Muhammad Nadir Shabbir | Economics | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Nadir Shabbir | Economics | Best Researcher Award

Renmin University of china | China

PUBLICATION PROFILE

Orcid

Dr. Muhammad Nadir Shabbir⚡🌍

🌍 INTRODUCTION

Dr. Muhammad Nadir Shabbir is a distinguished economist, renowned for his work in international trade, sustainable development, and innovation. Currently serving as a Postdoctoral Fellow at Renmin University of China, his academic and professional background, including a PhD in International Trade and Economics, has led him to make invaluable contributions to global economic issues. With an expertise in econometrics, Dr. Shabbir’s research focuses on trade policy, financial inclusion, and economic growth, applying advanced econometric tools like STATA, R, and SPSS.

📚 EARLY ACADEMIC PURSUITS

Dr. Shabbir’s academic journey began with a strong foundation in economics. He earned his MSc in Economics from the University of Punjab, followed by an M.Phil. in Econometrics from the Pakistan Institute of Development Economics. These early pursuits equipped him with a robust understanding of economic theory and data analysis, setting the stage for his doctoral research on trade policy uncertainty and innovation, which would later define his academic career.

💼 PROFESSIONAL ENDEAVORS

Throughout his career, Dr. Shabbir has contributed significantly to both academia and policy analysis. As a Postdoctoral Researcher at Renmin University, he has led advanced economic research on international trade, ESG disclosure, and green innovation. In addition, he has been involved in mentoring graduate and PhD students, helping them develop research, econometrics, and data analysis skills. His expertise in econometric modeling has made him a sought-after lecturer and collaborator.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS ON Economics

Dr. Shabbir’s research tackles some of the most pressing challenges in global economics. His work explores the intersection of trade policy, innovation, and sustainable development, with a focus on understanding the impact of trade policy uncertainty on economic growth and medical innovation. Additionally, he has conducted groundbreaking studies on corporate governance and its relationship with financial markets in developing countries, offering a fresh perspective on global economic systems.

🌟 IMPACT AND INFLUENCE

Dr. Shabbir has made a significant impact in the field of economics with his innovative research. His publications in high-impact journals like Sustainability and Economies have been widely cited, demonstrating the relevance and applicability of his work. His research continues to influence policy discussions on trade, financial inclusion, and sustainability, positioning him as a leader in the field.

📖 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Shabbir has contributed extensively to academic literature with several impactful publications, including works on the effect of trade policy uncertainty on innovation and economic growth. His research on corporate governance in Pakistan and the role of trade policy in medical innovation has garnered attention for its empirical rigor and relevance to both developed and developing economies.

🏅 HONORS & AWARDS

Dr. Shabbir’s academic excellence and contributions have earned him numerous awards and recognition in the field of economics. His work in the areas of trade policy, financial inclusion, and sustainable development has made him a leading voice in global economic research. He has been lauded for his ability to combine theoretical knowledge with practical, policy-relevant insights.

💬 FINAL NOTE

Dr. Muhammad Nadir Shabbir’s ongoing commitment to addressing key global economic challenges through his research and mentorship positions him as a key figure in the field. His future research promises to further deepen our understanding of trade policy, innovation, and sustainable development, making his contributions invaluable to the academic community and global policymaking.

🛠️ LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Shabbir’s legacy will continue to shape the future of global economic research. As he mentors the next generation of economists, his future work on trade policy, economic growth, and financial inclusion will undoubtedly have a lasting impact on both academic theory and real-world policy solutions. His dedication to sustainability and innovation ensures that his work will remain influential for years to come.

📚 TOP NOTES PUBLICATIONS

Globalizing green innovation: Impact on green GDP and pathways to sustainability
The dichotomy of corporate litigation risk in shaping ESG disclosure: Does green innovation matter?
    • Authors: Kainat Iftikhar, Tanveer Bagh, Muhammad Nadir Shabbir
    • Journal: Research in International Business and Finance
    • Year: 2025
    • DOI: 10.1016/j.ribaf.2024.102744
Immune Response to Dengue Virus Infection: Mechanisms and Implications
    • Authors: Dr. Duong Thuy Linh, Muhammad Nadir Shabbir
    • Journal: Pakistan Armed Forces Medical Journal
    • Year: 2024
    • DOI: 10.51253/pafmj.v74i6.12887
Profitability Outlook: Analyzing Firm and Country Level Drivers in the Banking Sector
    • Authors: Jhansi Rani Boda, Kainat Iftikhar, Tanveer Bagh, Dr. Muhammad Nadir Shabbir
    • Journal: Frontiers of Finance
    • Year: 2024
Trade Openness and Public Innovation: A Causality Analysis
    • Authors: Muhammad Usman Arshad, Dr. Muhammad Nadir Shabbir, Momna Niazi
    • Journal: SAGE Open
    • Year: 2023
    • DOI: 10.1177/21582440231201750

Yongzhi Qu | Scientific Machine Learning | Excellence in Innovation

Posted on by ScienceFather

Dr. Yongzhi Qu | Scientific Machine Learning | Excellence in Innovation

University of Utah | United States

Publication Profile

Orcid

Scopus

Google Scholar

Biography of Dr. Yongzhi Qu

🏅 Assistant Professor at University of Utah | Ph.D. in Industrial Engineering & Operations Research

Dr. Yongzhi Qu is an accomplished assistant professor at the University of Utah in the Department of Mechanical Engineering, specializing in AI-powered systems, data-driven dynamics, autonomous manufacturing, and digital twins. He earned his Ph.D. from the University of Illinois at Chicago in 2014, with a focus on Industrial Engineering & Operations Research. His research spans several fields, including machine learning, system modeling, and control for mechanical and structural systems.

