Tag: Biomedical Science Impact Award

Sunday Adelakun | Biomedical Sciences | Excellence in Research

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Dr. Sunday Adelakun | Biomedical Sciences | Excellence in Research

Lecturer and Researcher at Federal University of Technology, Akure, Nigeria

Dr. Sunday Adelakun is a researcher and lecturer specializing in reproductive anatomy, endocrinology, and neuroscience. He is currently pursuing a Ph.D. in Anatomy at Ladoke Akintola University of Technology, Nigeria, with a focus on the effects of 1-Isothiocyanato-4-methylsulfonyl Butane on cisplatin-induced reproductive toxicity in male rats. He holds an M.Sc. in Anatomy from the University of Lagos and a B.Tech. in Anatomy from Ladoke Akintola University of Technology. Dr. Adelakun’s research interests center around finding alternative therapies for reproductive dysfunction and neurodegenerative diseases, utilizing medicinal herbs and dietary supplements. He has extensive experience in animal modeling, neurobehavioral analysis, and molecular techniques, and has published several peer-reviewed articles. He currently serves as a Lecturer and Group Leader at the Federal University of Technology, Akure, Nigeria.

Profile

Google Scholar

ORCID

Education

Dr. Sunday Adelakun is currently pursuing a Ph.D. in Anatomy at Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria, with an expected completion date in January 2024. His thesis is focused on Histomorphological and Immunohistochemical Studies on the Effects of 1-Isothiocyanato-4-methylsulfonyl Butane on Cisplatin-Induced Pituitary-Gonadal Axis Toxicity in Male Sprague-Dawley Rats, under the supervision of Prof. Olalekan Wasiu Akintunde. Dr. Adelakun completed his Master of Science (M.Sc.) in Anatomy at the University of Lagos, Lagos State, Nigeria, in December 2012, where his thesis examined Anthropometric Characterization of Skeletal Breadth Variations Amongst Adolescents in Lagos Urban Schools, supervised by Prof. Mike Ibeabuchi. He also earned a Bachelor of Technology (B.Tech.) in Anatomy, graduating with honors in December 2009 from Ladoke Akintola University of Technology. His undergraduate thesis was titled Effect of Crude Ethanol Leaves Extract of Azadirachta Indica on Male Reproductive Organs of Adult Wistar Rats, supervised by Prof. Olalekan Wasiu Akintunde.

Professional Experience

Dr. Sunday Adelakun has extensive professional experience in both research and academia. He currently serves as a Lecturer I and Group Leader of the Neurobehavioral and Aging Laboratory at the Federal University of Technology Akure (FUTA), Nigeria, since 2022. His academic roles also include Lecturer II and Assistant Lecturer positions at FUTA, where he has contributed significantly to teaching and mentoring students in the Department of Human Anatomy. Dr. Adelakun has also worked as a Research Assistant in Prof. Akintunde’s Laboratory at Ladoke Akintola University of Technology, focusing on reproductive and neuro-endocrinology. Earlier in his career, he served as a Gross Anatomy Demonstrator at Ladoke Akintola University, where he trained pre-clinical medical, dental, and health science students in anatomical dissections. In addition to his academic roles, Dr. Adelakun has held volunteer positions, including serving as a community health officer and being actively involved in cancer awareness initiatives. His research work spans reproductive anatomy, endocrinology, and neuroscience, with a particular emphasis on finding alternative therapies for reproductive dysfunction and neurodegenerative diseases.

Research Interests

Dr. Sunday Adelakun’s research interests are primarily focused on reproductive anatomy, endocrinology, and neuroscience. He aims to explore alternative therapies for male and female reproductive dysfunction, as well as sperm DNA fragmentation in neoplastic patients caused by anti-cancer agents. His research seeks to improve outcomes for patients and healthcare workers through the use of effective medicinal herbs and dietary supplements. Additionally, Dr. Adelakun is dedicated to investigating treatments for neurodegenerative diseases and ovarian and testicular dysfunction in animal models. By combining his expertise in molecular biology, neurobehavioral analysis, and biochemistry, he seeks to develop innovative therapeutic approaches to address complex reproductive and neurodegenerative disorders.

