India's Leading AI & Machine Learning Institutes, 2023.pdf

India's Leading AI & Machine Learning Ins tutes, 2023
www.theknowledgereview.in
Vol. 10 | Issue 02 | 2023
Vol. 10 | Issue 02 | 2023
Vol. 10 | Issue 02 | 2023
India
Information Technology
Bangalore
Pushing the Boundaries of AI
Research and Educa on
Page No. 24
Unleashing the Power of AI
How Machine Learning is
Revolu onizing Industries
International Institute of
AI Demys ﬁed
A Beginner's Guide
to Machine Learning
Page No. 12

n the era of digital transformation, the pursuit of
Iknowledge has never been more imperative. The
corridors of academia, particularly those resonating
with the hum of Artiﬁcial Intelligence and Machine
Learning, are at the forefront of this knowledge revolution.
As we stand on the precipice of the future, these institutes
stand as beacons of enlightenment, nurturing the minds that
will shape tomorrow's world.
In its latest edition, "India's Leading AI & Machine
Learning Institutes, 2023," The Knowledge Review
embarks on a journey to explore the foundations of
innovation, unravel the intricacies of machine intelligence,
and meet the visionaries who lead the way.
Pioneering
the Path to
Progress

Artificial Intelligence and Machine Learning are no longer
futuristic concepts but integral parts of our daily lives.
From predictive algorithms to self-driving cars, from
healthcare diagnostics to personalized entertainment
recommendations, AI and Machine Learning have
integrated themselves seamlessly into our existence. They
are catalysts of progress, revolutionizing industries,
enhancing efficiency, and pushing the boundaries of what's
possible.
This edition serves as a tribute to the institutions that foster
the brightest minds in this field. These institutes have
consistently upheld the torch of knowledge, equipping
students with the skills and insights to harness the potential
of AI and ML. They are the nurturing grounds for those
who dream of machines with human-like intelligence and
algorithms that can decipher the complexities of our world.
We invite you to delve into the depths of this edition and
explore the possibilities. Join us on this enlightening
voyage through the world of AI and Machine Learning
education, and be inspired by the passion, dedication, and
innovation that define these institutes.
Have a delightful read!
Editor’s
Note
- Gopal Ingole
Gopal Ingole

Indian Institute of Science
Pioneering the Path of Transformative Education
Thadomal Shahani Engineering College
Shaping Ethical Leaders in AI and ML
The NorthCap University
Ensuring a Comprehensive Educational Pathway for Aspiring Engineers
Articles
Profiles
16
20
28
12 A Beginner's Guide to Machine Learning
AI Demysti ed
24 How Machine Learning is Revolutionizing Industries

Information Technology
Bangalore
International Institute of
08
Cover
Story
Contents

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October, 2023

Indian Institute
of Science
Description
Name of the Institute
Indian Institute of Science is a prominent and
forward-thinking institution, steadfastly
committed to pioneering advancements and
nurturing student excellence.
https://iisc.ac.in/
International
Institute of Information
Technology Bangalore
International Institute of Information Technology
Bangalore was established to contribute to the IT
world through education, research,
entrepreneurship, and innovation.
Vellore Institute
of Technology (VIT)
Vellore Institute of Technology was established
with the aim of providing quality higher education
on par with international standards.
Thadomal Shahani
Engineering College
Thadomal Shahani Engineering College is
committed to AI education and offers extensive
programs for its students.
The NorthCap
University
The NorthCap University aims to be known
globally for learning innovations academic
excellence and strives to become the preferred
destination for students.
URL
https://www.iiitb.ac.in/
https://tsec.edu/
https://www.ncuindia.edu/
https://vit.ac.in/

The realm of Artificial Intelligence (AI) and Machine
Learning (ML) has rapidly expanded over the past
few decades, giving rise to groundbreaking
innovations that are transforming industries and societies
worldwide. Behind these advancements are pioneering
Institutes dedicated to pushing the boundaries of AI
research and education.
The AI and ML landscape is ever-evolving, with Institutes
around the world driving innovation and technological
progress. These institutions, known for their research
contributions, educational programs, and collaborations
with industry partners, continue to shape the future of AI.
As the field continues to expand and new breakthroughs
emerge, staying updated with the latest developments from
these leading Institutes remains crucial for anyone invested
in the world of artificial intelligence and machine learning.
International Institute of Information Technology-
Bangalore was one of the first Institutes in India to
acknowledge this rapid expansion.
The Institute offers AI/ML as an “Area of Specialization”
(among other specializations) to its iMTech and MTech
students (in both ECE/CSE branches). This specialization
requires the students to opt for a certain minimum number
of elective courses from a set of bouquet courses offered by
the faculty – such as “Topics in AGI,” “Reinforcement
Learning,” “Visual Recognition,” “Advanced Visual
India's Leading AI & Machine Learning Institutes, 2023
October 2023 8

