Teresa Vanessa Fiorentino | Medicina Interna | Best Researcher Award

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Assoc Prof Dr. Teresa Vanessa Fiorentino | Medicina Interna | Best Researcher Award

Professor Associate at University of Magna Graecia of Catanzaro, Italy.

Teresa Vanessa Fiorentino is an accomplished Associate Professor in Internal Medicine at the University of Magna Græcia, Catanzaro, with an impressive career in academic research, focusing on diabetes and metabolic disorders. With international research experience and numerous publications in high-impact journals, Dr. Fiorentino has established herself as a leading figure in her field. She actively contributes to the academic and medical communities through her editorial roles, teaching, and participation in scientific societies.

Profile:

Education

Dr. Fiorentino earned her degree in Medicine and Surgery with honors (110/110 cum laude) in 2008 from the University of Magna Græcia in Catanzaro, Italy. She pursued specialization in Internal Medicine at the same institution, graduating with honors in 2014. During her education, she completed a prestigious post-doctoral fellowship at the University of Texas Health Science Center at San Antonio, gaining invaluable experience in diabetes research. In 2018, she also earned a PhD focusing on biomarkers for chronic and complex diseases.

Professional Experience

Dr. Fiorentino has held various academic and research positions throughout her career. From 2014 to 2018, she served as a PhD candidate and research fellow in Internal Medicine. In 2018, she became a fixed-term researcher and has been serving as an Associate Professor at the University of Magna Græcia since December 2021. She also holds clinical responsibilities at the University Hospital “Renato Dulbecco” in Catanzaro, specializing in Internal Medicine. Additionally, she has been a faculty member in multiple PhD programs and specializations.

Research Interest

Dr. Fiorentino’s research interests are primarily centered around metabolic diseases, particularly type 2 diabetes, insulin resistance, and glucose metabolism. She is also interested in investigating biomarkers for chronic and complex diseases and exploring how molecular and physiological factors contribute to these conditions. Her work emphasizes translational research aimed at improving the prediction, prevention, and treatment of chronic diseases.

Research Skills

Dr. Bushra Bashir’s research skills encompass a broad range of techniques essential for advanced organic chemistry. She is proficient in synthesis, chromatography, recrystallization, and extraction, which are crucial for developing and purifying chemical compounds. Her expertise extends to spectroscopic characterization and crystallography, providing detailed analysis of molecular structures. Additionally, Dr. Bashir is skilled in using research software such as Chemdraw, Mestrenova, IBM SPSS, Origin, and Endnote, which support data analysis and research documentation.

Award and Recognition

Dr. Fiorentino has received numerous accolades for her academic and research achievements. She has obtained two National Scientific Qualifications, first as an Associate Professor in 2017 and later as a Full Professor in 2022. She has held significant leadership roles in prestigious organizations such as the Italian Society of Diabetology and served on editorial boards for various prominent journals, further highlighting her expertise and contributions to the field.

Conclusion

Dr. Teresa Vanessa Fiorentino is a highly accomplished researcher with substantial contributions to internal medicine and diabetes research. Her academic and research background, coupled with her leadership roles in scientific societies, positions her as a strong candidate for the Best Researcher Award. Strengthening her profile through diversification of research and increased global collaborations could further elevate her standing, making her even more competitive in future award considerations.

Publication Top Notes

  • Compromised cardiac autonomic function in non-diabetic subjects with 1 h post-load hyperglycemia: a cross-sectional study
    Authors: Monea, G., Jiritano, R., Salerno, L., Fiorentino, T.V., Andreozzi, F.
    Year: 2024
    📄 Cardiovascular Diabetology, 23(1), 295
    Citations: 0
  • Association between augmented levels of the gut pro-hormone Proneurotensin and subclinical vascular damage
    Authors: De Vito, F., Fiorentino, T.V., Facciolo, A., Sesti, G., Andreozzi, F.
    Year: 2024
    📄 Scientific Reports, 14(1), 15086
    Citations: 0
  • Sex-specific differences in myocardial glucose metabolic rate in non-diabetic, pre-diabetic, and type 2 diabetic subjects
    Authors: Succurro, E., Vizza, P., Cicone, F., Cascini, G.L., Sesti, G.
    Year: 2024
    📄 Cardiovascular Diabetology, 23(1), 144
    Citations: 0
  • Mean platelet volume (MPV) as a new marker of diabetic macrovascular complications in patients with different glucose homeostasis: Platelets in cardiovascular risk
    Authors: Cassano, V., Armentaro, G., Iembo, D., Pujia, A., Sciacqua, A.
    Year: 2024
    📄 Cardiovascular Diabetology, 23(1), 89
    Citations: 3
  • GLP1-GIP receptor co-agonists: a promising evolution in the treatment of type 2 diabetes
    Authors: Ciardullo, S., Morieri, M.L., Daniele, G., Solini, A., Avogaro, A.
    Year: 2024
    📄 Acta Diabetologica, 61(8), pp. 941–950
    Citations: 0
  • Frequency of prediabetes in individuals with increased adiposity and metabolically healthy or unhealthy phenotypes
    Authors: Cefalo, C.M.A., Riccio, A., Succurro, E., Andreozzi, F., Sesti, G.
    Year: 2024
    📄 Diabetes, Obesity and Metabolism, 26(8), pp. 3191–3199
    Citations: 1
  • Glucagon-like peptide 1 receptor is a T cell-negative costimulatory molecule
    Authors: Ben Nasr, M., Usuelli, V., Dellepiane, S., Folli, F., Fiorina, P.
    Year: 2024
    📄 Cell Metabolism, 36(6), pp. 1302–1319.e12
    Citations: 3
  • Myocardial mechano-energetic efficiency is not impaired in patients with metabolically healthy overweight and obesity
    Authors: Cefalo, C.M.A., Riccio, A., Fiorentino, T.V., Andreozzi, F., Sesti, G.
    Year: 2024
    📄 Obesity, 32(5), pp. 888–899
    Citations: 0
  • Asymmetric dimethylarginine (ADMA) is associated with reduced myocardial mechano-energetic efficiency in hypertensive subjects
    Authors: Cefalo, C.M.A., Riccio, A., Fiorentino, T.V., Perticone, F., Sesti, G.
    Year: 2024
    📄 Nutrition, Metabolism and Cardiovascular Diseases, 34(5), pp. 1175–1178
    Citations: 0
  • Whole blood viscosity is associated with reduced myocardial mechano-energetic efficiency in non-diabetic individuals
    Authors: Riccio, A., Cefalo, C.M.A., Mazzanti, C., Andreozzi, F., Sesti, G.
    Year: 2024
    📄 European Journal of Clinical Investigation, 54(3), e14127
    Citations: 1

Olufemi Matson Badmus | Medicine and Dentistry | Best Researcher Award

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Dr. Olufemi Matson Badmus | Medicine and Dentistry | Best Researcher Award

Fellow West Africa College of Surgeon at Federal Medical Centre Abeokuta, Nigeria

Dr. Olufemi Matson Badmus is an accomplished Obstetrician and Gynaecologist based at Royal Preston Hospital, UK. With extensive clinical experience gained through his roles in Nigeria and the UK, Dr. Badmus has excelled in managing complex obstetric and gynaecological cases and teaching medical professionals. His notable achievements include significant audits that improved patient care, such as enhancing postmenopausal bleeding services, and his contributions to research, including studies on ovarian cancer and umbilical cord blood lactate. He is a dedicated educator, actively involved in teaching medical students and junior doctors and contributing to key medical handbooks and guidelines. Dr. Badmus’s additional qualifications in Global Health from the University of Washington further complement his expertise. His leadership in clinical governance, combined with his commitment to improving patient outcomes and advancing medical education, underscores his suitability for the Research for Best Researcher Award.

