yuzhu wang | healthcare | Best Researcher Award

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Ms. yuzhu wang | healthcare | Best Researcher Award

Zhongshan hospital Fudan university | China

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INTRODUCTION 🌟

YUZHU WANG is an accomplished clinical pharmacist currently working at Zhongshan Hospital Affiliated with Fudan University in China. With a master’s degree from Shanghai Jiao Tong University, she has established herself as a prominent figure in clinical pharmacy. Serving as the Pharmacist-in-charge, she plays an integral role in advancing the practice of pharmacy within a prestigious medical institution.

EARLY ACADEMIC PURSUITS 📚

Yuzhu Wang’s academic journey began with her graduation from Shanghai Jiao Tong University in 2015, where she earned her master’s degree. Her years of study laid the foundation for a successful career in clinical pharmacy, where she excelled academically, gaining profound knowledge in the pharmaceutical sciences.

PROFESSIONAL ENDEAVORS 💼

After completing her academic studies, Yuzhu Wang embarked on her professional career at Zhongshan Hospital Affiliated with Fudan University. As a Clinical Pharmacist, she holds the title of Pharmacist-in-charge, overseeing the clinical pharmacy services within the hospital. Her work includes collaborating with medical teams to optimize medication therapy and improve patient care.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Yuzhu Wang’s work in clinical pharmacy extends beyond everyday practice into innovative research and contributions to the field. Her focus is on improving clinical medication management and enhancing patient safety. She is actively involved in evaluating the effectiveness and safety of pharmaceutical treatments, contributing valuable insights to the healthcare system.

IMPACT AND INFLUENCE 🌍

As a respected pharmacist, Yuzhu Wang has had a lasting impact on the healthcare community. Her work influences clinical practices, making significant strides in patient care and medication safety. Through her commitment to the field of clinical pharmacy, she inspires others in her profession and contributes to the broader healthcare landscape.

ACADEMIC CITATIONS AND PUBLICATIONS 📝

Throughout her career, Yuzhu Wang has contributed to numerous academic publications, establishing her as a credible voice in clinical pharmacy research. Her works have been cited in various scientific journals and have provided invaluable knowledge to the academic and professional communities.

HONORS & AWARDS 🏆

Yuzhu Wang has received recognition for her outstanding contributions to clinical pharmacy. She has been awarded various honors and accolades for her dedication to improving patient care and advancing the profession. These honors serve as a testament to her exceptional skills, commitment, and impact in the healthcare field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Yuzhu Wang’s legacy lies in her ongoing work to revolutionize clinical pharmacy practices. As a leading pharmacist, she continues to push boundaries and inspire innovation in patient care. Her future contributions hold the promise of further transforming the field, benefiting not only her patients but also future generations of pharmacists.

FINAL NOTE 📝

Yuzhu Wang stands as an influential figure in the field of clinical pharmacy. Her combination of academic excellence, professional dedication, research contributions, and ongoing efforts to improve healthcare outcomes make her an inspiring model of success. With a bright future ahead, her work will undoubtedly continue to leave an indelible mark on the world of pharmacy and patient care.

 TOP NOTES PUBLICATIONS 📚

Risk Factors for Postoperative Nausea and Vomiting After TACE: A Prospective Cohort Study
  • Authors: WANG Yuzhu, Xin Zhou, Guoping Li, Qianzhou Lv, Xiaoyu Li, Zhiping Yan
  • Journal: Current Oncology
  • Year: 2024
  • DOI: 10.3390/curroncol32010017

Radwa Rady | Biomedical Engineering | Best Researcher Award

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Dr. Radwa Rady | Biomedical Engineering | Best Researcher Award

Alexandria University | Egypt

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🌟 INTRODUCTION

Dr. Radwa Rady is a meticulous, bilingual professional with a broad range of skills in IT applications, biomedical engineering, and communication technologies. With her extensive expertise in both theoretical and practical aspects of biomedical technology, Dr. Rady has made significant contributions to academia, research, and industry. Fluent in Arabic and English, she is well-versed in effectively communicating complex technical concepts while also excelling at multitasking and problem-solving. Dr. Rady’s work is characterized by her dedication to innovation and academic excellence, seeking to create lasting contributions in the field of Biomedical Engineering, IT, and Electrical Communication.

