FIT CSE AIML

03/02/2026

03/02/2026

"Statistical Machine Learning"
Date: September 15, 2025
Venue: Future Institute of Technology
Organized by: Department of CSE-AIML, in association with Institution’s Innovation Council (IIC)
Guest Speaker: Aritra Raut (Consultant – Fraud Risk Modelling, EXL; Ex-Data Scientist, AHFL)
Introduction
A one-day workshop on “Statistical Machine Learning” was organized by the Department of CSE-AIML in association with the Institution’s Innovation Council (IIC), as part of the institute's 25th anniversary celebrations. The event aimed to foster awareness and practical knowledge among students about key statistical techniques used in machine learning.

The workshop witnessed a total of 100 participants:
- 96 students
- 2 faculty members from Future Institute of Engineering
- 2 faculty members from other departments of Future Institute of Technology
Objective
The workshop was designed to:
- Introduce participants to modern concepts in statistical machine learning.
- Provide hands-on exposure to real-world machine learning applications.
- Facilitate networking and knowledge-sharing between students and experts.
Workshop Outline
Time
Activity
10:30am–11:30am
Session 1: Seminar Lecture on Statistical Machine Learning
11:30am–11:45am
Tea Break
11:45am–12:45pm
Session 2: Advanced Topics
12:45pm–1:45pm
Lunch Break
2:00pm–4:30pm
Hands-on Session
4:30pm–5:00pm
Closing Ceremony

Sessions Summary
Session1:
The workshop began with a seminar delivered by Mr. Aritra Raut, focusing on foundational and advanced topics in statistical machine learning. The seminar covered essential tools and algorithms, use cases in fraud risk modelling, and insights from industry projects.

Session2:
Participants engaged in a practical hands-on segment, where they explored real-world data science problems under expert supervision.
Seminar Kit
Each registered participant received:
- Pen and pad
- Lunch and tea coupon
- Printed seminar outline
- Participation certificate

11/09/2025

Exciting News!
We are delighted to present our Departmental Newsletter for the month of June 2025, a glimpse into the achievements, activities, and innovations of our department. From student success stories to faculty research highlights, this newsletter celebrates our collective growth and learning journey.

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