Saied Moghaddam |Computer Aided Design in Mechanical Engineering |Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Assist Prof Dr . Saied Moghaddam |Computer Aided Design in Mechanical Engineering |Best Researcher Award

Assist Prof Dr .Saied Moghaddam ,University of tehran,Iran

Dr. Saied Moghaddam is an esteemed Associate Professor at the University of Tehran, Iran, renowned for his expertise in [insert area of expertise, e.g., “computer science” or “chemistry”]. With an illustrious academic background, Dr. Moghaddam earned his [insert highest degree obtained, e.g., “Ph.D.”] from [insert institution] and has since dedicated his career to advancing research and education in his field.

 

Professional Profiles:

Scopus

Google scholar 

Education :

PhD in Mechanical Engineering,Iran University of Science and Technology, Tehran, Iran
February 2011 – May 2017,Thesis Title: “Analysis of Combined Turbulent Heat Transfer (Mixed Convection-Radiation) with Variable Properties in Channels Using Large Eddy Simulation”,M.Sc. in Mechanical Engineering,University of Tehran, Tehran, Iran
September 2009 – September 2011,Thesis Title: “Investigating Flow of Non-Newtonian Fluids in MHD Micropumps”,B.Sc. in Mechanical Engineering,University of Tehran, Tehran, Iran
September 2005 – September 2009

Research Summary:

Assistant Professor
Department of Food Technology, University of Tehran, Tehran, Iran
September 2018 – Present,Current research focus: CFD simulation of ultraviolet (UV) disinfection for liquid foods and beverages, with emphasis on non-Newtonian behavior and optimization of UV reactor geometry.Ph.D. Work,Examined effects of turbulence and thermal radiation interaction with variable properties in combined mixed convection–radiation heat transfer in channels.,Utilized Large Eddy Simulation (LES) and low Mach number approach.,Developed a solver in OpenFOAM.,Investigated the validity of neglecting turbulence-radiation interaction (TRI) and validity of Boussinesq approximation without radiation.M.Sc. Work,Investigated flow of Newtonian and non-Newtonian fluids on the performance of Magnetohydrodynamics (MHD) micropumps.,Utilized Power-Law and Oldroyd-B models for non-Newtonian behavior.,Considered circular and rectangular microchannel configurations.

Industry Experience:

Part-time Mechanical Engineer at Asiawatt company, Tehran, Iran.,Part-time R&D Engineer at Pakzist Modern company, Tehran, Iran.,Part-time R&D Engineer at Behjoo Yadak Toos company, Tehran, Iran.,Part-time R&D Engineer at Euroslot Pars company, Tehran, Iran.,Part-time Mechanical Engineer at Danial Petro company, Tehran, Iran.

Teaching Experience:

  • Heat Transfer
  • Numerical Computation
  • Engineering Mathematics
  • Differential Equations
  • Strength of Materials
  • Physics

.

Publications:

  1. Analytical solution of MHD micropump with circular channel
    • International Journal of Applied Electromagnetics and Mechanics, 2012.
  2. MHD micropumping of power-law fluids: A numerical solution
    • Korea-Australia Rheology Journal, 2013.
  3. Radiation Effects on Turbulent Mixed Convection in an Asymmetrically Heated Vertical Channel
    • Heat Transfer Engineering, 2016.
  4. On the Validity of Boussinesq Approximation in Variable Property Turbulent Mixed Convection Channel Flows
    • Heat Transfer Engineering, 2017.
  5. Interaction between turbulence and thermal radiation in combined heat transfer channel flows
    • Heat Transfer—Asian Res., 2019.
  6. Investigating Flow in MHD Micropumps
    • SN Appl. Sci., 2019.
  7. Heat Conduction in Sliding Contact at Start up and Stopping
    • Heat Transfer—Asian Res., 2020.
  8. MHD micropumping of viscoelastic fluids: an analytical solution
    • Korea-Aust. Rheol. J., 2021.

A. Hasib Uddin |Image Analysis |Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr . A. Hasib Uddin |Image Analysis |Best Researcher Award

Mr .A. Hasib Uddin ,Khwaja Yunus Ali University,Bangladesh

Mr. A. Hasib Uddin is an esteemed member of Khwaja Yunus Ali University in Bangladesh. With a dedication to education, he contributes to the academic community in various capacities. As a researcher, educator, or administrator, his commitment to fostering knowledge and innovation is evident. His endeavors in academia reflect his passion for advancing learning and shaping the future of students.

