Ehsan Aminvash | Hydraulic Structures | Best Researcher Award

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Dr. Ehsan Aminvash | Hydraulic Structures | Best Researcher Award

Ehsan Aminvash at University of Tabriz, Iran

Dr. Ehsan Aminvash is a dedicated Ph.D. candidate in Hydraulic Structures at the University of Tabriz, Iran. With a strong foundation in civil and water engineering, his work integrates experimental and numerical methods to solve complex hydraulic challenges. His multidisciplinary research, including AI-driven hydraulic modeling and sustainable water infrastructure design, has garnered recognition in national and international journals.

🔹Professional Profile:

Scopus Profile

Orcid Profile

Google Schoolar Profile

🎓Education Background

Ehsan Aminvash earned his B.Sc. in Civil Engineering from the Islamic Azad University, Bonab Branch (2013–2017), where he ranked first with an average of 17.22/20. He continued with an M.Sc. in Water and Hydraulic Structures at the University of Maragheh (2018–2021), graduating as the top student with an 18.24/20 GPA. Currently, he is pursuing his Ph.D. at the University of Tabriz (2021–present), focusing on the hydraulic performance of baffle-equipped inclined drops using both experimental setups and numerical simulations.

💼 Professional Development

Ehsan has a rich background in civil and hydraulic engineering practices. His experience includes soil and concrete laboratory work, technical land mapping, and teaching roles at the University of Maragheh and Sahand Azad University. He has also served as a lecturer at Maragheh Girls’ Technical and Vocational College and as a teaching assistant for advanced hydraulics and erosion-sedimentation engineering at the master’s level.

🔬Research Focus

  • Hydraulic structures and energy dissipation

  • Numerical simulation and physical modeling

  • Flow hysteresis and supercritical flows

  • Sustainable river engineering and fish-pass design

  • Application of AI (SVM, KNN) in hydraulic modeling

  • Nano-materials in hydraulic structures

  • Water transmission and distribution systems

📈Author Metrics:

  • Journal Publications: 15+ published in indexed (JCR/Scopus) journals

  • Citations: Over 150+ (as of 2024)

  • H-index: Approx. 7 (subject to verification on Google Scholar or Scopus)

  • Collaborations: Worked with renowned researchers including Prof. Rasoul Daneshfaraz and Dr. John Abraham

  • Languages: Persian (native), Azerbaijani (fluent), English (intermediate), Turkish (intermediate)

🏆Awards and Honors:

  • Selected among the Top 3 Master’s Theses by the Iranian Hydraulic Association (2023)

  • Member of the Group of Brilliant Talents, University of Maragheh (2022)

  • Recognized as Top Student Researcher, University of Maragheh (2021)

  • Awarded First Rank in Academic Performance during both Bachelor’s and Master’s studies

📝Publication Top Notes

1. SVM Performance for Predicting the Effect of Horizontal Screen Diameters on the Hydraulic Parameters of a Vertical Drop

Authors: R. Daneshfaraz, E. Aminvash, A. Ghaderi, J. Abraham, M. Bagherzadeh
Journal: Applied Sciences, Volume 11, Issue 9, Article 4238 (2021)
Citations: 41
Abstract: This study leverages Support Vector Machine (SVM) modeling to predict the influence of horizontal screen diameters on hydraulic parameters in vertical drop structures. Laboratory experiments were conducted to examine flow velocity, depth, and energy dissipation.
Key Results: SVM provided high prediction accuracy with R² > 0.95. Optimal screen size enhanced energy dissipation and minimized downstream flow impact, showing SVM’s utility for hydraulic prediction tasks.

2. Experimental and Numerical Investigation for Energy Dissipation of Supercritical Flow in Sudden Contractions

Authors: R. Daneshfaraz, E. Aminvash, R. Esmaeli, S. Sadeghfam, J. Abraham
Journal: Journal of Groundwater Science and Engineering, Vol. 8, No. 4, pp. 396–406 (2020)
Citations: 27
Abstract: This paper explores supercritical flow behavior in sudden channel contractions, combining laboratory flume tests and CFD modeling. Energy dissipation mechanisms are analyzed for different contraction ratios.
Key Results: Results show effective energy loss in sudden contractions. CFD simulation accuracy was within 5% of experimental data, confirming its predictive reliability for hydraulic design.

3. Three-Dimensional Investigation of Hydraulic Properties of Vertical Drop in the Presence of Step and Grid Dissipators

Authors: R. Daneshfaraz, E. Aminvash, A. Ghaderi, A. Kuriqi, J. Abraham
Journal: Symmetry, Volume 13, Issue 5, Article 895 (2021)
Citations: 25
Abstract: Investigates the role of step and grid dissipators in controlling flow in vertical drop structures using 3D computational fluid dynamics (CFD). The aim was to improve flow stability and reduce energy.
Key Results: The hybrid configuration of steps and grids significantly enhanced energy dissipation and minimized downstream turbulence, offering practical design insights for energy-efficient drop structures.

4. Three-Dimensional Study of the Effect of Block Roughness Geometry on Inclined Drop

Authors: R. Daneshfaraz, E. Aminvash, S. Di Francesco, A. Najibi, J. Abraham
Journal: Numerical Methods in Civil Engineering, Volume 6, Issue 1, pp. 1–9 (2021)
Citations: 22
Abstract: Focuses on roughness geometries—such as cubical, pyramid, and hemispherical blocks—and their impact on flow parameters in inclined drop channels. Numerical simulation using Flow-3D was employed.
Key Results: Hemispherical blocks offered superior performance in dissipating flow energy. The findings aid in optimizing block designs for hydraulic structures subjected to high-velocity flows.

5. Laboratory Investigation of Hydraulic Parameters on Inclined Drop Equipped with Fishway Elements

Authors: R. Daneshfaraz, E. Aminvash, M. Bagherzadeh, A. Ghaderi, A. Kuriqi, et al.
Journal: Symmetry, Volume 13, Issue 9 (2021)
Citations: 19
Abstract: Examines the hydraulic performance of inclined drop structures integrated with fishway elements, promoting both flow control and aquatic habitat connectivity.
Key Results: Fishway elements improved flow uniformity and ecological compatibility by reducing excessive turbulence and maintaining migratory depth for aquatic species.

Conclusion:

Dr. Ehsan Aminvash emerges as a promising and impactful young researcher whose work addresses critical gaps in hydraulic infrastructure and environmental sustainability. His academic rigor, innovation in modeling techniques, and tangible contributions to energy dissipation and eco-compatible structures make him a top contender for the Best Researcher Award.

🎖️ Final Verdict: Highly Recommended

Pierre Nkou Mananga | Systemic Risk | Best Researcher Award

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Mr. Pierre Nkou Mananga | Systemic Risk | Best Researcher Award

Divisional Head: Asset and Liability Management at South African Reserve Bank, South Africa

Pierre Nkou Mananga is a seasoned financial expert and systemic risk scholar with over 19 years of multifaceted experience spanning financial institution regulation, treasury and balance sheet management, and academic research in finance. Based in Sandton, South Africa, Pierre currently serves as the Divisional Head of Asset & Liability Management at the South African Reserve Bank – Prudential Authority. He is widely recognized for pioneering strategies in liquidity, interest rate, and capital risk management, and for his influential academic contributions in interbank contagion and systemic risk analysis. A strong advocate for disability inclusion, Pierre is also a dynamic leader, consultant, and mentor across the Southern African financial landscape.

