Dr. Shriram K. Vasudevan is an M Tech, MBA, PhD with over 9 years of industrial and academic experience. He received his master’s degree and Doctorate in the field of Embedded Systems. He has worked with major multinational companies like Wipro and Aricent Technologies; and been to USA on a technical assignment while functioning for WIPRO technologies. He was also closely associated with VIT University. Presently, he is employed at Amrita University and serves as an Assistant Professor – Department of Computer Science and Engineering. He has authored/co-authored 23 books in various fields and is currently authoring 3 more books. He has published 92 international papers and still counting. He, along with his students had demonstrated the use of a device that binds the concept of augmented reality at human fingers and had been to San Francisco related to the project. He had been to Dubai, UAE and has been trained by Barcode Gulf LLC on handheld devices. Being an innovative “techie” himself, he not only gets updated with new technology every now and then, but also persuades his students to put forward their ideas and supports them enormously to get it implemented. Students being a vital backup for him; he has guided so many of them to get their ideas patented, publish papers in famous journals and do creative projects under his supervision. He believes in transferring the knowledge one has learnt, to another person and working with sheer hard work and dedication to achieve the ultimate goal. Mentioning just a few prominent achievements among the many; he was awarded by Wipro Technologies, Infosys, and VIT University for his technical skills. His inventions obtained him the inventor award from intellectual ventures. Although a person with a general flare for much of the technical concepts; he showcases strong interest in the areas of Operating Systems, Embedded Systems and Networking.

Awards and Recognitions:

  • Recipient of Young Engineer 2015-16 from Institute of Engineers (India) in computer science division.
  • Selected for Indian Academy of Sciences Summer Fellowship - 2016
  • World Record Holder – With Sister Subashri Vasudevan – Only Siblings in the world to have authored 9 books together. Entry in, Unique Book of World Records.
  • Appreciated by Texas Instruments for my guidance for innovation contest.
  • The startup I mentor, GetVu, has been awarded as “one of the top 30 start-ups” for the year 2014-15 by Amrita TBI.
  • Winner of ICTACT’s Best Techno Faculty Award (Special Trend Setter)2015.  (ICTACT is an organization created jointly by Govt of TamilNadu and Govt of India)
  • Winner of Amrita TBI-TIDE Innovation Contest – bright idea award -  2014-2015, An event organized by Amrita Technology Business Incubator for all the five campuses of Amrita University.
  • Winner of Best Academic Researcher – 2014, from ASDF @ Thailand.
  • Winner of Shri. P.K. DAS Memorial Award – Best Faculty CSE – Junior – NGI, Coimbatore – 2013. 
  • Distinguished Facilitator Award (Technical) – Inspire Faculty award by Infosys technologies, Bangalore @ 2013.
  • “Research Award ” – by  Amrita University @ 2013,14 and 15 
  • Winner of ASDF – Best Computer Science Faculty Global Award – 2013. (http://asdf.org.in/asdf-global-awards-titlers/)
  • Facilitated by Robert Bosch for making students win in Inscribe 2012 competition.
  • “Best Performer” rating for the year 2011 from ARICENT Technologies.
  • Inventor Award”by Intellectual Ventures India @ 2010. (Invention ID:IN-811577)
  • Research Award” by VIT University @ 2010.
  • “Feather in My Cap” by Wipro Technologies @ 2007.



Publication Type: Journal Article
Year of Publication Publication Type Title
2016 Journal Article Pa Ravali, Vasudevan, S. K., and Sundaram, R. M. Dc, “Open Air Interface - Adaptability perspective”, Indian Journal of Science and Technology, vol. 9, 2016.[Abstract]

This paper presents the working of Open Air Interface, advantages and limitations of an Open Air Interface. Open Air Interface is an outcome of experimental research by the Mobile Communications Department at EURECOM. The primary aim of the Open Air Interface technology is to improve the emerging industrial air interface standards such as LTE and 5G regarding spectral, algorithmic and protocol efficiency. In this OAI development the operators can access the software and get the hardware to a large scale networks making it open source and experimenting on original ideas in probable radio propagation and applications. This paper presents the working of OpenAirInterface, advantages and limitations of an Open Air Interface. It also presents the support it is giving to the network world and how it can be improvised.

