Bin Jiang | Hydrogen Energy | Best Researcher Award

Mr. Bin Jiang | Hydrogen Energy | Best Researcher Award

Senior Engineer at State Power Investment Corporation Research Institute (SPICRI), China

Bin Jiang is a Senior Engineer at the State Power Investment Corporation R&D Institute (SPICRI), specializing in hydrogen energy safety and infrastructure research. With a robust portfolio including 14 peer-reviewed publications and 14 invention patents, he has made outstanding contributions to high-pressure hydrogen technology. Bin Jiang played a key role in national hydrogen energy initiatives and independently built China’s first high-pressure hydrogen leakage test facility with pressures exceeding 70 MPa. His research underpins critical safety protocols for hydrogen refueling stations and contributes to national energy safety standards.

Publication Profile 

Scopus

Educational Background 🎓

Although specific degree information is not provided, Bin Jiang’s achievements strongly indicate an advanced academic background (likely a Master’s or Ph.D.) in engineering disciplines such as:

  • Mechanical Engineering

  • Energy Engineering

  • Hydrogen Technology or related fields

Note: This section can be updated upon disclosure of formal educational credentials.

Professional Experience 💼

  • Position: Senior Engineer

  • Institution: State Power Investment Corporation R&D Institute (SPICRI)

  • Experience Highlights:

    • Led 10 national-level research projects, including National Key R&D Programs and Major Special Projects

    • Built and managed China’s first full-scale high-pressure hydrogen leakage testing facility (>70 MPa)

    • Conducted systematic testing on nozzle types and pressure variations to assess hydrogen behavior

    • Contributed to the creation and revision of 3 national group standards

    • Collaborated with Dalian University of Technology and Wuhan University of Technology

    • Completed 2 industry consultancy projects

    • Edited and co-authored technical standards and obtained 2 software copyrights

Research Interests 🔬

  • Primary Fields:

    • Hydrogen Energy

    • Nuclear Energy

  • Specialized Topics:

    • High-pressure hydrogen leakage and diffusion behavior

    • Spontaneous combustion of hydrogen

    • Hydrogen safety engineering

    • Infrastructure design for hydrogen refueling stations

    • Energy systems safety and risk mitigation

Awards and Honors🏆✨

  • Award Nominated: Best Researcher Award (2025)

  • Recognitions:

    • Selected for leadership roles in national research programs

    • Key contributor to hydrogen safety standardization in China

    • Research cited in high-impact journals (SCI, Scopus)

No individual awards are explicitly listed; however, the quality and scope of contributions reflect national-level recognition and industry impact.

Conclusion🌟

Bin Jiang is a leading figure in hydrogen energy research in China, bridging the gap between scientific research and industrial safety. His work directly supports national energy transformation goals by ensuring that hydrogen technologies are safe, scalable, and well-understood. With groundbreaking achievements such as constructing China’s first full-scale high-pressure hydrogen leakage test facility and publishing significant research, Bin Jiang is a critical contributor to the future of clean energy. His nomination for the Best Researcher Award is a testament to his impactful, innovative, and safety-driven contributions.

Publications 📚

Niu, Y., Jiang, B., … Liang, G. (2025). 🧪 Experimental study on high-pressure hydrogen leakage and diffusion in full-scale hydrogen refueling stations. 🧾 International Journal of Hydrogen Energy.


Raja Vavekanand | Medical Imaging | Young Scientist Award

Mr. Raja Vavekanand | Medical Imaging | Young Scientist Award

AI Researcher at Datalink Research and Technology Lab, Islamkot, Pakistan

I am a dedicated AI researcher with a strong focus on the intersection of artificial intelligence and healthcare. My core research lies in developing machine learning and deep learning frameworks to enhance medical imaging, particularly in the areas of image segmentation, classification, and generative AI techniques. I aim to make diagnostics more accurate and accessible by leveraging state-of-the-art models such as convolutional neural networks and large language models. My contributions have been recognized in reputed peer-reviewed journals and international conferences. I am committed to academic excellence, collaborative innovation, and impactful research that can transform healthcare systems globally.

Publication Profile 

Scopus

Educational Background 🎓

Bachelor of Science in Information Technology
Benazir Bhutto Shaheed University Lyari, Karachi
Jan 2020 – Feb 2024

  • Final Year Project: IoT-Based Industrial Water Pollution Evaluation System

  • GPA: 3.25/4.0

Intermediate in Pre-Engineering
Board of Intermediate & Secondary Education, Mirpurkhas
Jun 2017 – Aug 2019

  • Grade: A

Professional Experience 💼

AI Researcher
Datalink Research and Technology Lab
March 2024 – Present

  • Conducting advanced research in deep learning, medical imaging, and generative AI

  • Developing and training novel models for healthcare diagnostics

  • Contributing to collaborative research publications in peer-reviewed journals

Research Assistant
Faculty of Computer Science & Information Technology, BBSUL
Feb 2023 – Sept 2023

  • Supervised by Dr. Anwar Ali Sathio on the “Industrial Water Quality Classifications” project

  • Involved in IoT sensor data collection, model training, and accuracy optimization

  • Prepared research documentation and assisted in report drafting

Research Interests 🔬

  • Deep Learning & Computer Vision in Medical Imaging

  • Medical Image Segmentation and Classification

  • Generative AI in Healthcare Diagnostics

  • Data Augmentation for Biomedical Applications

  • Large Language Models in Medical NLP

  • IoT and Machine Learning Integration for Environmental Monitoring

Awards and Honors🏆✨

  • Associate Editor | Journal of Computing Intelligence (2024–2026)

  • Editorial Board Member | Medical Data Mining Journal (2024–2025)

  • Reviewer | IEEE Internet of Things Journal

  • Reviewer | Computer Methods in Biomechanics and Biomedical Engineering

  • Reviewer | IECE Transactions on Emerging Topics in Artificial Intelligence

  • Reviewer | Computology: Journal of Applied Computer Science and Intelligent Technologies

  • Campus Director | Hult Prize Foundation (2021–2022)

  • Literacy Ambassador | World Literacy Foundation (2020–2021)

  • Youth Volunteer | United Nations Association of Pakistan (2020–2023)

Conclusion🌟

With a solid academic foundation, active research pipeline, and growing influence in the academic and scientific communities, I am committed to advancing the role of AI in medicine. My goal is to contribute to innovative, real-world solutions that enhance diagnostic accuracy, medical accessibility, and clinical efficiency. Through continuous learning and interdisciplinary collaboration, I aspire to become a thought leader in AI-driven healthcare transformation.