Recognition and Rendering,” “Few-shot Learning,” “Self-
supervised Learning,” “Spatial Computing,” “Cognitive
Science and its BCI Applications” and pre-requisites such
as “Maths for Machine Learning” and “Machine Learning.”
Upgrading Essential Skills
The Institute offers Continuing Professional Education
(CPE) programmes for working executives. These
progammes are mainly developed for professionals to
upgrade their skills or acquire new skills. It offers two types
of certificate programmes: shorter duration (about six
months) and longer duration (11-12 months) in mainly four
areas, namely:
• Data Sciences
• Machine Learning/Artificial Intelligence
• Software Development
• Cyber Security
The Institute is also in the process of offering a short-term
programme in User Interface/ User Experience design and a
longer-duration programme in Digital Product Engineering
and Management. All the programmes are offered through
the learning management system of preferred Technology
Service Providers. The learners have the flexibility of
learning from pre-recorded video lessons and also attend
live online sessions conducted by IIIT-B faculty members.
Gearing Toward a Hands-On Approach
The faculty at the Institute with specializations related to
AI/ML come from a wide background, such as Affective
Computing, Machine Vision, Spatial Computing, Natural
Language Processing, Web-sciences, Automatic Speech
Recognition, Theoretical Computer Science, Control
Systems, Robotics, Reinforcement Learning, etc.
In addition to the regular curriculum designed around
classroom instructional mode, the Institute actively
encourages students to take Reading Electives (RE), Project
Electives (PE), 20-credit research projects (20C), Final year
Thesis, Internships at industry/corporate R&Ds, etc. These
are geared towards a hands-on approach to problem-solving
with real-world data for applications defined around
research programs/projects of faculty and industry. All
students have the option to work on cutting-edge projects in
any of the Institute’s several AI/ML centers like MINRO,
CIET, etc.
The Institute has a multi-pronged/multi-faceted presence in
AI/ML: for instance, it hosts several AI/ML-related Centres
of Excellence and GoK-funded projects of large scales,
such as MINRO (Machine Intelligence and Robotics), Data
Lake, Sustainable Development Goals, Cognitive
Computing, etc., which individually and together provide a
large canvas for the faculty and students to define their
problem spaces, have research funding, and foster inter-
disciplinary collaborative work.
The Institute supports and encourages individual Faculty to
have their own captive access to computing resources (GPU
machines) in addition to providing common computing
access to GPU servers from various projects currently
funded in AI/ML topics (e.g., MINRO, Mphasis,
We have an ac ve engage-
ment with students in the
topics of NLP, Computer
Vision, Robo cs, hard-core
Machine Learning topics,
Automa c Speech Recogni-
on, Spa al Compu ng,
Reinforcement Learning, etc.
9
Cover Story

OpenStream) as well as cloud computing facilities (e.g.,
A100 GPU servers on cloud) – accessible by undergraduate,
graduate and research students for both course-related
activities and research activities.
Making the Curriculum Enriching
The Institute’s curriculum and research are by nature
interdisciplinary, and the courses offered reflect this – in the
form of several courses taught jointly by multiple faculties
and enrolled by students across disciplines (e.g., ECE/CSE
in iMTech, MTech, etc.). This, in addition to most of the
courses having significant hands-on components, fosters the
students to work together in small groups for projects, be it
classroom projects or RE/PE, 20 credits, or Research
(MS/Ph.D.) projects. Alongside this, the fact that all courses
have student TAs makes the curriculum enriching for the
students via interaction and provides a collaborative
learning environment. Interestingly, faculty members who
are deep into AI/ML research are the ones who offer courses
for students, too.
Students carry out mandatory six-month internships, mostly
in reputed industries. Several companies looking for data
science and AIML profiles visit the Institute. Owing to the
high demand for students from the Institute, the median
salary of students is one of the highest in the country. A
majority of the master’s students specialize in AI/ML. They
get placed in deep tech product companies in certain
sectors, such as BFSI.
Maintaining Active Engagement
The Institute has an active engagement with students in the
topics of NLP, Computer Vision, Robotics, hard-core
Machine Learning topics, Automatic Speech Recognition,
Spatial Computing, Reinforcement Learning, etc. – in the
form of these subjects being taught as classroom electives
and also offered as reading/project-electives.
In addi on to the regular curriculum
designed around class-room
instruc onal mode, we ac vely
encourage students to take Reading
Elec ves (RE), Project Elec ves (PE),
20-credit research projects (20C),
Final year Thesis, Internships at
industry/corporate R&Ds, etc.
10

Cover Story
Dr. Sunil Kumar Vuppala is the Director – Data Science
Ericsson Global AI Accelerator (GAIA), Bangalore. He is
featured as one of the top 10 data scientists in India for
2019 and Received the Top 40 Data Scientists under 40 in
India (2019) award.
The Institute provides free “online” access to all the leading
journals and conference proceedings in the field of AI/ML
via subscriptions (e.g., IEEE, ACM, Elsevier journals and
NeurIPS, NIPS, ICCV, ECCV, AAAI conferences, to name
a few), which helps the students and faculty to keep abreast
in their curriculum contents and research directions. In
addition, the Institute promotes student travel to
conferences to publish/present their work at
National/International conferences, which keeps the
students well informed of current trends and practices in
their areas of specialization.
The Institute has highly productive interactions with
various industry R&Ds (e.g., Mphasis, Accenture, Infosys,
Samsung, Continental) and governmental funding agencies
(e.g., DST, MeiTY, SERB, GoK), which provides a
conducive learning environment for the students in the form
of research funding, scholarships, exposure to state-of-the-
art practices in R&D (e.g. students doing internships at
industry R&Ds during their final iMTech/MTech terms).
Honing Ideal Professionals
Apart from its courses having significant hands-on
components, which help the students to carry out several
projects, all of its students undergo a semester of placement
preparation. During this period, they undergo training to
write impactful CVs and crack technical interviews. Several
of its alumni volunteer to conduct mock interviews. The
Institute also provides soft-skill training for students who
are in need. Students are also given access to a large section
of online courses.
Primarily, the AI/ML “specialization” is open to all
iMTech/MTech students in both branches (ECE/CSE) and
MS/Ph.D. students with prerequisites depending on the
individual courses and faculty offerings (RE/PE/20-
credits/Research credits). Minimal prerequisites range from
the basics of probability theory and linear algebra to
specific computing languages and exposure to base
electives such as Maths-for-ML and ML.
All the online programmes are offered
through the learning management
system of preferred Technology
Service Providers. The learners have
the flexibility of learning from pre-
recorded video lessons and also
a end live online sessions conducted
by IIIT-B faculty members.
11

