Zhangcun Yan | automatic vehicle system | Best Researcher Award

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Dr. Zhangcun Yan | automatic vehicle system | Best Researcher Award

Research fellow,Tongji University, China

Zhangcun Yan is a Research Assistant at Tongji University, specializing in intelligent transportation systems. He earned his Ph.D. in Transportation from Tongji University (2024), an M.Sc. in Transportation Engineering from Southwest Jiaotong University (2018), and a B.Sc. in Transportation from Ningbo University of Technology (2015). As a visiting scholar at the University of Montreal (2023–2024), he expanded his expertise in AI-driven traffic safety solutions. His research focuses on applying computer vision and artificial intelligence to enhance urban mobility, traffic safety, and autonomous systems. Zhangcun has developed novel trajectory reconstruction methods, real-time road friction detection models, and risk assessment frameworks for mixed-traffic environments. His work has been published in top-tier journals such as Expert Systems with Applications and Traffic Injury Prevention. With a citation index of 44, he continues to push the boundaries of intelligent transportation, making significant contributions to reducing accidents and improving urban traffic management.

Profile.

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🎓 Education 

Throughout his academic journey, Zhangcun has been dedicated to integrating artificial intelligence with transportation engineering to enhance road safety and efficiency. His doctoral research led to the development of an innovative NONM trajectory reconstruction method, significantly improving vehicle movement analysis in complex traffic environments. His studies also focused on real-time detection of road surface friction coefficients, a crucial factor in preventing weather-related traffic accidents. Zhangcun’s multidisciplinary education bridges the gap between traditional traffic engineering and cutting-edge AI applications.

💼 Experience

Zhangcun Yan has extensive experience in transportation research, focusing on AI applications in intelligent mobility and road safety. At Tongji University, he spearheaded multiple projects, including real-time road friction detection and automated trajectory reconstruction for urban intersections. During his tenure as a visiting scholar in Canada, he collaborated with global experts to enhance traffic risk modeling. His expertise in integrating deep learning with computer vision has led to groundbreaking solutions for vehicle tracking and collision prediction. Zhangcun’s experience spans interdisciplinary research, algorithm development, and data-driven transportation analytics, contributing to next-generation urban mobility solutions.

🏆 Awards and Honors

Zhangcun Yan has received multiple accolades for his pioneering work in AI-driven transportation research. His paper on NONM trajectory reconstruction was recognized as the Best Research Paper at an international conference, reflecting his innovative approach to solving urban mobility challenges. He was also honored for his contributions to intelligent transportation solutions at Tongji University. His ability to bridge AI with real-world traffic safety applications has earned him recognition as one of China’s top emerging transportation researchers. These awards highlight his dedication to making roads safer and more efficient through AI-powered solutions.

🔬 Research Focus 

🚗 Trajectory Reconstruction & Analysis – Developed a high-precision NONM method to enhance vehicle trajectory accuracy using social force models and particle filtering.

 Road Surface Friction Detection – Created a real-time RSFC detection system using CNN-based vision models, improving road safety in adverse weather.

⚠️ Driving Risk Assessment – Designed an AI-based risk prediction framework for mixed-traffic environments, aiding in proactive accident prevention.

📹 Computer Vision for Traffic Monitoring – Implemented YOLOv7 and DeepSort algorithms for automated vehicle tracking and intersection analysis.

His interdisciplinary work integrates AI, deep learning, and transportation engineering, leading to more efficient urban traffic management and reduced road accidents. Zhangcun’s research continues to drive innovations in autonomous driving, intelligent traffic systems, and urban mobility safety.

Publications

🏎️ “Trajectory Reconstruction Using NONM and Social Force Models” – Expert Systems with Applications

🚦 “AI-Driven Road Surface Friction Estimation in Adverse Weather” – Alexandria Engineering Journal

🚘 “Collision Risk Prediction at Urban Intersections” – Traffic Injury Prevention

🚲 “Analyzing Mixed-Traffic Interactions Using Deep Learning” – Journal of Transportation Engineering

Conclusion

Zhangcun Yan is a strong contender for the Best Researcher Award in mechanics and transportation engineering. His work in computer vision, AI-driven risk modeling, and autonomous safety systems makes a significant contribution to the field. However, improving industry collaborations, patent filings, and professional memberships would further establish his standing as a leading researcher in intelligent transportation systems. If he continues expanding his research outreach and practical applications, he will be an even more influential figure in the domain.