Publications 📚

  1. 🧠 CardioMix: A Multimodal Image-Based Classification Pipeline for Enhanced ECG Diagnosis
    📖 Medical Data Mining | 📊 IF: 3.2 | 🏷 Q4
    👥 Sam, K., Nawaz, S., & Vavekanand, R.*
    🔗 DOI: 10.53388/mdm202508006


  2. 🧬 NMRGen: A Generative Modeling Framework for Molecular Structure Prediction from NMR Spectra
    📖 IECE Transactions on Emerging Topics in Artificial Intelligence | 📊 IF: 3.4
    👤 Vavekanand, R.
    🔗 DOI: 10.62762/TETAI.2024.277656


  3. ❤️ CardiacNet: A Neural Networks Based Heartbeat Classification using ECG Signals
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👥 Vavekanand, R., Sam, K., Kumar, S., & Kumar, T.
    🔗 DOI: 10.48185/smhs.v1i2.1188


  4. 🔬 Data Augmentation of Ultrasound Imaging for Non-Invasive White Blood Cell in Peritoneal Dialysis
    📖 Biomedical Engineering Communications | 📊 IF: 1.9 | 🏷 Q4
    👥 Vavekanand, R., Kumar, T.
    🔗 DOI: 10.53388/BMEC2024017


  5. 💓 Recognizing Mitral Regurgitation Through ML in Cardiac Imaging
    📖 Cardiology & Vascular Research
    👥 Singh, V., Anwar, S., & Vavekanand, R.


  6. 💻 A Machine Learning Approach for Imputing ECG Missing Healthcare Data
    📖 Applied Computing Journal | 📊 IF: 1.4
    👤 Vavekanand, R.
    🔗 DOI: 10.2139/ssrn.4857084


  7. 🧍‍♂️ SUBMIP: Smart Human Body Health Prediction System Based on Medical Image Processing
    📖 Studies in Medical and Health Sciences | 📊 IF: 2.6
    👤 Vavekanand, R.
    🔗 DOI: 10.48185/smhs.v1i1.1141


  8. 🧠 LLMediSeg: Large Language Models for Medical Image Segmentation
    📍 3rd International Conference on Biomedical Engineering and Science (ICBES)
    👥 Vavekanand, R., Kumar, T., & Sam, K.


  9. 🧠 NeuroDNet: MRI-Based Brain Tumor Recognition
    📍 DEVTHON 5.0 International Interdisciplinary Conference (BDIIC-2024)
    🔗 DOI: 10.2139/ssrn.4827019


  10. 🏥 MediLingua: LLM for Medical Diagnosis & Report Generation
    📍 8th LNH Symposium, Jan 2025
    👤 Vavekanand, R.


 

 

 

 

P Mohanraj | Nonlinear Optics and Dynamics | Best Researcher Award

Assist. Prof. Dr. P Mohanraj | Nonlinear Optics and Dynamics | Best Researcher Award

Assistant Professor at Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India

Dr. P. Mohanraj is a dedicated physicist specializing in theoretical nonlinear optics and thin-film materials for optoelectronic and solar cell applications. He is currently serving as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. With a strong foundation in physics and a prolific publication record in Q1 and Q2 journals, Dr. Mohanraj has made significant contributions to the fields of modulational instability, nonlinear optical media, and nano-material-based thin films.

Publication Profile 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Physics (2015–2022)
    Pondicherry University
    Thesis Title: Investigation of modulational instability in various nonlinear optical media

  • M.Sc. in Physics (2013–2015)
    Pondicherry University93.5%

  • B.Sc. in Physics (2010–2013)
    Pondicherry University85%

  • PGDCA (Post Graduate Diploma in Computer Applications) – First Class (2013)

Professional Experience 💼

  • Assistant Professor
    Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
    (Sept 2022 – Present)

    Roles and Achievements:

    • Designed and delivered course materials for undergraduate/graduate physics courses

    • Mentored 70+ students and completed one M.Sc. project resulting in a journal publication

    • Reviewed a Ph.D. thesis for publication readiness

    • Introduced new academic courses aligned with institutional development goals

Research Interests 🔬

  • Theoretical Nonlinear Optics & Dynamics:

    • Modulational instability

    • Soliton dynamics

    • Supercontinuum generation

    • Fiber Bragg gratings

    • Photonic crystal fibers

    • Bose–Einstein condensates

    • Negative index materials

  • Thin-Film Fabrication & Characterization:

    • Metal oxides and sulfide-based semiconductors

    • Nano-materials for optoelectronics and solar cell devices

    • Nebulizer spray pyrolysis technique

Conclusion🌟

Dr. P. Mohanraj stands out as a multifaceted academician and researcher whose work bridges the gap between theoretical physics and practical applications in optoelectronics. His notable contributions to nonlinear optics and material science, coupled with a strong teaching record and student mentorship, position him as a promising researcher in the field. He continues to pursue innovation in advanced optical systems and material synthesis while nurturing the next generation of physicists.

