Dr Aaron Sharma (PhD)
Lead AI Researcher
Doctoral Researcher in Explainable AI (XAI): Specialises in enhancing machine learning interpretability for neuroscience and time series analysis.
Published in IEEE Conferences and Journals: Recognised for advancing XAI techniques using transformers and machine learning.
Multidisciplinary Background: Combines expertise in psychology, aerospace engineering, and data science to solve complex problems.
Applied AI Across Industries: Successfully implemented AI solutions in civil engineering, image processing, and business applications.
Leadership and Mentorship: Advocates for mental health in academia and mentors first-year PhD students.
Aaron Sharma is a Doctoral Researcher at Brunel University London, specialising in Explainable AI (XAI) with a focus on neuroscience and time series analysis. He leverages state-of-the-art machine learning techniques, including transformers, to enhance the interpretability of complex data, making AI-driven insights accessible and actionable for non-experts.
With a unique blend of psychology and aerospace engineering in his academic background, Aaron brings a multidisciplinary approach to problem-solving. His extensive expertise spans data science, machine learning, and AI, with advanced proficiency in Python, MATLAB, TensorFlow, and PyTorch. He is also skilled in time-series analysis techniques, such as Independent Component Analysis (ICA), which he applies to complex EEG data processing. Aaron's cutting-edge research is regularly featured at IEEE conferences and published in leading scientific journals.
Aaron’s practical experience extends beyond academia, having successfully applied his AI expertise to diverse fields including civil engineering, image processing, and business applications. His proven track record of adapting AI solutions across industries showcases his versatility and innovative approach to problem-solving. Additionally, his experience in sales, business development, and teaching equips him with the ability to communicate complex technical concepts to both technical and non-technical stakeholders, ensuring clear and impactful communication.
Passionate about bridging the gap between AI and real-world business applications, Aaron is committed to ensuring that machine learning models are not only powerful but also interpretable, ethical, and user-friendly. His vision aligns with SDUK's mission to harness AI's full potential to drive business productivity and efficiency.
Beyond his research, Aaron is an active contributor to the academic community. He represents doctoral researchers in mental health advocacy and mentors first-year PhD students, reflecting his commitment to leadership and knowledge-sharing.
With his exceptional blend of technical expertise, multidisciplinary insight, and effective communication skills, Aaron Sharma plays a pivotal role in SDUK's AI team, driving innovative and explainable AI solutions that empower businesses to make informed, data-driven decisions.