 

 

Zhiyi Liu | Embodied Intelligence | Best Researcher Award

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Dr. Zhiyi Liu | Embodied Intelligence | Best Researcher Award

Chief Scientist at Eastmoney AI Research Institute, China

The individual is a distinguished AI scientist with a vast background in multimodal AI, data integration, and financial technology. 📊 They have contributed significantly to AI applications across various industries, including search engines, digital healthcare, and financial markets. 🌐 Holding senior positions at prominent companies such as Baidu, SenseTime, and East Money Group, they have driven innovation in AI algorithms and system architecture. 💻 Their leadership in AI governance and multimodal model development has solidified their role as a key player in the AI landscape. 🤖 Additionally, their collaboration with academic and industry leaders, including Professor Andrew Ng, has furthered the integration of cutting-edge AI into real-world applications.

Publication Profile

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Education 🎓

They are pursuing an IMBA at the University of Hong Kong Business School (2024-2026).  They completed their Doctorate in Intelligent Manufacturing at ISTEC Paris (2021-2024).  Their undergraduate education is in Computer Science and Technology from Beijing University of Posts and Telecommunications (2007-2011).  Throughout their academic career, they have focused on merging technical expertise with strategic innovation, especially in fields related to AI, intelligent manufacturing, and business. Their education has laid a solid foundation for their work, combining both advanced technical skills and a keen understanding of the business implications of AI technologies.

Experience 🔧

Currently, they are the Principal Scientist & Executive Dean at East Money Group, leading intelligent financial risk assessment models.  Prior to this, they co-founded and served as an AI scientist at SenseTime (2019-2022), where they led multimodal data fusion projects.  At Baidu (2011-2018), they spearheaded the integration of AI into search technologies and collaborated with top AI experts, including Andrew Ng. 🤝 They have also contributed to the development of multimodal AI models at the Chinese Academy of Sciences (2018-2019). Their diverse experience encompasses AI applications in finance, healthcare, and autonomous systems.

Awards and Honors 🏆 

At the international level, they are a member of the technical committee for the IEEE CCAI 2024 conference and a technical expert for the IEC/SMB/SEG12 Bio-digital Convergence System Evaluation Team.  Nationally, they are a member of the AI Ethics Working Committee of the Chinese Association for Artificial Intelligence and an expert on Chinese AI standards. 🇨🇳 They are a distinguished fellow at Shanghai Jiaotong University’s AI and Marketing Research Center and serve as the Executive Director of the Research Center for Computational Law and AI Ethics. 🏅 Their accolades reflect their contributions to AI ethics, governance, and research.

Research Focus  🔬

Their research centers on multimodal AI, integrating data streams from text, images, speech, and video to enhance AI’s cognitive abilities. 🧠 They have made significant advancements in natural language processing (NLP), computer vision, and deep learning.  Their work also addresses AI governance, ensuring transparency, fairness, and compliance in AI systems.  They focus on practical applications in digital healthcare, where multimodal data fusion has improved diagnostic accuracy and patient care.  Additionally, they have applied AI innovations to financial markets, optimizing decision-making through advanced algorithms and risk assessment models.

Conclusion

This candidate demonstrates exceptional qualifications for the Best Researcher Award, thanks to their pioneering work in embodied intelligence, multimodal AI models, and cross-sector applications. Their leadership in AI innovation, coupled with their significant academic influence and contributions to AI ethics, makes them a standout nominee. By leveraging further commercial application and broadening international collaborations, they can continue to push the boundaries of AI research, solidifying their position as a leading researcher in the global AI community.

Publication  Top Notes

Development Paradigm of Artificial Intelligence in China from the Perspective of Digital Economics 📊: Z Liu, Y Zheng explore the AI development in China’s digital economy. (Journal of Chinese Economic and Business Studies, 2022)

Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies 💹: Z Liu, K Zhang, D Miao discuss the role of AI in enhancing trading efficiency. (International Conference on Intelligence Science, 2024)

Research on Intelligent Computing and Trustworthy Machine Learning in Financial Complex Systems 🤖: Z Liu, K Zhang, Y Zheng, S Xu, J Qu investigate AI applications in financial systems. (2024 International Conference on Data-Driven Optimization)

Application Methods of Large Language Model Interpretability in FinTech Scenarios 💼: Z Liu, K Zhang, Y Zheng, Z Sun study LLM interpretability in financial technology. (2024 International Conference on Computer Communication and Artificial Intelligence)

