Dr.Thamba Meshach W: Head of the
Department, Department of Computer Science and Engineering, Prathyusha
Engineering College, Thiruvallur, Chennai, Tamil Nadu, India
Hi everyone!
I am Dr. ThambaMeshach W., an enthusiastic and dedicated professor with a passion for
inspiring minds and fostering a love for learning. And living in a peaceful and
highly cultured state—Tamil Nadu (Chennai), the southern part of India. With a
diverse academic background and extensive teaching experience, I am thrilled to
embark on a journey of intellectual exploration alongside my students.
My educational journey
began with a Bachelor's degree - B.Tech. in Information technology. This
foundation sparked my curiosity, leading me to pursue a Master's degree—M.Tech.
in Information Technology. My thirst for knowledge and desire to contribute to
the field led me to obtain a Ph.D. in Information and Communication
Engineering, specialising in Affective Computing with Machine Learning, from a
prestigious institution, Anna University, Chennai.
This educational
journey, specifically my research work in affective (Emotions) computing, has
shaped my teaching philosophy, which revolves around creating engaging,
interactive, and student-centred learning experiences.
Beyond academia, I am
an advocate for community engagement and lifelong learning. I believe in
nurturing a supportive and inclusive learning environment where every voice is
heard and respected. As a mentor, I take great pride in guiding my students'
academic and personal growth and helping them navigate their unique paths
towards success.
In my spare time, I enjoy exploring the outdoors, indulging in social service, creative writing, and engaging in thought-provoking discussions with colleagues and friends. I am excited to embark on this academic journey together as we explore the boundless horizons of knowledge and embark on a transformative learning experience.
Empowering my students
through critical thinking
I have 21 years of
teaching experience at Engineering institutions. I have had the privilege of
teaching a wide range of courses, from introductions to computer technology and
computer programming to advanced Computer Science Engineering courses. I am a
firm believer in fostering critical thinking, promoting active class
participation, and tailoring my teaching methods to accommodate various
learning styles. Whether it's through thought-provoking discussions, hands-on
experiments, or collaborative projects, I am committed to empowering my
students to think beyond the confines of textbooks and develop a holistic
understanding of the subject matter.
Job duties and
responsibilities as an HOD of the Computer Science Engineering department
As a Head of the
Department (HoD) of the Computer Science Engineering department and also as a
faculty member – Associate Professor; my role encompasses a diverse range of
duties and responsibilities aimed at imparting knowledge, fostering critical
thinking, and contributing to the advancement and administration of the department.
Here are some key job
duties and responsibilities:
Teaching :
- Prepare and deliver lectures, labs, and workshops on
engineering topics.
- Design and update course syllabi, lesson plans, and
instructional materials.
- Develop innovative teaching methods and materials to
enhance student engagement and understanding.
- Assess student performance through assignments, exams,
projects, and presentations.
- Provide timely feedback and guidance to students to
support their academic progress.
Mentoring :
- Mentor undergraduate and graduate students in their
academic and career pursuits.
- Provide guidance on research projects, thesis or
dissertation work, and career paths.
- Assist students in selecting appropriate courses,
internships, and extracurricular activities.
- Offer advice on post-graduation options and facilitate
networking opportunities.
Industry
Collaboration:
- Foster connections with industry professionals and
organisations.
- Collaborate on research projects, internships,
Consultancy work, industry-oriented trainings, Faculty development
programmes, workshops, and establishing COEs.
- Stay updated on industry trends, emerging technologies,
and real-world applications.
Committee
Participation:
- Serve on academic committees, such as curriculum committees,
accreditation bodies, and research committees, the Industry Institute
partnership cell, and student chapters.
- Contribute to departmental and institutional
initiatives, such as programme development, placement, admission, and
strategic planning.
- Participate in faculty meetings, workshops, and
professional development activities.
Research and
Scholarship:
- Conduct cutting-edge research in my specialisations: –
Affective Computing, Computer Vision, NLP, and ML/DL.
