Dr. Yanan Sun | In memory computing | Best Researcher Award

Published on by Global Energy Awards

Dr. Yanan Sun | In Memory Computing | Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Y. Sun earned his Ph.D. in Electronic and Computer Engineering from The Hong Kong University of Science and Technology (2015) and his B.S. in Microelectronics from Shanghai Jiao Tong University (2009). He is currently an Associate Professor of Electrical Engineering at Shanghai Jiao Tong University, where he previously served as Assistant Professor. His research focuses on in-memory computing, energy-efficient digital integrated circuits, neuromorphic computing, and AI hardware acceleration. He has published extensively in top-tier journals such as IEEE TCAS-I, TCAD, JSSC, TED, and TGRS, and at leading conferences including DAC, ICCAD, DATE, ISSCC, and ISCAS, with several works nominated for or receiving Best Paper Awards. Notably, he received the First Place Best Paper Award at the IEEE International Conference on Microelectronics (2014) and Best Paper Award nominations at DATE (2020) and ICTA (2023). His impactful contributions span monolithic 3D memory, ReRAM-based neural network acceleration, metastability mitigation in SoCs, and computing-in-memory architectures, demonstrating strong expertise at the intersection of circuit design, architectures, and AI acceleration.

Profile:  Scopus | Google Scholar | ORCID

Featured Publications

"Robust Monolithic 3D Carbon-Based Computing-in-SRAM with Variation-Aware Bit-Wise Data-Mapping for High-Performance and Integration Density"

"HyCTor: A Hybrid CNN-Transformer Network Accelerator With Flexible Weight/Output Stationary Dataflow and Multicore Extension"

"Hop-CIM: An all-digital two-level approximate SRAM-CIM macro for high energy-efficient HNN acceleration with data-aware early exit and column-wise partial-sum reuse"

"A Metastability Risk Prediction and Mitigation Technique for Clock-Domain Crossing with Single-Stage Synchronizer in Near-Threshold-Voltage Millivoltage/ Frequency-Domain Network-on-Chip"

"Enabling Low-Power Charge-Domain Nonvolatile Computing-in-Memory (CIM) with Ferroelectric Memcapacitor"

Rehmat Bashir | Advanced Computing | Best Researcher Award

Published on by Global Energy Awards

Dr. Rehmat Bashir | Advanced Computing | Best Researcher Award 

Lecturer at University of Engineering and Technology, Lahore, Pakistan

Rehmat Bashir is a dedicated researcher and lecturer in Mechanical Engineering with a focus on fracture mechanics and stress corrosion cracking. Born on July 19, 1991, in Pakistan, he is currently based at Xi’an University of Science and Technology in China. With exceptional communication skills, Rehmat excels at connecting with students and colleagues from diverse backgrounds. He has a passion for exploring nature, which reflects his curiosity and desire for continuous learning. Throughout his academic career, he has been committed to advancing knowledge in his field, contributing to several high-impact publications, and mentoring master’s students in their research endeavors.

Profile:

Education:

Rehmat Bashir completed his Ph.D. in Mechanical Engineering at Xi’an University of Science and Technology from September 2018 to November 2023, focusing on crucial areas such as fracture mechanics and stress corrosion cracking in nuclear power plants. Prior to this, he earned his Master’s degree in Mechanical Engineering from the University of Engineering and Technology, Lahore, Pakistan, from January 2015 to July 2017. His foundational education includes a Bachelor of Science in Mechanical Engineering from the same institution, which he completed in June 2014. This strong academic background equips him with the knowledge and skills necessary for his research and teaching roles.

Professional experience:

With nearly nine years of teaching experience, Rehmat Bashir has been a lecturer at the University of Engineering and Technology, Lahore, since September 2014. His role involves delivering lectures, supervising student research, and managing laboratory activities. Rehmat’s extensive research experience is evident through his numerous publications in reputable journals, where he addresses significant engineering challenges. He actively engages in research projects related to fracture mechanics, contributing to advancements in safety and performance in nuclear engineering. His experience in lab management and student mentorship showcases his commitment to fostering a supportive learning environment while advancing the field of mechanical engineering.

