Sherin Zafar | Machine Learning  | Women Researcher Award

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Dr. Sherin Zafar | Machine Learning  | Women Researcher Award

Jamia Hamdard | India

PUBLICATION PROFILE

Scopus

🌟 DR. SHERIN ZAFAR: ACADEMIC AND RESEARCH PIONEER 

👩‍🏫 INTRODUCTION

Dr. Sherin Zafar is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi. Joining the institution in 2015, she has made remarkable contributions to teaching, research, and faculty development. With expertise in network security, machine learning, and health informatics, Dr. Zafar continues to inspire both students and colleagues alike.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zafar’s academic journey began with a Bachelor’s degree in Computer Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, followed by a Master’s degree in the same field. Her passion for optimizing network protocols led her to complete her Ph.D. at Manav Rachna International Institute of Research and Studies (MRIIRS) in 2015, where she focused on creating secure protocols for Mobile Ad-Hoc Networks (MANETs) through biometric authentication.

💼 PROFESSIONAL ENDEAVORS

Since joining Jamia Hamdard, Dr. Zafar has been dedicated to academic growth and research excellence. Her professional endeavors span the fields of artificial intelligence (AI), health informatics, and wireless networks. A regular participant in faculty development programs (FDP), workshops, and international conferences, Dr. Zafar stays at the forefront of technological advancements, demonstrating her commitment to personal and professional growth.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zafar’s research interests are centered around applying AI and computational techniques to real-world problems, especially in health and security. Her work in e-health, including maternal health improvement through AI-based systems, and the development of secure network protocols, highlights her commitment to impactful research. She has also explored the application of machine learning in smart city technologies and water quality monitoring.

🌍 IMPACT AND INFLUENCE

Dr. Zafar has made a significant impact in the academic community through her publications and collaborative research. Her work in healthcare AI, optimization techniques, and network security has been widely recognized and cited by scholars and professionals worldwide. Her contributions have advanced both theoretical and practical aspects of computer science and engineering.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zafar’s academic footprint includes high-quality research papers published in top-tier journals and international conference proceedings. Her studies, including works on AI in healthcare and photo captioning for visually impaired individuals, have been published in journals like Heliyon, Proceedings on Engineering Sciences, and Multimedia Tools and Applications. These works have been indexed in Scopus and Web of Science, contributing to the ongoing academic dialogue.

🏆 HONORS & AWARDS

Throughout her career, Dr. Zafar has received several honors in recognition of her contributions to teaching and research. These accolades showcase her dedication to enhancing the educational landscape and driving innovations in technology and healthcare.

🛠️ LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Zafar continues her work at Jamia Hamdard, her legacy is one of inspiring innovation and fostering academic excellence. With a focus on AI, machine learning, and secure communications, her future research is poised to make lasting contributions to the fields of computer science and healthcare, inspiring future generations of researchers and professionals.

📜 FINAL NOTE

Dr. Sherin Zafar’s career is a testament to her passion for research and teaching. Through her groundbreaking research in AI, network security, and healthcare, Dr. Zafar has earned a well-deserved reputation as a leader in her field. As she continues her academic journey, her influence will undoubtedly shape the future of computer science and engineering, leaving a lasting legacy for years to come.

📚 TOP NOTES PUBLICATIONS 

Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework

Authors: S.P. Soman, Sibu Philip G., Senthil Kumar G., S.B. Nuthalapati, Suri Babu S., Zafar Sherin, K.M. Abubeker K.M.
Journal: Engineering Research Express
Year: 2024

Holistic Analysis and Development of a Pregnancy Risk Detection Framework: Unveiling Predictive Insights Beyond Random Forest

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: SN Computer Science
Year: 2024

Correction to: A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: A.K.M. Kunju Abubeker Kiliyanal Muhammed, S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: K.M. Abubeker K.M., S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

 Enhancing Heart Health Prediction with Natural Remedies Through Integration of Hybrid Deep Learning Models

Authors: L.M.S. Akoosh Lamiaa Mohammed Salem, F. Siddiqui Farheen, S. Zafar Sherin, S. Naaz Sameena, M.A. Afshar Alam
Journal: Journal of Natural Remedies
Year: 2024

Synergistic Precision: Integrating Artificial Intelligence and Bioactive Natural Products for Advanced Prediction of Maternal Mental Health During Pregnancy

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: Journal of Natural Remedies
Year: 2024

Abeer abdelhalim | Big Data Analytics | Best Researcher Award

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Prof. Abeer abdelhalim | Big Data Analytics | Best Researcher Award

Prof. Abeer abdelhalim | Big Data Analytics – king faisal university | Saudi Arabia

Abeer M. M. Abdelhalim is a Full Professor of Accounting at King Faisal University, KSA, specializing in managerial accounting with over 30 years of academic and professional experience. He has contributed significantly to the field with numerous publications in peer-reviewed journals and has secured prestigious research grants. Prof. Abdelhalim is highly skilled in project management, scientific research, and organizing academic events. He has worked in various academic and leadership roles across multiple institutions, and his research focuses on management accounting, cost accounting, and financial disclosure. A dedicated educator, he fosters a stimulating learning environment for students and has led various training programs in accounting. His passion for continuous self-learning and development keeps him at the forefront of modern educational practices and technologies.

