Beyazit Bestami Yuksel | Biomedical and Healthcare Applications | Best Researcher Award

Best Researcher Award

Beyazit Bestami YUKSEL
Istanbul Technical University
Beyazit Bestami YUKSEL
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57221928158
Documents 4
Citations 5
h-index 2
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards
ORCID 0000-0001-5060-6236

This academic recognition article presents a structured overview of the scholarly profile of Beyazit Bestami YUKSEL and considers publication activity, citation indicators, disciplinary specialization, and measurable research visibility within biomedical and healthcare application studies. Evaluation under the Best Researcher Award framework emphasizes documented scholarly dissemination, research continuity, and engagement with contemporary scientific inquiry and interdisciplinary innovation.[1]

Abstract

The Best Researcher Award evaluation framework recognizes measurable academic contribution through transparent indicators that include publication output, citation performance, research continuity, and thematic relevance within a defined academic field. Beyazit Bestami YUKSEL’s scholarly profile reflects documented participation in biomedical and healthcare applications supported by indexed publications and observable citation activity. Evaluation emphasizes evidence of research dissemination, engagement with scientific inquiry, and contribution to emerging interdisciplinary developments. Academic recognition within this framework considers both quantitative research indicators and broader scholarly visibility, providing a structured perspective on academic performance and demonstrated involvement in contemporary biomedical and healthcare-oriented research activities..[1]

Keywords

  • Biomedical Research
  • Healthcare Applications
  • Academic Recognition
  • Citation Analysis
  • Research Evaluation

Introduction

Recognition frameworks in contemporary research environments commonly integrate quantitative and qualitative indicators to assess scholarly development. Metrics such as indexed publications, citation accumulation, and disciplinary focus contribute to broader assessments of academic visibility and sustained research engagement.[1]

Research Profile

The available scholarly indicators associated with Beyazit Bestami YUKSEL demonstrate participation in research activity connected to biomedical and healthcare applications. Indexed publication records and citation measures provide a structured basis for evaluating research continuity and academic dissemination.[1]

Research Contributions

Research contributions are considered through documented scholarly outputs and their relevance to evolving healthcare technologies and biomedical implementation contexts. Such contributions support knowledge exchange and provide evidence of active participation within the scientific ecosystem.[2]

Publications

Indexed publication activity serves as a measurable indicator of research dissemination. Publication records contribute to scholarly visibility and facilitate evaluation across citation databases and institutional assessment frameworks.[1]

Research Impact

Citation accumulation and h-index values provide contextual indicators of scholarly engagement and knowledge circulation. These measures represent one component of broader academic evaluation and are interpreted together with publication quality and disciplinary relevance.[1]

Award Suitability

Within the Best Researcher Award framework of the Global Tech Excellence Awards, suitability assessment considers publication evidence, scholarly engagement, and measurable research indicators. Recognition reflects documented academic participation rather than promotional endorsement.[3]

Conclusion

The scholarly profile summarized in this article provides an academic overview of Beyazit Bestami YUKSEL based on available research indicators and recognized evaluation dimensions. The profile illustrates documented engagement in biomedical and healthcare applications and supports structured consideration within academic recognition contexts.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Beyazit Bestami YUKSEL, Author ID 57221928158. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57221928158
  2. Global Tech Excellence Awards.

    Global Tech Excellence Awards


  3. Credit Card Fraud Detection with NCA Dimensionality Reduction.
    https://www.researchgate.net/publication/348973412_Credit_Card_Fraud_Detection_with_NCA_Dimensionality_Reduction

  4. Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption.
    https://www.researchgate.net/publication/385529440_Advancing_Biomedical_Signal_Security_Real-Time_ECG_Monitoring_with_Chaotic_Encryption

Mohammad Mahdi Ershadi | Biomedical and Healthcare Applications | Research Excellence Award

Research Excellence Award

Mohammad Mahdi Ershad
Affiliation Amirkabir University of Technology
Country Iran
Scopus 57212585059
Documents 22
Citations 194
h-index 10
Subject Area Biomedical and Healthcare Applications
Event Global Tech Excellence Awards

Mohammad Mahdi Ershadi is a researcher affiliated with Amirkabir University of Technology whose scholarly work has contributed to the advancement of biomedical and healthcare applications through interdisciplinary technological research. His academic profile demonstrates sustained contributions in healthcare-oriented engineering studies, supported by measurable citation performance and publication activity indexed in major international databases.[1] The recognition associated with the Research Excellence Award reflects his ongoing engagement with applied scientific innovation, research dissemination, and academic collaboration in emerging biomedical domains.[2]

