EVENT TITLE: Poster Contest on “Equations to Emotion: Math’s Behind AI, ML and Robotics”

DATE: 09-09-2025

TIME: One day – 9.00 a.m to 11.00 a.m

VENUE:  Block – V

EVENT CONVENER: Dr. A. Savitha Mary,  Assistant Professor, Department of the Mathematics, SRM Institute of Science and Technology, Ramapuram, Chennai – 89.

EVENT ORGANIZER: Dr. T. Harikrishnan, HOD i/c, Department of the Mathematics, SRM Institute of  Science and Technology, Ramapuram, Chennai – 89.

SUMMARY OF THE EVENT:

The Faculty of Science and Humanities, Department of Mathematics, SRM Institute of Science and Technology, Ramapuram, is organizing a Poster Contest on “Equations to Emotion: Math’s Behind AI, ML and Robotics” for I B.Sc Computer Science students on 09 September 2025 at Block V. The contest was conducted exclusively for First-Year B.Sc. Computer Science students with the objective of encouraging creativity, analytical thinking, and interdisciplinary learning.

The event aimed to highlight the crucial role of mathematics as the foundation of emerging technologies such as Artificial Intelligence, Machine Learning, and Robotics. Students expressed their ideas through visually appealing posters, integrating mathematical concepts with real-world applications in modern technology. A large number of participants actively showcased their innovative perspectives, and their posters reflected originality, clarity of concepts, and artistic presentation. The contest not only enhanced students’ understanding of mathematical applications but also improved their presentation and communication skills.

The event concluded successfully with active involvement from students and faculty members, making it an engaging platform for learning and creativity.

A total of 12 teams, with 3 members in each team, participated enthusiastically in the contest. The posters showcased innovative ideas, integrating mathematical concepts with Artificial Intelligence, Machine Learning, and Robotics, highlighting the connection between abstract equations and real-world applications.

The contest was evaluated by a panel of two distinguished judges, who assessed the posters based on originality, clarity of mathematical concepts, creativity, and presentation skills.

1.       Mrs. Linda Joel, Assistant Professor, Department Mathematics, FSH,SRMIST

2.       Dr. C. Kayelvizhi, Assistant Professor, Department Mathematics, FSH,SRMIST

The event was highly interactive, with students demonstrating strong teamwork and communication skills. The participation reflected their innovative perspectives and deepened their appreciation of the role of mathematics in modern technology.

Best Presentation Appreciation:

The Department of Mathematics proudly appreciates the Best Presentation Team of the Poster Contest. The team impressed the judges with their clarity of concepts; creativity, teamwork, and impactful delivery, making their presentation stand out among all participants. Their work not only highlighted the mathematical foundations behind AI, ML, and Robotics** but also demonstrated excellent communication skills and innovative thinking, serving as an inspiration to their peers.

The Department congratulates the best presenters and encourages them to continue their pursuit of academic excellence, innovation, and leadership Team 1: S. Srivarshan ,S.  Aswin , B. Muthish Kumar, Team 2: Kirtana, Lakshsha, Team 3: K. Sethuraman, R. Dharshan, M. Adithityan

The program concluded successfully with positive feedback from both students and faculty, making it a valuable platform for academic enrichment and creative expression. The event is being organized under the leadership of Dr. T. Harikrishnan, Head of the Department (i/c), with administrative support from the Vice Principal and the Dean of Science and Humanities.

Key Highlights:

  • Linear Algebra: Forms the backbone of AI and ML through vectors, matrices, and tensors used in image recognition, neural networks, and robotics kinematics.
  • Calculus: Essential for optimization in training ML models, backpropagation in neural networks, and motion planning in robotics.
  • Probability & Statistics: Crucial for predictive modeling, uncertainty handling, decision-making, and pattern recognition in intelligent systems.
  • Discrete Mathematics: Supports algorithm design, graph theory applications, logical reasoning, and data structuring for AI systems.
  • Optimization Techniques: Widely applied in tuning model parameters, reducing errors, and improving efficiency in machine learning and robotic path planning.
  • Differential Equations: Used to model dynamic systems and control mechanisms in robotics and autonomous systems.
  • Geometry & Trigonometry: Play a key role in 3D vision, computer graphics, robotic navigation, and spatial understanding.
  • Mathematical Modeling: Bridges abstract equations with real-world applications, enabling machines to learn, adapt, and interact intelligently.

OUTCOMES OF THE PROGRAM :(Based of SDG)

SDG 4 (Quality Education):

  • Enhancing Learning Outcomes: Encouraged students to connect mathematical theories with emerging technologies, thereby deepening conceptual understanding.
  • Promoting Creativity & Critical Thinking: Provided a platform for students to think innovatively, develop problem-solving skills, and present ideas effectively.
  • Inclusive & Equitable Participation: All I B.Sc Computer Science students were given the opportunity to participate, ensuring wide academic engagement.
  • Skill Development: Strengthened communication, teamwork, analytical reasoning, and presentation abilities essential 21st-century skills.
  • Bridging Theory with Practice: Empowered students to see how mathematics is not just abstract but a practical foundation for AI, ML, and Robotics, connecting classroom knowledge with real-world applications.

SDG 8 (Decent Work and Economic Growth):

  • Building Future-Ready Skills: Equipped students with knowledge of how mathematics underpins AI, ML, and Robotics, fields driving future job markets.
  • Promoting Innovation for Employability: Encouraged creative and analytical thinking, which are vital for careers in technology and research.
  • Strengthening Human Capital: Contributed to the development of a skilled and adaptable workforce** prepared for evolving economic demands.

This event thus contributed to nurturing skilled individuals capable of driving sustainable economic growth and productive employment in alignment with SDG 8.

SDG 9 (Industry, Innovation, and Infrastructure):

  • Fostering Innovation: Encouraged students to apply mathematical concepts to AI, ML, and Robotics, inspiring innovative solutions for real-world technological challenges.
  • Strengthening Future Workforce for Industry 4.0: Prepared students with foundational knowledge and creative thinking skills required for industries driven by automation, data, and intelligent systems.
  • Linking Academia with Technological Infrastructure: Highlighted the role of mathematics as the backbone of advanced technologies, bridging academic learning with industry-oriented applications.

SDG 11 (Sustainable Cities and Communities):

  • Promoting Smart Solutions: Showcased how mathematical models in AI, ML, and Robotics can contribute to smart cities, efficient transport, and sustainable community planning.
  • Encouraging Responsible Innovation: Inspired students to think about how technology can be applied ethically for safer, inclusive, and resilient communities.
  • Building Awareness of Sustainability: Connected mathematical learning with real-world applications that support sustainable urban growth, renewable energy, and better resource management.