Publications 📚

  • 🧪📷
    Fabrication of Er, Tb doped CuO thin films using nebulizer spray pyrolysis technique for photosensing applications
    T. Gnanasekar, S. Valanarasu, M. Ubaidullah, M. Alam, A. Nafady, …
    Optical Materials, 123, 111954 (2022).
    Cited by: 41


  • 🔬✨
    Spray pyrolysis developed Nd doped Co₃O₄ nanostructured thin films and their structural, and opto-nonlinear properties for optoelectronics applications
    S.A.F. Mohd. Shkir, Aslam Khan, Mohd. Imran, M. Ajmal Khan, R. A. Zargar, …
    Optics & Laser Technology, 150 (June 2022), 107959.
    Cited by: 40


  • 🔁🌀
    Saturable higher nonlinearity effects on the modulational instabilities in three-core triangular configuration couplers
    P. Mohanraj, R. Sivakumar
    Journal of Optics, 23(4), 045502 (2021).
    Cited by: 25


  • 📷🔋
    Enhancing the ultraviolet photosensing properties of nickel oxide thin films by Zn–La co-doping
    I.L.P. Raj, S. Valanarasu, R. Ade, Y. Bitla, P. Mohanraj, V. Ganesh, I.S. Yahia
    Ceramics International, 48(4), 5026–5034 (2022).
    Cited by: 23


  • 🔄🔬
    Role of higher order nonlinearities in the instability spectra of two core oppositely directed saturated coupler
    P. Mohanraj, R. Sivakumar
    Optik, 192, 162904 (2019).
    Cited by: 23


  • ⚡📷
    Facile fabrication of Ag/Y: CdS/Ag thin films-based photodetectors with enhanced photodetection performance
    M. Shkir, Z.R. Khan, K.V. Chandekar, T. Alshahrani, I.M. Ashraf, A. Khan, …
    Sensors and Actuators A: Physical, 331, 112890 (2021).
    Cited by: 19


  • 🔥📈
    Influence of heat treatment on the optoelectronic performance of electrodeposited CdSe thin films
    A.M.S. Arulanantham, M.M. Stephy, K.V. Gunavathy, N. Sundaramurthy, …
    Journal of Materials Science: Materials in Electronics, 33(14), 10814–10827 (2022).
    Cited by: 12


  • 📷💡
    Photosensitivity properties of Eu‑doped SnS₂ thin films deposited by cost‑effective nebulizer spray pyrolysis technique
    A.M.S. Arulanantham, P. Mohan Raj, K.V. Gunavathy, M. Rigana Begam, V. …
    Applied Physics A, 128, 364 (2022).
    Cited by: 12


  • 📉🌈
    Saturation effects on modulational instability in birefringent media with the help of Kundu–Ekchaus equation
    P. Mohanraj, R. Sivakumar
    Optik, 245, 167687 (2021).
    Cited by: 12


  • 💎📡
    Enhancement in optoelectronic properties of lanthanum co-doped CdO:Zn thin films for TCO applications
    S. Vinoth, R.S.R. Isaac, P. Mohanraj, V. Ganesh, H. Algarni, S. AlFaify
    Superlattices and Microstructures, 162, 107097 (2022).
    Cited by: 11


 

 

 

 

Ping Li | Mechanical Engineering | Best Researcher Award

Assoc. Prof. Dr. Ping Li | Mechanical Engineering | Best Researcher Award

Guangzhou University, China

Dr. Ping Li is an Associate Professor of Mechanical Engineering at the School of Mechanical and Electrical Engineering, Guangzhou University, China. With a PhD from South China University of Technology, Dr. Li specializes in micro-nano functional surface fabrication, microscale interfacial fluid transport, and thermal optimization for electronic devices. His research integrates advanced microfabrication techniques with fluid dynamics and materials science, contributing significantly to the fields of microstructured surface engineering, thermal management, and photovoltaic performance optimization. He has authored numerous peer-reviewed articles in high-impact international journals and serves as a master’s student advisor.

Publication Profile 

Orcid

Educational Background 🎓

  • 2011–2015:
    PhD in Mechanical Engineering
    South China University of Technology, Guangzhou, China

    • Dissertation: Characterized Micro-structured array of ground surface and its functional properties

    • Supervisor: Prof. Jin Xie

    • Sponsored by NSFC Program

  • 2010–2011:
    M.Sc. in Mechanical Engineering
    South China University of Technology, Guangzhou, China

  • 2006–2010:
    B.Eng. in Process Equipment and Control Engineering
    University of South China, Hengyang, China

Professional Experience 💼

  • 2023–Present
    Associate Professor, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2017–2023
    Lecturer, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2015–2017
    Engineer
    CNPC Tubular Goods Research Institute, Xi’an, China

    • State Key Laboratory for Performance and Structure Safety of Petroleum Tubular Goods and Equipment Materials

Research Interests 🔬

  1. Micro-nano Functionalization Fabrication and Materials Processing

    • Surface microstructuring, wettability control, surface roughness analysis

  2. Microscale Interfacial Fluid Transport Phenomena

    • Capillary action, thin film flows, liquid bridge dynamics using AFM

  3. Optimization Thermal Design for Electronic Devices

    • Microfluidic heat sinks, thermal diode design, solar cell interface structures

Awards and Honors🏆✨

While not explicitly listed in the CV, the following inferred distinctions apply:

  • NSFC-sponsored PhD Research Project

  • First-authored and corresponding author roles in multiple high-impact journals such as Physics of Fluids, Nanomaterials, Langmuir, and Applied Surface Science

  • Research contributions cited in interdisciplinary fields, including thermal science, optics, and materials science

Conclusion🌟

Dr. Ping Li is a rising expert in the interdisciplinary domain of micro-nano engineering, thermal management, and interfacial physics. Through his academic and industrial experiences, he bridges theoretical modeling with practical engineering applications, particularly in microscale fabrication and energy systems. His continued research output and mentorship roles position him as a significant contributor to both academic research and engineering innovation in China.

Publications 📚

📘 Unidirectional Heat and Fluid Transfer Performances of a Thermal Diode with Fishbone-Microstructure Wicks
🧪 Journal of Materials Chemistry C, 2024
🔗 DOI: 10.1039/D4TC03236E
👥 Ping Li, Jiale Huang, Haifeng Qiu, Liangming Deng, Jiawei Liao, Tuo Jin, Yongfeng Zheng, Jianhua Xiang


🏗️ Topological Design for Isotropic Metamaterials Using Anisotropic Material Microstructures
📘 Engineering Analysis with Boundary Elements, 2024-05
🔗 DOI: 10.1016/j.enganabound.2024.01.025
👥 Jianhua Xiang, Jing Chen, Yongfeng Zheng, Ping Li, Jiale Huang, Zhipeng Chen


📐 Hierarchical Topology Optimization with Varying Micro-structural Aspect Ratios
📘 Engineering Analysis with Boundary Elements, 2023-11
🔗 DOI: 10.1016/j.enganabound.2023.07.044
👥 Yongfeng Zheng, Jianhua Xiang, Zhongyuan Liao, Ping Li, Xiwen Cai, Zhipeng Chen, Jiale Huang


