Satish Mulleti
Biography
Born in Kharagpur, West Bengal, Satish Mulleti is currently an Assistant Professor in the Department of Electrical Engineering at IIT Bombay. He completed his schooling at S.E. Railway Mixed High School and Railway Boy’s High School before pursuing a B.Tech. at Jalpaiguri Government Engineering College. He holds an M.Tech. from IIT Kanpur and a Ph.D. from the Indian Institute of Science (IISc), Bangalore.
His professional trajectory includes significant experience in both research and industry, having served at ISRO and TCS Innovation Labs. Prior to joining IIT Bombay in 2021, he spent over four years as a postdoctoral researcher in Israel at Technion and the Weizmann Institute of Science.
Publications
2020
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Digitization of electrocardiogram using bilateral filteringbioRxiv, Apr 2020Cite Download .bib@article{sankar2020digitization, author = {Sankar S, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.}, journal = {bioRxiv}, title = {Digitization of electrocardiogram using bilateral filtering}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:rmuvC79q63oC}, year = {2020} }Link
2018
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On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrievalIEEE Transactions on Signal Processing, Apr 2018Cite Download .bib@article{shenoy2018two, author = {Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.}, journal = {IEEE Transactions on Signal Processing}, number = {14}, pages = {3906--3917}, title = {On two-dimensional Hilbert integral equations, generalized minimum-phase signals, and phase retrieval}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:4MWp96NkSFoC}, volume = {66}, year = {2018} }Link
2017
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Paley–Wiener characterization of kernels for finite-rate-of-innovation samplingIEEE Transactions on Signal Processing, Apr 2017Cite Download .bib@article{mulleti2017paley, author = {Mulleti, S. and Seelamantula, C. S.}, journal = {IEEE Transactions on Signal Processing}, number = {22}, pages = {5860--5872}, title = {Paley–Wiener characterization of kernels for finite-rate-of-innovation sampling}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:t7zJ5fGR-2UC}, volume = {65}, year = {2017} }Link
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Super-resolved nuclear magnetic resonance spectroscopyScientific reports, Apr 2017Cite Download .bib@article{mulleti2017super, author = {Mulleti, S. and Singh, A. and Brahmkhatri, V. P. and Chandra, K. and Raza, T. and Mukherjee, S. P. and others}, journal = {Scientific reports}, number = {1}, pages = {9651}, title = {Super-resolved nuclear magnetic resonance spectroscopy}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:9Nmd_mFXekcC}, volume = {7}, year = {2017} }Link
2016
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Digitization of Electrocardiogram Using Bilateral FilteringInnovative Computer Sciences Journal, Apr 2016Cite Download .bib@article{sadasivan2016digitization, author = {Sadasivan, H. and Patni, A. and Mulleti, S. and Seelamantula, C. S.}, journal = {Innovative Computer Sciences Journal}, number = {1}, pages = {1--10}, title = {Digitization of Electrocardiogram Using Bilateral Filtering}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:u-coK7KVo8oC}, volume = {2}, year = {2016} }Link
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IEEE TSP 16FRI sampling on structured nonuniform grids—Application to super-resolved optical imagingIEEE Transactions on Signal Processing, Apr 2016Cite Download .bib@article{mulleti2016fri, author = {Mulleti, S. and Shenoy, B. A. and Seelamantula, C. S.}, journal = {IEEE Transactions on Signal Processing}, number = {15}, pages = {3841--3853}, title = {FRI sampling on structured nonuniform grids—Application to super-resolved optical imaging}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:5ugPr518TE4C}, volume = {64}, year = {2016} }Link
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NCC 16Sampling and reconstruction of time-limited signals using sum-of-sincs kernelIn Twenty Second National Conference on Communication (NCC), Apr 2016Cite Download .bib@inproceedings{mulleti2016sampling, author = {Mulleti, S. and Seelamantula, C. S.}, booktitle = {Twenty Second National Conference on Communication (NCC)}, pages = {1--6}, title = {Sampling and reconstruction of time-limited signals using sum-of-sincs kernel}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=200&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ye4kPcJQO24C}, year = {2016} }Link