📚 Education

  • Ph.D. in Industrial Engineering & Operations Research – University of Illinois at Chicago (2014)
  • M.S. in Measurement & Testing Technology – Wuhan University of Technology (2011)
  • B.Sc. in Measurement & Control Instrumentation and Technology – Wuhan University of Technology (2008)

💼 Professional Experience

  • Assistant Professor (07/2023 – Present)
    Department of Mechanical Engineering, University of Utah
  • Assistant Professor (08/2019 – 06/2023)
    Department of Mechanical & Industrial Engineering, University of Minnesota Duluth
  • Assistant/Associate Professor (01/2015 – 07/2019)
    Department of Mechanical Engineering, Wuhan University of Technology
  • Application Engineer (12/2013 – 12/2014)
    The DEI Group, Millersville, Maryland, US

🧠 Research Interests ON Scientific Machine Learning

Dr. Qu’s research focuses on scientific machine learning, AI-powered system modeling, estimation, and control for dynamic systems, with applications in autonomous manufacturing and digital twins. His recent work explores the intersection of machine learning, physics, and mathematics to model and control complex systems.

🏆 Research Grants

  • A Neural Differential Machine Learning Framework with Nonlinear Physics
    National Institute of Standards and Technology (NIST), $121,015 (2023-2026)
  • Real-time System Identification for Machining Spindles
    NIST, $159,950 (2020-2022)
  • Learning Real-time Dynamics of a Rotor System
    University of Minnesota, $44,501 (2020-2021)

🏅 Academic Awards

  • Best Academic Paper Award (IEEE International Conference on Prognostics and Health Management, 2013)
  • Best Student Paper Award (Society for Machinery Failure Prevention Technology Conference, 2014)
  • Best Paper Award (Prognostics and System Health Monitoring Conference, 2018)

📢 Invited Talks

  • Machine Learning for Dynamic System Modeling, Seagate (2022)
  • Keynote on Deep Learning in PHM, Annual Conference of PHM Society (2019)
  • FBG Sensing for Machinery Health Monitoring, Northeastern University, China (2016)

🎓 Teaching

  • Machine Learning for System Dynamics and Control, University of Minnesota Duluth
  • Six Sigma and Quality Control, University of Minnesota Duluth
  • Control Engineering, Wuhan University of Technology

🤝 Professional Service

  • Organizing Chair, Data Challenge, 15th Annual Conference of PHM Society (2023)
  • Panelist, Doctoral Symposium, 14th Annual Conference of PHM Society (2022)
  • Symposium Chair, ASME Manufacturing Science and Engineering Conference (2022, 2023)

📚 TOP NOTES PUBLICATIONS 

State space neural network with nonlinear physics for mechanical system modeling
    • Authors: Reese Eischens, Tao Li, Gregory W. Vogl, Yi Cai, Yongzhi Qu
    • Journal: Reliability Engineering & System Safety
    • Year: 2025
    • DOI: 10.1016/j.ress.2025.110946
Graph neural network architecture search for rotating machinery fault diagnosis based on reinforcement learning
    • Authors: Jialin Li, Xuan Cao, Renxiang Chen, Xia Zhang, Xianzhen Huang, Yongzhi Qu
    • Journal: Mechanical Systems and Signal Processing
    • Year: 2023
    • DOI: 10.1016/j.ymssp.2023.110701
Development of Deep Residual Neural Networks for Gear Pitting Fault Diagnosis Using Bayesian Optimization
    • Authors: Jialin Li, Renxiang Chen, Xianzhen Huang, Yongzhi Qu
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2022
    • DOI: 10.1109/TIM.2022.3219476
A domain adaptation model for early gear pitting fault diagnosis based on deep transfer learning network
    • Authors: Jialin Li, Xueyi Li, David He, Yongzhi Qu
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
    • Year: 2020
    • DOI: 10.1177/1748006X19867776
Gear pitting fault diagnosis using disentangled features from unsupervised deep learning
    • Authors: Yongzhi Qu, Yue Zhang, Miao He, David He, Chen Jiao, Zude Zhou
    • Journal: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
    • Year: 2019
    • DOI: 10.1177/1748006X18822447

 

Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

Posted on by ScienceFather

Dr. Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

Jiangxi Univ. of Sci. and Tech. | China

PUBLICATION PROFILE

Orcid

Dr. Kuntao Ye⚡🌍

INTRODUCTION 🌟

Dr. Kuntao Ye is an esteemed academic with a distinguished career in the fields of Electrical Engineering and Physics. As a professor at Jiangxi University of Science and Technology in China, Dr. Ye continues to contribute significantly to higher education, teaching, and research. His extensive academic background and professional experience in both academia and industry have earned him recognition globally. His work encompasses optical sensing, MEMS technology, signal processing, and more, making him a prominent figure in the research community.

