Prof. Megha Bhushan | Healthcare | Best Researcher Award

Prof. Megha Bhushan, Healthcare, Best Researcher Award

Megha Bhushan at University of Seville, Spain

Profiles

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Megha earned her Ph.D. in Computer Science and Engineering from Thapar University, Patiala, Punjab, in 2018, with a thesis titled “A Generic Framework for Improving Software Product Line using an Ontological Rule-Based Approach.” She holds a Master’s in Engineering from the same institution, where she focused on improving Software Product Line Engineering using AOP, LEL, and UML. She completed her Bachelor’s of Technology in Information Technology from the University Institute of Information Technology, Himachal Pradesh University, Shimla, HP.

🏫 Professional Experience:

Dr. Megha currently serves as an Assistant Professor in the Department of Computer Languages and Systems at the University of Seville, Spain, since April 2024. She also holds the position of Honorary Adjunct Faculty at the School of Computing, Maryam Abacha American University of Nigeria, Kano since July 2024. Her previous roles include Assistant Dean, Research & Consultancy at DIT University, Dehradun, Uttarakhand, India, and various faculty positions at esteemed institutions like Koneru Lakshmaiah Education Foundation and Chitkara University. Dr. Megha has over 9.11 years of teaching and research experience, contributing significantly to the academic community through her various roles and responsibilities.

🔬 Research Interests:

Dr. Megha’s research spans various domains including Artificial Intelligence, Machine Learning, Knowledge Representation, Knowledge-based Systems, Rule-based Systems, Software Product Line, Software Quality, Ontologies, and Healthcare. She has been an active research team member in significant projects such as “Data-intensive software product lines” funded by the Ministry of Science and Innovation and “Deficit irrigation programming system for crops Operational Group” funded by the Andalusian Government, Spain.

🎖️ Grants and Fellowships:

Dr. Megha has been awarded several prestigious grants and fellowships, including the Rajiv Gandhi National Fellowship by the University Grants Commission, New Delhi, for her work on improving Software Product Line using an Ontological Rule-Based Approach. She also received the Student Presenter Scholarship at the Grace Hopper Celebration India (GHCI) 2017.

🏆 Achievements:

Dr. Megha has received numerous accolades for her contributions to research and education. She has been an active member of various committees and organizations, serving in roles such as Program Committee Member, Publicity and Sponsorship Committee Member, and Technical Program Committee Member for multiple international conferences. She has also been recognized with awards like “Global Leader in Excellence in Education and Outreach” and “Excellence in Research at the University level” at DIT University.

📜 Memberships and Associations:

Dr. Megha is a member of several professional organizations, including The Society of Digital Information and Wireless Communications (SDIWC) and the Education Research and Development Association (ERDA). She is also a fellow member of Eudoxia Research University and The Research World, International Society of Scientists and Engineers. Additionally, she serves on the advisory panel of The International Forum for Educators and Researchers (IFER).

đź“– Publications:

Impact of machine learning and deep learning techniques in autism
  • Authors: Bhushan, M., Singal, M., Negi, A.
  • Journal: Future of AI in Medical Imaging
  • Year: 2024
A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance
  • Authors: Bhushan, M., Vyas, S., Mall, S., Negi, A.
  • Journal: International Journal of System Assurance Engineering and Management
  • Year: 2023
Autonomous navigation of rovers using ML and DL techniques
  • Authors: Bhushan, M., Singal, M., Layek, S., Negi, A.
  • Journal: AI-Enabled Social Robotics in Human Care Services
  • Year: 2023
Classifying breast cancer using transfer learning models based on histopathological images
  • Authors: Rana, M., Bhushan, M.
  • Journal: Neural Computing and Applications
  • Year: 2023
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
  • Authors: Rana, M., Bhushan, M.
  • Journal: Multimedia Tools and Applications
  • Year: 2023

Dr. Weijian Ye | Biomedical | Best Researcher Award

Dr. Weijian Ye, Biomedical, Best Researcher Award

Doctorate at The First Affiliated Hospital of Jinan University, China

Professional Profile

Summary:

Dr. Weijian YE is a distinguished researcher in the field of Chemical Genomics, with a Ph.D. from Peking University and a Bachelor’s degree from Guangzhou University of Chinese Medicine. With a strong background in Pharmaceutical Engineering, Dr. YE has made significant contributions to biomedical research, particularly in the development of PET tracers and radio pharmacy.

👩‍🎓Education:

  • Ph.D. in Chemical Genomics (Advisor: Prof. LEE, Chi-Sing)
    Peking University, Beijing, China
    Sep. 2014 – Jun. 2019
  • Bachelor’s Degree in Pharmaceutical Engineering (Advisor: Prof. WANG, Tao)
    Guangzhou University of Chinese Medicine, Guangzhou, China
    Sep. 2010 – Jun. 2014

🧬 Work Experience:

Senior Research Fellow
Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou
Sep. 2021 – Present

  • Leading research in radio synthesis, PET tracer development, translational medicine, and clinical research.
  • Developing synthetic routes for complex molecules and managing radiopharmaceutical projects from development to cGMP production.
  • Collaborating with departments for clinical research on novel PET tracers for neurological disorders and other diseases.

