Department of Computer Science & Engineering (AI & ML)

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Vision

To be at the frontier of Artificial Intelligence and Machine learning with a focus on innovation, industry needs and to produce global professionals contributing to society.

Mission

  • Provide a state-of-the-art curriculum and infrastructure to deliver highquality education in Artificial Intelligence and Machine Learning.
  • Promote high-quality research and higher education through strong collaborations between industry and academia.
  • Inculcate professional ethics and encourage sustainable solutions for addressing societal challenges.

Computer Science & Engineering (AI & ML) are the two domains emerged as the driving force of advanced technologies. It introduces automation to every other field and rapidly transforms the way of people work. The career in AI is going to be the most demanding job worldwide. Every industry adopts AI&ML as part of their system and hires more number of experts and students from this field. The lack of skilled professionals is a most significant challenge faced by the industry.

NCET introduces 4-year Computer Science & Engineering (AI & ML) department on the base of computer science and engineering to serve the needs of industry. The program curriculum helps the student to develop AI&ML models to identify patterns, recommend actions and perform tasks. The student specialized from this program are required in robotics, natural language processing, computer vision, cyber security, business intelligence and manufacturing industries. The CSE (AI & ML) department of NCET has well equipped labs and infrastructure facilities to train the students with advanced technologies. The faculty is well-trained, determined and dedicated to ensure the industry required potentials to the students.

NCET has been granted Autonomous status under VTU and the institution is accredited by NAAC with A+ grade.

Programme Education Objectives (PEOs)

  • 1

    Graduates of the program will pursue successful careers in the IT, Artificial Intelligence, and Machine Learning industries.

  • 2

    Graduates will be equipped with the knowledge and skills required to excel in postgraduate education.

  • 3

    Graduates of the program will design and implement computing solutions that address real-world challenges and societal demands.

Programme Outcomes (POs)

P1

Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop the solution of complex engineering problems.

P2

Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

P3

Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

P4

Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

P5

Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

P6

The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

P7

Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

P8

Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

P9

Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

P10

Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

P11

Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Programme Specific Outcomes (PSOs)

  • 1

    Apply the the principles of cognitive computing, artificial intelligence, and machine learning to design and develop intelligent systems in the domain of AI & ML engineering.

  • 2

    Exhibit strong computational knowledge, hands-on proficiency, and innovative thinking in the field of Artificial Intelligence and Machine Learning.

  • 3

    Utilize modern technologies and approaches to effectively solve real-world problems in Machine Learning, Deep Learning, Computer Vision, and NLP

Academic Boards

Board of Studies (BOS)

9 Items
Name Category Designation in Board
Dr. Lohith J J, Ph.D. (NIT Trichy) Chairman Professor & HOD, Dept. of CSE (AI & ML), NCET
Dr. Rashmi P Karachi Member Professor, Dept. of CSE (AI & ML), NCET
Prof. Saravanan S Member Assistant Professor, Dept. of CSE (AI & ML), NCET
Prof. Vijayakala Member Assistant Professor, Dept. of CSE (AI & ML), NCET
Dr. Bharatesh Chakravarthi Invited Expert, Outside University Assistant Research Professor, School of Computing and Augmented Intelligence, Arizona State University, USA
Dr. Chetana Gavankar Expert, Outside University Professor, Dept of Computer Science & Information Systems, BITS Pilani
Dr. Sudarshan Iyengar Expert, Outside University Associate Professor, Dept of Computer Science & Engineering, IIT Ropar
Dr. Raghunandan K R VTU Nominee Associate Professor, Department of Computer Science & Engineering, NMAM Institute of Technology (Nitte), SH1 Karkala, Karnataka
Mr. Rajesh Katta Industry Expert MD of Data & AI Department, Accenture
Course Name Computer Science & Engineering (AI & ML)
Intake 180
Accreditation Status Institution is Accredited by NAAC with A+ Grade
Professional Society Membership IAENG
Professional Activities Student chapter Seminars, workshops and FDPs are conducted regularly
View HOD Profile
Dr. Lohith J J

Dr. Lohith J J

Professor & HOD

M.Tech, Ph.D. (NIT Trichy)

"Welcome to the Computer Science & Engineering (AI & ML) Department! As the head of this dynamic and forward-thinking department, it is my pleasure to extend a warm welcome to all students, faculty, industry partners, and visitors. Our department is dedicated to pushing the boundaries of what is possible with AI and machine learning, transforming both our present and our future. Artificial intelligence and machine learning are not just fields of study but are the catalysts driving innovation across industries. Our department is committed to equipping our students with the knowledge, skills, and ethical grounding necessary to lead in this transformative era. Our curriculum is designed to be rigorous and comprehensive, covering foundational theories, cutting-edge technologies, and real-world applications. We believe in a hands-on, experiential learning approach where students engage in research, industry projects, and interdisciplinary collaborations. Our state-of-the-art laboratories and partnerships with leading tech companies provide an ideal environment for innovation and practical experience. In our department, we also emphasize the importance of ethical considerations in AI and ML. As these technologies increasingly shape our societies, it is crucial to address issues of fairness, accountability and transparency. We are committed to fostering a culture of responsible innovation, where our graduates are prepared to make thoughtful and impactful contributions to the world. To our prospective students, I encourage you to explore the exciting opportunities our department offers. To our current students, faculty and staff, thank you for your continued dedication and hard work. Together, we will continue to advance the field of computer science and engineering (AI & ML), creating technologies that benefit society and improve lives."

