Robert White | particle physics | Best Researcher Award

Dr. Robert White | particle physics | Best Researcher Award

PHD at Charles University in Prague

Rob White is a Postdoctoral Researcher at INFN Sezione di Torino, specializing in the development and characterisation of LGAD sensors. He completed his Ph.D. in Particle Physics at the University of Bristol, focusing on Dark Matter and BSM Physics, and worked on statistical and ML techniques in DQM. Previously, he was a Postdoctoral Researcher at Bristol and earned his M.Phys. in Physics from the University of Manchester. His research includes characterizing FBK EXFLU1 sensors and addressing radiation effects. White has contributed to notable publications on dark matter and Higgs boson decays, reflecting his expertise in advanced particle physics.

Professional Profiles

Publications

Search for dark QCD with emerging jets in proton-proton collisions at \( \sqrt{s} \) = 13 TeV, Publication date:  2024.

Measurement of the production cross section of a Higgs boson with large transverse momentum in its decays to a pair of τ leptons in proton-proton collisions, Publication date:  2024.

Multiplicity and transverse momentum dependence of charge-balance functions in pPb and PbPb collisions at LHC energies, Publication date:  2024.

Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton–proton collisions at \sqrt{s} = 13~\text {TeV}, Publication date:  2024.

Search for long-lived particles decaying in the CMS muon detectors in proton-proton collisions at √𝑠=13  TeV, Publication date:  2024.

Conclusion

Rob White is a promising candidate for the Research for Best Researcher Award, especially given his early achievements in high-impact areas of particle physics. His work on LGAD sensors, involvement in cutting-edge dark matter research, and contributions to significant collaborations like CMS make him a strong contender. However, to further solidify his candidacy, he might focus on developing more independent research initiatives, broadening the impact of his work, and establishing a clear long-term research vision. Overall, White demonstrates great potential for continued excellence and leadership in the field of particle physics.

Mohsen Zahir Joozdani | particle accelerators | Best Researcher Award

Assist Prof Dr. Mohsen Zahir Joozdani | particle accelerators | Best Researcher Award

PHD at the Iran University of Science and Technology, Iran

Dr. Mohsen Zahir Joozdani is an Assistant Professor at Niroo Research Institute, Tehran, specializing in electrical engineering with a focus on communication systems, microwave technology, and antenna design. He earned his Ph.D. and M.Sc. in Electrical Engineering from the Iran University of Science and Technology. Dr. Zahir Joozdani has managed several projects in the power industry and is an expert in electromagnetic simulation and antenna measurement. His research interests include radar cross-section reduction and high-power microwave systems. He also has extensive teaching experience in various Iranian universities.

Professional Profiles

Publications:

A novel electromagnetic analysis of a TM02 mode dielectric assist accelerating structure, Publication date: 2024.

Magneto-electric Dipole Antenna for 5G, Publication date: 2022.

Enhancement of transmission line model to analyze the matching section of a dielectric-loaded accelerator with sharp discontinuities, Publication date: 2022.

Fast electromagnetic analysis of an X-band power injection coupler of dielectric-loaded accelerator using a novel transmission line model, Publication date: 2022.

Approximate method for electromagnetic analysis of a dielectric-loaded coupler used in accelerating structures, Publication date: 2020.

 

Elaheh Yaghoubi | High Energy Physics | Best Researcher Award

Dr. Elaheh Yaghoubi | High Energy Physics | Best Researcher Award

PHD at Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power control in smart grids, model predictive control, and renewable energy. She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, also with a GPA of 4.0. Elaheh has extensive experience in quality control, having served as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is skilled in web design and programming and is actively involved in the PEDAR research group.

