Ruslan Asfandiyarov | Engineering | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Ruslan Asfandiyarov | Engineering | Best Researcher Award

Researcher, Independent, Switzerland

Ruslan Asfandiyarov is a seasoned professional with a 19-year career that spans theoretical physics, data science, and AI. He has made significant strides in digital transformation across various sectors, including medical devices and renewable energy. Ruslan’s expertise blends fundamental science, engineering, and advanced data analysis, leading to patents in microelectronics and sensor design. His leadership, combined with extensive multi-cultural experience, has positioned him as a visionary in navigating complex interdisciplinary landscapes. 🌟🔬

Profile

 

Strengths for the Award

  1. Innovative Contributions: Ruslan Asfandiyarov has a strong record of pioneering advancements in data science, AI, and digital transformation. His work in medical devices, renewable energy, and next-gen technology solutions aligns well with the award’s focus on community impact.
  2. Global Experience and Leadership: His leadership roles across multiple sectors and international experience demonstrate his capability to drive impactful research and development. This global perspective is beneficial for understanding and addressing diverse community needs.
  3. Significant Achievements:
    • MedTech Innovations: Co-founding Spiden and developing new diagnostic medical devices shows a direct impact on healthcare.
    • Renewable Energy: His work in geothermal and solar power projects contributes to sustainable development and environmental protection.
    • AI and Digital Transformation: His involvement in digital transformation and AI research, including applications in labor market analysis, showcases his commitment to leveraging technology for societal benefits.
  4. Academic and Industry Accomplishments:
    • Contribution to Nobel Prize-winning research and substantial patents in various fields underscore his research excellence.
    • His high citation impact and recognition in Swiss media highlight his influence in the scientific and entrepreneurial communities.
  5. Strategic Vision and Execution: His ability to secure funding, scale startups, and build cross-functional teams reflects his strategic planning and execution skills.

Areas for Improvement

  1. Direct Community Engagement: While his innovations have broad impacts, the profile could benefit from more explicit examples of how his work has directly engaged and benefited specific communities or underserved populations.
  2. Documentation of Community Impact: Providing more detailed case studies or data on how his projects have improved community health, economic conditions, or environmental sustainability would strengthen his application.
  3. Integration of Community Feedback: Demonstrating how community feedback has shaped his projects or led to adaptations that better serve community needs would be valuable.

Education

Ruslan earned his PhD in Physics from the University of Geneva and Rutherford Laboratory, Oxford, UK (2010–2014). He also holds a degree in Engineering & Physics from National Research Nuclear University, Moscow, Russia (2001–2007), where he specialized in experiments in natural sciences and engineering. 🎓📚

Experience

Ruslan has held influential roles including Adviser on Digital Transformation and AI at the Ministry of Labor in Qatar, AI Researcher, and Founder & CEO of Deepeex. He has also founded and co-founded several ventures, including startups and consulting firms, raising over CHF 20 million and creating numerous high-paid jobs. His career highlights include contributing to a Nobel Prize-winning discovery and managing significant projects in space science and medical technology. 🚀💼

Research Interests

Ruslan’s research interests encompass AI and data science, particularly in the intersection of Large Language Models (LLMs) with scientific discovery and creativity. He explores how AI can augment scientific inference and has a strong focus on Natural Language Processing (NLP), machine learning, and high-performance computing. 🤖🔍

Awards

Ruslan’s accolades include being featured by Bilan magazine as a top entrepreneur in Swiss Romand and his startup, Spiden, being named the No.1 MedTech venture in 2021 by Top 100 Swiss Startups. His h-index of 103 underscores his impactful contributions to the field. 🏆🌍

Publications

  1. The ATLAS Simulation Infrastructure
    ATLAS Collaboration. The European Physical Journal C, 2010.Link
  2. Improved Luminosity Determination in pp Collisions Using the ATLAS Detector at the LHC
    ATLAS Collaboration. The European Physical Journal C, 2013.Link
  3. Performance of Missing Transverse Momentum Reconstruction in Proton-Proton Collisions at √s = 7 TeV with ATLAS
    ATLAS Collaboration. The European Physical Journal C, 2012.Link
  4. Measurement of the Inclusive Isolated Prompt Photon Cross Section in pp Collisions at √s = 7 TeV with the ATLAS Detector
    ATLAS Collaboration. arXiv preprint arXiv:1012.4389, 2010.Link
  5. Observation of a Centrality-Dependent Dijet Asymmetry in Lead-Lead Collisions at √sNN = 2.76 TeV with the ATLAS Detector at the LHC

 

Hui Peng | Engineering | Best Researcher Award

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Dr. Hui Peng | Engineering | Best Researcher Award

Professor, Central South University, China

👨‍🏫 Hui Peng is a distinguished Professor in the School of Automation at Central South University, Changsha, China. With a prolific career spanning over two decades, he has authored more than 70 papers in international journals and co-invented a patent in Japan. His expertise lies in various aspects of control engineering and statistical science, making significant contributions to industrial process control projects globally.