EARLY ACADEMIC PURSUITS 📚

Dr. Ye’s academic journey began in China, where he obtained his B.S. and M.S. degrees from Nankai University, specializing in condensed matter physics and optics. His passion for research in photonics and optics led him to pursue a Ph.D. in Electrical Engineering from the University of Cincinnati, where he developed pioneering techniques for integrating optical nanoprobes with CMOS photodetection circuitry.

PROFESSIONAL ENDEAVORS 💼

Dr. Ye has had a wide-ranging career that includes roles as a postdoctoral fellow, product engineer, CTO, and visiting scholar. He has held important teaching positions, including as an associate professor at Jiangxi University of Science and Technology, where he imparts his expertise in signal processing, optoelectronics, and more. His time as a CTO at IntelliSense Corporation, as well as his academic visits to prestigious institutions such as McMaster University and the University of Nevada, have further enriched his professional portfolio.

CONTRIBUTIONS AND RESEARCH FOCUS ON Signal Processing Algorithm 🔬

Dr. Ye’s research spans a diverse array of topics including MEMS technology, optoelectronics, hyperspectral imaging, and signal processing. He has led several major research projects funded by the National Natural Science Foundation of China and other prestigious entities. His work on MEMS-based Fourier transform spectrometers, multi-parameter identification for turbid media, and advancements in image compression and sensing algorithms have earned him a reputation for groundbreaking contributions in these fields.

IMPACT AND INFLUENCE 🌍

Dr. Ye’s research has had a significant impact on various industries, particularly in the fields of optical sensing and MEMS technology. His patented inventions, including novel driving circuits for MEMS micromirrors and infrared-visible light image fusion methods, have been recognized both domestically and internationally. His research findings have been published in leading journals and conferences, further solidifying his position as an influential academic and researcher.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Dr. Ye has authored over 30 research papers and holds numerous patents. His work has been published in highly respected journals such as the IEEE Access and the Journal of Circuits, Systems, and Computers. His research continues to be cited by scholars and practitioners, particularly in the fields of image processing, hyperspectral sensing, and MEMS technology. His papers on advanced algorithms for image compression and detection techniques have been widely recognized for their innovative approaches.

HONORS & AWARDS 🏆

Throughout his career, Dr. Ye has received several accolades for his teaching and research achievements. These include the Outstanding Supervisor of Excellent Master’s Theses Award, Excellent Instructor Award at the National University Physics Experiment Competition, and recognition for his work in the Physics Innovation Contest. He has also been honored with the Advanced Worker of Science Popularization award by the Association of Science and Technology in Ganzhou City.

LEGACY AND FUTURE CONTRIBUTIONS  🔮

Dr. Ye’s legacy lies in his continuous pursuit of innovation and excellence in both teaching and research. His future contributions are expected to further advance technology in areas such as hyperspectral imaging, optoelectronic devices, and signal processing. With a strong foundation in both fundamental research and applied technology, Dr. Ye is poised to remain a key figure in the academic and research community for years to come.

FINAL NOTE ✨

Dr. Kuntao Ye’s work as a researcher and educator has left an indelible mark on the academic and professional world. His contributions to optics, MEMS technology, and signal processing have advanced the fields significantly. As an educator, he has shaped the minds of countless students, preparing them for careers in science and technology.

TOP NOTES PUBLICATIONS 📚

  • Multi-Scale Channel Distillation Network for Image Compressive Sensing

    • Authors: Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu
    • Journal: IEEE Access
    • Year: 2025

  • Differential Self-Feedback Dilated Convolution Network With Dual-Tree Channel Attention Mechanism for Hyperspectral Image Classification

    • Authors: Zhiqiang Xiao, Kuntao Ye, Guolong Cui
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024

  • A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions

    • Authors: Xinglong Zhou, Kuntao Ye, Sheng Li, Songhua Liu
    • Journal: Journal of Circuits, Systems and Computers
    • Year: 2024

  • An Improved Beetle Swarm Antennae Search Algorithm Based on Multiple Operators

    • Authors: Kuntao Ye, Leilei Shu, Zhiqiang Xiao, Wen Li
    • Journal: Soft Computing
    • Year: 2024

 

Raikane James | Healthcare Data Analysis | Best Researcher Award

Posted on by ScienceFather

Mr. Raikane James | Healthcare Data Analysis | Best Researcher Award

Seretlo Sefako Makgatho Health Sciences University | South Africa

PUBLICATION PROFILE

Google Scholar

Prof. Nobuo Nakada ⚡🌍

📚 INTRODUCTION

Mr. Raikane James Seretlo is a distinguished lecturer in Public Health at Sefako Makgatho Health Sciences University. He brings a combination of years of healthcare experience and academic dedication to the field, making him a key figure in advancing public health education and research. His academic journey continues to evolve, contributing to both local and global public health initiatives.