🔥 Design and Thermal Performance of Thermal Diode Based on the Asymmetric Flow Resistance in Vapor Channel
📘 International Journal of Thermal Sciences, 2023-09
🔗 DOI: 10.1016/j.ijthermalsci.2023.108345
👥 Jianhua Xiang, Wenqiang Yang, Hongyan Liao, Ping Li, Zhipeng Chen, Jiale Huang


🍃 The Transitional Wettability on Bamboo-Leaf-like Hierarchical-Structured Si Surface Fabricated by Microgrinding
🧪 Nanomaterials, 2022-08-22
🔗 DOI: 10.3390/nano12162888
👥 Ping Li, Jinxin Wang, Jiale Huang, Jianhua Xiang


🧴 Study on Nitrile Oxide for Low-Temperature Curing of Liquid Polybutadiene
🧪 Materials, 2022-05-09
🔗 DOI: 10.3390/ma15093396
👥 Ping Li, Xiaochuan Wang


🔍 Evaluation on Ground Surface Accuracies of Large-Depth and Steeply Micro-Structured SiC Surfaces
📘 International Journal of Precision Engineering and Manufacturing, 2021-02-04
🔗 DOI: 10.1007/s12541-020-00442-5
👥 Ping Li, Xiaochu Liu, Junwu Chen


🧲 Influence of Lateral Movement on Level Behavior of Adhesion Force Measured Repeatedly by an Atomic Force Microscope (AFM) Colloid Probe in Dry Conditions
🧪 Materials, 2021-01-13
🔗 DOI: 10.3390/ma14020370
👥 Ping Li, Tianmao Lai


🧨 Synthesis and Curing of Allyl Urethane NIMMO-THF Copolyether with Three Functional Groups as a Potential Energetic Binder
📘 Central European Journal of Energetic Materials, 2020-03-26
🔗 DOI: 10.22211/cejem/119233
👥 Ping Li


🧪 Synthesis and Curing of AUT-PNIMMO with Three Functional Groups
📘 Polymer Korea, 2019-07-31
🔗 DOI: 10.7317/pk.2019.43.4.503
👥 Ping Li


💧 Direct Evidence of a Radius of Collection Area for Thin Film Flow in Liquid Bridge Formation by Repeated Contacts Using AFM
📘 Langmuir, 2019-05-07
👥 Ping Li


Aqsa Sabir | Virtual Reality | Best Researcher Award

Ms. Aqsa Sabir | Virtual Reality | Best Researcher Award

Research Engineer at NTCSoft Inc., South Korea

Aqsa Sabir is a research-driven professional specializing in immersive technologies for education, particularly in Metaverse-based learning, Virtual Reality (VR), and Conversational AI. With a strong foundation in computer science and engineering, she integrates game engines and AI to develop innovative training systems, especially in the field of construction safety. Aqsa is the first author of several high-impact journal and conference papers and has hands-on experience in designing, developing, and optimizing 3D simulation environments using Unity, C#, and Blender. She is currently based in Seoul, South Korea, contributing to cutting-edge simulation technology and VR research.

Publication Profile 

Scopus

Educational Background 🎓

  • Master’s in Computer Science and Engineering
    Chung-Ang University, Seoul, South Korea
    Sep 2022 – Aug 2024
    Major: Application Software | CGPA: 4.07/4.5
    Thesis: Personalized Construction Safety Training System using Conversational AI-based Virtual Reality

  • Bachelor’s in Information Technology
    Government College University, Faisalabad, Pakistan
    Sep 2016 – Sep 2020
    CGPA: 3.40/4.0
    Thesis: Smart Socket

Professional Experience 💼

Research Engineer

NTCSoft Inc., South Korea — Mar 2025 – Present

  • Developed GUI tools for transport accident simulation using C#/C++.

  • Conducted human-computer interaction research and UI/UX design.

  • Created responsive dashboards and web platforms.

Senior Research Engineer (Contract)

IKLab Inc.Nov 2024 – Feb 2025

  • Developed 3D simulation environments and synthetic data for computer vision models.

  • Conducted accident reconstructions using black box and CCTV data.

  • Built custom C# GUI systems and managed company web/social platforms.

Research Assistant (Intern)

CONTI Lab, Chung-Ang University — Sep 2024 – Nov 2024

  • Designed VR environments for construction safety using game engines.

  • Created blockchain-based metaverse platforms for gamified safety learning.

  • Developed hazard-based training simulations.

Web Developer

Mar 2021 – Aug 2022

  • Built e-commerce websites using Shopify and WordPress.

  • Integrated APIs and improved UI/UX for brand-aligned user experiences.

Management Trainee Officer

EZY MIX Industries Pvt. Ltd.Feb 2021 – Apr 2021

  • Supported CTO in project and inventory management.

  • Led social media marketing and brand identity through Adobe tools.

Research Interests 🔬

  • Metaverse for Education

  • Virtual and Augmented Reality

  • Game Engines for Learning and Simulation

  • Conversational AI and Large Language Models

  • Synthetic Data Generation

  • Human-Computer Interaction

  • Construction Safety Training Technology

Awards and Honors🏆✨

  • Chung-Ang Young Scientist Scholarship (CAYSS) – Sep 2022

  • IGNITE Research Grant, Ministry of IT (Pakistan) – Aug 2020

  • Islamia College Brilliant Student Scholarship – Sep 2014

  • Women’s Cricket Champion – Sports Gala – Mar 2019

  • Best Speaker, Importance of Education Debate – Sep 2013

Conclusion🌟

Aqsa Sabir is a passionate researcher and technologist who bridges the gap between immersive digital environments and real-world safety education. Through her expertise in virtual reality, game engines, and conversational AI, she has developed impactful applications and published influential research in the construction safety domain. With a strong interdisciplinary background, she is poised to contribute significantly to the future of AI-driven educational technologies and simulation systems.