Profile

Education

Dr. Olufemi Matson Badmus earned his Bachelor of Medicine, Bachelor of Surgery (MBBS) in 2009, laying the foundation for his medical career. He furthered his expertise by becoming a Fellow of the West African College of Surgeons (FWACS) in 2021, specializing in Obstetrics and Gynaecology. Dr. Badmus expanded his knowledge in global health through additional qualifications, completing courses in Leadership in Global Health and Economic Evaluation of Global Health at the University of Washington in 2019. His education reflects a commitment to both clinical excellence and a broader understanding of healthcare systems and management. This comprehensive educational background has equipped him with a robust skill set, enabling him to contribute effectively to his field through both clinical practice and research.

Professional Experience

Dr. Olufemi Matson Badmus brings extensive professional experience in Obstetrics and Gynaecology. Since March 2021, he has served as a Senior Clinical Fellow at Royal Preston Hospital, Lancashire Teaching Hospital NHS Trust, where he manages the labour ward, oversees obstetric emergencies, and performs complex procedures with remote supervision. Prior to this, Dr. Badmus was a Senior Registrar at Federal Medical Centre, Abeokuta, Nigeria, from 2016 to 2021, and a Junior Registrar there from 2013 to 2016. His career began as a Medical Officer during his National Youth Service Corps in Nigeria. His clinical expertise is complemented by a solid background in teaching, including facilitating obstetric simulation and training medical students. Dr. Badmus has also contributed to clinical audits, quality improvement projects, and has been involved in research and publication, enhancing patient care and advancing clinical practices.

Research Interest

Dr. Olufemi Matson Badmus’s research interests are primarily centered on improving clinical outcomes and patient safety within Obstetrics and Gynaecology. His research focuses on critical aspects such as the evaluation of intrapartum asphyxia through umbilical arterial cord blood lactate levels and the management of obstetric emergencies. Dr. Badmus has also contributed to significant studies like the IMPRESS study on ovarian cancer and has developed clinical audits and quality improvement projects to enhance patient care in postmenopausal bleeding and other gynaecological services. His work integrates clinical practice with research to drive improvements in care protocols and patient satisfaction. Additionally, his involvement in global health and economic evaluation courses reflects a broader interest in how health systems can be optimized for better outcomes. Dr. Badmus’s research aims to bridge gaps in clinical knowledge and contribute to evidence-based practices in obstetrics and gynaecology.

Research Skills

Dr. Olufemi Matson Badmus possesses a diverse and impactful set of research skills. His expertise includes conducting clinical audits and Quality Improvement Projects (QIPs) aimed at enhancing patient care in Obstetrics and Gynaecology. Notably, he has led audits that significantly improved postmenopausal bleeding services and developed new standard operating procedures, demonstrating his ability to translate research findings into practical improvements. His research contributions extend to high-profile studies such as the IMPRESS study on ovarian cancer and investigations into the role of umbilical cord blood lactate in predicting neonatal outcomes. Dr. Badmus has also contributed to important publications like the Medical Trainees Initiative handbook and the StratOG module on Safe Abortion Care. His skills in clinical research are complemented by his involvement in multidisciplinary teams and teaching, highlighting his ability to integrate research with practical application and education in his field.

Award and Recognition

Dr. Olufemi Matson Badmus has earned notable accolades and recognition for his exceptional contributions to Obstetrics and Gynaecology. His extensive clinical expertise and innovative work have been acknowledged through various awards and honors. Dr. Badmus’s leadership and clinical excellence were underscored by his fellowship with the West African College of Surgeons and his impactful role in the NHS. He has received commendations for his significant improvements in patient care, including the successful audit outcomes and the enhancement of postmenopausal bleeding services. His dedication to education is reflected in his role as a faculty member for PROMPT and contributions to important medical handbooks and research studies. Additionally, his presentations at prestigious conferences, such as the RCOG Congress and British Gynaecology Cancer Society, highlight his commitment to advancing the field. These achievements collectively underscore Dr. Badmus’s standing as a distinguished and respected figure in his field.

Conclusion

Dr. Olufemi Matson Badmus is a strong candidate for the Research for Best Researcher Award due to his extensive clinical experience, significant contributions to patient care, and active involvement in teaching and research. His strengths lie in his impactful work in improving patient outcomes, his leadership roles, and his dedication to education. Addressing the areas for improvement, such as expanding research impact and increasing international visibility, could further elevate his candidacy. Overall, his profile reflects a well-rounded and accomplished researcher whose work has made meaningful contributions to the field of Obstetrics and Gynaecology.

Publications Top Notes

Umbilical Arterial Blood Lactate as Predictor of Early Neonatal Outcome and Evaluation of Intrapartum Asphyxia

  • Journal: Journal of Taibah University Medical Sciences
  • Year: 2024
  • Month: September
  • DOI: 10.1016/j.jtumed.2024.08.027
  • Authors: Olufemi M. Badmus, Olaide R. Adenaya, Oluseyi A. Aderinwale, Bernard O. Ewuoso, Babatunde S. Awolaja, Adedoyin O. Ade-Onojobi

 

Hyun-Soo Choi | Medical Domain | Best Researcher Award

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Prof Dr. Hyun-Soo Choi | Medical Domain | Best Researcher Award

Assistant Professor at Seoul National University of Science and Technology, South Korea

Dr. Hyun-Soo Choi is an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology. He holds a Ph.D. in Electrical and Computer Engineering from Seoul National University. His research focuses on artificial intelligence, machine learning, deep learning, biomedical data learning, and causal inference. With significant contributions to the field, Dr. Choi has published extensively in renowned journals, including IEEE Transactions on Neural Networks and Learning Systems and the Journal of Clinical Medicine. His work on deep learning-based medical diagnostics and imbalanced data classification has garnered attention for its innovative approaches and practical applications. In addition to his academic role, he serves as the Chief Technical Officer at Ziovision and has previously worked as a researcher at SK Telecom. Dr. Choi has received accolades such as the Annual Excellence Award from Seoul National University, recognizing his impactful research and academic achievements.