AI Demystified
October 2023 12
achine learning is crucial in
Mtoday's data-driven world.
It empowers us to extract
valuable insights from massive
datasets, automate tasks, and make
informed decisions. Understanding
machine learning allows us to create
predictive models, enhance
technological personalization, optimize
processes, and solve complex
problems. It underpins advancements
in various fields, from healthcare to
finance and self-driving cars.
In an increasingly competitive job
market, proficiency in machine
learning is a valuable skill, opening
doors to exciting career opportunities.
Learning machine learning equips
individuals to harness the potential of
data, driving innovation and progress
in the digital age.
A Beginner's
Guide to
Machine Learning

'
13

In an age where technology advances
astonishingly, Artificial intelligence
(AI) has a subset called machine
learning, which has gained popularity.
Machine learning is not just for IT
professionals; everyone interested in
discovering its wonders can access it.
In this article, we'll demystify machine
learning and illuminating its practical
applications.
Understanding Machine Learning
Machine learning is fundamentally a
sort of computer programming that
enables computers to learn from data
and enhance their performance on
tasks without explicit programming.
The computer is fed data and
algorithms that help it recognise trends,
forecast the future, and adjust over
time rather than giving detailed
instructions.
Learning from Labelled Data
Supervised learning is an essential part
of machine learning. Think of it as a
teacher directing a pupil. When
supervised learning, the algorithm is
fed labeled data or information
previously matched with the correct
responses. The methodology refines
itself to create future predictions that
are more accurate by comparing its
predictions to the correct answers.
Tasks like spam email detection, image
recognition, and language translation
use this kind of learning.
Discovering Patterns
Unsupervised learning is like a student
exploring independently without a
teacher's guidance. Here, the algorithm
is given data without labeled outcomes.
Its job is to find patterns or structures
in the data. This is used in clustering
tasks, like grouping similar products
for recommendations or identifying
anomalies in data.
Learning Through Trial and Error
Learning through reinforcement is
similar to training a puppy. An agent
interacts with its environment and
gains knowledge by being rewarded or
penalised for activities. It learns over
time which actions result in better
rewards. Training autonomous
systems, such as self-driving cars and
gaming bots, uses this kind of learning.
Real-World Applications
Machine learning is not just a
theoretical concept. It's deeply
ingrained in daily lives, often without
us realizing it. Here are some real-
world applications:
Ÿ Think about Google Assistant,
Alexa, or Siri. They comprehend
inquiries and respond by utilizing
machine learning and natural
language processing.
Ÿ Netflix, Amazon, and YouTube use
machine learning to recommend
movies, products, and videos based
on past choices.
Ÿ Machine learning helps diagnose
diseases, predict patient outcomes,
and even discover drugs.
Ÿ In the financial world, it's used for
fraud detection, stock market
predictions, and algorithmic
trading.
Ÿ Self-driving cars use machine
learning to perceive their
environment and make driving
decisions.
Ÿ Face recognition on the smartphone
or identifying objects in photos is
all thanks to machine learning.
Demystifying the Jargon
Machine learning is packed with
terminology that can be intimidating.
Think of it as a recipe or set of
instructions that the computer uses to
complete a task. It's like the brain of a
machine learning system, made up of
algorithms and parameters. This is the
phase where the model learns from
data. These are the characteristics or
attributes in the data that the model
uses to make predictions.
When a model is complex and fits the
training data perfectly but fails to
generalize to new, unseen data.
Balancing act – bias is underfitting
(oversimplified model), and variance is
overfitting (too complex model).
Starting the Learning Process
Start with online courses and tutorials.
Platforms like Coursera, edX, and
Khan Academy offer great resources.
Get hands dirty by working on simple
machine learning projects. Libraries
like TensorFlow and scikit-learn can be
best friends.
Follow blogs, books, and research
papers in machine learning.
Join online forums and groups to
consult new people. others who share
interests.
Machine learning can be challenging,
but remember, it's a learning process.
Mistakes are a part of the journey.
Conclusion
Machine learning is not just a passing
trend; it's the future. Machine learning
applications will increase as
technology develops further. The
possibilities are endless, ranging from
personalised healthcare to climate
prediction, personalised education, and
autonomous robots.
Learning, trying new things,
and—most importantly—remaining
curious are the keys to opening up
these possibilities. Machine learning is
a voyage that promises a world of
discoveries, regardless of whether you
are a student, professional, or just
someone captivated by the field of AI.
The future is ready to be influenced by
curiosity and imagination, so embrace
the challenge, take the first step, and
explore the fascinating world of
machine learning.
October 2023 14

on words, for actions speak louder.
When leaders model kind and
compassionate behavior, it sets an
example for others to follow. Empathy
is not a weakness in leadership but
rather a strength that can bring diverse
communities together, inspire positive
change, and lead to success in
education.
When students and staff witness
leaders practicing empathy, they are
more likely to adopt these values and
spread kindness throughout the school.
Therefore, it is crucial for school
leaders to prioritize empathy in their
leadership style, as it can have a
profound impact on the overall culture
and success of the school.
Conclusion
To be an effective school leader, one
must possess the quality of empathy,
especially in the constantly evolving
landscape of education. Empathy plays
a crucial role in creating a safe,
welcoming, and inclusive environment
that supports the mental health and
well-being of everyone. It builds strong
relationships among the members of
the school community and helps to
resolve conflicts in a constructive and
effective manner.
Empathy also fosters creativity,
15
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In the dynamic plethora of global
industries, the future is undeniably
shaped by the transformative
technology of artificial intelligence
(AI) and machine learning (ML). In
this arena, the Indian Institute of
Science (IISc), a venerable institution
established in 1909 and nestled in the
vibrant city of Bengaluru, emerges as a
pinnacle of success. With visionary
professors Chiranjib
like
Bhattacharyya Venkatesh Babu
and
Radhakrishnan at the helm, and
several others performing cutting-edge
research in the domain, IISc continues
to be a trailblazer, guiding students
toward a future where they are not just
industry-ready but poised to shape the
very industries they enter. These
distinguished scholars have played
pivotal roles in shaping the institution's
AI and ML landscape.
IISc has emerged as a prominent and
forward-thinking institution,
steadfastly committed to pioneering
advancements, nurturing student
excellence, and forging impactful
industry collaborations.
With its rich legacy spanning over a
century, IISc has consistently
demonstrated dedication to the
advancement of AI and ML. This
commitment is evidenced through its
leading-edge programs that fill students
with the knowledge and skills essential
for mastering the technologies that will
define the industries of tomorrow.
The Institute's collaborative
atmosphere extends beyond its
hallowed halls, creating vital
connections with industry leaders and
organizations. These collaborations
serve as fertile grounds for
groundbreaking research initiatives
that push the boundaries of what AI
and ML can achieve. By actively
engaging in research projects that hold
real-world significance, students at this
magnificent institution gain invaluable
practical experience that prepares them
to excel in the industry.
In the global pursuit of mastering AI
and ML IISc rises as an institution of
,
unparalleled distinction. In this rapidly
evolving field, IISc is known for
innovation and excellence.
Impeccable AI and ML Programs
At IISc, the knowledge of AI and ML
is imparted to the students through a
range of top programs and courses
designed to provide a comprehensive
understanding of this field. The
Institute's Division of Electrical,
Electronics, and Computer Sciences
Indian Institute of Science
Pioneering the Path of Transformative Education
October 2023 16