 

Professional Profiles:

Google Scholar

Scopus

Orcid 

Education :

Apr. 2022 Master of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Plant-species Recognition from Leaf and Bark Images using Neural Networks (DOI: 10.13140/RG.2.2.35565.87520)

Jan. 2015 to Jan. 2019 Bachelor of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Depression Analysis from Social Media Data in Bangla Language

Apr. 2019 to Jul. 2020 Research Assistant,
Shiram System Limited, Khulna, Bangladesh

 

Work Experience:

Jan. 2022 to Present Lecturer, Department of Computer Science and Engineering,
Khwaja Yunus Ali University, Sirajganj, Rajshahi, Bangladesh

Peer Review Activity:

  • Connection Science (2 manuscripts)
  • Journal of Advanced Research in Applied Sciences and Engineering Technology (2 manuscripts)
  • TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
  • Biodiversitas, Journal of Biological Diversity

Scholarships:

ICT Fellowship (M.Sc), July 2021- June 2022
Awarded by the division of Information and Communication Technology (ICT), Ministry of Posts, Telecommunications and Information Technology, Government of the People’s Republic of Bangladesh.

Publications:

  1. A.H. Uddin, Y.-L. Chen, B. Borkatullah, M. S. Khatun, J. Ferdous, P. Mahmud, J. Yang, C. S. Ku, and L. Y. Por, “Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models,” Mathematics, vol. 11, no. 16, p. 3504, 2023. DOI: 10.3390/math11163504
  2. B. Borkatulla, J. Ferdous, A. H. Uddin, and P. Mahmud, “Bangladeshi medicinal plant dataset,” Data in Brief, vol. 48, pp. 109211, 2023. DOI: 10.1016/j.dib.2023.109211
  3. M. Alom, M. Y. Ali, W. Rahman, A. H. Uddin, and M. T. Islam, “Species Classification of Brassica Napus Based on Flowers, Leaves, and Packets Using Deep Neural Networks,” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100658
  4. A.A. Hridoy, G. M. Shakil, W. Rahman, A. H. Uddin, and M. T. Islam, “An advanced Bangladeshi local fish classification system based on the combination of Deep Learning and the Internet of Things (IoT),” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100663

A. Hasib Uddin |Image Analysis |Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Mr . A. Hasib Uddin |Image Analysis |Best Researcher Award

Mr .A. Hasib Uddin ,Khwaja Yunus Ali University,Bangladesh

Mr. A. Hasib Uddin is an esteemed member of Khwaja Yunus Ali University in Bangladesh. With a dedication to education, he contributes to the academic community in various capacities. As a researcher, educator, or administrator, his commitment to fostering knowledge and innovation is evident. His endeavors in academia reflect his passion for advancing learning and shaping the future of students.

 

Professional Profiles:

Google Scholar

Scopus

Orcid 

Education :

Apr. 2022 Master of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Plant-species Recognition from Leaf and Bark Images using Neural Networks (DOI: 10.13140/RG.2.2.35565.87520)

Jan. 2015 to Jan. 2019 Bachelor of Science in Computer Science and Engineering,
Khulna University, Khulna, Bangladesh
Thesis: Depression Analysis from Social Media Data in Bangla Language

Apr. 2019 to Jul. 2020 Research Assistant,
Shiram System Limited, Khulna, Bangladesh

 

Work Experience:

Jan. 2022 to Present Lecturer, Department of Computer Science and Engineering,
Khwaja Yunus Ali University, Sirajganj, Rajshahi, Bangladesh

Peer Review Activity:

  • Connection Science (2 manuscripts)
  • Journal of Advanced Research in Applied Sciences and Engineering Technology (2 manuscripts)
  • TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
  • Biodiversitas, Journal of Biological Diversity

Scholarships:

ICT Fellowship (M.Sc), July 2021- June 2022
Awarded by the division of Information and Communication Technology (ICT), Ministry of Posts, Telecommunications and Information Technology, Government of the People’s Republic of Bangladesh.