Profile

Orcid 

Education

Prof. Abeer M. M. Abdelhalim earned his Bachelor’s in Accounting in 1995 from the Faculty of Commerce, Suez Canal University, Egypt. He then completed his Master’s in Cost & Managerial Accounting in 2000, followed by a Ph.D. in Managerial Accounting in 2006 from the same institution. His academic background laid the foundation for his distinguished career in both teaching and research. Prof. Abdelhalim’s education has empowered him to contribute significantly to the field of accounting, particularly in managerial and cost accounting, through various publications and applied research. His educational journey continues to inspire his teaching and consultancy work today.

Professional Experience

Prof. Abdelhalim has held several key positions throughout his career. Currently, he is a Full Professor of Accounting at King Faisal University, KSA, where he has also served as an Associate Professor and Assistant Professor. Prior to this, he worked at Imam University and Suez Canal University, where he taught various accounting and financial subjects. He has designed and implemented numerous accounting systems and led educational development projects. Additionally, Prof. Abdelhalim has extensive experience in training and consultancy, having conducted numerous workshops and courses in financial and managerial accounting. His leadership roles include heading committees in strategic planning, accreditation, and student affairs.

Awards and Recognition

Prof. Abeer M. M. Abdelhalim has earned several prestigious awards throughout his career. Notably, he won the First Place in Economic Studies from Prince Rashid bin Humid for Culture and Sciences in 2018. He also received the Distinguished Publication Award from the Scholarly Council at King Faisal University in 2023 for his significant contributions to research. His work in academia and research has been widely recognized, making him a leading figure in his field. His dedication to excellence in teaching and research continues to earn him accolades and recognition from both academic institutions and professional organizations.

Research Skills

Prof. Abdelhalim possesses advanced skills in scientific research, particularly in the fields of managerial and cost accounting. He has authored numerous articles in high-impact journals and has a strong track record of securing research grants. His research interests include financial reporting, digital transformation in accounting, big data analytics, and corporate sustainability. Prof. Abdelhalim is highly skilled in conducting applied research that addresses practical challenges in the accounting profession, particularly in relation to modern technologies such as blockchain and artificial intelligence. He is also experienced in leading research teams and contributing to global academic conferences.

Publications

From the Internet of Things to the Internet of Ideas: The Role of Artificial Intelligence
👤 Abeer Abdelhalim | 📖 Springer International Publishing | 🌍 2023 | DOI: 10.1007/978-3-031-17746-0 | ISBN: 9783031177453, 9783031177460 | ISSN: 2367-3370, 2367-3389 🌟🎓

The Moderating Role of Digital Environmental Management Accounting in the Relationship between Eco-Efficiency and Corporate Sustainability
👤 Abeer Abdelhalim | 📖 Sustainability | 🌍 2023 | April 23 | 🌟🎓💼

The Influence of Audit Committee Chair Characteristics on Financial Reporting Quality
👤 Abeer Abdelhalim, Abdalwali Lutfi, Saleh Zaid Alkilani, Mohamed Saad, Malek Hamed Alshirah, Ahmad Farhan Alshirah, Mahmaod Alrawad, Malak Akif Al-Khasawneh, Nahla Ibrahim | 📖 Journal of Risk and Financial Management | 🌍 2022 | November 29 | DOI: 10.3390/jrfm15120563 🌟🎓💼

The Relationship between Risk Disclosure and Firm Performance: Empirical Evidence from Saudi Arabia
👤 Abeer Abdelhalim | 📖 The Journal of Asian Finance, Economics and Business | 🌍 2021 | June 30 | DOI: 10.13106/JAFEB.2021.VOL8.NO6.0255 🌟🎓💼

Xiaobin Ling | Data Science | Best Researcher Award

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Dr. Xiaobin Ling | Data Science | Best Researcher Award

UMass Medical School | United States

Publication Profile

Orcid

👨‍🔬 Summary

Dr. Xiaobin Ling is a Postdoctoral Researcher at the RNA Therapeutics Institute, UMass Medical School, specializing in lncRNA structure and Cryo-EM. With a Ph.D. in Structural Biology from Fudan University, his work focuses on the mechanisms of RNA structures, molecular biology, and biophysics, with a strong emphasis on cryo-electron microscopy (Cryo-EM).

