Qualification: 
M.Tech, B-Tech
m_rajesh@blr.amrita.edu

Rajesh M. currently serves as Assistant Professor in the Department of Computer Science and Engineering, Amrita School of Engineering, Bengaluru Campus. He is with amrita for the last 16 years. He received his B.Tech. degree in Computer Science and Engineering from Calicut University, Kerala. He received his M.Tech. degree in Computer Science and Engineering from Visvesvaraya Technological University (VTU), Karnataka. Currently he is pursuing his Ph.D. research work in the domain of Robotics and Wireless Sensor Networks. His areas of research include Robotics, Wireless Sensor Networks, Internet of Things (IoT). He is a member of Computer Society of India (CSI).

Education

  • Pursuing Ph.D. in Robotics
    From: Amrita Vishwa Vidyapeetham
  • 2009: Tech. in Computer Science and Engineering
    From: Visvesvaraya Technological University (VTU), Karnataka
  • 2004: Tech. in Computer Science and Engineering
    From: Calicut University, Kerala

Professional Appointments

Year

Affiliation

2004

Assistant Professor (Sr. Gr.)

Department of Computer Science and Engineering

Amrita School of Engineering, Bengaluru Campus

Major Research Interests

  • Robotics
  • Wireless Sensor Networks
  • Internet of Things

Membership in Professional Bodies

  • Computer Society of India (CSI)

Publications

Publication Type: Book Chapter

Year of Publication Title

2020

Sasikala T, Rajesh M, and B. Sreevidya, “Prediction of Academic Performance of Alcoholic Students Using Data Mining Techniques”, in Cognitive Informatics and Soft Computing, vol. 1040, P. Kumar Mallick, Balas, V. Emilia, Bhoi, A. Kumar, and Chae, G. - S., Eds. Singapore: Springer Singapore, 2020, pp. 141-148.[Abstract]


Alcohol consumption by students has become a serious issue nowadays. Addiction to alcohol leads to the poor academic performance of students. This paper describes few algorithms that help to improve the efficiency of academic performance of students addicted to alcohol. In the paper, we are using one of the popular Data Mining technique–-``Prediction'' and finding out the best algorithm among other algorithms. Our project is to analyze the academic excellence of the college professionals by making use of WEKA toolkit and R Studio. We implement this project by making use of alcohol consumption by student datasets provided by kaggle website. It is composed of 395 tuples and 33 attributes. A classification model is built by making use of Naïve Bayes and ID3. Comparison of accuracy is done between R and WEKA. The prediction is performed in order to find out whether a student can be promoted or demoted in the next academic year when previous year marks are considered.

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2020

Rajesh M and B. Sreevidya, “Vulnerability Analysis of Real-Time Operating Systems for Wireless Sensor Networks”, in Advanced Computing and Intelligent Engineering, vol. 1089, B. Pati, Panigrahi, C. Rani, Buyya, R., and Li, K. - C., Eds. Singapore: Springer Singapore, 2020, pp. 449-460.[Abstract]


The faultless operation of systems which are safety-critical like the anti-lock braking system (ABS), fuel control system (especially during cruise control), traction control system, etc., is equally dependent on both the logical as well as the temporal correctness of the output generated, and hence, systems like these can be called as the real-time systems (RTS), specifically, hard real-time systems. In this paper, various security issues relevant to such automotive systems have been studied and tested. Based on the observations made, a feasibility study is done on using OSEK/VDX for wireless sensor network applications

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2019

B. Sreevidya and Rajesh M, “Design and Performance Evaluation of an Efficient Multiple Access Protocol for Virtual Cellular Networks”, in Lecture Notes on Data Engineering and Communications Technologies, vol. 15, 2019, pp. 295-304.