Abstract

This article presents an overview of the academic achievements, publication record, and research impact associated with Mohammad Mahdi Ershadi in the field of biomedical and healthcare applications. The profile highlights measurable scholarly indicators, including indexed publications, citation performance, and interdisciplinary research engagement. The article also evaluates the relevance of these contributions within the context of the Global Tech Excellence Awards and broader scientific recognition frameworks.[1][3]

Keywords

Biomedical engineering, healthcare applications, academic recognition, research impact, citation analysis, scientific publications, interdisciplinary technology, healthcare innovation, Scopus indexing, scholarly contributions.[2]

Introduction

The increasing integration of engineering methodologies within healthcare systems has generated substantial opportunities for interdisciplinary scientific advancement. Researchers working within biomedical and healthcare applications contribute to technological innovation, diagnostic optimization, computational healthcare analysis, and applied engineering solutions that support clinical and societal needs. Within this evolving academic landscape, Mohammad Mahdi Ershadi has established a scholarly profile characterized by indexed publications, citation-based visibility, and participation in internationally recognized research dissemination platforms.[1]

Academic evaluation metrics such as document count, citation performance, and h-index values are commonly used to assess research productivity and influence across scientific disciplines. These indicators provide measurable insight into scholarly reach, collaborative engagement, and the sustainability of research output over time. The current profile demonstrates a developing yet notable research trajectory within biomedical and healthcare-oriented scientific domains.[3]

Research Profile

Mohammad Mahdi Ershadi is affiliated with Amirkabir University of Technology, a recognized institution with established contributions to engineering and technological sciences. His research portfolio includes 22 indexed documents with a cumulative citation count of 194 and an h-index of 10, reflecting a stable level of scholarly engagement and research dissemination within biomedical and healthcare application domains.[1]

The profile reflects interdisciplinary integration between healthcare technologies and engineering methodologies, emphasizing the practical implementation of scientific knowledge within biomedical contexts. Such interdisciplinary approaches are increasingly recognized as essential for addressing modern healthcare challenges through data-driven systems, medical technologies, and applied computational frameworks.

Research Contributions

The research contributions associated with Mohammad Mahdi Ershadi primarily align with biomedical and healthcare-oriented technological studies. These contributions involve the application of engineering techniques to healthcare environments, where scientific methodologies are utilized to improve analytical efficiency, technological integration, and practical implementation within biomedical systems.

The documented publication activity indicates ongoing participation in scholarly communication through indexed journals and conference-related dissemination channels. Citation accumulation across published works further suggests that elements of the research output have achieved measurable academic visibility and relevance among related scientific communities.

Publications

The publication profile includes peer-reviewed scholarly outputs indexed through international academic databases. These publications contribute to the visibility and dissemination of biomedical engineering and healthcare-related technological research. Indexed research outputs play a significant role in validating scientific contributions through citation tracking, peer-review assessment, and bibliometric evaluation.[1] [4]

DOI-linked publications facilitate long-term accessibility and citation reliability within digital academic infrastructures. The use of persistent identifiers further supports research transparency, discoverability, and scholarly preservation across multidisciplinary scientific environments. [5]

Research Impact

Research impact is commonly evaluated using citation indicators, publication metrics, and scholarly influence across academic communities. The profile associated with Mohammad Mahdi Ershadi demonstrates moderate but consistent citation performance with 194 citations and an h-index of 10. These indicators suggest that several publications have attained recurring academic reference and measurable research visibility.[1]

Within biomedical and healthcare applications, citation-based impact often reflects the relevance of research methodologies, technological applicability, and interdisciplinary adaptability. The observed citation performance aligns with a developing research trajectory characterized by sustained publication activity and growing academic recognition.

Award Suitability

The scholarly profile of Mohammad Mahdi Ershadi demonstrates characteristics commonly associated with research recognition frameworks, including indexed publication activity, citation accumulation, interdisciplinary engagement, and institutional research affiliation. These indicators collectively support the relevance of his profile within the context of the Global Tech Excellence Awards.[2]

Recognition within academic award systems typically considers research productivity, scholarly visibility, and the potential societal relevance of scientific contributions. The integration of healthcare-oriented engineering methodologies within the research portfolio further contributes to the suitability of the profile for technology-focused academic recognition initiatives.