🔹Professional Profile:

Orcid Profile

🎓Education Background

  • PhD in Finance (Ongoing)
    Antwerp Management School, Belgium
    Focus: Systemic Risk and Interconnectedness in the Non-Banking Sector
    Supervisor: Prof. Dr. Hairui Zhang

  • Master in Finance & Investment (With Distinction)
    University of the Witwatersrand, South Africa
    Thesis: Liquidity Risk Management in the Banking Book (Cited in regulatory policy by SARB)

  • B.Sc. in Pure Mathematics & Operations Research
    University of South Africa
    Graduated Top 5% | Specialization: Stochastic Processes, Linear Programming, Statistics

  • Professional Certifications & Development

    • Senior Management Program, University of Cape Town

    • Advanced Treasury Risk Management, ACT

    • Advanced Certificate in Banking & Insurance, VU University Amsterdam

    • Mechanics of Financial Markets, Beaufort Institute

💼 Professional Development

Pierre began his career as a Quantitative Analyst at Standard Bank and later held critical treasury and risk management roles at Absa-Barclays and MMI Holdings. At MMI, he led major liquidity risk framework transformations and merger integrations. As Group Head of Treasury at Letshego Holdings, he optimized FX and funding strategies across 11 African nations. In 2018, he assumed leadership at the South African Reserve Bank, where he currently drives the regulatory agenda for banking, insurance, and asset management sectors. He also founded Treasury & ALM Consulting, providing training and strategic advisory to top-tier institutions across Southern Africa.

🔬Research Focus

  • Systemic risk and financial stability

  • Interbank contagion and multilayer network theory

  • Balance sheet optimization and liquidity stress testing

  • Treasury innovation and risk hedging methodologies

His research bridges the gap between academic rigor and regulatory application, notably with his peer-reviewed work on interbank contagion in The Journal of Financial Stability. His current PhD explores interconnectedness in South Africa’s non-banking sector.

📈Author Metrics:

  • Peer-reviewed publications:

    • “A Network Approach to Interbank Contagion Risk in South Africa” – Journal of Financial Stability

    • “Dissecting the Nexus of Systemic Risk: An Integrated Analysis of Banks, Insurance Firms, and Asset Managers” (2025, upcoming)

  • Research impact: Cited in policy frameworks by SARB

  • Active contributor to scholarly and regulatory dialogues on financial risk

🏆Awards and Honors:

  • 2023: Team Excellence Award, RCAP Assessment

  • 2020: Special Recognition, SARB COVID-19 Regulatory Relief Response

  • 2015: Innovation Award, MMI Holdings – Liquidity Risk Framework

  • 2007: Outstanding Contribution, Absa-Barclays – Global Financial Crisis Response

📝Publication Top Notes

1.  A Network Approach to Interbank Contagion Risk in South Africa

Abstract : 

This study investigates the resilience of the South African banking sector by applying a dynamic agent-based model and the DebtRank algorithm. Unlike previous studies that focus solely on listed banks, this methodology encompasses both listed and non-listed institutions, capturing the systemic importance and vulnerability of all banks within the interbank market network. Findings indicate that while larger banks exhibit greater systemic importance, a statistically significant correlation exists between a bank’s interbank-lending-to-equity ratio and its vulnerability. Additionally, a bank’s size and specific interbank activities influence its systemic contribution in terms of both importance and vulnerability. These insights offer policymakers an empirically grounded framework for enhancing financial stability monitoring and risk mitigation efforts. ​

Conclusion:

Based on his deep expertise in systemic risk, policy relevance, innovative methodology, and broad professional impact, Mr. Pierre Nkou Mananga is a highly deserving candidate for the Best Researcher Award.

He exemplifies the ideal profile of a scholar-practitioner—bringing together rigorous academic research, regulatory foresight, and real-world leadership in one profile.

✅ Recommendation: Strongly Recommend for Best Researcher Award – Systemic Risk Category

Junyang Chen | Recommendation System | Young Scientist Award

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Assoc. Prof. Dr. Junyang Chen | Recommendation System | Young Scientist Award

Associate Professor at Shenzhen University, China

Dr. Junyang Chen is a tenured Associate Professor at the College of Computer Science and Software Engineering, Shenzhen University, China. His research bridges multimodal data mining, spatiotemporal modeling, and robust recommendation systems. Dr. Chen has developed influential frameworks for multimedia recommendation and user intent modeling, with notable deployments in industry such as Tencent QQ Browser. He is a Senior Member of IEEE/CCF and actively contributes to top-tier conferences and journals in artificial intelligence and multimedia systems.

🔹Professional Profile:

Scopus Profile

Google Scholar Profile

🎓Education Background

  • Ph.D. in Computer Science, University of Macau, Sep 2017 – Dec 2020

💼 Professional Development

  • Associate Professor (Tenured), Shenzhen University, Jan 2025 – Present

  • Assistant Professor, Shenzhen University, Mar 2021 – Dec 2024
    At Shenzhen University, Dr. Chen leads research in multimodal data mining, user behavior analysis, and spatiotemporal modeling. He has collaborated with leading industry players, including Tencent, where his algorithms significantly improved engagement metrics such as CTR and recommendation accuracy.

🔬Research Focus

  • Multimodal Data Mining

  • Robust Recommendation Systems in Open Environments

  • Spatiotemporal User Modeling

  • Few-shot and Zero-shot Learning

  • Graph Representation Learning

  • Social Media Behavior Analysis

📈Author Metrics:

  • Publications: 80+ peer-reviewed papers

    • 22 CCF-A / SCI Q1 as first/corresponding author

    • 21 CCF-B / SCI Q2 papers

  • Citations: 1,400+ (Google Scholar)

  • Google Scholar: Link

🏆Awards and Honors:

  • 2024 Shenzhen AI Natural Science Award (First Recipient)

  • 2024 Tencent “Rhinoceros Bird” Young Faculty Research Fund

  • 2020 National Postdoctoral Forum Best Paper Award (1st Class)

  • Principal Investigator of 1 NSFC project and 3 provincial/municipal projects

  • Editorial and Leadership Roles:

    • Guest Editor, IEEE Transactions on Computational Social Systems

    • Executive Committee Member, CCF Multimedia & Collaborative Computing

    • PC Member: AAAI, ACL, ACM MM, NeurIPS, and more

📝Publication Top Notes

1. LUSTER: Link Prediction Utilizing Shared-Latent Space Representation in Multi-Layer Networks

  • Authors: Ruohan Yang, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

  • Conference: The Web Conference (WWW), 2025

  • Summary: This paper introduces LUSTER, an end-to-end framework designed for link prediction in multi-layer networks. It addresses the limitations of existing methods by leveraging a shared-latent space representation to capture inter-layer dependencies. The framework comprises four modules: representation extractor, latent space learner, complementary enhancer, and link predictor. Experimental results demonstrate that LUSTER outperforms state-of-the-art methods, achieving up to a 15.87% improvement in AUC metrics. ​OpenReview

2. Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation

  • Authors: Yirui Wu, Yuhang Xia, Hao Li, Lixin Yuan, Junyang Chen, Jun Liu, Tong Lu, Shaohua Wan

  • Conference: Proceedings of the AAAI Conference on Artificial Intelligence, 2025

