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/
Taking your knowledge and solving real-world problems is the true intention of education. SRM University-AP is delighted to see Pavan Kumar Chinta achieve this aspiration and obtain $1200 Bounty from Microsoft Bug Bounty Program on November 13, 2021. The
Bounty of $1200 was presented to Pavan by Mr Jason Pessemier, Microsoft Security Program Manager.
Pavan Kumar Chinta has keen enthusiasm with Cyber Security as specialization in the Department of Computer Science and Engineering. Microsoft is not the only company that Pavan has managed to impress.
He has also reported Server-Side Request Forgery (SSRF) a high severity bug , in Mercedes Benz portal, and Groww by finding Broken Authentication and Security Misconfiguration. He was acknowledged by both the organisations and received swags from Groww.
Pavan has spared no space in his investigation of bugs. He was acknowledged by NCIIPC (A unit of NTRO), the Government of India, for discovering Sensitive Information Disclosure like PNR, Name, Mobile Number, etc., of the passengers in IRCTC’s authorised partner. He has also reported bug issues to GeeksforGeeks and Google.
Pavan expressed “Prof. T Ragunathan, (Associate Dean (Engineering) – School of Engineering and Sciences), guided me and encouraged to study the University’s Cyber Security structures as well. With constant guidance from Dr Priyanka, Assistant Professor, Computer Science Engineering, I was able to work with pentesting tools and develop reconnaissance methodologies. This lockdown helped me to discover and build myself. His short-term goal is to secure MAMAA (Meta, Apple, Microsoft, Amazon, and Google’s parent company, Alphabet).
This is an excellent start for a 3rd-year student. We hope to see the series of security risk investigations that began here to stay with him, and that he goes on to make tremendous achievements and makes the internet a safer space.
Padmaja Buggaveeti, an outstanding student from 3rd-year Computer Science Engineering at SRM University-AP, has won Best Paper (Third Prize) and a cash prize of Rs 10000 /- (Ten thousand rupees only) at the 4th ISEA Virtual International Conference on Security and Privacy 2021. Ms Padmaja, under the mentorship of her guide Dr V M Manikandan, presented a paper titled “A Novel Prediction Error Histogram Shifting-based Reversible Data Hiding Scheme for Medical Image Transmission” at the International Conference on Security and Privacy, sponsored by Information Security and Education Awareness Project Phase-II (ISEA-II) and organised by IIT (ISM) Dhanbad, India from October 27-30, 2021.
Abstract: In this paper, Ms Padmaja proposed a new prediction error histogram shifting-based reversible data hiding scheme that ensures a high embedding rate and lossless image recovery. The pixels in the images are categorised into two different classes: white pixels and black pixels based on a checkerboard pattern. To predict the black pixel value for finding the prediction, they used the average of three pixels out of 4-neighbourhood pixels, which are very close to the central pixel value. The prediction error histogram is considered for further data hiding through the histogram shifting approach. An efficient overflow handling technique is used for this. The proposed algorithms were implemented using Matlab-2020, and the experimental study of the proposed scheme is carried out on the standard medical images and natural images.
International Conference on Security and Privacy is a premier conference focused on information security and privacy. This year’s conference was sponsored by Information security and Education Awareness Project Phase-II (ISEA-II) and organised by IIT (ISM) Dhanbad, India, from October 27-30, 2021.
Prize Details: Best Paper (Third Prize) and a cash prize of Rs. 10000 /- (Ten thousand rupees only).
Let’s hear what Ms Padmaja says about her achievement!
I thank Dr V M Manikandan, Assistant Professor in the Department of Computer Science and Engineering, for his valuable guidance in this research work. Winning the best paper award and cash prize in a reputed conference, ISEA-ISAP, has strikingly boosted my confidence to do research. I am grateful to all the faculty members of the CSE Department for their kind support and encouragement throughout my study at SRM University-AP.
SERB-DST projects aim to build up the best systems that would match the best global practices in the area of promotion and funding of basic research. Dr Murali Krishna Enduri, Assistant Professor, Department of Computer Science Engineering at SRM University-AP is yet another faculty member who has obtained a project with a total outlay of ₹18 lacs for a duration of three years. The project is sanctioned under the scheme of Teachers Associateship for Research Excellence (TARE) of SERB-DST, Government of India.
In the duality theory, the dual problem is the problem of checking the duality of a pair of monotone Boolean expressions in disjunctive normal form. Problem: DUAL Input: The complete DNF of two monotone Boolean functions, f and g. Output: If f is dual of g. Whether the problem DUAL admits a polynomial-time algorithm has been one of the challenging open problems in the field of Duality theory of Boolean function for the last 35 years. It is one of the few problems whose polynomial-time solvability is still unknown. So, this problem is important in complexity theory due to its unknown complexity status and it plays a central role in various applications arising in computational logic, data mining, reliability theory, artificial intelligence and game theory etc. The project goal is to solve the dual problem for an interesting class of Boolean functions. Improving the existing complexity results of the DUAL problem for a particular class of Boolean functions is a challenging task.