Conclusion

Mohammad Mahdi Ershadi has developed a research profile characterized by interdisciplinary biomedical and healthcare-oriented scientific contributions supported through indexed publications and measurable citation performance. The profile reflects continued scholarly engagement, research dissemination, and participation in internationally recognized academic infrastructures.[1]

The documented academic indicators and research activities demonstrate alignment with the objectives of professional scientific recognition programs such as the Global Tech Excellence Awards. Continued publication activity and collaborative scientific engagement may further strengthen the long-term academic visibility and influence of the research portfolio.[2]

References

    1. Elsevier. (n.d.). Scopus author details: Mohammad Mahdi Ershadi, Author ID 57212585059. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57212585059
    2. Global Tech Excellence Awards. (n.d.). Official event and award information.
      https://globaltechexcellence.com/
    3. ORCID. (n.d.). ORCID record for Mohammad Mahdi Ershadi.
      https://orcid.org/0000-0002-7409-6469
    4. Entropy-guided semi-supervised framework for robust chest X-ray segmentation using dynamic competition and patch-wise contrastive learning.
      https://www.sciencedirect.com/science/article/abs/pii/S1746809426004878?via%3Dihub
    5. Decoding DQM for experimental insights on data quality metadata’s impact on decision-making process efficacy.
      https://www.researchgate.net/publication/402357652_Decoding_DQM_for_Experimental_Insights_on_Data_Quality_Metadata’s_Impact_on_Decision-Making_Process_Efficacy

Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

Dr . Arsene Jaures Ouemba Tasse | Biomedical and Healthcare Applications | Best Researcher Award

Postdoc at University of the Witwatersrand, Johannesburg, South Africa

Dr. Arsène Jaures Ouemba Tasse is a dynamic Postdoctoral Research Fellow at the University of the Witwatersrand, South Africa, with a specialized focus in applied dynamical systems and mathematical modeling of infectious diseases. He holds a Ph.D. in Mathematics from the University of Dschang, Cameroon, and has published extensively in high-impact journals on topics including Ebola, COVID-19, Typhoid, and Monkeypox. His research contributions have global significance, particularly in understanding disease transmission dynamics and control strategies. Dr. Ouemba Tasse has participated in numerous international conferences, received prestigious research grants, and supervised both undergraduate and postgraduate students. He is also an active reviewer for several scientific journals and has contributed to collaborative projects funded by renowned institutions like the Bill & Melinda Gates Foundation. His growing leadership in academic events, combined with his commitment to public health through mathematics, positions him as a highly influential figure in the field of mathematical epidemiology.

Professional Profile 

Education🎓 

Dr. Arsène Jaures Ouemba Tasse has a strong academic foundation in mathematics, beginning with a Bachelor’s degree from the University of Yaoundé I in 2009. He pursued his Honours and Master’s degrees in Mathematics at the University of Dschang, Cameroon, where he graduated with distinction. His academic journey culminated in earning a Ph.D. in Applied Dynamical Systems and Mathematical Modeling from the same institution in 2021. His doctoral studies equipped him with advanced knowledge in differential equations, epidemiological modeling, partial differential equations, and numerical analysis. Additionally, he obtained a Secondary and High School Teacher’s Diploma in Mathematics from the Higher Teacher’s Training College of Yaoundé in 2008, highlighting his early commitment to education. To enhance his international research engagement, he completed an English language course at the University of the Witwatersrand in 2023. His academic pathway reflects both depth and breadth in mathematical sciences, with a strong emphasis on applied research for real-world impact.

Professional Experience📝

Dr. Ouemba Tasse brings over 15 years of professional experience in teaching, research, and academic mentorship. Since November 2022, he has served as a Postdoctoral Research Fellow at the University of the Witwatersrand, Johannesburg, where he engages in cutting-edge research, student supervision, and academic event organization. Before this, he spent over a decade teaching mathematics in various high schools in Cameroon, including the General High School Tsela and the General Bilingual High School Bameka. His university-level experience includes lecturing and tutoring in courses such as algebra, calculus, mathematical modeling, and discrete population dynamics. He has participated in academic panels, supervised postgraduate research groups, and served as an external examiner. His professional journey reflects a seamless transition from secondary education to advanced research, demonstrating versatility, leadership, and commitment to educational excellence in both national and international academic environments.