🎓 EARLY ACADEMIC PURSUITS

Mr. Seretlo’s academic path began with a focus on nursing, earning his Auxiliary Nursing Certificate in 2007. He continued his studies, completing a Bachelor’s in Nursing Science and later, a Master’s in Public Health from Sefako Makgatho Health Sciences University in 2022. Currently, he is progressing towards his PhD in Public Health, further solidifying his dedication to public health research and education.

💼 PROFESSIONAL ENDEAVORS

With extensive experience in healthcare, Mr. Seretlo has held multiple roles in both clinical practice and academia. His past positions include Clinical Application Specialist at Philips Africa, Clinical Facilitator at the University of Pretoria, and Professional Nurse at Philadelphia Hospital. Currently, he serves as a lecturer at Sefako Makgatho Health Sciences University, where he shapes the minds of future healthcare professionals.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON HEALTHCARE DATA ANALYSIS

Mr. Seretlo’s research interests focus on critical areas such as HIV prevention, TB, and health education. His work aims to improve public health strategies, especially in underprivileged communities. He is dedicated to mentoring students, guiding them through their research and helping shape the future of public health practices. His ongoing work includes developing digital health interventions and exploring the impact of health policies.

🌍 IMPACT AND INFLUENCE

Mr. Seretlo has significantly influenced public health education. His work as a lecturer and module coordinator at Sefako Makgatho Health Sciences University has enriched the academic environment, allowing students to develop practical skills and in-depth knowledge of public health. Furthermore, he has worked internationally, improving maternal and child health across African healthcare settings.

📖 ACADEMIC CITATIONS AND PUBLICATIONS

Through his research and practical experiences, Mr. Seretlo has authored multiple publications. His work on public health, HIV, and health promotion is regularly cited in academic circles. His ability to bridge theory and practice helps ensure that his research directly impacts healthcare delivery and education, influencing both academic and professional communities.

🏆 HONORS & AWARDS

Throughout his career, Mr. Seretlo has been recognized for his contributions to public health education and research. Notable achievements include his innovative work with online educational tools and his role as a guest lecturer. He has been awarded honors for excellence in teaching, research, and clinical education, which have solidified his reputation in the field.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Mr. Seretlo’s contributions to public health education and research are expected to expand. His innovative approaches to digital health and health education will likely continue to shape future public health policies and practices, contributing to global health advancements. His legacy will undoubtedly inspire future scholars and healthcare professionals.

📅 FINAL NOTE

As Mr. Seretlo continues his academic journey, his commitment to enhancing public health education remains unwavering. His career highlights a legacy of impactful research, innovative teaching, and dedication to improving healthcare outcomes. His influence is sure to grow, as he contributes further to both public health and academic research.

 📚 TOP NOTES PUBLICATIONS

Holistic sexual-reproductive healthcare services and needs for queer individuals: Healthcare providers’ perspectives
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: Healthcare
    • Year: 2024
A self-reported study: Health and mental health status among MSM in a district of North-West province
    • Authors: AP Mphela, RJ Seretlo, K Mokwena, MM Mokgatle
    • Journal: International Journal of Innovative Research and Scientific Studies
    • Year: 2024
Experiences of high school learners regarding Ubuntu education and training in South Africa
    • Authors: RT Lebese, SE Tshivhase, NS Mashau, L Makhado, R Anokurwu, et al.
    • Journal: Inkanyiso
    • Year: 2023
Community health workers’ knowledge of Ubuntu informed care in tuberculosis, HIV, and AIDS in Gauteng province
    • Authors: R Gundo, NV Sepeng, R Lavhelani, M Moeta, M Musie, RJ Seretlo, et al.
    • Journal: Curationis
    • Year: 2025
We are treated differently: Experiences of men who have sex with men in South African clinics
    • Authors: TT Ravele, RJ Seretlo, MM Mokgatle, R Seretlo, TT Ravele, RJ Seretlo
    • Journal: (Not specified, possibly another journal for 2025)
Challenges in sexual and reproductive healthcare access for queer people in Gauteng, South Africa
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: African Journal of Primary Health Care & Family Medicine
    • Year: 2024
Development of an mHealth App by Experts for Queer Individuals’ Sexual-Reproductive Health Care Services and Needs: Nominal Group Technique Study
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: JMIR Formative Research
    • Year: 2024

Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

VIT, Vellore | India

Publication Profile

Orcid

ASSOC PROF DR. SHANKAR RAMAN DHANUSHKODI – A LEGACY IN CLEAN ENERGY RESEARCH AND EDUCATION ⚡🌍

INTRODUCTION 🌟

Assoc Prof Dr. Shankar Raman Dhanushkodi is a distinguished academic and researcher currently serving as an Associate Professor at the Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. With more than two decades of experience, he has made significant contributions to the field of clean energy, specifically in fuel cell technology, electrolyzers, and the application of machine learning in energy systems. Dr. Dhanushkodi’s journey is marked by a blend of research excellence, academic contributions, and industry collaboration that continues to shape the future of energy solutions.