2018

B. Sreevidya, Rajesh M, and Mamatha, T. M., “Design and development of an enhanced security scheme using RSA for preventing false data injection in wireless sensor networks”, in Advances in Intelligent Systems and Computing, vol. 696, , Ed. Springer Verlag, 2018, pp. 225-236.[Abstract]


Wireless sensor networks are largely used in mission-critical applications such as border surveillance, intrusion detection, remote patient monitoring. These applications demand the data to be secured while processing as well as communicating. Data security during the processing phase is a largely researched area, and there exists enough number of techniques to achieve it. On the other hand, techniques to achieve data security during communication phase even though exist in multiple numbers, most of the techniques demand high processing capacity. This requirement leads to high energy consumption which is a challenge in the context of wireless sensor networks. So a technique which will provide data security during communication phase in a wireless sensor network-based application with minimal energy consumption will be a very good solution. The proposed scheme is to prevent false data injection in which malicious or compromised nodes inject false data into the WSN which will influence the decision making of the system. The proposed system provides an enhanced security scheme for preventing false data injection attack in WSN with an efficient reactive routing method. The proposed system addresses two parameters: authenticity of the nodes and the integrity of the data. The proposed system is simulated using Network Simulator 2 (NS2), and the results indicate that the scheme performs better than the existing schemes which provide either integrity of data or authentication of the sender. © Springer Nature Singapore Pte Ltd. 2018.

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Publication Type: Conference Proceedings

Year of Publication Title

2020

M. S. P. Rahul and Rajesh M, “Image processing based Automatic Plant Disease Detection and Stem Cutting Robot”, 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT). 2020.

2019

Rajesh M, B. Sreevidya, and Sasikala T, “Performance Analysis of Various Anonymization Techniques for Privacy Preservation of Sensitive Data”, Lecture Notes on Data Engineering and Communications Technologies, vol. 26. pp. 687-693, 2019.

2019

S. S and Rajesh M, “Smart Walking Stick”, Proceedings of the International Conference on Trends in Electronics and Informatics (ICOEI2019), 2019. 2019.

2018

A. Shrivastava and Rajesh M, “Automatic Irrigation System with Data Log Creation”, 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). 2018.

2018

V. N. V. Aditya Sharma and Rajesh M, “Building a quadcopter: An approach for an Autonomous Quadcopter”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2018.

2018

B. Sreevidya and Rajesh M, “False Data Injection Prevention in Wireless Sensor Networks using Node-level Trust Value Computation”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2018.

2017

B. Sreevidya and Rajesh M, “Enhanced Energy Optimized Cluster Based On Demand Routing Protocol for Wireless Sensor Networks”, 6th International Conference on Advances in Computing, Communications & Informatics (ICACCI’17). IEEE, Manipal University, Karnataka , 2017.[Abstract]


Wireless sensor networks (WSN) are widely used various applications such as disaster management, search and rescue operation, wild life monitoring, remote patient monitoring, structural health monitoring etc. It provides bridge between the real physical and virtual worlds. In many scenarios, the coverage area of the WSN will be very large and a multi-hop adhoc network needs to be maintained for the connectivity and data transfer among the nodes. The major part of the energy consumption of each node is used for data transfer among nodes. This paper proposes a energy efficient routing scheme. The scenario which is considered is a wireless sensor network which is a collection of clusters and data transfer happens with the help of cluster head (CH) rather than the collective effort of every node in the network. In such a cluster based WSN, it is advantageous to have a routing protocol which uses the information about clusters to decide upon route formation. This paper proposes a novel Cluster Based Routing Protocol for a WSN which optimizes the energy consumption on data transfer and thus increasing the lifetime of the WSN network. To conclude the advantages of the proposed scheme, comparison is carried out between the performance of AODV and CBRP protocols.

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2017

B. T, Rajkumar P. Sreedharan, Rajesh M, and M. Nithya, “Leader-follower co-ordination of multiple robots with obstacle avoidance”, International Conference On Smart Technologies For Smart Nation (SmartTechCon2017). Reva University, Bengaluru , 2017.

2017

A. S, Rajkumar P. Sreedharan, and Rajesh M, “A Mechanism for Localization and Environment Supervision using Wireless Networks”, International Conference On Smart Technologies For Smart Nation (SmartTechCon2017). Reva University, Bengaluru , 2017.

2017

A. Nair, Rajkumar P. Sreedharan, and Rajesh M, “Intelligent Motion Control of Bots using Hill Hold Assistance Mechanism”, International Conference On Smart Technologies For Smart Nation (SmartTechCon2017). Reva University, Bengaluru , 2017.