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2016 Journal Article S. K. Vasudevan, Venkatachalam, K., Anandaram, S., and Menon, A. J., “A novel method for circuit recognition through image processing techniques”, Asian Journal of Information Technology, vol. 15, pp. 1146-1150, 2016.[Abstract]

Before building any electronics product or equipment it is well known that, the person building it will finalize the circuit after lot of simulation with simulation tools or relevant coding with electronics coding packages. One needs to be conversant with simulation tools for electronics or coding or both. It is not only complex, it is also time consuming. We have come up with an innovative and effective solution for the above said problem. Here, with our proposed solution, one can draw the circuit that is being thought of in a paper. The image can be fed into our product (application) which will generate net list for the drawn circuit. This will make the life easier and save a lot of time. One can test a lot of combinations of the components of the circuit without having necessity to spend time with simulation or coding. In the past, the inventions related to this area have identified only RLC components. We have enhanced the quality and results with identification of more components, using machine learning and image processing techniques. Usage of machine learning has not only fetched good results but also it increased the chances of identifying more components with ease and accuracy. More »»
2016 Journal Article S. K. Vasudevan, Anandaram, S., Menon, A. J., and Aravinth, A., “A novel improved honey bee based load balancing technique in cloud computing environment”, Asian Journal of Information Technology, vol. 15, pp. 1425-1430, 2016.[Abstract]

To come up with an effective load balancing algorithm in cloud environment which provides sharing the available resources systematically across the network. In this research, an optimized dynamic algorithm is proposed where it makes use of the concept of Honeybee algorithm which is categorized under the dynamic load balancing category. The proposed algorithm provides better makespan which is one of the main features in load balancing.The proposed algorithm is simulated using two simulators namely cloudsim and workflow. Somewhere, it compares both the dependent as well as independent nature of tasks. The main goal of load balancing algorithms in clouds is to reduce the makespan. Here, the algorithm performs with a reduced makespan for both type of tasks. Due to the heterogeneity behaviour of cloud, dynamic algorithms work better when compared to the static methods. The proposed algorithm is dynamic in nature and provides reduced makespan and it uses the resources efficiently. Our future research is based on proposing algorithm considering the other QS factorsof load balancing for both in dependent and independent nature of tasks. More »»
2015 Journal Article Sa Swathi, Sri, PbPurnima, Abhishek, S. Nb, and Vasudevan, S. K., “An extensive review on generations of growth in telecommunication”, International Journal of Applied Engineering Research, vol. 10, pp. 3049-3060, 2015.[Abstract]

Internet has become an integral part of our daily life. Since 1830 people has been communicating with one another. Voice communication, the first form of communication, started in 1840's through wires. Around 1910's communication through air, wireless telephony came into existence, from which the pre-cellular communication came into use. Then onwards, every decade saw an evolution in wireless technology. With every new generation of network, consumer is looking forward for better Quality of Service and higher technology. This article is a comparison between the various generations of wireless network. It is essential for any human to have some basic knowledge about the technology he is using. In spite of many articles available this would help you better to know in detail about the various technologies behind our day-to-day communications. The advantages over the previous generations, the services offered, and the speed of connectivity are made clear in this article. The field of wireless communication is an ever expanding and always flourishing field. Research and development will always be looking forward for better generation with much advanced technology to provide better quality of service and also increase efficiency. So this article would also help you to understand the basics and the current situation and also develop an interest in the ever expanding field. © Research India Publications.

