Qualification: 
M.Tech
v_mekaladevi [at]cb[dot]amrita[dot]edu
Phone: 
+91 422 2685000 Ext. 5727

Mekaladevi received the B.E.degree in Electronics and Communication Engineering from Periyar University, in 2003 and the M.Tech. Degree in Remote Sensing and wireless Sensor Networks, from Amrita University in 2013. She is currently pursuing the Ph.D. degree in Electronics and Communication at Amrita University, Coimbatore.

From 2004 to 2013, she was a Lecturer and currently serves as Assistant Professor with theDepartment of ECE, Amrita School of Engineering, Coimbatore Campus. She is an Associate member of IETE. Her research interest includes the development of a miniaturized Antenna using Evolutionary Algorithm.

She bagged certificate of excellence in academicperformance for the consecutive years 2001, 2002during her B.E degree.

Education

  • Pursuing: Ph. D. in RF design and optimization
    Amrita Vishwa Vidyapeetham
  • 2013: M.Tech. in Remote sensing and wireless sensor networks
    Amrita Vishwa Vidyapeetham

Professional Experience

Year Affiliation
2013 - Till present Assistant Professor, Amrita Vishwa Vidyapeetham
Domain : Teaching and Research
2004 - 2013 Lecturer, Amrita Vishwa Vidyapeetham
Domain : Teaching and Research

Academic Responsibilities

S.No Position Class / Batch Responsibility
1 Class Adviser B.Tech /EIE To monitor the status of each student’s academic and their personal issues
3 Class Adviser B.Tech /ECE ‘B’ -do-
4 Class Adviser B.Tech /ECE ‘A’ -do-
2 Time-Table Coordinator 2013-15 To allocate slots for each faculty member as per the subject and batch
5 Academic Coordinator B.Tech /ECE ‘B’ To take care of academic related issues like Re-registration, Remedial courses.

Undergraduate Courses handled

  1. Digital Signal Processing
  2. Linear Integrated Circuits
  3. Electronics Engineering
  4. Electrical Engineering
  5. Digital Circuits
  6. Mobile Communication
  7. Microprocessors
  8. Introduction to Microcontrollers and its Applications
  9. Applied Electromagnetism
  10. Transmission lines and radiating systems
  11. Antenna Systems and Design
  12. Microwave Engineering

Participation in Faculty Development / STTP / Workshops /Conferences

S.No Title Organization Period Outcome
1. Scholarly Writing and Publishing Amrita Vishwa VidyapeethamCoimbatore April 11, 2018 Helped in paper writing
2. National Seminar on Electromagnetics:Fundamentals,relevance and Applications-2018 Department of E&I Bharathiyar University, Coimbatore. March 8 - 9,,2018 Established connection between theory and real time applications for research
3 Two Week ISTE workshop on Signals and Systems conducted IIT Kharagpur January 2 - 12, 2014 Knowledge about various applications of signals and systems
4 Two Week ISTE workshop on Analog Electronics IIT Kharagpur June 4 - 14, 2013 Course plan for UG
5 International Conference of Women in computing Department of CSE,Amrita School of Engg, Coimbatore January 9 - 11, 2013 Scope for various research domain
6 Two Week ISTE workshop on Basic Electronics IIT Bombay June 28 -  July 8, 2011 To develop course plan for UG course
7 Hands-on Application &Development on Wireless Sensor Networks Velalar College of Engg &Tech,Coimbatore April 23, 2010 Programming aspect of WSN learnt
8. Nanotechnology Department of ECE,Amrita Vishwa VidyapeethamCoimbatore July 13,  2009 Idea about nano Materials for RF applications

Organizing Faculty Development / STTP / Workshops /Conferences

SNo Title Organization Period Outcome
1. Workshop on “PIC Microcontrollers” Department of ECE ,Amrita School of Engg, Coimbatore July 19 - 21, 2010 Students are motivated to take up embedded based projects
2. Two DayFacultyDevelopmentProgramme on Embedded System Design using ARM LPC2148 Department of ECE ,Amrita School of Engg, Coimbatore July 22 - 23, 2017 Insight to the revised syllabus on ARM for theory and lab handling faculty members.

