All Management Events
- Budget 2024-25: A Development Oriented Budget August 1, 2024
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- Md Najrul Islam July 31, 2024
- Skill Enhancement Programme: Understanding Renewable Energy and Smart Transportation July 31, 2024
The Department of Electrical and Electronics Engineering hosted a highly successful five-day Skill Enhancement Programme on “Renewable Energy and Smart Transportation” from July 22 to July 26, 2024, signalling a major leap forward in addressing the vital sectors of electric vehicles and renewable energy systems. The programme conducted in a hybrid mode, featured live lectures, hands-on training, and interactive sessions, drawing a total of 50 participants. Chief Guest Dr K Sivakumar, HOD-EEE, IIT Hyderabad, highlighted the pressing need for such skill development initiatives and stressed the importance of keeping abreast of advancements in renewable energy and smart transportation.
Expert sessions on the emerging domains of Renewable Energy, including Advanced Power Conversion and Efficient Drives, Design and Simulation Tools, Battery Management and Charging Infrastructure, and Sustainability and Renewable Integration, fostered an in-depth understanding and application of the latest technologies in these fields.
Dr K Sivakumar started off the programme with an engaging session on advanced power conversion techniques and control strategies for electric vehicles. His insights into modern electric vehicle design set a strong foundation for the week. Participants gained a deep understanding and a solid theoretical base on the latest advancements in power converters and control techniques, which are crucial for the design and development of efficient electric vehicles.
Subsequent technical sessions were led by esteemed experts from academia and industry, such as Dr Narasimharaju B L from NIT Warangal, Mr Suraj from Decibels Pvt. Ltd., Dr G Naga Yatendra Babu from Solidpro Engineering Support Pvt. Ltd., Mr Sai Teja Cherla from OPAL-RT, and Dr Kiran Kumar N, Dr Pratikanta Mishra from and Dr V Naresh Kumar from SRM University-AP.
Overall, the Skill Enhancement Programme provided participants with a comprehensive understanding of renewable energy and smart transportation, blending theoretical knowledge with practical skills and fostering discussions on current challenges and future opportunities in these fields.
Continue reading → - “From Andhra to Paris” – SRM AP’s Rising Star Selected for Paris Olympics 2024 July 30, 2024
Ms Jyothika Sri Dandi, our first-year B.A. student at the Easwari School of Liberal Arts, has qualified for the Indian Women’s 4x400m Relay Team for the world’s foremost sports competition, the Paris Olympics 2024. Dr Dhiraj Parasher, Director–Sports, congratulated Ms Jyothika on this phenomenal achievement. He remarked, “To become an Olympian is a monumental mark in the career of an athlete. We are swelled with pride and offer unwavering support as we soundly believe that Jyothika will create history and return as an Olympic champion.”
Vice Chancellor Prof. Manoj K Arora also expressed his pride and zeal by stating, “Ms Jyothika is a national treasure that instils a belief and ambition in every young girl who dreams of being an Olympian. We, at SRM University-AP, wish her success and victory as she crafts her name in the tapestry of champions.”
Hailing from Tanuku town in the West Godavari district of Andhra Pradesh, the two-time national champion has paved her way to the elite sports championship through hard work, determination, and resilience.
Ms Jyothika had her breakthrough in 2021 when she secured Gold in the 400-metre race at the Indian U23 Championships. Her winning streak continued as she forged ahead to make her mark in 2023 by winning the Indian National Open Championships for 400 metres race in Thiruvananthapuram and winning bronze in the women’s 4 x 400 metres relay at the 2023 Asian Athletics Championships in Bangkok. Her blistering pace and performance at the 2024 World Relays Championships in Nassau, Bahamas, secured the Indian women’s relay team’s ticket to the Paris Olympics.
As the 2024 Paris Olympics unfolds, it is a moment of pride and anticipation for SRM University-AP as the institute extends its heartfelt wishes to Ms Jyothika and the Indian contingent representing our nation on this monumental platform.