Publications 📚

  1. 🏗️ Conversational AI-based VR System to Improve Construction Safety Training of Migrant Workers
    Automation in Construction, April 2024
    🔗 DOI: 10.1016/j.autcon.2024.105315
    ✍️ First Author


  2. 🦺 Computer Vision-Based Safe Distance-Estimation Method to Prevent Forklift Tip-Overs
    International Journal of Occupational Safety and Ergonomics (Under Review – 1st Revision)
    ✍️ First Author


  3. 🧠 Personalized Construction Safety Training System Using Conversational AI in Virtual Reality
    Automation in Construction, April 2025
    🔗 DOI: 10.1016/j.autcon.2025.106207
    ✍️ First Author


  4. 🖼️ Utilizing 360-degree Images for Synthetic Data Generation in Construction Scenarios
    CONVR 2023 – 23rd Int’l Conf. on Construction Applications of VR
    🔗 DOI: 10.36253/979-12-215-0289-3.70
    ✍️ First Author


  5. 🚜 Computer Vision-Based Monitoring Framework for Forklift Safety at Construction Site
    CONVR 2023
    🔗 DOI: 10.36253/979-12-215-0289-3.67
    🤝 Co-Author


  6. 🎮 Integrating Conversational AI-Based Serious Games to Enhance Problem-Solving Skills of Construction Students
    ICCEPM 2024 – 10th Int’l Conf. on Construction Engineering and Project Management
    ✍️ First Author


  7. ⚠️ Synthetic Data Generation with Unity 3D and Unreal Engine for Construction Hazardous Scenarios: A Comparative Analysis
    ICCEPM 2024
    ✍️ First Author


  8. 🏗️ Enhancing Construction Jobsite Safety Training Through iSafeEducation: A Novel Approach Using Industry 4.0 Technologies
    ICCEPM 2024
    🤝 Co-Author


  9. 🧑‍💻 Multi-agent Conversational AI System for Personalized Learning of Construction Knowledge
    ICCEPM 2024
    🤝 Co-Author


  10. 🪜 Enhanced Ladder Safety Through Real-Time Co-Worker Presence Verification by Utilizing CV-Based Mobile Application
    ICCEPM 2024
    🤝 Co-Author


  11. 📹 Natural Language Processing and LLM-Driven Construction Safety Learning through OSHA Rules and Video Content
    ICCEPM 2024
    🤝 Co-Author


  12. 👷‍♂️ DTR: A Unified Detection-Tracking-Re-identification Framework for Dynamic Worker Monitoring in Construction Sites
    ICCEPM 2024
    🤝 Co-Author


  13. 🧠 Conceptual Framework of a Personalized Construction Safety Training System Using Conversational AI and Virtual Reality
    KICEM 2024
    ✍️ First Author


 

 

 

 

Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Mrs. Aimon Mirza Baig | Power System Optimisation | Best Researcher Award

Phd Researcher at Imperial College Lodnon, United Kingdom

Aimon Mirza Baig is a power systems researcher based in the United Kingdom, with specialized expertise in real-time modeling of flexible energy assets for grid stability. His research focuses on advanced mathematical modeling, energy market optimization, and ancillary service pricing—especially in the context of renewable-dominated and nuclear-integrated electricity grids. He is proficient in multiple programming and modeling tools, and has published extensively in high-impact journals and IEEE conferences. Fluent in six languages, Aimon also engages in STEM education outreach internationally.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • PhD in Electrical and Electronic Engineering
    Imperial College London (2019–2025)
    Focus: Real-time modeling of flexible assets, frequency-security constrained unit commitment (SUC), ancillary service optimization.

  • MSc in Advanced Electrical Engineering (Distinction)
    Queen Mary University of London (2018–2019)

  • BEng in Electrical and Electronics Engineering (First Class)
    University of Greenwich (2015–2018)

Professional Experience 💼

Imperial College London (2019–2025)

Modeling & Optimization Techniques

  • Developed C++ and Python-based SUC models integrating frequency containment and renewable uncertainty.

  • Designed pricing schemes to co-optimize energy production and ancillary service provisioning.

Simulation & Data Analysis

  • Used real-time National Grid data to validate models.

  • Demonstrated cost-effectiveness of inertia and frequency response co-optimization.

  • Evaluated benefits of ancillary services from nuclear, battery, and renewables.

Teaching & Mentorship – Riyadh, Saudi Arabia (2024)

  • Delivered STEM lectures and workshops to high school students, focusing on science and engineering.

Research Interests 🔬

  • Power system stability and control

  • Co-optimization of energy and ancillary services

  • Virtual power plants and non-convex bi-level optimization

  • Flexible nuclear integration

  • Stochastic modeling of energy systems

  • Market design and pricing mechanisms for grid services

Awards and Honors🏆✨

  • Best Researcher Award

  • Outstanding Research Award

  • Excellent Research Presentation

Skills

  • Programming: Python, C++, MATLAB, VHDL

  • Tools: Proteus, Microsoft Office

  • Languages: English, Arabic, Hindi, Urdu, Pushto, Panjabi

Conclusion🌟

Aimon Mirza Baig stands out as a dynamic researcher bridging theoretical modeling with practical energy system applications. His contributions to ancillary service markets, renewable integration, and nuclear flexibility optimization position him as a future leader in power systems engineering. His blend of technical expertise, educational outreach, and publication record reflects a strong commitment to energy innovation and sustainable grid development.

Publications 📚

  1. 📘 “Importance of Linking Inertia & Frequency Response”
    📍 IEEE PowerTech, 2021
    🔍 Focus: Grid stability through inertia and frequency dynamics.


  2. 📕 “Procurement: The Great Britain Case”
    📍 Independent Research Publication
    🏛️ Focus: Analysis of procurement mechanisms in the GB electricity market.


  3. 📗 “Market Design for Ancillary Services via Virtual Power Plants: A Non-Convex Bi-Level Optimization Approach”
    📍 Applied Energy, 2024
    ⚙️ Focus: Virtual power plants, optimization, and market integration.


  4. 📙 “Co-optimising Frequency-Containment Services in Renewable-Dominated Electricity Grids”
    📍 International Journal of Electrical Power & Energy Systems (IJEPES), 2025
    🌿 Focus: Frequency services in high-renewable environments.


  5. 📓 “Stochastic Co-Optimisation of Energy, Frequency & Carbon Services in Flexible Nuclear Power Plants”
    📍 IJEPES, 2025
    🔄 Focus: Multi-service provision from nuclear plants under uncertainty.


