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://arc2025.srmap.edu.in/about/crcs/

SRM University-AP is pleased to announce that Dr V M Manikandan, Assistant Professor in the Department of Computer Science and Engineering, along with his research scholar Shaiju Panchikkil, published a paper titled, “A convolutional neural network model based reversible data hiding scheme in encrypted images with block-wise Arnold transform” in Optik Journal, Elsevier Publications.

The proposed scheme can be used for embedding electronic patient reports (EPR) in the medical image itself while transmitting, and at the receiver side the reports can be extracted along with the lossless recovery of the medical images.

About the Research:

Data hiding or information hiding is a well-explored way to secure some secret data by concealing it in a digital cover medium. The reversible data hiding (RDH) is a recent advancement in the field of data hiding in which the cover medium can be restored during the extraction of hidden messages at the receiver side. The RDH schemes are widely used in medical image transmission and cloud computing. Recently, research in the field of RDH in encrypted images got much attention to improve the efficiency parameters such as embedding rate and bit error rate without compromising the lossless recovery of the images. In this research paper, we propose a new RDH scheme in encrypted images which utilizes the Arnold scrambling technique for data hiding. A convolutional neural network (CNN) model is trained and used to extract the hidden message along with the recovery of the original image. The experimental study and result analysis of the proposed scheme are carried out on the USC-SIPI image dataset managed by the University of Southern California.

Dr Manikandan collaborated with Prof. Yu-Dong Zhang, Professor in School of Computing and Mathematical Sciences, University of Leicester, UK collaborated for this research work. In the future, Dr Manikandan’s research will be more focussed on coming up with new reversible data hiding schemes in encrypted images with better embedding rate and bit error.