Ruchi Pandey

SPCRC, IIIT Hyderabad, INDIA ยท ruchi.pandey@research.iiit.ac.in

I am a research scholar (Ph.D.) at the International Institute of Information Technology Hyderabad (IIIT-H), India. My research focuses on localization and tracking of acoustic sources. With the increasing prevalence of smart devices such as smart phones, cars, robots, and drones that come equipped with microphone arrays, there is a need to accurately locate and track sound sources amidst interference, reverberation, and background noise. My work involves developing parametric models that can perform joint localization and tracking tasks, allowing us to identify source trajectories for a block of array data. This approach differs from traditional localization methods that estimate directions of arrival (DOAs) per block. In addition to this, I am also exploring the use of deep learning-based models for trajectory localization. I am excited to contribute to the field through my research and make a meaningful impact.


Experience

Research Scholar (Ph.D.)

Signal Processing and Communications Research Centre (SPCRC), IIIT Hyderabad

I am working under the supervision of Dr. Santosh Nannuru. My Ph.D. research revolves around developing parametric models and algorithms for joint localization and tracking tasks. We call this as trajectory localization which allows us to identify source trajectories for a block of array data. This approach differs from traditional localization methods that estimate directions of arrival (DOAs) per block. In addition to this, I am also exploring the use of deep learning-based models for trajectory localization.

Feb 2019 - Present

Research Intern

Samsung Research Institute Bangalore (SRIB), India

At SRIB, I am associated with the connectivity team, focusing on various methods for object detection and classification through the analysis of reflected radar signals.

July 2023 - Present

Research Intern

Virtual Labs, IIIT Hyderabad

Interning with Virtual labs (E-Learning Platform) for an online-lab education course on signal processing under the supervision of Prof. Santosh Nannuru.

Jul 2022 - Present

Research Intern

Machine Listening Lab, Queen Mary University of London

I was associated with Machine Listening Lab, at the Queen Mary University of London, working under the supervision of Prof. Huy Phan. During this internship (online) I explored deep learning-based methods for sound source localization using the DCASE-2021 dataset.

Dec 2021 - Dec 2022

Research Assistant

IIIT Delhi

During my RAship, I worked on the cross-calibration between the RADAR and the Camera under the supervision of Prof. Shobha Sundar Ram. An experimental setup was designed for data collection using RADAR and a Camera. I also explored the data fusion of multiple sensors (Lidar, Camera, and Radar ) for ADAS systems (smart cars).

Jul 2017 - May 2018

Research Intern

IIIT Delhi

During my internship under Prof. Sumit Darak, I worked on the generation of multi-carrier waveforms in 5G. I got the opportunity to work on the hardware setup using RTL-SDR and USRP.

May 2016 - July 2016

Education

International Institute of Information Technology Hyderabad

Doctor of Philosophy (Ph.D.)

Signal Processing and Communication Research Center

July 2019 - Present

International Institute of Information Technology Bhubaneswar

Master of Technology (M.Tech.)

Communication Engineering and Signal Processing (E.C.E)

July 2015 - May 2017

Shri Shankaracharya Institute of Technology and Management

Bachelor of Technology (B.Tech.)

Electronics and Tele Communications Engineering

July 2011 - June 2015

Publications

7. Gridless DOA Trajectory Localization

Journal of the Acoustical Society of America (under review)

Authors: R. Pandey and S. Nannuru
Year: 2023

6. Improving trajectory localization accuracy via direction-of-arrival derivative estimation

European Signal Processing Conference (EUSIPCO 2023)

Authors: R. Pandey, S. Jaiswal, H. Phan and S. Nannuru
Year: 2023

5.Deep architecture for doa trajectory localization

IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)

Authors: S. Jaiswal, R. Pandey, and S. Nannuru
Year: 2023

4. Experimental validation of wideband SBL models for DOA estimation

European Signal Processing Conference (EUSIPCO 2022)

Authors: R. Pandey, S. Nannuru, and P. Gerstoft
Year: 2022

3. Parametric models for DOA trajectory localization

IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)

Authors: R. Pandey and S. Nannuru
Year: 2022

2. Sparse Bayesian learning for acoustic source localization

IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP)

Authors: R. Pandey, S. Nannuru, and A. Siripuram
Year: 2021

1. Deep learning for computer vision tasks: a review

International Conference on Intelligent Computing and Control (I2C2)

Authors: R. Sinha, R. Pandey and R. Pattnaik
Year: 2018


Awards & Certifications

  • Awarded IEEE SPS Scholarship for the year 2023.
  • Awarded EURASIP Student Travel Grant for presenting the paper at EUSIPCO-2023, Helsinki, Finland.
  • Awarded EURASIP Student Travel Grant for presenting the paper at EUSIPCO-2022, Belgrade, Serbia.
  • Awarded IEEE SPS Travel Grant for presenting the paper at ICASSP-2022, Singapore
  • Won Smart India Hackathon 2017 under the Ministry of Earth Science
  • Letter of appreciation from IIIT-BH assisting digital signal processing lab
  • Scholarship for Inspired Science student

Contact

  • Email
ruchi.pandey@research.iiit.ac.in
  • Workspace
Vindhya A3-204
Signal Processing and Communication Research Centre (SPCRC)
IIIT-H Campus, Gachibowli
Hyderabad, India