  6. 📒 “Marginal Pricing Scheme for Ancillary Service Provision from Flexible Nuclear Power Plants”
    📍 IEEE Transactions on Sustainable Energy, 2025
    💸 Focus: Pricing mechanisms for nuclear-powered ancillary services.


 

 

 

 

Bashar Al Mansour | Financial Markets | Best Researcher Award

Dr. Bashar Al Mansour | Financial Markets | Best Researcher Award

Associate Professor of Finance at Muscat university, Oman

Dr. Bashar Yaser Mansour Almansour is an accomplished Associate Professor of Finance with extensive academic and professional experience across the Middle East and Asia. He has contributed significantly to the fields of behavioral finance, financial technology, investment analysis, and emerging market dynamics. With a robust publication record in reputable international journals and conferences, Dr. Almansour is actively engaged in interdisciplinary research involving machine learning, cryptocurrencies, digital innovation, and policy-driven financial reforms. His teaching portfolio spans undergraduate and postgraduate levels, and he plays a pivotal role in curriculum development, student mentorship, and academic administration.

Publication Profile 

Scopus

Orcid

Educational Background 🎓

  • Ph.D. in Finance
    University Utara Malaysia, Kedah, Malaysia (2009–2013)
    Dissertation: “Market Sentiment Index and Stock Returns in Malaysia”

  • MSc. in Finance
    University Utara Malaysia, Kedah, Malaysia (2008–2009)
    Dissertation: “Predicting Financial Failure: An Empirical Investigation on Jordanian Industrial and Service Companies”

  • B.A. in Finance and Banking
    Applied Science University, Amman, Jordan (2003–2007)

Professional Experience 💼

  • Lecturer in Finance
    Muscat University, Oman (2024–Present)

  • Associate Professor (Part-Time Researcher)
    Balagrae University of Modern Sciences (2023–2024)

  • Assistant Professor
    The World Islamic Science and Education University, Jordan (2021–2022)

  • Assistant Professor
    Skyline University College, UAE (2019–2020)

  • Assistant Professor
    Taibah University, Saudi Arabia (2014–2017)

Research Interests 🔬

  • Behavioral Finance

  • Machine Learning in Finance

  • Cryptocurrency and Digital Assets

  • Financial Literacy and Risk Perception

  • Economic Innovation and Entrepreneurship

  • International Finance and Portfolio Management

  • E-Government and Financial Governance Systems

  • Decision Sciences and Quantitative Methods

Awards and Honors🏆✨

  • CFA Institute Curriculum Alignment (Taught CFA-aligned courses)

  • Member of AACSB-accredited institutions

  • External Ph.D. Viva Examiner at EGADE Business School, Tecnológico de Monterrey

  • Supervised over 15 Master’s theses

Conclusion🌟

Dr. Bashar Almansour is a dynamic academic and finance professional with a proven track record in research, teaching, and academic leadership. His interdisciplinary focus on modern financial systems, including digital innovations and behavioral dynamics, makes him a valuable contributor to the global finance and education sectors. His broad expertise and engagement with international institutions demonstrate a commitment to academic excellence and impactful scholarship.

Publications 📚

  1. 🧠 Spillover Dynamics of Digital Assets During Economic and Political Crises
    Alnafisah, H., Almansour, B. Y., Elabed, W., & Jeribi, A.
    🔗 Research in International Business and Finance, 75, 102770 (2025)
    👉 DOI Link


  2. 💡 The Investment Puzzle: Behavioral Finance, Risk Perception, and Financial Literacy
    Almansour, B. Y., Almansour, A. Y., Elkrghli, S., & Shojaei, S. A.
    🔗 Economics-Innovative and Economics Research Journal, 13(1) (2025)
    👉 DOI Link


  3. 🕶️ Virtual Reality in Skill Training
    Abdullah, M., Almansour, A. Y., Shawal, N., Hussain, M. Z., Almansour, B. Y., & Hasan, M. Z.
    🏛️ 2024 International Conference on Decision Aid Sciences and Applications (DASA)
    👉 DOI Link


  4. 🤖 Machine Learning and Rule Induction in Various Sectors
    Almansour, B. Y., Almansour, A. Y., Janjua, J. I., Zahid, M., & Abbas, T.
    🏛️ 2024 DASA Conference
    👉 DOI Link


  5. 🚀 Innovation in the Space Sector and Entrepreneurship in Oman
    Alsaadi, A., & Almansour, B. Y.
    🏛️ 2024 DASA Conference
    👉 DOI Link


  6. 🏛️ E-Government and Governance in Pakistan
    Alyas, T., Almansour, B. Y., Tabassum, N., Almansour, A. Y., & Azhar, A.
    🏛️ 2024 DASA Conference
    👉 DOI Link


  7. 🌍 Factors Influencing FDI in Oman
    Massan, T. Al, & Almansour, B. Y.
    🏛️ 2024 DASA Conference
    👉 DOI Link


  8. 📈 Technological Diversification in Iran’s Insurance Industry
    Shojaei, S. & Almansour, B. Y.
    🔗 Asia-Pacific Journal of Risk and Insurance
    👉 DOI Link


  9. 💹 Revisiting the Dynamics of Major Cryptocurrencies
    Gulseven, O., Almansour, B. Y., & Gaytan, J. C. T.
    🔗 Business, Management and Economics Engineering, 22(2), 357–381 (2024)
    👉 DOI Link


  10. 🌊 Wavelet and Quantile Regression in Crypto Interactions
    Almansour, B. Y., Gulseven, O., Tellez Gaytan, J. C.
    🔗 Industrial Engineering and Management Systems, 23(3), 383–398 (2024)
    👉 DOI Link


 

 

 

 

Yongkang Chen | Human Machine Interfaces Design | Best Researcher Award

Mr. Yongkang Chen | Human Machine Interfaces Design | Best Researcher Award

PHD student at Tongji university, China

Yongkang Chen is a Ph.D. student at the College of Design and Innovation, Tongji University in Shanghai, China. He is a design researcher focusing on human-computer interaction (HCI) with particular interests in automotive HMI, social robot design, VR, and user behavior analysis. He has co-authored and led numerous high-impact journal publications, participated in international conferences, and collaborated on industrial innovation projects. His academic productivity and design innovation have earned him national recognition and multiple prestigious design awards.