2017

H. Sharma and Rajesh M, “Design and Simulation of WSN for Zigbee based communication in Multi-Robot System”, the International Conference On Energy, Communication, Data Analytics and Soft Computing (ICECDS). SRK College of Engineering, Chennai, 2017.

2017

A. Vikram Reddy and Rajesh M, “Real Time Data Acquisition System in Automobile for Efficient Crash Rescue”, International Conference On Energy, Communication, Data Analytics and Soft Computing (ICECDS), . SRK College of Engineering, Chennai , 2017.

2017

A. Yamini and Rajesh M, “Automation framework for verification of LAMPS and DCS in airbag control unit (ACU)”, Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017. Institute of Electrical and Electronics Engineers Inc., pp. 385-389, 2017.[Abstract]


In the recent technological advancements, Automotive industry is more concentrating towards passenger safety. As a result modern Automobiles may have more than 50 electronic control unit on them. The verification of these ECUs is a necessary and crucial task. The manual testing involves human interaction for stipulating input and observing outcomes, hence it is not only time consuming but may involve human errors. In order to overcome the drawbacks of manual verification, an Automation framework is developed for the automated verification process. This Automation framework covers the features of maintainability, reusability and flexibility. The 'One click Automation' approach is developed where a person need not sit and monitor the diagnostic process. The Automation framework is developed for LAMPS and DC sensors (seatbelt buckle switch) modules.

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2017

I. Nagar, Rajesh M, and Manitha P. V., “A Low Cost Energy Usage Recording and Billing System for Electric Vehicle”, International Conference on Inventive Communication and Computational Technologies (ICICCT 2017) . IEEE, Coimbatore, India, pp. 382-384, 2017.[Abstract]


As conventional fuel resources are dwindling, electric vehicles are emerging as the only viable alternative to petrol, diesel and gas based vehicles. However, the biggest stumbling blocks in the proliferation of electric vehicles is the issue of conveniently charging electric vehicles. In this paper, a smart, low cost ac charging system for electric vehicles is discussed. This is accomplished by having a two-part system in which one part deals with the operation of dispensing electric energy and displaying usage and the other part looks after operations such as billing, storing usage data, customer information etc.

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2015

Rajesh M, Vanishree, K., and Dr. T.S.B. Sudarshan, “Stable route AODV routing protocol for mobile Wireless Sensor Networks”, 2015 International Conference on Computing and Network Communications, CoCoNet 2015. Institute of Electrical and Electronics Engineers Inc., pp. 917-923, 2015.[Abstract]


Wireless Sensor Networks (WSN) are widely used for various applications such as habitat monitoring, structural health monitoring, logistics, patient monitoring etc. Mobility of nodes in these applications are different. Generally usual MANET based routing protocols are adapted for these type of WSNs. AODV is one of the most commonly used routing protocol for both MANETs and WSNs. But in WSNs, when the mobility is high, AODV needs to find new paths to the destination frequently as the already established links breaks because of node movement. The proposed method aims at enhancing the traditional AODV protocol in such WSN applications by building a stable route during the route discovery phase, thus avoiding link breaks that happen due to node movement. This method uses Received Signal Strength Indicator (RSSI) to determine the participation of a node in the route building process. To mitigate the effects of RSSI variations due to environment, an Exponential Moving Average filter is used to smooth out the RSSI variations. If this RSSI value is less than a threshold, the node is not selected to be part of the active route. Lesser RSSI indicates longer distance between the nodes and more chances of link breakage. A neighbor node with the highest RSSI, that meets the threshold criteria, is selected to be the next forwarding node, thereby avoiding link break and ensuring stability of the active route between the source node and the destination node. This would in turn, reduce the energy consumed in the network and hence increase the network lifetime of the WSN. To conclude the effectiveness of the proposed scheme, the simulations are carried out in a WSN scenario and the results are analyzed in comparison with the traditional AODV protocol. Network Simulator, NS2 is used to carry out the simulation. © 2015 IEEE.</p>

