{"id":89936,"date":"2022-11-29T16:40:07","date_gmt":"2022-11-29T11:10:07","guid":{"rendered":"https:\/\/srmap.edu.in\/?page_id=89936"},"modified":"2022-11-29T16:55:02","modified_gmt":"2022-11-29T11:25:02","slug":"all-management-events","status":"publish","type":"page","link":"https:\/\/srmap.edu.in\/all-management-events\/","title":{"rendered":"All Management Events"},"content":{"rendered":"
In a significant achievement for the Department of Computer Science and Engineering<\/a><\/strong><\/span>, Dr Mahesh Kumar Morampudi, Assistant Professor, along with B.Tech. student Ms. Nunna Lakshmi Manasa, has been granted a patent for their groundbreaking invention titled \u201cSystem and method for generating synthetic data based on variational autoencoder.\u201d The patent, with Application Number: 202241049545, was officially recognised in the Indian Patent Office<\/a><\/span><\/strong>.<\/p>\n This innovative system leverages the capabilities of variational autoencoders to generate synthetic data, which has vast applications in various fields, including machine learning, data privacy, and simulation. The ability to create high-quality synthetic datasets can significantly enhance research and development processes, providing researchers and practitioners with valuable tools for analysis and experimentation.<\/p>\n The recognition of this patent not only highlights the innovative spirit within the department but also underscores the collaborative efforts between faculty and students in advancing technology and contributing to the field of computer science.<\/p>\n Abstract of the Research<\/strong><\/p>\n Diabetic retinopathy (DR) is a diabetes-related eye condition that occurs when high blood sugar levels cause damage to the blood vessels in the retina, the light-sensitive tissue at the back of the eye. Over time, these damaged vessels can leak blood or other fluids, leading to vision impairment.<\/p>\n DR typically progresses through stages, starting with mild non-proliferative retinopathy, where small bulges form in the blood vessels, to proliferative retinopathy, the most severe stage, where new abnormal blood vessels grow on the retina and in the vitreous humor, potentially leading to blindness. Early detection and management are crucial to prevent significant vision loss, often involving regular eye exams, blood sugar control, and treatments like laser therapy or surgery.<\/p>\n <\/p>\n Synthetic data generation for DR is an emerging approach to augment limited clinical datasets, enhancing the training of machine learning models for diagnosis and prognosis. The present disclosure envisages a system for generating synthetic data based on a variational autoencoder (VAE). This work explores the use of a VAE combined with deep learning for the detection and classification of DR. VAEs, known for their ability to learn compact and meaningful representations of complex data, are employed to generate latent features from retinal images, effectively capturing the subtle variations and anomalies indicative of DR. These latent features are then fed into a deep learning classifier, which is trained to categorise the severity of DR into various stages, ranging from no DR to proliferative DR.<\/p>\n Research in Layperson’s Terms<\/strong><\/p>\n Imagine your eye is like a camera, and the retina at the back of your eye is the film that captures the pictures you see. DR is a condition that affects this “film” when someone has diabetes for a long time. High blood sugar levels can damage the tiny blood vessels in the retina, leading to vision problems and, in severe cases, blindness.<\/p>\n <\/p>\n Our research is about creating a computer program that can help doctors detect and classify this eye condition more accurately. We use a special kind of technology called a VAE, which is like a smart artist that learns to understand and recreate detailed images of the retina. This “artist” can pick up on the tiny changes and patterns in the retina that might be missed by the human eye. Once the VAE has learned these details, it passes them on to another program, which is really good at sorting things into categories. This second program, a deep learning classifier, uses the information from the VAE to decide how severe diabetic retinopathy is\u2014whether it’s mild, moderate, or severe.<\/p>\n By combining these two technologies, our system can help doctors detect diabetic retinopathy earlier and more accurately, which is crucial for preventing vision loss in people with diabetes.<\/p>\n Title of the Patent in the Citation Format<\/strong> Practical Implementation:<\/strong> Social Implications:<\/strong><\/p>\n Future Research Plans<\/strong><\/p>\n On August 24, 2024, SRM University-AP<\/em> commemorated a significant event marking the 85th Birthday of the esteemed Founder Chancellor of the SRM Group, Dr T R Paarivendhar, celebrating his visionary leadership and contributions. In honour of this day, and reinforcing the ethos of sustainability and environmental consciousness, the university launched “Prerna Vanam,” a plantation-drive initiative.<\/p>\n This annual initiative served as a testament to the varsity’s ongoing efforts to contribute positively to the environment, aligning with global sustainability goals and the founder\u2019s visionary ideals. As we face the challenges of global warming, the varsity comes together to combat climate change, support biodiversity, and ensure a sustainable future. The event held at the university campus was attended by students, staff, and faculty members of the university and helped set a practical example of how institutions can play a pivotal role in making the world a better place for future generations by investing in ecological sustainability.<\/p>\n <\/p>\nContinue reading →<\/a><\/div><\/li> <\/p>\n SRM University-AP<\/em> signalled the commencement of the 78th Independence Day<\/strong> festivities filled with pride and patriotic magnificence by hoisting the national flag. Vice Chancellor Prof. Manoj K Arora did the honours by highlighting the progress made by our country in the past 77 years and the leaps that SRM University-AP<\/em> has taken since its origin. He emphasised the tremendous hard work everyone has done to achieve this scale of independence and success for the country and the society.<\/p>\n In his speech, Prof. Arora recalled the various triumphs and advancements that India has attained till now. He addressed the different important qualities a student needs to have to succeed and further proved how these qualities are imparted in SRM University-AP<\/em> through its curriculum, course plans, and innovative pedagogy. He also called attention to the support of the maintenance staff, security, housekeeping personnel, and construction workers, without whom the stellar progress of the University couldn\u2019t have been possible.<\/p>\n Dr R Premkumar, Registrar, Deans of all schools, Directors, faculty, staff, and students also participated in this wonderful celebration of patriotism.<\/p>\n The programme also encapsulated awe-inspiring stories of the past by the Theatre Club, a stimulating dance performance by the Dance Community, mesmerising performances by the Music Club and a splendid parade organised by Campus Life Management.<\/p>\n
\nInventor Name(s):
\nDr Mahesh Kumar Morampudi
\nNunna Lakshmi Manasa
\n“System and method for generating synthetic data based on variational auto encoder” with Application Number: ” 202241049545.”<\/span><\/strong> Date of Patent Grant. 29\/07\/2024<\/span><\/strong><\/p>\n
\nThe practical implementation of our research involves integrating the VAE and deep learning classifier into a software tool that can be used by eye care professionals. Here’s how it might work in a real-world setting:<\/p>\n\n
\n
\n