Publication Profile 

Scopus 

Orcid 

Google Scholar

Educational Background 🎓

  • Ph.D. in Design and Innovation
    Tongji University, Shanghai, China
    (Current)

  • Postgraduate Studies
    Hunan University, Changsha, China

  • Undergraduate Studies
    Central South University, Changsha, China

Professional Experience 💼

  • Design Researcher, College of Design and Innovation, Tongji University

  • Industry Project Participation:

    • Midea: Research on user behavior and innovation design

    • Hisense: User behavior and cognitive design research on smart screens

  • Academic Contributions:

    • Published in top-tier journals like Accident Analysis & Prevention, Safety Science, Sensors, International Journal of Human-Computer Interaction, The Design Journal, and Virtual Reality

    • Conference participant: ACM Chinese CHI, HCII, and others

  • Peer-reviewed Work:

    • HCI, social robotics, autonomous vehicle trust, VR, wearable devices, and game design for older adults

Research Interests 🔬

  • Human-Machine Interaction (HMI) in automotive systems

  • Human-Social Robot Interaction Design

  • Privacy and Trust in Human-Computer Interfaces

  • Virtual and Augmented Reality (VR/AR/MR)

  • Wearable Health Technology Usability

  • Emotion-driven Interaction Design

  • Smart Wearables for Autism Spectrum Disorders

  • Cognitive Interaction Interfaces

Awards and Honors🏆✨

  • 🏆 Tongji University Doctoral Scholarship – First Prize

  • 🏆 First-Class Scholarship for Doctoral Students, Tongji University

  • 🥇 DIA China Design Intelligence Award – Honorable Mention

  • 🥇 Golden Reed Award – Outstanding Concept Design

  • 🥈 China Emergency Rescue Design Competition – National Silver Award

  • 🥇 China Good Design Award – Creativity Award

  • 🥉 National College Student Industrial Design Competition – Bronze Award

  • 🥈 Golden Axle Award – National Second Prize

  • 🥇 “Grand Garden Cup” Creative Design Competition – Gold Award

  • 🥈 Innovation for Future Design Competition – Second Prize

  • 🥉 Sannuo Cup Medical Product Design – Third Prize

  • 🏅 Governor’s Cup (Guangdong Province) – Outstanding Award

  • 🥈 China Elderly Care Service Design – National Silver Award

  • 🥇 Hunan Region Industrial Design Competition – First Prize

  • 🏅 Zhuhai Mayor’s Cup – Excellence Award

  • 🎓 Graduate First-Class Scholarship, Hunan University

  • 🎓 National Scholarship for Undergraduates

  • 🎖️ 2019 Graduate of Excellence, Hunan Province

  • 🎖️ 2020 Excellent Graduate Student, Hunan University

Conclusion🌟

Yongkang Chen stands out as a highly productive and interdisciplinary design researcher, bridging design theory, technological application, and user-centered innovation. His research spans high-impact domains like autonomous driving, wearables, and social robots, contributing both academic depth and practical design insights. With numerous awards, international publications, and real-world design engagements, Chen is an emerging thought leader in the human-centered design and innovation community.

Publications 📚

  • 📝 Chen, Y., Wang, J., Jia, F.* et al. (2025).
    Is control necessary for drivers? Exploring the influence of human-machine collaboration modes on driving behavior under different hazard visibility scenarios
    Accident Analysis and Prevention
    🔬 SCI/SSCI, JCR Q1, IF=5.9


  • 📝 Chen, Y., Wu, X., Jia, F.* et al. (2024).
    Exploring the impact of social robot design characteristics on users’ privacy concerns: Evidence from PLS-SEM and FsQCA
    International Journal of Human-Computer Interaction
    🔬 SCI/SSCI, JCR Q1, IF=4.5


  • 📝 Wang, J., Chen, Y., Huo, S. et al. (2023).
    Research hotspots and trends of social robot interaction design: A Bibliometric Analysis
    Sensors
    🔬 SCI/EI, JCR Q2, IF=3.7


  • 📝 Chen, Y., Jia, F., Xiao, Q., Wu, X.* (Under Review).
    Understanding how fully autonomous vehicles’ design characteristics influence pedestrian trust
    Safety Science
    🔬 SCI, JCR Q1, IF=5.3


  • 📝 Lin, R., Chen, Y.*, Qiu, L. et al. (2024).
    The influence of Interactivity, Aesthetic, Creativity and Vividness on consumer purchase of virtual clothing
    International Journal of Human-Computer Interaction
    🔬 SCI/SSCI, JCR Q1, IF=4.5


  • 📝 Qiu, T., Li, H., Chen, Y., et al. (2024).
    Continuance intention toward VR games of intangible cultural heritage: A stimulus-organism-response perspective
    Virtual Reality
    🔬 SCI JCR Q1, IF=5.4


  • 📝 Hu, L., Chen, Y., Cao, E., Hu, W.* (2024).
    User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023
    International Journal of Human-Computer Interaction
    🔬 SCI/SSCI, JCR Q1, IF=4.5


  • 📝 Xiao, Q., Chen, Y.* (Revised).
    The Influence of Interaction Quality, Aesthetic Quality, Social Presence and Empathy on Users’ Intention to Continue Using Virtual Companion Applications
    The Design Journal
    🔬 AHCI, JCR Q1, IF=1.5


  • 📝 Wu, X., Chen, Y., Liu, M., Guo, M.* (2025).
    Game Design for Older Adults: A Bibliometric Analysis
    International Journal of Human-Computer Interaction
    🔬 SCI/SSCI, JCR Q1, IF=4.5


  • 📝 Dai, J., Chen, Y.*, He, M. et al. (Under Review).
    Effect of Hindrance Expectation, Privacy Risk, Warmth, and Emotion on Guiding Diagnosis Robot Acceptance
    International Journal of Social Robotics
    🔬 SCI, JCR Q2, IF=4.3