EARLY ACADEMIC PURSUITS 🎓

Dr. Dhanushkodi’s academic journey began in India, where he completed his Bachelor’s in Chemical Engineering from Alagappa College of Technology, Anna University, Tamil Nadu. He further pursued his Master’s in Process Systems Engineering at the University of Regina, Canada, and his Doctor of Philosophy in Chemical Engineering at the University of Waterloo, Canada. His academic foundation laid the groundwork for his pioneering research in electrochemical systems and fuel cell technologies.

PROFESSIONAL ENDEAVORS 💼

Dr. Dhanushkodi has held numerous prestigious positions across various academic and research institutions. His professional journey spans across countries, including India, Canada, and Germany. As an Associate Professor at VIT, he leads cutting-edge research in hydrogen technologies, focusing on fuel cells and electrolyzers. Additionally, he has served as a research consultant, postdoctoral fellow, and even founded his consulting company, Gandhi Energy Storage Systems and Solutions.

CONTRIBUTIONS AND RESEARCH FOCUS ON Green electrolysis 🔬

Dr. Dhanushkodi’s research expertise covers a wide range of areas such as electro-catalysis, membrane testing, fuel cell components, and the development of AI algorithms for chemical systems. His work in clean energy technologies is critical in advancing the efficiency and sustainability of energy systems. As a leading researcher, he has collaborated on global projects involving fuel cells and electrolyzers, while also contributing significantly to the development of diagnostic tools for electrochemical systems.

IMPACT AND INFLUENCE 🌍

Through his research and teaching, Dr. Dhanushkodi has not only contributed to the academic community but also impacted the global energy industry. His research has influenced the design and performance of fuel cells, electrolyzers, and other energy storage systems, helping to accelerate the transition to clean and sustainable energy sources. His collaborations with international institutions and industries have further reinforced his impact.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Dhanushkodi has authored over 15 publications in peer-reviewed journals, contributing to the advancement of knowledge in clean energy technologies and industrial ecology. His work is widely cited in the academic community, underlining the significance and relevance of his research. His focus on developing diagnostic tools for energy systems, particularly for PEM fuel cells and electrolyzers, continues to be a key area of innovation.

HONORS & AWARDS 🏆

Dr. Dhanushkodi’s excellence in research has been recognized through numerous awards and honors, including:

  • Raman Research Award for the paper in desalination and water treatment (2023)
  • Best Paper Award at the International Conference on Art, Education, and Business (2021)
  • Mrs. Chinnamaul Memorial Prize for the Best Technical Paper at CHEMCON (2021)
  • Outstanding Reviewer, Journal of Power Sources (2018)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Dhanushkodi’s work is far from over. As he continues to mentor young engineers at VIT and collaborate on international research projects, his legacy will undoubtedly inspire future generations. His ongoing research in fuel cell technology, electrolyzers, and machine learning applications in chemical engineering promises to yield groundbreaking solutions to the world’s energy needs. The future of clean energy is brighter, thanks to his vision and dedication.

FINAL NOTE 📌

Dr. Shankar Raman Dhanushkodi is not just a researcher; he is a mentor and a leader in the field of clean energy. His commitment to advancing energy systems and empowering the next generation of engineers and researchers has left an indelible mark on academia and industry alike. His contributions continue to inspire a future where sustainable energy solutions play a pivotal role in addressing global energy challenges.

 TOP NOTES PUBLICATIONS 📚

Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers
    • Authors: Jaydev Zaveri; Shankar Raman Dhanushkodi; Michael W. Fowler; Brant A. Peppley; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2025
Machine Learning Framework for the Methyl Chloride Production Process
    • Authors: School of Mechanical Engineering, Vellore Institute of Technology; R. Gollangi; K. NagamalleswaraRao; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; S. R. Dhanushkodi; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; N. Mahinpey; Department of Chemical and Petroleum Engineering, University of Calgary
    • Journal: Journal of Environmental Informatics Letters
    • Year: 2024
Development of Semi-Empirical and Machine Learning Models for Photoelectrochemical Cells
    • Authors: Niranjan Sunderraj; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Bohdan Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Energies
    • Year: 2024
Development of Semi Empirical and Machine Learning Models for Photo-Electrochemical Cells
    • Authors: Niranjan Sunderraj; S.R. Dhanushkodi; Ramesh Kumar Chidambaram; B. Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Preprint
    • Year: 2024
Design and Manufacturing Challenges in PEMFC Flow Fields—A Review
    • Authors: Prithvi Raj Pedapati; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2024

 

Mona ElBannan | Green Finance | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Mona ElBannan | Green Finance | Best Researcher Award

German University in Cairo | Egypt

Publication Profile

Google Scholar

MONA A. EL-BANNAN, PH.D. – BIOGRAPHY 🌱📚

INTRODUCTION 👩‍🏫

Mona A. El-Bannan, Ph.D., is a distinguished academician and finance expert. She currently serves as the Vice Dean for Student Affairs and Associate Professor of Finance at the German University in Cairo (GUC). Her extensive career spans over two decades, integrating rigorous academic roles with professional experiences, particularly in finance and banking.

