The Apple iOS Laboratory at the School of Engineering and Technology, Dhanalakshmi Srinivasan Institute of Research and Technology, continued to strengthen students’ practical knowledge and innovation skills in Apple technologies. The laboratory serves as a centre of excellence for developing competencies in Swift programming, Xcode, and iOS application development while promoting industry collaboration, research, and faculty development.
This academic year Apple Swift Programming Certification Initiative, invited all students of the School of Engineering and Technology to enroll in Apple Swift Programming certification courses. Circulate the details related to this course through the circular on 08-07-2025(Wednesday). This course will be commencing on 20-07-2026.
Swift is a modern and powerful programming language developed by Apple for application development. It is mainly used to create applications for iOS, macOS, watchOS, and tvOS. Swift has a simple, safe, and easy-to-understand syntax, making it suitable for beginners. It supports modern programming concepts such as object-oriented programming, optionals, closures, and protocols. Swift programs are commonly developed and tested using Xcode, Apple’s integrated development environment.
To strengthen faculty expertise, the University collaborated with iPlanet to conduct an intensive eight-week Apple Technologies Faculty Development Programme. Three faculty members successfully completed the training, enabling them to deliver high-quality instruction in Apple technologies and mentor students in innovative application development.
In conclusion, the Apple iOS Laboratory has become an important academic and innovation hub that promotes student skill development, faculty excellence, industry collaboration, research, and intellectual property creation. The laboratory continues to support the University's vision of academic excellence and prepares students for successful careers in the Apple ecosystem.
| S.No | Particulars | Details |
|---|---|---|
| 01 | Centre Name | AR/VR/MR Innovation Centre (AR/VR/MR IC) |
| 02 | Host Institution | Dhanalakshmi Srinivasan Institute of Research and Technology |
| 03 | School / Department | School of Engineering and Technology (SET) |
| 04 | Centre Coordinator | Dr. Md. Sathik Raja |
| 05 | Industry Partner | ARK Infotech Solutions, Chennai |
| 06 | Academic Partner | XTIC – XR Technology & Innovation Centre, IIT Madras |
| 07 | Year Established | 2024 (Equipment procured: 29 Feb 2024) |
| 08 | XR Club Name | DSU-SET XR Club (DSUPXRC) |
XTIC Q1 2025 Review by securing the 3rd rank among 20 participating institutions, earning 16 credit points.
Q1 2025
XTIC Q1 2025 Review
Institutional Engagement
Certified Students
Students successfully achieved official certifications from Unity Technologies.
The DSIRT-SET XR Club (DSUPXRC) expanded to 107 registered members spanning 11 different engineering and technology departments.
A 5-day workshop focused on the fundamentals of Real-Time 3D (RT3D) using Unity 3D, training 29 students and 5 faculty members.
A 5-day workshop introducing Unity 3D basics, asset imports, and user inputs to 35 students.
An advanced 5-day workshop heavily focusing on AR/VR development for 30 students.
A compact 1-day local training module led by the center's Technical Training Engineer, teaching basic scene creation to 10 selected students.
25 students learned about digital public infrastructure framework and CAVE facility environments.
30 students learned UX principles for 3D and immersive environments from an expert at IIIT Delhi.
30 students explored Gaussian Splatting and 3D asset pipelines handled by NHU AI.
| Date | Milestone | Details |
|---|---|---|
| Feb 2024 | Equipment Procurement | Meta Quest 3 (x2), Samsung Tab S7 FE (x2), 5 high-end PCs, Mac Studio |
| Dec 2024 | Centre Inauguration | Inaugurated by the Honourable Chancellor at the University Campus |
| Apr 2025 | XR Club Inauguration | 94 students at Intel AI Lab |
| Apr 2025 | Workshop Batch 1, Phase 1 | 5-Day Unity 3D Workshop; 29 students + 5 faculty; ARK Infotech Solutions |
| Apr 2025 | XTIC Q1 Review | 16 credit points earned; ranked 3rd among 20 institutions |
| Jul 2025 | XTIC Meeting #1 | XR Centre establishment, FDP proposal, NPTEL integration, technical visit discussed |
| Sep 2025 | Workshop Batch 2, Phase 1 | 5-Day Unity 3D Workshop; 35 students; ARK Infotech Solutions |
| Nov 2025 | XTIC Meeting #2 | TechXR Innovations: XR use cases, B2B market potential, AR glasses as future technology |
| Feb 2026 | Workshop Batch 1, Phase 2 | 5-Day AR/VR Unity Workshop; 30 students; ARK Infotech |
| Feb 2026 | XTIC Webinar Series | Spatial UI Design (IIIT Delhi) & 3D Modeling for CAVE (NHU AI); 30 students each |
| Feb 2026 | Internal Training | 1-Day hands-on Unity session; 10 students |
All Programmes
Institutional Ranking
The Drone Innovation Centre at Dhanalakshmi Srinivasan Institute of Research and Technology (DSIRT), School of Engineering and Technology, has established a structured ecosystem to transition students from foundational drone concepts to professional
| S.No | Activity Type | Student Count | Focus / Title | Timeline | Duration |
|---|---|---|---|---|---|
| 01 | Internships Aerospace | 7 DSEC | Quadcopter Modelling & Control | Oct 27 – Nov 20, 2024 | 30 Days |
| 02 | Hands-on Workshop | 30 | Introduction to Drone Technology | Dec 21, 2024 | 1 Day |
| 03 | Final Year Project | 4 Robotics | Quadcopter PID Controller Optimization (C++ & Genetic Algorithm) | Feb 1 – Mar 1, 2025 | 30 Days |
| 04 | Technical Workshop | 15 DSIRT-SET | Basics of Drones and Components | Sep 02, 2025 | 1 Day |
| 05 | Aerodynamics Workshop | 12 DSIRT-SET | Drone Tech and Aerodynamics | Feb 26, 2026 | 1 Day |
| 06 | Professional Certification | 06 Members | Small Category RPC Attainment | Mar 06, 2026 | Milestone |
| 07 | FDP | 12 Members | 3D-Printing Technology | 11 & 12 June 2026 | 2 Days |
Students gained a comprehensive understanding of drone flight dynamics.