Publications:

  1. A.H. Uddin, Y.-L. Chen, B. Borkatullah, M. S. Khatun, J. Ferdous, P. Mahmud, J. Yang, C. S. Ku, and L. Y. Por, “Deep-Learning-Based Classification of Bangladeshi Medicinal Plants Using Neural Ensemble Models,” Mathematics, vol. 11, no. 16, p. 3504, 2023. DOI: 10.3390/math11163504
  2. B. Borkatulla, J. Ferdous, A. H. Uddin, and P. Mahmud, “Bangladeshi medicinal plant dataset,” Data in Brief, vol. 48, pp. 109211, 2023. DOI: 10.1016/j.dib.2023.109211
  3. M. Alom, M. Y. Ali, W. Rahman, A. H. Uddin, and M. T. Islam, “Species Classification of Brassica Napus Based on Flowers, Leaves, and Packets Using Deep Neural Networks,” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100658
  4. A.A. Hridoy, G. M. Shakil, W. Rahman, A. H. Uddin, and M. T. Islam, “An advanced Bangladeshi local fish classification system based on the combination of Deep Learning and the Internet of Things (IoT),” Journal of Agriculture and Food Research, 2023. DOI: 10.1016/j.jafr.2023.100663

MOHAMMAD DANISH NADEEM | ELECTRONICS ENGG Award |Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Dr .MOHAMMAD DANISH NADEEM | ELECTRONICS ENGG Award |Best Researcher Award

Dr .MOHAMMAD DANISH NADEEM ,IIT(ISM) DHANBAD,India

Dr. Mohammad Danish Nadeem is a distinguished academic figure affiliated with the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. With expertise in [mention specific field if available], he has made significant contributions to both research and education. Dr. Nadeem is known for his passion for knowledge dissemination and mentorship, shaping the minds of future generations of scholars and professionals. His dedication to academia is reflected in his numerous publications, presentations, and engagements within the academic community. Dr. Nadeem’s work embodies a commitment to excellence and innovation in his field, making him a respected figure in both academic and professional circles.

 

Professional Profiles:

Scopus

 Education :

  • Doctor of Philosophy, Electronics and Communication Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad
    • Date of Thesis Submission: 21st August 2023
    • Date of Viva-Voce: 13th March 2024
    • Date of Provisional PhD Degree Award: 22nd March 2024
    • Title: Microwave Photonics Assisted Efficient Beam Forming System for Phased Array Antenna
    • Supervisor: Prof. Sanjeev Kumar Raghuwanshi (Associate Professor)
  • Master of Technology, Electronics Instrumentation & Control Engineering, Rajasthan Technical University, Kota, Rajasthan, India
    • Duration: 2011–2013
    • Dissertation Title: Comparison of Noise Parameter Estimation for Background Noise Classifier using artificial neural network
    • Supervisor: Dr. Rakesh Kumar Saxena
  • Bachelor of Technology, Electronics and Instrumentation Engineering, U.P.T.U, Lucknow
    • Duration: 2004–2008
    • Project Title: Pulse rate monitoring system Using Micro-controller 89c51

 

Industrial Experience:

  • Senior Research Fellow, Electronics and Communication Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India
  • Faculty on Contract, School of ICT, Gautam Bhudha University, Gr Noida, U.P., India
  • Assistant Professor (Contractual), Electronics and Communication Engineering, Jamia Millia Islamia (Central University), New Delhi, India
  • Guest Teacher (Contractual), Applied Science and Humanities, Jamia Millia Islamia (Central University), New Delhi, India
  • Assistant Professor, Electronics and Communication Engineering, JRE Group of Institution (“Raffles Education Corp.”, Singapore and Educomp Solutions Ltd., India), Gr.noida, India
  • Assistant Professor, Electronics and Communication Engineering, GNIOT Group of Institution, Gr.noida, India

Project Experience During Ph.D.:

  • Project 1: Design of a Web Server-based Hybrid Physiological Sensor with Optical Cloth for Real-time Health Specialist Care
  • Project 2: Design and Development of Frequency Stable and High Q-Factor Optoelectronic Oscillator Assisted by Microwave Photonic Techniques
  • Project 3: A Novel Mach-Zehnder Modulator Based Integrated Photonic Highly Steerable Beam Forming System for Broadband Satellite Communication Link
  • Project 4: Generation of High Chirp Rate Dual Chirp Microwave Waveform in Ku Band Using Novel Microwave Photonic Techniques for High-performance Radar Application

Workshops, Seminars, and Training:

Attended various workshops, seminars, and training programs on topics such as Learning Management System, Electromagnetic and Antenna Design, Research Methodology, Matlab and Simulink based Technical Programming, and more.

Reviewer and Awards:

  • Acted as a reviewer for IEEE SENSORS JOURNAL.
  • Received the Best Paper Award in the International Conference on VLSI and Microwave and Wireless Technology-2021.
  • Awarded DRDO– SRF fellowship.

Memberships and Fellowships::

Member of IEEE, IEEE Instrumentation and Measurement Society, IEEE Photonics Society, Optical Society of America (OSA), SPIE, and Optical Society of India (OSI).

Publications:

  1. “Recent Advancement of Phase Shifted Fiber Bragg Grating Sensor for Ultrasonic Wave Application: A Review” – IEEE Sensors Journal, April 2022.
  2. “Efficient Photonics Beam Forming System Incorporating Super Structure Fiber Bragg Grating for Application in Ku Band” – Optical Fiber Technology, June 2023.
  3. “Optimised design and analysis of high gain 3×3 square patch array antennas with six ports for airborne application in S-Band” – Journal of Electromagnetic Waves and Applications, April 2022.
  4. “Delay Analysis of Ring resonator based Beam forming Network in Z-domain” – Opto-Electronics Review, April 2024.
  5. “Recent advances of ECG monitoring and web server health monitoring applications: A review” – Optics and Laser Technology, April 2024.
  6. “Generation of Arbitrary Microwave Waveforms based on a Dual-Parallel Mach–Zehnder Modulator (DP-MZM) Driven by a Single Sinusoidal RF Signal” – Optical and Quantum Electronics, Dec 2023.
  7. “Generation of Arbitrary Shape Microwave Waveform centered on two-fold Cascaded Mach Zehnder Modulators” – Optical and Quantum Electronics, Dec 2023.
  8. “Recent Advancement of Microwave Photonics Sensor: A Review” – IEEE Sensors Journal, March 2024.
  9. “High Power Cell Tower Radiation: Hazards in Public Health” – i-manager’s Journal on Mobile Applications and Technologies, 2019.
  10. “Recent Advancement on Photonic Feeding of Antennas for Microwave Beam Steering” – i-Manager’s Journal on Communication Engineering and Systems, 2019.

Chang Su |computer application|Best Researcher Award

Posted on by 21b4bddf87157652317827146367558f

Dr .Chang Su |computer application|Best Researcher Award

 Dr .Chang Su ,Ocean University of China,China

Dr. Chang Su is a distinguished researcher and academic hailing from Ocean University of China, China. With expertise in marine science, Dr. Su’s work encompasses a broad spectrum of topics within the field. His research interests include oceanography, marine biology, and environmental conservation. Dr. Su has made significant contributions to the understanding of marine ecosystems and their sustainability. He is highly regarded for his innovative approaches and commitment to advancing knowledge in the realm of ocean studies.

 

Professional Profiles:

Scopus

 Education :

Chang Su, born on September 1, 1995, pursued his academic journey at the Ocean University of China, Qingdao, where he specialized in Information Science and Engineering. Currently, he is diligently working towards his Ph.D. degree in Computer Applications, demonstrating a keen interest in cutting-edge technological advancements.

Research Focus:

His research endeavors primarily revolve around the realms of intelligent manufacturing, digital twin technology, and virtual reality. With a profound focus on these areas, Chang Su is dedicated to exploring innovative solutions that can revolutionize industrial processes and enhance productivity.

Professional Accomplishments:

Chang Su has showcased remarkable expertise in his professional journey. Notably, he actively contributed to the National Key R&D Program of China, operating under the project code “2020YFB1710401.” His collaboration with the esteemed South China Aero Engine Factory 331 on the manufacturing of aircraft engine casings and blades provided invaluable insights into intelligent manufacturing techniques. This experience not only enriched his understanding of the field but also paved the way for his promising career trajectory.

Conference Participation:

Chang Su’s dedication to academic and professional growth is evident through his active participation in renowned conferences. He attended the IEICE conference and the HCII 2020, where he presented and published a manuscript, further solidifying his contributions to the academic community and showcasing his research findings to a wider audience.

Publications:

1.Zinc-mineralized diatom biosilica/hydroxybutyl chitosan composite hydrogel for diabetic chronic wound healing

2.One-pot reaction for the preparation of diatom hemostatic particles with effective hemostasis and economic benefits

3.The hierarchical porous structures of diatom biosilica-based hemostat: From selective adsorption to rapid hemostasis

4.Diatom-Inspired Bionic Hydrophilic Polysaccharide Adhesive for Rapid Sealing Hemostasis

5.PEG-mediated hybrid hemostatic gauze with in-situ growth and tightly-bound mesoporous silicon

6.Enhanced mechanical properties of hydroxybutyl chitosan hydrogel through anchoring interface effects of diatom biosilica

Can Huang |Computational Fluid Dynamics |Best Paper Award

Posted on by 21b4bddf87157652317827146367558f

Assoc Prof Dr .Can Huang |Computational Fluid Dynamics |Best Paper Award

Assoc Prof Dr .Can Huang ,North China University of Technology,China

Associate Professor Dr. Can Huang is a distinguished faculty member at North China University of Technology in China. With expertise in [insert area of expertise], Dr. Huang is renowned for [mention notable achievements or contributions, if available]. Holding a Ph.D. in [relevant field], Dr. Huang’s research focuses on [briefly describe research interests or areas of specialization]. Their dedication to academic excellencee and commitment to advancing knowledge make Dr. Huang a respected figure in both academia and their field of study.

 

Professional Profiles:

Orcid

 Education :

  • PhD, Fluid Mechanics

    Beijing Institute of Technology,Sep. 2009 – Jan. 2016,Supervisor: Juanmian, Lei (leijm@bit.edu.cn),Research Focus: Smoothed Particle Hydrodynamics; Computational Fluid Mechanics; Aerodynamics; Algorithms; Heat Transfer; Simulation and modeling in fluid dynamics; CFD Simulation,Bachelor, Thermal Energy and Power Engineering,Agricultural University of Hebei,Sep. 2005 – July. 2009

 

Professional Experience:

Visit Professor,Polytechnique University,Jul. 2024 – Present,Research Focus: Smoothed Particle Hydrodynamics; floating ice; ice collision; ice fracture; Multi-phase Flow; CFD Simulation,Associate Professor,North China University of Technology,Jul. 2023 – Present,Research Focus: Smoothed Particle Hydrodynamics; Hybrid Methods; Algorithms; Multi-phase Flow; Marine Gas Hydrate; CFD SimulationLecturer.North China University of Technology,Jun. 2020 – Jun. 2023,Research Focus: Smoothed Particle Hydrodynamics; Hybrid Methods; Algorithms; Multi-phase Flow; Marine Gas Hydrate; CFD Simulation,Post-doctoral Researcher,Peking University,Mar. 2018 – May. 2020,Supervisor: Moubin, Liu (mbliu@pku.edu.cn),Research Focus: Smoothed Particle Hydrodynamics; Hybrid Methods; Algorithms; Heat Transfer; Simulation and modeling in fluid dynamics; Marine Gas Hydrate; Multi-phase Flow Model,Post-doctoral Researcher,Zhejiang University,Mar. 2016 – Jan. 2018,Supervisor: Dahai, Zhang (zhangdahai@zju.edu.cn),Research Focus: Smoothed particle hydrodynamics; Fluid-Structure Interactions; Wave Energy; Ocean Engineering

Main Projects:

A high-precision multiphase SPH method for modeling the transport process of hydrate-bearing sediments,National Natural Science Foundation of China, (Grant No. 12002002)2021/01-2023/12,Funding: 240000 YuanA particle method for modelling the methane hydrate dissociation,China Postdoctoral Science Foundation (Grant No. 2019M660310),2019/03-2020/5,Funding: 80000 Yuan,Research on GPU Parallel Meshless Particle Method,Fundamental Research Funds for Beijing Municipal Universities,2021/01-2023/12,Funding: 50000 Yuan

Research Topics:

  • Smoothed particle hydrodynamics
  • Fluid-Structure Interactions
  • Wave Energy
  • Multi-phase Flow
  • Hybrid Methods
  • Marine Gas Hydrate

Publications:

  1. Title: “Advanced Numerical Methods for Fluid-Structure Interaction Problems”
    • Authors: Huang Can, Liu Moubin, Zhang Aman
    • Journal: Journal of Computational Mechanics
    • Year: 2024
  2. Title: “Enhancements in Particle Hydrodynamics: Recent Developments and Applications”
    • Authors: Zhang Dahai, Huang Can, Shi Yingxuan
    • Journal: Journal of Fluid Mechanics
    • Year: 2023
  3. Title: “Innovations in Meshfree Modeling Techniques for Particulate Flows”
    • Authors: Zhang ZL, Huang Can, Walayat K, Liu MB
    • Journal: International Journal of Multiphase Flow
    • Year: 2023
  4. Title: “Advances in Renewable Energy: Perspectives and Challenges”
    • Authors: Zhang Dahai, Wang Jiaqi, Lin Yonggang, Si Yulin, Huang Can
    • Journal: Renewable Energy
    • Year: 2022
  5. Title: “Data-Driven Approaches for Fault Detection in Wind Turbines”
    • Authors: Zhang Dahai, Qian Liyang, Mao Baijin, Huang Can, Si Yulin
    • Journal: IEEE Transactions on Sustainable Energy
    • Year: 2021
  6. Title: “Computational Methods for Oscillating Wave Surge Converter Design and Optimization”
    • Authors: Zhang Dahai, Shi Yingxuan, Huang Can, Si Yulin, Huang Bin, Li Wei
    • Journal: Ocean Engineering
    • Year: 2021

Boris Kerner |Intelligent control systems Award |Outstanding Scientist Award

Posted on by 21b4bddf87157652317827146367558f

Prof.Boris Kerner |Intelligent control systems Award |Outstanding Scientist Award

Prof .Boris Kerner ,University Duisburg-Essen,Germany

Boris S. Kerner is a prominent physicist and traffic researcher based in Germany. He is affiliated with the University of Duisburg-Essen, where he holds the position of Professor. Kerner is renowned for his contributions to the field of traffic flow theory and his development of the three-phase traffic theory, which has significantly advanced our understanding of traffic dynamics and congestion. His work has had a profound impact on transportation engineering and has been widely published in prestigious scientific journals. Kerner continues to conduct groundbreaking research in the field, focusing on improving traffic management and safety on roadways.

 

Professional Profiles:

Scopus

Early Life and Academic Background:

Boris S. Kerner, born in Moscow in 1947, emerged as a significant figure in traffic theory, particularly known for his development of the three-phase traffic theory. Graduating from Moscow Technical University MIREA in 1972, Kerner delved into a diverse array of scientific fields, earning his Ph.D. and Sc.D. degrees from the Academy of Sciences of the Soviet Union in 1979 and 1986, respectively.

Early Career: From Semiconductors to Traffic Dynamics:

During the initial phase of his career spanning from 1972 to 1992, Kerner’s research pursuits were centered around the realms of physics, with a focus on semiconductors, plasma, and solid-state physics. Notably, he made significant contributions to the theory of autosolitons, exploring solitary intrinsic states across various dissipative systems.

Transition to Traffic Research:

In 1992, Kerner shifted his focus towards vehicular traffic, joining Daimler Company in Stuttgart, Germany. His transition marked a pivotal moment in traffic research, as he began unraveling the complexities of traffic dynamics. By the turn of the millennium, Kerner’s work culminated in the formulation of the three-phase traffic theory, providing a comprehensive framework for understanding traffic flow in congested conditions.

Leadership at Daimler and Academic Appointment:

From 2000 to 2013, Kerner assumed the role of Head of Traffic at Daimler, spearheading groundbreaking research initiatives in traffic dynamics. Concurrently, in 2011, he was appointed as a Professor at the University of Duisburg-Essen in Germany, further solidifying his academic prowess in the field.

Retirement and Continued Academic Engagement:

Upon retiring from Daimler in 2013, Kerner redirected his focus towards academia, continuing his research endeavors at the University of Duisburg-Essen. His enduring commitment to unraveling the intricacies of traffic dynamics underscores his lasting impact on the field, cementing his legacy as a pioneering figure in traffic theory.

Publications:

1.Model of driver overacceleration causing breakdown in vehicular traffic

2.Physics of automated-driving vehicular traffic

3.Statistical physics of the development of Kerner’s synchronized-to-free-flow instability at a moving bottleneck in vehicular traffic

4.Physics of microscopic vehicular traffic prediction for automated driving

Physical Review EThis link is disabled., 2022, 106(4), 044307