EARLY ACADEMIC PURSUITS 📚

Mona’s academic journey began with a Bachelor’s degree in Economics and Political Science from Cairo University in 1991. She then pursued her Master’s degree in Business Administration (MBA) at the Arab Academy for Sciences and Technology in 2006, graduating with an impressive GPA of 3.86. Following this, Mona earned a Ph.D. in Business Administration with a concentration in Finance from Ain Shams University in 2011. Her dissertation, titled “A Proposed Framework for Bank Governance according to Basel Requirements and the Monetary Policy of Central Bank of Egypt”, significantly contributed to the understanding of financial governance in Egypt.

PROFESSIONAL ENDEAVORS 💼

Mona’s professional career began in the banking sector, where she worked for over 8 years in prominent Egyptian and international banks. She held key roles, including Department Head in Customer Service & Time Deposit at the Egyptian American Bank and Egyptian Gulf Bank. Later, Mona transitioned to academia, teaching at renowned universities such as The German University in Cairo (GUC), American University in Cairo (AUC), and Future University in Egypt (FUE). In addition to her academic responsibilities, Mona has contributed to the development of accounting systems and conducted various business consulting projects in the pharmaceutical sector.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Green Finance🔬

Mona’s research focuses on Green Finance, Corporate Finance, Corporate Governance, Financial Economics, and Bank Management. She explores how finance can drive sustainable development, particularly through green bonds to combat climate change. Her research on corporate governance emphasizes its impact on Egyptian firms, while her studies on financial economics and corporate finance offer valuable insights into corporate decision-making processes, especially in emerging markets.

IMPACT AND INFLUENCE 🌍

Mona’s academic influence extends beyond teaching, as she supervises doctoral dissertations, MSc theses, and MBA theses at GUC and other institutions. She is instrumental in shaping the academic growth of finance students and fostering the development of future leaders in finance. Her teaching methods, coupled with her research contributions, have earned her significant respect in academic circles.

ACADEMIC CITATIONS AND PUBLICATIONS 📖

Mona’s work has been published in various academic journals and she has received multiple citations for her contributions to Green Finance and Corporate Governance. Her research continues to shape how institutions and corporations engage with sustainable finance practices.

HONORS & AWARDS 🏆

Throughout her career, Mona has earned various awards and recognitions for her exceptional teaching, research, and academic leadership. These accolades reflect her dedication to advancing the field of finance and business administration. She has been a member of prestigious organizations such as the European Financial Management Association (EFMA) and the Multinational Finance Society (MFS), which has further extended her professional network.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking ahead, Mona aims to continue shaping the future of finance education and sustainable finance. She is committed to producing groundbreaking research that will influence policy, banking practices, and corporate strategies in the pursuit of sustainable financial systems.

FINAL NOTE ✨

Dr. Mona A. El-Bannan is not only an academician but also a leading voice in finance education and sustainable financial practices. Her commitment to green finance, corporate governance, and financial education ensures her lasting impact on the academic and professional communities.

 TOP NOTES PUBLICATIONS 📚

Effectiveness of Green Bonds in Helping the Environment
    • Authors: MA ElBannan, G Löffler
    • Journal: Journal of Banking & Finance
    • Year: 2024
Catering Behavior and Dividend Sentiment in Emerging Financial Markets
    • Author: MA ElBannan
    • Journal: International Review of Economics & Finance
    • Year: 2020
ESG Ratings, COVID-19 Severity, and Stock Behavior in Emerging Markets
    • Authors: MT Said, MA ElBannan
    • Journal: Review of Accounting and Finance
    • Year: 2024
State Divestitures and Bank Performance in MENA Region
    • Authors: N Elkhayat, MA ElBannan
    • Journal: Asian Economic and Financial Review
    • Year: 2018
Corporate Governance and Accounting Performance: A Balanced Scorecard Approach
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Accounting and Finance Research
    • Year: 2014
Information Content of SFAS 157 Fair Value Reporting
    • Authors: MA ElBannan, MA ElBannan
    • Journal: Journal of International Accounting, Auditing and Taxation
    • Year: 2015

Vladimir Chigrinov | Effective Visualization Techniques | Excellence in Innovation

Posted on by ScienceFather

Prof. Vladimir Chigrinov | Effective Visualization Techniques | Excellence in Innovation

Hong Kong University of Science and Technology | Hong Kong

Publication Profile

Scopus
Orcid

BIOGRAPHY OF Prof. Vladimir Chigrinov 🌱📚

🌟 INTRODUCTION

Vladimir G. Chigrinov is a distinguished scientist and professor who has significantly contributed to the fields of Liquid Crystal Displays (LCDs) and Solid-State Physics. His groundbreaking research and leadership have made a lasting impact on the development of advanced display technologies and electro-optical systems. Chigrinov’s career spans several decades and has seen him hold prominent roles in academia and research, influencing both the academic and industrial worlds globally.

🎓 EARLY ACADEMIC PURSUITS

Chigrinov’s academic journey began with an M.S. in Applied Mathematics from the Moscow Technical University of Electronics and Mathematics in 1973. He continued his studies at the Shubnikov Institute of Crystallography, USSR Academy of Sciences, where he completed his Ph.D. in Solid State Physics in 1978. His Ph.D. thesis, “Investigation of Instabilities in Nematic Liquid Crystals,” laid the foundation for his future work in Liquid Crystal technology. His subsequent Doctoral and Professor Degrees further cemented his status as an expert in the field.

