Snehal Laddha | Medical Image Analysis | Best Researcher Award

Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

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INTRODUCTION ๐ŸŒŸ

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS ๐Ÿ“š

Snehalโ€™s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS ๐Ÿ‘ฉโ€๐Ÿซ

Snehalโ€™s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON MEDICAL IMAGE ANALYSIS๐Ÿ’ก

A passionate researcher, Snehalโ€™s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE ๐ŸŒ

Snehalโ€™s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“‘

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS ๐Ÿ†

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS ๐ŸŒฑ

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE โœจ

Ms. Snehal Laddhaโ€™s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS ๐Ÿ“š

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Qurban Ali | Genetics | Best Researcher Award

Assist Prof Dr. Qurban Ali | Genetics | Best Researcher Award

University of the Punjab, Lahore | Pakistan

Publication Profile

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INTRODUCTION ๐Ÿ“š

Dr. Qurban Ali, an esteemed academic in the field of Plant Genetics, currently serves as an Assistant Professor in the Department of Plant Breeding and Genetics at the University of the Punjab, Lahore. His contributions span over two decades, with a remarkable academic and professional trajectory. Dr. Ali has demonstrated his commitment to advancing research in agricultural sciences, particularly in genetics, molecular biology, and biotechnology. His work is widely recognized for its impact on both local and global agricultural development.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Qurban Ali’s academic journey began in Pakistan, where he completed his early schooling in science at the Board of Intermediate & Secondary Education, Lahore. After pursuing a Pre-Medical stream in HSSC, he continued his education at the University of Agriculture, Faisalabad, where he earned a B.Sc. (Hons.) and M.Sc. (Hons.) in Plant Genetics. His doctoral research, completed in 2014, focused on the genetic evaluation of maize accessions for grain and fodder yield, paving the way for his future academic contributions.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

Dr. Ali has held several prestigious positions at renowned institutes and universities, including Assistant Professor at the University of the Punjab and Associate Professor at the University of Lahore. With a comprehensive background in molecular biology and biotechnology, he has significantly advanced research in these fields through his roles in academic and research organizations.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON Genetics ๐Ÿ”ฌ

His primary research areas include plant genetics, molecular breeding, and biotechnology, with notable expertise in DNA/RNA extraction, cloning, gene transformation, protein purification, and more. Dr. Aliโ€™s work has provided substantial advancements in understanding the genetic variability and association of traits in crops like maize and chickpea, contributing to improved agricultural practices.

IMPACT AND INFLUENCE ๐ŸŒ

Dr. Aliโ€™s research has had a lasting influence on both academia and the agricultural industry. His work has contributed to the scientific communityโ€™s understanding of plant genetics and the application of advanced molecular techniques to solve agricultural challenges. As a highly cited researcher, he has been recognized for his contributions to improving crop yield and genetic enhancement.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“

With a cumulative impact factor of 350, Dr. Aliโ€™s academic output includes numerous publications, making him a prominent figure in plant breeding and genetics. His citation indices reflect his extensive influence in the scientific community, with 6,753 total citations and an h-index of 43. Dr. Aliโ€™s scholarly work continues to shape the field and inspire future research.

HONORS & AWARDS ๐Ÿ…

Dr. Ali has been honored with prestigious awards for his outstanding research productivity. These accolades include the โ€œResearch Productivity as Eminent Researcher of the Yearโ€ award for five consecutive years (2019-2023) from the University of Lahore and the University of the Punjab, Lahore. Such recognition underscores his dedication to advancing agricultural science.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿ”ฎ

Dr. Aliโ€™s legacy as an academic and researcher is solidified through his numerous publications, contributions to the development of plant genetics, and mentorship of students and researchers. Looking forward, he aims to continue advancing his research in molecular biology and genetics, with an emphasis on sustainable agricultural practices and crop improvement.

FINAL NOTE โœจ

Dr. Qurban Ali stands as a trailblazer in the field of Plant Genetics, whose research has not only contributed to scientific understanding but has also led to practical solutions for agricultural improvement. His unwavering commitment to excellence continues to guide the next generation of researchers in the field.