Research focus:

Rehmat Bashir’s research primarily centers on fracture mechanics, particularly the study of stress corrosion cracking and fatigue cracking in nuclear power plants. His innovative work employs advanced methodologies, such as the Extended Finite Element Method (XFEM), to analyze crack propagation and the mechanical behavior of materials under stress. By investigating the interactions between cyclic loading and cracking rates, he aims to enhance the safety and efficiency of nuclear infrastructure. His research has significant implications for material science and engineering, contributing valuable insights into the durability and reliability of critical components in high-stakes environments. Rehmat’s dedication to advancing this field positions him as a valuable asset to both academia and industry.

Publication Top Notes:

  • Title: Interaction of Cyclic Loading (Low-Cyclic Fatigue) with Stress Corrosion Cracking (SCC) Growth Rate
    Authors: Rehmat Bashir, He Xue, Rui Guo, Yueqi Bi, Muhammad Usman
    Year: 2020
    Citations: 24
  • Title: Effect of XFEM Mesh Density (Mesh Size) on Stress Intensity Factors (K), Strain Gradient (d ε / Dr) and Stress Corrosion Cracking (SCC) Growth Rate
    Authors: Rehmat Bashir, He Xue, Jianlong Zhang, Rui Guo, Nasir Hayat, Ganbo Li, Yueqi Bi
    Year: 2020
    Citations: 15
  • Title: Effect of Material Macrostructural Parameters on Quantitative Stress Corrosion Cracking Plastic Zone Using Extended Finite Element Method in Welded Joints for Light Water Reactor Environment
    Authors: Rehmat Bashir, He Xue, Jianlong Zhang, Rui Guo
    Year: 2020
    Citations: 18
  • Title: Effect of Yield Strength Distribution Welded Joint on Crack Propagation Path and Crack Mechanical Tip Field
    Authors: Bi, Yueqi; Xiaoming Yuan; Jishuang Lv; Rehmat Bashir; Shuai Wang; He Xue
    Year: 2021
    Citations: 12
  • Title: Development of a Temperature-Controlled Resistance Micro-Change Experimental Device
    Authors: He Xue, Qishen Wei, Chenqiang Ni, Pengchao Xu, Rehmat Bashir, Liang Zhang
    Year: 2018
    Citations: 8
  • Title: Development of a Temperature-Controlled Resistance Micro-Change Experimental Device
    Authors: He Xue, Qishen Wei, Chenqiang Ni, Pengchao Xu, Rehmat Bashir, Liang Zhang
    Year: 2019
    Citations: 8
  • Title: Experimental Evaluation of Methanol-Gasoline Fuel Blend on Performance, Emissions and Lubricant Oil Deterioration in SI Engine
    Authors: Muhammad Ali Ijaz Malik, Muhammad Usman, Nasir Hayat, Syed Wasim Hassan Zubair, Rehmat Bashir, Ehtasham Ahmed
    Year: n.d.
    Citations: 10
  • Title: Mechanical Properties Evaluation and Crack Propagation Behavior in Dissimilar Metal Welded Joints of 304 L Austenitic Stainless Steel and SA508 Low-Alloy Steel
    Authors: Sun, Yuman; He Xue; Fuqiang Yang; Shuai Wang; Shun Zhang; Jinxuan He; Rehmat Bashir
    Year: 2022
    Citations: 5
  • Title: Cracking Driving Force at the Tip of SCC under Heterogeneous Material Mechanics Model of Safe-End Dissimilar Metal-Welded Joints in PWR
    Authors: Sun, Yuman; He Xue; Kuan Zhao; Yubiao Zhang; Youjun Zhao; Weiming Yan; Rehmat Bashir
    Year: 2022
    Citations: 3
  • Title: Enviro-Economic Assessment of HHO–CNG Mixture Utilization in Spark Ignition Engine for Performance and Environmental Sustainability
    Authors: Usman, Muhammad; Muhammad Ali Ijaz Malik; Rehmat Bashir; Fahid Riaz; Muhammad Juniad Raza; Khubaib Suleman; Abd Ul Rehman; Waqar Muhammad Ashraf; Jaroslaw Krzywanski
    Year: 2022
    Citations: 6