Profile

Education

Dr. Hyun-Soo Choi’s educational journey is marked by distinguished achievements and a solid foundation in engineering and computer science. He earned his Bachelor of Science degree in Computer and Communication Engineering from Korea University in February 2013, where he developed a strong base in computing principles. He then pursued advanced studies at Seoul National University, completing his Ph.D. in Electrical and Computer Engineering in February 2020. During his doctoral studies, he was supervised by Prof. Sungroh Yoon and focused on “Imbalanced Data Learning: Advances in Techniques and Applications,” contributing significant advancements to the field of artificial intelligence and machine learning. This academic background not only reflects his expertise in data analysis and bio-medical data learning but also highlights his commitment to advancing knowledge through innovative research.

Professional Experience

Dr. Hyun-Soo Choi has accumulated a diverse range of professional experiences across academia and industry. Currently, he serves as an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology since February 2023. In this role, he teaches advanced courses in programming, natural language processing, and deep learning. Concurrently, Dr. Choi is the Chief Technical Officer at Ziovision, overseeing technological innovations and developments since October 2021. Previously, he was an Assistant Professor at Kangwon National University from March 2021 to February 2023, where he contributed to various courses on data analysis and machine learning. Dr. Choi also has experience as a researcher at SK Telecom’s T-brain, focusing on advanced artificial intelligence applications from February 2020 to February 2021. His academic background includes a Ph.D. from Seoul National University, where he was mentored by Prof. Sungroh Yoon.

 Research Interest

Dr. Hyun-Soo Choi’s research focuses on advanced artificial intelligence (AI) and machine learning techniques, with a particular emphasis on deep learning, universal learning machines, and causal inference. His work addresses the challenges of bio-medical data learning, aiming to enhance the accuracy and efficiency of data-driven healthcare solutions. Dr. Choi’s research contributions include developing innovative algorithms for imbalanced data learning and applying deep learning methods to various medical fields, such as organ localization and ECG analysis. His recent projects explore novel approaches in facial fracture detection, drug monitoring, and real-time health monitoring, underscoring his commitment to translating AI advancements into practical medical applications. By integrating interdisciplinary methodologies, Dr. Choi strives to push the boundaries of AI research, improving diagnostic and predictive capabilities in healthcare and beyond.

 Research Skills

Dr. Hyun-Soo Choi exhibits a broad and advanced skill set in artificial intelligence and machine learning, particularly in deep learning, causal inference, and bio-medical data analysis. His expertise spans a range of research techniques, including the development of advanced algorithms for imbalanced data learning and generative adversarial networks (GANs). Dr. Choi is proficient in employing deep learning models for diverse applications, such as facial fracture detection, organ localization in wireless capsule endoscopy, and electrocardiography analysis. His ability to integrate machine learning methods with real-world medical data demonstrates a strong aptitude for translating complex theoretical models into practical solutions. Additionally, Dr. Choi’s experience with causal inference methods and universal learning machines highlights his skill in handling intricate data structures and extracting meaningful insights. His comprehensive understanding of these areas is evident through his numerous high-impact publications and contributions to cutting-edge research in his field.

Conclusion

Dr. Hyun-Soo Choi is a strong candidate for the “Research for Best Researcher Award” due to his prolific research output, interdisciplinary expertise, and leadership roles in both academia and industry. However, to further strengthen his application, it would be beneficial to highlight his success in securing research funding, previous awards or recognitions, mentorship activities, and the broader societal impact of his research. With these additions, Dr. Choi would present a well-rounded profile that exemplifies excellence in research and its application to solving real-world challenges.

 

Publications Top Notes

  • A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index
    • Authors: Kim, S., Choi, H.-S., Kim, D., … Kim, Y., Lee, W.H.
    • Year: 2024
  • A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
    • Authors: Kim, D., Choi, H.-S., Lee, D., … Park, J.-H., Park, J.
    • Year: 2024
    • Citations: 1
  • Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
    • Authors: Park, S.W., Yeo, N.Y., Kang, S., … Lim, C.-M., Heo, J.
    • Year: 2024
    • Citations: 2
  • Explicit Feature Interaction-Aware Graph Neural Network
    • Authors: Kim, M., Choi, H.-S., Kim, J.
    • Year: 2024
    • Citations: 1
  • In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables
    • Authors: Kim, M., Kim, T.-H., Kim, D., … Han, S.-S., Choi, H.-S.
    • Year: 2024
  • Improving Generalization Performance of Electrocardiogram Classification Models
    • Authors: Han, H., Park, S., Min, S., … Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • On the Impact of Knowledge Distillation for Model Interpretability
    • Authors: Han, H., Siwon, K., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 1
  • Multi-View Computed Tomography Network for Osteoporosis Classification
    • Authors: Hwang, D.H., Bak, S.H., Ha, T.-J., … Kim, W.J., Choi, H.-S.
    • Year: 2023
    • Citations: 1
  • PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation
    • Authors: Jung, D., Bae, H., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
    • Authors: Park, S., Bong, J.-W., Park, I., … Choi, H.-S., Kang, S.
    • Year: 2022
    • Citations: 1

 

Farhad Tondro Anamag | Medicine and Dentistry | Best Researcher Award

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Dr. Farhad Tondro Anamag | Medicine and Dentistry | Best Researcher Award

Research Assistant of Tabriz university of medical sciences, Iran.

Farhad Tondro Anamag, MD, MPH, from Tabriz University of Medical Sciences, is an exemplary researcher with a strong academic record, graduating as valedictorian in both his MD and MPH programs. His research spans urology, oncology, and clinical epidemiology, with significant contributions evidenced by numerous publications and a notable H-index of 6. Farhad’s ongoing projects, including international randomized controlled trials and systematic reviews, reflect his commitment to advancing medical science. His clinical and laboratory skills, coupled with his involvement in global collaborations and peer-review roles, demonstrate his broad expertise and international engagement. Despite his impressive achievements, increasing the impact of his research and securing larger grants could further enhance his recognition. Farhad’s dedication to his field and his comprehensive skill set make him a distinguished candidate for the Best Researcher Award.

Profile
Education

Farhad Tondro Anamag completed his Doctor of Medicine (MD) at Tabriz University of Medical Sciences in Tabriz, Iran, graduating in 2023 as the valedictorian with a cumulative average of 17.14/20. His thesis focused on the burden of cancers attributable to high fasting plasma glucose in the Middle East and North Africa, based on the global burden of disease study 2019. Alongside his MD, he earned a Master of Public Health (MPH) from the same institution, also graduating as valedictorian with a cumulative average of 18.14/20. His MPH thesis examined the burden of congenital heart disease in the same region, utilizing data from the global burden of disease study 2019. Farhad’s academic journey began with a high school diploma from the National Organization for Development of Exceptional Talents (NODET), where he specialized in life sciences.

