School of Computational Intelligence

Overview

School of Computational Intelligence

The School of Computational Intelligence at Joy University recognizes that the traditional focus of Computational Intelligence (CI) on theory and systems (database, computer hardware, and operating systems) is evolving. The emergence of Edge Computing, Cloud Computing, Cybersecurity, Artificial Intelligence, and Big Data is transforming the discipline, making it crucial in addressing critical real-world challenges. These challenges span diverse areas, including healthcare, security, sustainability, and socio-economic development. The B.Tech program in Computer Science and Engineering prepares students to address these inherently multidisciplinary problems. This program enhances Joy University's role and contribution in providing innovative solutions to global challenges and positions the university as a leading source of technological expertise for a self-reliant India.

Programmes Offered

B.Tech. - INTEL, NEC & Edulateral Foundation
  • CSE (Artificial Intelligence & IoT)
  • CSE (Artificial Intelligence & Machine Learning)
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B.Tech.
  • CSE (Artificial Intelligence & Data Science)
  • CSE (Artificial Intelligence & IoT)
  • CSE (Artificial Intelligence & Machine Learning)
  • CSE (Artificial Intelligence & Robotics)
  • CSE (Cyber Security)
  • Computer Science & Engineering
  • ECE (Artificial Intelligence & Machine Learning)
  • Information & Communication Technology
  • Mathematics & Computing
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B.C.A. - FACE Prep
  • Artificial Intelligence
  • Data Science
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B.C.A.
  • Artificial Intelligence
  • Cyber Security
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Programmes Structure & Eligibility

DEPARTMENT OF COMPUTING & INFORMATION SYSTEMS
B.Tech. Duration Eligibility
CSE (Artificial Intelligence & Data Science) 4 Years
  • HSE / CBSE / ICSE / CIE +2 with Maths, Physics, Chemistry and English as mandatory subjects with minimum 60% in PCM aggregate marks and minimum 50% in every subject.
  • Candidates scoring JEE mains >80 percentile are eligible for direct offer.
  • Valid Score of JOYAT
CSE (Artificial Intelligence & IoT) 4 Years
CSE (Artificial Intelligence & Machine Learning) 4 Years
CSE (Artificial Intelligence & Robotics) 4 Years
CSE (Cyber Security) 4 Years
Computer Science & Engineering 4 Years
ECE (Artificial Intelligence & Machine Learning) 4 Years
Information & Communication Technology 4 Years
Mathematics & Computing 4 Years
B.Tech. - Intel, NEC & Edulateral Foundation Duration Eligibility
CSE (Artificial Intelligence & IoT) 4 Years
  • HSE / CBSE / ICSE / CIE +2 with Maths, Physics, Chemistry and English as mandatory subjects with minimum 60% in PCM aggregate marks and minimum 50% in every subject.
  • Candidates scoring JEE mains >80 percentile are eligible for direct offer.
  • Valid Score of JOYAT
CSE (Artificial Intelligence & Machine Learning) 4 Years
B.C.A. - FACE Prep Duration Eligibility
Artificial Intelligence 3 Years
  • HSE / CBSE / ICSE / CIE +2 with English and Mathematics as compulsory subjects and minimum 60% aggregate marks and minimum 50% in every subject.
  • Valid Score of JOYAT
Data Analytics 3 Years
B.C.A.  Duration Eligibility
Artificial Intelligence 3 Years
  • HSE / CBSE / ICSE / CIE +2 with English and Mathematics as compulsory subjects and minimum 60% aggregate marks and minimum 50% in every subject.
  • Valid Score of JOYAT
Cyber Security 3 Years

Learning Outcomes

  • Abstract out computational models based on mathematical rigor.
  • Critically analyse and appreciate emerging and applied fields of computer science owing to deeper understanding and strong foundations in theoretical computer science.
  • Develop robust, secure, and efficient software systems that would involve software engineering, data structures, and algorithm design paradigms.
  • Apply different concepts including digital design, computer architecture, operating systems, databases, networking, and applications for building solutions for real-world problems.
  • Design and implement smart, intelligent, and user-friendly interfaces for computer applications.
  • Analyse, design, develop and deploy computer-based systems in collaboration with domain experts for meeting societal needs in areas such as healthcare, safety, environment, law enforcement,transportation, etc., by exploiting tools and techniques of Big data, AI and project management.
  • Become proficient in some of the specialized areas such as Computer Vision, Augmented Reality, Internet of Things, Natural Language Understanding, and Intelligent Communication.
  • Communicate effectively by comprehending, documenting, making effective presentations and exchanging clear instructions.

Expected Graduate Attributes

  • Apply appropriate knowledge in Computer Science and Engineering to identify, formulate, analyze, and solve complex engineering problems in order to reach substantive conclusions.
  • Self-learn and engage in use of advanced computing tools.
  • Develop sustainable computing solutions in broader economic, societal and environmental contexts.
  • Think critically, creatively and analytically as a computer scientist, whilst being able to work effectively, independently and collaboratively as part of a team in research, technology development and entrepreneurial ventures.
  • Apply evolving ethics and privacy laws across various domains and territories.
  • Effectively communicate engineering concepts and ideas to peers in written or oral forms.
  • Be motivated to engage in independent and life-long learning in the broadest context of evolving technological challenges.