Participants learned the real-world application of core control theories.
Students developed hands-on Arduino programming skills.
Participants successfully achieved complete flight controller development and hardware implementation.
30 students successfully mastered drone frame fabrication.
Hands-on experience in flashing and installing open-source flight firmware.
Covered basic flying protocols and safety maneuvers.
Developed PID-based closed-loop flight control system.
Coded, simulated, and tested using C++ and Genetic Algorithm.
Participants gained an understanding of drone types, configurations, and operating principles.
Students learned the functions of flight controllers, ESCs, motors, propellers, batteries, GPS, and radio communication systems.
Participants acquired practical knowledge of drone assembly, wiring, and component integration.
Hands-on experience was provided in firmware installation, sensor calibration, and basic flight controller setup.
Participants learned pre-flight inspection, safety protocols, and basic drone flying procedures.
Participants developed the foundational knowledge and practical skills required for drone assembly, configuration, and safe operation.
Assembling and dismantling multi-rotor drone kits.
Flight controller configuration and calibration.
Hardware troubleshooting and soldering.
6 students obtained Small Category RPC.
Professional credential bridging academia and industry.
Baseline for drone startup operations.
The AWS Cloud Foundations course is a structured introductory training program designed to provide faculty members with a strong conceptual and practical understanding of cloud computing using Amazon Web Services (AWS). This program focuses on building awareness of modern cloud technologies and equipping educators with essential knowledge required to understand, explain, and apply cloud-based solutions in academic and institutional environments.
The course covers fundamental concepts such as cloud computing models, AWS global infrastructure, core AWS services including compute, storage, networking, and database services, as well as security, identity management, and pricing principles. Participants are introduced to key AWS concepts such as scalability, elasticity, high availability, and fault tolerance, enabling them to understand how cloud platforms support reliable and efficient application deployment. Emphasis is also placed on the AWS shared responsibility model, which helps faculty clearly distinguish between customer and AWS responsibilities in maintaining secure cloud environments.
Through this training, faculty members gain insights into real-world cloud usage scenarios and industry best practices. The program enhances the participants’ ability to integrate cloud concepts into classroom teaching, laboratory sessions, and student projects. It also supports faculty involvement in cloud-based research, curriculum development, and skill-oriented education aligned with current industry standards.
The successful completion of the AWS Cloud Foundations course empowers faculty members to act as effective mentors in cloud computing technologies and contributes to the university’s objective of promoting continuous professional development. This initiative strengthens the institution’s academic framework by fostering cloud literacy among educators and preparing students to meet the evolving demands of the information technology industry.
This module provides a foundational understanding of cloud computing concepts and introduces participants to the AWS Cloud environment. It begins with an overview of cloud computing and explains how cloud technology differs from traditional on-premises infrastructure. The advantages of cloud computing, such as scalability, flexibility, cost efficiency, high availability, and global accessibility, are discussed in detail.
Participants are introduced to Amazon Web Services (AWS) and its role as a leading cloud service provider. The module also explains the process of migrating workloads to the AWS Cloud and highlights the benefits of adopting cloud-based solutions for educational and institutional use. Through instructional videos, student guides, and assessments, faculty members gain a strong conceptual base in cloud computing. The module concludes with a knowledge check to evaluate understanding of cloud fundamentals.