🧑‍🏫 Current Position

Postdoctoral Researcher
RNA Therapeutics Institute, UMass Medical School (2024–Present)

  • Research on RNA structures, particularly long non-coding RNAs (lncRNAs).
  • Focus on Cryo-EM techniques to elucidate RNA structural dynamics.

🎓 Education

Ph.D. in Structural Biology (2017–2023)
Fudan University, Shanghai, China

  • Research: Mechanisms and regulation of microRNA biogenesis and lncRNA structure.
    Master’s in Chemical Biology (2013–2016)
    Xiamen University, Xiamen, China
  • Research: Drug mechanisms targeting nuclear receptors.
    B.Sc. in Biotechnology (2008–2013)
    Jinggangshan University, Ji’an, China

💼 Professional Experience

Senior Research Assistant (2022–2023)
Cryo-EM Core Facility, Sichuan University, China

  • Managed operations for Titan Krios G3i, Talos Arctica G2, and JEOL1400 microscopes.
  • Applied Cryo-EM techniques for structural research.

Structural Biologist Researcher (2021–2022)
Runjia Pharmaceutical Technology Co., Ltd, Shanghai, China

  • Investigated ADAR inhibitors and their functions.

Research Assistant (2016–2017)
South University of Science and Technology of China, Shenzhen, China

  • Focused on microRNA biogenesis and its regulation.

📚 Academic Publications

Dr. Ling has authored numerous peer-reviewed publications in top journals, including Nature, Nature Structural & Molecular Biology, and Cell Reports. Notable works include:

  1. Cryo-EM structure of a natural RNA nanocage (Nature, 2025)
  2. Circularly permuted group II introns and their mechanisms (Nature Structural & Molecular Biology, 2025)
  3. Human telomeric G-quadruplex DNA binding (BBA – Gene Regulatory Mechanisms, 2023)
  4. ADAR inhibitors and their function (prepint, 2022)

💡 Technical Skills

  • Cryo-EM: Expertise in cryo-electron microscopy for RNA and protein structural analysis.
  • RNA Structure Analysis: Proficient in the study of RNA folding and dynamics.
  • Molecular Biology: Strong background in RNA and DNA manipulation, including G-quadruplexes and microRNA biogenesis.
  • Computational Tools: Skilled in structural bioinformatics and molecular modeling.

👨‍🏫 Teaching Experience

Dr. Ling has contributed to academic training and mentoring at multiple institutions, particularly in structural biology and RNA research.

🔬 Research Interests On Data Science

  • Structural biology of RNA molecules, focusing on lncRNAs and their roles in gene regulation.
  • Application of Cryo-EM to explore the structural dynamics of RNA and protein complexes.
  • Investigating RNA-related therapeutic strategies, including the use of RNA nanocages and RNA-based drug delivery systems.

 📚 Top Notes Publications

Cryo-EM structure of a natural RNA nanocage
    • Authors: Xiaobin Ling*, Dmitrij Golovenko, Jianhua Gan, Jinbiao Ma*, Andrei A. Korostelev*, Wenwen Fang*
    • Journal: Nature
    • Year: 2025 (accepted)
Structures of a natural circularly permuted group II intron reveal mechanisms of branching and back-splicing
    • Authors: Xiaobin Ling*, Yuqi Yao*, Jinbiao Ma*
    • Journal: Nature Structural & Molecular Biology
    • Year: 2025
The mechanism of UP1 binding and unfolding of human telomeric G-quadruplex DNA
    • Authors: Xiaobin Ling#, Yuqi Yao#, Lei Ding, Jinbiao Ma*
    • Journal: Biochimica et Biophysica Acta (BBA) – Gene Regulatory Mechanisms
    • Year: 2023
DHX9 resolves G-quadruplex condensation to prevent DNA double-strand breaks
    • Authors: Juan Chen#, Xiaobin Ling#, Youshan Zhao#, Sheng Li, Manan Li, Hailian Zhao, Xianguang Yang, Chun-kang Chang, Jinbiao Ma*, Yuanchao Xue*
    • Journal: preprint
    • Year: 2022
Phytochrome B inhibits the activity of phytochrome-interacting factor 7 involving phase separation
    • Authors: Yu Xie, Wenbo Liu, Wenjing Liang, Xiaobin Ling, Jinbiao Ma, Chuanwei Yang, Lin Li*
    • Journal: Cell Reports
    • Year: 2023
Modular characterization of SARS-CoV-2 nucleocapsid protein domain functions in nucleocapsid-like assembly
    • Authors: Yan Wang#, Xiaobin Ling#, Jian Zou, Chong Zhang, Bingnan Luo, Yongbo Luo, Xinyu Jia, Guowen Jia, Minghua Zhang, Junchao Hu, Ting Liu, Yuanfeiyi Wang, Kefeng Lu, Dan Li, Jinbiao Ma*, Cong Liu*, Zhaoming Su*
    • Journal: Molecular Biomedicine
    • Year: 2023

