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Photo by: Dr Colin Brooks

Vipul Arora

Assistant Professor
Department of Electrical Engineering
IIT Kanpur
Email:
vipular AT iitk DOT ac DOT in
Office:
305D, ACES building
Research interests:
machine learning, signal processing and optimization.
Links:
Youtube


  

About me:

I received my B.Tech. and Ph.D. degrees in Electrical Engineering from the Indian Institute of Technology (IIT) Kanpur, India. My Ph.D. thesis was entitled "Analysis of Pitched Polyphonic Music for Source Transcription", where I worked on analyzing music audio to identify and transcribe different instruments/voices playing simultaneously. During postdoc at Oxford University (UK), I developed speech recognition systems using linguistic principles, with applications in automatic language teacher and speech recognition for low-resource languages. At Amazon in Boston (USA), I worked on audio classification for developing Alexa home security system, with research focusing on classification with imbalanced data.


Research:

I am focusing mainly on the following areas:
  • Machine learning for music analysis
  • Machine learning for physics
  • Machine Learning for natural language processing (text)


Opportunities:

News:


24 July 2020:
Clinical BCI Challenge 2020: Our team (named iBCI) secured overall 2nd position in Clinical BCI Challenge at IEEE WCCI 2020
9 July 2020:
Grant approved by MPCB: "Technical Assessment of Low-Cost Sensor based PM2.5 and PM10 Monitoring Network in Maharashtra"
25 Apr 2020:
SP Cup 2020: Our team secured 6th position in IEEE Signal Processing Cup competition 2020
21 Mar 2020:
Paper accepted in FUZZ-IEEE 2020: Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yukai Wang and Chin Teng Lin, "Fuzzy Divergence Based Analysis For EEG Drowsiness Detection Brain Computer Interfaces ", IEEE International Conference on Fuzzy Systems, 2020.
24 Jan 2020:
Paper accepted in ICASSP 2020: Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, and Laxmidhar Behera, "Formulating Divergence Framework For Multiclass Motor Imagery EEG Brain Computer Interface", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.
11 Nov 2019:
ASEM DUO 2020 Professor Fellowship Award: for research exchange with University of Surrey, UK
28 June 2019:
IMPRINT-2C grant approved: "Smart music tutor for Indian classical music"
15 May 2019:
Paper presented in ICASSP 2019: Vipul Arora, Ming Sun and Chao Wang, "Deep Embeddings for Rare Audio Event Detection With Imbalanced Data", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. [poster]
13 May 2019:
General Linguistics Seminar Talk at University of Oxford: titled "Modern speech technologies and applications of phonology.
1 May 2019:
Initiation grant approved: "Machine Learning for Physics"
6 Feb 2019:
SPARC grant approved: Collaboration project between IITK and MIT, titled "Machine Learning for Lattice Quantum Chromodynamics"
1 Feb 2019:
Paper accepted in ICASSP 2019: Vipul Arora, Ming Sun and Chao Wang, "Deep Embeddings for Rare Audio Event Detection With Imbalanced Data", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019. [pdf] [blog]


PhD students:

Completed
  • Dr. Tharun Reddy (2020, Brain Computer Interface), Assistant Professor, IIT Dhanbad
Ongoing
  • Kavya Ranjan Saxena - Music Information Retrieval
  • Sumit Kumar - Semantic Question Answering
  • Rahul Kodag - Music Information Retrieval
  • Vikas Kumar - ML for Physics
  • Abhishek Jaiswal - Semantic Learning
  • Adhiraj Banerjee - Semantic Learning
  • Swati Singh - Cognitive Learning
  • M Jayasandhya - Cognitive Learning

Masters students:

Completed
  • Shivam Pal (2020, NLP)
  • Shivangi Ranjan (2020, Music Information Retrieval), joined Intel
  • Aman Kumar Sharma (2020, Music Information Retrieval), joined Cisco
Ongoing
  • Jaivardhan Kapoor - ML for Physics
  • Nishant Kumar - ML with imbalanced data
  • Swapnil Dey
  • Jagadeesh K. Babu
  • Kalpit Yadav