Adiba Tabassum Chowdhury
Aspiring Cybersecurity Analyst and AI/ML Researcher
Australia
State College, Pennsylvania, United States
Summary
Adiba Tabassum is a rising professional in the cybersecurity and AI fields, currently serving as a Vulnerability Data Officer at Triskele Labs. Her foundational experience as an Advanced AI Data Trainer at Invisible Technologies Inc. involved analyzing data patterns in machine models and developing optimal conversation examples for AI training, demonstrating a strong aptitude for practical AI applications. theorg
Academically, Adiba has a robust background in computer science and information technology, holding an undergraduate degree from BRAC University in Computer Science and Engineering and currently pursuing a Master's in IT with a specialization in Cybersecurity from La Trobe University. Her academic pursuits align with her professional roles, showcasing a continuous development in technical and analytical skills. theorg
Beyond her professional and academic endeavors, Adiba Tabassum Chowdhury has a notable record in academic research and publications, contributing to various papers in areas such as machine learning, neuroscience, big data for disease surveillance, and AI tools in pediatric urology. Her research demonstrates a deep engagement with cutting-edge technological advancements and their applications in diverse scientific domains. frontiersin+5
Work
Education
Writing
Decoding silent speech: a machine learning perspective on data, methods, and frameworks
January 1, 2025Explores machine learning approaches for decoding silent speech, covering data, methods, and frameworks.
Neural signals, machine learning, and the future of inner speech recognition
January 1, 2025Discusses the use of neural signals and machine learning for advancing inner speech recognition.
Multi-class subarachnoid hemorrhage severity prediction
January 1, 2025Research on predicting the severity of multi-class subarachnoid hemorrhage.
Artificial Intelligence Tools in Pediatric Urology: A Comprehensive Review of Recent Advances
January 1, 2024A comprehensive review of recent advancements in artificial intelligence tools for pediatric urology.
Application of big data in infectious disease surveillance: Contemporary challenges and solutions
January 1, 2024Examines the challenges and solutions in applying big data for infectious disease surveillance.
Spelling interface using intracortical signals in a completely locked-in patient enabled via auditory neurofeedback training
January 1, 2022Demonstrates a brain-computer interface that enables communication for completely locked-in patients using intracortical signals and auditory neurofeedback training.