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ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

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About Us

Our Vision

To achieve excellent standards of quality education by using the latest tools, nurturing collaborative
culture and disseminating customer-oriented innovations to relevant areas of academia and industry
towards serving the greater cause of society.

Our Mission

The Department of BTECH AIML mission is to produce students with a sound understanding of the
fundamentals of Artificial Intelligence and Machine Learning. The mission is to meet the pressing
demands of the nation, and also to enable students to become leaders in the industry and academia
nationally and internationally.

Programme Educational Objectives

  •  PEO-1 Apply analysis, predictions, optimization, decision making and develop skills in order to
    formulate and solve complex intelligent computing and multidisciplinary problems.
  • PEO-2 Take up higher studies, research & development and other creative efforts in the area of
    Machine Learning.
  •  PEO-3 Use their skills in an ethical & professional manner to raise the satisfaction level of stake
    holders.

Program Specific Outcomes

  • The graduates of the department will attain ability to:
     PSO1: Apply the skills in the areas of Health Care, Education, Agriculture, Intelligent Transport,
    Environment, Smart Systems & in the multi-disciplinary area of Artificial Intelligence and Machine
    Learning.
  • PSO2: Demonstrate engineering practice learned through industry internship to solve live problems in
    various domains and Software applications for problem solving.

Educational Objectives

JNCT offers a four-year under-graduate B.Tech course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.

Scope of Employment

The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. Proficiency in mathematics will thrive, as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, and computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.

Technologies

  • Google
  • Amazon
  • IBM
  • Oracle
  • Daffodil
  • Capgemini
  • Xalt Analytics
  • Facebook
  • Praemineo
  • Virtusa
  • Rudder Analytics
  • Airbus
  • Ques Corp
  • XORIANT
  • Impetus
  • Yash Technologies and many more ….
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Infrastructure

  • Lecture Halls, Class Rooms, Seminar Hall and Departmental Library are key features.
  • 11 LABS on different subjects like CP, Software Engg., DBMS, OOPS, Graphics & Multimedia and Major Project lab.Total No. of Computer Systems in the dept. are 300 approx. All laboratories are equipped with latest CORE 2 DUO Computers, scanners, printers.
  • Internet Facility: Internet Access is made available in all machines in Project Lab and is well secured behind Firewall .The entire College campus is WiFi enabled. Online study materials are available on an e-learning server Course materials available under NPTEL (National Program on Technology Enhanced Learning) by 7 IIT’s & IISc.
  • Department Library: The library has many journals and books available in the department. Allthe major software packages are available for study.
  • Faculty & Supporting Staff Details:Faculty Student Ratio is 1: 11.5. Avg. Academic Experience of faculty is 4 Years. Faculty participates in various activities like Departmental Library, Time Table Scheduling, Project work, Planning & Development – Amenities.
  • Teaching:Learning methodology -Faculty members prepare LESSON PLAN and maintain COURSE FILE for the subjects handled. LCD projectors are actively used both in the classroom and in Laboratory. Feedback from the students is obtained in very semester to make the teaching-learning process effective. Guest lectures are organized for the students by Industry Representatives, Research Scholars and Academicians on topics of current interest
  • Value Added Training: Various value added training programs are organized by Web Makers Mozila Community, CMC Pvt.Ltd. to update students of the latest trends in the field of Computer Science.
  • Co-Curricular Activities & Extra-curricular Activities: The students have participated in Inter College Competitions held at state level and National Level and brought laurels for the college.
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Head of The Department 

09NAME :  Dr. Ayonija Pathre

Head of Department of Artificial Intelligence

*Qualifications:* B.E ,MTECH, Ph.D(CSE)

*Experience:* Teaching – 14 years

Dr. Ayonja Pathre is Head of Department of Artificial Intelligence Machine Learning. She is having total experience of 14 years, she did her B.E. and
MTECH in Computer science engineering from RGPV University, Bhopal. She done
her PhD in Computer science engineering from RTNU, Bhopal. Her areas of
research interests are, Data Science, Big Data and Information Retrieval Systems.
She has published more than 21 research papers in International Journals and
Conferences with indexing in Scopus, Springer, IEEE, and ESCI. She has published
two book on Deep Learning and Cyber Security and published 2 Book chapters.

Head of The Department 

WhatsApp Image 2023 03 02 at 2.27.51 PMNAME : PROF. PANKAJ PANDEY

Head, Department of Computer Science and Engineering

*Qualifications:* PhD (Pursuing), M.Tech, BE

*Experience:* Teaching – 17 years

*Areas of Interest in Teaching:*
Artificial Intelligence, Machine Learning, Image Processing, Data Science, Cloud Computing

*Area of Expertise:*
Artificial Intelligence, Cyber Security, Machine Learning, Data Science, Network Security

*Patents:*
1. Australian Patent Granted with Patent Number: 2021105935 titled as “System for determining physiological condition of driver in autonomous driving and alarming the driver using machine learning.”
2. Australian Patent filed Granted with Application Number: 2021104849 titled as “A Computer implemented method and system for detecting human touch using body mounted camera to minimize covid spread using machine learning.”
3. Indian Patent published with Application Number: 202121034020 titled as “Autonomous Vehicle Driving and Traffic Sign Identification based on DEEP Learning Models.”
4. Indian Patent published with Application Number: 202121041195 titled as “Gesture and Posture Independent Face Recognition using Machine Learning Model.”

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Student Achievement

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FACULTY ACHIEVEMENTS

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