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2015

Rajesh M, George, A., and Dr. T.S.B. Sudarshan, “Energy efficient deployment of Wireless Sensor Network by multiple mobile robots”, 2015 International Conference on Computing and Network Communications, CoCoNet 2015. Institute of Electrical and Electronics Engineers Inc., pp. 72-78, 2015.[Abstract]


Disaster management is one of the most critical applications that can be performed by a Wireless Sensor Network (WSN). The optimized deployment of sensor nodes is required for the successful relay of information. This paper proposes the deployment of sensor nodes by multiple autonomous mobile robots in an unexplored large disaster prone territory. The use of multiple robots provides important advantages over human-assisted placement like safety, accurate positioning and flexibility. For accurate location of an event, localization of the sensor nodes is very important which is achieved by using Received Signal Strength (RSS) from anchor nodes and the sensor nodes which act as anchor node after being placed. Placement of node by robots helps in achieving the location information of all the nodes that makes up the network. Communication and coordination between the multiple robots over the sensor nodes is used to achieve accurate localization, faster exploration and network creation. In this study, energy efficient utilization of the sensor node is achieved when it acts as an anchor node as it only responds when it receives the node discover command which a property of Zigbee protocol from the robot placing the sensor nodes. Hardware simulation of the proposed scheme is carried out by using Firebird V robots and Zigbee protocol is used for communication and coordination between the robots.

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2014

Rajesh M, Joseph, R., and Sudarshan, T. S. B., “Fully distributed and decentralized map building for multi-robot exploration”, 2014 International Conference on Embedded Systems (ICES). IEEE, Coimbatore, India, 2014.[Abstract]


In many applications, a single robot may not be having capabilities to completely sense the environment in total due to several constraints like time and space. In such scenarios, each individual robot can sense a part of the environment and by sharing the same with others; each robot can build the information about the entire environment. This work focus on the problem of map building among robots in a team that enables them to sense things that are beyond their individual sensor range. The maps are built by individual robots and these maps are fused to generate a global map. The generated global map is then filtered to remove the redundant data. The memory used for this redundant data is thus freed and can be used to store other values. This map can be used in path planning or similar activities.

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2014

Rajesh M, Jose, G. R., and B., S. T. S., “Multi robot exploration and mapping using frontier cell concept”, 2014 Annual IEEE India Conference (INDICON). IEEE, Pune, India, 2014.[Abstract]


In this work, a new technique is developed for exploration and map building in multiple mobile robots. This proposed technique uses the concept of frontier cells. This system tries to extend the existing exploration and mapping techniques of single robot to multi-robot to increase the exploration efficiency (i.e. to reduce the environment exploration time required). The goal of the proposed mechanism is to design and develop an efficient multi-robot exploration scheme which will explore a given unknown area in the shortest time possible while coordinating their actions and sharing their local maps in certain time instances. In this technique, each robot tries to localize itself and identify the cell in which it is located. Based on a probabilistic model, it selects a frontier cell to be its next target cell, which is not already explored by other robots. Once the robot reaches the new target cell, it updates the status of the cell as explored and shares this information with all other robots.

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Publication Type: Conference Paper

Year of Publication Title

2019

Rajesh M and Nagaraja S. R., “An autonomous system of mobile robots for search in disaster affected sites”, in 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), 2019.[Abstract]


Search and rescue operations during disasters are normally unsafe and tedious to human firefighters. As an alternative, an autonomous system of mobile robots, which can do the search and rescue operation, will be an efficient mechanism. Most of the systems consisting of mobile robots involve human interaction and control largely, which is again less efficient. So development of an autonomous system of mobile robots which can explore an area and complete the search and rescue operation is important. Such a system should have the options to explore an area in an efficient way by the coordination of robots each other and localization schemes. An autonomous mobile robots system is implemented which explores an unknown area and builds a map of the area. The robots coordinate with each other by building local maps and sharing them with others to build the global map. The robots localize themself using trilateration localization scheme. Marking the area covered by each robot is done by placing RF ID tags in an optimized way. The proposed scheme is implemented in hardware using the FireBird V mobile robots.