Professional Profiles

Education

Ph.D. Candidate in Electronic and Electrical Engineering Karabuk University, Turkey (2021-Present) GPA: 4.0/4.0 Thesis: Optimal power control of grid-connected distributed generation in a hierarchical framework based on Model Predictive Control Master of Science in Electrical Engineering Islamic Azad University, Qaemshahr, Mazandaran, Iran (2016-2018) GPA: 4.0/4.0 Thesis: Provide a routing algorithm for the proposed topology for a grid on a large-scale chip to detect an error Bachelor of Science in Electrical Engineering Aryan Institute of Science and Technology University, Iran (2012-2014) GPA: 4.0/4.0 Associate’s Degree in Electrical Engineering University College of Rouzbahan, Iran (2010-2012) GPA: 3.5/4.0

Professional Experience

Principal Researcher PEDAR Group, Remote (2023-Present) Investigation, teaching, and designing in power electrical engineering. Website Designer WebCore Company, Mazandaran, Iran (2019-2021) Designed front-end with HTML, CSS, JavaScript; back-end with PHP, Laravel. Senior Manager Rico Electronics Company, Mazandaran, Iran (2018-2019) Oversaw product quality assurance, ensuring compliance with industry standards, and implemented design modifications. Senior Manager Kati Kabl Tabarestan Factory, Mazandaran, Iran (2015-2018) Managed quality assurance for wire and cable products, proficient in troubleshooting and resolving technical issues.

Research Interests

Power System Analysis, Power System Stability, Power Management Microgrid and Smart Grids Renewable Energies Model Predictive Controllers (MPC) Artificial Neural Networks, Machine Learning, Deep Learning Plasmonic, Nano-Electronic Devices

Awards and Honors

1st Rank among M.Sc. students of Electronics, Islamic Azad University, Qaemshahr, Mazandaran, Iran (2018) 1st Rank among B.Sc. students of Electronics, Aryan Institute of Science and Technology University, Babol, Mazandaran, Iran

Publications

  1. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior, Publication date: 2024.
  2. A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering, Publication date: 2024.
  3. Electric vehicles in China, Europe, and the United States: Current trend and market comparison, Publication date: 2024.
  4. The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems, Publication date: 2023.
  5. Reducing the vulnerability in microgrid power systemsPublication date: 2023.
  6. Controlling and tracking the maximum active power point in a photovoltaic system connected to the grid using the fuzzy neural controller, Publication date: 2023.
  7. Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station, Publication date: 2022.
  8. Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide, Publication date: 2022.
  9. Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide, Publication date: 2021.
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Jing Hao | High Energy Physics | Best Researcher Award

Dr. Jing Hao | High Energy Physics | Best Researcher Award

China Algorithm Engineer at Beijing, China

Jing Hao is an accomplished algorithm engineer at Baidu Inc. with a Master’s degree in Mechanical Engineering from HuaZhong University of Science and Technology and a Bachelor’s degree from China University of Mining and Technology. Specializing in advanced AI algorithms for visual and image applications, he has designed UAV inspection algorithms for the State Grid and improved defect detection systems. Jing’s academic contributions include pioneering glass surface segmentation methods and publishing in IEEE TCSVT. Passionate about integrating AI in healthcare, he stays updated with the latest technologies and shares insights through his WeChat account, OAOA, with over 130 original posts. High Energy Physics

Professional Profiles

Education

Master’s Degree in Mechanical Engineering – HuaZhong University of Science and Technology Postgraduate Recommendation: September 2020 – June 2022 Weighted Average Score: 89.43 / 100 Rank: 66 / 205 Thesis Title: Research on Visual Assisted System of Engineering Vehicles based on Panoramic Imaging Bachelor’s Degree in Mechanical Engineering – China University of Mining and Technology Graduated with Honors: September 2016 – June 2020 Weighted Average Score: 87.49 / 100 Rank: 22 / 325 Thesis Title: Design of Light Bridge Crane and Remote Consol. High Energy Physics

