Saeedeh Kamali | Atmospheric Science | Best Researcher Award

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Posted on by usudeeparya

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

Lin Yu Rou |  Machine Learning | Best Researcher Award

Posted on by usudeeparya

Ms. Lin Yu Rou |  Machine Learning | Best Researcher Award

Software Development Engineer, China Trust Commercial Bank, Taiwan

Yuruo Lin is a passionate researcher and aspiring data scientist with a strong foundation in information and finance management. With hands-on experience in data analytics, machine learning, and healthcare informatics, she actively engages in interdisciplinary research projects, focusing on practical applications that merge technology and social impact. Her academic journey is marked by leadership, innovation, and a commitment to empowering communities through data-driven solutions.

🔹Professional Profile:

Orcid Profile

🎓Education Background

  1. Master’s in Information and Finance Management
    National Taipei University of Technology, Taiwan
    Sep 2022 – Jun 2024

    • Honorable Mention in 2023 Capstone Project Competition

    • Participant in “STEM & Female Research Talent Cultivation Program (2022)”

  2. Bachelor’s in Information Management
    National Taipei University of Nursing and Health Sciences, Taiwan
    Sep 2018 – Jun 2022

    • 2nd Place, 2021 National Collegiate Information Application Innovation Competition

    • Published research on the impact of COVID-19 on hospital quality

    • President, IT Volunteer Club; led USR project and received Outstanding Club and Officer Scholarship

💼 Professional Development

Yuruo has collaborated on diverse academic and practical research projects, combining statistical methods with machine learning and data visualization to address real-world problems. She developed predictive models for ESG performance using ensemble learning, analyzed hospital service quality amid the COVID-19 pandemic, and experimented with algorithmic trading strategies. Her work spans financial analytics, public health equity, and VR-based elderly care solutions.

🔬Research Focus

  • Data Science and Machine Learning

  • Financial and Investment Analytics

  • Healthcare Informatics and Public Health Data

  • Human-Computer Interaction (HCI)

  • Media Analytics for ESG Performance

  • Social Impact Technology (VR, USR Projects)

📈Author Metrics:

Yuruo Lin is the first author of a peer-reviewed research article titled “How can media attention reveal ESG improvement opportunities? A multi-algorithm ML-based approach for Taiwan’s electronics industry,” published in the Elsevier journal Expert Systems with Applications in 2025. This journal is indexed in SCI and Scopus, with a strong impact factor in the fields of artificial intelligence and applied computing. Her publication explores media-driven ESG analytics using ensemble machine learning and clustering techniques, demonstrating both technical depth and relevance to sustainability research. The work has garnered academic attention and serves as a foundation for her growing research profile in data science and ESG modeling.

🏆Awards and Honors:

  • Honorable Mention – 2023 Capstone Project Competition, NTUT

  • 2nd Place – 2021 National Collegiate Information Application Innovation Competition (VR Therapy)

  • Outstanding Club Leadership – IT Volunteer Club, USR Project, Ministry of Education

  • Multiple Awards – National Innovation Proposal Competitions (2020–2021)

  • Scholarship – Officer Scholarship for Club Leadership

📝Publication Top Notes

1. How can media attention reveal ESG improvement opportunities? A multi-algorithm machine learning-based approach for Taiwan’s electronics industry

Journal: The North American Journal of Economics and Finance
Publisher: Elsevier
Publication Date: May 2025
DOI: 10.1016/j.najef.2025.102431
ISSN: 1062-9408
Contributors: Shu Ling Lin, Yu Rou Lin, Xiao Jin
Indexing: Scopus, SSCI
Abstract Summary:
This study applies ensemble machine learning algorithms—including Naive Bayes, Support Vector Machines, Random Forest, and Neural Networks—combined with clustering and semi-supervised learning to investigate how media attention can serve as a predictive signal for ESG performance changes in Taiwan’s electronics industry. The findings highlight the potential of media-driven analytics in enhancing ESG investment strategies and corporate monitoring.

2. Exploring the Relationship between Corporate ESG Ratings and Media Attention through Machine Learning: Predictive Model for the Taiwanese Electronics Industry

Author: Yu Rou Lin
Institution: National Taipei University of Technology
Degree: Master’s in Information and Finance Management
Status: Completed (June 2024)
Contribution: Original draft, research design, and full implementation of machine learning pipeline
Focus: The thesis investigates the correlation between ESG ratings and media sentiment, using real market data and various machine learning models, and serves as the foundational research for the later published journal article.

Conclusion:

In summary, Ms. Yu Rou Lin is an outstanding candidate for the Best Researcher Award in Machine Learning. Her work exemplifies the fusion of technical rigor and societal relevance, with achievements that reflect intellectual curiosity, practical application, and academic leadership.

Her potential for future growth is immense, especially as she continues to refine her research contributions and engage with global scientific communities.

MD Tanvir Rahman | Renewable energy | Best Researcher Award

Posted on by usudeeparya

Mr. MD Tanvir Rahman | Renewable energy | Best Researcher Award

MD Tanvir Rahman, American International University – Bangladesh, Bangladesh

🎓 Md Tanvir Rahman is a dynamic Electrical and Electronic Engineering graduate from AIUB, Bangladesh 🇧🇩, with a stellar academic record and a passion for innovation in renewable energy ⚡, VLSI design 💻, and embedded systems 🤖. With hands-on experience in FPGA programming, sensor integration, and power systems, he has led impactful student initiatives, authored numerous publications 📚, and presented at international conferences 🌍. His vision blends technology and sustainability 🌱, making him a rising star in green engineering and smart solutions. A natural leader and lifelong learner 🌟, Tanvir is committed to shaping a smarter, cleaner future through research and development. 🔬

Professional Profile:

Scopus

Suitability For Best Researcher Award

Md Tanvir Rahman is a highly suitable candidate for the Best Researcher Award due to his remarkable academic achievements, innovative research contributions, and leadership in the field of Electrical and Electronic Engineering. His expertise spans renewable energy, VLSI design, smart grid technology, and embedded systems, positioning him as a promising researcher and future leader in green engineering and sustainable technology.

🔹 Education & Experience 

🎓 Education:

  • 🧠 B.Sc in EEE – AIUB (2025) | CGPA: 3.93 ⭐

  • ⚙️ Diploma in Mechatronics Engineering – Magura Polytechnic Institute (2020) | CGPA: 3.77

  • 📘 SSC in Science – Bheramara Pilot High School (2015) | CGPA: 4.39

💼 Experience:

  • 🚧 Internship: Energypac Power Generation PLC (Diesel Generator & ATS), Feb 2025

  • 🦺 Safety Training: Samsung C&T Safety Academy

  • 📢 Team Lead: IEEE AIUB Student Branch (Mar 2022 – Sept 2023)

🔹 Professional Development

🌱 Tanvir Rahman has actively pursued professional growth through internships, workshops, and leadership roles. His technical exposure spans Arduino programming 🤖, VLSI design using Cadence 🧩, and IoT integration for real-world solutions 🌐. As team lead of IEEE AIUB Student Branch, he orchestrated large-scale events, fostering academic-industry collaboration 🤝. Tanvir has completed training in AI 🤖, nanotechnology 🧪, and safety protocols 🚧, showcasing his well-rounded skill set. His passion for sustainable technology, teamwork, and public speaking 🎤 has helped him build a solid foundation in both technical and leadership domains. He continues to explore new tools and ideas to stay future-ready 🚀.

🔹 Research Focus Category 

🔬 Tanvir Rahman’s research focus lies in Renewable Energy Systems 🌞, Smart Grid Technology ⚡, and VLSI-based Digital Design 💻. His projects explore underwater robotics 🤿, wireless power transmission 🔋, and intelligent automation systems using sensors and microcontrollers 🧠. He integrates AI 🧠 and fuzzy logic into power systems for better voltage regulation and environmental sustainability 🌍. His current capstone research on Unmanned Underwater Vehicles 🌊 merges object detection, 3D mapping, and ecological monitoring. His work reflects a drive to blend hardware-software systems with smart, energy-efficient solutions 🔧, contributing toward greener, smarter infrastructures 🌱.

🔹 Awards and Honors

🏆 Awards & Honors:

  • 🥇 Best Paper Award – Bio Web Conference & ICREST 2025

  • 🌐 International Conference Presenter – Recognized for communication excellence

  • 🧑‍💼 Leadership & Mentorship – IEEE AIUB Student Branch, Team Lead

  • 🧠 Published 22+ Conference Papers in Renewable Energy & Power Systems

  • 🥈 High CGPA Holder – AIUB & Diploma Level

  • 🤝 Secured Sponsorships & Collaborations – IEEE AIUB Events

Publication Top Notes:

Title: Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development
Journal: Cleaner Energy Systems
Publication Year: 2025
Authors: A. Shufian, M. Tanvir Rahman, S.K. Shib, N. Mohammad, M.A. Mannan

🔍 Summary in Simple Terms:

This article explores sustainable energy solutions for Bangladesh, specifically focusing on developing a Carbon-free Advanced Power Network (CAPN). The goal is to transition towards clean energy and reduce carbon emissions, which are crucial for tackling climate change and ensuring a sustainable future.

Conclusion:

Md Tanvir Rahman is a highly deserving candidate for the Best Researcher Award. His contributions to renewable energy systems and smart grid technology, combined with his leadership role in IEEE AIUB and his innovative research on underwater robotics, showcase his dedication to both technological innovation and sustainability. Tanvir’s commitment to blending hardware and software solutions to create smarter, greener infrastructures makes him a promising researcher, poised to make significant contributions in the years to come.