Post-doctoral Research Fellow (Supervisor: Prof. XU, Hao)
Department of Nuclear Medicine, The First Affiliated Hospital of Jinan University, Guangzhou
Jul. 2019 – Jul. 2021

  • Trained in radiochemistry, focusing on synthesizing and managing radioisotopes for pharmaceutical quality and safety.
  • Applied research in clinical translational medicine, bridging lab work to clinical applications.

🔬 Research Experience

 A.Development of PET Tracers/Radio Pharmacy
  1. Norepinephrine Transporter Targeted Tracer 18F-mFBG
    • Optimized labeling conditions, achieving a 17.8% radiochemical yield and >97% radiochemical purity within 70 mins.
    • Established SOP for clinical production, producing over 30 batches for more than 200 patients.
  2. Multi-functional Imaging Probe for Cu(II)
    • Designed and synthesized Cu(II)-specific probes for fluorescence and 19F MR imaging.
    • Applied the 18F-isotopologue to PET imaging in cynomolgus macaques.
  3. Vasopressin 1a Receptor Targeted Tracer
    • Developed an F-18 labeled PET tracer with high affinity for V1a receptor.
    • Conducted PET imaging and kinetic modeling studies in rhesus monkeys.
  4. TSPO Polymorphism-insensitive PET Tracers
    • Synthesized ligands for TSPO, demonstrating low sensitivity to TSPO rs6971 polymorphism.
    • Conducted PET imaging studies in rhesus monkeys and MCAO animal models.
  5. 11C-labeled Tracers for mGlu2 and FAAH
    • Contributed to the development and analysis of 11C-labeled PET tracers for mGlu2 and FAAH.
  6. New Synthons and Radiolabeling Strategies
    • Synthesized [18F]difluorocarbene and [18F]fluoro-[di-deutero]methyl tosylate, implementing automated radiolabeling programs.
B. Development of Fluorescent Probes
  1. Eu(III) Complex as Fluorescent Probe for Paralytic Shellfish Toxins
    • Designed and characterized europium complexes, proposing binding mechanisms using ion mobility mass spectrometry.
  2. Fluorescent Chemosensors for Polyamines
    • Synthesized TPE-conjugated pentiptycene derivatives, applied for spermine detection in artificial urine.
  3. Fluorescent Probes and 1H/19F MRI Contrast Agents for EBNA1 and EBV
    • Designed and synthesized Eu(III) and Gd(III) complexes for EBNA1, evaluating magnetic resonance properties.
C. Organic Syntheses
  1. Total Synthesis of Natural Product (±)-basiliolide B and Its Analogues
    • Performed a 15-step synthesis sequence, including large-scale reactions.
  2. Regioselective Pd-catalyzed (3+2) Cycloaddition of 2-pyrones with Vinylcyclopropanes
    • Achieved high yields and regioselectivity, broadening substrate scope for synthesis.

Publications Top Noted:

Paper Title: A PET-based radiomics nomogram for individualized predictions of seizure outcomes after temporal lobe epilepsy surgery
  • Authors: Huanhua Wu, Kai Liao, Zhiqiang Tan, Chunyuan Zeng, Biao Wu, Ziqing Zhou, Hailing Zhou, Yongjin Tang, Jian Gong, Weijian Ye, Xueying Ling, Qiang Guo, Hao Xu
  • Journal: Seizure: European Journal of Epilepsy
  • Volume: 119
  • Pages: 17-27
  • Year: 2024
Paper Title: Recent developments on PET radiotracers for TSPO and their applications in neuroimaging
  • Authors: Lingling Zhang, Kuan Hu, Tuo Shao, Lu Hou, Shaojuan Zhang, Weijian Ye, Lee Josephson, Jeffrey H Meyer, Ming-Rong Zhang, Neil Vasdev, Jinghao Wang, Hao Xu, Lu Wang, Steven H Liang
  • Journal: Acta Pharmaceutica Sinica B
  • Volume: 11
  • Pages: 373-393
  • Year: 2021
  • Citations: 114
Paper Title: Positron emission tomography in the neuroimaging of autism spectrum disorder: a review
  • Authors: Zhiqiang Tan, Huiyi Wei, Xiubao Song, Wangxiang Mai, Jiajian Yan, Weijian Ye, Xueying Ling, Lu Hou, Shaojuan Zhang, Sen Yan, Hao Xu, Lu Wang
  • Volume: 16
  • Pages: 806876
  • Year: 2022
  • Citations: 14
Paper Title: Sensitive and responsive pentiptycene-based molecular fluorescence chemosensor for detection of polyamines
  • Authors: Junrong Huang, Weijian Ye, Shuai Zha, Yezi Tao, Min Yang, Ke Huang, Jiqiang Liu, Yan-Ho Fung, Yang Li, Penghao Li, Lizhi Zhu, Chi-Sing Lee
  • Journal: Journal of Luminescence
  • Volume: 232
  • Pages: 117856
  • Year: 2021
  • Citations: 12
Paper Title: Recent developments on the application of molecular probes in multiple myeloma: Beyond [18F] FDG
  • Authors: Shaojuan Zhang, Jingjie Shang, Weijian Ye, Tianming Zhao, Hao Xu, Hui Zeng, Lu Wang
  • Volume: 10
  • Pages: 920882
  • Year: 2022
  • Citations: 1