 

Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

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Dr. Alireza sobbouhi | Predictive Modeling Innovations | Best Researcher Award

shahid beheshti university | Iran

Author Profile

Early Academic Pursuits 📚

Dr. Alireza Sobbouhi’s academic journey began at Shahid Beheshti University in Iran, where he developed a strong foundation in mathematics, statistics, and computational sciences. His early fascination with complex systems and data-driven decision-making led him to specialize in predictive modeling. This interest propelled him into graduate studies, where he focused on developing and applying sophisticated techniques for forecasting and analyzing data.

Professional Endeavors 💼

Dr. Sobbouhi’s career blends academic achievements with professional success. As a professor at Shahid Beheshti University, he has been deeply involved in teaching, research, and industry collaboration. His role in academia extends beyond teaching as he works on impactful projects that link predictive modeling with real-world applications, from healthcare to finance. His expertise has also made him a sought-after consultant, furthering his reach and influence in both academia and industry.

Contributions and Research Focus On Predictive Modeling Innovations🔬

Dr. Sobbouhi’s research is rooted in the advancement of predictive modeling. His contributions have introduced new methodologies to improve the accuracy and efficiency of data analysis in various domains. Some key areas of focus include:

  • Development of Predictive Algorithms: Crafting algorithms that provide more precise predictions in economic, healthcare, and environmental sectors.
  • Machine Learning Integration: Exploring ways to integrate machine learning techniques into predictive models for better data interpretation and forecasting.
  • Big Data Analytics: Focusing on scalable approaches to handle and analyze massive datasets to uncover patterns that traditional models might miss.

Impact and Influence 🌍

Dr. Sobbouhi’s work has had a profound impact, not only in academia but also across various industries. His innovative contributions to predictive modeling and machine learning have influenced numerous researchers and professionals in fields ranging from economics to environmental science. His approach to enhancing model reliability and interpretability has set new standards and inspired further research in data science. The applications of his work continue to improve decision-making processes worldwide.

Academic Cites 📑

Dr. Sobbouhi’s research has been extensively cited in scholarly articles, journals, and conferences, indicating the high regard in which his work is held. His studies on predictive analytics and statistical modeling have been foundational, influencing a wide range of studies in machine learning and data science. The frequency of his citations reflects the relevance and significance of his contributions to the broader scientific community.

Technical Skills 🧑‍💻

Dr. Sobbouhi possesses a diverse and deep technical skill set that includes:

  • Programming: Expertise in Python, R, and MATLAB for data analysis and modeling.
  • Statistical Modeling: Advanced proficiency in developing and applying statistical techniques for prediction and forecasting.
  • Machine Learning: Expertise in applying machine learning algorithms to large datasets to uncover trends and make predictions.
  • Data Visualization: Strong skills in visualizing complex datasets to facilitate understanding and decision-making.

These technical competencies allow him to tackle complex datasets and develop state-of-the-art predictive models.

Teaching Experience 🏫

As an educator, Dr. Sobbouhi has taught a variety of courses on statistics, data science, and machine learning at Shahid Beheshti University. His teaching style blends theoretical knowledge with practical applications, ensuring students are well-prepared for the real-world challenges of the data science field. Dr. Sobbouhi has also supervised many graduate students, guiding them in their research and helping to shape the next generation of data scientists.

Legacy and Future Contributions 🔮

Dr. Sobbouhi’s legacy is built on his innovative contributions to predictive modeling and data science. His ability to bridge the gap between academic theory and industry application has had a lasting influence on both fields. Looking ahead, Dr. Sobbouhi is expected to continue making groundbreaking advancements in predictive analytics, particularly in the integration of AI and machine learning into real-world applications. His future research will likely shape the development of new predictive tools, influencing a wide range of industries for years to come.

Notable Publications  📑 

A novel predictor for areal blackout in power system under emergency state using measured data
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025
A novel SVM ensemble classifier for predicting potential blackouts under emergency condition using on-line transient operating variables
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2025 (April issue)
Transient stability improvement based on out-of-step prediction
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Transient stability prediction of power system; a review on methods, classification and considerations
    • Authors: Not provided in the source, but typically listed in the full article.
    • Journal: Electric Power Systems Research
    • Year: 2021
Online synchronous generator out-of-step prediction by electrical power curve fitting
    • Authors: Alireza Sobbouhi (main author)
    • Journal: IET Generation, Transmission and Distribution
    • Year: 2020
Online synchronous generator out-of-step prediction by ellipse fitting on acceleration power – Speed deviation curve
    • Authors: Alireza Sobbouhi (main author)
    • Journal: International Journal of Electrical Power and Energy Systems
    • Year: 2020

Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

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Dr. Rituraj Upadhyay | Healthcare Data Analysis | Best Researcher Award

The Ohio State University, United States

Author Profiles

Orcid

Google Scholar

Research Gate

Early Academic Pursuits 🎓

Dr. Rituraj Upadhyay began his academic journey with a strong foundation in medical education at the prestigious All India Institute of Medical Sciences (AIIMS), New Delhi. There, he completed his Bachelor of Medicine and Surgery (MBBS) in 2014, followed by an MD in Radiation Oncology (2017). His early medical training was marked by a deep interest in radiotherapy and oncology, leading him to pursue a Diplomate of National Board (DNB) certification in Radiation Oncology. His academic endeavors during this time reflected a commitment to advancing medical knowledge and improving patient care through radiation oncology.

Professional Endeavors 🌍

Dr. Upadhyay’s professional career has been driven by a passion for advancing radiation oncology, particularly through his work in clinical and academic settings. His residency at The Ohio State University Wexner Medical Center (2021–2025) is a notable highlight in his professional journey, demonstrating his commitment to mastering the latest technologies and treatments in radiation oncology. Dr. Upadhyay’s time at renowned institutions like MD Anderson Cancer Center and Rutgers Cancer Institute of New Jersey has further solidified his standing as an emerging leader in the field. His pursuit of innovation and excellence is evident from his involvement in advanced radiation oncology fellowships and international research collaborations.

Contributions and Research Focus 🔬

Dr. Upadhyay’s research is at the forefront of radiation oncology, with a focus on improving treatment outcomes and minimizing side effects. He has contributed significantly to clinical trials and funded research, such as the “PRIMe-STAR trial” on progressive/recurrent intracranial meningiomas and the “AVATAR” system aimed at reducing anesthesia needs in pediatric radiotherapy. His research on stereotactic radiosurgery for brain metastases and radiation therapy for conditions like penile cancer and renal stereotactic ablative therapy underscores his diverse interests in cancer treatment. His studies have potential global impact, as reflected in his leadership role in multinational research endeavors.

Impact and Influence 🌟

Dr. Upadhyay’s influence extends beyond his research. As an educator and mentor, he actively shapes the next generation of radiation oncologists. His roles in mentoring medical students, residents, and fellows at institutions like The Ohio State University and Massachusetts General Hospital highlight his dedication to guiding aspiring professionals. He also plays a key role in enhancing the field through his involvement in various professional organizations such as the American Society for Radiation Oncology (ASTRO) and the Radiosurgery Society (RSS). His work as a guideline reviewer and committee member for several radiation oncology societies reflects his broad influence on the development of standards and best practices in the field.

Academic Cites 📚

Dr. Upadhyay’s research and academic work are well-regarded, with his contributions earning recognition through numerous awards and honors. Notable accolades include the American College of Radiation Oncology (ACRO) Best Abstract Award and the American Radium Society (ARS) Early Career Oncologist Award, which are testaments to his influential research on topics like stereotactic radiosurgery and palliative radiation therapy. These accolades further cement his reputation in the academic community, demonstrating the high regard in which his peers hold his research.

Technical Skills 💻

Dr. Upadhyay has developed a comprehensive set of technical skills that position him at the cutting edge of radiation oncology. His expertise spans advanced radiation therapy techniques such as stereotactic radiosurgery (SRS), stereotactic body radiotherapy (SBRT), proton therapy, and image-guided brachytherapy. In addition, he is well-versed in cutting-edge technologies, including the use of artificial intelligence and machine learning in radiation oncology for treatment planning and quality assurance. His technical acumen is further demonstrated by his involvement in developing new approaches to enhance clinical outcomes for complex cancer cases.

Teaching Experience 📖

Dr. Upadhyay has dedicated substantial time to teaching and mentorship, sharing his expertise with medical students, residents, and fellow researchers. He has served as a moderator for educational webinars and a mentor for various research initiatives. His roles as a panelist and speaker at international conferences, such as the ASTRO Annual Meeting and the Ohio State University Cardio-Oncology Symposium, reflect his commitment to advancing education within the field of oncology. Through these initiatives, he has played a key role in shaping the future of radiation oncology education.

Legacy and Future Contributions 🔮

Dr. Upadhyay’s legacy in radiation oncology is already being established through his groundbreaking research and mentorship. His involvement in international clinical trials, such as the AVATAR system and the PRIMe-STAR trial, is likely to make a long-lasting impact on the clinical management of cancer patients globally. Looking forward, Dr. Upadhyay plans to continue advancing his research, particularly in the areas of stereotactic radiosurgery and precision medicine. His work promises to significantly shape the future of radiation oncology, particularly in improving treatment efficacy, minimizing side effects, and enhancing patient care across diverse populations.