Continue reading → - SRM University-AP student at Paris Olympics 2024 July 29, 2024
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- Dr Raviteja K Publishes Book on Sustainable Materials in Civil Infrastructure July 29, 2024
Dr Raviteja K, Assistant Professor in the Department of Civil Engineering, has recently authored a groundbreaking book entitled “Sustainable Materials in Civil Infrastructure.” This publication is set to become a valuable resource for professionals and students in the field, shedding light on the importance of sustainable practices in construction and infrastructure development. His expertise and dedication to promoting environmentally friendly solutions within the realm of civil engineering have culminated in this significant literary contribution. The book delves into the utilization of eco-conscious materials, innovative construction techniques, and the crucial role they play in creating a more sustainable future for infrastructure projects worldwide.
His work is anticipated to inspire a new wave of sustainable practices in the industry and drive positive change towards greener and more resilient civil infrastructure development. Congratulations to Dr. Raviteja K on this remarkable achievement that is sure to make a lasting impact in the field of civil engineering!
Publication details (incl. Publisher, ISBN, Launch date, Edition, etc):
Title: Sustainable Materials in Civil Infrastructure, Publisher: Elseveir, ISBN: 978-0-443-16142-1, Date: July 2024, doi: https://doi.org/10.1016/C2022-0-02477-6.Brief Introduction the Book:
Sustainable Materials in Civil Infrastructure delves into cutting-edge advancements in eco-materials, offering solutions crucial for building resilient and sustainable infrastructure. It provides profound insights into pioneering research on eco-materials for construction, offering a comprehensive guide on recycled steel, low-carbon concrete, bioconcrete, self-healing concrete, and industrial by-products like fly ash and shape memory alloys. Chapters explore design applications of bioconcrete and the utilisation of eco-materials in landfill liners and masonry, while also addressing obstacles hindering the widespread adoption of green concrete and bioconcrete, proposing practical solutions. This book serves as a cornerstone for the development of sustainable design methodologies, embraced by environmental monitoring bodies worldwide.Significance of Book
The book “Sustainable Materials in Civil Infrastructure” published by Elsevier is a pivotal resource in the field of sustainable engineering, particularly relevant to my work in developing solutions for geotechnical and geoenvironmental challenges at Sustainable Engineering Research Laboratory (SERL), SRM University AP.The inclusion of topics such as bioconcrete and the utilization of eco-materials in landfill liners and masonry is particularly significant. Bioconcrete, for instance, exemplifies a pioneering approach by integrating biological processes into construction materials, thereby promoting sustainability and durability. Addressing obstacles to the widespread adoption of green concrete and bioconcrete is also crucial, as it underscores the practical challenges that need to be overcome for these materials to achieve mainstream acceptance.
For my research focus at SERL, this book serves as a cornerstone. It not only provides in-depth insights into the latest research and development in sustainable materials but also offers practical guidance on their design applications and integration into infrastructure projects. Moreover, the emphasis on sustainable design methodologies aligns perfectly with our laboratory’s mission to promote environmentally conscious practices in civil engineering.
Target Audience of the Book
The target audience of the book “Sustainable Materials in Civil Infrastructure” includes a wide range of professionals and researchers involved in civil engineering, sustainability, and materials science. Specifically, the book would be helpful and resourceful for:
Civil Engineers, Researchers and Academics, Environmental Engineers, Policy Makers and Regulatory Bodies, Students, Construction Industry Professionals, and Consultants.Co-authors
The co-editors include: Thainswemong Choudhury, Lakhveer Singh and Elisa BertolesiThe Link of the Book Publication
Continue reading → - Innovation Alert: Patent on Plant Disease Detection Published by CSE Team July 29, 2024
In an impressive achievement, Dr Ashok Kumar Pradhan, Associate Professor of the Department of Computer Science and Engineering, along with PhD Scholar Ms Ghanta Swetha and BTech CSE students Mr Bandi Sai Harshith, Mr Estamsetty Srikanth, Mr Guduri Venkata Sai Kumar, and Mr Atmakuri Pavan Kumar, has successfully published a patent titled “A SYSTEM AND METHOD FOR AUTOMATED PLANT DISEASE DETECTION.” The application has been officially recognised with Application Number: 202441052706, as recorded in the Patent Office Journal.