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2015 Journal Article V. Parthasarathi, Surya, M., Akshay, B., K. Siva, M., and Vasudevan, S. K., “Smart control of traffic signal system using image processing”, Indian Journal of Science and Technology, vol. 8, 2015.[Abstract]

Background/Objectives: This paper focus on the necessity of intelligent traffic system and the peculiar way of implementation with embedded system tools. Here it is implemented using an object counting methods and detection of emergency vehicles simultaneously thereby control the traffic signals based on the priority outcome. Methods/Statistical analysis: Presently various system do provide a cost effective solution, but the rate of successful operation is bad. Inductive loop detectors installed under surface, this fails in case of poor road condition and so. In the other system, the density is found by installing IR detectors along the side of the lane. These systems operate less efficiently where they are not applicable in the real time process. This method uses image acquisition method using a real time live video stream and the algorithm is processed using MATLAB. Results/Findings: The results obtained with the prototype are much encouraging and the system does help the present traffic control system to be more efficient. Conclusion/Application: Computer Vision being one of the most researched are for the future technologies, this system will add gain to this sector with efficient operation replacing the current primitive timer traffic control system. This helps the emergency casualties to be attended quickly without panic of traffic congestion.

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2015 Journal Article R. B. Sundaram, Vasudevan, S. K., Aravind, E., Karthick, G., and Harithaa, S., “Smart car design using RFID”, Indian Journal of Science and Technology, vol. 8, 2015.[Abstract]

Background/Objective: The Indian automobile market has seen a drastic change in its trends over the past decade with several road commuters opting for mid-range sedans and SUVs, owing to the safety features of cars that two-wheelers can never provide. At times, the driver is not fully aware of his surroundings, leading to inconveniences and compromises on safety. Methods/Statistical Analysis: This problem has several facets to it. Blocked vision due to a large vehicle in front is a major hassle that persists especially during heavy traffic, in turnings and in narrow lanes. Bright headlights at night cause discomfort and troubled vision to drivers. It is the worst nightmare of a "fuel-conscious" driver to get caught in a traffic jam when he could have chosen a different lane and or to be forced to return back due to blocked roads. The most frustrating experience for any driver would be to get stuck under the sweltering sun in a road either due to a flat tire or an empty fuel tank. Result/Findings: These issues could be solved if the driver is given constant inputs about vehicles near him and the fuel level, battery conditions and tire pressure status. Providing information from other vehicles could be facilitated through vehicle-to-vehicle communication. Conclusion/Application: These applications can be incorporated into the future self-driving cars. This application also increases the safety of the drivers thereby decreasing the road accidents.

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2015 Journal Article T. V. K. Sushil Kumar, Chandrasekhar, J., Vasudevan, S. K., and Balachandran, A., “An analysis of effect of wing walls on natural ventilation”, Indian Journal of Science and Technology, vol. 8, 2015.[Abstract]

Background/Objectives: The air flow inside a building due to natural ventilation consists of recirculation regions and a main flow between the inlet and outlet. Recirculation regions are characterized by low velocities resulting in thermal discomfort for the occupants. Winged walls are basically protrusions from external walls to improve the process of natural ventilation. Existing literature on wing walls is on main air flow pattern only. Methods/Statistical Analysis: In this paper, CFD was used to compare effectiveness of configurations suggested in the literature. Information was also obtained about the recirculation regions. Further conventional wing walls were modified and its effectiveness presented. Findings: Valuable information on recirculation regions can be accomplished through this innovation. Optimum dimension of wing walls to improve natural ventilation has also been achieved through the research. More than all these, the information obtained from this research can be used for designing energy efficient buildings.