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Courses Taught

  • Embedded Systems in Robotics
  • Embedded System Programming
  • Networked Embedded Systems
  • Data Communication
  • Computer Networks
  • TCP/IP and Socket Programming
  • Advanced Mobile and Wireless Networks
  • Wireless Sensor Networks
  • Internet of Things
  • Operating Systems
  • Distributed Computing
  • Database Management Systems
  • Advanced Database Management Systems
  • Computer Science Essentials
  • Problem Solving and Algorithmic Thinking
  • Computer Programming
  • Net Centric Programming

Student Guidance

Undergraduate Students

Sl. No.

Name of the Student(s)

Topic

Status – Ongoing/ Completed

Year of Completion

1

P.Sai Srujan

P.Nithin

S.Hari Sankar Abhiram

S.Dinesh Reddy

Forest Fire Detection using WSN

Completed

2021

2

Vineeth Krishnan

Prarthana Anand

Govind Santhosh Kumar

IoT Based Smart Evacuation System

Completed

2021

3

Abheek Parbhat

C.Meghana

M.Himaja 

Smart Attendance Monitoring System

Completed

2020

4

Siri A.

Surya Venkatesh V.

R. Siva Sai Teja

Secure data transmission using cryptography techniques in wireless sensor networks

Completed

2018

5

Amritha Aravindakshan

M. Vaishnavi

V.P. Meenakshy

Integrity and Security of the Data Transmitted with Energy Optimisation in Wireless Sensor Networks (WSNs)

Completed

2017

6

Sowmya K.

Indraja V.

Enhanced Energy Optimized Cluster based On Demand Routing Protocol for Wireless Sensor Networks

Completed

2015

7

J. Saisri

T. Hymavathi

T. Sowmyadevi

Real Time Wireless Air Pollution Monitoring System

Completed

2015

8

M. Viola

Nandita G.

Nivetha V.

Power Aware Dynamic Source Routing Protocol to Increase Lifetime of Mobile Adhoc Networks

Completed

2014

9

Madhulika Suman

Kavya V.

Anusha J.

HEAP: Hybrid Energy Efficient Aggregation Protocol for Large Scale Wireless Sensor Networks

Completed

2014

10

B. Vamsi Krishna

Manoj B.K.

Preetham Suryawanshi

Multi Robot coordinated Exploration

Completed

2013

11

Ch. Bhavana

G. Pushpa Bindu

K. Sowjanya

ABC Algorithm

Completed

2013

12

Anju Rajan

Aswathi D.

M. Chandrika

Multiple Access Control for Virtual Cellular Networks

Completed

2012

Postgraduate Students

Sl. No.

Name of the Student(s)

Topic

Status – Ongoing/ Completed

Year of Completion

1

Geethu N.

Cellular Network Fault Prediction using Deep Learning

Completed

2021

2

Rahul M.S.P.

Automatic Stem Cutting Robot with Path Detection

Completed

2020

3

Harika P.

Design and Development of a Formation Control Scheme for Multi-Robot Environment

Completed

2019

4

Srinidhi P.

Smart Walking Stick

Completed

2019

5

V.N.V.A. Sharma

Building a quadcopter: An approach for an Autonomous Quadcopter

Completed

2018

6

A. Shrivastava

Automatic Irrigation System with Data Log Creation

Completed

2018

7

Sharma H.

Design and simulation of WSN for ZigBee based communication in multi-robot system

Completed

2017

8

Reddy D.A.V.

Real time data acquisition system in automobile for efficient crash rescue

Completed

2017

9

Arya S.

A mechanism for localization and environment supervision using wireless networks

Completed

2017

10

Bhavana T.

Leader-follower co-ordination of multiple robots with obstacle avoidance

Completed

2017

11

Aishwarya Nair

Intelligent motion control of bots using hill hold assistance mechanism

Completed

2017

12

Yamini A.

Automation framework for verification of LAMPS and DCS in airbag control unit (ACU)

Completed

2016

13

Vanishree

RSSI based Routing

Completed

2015

14

Anu George

Automated WSN Deployment

Completed

2015

15

Binisha

Multi-Hop Localization

Completed

2014

16

Gana Rani Jose

Multi-robot Exploration and Mapping

Completed

2014

17

Roni Joseph

Decentralized Map Building

Completed

2014

Faculty Research Interest: