Teshome Kurse | Autonomous Vehicle | Best Researcher Award

Mr Teshome Kurse | Autonomous Vehicle | Best Researcher Award

Lecturer and Researcher, Adama science and technology university, Ethiopia

Teshome Kumsa Kurse is a dedicated researcher and academic specializing in automotive engineering with a keen focus on automated vehicles, optimization, and transportation systems. A Ph.D. candidate at Adama Science and Technology University, Ethiopia, Teshome employs advanced simulation tools like MATLAB to enhance transportation safety and efficiency. His academic journey is complemented by impactful roles as a Lecturer at Mattu University and his extensive contributions to the integration of autonomous vehicles into urban infrastructure.

PROFILE

Orcid

STRENGTHS FOR THE AWARD

  1. Focus on Innovative Research:
    Teshome Kumsa Kurseโ€™s research is centered on cutting-edge topics in automotive engineering, particularly in the assessment and optimization of automated vehicles (AVs). His work contributes significantly to the fields of transportation safety and efficiency.
  2. Publication Record:
    With several peer-reviewed publications in reputed journals, such as International Journal of Sustainable Engineering and JOURNAL OF ENGINEERING, TECHNOLOGY AND APPLIED SCIENCES, Teshome has demonstrated a strong ability to produce impactful and high-quality research. His studies range from simulation-based analysis to practical engineering applications.
  3. Technical Expertise:
    Teshome utilizes advanced simulation tools like MATLAB, Driving Scenario Designer, Sensor Fusion, and LS-DYNA, showcasing proficiency in applying sophisticated engineering methodologies to solve real-world problems.
  4. Practical Applications:
    His contributions extend to both academic and industrial engineering projects. For instance, the design of solar-powered hydraulic cranes and innovations in reducing harmful emissions from internal combustion engines reflect his practical engineering focus.
  5. Mentorship and Academic Roles:
    As a Lecturer and Senior Lecturer, Teshome has demonstrated a commitment to mentoring students and fostering innovation within his field, enhancing his overall impact on the academic community.

AREAS FOR IMPROVEMENTS

  1. Broader Collaboration:
    While Teshome has collaborated with peers and co-authors, expanding his international network could further enhance the diversity and reach of his research.
  2. Focus on Patents and Commercialization:
    While his work has academic significance, exploring avenues for patenting his innovations or integrating them into commercial applications could strengthen his case for awards recognizing real-world impact.
  3. Increased Industry Partnerships:
    Deepening collaborations with automotive and transportation industries may provide more opportunities to test his research in applied settings, which would boost his credentials for awards with practical impact criteria.

EDUCATION

๐ŸŽ“ Ph.D. Candidate โ€“ Mechanical Engineering, Adama Science and Technology University, Ethiopia (2021 โ€“ Present)
๐ŸŽ“ Masterโ€™s Degree โ€“ Mechanical Engineering, Addis Ababa University, Ethiopia
๐ŸŽ“ Bachelorโ€™s Degree โ€“ Mechanical Engineering, Jimma University, Ethiopia

Teshome’s educational background is rooted in a commitment to advancing knowledge in automotive and mechanical systems, focusing on sustainable solutions for transportation challenges.

EXPERIENCE

๐Ÿ’ผ Research Assistant & Ph.D. Candidate โ€“ Adama Science and Technology University (2021โ€“Present)
๐Ÿ’ผ Lecturer & Senior Lecturer โ€“ Mattu University, Ethiopia (2015โ€“2021)

Teshome’s experience bridges academic instruction and hands-on research, contributing to both industry projects and the academic growth of students under his mentorship.

AWARDS AND HONORS

๐Ÿ† Best Paper Presentation Award โ€“ International Conference on Mechanical Engineering, 2023
๐Ÿ† Outstanding Lecturer Award โ€“ Mattu University, 2020
๐Ÿ† Research Grant Recipient โ€“ Ethiopian Ministry of Science and Technology, 2022

Teshome’s accolades reflect his dedication to academic excellence, innovation, and impactful contributions to automotive engineering.

RESEARCH FOCUS

๐Ÿ” Automated Vehicles โ€“ Simulation and safety optimization at junctions
๐Ÿ” Transportation Systems โ€“ Enhancing urban infrastructure integration
๐Ÿ” Optimization Techniques โ€“ Solutions for complex engineering problems

Teshome’s research emphasizes data-driven methodologies to address modern challenges in transportation safety and efficiency.

