Punjab University.

Professional Background: Mr. Malhotra has over 25 years of experience in the IT industry, working with leading global companies such as Microsoft, Google, Facebook UHG and Pfizer. He has led large-scale digital transformation projects, delivered innovative solutions, and mentored teams across various domains and geographies.

Research Interests: Mr. Malhotra is passionate about exploring the intersection of technology, business, and society. He has published several papers and articles on topics such as artificial intelligence, blockchain, cloud computing, cybersecurity, and social media. He is also a frequent speaker at industry events and academic forums.

Teaching Philosophy: Mr. Malhotra believes in creating a stimulating and interactive learning environment for his students, where they can apply their theoretical knowledge to real-world problems and scenarios. He aims to equip his students with the skills and mindset to become successful leaders and innovators in the digital era.

Professor

Dr D S Rao

Qualification: Ph.D. (Computer Science), M.Sc. (Computer Science)

Teaching & Research Experience: 13 years

Industrial Experience: 10 years

Publication: 25

Ph.D. Supervised: 05

Sponsored Research Project completed/Ongoing: 02 completed

Special Interest: Software Engineering, Cloud Computing

Membership: IEEE

Awards: Indian Achievers Award

Associate Professor
Dr Deepak Srivastava

Qualification: Ph.D. (CSE), M.Tech (CSE), B.Tech (IT),

Teaching & Research Experience: 11 years

Publication: 27 (Paper Publications), 1 (Book Published)

Patents: 14

Area of Interest: Data Science, Cloud Computing

Award: Award from Ministry of Education and AICTE exceptional contribution as Primary Evaluator in Toycathon, 2021.

Associate Professor
Dr Ashutosh Bhatt

Qualification: Ph.D. (CSE), M.Tech (CSE), B.Tech (IT)

Teaching & Research Experience: 16 years

Publication: 30+ Research Paper in SCI/SCOPUS/UGC Care, 1 Scopus Edited Book, 6 Scopus Book chapter

Patents: 5

Area of Interest: Cloud Computing, Data Structure, Python

Awards: Teacher of the Year 2020 award by Divya Himgiri.

Associate Professor
Dr Vibhor Sharma

Qualification: Ph.D (CSE), M.Tech. (CSE), B.Tech. (CSE),Diploma (Information Technology),

Teaching & Research Experience: 11 years

Publication: 35

Area of Interest: IoT, Data Mining.

Awards: Silver: Medalist in Post-Graduation.

Assistant Professor
Dr Pooja Baloni

Qualification: Ph.D., M.Tech, B.Tech (CSE)

Teaching & Research Experience: 08 years

Publication: 30 Paper Publication , 2 Book

Area of Interest: Networks and Machine Learning and Data Mining

Awards: Best Young Researcher Award: Global Education and Corporate Leadership (GECL -2022) Awards, 5th International Annual Award Summit by LWT India.

Assistant Professor
Dr Anupama Mishra

Qualification: Ph.D. (Computer Science), M.Tech (CSE), MCA, B.Sc. (PCM)

Teaching & Research Experience: 14 years

Publication: 12 Journals, 16 Conferences, 2 Book Chapters

Patent: 1

Area of Interest: Cyber Security, Network

Membership: IEEE, ACM, Life Member ISTE, IEEECTSoc (IEEE Consumer Technical Body)

Awards: Best review award by the journal ICT Express published by Elsevier and Korean Institute of Communication and Information Sciences (KICS), 2022 * Best Paper award in an International Conference on Cyber Security, Privacy and Networking (ICSPN 2021)

Assistant Professor

Mr Satyendra Singh Rawat

Qualification: Ph.D (Pursuing), M.Tech. (CSE), B.E. (CSE)

Teaching& Research Experience: 17.5 years

Publication: 10

Area of Interest: AI, Machine Learning, Deep Learning, Cloud Computing

Award: NPTEL Certified in courses: Machine Learning, DeepLearning, Cloud Computing (topper in top 2% Category).

Assistant Professor

Mr Gaurav Sharma

Qualification: Ph.D., M.Tech, B.Tech

Teaching & Research Experience: 15 years

Publication: 4 Journal, 4 Conference

Area of Interest: Deep Neural Networks, Generative Adversarial Networks, Large Language Models , Web Technologies ,E-Commerce , Scripting Languages, Computer Networks, C# Programming, PHP, Intrusion Detection, Image and Video Processing, Search Engine Optimization, Web Crawling and Web Scraping, Data Communication and Computer Networks , Design Thinking

Assistant Professor

Mr Gaurav Aggarwal

Qualification: Ph.D. (Pursuing), M.Tech, B.Tech

Teaching& Research Experience: 17 years

Area of Interest: Programming Languages (C, JAVA, C#.Net, Python), Machine Learning(ANN, CNN, DNN)

Publication: 10

Assistant Professor

Mr Sanjay Kumar

Qualification: PhD (CS)-Pursuing, M. Tech. (CS), B.Tech. (CSE), NET 2024 -Qualified

Teaching &Research Experience: 7 Years

Area of Interest: Cloud computing, Virtualization, Data Centre, ITSecurity, Web Technology, Data Science, AI/ML, CProgramming

Publication: 05

Awards: Best Executive Awarded by BHEL Haridwar in the year 2016-17. IMPRESS- AWARD by BHEL Hyderabad in the year 2011 with IP (Intellectual Property) Score: 545.

Assistant Professor

Ms Princy Tyagi

Qualification: B.TECH (I.T) , M.TECH (CSE) , Ph.D (Pursuing)

Teaching & Research Experience: 10 Years

Patent: 4 Years

Area of Interest: Ad-Hoc Networks &MANET, Machine Learning & Artificial Intelligence ,IoT & Wireless Sensor Networks

Publication: 12 Paper , 3 Book Chapter

Assistant Professor

Ms Vaishali Gupta

Qualification: B.E( CSE) , M.E. (CSE)

Teaching &Research Experience: 7.5 Years

Publication: 3

Area of Interest: Coding, Database Management System, Networks, AI.