Application of Visualization Methods in Neural Network Training Processes 👁️: Z Liu, K Zhang, Y Zheng, L Zheng examine neural network training visualization techniques. (2024 International Symposium on AI)

A New Era of Financial Services: How AI Enhances Investment Efficiency 💼📈: Z Liu, K Zhang, H Zhang explore AI’s role in improving investment practices. (International Studies of Economics, 2024)

Wenwei Liu | Terahertz Metamaterials | Best Researcher Award

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Assoc Prof Dr. Wenwei Liu | Terahertz Metamaterials | Best Researcher Award

Assoc Prof Dr at Nankai University, China

Assoc. Prof. Dr. Wenwei Liu is a distinguished researcher at Nankai University, specializing in optics and light-matter interactions. With over 60 publications and multiple high-impact papers in renowned journals like Nano Letters and Optica, he has made significant contributions to the field of informational photonics. He has also secured two Chinese and two US patents, showcasing his innovative prowess. Dr. Liu’s research is widely recognized, and he has received prestigious awards such as the Wang Daheng Optics Award and the Top Ten Innovation Achievements from the National Postdoctoral Program.

Publication Profile

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Education🎓

Dr. Wenwei Liu earned his Ph.D. in Optics from the School of Physics, Nankai University (2013.9 – 2018.6), where he conducted groundbreaking research on subwavelength micro-/nano-structures.  He holds an impressive academic background, completing both his graduate and doctoral studies at Nankai University, one of China’s premier institutions in physical sciences. 📘 His research excellence led to his postdoctoral studies at the same institution, further deepening his expertise in optical information transmission and imaging systems. 📈

Professional Experience🌐

Dr. Liu has served as an Associate Professor at the School of Physics, Nankai University, since December 2021. 🏫 Prior to this role, he completed a prestigious postdoctoral fellowship at the same institution (2018.7 – 2023.7). His professional journey reflects a steady rise in the field of optical engineering, with increasing responsibilities and contributions to both academia and industry. 🔬 Throughout his career, he has been involved in cutting-edge research projects, successfully leading teams and producing influential studies in light-matter interactions and optical fields coherence control.

Awards and Honors 🏆

Dr. Liu has been honored with multiple prestigious awards throughout his career. 🏅 In 2021, he earned the Top Ten Innovation Achievements of National Postdoctoral Program for Innovative Talents. 🌍 Additionally, his doctoral research garnered a National Optical Excellent Doctoral Dissertation Nomination in 2020. As a student, he also received the Wang Daheng Optics Award for College Students in 2019, awarded by the Chinese Optical Society. 🌟 These accolades highlight his dedication and contributions to optics and photonics research, solidifying his reputation as an innovator in the field.

Research Focus🔬

Dr. Liu’s research focuses on light-matter interactions at subwavelength scales using micro-/nano-structures.  His work in informational photonics has led to advancements in multifunctional optical information transmission, coherence control, and metalens arrays for aberration-free positioning. 💻 He has pioneered several projects under the National Postdoctoral Program for Innovative Talents, as well as the National Natural Science Foundation of China. His work in imaging systems and optical field modulation has practical applications in fields ranging from telecommunications to biomedical imaging. 📡

Publication  Top Notes

Metasurface‐Empowered Optical Multiplexing and Multifunction – Advanced Materials (2020), 253 citations. 📄

Broadband Cross-Polarization Conversion in Transmission Mode – Optics Letters (2015), 247 citations. 📡

High-Quality-Factor Multiple Fano Resonances for Refractive Index Sensing – Optics Letters (2018), 206 citations. 🔬

Ultrahighly Saturated Structural Colors Enhanced by Multipolar-Modulated Metasurfaces – Nano Letters (2019), 184 citations. 🌈

Broadband Linear-to-Circular Polarization Converter – Scientific Reports (2015), 177 citations. 🌐

From Single-Dimensional to Multidimensional Manipulation of Optical Waves – Advanced Materials (2019), 172 citations. 🔄

Metasurface Enabled Wide-Angle Fourier Lens – Advanced Materials (2018), 157 citations. 🔍

Dynamically Tunable Broadband Infrared Anomalous Refraction – Advanced Optical Materials (2015), 145 citations. 🔥

Polarization-Sensitive Structural Colors – Advanced Optical Materials (2018), 131 citations. 🎨

Optical Polarization Encoding Using Graphene‐Loaded Plasmonic Metasurfaces – Advanced Optical Materials (2016), 115 citations.