- Publish research findings in reputable journals,
conference proceedings, and other scholarly outlets.
- Secure research funding through grants, collaborations,
and partnerships.
- Present research at conferences, seminars, and
workshops to contribute to the academic community.
Administrative
Responsibilities:
- Complete administrative tasks related to the
department, such as course scheduling, grading, record-keeping, and
day-to-day activities.
- Participate in the development of departmental
policies, goals, and strategic plans.
- Collaborate with colleagues on programme assessment,
accreditation, and quality improvement.
Affective Computing –
a bridge between humans and machines
My area of expertise
is Affective Computing, a captivating and multidisciplinary field that merges
computer vision and machine learning to unravel the complexities of human
emotions. It delves into the realm of deciphering emotional states,
expressions, and responses, fostering a bridge between technology and human
interaction. This dynamic domain holds profound implications for diverse
sectors, from healthcare and entertainment to marketing and human-computer
interaction.
Affective computing
revolutionises the way humans interact with machines. Emotion-sensitive
interfaces enable devices to perceive and respond to users' emotions, resulting
in more intuitive and empathetic interactions. It contributes to personalised
education by adapting instructional content to students' emotional states. It
offers real-time feedback on engagement and frustration levels, optimising the
learning process. I have published a good number of articles in reputable
journals and have had the honour of presenting my work at international
conferences, where I engage with fellow academics and exchange insights that
enrich the educational landscape.
Could you please share
about the current generation of students learning process?
The learning process
of the current generation of students is characterised by a unique blend of
traditional educational approaches and modern technological influences. Born
and raised in the digital age, today's students navigate a rapidly evolving
landscape that offers both opportunities and challenges.
Technology plays a central
role in the learning process for today's students. They have grown up in a
digital environment, and their learning experiences often involve digital
devices, online resources, and interactive platforms. From virtual classrooms
to educational apps, technology provides students with access to vast amounts
of information and enables them to engage with learning materials in dynamic
and multimodal content like text, images, videos, audio, and interactive
simulations, which cater to different learning preferences and styles. This
diverse range of resources enhances understanding and retention.
And today’s students
actively participate in their learning process through discussions, group
projects, contests, and hands-on activities. These strategies encourage
critical thinking, problem-solving, and collaboration, fostering a deeper
understanding of the subject matter, which leads to exploring topics beyond the
classroom curriculum, conducting independent research, and engaging in
self-directed learning projects. This autonomy nurtures curiosity and a
lifelong love of learning. Moreover, social media and online collaboration
tools enable students to connect with peers and experts globally.
Collaborative learning
platforms facilitate discussions, knowledge sharing, and joint projects,
creating a sense of community and expanding perspectives. The
interconnectedness of the world is readily apparent to today's students, who
engage in cross-cultural interactions and explore global issues. This exposure
contributes to a broader perspective and fosters a sense of empathy and
understanding.
Alongside the benefits
of technology and innovative learning approaches, students face challenges such
as information overload, digital distractions, and concerns about privacy and
online safety. Developing digital well-being and time management skills is
crucial.
The learning process
for the current generation of students is marked by adaptability,
tech-savvyness, and a proactive approach to knowledge acquisition. As educators
and institutions continue to evolve their teaching methods, it's essential to
harness the strengths of this generation while addressing the unique challenges
they encounter in an increasingly digital and interconnected world.
AI in classroom
learning
AI tools like ChatGPT,
Fetchy, Cognii, etc. have enormous potential to drastically improve our
education system. After the availability of AI tools, there has been a debate
on their benefits and limitations for different people in different dimensions
of space. These technologies will not replace teachers but rather enable them
to spend more time on students’ education. Faculty adaptability to AI in the
classroom is a crucial aspect of successfully integrating AI tools into
education. It needs comprehensive training and professional development
opportunities for educators to learn about AI technology, its benefits, and how
to effectively incorporate AI tools into their teaching methods. Above all,
there are huge benefits to technological advancements, but let us not allow
technology to overpower or reduce the students ability to think and explore
creativity.
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