Work Experience

Baidu Inc., Beijing, China Algorithm Engineer, Visual Video and Image Application Group (July 2022 – Present) Designed UAV inspection algorithms for metal defects in transmission electricity lines of the State Grid and factory safety inspection algorithms. Developed a training scheme based on CAE (Context Autoencoder) self-supervised pre-training algorithm for UAV inspection algorithms. Conducted special data preprocessing for defect data and applied the CAE pretraining algorithm upon the Vision Transformer (ViT) architecture. Released the “Power Vision Large Model Test and Verification Report” with the State Grid Intelligent Research Institute, achieving a 4.25% increase in the AP50 metric. Explored the application of LLM in factory safety inspection, achieving higher accuracy rates using the MiniGPT4 image-text multimodal foundation large model. High Energy Physics

Rewards

National Scholarship (2018) First-class Scholarship of HUST (2021) First-class Scholarship of CUMT (2019) Second-class Scholarship of CUMT (2017) Outstanding Student of CUMT (2018) Excellent Student Leader of Jiangsu Province (2019) High Energy Physics

Publications

  1. T-mamba: Frequency-enhanced gated long-range dependency for tooth 3d cbct segmentation, Publication date: 2024.
  2. Language-aware multiple datasets detection pretraining for DETRs, Publication date: 2024.
  3. GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis, Publication date: 2024.
  4. GEM: Boost Simple Network for Glass Surface Segmentation via Vision Foundation Models, Publication date: 2023.
  5. Simple parameter-free self-attention approximationPublication date: 2023.
  6. A stronger stitching algorithm for fisheye images based on deblurring and registration, Publication date: 2023.
  7. A lightweight and accurate recognition framework for signs of X-ray weld images, Publication date: 2022.
  8. Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
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Amirali Farmani | High energy physics | Best Researcher Award

Mr. Amirali Farmani | High energy physics | Best Researcher Award

PHD at Sahand University of Technology, Iran

Amirali Farmani is a Ph.D. candidate in Material Science at Sahand University of Technology, focusing on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes. He holds a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy from Bonab University and a Master of Science in Material Science from Sahand University. His research includes innovative approaches to corrosion protection, nanocrystalline nickel films, and electrochemical water splitting. Amirali has contributed significantly to his field with several publications in esteemed journals and has been involved in consultancy projects, including designing novel corrosion protection systems. High energy physics

Professional Profiles

Academic and Professional Background

From September 2013 to August 2017, Amirali Farmani pursued a Bachelor of Engineering in Material Engineering with a specialization in Metallurgy at Bonab University, East Azerbaijan. Continuing his academic journey, from September 2017 to June 2020, he completed a Master of Science in Material Science focusing on Corrosion and Material Protection at Sahand University of Technology, Tabriz, East Azerbaijan. Currently, he is a Ph.D. candidate in Material Science, also at Sahand University of Technology, where his research has focused on enhancing hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes through innovative approaches, as evidenced by several publications in esteemed journals.  High energy physics

Areas of Research

Functional Nanomaterials Energy Materials Corrosion and Surface Science. High energy physics

Research Focus

The researcher in question appears to focus on the fields of material science and electrochemistry, with a specific interest in the synthesis and characterization of electrode materials. Their work includes studying the enhancement of hydrogen and oxygen evolution reactions on nickel electrodes, exploring the effects of mesoporosity, magnetohydrodynamics, and high gradient magnetic forces. They also investigate the corrosion behavior and ion release of chromium-cobalt alloys, particularly under the influence of chemical passivation. Additionally, they have delved into the production of nanocrystalline nickel films using ultrasonic-assisted pulse electrodeposition, examining the competition between mass transport and nucleation in determining corrosion resistance. High energy physics

Publications

  1. Ultrasonic-assisted pulse electrodeposition process for producing nanocrystalline nickel films and their corrosion behavior: Competition between mass transport and nucleation, Publication date: 2024.
  2. Effect of chemical passivation on corrosion behavior and ion release of a commercial chromium-cobalt alloy, Publication date: 2020.
  3. Boosting hydrogen and oxygen evolution reactions on electrodeposited nickel electrodes via simultaneous mesoporosity, magnetohydrodynamics and high gradient magnetic forcePublication date: 2020.
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