Research Expertise

Project Details:

  • Microwave absorber design using improvised Particle swarm optimization algorithm
  • Secure data encryption and decryption through GSM for the application of taser on quadcopter.
  • Wearable antenna for satellite communications in GPS and Iridium bands
  • Compressive sensing for PPM modulation
  • Optimization of SDR based weather satellite image reception

Teaching

  • Introduction to Microcontrollers and Applications
  • Electromagnetic wave propagation
  • Transmission lines and waveguides
  • Electronics Engineering
  • Digital circuits
  • Introduction to Digital Signal Processing

Publications

Publication Type: Conference Paper

Year of Publication Title

2018

H. Mouna, Azhagan, M. S. Mukhil, Radhika, M. N., V, M., and M. Devi, N., “Velocity Restriction-Based Improvised Particle Swarm Optimization Algorithm”, in Progress in Advanced Computing and Intelligent Engineering, Singapore, 2018.[Abstract]


The Particle Swarm Optimization (PSO) Algorithm attempts on the use of an improved range for inertia weight, social, and cognitive factors utilizing the Pareto principle. The function exhibits better convergence and search efficiency than PSO algorithms that use conventional linearly varying or exponentially varying inertia weights. It also presents a technique to intelligently navigate the search space around the obtained optima and looks for better optima if available and continue converging with the new values using a velocity restriction factor based on the Pareto principle. The improvised algorithm searches the neighborhood of the global optima while maintaining frequent resets in the position of some particles in the form of a mutation based on its escape probability. The results have been compared and tabulated against popular PSO with conventional weights and it has been shown that the introduced PSO performs much better on various benchmark functions.

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2013

D. Abhilash, Sankar, A., Janakiraman, S., G. Kiran, R., Sudan, R. Kaur, and V, M., “Compressive Sensing for Pulse Position Modulated UWB Signal”, in Mobile Communication and Power Engineering, Berlin, Heidelberg, 2013, pp. 115–121.[Abstract]


A band-limited signal must be uniformly sampled at lea st twice its bandwidth to guarantee reconstruction at the receiver's end according to Shannon/Nyquist theorem. Compressive sensing suggests that sparsity helps representing the signal in much lesser dimensions. Analog-to-information convertor utilizes this sparsity in order to sample signals at information rate that enhances the efficiency of ADC which otherwise has to sample at very high rates for wideband signals. In this paper, we explore the combination of Compressive Sensing with M-ary PPM Ultra Wideband modulation scheme. The signals are detected without having to estimate the channel. Orthogonal matching pursuit is used as the reconstruction algorithm for the recovery of sparse signal from its compressed measurements.

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Publication Type: Journal Article

Year of Publication Title

2018

M. H, V, M., and M, N. Devi, “Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm”, Journal of Microwaves, Optoelectronics and Electromagnetic Applications, vol. 17, pp. 188 - 200, 2018.[Abstract]


Particle Swarm Optimization (PSO) algorithm has been applied in electromagnetics to design microwave absorbers. Generally, microwave absorbers are used for absorbing the electromagnetic radiation caused due to numerous electronic equipments and is being extensively used in stealth technology. The main aim of this paper is to find and analyze the minimized maximum reflection coefficient over a range of frequency and angle of incidence for a fixed number of layers and polarization. An improvised PSO algorithm has been suggested by utilizing a velocity restriction factor that intelligently searches for the optimum solution. The pareto principle with an improvisation in social and cognitive parameters has also been applied. The algorithm succeeded in finding better values of reflection coefficient for the microwave absorber structures comparatively. Based on the pareto principle a form of mutation technique is also used for better convergence. The results have been compared and tabulated for various combinations of the microwave absorber structure and the thickness of each layer is also optimized for a predefined database.

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2014

A. Narayanan, R, V. Priya, M, V., K, N., R, J. Surya, and V, M., “Design of Axial Mode Helical Antenna Array for NOAA-18 HRPT Reception at 1700MHz.”, PISER12 Progress In Science and Engineering Research Journal , vol. 02, no. 06, pp. 381-385, 2014.[Abstract]


This paper presents a new design technique for an axial mode helical antenna array to achieve a gain of 22dBi at 1700MHz for an efficient NOAA-18 HRPT reception. The geometrical parameters for a helical antenna are obtained by Particle Swarm Optimization. Design technique such as introduction of parasitic elements have been adopted and the simulation is done using 4NEC2. More »»