Our
Institute has
collaborations
with leading
companies of
both Indian and
non-Indian
origin.
(EECS) and the Division of
Interdisciplinary Sciences (IDS)
collectively house over 40 faculty
members who are engaged in
pioneering research in AI.
One of the notable programs
introduced by the institution is the two-
year MTech (AI) program, which dives
deep into the foundations and
advanced technologies of AI.
Furthermore, various MTech programs
offered by departments such as
Computer Science and Automation
(CSA), Computational and Data
Sciences (CDS), Electrical Engineering
(EE), and Electrical Communication
Engineering (ECE) integrate AI
components into their curriculum,
ensuring a strong overlap with this
burgeoning field.
To cater to early-career professionals
seeking to upskill in AI, IISc has also
introduced an MTech (Online; AI)
program, offering flexible learning
options.
17

All IISc
faculty
members are
PhD holders
from leading
universities
across the
globe and
India.
The Institute has recognized the
importance of instilling AI and ML
concepts at the undergraduate level and
has recently launched a BTech
(Mathematics and Computing)
program. This program equips
undergraduates with a solid foundation
in AI and data science, setting the stage
for future AI practitioners.
IISc has a faculty team with extensive
qualifications and expertise in artificial
intelligence and machine learning.
These knowledgeable elite members
hold Ph.D. degrees from renowned
universities worldwide and regularly
contribute to top-tier peer-reviewed
publications in the field. They actively
present their research findings in
conferences like NeurIPS, ICML,
ICLR, AAAI (Machine Learning),
CVPR, ICCV, ECCV (Computer
Vision), and ACL, EMNLP (Natural
Language Processing).
Industry Collaborations and Real-
world Applications
To span the chasm between academics
and industry, IISc encourages faculty
members to explore collaboration
opportunities with leading companies.
These collaborations often lead to
research projects that provide students
with practical experience and
contribute to their thesis work. Faculty
members also serve as consultants to
various industries and may undertake
sabbaticals in industry settings.
Furthermore, the Institute actively
promotes student internships in leading
companies, providing hands-on
experience and a chance to apply
classroom knowledge in real-world
scenarios.
Pioneering Research Initiatives
IISc's commitment to AI and ML
research is evident through its
pioneering initiatives. The AI &
Robotics Technology Park
(ARTPARK), an IISc-led initiative,
focuses on translating AI research into
practical applications. It also supports
startups in the broader field of AI.
Some notable research projects and
initiatives include X-ray Setu. This
innovative product uses transfer
learning to analyse X-ray images of
lungs and detect COVID-19 positivity
with high accuracy. It provides
predictions, localizes infected areas,
and generates comprehensive reports
within minutes.
Established in 2022 with CSR funding
from Kotak Mahindra Bank Limited,
the Kotak IISc AI-ML Centre (KIAC)
is developing into a state-of-the-art AI-
ML Centre. It facilitates education,
training, and skill development in AI-
ML through expert talks, courses,
workshops, financial support for
students, and conference participation.
IISc has invested in resources and
infrastructure to support AI and ML
research. Four large computing clusters
in the departments under the Division
of EECS are dedicated to AI and ML
research. These have been supported
through CSR grants from SBI Cards,
Tata Elxsi, GroupM, and Timken.
Chiranjib Bhattacharyya
Professor, Indian
Institute of Science
Venkatesh Babu Radhakrishnan
Professor, Indian
Institute of Science
October 2023 18

Additionally, the Institute maintains a
well-stocked digital library accessible
to all researchers.
Collaborative Learning
Environment
IISc fosters a collaborative and
interactive learning environment to
enrich AI and ML education. Faculty
members have the freedom to design
courses that encourage collaboration
with industry. The Institute promotes
faculty engagement with global peers
through collaborative research
agreements with renowned universities
and institutions worldwide.
Placement and Internship
Opportunities
IISc students benefit from a robust
placement and internship support
system coordinated by the Office of
Career Counselling and Placement
(OCCAP). Graduates find employment
opportunities in a wide spectrum of
companies, including startups, mid-
sized enterprises, and multinational
corporations.
Specialized Tracks and
Concentrations
IISc offers specialized tracks and
concentrations within the AI and ML
field. For instance, the MTech
(Robotics and Autonomous Systems)
program offered by the Robert Bosch
Centre for Cyber-Physical Systems
(RBCCPS) focuses on robotics and
autonomous systems. Elective courses
like 'Deep Learning for Natural
Language Processing' and 'Deep
Learning for Computer Vision' cater to
specific interests within AI.
Notable Alumni Contributions
IISc has a roster of notable alumni who
have made significant contributions to
the field of AI and ML. Rama
Chellappa, Bloomberg Distinguished
Professor at Johns Hopkins Whiting
School of Engineering; Sethuraman
Panchanathan, Director of the National
Science Foundation; and Jay Yagnic,
Vice President and Engineering Fellow
at Google Research, are alumni who
exemplify the impact of IISc graduates
in shaping the AI scenario.
Staying Updated with Advancements
IISc remains at the forefront of AI and
ML advancements by actively
participating in research conferences
and workshops. Faculty members and
students regularly present their
research findings at top-tier
conferences, ensuring that the
curriculum remains aligned with the
latest trends and developments in the
field.
Industry Collaborations and
Support Services for Career
Development
IISc has established numerous industry
partnerships to enhance students'
practical exposure to AI and ML.
These collaborations encompass
research projects, internships, and
extended engagements with leading
companies, both Indian and
international. To aid students in their
career development and job placements
in artificial intelligence and machine
learning, the Institute provides
comprehensive support services
through its Office of Career
Counselling and Placement (OCCAP).
Shaping the Future of AI in India
and Beyond
Prospective students interested in AI
and ML programs at IISc typically
need to hold a bachelor's degree in
engineering in the field of Electrical,
Electronics, and Computer Sciences
for postgraduate programs. Admission
to the Ph.D. program typically requires
a master's degree.
The Indian Institute of Science (IISc)
stands proudly and contributes
effortlessly to the field of artificial
intelligence and machine learning in
India. Its commitment to leading-edge
research, industry collaborations,
specialized programs, and fostering a
collaborative learning environment
positions IISc as a leading institution
that equips students with the
knowledge and skills needed to make a
meaningful impact in the world of AI
and ML. With its rich legacy and
forward-looking approach, IISc
continues to shape the future of AI in
India and beyond.

Engineering is not limited; it is
beyond the study of forty-five
subjects in eight semesters, a
moral study of cerebral concepts.
Thadomal Shahani Engineering
College, in Bandra West, Mumbai, is
one of India's most prestigious
engineering colleges. As Dr G. T.
Thampi, the Principal of this institute,
described, its comprehensive
curriculum was designed to shape
students into adept solution builders in
electronics, programming, and
mathematics and master the concepts
of AI and Machine Learning.
In the first year, students are
introduced to the fundamental pillars
of basic electronics, programming,
mathematics, and physics. This
foundational year aims to provide them
with a firm footing in mathematical
formulations of physical systems and
essential problem-solving through
logical thinking. It lays the
groundwork for electronics.
In the second year, the curriculum
deepens its focus on electronics with
subjects like Digital Logic Circuits and
Microprocessors. These courses
empower students to understand the
inner workings of digital electronic
systems and create hardware solutions
for digital technologies. Additionally,
students are introduced to Discrete
Mathematics, Data Structures,
Algorithm Analysis, Database
Management, and Operating Systems,
equipping them with tools to tackle
complexity and understand the
fundamentals of digital databases.
Extensive laboratory work in JAVA and
Python programming languages
explores their possibilities.
In the third year, students face a
diverse set of courses, including
Computer Networks, Web Computing,
Artificial Intelligence, Data
Warehousing & Mining, and Statistics
for Artificial Intelligence & Data
Science. Soft skills are honed through
courses like Business Communication
and Ethics-II, with practical experience
through data-related projects and labs.
By the final year students study a
comprehensive set of subjects designed
to transform them into proficient
solution architects. These subjects
encompass cutting-edge areas like
Deep Learning, Big Data Analytics,
Natural Language Processing, and AI
for Healthcare. Additionally, they delve
into User Experience Design with
Virtual Reality, Blockchain
Technologies, Game Theory for Data
Science, Quantum Computing, and
more. Two major projects serve as the
pinnacle of their education, ensuring
they are well-prepared to excel in
various fields, including finance,
banking, and social media analytics.
Staying at the Forefront Through
Collaboration
Dr. G. T. Thampi discussed the
institution's proactive approach to AI
education and skill development.
College is committed to AI education,
which began in 2015 by offering
extensive training programs to staff
members with postgraduate
THADOMAL
SHAHANI
Engineering College
Shaping Ethical Leaders in AI and ML
October 2023 20

qualifications in computer engineering
and information technology. A
significant number of these staff
members were encouraged to pursue
AI-related topics for their doctoral
research, fostering expertise within the
college.
To stay in the avant-garde of AI
advancements, the college actively
collaborates with startup companies.
Through these partnerships, they
identify areas that require
strengthening and work towards
reducing skill gaps between academia
and industry practices.
Furthermore, Thadomal Shahani
Engineering College promotes
continuous learning by offering
refresher courses and training
programs for both students and
faculty members. They also
emphasize the importance of
Massive Open Online Courses
(MOOCs) to ensure that their
educational community matches
well with the recent developments in
Artificial Intelligence.
It shortens the gap between
academic and industry perspectives
to prepare students for the rapidly
evolving field of AI.
We remain committed
to initiating our gradu-
ates to nascent and
productive technolo-
gies that are disrupting
business processes and
governance, which
nudges citizens for
behavioural change to
create a carbon-neutral
and equitable society
for the sustainability of
humanity in the face of
the earth.
21

