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PG Computer Engineering

Established in : 2008

Department Strength

The Department of Computer Engineering strives to be at the forefront of innovation and technical excellence, preparing students for dynamic careers in the ever-evolving field of technology. Through a blend of rigorous academic coursework, cutting-edge research, and hands-on experience, the department aims to develop proficient engineers equipped with the knowledge and skills required to solve complex real-world problems. 

Our mission is to foster an environment that encourages creativity, critical thinking, and collaboration, while ensuring that students are well-versed in the fundamentals of computer science, software development, and emerging technologies such as artificial intelligence, machine learning, Internet of Things,  and cybersecurity.

The department is equipped with compute intensive laboratories. We have signed MoUs with GROK, Cloud Counselage, Cerebranium, University 3.0, Value 3 advisory for internship and collaborative projects. By emphasizing both theoretical and practical learning, we aim to nurture engineers who can adapt to the fast-paced advancements in technology and contribute meaningfully to society. To promote the research environment, IEEE library subscription, and Turnitin for plagiarism checks which helps the students and faculties to present and publish papers in renowned National and International Conference and Scopus/SCI/UGC care indexed journals. 

With a strong focus on industry collaboration, research excellence, and ethical leadership, the Computer Engineering Department commits to producing graduates who excel in their technical fields and lead with integrity, innovation, and responsibility.

ABOUT OUR FACULTY

We have well balanced group of young, dynamic, and experienced faculty members with majority of them PhD qualified from reputed Institutes. The faculty members have adequate competency in their respective domains. Many faculties practice innovative pedagogies like Problem-based Learning, Gamification, collaborative learning etc. To bridge the gap between academia and industry we arrange guest lecture sessions where speakers from industries conducted workshops and seminars. Many of the faculty members have a lot of publications at their credit and multiple patents published in their name. The faculty members have the expertise to encourage students to engage in research work. As a result, many students’ project ideas are converted to technical papers and published at the National/International conferences.

faculty sec image cs

Dr. Ravindra Sangle

Associate Professor

Department of Computer Engineering understands that steady and rapid advances in computing technologies shorten the life of tools and techniques prevalent today and also aware of enormous talents and creativity which the students have. We explore their talent by organizing co-curricular activities like Group Discussion, Debate, Extempore, Programming contests, Projects competition etc. Every year we observe lots of achievements by our students in academics, co-curricular and extra-curricular activities.

The primary focus of the Department is to impart technical knowledge to students, pro-mote their problem development & solving skills and innovation of new technologies. The course contents are supported with relevant beyond syllabus activities like Workshops, Seminars, Coding competitions, Quiz competitions, keeping in mind new technological developments and industrial requirements. Our enviable placement record reflects the success story of the department.

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PG approved guides

Research Domain : Software Engineering,Project Management,UI/UX

Research Domain : Internet of Things

Research Domain : Machine Learning, Deep Learning, Data Science, Web technology, Data analytics and Optimization 

Research Domain : Machine Learning, Image Processing, Data Science 

Research Domain : Data Science , Blockchain , Data Analytics, Artificial Intelligence, Machine Learning  

Research Domain : Computer Network, Computer Security, Digital Forensic 

Research Domain : Image Processing, Machine Learning, Deep Learning, Data Science, Geoinformatics, Remote Sensing & Satellite Image Processing 

Research Domain : Database, Algorithm, Data Analytics, Machine Learning 

Research Domain : Cryptography, Security, Project Management.  

Research Domain : Artificial Intelligence, Machine Learning 

Research Domain : Image Processing, Machine vision 

Research Domain : Artificial Intelligence, Machine Learning, Internet of Things, Cyber Security, IRPA  

Research Domain : Image Processing,Machine Learning   

Research Domain : Machine Learning,Data Analytics,Learning Analytics,Data Science 

Research Domain : Machine Learning, Deep Learning, Image Processing, Computer Networks, Data Analytics 

Research Domain : Blockchain Technology, Web Technology 

Research Domain : Image Processing, Machine Learning 

Research Domain : Natural Language Processing, AI/ML 

 

There are two technical committees the Computer Society of India (CSI) VIT chapter and the Computer Engineering Student Association (CESA). Technical activities organized by committees such as TEDx events, coding competitions, technical workshops, and seminars, offer several key advantages for students, faculty, and the institution.  