Few applications of the project are as follows:
Type error diagnosis: Type error diagnosis is the task of generating an explanation for some error. It requires finding all minimal unsatisfiable subsets of a given set of constraints (representing the error) which can be managed via solving the computational variant of Dual in its minimal transversal formulation.
Computational medicine: Optimal vaccination strategies are given a subset of initially infected individuals from a population of individuals and assumptions about disease transmission. The task of computing inclusion minimal vaccination strategies can be solved using the computational variant of Dual in its transversal hypergraph formulation.
The project will be carried out in collaboration with IIT Madras (Dr Jayalal Sarma, Associate Professor, Department of Computer Science & Engineering, Indian Institute of Technology Madras, Chennai, India.)
Being a researcher demands commitment, sustained effort, and a high level of inspiration. Ms Lakshmi Bhargavi from 3rd-year Computer Science Engineering has presented a paper titled “Application of distributed back propagation neural network for dynamic real-time bidding” at the 11th International Advanced Computing Conference (IACC-2021), hosted by the University of Malta, Europe. It is a reputed conference indexed in Scopus and DBLP, having H-index 25.
The research is based on the backend of ad placement on websites which involves finances. The process involves finding the best deal between the dealer and the supplier. In the present system, the bid is prefixed, thereby reducing the possibility of optimal budget utilisation. In comparison, Ms Lakshmi’s research uses an ML algorithm, which is dynamic and learns from the previous bids. This research has resulted in 15% lower costs for the suppliers, thereby saving a lot of money and resulting in a better system.
Abstract — Programmatic buying, popularly known as real-time bidding (RTB), is a key ascendancy in online advertising. While data has become essential for targeting and ad performance, data businesses have become difficult to differentiate due to their proliferation, as well as limitations of attribution. This provides an opportunity for Big Data practitioners to leverage this data and use machine learning to improve efficiency and make more profits. In such an opportunity, the research came up with an application of a machine learning algorithm, distributed back propagation neural network, d-bpnn, to predict bid prices in a real-time bidding system. This paper depicts how d-bpnn is used to achieve less eCPM for advertisers while preserving win rate and budget utilisation.
The 11th International Advanced Computing Conference (IACC-2021) was hosted by the University of Malta, Europe, with an H-index of 25. The conference is indexed in Scopus and DBLP and in collaboration with Springer. A few selected papers will be published in SCOPUS/SCI Indexed journals. The presentation was held on 19th December 2021. It was an ideal platform for people to share views and experiences in Futuristic Research Techniques.
Let’s hear from Ms Lakshmi:
My university has been with me in every step taken towards this conference. I would like to thank the mentoring of Dr Priyanka throughout the writing and presentation of the paper. The immense support of SRM AP management, my professors, HOD, Pro VC sir and VC sir made me reach the level to write a paper confidently and show my knowledge to the world.
I feel honoured to present a good paper at a global conference. The experience and connections I made through this conference are priceless. It gave me new insights into several other technical domains. I believe I gave my best at the unique opportunity given to me and hopefully will continue to deliver good work in future too.
In a major initiative by the students of SRM University-AP, sweaters were distributed among the poor kids living on the streets of Guntur. Under the initiative, students from the 2018 batch of Computer Science Engineering, Civil Engineering, Mechanical Engineering, Electronics and Communication Engineering, and Management Studies visited slum areas on the roadside near Shri Hospital, Guntur and distributed clothing among 44 kids ranging from 3 to 16 years old.
“We know how the families whose sustenance depends on the street have suffered during the pandemic. I am sure these small acts will bring cheers to these families,” said Prof V S Rao– Vice-Chancellor of the university. Prof B V Babu– Dean, School of Engineering and Sciences- highlighted the wonderful gesture saying “I am really glad to see the sensitivities and sensibilities our students have in sharing and giving”. Ms Revathi Balakrishnan– Assistant Director, Student Affairs appreciated the efforts, selfless service and compassion of SRM AP students to the lesser privileged.
There is nothing more satisfying for a university to see its students achieving their dreams, scaling greater heights. What Sourav Sanyal and Miran Junaidi started as a curious, entrepreneurial adventure during their undergraduate studies has turned out to be a robust business plan attracting investors across the world.
