Arsalan Shahid works as a Principal Solutions Director at Brightbeam AI. Previously he served at CeADAR (Ireland’s centre for applied AI) and worked closely with business executives and technical stakeholders from the USA, Europe, and Asia, ensuring seamless collaboration between CeADAR and its industry partners. As a CeADAR PI, Arsalan supported startups, SMEs, PSOs, and MNCs in Ireland by advancing their AI and ML R&D. He led the CeADAR Connect industry placement program, shapes AI/ML training initiatives, provides guidance to data scientists on R&D projects, and promotes the centre’s technological solutions. Arsalan worked on a number of technology projects funded by the European Commission H2020, Enterprise Ireland, Helmsley Trust, Science Foundation Ireland, and ICT R&D Ignite Pakistan. His research contributed to advanced healthcare data analytics using AI/ML, intelligent cloud-based technologies, and high-performance computing and embedded computing platforms. Read More …

GitHub, ResearchGate, Google Scholar, Publons, ORCID, LinkedIn

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Current professional Appointments

  • Principal Solutions Director at Brightbeam AI. 

  • Technical Advisor at AroobTech, EU BDVA, and others.

My philosophy of life? I firmly believe that one is only as good; as benevolent he or she may be to the rest of the universe, systems, the people and self; in that order [98:7Quran].

Selected Opinion Pieces

  • Six ways AI will change Irish business in the next decade, Business Plus, 2024, Link

  • AI: Friend or Foe, UCD Connections Magazine, 2023, Link

  • AI can spread misinformation better than humans, study claims, Silicon Republic, 2023, Link

  • The great AI debate: Moratorium or responsible progress? Silicon Republic, 2023, Link

Recent Publications

  • Venkatesh BP, A. Zafar, A Khan, A. Shahid. DM Lewis “The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.“, in Arxiv, 2024, pdf, Scholar Google, DOI

  • A. Shahid. DM Lewis “Impact of Hypoglycemia on Glucose Variability over Time for Individuals with Open-Source Automated Insulin Delivery Systems.“, in Diabetology, MDPI, 2024, pdf, Scholar Google, DOI

  • Zafar A, Parthasarathy VB, Van CL, Shahid S, Khan AI, A. Shahid “Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs.“, in Big Data and Cognitive Computing, MDPI, 2024, pdf, Scholar Google, DOI

  • A Shahid, D M Lewis, “Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems“, in Nutrients, MDPI, May 2022, pdf, Scholar Google, DOI

View more publications here

Recent Posts

Selected Products and Released Software

  • CeADAR AI NewsHub, 2023, Link

  • CeADAR eLearning Platform, 2023, Link

  • Domain-specific large language models for AI news serving media and journalism use cases, 2023, Code

  • Glycemic Variability Assessment for Exocrine Pancreatic Insufficiency under PERT treatment, 2022, Code

  • Glucose variability and Statistical Analysis Scripts for OpenAPS Data Commons Diabetes Datasets, 2022, Code

  • DE-METER: Calculate Dynamic Energy Consumption Using RAPL Meter, 2019, Code

  • AdditivityChecker: Check Performance Events (PMCs) for Additivity, 2018, Publication, Code

  • SLOPE-PMC: Towards the Automation of PMCs Collection for Modern Multicore Platforms, 2016-2018, Code

  • XenoJetBench (V2.0): An Open Source Hard-Real-Time Multiprocessor Benchmark, 2016, Publication, Code