 

Yongkang-Lyu-Biomedical-Best Researcher Award

Dr. Yongkang-Lyu-Biomedical-Best Researcher Award

Shandong Normal University-China

Author Profile

Early Academic Pursuits

Dr. Yongkang Lyu's academic journey began in earnest with his enrollment at Shandong Normal University in 2017, where he pursued a Bachelor of Science in Physics. During this period, Lyu demonstrated a profound commitment to both academic excellence and community service. He served as the editor of the college public account from 2017 to 2021, a role that involved managing content, coordinating contributions, and enhancing the visibility of the college's activities and achievements. His dedication extended beyond the confines of the university as he volunteered at the library from 2017 to 2019 and participated in volunteer education programs in western China, underscoring his commitment to education and community development.

Professional Endeavors

Dr. Yongkang Lyu's professional journey is marked by a blend of teaching and hands-on technical roles. In 2020, he gained practical teaching experience at Linqing Foreign Language Middle School in Shandong Province, where he applied his physics knowledge in an educational setting. From 2021 to 2023, he served as a graduate entrance examination professional course teacher, specializing in quantum mechanics, electromagnetism, optics, electrodynamics, thermodynamics, and statistical mechanics. His current role as a Lab Manager at Shandong Normal University, which he has held since 2021, involves overseeing lab operations, configuring high-performance computing servers, and maintaining Linux-based computational chemistry environments. Lyu's technical proficiency extends to the setup and maintenance of advanced computational tools and software, highlighting his versatile skill set.

Contributions and Research Focus

Dr. Yongkang Lyu's research is characterized by the integration of quantum chemistry, first-principles calculations, and molecular dynamics to conduct multi-scale simulations and analyses. His work spans a variety of fields, including biology, environmental science, materials science, chemical engineering, and energy. Notably, his research projects have focused on:

  1. Martini Coarse-Grained Force Field Simulations: Lyu has conducted simulations on multi-component phospholipid membranes to investigate the transmembrane mechanisms of peptides and the dynamic properties of membrane structures under external electric field driving. This research provides mechanistic analysis from both physical and morphological perspectives, offering theoretical guidance for drug design and pathology research.
  2. All-Atom Force Field Simulations: He has studied the dynamic processes of natural and artificial nucleic acid molecules adsorbed on graphene biosensors. By combining quantum chemistry calculations and wave function analysis, Lyu has explored changes in electronic structure and interaction nature due to adsorption, contributing valuable insights to the field of biosensing.
  3. Artificial Bee Colony Algorithm: Lyu has employed this algorithm for hierarchical precise conformational searches, studying the electronic structure characteristics of the lowest free energy conformations of dinitrophenol clusters in solvents. His work reveals interaction features of different solvent coordination numbers through wave function analysis and analyzes changes in infrared vibrational spectra.

Accolades and Recognition

Throughout his academic and professional career, Dr. Yongkang Lyu has been recognized for his contributions to both education and research. His role as an editor of the college public account and his volunteer work have earned him commendations for his leadership and commitment to community service. In the realm of research, his innovative approaches and significant findings in computational chemistry have garnered respect and acknowledgment from his peers and mentors alike.

Impact and Influence

Dr. Yongkang Lyu's work has had a substantial impact on multiple scientific fields. His research in computational chemistry and molecular dynamics provides critical insights that bridge physical methods and chemical theories, influencing areas such as drug design, pathology, and biosensing. His educational endeavors, particularly his teaching roles, have inspired and equipped students with a deep understanding of complex scientific concepts.

The Biomedical Award is a prestigious honor conferred upon individuals who have made significant contributions to the field of biomedical science. This accolade recognizes groundbreaking research, innovative technologies, and exceptional advancements that have a profound impact on healthcare and medical practices. Established to highlight excellence in biomedical research, the award serves as a testament to the dedication and ingenuity of scientists and researchers worldwide.

Legacy and Future Contributions

As Dr. Yongkang Lyu continues his Doctor of Science in Atomic and Molecular Physics at Shandong Normal University, his ongoing research and professional activities are poised to leave a lasting legacy. His current and future contributions are expected to advance the understanding of molecular interactions and dynamics, with potential applications in developing new technologies and therapeutic strategies. Lyu's commitment to combining theoretical and practical approaches ensures that his work will continue to influence and inspire future generations of scientists and educators.

In summary, Dr. Yongkang Lyu's academic pursuits, professional endeavors, and research focus reflect a remarkable blend of technical proficiency, innovative research, and community engagement. His contributions to science and education are noteworthy, and his future work promises to further advance the fields of computational chemistry and molecular physics.

Notable Publication