These activities provide practical learning opportunities beyond classroom lectures. Coding competitions and workshops enable hands-on experience, allowing students to apply their theoretical knowledge to real-world problems. Workshops and seminars introduce new tools, technologies, and concepts that keep students updated with the latest industry trends.  

Events like TEDx foster creative thinking and expose students to innovative ideas across various fields, inspiring them to think outside the box and come up with novel solutions to technical challenges.Seminars and workshops often feature industry experts, providing students with the chance to interact with professionals, ask questions, and make valuable connections that could lead to internships, jobs, or mentorship opportunities.Group activities like hackathons or coding competitions encourage teamwork and collaboration, essential skills in the tech industry.

Technical ACTIVITIES

Students of Department of Computer Engineering at VIT are involved in lot many activities other than their academics. They not only organize events but also participate in the same. Students of the Department of Computer Engineering have organized events such as national conferences (CyberFrat, Protocol 1.0, etc), Flagship events such as Internship Fair,Mini Marvel Project Exhibition. They have also organized TED talk (TEDxVIT) at our campus.

Top notch Laboratories

The department is equipped with compute-intensive laboratories. The Labs are equipped with 64 GB GPU-enabled machines, Windows server 2022 Data Centre 64-bit, OMEN by HP 45L Gaming Desktop GT22-1xxx, 13th Gen Intel (R) Core (TM) i9-13900K (32 CPUs) ~ 3.0 GHz. Using these facility students can perform data-intensive tasks, run complex algorithms, and use advanced programming environments, benefiting from the processing power and memory capacity of high-end machines. With access to high-performance machines, students can develop and test applications, simulate real-time systems, and perform network simulations, leading to better project outcomes. These labs often facilitate collaborative work environments where students and researchers from different fields can work together on projects, enhancing interdisciplinary learning and creativity. 

To be recognized as a Centre of Excellence in the field of Computer Engineering where learners are nurtured in scholarly environment to evolve into competent Computer Engineering professionals to benefit society

Evolve a curriculum which emphasizes on strong engineering fundamentals with the flexibility to choose advanced courses of interest and gain exposure to tools and techniques in Computer Engineering. 

Encourage a teaching-learning process in which highly competent faculty share a symbiotic association with the institutes of repute. 

Facilitate creation and dissemination of knowledge through a digitally-enabled learning environment.

Develop academic and infrastructural facilities with modern equipment and other learning resources and encourage reciprocal sharing with other institutes through networking.

Establish a centre of excellence to enhance academia – industry partnership and work on collaborative projects.

  • To enable the pursuit of knowledge in the field of Computer Engineering and contribute to the profession and employability of the students.

  • To engage in research, generate the employment through entrepreneurship and work effectively in multidisciplinary environment.

  • To understand the human, social, ethical and environmental context of their profession and contribute positively to the needs of individuals and society at large.

  • Computer Engineering Programme must demonstrate that graduate understands concepts of programming languages, discrete mathematics, algorithm analysis, data base systems, computer networks, microprocessors, and software engineering principles to analyse and design solutions for real world problems.

  • Computer Engineering Programme must demonstrate that, graduate has the capability to comprehend technological advancement in the usage of modern tools to develop systems considering professional ethics, environmental, health, safety, cultural and societal issues.

  • Computer engineering Programme must demonstrate that graduate can have adaptability to new technologies in multidisciplinary fields and communicate effectively as an individual or in a team while managing the projects.

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and engineering specialization to the solution of complex engineering problems.

Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences

Design/development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate considerations for the public health and safety, and the cultural, societal, and environmental considerations

Conduct Investigations of Complex Problems: 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

Modern Tool Usage: 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

The engineer and society: 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

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice

Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

Communication: 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

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 in multidisciplinary environments

Life-long Learning: Recognize the need for, and have the preparation and ability to engage in the independent and life-long learning in the broadest context of technological change

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