Artificial Intelligence & Machine Learning (AIML) - Al-Azhar College of Engineering & Technology, Thodupuzha

Department of Artificial Intelligence & Machine Learning (AIML)

The Department of Artificial Intelligence and Machine Learning (AIML) at Al Azhar College of Engineering and Technology was established in 2023 and offers a four-year undergraduate degree program with an annual intake of 60 students. The curriculum encompasses key areas such as Foundations of Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Neural Networks, Natural Language Processing, Computer Vision, Big Data Analytics, AI in Healthcare, Robotics and Intelligent Systems, Ethical AI, and Emerging Technologies in Artificial Intelligence. The department boasts excellent infrastructure, including well-equipped computer labs, modern classrooms, and a well-stocked library. With a team of competent and dedicated faculty, the department actively encourages student participation in co-curricular activities alongside academics. Additionally, the department focuses on industry-oriented training, hands-on projects, and research activities to ensure that students gain practical exposure and are well-prepared for professional challenges in the AI-driven world.

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VISION

To emerge as a center of excellence in Artificial Intelligence and Machine Learning by fostering innovation, ethical values, and lifelong learning to create competent professionals capable of solving real-world problems.

MISSION

Impart quality education in the realm of Artificial Intelligence and Machine Learning.
Integrate practical learning, research, and industry-aligned curriculum.
Enable students to become competent, ethical, and innovative engineers.

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Meenu Alex

Head of Department

all faculty

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

The educational objectives for Artificial Intelligence and Machine Learning program are designed to equip graduates with the knowledge and skills required to solve real-world problems, contribute to society through sustainable solutions, and pursue careers in higher education, research, and entrepreneurship. These objectives are as follows:

PEO1

The graduates will apply their knowledge and skills in Artificial Intelligence and Machine Learning to develop effective solutions for real-world challenges across various domains.

PEO2

The graduates will contribute to the society by creating software solutions that are inclusive and environmentally friendly.

PEO3

The graduate will apply the knowledge in the domains of Computer Science, Artificial Intelligence and Machine Learning to pursue research, higher education and entrepreneurial ventures.

PROGRAM OUTCOME (POs)

Engineering Graduates will be able to

PO1: Engineering knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and Electronics and Communication Engineering to the solution of complex engineering problems.

PO2: Problem analysis

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

PO3: Design/development of solutions

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: 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.

PO5: 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

PO6: 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.

PO7: 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.

PO8: Ethics

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

PO9: Individual and team work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: 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.

PO11: 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 and in multidisciplinary environments

PO12 : Life-long Learning

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

PROGRAM SPECIFIC OUTCOME (PSO)

Engineering Graduates will be able to

PSO1

To design, develop and deploy Artificial Intelligence and Machine Learning models to solve complex problems in the domains of healthcare, finance and smart systems.

PSO2

To develop innovative solutions for real world problems using modern
tools, algorithms and technologies in Computer Science.

PSO3

To understand ethical, social and environmental responsibilities and apply AI/ML solutions that are inclusive and sustainable.

Teaching Faculty

Our faculty members are our greatest asset. Through their enthusiasm and their ability to connect easily with the students, they contribute towards the overall professional and personal growth of the students.

Meenu Alex

Designation Head of Department, Assistant Professor
Phone 8921776326
Email meenualex07@gmail.com
Qualification M.Tech
Experience 4.5 Years Experience Teaching
Papers Published 4
Roles Handled Head of the Department, Asst Professor
Joining Date 9/6/25

Sarika G

Assistant Professor

Athira N Ravi

Assistant Professor

Madena Husna KA

Assistant Professor

Sainaba K Shahul

Asst Professor

Dhanya K Thomas

Asst Professor

Non- Teaching Faculty

Anzil Nazar

Designation Lab Assistant
Phone 9747513938
Email ansalnazar38@gmail.com
Qualification Diploma in Electronics and Communication
Experience 8 Years

Bipin Peethu

Designation Lab Assistant
Phone 9747513938
Email
Qualification
Experience

Blessy Samuel

Designation Lab Assistant
Phone
Email
Qualification
Experience

Lab Facilities

Excellent infrastructure is provided for the academic betterment of our students. To substantiate theoretical expressions, Al-Azhar has established modern laboratories that comply with the KTU regulations. The equipment, specimen and technical facilities in the lab create a superior ambience for the students to conduct experiments.

Communication Engineering Lab

Communication laboratory has the most priority among the various labs in the curriculum of Electronics and communication engineering students for undergraduate courses. It handles various practical experiments in the field of analogue and digital communication engineering. The experiments which is a part of the communication engineering lab are shown below

. AM, FM, PM, QAM, SSB, SM

. ASK, APSK, BPSK, QPSK, PAM, PCM, PWM

Electronic Circuits Lab

This is a lab where the students learn the characteristics of different electronic devices and the basics of circuit design and implementation. The lab contains all necessary measuring instruments, display instruments, power supplies and function generators for the students to do experiments. Apart from Electronics and Communication students, third-semester students of Information Technology and Computer Science disciplines also make use of this lab. The experiments which is a part of the circuits lab are shown below

Half –wave Rectifier, Full-wave rectifier, Bridge rectifier, Common Emitter amplifier.

Oscillatorcircuits-Hartley, RC Phase shift, colpitts, crystal.

Different circuits using operational amplifiers.

Microwave & Optical Communication Lab

The laboratory is equipped with microwave benches at J band and H band, which includes expensive devices like klystron tubes, gun diodes, VSWR meter, directional couplers etc. some of the experiments are given below
To study waveguide components.
The characteristics of Gunn oscillator &Gun diode as the modulated source.
Study of waveguide horn and its radiation pattern and determination of the Beamwidth.
To study isolation and coupling coefficient of a magic Tee.
To measure coupling coefficient, Insertion loss & Directivity of a Directional coupler.

Electronic Product Design Lab

The department of Electronics and Communication Engineering has a fully-fledged product development laboratory. The lab has all facilities which provide a clear cut idea of the processes behind the Electronic Product Design. The lab caters to the requirement of students for carrying out mini-project and major projects in the department itself.

The key features of the laboratory are

A Printed Circuit Board Lab
Licensed Simulation and Design Tools
Facilities required to fabricate any B Tech level electronic products such as a) Workshop Tables, b) Bench wise c) Drilling Machines, d) Grinding machine e) Bending machine f) Sheet cutter, g) Transformer winding machine etc.
The lab also keeps a stock of all the required items to make models of the products before actual fabrication.

DSP Lab

The students perform experiments using Digital Signal Processor trainers and execute programs for signal generation and processing. The software facilities include the following

SCI lab
Mat Lab
Lab VIEW, KEIL, PROTEUS, MASM

Microprocessor & Microcontroller Lab

This lab consists of a microprocessor and micro controller trainer kits for conducting lab experiments.

8085, 8086 Mp kit, 8051 mc kit, and various kits for interfacing experiments. This lab is used by ECE and CSE students.

Digital Electronics Lab

Electronics and Communication, Information Technology and Computer science students make use of this lab for the realization of different logic circuits and for the simulation of certain circuits. This lab is equipped with Digital Logic IC trainers, analogue and digital IC testers apart from the function generators and measuring and display instruments.