{"id":1542,"date":"2024-09-23T10:08:21","date_gmt":"2024-09-23T10:08:21","guid":{"rendered":"https:\/\/neurologyconf.com\/?p=1542"},"modified":"2024-09-23T10:08:21","modified_gmt":"2024-09-23T10:08:21","slug":"keynote-speaker-spotlight-dr-pranjali-gajbhiye-on-ai-and-neuroinformatics-in-psychiatry","status":"publish","type":"post","link":"https:\/\/clsconf.com\/neurology\/keynote-speaker-spotlight-dr-pranjali-gajbhiye-on-ai-and-neuroinformatics-in-psychiatry\/","title":{"rendered":"Keynote Speaker Spotlight: Dr. Pranjali Gajbhiye on AI and Neuroinformatics in Psychiatry"},"content":{"rendered":"

Keynote Speaker Spotlight: Dr. Pranjali Gajbhiye<\/a> on AI and Neuroinformatics in Psychiatry<\/a><\/h1>\n
We are excited to announce Dr. Pranjali Gajbhiye as a keynote speaker for the upcoming session on “Artificial Intelligence and Neuroinformatics in Psychiatry” at the 3rd European Congress of Neurology and Neuropsychiatry, scheduled for February 17-18, 2025, in Amsterdam. Dr. Gajbhiye is a distinguished neuroscientist at Woxsen University, where she leads the Human-Machine Interaction Lab and focuses on innovative solutions at the intersection of AI and neuroscience.<\/p>\n
Background and Expertise<\/h3>\n
Dr. Gajbhiye holds a Ph.D. in Biomedical Signal Processing from the Birla Institute of Technology and Science (BITS), Pilani. Her research has significantly contributed to the field of biomedical engineering, specifically in EEG signal processing. With over seven publications in esteemed journals, she has explored advanced methods to eliminate artifacts from EEG signals\u2014crucial for applications such as seizure detection, emotion recognition, and cognitive assessments.<\/p>\n
Her thesis, titled “Multiscale Hybrid Approaches for the Elimination of Different Artifacts from EEG Signals,” delves into cutting-edge techniques for improving the accuracy of EEG data, making it indispensable for both clinical and research settings.<\/p>\n
Professional Journey<\/h3>\n
Before joining Woxsen University, Dr. Gajbhiye worked as a DSP engineer at Nirvesh Enterprises, where she was involved in research and development for in-ear EEG and fNIRS signals aimed at brain stroke detection. Her academic journey includes a Master\u2019s degree from Visvesvaraya National Institute of Technology (VNIT) and practical experience in Python programming at Infosys.<\/p>\n
Dr. Gajbhiye’s contributions extend beyond academia; she actively engages in projects that harness machine learning and AI to enhance neuroinformatics, paving the way for future innovations in psychiatry and mental health.<\/p>\n
\n
Why Attend Dr. Gajbhiye’s Session?<\/h3>\n
Attendees can expect to gain valuable insights into how AI is reshaping neuroinformatics and its implications for psychiatric practice. Dr. Gajbhiye will discuss state-of-the-art methodologies, recent advancements, and the potential future of integrating AI in mental health diagnostics and treatment.<\/p>\n
Join Us in Amsterdam<\/h3>\n
This is a unique opportunity to hear from a leading expert in the field and to engage with fellow researchers, practitioners, and enthusiasts. Don\u2019t miss the chance to explore the future of neurology and neuroinformatics!<\/p>\n
For more information about the conference and to register, visit www.neurologyconf.com<\/a>.<\/p>\n<\/blockquote>\n
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