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Mithun P. Acharya
Lead Principal Scientist & Team Manager -- Artificial Intelligence
TOTVS Labs
Raleigh, NC USA
acharya DOT mithun AT gmail
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At TOTVS Labs, I lead the Artificial Intelligence group for the Carol Data and AI platform.
Selected Works
(For a full list, see Google Scholar and Patents)
AI / Machine Learning and Data Mining
- Considering neighborhood structural similarity in Non-negative Matrix Factorization (NMF) makes NMF well suited for timeseries anomaly detection. Journal of Machine Learning Research (JMLR).
- Deep Audit: Neural attention models on tabular and relational data for insurance claims decision automation. US patent pending.
- ClockIn: Personnel time clock in with computer vision (facial verification and recognition). US patent pending.
- Computer vision (on smartphones, video cameras, and edge devices) for managing safety at industrial sites. US Patent 10,573,147 (+WO patent).
- a) Real-time AI powered by edge-deployed digital twins (Edge computing and analytics in synergy with the cloud). b) Managing solar asset performance with connected analytics. ABB Review. Digital Twins and Simulation Edition.
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Cyber-attack detection with machine learning for networked electrical power system devices. US and WO patents pending.
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Location-aware analytics for industrial sites. US Patent 10,520,927 (+WO/EP/CN patents).
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Technologies for solar power system performance model tuning with machine learning. US and WO patents pending.
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Code Drones (On intelligent and socially active software artifacts that guide their own self-improvement; AI Bots for Software Engineering). See presentation slides here. Visions Track at International Conference on Software Engineering (ICSE Visions). Best paper, runner up.
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Technologies for optimizing power grids through decentralized forecasting. US and WO patents pending.
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Industrial equipment installation (seamless information model updates for parts replacement; spare parts and inventory management). US Patent 10,331,119 (+WO patent)
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Technologies for producing training data (using techniques such as Generative Adversarial Networks (GANs)) for identifying degradation of physical components. US patent pending.
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Systems and methods for identifying anomalous events for electrical systems. US and WO patents pending.
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Machine Learning based real-time intrusion detection using processor execution timing information on embedded systems. Workshop at Real-time Systems Symposium (RTSS Workshop).
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Data mining and graph analytics techniques for industrial alarm management. A series of patents and filings resulted from this work: US Patent 10,523,495, EP Patent 3 187 950, WO/2016/141007, US20190165989 (also published as CN111656418, WO/2019/104296, and EP3718093).
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Diagnosis method and apparatus (analyzing logs from one or more robots for failure root cause clustered in time). EP and WO patents pending.
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Mining API Specifications from source code for improving software reliability. PhD dissertation.
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Machine learning for performance monitoring of services of services. Automated Software Engineering (ASE).
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Static API Specification Mining: Exploiting source code model checking. Book Chapter. Mining Software Specifications: Methodologies and Applications.
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Mining API error-handling specifications from source code. Fundamental Approaches to Software Engineering (FASE).
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Mining API patterns as partial orders from source code: from usage scenarios to specifications. Foundations of Software Engineering (FSE).
Other Areas
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Imp: A change impact analysis tool (Visual Studio plugin) for C/C++ that integrates with version control and build systems. Foundations of Software Engineering Tool Demo (FSE Tools)
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Oracle-based regression test selection. International Conference on Software Testing (ICST).
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Configuration selection using code change impact analysis for regression testing. International Conference on Software Maintenance (ICSM).
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Impact analysis of configuration changes for test case selection. International Symposium on Software Reliability Engineering (ISSRE).
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Practical change impact analysis based on static program slicing for industrial software systems. Industry Track at International Conference on Software Engineering (ICSE Practice).
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Intelligent jamming in wireless networks with applications to 802.11b and other networks. Military Communications Conference (MILCOM). Nominee, Fred W. Ellersick best paper award.
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Method for distributing keys for encrypted data transmission in wireless sensor networks. US Patent 7,702,905 (+DE/JP patents).
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Secure comparison of encrypted data in wireless sensor networks. Wireless Modeling and Optimization Symposium (WiOpt).
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Concealed data aggregation for reverse multicast traffic in sensor networks: Encryption, key distribution, and routing adaptation. IEEE Transactions on Mobile Computing. Featured article.
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