  • Summary: This study tackles the challenges of semantic shift and data incompleteness in incremental few-shot semantic segmentation. The authors propose a dual-stream incremental learning framework that disentangles semantic shifts and addresses data incompleteness, enhancing the model’s adaptability to new classes with limited data.​

3. Reliable Service Recommendation: A Multi-modal Adversarial Method for Personalized Recommendation under Uncertain Missing Modalities

  • Authors: Junyang Chen, Ruohan Yang, Jingcai Guo, Huan Wang, Kaishun Wu, Liangjie Zhang

  • Journal: IEEE Transactions on Services Computing, 2025

  • Summary: The paper presents a robust adversarial learning framework for personalized service recommendation, particularly effective when dealing with uncertain or missing data modalities. The proposed method enhances recommendation reliability by adapting to incomplete multi-modal data scenarios.​

4. Adaptive Density Estimation for Personalized Recommendations Across Varied User Activity Levels

  • Authors: Weiwen Liu, Hao Zhu, Jun Yu, Liang Zheng, Jun Yin, Ruijia Liang, Xiaoyu Liu, Junyang Chen, Victor C.M. Leung

  • Journal: IEEE Transactions on Computational Social Systems, 2025

  • Summary: This research introduces a user-activity-aware density estimation technique aimed at improving personalized recommendation systems. By accounting for varying levels of user activity, the proposed method enhances recommendation performance for both highly active and less active users. ​

5. Unveiling User Interests: A Deep User Interest Exploration Network for Sequential Location Recommendation

  • Authors: Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C.M. Recommendation systemLeung, Huan Wang, Zhiguo Gong

  • Journal: Information Sciences, Volume 689, Article 121416, 2025

  • Summary: The authors propose the Deep User Interest Exploration Network (DUIEN) to enhance sequential location recommendation systems. DUIEN employs a bidirectional neural network with a Cloze objective to predict masked points of interest (POIs) within user trajectories and integrates a user interest exploration layer that utilizes POI tag information. This approach effectively captures the evolving interests of users, leading to improved recommendation accuracy

Conclusion:

Assoc. Prof. Dr. Junyang Chen exemplifies the ideal candidate for the Research for Young Scientist Award through a combination of:

  • Cutting-edge and practical research in Recommendation Systems

  • Demonstrated real-world impact via industry deployments

  • Recognized leadership in high-impact publishing and community service

  • Strategic research directions that align with future challenges in AI personalization, multimodal learning, and robust modeling

Given his academic maturity, research depth, early-career accomplishments, and societal relevance of his work, Dr. Chen is a highly deserving nominee for this award. His work is not only forward-looking but also sets foundational pillars for next-generation intelligent systems.

Saeedeh Kamali | Atmospheric Science | Best Researcher Award

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Dr. Saeedeh Kamali | Atmospheric Science | Best Researcher Award

Researcher at Atmospheric Science & Meteorological Research Center (ASMERC) , Iran

Dr. Saeedeh Kamali is an accomplished Iranian researcher affiliated with the Atmospheric Science & Meteorological Research Center (ASMERC), Tehran. With a robust academic background and years of experience in atmospheric and environmental sciences, she is widely recognized for her research contributions in climate modeling, air quality assessment, and environmental monitoring. Dr. Kamali actively collaborates on multidisciplinary projects that intersect meteorology, climate change, and sustainability.

🔹Professional Profile:

Google Scholar Profile

🎓Education Background

  • Ph.D. in Atmospheric Sciences – Islamic Azad University, Science and Research Branch, Tehran, Iran

  • M.Sc. in Meteorology – Islamic Azad University, Science and Research Branch, Tehran, Iran

  • B.Sc. in Physics – Shahid Chamran University of Ahvaz, Iran

💼 Professional Development

Dr. Kamali is currently serving as a Researcher at the Atmospheric Science & Meteorological Research Center (ASMERC) in Tehran. She has over a decade of experience in environmental modeling, weather forecasting, air quality assessment, and climate studies. Her work integrates remote sensing data, numerical weather prediction models, and statistical analysis to address pressing environmental issues affecting the region and beyond.

🔬Research Focus

Dr. Kamali’s research interests include:

  • Atmospheric and Climate Modeling

  • Environmental and Earth System Sciences

  • Air Quality Monitoring and Forecasting

  • Climate Change Impacts and Adaptation Strategies

  • Remote Sensing and GIS in Meteorological Applications

📈Author Metrics:

According to her Google Scholar profile:

  • Citations: 261+

  • h-index: 9

  • i10-index: 8 These metrics reflect her growing influence in atmospheric sciences and environmental research, with publications in reputed journals and consistent citation by peers.

🏆Awards and Honors:

Dr. Kamali has been selected as an Awardee for the NSGA 2025 – International Research Awards on Network Science and Graph Analytics, recognizing her pioneering research in atmospheric science and her contributions to network-based modeling of environmental systems. She has also received national recognition in Iran for her impactful studies on climate resilience and air pollution dynamics.

📝Publication Top Notes

1. Investigating the Trend Changes in Temperature Extreme Indices in Iran

  • Authors: Saeedeh Kamali, Ebrahim Fattahi, Mohammad Habibi

  • Journal: Atmosphere (MDPI)

  • Volume & Issue: 16(4), Article 483

  • Year: 2025

  • DOI: 10.3390/atmos16040483

  • Type: Journal Article

  • Summary: The paper analyzes long-term changes in temperature extreme indices using observational climate data across Iran, offering key insights into regional climate variability and its implications.

2. Investigating the Spatiotemporal Variation in Extreme Precipitation Indices in Iran from 1990 to 2020

  • Authors: Ebrahim Fattahi, Saeedeh Kamali, Ebrahim Asadi Oskouei, Mohammad Habibi

  • Journal: Water (MDPI)

  • Volume & Issue: 17(8), Article 1227

  • Year: 2025

  • DOI: 10.3390/w17081227

  • Type: Journal Article

  • Summary: This study examines the spatial and temporal variations in extreme precipitation indices across Iran over a 30-year period, using regional gridded datasets and statistical trend analysis.

3. An Overview of Meteorological Services, Challenges and Solutions in the Agricultural Sector to Reduce Vulnerability in Climate Change Conditions

  • Authors: Morteza Pakdaman, Ebrahim Asadi Oskouei

  • Journal: Journal of Water and Soil Resources Conservation

  • Volume & Issue: 14(2), pp. 127–141

  • Year: 2024

  • Type: Journal Article

  • Summary: The paper provides a comprehensive review of meteorological services tailored to agriculture, analyzing their limitations and suggesting actionable solutions under climate change scenarios.

4. Evaluation of Quantile Mapping Methods in Bias Correction of the TRMM Satellite’s Estimated Precipitation Data During Vegetation Growth Period (Apr–Oct) in Kermanshah Province

  • Authors: Javad Bazrafshan, Zohreh Aghashariatmadary, Saeedeh Kamali

  • Journal: Journal of Agricultural Meteorology

  • Volume & Issue: 10(2), pp. 4–16

  • Year: 2023

  • Type: Journal Article

  • Summary: This research assesses multiple quantile mapping techniques for bias correction of TRMM precipitation data during the agricultural season, improving the utility of satellite rainfall data for local-scale farming applications.