This module focuses on the financial aspects of cloud computing and AWS pricing models. Participants learn the fundamentals of AWS pricing, including pay-as-you-go, pay-less-when-you-reserve, and pay-less-by-using-more principles. The concept of Total Cost of Ownership (TCO) is explained through case studies to help participants compare cloud costs with traditional infrastructure expenses.
The module also introduces AWS Organizations and explains how multiple AWS accounts can be managed efficiently. Participants are trained to understand AWS billing services, billing dashboards, and cost monitoring tools.
This module introduces the AWS global infrastructure and explains how AWS delivers reliable and scalable cloud services worldwide. Participants learn about AWS Regions, Availability Zones, and Edge Locations, and how these components work together to ensure high availability and fault tolerance.
The module also provides an overview of core AWS services across compute, storage, networking, databases, and security domains. By understanding the AWS infrastructure design, faculty members gain insight into how applications can be deployed with improved performance, reliability, and resilience. The module concludes with assessments to reinforce understanding of AWS infrastructure concepts.
This module emphasizes the importance of security in the AWS Cloud and introduces AWS security best practices. Participants learn about the AWS Shared Responsibility Model, which clearly defines security responsibilities between AWS and customers. Identity and Access Management (IAM) is explained in detail,
including users, groups, roles, and policies.
The module covers methods for securing new AWS accounts, protecting resources, securing data at rest and in transit, and maintaining compliance with industry standards. Practical demonstrations and laboratory exercises help
participants gain hands-on experience with AWS IAM. This module ensures that faculty members understand how to design and maintain secure cloud environments.
This module introduces networking concepts in the AWS Cloud and explains how network resources are designed and managed. Participants learn the fundamentals of networking, including IP addressing, subnets, and routing. Amazon Virtual Private
Cloud (VPC) is explained in detail, along with VPC networking components and security features such as security groups and network access control lists.
The module also covers AWS Route 53 for domain name services and Amazon CloudFront for content delivery. Hands-on labs guide participants through building a VPC and launching a web server. By completing this module, faculty members gain practical knowledge of AWS networking and content delivery services.
This module focuses on AWS compute services and their practical applications. Participants are introduced to various compute options available in AWS, including Amazon EC2, container services, AWS Lambda, and AWS Elastic Beanstalk. The module explains EC2 instance types, pricing models, and cost optimization strategies.
Hands-on labs and activities provide experience in launching and managing EC2 instances, working with serverless computing using AWS Lambda, and deploying applications using Elastic Beanstalk. This module enables faculty members to understand how to select and implement appropriate compute solutions based on application requirements.
This module covers AWS storage services and their use cases. Participants learn about Amazon Elastic Block Store (EBS) and gain hands-on experience in creating and managing storage volumes. The module also introduces Amazon Simple Storage Service (S3) for object storage and explains its features, durability, and security options.
Additional storage services such as Amazon Elastic File System (EFS) and Amazon S3 Glacier are discussed to address file storage and long-term archival needs. Through demonstrations and lab exercises, participants gain a comprehensive understanding of AWS storage solutions and their real-world applications.
This module introduces AWS database services and their role in modern application development. Participants learn about Amazon Relational Database Service (RDS) and gain practical experience in building and managing database servers. The module also covers Amazon DynamoDB for NoSQL applications, Amazon Redshift for data warehousing, and Amazon Aurora for high-performance relational databases.
Faculty members gain insights into selecting appropriate database services based on performance, scalability, and availability requirements. The module concludes with assessments to evaluate understanding of AWS database concepts.
This module focuses on designing well-architected cloud solutions using AWS best practices. Participants learn about the AWS Well-Architected Framework and its pillars, including operational excellence, security, reliability, performance efficiency, and cost optimization.
The module also introduces AWS Trusted Advisor, which provides recommendations to optimize cloud resources. By understanding architectural principles, faculty members are equipped to design secure, reliable, and cost-effective cloud architectures.
This module introduces monitoring and scalability services in AWS. Participants learn about Elastic Load Balancing, Amazon CloudWatch, and Amazon EC2 Auto Scaling. These services enable applications to scale automatically based on demand and maintain high availability.
Hands-on labs guide participants through building scalable and load-balanced architectures. By the end of this module, faculty members understand how to monitor cloud resources, improve performance, and ensure reliability in AWS environments.
Participants gained an understanding of 3D printing principles, technologies, and Industry 4.0 applications.
Faculty members learned the construction, working, calibration, and operation of FDM 3D printers.
Faculty members observed and executed the complete workflow from digital design to prototype fabrication.
Participants successfully performed printer setup, bed leveling, filament loading, and real-time 3D printing.
Faculty members learned to identify common printing issues, optimize print quality, and perform routine maintenance.
Participants explored the use of 3D printing in aerospace, biomedical, automotive, robotics, and rapid prototyping.
Faculty members enhanced their practical skills in additive manufacturing and gained the confidence to integrate 3D printing into teaching, research, and innovation activities.