Conclusion

Assoc. Prof. Dr. Wenwei Liu is an outstanding candidate for the Best Researcher Award, given his innovative research, high-impact publications, and leadership in advancing the field of optics. His work in light-matter interactions and micro/nano-structured systems is both theoretically advanced and practically relevant. While he may benefit from greater international collaboration and an emphasis on technology transfer, his current achievements position him as a strong contender for the award. His demonstrated excellence in research, combined with his potential for future breakthroughs, aligns well with the award’s objectives.

Yan Yang | cognitive impairment | Best Researcher Award

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Assist Prof Dr. Menghao Yang | Machine Learning | Best Researcher Award

Assistant Professor at Tongji University, China

A dedicated researcher with a Ph.D. in Materials Science and Engineering from Tsinghua University, this individual has made significant contributions to the fields of solid-state batteries and material interfaces. Their professional journey includes postdoctoral research at prestigious institutions like Stanford University, University of Maryland, and Iowa State’s Ames Laboratory. Currently an Assistant Professor at Tongji University, they focus on cutting-edge materials engineering, specializing in AI-driven material simulations, electrochemical modeling, and energy storage. Their commitment to advancing materials science is reflected in numerous accolades, including national scholarships and outstanding student awards.

Publication Profile

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Education📚 

Ph.D. in Materials Science and Engineering (2013.08 – 2018.05): Earned at Tsinghua University, this advanced degree provided deep expertise in solid-state physics, quantum mechanics, and materials science. Their Ph.D. research honed their skills in AI-driven simulations and electrochemical modeling, particularly in battery materials. Bachelor’s Degree in Materials Science and Engineering (2009.08 – 2013.07): Northwestern Polytechnical University laid the foundation for their passion for materials science, blending theoretical knowledge with practical experience in materials development, simulation, and testing.

Professional Experience🔬 

Assistant Professor, Tongji University (2023.03 – Present): Leading research in materials science, particularly focusing on battery technologies and solid electrolytes.
👨‍🔬 Visiting Scholar/Postdoctoral Associate, Stanford University (2022.05 – 2023.02): Conducted advanced research in chemical engineering with a focus on electrochemical systems. Postdoctoral Research Associate, University of Maryland (2019.08 – 2022.04): Focused on the development of solid-state battery materials and interface modeling.
⚛️ Postdoctoral Research Associate, Ames Laboratory, Iowa State University (2018.06 – 2019.07): Worked on the physics of material interfaces and advanced catalytic modeling.

Awards and Honors🏅 

Undergraduate National Scholarship (2011.09): Awarded for academic excellence during their bachelor’s studies. Graduate National Scholarship (2017.09): Recognized for their exceptional research achievements during Ph.D. studies.Outstanding Student Award of Beijing (2015.09): Honored as one of Beijing’s top students for research and academic accomplishments.Excellent Graduate Student Award (2018.06): Commended upon completing their Ph.D. for outstanding research contributions.

Research Focus🔋

Solid-State Batteries: Investigating the interfacial atomistic mechanisms of metal stripping and plating in solid-state batteries. Inorganic Solid Electrolytes: Designing and developing new inorganic solid electrolytes to enhance battery performance. Electrochemical Modeling: Focused on simulating and calculating electrochemical properties of innovative battery materials.Catalytic Materials: Predicting the catalytic performance of layered oxide materials through advanced simulations.Cell Membranes: Studying the interface transport mechanisms in phospholipid bilayers to understand cellular interactions better.