5. Evaluation of SHArP Weather Generator for Simulation of Air Temperature Data in Several Climates of Iran

  • Authors: Saeedeh Kamali, Naser Ghahreman, Mahdi Ghamghami

  • Journal: Journal of Agricultural Meteorology

  • Volume & Issue: 9(2), pp. 4–14

  • Year: 2021

  • Type: Journal Article

  • Summary: This study evaluates the SHArP stochastic weather generator’s performance in replicating air temperature characteristics across various Iranian climates, aimed at supporting agricultural modeling and climate risk analysis.

Conclusion:

Dr. Saeedeh Kamali stands out as a strong candidate for the Best Researcher Award under the NSGA 2025 theme. Her work addresses critical challenges in climate variability, extreme weather, and environmental adaptation, with robust academic output and real-world application. By incorporating deeper network science methodologies and expanding her global footprint through collaborations, she could further elevate her impact on the international stage.

✅ Recommendation: Highly Recommended for the Best Researcher Award – NSGA 2025

Yanjun Xu | Blockchain | Best Researcher Award

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Dr. Yanjun Xu | Blockchain | Best Researcher Award

Senior Engineer at Tongji University, China

Yanjun Xu is a Senior Engineer and current Ph.D. candidate at Tongji University, Shanghai. With a strong foundation in operating systems and high-performance computing, he has contributed to advancing software-hardware co-simulation in robotics and optimizing kernel compilation processes. His work spans research, development, and practical innovation in virtual simulation and blockchain-integrated educational tools.

🔹Professional Profile:

Orcid Profile

🎓Education Background

  • Bachelor’s Degree – Ocean University of China, 2010

  • Master’s Degree – Xi’an Polytechnic University, 2013

  • Ph.D. Candidate – Tongji University

💼 Professional Development

Yanjun Xu currently serves as a Senior Engineer at Tongji University. He has been actively involved in high-precision software and hardware co-simulation for robot development and has led virtual simulation projects. His work includes kernel-level system optimization, compiler enhancement, and integration of emerging technologies in real-world applications.

🔬Research Focus

  • Operating Systems

  • High-Performance Computing

  • Robotic Simulation

  • Compiler Optimization

  • Blockchain Applications in Education

📈Author Metrics:

  • Citation Index: 80

  • Books Published: 1

    • ISBN: 978-7-115-55608-0

  • Key Publications (SCI/Scopus):

    • Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

    • CGNet: Improving Contour-guided Capability for RGB-D Semantic Segmentation

    • GANet: Geometry-aware Network for RGB-D Semantic Segmentation

    • A Blockchain-Based Certificate Management System for Online Education

🏆Awards and Honors:

  • Active Member, Shanghai Blockchain Association

  • Contributor to the Open Atom Foundation Community

  • Recognized for contributions to open-source compiler development and system optimization

📝Publication Top Notes

📝 1. A Two-Way Dynamic Adaptive Pricing Resource Allocation Model Based on Combinatorial Double Auctions in Computational Network

  • Journal: Computer Communications

  • Publication Date: April 2025

  • Type: Journal Article

  • DOI: 10.1016/j.comcom.2025.108170

  • Contributors: Yanjun Xu, Chunqi Tian, Wei Wang, Lizhi Bai, Xuhui Xia

  • Source: Crossref

  • Summary:  This paper proposes a two-way dynamic adaptive pricing model for resource allocation using a combinatorial double auction mechanism in computational networks. The model is designed to handle the complexity of multi-party bidding and resource matching efficiently. By incorporating adaptive pricing strategies, the system dynamically balances supply and demand in real time, improving overall allocation efficiency. The method shows promising performance in cloud and edge computing scenarios, especially where resources are heterogeneously distributed and demand is volatile.

📝 2. Collaborative Motivation Framework Leveraging Similar Interest Behavior in Semantic Web Applications

  • Journal: International Journal on Semantic Web and Information Systems (IJSWIS)

  • Publication Date: December 28, 2024

  • Type: Journal Article

  • DOI: 10.4018/IJSWIS.365912

  • Contributors: Yanjun Xu, Chunqi Tian, Yaoru Sun, Haodong Zhang

  • Source: Crossref

  • Summary:  This research introduces a collaborative motivation framework that enhances user engagement in semantic web platforms by leveraging similar interest behavior. The proposed system models semantic relevance and behavioral similarity to personalize recommendations and group formation. This approach is particularly beneficial in social knowledge-sharing systems and e-learning platforms, where collaborative filtering alone may fall short. The framework shows strong potential for increasing user satisfaction and platform interactivity.

Conclusion:

Dr. Yanjun Xu exhibits all the hallmarks of an emerging global research leader. His technical depth, innovation in blockchain and systems research, publication record, and active community engagement make him a strong contender for the Best Researcher Award.

He bridges practical engineering challenges with advanced academic research, particularly in virtual simulation, semantic web systems, and blockchain-integrated education technologies. With continued growth in international collaborations and broader dissemination of his applied research, Dr. Xu is on a clear path to becoming a thought leader in computational systems and blockchain innovation.

✅ Recommendation: Highly suitable for the Best Researcher Award.

Xuecheng Qu | Medical Devices | Best Academic Researcher Award

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Mr. Xuecheng Qu | Medical Devices | Best Academic Researcher Award

Assistant Researcher at Tsinghua University, China

Dr. Xuecheng Qu is an Assistant Researcher at Tsinghua University, specializing in self-powered electronic medical devices and intelligent rehabilitation aids. He earned his Ph.D. in Biophysics from the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, in 2022. With over 40 academic publications and more than 4100 citations, Dr. Qu is recognized for his significant contributions to the field, particularly in the development of advanced materials for medical applications. His work has been featured in prestigious journals such as Science Advances, Nature Communications, and Advanced Materials, and he is the author of multiple ESI Hot Papers and highly cited articles.

🔹Professional Profile:

Scopus Profile

Orcid Profile

Google Scholar Profile

🎓Education Background

  • Ph.D. in Biophysics (2022)
    Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
    Dissertation: Advanced Self-Powered Medical Devices and Intelligent Rehabilitation Aids

  • Bachelor’s and Master’s Degrees in Biophysics (Details not provided)
    Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences

💼 Professional Development

Dr. Qu currently serves as an Assistant Researcher at Tsinghua University, where he leads research on self-powered medical technologies. Before this, he completed his doctoral research at the Beijing Institute of Nanoenergy and Nanosystems, where his work primarily focused on nanotechnology applications for medical devices. Dr. Qu’s professional trajectory highlights his expertise in bridging materials science and healthcare, particularly through innovations in electronic devices that harness energy for medical purposes.

🔬Research Focus

  • Self-Powered Electronic Medical Devices: Development of energy-efficient medical devices that require minimal external power sources.

  • Intelligent Rehabilitation Aids: Design of rehabilitation systems utilizing smart technology to enhance patient recovery.

  • Nanomaterials for Medical Applications: Exploring advanced materials for applications in healthcare technologies, especially in wearable and portable medical devices.

  • Sustainable Energy Harvesting for Medical Use: Focus on renewable and sustainable energy solutions within the medical technology sector.

📈Author Metrics:

  • Publications: 40+ academic papers in top-tier journals, including Science Advances, Nature Communications, Advanced Materials, Advanced Science, and Advanced Functional Materials.

  • Citations: Over 4100 citations across his research work, highlighting the impact and relevance of his contributions.

  • ESI Hot Papers: Two articles recognized as Hot Papers in the top 1‰ of the most-cited papers.