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2015 Journal Article K. V. S. Jaharsh Samayan, Vasudevan, S. K., and Balachandran, A., “Dynamic tracking of web activity accessed by users using cookies”, Research Journal of Applied Sciences, Engineering and Technology, vol. 10, pp. 841-843, 2015.[Abstract]

The motive of this study is to suggest a protocol which can be implemented to observe the activities of any node within a network whose contribution to the organization needs to be measured. Many associates working in any organization misuse the resources allocated to them and waste their working time in unproductive work which is of no use to the organization. In order to tackle this problem the dynamic approach in monitoring web pages accessed by user using cookies gives a very efficient way of tracking all the activities of the individual and store in cookies which are generated based on their recent web activity and display a statistical information of how the users web activity for the time period has been utilized for every IP-address in the network. In a ever challenging dynamic world monitoring the productivity of the associates in the organization plays an utmost important role. © Maxwell Scientific Organization, 2015.

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2015 Journal Article S. Athira, Gopal, S., Krishna, G. H. G., and Vasudevan, S. K., “An innovative and effective approach for sclera detection”, Indian Journal of Science and Technology, vol. 8, 2015.[Abstract]

Background/Objectives: Providing security to systems is one of the major challenges faced in day-to-day life. Biometrics plays a vital role in ensuring security. Out of the different existing recognition systems available - namely face, finger, gait, retina and so on, sclera recognition system gives out better performance. Sclera is the white part of the eye, which is unique and consistent in nature because of which it is chosen for recognition. In this paper, we analyzed the existing sclera recognition system with both human and animal eye images. Methods/Statistical Analysis: In this paper, we compared the performance of the algorithm with both human and animal eye images. The animals we considered for the algorithm analysis include deer, buffalo and lion. Human eyes are the most observable due to the presence of more sclera area. The blood vessel patterns present in the sclera region are stable over lifetime and unique person by person, thus making it appropriate for identification. The results show that the algorithm works better for human eye. Results/Findings: In this paper, we compared the extracted input vessel structure with that in the database and verify whether the input is authorized or not. It is observed that the system underperforms for animal eye images, whereas it shows an acceptable performance with human eye images. Conclusion/Application: The results prove that the algorithm works satisfactorily for identifying human. It can be incorporated with other recognition systems to build up a multimodal biometric system that can provide better security than the existing systems.

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2015 Journal Article P. Subathra, Deepika, R., Yamini, K., Arunprasad, P., and Vasudevan, S. K., “A study of open source data mining tools and its applications”, Research Journal of Applied Sciences, Engineering and Technology, vol. 10, pp. 1108-1132, 2015.[Abstract]

Data Mining is a technology that is used for the process of analyzing and summarizing useful information from different perspectives of data. The importance of choosing data mining software tools for the developing applications using mining algorithms has led to the analysis of the commercially available open source data mining tools. The study discusses about the following likeness of the data mining tools-KNIME, WEKA, ORANGE, R Tool and Rapid Miner. The Historical Development and state-of-art; (i) The Applications supported, (ii) Data mining algorithms are supported by each tool, (iii) The pre-requisites and the procedures to install a tool, (iv) The input file format supported by each tool. To extract useful information from these data effectively and efficiently, data mining tools are used. The availability of many open source data mining tools, there is an increasing challenge in deciding upon the apace-updated tools for a given application. This study has provided a brief study about the open source knowledge discovery tools with their installation process, algorithms support and input file formats support. © Maxwell Scientific Organization, 2015.

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2014 Journal Article R. B. Sundaram, Aravind, E., Harithaa, S., Karthick, G., and Vasudevan, S. K., “Revolutionizing technology prioritizing emergency vehicles in traffic”, Research Journal of Applied Sciences, Engineering and Technology, vol. 8, pp. 886-891, 2014.[Abstract]

The following study brings to the fore a technology exclusively engineered to eradicate the snags and inadequacies persisting in the existing system of traffic control and thus aims to provide a sophisticated operation and uninterrupted course for the emergency vehicles. The traffic in Indian roads has shown a tremendous rise over the years and the conventional pre-timed traffic signals and frequent traffic congestions, delaying the road commuters, have led to outrage and chaos on several occasions. This traffic management system has proved a nuisance for the effective operation of emergency vehicles, with the public adding to the woes, as each driver races along with the signal, unmindful of the emergency vehicles. A life threatening scenario ensues when emergency vehicles get blocked by the traffic, due to inefficient traffic management system and subsequently these emergency vehicles get delayed. The existing system requires manual interruption to guide other vehicles when an emergency vehicle passes through traffic junctions. It is therefore essential to implement a self-regulating and automated system in the traffic signals to facilitate smooth movement of emergency vehicles without posing a danger to other vehicles. The innovative traffic control system devised by us provides a truly dependable alternative to monitoring traffic flow when emergency vehicles pass by.

