Mechanistic Interpretability FDP 2026 and MMMUT Gorakhpur (Jan 19, 2026)

The Mechanistic Interpretability FDP 2026 MMMUT Gorakhpur offers a prestigious opportunity for educators and researchers to master the hidden mathematical sciences governing modern AI models. This six-day ATAL Online Faculty Development Programme specifically focuses on the critical need for transparency in neural networks. Consequently, it ensures that advanced AI systems remain safe, aligned, and trustworthy. Specifically, participants will dive deep into the computational mechanisms and representations learned by complex models. Furthermore, the curriculum moves beyond traditional “black box” interpretations to provide a granular understanding of AI behavior.

Program Highlights

Feature	Details
Program Title	Advanced Deep Dive into the Hidden Mathematical Science of Mechanistic Interpretability
Organizing Institution	Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur
Department	Computer Science & Engineering
Dates & Duration	Jan 19 – 24, 2026 (6 Days)
Mode of Delivery	Online (Evening Sessions)
Daily Schedule	6:00 PM to 9:30 PM (Varies by day)
Thrust Area	Engineering and Management

Program Overview

The primary objective of this faculty development program is to provide a comprehensive exploration of mechanistic interpretability. In addition, this specialized area of AI research is dedicated to uncovering how neural networks process information at a granular level. As AI systems evolve, gaining transparency into decision-making processes becomes essential for safety and alignment.

Consequently, the program presents state-of-the-art research and innovative methodologies. It highlights the transition from post-hoc explanations to reverse-engineering models. Furthermore, this approach allows for more controllable AI governance. In addition to these core concepts, the curriculum emphasizes scalability, addressing the challenges of interpreting large language models (LLMs) and vision systems.

Eligibility Criteria

The program is designed for a specific academic and professional audience. Accordingly, the following groups are eligible to apply:

• Faculty members from AICTE-approved institutions.
• Research Scholars and PG Scholars.
• Industry Personnel seeking expertise in AI safety and interpretability.

Curriculum & Topics Covered

The FDP is structured into 12 intensive sessions covering theoretical foundations and practical tools. Specifically, the modules include:

• Foundations: Linear Algebra, Calculus, and Probability in AI Models.
• Neural Analysis: Visualization of Neural Activations and Attribution Techniques.
• Model Architecture: Mechanistic analysis of Transformers and Attention Heads.
• Advanced Tools: Discovering circuits in LLMs and Sparse Coding methods.
• Specialized AI: Interpretability in Federated Learning and Privacy-Preserving AI.
• Reasoning: Neurosymbolic Reasoning and Interpretable Logic Layers.
• Ethics & Trends: Global trends in research, AI ethics, and responsible systems.

Resource Persons

The program features a global panel of experts from academia and industry. Therefore, participants will learn from:

• Prof. Raguraj Singh: Professor, HBTU-Kanpur (30+ years experience).
• Mr. Venkata Desai: Senior Specialist, Microsoft Japan (18+ years experience).
• Mr. Nagendra Sharma: Senior Director, Capgemini, North America (22+ years experience).
• Dr. Sonali Agarwal: Associate Professor, IIIT-Allahabad.
• Mr. Harish Singh: Senior Manager, Accenture, Redmond, USA.
• Prof. Dimitrios A. Karras: Professor, NKUA, Athens, Greece.
• Prof. Fadi Al-Turjman: Director, Near East University, Turkey.

Learning Outcomes

By the end of this programme, participants will be able to:

• Apply rigorous mathematical analysis to mechanistic interpretability concepts.
• Specifically utilize automated feature extraction and circuit analysis tools.
• Implement strategies to align AI behavior with human values and safety standards.
• Furthermore, navigate the socio-technical challenges and ethical concerns in AI deployment.

Certification & Assessment

To receive the participation certificate, candidates must meet the following requirements. Specifically:

• Registration: Must be registered on the official ATAL portal.
• Attendance: Regular attendance in evening sessions is mandatory.
• Assessment: Successful completion of the Online Test and Feedback session on the final day.
• Authority: Certificates are issued via the AICTE ATAL Academy.

Registration Details

Requirement	Information
Registration Portal	click here
Registration Fee	No Participation Fees (Free)
Selection Basis	First Come, First Served
Start Date	January 19, 2026
End Date	January 24, 2026
Official Website	click here
Schedule Link	Download
Brochure Link	Download

Contact Information

For any queries regarding the application process or technical details, please contact the organizing team:

• Coordinator: Dr. Satya Prakash Yadav (Associate Professor, CSE)
  • Email: spycs@mmmut.ac.in | Mob: +91-7678647454
• Co-coordinator: Dr. Shwet Ketu (Assistant Professor, CSE)
  • Email: skcse@mmmut.ac.in | Mob: +91-8175848784
• Institution: Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, India.

Key Highlights

This FDP stands out due to its focus on AI Safety and Alignment. Therefore, it moves beyond simple visualization to deep “circuit analysis” of models. Furthermore, the collaboration with experts from Microsoft Japan, Accenture USA, and Capgemini North America ensures that participants gain industry-relevant insights. In addition, the evening schedule allows for maximum flexibility for academic professionals.

Frequently Asked Questions (FAQs)

What is the focus of the Mechanistic Interpretability FDP 2026 MMMUT Gorakhpur?
The program specifically focuses on reverse-engineering neural networks to understand their internal computational mechanisms, targeting AI safety and mathematical foundations.

Is there any registration fee for this ATAL FDP?
No, there are no participation fees collected for this online faculty development programme; consequently, it is free for eligible candidates.

Who is eligible to attend this session?
Faculty members, PG scholars, research scholars from AICTE-approved institutions, and industry professionals are eligible to apply.

Will the sessions be held during working hours?
No, the sessions are scheduled for the evening to accommodate the schedules of working faculty and professionals.

How will I receive my certificate?
Certificates will be issued through the ATAL portal to registered participants who complete the mandatory attendance and final online assessment.