Projects and Initiatives related to AI
and Machine Learning
At Thadomal Shahani Engineering
College, students at the graduate level
engage in a wide-ranging spectrum of
projects that harness the cutting-edge
potential of artificial intelligence (AI).
These projects span from healthcare,
where reinforcement learning aids in
synthetic dataset utilization, to the
development of Large Language Models
(LLMs) for Marathi language chatbots,
and the creation of generative AI-driven
Excel macros.
Students delve into the realms of
cybersecurity prediction, interactive art
generation using GANs, and Fintech
solutions. They also work on enhancing
productivity in sectors like the
automotive industry and sales and
marketing through AI applications.
At the Ph.D. level, the focus shifts to
advanced research, including intelligent
robotic process automation, CRM
services powered by AI, air quality
forecasting, and the optimization of 6G
networks. These projects exemplify the
college's commitment to pushing the
boundaries of AI's transformative
potential across various domains.
Promoting Hands-On Experiences
Thadomal Shahani Engineering College
has invested significantly in its
laboratory infrastructure, providing
students with access to high-
performance computing resources,
including Mac and HP machines
equipped with GPUs, as well as essential
software tools like MATLAB and
Python. The college focuses on practical
learning, making mini projects and
major projects compulsory components
of the curriculum.
Furthermore, it actively encourages
graduating students to pursue internships
in the field of Artificial Intelligence,
enabling them to develop hands-on
Dr G. T. Thampi
Principal, Thadomal Shahani Engineering College
October 2023 22

competencies in various AI
applications. The results are evident in
the impressive placements achieved by
students, with renowned companies
like JP Morgan Chase & Co, Deutsche
Bank, Oracle Financial Services
Software, Marwardi Shares, TIAA
India, and Deloitte USI & India
offering competitive packages,
underscoring the college's commitment
to nurturing talent and making students
industry ready.
College offers specialized tracks and
concentrations within the dynamic field
of AI and Machine Learning. These
specialized tracks include natural
language processing, computer vision,
and robotics. Students are not only
introduced to the intricacies of natural
language processing and the design
and implementation of chatbots
(conversational AI) but are also
immersed in computer vision and
image processing. The college is also
diligently cultivating competencies in
Robotic Process Automation, with a
focus on creating efficiencies that
contribute to environmentally
sustainable human activities.
This forward-looking initiative,
initiated three years ago, aims to
produce accredited and esteemed
alumni by 2025. Moreover, the
institution actively monitors emerging
literature in the AI and related
technology domains, facilitating the
adaptation of cutting-edge practices
that can revolutionize business
processes and governance.
College remains dedicated to
equipping its graduates with nascent
and transformative technologies,
fostering behavioural change, and
championing the cause of creating a
carbon-neutral and equitable society
for the sustainable future of humanity
on Earth.
Empowering Student Engagement
College has forged valuable
collaborations with magnificent
companies like Futurepreneur Tech
Pvt. Ltd, Salins Technologies Pvt. Ltd,
and Quantiphi, illustrating its
commitment to nurturing innovation
and industry readiness. Through these
partnerships, the institution has
implemented a flexible academic
framework that empowers students to
actively engage in specialized training
programs.
Moreover, recognizing the importance
of cloud services and the need for
access to cutting-edge tools and
equipment in AI and ML, the college
extends financial support to students,
ensuring they can harness these
essential resources.
One distinguishing aspect of the
college's approach is its appreciation
for students who exhibit not only
intellectual prowess but also emotional
integrity. It places a premium on
mathematical proficiency, recognizing
that a strong foundation in this
discipline is fundamental to success in
AI and ML. Furthermore, it values
students with a natural aptitude for
algorithmic problem-solving and
demonstrate competencies in
approaching challenges with a
thoughtful architectural mindset.
These collaborative efforts and the
cultivation of multifaceted skills
underscore the college's dedication to
preparing students who are not just
academically accomplished but also
equipped to thrive in the ever-evolving
landscape of AI and ML, making a
positive impact on the industry and
society at large. Thadomal Shahani
Engineering College remains
committed to nurturing a generation of
well-rounded, forward-thinking
professionals.
Diverse Learning Journey
College's journey through innovation
and excellence in engineering education
culminates in a vision of producing
well-rounded professionals equipped to
lead in the dynamic world of AI and
ML. By fostering a flexible academic
environment, promoting hands-on
experience, and nurturing
collaborations with industry leaders, the
college not only bridges the academic-
industry gap but also nurtures future
problem solvers and solution builders.
With a strong commitment to ethical
values, sustainability, and cutting-edge
technology, the institution prepares
graduates to make a meaningful impact
in the ever-evolving landscape of AI,
contributing to a better, more equitable
world.
23

Industries
he development of methods
Tand models that enable
computers to learn from data is
the focus of the machine learning
subfield of artificial intelligence.
Through it, computers can identify
patterns, forecast outcomes, and work
more effectively without explicit
programming. Data analysis, speech
and image recognition,
recommendation systems, self-driving
cars, and other applications require
machine learning.
Large volumes of data may be fed into
these algorithms to enable them to
uncover insights, make wise decisions,
and continuously improve their
understanding, making them an
effective tool for automation and data-
driven decision-making across a
variety of industries.
Thanks to the amazing developments
in machine learning and artificial
Machine
Revolutionizing
October 2023 24
How
is
L
earning
intelligence (AI) during the past few
years, the world has seen an
astonishing transformation in a wide
range of industries. The artificial
intelligence (AI) and machine learning
have had a revolutionary impact on
industries as diverse as healthcare,
finance, manufacturing, and
transportation. In this article, we'll
examine how these cutting-edge
technologies are transforming the
landscape of numerous industries and
opening a world of opportunities.
Exploring the Fundamentals of
Machine Learning and AI
Let's define machine learning and
artificial intelligence (AI) before we
examine the effects of these
technologies. It is possible for
computers to analyse information,
acquire knowledge from it, and make
decisions based on that learning
without being explicitly programmed;
this is known as machine learning.