TOP NOTES PUBLICATIONS ๐Ÿ“š

Advances in CRISPR/Cas9 technology: shaping the future of photosynthetic microorganisms for biofuel production
  • Authors: Samreen Arshad, Muhammad Luqman Qadir, Nazim Hussain, Qurban Ali, Shiming Han, Daoud Ali, Suleyman Allakhverdiev
    Journal: Functional Plant Biology
    Year: 2025
    DOI: 10.1071/FP24255
Antibacterial potential of Propolis: molecular docking, simulation and toxicity analysis
  • Authors: Shabana Islam, Erum Akbar Hussain, Shahida Shujaat, Muhammad Umer Khan, Dr. Qurban Ali, Saif Ul Malook, Daoud Ali
    Year: 2024
    DOI: 10.6084/m9.figshare.26315515
ย Silibinins and curcumin as promising ligands against mutant cystic fibrosis transmembrane regulator protein
  • Authors: Areeba Akram, Azra Sakhawat, Muhammad Usman Ghani, Muhammad Umer Khan, Raima Rehman, Dr. Qurban Ali, Peng Jin-liang, Daoud Ali
    Year: 2024
    DOI: 10.6084/m9.figshare.26752912
Additional file 2 of Antibacterial potential of Propolis: molecular docking, simulation and toxicity analysis
  • Authors: Shabana Islam, Erum Akbar Hussain, Shahida Shujaat, Muhammad Umer Khan, Dr. Qurban Ali, Saif Ul Malook, Daoud Ali
  • Journal: figshare (DataCite)
  • Year: 2024
  • DOI: 10.6084/m9.figshare.26315699.v1
Genome-wide identification of Cytochrome P450 gene in Fall Armyworm (Spodoptera frugiperda) in response to insecticide resistance
  • Authors: Shabana Islam, Erum Akbar Hussain, Shahida Shujaat, Muhammad Umer Khan, Dr. Qurban Ali, Saif Ul Malook, Daoud Ali
  • Journal: figshare (DataCite)
  • Year: 2024
  • DOI: 10.6084/m9.figshare.26315699.v1

 

Olivier Donfouet | intelligence artificielle | Best Scholar Award

Dr. Olivier Donfouet | intelligence artificielle | Best Scholar Award

Universitรฉ de Dschang/Cameroun | Cameroon

Publication Profile

Scopus

๐ŸŒ Dr. Olivier Donfouet: Bridging Mathematics, AI, and Agriculture ๐Ÿš€

INTRODUCTION ๐Ÿ“š

Dr. Olivier Donfouet is a distinguished mathematical economist, researcher, and entrepreneur dedicated to leveraging Artificial Intelligence (AI) to transform agricultural practices in Africa. With a strong background in mathematical economics, project management, and technology-driven solutions, he has contributed significantly to both academia and industry. His expertise spans economic modeling, agricultural innovation, and AI-driven research, making him a key figure in sustainable agricultural development.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Donfouet’s academic journey began at Universitรฉ de Dschang, where he earned a Ph.D. in Mathematical Economics. His foundational studies included a Masterโ€™s and Bachelor’s degree in the same field, equipping him with advanced skills in economic analytics, statistical modeling, and AI applications in economics. His academic excellence was complemented by hands-on experiences with data analysis software such as Stata, SPSS, and LaTeX.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

Dr. Donfouet has amassed diverse professional experiences, including:
โœ” Academic Internship at the International Center for Artificial Intelligence in Morocco
โœ” Drone Technology Training for Agricultural Innovation
โœ” Lecturing & Mentorship at Universitรฉ de Dschang
โœ” Entrepreneurship in Sustainable Product Development
โœ” Active Participation in International Conferences on AI & Gender Equality

Beyond academia, he is recognized as an entrepreneur and business leader, having successfully developed eco-friendly mosquito-repellent candlesโ€”a project that earned him national recognition and innovation awards.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON INTELLIGENCE ARTIFICIELLE๐Ÿ”ฌ

Dr. Donfouetโ€™s research focuses on AIโ€™s impact on agricultural productivity, gender equality, and sustainability. His notable contributions include:
๐Ÿ”น Investigating AI-driven economic models for sustainable agriculture
๐Ÿ”น Exploring ICTโ€™s role in reducing undernourishment in Africa
๐Ÿ”น Analyzing AIโ€™s contribution to empowering women in agriculture
๐Ÿ”น Examining AIโ€™s effect on total factor productivity in agriculture

His innovative approach to precision agriculture and economic modeling makes his work highly relevant to policymakers, researchers, and industry leaders.

IMPACT AND INFLUENCE ๐ŸŒ

Dr. Donfouetโ€™s work extends beyond researchโ€”his influence is seen in:
โœ… Educating the next generation of economists and AI researchers
โœ… Advancing AI applications in African agriculture
โœ… Innovating sustainable solutions for economic development
โœ… Shaping policies through data-driven insights

His leadership in youth mentorship, religious associations, and AI-driven economic policies further cements his influence in both academic and community spheres.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“

Dr. Donfouet has contributed to leading peer-reviewed journals, including:
1๏ธโƒฃ โ€œIs Artificial Intelligence Helping to Empower Women in Agriculture in Africa?โ€ (GeoJournal, 2024)
2๏ธโƒฃ โ€œImpact of AI on Total Productivity of Agricultural Factors in Africaโ€ (Environment, Development and Sustainability, 2024)
3๏ธโƒฃ โ€œHow Important is ICT for Reducing Undernourishment in Africa?โ€ (Telematics and Informatics Reports, 2023)

These publications highlight the intersection of AI, economic growth, and sustainable agriculture.

HONORS & AWARDS ๐Ÿ…

๐Ÿ† 4th Place National Innovation Award (Ministry of Small and Medium Enterprises, Yaoundรฉ)
๐Ÿ† 3rd Place CATI2 Innovation Award (Universitรฉ de Dschang)
๐Ÿ† Recognized AI Researcher at International Conferences
๐Ÿ† Leadership & Entrepreneurship Excellence in Agriculture

FINAL NOTE โœจ

Dr. Olivier Donfouet is a trailblazer in mathematical economics and AI-driven agricultural solutions. His work continues to push the boundaries of economic theory, AI applications, and sustainable innovation, making him a key player in Africaโ€™s digital agricultural revolution.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿ”ฎ

๐Ÿ”ธ Future research on AI-driven solutions for climate-resilient agriculture
๐Ÿ”ธ Advancing economic policies integrating AI for food security
๐Ÿ”ธ Bridging the gap between technological innovations and agricultural practices
๐Ÿ”ธ Mentorship programs for emerging scholars in AI & Economics

TOP NOTES PUBLICATIONS ๐Ÿ“š

Title: Is artificial intelligence helping to empower women in agriculture in Africa?

Authors: Olivier, D., & Ibrahim, N.
Journal: GeoJournal
Year: 2024

Title: Impact of artificial intelligence on the total productivity of agricultural factors in Africa.

Authors: Donfouet, O., & Ngouhouo, I.
Journal: Environment, Development and Sustainability
Year: 2024

Title: How important is ICT for reducing undernourishment in Africa?

Authors: Domguia, E. N., Hymette, L. F. N., Nzomo, J. T., Ngassam, S. B., & Donfouet, O.
Journal: Telematics and Informatics Reports
Year: 2023

Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

Dr. Mohamed Asan Basiri M | Computer Architecture | Best Researcher Award

ย Iiitdm Kurnool | India

Publication Profile

Google Scholar

INTRODUCTION โœจ

Dr. Mohamed Asan Basiri M. is an accomplished academician and researcher in the field of Electronics, Communication, and VLSI architectures. His career has been marked by a relentless pursuit of excellence in high-performance VLSI design, embedded systems, and digital signal processing. Dr. Asanโ€™s significant contributions to the field are reflected in his extensive research, publications, and involvement in advanced training programs. His journey through academia has been an inspiring example of dedication to the advancement of knowledge and technology.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Asan’s academic journey began with his B.E. in Electronics and Communication Engineering, which he completed with distinction at Thanthai Periyar Government Institute of Technology, Vellore. He later pursued an M.E. in Embedded System Technologies at Anna University, Coimbatore, where he achieved an impressive 9.1 CGPA, also with distinction. His passion for research and further specialization in high-performance VLSI architectures led him to pursue a Ph.D. at the Indian Institute of Information Technology Design and Manufacturing, Kancheepuram, under the guidance of leading experts in the field. His doctoral thesis focused on the development of VLSI architectures for discrete transformations, which was awarded in 2016.

PROFESSIONAL ENDEAVORS ๐Ÿง‘โ€๐Ÿ’ป

Dr. Asan has held several prestigious positions during his career, including Assistant Professor at the Department of Electronics and Communication Engineering at IIITDM Kurnool. He also served as a Post-Doctoral Fellow, Senior Project Engineer, and Research Associate at IIT Kanpur, contributing to the cutting-edge research in the fields of VLSI design and embedded systems. His experience spans various roles that have shaped his expertise and allowed him to mentor the next generation of engineers and researchers.

CONTRIBUTIONS AND RESEARCH FOCUS ON COMPUTER ARCHITECTURE ๐Ÿ”ฌ

Dr. Asanโ€™s research focuses on high-performance VLSI architectures, FPGA implementations, image processing, and hardware design for embedded systems. His work on Wiener filters, histogram equalization, and instruction set architecture has been widely recognized in international conferences and journals. He has contributed significantly to the understanding of data parallelism, latency reduction, and computational efficiency in digital signal processing and image processing systems. His research aims to bridge the gap between theoretical algorithms and their practical implementations in hardware systems.

IMPACT AND INFLUENCE ๐ŸŒ

Dr. Asan’s work has had a profound impact on the field of electronics and communication engineering, particularly in the design of VLSI systems and embedded architectures. His contributions have influenced both academic research and industry practices, driving advancements in embedded systems, digital signal processing, and VLSI design. He is regarded as an expert in his field, and his work continues to shape the direction of research in embedded systems and hardware architecture.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“š

Dr. Asanโ€™s research has been widely cited in leading journals and international conferences. His contributions include several papers on high-performance instruction set architectures, FPGA implementations of Wiener filters, and low-latency VLSI designs for image processing. These publications have established him as a leading authority in his field, and his work continues to inspire researchers and engineers worldwide. Some of his notable papers include:

  • “High Performance Instruction-Data Level Parallelism based Instruction Set Architecture in RISC-V”
  • “An Efficient FPGA Implementation of Wiener Filter”
  • “Low Latency VLSI Architecture of Histogram Equalization of Images”
  • “Flexible and High Throughput Designs of Operational Amplifiers”

HONORS & AWARDS ๐Ÿ…

Dr. Asan’s work has been recognized through numerous accolades and awards. His academic achievements and research contributions have earned him respect and recognition from both academic institutions and industry professionals. He has been invited to present at major conferences and has received awards for his innovation in VLSI architectures and embedded systems design.

FINAL NOTE โœ๏ธ

Dr. Asanโ€™s career is a testament to the power of dedication, innovation, and continuous learning. His contributions have left a lasting legacy in the fields of VLSI, embedded systems, and digital signal processing. As he continues to mentor young researchers and work on groundbreaking projects, his influence on the academic community and the tech industry is bound to grow.

LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT ๐Ÿ”ฎ

Dr. Asanโ€™s legacy lies in his ability to merge theoretical knowledge with practical application, and his research continues to shape the future of VLSI and embedded system design. He is poised to make even greater contributions in the years ahead, particularly in the fields of high-performance computing, embedded system technologies, and hardware acceleration. As a mentor, his influence on the next generation of engineers and researchers will continue to be felt for many years to come.

TOP NOTES PUBLICATIONS ๐Ÿ“š

Title: Memory Based Multiplier Design in Custom and FPGA Implementation

Authors: MMA Basiri, SKN Mahammad
Journal: Advances in Intelligent Informatics
Year: 2015

Title: Efficient VLSI architectures of lifting based 3D discrete wavelet transform

Authors: MMA Basiri
Journal: IET Computers & Digital Techniques
Year: 2020

Title: Reconfigurable Hardware Design for Polynomial Galois Field Arithmetic Operations

Authors: H Inumarty
Journal: 2020 24th International Symposium on VLSI Design and Test (VDAT)
Year: 2020

Title: Asynchronous hardware implementations for crypto primitives

Authors: SK Shukla
Journal: Microprocessors and Microsystems
Year: 2019

Title: Efficient hardware-software codesigns of AES encryptor and RS-BCH encoder

Authors: MMA Mohamed Asan Basiri, SK Shukla
Journal: International Symposium on VLSI Design and Test
Year: 2018

Xingchun Wang | Geophysics | Best Researcher Award

Mr. Xingchun Wang | Geophysics | Best Researcher Award

Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang, China

๐Ÿ‘จโ€๐ŸŽ“Professional Profile

๐ŸŽ“ Early Academic Pursuits

Mr. Xingchun Wang began his academic journey at the China University of Mining and Technology and Northwest University, where he built a strong foundation in geophysics and geochemistry. His education laid the groundwork for his passion for advancing earth exploration technologies.

๐Ÿ’ผ Professional Endeavors

Currently serving as an engineer in the Electromagnetic Exploration Research Laboratory at the Institute of Geophysical and Geochemical Exploration (Chinese Academy of Geological Sciences), Mr. Wang specializes in cutting-edge geophysical methodologies. His work focuses on developing and applying three-component transient electromagnetic and high-temperature superconducting transient electromagnetic technologies, significantly contributing to geological and geophysical exploration.