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2013 Journal Article Ga Murugesan, Vasudevan, S. K., Ramachandran, Sc, Vasudevan, Sd, and Arumugam, Be, “Vehicle identification using fuzzy adaline neural network”, Journal of Computer Science, vol. 9, pp. 757-762, 2013.[Abstract]

Video surveillance is an important aspect in today's world, where a particular scene of area requires monitoring to avoid terrorist attacks and unauthorized entries. Vehicle recognition is an important area in object tracking and recognition. Objects may be of rigid or non-rigid in nature with varying velocity and have different features. Important features like shape, logo, color and texture are complex in nature. Hence there is a need of better algorithm for detecting and identifying the objects like car. A new method is proposed for recognizing the cars present in the video. At first the features like shape is extracted using moments, logo using the Scale Invariant Feature Transform (SIFT) and the RGB color values of the car body. Using these features the recognition is carried out to classify the type of car. Recognition of cars has range of application like, military surveillance, traffic management, autonomous navigation system, auto parking. © 2013 Science Publications.

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2013 Journal Article Ra Sivaraman, Vasudevan, S. K., Kannegulla, Ac, and Reddy, AdSalivahana, “Sensor based smart traffic regulatory/control system”, Information Technology Journal, vol. 12, pp. 1863-1867, 2013.[Abstract]

This project aims to develop a smart and secured traffic regulatory system. With this implementation in place, the cities and metros can become a better comfortable place to drive and live in. The system should be intelligent enough to make perfect decisions in varying the signal timings and help the driver to proceed towards the road in which the traffic intensity is less. Regulating the traffic through a smart system should provide better traffic control but at the same time should be inexpensive, so here the proposed system will provide a smart and inexpensive way to regulate traffic. In the recent years, due to the enormous growth of automobile industry, vehicles have become plenty in every city. The traffic signals in many countries are controlled by traffic police manually. This makes delay in traffic flow since the concerned person need sufficient time to judge and in such high traffic it is very difficult to observe the presence of emergency vehicles. The proposed system will detect the density of traffic on each road and changes the signal timings as per the density. Only changing the signals may not help the driver in some emergency situations. So, here comes the smart point of the project. At every junction LED board will be displayed which shows the intensity of traffic and as per requirement the driver can decide his path of convenience. The entire system maintains free flow of traffic and thus regulate without manual operations. © 2031 Asian Network for Scientific Information.

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Publication Type: Book
Year of Publication Publication Type Title
2016 Book S. K. Vasudevan, Vasudevan, S., Velusamy, K., and N. Radhika, Dictionary of Computer Science. New Delhi : IK International Publishing, 2016, p. 306.[Abstract]

Very often we encounter words from the computing world whose precise meaning tends to elude us! More and more computer jargons are cropping up almost every other day. This dictionary is conceptualized realizing this need for access to a ready reference resource. The authors have strived to develop this dictionary of computer terminologies in a novel way. It does not only give the pithy meaning, connotation or context, but it also includes witty cartoons and simple images and diagrams to make its usage a “learn and fun” experience. With its exciting way of treatment of the terminologies, this dictionary will be useful to anybody who has to deal with computers in a day to day activity. This could be students of all grades, teachers, parents, professionals and so on.

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2016 Book S. K. Vasudevan, Kothari, D. P., Vasudevan, S., and D., S. R. M., Linux (International Edition from UK), International Edition from UK. New Academic Science Publishing House (UK), 2016.
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