Giacinto Paolo Saggese

Portrait of Giacinto Paolo Saggese

Giacinto Paolo Saggese

Lecturer

Biography

  • Co-Founder & CTO @ Causify.AI
    • Developing production-grade Causal AI systems at Causify.AI, combining Bayesian inference, knowledge graphs, and temporal machine learning for decision-making under uncertainty. Applications include predictive maintenance, failure prediction, demand forecasting, and energy optimization.
  • 3x startup founder
  • Adjunct Professor, Computer Science @ University of Maryland, College Park
  • Industry experiences
    • Tech: NVIDIA, Synopsys, Intel
    • Finance: June, Teza, Engineers' Gate
  • Expertise:
    • Bayesian machine learning, LLMs, reasoning agents
    • 20+ years building AI/ML systems, quant strategies, and high-performance software
    • Been writing code almost every day for the last 35 years (see GitHub stats for the last few years)

Latest Papers

Approximate Multipliers Using Static Segmentation: Error Analysis and Improvements

| IEEE Trans. Circuits Syst. I Regul. Pap.


Automated Derivation of Application-Specific Error Detectors Using Dynamic Analysis

| IEEE Trans. Dependable Secur. Comput.


Dynamic Derivation of Application-Specific Error Detectors and their Implementation in Hardware

| Sixth European Dependable Computing Conference, EDCC 2006, Coimbra, Portugal, 18-20 October 2006


An Architectural Framework for Detecting Process Hangs/Crashes

| Dependable Computing - EDCC-5, 5th European Dependable Computing Conference, Budapest, Hungary, April 20-22, 2005, Proceedings


Microprocessor Sensitivity to Failures: Control vs Execution and Combinational vs Sequential Logic

| 2005 International Conference on Dependable Systems and Networks (DSN 2005), 28 June - 1 July 2005, Yokohama, Japan, Proceedings


Carry-Save Montgomery Modular Exponentiation on Reconfigurable Hardware

| 2004 Design, Automation and Test in Europe Conference and Exposition (DATE 2004), 16-20 February 2004, Paris, France


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