Future Intelligence System: VLSI Meets AI, Security And IoT Applications
The International Virtual Faculty Training Programme (Ivftp) In Association With
Entuple Technologies
Organised By
Department of Electronics And Communication Engineering
SRM Institute of Science and Technology
Ramapuram Campus
From 01st July 2026 To 7th July 2026
Convenor
Dr.N.V.S. Sree Rathna Lakshmi (HoD/ECE)
Co-Convenor
Dr. P Ramani (AP)
Faculty Co-ordinators:
Dr. Reji V (AP)
Dr. Sabarimani (AP) Dr. Nagarajan S (AP)
Dr. Annapoorani G (AP)
Dr. Reshma P Vengaloor (AP)
Dr. Sharmila P (AP)
Dr.Mohanbabu (AP)
The International Virtual Faculty Training Programme (IVFTP) titled “Future Intelligence Systems: VLSI Meets AI, Security and IoT Applications” was organized to provide faculty members, researchers, and academicians with an in-depth understanding of emerging technologies that are shaping the future of intelligent electronic systems. The Faculty Training Program commenced with the soulful invocation of Tamil Thai Vazhthu, setting a reverent tone. Dr. N.V.S. Sree Rathna Lakshmi (HoD /ECE) extended a heartfelt welcome, emphasizing the transformative impact of Intelligence System and its wide-ranging applications. Dr. Ramani P, AP/ECE, has delivered felicitation address. The IVFTP commenced with a formal inaugural session that set the tone for six days of academic excellence and technological learning. The programme was inaugurated by Dr. Abdullah Hamed Albadi, who graced the occasion as the Chief Guest and Inaugural Speaker. Dr. Abdullah Hamed Al-Badi is a highly prominent Omani academic, researcher, and educational leader who currently serves as a Professor in the Department of Electrical and Computer Engineering at Sultan Qaboos University (SQU).
In his inaugural address, Dr. Abdullah Hamed Albadi warmly welcomed the participants and emphasized the growing significance of interdisciplinary research involving Artificial Intelligence (AI), Very Large Scale Integration (VLSI), Internet of Things (IoT), cybersecurity, and intelligent embedded systems. He highlighted that these technologies are driving the next generation of smart devices and digital transformation across industries, making it essential for educators and researchers to continuously upgrade their technical knowledge and teaching practices.
The six-day programme brought together distinguished experts from academia and industry who shared their knowledge on the latest advancements in Artificial Intelligence (AI), Very Large Scale Integration (VLSI), semiconductor design, Machine Learning, Edge Intelligence, Internet of Things (IoT), and research methodologies.
The rapid convergence of AI, VLSI, embedded systems, cybersecurity, and IoT has transformed the design and development of intelligent hardware platforms. The programme aimed to equip faculty members with current industrial practices, modern Electronic Design Automation (EDA) tools, AI-based design methodologies, and innovative research directions.
The sessions combined theoretical concepts, industrial experiences, case studies, and practical demonstrations, making the programme highly beneficial for educators and researchers.
The training programme successfully enhanced participants’ knowledge in semiconductor technologies, AI-enabled system design, intelligent edge computing, and machine learning applications while fostering international collaboration and interdisciplinary research.
Objectives of the Programme
To provide exposure to recent developments in Artificial Intelligence and VLSI technologies.
To understand the integration of AI with semiconductor design and verification.
To familiarize faculty members with industry-standard Cadence Electronic Design Automation (EDA) tools.
To introduce advanced Full Custom IC Design methodologies.
To explore AI tools that enhance teaching, research, and scientific productivity.
To understand Machine Learning applications in intelligent optical systems.
To study the architecture and applications of Edge Intelligence in IoT systems.
To promote collaborative research in emerging interdisciplinary domains.
DAY 1: 01.07.2026 – WEDNESDAY
Topic: Edge AI and VLSI Verification in the Era of AI About resource person:
Mr. Rajiv, who was the keynote speaker on day 1 is serving as principal engineer at microchip technology Inc. Chennai. He has 15 years of experience in VLSI design and Verification. He is also expertise in low power verification, hands on experience with VMM, OVM and UVM.
Session Overview
The session focused on the revolutionary impact of Artificial Intelligence on semiconductor technologies and VLSI verification. The speaker explained how AI has become an essential component in modern integrated circuit design, enabling faster verification, improved accuracy, and intelligent automation throughout the chip development lifecycle. The session introduced the concept of Edge AI, where artificial intelligence algorithms are executed directly on edge devices instead of relying on cloud computing. This approach minimizes latency, reduces communication overhead, improves security, and enables real-time decision-making. The speaker emphasized the growing complexity of integrated circuits and highlighted how AI-powered verification techniques significantly reduce verification time while improving design quality.