25

Machine learning develop strategies
that get better over time.
Contrarily, AI is a more general idea. It
includes the creation of machines that
can carry out tasks like problem-
solving, interpreting natural language,
and picture recognition that
traditionally call for human
intelligence.
Reengineering Diagnosis and
Treatment
Healthcare has seen one of the most
significant changes as a result of AI
and machine learning. These
technologies can assist in disease
diagnosis more correctly and swiftly
than ever before thanks to access to
enormous volumes of medical data.
Medical imaging data from X-rays and
MRIs can be analysed by machine
learning algorithms to spot possible
problems and aid doctors in making
better choices. Virtual assistants and
chatbots powered by AI are also
improving patient care and giving
speedy answers to medical questions.
Improving Risk Management and
Fraud Detection
Machine learning is transforming risk
management and fraud detection in the
banking sector. Large datasets can be
analysed by algorithms to find trends
that might point to fraud or other
possible market hazards. Additionally,
AI-powered robo-advisors are gaining
popularity for managing investments
and providing individualized financial
advice to individual investors.
Optimizing Processes and Quality
Control
Manufacturing processes is a walk in
the park through AI and machine
learning. These technologies are used
for predictive maintenance, which
means machines can signal when they
require maintenance before a
breakdown occurs, reducing downtime.
Quality control is also beneficial as AI
systems can detect defects in products
with remarkable accuracy, ensuring the
best for the consumers.
Paving the Way for Autonomous
Vehicles
With the introduction of self-driving
cars, the automobile sector is on the
verge of a dramatic upheaval. The
ability of autonomous vehicles to
navigate and make judgements in real
time on the road is fundamentally
based on machine learning and AI. By
lowering traffic congestion and fuel
consumption, this technology has the
potential to not only make
transportation safer but also more
effective.
Personalizing Customer Experiences
Machine learning and AI enable
personalized shopping experiences in
the retail industry. Recommendation
engines, like those used by Netflix and
Amazon, examine consumer
preferences and behaviour to make
recommendations for products or
entertainment that are catered to
specific desires. Sales are increased as
a result, in addition to improving
customer happiness.
Customizing Learning Experiences
In education, AI is personalizing
learning experiences for students.
Adaptive learning platforms use
machine learning to adjust the
curriculum and pace based on a
student's progress and needs. This
ensures that every student gets a
customized education, making learning
more effective and engaging.
Natural Language Processing
A major change in how we interact
with technology has been brought
about by Natural Language Processing
(NLP), a branch of artificial
intelligence. NLP is used by virtual
assistants like Siri and Alexa to
comprehend spoken language and
provide responses. It is used by
chatbots to converse with users,
whether it is to answer questions from
customers or to provide information.
Challenges and Ethical
Considerations
Though AI and machine learning has
huge potential, there are still issues to
be resolved. The possibility of bias in
AI algorithms is a major concern,
along with data privacy and security.
It is essential to make sure that these
technologies are used properly and
ethically as our reliance on them
grows.
Prospects for AI and Machine
Learning
Even more promise exists for machine
learning and AI in the future. More
complex applications in fields like
natural language understanding,
robotics, and healthcare are likely as
deep learning, neural networks, and
reinforcement learning continue to
progress. Additionally, AI is
advancing the capabilities of robots in
the creative industries, such as music
and art.
Conclusion
AI and machine learning are
fundamentally altering industries and
our planet. These innovations are
boosting output, personalising user
experiences, and resolving difficult
issues that were previously
intractable. To create a future in
which technology truly benefits all of
mankind, it is critical that we embrace
the opportunities that AI and machine
learning provide while also
addressing the concerns. The potential
is endless, and as we keep innovating,
we open up a universe of
opportunities that were previously
only possible in science fiction.
October 2023 26

rtificial Intelligence and
AMachine Learning (AI&ML)
are at the forefront of
technological innovation. Rapid
advancements in AI algorithms,
hardware, and software tools have
enabled the development of
increasingly sophisticated applications.
To keep up with these advancements,
educational programs need to evolve to
teach the latest AI and ML techniques
and technologies.
Keeping this in mind, The NorthCap
University's educational programs
have a specialized focus on Artificial
Intelligence and Machine Learning
(AI&ML).
The NorthCap University, located in
Gurugram, boasts a dynamic
Department of Computer Science and
Engineering (CSE) that offers an
undergraduate program, B.Tech in
Computer Science and Engineering.
This specialized four-year program
equips students with fundamental
computer science skills while
immersing them in cutting-edge
advancements in AI and ML. In
addition to the undergraduate program,
the department offers M.Tech and
Ph.D. programs in the domains of AI
and ML, ensuring a comprehensive
educational pathway for aspiring
engineers.
The Department of Computer Science
and Engineering at NorthCap
University provides B.Tech CSE with a
specialization in Artificial Intelligence
and Machine Learning. Students
develop all core computer science
competencies, and alongside that, the
Artificial Intelligence and Machine
Learning (AI&ML) specialization
provides aspiring engineers an
opportunity to study a specialized
range of courses designed to explore
cutting-edge advancements in the
broad domains of Artificial Intelligence
and Machine Learning.
Creating Solutions with
Technological Education
The four-year full-time program
presents exposure to hands-on
technologies to create applications and
solutions for the world.
Apart from this, the department also
offers M.Tech and Ph.D. programs in
the domains of Artificial Intelligence
and Machine Learning.
Prof. Nupur Prakash has been
serving the NorthCap University
Gurugram as Vice Chancellor since
July 2021, after completing her term as
founder Vice Chancellor of Delhi’s first
women’s technical University, Indira
Gandhi Delhi Technical University for
Women (Govt. of Delhi).
A strong proponent of STEM
education among girls, Prof. Nupur
spent several years holding key
leadership positions as an academic
leader, researcher, and institution
builder. She has served as a Scientist at
CSIO Chandigarh (a CSIR lab), Dean
Engg & Technology, Dean of the
School of IT at GGS Indraprastha
University, and Principal Indira Gandhi
Institute of Technology, Govt. of Delhi.
Prof. Nupur Prakash possesses work
experience of around 37 years in
teaching, research, and administration.
She graduated from IIT Roorkee
(erstwhile University of Roorkee) with
a degree in B.E. (Electronics &
Communication Engineering) and
M.E. (Computer Science &
Technology) from IIT Roorkee. She
was awarded with the Chancellor’s
Medal for being the best student of the
outgoing batch. She holds a Ph.D.
degree in Artificial Intelligence from
Punjab University, Chandigarh.
Prof. Rita Chhikara is currently
working as the Head and Professor of
The
NorthCap
University
Ensuring a Comprehensive Educa onal
Pathway for Aspiring Engineers
October 2023 28