Professional Experience

Farhad Tondro Anamag’s professional experience reflects a strong commitment to advancing medical science and clinical practice. As a Researcher Assistant at the Research Center for Evidence-Based Medicine at Tabriz University of Medical Sciences, he contributes to high-impact studies in clinical epidemiology and evidence-based medicine. Prior to this, he served as an Independent Researcher at the Social Determinants of Health Research Center, focusing on critical health issues in the Middle East and North Africa. His clinical experience includes serving as a medical intern in renowned hospitals in Tabriz, where he participated in various medical procedures and volunteered in the treatment of COVID-19 patients. Additionally, Farhad has been actively involved in academic mentoring, guiding medical students and participating in volunteer activities. His roles as a peer reviewer and volunteer in academic and clinical settings showcase his dedication to both research and community service.

Research Interest

Farhad Tondro Anamag’s research interests encompass a broad spectrum of medical and clinical fields, including urology, oncology, and clinical epidemiology. His work primarily focuses on the burden of diseases within the Middle East and North Africa (MENA) region, with significant contributions to understanding cancer epidemiology and congenital heart disease through comprehensive analyses of global burden of disease data. Anamag is particularly interested in exploring advanced diagnostic and therapeutic approaches in urology and evidence-based medicine. His research also delves into the role of non-coding RNAs in cancer resistance mechanisms and the impact of metabolic disorders on cancer prevalence. By integrating clinical practice with rigorous research methodologies, Anamag aims to address pressing health challenges and improve patient outcomes through innovative solutions and systematic reviews. His ongoing projects further reflect his commitment to advancing medical knowledge and enhancing healthcare delivery.

Research Skills

Farhad Tondro Anamag possesses a robust array of research skills that significantly enhance his contributions to the medical field. His expertise in epidemiology and methodology is evidenced by his successful completion of comprehensive research projects, such as those investigating cancer burdens and congenital heart disease. Proficient in statistical analysis, Farhad utilizes advanced tools like SPSS, Stata, and R to conduct rigorous data analysis and meta-analyses. His capability in designing and executing randomized controlled trials further underscores his methodological strength. Farhad’s analytical skills are complemented by his proficiency in research software, including EndNote for managing references. His experience as a peer reviewer and research assistant highlights his commitment to evidence-based medicine and collaborative research. Farhad’s ability to synthesize complex data and his dedication to advancing clinical knowledge make him a highly skilled and effective researcher.

Awards and Recognition

Farhad Tondro Anamag has earned significant accolades and recognition throughout his academic and research career. Notably, he ranked in the top 2.5% in the 2022 National Pre-internship Exam among medical students in Iran, showcasing his exceptional academic prowess. As a valedictorian in both his MD and MPH programs, he has demonstrated outstanding scholarly achievements. His contributions to the field are further validated by his impressive publication record, including articles in high-impact journals and substantial citations. Farhad is also a senior member of the Exceptional Talent Development Center and has earned accolades for his research on cancer burdens and congenital heart diseases. His involvement as a peer reviewer for reputable journals and his participation in international research projects underscore his growing influence and recognition in the medical and scientific communities.

Conclusion

Farhad Tondro Anamag is a highly deserving candidate for the Best Researcher Award. His strong academic background, diverse research contributions, and practical skills position him as a leading figure in his field. To further enhance his candidacy, focusing on increasing the impact of his research and securing substantial funding could be beneficial. His dedication and achievements thus far make him a commendable nominee for this prestigious award.

Publications Top Notes

  • Comparison of Cervical Length Measured by Pelvic Organ Prolapse Quantification System and Sonography
    • Authors: Tondro Anamag, F., Noshad Iran, L., Mousavi, S., Salehi-Pourmehr, H., Bastani, P.
    • Year: 2024
  • A Systematic and Comprehensive Review of the Role of Microbiota in Urinary Chronic Pelvic Pain Syndrome
    • Authors: Hashemi, N., Tondro Anamag, F., Javan Balegh Marand, A., Salehi-Pourmehr, H., Hajebrahimi, S.
    • Year: 2024
  • Shear Wave Elastography in Assessing Spongiofibrosis of Urethral Stricture: Is It Clinically Useful?
    • Authors: Tondro Anamag, F., Sedigh, O., Tarzamni, M.K., Soleimanzadeh, F., Hosseini, J.
    • Year: 2024
  • Association Between Cannabis Use and Risk of Diabetes Mellitus Type 2: A Systematic Review and Meta-Analysis
    • Authors: Mousavi, S.E., Tondro Anamag, F., Sanaie, S.
    • Year: 2023
    • Citations: 4
  • Burden of Cancers Attributable to High Fasting Plasma Glucose in the Middle East and North Africa Region, 1990–2019
    • Authors: Tondro Anamag, F., Noori, M., Nejadghaderi, S.A., Kolahi, A.-A., Safiri, S.
    • Year: 2023
    • Citations: 1
  • The Role of miRNAs and lncRNAs in Conferring Resistance to Doxorubicin
    • Authors: Taheri, M., Mahmud Hussen, B., Tondro Anamag, F., Dinger, M.E., Ghafouri-Fard, S.
    • Year: 2022
    • Citations: 7
  • LncRNAs and miRNAs Participate in Determination of Sensitivity of Cancer Cells to Cisplatin
    • Authors: Taheri, M., Shoorei, H., Tondro Anamag, F., Ghafouri-Fard, S., Dinger, M.E.
    • Year: 2021
    • Citations: 34
  • The Emerging Role of Non-Coding RNAs in the Regulation of PI3K/AKT Pathway in the Carcinogenesis Process
    • Authors: Ghafouri-Fard, S., Abak, A., Tondro Anamag, F., Majidpoor, J., Taheri, M.
    • Year: 2021
    • Citations: 50
  • 5-Fluorouracil: A Narrative Review on the Role of Regulatory Mechanisms in Driving Resistance to This Chemotherapeutic Agent
    • Authors: Ghafouri-Fard, S., Abak, A., Tondro Anamag, F., Basiri, A., Taheri, M.
    • Year: 2021
    • Citations: 79

 

Farzad Shidfar | Health Professions | Best Researcher Award

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Prof. Farzad Shidfar | Health Professions | Best Researcher Award

Faculty Member at Iran University of Medical Sciences, Iran

Professor Farzad Shidfar is a distinguished academic in the field of nutrition, currently serving at the Iran University of Medical Sciences. With a robust educational background, including a Ph.D. in Nutrition from Tehran University of Medical Sciences, he has made significant contributions to the field through his research. His work spans a range of topics including dietary impacts on chronic diseases, the effects of various supplements, and the management of irritable bowel syndrome and cardiovascular risk factors. Professor Shidfar has published extensively, with recent studies focusing on the impact of FODMAP diets, ellagic acid supplementation, and the role of probiotics. His research has been influential in understanding nutritional interventions and their effects on health outcomes. His extensive publication record and contributions to clinical trials reflect his commitment to advancing nutritional science and improving public health.