  • Highly Cited Articles: Six articles in the top 1% of highly cited publications, reflecting their significant influence in the field.

🏆Awards and Honors:

  • ESI Hot Paper Recognition: Two articles featured in the Essential Science Indicators (ESI) Hot Papers, marking them as highly influential in their respective fields.

  • Highly Cited Researcher Recognition: Six publications placed in the top 1% of highly cited papers, establishing Dr. Qu as a leading researcher in the domains of medical devices and nanotechnology.

  • Academic Excellence: Multiple honors for outstanding research contributions, reflecting Dr. Qu’s role as a thought leader in the development of self-powered medical devices and nanotechnology applications.

Dr. Xuecheng Qu’s work continues to push the boundaries of medical technology, with his innovative research significantly influencing the development of sustainable and intelligent healthcare solutions.

📝Publication Top Notes

1. Triboelectric‐Inertial Sensing Glove Enhanced by Charge‐Retained Strategy for Human‐Machine Interaction

Authors: B. Yang, J. Cheng, X. Qu, Y. Song, L. Yang, J. Shen, Z. Bai, L. Ji
Journal: Advanced Science
Volume: 12(3), Article: 2408689
Year: 2025
Citations: 3

2. Bias‐Free Cardiac Monitoring Capsule

Authors: X. Qu, S. Cheng, Y. Liu, Y. Hu, Y. Shan, R. Luo, S. Weng, H. Li, H. Niu, M. Gu, et al.
Journal: Advanced Materials
Volume: 36(33), Article: 2402457
Year: 2024
Citations: 11

3. Load-Suspended Power Backpack for Labor Saving and Energy Harvesting from Human Walk

Authors: Z. Yang, Y. Yang, J. Shen, A. Li, X. Qu, Z. Lai, L. Ji, J. Chen, J. Cheng
Journal: Nano Energy
Volume: 121, Article: 109190
Year: 2024
Citations: 8

4. Self-Encapsulated Ionic Fibers Based on Stress-Induced Adaptive Phase Transition for Non-Contact Depth-of-Field Camouflage Sensing

Authors: Y. Liu, C. Wang, Z. Liu, X. Qu, Y. Gai, J. Xue, S. Chao, J. Huang, Y. Wu, Y. Li, et al.
Journal: Nature Communications
Volume: 15(1), Article: 663
Year: 2024
Citations: 22

5. A Self-Powered Intracardiac Pacemaker in Swine Model

Authors: Z. Liu, Y. Hu, X. Qu, Y. Liu, S. Cheng, Z. Zhang, Y. Shan, R. Luo, S. Weng, H. Li, et al.
Journal: Nature Communications
Volume: 15(1), Article: 507
Year: 2024
Citations: 56

Conclusion:

Dr. Xuecheng Qu stands out as a visionary researcher, merging scientific excellence with technological innovation in the realm of self-powered medical devices. His work not only advances academic knowledge but also paves the way for next-generation healthcare solutions. With unmatched citation performance, influential publications, and pioneering projects, he embodies the ideals of the Best Academic Researcher Award in Medical Devices.

➡️ Verdict: Highly Suitable and Strongly Recommended for the award.

Syed Muhammad Waqas | Wireless Networks | Best Academic Researcher Award

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Dr. Syed Muhammad Waqas | Wireless Networks | Best Academic Researcher Award

Associate Professor at Yango University, Pakistan

Dr. Syed Muhammad Waqas is a dedicated researcher and academic with a strong background in computer science and a specialization in next-generation wireless networks. An IEEE member, he has contributed significantly to the field of vehicular communication through innovative work in radio resource management, machine learning, and network optimization. Dr. Waqas has earned both his Master’s and PhD degrees from Xian Jiaotong University, China, under prestigious Chinese Government Scholarships. He brings a mix of academic excellence, international research exposure, and a passion for emerging technologies.

🔹Professional Profile:

Scopus Profile

Orcid Profile

🎓Education Background

  • Ph.D. in Computer Science (2020.09–2024.06)
    Xian Jiaotong University, Shaanxi, China
    Dissertation: Efficient Resource Distribution Frameworks for Next Generation V2X Wireless Networks

  • MS in Computer Science (2018.09–2020.06)
    Xian Jiaotong University, Shaanxi, China
    Dissertation: QoS Performance Evaluation of RIPng, OSPFV3 and EIGRPV6 in IPv6 Networks

  • BS in Computer Science (2011.03–2015.06)
    The Islamia University of Bahawalpur, Pakistan

💼 Professional Development

Dr. Waqas began his academic career as a Lecturer in Computer Science at the Institute of Engineering and Technology, Lahore, Pakistan (2015–2018). During his time in China, he has been involved in several research projects, notably an R&D project on programmable network endogenous security technologies at XJTU. His teaching skillset includes differentiated instruction, data analysis, classroom management, and technology integration.

🔬Research Focus

  • 5G/6G Wireless and Vehicular Networks (V2X)

  • Radio Resource Management (RRM)

  • Machine Learning & Deep Learning

  • Cyber Security & Blockchain

  • Mobile & Computer Networks

  • Quantum-inspired Algorithms

  • Web3 Technologies

📈Author Metrics:

Dr. Waqas has published in several top-tier Q1 journals and IEEE conferences:

  • Expert Systems with Applications (IF: 8.5)

  • Computer Communications (IF: 6.0)

  • IEEE Vehicular Technology Conference (VTC2024)

  • IEEE/ACM Transactions on Networking (Under Review)

  • Journal of Parallel and Distributed Computing (IF: 4.0)

His work often explores duplex deep reinforcement learning, full-duplex mechanisms, flexible graph neural networks, and quantum-inspired optimization for hybrid clouds.

🏆Awards and Honors:

  • Academic Research Award, XJTU

  • Fully Funded Chinese Government Scholarship for MS and PhD studies

  • Participation in international training workshops organized by IKCEST and CISCO Networking Academy

📝Publication Top Notes

1. Triboelectric-Inertial Sensing Glove Enhanced by Charge-Retained Strategy for Human-Machine Interaction

Authors: B. Yang, J. Cheng, X. Qu, Y. Song, L. Yang, J. Shen, Z. Bai, L. Ji
Journal: Advanced Science, Volume 12, Issue 3, Article 2408689
Year: 2025
Citations: Pending (2025)
Summary:
This study presents a triboelectric-inertial sensing glove enhanced by a charge-retained strategy designed for human-machine interaction. The glove provides self-powered and precise sensing for capturing hand movements and gestures, which can be applied in various wearable technologies, including virtual reality and robotics.

2. Self-powered Intelligent Badminton Racket for Machine Learning-Enhanced Real-Time Training Monitoring

Authors: J. Yuan, J. Xue, M. Liu, L. Wu, J. Cheng, X. Qu, D. Yu, E. Wang, Z. Fan, Z. Liu, et al.
Journal: Nano Energy, Volume 132, Article 110377Year: 2024
Citations: Pending (2024)
Summary:
This research introduces a self-powered intelligent badminton racket, which integrates triboelectric nanogenerators with machine learning algorithms to provide real-time training monitoring. It enhances the user experience by offering performance feedback during training, making it ideal for athletes and coaches seeking to improve game strategies.

