About Yating Wan Yating Wan Assistant Professor, Electrical and Computer Engineering photonics Optical Wireless Communication on-chip light sources heterogeneous integration CMOS-compatible photonics semiconductor optoelectronics integrated photonics Dr. Yating Wan, an assistant professor of electrical and computer engineering at KAUST, excels in silicon photonics, with special emphasis on the integration of on-chip light sources. Events Presented Events Sep 6 - Sep 12, 2026 Integrated Silicon Photonics with Quantum Dot On-Chip Lasers: Enabling Scalable and Energy-Efficient Photonic Systems Yating Wan, Assistant Professor, Electrical and Computer Engineering Sep 6, 14:00 - 15:30 B2/3 A0215; Zoom Meeting 96429698106 quantum dot lasers integrated photonics energy efficiency photonic systems This talk presents how quantum dot lasers integrated on silicon provide the missing on-chip light source for scalable photonic systems spanning AI computing, hardware security, and coherent LiDAR sensing. Oct 26 - Nov 1, 2025 Integrated Silicon Photonics with Quantum Dot On-Chip Lasers Yating Wan, Assistant Professor, Electrical and Computer Engineering Oct 26, 12:00 - 13:00 B9, L2, R2325 Integrated silicon photonic has emerged as a leading solution for scalable, power-efficient, and environmentally friendly applications. This talk will focus on the prospects and applications of on-chip lasers, a critical component driving the advancement of photonic integrated circuits (PICs). We will discuss various approaches to integrating lasers on silicon and their applications in optical communication, computing, and LiDAR, with a particular emphasis on heterogeneous integration of quantum dot (QD) lasers. QD lasers offer unique advantages, including high immunity to reflection, superior thermal stability, low threshold, and long-term reliability, making them ideal for high-speed optical interconnects, AI-driven computing, and quantum photonic systems. By leveraging the defect tolerance and temperature resilience of QDs, we achieve high-performance, energy-efficient integration with silicon photonics. This talk will highlight recent breakthroughs in QD-on-silicon integration, performance optimizations, and future directions toward heterogeneous photonic systems, paving the way for a new generation of high-speed, low-energy, and scalable optical circuits for next-generation applications.
Integrated Silicon Photonics with Quantum Dot On-Chip Lasers: Enabling Scalable and Energy-Efficient Photonic Systems Yating Wan, Assistant Professor, Electrical and Computer Engineering Sep 6, 14:00 - 15:30 B2/3 A0215; Zoom Meeting 96429698106 quantum dot lasers integrated photonics energy efficiency photonic systems This talk presents how quantum dot lasers integrated on silicon provide the missing on-chip light source for scalable photonic systems spanning AI computing, hardware security, and coherent LiDAR sensing.
Integrated Silicon Photonics with Quantum Dot On-Chip Lasers Yating Wan, Assistant Professor, Electrical and Computer Engineering Oct 26, 12:00 - 13:00 B9, L2, R2325 Integrated silicon photonic has emerged as a leading solution for scalable, power-efficient, and environmentally friendly applications. This talk will focus on the prospects and applications of on-chip lasers, a critical component driving the advancement of photonic integrated circuits (PICs). We will discuss various approaches to integrating lasers on silicon and their applications in optical communication, computing, and LiDAR, with a particular emphasis on heterogeneous integration of quantum dot (QD) lasers. QD lasers offer unique advantages, including high immunity to reflection, superior thermal stability, low threshold, and long-term reliability, making them ideal for high-speed optical interconnects, AI-driven computing, and quantum photonic systems. By leveraging the defect tolerance and temperature resilience of QDs, we achieve high-performance, energy-efficient integration with silicon photonics. This talk will highlight recent breakthroughs in QD-on-silicon integration, performance optimizations, and future directions toward heterogeneous photonic systems, paving the way for a new generation of high-speed, low-energy, and scalable optical circuits for next-generation applications.
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