Michael Nidd
Scholar

Michael Nidd

Google Scholar ID: s4CAERwAAAAJ
IBM Research
Computer networksComputer securityMachine LearningCloud Operations
Citations & Impact
All-time
Citations
499
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Publications:
  • * Bootstrapping Learned Cost Models with Synthetic SQL Queries, VLDB 2025
  • * ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks, ICML 2025
  • * Exploring Large Language Models for Low-Resource IT Information Extraction, ICDM 2023
  • * Improving Model Performance Using Metric-Guided Data Selection Framework, ICDM 2023
  • - Patents: Not specifically listed
  • - Projects: Involved in significant projects such as the ROMEO project, PASIR predictive analytics system, etc.
Research Experience
  • - Since 2018, using various forms of machine learning to process incident tickets in IT management.
  • - In 2025, started improving database engine performance using generative models to create SQL test queries.
  • - From 2018 through 2023, part of the ROMEO project focusing on designing and building cloud infrastructure for data collection, storage, and distribution to processing modules.
  • - From 2015 until 2018, used the PASIR predictive analytics system to support IBM Managed Security Services' security appliances.
  • - From 2011 through 2015, worked with the Services Innovation Lab (SIL) developing methods to quickly discover and classify network appliances in data centers.
  • - From 2008 through 2011, developed ways to locate and track business applications spanning multiple servers in the IBM environment.
  • - Until 2008, worked on gathering health data from wireless devices.
Education
  • Ph.D., supervised by Dr. Refik Molva, research conducted at Eurécom, formally enrolled at EPFL in Switzerland.
Background
  • Research Interests: AI for IT Operations, Database Engine Performance Optimization, Device Discovery in Wireless Networks, etc. Professional Field: Machine Learning, IT Management, Cloud Service Support.
Miscellany
  • Personal interests include DAB (Eureka-147), device discovery in wireless networks, programming for Symbian and MIDP, and Bluetooth technology (how it works and via the JSR-082 Java interface).
Co-authors
0 total
Co-authors: 0 (list not available)