New Targeted Skill Sets

  • Designing user-centric human-machine interfaces
  • Designing end-to-end socio-digital reality systems
  • Developing sustainable computing solutions
  • Building secure, intelligent, and trustable systems
  • Designing and synthesizing digital systems for solving industrial problems

Philosophy

The objective of the B.Tech. programme in Computer Science and Engineering (CSE) at Joy University is to equip students to undertake careers involving challenges of working on real-world problems, while innovating with their core competency in computer science. The curriculum gives due importance to the foundational aspects of computer science, as well as develops in students the necessary engineering skills for addressing the emerging technological challenges. The program offers flexibility in choosing elective courses for widening the understanding of emerging concepts and processes in different domains. Students can opt for specializations which provide a coherent and increasingly sophisticated understanding so as to enable them to pursue their preferred career opportunities. The program will produce a well prepared and well-motivated workforce to undertake careers in research and industry involving innovation, knowledge creation, engineering, and entrepreneurship.

Objectives

The objectives of the School of Computational Intelligence in our university typically revolves around education, research, innovation and thereby societal impact. The list of objectives include:

  • Providing students with a solid foundation in computer science theories, principles and applications and advancing the frontiers of knowledge.
  • Deliver a world-class education that builds a strong foundation in computer science theory and applications in areas such as artificial intelligence, quantum computing, robotics, cryptography and data science.
  • Integrate interdisciplinary approaches combining computer science with various fields to address real world challenges.
  • Foster curiosity and creativity, encouraging students to push the boundaries of what’s possible.
  • Lead groundbreaking research to solve global challenges in energy, healthcare, education and sustainability.
  • Develop innovative solutions and tools that contribute to scientific and industrial advancements.
  • Enhance soft skills, teamwork, and leadership qualities for professional growth.
  • Engage in community outreach and initiatives to bridge the digital divide.

Faculty & Staff

Name Designation Email
Prof. Dr. Chithra D. Gracia, M.E., Ph.D Professor & Dean chithra@joyuniversity.edu.in
Prof. Dr. Ayappasamy. K, M.Tech., Ph.D Associate Professor ayappasamy.k@joyuniversity.edu.in
Prof. Dr. Sanjith S Ph.D. Associate Professor sanjith@joyuniversity.edu.in
Prof. Dr. Kala S. Nathan Ph.D. Associate Professor kalasnathan@joyuniversity.edu.in
Prof. Dr. A. Alphonse John Kenneth Ph.D. Associate Professor johnkenneth.soci@joyuniversity.edu.in
Prof. Dr. Shyju Wilson, M.Tech., Ph.D Assistant Professor shyju@joyuniversity.edu.in
Prof. Dr. T. Anitha, MCA, M.Phil, Ph.D Assistant Professor anitha@joyuniversity.edu.in
Prof. Dr. P Deepavathi, M.Tech, PhD Assistant Professor deepavathi@joyuniversity.edu.in
Prof. Dr. Arun Balaji P, M.E., MBA, Ph.D Assistant Professor arunbalaji@joyuniversity.edu.in
Prof. Dr. Preethi, M.E, Ph.D, Assistant Professor preethi.c@joyuniversity.edu.in
Prof. Dr. P. K. Manoj Kumar M. Sc, M. Phil, Ph.D Assistant Professor pkmanojkumar@joyuniversity.edu.in
Prof. Dr. Chockalingam B.Tech, M.Tech Assistant Professor chocakalingam.a@joyuniversity.edu.in
Prof. Dr. Nishi S Das Ph.D. Assistant Professor nishi.s.das@joyuniversity.edu.in
Prof. Rahul M.Tech Assistant Professor rahul@joyuniversity.edu.in
Prof. Dr. Gopi Kannan Ph.D Assistant Professor dr.gopikannan@joyuniversity.edu.in
Prof. Dr. I Sofiya Assistant Professor sofia.soci@joyuniversity.edu.in
Prof. An Belin Felicsona M.E. Assistant Professor afelicsona.soci@joyuniversity.edu.in
Prof. Fernando Sahaya Mary Albeena M.E. Assistant Professor maryalbeena.soci@joyuniversity.edu.in
Prof. Arockia Panimalar S Assistant Professor arockiapanimalar@joyuniversity.edu.in
Jenita Evangelin.J M.E Teaching Assistant jenitaevangeline.soci@joyuniversity.edu.in
K. Ashika Jebalin MCA Teaching Assistant ashikajebaline@joyuniversity.edu.in
Thangaselvi P MCA  Teaching Assistant thangaselvi@joyuniversity.edu.in
Ms. Mary Distiva Princy. J, MCA Teaching Assistant princy@joyuniversity.edu.in
Ms. Ambika S B.Tech, M.E., Teaching Assistant ambika@joyuniversity.edu.in
Mrs. S. Pavitha. M.E Teaching Assistant pavitha.soci@joyuniversity.edu.in
R. Padma Priya MCA Teaching Assistant -
L.Abraham David MCA Teaching Assistant -
Mrs. S. Sreedevi B.Sc Lab Instructor -
Mrs. Sutha R, MCA Office Executive -