Research Skills

Dr. Sunday Adelakun possesses a wide array of advanced research skills and techniques in various fields, including reproductive anatomy, endocrinology, and neuroscience. He is proficient in working with animal models such as mice, rats, rabbits, and pigs, utilizing diverse injection techniques (IV, IP, IM, SC) and specialized methods like stereotaxic, intrathecal, and intracerebroventricular injections. His expertise extends to neurobehavioral analysis, employing methods such as the Morris water maze, Y-maze, and rotarod to assess cognitive and motor functions. Dr. Adelakun is highly skilled in microscopy techniques, including brightfield, fluorescence, confocal, and electron microscopy. He is experienced in protein chemistry, conducting assays like Western blotting, IHC, and ELISA, and is adept at cell biology techniques, including cell culture, fractionation, and gene expression analysis. Furthermore, his proficiency in genomics and proteomics, including molecular docking and bioinformatics, enhances his ability to design and analyze experiments. Dr. Adelakun also has extensive experience with electrophysiology, including patch-clamp techniques, as well as brain calcium imaging protocols, making him a highly skilled researcher in his field.

Awards and Honors

Dr. Sunday Adelakun has earned several notable recognitions for his outstanding contributions to research and academia. His research work has been widely acknowledged, with his publications garnering significant attention in the scientific community. He has received awards for his excellence in research, particularly in the fields of reproductive anatomy, endocrinology, and neuroscience. Dr. Adelakun’s commitment to advancing knowledge in these areas has also led to his active involvement in various community health initiatives, such as his work with the Betty Ayahun Cancer Awareness Group and his role in Oyo State’s health officer programs. These honors and his dedication to both academic and community service underscore his passion for improving public health and advancing scientific research.

Publications

Nutritional supplementation of gallic acid ameliorates Alzheimer-type hippocampal neurodegeneration and cognitive impairment induced by aluminum chloride exposure in adult

  • Authors: B Ogunlade, SA Adelakun, JA Agie
  • Journal: Drug and Chemical Toxicology
  • Year: 2022
  • Volume: 45(2), Pages: 651-662
  • Cited by: 54

Nitrite-induced testicular toxicity in rats: therapeutic potential of walnut oil

  • Authors: SA Adelakun, VO Ukwenya, BS Ogunlade, JA Aniah, AG Ibiayo
  • Journal: JBRA Assisted Reproduction
  • Year: 2019
  • Volume: 23(1), Pages: 15
  • Cited by: 43

Interventions of aqueous extract of Solanum melongena fruits (garden eggs) on mercury chloride induced testicular toxicity in adult male Wistar rats

  • Authors: SA Adelakun, VO Ukwenya, GT Akingbade, OD Omotoso, JA Aniah
  • Journal: Biomedical Journal
  • Year: 2020
  • Volume: 43(2), Pages: 174-182
  • Cited by: 39

Histomorphometric studies of the effects of Telfairia occidentalis on alcohol-induced gonado-toxicity in male rats

  • Authors: EN Akang, AA Oremosu, AA Osinubi, OO Dosumu, TO Kusemiju, …
  • Journal: Toxicology Reports
  • Year: 2015
  • Volume: 2, Pages: 968-975
  • Cited by: 39

Ergonomic analysis of classroom furniture in a Nigerian university

  • Authors: OP Fidelis, B Ogunlade, SA Adelakun, O Adukwu
  • Journal: Nigerian Journal of Technology
  • Year: 2018
  • Volume: 37(4), Pages: 1154-1161
  • Cited by: 29

