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Announcement Admission

Ph.D. in Computer & Science and Engineering

Ph.D. Program Computer Science and Engineering is a challenging one and focus on core and interdisciplinary research areas in Computer Science and Engineering. Research Degree is an essential qualification for teaching and research in higher educational institutions. Research in core computer science areas such as Artificial Intelligence, Machine Learning, Complex algorithms, computational intelligence, security and network protocols, software defined networks etc are the hot core area where industries need solution to their product development and new problems and hence PhD in Computer Engineering is a passport to the research in academia and industries. It also focusses on the research aspects of the hardware implementation, VLSI and Embedded Design, IoT.

The Ph.D. Programme in Computer Science and Engineering involve interdisciplinary research in addition to core areas, including additive manufacturing, Computer Vision, Cyber Physical System, big data analysis, medical Imaging, Natural Language Processing, Robotics Process Automation, Anti-drone, Underwater acoustic communication, Nanotechnology, simulation and modelling, optimization, smart grids, smart city system, environmental engineering, and urban engineering.

The School offers UG, PG and PhD Programmes.

Undergraduate Programmes

  • B.Sc. (Hons)/B.Sc. Computer Science
  • B.Sc. (Hons)/B.Sc. Computer Science (Data Science)
  • B.Sc. (Hons)/B.Sc. Computer Science (Artificial Intelligence and Machine Learning)
  • B.Tech. Computer Science and Engineering
  • B.Tech. Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Undergraduate Programmes ( Proposed New Programmes To be offered from July 2023.) (As per National Education Policy 2020)

  • B.Sc./B.Sc. (Hons) Computer Science with specialization in Cybersecurity -3/4 years
  • B.Sc./B.Sc. (Hons) Computer Science with specialization in Forensic Science -3/ 4 years

Postgraduate Programme

  • M.Sc. Information Technology (Cyber Security)

Postgraduate Research Programme

  • Ph. D. Computer Science and Engineering

Research Areas in & Computer Science and Engineering

  • Software Reliability Engineering
  • Software Quality Assurance
  • Soft Computing and Optimization Algorithms
  • Data Science and Analytics
  • Deep Learning and Convolutional Neural Network
  • Artificial Intelligence and Machine Learning
  • Natural Language Processing and Machine Vision
  • Cyber Security
  • Network Security
  • Cloud Computing and Security
  • Edge and Fog Computing
  • Big Data Computing and Architecture
  • Drug discovery using ML Algorithm
  • Microwave Physics and Material Science
  • Dielectric Characterization
  • Medical Image Processing
  • Embedded System Design
  • Robotics and Automation Process
  • Internet of Things
  • Cyber Physical Systems
  • Medical applications using ML
  • Optimizations Algorithms
  • Wireless Network

Research Supervisors and their & Areas of Interest


S. No. PhD Supervisors Names Areas of Interest
1 Dr. Raju Shanmugam Software Reliability Engineering, Software Quality Assurance, Soft Computing and Optimization Algorithms, Data Science and Analytics, Deep Learning and Convolutional Neural Network, Artificial Intelligence and Machine Learning, Natural Language Processing and Machine Vision, Cryptography and Cyber Security, Network Security, Cloud Computing and Security, Edge and Fog Computing
2 Dr. Avadhesh Kumar Gupta AI and Machine Learning, Deep Learning and Convolutional Neural Network, NLP and Computer Visio & Analytics and Data Insights
3 Dr. Manivel Kandasamy Medical Image Processing, AI & Machine Learning and Deep Learning, Robotics Process Automation and Internet of Things (IoT)
4 Dr. Keyur Patel Internet of Things (IoT), AI and ML, Cyber physical system, ML for medical application, Robotics and Automation
5 Dr. Rizwan Alam E-learning, AI based Healthcare analytics and Computer vision
6 Dr. Kunjan Shah Material Science, Dielectric Characterization and Microwave Physics
7 Dr. Isha Talati Inventory management, Machine learning and deep learning & Optimization Technique
8 Dr. Purti Bilgaiyan Drug discovery using ML Algorithm with AI&Machine Learning, Environmental Science

Research & facilities

The School has equipped with state of the art research facilities such as Robotics Centre, High Performance Computing Lab, Drone Design Centre, AR and VR Centre, Cloud Centre, Electrical and Electronics Lab, 3D Printing Lab, AI and Machine Learning Lab.

Conference & Facilities

Well-equipped, air-conditioned auditorium, multiple seminar halls, conference halls and lecture theatres facilitate the organization of workshops, lectures, conferences regularly in the campus.

Some of them are commonly available for their Research Requirements that includes:

Centre for Robotics and AI
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AI and Machine Learning Laboratory
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AR/VR Laboratory
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3D Printer Laboratory
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Holographic Projection Laboratory
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Electrical Engineering and Hardware Laboratory
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  • Research supervisors
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Dr. Isha Talati

Assistant Professor

Ph.D. in Mathematics, PDEU, Gandhinagar; M.Sc. in Mathematics, Sardar Patel University; B.Sc. in Mathematics, Sardar Patel University
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Dr. Kunjan Nayankumar Shah

Assistant Professor

Ph.D. (Physical Science) from Gujarat University, Ahmedabad ; M.Sc. in Physics
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Dr. Purti Bilgaiyan

Assistant Professor

Ph.D. in Chemistry from School of Chemical Sciences, Indore; M.Sc. in Chemistry from the Devi Ahilya Vishwavidalaya ,Indore
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Dr. Manivel Kandasamy

Professor and Head of Robotics &Automation Division

M.E., Ph. D
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Dr. Raju Shanmugam

Professor and Dean

M.E., Ph. D.
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