 

Top Noted Publications 📖

Additive Value of Magnetic Resonance Simulation Before Chemoradiation in Evaluating Treatment Response and Pseudoprogression in High-Grade Gliomas

Authors: Divya Yadav, Rituraj Upadhyay, Vinodh A. Kumar, Melissa M. Chen, Jason M. Johnson, Holly Langshaw, Brandon J. Curl, Maguy Farhat, Wasif Talpur, Thomas H. Beckham et al.

Journal: Practical Radiation Oncology

Year: 2024

Risk-Stratified Radiotherapy in Pediatric Cancer

Authors: Rituraj Upadhyay, Arnold C. Paulino

Journal: Cancers

Year: 2024

Disease Control and Toxicity Outcomes after Stereotactic Ablative Radiation Therapy for Recurrent and/or Metastatic Cancers in Young-Adult and Pediatric Patients

Authors: Rituraj Upadhyay, Brett Klamer, Jennifer Matsui, Vikram B. Chakravarthy, Thomas Scharschmidt, Nicholas Yeager, Bhuvana A. Setty, Timothy P. Cripe, Ryan D. Roberts, Jennifer H. Aldrink et al.

Journal: Cancers

Year: 2024

Quantifying the Risk and Dosimetric Variables of Symptomatic Brainstem Injury after Proton Beam Radiation in Pediatric Brain Tumors

Authors: Rituraj Upadhyay, Kaiping Liao, David R Grosshans, Susan L McGovern, Mary Frances McAleer, Wafik Zaky, Murali M Chintagumpala, Anita Mahajan, Debra Nana Yeboa, Arnold C Paulino

Journal: Neuro-Oncology

Year: 2022

Patterns of Failure after Radiation Therapy in Primary Spinal High-Grade Gliomas: A Single Institutional Analysis

Authors: Rituraj Upadhyay, Swapnil Khose, Halyna Pokhylevych, Arnold C Paulino, Mary Frances McAleer, Amol Ghia, Jing Li, Debra Nana Yeboa, Monica Loghin, Rebecca Harrison et al.

Journal: Neuro-Oncology Advances

Year: 2022

Hao Gao | Healthcare Data Analysis | Best Researcher Award

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Prof. Hao Gao | Healthcare Data Analysis | Best Researcher Award

Jinan University, China

Author Profiles

orcid

Scopus

Research Gate

👨‍🎓 Early Academic Pursuits

Prof. Hao Gao began his academic journey with a strong foundation in natural medicine chemistry. He received his PhD from Shenyang Pharmaceutical University in 2005, focusing on the chemistry of natural medicines. This early academic work set the stage for his future contributions to the field of Traditional Chinese Medicine (TCM). After completing his doctorate, he further honed his expertise through postdoctoral training at Tsinghua University (2006-2008), a renowned institution that significantly influenced his approach to scientific research and innovation.

💼 Professional Endeavors and Leadership

Prof. Gao’s professional trajectory has been marked by leadership roles that have shaped his career and the direction of his research. In 2008, he joined the Institute of Traditional Chinese Medicine & Natural Products at Jinan University as a faculty member. Since 2013, he has been a professor at the university and, in 2016, assumed the position of Head of the Institute of Traditional Chinese Medicine & Natural Products. In 2020, he expanded his administrative responsibilities by taking on the role of Director of the Science and Technology Department at Jinan University. Prof. Gao’s leadership has been pivotal in fostering multidisciplinary collaborations and advancing research initiatives in natural medicine chemistry.

🔬 Contributions and Research Focus

Prof. Gao’s research is primarily centered on natural medicine chemistry, with a particular focus on the active compounds and technological advancements related to Traditional Chinese Medicine (TCM). His work is dedicated to exploring under-researched medicinal materials like Lycium barbarum, Angelica sinensis, and Ophiocordyceps sinensis, which are central to TCM practices. Prof. Gao has made significant strides in identifying bioactive substances and developing novel drugs derived from TCM. Notably, his research has led to the discovery of four classes of lead compounds for anti-dementia drugs, all characterized by independent intellectual property rights.

🌍 Impact and Influence

Prof. Gao’s impact extends beyond academia, with substantial contributions to the modernization of TCM and drug development. His collaborations with international experts, such as Professor Ikuro Abe from the University of Tokyo, have facilitated the establishment of the International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development, a joint initiative between China’s Ministry of Education and Jinan University. This partnership exemplifies Prof. Gao’s influence on global TCM research and highlights his role in pushing the boundaries of natural product-based drug development.

