The prodigious twins of SRM University-AP proved their mettle again, cracking job offers with the highest salary of the season. Rajarshi and Saptarshi Mazumder from the Department of Computer Science and Engineering have been offered the positions of Technical Engineers-IT at PVP Inc Japan, a strategic partner of Google, Japan, with a pay package of 50 LPA. SRM University-AP becomes the first private university in India to achieve twin foreign placement in the maiden batch

Coming from a small town in West Bengal, the twins joined SRM University-AP with dreams in their eyes. They struggled with their schooling due to the transferable nature of their father’s job, but it also prepared them with the mindset to overcome any obstacle that comes in their way to excellence. Rajarshi and Saptarshi found their educational abode in SRM University-AP, where their dreams and ideas were encouraged and nurtured.

“Every moment at SRM-AP was so defining. Academics and research, 24×7 student-run Next Tech Lab, Semester Abroad and Entrepreneurship at UC Berkeley, USA and winning Hackathon in Bay area competing with MIT, Stanford and Carnegie Mellon gave us the wide exposure of the real world, which would not have been possible without the continuous support of our faculty and university management. Now, it is time that we start our life in Japan, and we are very much looking forward to the new chapter,” said Rajarshi.

SRM University-AP is proud of its first graduating batch with a 100% Placement record, with most students getting multiple offers from reputed companies. 71% of students got Marquee, Super Dream, and Dream offers of ₹20+, ₹ 10+ and ₹ 5+ lakhs, respectively; and 600+ companies visited the university for recruitment. Top recruiters include Amazon, PayPal, Barclay, American Express, Bank America, Walmart, AB InBev, TCS, Cognizant, Infosys, L&T, AIS, JSW and Adani. The students of the Department of Computer Science and Engineering have bagged an attractive average salary of 8 LPA.

“SRM University-AP is founded with the vision to offer quality engineers, entrepreneurs and professionals to the country. In the Maiden Placement Drive itself, our graduates have shown predominance making the university a favourable destination for top industrial recruiters,” said Prof V S Rao, Vice-Chancellor, SRM University-AP.

Prof Ragunathan, Associate Dean in the School of Engineering and Sciences and Head of the Department of Computer Science and Engineering shared that our university has acquired the brand name as a prominent tech hub to the recruiters searching for the choicest engineers. “We are certain that in the coming years, the number of recruiters visiting will further increase, creating a record in the country”, he added.

Mr Vivekanandan, Assistant Director, Corporate Relations and Career Services, said that the department always looks for the best opportunities for the students. The aptitude of CSE students manifested in their internships, projects, curricular and extra-curricular endeavours naturally drew the attention of best recruiters to SRM University-AP.

Dr Satish Anamalamudi, Assistant Professor, in the Department of Computer Science and Engineering has published a research paper titled “Cooperative Caching Scheme for Machine-to-Machine Information-Centric IoT Networks” in the IEEE Canadian Journal of Electrical and Computer Engineering. The research paper is co-authored by Dr Mohammed Saeed Alkatheiri and Dr Eesa Al Solami of University of Jeddah, Saudi Arabia and Dr Abdur Rashid Sangi of Yibin University, China.

According to the authors, Information-centric networks (ICNs), a foreseen future Internet architecture, focuses on the application content rather than its hosting location. With this, the existing Internet protocol (IP)-based host-centric communication model can be transformed into a content-centric communication model with the support of in-network caching, name-based routing, and location-independent content domain names. Recently, ICN is proposed to be a potential Internet architecture for Internet-of-Things (IoT) networks due to minimal retrieval delays and reduced load on the data producer. Content retrieval from IoT nodes plays a prominent role in enhancing the performance of the ICN-IoT networks. The in-network caching of ICN enhances the data availability in the network, overcome the issue of single-point failure, and improve IoT devices power efficiency. In this work, the authors explore a cooperative caching scheme for information-centric-IoT networks to optimize the cache hit with the support of a caching network topology model, a content popularity model, and an exogenous request access model.

Dr Satish says that ICN proposes to shift the existing complex Internet model to a simple and generic one. This approach considers the content as the first-class network citizen. In ICN, contents are addressed and routed by their unique names and are decoupled from the address of the node storing it. In this way, consumers ask for information by its name rather than its locality address. In ICN, every content is identified by using a unique, persistent and location-independent name. A wide set of IoT applications is inherently information-centric. In fact, the majority of IoT applications target data regardless of its source. For instance, environmental monitoring applications are oblivious to the information origin. ICN is a promising candidate for IoT environments. It can natively support IoT scenarios while improving data dissemination and reducing network complexity.

Dr Satish Anamalamudi had been a Research Engineer with Huawei Technologies, Beijing, China. He also worked with the Huaiyin Institute of Technology (HYIT), Huai’an, China, until February 2018. He is currently an Assistant Professor with the Department of Computer Science and Engineering, SRM University-AP, Andhra Pradesh. His research interests include the common-control-channel design for MAC and routing protocols in cognitive radio ad hoc networks, MAC, and routing protocol design of Internet of Things (IoT) and 5G networks.

Read the full paper here: https://doi.org/10.1109/ICJECE.2020.3046844