🎓 EARLY ACADEMIC PURSUITS

Dr. Radwa’s journey into the world of academia and technology began at Alexandria University, where she earned her Bachelor of Engineering in Communication. This foundational education allowed her to delve deeper into subjects such as digital signal processing and biomedical devices. She continued to build on this knowledge with her Master’s degree in Biomedical Devices, focusing on digital signal processing techniques to analyze respiratory wheeze sounds in children. Her early education laid the groundwork for her extensive research and innovations in biomedical engineering, solidifying her as a dedicated scholar and researcher in the field.

💼 PROFESSIONAL ENDEAVORS

Dr. Radwa Rady’s professional career is marked by diverse roles across academia, research, and software development. From her tenure as a Software Developer at VP .Net, where she contributed to significant projects for the Water and Wastewater Authority and Cataract Hospital, to her current role as Assistant Professor at Inaya Medical Colleges in Riyadh, she has continually sought to bridge the gap between theoretical knowledge and real-world applications. As an instructor, Dr. Rady has taught a wide range of subjects, including digital signal processing, biomedical engineering, and programming. Her leadership skills extend beyond the classroom as she serves on several faculty committees and supervises graduate students’ final projects.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Rady’s research focuses on the intersection of biomedical engineering, digital signal processing, and neurofeedback treatments. One of her primary research endeavors is her thesis on “Quantitative EEG and Neurofeedback Treatment,” which aims to improve attention skills in children with ADHD through real-time EEG analysis and neurofeedback. Her work also extends to the field of respiratory wheeze sound analysis, where she developed a system to assist physicians in diagnosing respiratory conditions in children using digital signal processing. These innovative projects demonstrate Dr. Rady’s commitment to advancing medical technology and improving patient outcomes.

🌍 IMPACT AND INFLUENCE

Dr. Rady has made a significant impact through her involvement in both teaching and research. As an academic, she not only imparts knowledge to her students but also actively contributes to the academic community through workshops and lectures on emotional intelligence and ethical considerations in AI research. Her research, including the published papers and patent application related to EEG analysis for ADHD treatment, demonstrates her ability to influence both academic discourse and practical applications in healthcare technology. Dr. Rady’s work is pushing the boundaries of medical engineering and continues to inspire new generations of researchers and students.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Radwa Rady’s contributions to academic research have been widely recognized in peer-reviewed journals. She has authored and co-authored several papers, including one published in the Alexandria Engineering Journal and another in Neural Computing and Applications. She also holds a patent for her work on real-time EEG signal analysis for ADHD treatment. Dr. Rady’s publications, which are accessible through DOI references, have garnered attention within both the biomedical engineering and computer science fields, reflecting the significance of her research contributions.

🏅 HONORS & AWARDS

Dr. Rady’s exceptional academic performance has been consistently recognized. She achieved a GPA of 3.888 in her Doctorate of Science in Engineering at Alexandria University and a GPA of 3.788 in her Master’s degree. Additionally, her research papers have been published in prestigious journals such as Elsevier and Springer. Her work has also led to the submission of a patent for her innovative EEG analysis application, further cementing her status as a leading researcher in biomedical engineering.

🔮 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Rady’s work holds the potential for long-term impact, particularly in the field of healthcare technology. Through her development of neurofeedback applications and digital signal processing systems, she is helping to shape the future of treatment for neurological conditions like ADHD. As a leader in both academia and research, Dr. Rady aims to continue advancing these fields by fostering collaborations and encouraging innovation among her students and colleagues. Her continued research promises to bring about transformative changes in the integration of biomedical engineering and artificial intelligence in medical practices.

