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About

The AICTE Training and Learning (ATAL) Faculty Development Programme (FDP) titled “MATH-ML: Mathematical Foundations and Techniques for Machine Learning and Interdisciplinary Applications” is a six-day offline programme organized by the Department of Science & Humanities (Mathematics), Amrita Vishwa Vidyapeetham, Chennai Campus. Scheduled from 17–22 August 2026, the programme is designed to strengthen the mathematical foundations required for modern machine learning while exploring their applications across diverse interdisciplinary domains.

The FDP aims to bridge the gap between theoretical mathematics and practical machine learning by providing participants with a comprehensive understanding of essential mathematical concepts, algorithms, and computational techniques. Through expert lectures, interactive discussions, and application-oriented sessions, participants will gain valuable insights into how mathematical principles drive intelligent systems and data-driven decision-making.

Objectives

To provide a strong foundation in Mathematical concepts underlying
Machine Learning, including Linear Algebra, Discrete Mathematics
Probability, Statistics and Optimization
To bridge the gap between theoretical mathematics and practical
Machine Learning applications in real-world scenarios
To introduce participants to core Machine Learning algorithms and
their mathematical formulations
To explore interdisciplinary applications of Machine Learning in
domains such as healthcare, engineering and Data Science
To develop participants ability to analyze, model and solve
real-world problems using mathematical and computational
techniques
To encourage research, innovation and collaboration in emerging
areas of Artificial Intelligence, Data Science and Mathematical
Modeling

OUTCOMES

  • Gain a comprehensive understanding of the mathematical foundations of Machine Learning and appreciate their significance in developing intelligent systems
  • Apply concepts from Linear Algebra, Probability, and Optimization to design and analyze Machine Learning models
  • Develop practical skills to implement fundamental Machine Learning algorithms using computational tools and programming platforms
  • Analyze and solve real-world interdisciplinary problems through data-driven Machine Learning approaches
  • Strengthen the ability to interpret contemporary research, evaluate emerging trends, and identify future directions in Artificial Intelligence and Machine Learning
  • Build the confidence and motivation to undertake research, publish scholarly articles, and integrate Machine Learning concepts into teaching, research, and professional applications

WHO CAN ATTEND

  • Faculty members from Mathematics, Computer Science, Artificial Intelligence, Data Science and related disciplines
  • Research scholars (Ph.D./PG) working in Machine Learning, Data Science and Mathematical Modeling
  • Industry professionals interested in Artificial Intelligence, Machine Learning and interdisciplinary applications
  • Participants from AICTE-approved institutions and universities with an interest in advanced computing and Machine Learning
  • The programme encourages participation from both academia and industry to promote collaborative learning

Committee

Dean, School of Engineering, Amrita Vishwa Vidyapeetham

Manikantan-I.-B.-campus-director-chennai.jpg

Campus Director
Amrita Vishwa Vidyapeetham, Chennai

Principal Amrita Vishwa Vidyapeetham, Chennai

Associate Professor & Chairperson, Department of Mathematics
Amrita Vishwa Vidyapeetham, Chennai

Assistant Professor, Department of Mathematics
Amrita Vishwa Vidyapeetham, Chennai

Assistant Professor (Sr. Gd.), Department of Science & Humanities (Mathematics), School of Engineering, Chennai

Assistant Professor, Department of Science and Humanities (Mathematics), School of Engineering, Chennai

Assistant Professor, Department of Science and Humanities (Mathematics), School of Engineering, Chennai

Assistant Professor, Mathematics, Department of Science & Humanities, School of Engineering, Chennai

Assistant Professor, Department of Science and Humanities, School of Engineering, Chennai

Scientist-F & Head, Department of Statistics
ICMR-NIRT, Chennai, Govt. of India

Associate Professor &Chairperson
Amrita School of Computing, Chennai

Senior Scientist
Head, Artificial Intelligence Applications
NPCIL-BARC
Department of Atomic Energy

Assistant Professor
Department of Mathematics, IIITD-Kanchipuram, Chennai

Associate Professor
Applied Statistics Unit Indian Statistical Institute Chennai

Outstanding Professor Department of Mathematics
Dean (Student Activities, Student Welfare & Outreach)
Indian Institute of Space Science and Technology
Department of Space
Thiruvananthapuram

Associate Professor
Department of Mathematics
BITS Pilani
Hyderabad Campus

Senior Technical Manager
HCL Tech-Chennai

important dates

  • Last Date for Receipt of Applications:13.08.2026
  • Confirmation of Participants:14.08.2026

Registration

Participants can dign up & register for the program through the AICTE ATAL Portal : https://atalacademy.aicte.gov.in/

No Registration Fee

About Department of Science & Humanities

The Department of Science & Humanities at Amrita Vishwa Vidyapeetham, Chennai Campus forms the academic backbone for Engineering and Research programmes, serving as the foundation for B.Tech., M.Tech., and Ph.D. programmes.

The department comprises four key divisions:

  • Division of Mathematics
  • Foreign & English Language Centre
  • Division of Chemistry
  • Division of Physics

The department equips students with strong analytical, computational, and communication skills while promoting innovation in Artificial Intelligence, Robotics, Smart Infrastructure, Data Analytics, Embedded Systems, VLSI Design, Signal Processing, Cyber Security, and Next-Generation Communication Technologies.

Know More

About Department of Science & Humanities

CONTACT US

Dr. Soumyendra Singh
Amrita Vishwa Vidyapeetham, Chennai Campus
Amrita Vishwa Vidyapeetham
337/1A, Vallal RCK Nagar
SH 50A, Vengal, Tamil Nadu – 601103
Email: s_soumyendra@ch.amrita.edu
Mobile: +91 99411 35577 / +91 74379 16932

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