๐ŸŒŸ Contributions and Research Focus

Mr. Wang has made remarkable strides in adapting and improving transient electromagnetic and magnetotelluric methods. His innovative applications in mineral exploration and high-temperature ultra-large transient electromagnetic field technology have achieved significant results, advancing the efficiency and practicality of geophysical surveys. His expertise also extends to solving challenges related to hydrology and geological structures.

๐ŸŒ Impact and Influence

As an active contributor to both research and industry, Mr. Wang has completed three major research projects and collaborated on six consultancy projects, including the prestigious domestic “863” initiative and National Natural Science Foundation projects. His work has been widely recognized, with 40 peer-reviewed publications indexed in SCI and Scopus, five patents, and a co-authored book (ISBN: 9787116064041).

๐Ÿ“Š Academic Citations and Editorial Contributions

Mr. Wangโ€™s research achievements are highly cited in SCI and EI-indexed journals, reflecting the significance of his contributions to geophysics. Additionally, he has collaborated with esteemed colleagues such as Yi Yang, Jie Zhang, Junjie Wu, Qingquan Zhi, Xiaohong Deng, and Lei Li, further cementing his influence in the academic and professional communities.

๐Ÿ› ๏ธ Technical Skills and Expertise

Mr. Wangโ€™s technical proficiency includes advanced applications of transient electromagnetic technology and magnetotelluric methods. His expertise enables practical solutions to complex geological challenges, particularly in mineral resources, hydrology, and geological structure investigations.

๐Ÿ‘จโ€๐Ÿซ Teaching and Knowledge Sharing

Beyond his research, Mr. Wang is committed to knowledge dissemination, contributing to academic and professional growth in geophysics through mentorship, workshops, and publications. His collaborative approach has enriched his field and inspired future geoscientists.

๐Ÿš€ Legacy and Future Contributions

Mr. Wang envisions a future where geophysical technologies address critical challenges in resource exploration and environmental management. His dedication to research innovation and practical applications continues to drive advancements in earth exploration, leaving a lasting legacy in geophysics.

By integrating advanced technologies with practical applications, Mr. Wang exemplifies a visionary researcher committed to enhancing scientific understanding and contributing to the global geophysical community.

๐Ÿ“–Top Noted Publications

Geophysical investigation of the Xiarihamu Cu-Ni-Co deposit and its surrounding areas in East Kunlun, Qinghai Province
  • Authors: Xingchun Wang, Jie Zhang, Yi Yang, Hua Li, Shukuan Wu, Zhi An Wang, Qingquan Zhi, Jinhong Wang, Junjie Wu, Lei Li
  • Journal: Ore Geology Reviews
  • Year: 2024
Exploring Shallow Geological Structures in Landslides Using the Semi-Airborne Transient Electromagnetic Method
  • Authors: Junjie Wu, Du Xiao, Bingrui Du, Yuge Liu, Qingquan Zhi, Xingchun Wang, Xiaohong Deng, Xiaodong Chen, Yi Zhao, Yue Huang
  • Journal: Remote Sensing
  • Year: 2024
The distortion and misinterpretation of TEM responses caused by the IP effect
  • Authors: Qingquan Zhi, Xingchun Wang, Junjie Wu, Xiu Li, Xiaohong Deng
  • Journal: Journal of Geophysics and Engineering
  • Year: 2024
Exploring the geological structure of a large-scale landslide using semi-airborne TEM in the Karst area of southwest China
  • Authors: Junjie Wu, Qingquan Zhi, Xingchun Wang, Xiaohong Deng, Xiaodong Chen, Yi Zhao, Yue Huang, Yuge Liu, Du Xiao
  • Journal: Journal of Geophysics and Engineering
  • Year: 2024
Deep structure and geothermal resource effects of the Gonghe basin revealed by 3D magnetotelluric
  • Authors: Yi Yang, Jie Zhang, Xingchun Wang, Mingxing Liang, Dewei Li, Meng Liang, Yang Ou, Dingyu Jia, Xianchun Tang, Xufeng Li
  • Journal: Geothermal Energy
  • Year: 2024

Muhammad Shahriar Bashar | Material science | Best Researcher Award

Dr. Muhammad Shahriar Bashar, Material science, Best Researcher Award

Doctorate at Bangladesh Council of Scientific and Industrial Research, Bangladesh