📚 Academic Citations and Recognition

Prof. Gao’s research has gained widespread recognition, reflected in his 4100 citations across various SCI journals. His work has significantly contributed to the advancement of natural medicine chemistry and TCM, making him a highly influential figure in the field. His numerous publications, with 195 journal articles and one book published, continue to shape research in TCM and pharmacology. Moreover, his leadership as an editor for the China Section of the Journal of Natural Medicines and as an editorial board member for Acta Pharmaceutica Sinica B highlights his prominence in the academic community.

🛠️ Technical Skills and Innovations

Prof. Gao’s technical expertise spans various critical areas, including the extraction, isolation, and characterization of bioactive compounds from TCM. His innovations in pharmacodynamic constituents of TCM have contributed to the discovery of novel drug candidates, some of which are in the process of patenting. With over 71 patents published or pending, Prof. Gao stands at the forefront of translating TCM practices into scientifically validated therapeutic solutions. His lab continues to focus on critical technologies that aim to enhance the efficacy and safety of TCM-derived medicines.

👩‍🏫 Teaching Experience

In addition to his research, Prof. Gao has been an integral part of the academic community at Jinan University, mentoring and guiding students in the fields of pharmacology and natural medicine chemistry. His teaching philosophy integrates cutting-edge research with practical applications in TCM, ensuring that his students are well-equipped to pursue careers in both academia and industry. As a mentor, Prof. Gao has inspired numerous graduate students and postdoctoral researchers, many of whom have gone on to make their own contributions to TCM and drug development.

🌱 Legacy and Future Contributions

Prof. Gao’s legacy is built on his pioneering work in natural medicine chemistry and the modernization of Traditional Chinese Medicine. His research continues to influence the field, with ongoing projects that promise to uncover more bioactive compounds and therapeutic agents. As his career progresses, Prof. Gao remains committed to advancing TCM through innovation and interdisciplinary collaboration. His future work will likely expand the global recognition of TCM-based drugs, pushing the boundaries of natural product drug discovery and pharmacology for the betterment of human health.

🌟 Professional Memberships and Editorial Roles

Prof. Gao is an active member of the China Association of Chinese Medicine, where he serves as Vice Chairperson of the Youth Work Committee. His role in professional societies and editorial boards, including his editorial positions in high-impact journals, underscores his authority in the fields of natural products and biosynthesis. His leadership extends to guiding the next generation of researchers and practitioners in these fields.

📖 Top Noted Publications 

Functional and structural dissection of glycosyltransferases underlying the glycodiversity of wolfberry-derived bioactive ingredients lycibarbarspermidines
    • Authors: Li, S.-Y., Wang, G.-Q., Long, L., Abe, I., Gao, H.
    • Journal: Nature Communications
    • Year: 2024
Identification of three novel P450 enzymes involved in the oxidative modification of a newly discovered fusicoccane diterpene
    • Authors: Dong, L., Liu, J.-Y., Wang, G.-Q., Hu, D., Gao, H.
    • Journal: Bioorganic Chemistry
    • Year: 2024
Targeted Discovery of a Natural ortho-Quinone Methide Precursor and Green Generation of Its Oligomers
    • Authors: Wang, X.-X., Deng, B.-Q., Ouyang, Z.-Q., Yao, X.-S., Gao, H.
    • Journal: Journal of Natural Products
    • Year: 2024
A Functional Switch Between Asperfumene and Fusicoccadiene Synthase and Entrance to Asperfumene Biosynthesis through a Vicinal Deprotonation-Reprotonation Process
    • Authors: Liu, J.-Y., Lin, F.-L., Taizoumbe, K.A., Gao, H., Dickschat, J.S.
    • Journal: Angewandte Chemie – International Edition
    • Year: 2024
Mechanistic characterisation of a fungal fusicoccane-type diterpene synthase involved in the biosynthesis of talaro-7,13-diene
    • Authors: Lin, F.-L., Taizoumbe, K.A., Wang, Y.-X., Gao, H., Dickschat, J.S.
    • Journal: Organic and Biomolecular Chemistry
    • Year: 2024

Haixia Mao | Data Science | Best Researcher Award

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Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

💼 Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

📚 Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

💻 Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

📚 Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

📖Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

Bohong Chen | Bioinformatics analysis | Best Researcher Award

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Mr. Bohong Chen | Bioinformatics analysis | Best Researcher Award

Mr. Bohong Chen at The First Affiliated Hospital of Xi’an Jiaotong University, China

👨‍🎓Professional Profile

🧑‍🔬 Summary

Mr. Bohong Chen is a talented researcher from The First Affiliated Hospital of Xi’an Jiaotong University, China, currently pursuing his PhD with a focus on tumor drug resistance mechanisms, specifically for breast cancer. His work integrates transcriptomics, single-cell bioinformatics, and Mendelian randomization to better understand the molecular foundations of disease. With a strong academic background and multiple published articles in high-impact journals, Mr. Chen is well-equipped to contribute to foundational biomedical research aimed at improving cancer treatment strategies.

