IEEE Day 2023: Webinar- Signal Processing for AI and AI for Signal Processing
Introduction:
IEEE Day is an annual celebration of the Institute of Electrical and Electronics Engineers (IEEE), a global professional organization for individuals in electrical and electronics engineering. The event typically spans several days and features many activities, including webinars, workshops, and seminars. On the third day of the IEEE Day celebrations, October 5, 2023, an insightful webinar was conducted on the topic "Signal Processing for AI and AI for Signal Processing," featuring Dr. Geetanjali Srivastava, a renowned Research Scientist in the field of signal processing.
Webinar Overview:
The webinar commenced with a warm welcome to all attendees. Dr. Geetanjali Srivastava began by introducing herself and expressing her gratitude for the opportunity to speak at the IEEE Day celebrations. She provided an outline of the topics she would be covering during the session. She emphasized the significance of signal processing in the context of Artificial Intelligence (AI) and vice versa.
Key Points and Insights:
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Fundamentals of Signal Processing: Dr. Srivastava initiated the discussion by explaining the fundamental signal processing concepts. She described how signals, which can be in various forms, such as audio, image, or sensor data, are processed to extract meaningful information. She highlighted the critical role of signal processing in various real-world applications, including communication systems, medical imaging, and more.
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The intersection of Signal Processing and AI: The speaker then delved into the corner of signal processing and AI, showcasing how AI techniques are increasingly integrated into signal processing workflows. She emphasized the role of machine learning and deep learning in enhancing the analysis and interpretation of signals, leading to more efficient and accurate results.
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AI for Signal Processing: Dr. Srivastava also discussed the reverse relationship, where AI is employed to improve signal processing capabilities. She illustrated how AI technologies can optimize filtering, noise reduction, and feature extraction in signal processing tasks, resulting in better performance and faster analysis.
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Applications of Signal Processing in AI: The webinar featured practical applications of signal processing in AI. Examples included speech recognition, image and video analysis, and medical diagnostics, which rely heavily on signal processing techniques to enhance AI algorithms.
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Challenges and Future Directions: Dr Srivastava discussed the challenges faced in combining signal processing and AI, such as data quality and computational complexity. She also explored future directions in the field, including the potential for more efficient algorithms and the integration of AI in real-time signal processing systems.
Q&A Session:
A Q&A session was held after the presentation, where attendees could pose questions to Dr. Srivastava. The questions covered a wide range of topics, including practical implementation, research opportunities, and the role of AI in signal processing in emerging technologies.
Closing Remarks:
The webinar was brought to a close with sincere gratitude from Dr Geetanjali Srivastava to the IEEE community for their active participation and thoughtful questions. She encouraged attendees to continue exploring the synergy between signal processing and AI, as it holds the potential to revolutionize many industries.
Conclusion:
The IEEE Day 2023 webinar on "Signal Processing for AI and AI for Signal Processing" with Dr. Geetanjali Srivastava was an engaging and informative event that provided valuable insights into the convergence of these two crucial fields. The discussion highlighted the growing importance of AI in signal processing and vice versa, with practical applications in various domains. It was a valuable resource for professionals and enthusiasts interested in these exciting interdisciplinary developments.
The webinar on Day 3 of the IEEE Day celebrations was a testament to the organization's commitment to knowledge dissemination and professional growth in the ever-evolving electrical and electronics engineering field. It left attendees with a deeper understanding of the potential for AI and signal processing to shape the future of technology.
Date and Time
Location
Hosts
Registration
- Date: 05 Oct 2023
- Time: 11:00 AM to 11:50 AM
- All times are (UTC+05:30) Chennai
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- Lucknow , Uttar Pradesh
- India
- Building: SRMCEM
- Room Number: C-408
Speakers
Dr. Geetanjali Srivastava
Dr. Geetanjali Srivastava
Biography:
Dr. Geetanjali Srivastava is a distinguished researcher with a solid academic background and a passion for advancing the fields of signal processing and deep learning. She embarked on her educational journey at the prestigious Indian Institute of Technology (IIT) Delhi, where she earned her M.Tech—Followed by a PhD. She has been selected for the prestigious SERB-National Post Doctoral Fellowship (N-PDF), which aims to identify motivated young researchers and provide support for doing research in frontier areas of science and engineering.
After completing her doctoral studies, Dr. Geetanjali embarked on a career as a research scientist and educator. She has been instrumental in contributing to groundbreaking projects that have a profound impact on signal processing and natural language processing. She has published several papers at reputed IEEE national and international conferences, reviewed many documents for conferences and journals and worked as a mentor for professional courses.
Her research area includes signal processing, multirate filter banks, time-frequency analysis of non-stationary signals, biomedical signal processing, machine learning, deep learning, and natural language processing. She has been awarded the “Best Paper award” in the “Signal Processing and Communication Engineering track” at the ICACCP conference. She remains at the forefront of pioneering research, shaping the future of these fields.
Address:India