Publication  Top Notes

  • Denary oxide nanoparticles as highly stable catalysts for methane combustion
    🧪 T. Li, Y. Yao, Z. Huang, P. Xie, Z. Liu, M. Yang, et al. (2021). Nature Catalysis, 4(1), 62-70.
    Citations: 218
  • Multi-principal elemental intermetallic nanoparticles synthesized via a disorder-to-order transition
    ⚛️ M. Cui, C. Yang, S. Hwang, M. Yang, et al. (2022). Science Advances, 8(4), eabm4322.
    Citations: 77
  • Interfacial atomistic mechanisms of lithium metal stripping and plating in solid‐state batteries
    🔋 M. Yang, Y. Liu, A. M. Nolan, Y. Mo. (2021). Advanced Materials, 33(11), 2008081.
    Citations: 73
  • Effect of pressure on elastic, mechanical and electronic properties of WSe2: A first-principles study
    🔬 L. Feng, N. Li, M. Yang, Z. Liu. (2014). Materials Research Bulletin, 50, 503-508.
    Citations: 62
  • Fundamental link between β relaxation, excess wings, and cage-breaking in metallic glasses
    🌐 H.B. Yu, M.H. Yang, et al. (2018). The Journal of Physical Chemistry Letters, 9(19), 5877-5883.
    Citations: 59
  • Predicting complex relaxation processes in metallic glass
    🧑‍💻 Y. Sun, M.H. Yang, et al. (2019). Physical Review Letters, 123(10), 105701.
    Citations: 43
  • Facilitating alkaline hydrogen evolution reaction on the hetero-interfaced Ru/RuO2 through Pt single atoms doping
    ⚡ Y. Zhu, M. Klingenhof, M. Yang, et al. (2024). Nature Communications, 15(1), 1447.
    Citations: 40
  • Interfacial defect of lithium metal in solid‐state batteries
    🔋 M. Yang, Y. Mo. (2021). Angewandte Chemie International Edition, 60(39), 21494-21501.
    Citations: 31
  • Lithium crystallization at solid interfaces
    ⚛️ M. Yang, Y. Liu, Y. Mo. (2023). Nature Communications, 14(1), 2986.
    Citations: 24

Conclusion

The candidate’s expertise in materials science, particularly in solid-state batteries, coupled with their strong computational skills and global research experience, makes them a standout contender for the Best Researcher Award. While focusing on enhancing their leadership, publication record, and industry collaborations could bolster their profile, their current trajectory reflects a deep commitment to advancing the field of energy storage and materials innovation. Given their accomplishments and potential for future breakthroughs, they are a highly deserving candidate for this prestigious award.

alain R THIERRY | Data Science and Deep Learning | Excellence in Research

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Prof. alain R THIERRY  | Data Science and Deep Learning | Excellence in Research

Director of Research, INSERM U1194, France

Dr. alain R THIERRY, a distinguished biologist, and cancer researcher, is a Director of Research at INSERM and a key figure at the Institut de Recherche en Cancérologie de Montpellier. With an impressive track record in molecular biology, gene therapy, and cancer research, Dr. alain R THIERRY has held numerous influential positions in academia and the biotechnology sector, including roles at NIH and Georgetown University. A prolific author and scientific leader, they have also founded biotech companies like MedinCell and DiaDx. Dr. alain R THIERRYcontinues to drive innovative therapeutic solutions, recognized by international honors and awards.

Publication Profile

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Education🎓 

2003: Habilitation à Diriger les Recherches (HDR) in Biology-Health, Université Montpellier II 1987: CES in Human Biology (Oncology), Faculté de Médecine Paris-Sud 1986: PhD in Biochemistry, Cellular & Molecular Pharmacology, Université Montpellier II 1983: MSc in Cellular & Molecular Biology, Université de Clermont-Ferrand II 1983: Diplôme d’Ingénieur, Université Clermont-Fd II 1982: BSc in Biological Sciences & Technology, Université Clermont-Fd

Professional Experience💼 

208-present: Director of Research, INSERM, Institut de Recherche en Cancérologie, Montpellier 2001-2007: Associate Professor, Université Montpellier II2003-2004: Director of R&D, MedinCell SA, Montpellier 1997-2000: Scientific Director, Gene Therapy Dept., Biovector Therapeutics 1992-1996: Scientist, Tumor Cell Biology Lab, NCI/NIH, Bethesda 1992-1994: Adjunct Assistant Professor, Lombardi Cancer Institute, Washington DC 1988-1992: Postdoctoral Fellow, Lombardi Cancer Center, Georgetown University

Awards and Honors🏆 

1994: Federal Technology Award, NIH, USA ($10,000) 2002: Prix National de l’Innovation, Ministry of Education and Research, Paris (€300,000) 2016: Grand Prix de l’Innovation Thérapeutique, Fondation B. Denys & FRM, Montpellier (€50,000) 2022: Finalist, Prix Innovation Unicancer 2022: Innovation Award, Montpellier Université Excellence

Research Focus 🔬 

Molecular Oncology: Pioneer in understanding the molecular pathways of cancer and therapeutic gene delivery Gene Therapy: Focus on targeted gene therapy to treat cancers, with expertise in vectors and delivery systems Circulating DNA: Breakthrough research in non-invasive biomarkers for early cancer detection
Therapeutics Innovation: Key developer of novel therapeutic strategies, including drug delivery systems and cancer diagnostics
Collaborative Research: Strong interdisciplinary collaborations in biotechnology and cancer research