PUBLICATION TOP NOTES

๐Ÿ“„ Prospects for Implementation of Autonomous Vehicles and Associated Infrastructure in Developing Countries
๐Ÿ“„ Assessment of the State of the Art in the Performance and Utilisation Level of Automated Vehicles
๐Ÿ“„ Frontal Crash Effect Analysis of ADS Vehicles with Rigid Wall Using LS-DYNA
๐Ÿ“„ A General Review of the Fundamentals of MATLAB Vehicle Passive Suspension System Simulink Model
๐Ÿ“„ Study Diesel-RK Applications in Computation and Analysis of Diesel Engine Characteristics
๐Ÿ“„ Design of Solar-Powered Mini Hydraulic Crane for Mettu Area
๐Ÿ“„ Reduction of Harmful Emissions from IC Engines Using Hybrid Aqua Charcoal

CONCLUSION

Teshome Kumsa Kurse is a strong candidate for the Best Researcher Award due to his dedication to automotive engineering, particularly in automated vehicle systems. His publication record, technical expertise, and innovative approach position him as a leading researcher in his field. While further collaboration and commercialization of his work could enhance his impact, his current achievements already represent significant contributions to advancing transportation safety and efficiency. Teshomeโ€™s qualifications make him an excellent choice for this honor.

Juan Santiago | Microtransport | Best Researcher Award

Prof. Juan Santiago | Microtransport | Best Researcher Award

Professor, Stanford University, United States

Juan Gabriel Santiago is a full professor in the Department of Mechanical Engineering at Stanford University. His research interests span microfluidic systems, electrokinetics, colloid science, and miniature drug delivery systems. He is a recognized innovator in the development of microfluidic devices and electrokinetic technologies. Santiago has founded and contributed to various startups, including Purigen Biosystems, which commercializes electric-field-based sample extraction systems. He has co-authored over 150 publications and holds multiple patents. Santiago is committed to advancing both scientific discovery and education, teaching graduate and undergraduate courses on fluid mechanics, transport phenomena, and experimental methods.

Profile

Education:

  • Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign (1995), with a thesis on transverse jet flow in supersonic crossflows.
  • M.S. in Mechanical Engineering from the University of Illinois at Urbana-Champaign (1992).
  • B.S. in Mechanical Engineering, University of Florida (1990), graduating first in his class with High Honors.

Experience:

Juan Gabriel Santiago has held numerous prestigious positions at Stanford University, including Full Professor since 2010 and Vice-Chair of the Mechanical Engineering Department since 2020. He has a notable history in academic entrepreneurship, having founded Purigen Biosystems and Cooligy, Inc. As a research scientist at the University of Illinois and the Aerospace Corporation, he conducted groundbreaking work in fluid dynamics and microfluidics. His work includes experimental studies in electrokinetics, colloid science, and advanced fluid mechanics.

Awards and Honors:

  • Elected to the National Academy of Inventors (2022)
  • Awarded AES Lifetime Achievement Award (2021)
  • Named Charles Lee Powell Foundation Professor (2020)
  • Elected Fellow of the American Institute for Medical and Biological Engineering (2016)
  • Cozzarelli Prize, National Academy of Sciences (2018)
  • National Science Foundation CAREER Award (2003)
  • Presidential Early Career Award for Scientists and Engineers (2004)

Research Focus:

Santiagoโ€™s research primarily revolves around microfluidic systems, electrokinetics, and colloid science, particularly in the context of biological and chemical assays. His work includes the development of advanced experimental methods and microfabrication techniques, focusing on creating innovative solutions for automated sample preparation and miniature drug delivery systems. He also explores transport phenomena, fluid mechanics, and the application of electrokinetics in microchannels and nanochannels, with a strong emphasis on precision diagnostics.