👨‍🎓 Education

Mr. Bohong Chen is currently pursuing a PhD at The First Affiliated Hospital of Xi’an Jiaotong University in China, where he focuses on exploring the mechanisms of tumor drug resistance, particularly for breast cancer. Prior to this, he earned his Master’s degree under the supervision of Wu Dapeng, equipping him with strong research skills in bioinformatics and molecular biology.

🏆 Academic Honors

Mr. Chen has received several prestigious academic honors, including a Second-Class Scholarship for two consecutive years and the title of “Excellent Graduate Student” for the 2021 academic year. Additionally, he serves as a reviewer for the SCI journal PLOS ONE, demonstrating his academic contributions.

💻 Technical Skills

With expertise in bioinformatics, Mr. Chen is proficient in using R Language for transcriptomic and single-cell data analysis. His skills also include Mendelian randomization, a method he uses for genetic epidemiology and to explore causal relationships in disease mechanisms. These technical skills form the backbone of his innovative research in tumor drug resistance and other medical conditions.

👨‍🏫 Teaching Experience

In addition to his research, Mr. Chen has demonstrated teaching abilities as a Master’s Supervisor under Wu Dapeng. He assists graduate students in their research and offers valuable guidance in bioinformatics and genomics.

🔬 Research Interests

Mr. Chen’s research interests are primarily focused on understanding tumor drug resistance, especially in breast cancer. He is particularly interested in leveraging advanced bioinformatics techniques such as single-cell sequencing and machine learning to identify novel therapeutic targets. His goal is to provide more effective treatment strategies for cancer patients by exploring the molecular mechanisms behind drug resistance.

Salahuddin Mahmud – Data Interpretation – Global Data Innovation Recognition Award 

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Assoc Prof Dr Salahuddin Mahmud - Data Interpretation - Global Data Innovation Recognition Award 

Salahuddin Mahmud - Bangladesh Shishu Hospital & Institute - Bangladesh 

Author Profile

Early Academic Pursuits

Assoc Prof DR. Salahuddin Mahmud began his academic journey with a solid foundation in science, completing his SSC in 1990 and HSC in 1992 from the Education Board, Dhaka, with a focus on the science stream. Following this, he pursued his MBBS from Dhaka University, specializing in Medicine, Surgery, and Gynecology, which he completed in 2000. His commitment to pediatric care led him to achieve an MD in Pediatrics from BSMMU in 2010.

Professional Endeavors

Over the years,  Assoc Prof Dr. Mahmud has held various significant roles at the Bangladesh Shishu Hospital & Institute (BSHI). He started as a Resident Medical Officer in Pediatric Medicine in 2004 and transitioned to the Department of Pediatric Gastroenterology, Hepatology & Nutrition by 2011. Progressing through the ranks, he has served as Assistant Professor and currently holds the position of Associate Professor in the same department.

Additionally, Assoc Prof Dr. Mahmud plays crucial supervisory and academic roles, supervising MD (Pediatrics) residency courses and co-guiding MD thesis projects, enhancing the quality of pediatric care and education in Bangladesh.

Contributions and Research Focus

Assoc Prof Dr. Mahmud's contributions to pediatric gastroenterology, hepatology, and nutrition are commendable. His participation in workshops and conferences like the 9th ISPGHAN Conference in India and the Motility Workshop in New Delhi underscores his commitment to advancing the field. His research and expertise cover areas such as pediatric GI & liver issues, metabolic liver diseases, and enteral & parenteral nutrition, focusing on improving diagnostic and treatment modalities.

Accolades and Recognition

His active involvement and expertise have garnered recognition, both nationally and internationally. He is a life member of the Bangladesh Pediatric Association and holds foreign memberships in prestigious organizations like ISPGHAN, NASPGHAN, and APPSPGHAN, highlighting his standing in the global pediatric community.

Impact and Influence

Assoc Prof Dr. Mahmud's impact extends beyond his clinical and academic roles. As an executive member of BASPGAN, he influences policy and practice in pediatric gastroenterology, hepatology, and nutrition in Bangladesh. His research and teachings shape future pediatricians, ensuring that the next generation is equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

With a rich legacy of academic achievements, professional endeavors, and contributions to pediatric care and research, Assoc Prof Dr. Salahuddin Mahmud continues to inspire and lead. His future contributions are anticipated to further advance pediatric gastroenterology and hepatology in Bangladesh and beyond. As an associate professor and respected figure in his field, he remains committed to mentoring future professionals, conducting groundbreaking research, and elevating standards of care for pediatric patients.

Notable Publications