📝 FINAL NOTE

Dr. Radwa Rady’s journey in academia, research, and professional development stands as a testament to her dedication to improving the lives of others through technology and education. From her work on respiratory wheeze sound analysis to her groundbreaking EEG research for ADHD, Dr. Rady is committed to making a meaningful difference in the world of biomedical engineering. Her future endeavors promise to build on her solid foundation, leaving a lasting legacy for generations to come.

📚 TOP NOTES PUBLICATIONS

Enhancing affordable EEG to act as a quantitative EEG for inattention treatment using MATLAB

    • Authors: Radwa Magdy Rady, Doaa Elsalamawy, M. R. M. Rizk, Onsy Abdel Alim, Nancy Diaa Moussa

    • Journal: Neural Computing and Applications

    • Year: 2025

A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children

    • Authors: Rady, R.M.; Moussa, N.D.; El Salmawy, D.H.; M Rizk, M.R.; Alim, O.A.

    • Journal: Alexandria Engineering Journal

    • Year: 2022

Respiratory Wheeze Sound Analysis Using Digital Signal Processing Techniques

    • Authors: Rady, R.M.; Akkary, I.M.E.; Haroun, A.N.; Fasseh, N.A.E.; Azmy, M.M.

    • Journal: Proceedings – 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015

    • Year: 2015

Sara Sadeghi | Structure | Best Researcher Award

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Mrs. Sara Sadeghi | Structure | Best Researcher Award

Isfahan University of Art | Iran

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👩‍🎓 Education

Mrs. Sara Sadeghi is currently a Ph.D. Candidate in Architectural Engineering at the Art University of Isfahan, with a stellar GPA of 3.92/4.00. She completed her Master’s in Architectural Engineering from Iran University of Science and Technology (IUST), where she graduated with a GPA of 3.75/4.00. Additionally, she earned her Bachelor’s in Architectural Engineering from Ferdowsi University of Mashhad, with an impressive GPA of 3.87/4.00.

🏆 Awards & Achievements

Sara has received several prestigious scholarships throughout her academic journey, including full scholarships from Art University of Isfahan and Iran University of Science and Technology. Notably, she was granted straight admission into the Master’s program at IUST and received the top student prize at Ferdowsi University, earning her a spot in the “Talented Students’ Community.”

📑 Licensure & Certification

Sara became a certified Professional Engineer (P.E.) for Design and Construction Supervision in Khorasan Razavi, Iran, in 2021. This licensure showcases her professional capabilities and commitment to the architectural engineering field.

📚 Publications & Presentations

Sara has made significant contributions to architectural engineering research with multiple publications. Some of her notable works include:

  • “Quantitative Assessment Model for Spatial and Functional Performances of Structures Using Fuzzy Logic” (2025)

  • “Assessment of Qualitative Performances of Structures in Architecture” (2024)

  • “Analysis of Aesthetics Role in Iranian Structural Architecture” (2018).
    Her research spans structural performance, aesthetics in architecture, and the application of fuzzy logic.

💼 Professional Experience

Sara’s professional journey is as impressive as her academic one. She currently serves as an instructor and teaching assistant at Ferdowsi University of Mashhad and Art University of Isfahan, where she teaches architectural design and theory courses. She has also worked as an architectural designer for Ziba Saze Toos Gam Co. in Mashhad and as an R&D Manager at Royan Hooshmand science-based company, where she contributed to the development of precast construction methods.

📊 Research & Projects

Sara is deeply involved in research, particularly in the “Numerical Analysis of Structural Performances” at Art University of Isfahan. She has also contributed to architectural design and development projects, such as her master’s thesis on “Cultural Center Design” and her bachelor’s thesis on “Villa Design with the Approach of Green Architecture.”

💡 Trainings & Workshops

Sara continuously enhances her skills through specialized training programs and workshops. She completed courses in Python Programming, 3D Modeling with Rhino and Python, and Renewable Energy and Green Building Entrepreneurship. She also attended workshops in Parametric Architecture and Sustainable Architecture.

