Computer Science and Engineering (CSE) is a dynamic and highly sought-after discipline that integrates computer science principles with engineering concepts to design, develop, test, and maintain computer systems, encompassing both hardware and software. CSE empowers students to address real-world challenges using programming, data structures, algorithms, artificial intelligence, machine learning, cybersecurity, and more. From smartphones to satellites, every digital innovation relies on the expertise of computer engineers.
Department of Computer Science and Engineering
Established in 2009 with an annual intake of 120 students, we boast experienced faculty with expertise in academics, research, and industry. Our goal is to develop intellectually sharp, scientifically progressive, globally competent, and dynamic IT professionals who are technically skilled and employable in various industries.
Overview
Key Research Areas
Artificial Intelligence & Machine Learning
- Neural Networks & Deep Learning
- Natural Language Processing
- Reinforcement Learning
- Explainable AI
- AI Ethics & Fairness
Data Science & Big Data Analytics
- Predictive Modeling
- Data Mining
- Statistical Learning
- Data Visualization
- Business Intelligence
Cybersecurity & Information Security
- Cryptography
- Network Security
- Ethical Hacking
- Cyber Forensics
- Secure Software Development
Cloud Computing & Distributed Systems
- Serverless Computing
- Edge Computing
- Virtualization
- Containerization
- Scalability & Fault Tolerance
Internet of Things (IoT)
- Smart Devices and Sensors
- Embedded Systems
- IoT Security
- Smart Cities & Home Automation
Blockchain & Decentralized Systems
- Cryptocurrency Technologies
- Smart Contracts
- Decentralized Applications
- Supply Chain & FinTech
Programme Educational Objectives
Core Competency
Graduates will acquire a strong foundation in mathematical, scientific, and engineering principles to analyze, design, and solve real-world computing problems effectively.
Professional Excellence
Graduates will excel in professional careers or higher studies by applying knowledge of computer science and modern tools across diverse domains in industry, research, and academia.
Innovation and Lifelong Learning
Graduates will engage in continuous learning and innovation to stay abreast of evolving technologies, pursue certifications, and contribute to cutting-edge research or entrepreneurship.
Ethics and Social Responsibility
Graduates will demonstrate ethical behavior, effective communication, teamwork, and awareness of societal, environmental, and legal considerations in a global, multicultural environment.
Leadership and Contribution
Graduates will assume leadership roles and contribute meaningfully to organizational growth and societal betterment through the application of computer science knowledge and skills.
Career Opportunities
Software Developer
Data Scientist
Web Developer
Cybersecurity Analyst
Cloud Engineer
AI/ML Engineer
System Architect
Salient Features
Strong Foundation
Strong foundation in core computing principles with integration of emerging technologies and industry-oriented curriculum.
Modern Infrastructure
State-of-the-art facilities including e-Portal, Wi-Fi, digital library, Cisco Networking Lab, and VMware Lab for hands-on learning.
Industry Collaboration
Strong industry collaboration with Infosys Campus Connect Program and partnerships for internships, placements, and live projects.
Research & Innovation
Focus on innovation and entrepreneurship with opportunities for higher education and research in cutting-edge technology areas.
Vision
To produce competent professionals for a globalized technological society by preparing them for careers in industry and research organizations, with a commitment to serving society.
Mission
- Strengthen core competence in Computer Science and Engineering through analytical learning and industry-institute interactions.
- Provide exposure to cutting-edge tools and technologies to design solutions and conduct investigations.
- Promote innovative, research-based projects in emerging areas of technology convergence.
- Inculcate professional behavior, strong ethical values, leadership abilities, entrepreneurial skills, and a commitment to lifelong learning.
Head of Department
Prof. Vivek Tiwari
Head of Department
M.Tech in Computer Science & Engineering
15+ Years teaching & industrial Experience
20+ Undergraduate Projects
Programming languages: C, C++,Java Python Data Structures and NET
Prof. Vivek Tiwari serves as the Head of the Department of Computer Science & Engineering. He holds a Bachelor of Engineering (B.E.) in Computer Science & Engineering from Jabalpur Engineering College (JEC), Jabalpur. He further strengthened his technical foundation by completing the esteemed Centre for Development of Advanced Computing (C-DAC) course in Pune and earning a Master of Technology (M.Tech) in Computer Science & Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal. Prof. Tiwari brings over eight years of industry experience and five years in academia, offering a unique blend of practical expertise and teaching acumen. Prior to embarking on his academic career, he worked as a Software Developer at the International Advanced Center for Software Development (IACSD), Pune, where he contributed to various high-impact software development projects. His areas of specialization include Image Processing and programming in C, C++, Data Structures, and .NET technologies. Throughout his academic journey, he has guided more than 20 major undergraduate projects and authored four research papers published in reputed national and international journals. Prof. Tiwari's unwavering commitment to teaching and research continues to inspire and shape the next generation of computer science professionals.
Branch Toppers
| Year | Batch | Name of Student | SGPA | CGPA |
|---|---|---|---|---|
| 2014 | I | Surbhi Saraf | 9.13 | 8.72 |
| 2015 | II | Amit Tamrakar | 8.69 | 8.05 |
| 2016 | III | Disha Jain | 9.5 | 8.72 |
| 2017 | IV | Manali Sahu | 8.88 | 8.02 |
| 2018 | V | Akshay Tiwari | 8.63 | 7.63 |
| 2019 | VI | Shivali Shrivastava | 9.25 | 8.56 |
| 2020 | VII | Nikita Jain | 9.63 | 7.95 |
| 2021 | VIII | Poonam Rathore | 9.06 | 8.42 |
| 2022 | IX | Sejal Jain | 8.72 | 8.89 |
| 2023 | X | Raghvendra Lodhi | 8.5 | 8.6 |
| 2024 | XI | Lokendra Yadav | 9.11 | 8.78 |
| 2025 | XII | Vishakha Patel | 8.89 | 8.6 |