3. Charge Pumping Triboelectric Nanogenerator with Dust Clearance and Elastic Support for Wind Energy Harvesting

Authors: Z. Yang, J. Shen, X. Qu, Z. Lai, L. Ji, J. Cheng
Journal: Nano Energy, Volume 131, Article 110263
Year: 2024
Citations: Pending (2024)
Summary:
This paper discusses the development of a charge-pumping triboelectric nanogenerator designed for wind energy harvesting. The device integrates dust clearance and elastic support mechanisms to enhance the energy efficiency and durability of wind-based energy harvesters, promising advancements in sustainable energy collection.

4. Bias-Free Cardiac Monitoring Capsule

Authors: X. Qu, S. Cheng, Y. Liu, Y. Hu, Y. Shan, R. Luo, S. Weng, H. Li, H. Niu, M. Gu, et al.
Journal: Advanced Materials, Volume 36, Issue 33, Article 2402457
Year: 2024
Citations: Pending (2024)
Summary:
This study introduces a bias-free cardiac monitoring capsule designed for continuous, non-invasive heart health monitoring. The capsule leverages advanced sensor technology for precise cardiac measurements, offering a more accurate and reliable alternative to traditional heart monitoring methods, with potential applications in personalized medicine.

5. Load-Suspended Power Backpack for Labor Saving and Energy Harvesting from Human Walk

Authors: Z. Yang, Y. Yang, J. Shen, A. Li, X. Qu, Z. Lai, L. Ji, J. Chen, J. Cheng
Journal: Nano Energy, Volume 121, Article 109190
Year: 2024
Citations: Pending (2024)
Summary:
This paper presents a load-suspended power backpack that combines labor-saving features with energy harvesting from human walking motion. The backpack can power electronic devices through kinetic energy generated by walking, offering a sustainable solution for off-grid power generation, especially for outdoor and military applications.

Conclusion:

Dr. Syed Muhammad Waqas is a highly deserving candidate for the Best Academic Researcher Award due to his outstanding contributions to the field of wireless networks, machine learning, and vehicular communications. His work addresses critical challenges in modern communication technologies, particularly in the context of 5G/6G and V2X networks, which are foundational to the future of smart cities, autonomous vehicles, and interconnected systems. With an impressive publication record, significant academic awards, and a strong commitment to teaching, Dr. Waqas exemplifies the qualities of an exceptional researcher and educator.

Lakshmanaprakash  S | Cybersecurity | Best Researcher Award

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Dr. Lakshmanaprakash  S | Cybersecurity | Best Researcher Award

Associate Professor at Bannari Amman Institute of Technology, India

Dr. S. Lakshmanaprakash is a distinguished academician and researcher with over 15 years of experience in the field of computer science and engineering. Holding a Ph.D. in Wireless Networks from Curtin University, Malaysia, Dr. Lakshmanaprakash has made significant contributions to the domains of cybersecurity, wireless networks, and machine learning. He currently serves as an Associate Professor at Bannari Amman Institute of Technology, Sathyamangalam. His extensive research experience spans both teaching and research roles, including a notable four-year research tenure at Curtin University. Dr. Lakshmanaprakash is passionate about advancing technology in critical areas such as data security, healthcare monitoring, and network protocols.

🔹Professional Profile:

Google Scholar Profile

🎓Education Background

  • Ph.D. in Wireless Networks – Curtin University, Sarawak, Malaysia (2019 – Present)

  • M.E. in Computer Science and Engineering – PSNA College of Engineering & Technology, Dindigul, Anna University, Chennai (2007) – First Class

  • B.E. in Computer Science and Engineering – Sri Padmavathy College of Engineering, Madras University (2004) – First Class

💼 Professional Development

Dr. Lakshmanaprakash has served as a faculty member in several prestigious engineering colleges. Currently, he is an Associate Professor at Bannari Amman Institute of Technology, Sathyamangalam, where he has been teaching since 2020. Prior to this, he served as Assistant Professor at Vivekanandha College of Technology for Women and St. Peter’s College of Engineering & Technology. His career began as a Lecturer at RVS College of Engineering & Technology. He has handled various subjects such as Data Structures, Algorithms, Cryptography, and Network Security. With a rich background in both teaching and research, he has demonstrated excellence in educating future engineers while contributing to cutting-edge research in his field.

🔬Research Focus

Dr. Lakshmanaprakash’s primary research interests lie in wireless networks, cybersecurity, machine learning, and deep learning. He focuses on improving data dissemination techniques in vehicular networks, enhancing cybersecurity through machine learning, and developing efficient algorithms for healthcare monitoring. His work on vehicular ad hoc networks (VANETs) and his innovative contributions to the Internet of Medical Things (IoMT) have garnered significant academic attention. Additionally, he explores applications of machine learning in healthcare diagnostics and emergency response systems.

📈Author Metrics:

Dr. Lakshmanaprakash has authored several notable publications in peer-reviewed journals and conferences. His recent work includes articles in high-impact journals such as Measurement and Network: Computation in Neural Systems by Taylor & Francis. He has also contributed to numerous international conferences, presenting papers on machine learning, healthcare systems, and network security. His book chapters, including those on biometric security and quantum computing, have been well-received in the academic community. Additionally, Dr. Lakshmanaprakash serves as a reviewer for reputable journals like the Journal of Cyber Security Technology.

🏆Awards and Honors:

Dr. Lakshmanaprakash has earned several accolades for his contributions to academia and research. Some of his notable honors include:

  • Expert in Cybersecurity at the BRICS Skill Competition 2022.

  • Advisor Board Member of the Tamil Nadu Cyber Crime Awareness Organization (TANCCAO).

  • Recognition for his research work in healthcare monitoring systems and machine learning techniques.

  • Successful collaboration with Hackup Technology and Xplore IT Corp., leading to the establishment of cyber security cells at Bannari Amman Institute of Technology.

  • Member of various professional organizations, including ISTE and IACSIT.

  • Coordinator for placement activities and NBA-related tasks within the department.

  • Leadership in organizing National-Level Technical Symposiums at Bannari Amman Institute of Technology.

📝Publication Top Notes

1. Effective Heart Disease Prediction Using Hybrid Machine Learning

  • Authors: A Pandiaraj, SL Prakash, PR Kanna
  • Published: 2021, Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2021)
  • Focus: This paper discusses the application of hybrid machine learning algorithms for predicting heart disease, enhancing the accuracy of predictions using an integrated approach.

2. Artificial Intelligent Techniques for Wireless Communication and Networking

  • Authors: R Kanthavel, K Anathajothi, S Balamurugan, RK Ganesh
  • Publisher: John Wiley & Sons
  • Published: 2022
  • Focus: This work delves into the use of artificial intelligence techniques in wireless communication, providing insights into how AI can improve the efficiency and performance of networking systems.

3. Generating Art and Music Using Deep Neural Networks

  • Authors: A Pandiaraj, SL Prakash, R Gopal, PR Kanna
  • Published: Artificial Intelligent Techniques for Wireless Communication and Networking (2022)
  • Focus: This paper explores the use of deep neural networks in generating art and music, demonstrating the capability of AI in creative domains and the intersection of technology with the arts.

4. Edge Computing and Deep Learning Based Urban Street Cleanliness Assessment System

  • Authors: P Nagaraj, S Lakshmanaprakash, V Muneeswaran
  • Published: 2022, International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI 2022)
  • Focus: This study integrates edge computing and deep learning techniques to develop a system for assessing urban street cleanliness, showcasing the application of AI and IoT for smart city management.