Research Interest🔎

Dr. Ouemba Tasse’s research interests are centered around mathematical epidemiology, applied dynamical systems, and optimal control theory, particularly in the context of infectious disease modeling. He focuses on developing and analyzing mathematical models that simulate the transmission dynamics of diseases such as Ebola, COVID-19, Typhoid, Malaria, Monkeypox, and HIV. His models incorporate various control strategies including awareness programs, vaccination, isolation, and traditional versus modern treatment methods. He also works on the mathematical formulation and numerical solutions using nonstandard finite difference schemes that ensure stability and accuracy in epidemic simulations. His recent projects explore the co-dynamics of multiple infections and the role of environmental and behavioral factors in disease propagation. Additionally, he is interested in the intersection of public health and mathematics, including modeling cancer progression and mother-to-child HIV transmission. His interdisciplinary approach bridges mathematical theory and health policy, offering vital insights for effective disease control and healthcare intervention strategies.

Award and Honor🏆

Dr. Ouemba Tasse has received numerous accolades and support from prestigious institutions for his impactful research in mathematical modeling. He was awarded a Postdoctoral Fellowship by the University of the Witwatersrand, along with funding from the Bill & Melinda Gates Foundation for a cervical cancer modeling project. He received full sponsorships from the Simons Foundation and the Pacific Institute of Mathematical Sciences to attend international conferences and research schools in Canada and the USA. He won first prize in Analysis at a postgraduate workshop in Cameroon and was a recipient of the Humboldt Foundation’s funding during the Dschang Humboldt Kolleg. His academic excellence has been further recognized through grant awards from the Society for Mathematical Biology and participation in global conferences like BIOMATH and CIMPA. These honors not only acknowledge his research excellence but also reflect his growing reputation as a leading contributor to mathematical modeling in epidemiology and public health.

Research Skill🔬

Dr. Ouemba Tasse possesses advanced research skills in both theoretical and computational aspects of applied mathematics. He is proficient in developing deterministic and stochastic models of infectious diseases, applying optimal control techniques, and performing stability analysis of equilibrium states. His expertise in nonstandard finite difference schemes enhances the accuracy and robustness of numerical simulations. He is well-versed in software tools such as MATLAB, MATHEMATICA, R, and LaTeX, which he uses extensively for simulations, data analysis, and scientific writing. His research includes data fitting and parameter estimation, and he has applied these techniques in real-world epidemiological studies. He also has strong collaborative skills, having led and co-supervised numerous multidisciplinary projects and study groups. Additionally, he contributes as a peer reviewer for reputed journals and book chapters, showcasing his analytical precision and subject-matter authority. These combined skills make him an adept and resourceful researcher capable of addressing complex public health challenges through mathematics.

Conclusion💡

Dr. Arsène Jaures Ouemba Tasse is a highly promising and competitive candidate for the Best Researcher Award, especially in fields involving epidemiological modeling, applied mathematics, and computational public health. His international exposure, robust publication record, academic mentoring, and societal relevance of his research make him exceptionally well-qualified for this honor.

While still in an early career stage, his trajectory shows exemplary leadership potential and deep scholarly contributions. With minor improvements such as increasing PI roles and broader interdisciplinary outreach, he would not only be eligible but also a standout award recipient.

Publications Top Noted✍

  1. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease
    Authors: T. Berge, A.J. Ouemba Tassé, H.M. Tenkam, J. Lubuma
    Year: 2018
    Citations: 34

  2. Title: Dynamics of host-reservoir transmission of Ebola with spillover potential to humans
    Authors: B. Tsanou, J.M.S. Lubuma, A.J.O. Tassé, H.M. Tenkam
    Year: 2018
    Citations: 22

  3. Title: Ebola virus disease dynamics with some preventive measures: a case study of the 2018–2020 Kivu outbreak
    Authors: A.J. Ouemba Tasse, B. Tsanou, J. Lubuma, J.L. Woukeng, F. Signing
    Year: 2022
    Citations: 6

  4. Title: Nonstandard finite difference schemes for some epidemic optimal control problems
    Authors: A.J.O. Tassé, V.B. Kubalasa, B. Tsanou
    Year: 2025
    Citations: 2

  5. Title: A metapopulation model with exit screening measure for the 2014–2016 West Africa Ebola virus outbreak
    Authors: A.J.O. Tassé, B. Tsanou, J.L. Woukeng, J.M.S. Lubuma
    Year: 2024
    Citations: 1

  6. Title: A mathematical model to study herbal and modern treatments against COVID-19
    Authors: A.J. Ouemba Tassé, B. Tsanou, C. Kwa Kum, J. Lubuma
    Year: 2024
    Citations: 1

  7. Title: Assessment of effective isolation, safe burial and vaccination optimal controls for an Ebola epidemic model
    Authors: A.J.O. Tassé, B. Tsanou, J.M.S. Lubuma, J.L. Woukeng
    Year: 2020
    Citations: 1

