Nandi Vardhan H. R. currently serves as Assistant Professor at department of Electronics and Communication,Amrita School of Engineering, Banglore campus.

He has 10 years of teaching experience and 1 year as a software engineer. Mr Nandi did M.E from Deakin University, Australia with scholarship and also completed summer research project with grant. He completed B.Tech in Electronics and communications engineering from Vidya Vardhaka College of Engineering affiliated to Visvesvaraya Technological university , Belgaum in 2007. Obtained certification in Layout design, certified by USC, Santa Cruz extension and Cadence in 2007. He worked as software engineer and then worked as lecturer in ATME college of engineering before joining Amrita. Currently he is pursuing PhD in Video analytics at amrita. He is passionate about teaching and learning new trends in science and technology.


  • Ph. D (Pursuing)
    Amrita School of engineering
  • 2011: M.E.
    Deakin University, Australia
  • 2007: B.E.
    Visvesvaraya Technological University

Professional Appointments

Year Affiliation
2016 Assistant Professor (Sr. Gr.),
Department of ECE, Amrita School of Engineering, Bengaluru Campus
2013 Assistant Professor (Sr. Gr.),
Department of ECE, Amrita School of Engineering, Bengaluru Campus
2012 Lecturer,
Department of ECE, ATME college of Engineering, Bengaluru Campus
2007 Software Engineer,
Keane India, Bengaluru

Research & Management Experience

  • Ambassador Member of Institution Innovation Cell at Amrita that works for caters the innovation initiatives driven by MHRD for students and faculty community.
  • NAAC Coordinator

Membership in Professional Bodies

  • IEEE
  • Golden Key

Certificates, Awards & Recognitions

  • Project “MUDRA” obtained recognition with articles in all major national news papers
  • Project on Women safety in passenger vehicles had recognition with articles in the newspapers.


Publication Type: Conference Paper

Year of Publication Title


R. Ippalapally, Mudumba, S. Harsha, Adkay, M., and Nandi Vardhan H. R., “Object Detection Using Thermal Imaging”, in 2020 IEEE 17th India Council International Conference (INDICON), New Delhi, India, 2020.[Abstract]

Identification of objects in an image plays a crucial role in UAVs, self-autonomous vehicles, and other applications. It is vital to have the capability to navigate and identify objects at any time of the day, especially at night, when we encounter situations of low-light and dark conditions. This necessitates the ability to have a proper object detection model to predict the object in these conditions. We introduce a way to detect and classify objects in images taken with thermal cameras using different image processing techniques, pattern recognition, and machine learning algorithms. We have done a comparative study of two different models with appropriate hyper-parameter tuning that allows us to choose the right model for their application based on the constraints involved in the problem. We present an extensive study of the models based on the COCO evaluation metrics and other important loss metrics. Experimental results on the FLIR dataset confirm that we can use the pre-trained models in object detection to train, identify, and label objects in thermal images.

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S. Vemuri, V, Y. Raj, Y, P. Raj, and Nandi Vardhan H. R., “Step Counting Navigation Assistant”, in 2019 1st International Conference on Advanced Technologies in Intelligent Control, Environment, Computing Communication Engineering (ICATIECE), Bangalore, India, 2019.[Abstract]

Navigation is an emerging field and in the recent past extensive research is being carried out. Navigation can be broadly differentiated into Indoor Navigation and Outdoor Navigation[1]. Outdoor Navigation immediately recollects of the one with GPS which is most popularly used these days. Absence of such a technology would probably lose the entire world as its importance has been world widely proved by lot many. GPS doesn't function appropriately indoor because of which an alternate solution is necessary. The key idea of this step counting assistant which works on accelerometer and gyroscopic sensor is to track the path been walked upon which is further projected to a robot that can help in household managements i.e., cleaning the room, watering in the garden, accessing the household appliances and controlling them. It can also be used outdoor where GPS footprint is quite less like in deep jungles, uneven lands, too many of irregular steps, etc. Many people these days use handy objects such as wristbands, step counting apps, etc. This assistant can also serve the same purpose. Existing step detection techniques, both hardware and software, does not satisfactorily cater the accuracies demanded by localization systems especially at low walking speeds observed in natural walking.

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Dr. Sreeja Kochuvila and Nandi Vardhan H. R., “Modelling and Control of Three-link Planar Robot for Stable Walking Gait”, in 2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Msyuru, India, 2018.[Abstract]

Control of a passive walking robot has been a challenging problem in energy efficient two-legged robot. This paper proposes the modelling and control for a passive walking planar robot to achieve stable walking with an additional link representing the upper body. The dynamic model for a three-link planar robot under consideration is derived for both walking phase and during impact. The dynamics is used along with suitable initial conditions to generate the reference trajectory for stable walking. The results show that the robot follows the generated reference trajectory with the use of a controller developed using feedback linearization control law. The proposed controller is studied and validated using simulations and it is observed that the walking trajectory converges to a stable limit cycle. Thus the model can be extended to realize energy efficient walking of a biped robot with upper body mass.

