News and Events

Date: 10th – 14th August 2026
Time: 9:00 AM – 4:00 PM
Venue: 1st Floor Seminar Hall, Dr. ACS College of Engineering
Organized By: Department of CSE-IoT & AIML
In Association With: IEEE Student Branch
Registration Fee : ₹500/-
Dr. ACS College of Engineering, through the Department of CSE-IoT & AIML, in association with the IEEE Student Branch, is organizing a 5-Day Faculty Development Program (FDP) on “AI-ML & Emerging Technologies” from 10th to 14th August 2026.
The Faculty Development Program aims to empower faculty members, research scholars, postgraduate students, and industry professionals with the latest advancements in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, Large Language Models (LLMs), Explainable AI, AI Ethics, and other emerging technologies through expert lectures, hands-on sessions, industry case studies, coding exercises, and research discussions.
Eligibility • Faculty Members of AICTE-approved Institutions and Universities • Research Scholars • PG Students • Industry Professionals • Engineers from R&D Labs

Day 1 – 10/08/2026

Program: 5-Day Faculty Development Program on “AI-ML & Emerging Technologies”
Dates: 10th to 14th August 2026
Day 1: 10th August 2026
Organized by: Department of CSE-IoT & AIML, in association with IEEE Student Branch
Venue: 1st Floor Seminar Hall, Dr. ACS College of Engineering
Day 1 Resource Person: Ms. Shwetha N
Team Leader | AI Intelligence Automation Specialist | Corporate Trainer
Opteamix India Business Solutions Pvt. Ltd., Bengaluru
Day 1 Session – Key Takeaways:

• Explored the foundations of Artificial Intelligence, including its history, evolution, core concepts, and the modern AI landscape.
• Strengthened understanding of Machine Learning fundamentals through supervised, unsupervised, and reinforcement learning.
• Bridged theory with practice by exploring real-world applications and use cases of AI and ML.
• Gained hands-on experience with Python and Scikit-learn by building and training a first ML model.
• Enhanced practical AI/ML skills through an interactive lab session focused on implementing and understanding ML workflows.

Day 2 – 11/08/2026

Day 2 – Foundations of AI & Machine Learning
Date: 11th August 2026
Resource Person: Mr. Vishwanath Modi
Proud Alumnus of RRCE – 2012 Batch
Session 1 – Foundations of Artificial Intelligence
The session covered:

• AI fundamentals and history of AI
• AI vs. ML vs. Deep Learning
• Types of AI – ANI, AGI and ASI
• AI domains including NLP, Computer Vision and Robotics
• Applications of AI
• AI Ethics
• Live Demo: AI Chat Assistant using React, Express and Gemini/OpenAI API, demonstrating how prompts are sent to an LLM and how responses are rendered in a React application.

Session 2 – Machine Learning Fundamentals
The session covered:

• Supervised, Unsupervised and Reinforcement Learning
• Machine Learning workflow
• Model training
• Evaluation metrics
• Live Demo: Student Performance Prediction System using React, Express, MongoDB and TensorFlow.js/Hugging Face Inference API, including pass/fail prediction based on attendance and marks and storage of prediction history.

Session 3 – Hands-on Lab: AI-Powered MERN Applications
Participants gained practical experience through:

• Project 1: AI Chat Assistant using Gemini/OpenAI
• Project 2: Student Prediction Dashboard using TensorFlow.js/Hugging Face
• Project 3: AI Image Classification using TensorFlow.js MobileNet/Hugging Face Vision Model
• Integration of AI APIs with React, Express, MongoDB and Axios

The Day 2 session successfully combined AI/ML concepts, live demonstrations, and hands-on implementation, enabling participants to gain practical exposure to developing AI-powered applications

Day 3 – 12/08/2026

Day 3 – Deep Learning & Neural Networks
Date: 12th August 2026
Resource Person: Mr. Vishwanath Modi
Proud Alumnus of RRCE – 2012 Batch
Session 1 – Deep Learning & Neural Networks
The session covered:

• Artificial Neural Networks (ANN)
• Perceptron and Activation Functions
• Feed Forward Networks
• Backpropagation
• Convolutional Neural Networks (CNN)
• Recurrent Neural Networks (RNN)
• Transfer Learning
• Live Demo: AI Image Classification using React, Express and TensorFlow.js MobileNet, where participants uploaded images and received predicted labels with confidence scores.

Session 2 – Computer Vision & Deep Learning Applications
The session covered:

• Image Classification
• Object Detection
• Optical Character Recognition (OCR)
• Face Recognition
• Image Segmentation
• Transfer Learning
• Live Demo: Smart Image Analyzer using the Hugging Face Vision API for image captioning and object detection, generating AI-based captions, detected objects and confidence scores.

Session 3 – Hands-on Lab: AI-Powered Vision Applications
Participants gained practical experience through:

• Project 1: Image Classification using TensorFlow.js MobileNet
• Project 2: AI Image Caption Generator using the Hugging Face BLIP Model
• Project 3: Face Detection using TensorFlow.js BlazeFace or MediaPipe Face Detection
• Integration of React, Express, MongoDB and AI models to store prediction history and display results

The Day 3 session provided participants with in-depth knowledge of deep learning, neural networks and computer vision, along with practical hands-on experience in developing AI-powered vision applications.

Day 4 & 5

Dr. ACS College of Engineering (Dr. ACSCE), in association with the IEEE Student Branch, successfully conducted a 5-Day Faculty Development Program (FDP) on “AI–ML & Emerging Technologies” from 10th to 14th August 2026.
Organized by the Department of CSE – IoT & AI/ML, the FDP provided faculty members with valuable insights into Artificial Intelligence, Machine Learning, and emerging technologies, enhancing their knowledge and equipping them with future-ready skills.
The program featured sessions by industry experts, including Ms. Shwetha N – Team Leader, Opteamix India Business Solutions Pvt. Ltd.; Mr. Tejeshwara B M – Data Scientist, Mercedes-Benz Research & Development India; and Mr. Vishwanath Modi – Senior Corporate Trainer & AI/Emerging Technologies Trainer, Bitstreamlo Technologies.
The five-day program offered an enriching platform for knowledge sharing, professional development, technology awareness, and industry-academia learning, empowering faculty members to integrate emerging technologies into teaching and academic practices.

Day 4
Day 5