C. Chandra Sekhar Home Page
Professor
Email : chandra@cse.iitm.ac.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

  • Label Correlation Propagation for Semi-supervised Multi-label Learning. 
    Authors : Aritra Ghosh, C. Chandra Sekhar
    Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.52-60, Dec 2017
  • A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification. 
    Authors : Abhiram Kumar Singh, C. Chandra Sekhar
    Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.69-76, Dec 2017
  • Kernel Entropy Discriminant Analysis for Dimension Reduction. 
    Authors : Aditya Mehta, C. Chandra Sekhar
    Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.35-42, Dec 2017
  • Two-Pass IB Based Speaker Diarization System Using Meeting-Specific ANN Based Features. 
    Authors : Nauman Dawalatabad, Srikanth R. Madikeri, C. Chandra Sekhar, Hema A. Murthy
    Appeared in Interspeech 2016, 17th Annual Conference of the International Speech Communication Association, San Francisco, CA, USA, September 8-12, 2016, pp.2199-2203, Sep 2016
  • Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines. 
    Authors : Abhijeet Sachdev, Veena Thenkanidiyoor, Aroor Dinesh Dileep, C. Chandra Sekhar
    Appeared in 14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 (ICMLA 2015) ,pp.122-127, Dec 2015


(Recent) Teaching : View All  |  Back to top

Jul 2018 - Nov 2018 : - Pattern Recognition and Machine Learning (CS5691)
Jan 2018 - May 2018 : - Computer Organization (CS2600)
Jan 2018 - May 2018 : - Assembly Language Programming Lab (CS2610)
Jul 2017 - Nov 2017 : - Foundations of Computer Systems Design (CS2300)
Jul 2017 - Nov 2017 : - Foundations of Computer Systems Design Lab (CS2310)

(Current) Advisees View All  |  Back to top

ProgramNameRoll No.Joining DateFunding
PhDShajee Mohan B SCS09D022Jul 2009QIP
PhDSaurabh BaghelCS12D003Dec 2011HTRA
PhDJyostna Devi BodapatiCS13D021Jul 2013QIP
PhDNauman Abdul Razzak DawalatabadCS14D210Jan 2014PROJECT
PhDUjjal Kr DuttaCS14D407Jul 2014HTRA
PhDHemalatha MCS14D007Jul 2014PART-TIME
MSAditya MehtaCS12S014Jul 2012RKA
MSAnil Kumar ChilliCS14S003Jan 2014PART-TIME
MSAbhiram Kumar SinghCS14S001Jan 2014HTRA
MSKaushik V VCS15S010Jan 2015HTRA
M.TechChundi Venkata Naga Maruthi Sarath ChandraCS16M014Jul 2016HTTA
M.TechYaswanth Sai KammaCS16M004Jul 2016HTTA
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