  • 📝 Qian, J., Chen, Y.* (Revised).
    Evaluation Index System of Smart Wearables for Autism Spectrum Disorder: A Delphi-AHP Method
    The Design Journal
    🔬 AHCI, JCR Q1, IF=1.5


  • 📝 Bai, X., Liu, Y., Dai, Z., Chen, Y., et al. (2024).
    Determinants of Perceived Comfort: Smart Bedding Design
    Sensors
    🔬 SCI/EI, JCR Q2, IF=3.7


 

 

 

 

Franto Novico | Geohazard | Best Researcher Award

Dr. Franto Novico | Geohazard | Best Researcher Award

Senior Researcher at National Research and Innovation Agency, Republic of Indonesia, Indonesia

Dr. Franto Novico is a senior researcher specializing in environmental geosciences with a focus on geodynamics, neotectonics, sedimentology, and coastal hazards. His work integrates multidisciplinary approaches such as numerical modeling and field-based studies to understand environmental and geological hazards across Indonesia and Southeast Asia. He has extensive experience in marine geology, geotechnics, and coastal dynamics, and serves in key roles within Indonesia’s national research and geological agencies.

Publication Profile 

Scopus

Educational Background 🎓

  • PhD in Geological Engineering, Padjadjaran University
    Dissertation funded by: Ministry of Public Works and Housing, Ministry of Energy and Mineral Resources (Indonesia), and the French Embassy.

  • MSc in Coastal Engineering, UNESCO-IHE Delft, Netherlands
    Thesis funded by: USGS-USA

  • B.Eng in Civil Engineering and Geotechnics, Gadjah Mada University

Professional Experience 💼

  • Senior Researcher, Research Centre for Geological Disaster, BRIN (2022–Present)

  • Head, Marine and Coastal Geological Disaster Working Group, BRIN (2023)

  • Head, Planning Sub-Program, Marine Geological Institute (2016–2020)

  • Head, Environmental Marine Geology and Hazards Working Group (2013–2016)

  • Head, Marine Geotechnical and Infrastructure Working Group (2009–2013)

  • Researcher, Marine Geological Institute, Ministry of Energy and Mineral Resources (2002–Present)

Research Interests 🔬

  • Environmental Geosciences

  • Geohazards (Earthquakes, Tsunamis, Coastal Erosion)

  • Sediment Transport and Dynamics

  • Geomorphology and Coastal Evolution

  • Numerical Modelling in Geotechnical and Geological Processes

  • Paleo-climate Reconstruction

  • Marine Geotechnics and Infrastructure

  • Coastal and Marine Disaster Risk Assessment

Keywords: Geo-Hazards, Geomorphology, Coastal Dynamics, Sedimentology, Climate Change, Numerical Modeling, Paleo-environment

Awards and Honors🏆✨

  • Research funding support from:

    • Ministry of Public Works and Housing, Republic of Indonesia

    • Ministry of Energy and Mineral Resources, Republic of Indonesia

    • French Embassy (Doctoral research support)

    • USGS-USA (Master’s thesis support)

Note: While explicit named awards are not listed, receiving international and intergovernmental research funding demonstrates recognition and merit in his field.

Conclusion🌟

Dr. Franto Novico is a leading expert in coastal and marine geosciences in Southeast Asia. With a strong foundation in geological engineering and coastal dynamics, he has significantly contributed to the understanding of geo-hazards and environmental risks in Indonesia. His interdisciplinary research, leadership in governmental institutions, and consistent academic output highlight his pivotal role in advancing marine geoscience research and disaster resilience in the region.

Publications 📚

  • 🏖️ Menier, D., Le Gall, R., Mathew, M. J., … Novico, F., et al. (2024)
    Sediment Transfer Along Pénestin Peninsula Coastline: Insights from Photogrammetric Analysis and Integrated Littoral Monitoring.
    Journal: Geomorphology
    🔗 [Link – if available]


  • 🌋 Susilohadi, S., Novico, F., Husson, L., … et al. (2024)
    Quaternary deposition and erosion in the northeastern Sunda Strait: An interplay between sea level, tectonics, and magmatic activity.
    Journal: Journal of Asian Earth Science X, 12
    🔗 https://doi.org/10.1016/j.jaesx.2024.100179


  • 🌊 Pratama, R.Y., Sulaksana, N., … Novico, F., et al. (2023)
    Short-Term Coastal Landscape Evolution in Cirebon Bay Using Coastline Environment Analysis.
    Journal: Journal of Environmental Engineering and Landscape Management, 31(3), 186–195
    🔗 https://doi.org/10.3846/jeelm.2023.19468


  • 🧱 Zulfahmi, Z., Sarah, D., Novico, F., Susilo, R.B. (2023)
    Assessment of Rock Slope Stability in a Humid Tropical Region: Case Study of a Coal Mine in South Kalimantan, Indonesia.
    Journal: Rudarsko-geološko-naftni zbornik, 38(2)
    🔗 https://doi.org/10.17794/rgn.2023.2.8


  • 🏝️ Novico, F., Menier, D., … et al. (2021)
    Impact of Late Quaternary climatic fluctuations on coastal systems: Evidence from high-resolution geophysical, sedimentological and geochronological data from Java Island.
    Journal: Marine and Petroleum Geology
    🔗 https://doi.org/10.1016/j.marpetgeo.2021.105399


  • 🌐 Novico, F., Endyana, C., … et al. (2021)
    The dynamic coastal evidence of Jakarta Bay during the Late Pleistocene-Recent.
    Conference: IOP Conference Series: Earth and Environmental Science, 930, 012002
    📎 [Access via IOP Publishing]


  • 🛠️ Franto Novico., Indra Kurniawan., Andi Egon., Davide Merli. (2021)
    Application of Offshore HDPE Pipes Route Design in North Maluku, Indonesia.
    Journal: Indonesian Journal of Marine Science, 26(1): 45-56
    🔗 https://doi.org/10.14710/ik.ijms.26.1.45-56


  • 🌍 David Menier., Manoj Mathew., … Franto Novico. (2019)
    Holocene Sediment Mobilization in the Bay of Biscay: Implication for Regional Sediment Budget Offshore to Onshore.
    Journal: Journal of Coastal Research, Special Issue No. 88: 110-121
    🔗 https://doi.org/10.2112/SI88-009.1