Publication Top Notes:

  1. A miniature jet pump for slurries (Chemical Engineering Journal, 2025) ๐Ÿ’ง
  2. Design and Evaluation of a Robust CRISPR Kinetic Assay for Hot-Spot Genotyping (Analytical Chemistry, 2024) ๐Ÿงฌ
  3. Analytical solutions for viscoelectric effects in electrokinetic nanochannels (Electrophoresis, 2024) ๐Ÿ”ฌ
  4. A neural network model for rapid prediction of analyte focusing in isotachophoresis (Electrophoresis, 2024) ๐Ÿค–
  5. Taylor dispersion in arbitrarily shaped axisymmetric channels (Journal of Fluid Mechanics, 2023) ๐ŸŒŠ
  6. Stream lamination and rapid mixing in a microfluidic jet for X-ray spectroscopy studies (Flow, 2023) โšก
  7. A critical review of microfluidic systems for CRISPR assays (Lab on a Chip, 2023) ๐Ÿงฌ
  8. Exposed Interfaces and Fast Mixing in XFEL-Friendly Liquid Sheets (Proceedings of SPIE, 2023) ๐Ÿ”ฌ
  9. Capacitive Deionization (World Scientific Series, 2022) ๐Ÿ’ง
  10. Uncertainty Quantification of Michaelisโ€“Menten Kinetic Rates (Angewandte Chemie, 2022) ๐Ÿงช

Fang Yang – Transportation Engineering – Best Researcher Award

Fang Yang - Transportation Engineering - Best Researcher Award

Kunming University of Science and Technology - China

AUTHOR PROFILE

SCOPUS

EXPERT IN ELECTRIC VEHICLE CHARGING SAFETY

Fang Yang is a leading researcher in the field of electric vehicle technology, with a focus on enhancing the safety and efficiency of electric bike charging systems. His work explores innovative methods for detecting charging anomalies and promoting safe charging practices through advanced data analysis and machine learning techniques.

PROLIFIC AUTHOR IN ENGINEERING AND TRANSPORTATION

Fang has contributed significantly to academic literature with several high-impact publications. Notably, his paper on electric bike charging anomaly detection was published in Engineering Applications of Artificial Intelligence, highlighting his expertise in big data applications for transportation systems.

MAJOR PROJECT CONTRIBUTOR

Fang has played a pivotal role in various major projects, including evaluating traffic impacts and organizing traffic during the construction of Guiyang Rail Transit Line S2. His contributions extend to optimizing safety operations for new energy vehicle charging piles and researching big data public services for Kunming mobile signaling.

ADVANCING MACHINE LEARNING IN TRANSPORTATION

His research also includes leveraging machine learning to enhance the safety of electric bicycle charging systems. His work in this area has been featured in iScience, reflecting his commitment to applying cutting-edge technology to real-world transportation challenges.

RESEARCH IN URBAN RAIL TRANSIT DEMANDS

Fang's research extends to the predictability of passenger demands in urban rail transit. His study, published in Transportation, delves into short-term predictions for passenger origins and destinations, showcasing his expertise in optimizing urban transit systems.

FOCUS ON DATA-DRIVEN FORECASTING

His paper on battery swapping demands for electric bicycles, published in the Journal of Transportation Systems Engineering and Information Technology, underscores his proficiency in data-driven forecasting and its applications in improving transportation infrastructure.

DIVERSE RESEARCH EXPERIENCE

With extensive experience across multiple research projects, Fang Yang's work spans from safety analysis of new energy vehicle infrastructure to public service optimization using big data. His diverse expertise reflects a broad commitment to advancing transportation systems through innovative research.

NOTABLE PUBLICATION

Predictability of Short-Term Passengersโ€™ Origin and Destination Demands in Urban Rail Transit.
Authors: F. Yang, C. Shuai, Q. Qian, M. He, J. Lee
Year: 2023
Journal: Transportation, 50(6), pp. 2375โ€“2401

Online Car-Hailing Origin-Destination Forecast Based on a Temporal Graph Convolutional Network.
Authors: C. Shuai, X. Zhang, Y. Wang, F. Yang, G. Xu
Year: 2023
Journal: IEEE Intelligent Transportation Systems Magazine, 15(4), pp. 121โ€“136

Intelligent Diagnosis of Abnormal Charging for Electric Bicycles Based on Improved Dynamic Time Warping.
Authors: C. Shuai, Y. Sun, X. Zhang, X. Ouyang, Z. Chen
Year: 2023
Journal: IEEE Transactions on Industrial Electronics, 70(7), pp. 7280โ€“7289

Promoting Charging Safety of Electric Bicycles via Machine Learning.
Authors: C. Shuai, F. Yang, W. Wang, Z. Chen, X. Ouyang
Year: 2023
Journal: iScience, 26(1), 105786

Battery Swapping Demands Forecast for Electric Bicycles Based on Data-Driven.
Authors: C.-Y. Shuai, F. Yang, X. Ouyang, G. Xu
Year: 2021
Journal: Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 21(2), pp. 173โ€“179