Coveted Marquee offers up to ₹42.5 LPA chase our students
Purab 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/
- Published in CR&CS NEWS, CSE NEWS, ECE NEWS, News
Detection of diabetic retinopathy (DR) severity from fundus photographs
A 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.
- Published in Computer Science News, Departmental News, News, Research News
Top 5% most cited author: Royal Society of Chemistry
SRM University-AP could not be more proud to announce that Dr S Mannathan, Head of Department of Chemistry has made it to the top 5% in the list of the Most Cited Authors by the Royal Society of Chemistry. It is inspiring to have a faculty member in our midst whose work has helped and facilitated the research of so many others.
Dr Mannathan obtained his doctorate from National Tsing Hua University, Taiwan. His research interests primarily lie in Metal-catalyzed organic transformation reactions, Multicomponent reactions, and Asymmetric synthesis. His research followed by scientists all over the world leading him to become one of the top 5% authors in terms of citations
In the field of Transition Metal Complexes as Catalysts in Organic Reactions, he particularly leans towards ‘Nickel-and cobalt-catalyzed three-component coupling and reductive coupling reactions’, and ‘Palladium-catalyzed reductive arylation’. Similarly, in Asymmetric Synthesis, he favours research into ‘Asymmetric reductive Heck reaction for the synthesis of chiral indanones’, and ‘Synthesis of bicyclic tertiary alcohols and its related asymmetric version via reductive [3+2] cycloaddition reaction by using chiral cobalt complexes.’
About the top 5% most cited paper:
In this work, he reported the synthesis and application of a Zn-Bp-BTC MOF (Bp – 4,4′-bipyridine; BTC – 1,3,5-benzene tricarboxylic acid; MOF – metal organic framework) as a heterogeneous catalyst for mediating organic reactions. Initial reaction conditions were optimized for the Knoevenagel condensation reaction using Zn-Bp-BTC as a heterogeneous catalyst. Various factors such as the effect of solvent, temperature and catalyst loading were evaluated. Although the reaction proceeded at room temperature using methanol as the solvent, 60 °C offered the best yield in a shorter duration. Under optimized reaction conditions, a wide range of α,β-unsaturated dicyano compounds were prepared from the corresponding carbonyl precursor and malononitrile, the active methylene counterpart. A systematic investigation was also carried out to assess the role of the ligand and metal salt in the Knoevenagel condensation reaction. It was found that the Zn-Bp-BTC MOF catalyzed the reaction efficiently in comparison to its analogue Zn-BTC MOF and precursor Zn(NO 3 ) 2 ·6H 2 O. Finally, catalytic recycling and stability studies showed that the catalyst is able to mediate the reaction for up to five consecutive cycles without undergoing any significant chemical or morphological changes. Further, the catalyst was tested for its efficacy in a multicomponent reaction (MCR). An MCR with the Zn-Bp-BTC MOF as the catalyst afforded good yields and there was no reaction in the absence of the catalyst. Similarly, the catalyst was tested for its efficiency in benzimidazole synthesis.
Dr Mannathan did this research in collaboration with Dr. Kathiresan Murugavel, Scientist, Electro Organic Division, CSIR-Central Electrochemical Research Institute (Govt of India), Karaikudi.
- Published in Chemistry-news, Departmental News, News, Research News
Jairam Ramesh shared his wisdom “On the Journey of Writing”
SRM University – AP, the multidisciplinary research-intensive university located at the heart of Amaravathi, initiated another unique programme titled “University Eminent Lecture Series for Liberal Arts and Social Sciences” today with Mr Jairam Ramesh – Member of Parliament, Rajya Sabha. Mr Ramesh participated in a vigorous interactive discussion “On the Journey of Writing”. Ramesh shared his process of and insights into writing and interacted with the members of the audience comprising faculty, students, scholars and attendees across the country. His generosity in terms of sharing tips for better writing, developing principles of writing, being well-disciplined about writing, and persisting and being patient with the process inspired others.
Ramesh also spoke about his latest book The Light of Asia: The Poem That Defined The Buddha sharing that it was written during the lockdown period. His daily routine of sticking to a certain number of words or any other form of goal had made it easier for him to produce the work. This particular book is quite different in nature from its predecessors and reflects the same positive mindset that is an attribute of the author’s persona itself.
Regarding rejections of writing, he advised that failure should never be seen as something that deters a writer. He shared that his own journey began quite late and that his own writing goes through at least three drafts before it gets published. He emphasised that it happens because writing is an iterative process, in engineering terminology, and not a linear process, and that is what makes it a process full of surprises. He put a great emphasis on reading as well. To be a great writer, first, one needs to invest one’s time in order to be a good reader. He further shared his thought that this generation lacks the discipline of writing. It is never easy to communicate with readers until one is able to understand the mass psyche as writing is not only about expressing one’s point of view but also understanding the psychology of the targetted readers.
The universities need to establish a system whereby they can encourage students to read a body of work from disciplines other than their own and produce a paper at the end of their reading, Ramesh argued. The engineering students need to know what is happening in economics or literature, for instance. Similarly, students studying literature should know what is happening in sciences. This cross-fertilisation would help students get exposed to thinking in general.
The audience asked him several questions about the sources that can be consulted for getting better at writing, ways of integrating feedback into writing, means to writing with objectivity, balancing conscious effort with spontaneity and so on. His ideas inspired students and faculty alike.
Prof V S Rao, Vice-Chancellor of the University, who was there to welcome Ramesh kept interacting with him throughout the programme. He extended an invitation to Ramesh to visit the university early next year to motivate the students in person. The event ended with a vote of thanks by Faculty Coordinator Dr Supriya Daniel.
- Published in News, University Eminent Lecture Series