2015
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IEEE TIP 15Ellipse fitting using the finite rate of innovation sampling principleIEEE Transactions on Image Processing, Apr 2015Cite Download .bib@article{mulleti2015ellipse, author = {Mulleti, S. and Seelamantula, C. S.}, journal = {IEEE Transactions on Image Processing}, number = {3}, pages = {1451--1464}, title = {Ellipse fitting using the finite rate of innovation sampling principle}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:eflP2zaiRacC}, volume = {25}, year = {2015} }Link
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IEEE TSP 15Exact phase retrieval in principal shift-invariant spacesIEEE Transactions on Signal Processing, Apr 2015Cite Download .bib@article{shenoy2015exact, author = {Shenoy, B. A. and Mulleti, S. and Seelamantula, C. S.}, journal = {IEEE Transactions on Signal Processing}, number = {2}, pages = {406--416}, title = {Exact phase retrieval in principal shift-invariant spaces}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:VOx2b1Wkg3QC}, volume = {64}, year = {2015} }Link
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ICASSP 15Periodic non-uniform sampling for FRI signalsIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015Cite Download .bib@inproceedings{mulleti2015periodic, author = {Mulleti, S. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Periodic non-uniform sampling for FRI signals}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:8AbLer7MMksC}, year = {2015} }Link
2014
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IEEE TSP 14Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principleIEEE Transactions on Signal Processing, Apr 2014Cite Download .bib@article{seelamantula2014super, author = {Seelamantula, C. S. and Mulleti, S.}, journal = {IEEE Transactions on Signal Processing}, number = {19}, pages = {5020--5029}, title = {Super-resolution reconstruction in frequency-domain optical-coherence tomography using the finite-rate-of-innovation principle}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:3s1wT3WcHBgC}, volume = {62}, year = {2014} }Link
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ICIP 14Ultrasound image reconstruction using the finite-rate-of-innovation principleIn IEEE International Conference on Image Processing (ICIP), Apr 2014Cite Download .bib@inproceedings{mulleti2014ultrasound, author = {Mulleti, S. and Nagesh, S. and Langoju, R. and Patil, A. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Image Processing (ICIP)}, pages = {1728--1732}, title = {Ultrasound image reconstruction using the finite-rate-of-innovation principle}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&pagesize=100&citation_for_view=1g1i1B4AAAAJ:f2IySw72cVMC}, year = {2014} }Link
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ICASSP 14On the role of the Hilbert transform in boosting the performance of the annihilating filterIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2014Cite Download .bib@inproceedings{nagesh2014role, author = {Nagesh, S. and Mulleti, S. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {On the role of the Hilbert transform in boosting the performance of the annihilating filter}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:SeFeTyx0c_EC}, year = {2014} }Link
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ICASSP 14Ellipse fitting using finite rate of innovation principlesIn IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2014Cite Download .bib@inproceedings{mulleti2014ellipse, author = {Mulleti, S. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, title = {Ellipse fitting using finite rate of innovation principles}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:ZHo1McVdvXMC}, year = {2014} }Link
2013
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CONECCT 13A multichannel sampling method for 2-D finite-rate-of-innovation signalsIn IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Apr 2013Cite Download .bib@inproceedings{mulleti2013multichannel, author = {Mulleti, S. and Shenoy, B. A. and Seelamantula, C. S.}, booktitle = {IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)}, title = {A multichannel sampling method for 2-D finite-rate-of-innovation signals}, url = {https://scholar.google.com/citations?view_op=view_citation&hl=en&user=1g1i1B4AAAAJ&cstart=100&pagesize=100&citation_for_view=1g1i1B4AAAAJ:mB3voiENLucC}, year = {2013} }Link