Assistant Professor

Ms Shivani Sharma

Qualification: M.Tech (CSE), B.Tech (IT)

Teaching & Research Experience: 06 years

Publication: 2

Area of Interest: Data Science, Machine Learning.

Lecturer

Mr Rachit Lakhera

Qualification: MCA

Teaching & Research Experience: 12 years

Area of Interest: Computer network ,Computer Architecture ,Operatingsystem, software engineering

Assistant Professor
Dr Suman Pant

Qualification: Ph.D. (Computer Science), M.Tech (IT)

Teaching & Research Experience: 14 years

Publication: 12

Patents: 5

Area of Interest: Fractals, Database, Data Structure.

Assistant Professor
Sanjeev Gupta

Qualification: Ph.D. (pursuing), M.Tech.(Computer Science), B.Tech.(Information Technology)

Teaching & Research Experience: 19.5 Years

Publication: 12

Area of Interest: Machine Learning, Deep Learning,Data Mining, Nature Inspired

Membership: STRA, IAENG

Awards: Reviewer of many international conferences. Among Top 1% Toppers of Software Testing Certification completed from NPTEL. Appreciation award at many colleges level committees.

Assistant Professor
Shivani Pant

Qualification: B.E(CSE), M.tech(CSE), Ph.D (Pursuing)

Teaching & Research Experience: 5 Years plus

Publication: 10

Area of Interest: Database Management System , Machine Learning, Computer Network

Assistant Professor

Ms Shefali Khatri

Qualification: B.Tech (IT), M.Tech (CSE), PhD (CSE, Pursuing)

Teaching&Research Experience: 7 Years

Publication: 4 Papers and 1 Book

Patents:1

Area of Interest: Machine Learning, Deep Learning, Security, Healthcare,Data Structure

Awards: Best Faculty by Uttaranchal University.

Assistant Professor

Mr Kamalpreet Singh

Qualification: Ph.D. (Pursuing), Master of Information Technology (AI, University of Melbourne, 2021), Master of Engineering (Information Security, PEC Chandigarh, 2013), B.Tech (Computer Science & Engineering, GNDEC Ludhiana, 2011)

Designation: Assistant Professor

Teaching Since: 2013

Research Experience: Publications and project supervision since 2018; guiding student research in AI, Data Science, Cybersecurity.

Industrial Experience: Data Engineer / Data Analyst, HCF Insurance, Sydney (2022–2023); Associate Data Consultant, Servian, Melbourne (2022); Data Research Intern, MDAP, University of Melbourne (2021)

Publications

1. Rumor Detection on Social Media Using DL, IJIT, 2020

2. Smart Parking System Using IoT, JETIR, 2019

3. Enhancing Cloud Security via ML Algorithms, IJCA, 2018

Sponsored Research Project: Completed/Ongoing: None

Special Interest: AI for Social Good, Applied Machine Learning, Cybersecurity, Smart City Analytics, NLP

Awards: UGC-NET (2015), Multiple GATE qualifications (2010–2017), NPTEL Gold Medal in Python (2019)

Assistant Professor

Mr Radhe Shankar

Qualification: B.E, M.Tech

Teaching Since: August 2024

 

International Endowed Chair Professor

Prof Rakesh Kumar

Prof Rakesh Kumar is the Founder and President of the Breast Cancer in Young Women Foundation (USA), dedicated to vaddressing the distinct issues affecting young women with breast cancer. He also serves as the International Endowed Chair Professor at the Cancer Research Institute of the Himalayan Institute of Medical Sciences. Additionally, he holds adjunct professorships at Rutgers New Jersey Medical School and Virginia Commonwealth University.

Dr Kumar earned his Ph.D. from the All India Institute of Medical Sciences in 1984 and began his research career at Memorial Sloan Kettering Cancer Center in January 1986. From 1988 to 2017, he held various academic and leadership positions —including faculty member, tenured professor, distinguished professor, endowed chair, department chair, and research leader—at esteemed institutions such as Memorial Sloan Kettering Cancer Center in New York and the University of Texas MD Anderson Cancer Center in Houston. From 2017 to 2022, he served as the National Chair for Cancer Research for the Government of India and as a distinguished professor, continuing his innovative work in breast cancer research.

With nearly 40 years of research and professional experience, Dr. Kumar has made conceptual contributions to the field of cancer research (h-index 108, citations >50,000). He has authored over 325 peer-reviewed publications, edited or co-edited nine books, and delivered 290 invited lectures worldwide. His work has been featured on the covers of 18 major cancer journals and has been highlighted in institutional research reports of the MD Anderson Cancer Center.

A passionate educator and mentor, Dr. Kumar has guided 67 trainees throughout his career. He serves on the editorial boards of multiple leading cancer journals and has served on the editorial boards of 21 top cancer journals. His global reputation is further demonstrated by his participation in about 100 peer-review panels for cancer research funding in the US and internationally over the past 28 years.

Dr. Kumar's innovative research has earned him numerous prestigious honors, including the Hinkle Society Faculty Award at Penn State University (1994), the Dalla/Fort Worth Living Legend Faculty Achievement Award in Basic Sciences (2004), the Ranbaxy Research Award (2006), and the Lifetime Achievement Award from the American Association of Indian Scientists in Cancer Research (2013), among others. Dr. Kumar's pioneering research continues to have a profound influence on the fields of oncology and breast cancer, opening up new opportunities for biomedical scientists and trainees worldwide.