Yeşim Hekim Tanc

With a Ph.D. in signal processing, expertise lies in extracting meaningful information from complex data streams and various signals. Combining knowledge in AI and signal processing, possesses the ability to develop innovative solutions for a diverse range of challenges and problems. Utilizing advanced coding and design skills, well-equipped to tackle complex projects and deliver effective results.

• Detection of Mechanical Deformations In EV Battery Cells With Macro-CT
• Classification of in situ EV Battery cells with high-resolution CT using deep learning
• Photoplethysmography Based Blood Pressure Estimation Using Synchrosqueezing Transform And Deep Learning
• Hypertension classification using PPG signals
• DWT based OFDM with DAPSK modulation for power line communication systems
• Modulation identification of digital M-ary QAM signals by Hilbert-Huang Transform
• Performance of low density parity check coded continuous phase frequency shift keying (LDPCC‐CPFSK) over fading channels
• Multilevel turbo coded-continuous phase frequency shift keying (MLTC-CPFSK) over satellite channels in space communication

C++ For C Programmers, Part A