PlacementPurab Agarwal, Chaitanya Krishna Pasula, Srinivas Kalyan, Udayagiri Sathvik, Myneni Venkata Satyasai, Gunturu Abhijith from the Department of Computer Science and Engineering, and Vellampalli Medha V Subramahnya Aditya and Sai Jnaneswar Juvvisetty from the Department of Electronics and Communication Engineering are excited about their placement with Marquee offers up to ₹42.5 LPA. These students from the most sought Engineering branches of SRM University-AP burned the midnight oil and have achieved the best!

Our placement team has thoroughly trained the students both in terms of technical expertise and soft skills, as the recruiters shortlist the best young talent who are passionate, devoted to learning, and bubbling with fresh and creative ideas. The talent and motivation of students, together with the intensive instruction they have received since the beginning of their BTech programme, have enabled them to excel in the recruitment drive. The CR&CS department feels that this is just the start of the placement season and that many more outstanding students are eager to demonstrate their abilities to obtain fantastic job offers from top-tier employers.

“I have gained a lot of knowledge from faculty members. All the questions asked in the interview were related to the curriculum of SRM AP”, says Udayagiri in enthusiasm. “The support extended by the placement department as training before the placement and during the placement was also very helpful to crack this interview. The sources or materials that were provided to me before the interview were very helpful to me to crack the interview”, he added.

Know more about our placement legacy at: https://srmap.edu.in/about/crcs/

The 5th installment of the Eminent Guest Lecture Series: An Odyssey of Physics is being brought to you by the Department of Physics at SRM University-AP on November 20, 2021
at 10 AM IST
. Our eminent guest speaker is Dr M.S. Ramachandra Rao from the Department of Physics, Quantum Centre for Diamond and Emergent Materials (QuCenDiEM), Nano Functional Materials Technology Centre, and Materials Science Research Centre, Indian Institute of Technology (IIT) Madras.

About the Speaker:

Dr Rao is one of the forerunning researchers in Physics in our country and has been invited by the Nobel Committee for Physics, Royal Swedish Academy of Sciences, to be a nominator in the years 2009 and 2021. He has authored the books “Nanoscience and Nanotechnology: Fundamentals to Frontiers” (Wiley) – Textbook. ISBN: 9788126542017 and “ZnO nanostructures and Allied Materials” (Springer).

Dr Rao obtained both his Master’s degree and Doctorate from the Indian Institute of Technology, Kharagpur. Over the course of his 26 years of teaching and research experience, he has published in over 200 national and international conference papers, 284 international journals, obtained 15 patents and four technology transfers, completed 20 projects, and delivered over 90 talks.

Dr Ramachandra Rao’s research team incubated a company in IITM Research Park (Kapindra). The company deals with diamond coating for industrial/defence/space applications. It is in the process of developing a product for water purification using diamond-coated electrodes. His team won the 1st prize in the DRDO Dare-to-Dream nationwide contest for their proposal to use diamond coatings in hypersonic technologies.

About the talk: Emergence: Modern Physics to Nanoscience to Advanced and Quantum Materials

The beginning of the 20th century has dawned a new era of modern physics with the evolution of a plethora of experimental techniques that include understanding of optical and x-ray spectra, Rutherford scattering, Stern-Gerlach experiment that led to the discovery of electron spin, with simultaneous progress in the fields of superconductivity, magnetism, spintronics, crystallography and the physics of low dimensional systems that in other words is termed as nanoscience which deals with 2D, 1D and 0D systems. We know that matter is made up of atoms, atoms make up crystal lattices, and electronic correlations play an important role in determining the physical properties of materials. I will explain the enormous progress materials science has made and the potential it offers in various technologies. I will talk about the emergence of ‘quantum materials’ and how quantum effects are inherently built-in certain material systems, for example, high-temperature superconductors. I will give examples citing potential applications of functional materials and brief about diamond, the wonder material for futuristic quantum applications.

Ms Aayushi Sharma, the resident Student Counsellor, is bringing forth an exciting interactive session on Test Anxiety and Learning Styles on November 20, 2021, at 6.00 pm IST.

With exams facing this way, the cool season could get a little sweaty unless we learn to curb our stress and anxiety. So instead of dreading the ticking clock, it is time to command it. How well we perform in examinations will depend on how well we have understood our subjects.

An examination is not a comparison with our peers but an opportunity to self-assess. It can make us aware of our weaknesses so that we can work on them. It can also serve as a chance to assess our strengths so that we might build on them. Instead of looking at examinations with a pessimistic outlook if we look at them optimistically, we might even be able to use them as tools to help us as career guides.

So do not miss this riveting talk on November 20, 2021, at 6.00 pm IST to stay on track, focused and motivated.

Detection of diabetic retinopathyA research paper titled “Detection of Diabetic Retinopathy (DR) severity from fundus photographs: An Ensemble Approach using weighted average”, has been published by Dr Mahesh Kumar Morampudi, Assistant Professor of Computer Science and Engineering, in the Arabian Journal for Science and Engineering.

Diabetic Retinopathy is a common diabetic disease that affects the retina and can result in blindness if not treated initially. Deep learning (DL) based models are proposed to detect the blood abnormalities in the retinal tissue due to diabetes mellitus obtained from fundus camera. The drawback of these models is the lack of performance. To address this, we propose to automate the process of detection of the severity of Diabetic Retinopathy (DR) using ensembles of pre-trained models, thus exploring the power of transfer learning in the field of automated diagnosis. Deep learning models perform well when the model is trained on a large amount of data. In this regard, we also put forth data augmentation and preprocessing techniques to generate synthetic images and to improve image quality. Extensive experimental results on publicly available databases illustrate that the proposed ensemble model achieves fair accuracy when compared to existing models. Thus, the proposed model shows good scope for deployment in real-time diagnosis.

Every year multiple people are diagnosed with diabetes. Diabetes is a chronic disease that affects several organs of the human body namely the eyes, kidneys, heart etc. Diabetic Retinopathy (DR) is a situation induced by diabetes in which severe loss happens to the retinal blood vessels that can ultimately lead to blindness. Regular diabetic retinopathy screening is hence needed for detecting it in advance. In the present situation, a trained clinician or an ophthalmologist is required to identify diabetic retinopathy (DR) by the existence of lesions related to the vascular abnormalities induced by the disease. The ophthalmologist needs to evaluate and examine digital colour fundus images of the retina. So, it is a very tedious and sluggish process. He/She needs more time to diagnose DR. The diagnosis of the disease by any manual means seems to be tiresome and usually results in errors. To overcome this limitation, we propose a model to automate the process of detection of the severity of DR using ensembles of pre-trained models, thus exploring the power of transfer learning in the field of automated diagnosis.

The research group believes that the study helps ophthalmologists to identify diabetic retinopathy at its early stage accurately, as a result, the chance of losing the vision due to diabetic retinopathy can be reduced. The work is done in collaboration with Dr Mulagala Sandhya, Assistant professor, NIT-Warangal. In the future, Dr Mahesh Kumar plans to work on a project related to Privacy-preserving Biometric Authentication.