NATALIA ZAKHAROVA |  Brain tractography data  | Best Researcher Award

Posted on by usudeeparya

Assist. Prof. Dr. NATALIA ZAKHAROVA |  Brain tractography data  | Best Researcher Award

Leading Researcher at The Institute of Personalized Psychiatry and Neurology, St Petersburg V. M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Russia

Dr. Natalia Zakharova is a highly accomplished psychiatrist and neuroscientist with extensive clinical and academic experience. She currently serves as the Head of the Laboratory for Fundamental Research Methods at the Center of Neuropsychiatry, Mental-Health Clinic No. 1 named after N.A. Alexeev, under the Moscow Healthcare Department. Her work integrates psychiatric practice with innovative approaches in clinical research, genetics, and neuropsychiatric treatment.

🔹Professional Profile:

Scopus

Orcid

🎓Education Background

Dr. Zakharova earned her M.D. from Volgograd State Medical University in 2004 and completed a clinical internship in psychiatry at the Sechenov Moscow Medical Academy in 2005. She pursued postgraduate studies at the Research Center for Mental Health and defended her Ph.D. dissertation in 2015 on “Remissions in recurrent depressive disorder (epidemiology, typological differentiation, therapy).”

💼 Professional Development

Dr. Zakharova has held multiple leadership and research roles across prestigious institutions. Since 2021, she has led the Laboratory for Fundamental Research Methods at the Mental-Health Clinic No. 1. From 2017 to 2021, she was a senior researcher at the Education Center of the same clinic. Earlier, she served as an assistant professor in psychiatry and medical psychology at the Russian National Research Medical University and as a researcher at the Scientific Center for Mental Health. In parallel, she acted as a scientific consultant for the xGenCloud project and coordinated the “PsyGenCheck” program. Clinically, she has worked as a practicing psychiatrist since 2005, including in emergency psychiatric services.

🔬Research Focus

Her research focuses on recurrent depressive disorders, clinical genetics in psychiatry, psychosomatic disorders, borderline mental pathology, transcranial magnetic stimulation, and qualitative research methodology. She has contributed to initiatives involving psychiatric genomics and the automation of genetic test interpretation.

📈Author Metrics:

  • RSCI Publications: 90

  • RSCI Citations: 224

  • RSCI Hirsch Index: 7

  • Scopus Publications: 54

  • Scopus Hirsch Index: 8

🏆Awards and Honors:

  • Recognized by the Moscow Department of Health with multiple commendations.

  • Psychiatrist of the highest qualification category.

  • Author of a registered database on depression relapse and remission (No. 2015620683).

  • Holds multiple certifications in advanced psychiatry, clinical research methodology, medical education, and neuromodulation techniques.

📝Publication Top Notes

  • Veǐko, N.N., Ershova, E.S., Kondratyeva, E.I., Zakharova, N.V., Kostyuk, S.V.
    Title: Copy Number Variations of Human Ribosomal Genes in Health and Disease: Role and Causes
    Journal: Frontiers in Bioscience, 2025
    Topic: Genetic mechanisms in neuropsychiatric disorders, ribosomal gene variation
    Citations: 0 (as of now)

  • Zhemchuzhnikov, A.D., Kartashov, S.I., Kozlov, S.O., Mamedova, G.S., Kaydan, M.A.
    Title: The Search for the Most Informative Areas for the Binary Classification of Schizophrenia Using Resting fMRI Data Based on a Method for Extracting Functionally Homogeneous Areas
    Journal: Neuroscience and Behavioral Physiology, 2025
    Topic: Resting-state fMRI biomarkers in schizophrenia
    Citations: 0

  • Zhemchuzhnikov, A.D., Kartashov, S.I., Kozlov, S.O., Mamedova, G.S., Kaydan, M.A.
    Title: On Most Informative Regions for Binary Classification of Schizophrenia Based on Resting State fMRI Data Done by Selection of Functionally Homogeneous Regions Method
    Journal: Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I.P. Pavlova, 2024
    Topic: Computational neuroimaging in schizophrenia classification
    Citations: 0

  • Zakharova, N.V., Bravve, L.V., Mamedova, G.S., Skurinova, M., Oshevsky, D.S.
    Title: Personal Dimensions in First Psychotic Episode Patients with Catatonia
    Type: Conference Paper
    Topic: Personality traits and clinical features in catatonic psychosis
    Citations: 0

  • Bravve, L.V., Mamedova, G.S., Kaydan, M.A., Zaborin, A.S., Zakharova, N.V.
    Title: Magnetic Resonance Imaging in the Study of Catatonia: Use of DWI and Resting State fMRI
    Journal: Psychiatry (Moscow), 2024
    Topic: Neuroimaging techniques in catatonia research
    Citations: 0

Conclusion

Dr. Natalia Zakharova is an outstanding candidate for the Best Researcher Award, exemplifying excellence in interdisciplinary psychiatric research, clinical innovation, and leadership. Her work bridges genomic science, neuroimaging, and psychiatry with practical clinical application, making her contributions both scientifically impactful and clinically meaningful.

Her recognition would not only honor her current achievements but also encourage continued leadership in the future of personalized psychiatry. With modest enhancements in international engagement and outreach, she is poised to become a globally recognized leader in neuropsychiatric research.

➡️ Recommendation: Strongly recommended for the award.