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Abani K. Patra
University at Buffalo
157Publications
26H-index
1,847Citations
Publications 161
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Computing the adjoint for a transient non-linear hyperbolic PDE, like the Savage–Hutter equation for modeling dry granular mass flows, is a challenge with often unaffordable computing and memory costs. The challenges are further compounded for an adaptive mesh refinement (AMR) parallel code. For legacy codes, addressing these difficulties are constrained with the original design and data structures which refactoring those to be well-suited for the adjoint computation may end up to almost a new d...
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#1Jeanette M. Sperhac (SUNY: State University of New York System)H-Index: 4
#2Robert L. DeLeon (SUNY: State University of New York System)H-Index: 11
Last.Gregary Dean (SUNY: State University of New York System)
view all 14 authors...
Abstract The U.S. National Science Foundation (NSF) has invested heavily in research computing, funding the XSEDE network of supercomputers and enabling their integration with science gateways. To ensure maximal return on this substantial investment, it is essential to monitor the use of these computing resources. XD Metrics on Demand (XDMoD) is an NSF-funded tool that was developed to help manage high performance computational resources. XDMoD metrics describe accounting and performance data fo...
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#1Regis Rutarindwa (Marquette University)H-Index: 1
#2Elaine T. Spiller (Marquette University)H-Index: 6
Last.Abani K. Patra (SUNY: State University of New York System)H-Index: 26
view all 5 authors...
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#1Regis RutarindwaH-Index: 1
#2Elaine T. SpillerH-Index: 6
Last.Abani K. PatraH-Index: 26
view all 5 authors...
#1Andrea Bevilacqua (UB: University at Buffalo)H-Index: 7
#2Eric Bruce Pitman (UB: University at Buffalo)
Last.Barry Voight (PSU: Pennsylvania State University)H-Index: 52
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We introduce a doubly stochastic method for performing material failure theory based forecasts of volcanic eruptions. The method enhances the well known Failure Forecast Method equation, introducing a new formulation similar to the Hull-White model in financial mathematics. In particular, we incorporate a stochastic noise term in the original equation, and systematically characterize the uncertainty. The model is a stochastic differential equation with mean reverting paths, where the traditional...
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#1Sreelekha Guggilam (SUNY: State University of New York System)H-Index: 1
#2Syed Mohammed Arshad Zaidi (SUNY: State University of New York System)
Last.Abani K. Patra (SUNY: State University of New York System)H-Index: 26
view all 4 authors...
Most current clustering based anomaly detection methods use scoring schema and thresholds to classify anomalies. These methods are often tailored to target specific data sets with “known” number of clusters. The paper provides a streaming clustering and anomaly detection algorithm that does not require strict arbitrary thresholds on the anomaly scores or knowledge of the number of clusters while performing probabilistic anomaly detection and clustering simultaneously. This ensures that the clust...
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#1Sreelekha GuggilamH-Index: 1
#2S. M. Arshad ZaidiH-Index: 1
Last.Abani K. PatraH-Index: 26
view all 4 authors...
Data-driven anomaly detection methods typically build a model for the normal behavior of the target system, and score each data instance with respect to this model. A threshold is invariably needed to identify data instances with high (or low) scores as anomalies. This presents a practical limitation on the applicability of such methods, since most methods are sensitive to the choice of the threshold, and it is challenging to set optimal thresholds. We present a probabilistic framework to explic...
1 Citations
#1Andrea BevilacquaH-Index: 1
#2Marcus I. BursikH-Index: 34
Last.Ryan TillH-Index: 1
view all 5 authors...
1 Citations
#1Andrea Bevilacqua (UB: University at Buffalo)H-Index: 7
#2Abani K. Patra (UB: University at Buffalo)H-Index: 26
Last.David Hyman (UB: University at Buffalo)H-Index: 2
view all 7 authors...
Abstract. We detail a new prediction-oriented procedure aimed at volcanic hazard assessment based on geophysical mass flow models constrained with heterogeneous and poorly defined data. Our method relies on an itemized application of the empirical falsification principle over an arbitrarily wide envelope of possible input conditions. We thus provide a first step towards a objective and partially automated experimental design construction. In particular, instead of fully calibrating model inputs ...
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