Email: [email protected]
LinkedIn: Tanay Patel
Biography:
Tanay Kamlesh Patel is a Ph.D. student in Electrical Engineering and a Graduate Research Assistant at the SenSIP Center at Arizona State University, specializing in multidimensional signal processing with a focus on classical and quantum machine learning algorithms. His work spans deep learning, quantum computing, and statistical signal processing, with applications in speech, audio, music synthesis, imaging, and anomaly detection. His work has been accepted at conferences such as ISCAS and Asilomar. His research also integrates reinforcement learning-based graph neural networks for anomaly detection, leveraging novel feature engineering techniques. At SenSIP, he contributes to multiple projects, including quantum-enhanced signal processing and hybrid quantum-classical deep learning models. He has mentored undergraduate and graduate students as part of NSF-funded REU, RET, and IRES programs and has worked on pioneering research in Quantum Fourier Transforms and Quantum Self-Attention Networks. In addition to his research, Tanay serves as a Teaching Assistant for Digital Signal Processing courses, where he assists students in developing a strong foundation in signal analysis and algorithm implementation.
Acknowledgement:
Tanay extends his profound gratitude for the unwavering guidance and support from his advisors, peers, and the ASU community, who have been instrumental in his academic and personal growth. The mentorship and encouragement from them have been crucial in navigating the challenges and triumphs of his Ph.D. journey.