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.

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Vision and Mission

The vision of the department has been laid on the principles of founder H.H. Swami Rama who initiand the Idea of Holistic health that propagated the importance of both body and mind in their nuanced dimensions.

"to bring out research based therapeutic protocols centered on holistic or combined approach of psychological services and extend its reach to the to the common man in every strata of the society."
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Out-patient and Special Services

The Out-patient services are provided to all the patients who approach for psychological and mental health problems from 8:30 a.m. to 4:30 p.m. from Monday to saturday. A systematic and smooth operation of OPD as well as follow ups are carried out by our experienced and well trained faculty of clinical psychology in their respective separate rooms in order to provide a proper client confidentiality and comfortable space for the patient.

Other than the offline OPD the department also provides psychological consultation on tele-consultation platform HimSanjeevani.

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Various special psychological therapies and clinics operated by us include:

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 Open for 2025

Admission Open For 2025

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Professor & Principal
Prof. (Dr.) Pramod Kumar

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

Teaching & Research Experience: 24 years

Industrial Experience: 01 years

Publication: Paper Published-71, Patent Published-97

Ph.D. Supervised: 06

Sponsored Research Project completed/Ongoing: NA

Special Interest: Internet of Things, AI & Machine Learning

Members: IEEE, ACM, IETE

Awards: NA

Professor
Mr. Harvinder Malhotra

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.

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.

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

Members: IEEE

Awards: Indian Achievers Award

Associate Professor
Dr. Deepak Srivastava

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

Teaching Experience: 11 years

Publication: 16 (Paper Publications), 1 (Book Published), 5 (Patent)

Special Interest: Data Science, Cloud Computing

Associate Professor
Dr. Ashutosh Bhatt

Qualification: B.Tech (IT), M.Tech (CSE), Ph.D (CSE), GATE 2007 Qualified

Teaching Experience: 14 years

Publication: 20

Special Interest: Cloud Computing, Machine learning, Data Structure & Algorithm

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

Assistant Professor
Dr. Vibhor Sharma

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

Teaching Experience: 9 years

Publication: 26

Special 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: 06 years

Industrial Experience: N.A

Publication: 16 (2SCI, 03 Journal, 07 Conference, 04 Chapters) 01 Book (Title: Cloud Computing-An Endless Approach, First Author’s Name: Dr. Pooja Joshi “Iterative International Publishers IIP)

Ph.D. Supervised: NA

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Networks and Machine Learning and Data Mining

Members: N.A

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)

Teaching Experience: 14 years

Industrial Experience: N.A

Publication: 12 Journals, 16 Conferences, 2 Book Chapters, 1 Patent

Special Interest: Cyber Security, Network Security, Machine Learning

Members: 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: B.E. (CSE), M.Tech. (CSE), Ph.D (Pursuing), GATE 2012 qualified

Teaching Experience: 14 years

Publication: 4 (Journals), 1 Conference (IEEE), 3 (NPTEL Certification)

Special Interest: Machine Learning, Cloud Computing, Deep Learning

Assistant Professor
Mr. Gaurav Sharma

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

Teaching Experience: 12 years

Industry Experience: 1 years

Special Interest: Computer Networks, Web Development, SEO, Image Processing, DNN

Assistant Professor
Mr. Gaurav Aggarwal

Qualification: B.Tech (IT), M.Tech (CSE), Gate Qualified (2016, 2017, 2018)

Teaching Experience: 14 years

Special Interest: Data Structure and Algorithms, Java Programming, Operating System

Publication: 6

Assistant Professor
Mr. Sanjay Kumar

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

Teaching Experience: Total: 20 Years (Teaching: 6 Years, Industry: 14 Years)

Special Interest: Cloud Computing, Data Center, Machine Learning, IoT, IT Security

Publication: 04

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 Experience: 9 Years

Special Interest: IOT, Cloud Computing and Cyber Security

Publication: 2 (Journals),10 FDP

Assistant Professor
Ms. Vaishali Gupta

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

Teaching Experience: 5 Years

Special Interest: Coding, Database Management System, Computer Networks, Operating System, Software Engineering.

Publication: 2

Assistant Professor
Ms. Shivani Sharma

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

Teaching & Research Experience: 06 years

Industry Experience: N.A

Publication: N.A

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Data Science, Machine Learning

Members: N.A

Awards: N.A

Lecturer
Mr. Rachit Lakhera

Qualification: MCA

Teaching & Research Experience: 10.5 years

Industry Experience: N.A

Publication: N.A

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Computer Architecture, Computer Network, Software Engineering

Members: N.A

Awards: N.A

Assistant Professor
Dr. Suman Pant

Qualification: MSc(IT),MTech(IT),Ph.D.(Computer Science)

Teaching & Research Experience: 8 years

Industry Experience: 0

Publication: 11 Publications, 3 Patents

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Fractals and DBMS

Members: N.A

Awards: N.A

Assistant Professor
Sanjeev Gupta

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

Teaching & Research Experience: 18+

Industry Experience: 0

Publication: 11, Book Published (1)

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Deep Learning, Machine Learning, Medical Image Processing, Data Mining & Warehousing, Swarm Intelligence

Members: 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

Industry Experience: 0

Publication: 05

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Database Management System, Software Engineering, Computer Network

Members: N.A

Awards: N.A

Assistant Professor
Ms. Shefali Khatri

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

Teaching Experience: 1 August , 2016

Research Experience: 2 Years

Industrial Experience: 0

Publication: 4 Papers and 1 Book

Ph.D. Supervised: N.A

Sponsored Research Project completed/Ongoing: N.A

Special Interest: Machine Learning, Healthcare, Security, Data Structure

Members: N.A

Awards: Awarded as Best Faculty by Uttaranchal University.