Profile

ORCID

 

Education

🎓 Hui Peng earned his B.Eng. and M.Eng. degrees in Control Engineering from Central South University, Changsha, China, in 1983 and 1986, respectively. He obtained his Ph.D. in Statistical Science from the Graduate University for Advanced Studies, Hayama, Japan, in 2003.

Experience

💼 Hui Peng has been a Professor at the School of Automation, Central South University, since 1998. He served as a Visiting Professor at the Institute of Statistical Mathematics, Tokyo, Japan, from 2000 to 2004 and again from 2009 to 2010. Since 2010, he has also been a Foreign Cooperative Professor at the Graduate University for Advanced Studies, Japan. His work includes successfully completing over ten industrial process control projects involving diverse systems like marine ships, thermal power plants, and quadrotor helicopters.

Research Interests

🔬 Hui Peng’s research interests are extensive and include nonlinear system modeling, statistical modeling, system identification, nonlinear optimization, signal processing, predictive control, robust control, process control, financial process modeling, and portfolio optimization.

Awards

🏆 Hui Peng has not only authored numerous papers but also co-invented a patent in Japan, reflecting his significant contributions to control engineering and statistical science.

Publications

Market price, excess demand and liquidity dynamics modeling and application to investment decision optimization

Research on Time Varying Variance Financial Time Series Modeling and Portfolio Optimization Methods

State-dependent ARX model-based nonlinear system modeling and robust predictive control

 

Xinke Liu | Engineering | Best Researcher Award

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Assoc Prof Dr. Xinke Liu | Engineering | Best Researcher Award

Assoc. Prof. Shenzhen University, China

👨‍🏫 Liu, Ph.D. is an accomplished Associate Professor at Shenzhen University, specializing in wide bandgap semiconductor materials and electronic devices. With a prolific publication record of over 110 papers as a first or corresponding author, he has garnered more than 3040 citations and an impressive h-index of 31. His research focuses on the development of advanced GaN power electronics using CMOS-compatible materials and processes, aiming to revolutionize wide-bandgap power devices for future computing, 5G/6G communication, and electric cars.

Profile

Google Scholar

Education

🎓 Liu completed his Sc. long in Material Science from the National University of Singapore in 2004. He also holds a Graduate Certificate in Management of Technology from the National University of Singapore, obtained between 2011-2012.

Experience

🔬 Liu has a rich professional background, including hosting roles and research fellowships. He worked with Professor Ali Javey at the University of California, Berkeley, focusing on electronic devices related to novel 2D materials. He also collaborated with Professor Kah-Wee Ang at the National University of Singapore, and served as a professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, where he researched GaN-based and GaN/2D heterojunction power devices.

Research Interests

🧠 Liu’s research interests include the development of advanced GaN power electronics using CMOS-compatible materials and processes. He explores advanced electronic devices such as Schottky Barrier Diodes (SBDs), PN Diodes (PNDs), High Voltage High Electron Mobility Transistors (HV-HEMTs), and Radio Frequency High Electron Mobility Transistors (RF-HEMTs). His work aims to produce electronic and optoelectronic chips that will drive innovation in wide-bandgap power devices for computing, communication, and automotive industries.

Awards

🏅 Liu has received numerous awards, including the Shenzhen Youth Science and Technology Award (2023), IEEE Senior Member (2021), Guangdong Provincial Science and Technology Progress Award (2022), and the Excellent Teaching Award of Shenzhen University (2020). He is recognized as one of Stanford University’s World’s Top 2% Scientists (2019, 2020, 2022) and has earned the Shenzhen Peacock Plan B Award (2014), among other honors.