📚 Top Notes Publications 

An analysis of structural aesthetics in architecture case study: Taj-Ol-Molk Dome, Jāmeh Mosque of Isfahan, Iran

    • Authors: S Sadeqi, A Ekhlassi, S Norouzian-Maleki

    • Journal: SN Applied Sciences

    • Year: 2019

Analysis of Architectural Aesthetics Role in Iranian Houses; Case Study: Mashhad Historical Houses

    • Authors: S Sadeghi, A Ekhlassi, H Kamelnia

    • Journal: JOURNAL OF RESEARCHES IN ISLAMIC ARCHITECTURE

    • Year: 2019

Quantitative assessment model for spatial and functional performances of structures using fuzzy logic, case studies: Spaceframe structures

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia, M Hoseinpour Jajarm

    • Journal: Structures

    • Year: 2025

Assessing Structural Performance: A Combined Qualitative and Quantitative Approaches Using Multi‑Criteria Decision‑Making Method

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia

    • Journal: The Institution of Engineers (India)

    • Year: 2024

Assessment of Qualitative Performances of Structures in Architecture, Case Studies: Space Frame Structures in Tehran, Iran

    • Authors: S Sadeghi, M Mahmoudi Kamelabad, H Kamelnia, M Hoseinpour Jajarm

    • Journal: The Institution of Engineers (India)

    • Year: 2024

Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

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Mr. Emmanuel Adesuyi | Healthcare Data Analysis | Best Researcher Award

Birmingham City University United Kingdom | United Kingdom

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👩‍⚕️ Mr. Emmanuel Adesuyi – Nurse Educator and Researcher

Emmanuel Adesuyi is a dedicated and passionate academic in the nursing and healthcare profession. As a Doctoral Researcher and Lecturer at Birmingham City University, he combines his love for teaching with rigorous research in the field of nursing and midwifery education. He is committed to evidence-based teaching and the development of curricula that empower nursing and midwifery students. Emmanuel’s academic journey is driven by his goal of fostering continuous learning and contributing to global health through research and policy development.

🎓 Education & Qualifications

Emmanuel is currently pursuing a Doctor of Philosophy (PhD) in Nursing at Birmingham City University, with a focus on teaching and learning in digital spaces in nursing and midwifery education. His academic background includes a Master of Public Health (MPH) from Ladoke Akintola University of Technology, Nigeria, and a Bachelor of Nursing Science (BNSc) degree. He has also completed postgraduate training in research practice and has received certification in leadership and teaching techniques for higher education.

💼 Professional Experience

Emmanuel has a diverse range of professional experiences. He currently holds a full-time position as a Doctoral Researcher and Lecturer at Birmingham City University, contributing to research and curriculum development. He has also worked as a Staff Nurse in various healthcare settings, including Thornbury Nursing Service, Leighton Hospital, and University College Hospital in Nigeria, where he provided patient care in orthopaedics, neurosurgery, and emergency departments.

📝 Research & Scholarly Activity

Emmanuel’s research interests are focused on improving healthcare through education and policy. He is currently working on several projects, including exploring the effectiveness of nursing and midwifery curricula across the WHO-Afro region and studying the impact of digital spaces on teaching and learning. His ongoing research includes studies on HIV/AIDS medication adherence, childhood diarrhea management, and primary healthcare system determinants.

🏆 Grants & Awards

Emmanuel has been awarded several prestigious grants, including a research grant from the Phi Mu Chapter of Sigma Theta Tau Nursing Society, a fully funded fellowship in Global Nurse Leadership by the Global Nursing Leadership Institute, and a grant funded by the WHO and ICN for his project on standardizing nursing and midwifery education in the WHO-Afro region.

🌍 Volunteer & Community Activities

In addition to his academic and professional roles, Emmanuel is deeply committed to community service. He is the Chief Executive Officer of the Institute of Nursing Research, Nigeria, a not-for-profit organization he co-founded in 2016. He has been instrumental in guiding nurses in their research endeavors, promoting evidence-based practices, and providing leadership in various community outreach projects.