Publication  Top Notes

  • Origins, structures, and functions of circulating DNA in oncology
    AR Thierry, S El Messaoudi, PB Gahan, P Anker, M Stroun
    Cancer and Metastasis Reviews, 2016 | 812 citations
  • Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA
    AR Thierry, F Mouliere, S El Messaoudi, C Mollevi, E Lopez-Crapez
    Nature Medicine, 2014 | 735 citations
  • Nomenclature for synthetic gene delivery systems
    PL Felgner, Y Barenholz, JP Behr, SH Cheng, P Cullis, L Huang, AR Thierry
    Human Gene Therapy, 1997 | 652 citations
  • High fragmentation characterizes tumour-derived circulating DNA
    F Mouliere, B Robert, E Arnau Peyrotte, M Del Rio, M Ychou, F Molina, AR Thierry
    PLOS One, 2011 | 627 citations
  • Circulating cell-free DNA: preanalytical considerations
    S El Messaoudi, F Rolet, F Mouliere, AR Thierry
    Clinica Chimica Acta, 2013 | 602 citations

Conclusion:

This individual is highly suitable for the Best Researcher Award. Their long-standing career in oncology research, leadership in both academic and biotech sectors, and recognition through awards place them in an elite category of researchers. Continued engagement in broader interdisciplinary fields and public communication could further elevate their profile. Overall, their qualifications, contributions, and leadership make them a strong candidate for excellence in research awards.

Dr. Talent Diotrefe Banda | Artificial Neural Networks | Best Researcher Award

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Dr. Talent Diotrefe Banda | Artificial Neural Networks | Best Researcher Award

Dr. Talent Diotrefe Banda, ZAKUMI Consulting Engineers, South Africa

Talent Diotrefe Banda is a highly accomplished civil engineer with over 20 years of experience, specializing in water science, AI, ANNs, and WQIs. He holds numerous qualifications, including a PhD in Engineering from the University of KwaZulu-Natal, an MBA from the University of Cape Town, and multiple degrees from the Tshwane University of Technology and Bulawayo Polytechnic. As the CEO of ZAKUMI Consulting Engineers, Talent has a robust professional background with memberships in ECSA, SAICE, SABTACO, WISA, and ZIE. He has received multiple academic and business excellence awards and has published extensively in peer-reviewed journals.

Professional Profiles:

Google Scholar

QUALIFICATIONS 🎓

Master of Business Administration (MBA) – University of Cape Town, South Africa (2022)Doctor of Philosophy in Engineering (Civil) – University of KwaZulu Natal, South Africa (2020)Master of Technology Degree in Engineering: Civil – Tshwane University of Technology, South Africa (2015)Bachelor of Technology Degree in Engineering: Civil – Tshwane University of Technology, South Africa (2011)National Diploma in Civil Engineering – Bulawayo Polytechnic, Zimbabwe (2003)National Certificate in Civil Engineering – Bulawayo Polytechnic, Zimbabwe (2001)

Talent Diotrefe Banda: Chief Executive Officer (Civil Engineer) 🌟

Employer: ZAKUMI Consulting Engineers (Pty) LtdName of Staff: Talent Diotrefe BANDADate of Birth: 19th of October 1982National Identity Number: 821019 5989 188Nationality: Zimbabwean with South African Permanent Residence PermitExperience: Twenty (20) yearsArea of Specialisation: Civil Engineering, Water Scientist, Artificial Intelligence (AI), Artificial Neural Networks (ANNs), Water Quality Indices (WQIs), Research Scientist

PROFESSIONAL MEMBERSHIP 🏆

Professional Engineering Technician (Pr. Techni Eng) – Engineering Council of South Africa (ECSA)Registration Number: 201030123 from 06th of July 2010Member (MSAICE) – South Africa Institution of Civil Engineering (SAICE)Registration Number: 207890 from 06th of December 2007 (Changed from Associate Member on the 14th of December 2015)Member (MSABTACO) – South African Black Technical & Allied Careers Organization (SABTACO)Registration Number: LIMP/0095I from 22nd of October 2007Member (MWISA) – Water Institute of Southern Africa (WISA)Registration Number: 25927 from 23rd of June 2014Graduate Technician (GradTZweIE) – Zimbabwe Institution of Engineers (ZIE)Registration Number: ZIE073967 from 30th of April 2007Competent Person (Competent Engineer) – National Home Builders Registration Council (NHBRC)Registration Number: 3000166150 from 01st of June 2016