Publications

Artificial synapses based on multiterminal memtransistors for neuromorphic application

Few-layer black phosphorus carbide field-effect transistor via carbon doping

Impact and Origin of Interface States in MOS Capacitor with Monolayer MoS2 and HfO2 High-k Dielectric

Down to ppb level NO2 detection by ZnO/rGO heterojunction based chemiresistive sensors

2D III-Nitride Materials: Properties, Growth, and Applications

 

Xingjie Xu | Engineering | Best Researcher Award

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Mr. Xingjie Xu | Engineering | Best Researcher Award

Student/Member, Zhejiang University, China

🎓 Xingjie Xu is an accomplished graduate student from Zhejiang University, where he has been honored with titles such as “Outstanding Graduate Student” and “Outstanding Graduate.” With a master’s degree from Zhejiang University, Xingjie focuses his research on Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He has made significant contributions to his field, including publishing articles in esteemed journals and actively participating in innovative research projects.

Profile

ORCID

 

Education

📚 Xingjie Xu earned his master’s degree from Zhejiang University. His academic journey is marked by his achievements as an “Outstanding Graduate Student” and “Outstanding Graduate” at Zhejiang University, where he has excelled in his research and academic pursuits.

Experience

🔬 Xingjie Xu’s experience encompasses notable research in the field of in-memory computing. He has designed low-power and small-area SAR ADCs for in-memory computing and developed current-controlled oscillator-type readout circuits. His hands-on experience in these projects highlights his expertise and dedication to advancing technology in his area of focus.

Research Interests

🧠 Xingjie Xu’s research interests lie in Readout Circuit Design for RRAM Array-based Computing in Memory Architecture. He is particularly focused on developing efficient, low-power, and small-area designs for in-memory computing applications, contributing to the advancement of modern computing architectures.

Awards

🏅 Xingjie Xu has received several prestigious awards, including the title of “Outstanding Graduate Student of Zhejiang University” and “Outstanding Graduate of Zhejiang University.” These accolades recognize his exceptional academic performance and contributions to research.

Publications

A 0.0025mm² 8-bit 70MS/s SAR ADC with a Linearity-Improved Bootstrapped Switch for Computation in Memory

Readout Circuit Design for RRAM Array-Based Computing in Memory Architecture

 

Quan Yuan | Engineering | Best Researcher Award

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Prof. Quan Yuan | Engineering | Best Researcher Award

Professor, School of Vehicle and Mobility, Tsinghua University, China

Dr. Quan Yuan is a distinguished professor at the School of Vehicle and Mobility, Tsinghua University. With a Ph.D. in vehicle engineering earned in 1997, Dr. Yuan has made significant contributions to the fields of intelligent vehicles, human factors engineering, traffic safety, and accident analysis. Over his illustrious career, he has led more than 40 research projects, published over 100 papers, and analyzed over 8,000 traffic crashes in Beijing. His research has provided valuable insights and innovations to improve the safety and functionality of intelligent transportation systems.

Profile

ORCID

🎓 Education:

Dr. Quan Yuan received his Ph.D. in Vehicle Engineering in 1997. He further honed his expertise as a postdoctoral research fellow at Tsinghua University from 2000 to 2003. Additionally, he broadened his academic horizon as a visiting scholar at the University of Washington from 2013 to 2014.

💼 Experience:

Dr. Yuan’s professional journey is marked by his role as a professor at Tsinghua University, where he has been instrumental in advancing research in intelligent vehicles and traffic safety. He has completed over 40 research projects and published more than 100 papers. His editorial appointments include roles such as the editorial director for the Journal of Intelligent & Connected Vehicles and associate editor for Digital Transportation and Information.

🔬 Research Interests:

Dr. Yuan’s research interests are centered on intelligent vehicles, traffic safety, and human factors engineering. His work focuses on combining intelligent vehicle technology with traffic safety to develop testing scenarios that enhance vehicle safety. He has also proposed innovative solutions such as a visual and infrared fusion perception recognition method to improve safety in adverse weather conditions and address traffic safety issues in pastoral areas.

🏆 Awards:

Dr. Quan Yuan has received numerous accolades for his contributions to the field of vehicle engineering and traffic safety. He is a recognized senior member of SAE-China and an esteemed member of IEEE. His work has significantly influenced the development and safety of intelligent transportation systems.

Publications 

Paper on Intelligent Vehicle Technology
Study on Traffic Safety and Accident Analysis
Research on Human Factors Engineering in Vehicle Design
Innovations in Traffic Crash Analysis
Book on Vehicle Engineering and Safety