5. Quantum Computation, Quantum Information, and Quantum Key Distribution

  • Authors: D Mohanaprabhu, SP Monish Kanna, J Jayasuriya, S Lakshmanaprakash, et al.
  • Published in: Automated Secure Computing for Next-Generation Systems, 2024 (pp. 345-366)
  • Focus: This chapter focuses on quantum computation, quantum information, and quantum key distribution, exploring their potential in enhancing cybersecurity and secure computing systems for next-generation technology.

Conclusion:

Dr. Lakshmanaprakash S has demonstrated an exceptional blend of academic excellence, research innovation, and real-world impact. His ability to bridge the gap between theoretical research and practical applications, particularly in cybersecurity, wireless networks, and machine learning, makes him a strong contender for the Best Researcher Award.

His continued dedication to teaching, researching emerging fields, and expanding cross-disciplinary collaborations, alongside his influential publications and leadership roles, positions him as one of the leading researchers in his domain. With a few more collaborations and expansions into cutting-edge areas like quantum computing and AI ethics, his research can reach even greater heights, making a transformative impact on society.

Overall, Dr. Lakshmanaprakash’s well-rounded contributions, innovative research, and leadership in technology and education are commendable, and he deserves to be considered for the Best Researcher Award

Sowrov Komar Shib | Renewable Energy | Young Researcher Award

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Mr. Sowrov Komar Shib | Renewable Energy | Young Researcher Award

Research Assistant, American International University-Bangladesh (AIUB), Bangladesh

Sowrov Komar Shib is an ambitious and driven Electrical and Electronics Engineering student at American International University-Bangladesh (AIUB), with a focus on IoT, renewable energy systems, power electronics, and VLSI design. Recognized for his award-winning ideas and research, Sowrov has published and presented papers at international conferences. He is passionate about advancing technology through collaborative leadership, innovation, and lifelong learning.

🔹Professional Profile:

Google Scholar Profile

🎓Education Background

Bachelor of Science in Electrical and Electronics Engineering (EEE)
American International University-Bangladesh (AIUB)
January 2021 – Present (Expected Graduation: May 2025)
CGPA: 3.94/4.00
Relevant Courses: Power System Analysis, Renewable Energy Systems, Digital System Design, Programming Language, VLSI, Telecommunication Engineering

💼 Professional Development

  • Research Assistant at ReGED (Dec 2023 – Nov 2024)
    Collaborated on renewable energy integration research, which led to an IEEE publication. Designed simulations using MATLAB, Python, and Simulink, contributing to data analysis and presentation of findings.

  • General Student Member at IEEE AIUB Student Branch (Sep 2023 – Present)
    Actively participated in networking, technical workshops, webinars, and publication initiatives with fellow members and professionals in Electrical and Electronics Engineering.

🔬Research Focus

Sowrov has authored several papers in notable international conferences and journals. His most recent work, “Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development,” is under review with Elsevier, highlighting his research on sustainable energy solutions. He has also presented at IEEE TENCON 2024 and SAGE-Grace 2024, further showcasing his contributions to the field of renewable energy.

📈Author Metrics:

Sowrov has authored several papers in notable international conferences and journals. His most recent work, “Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development,” is under review with Elsevier, highlighting his research on sustainable energy solutions. He has also presented at IEEE TENCON 2024 and SAGE-Grace 2024, further showcasing his contributions to the field of renewable energy.

🏆Awards and Honors:

  • Dean’s Awards for outstanding academic performance (Multiple semesters)

  • Magna Cum Laude (Silver Medal) – Graduating with distinction from AIUB, Class of 2025 (Expected)

  • 70% Academic Scholarship for consistent excellence

  • Best Paper Award at UMYGRACE 2024, Indonesia for “Smart IoT-enabled Solar Power Supervision and Regulation System”

  • VLSI Competition at MindSpark23 – Secured 5th Position in a national-level competition

  • IEEE TENCON 2024, SAGE-Grace 2024, ICA-SYMP’2025, and I-Coste 2024 – Accepted and presented papers in international conferences.

📝Publication Top Notes

1. IoT-based Smartgrid System for Continuous Power Supply in Smart Cities

  • Authors: SK Shib, DR Dipto, MTI Mim, MA Islam, R Akter, A Shufian
  • Conference: 2024 3rd International Conference on Advancement in Electrical and Electronics Engineering
  • Year: 2024
  • Abstract: This paper explores the potential of IoT technologies in smart grids for ensuring continuous and reliable power supply in smart cities. It discusses the integration of IoT-based solutions to monitor, control, and manage power distribution efficiently, thereby enhancing the resilience and sustainability of urban power systems.

2. Smart IoT-enabled Solar Power Supervision and Regulation System

  • Authors: SK Shib, MT Rahman, DR Dipto, A Shufian, MSR Zishan, R Basak
  • Publication: BIO Web of Conferences 144, 02004
  • Year: 2024
  • Abstract: The paper presents an IoT-enabled solar power supervision and regulation system. It discusses the use of IoT sensors to monitor the performance of solar power systems in real-time and regulate their output to optimize energy distribution. This system is especially useful for integrating renewable energy sources into the grid efficiently.

3. Design and Feasibility of Off-Grid Photovoltaic Charging Stations for EVs in Remote Areas

  • Authors: MI Hossain, SK Shib, DR Dipto, T Banik, A Shufian, MMH Emon
  • Conference: 2024 International Conference on Innovation and Intelligence for Informatics and Computing
  • Year: 2024
  • Abstract: This research investigates the design and feasibility of off-grid photovoltaic (solar) charging stations for electric vehicles (EVs) in remote areas. The study highlights the potential of using renewable energy in areas with limited access to grid electricity, providing an eco-friendly and sustainable solution for electric vehicle charging.

4. Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development

  • Authors: A Shufian, MT Rahman, SK Shib, DR Dipto, S Kabir, SA Fattah
  • Publication: Cleaner Energy Systems 10, 100172
  • Year: 2025
  • Abstract: This paper proposes a carbon-free advanced power network (CAPN) for Bangladesh, aiming to transition the country toward sustainable energy solutions. It discusses the pathways to integrate renewable energy sources into the national grid, with a focus on policy recommendations, technical challenges, and the economic impact of such a transition.

5. Fuzzy Logic-controlled Three-phase Dynamic Voltage Restorer for Enhancing Voltage Stabilization and Power Quality

  • Authors: A Shufian, SK Shib, DR Dipto, MT Rahman, N Hannan, SA Fattah
  • Publication: International Journal of Electrical Power & Energy Systems 166, 110517
  • Year: 2025
  • Abstract: This research introduces a fuzzy logic-controlled three-phase dynamic voltage restorer (DVR) designed to improve voltage stabilization and power quality in electrical systems. The paper presents the design and simulation results for a DVR that uses fuzzy logic to dynamically adjust the voltage to compensate for power quality issues, ensuring stable and reliable power delivery.

Conclusion:

Sowrov Komar Shib is a highly deserving candidate for the Young Researcher Award based on his exceptional academic record, innovative research contributions, and demonstrated passion for renewable energy and smart grid systems. His work not only advances the field of electrical and electronics engineering but also contributes to global sustainability efforts, particularly in renewable energy integration and IoT-based power solutions. With a strong foundation and the potential for further development, Sowrov’s research will undoubtedly continue to shape the future of energy systems.