Vitamin B12 ameliorates Tramadol-induced oxidative stress, endocrine imbalance, apoptosis and NO/iNOS/NF-κB expression in Sprague Dawley rats through regulatory mechanism in the

  • Authors: SA Adelakun, VO Ukwenya, OW Akintunde
  • Journal: Tissue and Cell
  • Year: 2022
  • Volume: 74, Article: 101697
  • Cited by: 26

Sulforaphane response on aluminum-induced oxidative stress, alterations in sperm characterization and testicular histomorphometry in Wistar rats

  • Authors: B Ogunlade, SA Adelakun, K Iteire
  • Journal: International Journal of Reproductive BioMedicine
  • Year: 2020
  • Volume: 18(8), Pages: 611
  • Cited by: 24

Conclusion

Dr. Sunday Adelakun’s extensive academic background, innovative research, and significant contributions to reproductive anatomy, endocrinology, and neurosciences, combined with his advanced technical skills and impressive publication record, make him a strong candidate for the Research for Excellence in Research recognition. His work is both impactful and forward-thinking, contributing significantly to the fields of reproductive health, neurodegenerative diseases, and pharmacological therapy development.

 

Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

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Prof. Ali Motie Nasrabadi | Biomedical Engineering | Best Researcher Award

Professor at Shahed University, Iran

Prof. Ali Motie Nasrabadi is a renowned academic and researcher in the field of Biomedical Engineering, specializing in the intelligent processing of EEG signals, computational neuroscience, and artificial intelligence in healthcare applications. He earned his Ph.D. in Biomedical Engineering from Amirkabir University of Technology in 2004, where his research focused on evaluating consciousness and hypnosis depth through EEG signal analysis. With a career spanning decades, Prof. Nasrabadi has contributed extensively to EEG/ERP signal processing, nonlinear and chaotic systems, and physiological modeling. He has published over 100 peer-reviewed papers and continues to influence the fields of biomedical signal processing and neuroscience.

Profile

Education

Prof. Ali Motie Nasrabadi has a distinguished academic background in Biomedical Engineering, with his education centered at the Amirkabir University of Technology in Tehran, Iran. He earned his Ph.D. in Biomedical Engineering in March 2004, with a dissertation titled “Quantitative and Qualitative Evaluation of Consciousness Variation and Depth of Hypnosis through Intelligent Processing of EEG Signals.” His doctoral research focused on advanced signal processing techniques applied to biomedical data. Prior to that, he completed his M.Sc. in Biomedical Engineering in September 1998, where he specialized in the “Design and Implementation of an 8-channel PC-Based Electroencephalograph.” This work demonstrated his early interest in biomedical instrumentation and signal analysis. Prof. Nasrabadi began his academic journey with a B.Sc. in Electronic Engineering in February 1994, focusing on the “Design and Implementation of Control of Satellite Dish to Get Better Signal.” His strong foundation in electronic engineering and biomedical systems has been integral to his success in applying engineering principles to healthcare challenges.

Professional Experience

Prof. Ali Motie Nasrabadi has had a distinguished career across both academic and industrial sectors. He has served as the Vice Chancellor for Support and Resource Management at Shahed University from 2017 to 2021, where he played a pivotal role in overseeing resource management. Prior to this, he was the Director General of Equipment at Shahed University, a position he held from 2004 to 2021. His expertise in biomedical signal processing has led to consultancy roles, including being an EEG Signal Processing Consultant at the National Brain Mapping Laboratory (NBML) since 2016. In this capacity, he has also designed and organized brain signal processing workshops at NBML. Prof. Nasrabadi has been actively involved in industrial and technology consulting as well. Since 2014, he has been a Technology and E-commerce Consultant at Shenasa Venture Capital and Trigup Accelerator. Earlier in his career, he worked as a researcher at the Research Center for Intelligent Signal Processing (RCISP) from 2001 to 2006 and the Laser and Optical Group at the Research Center for Science and Technology in Medicine (RCSTIM) from 1998 to 2004. His wide-ranging experience reflects his strong influence in both academia and industry, particularly in the fields of biomedical engineering and signal processing.