📚 Teaching Engagement & Contributions

Emmanuel actively engages with students at various levels, offering both guidance and expertise. He contributes to the teaching of nursing students across different stages of their education at Birmingham City University, including supervising research projects and leading practical and theoretical modules in nursing care.

Emmanuel’s dedication to teaching, research, and healthcare policy development reflects his commitment to enhancing the nursing profession globally. Through his diverse roles and ongoing initiatives, he strives to make a meaningful impact on both education and healthcare delivery. 🌍

📚 Top Notes Publications 

Stigmatization, Medication Adherence and Resilience Among Recently Diagnosed People Living With HIV/AIDS (PLWHA): A Mixed‐Method Study

    • Authors: Emmanuel O. Adesuyi, Cynthia A. Attah, Oluwatosin A. Ige, Confidence C. Attamah, Khadijah A. Jimoh, Opeoluwa O. Olabode, Oluwadamilare Akingbade, Ayobami O. Adeagbo, Rafiat Akinokun, Esther Ilesanmi et al.

    • Journal: Public Health Challenges

    • Year: 2025

Determinants of implementation of evidence-based practice in clinical decision-making among nurses in primary health care facilities in Ondo State, Nigeria

    • Authors: Opeoluwa Oluwatoyin Olabode, Funmilayo A. Okanlawon, Yetunde Olufunmilayo Tola, Emmanuel O. Adesuyi, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Knowledge and Perception of Nursing Students in Nigeria towards Research: A Cross-Sectional Study

    • Authors: Elizabeth Olayimika Awoniyi, Oluwadamilare Akingbade, Caroline Oyebola Ajiboye, Glory Uleko Idigbe, Chioma Joy Eze, Victoria Damilola Adediran, Israel Opeyemi Fawole, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Perceived impact of graduate nurses’ internship program on nursing practice in Nigeria

    • Authors: Afeez Adeshina Suleiman, Rafiat Akinokun, Damilare Jonathan Arowolo, Elisha Oluwatobi Olabisi, Emmanuel O. Adesuyi, Omowunmi Ajiboye, Aduragbemi Oluwapelumi Ogunleye, Oluwadamilare Akingbade

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Utilisation of Insecticide-treated Net and its Associating Factors in the Prevention of Malaria Among Pregnant Women Attending a Nigerian Antenatal Clinic

    • Authors: D.C Marindoti, B.N Ogunyinka, S.A Ayoola, C.U Samuel, A.O Popoola, Emmanuel O. Adesuyi

    • Journal: PAN AFRICA SCIENCE JOURNAL

    • Year: 2024

Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

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Dr. Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

Universidad Autónoma de Madrid | Spain

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INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad Autónoma de Madrid, specializing in biochemistry and neurodegenerative diseases. With over 20 years of research experience, her scientific work primarily focuses on the molecular mechanisms of neurodegeneration, including oxidative stress, neuroinflammation, and proteinopathies. Her contributions span several neurodegenerative disorders, including Parkinson’s disease, Alzheimer’s, ALS, and Huntington’s disease.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lastres-Becker completed her Licenciatura en Ciencias Químicas (Bachelor’s degree in Chemistry) with a specialization in Biochemistry from Universidad Complutense de Madrid in 1997. She later earned her PhD in Biochemistry in 2003 from the same institution, with a focus on neurodegenerative diseases. Her doctoral research was awarded the prestigious European mention.

PROFESSIONAL ENDEAVORS 👩‍🏫

Throughout her career, Dr. Lastres-Becker has held various academic and research positions. She is currently an Associate Professor at the Universidad Autónoma de Madrid since October 2021, after having previously served as a Ramón y Cajal researcher and Postdoctoral Researcher in Spain and Germany. Her experience in both the academic and research environments has greatly contributed to her expertise in neurodegenerative diseases.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lastres-Becker’s research contributions have had a significant impact on the understanding of neurodegenerative diseases. Her work has focused on various aspects:

  • Cannabinoid System in Huntington’s Disease: Dr. Lastres-Becker explored how the dysregulation of the endogenous cannabinoid system affects Huntington’s disease. Her work laid the groundwork for clinical trials examining the neuroprotective effects of cannabinoids.
  • Parkinson’s Disease: She demonstrated how cannabinoid receptors, particularly CB1, are involved in neuroinflammation in Parkinson’s disease, and her research suggested potential therapeutic targets for modulating microglial activity.
  • Ataxin-2 in Spinocerebellar Ataxia: She was the first to identify the role of ataxin-2 in metabolism and protein synthesis, as well as its involvement in SCA2 neurodegeneration.
  • NRF2 Transcription Factor: Dr. Lastres-Becker’s research on NRF2 has revealed its central role in neurodegenerative diseases. She showed how NRF2’s involvement in inflammatory processes could be a therapeutic target, particularly in the context of Parkinson’s disease and tauopathies.
  • Neuron-Glia Communication: In Alzheimer’s disease, Dr. Lastres-Becker identified how neurons with overexpressed TAU protein release fractalkine (CX3CL1), triggering neuroinflammation and tau-related neurodegeneration.

IMPACT AND INFLUENCE 🌍

Dr. Lastres-Becker’s research is not only impactful within the academic sphere but also in the broader scientific and clinical communities. She serves as an external collaborator with several research groups and is a reviewer for high-impact scientific journals. Additionally, her collaborations with international research agencies and companies have advanced the therapeutic exploration of neurodegenerative diseases.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lastres-Becker has authored more than 65 publications, contributing significantly to neurodegenerative disease research. Some of her high-impact publications include studies on the cannabinoid system, NRF2 modulation, and tauopathies, with her work frequently cited in the fields of neurobiology and pharmacology. These studies have not only contributed to scientific knowledge but have also provided the foundation for potential clinical therapies.

HONORS & AWARDS 🏆

Throughout her career, Dr. Lastres-Becker has received numerous awards and grants, including funding from the Spanish Ministry of Science and Innovation. Her work has been recognized through various prestigious research projects aimed at studying and developing therapeutics for Parkinson’s disease, ALS, and Alzheimer’s disease.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Lastres-Becker continues to contribute to the advancement of therapeutic strategies for neurodegenerative diseases. She is currently involved in various cutting-edge research projects focused on the roles of NRF2, cannabinoids, and proteostasis. Her future work aims to bridge the gap between preclinical discoveries and clinical applications, ultimately improving treatment outcomes for patients with these devastating conditions.

TOP NOTES PUBLICATIONS 📚

Model organisms for investigating the functional involvement of NRF2 in non-communicable diseases
    • Authors: A.I. Rojo, B. Buttari, S. Cadenas, I.P. Trougakos, A.T. Dinkova-Kostova
    • Journal: Redox Biology
    • Year: 2025
Investigation in the cannabigerol derivative VCE-003.2 as a disease-modifying agent in a mouse model of experimental synucleinopathy
    • Authors: S. Burgaz, E. Navarro, S. Rodríguez-Carreiro, E.E. Muñóz, J.J. Fernández-Ruiz
    • Journal: Behavioral and Brain Functions
    • Year: 2024
Beneficial Effect of Dimethyl Fumarate Drug Repositioning in a Mouse Model of TDP-43-Dependent Frontotemporal Dementia
    • Authors: I. Silva-Llanes, R. Martín-Baquero, A. Berrojo-Armisen, E. De Lago, I. Lastres-Becker
    • Journal: Antioxidants
    • Year: 2024
Biomarkers of NRF2 signalling: Current status and future challenges
    • Authors: C. Morgenstern, I. Lastres-Becker, B.C. Demirdogen, A. Cuadrado, I.M. Copple
    • Journal: Redox Biology
    • Year: 2024
RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection
    • Authors: I. Silva-Llanes, E. Madruga, A.R. Martínez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

Muhammad Nadir Shabbir | Economics | Best Researcher Award

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Dr. Muhammad Nadir Shabbir | Economics | Best Researcher Award

Renmin University of china | China

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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

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

University of Utah | United States

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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

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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

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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

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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