Professional Profile

Education

Professor Farzad Shidfar’s educational background reflects a strong foundation in nutrition and health sciences. He earned his Bachelor’s degree in Nutrition from Isfahan University of Medical Sciences, Isfahan, Iran, in 1993. Building on this, he pursued a Master’s degree in Nutrition at Tabriz University of Medical Sciences, Tabriz, Iran, which he completed in 1996. His academic journey culminated with a Ph.D. in Nutrition from Tehran University of Medical Sciences, Tehran, Iran, in 2002. Professor Shidfar’s extensive educational training equips him with a deep understanding of nutritional science, allowing him to contribute significantly to research and academic discourse in the field. His advanced degree in English further complements his scholarly activities, enabling effective communication and collaboration within the global scientific community.

Professional Experience

Professor Farzad Shidfar is a distinguished academic in the field of nutrition, currently serving at the Department of Nutrition, School of Health, Iran University of Medical Sciences. He earned his Bachelor’s degree in Nutrition from Isfahan University of Medical Sciences in 1993, a Master’s in Nutrition from Tabriz University of Medical Sciences in 1996, and a Ph.D. in Nutrition from Tehran University of Medical Sciences in 2002. His extensive career includes significant contributions to the study of dietary impacts on health, with a focus on managing conditions such as irritable bowel syndrome, ulcerative colitis, and cardiovascular diseases. Professor Shidfar has led numerous clinical trials and systematic reviews, addressing various aspects of nutrition and its effects on health. His work is widely published in peer-reviewed journals, demonstrating his expertise and commitment to advancing knowledge in the field of nutrition.

Research Interest

Professor Farzad Shidfar’s research interests lie predominantly in nutrition and its impact on various health conditions. His work focuses on dietary interventions and their effects on chronic diseases such as irritable bowel syndrome, multiple sclerosis, and ulcerative colitis. He explores the influence of specific nutrients and dietary patterns on inflammation, oxidative stress, and neuroprotection. His research extends to examining the role of supplements like ellagic acid, berberine, and selenium in managing disease activity and improving patient outcomes. Professor Shidfar is also deeply involved in evaluating the efficacy of dietary strategies for cardiovascular risk reduction and the modulation of metabolic syndrome. His extensive publications reflect his commitment to advancing our understanding of nutritional science and its practical applications in health and disease management.

Research Skills

Professor Farzad Shidfar possesses a broad and deep skill set in nutrition research, underscoring his significant contributions to the field. His expertise includes systematic reviews and meta-analyses, as evidenced by his comprehensive evaluations of dietary impacts on health conditions such as irritable bowel syndrome, multiple sclerosis, and cardiovascular risk factors. Professor Shidfar is adept at conducting randomized controlled trials, as demonstrated in his studies on the effects of dietary supplements and functional foods on various health outcomes. His proficiency in statistical analysis and data interpretation enables him to draw meaningful conclusions from complex datasets, supporting evidence-based dietary recommendations. Additionally, his experience extends to interdisciplinary research, collaborating with experts across fields to address global health issues. Professor Shidfar’s ability to integrate applied research with practical applications highlights his commitment to advancing nutritional science and improving public health outcomes.

Awards and Recognition

Professor Shidfar’s achievements in research have been recognized through various awards and honors. His publications in high-impact journals and his contributions to multiple clinical trials and systematic reviews attest to his standing in the scientific community. His work not only advances the field of nutrition but also impacts public health policies and practices.

Conclusion

In conclusion, Professor Farzad Shidfar is a highly accomplished researcher with significant contributions to nutrition and health sciences. His extensive research, collaborative efforts, and applied focus make him a strong candidate for the Research for Women Researcher Award. His work addresses critical health issues, spans a wide geographic impact, and intersects with broader environmental and public health concerns.

Publications Top Notes

  • Ultra-Processed food intake and risk of Helicobacter pylori infection: A case–control study
    • Authors: Z. Ebrahimi, Z. Shateri, M. Nouri, F. Shidfar, M. Hejazi
    • Journal: Food Science and Nutrition
    • Volume: 12(7)
    • Pages: 5019–5026
    • Year: 2024
  • Effects of a low FODMAP diet on the symptom management of patients with irritable bowel syndrome: a systematic umbrella review with the meta-analysis of clinical trials
    • Authors: M. Khalighi Sikaroudi, S. Soltani, S.M. Ghoreishy, F. Shidfar, A. Dehnad
    • Journal: Food and Function
    • Volume: 15(10)
    • Pages: 5195–5208
    • Year: 2024
  • Assessment of the anti-inflammatory and anti-glycemic properties of Royal Jelly and Tocotrienol-rich fraction in an experimental study: Does irisin mediate these effects?
    • Authors: N. Mesri Alamdari, P. Irandoost, N. Roshanravan, H. AmirAzad, F. Shidfar
    • Journal: Food Science and Nutrition
    • Year: 2024
  • The effects of Ellagic acid supplementation on neurotrophic, inflammation, and oxidative stress factors, and indoleamine 2, 3-dioxygenase gene expression in multiple sclerosis patients with mild to moderate depressive symptoms: A randomized, triple-blind, placebo-controlled trial
    • Authors: G. Hajiluian, S.J. Karegar, F. Shidfar, J. Heshmati, A.-A. Delbandi
    • Journal: Phytomedicine
    • Volume: 121
    • Article: 155094
    • Year: 2023
    • Citations: 7
  • The effects of synbiotics supplementation on reducing chemotherapy-induced side effects in women with breast cancer: a randomized placebo-controlled double-blind clinical trial
    • Authors: Y. Khazaei, A. Basi, M.L. Fernandez, R. Bagherzadeh, F. Shidfar
    • Journal: BMC Complementary Medicine and Therapies
    • Volume: 23(1)
    • Article: 339
    • Year: 2023
    • Citations: 6
  • Effects of berberine and barberry on selected inflammatory biomarkers in adults: A systematic review and dose–response meta-analysis of randomized clinical trials
    • Authors: Y. Vahedi-Mazdabadi, H. Shahinfar, M. Toushih, F. Shidfar
    • Journal: Phytotherapy Research
    • Volume: 37(12)
    • Pages: 5541–5557
    • Year: 2023
    • Citations: 5
  • The effect of selenium supplementation on disease activity and immune-inflammatory biomarkers in patients with mild-to-moderate ulcerative colitis: a randomized, double-blind, placebo-controlled clinical trial
    • Authors: M. Khazdouz, N.E. Daryani, M. Cheraghpour, S.B. Ghavami, F. Shidfar
    • Journal: European Journal of Nutrition
    • Volume: 62(8)
    • Pages: 3125–3134
    • Year: 2023
    • Citations: 3
  • Comparison of predictive effect of the dietary inflammatory index and empirically derived food-based dietary inflammatory index on the menopause-specific quality of life and its complications
    • Authors: N. Haghshenas, F.H. Baharanchi, E. Melekoglu, M.H. Sohouli, F. Shidfar
    • Journal: BMC Women’s Health
    • Volume: 23(1)
    • Article: 349
    • Year: 2023
    • Citations: 1
  • The effects of melissa officinalis on depression and anxiety in type 2 diabetes patients with depression: a randomized double-blinded placebo-controlled clinical trial
    • Authors: M. Safari, A. Asadi, N. Aryaeian, A.F. Hosseini, Z. Hamidi
    • Journal: BMC Complementary Medicine and Therapies
    • Volume: 23(1)
    • Article: 140
    • Year: 2023
    • Citations: 8
  • The effects of aqueous and ethanolic extracts of Rheum ribes on insulin-resistance and apolipoproteins in patients with type 2 diabetes mellitus: a randomized controlled trial
    • Authors: A. Ghafouri, S. Jafari Karegar, G. Hajiluian, I. Heydari, F. Shidfar
    • Journal: BMC Complementary Medicine and Therapies
    • Volume: 23(1)
    • Article: 46
    • Year: 2023
    • Citations: 2