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H. Bhardawaj, Dhaker, M., Sivani, K., and Nandi Vardhan H. R., “Smart gloves: A novel 3-D work space generation for compound two hand gestures”, in ACM International Conference Proceeding Series, 2018, pp. 28-32.[Abstract]

Speechlessness is a colossal barrier of communication between the ordinary people and the speech impaired. This paper presents a novel methodology with a working model which is used to convert the sign language to speech in order to help speech impaired people. It uses flex sensor and Inertial Measurement Unit in order to determine the position of finger as well as the position of hand in 3-Dimensional space. These sensors are embedded into the gloves, which when processed, outputs the accurate gesture which has been made by the user, thereby making it smart. The paper also presents a unique division of a matrix in 3-Dimensional space comprising of states. These states have to be estimated in a generalized manner in order to be used by anybody irrespective of their gender or height. The paper also highlights the use of both hands for compound two hand gestures with static and dynamic gesture recognition system. The smart gloves can further be used in a variety of applications such as motion sensing gaming, remote medical diagnosis, and robotics. © 2018 Association for Computing Machinery.

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K. A. Bhaskaran, Nair, A. G., Ram, K. D., Ananthanarayanan, K., and Nandi Vardhan H. R., “Smart gloves for hand gesture recognition: Sign language to speech conversion system”, in International Conference on Robotics and Automation for Humanitarian Applications, RAHA 2016 - Conference Proceedings, 2017.[Abstract]

People with speech impairment find it difficult to communicate in a society where most of the people do not understand sign language. The idea proposed in this paper is a smart glove which can convert sign language to speech output. The glove is embedded with flex sensors and an Inertial Measurement Unit (IMU) to recognize the gesture. A novel method of State Estimation has been developed to track the motion of hand in three dimensional spaces. The prototype was tested for its feasibility in converting Indian Sign Language to voice output. Though the glove is intended for sign language to speech conversion, it is a multipurpose glove and finds its applications in gaming, robotics and medical field. © 2016 IEEE.

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Keynote Addresses/Invited Talks/Panel Memberships

  • Delivered a talk on Engineering Education in Mangalore as a part of the promotional event.

Courses Taught

  • Industrial Automation
  • Introduction to Microcontroller and its applications
  • Multimedia Communication standards
  • Signals and systems
  • Electronic Circuits I
  • Control Systems Engineering
  • Soft Computing
  • Robotic Control
  • Computer System Architecture and Organisation
  • Linear Integrated Course
  • VLSI
  • Computational Programming
  • Deep Learning
  • Information Theory and Coding Techniques
  • Electronic Devices and Circuits
  • Introduction to Data Structures and Algorithms

Student Guidance

Undergraduate Students

Sl. No. Name of the Student(s) Topic Status – Ongoing/Completed Year of Completion
1 Reetika Monavarthi Optimised Route Planning Algorithm for Package Delivery System Completed 2020
Sai Ruchitha
Malla Poojith
2 Ippalapally Rohan Object Detection using Thermal Imaging Completed 2020
M. Sriharsha
Meghana Adkay
3  Ajay A M Crop Yield Protection Completed 2020
Sai Prasanth
Pavan Murari K
4 A.T.Pradeep Design and Development of Waste Seggregator Rover Completed 2020
Ashwin Kumar
5 Md. Mujahid Design of robust algorithm for indoor mapping using scan matching and Multi View Stereo Techniques Completed 2019
Meenakshi Narayan R
M. Mohith Sai Kumar Reddy
6 K.Anindhya Rao Object detection and identification using capsule networks Completed 2019
K.Krishna Sai
7 Sangarsh Design and control of a robot to navigate on an edge structure  Completed 2019
Vinil Verma
8 Harsh Bhardawaj Smart Gloves : A novel 3D work space geneation for compund two hand gesture Completed 2018
Mohit Dhaker
9 Kotha Hema Abhinandu Agriculatural drone sprayer using RFID Completed 2018
Chatakonda Venkatesh
Desu Kartheek
10 Saiteja Vemuri Step counting Navigation assistant Completed 2018
Yashwanth Raj
V, Prudhvi Raj
11 Hemanth Kumar N.T Force Analysis on knee joint of a biped robot using RAPM Completed 2018
Vinod Kumar reddy P
Jaideep V
12 M. Vijayendra Design and devlopment of a safety device in passenger cars to assure safety of women passengers Completed 2018
S.Jaya Krishna Teja
Nikhil Sarika
13 Anurag Kurup SLAM Solving Algorithm Completed 2017
Yashas Kumar
14 D.Bala Bhaskar Reddy Quantitative measurement of
contact force distribution on a
Bi-Ped foot using sensor array
Completed 2017
Shrujana Murthy
T.Raghavendra Bharadwaj
15 Deepak Ram MUDRA: Smart glove to convert sign language to speech Completed 2016
Anoop Nai
16 Jagannathan Stampede Detection Completed 2016
Sai kiran