🔬 PROFESSIONAL ENDEAVORS

Throughout his career, Chigrinov has held key positions in research institutions, including the Organic Intermediates & Dyes Institute (NIOPIK) and the Shubnikov Institute of Crystallography. His leadership roles at these institutions have shaped the research landscape in Liquid Crystal Display (LCD) technology, electro-optical effects, and materials science. He later joined the Hong Kong University of Science and Technology (HKUST), where he contributed to academic research and mentoring students. His vast experience has also led him to serve as a consultant for several international research projects.

💡 CONTRIBUTIONS AND RESEARCH FOCUS ON Effective Visualization Techniques

Chigrinov’s research has focused on advancing Liquid Crystal (LC) technologies, particularly in display applications. His work has involved optimizing LC materials, improving electro-optical behaviors, and creating new display devices like low-power LCDs and ferroelectric liquid crystals (FLCs). His research has pushed the boundaries of display technologies, making them more efficient and versatile. He has also made significant strides in the fields of photo-aligning and photo-patterning, key areas for future development in display industries.

🌍 IMPACT AND INFLUENCE

Chigrinov’s influence extends far beyond the laboratory. He has actively contributed to the global scientific community by collaborating with renowned companies like Samsung, F. Hoffmann La Roche, and Merck. His expertise is sought after for various high-profile advisory and editorial roles in international conferences and journals. He has also been instrumental in shaping the future of display technologies through his advisory positions with organizations like the International Liquid Crystal Society and the Society for Information Displays (SID).

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Chigrinov’s work is widely recognized in academic circles, with numerous publications and citations to his name. His research on liquid crystal alignment and electro-optical effects has become foundational to modern display technologies. His paper, co-authored with other experts, on surface-induced parallel alignment of liquid crystals, remains one of the most cited and influential papers in the field of applied physics.

🏅 HONORS & AWARDS

Chigrinov’s exceptional contributions to the field of liquid crystals and display technology have been recognized with numerous honors. He has received the prestigious Slottow-Owaki Prize for his educational contributions and was awarded the Research Excellence Award at HKUST in 2012. He is a Senior Member of the Society for Information Display (SID) and has also been honored with Gold Medals at the Malaysia Technology Expo. His recognition extends globally, and he continues to receive awards that highlight his impact on the scientific community.

🌱 LEGACY AND FUTURE CONTRIBUTIONS

Chigrinov’s legacy in the field of liquid crystals is undeniable. His pioneering work has laid the groundwork for future advancements in display technologies and photonics. As an educator and mentor, he has inspired a new generation of scientists and engineers who will carry forward his legacy of research excellence. His ongoing involvement in international research projects ensures that his contributions will continue to shape the future of LCD and related technologies.

💬 FINAL NOTE

Vladimir G. Chigrinov is a distinguished figure in the scientific world, known for his innovative contributions to liquid crystal technologies and display systems. His career is a testament to his dedication to advancing scientific knowledge and mentoring future generations of researchers. His work will undoubtedly continue to influence the fields of display technology and photonics for years to come.

📚 TOP NOTES PUBLICATIONS

Photoinduced Interactions in Thin Films of Azo Dyes and Planar-Aligned Nematic Liquid Crystal Crystals
    • Authors: Aleksey Kudreyko, Vladimir Chigrinov, Arina Perestoronina
    • Journal: Crystals
    • Year: 2024
    • DOI: 10.3390/cryst15010022
Photonic Devices with Multi-Domain Liquid Crystal Structures
    • Authors: Aleksey Kudreyko, Vladimir Chigrinov, Kristiaan Neyts, Denis Chausov, Arina Perestoronina
    • Journal: Crystals
    • Year: 2024
    • DOI: 10.3390/cryst14060512
Optical Biosensing of Polarized Light
Professor Sergey Alekseevich Pikin (1941 – 2024)
    • Authors: Efim I. Kats, Vladimir E. Dmitrienko, Eugene M. Terentjev, Vladimir G. Chigrinov, Mikhail A. Osipov, Maxim V. Gorkunov, Anna S. Gorkunova, Boris I. Ostrovskii, Elena S. Pikina
    • Journal: Liquid Crystals Today
    • Year: 2023
    • DOI: 10.1080/1358314X.2023.2359214
Optimisation of Stratified Anisotropic Media for Security Films

Mohammad Hossein Kadkhodaei | Mining Engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Mohammad Hossein Kadkhodaei | Mining Engineering | Best Researcher Award

Department of Mining Engineering | Iran

Publication Profile

Google Scholar

INTRODUCTION 🎓

Dr. Mohammad Hossein Kadkhodaei is an accomplished academic and researcher in the field of Mining Engineering with a strong focus on rock mechanics and mining exploitation. He is currently pursuing a Ph.D. at Isfahan University of Technology (IUT) in Iran, specializing in the production of fine materials during linear rock cutting processes. His academic journey is marked by high achievements in teaching, research, and consultation, as well as his expertise in data mining techniques and rock behavior modeling.