  8. Title: Mathematical modelling of the dynamics of typhoid fever and two modes of treatment in a Health District in Cameroon
    Authors: T.J. Tsafack, C.K. Kum, A.J.O. Tassé, B. Tsanou
    Year: 2025

  9. Title: A mathematical model on the impact of awareness and traditional medicine in the control of Ebola: case study of the 2014–2016 outbreaks in Sierra Leone and Liberia
    Authors: A.J. Ouemba Tassé, B. Tsanou, C.K. Kum, J. Lubuma
    Year: 2024

  10. Title: Influence of the co-dynamics Ebola-COVID-19 in the population
    Authors: A.J.O. Tassé, J. Lubuma, B. Tsanou
    Year: 2023

  11. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study in Rwanda
    Authors: J.M.S. Lubuma, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

  12. Title: Modélisation mathématique de la transmission de la maladie à virus Ebola et stratégies de contrôle
    Authors: A.J.O. Tasse
    Year: 2021

  13. Title: Mathematical modeling of contact tracing as a control strategy of Ebola virus disease (Duplicate entry)
    Authors: B. Tsanou, A.J. Ouemba Tassé, H.M. Tenkam, J.M.S. Lubuma
    Year: 2018

  14. Title: Investigating the impact of isolation, self-isolation and environmental transmission on the spread of COVID-19: case study of Rwanda (Duplicate entry)
    Authors: M.S.L. Jean, A.J.O. Tassé, F. Signing, B. Tsanou
    Year: 2023

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Em-on Chaiprateep at Faculty of Integrative Medicine, Thailand

Profiles

Orcid

Google Scholar

📚 Summary

Dr. Em-on Chaiprateep is an Assistant Professor at the Faculty of Integrative Medicine, Rajamangala University of Technology Thanyaburi, Thailand. With extensive experience in pharmaceutical sciences, clinical research, and regulatory affairs, her expertise spans dermal drug delivery, traditional medicine, and integrative healthcare. She has contributed significantly to academia through teaching, research, and leadership roles.

Education

  • Doctor of Philosophy (Ph.D.) – Philipps-Universität Marburg, Germany (2021–present)
    Research: Essential influences on dermal penetration efficacy of active compounds
  • Master’s in Pharmacy, Food Chemistry & Medical Nutrition – Chulalongkorn University, Thailand (2008–2011)
  • Bachelor’s in Pharmacy, Pharmaceutical Clinic – Silpakorn University, Thailand (2002–2006)

👩‍🏫 Work Experience

  • Rajamangala University of Technology Thanyaburi (2015–Present)
    • Assistant to the Dean for Research (2024–Present)
    • Assistant Professor, Faculty of Integrative Medicine (2018–Present)
    • Lecturer, Faculty of Integrative Medicine (2015–2018)
    • Head of Regulatory Affairs Pharmacist (Traditional Medicine)
  • Eastern Asia University (2011–2014) – Lecturer, Assistant to the Dean for Academic Affairs
  • Ramathibodi Hospital (2008–2011, 2006–2007) – Research Assistant in clinical trials
  • Phyathai II Hospital (2007–2008) – Hospital Pharmacist

🔬 Research Interests

  • Dermal drug delivery and penetration efficacy
  • Traditional and integrative medicine
  • Pharmaceutical formulation and regulatory affairs
  • Patient counseling and medication compliance

💡Skills

  • Technical Skills: SPSS, Epi-data, PowerPoint, Excel, Word
  • Research & Data Analysis: Clinical trials, pharmaceutical formulation, statistical analysis
  • Regulatory Affairs: Traditional medicine, pharmaceutical compliance
  • Teaching & Mentorship: Pharmacy education, student research supervision

 

Publications

Microneedle-Assisted Delivery of Curcumin: Evaluating the Effects of Needle Length and Formulation

  • Authors: Em-on Chaiprateep, Soma Sengupta, Cornelia M Keck
  • Journal: Micromachines
  • Year: 2024

Influence of Dose, Particle Size and Concentration on Dermal Penetration Efficacy of Curcumin

  • Authors: Em-on Chaiprateep, Sabrina Wiemann, Ralph W Eckert, Christian Raab, Soma Sengupta, Cornelia M Keck
  • Journal: Pharmaceutics
  • Year: 2023

Optimization of water-based ultrasonic-microwave assisted extraction (UMAE) of bioactive compounds from Garcinia mangostana pericarp