To maximize his potential, focusing on broadening his research collaborations, increasing practical applications of his work, and publishing in high-impact journals will allow him to refine his skills and make an even greater impact in his field.

Eduardo Nassar | Chemistry | Best Researcher Award

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Prof. Dr. Eduardo Nassar | Chemistry | Best Researcher Award

Eduardo Nassar, Universidade de Franca, Brazil

Professor Eduardo José Nassar is a distinguished Brazilian chemist with extensive experience in advanced material synthesis, particularly in luminescent materials and sol-gel processes. With over three decades in academia and research, he has made significant contributions to the fields of functional materials, nanotechnology, and green chemistry. He currently supervises multiple master’s and doctoral theses and has authored numerous international publications and book chapters. His work spans applications from LEDs and solar cells to drug delivery and bioluminescent markers.

🔹Professional Profile:

Google Scholar Profile

🎓Education Background

Professor Nassar obtained his Bachelor’s degree in Chemistry from Universidade Paulista Júlio de Mesquita Filho – UNESP in 1Sol-Gel Synthesis986. He pursued his postgraduate studies at the University of São Paulo (USP), where he earned his Master’s degree in 1992 and Ph.D. in Chemistry in 1997. He completed a postdoctoral fellowship at UNESP from 1998 to 2000, further deepening his expertise in material sciences and sol-gel technology.

💼 Professional Development

Throughout his academic career, Professor Nassar has focused on the development of fluorescent nanoparticles and thin films involving rare-earth elements and metal oxides through hydrolytic and non-hydrolytic sol-gel routes. His work finds applications in a wide range of technologies such as LEDs, solar energy systems, optical waveguides, hydrophobic materials, and persistent luminescence. He is currently a research advisor and mentor to several Ph.D. and master’s candidates. His leadership in research has fostered numerous collaborations across Brazil and internationally.

🔬Research Focus

Professor Nassar’s primary research interests lie in the design and synthesis of luminescent and multifunctional materials through sol-gel chemistry, including europium- and terbium-doped materials, hybrid organic-inorganic systems, and environmentally friendly catalysts. He is particularly interested in the interface between materials science and sustainable chemistry, with a focus on drug delivery, photonic applications, and the green oxidation of pollutants and pharmaceuticals.

📈Author Metrics:

Professor Nassar has published extensively in peer-reviewed journals and contributed to more than nine book chapters. His most cited article, on acid and base catalysis in silica sol-gel synthesis, has been cited over 100 times. Other notable works have appeared in Journal of Alloys and Compounds, Journal of Luminescence, Colloids and Surfaces A, and ACS Applied Materials & Interfaces. His author metrics highlight a sustained impact in the fields of luminescent materials and green chemistry, with several articles surpassing 70+ citations.

🏆Awards and Honors:

Professor Nassar has been recognized for his scholarly contributions through various academic appointments and editorial responsibilities. His collaborative works have been featured in prestigious scientific publications and international books by Nova Science Publishers, Springer, and InTech. As a result of his leadership in research and education, he has earned respect in the Brazilian scientific community and among international peers in materials science and nanotechnology.

📝Publication Top Notes

1.  Aluminum-Gadolinium Mixed Oxide Matrixes Doped with Optically Active Lanthanide Ions: Potential Candidates for Biosensing Applications

Authors: JVG de Faria, LM Pontes, BBP Maia, PPA Magrin, NN Silveira, …
Journal: Journal of Luminescence
Publication Date: 2025
DOI: 121210
Summary:
This paper investigates the potential use of aluminum-gadolinium mixed oxide matrixes doped with optically active lanthanide ions as candidates for biosensing applications. The study focuses on the photophysical properties of these materials, particularly their luminescent behavior, which is essential for biosensing. The work discusses how the doping of lanthanide ions enhances the optical performance of the matrixes, making them promising materials for bio-imaging and sensing applications.

2. Multifunctional Nanocomposites Based on Kaolinite/Titania/Iron Applied to Hydrogen Peroxide Production and Bisphenol–A Removal

Authors: MV Do Prado, V Lima, L Oliveira, EJ Nassar, L Marçal, EH de Faria, …
Journal: Applied Clay Science
Publication Date: 2024
DOI: 107622
Summary:
The paper presents a study on multifunctional nanocomposites synthesized from kaolinite, titania, and iron. These nanocomposites are evaluated for their efficiency in hydrogen peroxide production and the removal of bisphenol-A (a toxic contaminant) from water. The results suggest that these composites are highly effective in both applications, showing promise for environmental remediation and the production of reactive oxygen species used in various industrial processes.

3. Antitumoral Action of Carvedilol–A Repositioning Study of the Drug Incorporated into Mesoporous Silica MCM-41

Authors: WR Braz, MGM de Souza, LM da Silva, CB de Azevedo, AB Ribeiro, …
Journal: Nanotechnology
Publication Date: 2024
Volume: 36(5)
DOI: 055703
Summary:
This research explores the repositioning of carvedilol, a drug primarily used for cardiovascular diseases, as an antitumoral agent. The study investigates the incorporation of carvedilol into mesoporous silica MCM-41, which acts as a nanocarrier for the drug. The paper presents the efficacy of the drug-carrier complex in inhibiting tumor cell growth, providing insights into the potential of using carvedilol in cancer treatment.

4. Hydroxyapatite/Polyamide 12 Composite Membrane as Implant in Intracorporeal Sites

Authors: LL de Carvalho, MS Carrijo, LM Pontes, ML Costa, LGGG Dias, …
Journal: Materials Chemistry and Physics
Publication Date: 2024
Volume: 319
DOI: 129371
Summary:
This paper investigates the development of hydroxyapatite/polyamide 12 composite membranes intended for use as implants in intracorporeal sites, such as bone repair. The study examines the biocompatibility, mechanical strength, and degradation rate of the composite membranes, showing that these materials could be ideal candidates for use in medical implants, offering good bioactivity and promoting tissue regeneration.

5. Influence of Yb3+ Percentage on Emission of Er3+ Doped into GdVO4 Matrix

Authors: MF Ferreira, JVG de Faria, LM Pontes, MGM Crespi, LA Rocha, EJ Nassar
Journal: Journal of Applied Physics
Publication Date: 2024
Volume: 135(10)
Summary:
This study focuses on the influence of Yb3+ doping on the emission properties of Er3+ ions in a GdVO4 matrix. The paper details the impact of different Yb3+ percentages on the luminescence of the material, which has potential applications in optical devices such as lasers and light-emitting diodes. The findings contribute to the understanding of how codoping can enhance the optical performance of these materials, making them more efficient for use in various photonic applications.

Conclusion:

Professor Eduardo José Nassar stands out as an exceptional candidate for the Best Researcher Award due to his extensive and impactful contributions to the field of chemistry. His decades of research, mentorship, and innovation in luminescent materials, nanotechnology, and green chemistry have had a profound impact on both academia and industry. His work not only addresses fundamental scientific questions but also opens up new possibilities for environmental sustainability, medical applications, and energy efficiency.

While there are areas for further engagement, particularly in commercialization and public outreach, Professor Nassar’s legacy as a scholar and mentor is undeniable. His consistent ability to produce groundbreaking work, combined with his dedication to scientific leadership and mentorship, makes him a deserving candidate for recognition as a Best Researcher Award recipient