EARLY ACADEMIC PURSUITS 📚

Dr. Kadkhodaei’s academic journey began at Isfahan University of Technology (IUT), where he earned his B.Sc. in Mining Engineering in 2017. His undergraduate thesis on stability analysis of the Isfahan metro tunnel showcased his interest in rock mechanics and structural integrity. He later pursued a Master’s degree in Mining Exploitation (2017-2019), focusing on the prediction of rockburst phenomena using risk assessment techniques. His research during this period laid a strong foundation for his subsequent Ph.D. work.

PROFESSIONAL ENDEAVORS 👷‍♂️

Currently, Dr. Kadkhodaei serves as a Teaching Assistant and Thesis Advisor in the Department of Mining Engineering at Isfahan University of Technology. He has been recognized by the faculty as a skilled educator and is responsible for teaching courses such as Underground Mining, Coal Technology, and Optimization of Underground Mining. His role as an advisor spans various levels of student theses, from B.A. to Ph.D. programs, contributing significantly to the academic development of the next generation of mining engineers.

CONTRIBUTIONS AND RESEARCH FOCUS On Mining Engineering 🔬

Dr. Kadkhodaei’s research focuses primarily on rock mechanics, mining exploitation, and rock cutting techniques. His Ph.D. thesis explores the effect of rock properties on the production of fine materials during linear rock cutting with a conical tool. This groundbreaking research has implications for the efficiency of mining operations and has the potential to significantly impact industrial practices in the mining sector. His research also extends to risk assessment in mining, as demonstrated in his M.Sc. thesis on rockburst prediction.

IMPACT AND INFLUENCE 🌍

Dr. Kadkhodaei’s influence extends beyond his teaching and research contributions. Through his mentorship, many students have advanced to become leaders in mining engineering and related fields. His research is bridging the gap between theoretical knowledge and practical applications in mining operations, creating opportunities for improvements in safety, efficiency, and sustainability within the industry.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Dr. Kadkhodaei has contributed extensively to the academic community, publishing numerous research papers in leading journals and conferences. His work focuses on topics such as rock cutting processes, mining optimization, rockburst prediction, and mining safety. His research publications have been cited widely, reflecting the impact and relevance of his work in both academic and industrial circles.

HONORS & AWARDS 🏆

Throughout his academic career, Dr. Kadkhodaei has received multiple honors and recognition for his contributions:

  • Outstanding Academic Achievement in his Ph.D. program at Isfahan University of Technology
  • Research Excellence Award for his work on rock mechanics and cutting processes
  • Awarded multiple grants and scholarships for his research in mining engineering
  • Recognized for leadership in student mentorship and advisory roles

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking ahead, Dr. Kadkhodaei aims to continue his groundbreaking research in mining exploitation and rock mechanics, focusing on mining safety and resource efficiency. As an educator and researcher, he strives to influence the next generation of engineers, contributing to sustainable practices and technological advancements in mining. His ongoing work promises to shape the future of the industry, ensuring safer, more efficient, and environmentally friendly mining practices.

FINAL NOTE ✨

Dr. Mohammad Hossein Kadkhodaei’s career is a testament to his dedication to advancing the field of mining engineering. With a passion for research and a commitment to educating future engineers, his work continues to drive progress in the mining and rock mechanics sectors. His innovative research in rock cutting processes and mining optimization is poised to make a lasting impact on the global mining industry.

Publication Top Notes

Developing two robust hybrid models for predicting tunnel deformation in squeezing prone grounds
    • Authors: MH Kadkhodaei, V Amirkiyaei, E Ghasemi
    • Journal: Transportation Geotechnics
    • Year: 2024
Analysing the life index of diamond cutting tools for marble building stones based on laboratory and field investigations
    • Authors: M Bahri, E Ghasemi, MH Kadkhodaei, R Romero-Hernández, …
    • Journal: Bulletin of Engineering Geology and the Environment
    • Year: 2021
An intelligent approach to predict the squeezing severity and tunnel deformation in squeezing grounds
    • Authors: E Ghasemi, S Hassani, MH Kadkhodaei, M Bahri, R Romero-Hernandez, …
    • Journal: Transportation Infrastructure Geotechnology
    • Year: 2024
Evaluation of rock cutting performance of conical cutting tool based on commonly measured rock properties
    • Authors: MH Kadkhodaei, E Ghasemi, JK Hamidi, J Rostami
    • Journal: Transportation Geotechnics
    • Year: 2024
Stability assessment of open spans in underground entry-type excavations by focusing on data mining methods
    • Authors: M Jalilian, E Ghasemi, MH Kadkhodaei
    • Journal: Mining, Metallurgy & Exploration
    • Year: 2024
Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree‐support vector machine models
    • Authors: MH Kadkhodaei, E Ghasemi, J Zhou, M Zahraei
    • Journal: Deep Underground Science and Engineering
    • Year: 2024

Snehal Laddha | Medical Image Analysis | Best Researcher Award

Posted on by ScienceFather

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

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

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 📚

Snehal’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 👩‍🏫

Snehal’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 FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’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 🌍

Snehal’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 📑

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 🏆

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 🌱

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 ✨

Ms. Snehal Laddha’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 📚

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