OurEye.ai was founded by the duo to provide an automated, end-to-end video intelligence solution for enterprises to monitor surveillance cameras in real-time, leveraging pre-existing CCTV-IP infrastructure. The founders secured an angel investment of $1,20,000 during the initial phase itself from top VC’s and angels in India. On this date, the company has attracted another renowned global accelerator and Investor Y-Combinator with an investment offer of $500K (about INR 3.7 Cr) in OurEye.ai. This remarkable achievement also takes the total amount invested in the company close to $620K (INR 4.7 Cr) in a little more than 12 months since inception. No wonder the duo is celebrating with all their hearts.
Y Combinator (YC) is one of the top American silicon-valley-based startup accelerators that funds the top companies of the world. YC has programmes, resources, and a community that supports founders throughout the company’s life. Airbnb, DoorDash, Stripe, Dropbox, CoinBase, Reddit, Instacart & Ginkgo Bioworks are a few of the prominent unicorns that were part of the past YC collaborations.
“With the beginning of 2022, we embark on a new journey of Bringing Cameras to Life and creating analytics for the offline world with the help of billions of CCTV infrastructure that has existed for over a decade. Now with YC’s support, we wish to do more,” said Miran Junaidi, Co-Founder of the Company.
“It has been the most exciting ride of my life. Starting up with OurEye.ai while in university to graduating a couple of months ago with a major dream come true. We have learnt a lot and learnt it the hard way that ‘Idea isn’t king, execution is’. It has been the best couple of years, and there could not be a better time to start up. After testing and executing the waters on the national market, we are now aiming to expand in the global market and grow at lightspeed.” said Sourav Sanyal, Founder of the Company.
“Y-Combinator picks just about 70 or fewer startups from India over 2 batches every year. This is a major milestone for our students and their startup. Miran and Sourav were extremely passionate about their company from the initial days. That is what motivated the world’s largest startup accelerator to believe in their startup. I am confident that investors and customers around the world will soon reinforce that belief and propel them to unicorn status,” said Dr Sathyanarayanan, President of the University.
“We take immense pride and happiness in our student’s achievements, and this is still just the beginning. I am certain that this milestone will continue to inspire not only our current students but also all the students out there with entrepreneurial ambitions. Here, at SRMAP, our primary focus is to bring out the best among our students, be it research, entrepreneurship or higher studies,” said Prof V S Rao, Vice-chancellor, SRM University-AP.
Skilling up is always encouraged at SRM University-AP. With cutting-edge technology and premier instructors provided to support curious, enthusiastic, and innovative minds, skilling up is fun, fantastic, and comes with fabulous prizes too.
In the Metaverse Spark AR Hackathon conducted by Meta (Facebook), D Yogesh and Yash Agarwal have bagged the winner’s and runner’s up prizes of $300 and $200 respectively. Not just that, 154 of our students would take away from this competition lucrative goodies and participation certificates for their idea submissions.
The CR&CS department organized workshops and trained our students specifically for this event alongside their regular upskilling for placements and other hackathons and contests.
Over a huge number of students who participated in this contest from different corners of the globe, the students of SRMAP walking away with the prizes make a sizable chunk.
We extend our heartfelt wishes to all the participants and hope to see them ace every challenge they face with the knowledge imparted and the skills honed here.
“It was my first hackathon that I participated in and being a part of the SRM AP Hackathon Club has helped and motivated me greatly. Having an interest in AR/VR, this AR hackathon offered me a good opportunity to learn more about the technology. I attended a workshop, conducted by Meta where they introduced us to Augmented Reality. I learned how Instagram filters were made from scratch, and, in addition, I gained technical knowledge about Augmented Reality. I made an Instagram filter that was based on the PUBG Mobile game.
As part of the hackathon, I would like to thank the CR&CS department for the smooth conduction of the hackathon. Also, I would like to thank Priyanka ma’am (link here) and Raghunathan sir (link here) for their time and assistance in the process. I’m very happy that I have acquired a new skill and looking forward to contributing to the Metaverse! Explore the 4.0 technologies”
“The hackathon was about creating an AR effect. I made an AR effect on the theme based upon the popularly known web series “SQUID GAMES”.
A special thanks to one of my friends, S. Lokesh who helped me a lot to make me understand how to make an AR effect. I would like to thank Dr T. Raghunathan and Dr Priyanka from the SRM-AP Hackathon club for encouraging and guiding me to participate in this competition.
I am eagerly waiting for many more Hackathons wherein I can participate under the guidance of the SRM-AP hackathon club. Winning doesn’t matter, but participation matters”
Persistent dry coughing and abnormally high body temperature are identified as more relevant risk factors associated with the COVID-19 crisis. Besides these, maintaining 6 feet social distancing norm was also recognized as a crucial factor. By taking these three features into consideration, the research group consisting of Dr Kshirasagar Sahoo, Assistant Professor, Department of Computer Science and Engineering at SRM University-AP have designed a smart, reliable and efficient COVID-19 tracking device model to monitor suspected infected people in public places. The device named “Smart COVID-Shield” utilising the IoT technology is equipped with a suspender and a belt to be placed over the clothes of the user which constitutes a cough detect unit, temperature detects unit and distance computing unit. Coughing and temperature patterns can be detected through the PIR sensor of the suspender while a belt with an ultrasonic sensor can be used to track people who violate the 6 feet social distancing norms in a real-time environment. A research paper titled “Smart COVID-shield: An IoT Driven Reliable and Automated Prototype for COVID-19 Symptoms Tracking” is published in Computing Journal as a part of the project.