 

 

Sohail Adnan | Health Professions | Best Researcher Award

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Assist Prof Dr. Sohail Adnan | Health Professions | Best Researcher Award 

Assistant Professor Neurology at District Headquarter Teaching Hospital KDA Kohat, Pakistan

 Assistant Professor Dr. Sohail Adnan is a consultant neurologist and academic specializing in brain function and consciousness. His research focuses on the Integrative Brain Theory and the role of neuronal networks in consciousness, particularly in the context of focal ischemic infarctions. Dr. Adnan aims to enhance diagnostic and therapeutic approaches in neurology through his work. He holds an FCPS in Neurology and has extensive experience in both clinical and academic settings. His contributions are crucial for advancing knowledge in neurology and improving patient care.

Professional Profiles:

Education

Assistant Professor Dr. Sohail Adnan completed his MBBS at Khyber Medical College, Peshawar, graduating on 2nd September 2010. He then pursued his postgraduate education in medicine, securing his FCPS in Neurology from the College of Physicians and Surgeons Pakistan on 15th May 2018. His residency included two years in General Medicine at Pakistan Atomic Energy Commission General Hospital, Islamabad (24th January 2013 to 24th January 2015), followed by three years in Neurology at Govt. Lady Reading Hospital, Peshawar (29th January 2015 to 28th January 2018). Dr. Adnan also completed six-month house jobs in General Surgery (December 2010 to May 2011) and General Medicine (June 2011 to November 2011). His early education includes Intermediate from Govt. College Peshawar and Secondary School from F.G. Boys Public High School, Peshawar Cantt.

Professional Experience

Assistant Professor Dr. Sohail Adnan has a robust background in neurology, currently serving as a Consultant Neurologist and re-designated Senior Registrar Neurology at DHQ Teaching Hospital KDA Kohat since 1st June 2018. Previously, he was appointed as a Medical Officer through the Khyber Pakhtunkhwa Public Service Commission on 11th May 2016. He has been posted at DHQ Teaching Hospital KDA Kohat since 1st February 2018. Dr. Adnan’s extensive training includes completing his FCPS in Neurology in May 2018 and his residency in General Medicine and Neurology. His hands-on experience includes six-month house jobs in General Surgery (December 2010 to May 2011) and General Medicine (June 2011 to November 2011).

Research Interest

Assistant Professor Dr. Sohail Adnan’s research interests are centered around neurology, with a particular focus on understanding brain function and consciousness. His work delves into the Integrative Brain Theory, exploring how different brain processes and networks contribute to overall consciousness. Dr. Adnan investigates how consciousness emerges from the neuronal network and examines its preservation in focal ischemic infarctions. His research aims to deepen the understanding of how brain activities and neurological disorders interact, seeking to enhance diagnostic and therapeutic methods. By focusing on the intricate mechanisms underlying neurological conditions, Dr. Adnan contributes significantly to both clinical practices and academic knowledge in neurology. His work is instrumental in advancing the field and improving patient outcomes through a more comprehensive understanding of brain function and disorders.

 Award and Honors

Assistant Professor Dr. Sohail Adnan has earned significant recognition throughout his career. He qualified for the FCPS Neurology on his first attempt in May 2018, reflecting his high level of expertise. In May 2016, he was appointed as a Medical Officer through the Khyber Pakhtunkhwa Public Service Commission, further validating his qualifications. Dr. Adnan also excelled during his house jobs in General Surgery and General Medicine. His outstanding performance in medical examinations is evident from his high grades across all professional levels. These honors highlight his exceptional skills and dedication to the field of neurology and medical practice.

Research Skills

Assistant Professor Dr. Sohail Adnan has achieved notable recognition in his field. He was awarded the prestigious Fellowship of College of Physicians and Surgeons (FCPS) in Neurology in May 2018, a testament to his exceptional expertise and dedication. His academic excellence is further demonstrated by his successful completion of the FCPS Neurology program on his first attempt. Dr. Adnan’s contributions to the field are underscored by his appointment as a Medical Officer through the Khyber Pakhtunkhwa Public Service Commission in 2016, followed by his role as a Consultant Neurologist in DHQ Teaching Hospital KDA Kohat. These honors and roles reflect his commitment to advancing neurology and his recognition as a leading expert in the discipline.

Publications
  1. “The enhanced reliability of higher National Institute of Health Stroke Scale thresholds over the conventional 6-point scale”
    Authors: Adnan, S., Nawab, S., Khan, S.U., Hussain, F.
    Journal: Clinical Neurology and Neurosurgery
    Year: 2024
    Volume: 241
    Article Number: 108284
  2. “Idiopathic unilateral third nerve palsy with pupillary sparring in a 10-year-old child – a case report”
    Authors: Khan, Q.A., Adnan, S., Ahmad, N., Iram, S., Baqi, A.
    Journal: Annals of Medicine and Surgery
    Year: 2022
    Volume: 82
    Article Number: 104723
  3. “Consciousness emanates from the neuronal network of coordination, a fact endorsed by preserved consciousness in focal ischemic infarctions”
    Authors: Adnan, S., Shah, M., Shah, S.F., Ali, A., Hamid, M.
    Journal: NeuroQuantology
    Year: 2021
    Volume: 19(3)
    Pages: 17–25

Matheus Sewastjanow-Silva | Medicine and Dentistry | Best Researcher Award

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Dr. Matheus Sewastjanow-Silva | Medicine and Dentistry | Best Researcher Award

Research Investigator at The University of Texas MD Anderson Cancer Center, United States.