Professional Profile

Scopus Profile
Orcid Profile
Summary

Dr. Muhammad Shahriar Bashar is a distinguished Principal Scientific Officer at the Institute of Fuel Research and Development (IERD) within the Bangladesh Council of Scientific and Industrial Research (BCSIR). With over 18 years of expertise in Energy-Nanotechnology and Semiconductor Fabrication, he spearheads the establishment of Bangladesh’s first Thin-film Semiconductor Fabrication Research Laboratory. His pioneering work includes optimizing metal sulfide and oxide thin-film semiconductors, advancing solar cell technologies, and developing energy-efficient devices. Dr. Bashar’s contributions extend to policy formulation in renewable energy and supervising numerous research theses. His accolades include Bangladesh’s first CdTe-based solar cell and innovations in biomass energy, reflecting his commitment to sustainable development and technological advancement.

Education

  • Ph.D.: Department of Physics, Jahangirnagar University, 2022
  • M.Sc.: Applied Physics & Electronics, University of Dhaka, 1999 (First Class)
  • B.Sc. (Honors): Applied Physics & Electronics, University of Dhaka, 1998 (First Class)
  • Higher Secondary School Certificate: Government Science College, Dhaka Board, 1995 (First Division)
  • Secondary School Certificate: Motijheel Model High School, Dhaka Board, 1993 (First Division)

Professional Experience

  • Principal Scientific Officer: Bangladesh Council of Scientific and Industrial Research (BCSIR), since December 19, 2019
  • Senior Scientific Officer: BCSIR, August 04, 2011 – December 19, 2019
  • Scientific Officer: BCSIR, June 15, 2006 – August 03, 2011
  • Scientific Officer: Bangladesh Institute of Nuclear Agriculture (BINA), July 20, 2004 – June 14, 2006

Current Research Focus

Dr. Bashar is primarily engaged in pioneering research and development in the following areas:

  • Thin-film semiconductor fabrication
  • Renewable Energy Technologies
  • Solar cell fabrication
  • Energy auditing and sustainable energy management
  • Biogas digester design
  • Solar panel testing and optimization

Achievements and Contributions

Dr. Bashar has made significant contributions to the field of renewable energy and semiconductor technology, including:

  • Fabrication of 2nd and 3rd generation thin-film solar cells in Bangladesh
  • Development of highly efficient biomass-based cookstoves and biogas digesters
  • Establishment of the largest solar thermal plant and grid-connected photovoltaic power plants in Bangladesh
  • Design and development of various energy-saving devices and technologies

Skills

  • Thin-film semiconductor fabrication
  • Solar radiation measurement
  • Photovoltaics
  • Energy auditing and sustainable energy management
  • Analytical problem solving and simulation
  • Graphics design and troubleshooting

Awards and Recognitions

  • Research Award “Adamma Bangladesh” (2016) for the fabrication of CdTe based thin-film solar cells
  • Special Award from the Dean of the Faculty of Science, University of Dhaka (2001)

๐Ÿ“– Publication Top Noted

Article: Low energy synthesis of crystalline mesoporous aluminosilicate consisting of Na-P1 zeolite derived from coal fly ash

    • Authors: Quddus, M.S., Saha, M., Hasanuzzaman, M., Sharmin, N., Bashar, M.S.
    • Journal: Cleaner Materials
    • Volume: 12
    • Pages: 100247
    • Year: 2024

Article: Combined experimental and first principles look into (Ce, Mo) doped BiVO4

    • Authors: Mahi, T.A., Hossain, Q.S., Nishat, S.S., Irfan, A., Ahmed, I.
    • Journal: Heliyon
    • Volume: 10
    • Issue: 8
    • Pages: e29408
    • Year: 2024

Article: Amplification of photocatalytic degradation of antibiotics (amoxicillin, ciprofloxacin) by sodium doping in nano-crystallite hydroxyapatite

    • Authors: Tarannum, S., Sahadat Hossain, M., Bashar, M.S., Bahadur, N.M., Ahmed, S.
    • Journal: RSC Advances
    • Volume: 14
    • Issue: 18
    • Pages: 12386โ€“12396
    • Year: 2024

Article: Enhancing perovskite solar cell performance: Investigating the impact of post-annealing on the optoelectrical and structural properties of RF-sputtered NiO films via SCAPS-1D device modeling

    • Authors: Abdur, R., Choudhury, S., Bashar, M.S., Hossain, M., Shah Jamal, M.
    • Journal: Solar Energy
    • Volume: 271
    • Pages: 112443
    • Year: 2024