Abstract of the paper:
IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of the COVID-19 pandemic, IoT’s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuring social distancing norms are properly followed. It comprises three modules which include Cough Detect Module (CDM) for dry cough detection, Temperature Detect module (TDM) for high-temperature monitoring, and Distance Compute Module (DCM) to track social distancing norm violator. The device comprises a combination of a lightweight fabric suspender worn around the shoulders and a flexible belt wrapped around the waist. The suspender is equipped with a passive infrared (PIR) sensor and temperature sensor to monitor persistent coughing patterns and high body temperature and the ultra-sonic sensor verify 6 feet distance for tracking an individual’s social distancing norms. The developed model is implemented in an aluminium factory to verify its effectiveness. Results obtained were promising and reliable when compared to conventional manual procedures. The model accurately reported when body temperature rises. It outperformed thermal gun as it accurately recorded a mean of only 4.65 candidates with higher body temperature as compared to 8.59% with the thermal gun. A significant reduction of 3.61% on social distance violators was observed. Besides this, the latency delay of 10.32 s was manageable with a participant count of over 800 which makes it scalable.
This is a collaborative work of H. K. Tripathy, S. Mishra from School of Computer Engineering, KIIT Deemed to Be University, Bhubaneswar, Odisha, India and A. Nayyar from Graduate School, Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam.
Early detection of the coronavirus symptoms is one feasible means to restrict the spreading of coronavirus. The IoT enabled “Smart COVID-Shield” is developed and implemented in this study to monitor social distancing violators in crowded places. In future, all other COVID symptoms can be incorporated into the model to make it more effective and real-time. An emergency alert module can also be included as part of the model to create awareness among people. An enhanced security mechanism can be further embedded in the working model to prevent any data compromise and dilution in data availability.
SRM University-AP promotes translational research that can add value to society making lives better. Following the tradition, Dr Priyanka Singh, Assistant Professor and her PhD student Ms Jyothsna Devi from the Department of Computer Science and Engineering have published their recent research work “Region-based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT” in ‘IEEE Access journal’ (Impact Factor of 3.36).
Dr Priyanka’s research focuses on the healthcare industry that is rapidly transforming medical images into ones that operate in real-time environments (IoMT, IoT, Cloud and so on). The research is proposed to address security and integrity issues in medical image transmission on IoT and edge healthcare applications with a lossless reversible region-based MIW scheme.
In this era of technological advancement, medical images and patient information are widely transmitted through a public transmission channel on the Internet of Medical Things (IoMT) applications. While sharing medical images or electronic patient records (EPR) through a public network, they can get tampered with or manipulated, leading to the wrong diagnosis by the medical consultants. Confidentiality of the patient record is also a major concern. Thus, it is very important to ensure the authenticity, authorisation, integrity, and confidentiality of the information during transmission.
With the growth in Internet and digital technology, the Internet of Medical Things (IoMT) and Telemedicine have become buzzwords in healthcare. A large number of medical images and information are shared through a public network in these applications. This paper proposes a region-based hybrid Medical Image Watermarking (MIW) scheme to ensure the authenticity, authorisation, integrity, and confidentiality of the medical images transmitted through a public network in IoMT. In the proposed scheme, the medical image is segmented into Region of Interest (RoI) and Region of Non-Interest (RoNI).
RoI tamper detection and recovery bits are embedded in RoI to ensure the integrity of the medical image. RoI is watermarked using adaptive Least Significant Bit (LSB) substitution with respect to the hiding capacity map for higher RoI imperceptibility and accuracy in tamper detection and recovery. Electronic Patient Record (EPR) is compressed using Huffman coding and encrypted using a pseudo-random key (secret key) to provide higher confidentiality and payload. Encrypted EPR, QR code of hospital logo and RoI recovery bits are embedded in RoNI using Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD) hybrid transforms to achieve a robust watermark.
The proposed scheme is tested under various geometric and non-geometric attacks such as filtering, compression, rotation, salt and pepper noise and shearing. The evaluation results demonstrate that the proposed scheme has high imperceptibility, robustness, security, payload, tamper detection, and recovery accuracy under image processing attacks. Therefore, the proposed scheme can be used in the transmission of medical images and EPR in IoMT. The relevance of the proposed scheme is established by its superior performance in comparison to some of the popular existing schemes.