the Department of CSE. A target-
driven, dedicated professional with
more than 22 years of experience in
teaching, administration, and research.
She holds a B.E Degree from Pune
University, M.Tech from Punjab
Technical University, and Ph.D.
Degree from The NorthCap University
in the area of Machine Learning and
Information Security.
She is an EICT and IIT Roorkee
Certiﬁed Data Science Professional.
She has completed two DST-sponsored
projects in the area of Steganalysis and
Dementia. Her dedication and
commitment have contributed to the
successful implementation of
Specializations in emerging areas in
the Department.
Providing Hands-On Exposure
The framework of the B.Tech CSE
program is designed in such a manner
that all the specialization courses have
a mini-project mapped with them to
provide hands-on exposure. These
projects bridge the gap between theory
and real-world application. For the 3rd
year students, the university provides a
semester-long industry-mentored
project program wherein student
groups working on projects are guided
by industry experts and have
fortnightly meetings with industry
experts.
Through these projects, students get
the opportunity to work on real-world
scenarios, tackle complex problems,
and gain hands-on experience.
Working closely with experienced
mentors from the industry exposes the
students to the latest trends, best
practices, and innovative techniques.
The university has MOUs with several
We have strong es
with industry, and
industry profession-
als o en visit the
campus and interact
with faculty and
students through
which we gain
valuable insights
related to the latest
industry trends in AI
and ML.
“
“
29

renowned organizations like the
National Technical Research
Organisation (NTRO), Grant Thorton,
etc.
Ensuring Practical Exposure
Domain experts from these
organizations regularly visit the
campus to deliver lectures and interact
with and guide the students. Apart
from this, the students gain practical
exposure through summer internships
at the end of the fourth and sixth
semesters. These internships help
students gain new skills and deepen
their knowledge by applying their
classroom learnings in simulations of
real-life technology projects from the
industry.
Artificial Intelligence no longer lives in
the realm of fiction movies. Rather, it
has slowly crept its way into the lives
of common people and is transforming
the world. Multiple breakthrough AI
technologies have been developed for
image identification, speech
recognition, text-to-speech, and
chatbot engines and have made
significant contributions to a wide
range of domains.
Incorporating Innovative Ways of
Learning
The faculty and students at The
NorthCap University are also
undertaking several different projects
related to AIML. A few of them
include- Robust and Accurate detection
of Attention Deficit Hyperactivity
Disorder (ADHD) using deep learning,
Universal Steganalysis using Machine
Learning, multimodal sentiment
analysis and affect analysis using
social media, AI-powered Legal
Documentation Assistant using
Transformers and Large Language
Models, Artificial Intelligence based
virtual reality therapy system, Smart
Aquaculture Analyser using
Reinforcement Learning, Android
Malware Analysis using Machine
Learning, System for automated skin
care using Deep Transfer Learning and
IoT, etc. Few of the projects are
sponsored by Government agencies.
Furthermore, the university also
organizes several guest lectures,
competitions, and hackathons related
to the fields of Artificial Intelligence
and Machine Learning to ensure
experiential learning. In Feb’2023, the
university organized an International
Idea Startup Competition in which
students from the university competed
and participated with international
Prof. Nupur Prakash
Vice Chancellor
October 2023 30

student teams that visited the campus,
such as those from Ecuador, Indonesia,
etc.
Enhancing the Employability
The university has a centre of
Excellence for Data Science and AI
facilitated with ultra-modern iMac
systems appropriate for students and
faculty undertaking research in
emerging areas like Artificial
Intelligence, Deep Learning, Game
development, etc. This centre also
offers value-added programs & training
for enhancing the employability of
students as per the latest requirements
of the industry in the domains of Data
Science and Artificial Intelligence. It
aims to provide an ecosystem for
innovation and entrepreneurship to
thrive. The university also has a
dedicated GPU-based lab for deep
learning applications established as the
Centre of Excellence with Honeywell.
Furthermore, the High-Performance
Computing Lab has also been
established with one teraflop
computing power.
There are specialized research groups
under AIML catering to the domains of
Natural Language Processing,
Computer Visions, and Robotics. These
groups comprise a few faculty
members with expertise in that domain,
Ph.D. scholars/Masters students, and
some undergraduate students having
AIML as their specialization.
The university has alumni placed with
Amazon, Google, eBay, Danalitics,
Fidelity, Optum, etc., working in the
area of Artificial Intelligence and
Machine Learning. A few of its alumni
are doing their masters in the area of
AI and ML from reputed universities
like Stanford, Carnegie Mellon
University, IIT, NYU, etc. They are
also placed in Government
organizations like DRDO, NBRC,
NTRO, etc., and contributing
immensely to the emerging area of AI
and ML.
Gaining Exposure of the Latest
Developments
The university has strong ties with
industry, and industry professionals
often visit the campus and interact with
faculty and students through which the
university gains valuable insights
related to the latest industry trends in
AI and ML. The curriculum is also
vetted from time to time by domain
experts from industry and academia to
ensure it is in sync with the latest
industry trends. Faculty members and
students also undertake specialized
research in the field of AIML and
regularly attend conferences and
seminars to present their work as well
as gain exposure to the latest
developments.
Online resources, including academic
papers, online courses, and video
lectures, make it possible for the
faculty and students to stay abreast
with the latest technologies. In
addition, the university often seeks
valuable feedback on the relevance of
the curriculum from its alumni who are
now working in the industry in the
domains of artificial intelligence and
machine learning.
To help students launch their careers
and achieve their professional goals,
the university has launched the SCALE
framework - SoftSkills Communication
and Language Enhancement
(SCALE) for all the students to provide
invaluable support in their placement
endeavours, foster personal
growth, and help them achieve
tremendous success in their
professional journey.
Prof. Rita Chhikara
Head, Dept. of CSE
31

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