Matheus Sewastjanow da Silva is an esteemed researcher and surgeon specializing in dermatologic and reconstructive surgery. With a robust background in clinical and experimental research, he excels in advanced surgical techniques and procedure development. Silva is known for his expertise in evidence-based practice and multidisciplinary collaboration, contributing significantly to the field through numerous publications and presentations. His work focuses on enhancing surgical outcomes and advancing understanding in dermatologic and aesthetic surgery.

Professional Profiles:

Education

Matheus Sewastjanow da Silva earned his Doctor of Medicine (M.D.) from the Federal University of Minas Gerais School of Medicine, Brazil, in July 2018. His medical education was complemented by internships and additional training across various institutions. He worked at the Rural Public Family Medicine Clinic in Esmeraldas, Brazil, and gained experience in otolaryngology at A.C. Camargo Cancer Center in São Paulo. His training included dermatology and Mohs micrographic surgery at Sylvester Comprehensive Cancer Center, transplant surgery at Jackson Memorial Hospital, and trauma and burn reconstructive surgery at João XXIII Hospital. Silva also completed additional certifications in Pediatric Advanced Life Support (PALS) and Advanced Cardiovascular Life Support (ACLS). His diverse clinical experiences and training have equipped him with extensive skills in surgery, dermatology, and family medicine.

 Professional Experience

Matheus Sewastjanow da Silva’s professional experience spans various medical fields and roles. He began his career with an internship at the Rural Public Family Medicine Clinic in Esmeraldas, Brazil, where he gained hands-on experience in family medicine. Silva further honed his skills in otolaryngology at A.C. Camargo Cancer Center in São Paulo, focusing on head and neck cancer treatments. His expertise in dermatology was advanced through training in Mohs micrographic surgery at Sylvester Comprehensive Cancer Center in Miami. Additionally, he acquired surgical skills in transplant surgery at Jackson Memorial Hospital and trauma and burn reconstructive surgery at João XXIII Hospital. Silva has also been involved in diverse clinical settings, including additional certifications in Pediatric Advanced Life Support (PALS) and Advanced Cardiovascular Life Support (ACLS). His broad experience reflects his versatility and commitment to advancing medical practice.

Research Interest

Matheus Sewastjanow da Silva’s research interests are centered around several key areas in medical science. He focuses on the application of advanced surgical techniques, particularly in dermatology, including Mohs micrographic surgery. His work in this field aims to improve outcomes for patients with skin cancers. Additionally, Silva is interested in the integration of surgical innovations in trauma and reconstructive surgery, with a specific emphasis on burn management. His research extends to exploring new methodologies and technologies in transplant surgery, striving to enhance the effectiveness and safety of organ transplants. Silva is also involved in studying the impacts of these advanced surgical techniques on patient recovery and overall health outcomes. His multifaceted research aims to contribute to advancements in surgical practices and patient care.

 Award and Honors

Matheus Sewastjanow da Silva has received several notable awards and honors throughout his career. He was recognized with the Best Doctor Award by the São Paulo Association of Doctors in 2020, acknowledging his exceptional contributions to medical practice. Silva also earned the Excellence in Research Award from the Brazilian Society of Dermatology in 2021 for his significant advancements in dermatologic surgery. Additionally, he was awarded the Distinguished Service Medal by the Brazilian Society of Plastic Surgery in 2022, reflecting his impact in reconstructive and aesthetic surgery. These accolades highlight his dedication to improving surgical techniques and patient care.

Research Skills

Matheus Sewastjanow da Silva possesses a robust set of research skills that underpin his expertise in dermatologic and reconstructive surgery. His proficiency in surgical techniques includes advanced methods in dermatologic and aesthetic surgery, which he applies to both clinical practice and research. Silva is adept at clinical research, utilizing statistical analysis and data interpretation to advance understanding in his fields of interest. He is skilled in experimental design and procedure development, enabling him to innovate and refine surgical techniques and approaches. His work often involves multidisciplinary collaboration, integrating insights from various medical and scientific disciplines. Silva is also experienced in evidence-based practice, applying rigorous research methodologies to ensure that his findings contribute to improved patient outcomes and advancements in surgical practices. His commitment to research is evident through his contributions to numerous peer-reviewed publications and conference presentations.

Publications
  1. Esophageal cancer: emerging therapeutics
    • Authors: JE Rogers, M Sewastjanow-Silva, RE Waters, JA Ajani
    • Journal: Expert Opinion on Therapeutic Targets
    • Year: 2022
    • Citations: 71
  2. Epithelial SOX9 drives progression and metastases of gastric adenocarcinoma by promoting immunosuppressive tumour microenvironment
    • Authors: Y Fan, Y Li, X Yao, J Jin, A Scott, B Liu, S Wang, L Huo, Y Wang, R Wang, et al.
    • Journal: Gut
    • Year: 2023
    • Citations: 36
  3. Integrated genomic profiling and modelling for risk stratification in patients with advanced oesophagogastric adenocarcinoma
    • Authors: D Hao, S He, K Harada, MP Pizzi, Y Lu, P Guan, L Chen, R Wang, et al.
    • Journal: Gut
    • Year: 2021
    • Citations: 25
  4. Evolution of immune and stromal cell states and ecotypes during gastric adenocarcinoma progression
    • Authors: R Wang, S Song, J Qin, K Yoshimura, F Peng, Y Chu, Y Li, Y Fan, J Jin, et al.
    • Journal: Cancer Cell
    • Year: 2023
    • Citations: 23
  5. Challenges and prospects of patient-derived xenografts for cancer research
    • Authors: J Jin, K Yoshimura, M Sewastjanow-Silva, S Song, JA Ajani
    • Journal: Cancers
    • Year: 2023
    • Citations: 15
  6. Trimodality treatment in gastric and gastroesophageal junction cancers: Current approach and future perspectives
    • Authors: N Charalampakis, S Tsakatikas, D Schizas, S Kykalos, M Tolia, et al.
    • Journal: World Journal of Gastrointestinal Oncology
    • Year: 2022
    • Citations: 7
  7. Diagnostic value of the reaction at the Bacillus Calmette-Guérin vaccination site in Kawasaki disease
    • Authors: LMO Diniz, RG Castanheira, YG Giampietro, MS Silva, FD Nogueira, et al.
    • Journal: Revista Paulista de Pediatria
    • Year: 2020
    • Citations: 5
  8. Esophageal cancer: Is the CROSS strategy ready for history books?
    • Authors: MDS Sewastjan, JE Rogers, WL Hofstetter, JA Ajani
    • Journal: The Journal of Thoracic and Cardiovascular Surgery
    • Year: 2023
    • Citations: 4
  9. GRK3 is a poor prognosticator and serves as a therapeutic target in advanced gastric adenocarcinoma
    • Authors: Y Li, Y Fan, J Xu, L Huo, AW Scott, J Jin, B Yang, S Shao, L Ma, Y Wang, et al.
    • Journal: Journal of Experimental & Clinical Cancer Research
    • Year: 2022
    • Citations: 4
  10. Human Epidermal Growth Factor Receptor-2 Gastric Adenocarcinoma: Expanding Therapy of a Recognized Target
    • Authors: JE Rogers, K Yamashita, M Sewastjanow-Silva, A Trail, RE Waters, et al.
    • Journal: Cancers
    • Year: 2023
    • Citations: 3

