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Uday Shankar Shanthamallu
Arizona State University
13Publications
2H-index
44Citations
Publications 14
Newest
Last.Farib KhondokerH-Index: 1
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May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
#2Sunil Rao (ASU: Arizona State University)H-Index: 4
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 28
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Machine Learning (ML) and Artificial Intelligence (AI) algorithms are enabling several modern smart products and devices. Furthermore, several initiatives such as smart cities and autonomous vehicles utilize AI and ML computational engines. The current and emerging applications and the growing industrial interest in AI necessitate introducing ML algorithms at the undergraduate level. In this paper, we describe a series of activities to introduce ML in undergraduate digital signal processing (DSP...
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Modern data analysis pipelines are becoming increasingly complex due to the presence of multiview information sources. While graphs are effective in modeling complex relationships, in many scenarios, a single graph is rarely sufficient to succinctly represent all interactions, and hence, multilayered graphs have become popular. Though this leads to richer representations, extending solutions from the single-graph case is not straightforward. Consequently, there is a strong need for novel solutio...
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Modern data analysis pipelines are becoming increasingly complex due to the presence of multi-view information sources. While graphs are effective in modeling complex relationships, in many scenarios a single graph is rarely sufficient to succinctly represent all interactions, and hence multi-layered graphs have become popular. Though this leads to richer representations, extending solutions from the single-graph case is not straightforward. Consequently, there is a strong need for novel solutio...
2 Citations
#1Abhinav DixitH-Index: 1
Last.Mahesh K. Banavar (Clarkson University)H-Index: 14
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This work in progress paper describes software that enables online machine learning experiments in an undergraduate DSP course. This software operates in HTML5 and embeds several digital signal processing functions. The software can process natural signals such as speech and can extract various features, for machine learning applications. For example in the case of speech processing, LPC coefficients and formant frequencies can be computed. In this paper, we present speech processing, feature ex...
1 CitationsSource
#1Farib Khondoker (ASU: Arizona State University)H-Index: 1
#2Trevor Thornton (ASU: Arizona State University)H-Index: 23
Last.Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
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Internet of Things (IoT) has enabled several applications related to data analytics. In this paper, an intuitive method for optimizing activity detection data is presented. Further applications include exploring detection accuracies of physical activities such as walking intensity and movement on stairs. This method utilizes different Microcontroller Units (MCUs) with embedded sensors which are used for activity detection. Additionally, this method also incorporates supervised learning - more sp...
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#1Abhinav Dixit (ASU: Arizona State University)H-Index: 1
#2Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
Last.Huan SongH-Index: 4
view all 12 authors...
1 Citations
#1Andreas SpaniasH-Index: 28
Last.Sule OzevH-Index: 21
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#1Andreas SpaniasH-Index: 28
Last.Sule OzevH-Index: 21
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#1Abhinav DixitH-Index: 1
Last.Huan SongH-Index: 4
view all 12 authors...
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