Mithun P. Acharya
Senior Leader Scientist -- Artificial Intelligence
LexisNexis
Raleigh, NC USA
acharya DOT mithun AT gmail
LinkedIn Google Scholar Patents machseven@GitHub Facebook Twitter

I am a Senior Lead Data Scientist at LexisNexis (a legal AI leader), working in the areas of Natural Language Processing (NLP), Conversational AI, and Bots. Before that, as a Team Manager and Lead Principal Scientist, I led the Artificial Intelligence Group for the Carol Data and AI platform at TOTVS Labs (focusing on Computer Vision, NLP, and ERP/Tabular Analytics). Prior to that, I was a Machine Learning Tech Lead and Lead Principal Scientist at ABB (AI for power, robotics, and automation sectors). Areas of work and interest in AI include Deep Learning, NLP, Computer Vision, Timeseries Forecasting, Autonomous Systems, and Reinforcement Learning.


Selected Works
(For a full list, see Google Scholar and Patents)

    AI / Machine Learning and Data Mining

  1. Considering neighborhood structural similarity in Non-negative Matrix Factorization (NMF) makes NMF well suited for timeseries anomaly detection. Journal of Machine Learning Research (JMLR).
  2. Deep Audit: Neural attention models on tabular and relational data for insurance claims decision automation. US patent pending.
  3. ClockIn: Personnel time clock in with computer vision (facial verification and recognition). US patent pending.
  4. Computer vision (on smartphones, video cameras, and edge devices) for managing safety at industrial sites. US Patent 10,573,147 (+WO patent).
  5. 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.
  6. Cyber-attack detection with machine learning for networked electrical power system devices. US and WO patents pending.
  7. Location-aware analytics for industrial sites. US Patent 10,520,927 (+WO/EP/CN patents).
  8. Technologies for solar power system performance model tuning with machine learning. US and WO patents pending.
  9. Code Drones (On intelligent and socially active software artifacts that guide their own self-improvement; AI Bots for Software Engineering). See paper here. Visions Track at International Conference on Software Engineering (ICSE Visions). Best paper, runner up.
  10. Technologies for optimizing power grids through decentralized forecasting. US and WO patents pending.
  11. Industrial equipment installation (seamless information model updates for parts replacement; spare parts and inventory management). US Patent 10,331,119 (+WO patent)
  12. Technologies for producing training data (using techniques such as Generative Adversarial Networks (GANs)) for identifying degradation of physical components. US patent pending.
  13. Systems and methods for identifying anomalous events for electrical systems. US and WO patents pending.
  14. Machine Learning based real-time intrusion detection using processor execution timing information on embedded systems. Workshop at Real-time Systems Symposium (RTSS Workshop).
  15. 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).
  16. Diagnosis method and apparatus (analyzing logs from one or more robots for failure root cause clustered in time). EP and WO patents pending.
  17. Mining API Specifications from source code for improving software reliability. PhD dissertation.
  18. Machine learning for performance monitoring of services of services. Automated Software Engineering (ASE).
  19. Static API Specification Mining: Exploiting source code model checking. Book Chapter. Mining Software Specifications: Methodologies and Applications.
  20. Mining API error-handling specifications from source code. Fundamental Approaches to Software Engineering (FASE).
  21. Mining API patterns as partial orders from source code: from usage scenarios to specifications. Foundations of Software Engineering (FSE).

    22. Other Areas

  22. 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)
  23. Oracle-based regression test selection. International Conference on Software Testing (ICST).
  24. Configuration selection using code change impact analysis for regression testing. International Conference on Software Maintenance (ICSM).
  25. Impact analysis of configuration changes for test case selection. International Symposium on Software Reliability Engineering (ISSRE).
  26. Practical change impact analysis based on static program slicing for industrial software systems. Industry Track at International Conference on Software Engineering (ICSE Practice).
  27. Intelligent jamming in wireless networks with applications to 802.11b and other networks. Military Communications Conference (MILCOM). Nominee, Fred W. Ellersick best paper award.
  28. Method for distributing keys for encrypted data transmission in wireless sensor networks. US Patent 7,702,905 (+DE/JP patents).
  29. Secure comparison of encrypted data in wireless sensor networks. Wireless Modeling and Optimization Symposium (WiOpt).
  30. Concealed data aggregation for reverse multicast traffic in sensor networks: Encryption, key distribution, and routing adaptation. IEEE Transactions on Mobile Computing. Featured article.