C. Chandra Sekhar Home Page
Head of the Department
Email : chandra [at] cse [dot] iitm [dot] ac [dot] in   |   Phone : 4363
Lab(s) : SV Lab.
Link to Personal Homepage

Research Interests :

Speech recognition, Neural networks, Kernel methods, Computer architecture

Publications : (Last Five, while at IITM)DBLP | View All

  • Incremental Transfer Learning in Two-pass Information Bottleneck Based Speaker Diarization System for Meetings. 
    Authors : Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
    Appeared in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019 (ICASSP 2019) ,pp.6291-6295, May 2019
  • Subspace Segmentation Based Metric Learning. 
    Authors : Ujjal Kr Dutta, C. Chandra Sekhar
    Appeared in 2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018 (ICIP 2018) ,pp.1623-1627, Oct 2018
  • Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. 
    Authors : Ujjal Kr Dutta, C. Chandra Sekhar
    Appeared in Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I, Lecture Notes in Computer Science, Vol 11139, pp.556-565, Oct 2018
  • Information Bottleneck Based Percussion Instrument Diarization System for Taniavartanam Segments of Carnatic Music Concerts. 
    Authors : Nauman Dawalatabad, Jom Kuriakose, C. Chandra Sekhar, Hema A. Murthy
    Appeared in Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018., pp.1215-1219, Sep 2018
  • Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space. 
    Authors : B. S. Shajee Mohan, C. Chandra Sekhar
    Appeared in Pattern Anal. Appl., Vol 21, pp.847-867, Jan 2018

(Recent) Teaching : View All  |  Back to top

Jul 2019 - Nov 2019 : - Research Methodology (CSE Module) (CS6021)
Jul 2019 - Nov 2019 : - Computational Engineering (CS1100)
Jan 2019 - May 2019 : - Deep Learning (CS7015)
Jul 2018 - Nov 2018 : - Pattern Recognition and Machine Learning (CS5691)
Jan 2018 - May 2018 : - Computer Organization (CS2600)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDSaurabh BaghelCS12D003Dec 2011HTRA
PhDJyostna Devi BodapatiCS13D021Jul 2013QIP
PhDNauman Abdul Razzak DawalatabadCS14D210Jan 2014PROJECT
PhDUjjal Kr DuttaCS14D407Jul 2014HTRA
PhDHemalatha MCS14D007Jul 2014PART-TIME
PhDBedanta KumarCS19D009Jul 2019HTRA
MSAditya MehtaCS12S014Jul 2012RKA
MSAnil Kumar ChilliCS14S003Jan 2014PART-TIME
MSAbhiram Kumar SinghCS14S001Jan 2014HTRA
MSKaushik V VCS15S010Jan 2015HTRA
MSDivi Tiru Sai Gopala Pavana PhaneendraCS18S037Jan 2019HTRA
MSVishwajit Kumar VishnuCS18S039Jan 2019HTRA
M.TechMonika ChauhanCS17M026Jul 2017HTTA
M.TechMurali Krishna GCS17M027Jul 2017HTTA
M.TechAjith Kumar MCS17M009Jul 2017HTTA
M.TechOmji GuptaCS18M039Jul 2018HTTA
M.TechRidima GuptaCS18M048Jul 2018HTTA
M.TechJoshi Vishakha ShrikantCS18M025Jul 2018HTTA
M.TechKumar VaibhavCS18M030Jul 2018HTTA
M.TechPranav Murali VidhyaCS18M041Jul 2018HTTA
B.Tech(DD)Keerthana SCS13B041Jul 2013HTTA
B.Tech(DD)Kola SphoortiCS13B042Jul 2013HTTA
B.Tech(DD)Sathi Kesav Sai KritinCS14B062Jul 2014HTTA
B.Tech(DD)Madisetty Uday ThejaCS14B044Jul 2014HTTA