Topics Covered
Introduction to Artificial Intelligence
Fundamentals of Edge AI
Evolution of VLSI Systems
Challenges in Modern Chip Verification
AI-Assisted Functional Verification
Machine Learning Algorithms in Verification
Intelligent Test Pattern Generation
Bug Prediction Techniques
AI-driven Automation in Semiconductor Design
Industrial Applications of Edge AI
Key Learning Outcomes
Fundamentals of Edge AI architecture.
Importance of AI in VLSI verification.
Modern verification methodologies.
AI-based automation techniques.
DAY 2: 02.07.2026 – THURSDAY
Topic: Cutting Edge Custom IC Design: A Guide to Cadence EDA Tools
About Resource Person
Mr. V.Navaneethakrishnan is a Senior Application Engineer in Entuple Technologies Pvt. Ltd. Bangalore. His research interests are including VLSI architectures, ASIC, FPGA and SoC Design. He various digital badges from Cadence and also, he got a “Instructor Badge Certification from Cadence” for corporate trainings. He has 14+ years of experience in the field of Design and Training.
Session Overview
The second day’s session focused on the complete custom IC design flow using Cadence Electronic Design Automation tools. The resource person provided a comprehensive overview of semiconductor manufacturing, analog and mixed-signal circuit design, and the importance of industry-standard design software.
The speaker demonstrated the use of Cadence Virtuoso, one of the world’s leading EDA platforms used extensively in semiconductor industries.
Topics Covered
Semiconductor Manufacturing Process
Custom IC Design Flow
Analog Circuit Design
Mixed Signal Design
Introduction to Cadence Virtuoso
Schematic Capture
Circuit Simulation
Design Rule Check (DRC)
Layout Versus Schematic (LVS)
Practical Demonstration
Creation of circuit schematics
Layout implementation
Physical verification
Error correction using Cadence tools
Learning Outcomes
Complete custom IC design methodology.
Industry-standard design workflow.
Physical verification procedures.
Importance of layout optimization.
Practical implementation using Cadence software.
DAY 3: 03.07.2026 – FRIDAY
Topic: Full Custom IC Design Using Cadence EDA Tools
About Resource Person
Mr. Sanjay G. S. is a field application engineer at Entuple Technologies Pvt. Ltd., specializing in EDA tool deployment, hands on training and academic enablement using cadence design systems. He has visited and trained 60+ academic institutions across India, delivering FDPs, workshops and hands on sessions on Full custom IC design and semi-custom & Digital design Flow.
Session Overview
The third day concentrated on advanced Full Custom IC Design techniques. The session explained how transistor-level optimization provides superior performance, lower power consumption, and higher reliability compared to semi-custom design methodologies. The speaker elaborated on analog layout optimization techniques and demonstrated professional design workflows adopted in semiconductor industries.
Topics Covered
Full Custom IC Design
Design Flow
Transistor-Level Design
Layout Optimization
Device Matching
Floor Planning
Routing Techniques
Signal Integrity
Power Optimization
Timing Analysis
Design Verification
Tape-out Process
Hands-on demonstrations included:
Circuit implementation
Analog layout design
Design optimization
DRC
LVS
Performance evaluation
Learning Outcomes
Complete Full Custom Design Flow.
Advanced layout techniques.
Industrial verification methodologies.
Optimization strategies.
Semiconductor industry practices.
DAY 4: 04.07.2026 – SATURDAY
Topic: Leveraging AI Tools for Knowledge and Research
About resource person:
Mr. Riyaz Feroze is senior cybersecurity leader in Saudi Arabia. He has accomplished cybersecurity executive with over 23 years of progressive experience delivering security services across defense, public sector, and diverse industries including oil & gas, software development, healthcare, government, and customer support. Recognized as a trusted security advisor to CEOs, Boards of Directors, and Executive Committees, with a proven ability to translate complex security risks into actionable business decisions.
Session Overview
The fourth day’s technical session explored the transformative role of Artificial Intelligence in education and research. The speaker demonstrated several AI-powered tools that significantly improve literature review, technical writing, data analysis, research planning, and academic productivity. The session highlighted how AI can support researchers throughout every phase of the research lifecycle while maintaining academic integrity and ethical standards.
Topics Covered
Introduction to Generative AI
AI for Academic Research
Literature Survey using AI
Research Paper Writing
AI-powered Data Analysis
Citation Management
Research Proposal Development
AI-assisted Coding
Academic Integrity
Ethical Use of AI
AI Tools Discussed
AI-based research assistants
Scientific writing tools
Literature review platforms
Citation management software
Data visualization tools
AI coding assistants
Learning Outcomes
Effective use of AI in research.
Literature review automation.
AI-assisted academic writing.
Ethical considerations.
Improving research productivity.