  • Authors: Juthaporn Kwansang, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Complementary and Integrative Medicine
  • Year: 2022

Influence of mechanical skin treatments on dermal penetration efficacy of active ingredients

  • Authors: Cornelia M Keck, Em-on Chaiprateep, Henriette Dietrich, Soma Sengupta
  • Journal: Pharmaceutics
  • Year: 2022

Optimization ultrasonic–microwave-assisted extraction of phenolic compounds from Clinacanthus nutans using response surface methodology

  • Authors: Siriphatr Chamutpong, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Advanced Pharmaceutical Technology & Research
  • Year: 2021

Mrs. Mădălina Țicolea | Healthcare Applications | Best Researcher Award

Mrs. Mădălina Țicolea | Healthcare Applications | Best Researcher Award

Mădălina Țicolea at Iuliu Hațieganu University of Medicine and Pharmacy, Romania

Profiles

Google Scholar

Research Gate

📚 Summary

Mrs. Mădălina Țicolea, Assistant Lecturer and PhD student at Iuliu Hațieganu University, excels in Pathophysiology with a focus on dietary supplements and renal conditions. Her work combines teaching and cutting-edge research, aiming to impact healthcare significantly.

Education

  • B.Sc. in Medicine (2019): Thesis on Hypericum capitatum extract and inflammation.
  • M.Sc. in Nutrition and Lifestyle (2022): Thesis on dietary aspects in Chronic Kidney Disease.
  • Currently Pursuing PhD: Research on dietary supplements and renal pathologies.

💼 Professional Experience

  • University Assistant at Pathophysiology Discipline, teaching and organizing practical activities (Feb 2023–Present).
  • Medic Rezident Nefrolog at Iuliu Hațieganu University, specializing in nephrology and urinary system imaging (2020–Present).
  • Assistant Universitar at the Department of Pathophysiology, focusing on oxidative stress and experimental research (2021–Present).

🔬 Research Interests

Mrs. Mădălina’s research investigates the role of dietary supplements in managing glomerulopathies and inflammation. She employs murine models to explore the impact of these supplements on acute and chronic renal conditions

 

Publications

Phytochemical Profile and Antidiabetic, Antioxidant, and Anti-Inflammatory Activities of Gypsophila paniculata Ethanol Extract in Rat Streptozotocin-Induced Diabetes Mellitus

  • Authors: Lia-Oxana Usatiuc, Marcel Pârvu, Raluca Maria Pop, Ana Uifălean, Dan Vălean, Csilla-Eniko Szabo, Mădălina Țicolea, Florinela Adriana Cătoi, Floricuța Ranga, Alina Elena Pârvu
  • Journal: Antioxidants
  • Year: 2024

Phytochemical Composition Antioxidant and Anti-Inflammatory Activity of Artemisia dracunculus and Artemisia abrotanum

  • Authors: Mădălina Țicolea, Raluca Maria Pop, Marcel Pârvu, Lia-Oxana Usatiuc, Ana Uifălean, Floricuța Ranga, Alina Elena Pârvu
  • Journal: Antioxidants
  • Year: 2024

Brown Tumors: The Hidden Face of Primary and Renal Hyperparathyroidism Amid Real-Life Settings

  • Authors: Mara Carsote, Mihai-Lucian Ciobica, Oana-Claudia Sima, Ana Valea, Cosmina Ioana Bondor, Andreea Geleriu, Madalina Ticolea, Claudiu Nistor, Crina Claudia Rusu
  • Journal: Journal of Clinical Medicine
  • Year: 2024

Triiodothyronine and Protein Malnutrition Could Influence Pulse Wave Velocity in Pre-Dialysis Chronic Kidney Disease Patients

  • Authors: Crina Claudia Rusu, Ina Kacso, Diana Moldovan, Alina Potra, Dacian Tirinescu, Maria Ticala, Ancuta M Rotar, Remus Orasan, Cristian Budurea, Andrada Barar, Florin Anton, Ana Valea, Cosmina Ioana Bondor, Madalina Ticolea
  • Journal: Diagnostics
  • Year: 2023

Remarkable rutin-rich Hypericum capitatum extract exhibits anti-inflammatory effects on turpentine oil-induced inflammation in rats

  • Authors: Anca D Farcas, Augustin C Mot, Cezara Zagrean-Tuza, Madalina Ticolea, Bogdan Sevastre, Muhittin Kulak, Radu Silaghi-Dumitrescu, Alina Parvu
  • Journal: BMC complementary and alternative medicine
  • Year: 2019

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).

📖 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