This innovative system aims to revolutionise the agricultural sector by providing an automated mechanism for detecting diseases in plants. Thus, it enhances crop management and ensures healthier yields. The team’s dedication to advancing technology and improving agricultural practices showcases the potential of computer science in solving real-world problems.
The patent not only reflects the hard work and collaboration among the faculty and students but also signifies a step forward in the integration of technology with agriculture. As the world faces challenges related to food security, such innovations play a critical role in safeguarding plant health and agricultural productivity.
Congratulations to Dr Pradhan, Ms Swetha, and the student inventors on this significant milestone in their academic and professional endeavours!
Abstract of the Research:
The innovation that is being presented in this project is a software-based system that is intended to help farmers by offering an automated way to identify plant diseases. This innovation combines a number of technological elements:Convolutional Neural Networks (CNNs): These networks are used to recognise and categorise plant diseases from images of both healthy and sick plants with high accuracy. This is leveraging transfer learning with pre-trained CNN architectures to improve performance even with sparsely annotated data.
MobileNetV2 Architecture: Designed with the specific purpose of classifying agricultural diseases in mind, this model is effective and lightweight, making it ideal for use in resource- constrained settings such as farms.
Weather API Integration: This helps farmers make decisions about crop management and disease prevention by giving them access to real-time weather data.
AI-Powered Website: Acts as a user interface for farmers to communicate with the system, submit plant photos, post queries, and get weather and diagnostic updates.
Chatbot: Utilizes Recurrent Neural Networks (RNN) and Natural Language Processing (NLP) to respond to user inquiries and provide guidance on crop management and disease prevention.
All things considered, this innovation is a system that integrates various software components, artificial intelligence, and data integration to produce a complete tool for raising agricultural productivity and managing diseases.
Research in Layperson’s Terms
1. Automated Plant Disease Prediction: Current approaches frequently use traditional diagnostic procedures and manual inspection, which can be laborious and prone to human mistakes. The suggested method uses CNNs to automatically and precisely recognise images, increasing the efficacy and precision of plant disease diagnosis.
2. This project assists farmers in making decisions on crop management and disease prevention by providing them with access to current weather information.
3. Farmers can query various farming issues and receive responses. This is done by leveraging RNNs and NLP.
4. Use of Transfer Learning: The system uses transfer learning to use pre-trained CNN architectures, which enables it to function well even with a small amount of annotated data. Compared to typical machine learning models, which frequently need big datasets and intensive training, this is a major improvement.
Integration with Smart Agriculture Systems: – This method combines disease prediction with smart agriculture systems, allowing for real-time monitoring and decision-making, in contrast to independent diagnostic instruments.Practical Implementation or the Social Implications Associated
1. Field Diagnosis by Farmers: – Farmers can snap photos of their crops in the fields and instantly receive a disease diagnosis and treatment suggestions by using the platform.2. Agricultural Extension Services: Using the system, agricultural extension agents may help farmers more effectively by offering guidance and support.
3. Agricultural Research: – Researchers can investigate plant diseases and create novel remedies and management techniques by utilizing the extensive annotated picture library and diagnostic tools.
4. Commercial Farming Operations: – By incorporating the system into their precision agriculture techniques, large-scale farming operations can maximize crop health management and operational effectiveness.
5. Policy Formation and Governance: – Governmental organizations can monitor plant disease outbreaks and create regional or national plans for disease control and prevention using aggregated data from the platform.
Future research plans
We may use privacy and security enhancement tools and techniques to make the data more secure
Continue reading → - Budget 2024 Boosts Entrepreneurship: Tarun Scheme Expansion and Fiscal Discipline July 26, 2024
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- Dr Sachchidanand July 26, 2024
- Dimpal Janu July 26, 2024