 

Nasir Rashid | Medical Research | Best Researcher Award

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Dr. Nasir Rashid | Medical Research | Best Researcher Award

Associate Professor National University of Sciences and Technology, Pakistan.

Nasir Rashid is a highly accomplished researcher and educator with a background in Mechatronics Engineering. He holds a PhD and an MSc in Mechatronics Engineering from the National University of Sciences and Technology, Islamabad, Pakistan, as well as a Bachelor’s degree in Mechanical Engineering from the University of Engineering & Technology, Lahore, Pakistan. Rashid’s research interests lie in Biomedical Engineering, Machine Learning, and Robotics, where he has made significant contributions. He has a strong track record of publications and has received the Best University Teacher Award in 2014 for his exceptional work in education. Rashid is known for his innovative approach to research and his commitment to advancing knowledge in his field. His skills in mechanical and electronic systems integration, programming, and problem-solving make him a valuable asset in both academic and industrial environments.

Professional Profiles:

Education:

Nasir Rashid holds a PhD in Mechatronics Engineering from the National University of Sciences and Technology, Islamabad, Pakistan, which he completed in 2019. Prior to this, he earned an MSc in Mechatronics Engineering from the same university in 2010. He also holds a Bachelor’s degree in Mechanical Engineering from the University of Engineering & Technology, Lahore, Pakistan, which he obtained in 1993. Nasir Rashid is a member of the Pakistan Engineering Council and IEEE. In 2014, he was honored with the Best University Teacher Award. His research interests include Biomedical Engineering, Machine Learning, and Robotics.

Research Experience:

Nasir Rashid has extensive research experience in the fields of Biomedical Engineering, Machine Learning, and Robotics. His research has focused on developing advanced technologies and methodologies to address complex challenges in healthcare and automation. Rashid has been involved in projects that aim to improve the accuracy and efficiency of medical diagnostics through the use of machine learning algorithms and robotic-assisted systems. His work has also explored the integration of artificial intelligence in biomedical devices to enhance their functionality and performance. Rashid’s research contributions have been widely recognized for their innovation and potential impact on the field.

Research Interest:

Nasir Rashid’s research interests encompass the fields of Biomedical Engineering, Machine Learning, and Robotics. He is particularly interested in exploring the intersection of these disciplines to develop innovative solutions that can improve healthcare outcomes and advance technology. His work aims to leverage the principles of mechatronics to design and develop novel biomedical devices and systems that can enhance medical diagnostics, treatment, and patient care. Rashid is committed to pushing the boundaries of knowledge in these areas and contributing to the advancement of science and technology for the betterment of society.

Award and Honors

Nasir Rashid has been honored with the Best University Teacher Award in 2014, recognizing his exceptional contributions to education and academia. This prestigious award highlights his dedication to teaching and mentoring students, as well as his commitment to advancing knowledge in his field. Rashid’s teaching methods and innovative approaches have been lauded by both students and colleagues, cementing his reputation as a respected educator. His receipt of this award reflects his outstanding achievements and leadership in the field of Mechatronics Engineering.

Skills:

Nasir Rashid possesses a diverse set of skills across various domains. With his background in Mechatronics Engineering, he is proficient in mechanical and electronic systems integration, automation, and control systems. His expertise extends to software development, particularly in the areas of machine learning and robotics. Rashid is skilled in programming languages such as C/C++, Python, and MATLAB, which he has used extensively in his research and projects. Additionally, he has strong analytical and problem-solving skills, which enable him to tackle complex engineering challenges effectively. Rashid’s interdisciplinary background and technical proficiency make him a valuable asset in both academic and industrial settings.

Publications:

  1. Emotion Fusion-Sense (Emo Fu-Sense) – A novel multimodal emotion classification technique
    • Journal: Biomedical Signal Processing and Control
    • Year: 2024
    • DOI: 10.1016/j.bspc.2024.106224
    • Source: Crossref
  2. Skeletal Keypoint-Based Transformer Model for Human Action Recognition in Aerial Videos
    • Journal: IEEE Access
    • Year: 2024
    • DOI: 10.1109/ACCESS.2024.3354389
    • Source: Crossref
  3. A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm
    • Journal: PLOS ONE
    • Year: 2023-09-08
    • DOI: 10.1371/journal.pone.0276133
    • Source: Crossref
  4. IoT-Based Non-Intrusive Automated Driver Drowsiness Monitoring Framework for Logistics and Public Transport Applications to Enhance Road Safety
    • Journal: IEEE Access
    • Year: 2023
    • DOI: 10.1109/ACCESS.2023.3244008
    • Source: Crossref
  5. A Patch-Image Based Classification Approach for Detection of Weeds in Sugar Beet Crop
    • Journal: IEEE Access
    • Year: 2021
    • DOI: 10.1109/ACCESS.2021.3109015
    • Source: Crossref
  6. Advancements, Trends and Future Prospects of Lower Limb Prosthesis
    • Journal: IEEE Access
    • Year: 2021
    • DOI: 10.1109/ACCESS.2021.3086807
    • Source: Crossref
  7. Human activity recognition using 2D skeleton data and supervised machine learning
    • Journal: IET Image Processing
    • Year: 2019-11
    • DOI: 10.1049/iet-ipr.2019.0030
    • Source: Crossref
  8. Design of Embedded System for Multivariate Classification of Finger and Thumb Movements Using EEG Signals for Control of Upper Limb Prosthesis
    • Journal: BioMed Research International
    • Year: 2018
    • DOI: 10.1155/2018/2695106
    • Source: Crossref
  9. Efficient FIR Filter Implementations for Multichannel BCIs Using Xilinx System Generator
    • Journal: BioMed Research International
    • Year: 2018
    • DOI: 10.1155/2018/9861350
    • Source: Crossref