DAY 5: 06.07.2026 – MONDAY
Topic: Object Detection Through Optical Systems Using Machine Learning
About resource person:
Ms. Akshaya Ananthakrishnan is a machine learning engineer with hands on experience in building and optimising computer vision pipelines and deep learning models using Python and PyTorch for sensor, image and industrial data. She is skilled in object detection, data preparation, model training and performance optimisation with practical exposure to end-to-end ML workflow from experimentation to deployment.
Session Overview:
The fifth day’s session focused on Machine Learning applications in computer vision and intelligent optical systems. The speaker explained the principles of image acquisition, feature extraction, object recognition, and deep learning techniques used for object detection.
Several real-world applications from healthcare, autonomous vehicles, industrial automation, surveillance, and smart cities were discussed.
Topics Covered
Introduction to Computer Vision
Optical Imaging Systems
Digital Image Processing
Feature Extraction
Machine Learning Fundamentals
Deep Learning
Convolutional Neural Networks (CNN)
Object Detection Algorithms
Performance Evaluation
Real-time Applications
Learning Outcomes
Optical imaging fundamentals.
Machine learning workflow.
Object detection techniques.
CNN-based detection methods.
Industrial applications.
DAY 6: 07.07.2026 – TUESDAY
Topic: Intelligence on Edge Devices
Resource Person:
Dr. V Sathiesh Kumar is working as Deputy Director- Planning & Development in Anna University, Chennai. His are of interests are image processing and artificial intelligence. He has a very good number of research publications in various reputed journals. He has received funding for 5 projects from various government funding agencies. Mr. Sathiesh Kumar has published many research papers in various reputed journals.
Session Overview
The concluding session emphasized the implementation of Artificial Intelligence on embedded and edge devices. The speaker explained how intelligent algorithms are deployed directly onto resource-constrained devices for faster processing, improved security, and energy-efficient computing. The session highlighted the growing importance of TinyML, Edge Computing, and AI-enabled IoT systems.
Topics Covered
Introduction to Edge Computing
Embedded AI
TinyML
AI-enabled IoT
Security Challenges
Future Smart Systems
Learning Outcomes
Edge AI implementation.
Embedded intelligence.
TinyML concepts.
IoT architecture.
Future intelligent systems.
Overall Outcomes of the Programme
The six-day International Virtual Faculty Training Programme provided an excellent opportunity for faculty members to acquire advanced knowledge in VLSI technology, Artificial Intelligence, semiconductor design, Edge Computing, Machine Learning, and intelligent IoT systems. Participants developed a clear understanding of the latest industrial trends, modern design methodologies, and research opportunities in interdisciplinary domains.
The programme enhanced the participants’ ability to integrate AI-based tools into teaching, research, and curriculum development. Practical exposure to Cadence EDA tools, discussions on AI-driven verification, and sessions on machine learning and edge intelligence broadened their technical competence and research capabilities. The knowledge gained will support faculty members in guiding student projects, developing innovative laboratory exercises, publishing quality research, and strengthening academia–industry collaboration.
Conclusion
The International Virtual Faculty Training Programme on “Future Intelligence Systems: VLSI Meets AI, Security and IoT Applications” was highly informative, relevant, and intellectually enriching. The expert sessions delivered by Mr. Rajiv, Mr. Navaneetha Krishnan, Mr. Sanjay G. S., Mr. Riyaz Feroze, Ms. Akshaya Ananthakrishnan, and Dr.
V. Sathiesh Kumar provided participants with a comprehensive understanding of emerging technologies that are transforming the semiconductor and intelligent systems landscape.
The programme successfully bridged theoretical concepts with industrial practices, emphasizing AI-enabled VLSI verification, custom integrated circuit design, machine learning applications, research methodologies, and edge intelligence. It also encouraged interdisciplinary collaboration and inspired participants to pursue innovative research in AI, VLSI, IoT, cybersecurity, and intelligent embedded systems.
Overall, the programme achieved its objectives by enhancing technical expertise, promoting lifelong learning, and preparing faculty members to contribute effectively to teaching, research, and innovation in the rapidly evolving field of future intelligent systems. Around 513 participants from various institutions have attended the program and they had the opportunity to engage in an interactive Q&A session for enhancing their understanding on cutting-edge technologies. FDP was concluded with valedictory function at which Dr. P Ramani (AP- Dept of ECE) has delivered vote of thanks. The event provided an excellent platform for knowledge exchange and interactive discussions.
We would like to extend our sincere gratitude to the management of SRMIST for their unwavering support in organizing and successfully conducting the Faculty Development Programme. Your encouragement, trust, and commitment to faculty empowerment played a pivotal role in making this event a meaningful and enriching experience for all participants. Also, we extend our thanks to Head of the Department-ECE and the faculty members for extending their support to make this program a grand success.