View Faculty Document
Dr. Lohith J J

Dr. Lohith J J

Professor & HOD

M.Tech, Ph.D. (NIT Trichy)

Ph.D. from NIT Trichy with 18 years' teaching experience. Blockchain expert with Q2 SCIE publications and 25+ FDPs.

Dr. Rashmi P Karchi

Dr. Rashmi P Karchi

Professor

M.Tech, Ph.D.

20 years' teaching, 10 years' research in AI and ML. 8+ publications; expert in Image Processing and Biometrics.

Dr. Niranjan L

Dr. Niranjan L

Professor

B.E, M.Tech, Ph.D.

Professor with 19 years of academic and industry experience in Embedded Systems, IoT, and AI/ML. Researcher with 61 Scopus-indexed publications and 53 patents in smart automation and intelligent networks.

Prof. Saravanan S

Prof. Saravanan S

Assistant Professor

B.E, M.Tech, (Ph.D.)

15 years' experience with 70+ research publications in CSE. Expert in ML, IoT, Image Processing, and Computer Networks.

Prof. Prathibha B N

Prof. Prathibha B N

Assistant Professor

B.E, M.Tech, (Ph.D.)

Assistant Professor with expertise in Cloud, IoT, and Cybersecurity. Published researcher in top AI and network security domains.

Prof. Vijayakala

Prof. Vijayakala

Assistant Professor

B.E, M.Tech, (Ph.D.)

Driven educator blending academic insight with real-world tech expertise. Focused on AI, ML, and IoT with academic and industry experience.

Prof. Shivalila

Prof. Shivalila

Assistant Professor

B.E, M.Tech.

Assistant Professor with expertise in VLSI and Embedded Systems. Avionics experience at NAL; skilled in 28nm custom IC design.

Prof. Nithya Kalyani A

Prof. Nithya Kalyani A

Assistant Professor

B.E, M.Tech, (Ph.D.)

10+ years' experience in AI, NLP, and Machine Learning. Authored 12 research papers and coached a top ACM-ICPC team.

Prof. Geetha R

Prof. Geetha R

Assistant Professor

BE, M. Tech

Specializes in AI, Machine Learning, and Climate Change Prediction. Authored 20+ papers, holds a patent, and published two books.

Prof. Manjunath K N

Prof. Manjunath K N

Assistant Professor

B.E, M.Tech, (Ph.D.)

Specializes in Cybersecurity, IoT, and Cryptography. Authored multiple papers, guided UG projects, and received best paper award.

Prof. Aakanksha Bedi

Prof. Aakanksha Bedi

Assistant Professor

M.Tech,. Ph.D.

Specializes in smart grids, cybersecurity, and blockchain with publications in leading IEEE, Springer, and Elsevier journals. Serves as Algorand Foundation’s Regional Ambassador for Bengaluru, fostering Web3 adoption and industry–academia collaboration in blockchain.

Guest Lectures & Webinars

Sl. No Resource Person Title / Topic Date Link
1 Dr. Brinda K Varma & Dr. N. Thillaiaarasu Awareness Programme on Spectrum of IPR and Patent Filing 29th July 2024 -

Workshops & Student Activities

Sl. No Resource Person Title / Topic Date Link
1 Department of CSE (AI & ML) Ideathon Event - Let's Pioneer New Solutions 27th July 2024 -
2 Department of CSE (AI & ML) Go Green Social Outreach Activity 2024 -

Research Center

The Department of Computer Science and Engineering (CSE (AI & ML)) is committed to fostering a vibrant research ecosystem, encouraging faculty and students to explore innovative solutions in Artificial Intelligence, Machine Learning, and related emerging technologies.

Research Proposals

Research Proposals - CSE (AI & ML) Department

Information will be updated soon.
General Infrastructure & Connectivity

General Infrastructure & Connectivity

The Department is well equipped with the latest computers with modern multimedia features and licensed software. The institution has always kept its target of providing Student-to-computer ratio of 1:1 during their laboratory exercises.

Computer Labs have been loaded with Microsoft Windows 10 and Ubuntu Operating System.

All the labs are connected with 100MBPS high-speed internet service.

The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the Core Courses.

This lab helps placement cell to conduct online test and Placement training for students during placement drive.

Computer Lab 3

Computer Lab 3

Batch Size: 60
Equipment: Lenovo – I3 processor 3.30 GHz, 4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse, Projector, Software Package – Fedora, Virtual Machine, Python, Java
Technical Staff: Mr. Nabisaheb Arif Gulbarga
Designation: Lab Instructor
Qualification: Diploma in CSE

Computer Lab 4

Computer Lab 4

Batch Size: 60
Equipment: Lenovo – I3 processor 3.30 GHz, 4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse, Projector, Software Package – Auto Cade, MS-Project, Code Block, Node JS
Technical Staff: Mr. Ram Murthy
Designation: Lab Instructor
Qualification: ITI

Computer Lab 5

Computer Lab 5

Batch Size: 60
Equipment: Lenovo & Acer – I3 processor 3.30 GHz, 4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse, Projector, Software Package – Windows, Virtual Machine, Ansys Lab, Java, Solid Edge, Oracle, Fedora, C++
Technical Staff: Mrs. Soumya
Designation: Lab Instructor
Qualification: B.Tech in CSE

Project Lab

Project Lab

Batch Size: 15
Equipment: Acer, Intel core I5, 8GB RAM, 1TB HDD, Projector, Software Package – Windows, Android, C++, Java, Mat Lab, Lab View, VMware
Technical Staff: Mrs. Sunitha
Designation: Lab Instructor
Qualification: B.Tech in CSE

Placement information will be updated soon.