Research Interest

Prof. Ali Motie Nasrabadi’s research interests are deeply rooted in the intersection of biomedical engineering and signal processing. His primary focus is on artificial intelligence in healthcare applications, where he explores the potential of AI to enhance medical diagnostics and treatments. He is also heavily involved in computational neuroscience, studying the brain’s complex systems through computational models. Prof. Nasrabadi specializes in chaotic and nonlinear signal processing, applying advanced techniques to understand irregular biological signals. A significant portion of his research is dedicated to the recording and processing of EEG/ERP/LFP/ECoG signals, where he analyzes brain activity patterns for medical and cognitive insights. Additionally, he is interested in the modeling of physiological systems, where he creates mathematical representations of biological processes to better understand and predict their behavior. This broad array of research areas positions Prof. Nasrabadi as a leading figure in applying advanced computational methods to solve complex challenges in healthcare and neuroscience.

Research Skills

Prof. Ali Motie Nasrabadi possesses a diverse set of skills that span across various domains of biomedical engineering and computational analysis. He is an expert in MATLAB and C programming, which he uses for designing and implementing algorithms for signal processing and neural network modeling. His proficiency with EEGLAB and SPM software makes him adept at processing and analyzing EEG and brain signals, essential for neuroscience research. Additionally, Prof. Nasrabadi is skilled in SPSS, which he uses for statistical data analysis, allowing him to interpret complex biomedical data. His deep understanding of chaos theory and nonlinear dynamics further complements his expertise, enabling him to analyze and quantify irregular physiological signals. These technical and computational skills are integral to his contributions in fields such as artificial intelligence, signal processing, and healthcare.

Award and Recognition

Prof. Ali Motie Nasrabadi has received several awards and recognitions throughout his distinguished academic and research career. He achieved First Rank in his B.Sc. program from the Department of Electrical Engineering at Amirkabir University of Technology, with an impressive average score of 18.16 out of 20. Similarly, he was awarded First Rank in his M.Sc. program from the Department of Biomedical Engineering at Amirkabir University of Technology, with an outstanding average score of 18.63 out of 20. His significant contributions to the field of biomedical engineering, particularly in signal processing and artificial intelligence applications, are reflected in his high H-index of 31 in Google Scholar and H-index of 23 in Scopus, underscoring the impact of his research in the global scientific community.

Conclusion

Considering Prof. Ali Motie Nasrabadi’s extensive academic achievements, innovative research in biomedical signal processing, significant publication record, industry-related activities, and leadership roles, he is highly suitable for the Research for Best Researcher Award. His work has had a profound impact on the field of biomedical engineering, particularly in the analysis and processing of EEG signals, making him a deserving candidate for this prestigious recognition.

Publications Top Notes

  • Title: EEG Classification of ADHD and Normal Children Using Non-linear Features and Neural Network
    • Citations: 220
    • Year: 2016
  • Title: Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes During Simulated Driving
    • Citations: 153
    • Year: 2015
  • Title: A New Automatic Sleep Staging System Based on Statistical Behavior of Local Extrema Using Single Channel EEG Signal
    • Citations: 110
    • Year: 2018
  • Title: Determining Fault’s Type and Accurate Location in Distribution Systems with DG Using MLP Neural Networks
    • Citations: 105
    • Year: 2009
  • Title: A Review on EEG Signals Based Emotion Recognition
    • Citations: 103*
    • Year: 2018
  • Title: The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
    • Citations: 83
    • Year: 2014
  • Title: EEG-based Mental Task Classification: Linear and Nonlinear Classification of Movement Imagery
    • Citations: 69
    • Year: 2006
  • Title: Emotion Classification Through Nonlinear EEG Analysis Using Machine Learning Methods
    • Citations: 68
    • Year: 2018