PROFILE & KEY EXPERIENCE 📈

A multi-award-winning Civil Engineer with several university qualifications, including a Doctor of Philosophy in Engineering (Civil) from the University of KwaZulu-Natal, a Master of Technology in Engineering (Civil), and a Bachelor of Technology in Engineering (Civil) from the Tshwane University of Technology where he obtained an award for the Outstanding Research: Young Water Scientist of 2012 with WaterNet/WARFSA/GWP – SA for his paper entitled “Analysis of the gazetted pricing strategy for raw water use charges in South Africa”. Furthermore, Talent holds a National Diploma in Engineering (Civil) and a National Certificate in Engineering (Civil) from Bulawayo Polytechnic, where he received three academic awards. Dr. Banda is registered as a Professional Engineering Technician (Pr. Techni. Eng) with the Engineering Council of South Africa, where he is a serving member of the Registration Committee of Professional Engineering Technicians. He gained more than twenty (20) years of experience working on Civil Engineering Projects responsible for water and wastewater designs, roads and stormwater drainage, contract and tender documentation, project implementation, and management.Additionally, Talent has a Master of Business Administration (MBA) from the University of Cape Town, Graduate School of Business (GSB) in South Africa, where he obtained an academic award as the Best Student for the Economics for Business Module. Dr. Talent Banda has ten academic and business excellence awards from institutions of higher learning and corporate organizations in Zimbabwe and South Africa. Additionally, Talent has ten publications, including peer-reviewed journal articles, conference papers, master’s dissertations, and doctoral thesis. Dr. Banda serves as Peer Reviewer and Editor in three Academic Journals. Lastly, Talent holds key positions in various working groups, committees, and management boards. 

✍️Publications Top Note :

Development of Water Quality Indices (WQIs): A Review 🌊📊

Authors: TD Banda, MV Kumarasamy Journal: Polish Journal of Environmental Studies Volume: 29 (3) Citations: 74 Year: 2020

Application of Multivariate Statistical Analysis in the Development of a Surrogate Water Quality Index (WQI) for South African Watersheds 🏞️🔬

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 12 (6), 1584 Citations: 62 Year: 2020

Development of a Universal Water Quality Index (UWQI) for South African River Catchments 🌍💧

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 12 (6), 1534 Citations: 34 Year: 2020

A Review of the Existing Water Quality Indices (WQIs) 📚📈

Authors: TD Banda, M Kumarasamy Journal: Pollution Research Volume: 39 (2), 489-514 Citations: 23 Year: 2020

Developing an Equitable Raw Water Pricing Model: The Vaal Case Study 💰💦

Author: TD Banda Institution: Tshwane University of Technology Citations: 11 Year: 2015

Aggregation Techniques Applied in Water Quality Indices (WQIs) 🔄🌐

Authors: TD Banda, M Kumarasamy Journal: Pollution Research Volume: 39 (2), 400-412 Citations: 8 Year: 2020

Development of a Universal Water Quality Index and Water Quality Variability Model for South African River Catchments 🌊🧪

Author: TD Banda Year: 2020

Artificial Neural Network (ANN)-Based Water Quality Index (WQI) for Assessing Spatiotemporal Trends in Surface Water Quality—A Case Study of South African River Basins 🤖🌍

Authors: TD Banda, M Kumarasamy Journal: Water Volume: 16 (11), 1485 Year: 2024

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

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Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic, University of Belgrade, Serbia

Dr. Katarina Đorđević holds a PhD in Physics and is an expert in the physics of condensed matter and photoacoustics. She has significant experience in applying neural networks for material characterization, supervised machine learning, and solving inverse problems. Dr. Đorđević is skilled in numerical testing and developing measurement procedures, as well as utilizing computational intelligence algorithms in various applications. Her work involves a blend of theoretical and practical approaches, leveraging advanced computational techniques to enhance understanding and innovation in material sciences.

 

Professional Profiles:

Google Scholar

Intelligence 🚀

Dr. Katarina Đorđević, PhD in Physics, is a renowned expert with extensive experience in the physics of condensed matter, photoacoustics, and the application of neural networks in material characterization. Her diverse expertise spans multiple cutting-edge fields, making her a leading figure in both theoretical and applied physics.

