Shiv Visvanathan Chandra: re-inventing an uncle,\" in
S. Chandrasekhar: man of science Radhika Ramnath, Ed. New Delhi: Harper Collins Publishers, 2011, pp. 138 - 146.
Shiv Visvanathan Foreword: \"Overture to a study of emotions\", in
States of Sentiment: Exploring the Cultures of Emotion Pramod K. Nayar, Ed. New Delhi: Orient BlackSwan, 2011. ISBN: 9788125041993.
Shiv Visvanathan Scripting Sociology of science: Between knowledge and democracy in India\", in
Doing sociology in India: Genealogies, locations and practices Sujata Patel, Ed., New Delhi: Oxford University Press, 2011, pp. 290-313. ISBN: 9780198070115.
Tridip Suhrud Gandhi\'s Key writings: in search of unity
The Cambridge Companion to Gandhi Judith M. Brown and Anthony Parel, Eds. Cambridge: Cambridge University Press, May. 2011, pp. 71-92. doi: 10.1017/CCOL9780521116701.005.
CMOL/CMOS implementations of bayesian inference engine: Digital and mixed-signal architectures and performance/price - a hardware design space exploration
in CMOS Processors and Memories, Krzysztof Iniewski Ed. Berlin: Springer, pp. 97-238
Analysis of Features and Metrics for Alignment in Text-Dependent Voice Conversion
in Pattern Recognition and Machine Intelligence. PReMI 2017, Lecture Notes in Computer Science, vol 10597., Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds), Springer, Cham pp. 299-307. doi: 10.1007/978-3-319-69900-4_38
ClusterDAM: Clustering Mechanism for Delivery of Adaptive Multimedia content in Two-Hop Wireless Networks
in Machine Learning and Systems Engineering , (LNEE vol. 68), Sio-Iong Ao, Burghard Rieger and Mahyar A. Amouzegar Eds. Berlin: Springer, pp. 385-396.
Spoken Keyword Retrieval Using Source and System Feature
in Pattern Recognition and Machine Intelligence. PReMI 2017, Lecture Notes in Computer Science, vol 10597., Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds), Springer, Cham pp. 333-341. doi: 10.1007/978-3-319-69900-4_42
For a few pots of water
in In Search of Economic Alternatives For Gender and Social Justice: Voices From India, Christa Wichterich Ed. Belgium: WIDE pp. 54-59.
Effectiveness of Mel Scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech
in Pattern Recognition and Machine Intelligence. PReMI 2017, Lecture Notes in Computer Science, vol 10597., Shankar B., Ghosh K., Mandal D., Ray S., Zhang D., Pal S. (eds), Springer, Cham pp. 308-316. doi: 10.1007/978-3-319-69900-4_39