🌟 Physics of Condensed Matter:

Dr. Đorđević’s work in condensed matter physics delves into the intricate properties of matter in various states, contributing to a deeper understanding of material behavior under different conditions.

🔊 Photoacoustics:

She is well-versed in photoacoustics, a technique that combines light and sound to probe the properties of materials. This innovative approach allows for non-invasive, highly precise material characterization.

🤖 Neural Networks & Material Characterization:

Leveraging neural networks, Dr. Đorđević has advanced the field of material characterization. Her research utilizes these artificial intelligence systems to analyze and predict material properties with unprecedented accuracy.

💻 Supervised Machine Learning:

A significant portion of her work involves supervised machine learning, where she trains models to recognize patterns and make predictions based on extensive datasets. This has vast applications in materials science and beyond.

🔄 Inverse Problem Solving:

Dr. Đorđević excels in solving inverse problems, which involve determining unknown causes from known consequences. This is crucial in many scientific and engineering disciplines, where direct measurement is challenging or impossible.

🔢 Numerical Testing & Measurement Procedures:

Her expertise extends to numerical testing and developing precise measurement procedures, ensuring accuracy and reliability in experimental physics.

🧠 Computational Intelligence Algorithms:

She applies advanced computational intelligence algorithms to tackle complex problems in physics and material science, driving innovation and efficiency in her research.Dr. Katarina Đorđević’s multidisciplinary approach and profound knowledge make her a standout scientist, continually pushing the boundaries of what is possible in physics and computational intelligence. 🌍🔬✨

📖 Publications Top Note :

1. Photoacoustic Measurements of the Thermal and Elastic Properties of n-type Silicon Using Neural Networks

Authors: КL Djordjević, DD Markushev, ŽМ Ćojbašić, KL Djordjević
Journal: Silicon 12 (6), 1289-1300, 2020
Citations: 21

2. Computationally Intelligent Description of a Photoacoustic Detector

Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, SP Galovic, …
Journal: Optical and Quantum Electronics 52, 1-14, 2020
Citations: 19

3. Development and Comparison of Techniques for Solving the Inverse Problem in Photoacoustic Characterization of Semiconductors

Authors: M Nesic, M Popovic, K Djordjevic, V Miletic, M Jordovic-Pavlovic, …
Journal: Optical and Quantum Electronics 53, 1-16, 2021
Citations: 17

4. Photoacoustic Optical Semiconductor Characterization Based on Machine Learning and Reverse-Back Procedure

Authors: КL Djordjevic, SP Galovic, MI Jordovic-Pavlovic, MV Nesic, MN Popovic, …
Journal: Optical and Quantum Electronics 52, 1-9, 2020
Citations: 16

5. Influence of Data Scaling and Normalization on Overall Neural Network Performances in Photoacoustics

Authors: КLj Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, MN Popović …
Journal: Optical and Quantum Electronics 54 (501), 31-35, 2022
Citations: 14*

6. Photothermal Response of Polymeric Materials Including Complex Heat Capacity

Authors: KL Djordjevic, D Milicevic, SP Galovic, E Suljovrujic, SK Jacimovski, …
Journal: International Journal of Thermophysics 43 (5), 68, 2022
Citations: 14

7. Estimation of Linear Expansion Coefficient and Thermal Diffusivity by Photoacoustic Numerical Self-Consistent Procedure

Authors: MV Nesic, MN Popovic, SP Galovic, KL Djordjevic, MI Jordovic-Pavlovic, …
Journal: Journal of Applied Physics 131 (10), 2022
Citations: 13

8. Sintering of Fly Ash Based Composites with Zeolite and Bentonite Addition for Application in Construction Materials

Authors: A Terzić, N Đorđević, M Mitrić, S Marković, K Đorđević, VB Pavlović
Journal: Science of Sintering 49 (1), 23-37, 2017
Citations: 13

9. Inverse Problem Solving in Semiconductor Photoacoustics by Neural Networks

Authors: KL Djordjevic, DD Markushev, ŽM Ćojbašić, SP Galović
Journal: Inverse Problems in Science and Engineering 29 (2), 248-262, 2021
Citations: 11

10. Use Neural Network in Photoacoustic Measurement of Thermoelastic Properties of Aluminum Foil

Authors: К Lj Djordjević, SP Galović, MN Popović, MV Nešić, IP Stanimirović, ZI …
Journal: Measurement, 111537, 2022
Citations: 10