Hamidreza Mohammadi | Neuropharmacology | Innovative Research Award

Innovative Research Award

Hamidreza Mohammadi
Affiliation Mazandaran University of Medical science
Country Iran
Scopus ID 56962768300
Documents 1264
Citations 1370
h-index 24
Subject Area Neuropharmacology
Event International Top Pharmaceutical Awards
ORCID 0000-0002-7053-6850

Hamidreza Mohammadi is affiliated with Mazandaran University of Medical science, Iran, and has contributed to the fields of neuropharmacology, toxicology, oxidative stress research, mitochondrial dysfunction, and nanoparticle-mediated therapeutic development. His research profile reflects interdisciplinary investigations associated with pharmacological toxicology, mitochondrial protection, neuroprotective strategies, and oxidative injury mechanisms in experimental models.[1] His academic contributions include studies related to paraquat-induced neurotoxicity, nanoparticle therapeutics, oxidative stress biomarkers, and toxicological evaluation methodologies that are relevant to modern pharmaceutical and biomedical sciences.[2]

Abstract

The Innovative Research Award recognition highlights the scientific activities and academic contributions of Hamidreza Mohammadi in pharmaceutical toxicology and neuropharmacological sciences. His investigations include oxidative stress modulation, mitochondrial dysfunction analysis, paraquat-induced toxicity, nanoparticle-assisted therapeutic systems, and pharmacological interventions associated with cellular injury mechanisms. Published studies demonstrate collaborative research focused on toxicological pathways, mitochondrial protection, neuroprotective therapies, and nanomedicine-based pharmaceutical applications.[2] These scholarly activities have contributed to the advancement of experimental toxicology and translational pharmaceutical sciences in both preclinical and applied biomedical contexts.

Keywords

Neuropharmacology, Toxicology, Oxidative Stress, Mitochondrial Dysfunction, Paraquat Toxicity, Nanomedicine, Pharmaceutical Sciences, Experimental Pharmacology, Toxicological Research, Therapeutic Nanoparticles.

Introduction

Modern pharmaceutical sciences increasingly emphasize translational research approaches that integrate neuropharmacology, toxicology, nanotechnology, and mitochondrial medicine. Within this scientific environment, Hamidreza Mohammadi has participated in research investigating toxicant-induced cellular injury, neuroprotective mechanisms, oxidative stress pathways, and nanoparticle-assisted drug delivery systems. Several of his studies examine the biological consequences of paraquat exposure, mitochondrial dysfunction, and pharmacological interventions that may reduce oxidative injury in experimental models.[3] These investigations contribute to broader pharmaceutical discussions concerning therapeutic safety, oxidative balance, neurotoxicity prevention, and innovative biomedical strategies.

Research Profile

Hamidreza Mohammadi is associated with Mazandaran University of Medical Sciences and maintains an active academic profile in neuropharmacology and toxicological sciences.[1] His publication record includes collaborative investigations involving mitochondrial protection, toxicant-induced oxidative stress, neuroprotective therapeutics, nanoparticle systems, and pharmacological interventions targeting cellular dysfunction. His Scopus profile reports a substantial scholarly output and citation presence that reflects ongoing scientific engagement in pharmaceutical and biomedical research fields.[1]

Research Contributions

The scientific contributions of Hamidreza Mohammadi include studies focused on paraquat-induced neurotoxicity, oxidative mitochondrial injury, toxicological risk mechanisms, and nanoparticle-assisted therapeutic systems. Research publications have explored mitochondrial oxidative damage, antiemetic neuroprotection, toxicological evaluation of chemicals, and pharmacological mitigation of oxidative injury.[2] Additional work has examined the application of quercetin-loaded nanoparticles, curcumin formulations, and magnesium-based nanocarriers in experimental toxicology models.[4] These contributions collectively support scientific understanding of toxicant-induced physiological disruption and therapeutic intervention strategies.

Publications

Selected publications associated with Hamidreza Mohammadi include research articles in journals related to toxicology, pharmaceutical sciences, oxidative stress biology, and neuropharmacology. His studies investigate paraquat toxicity, mitochondrial dysfunction, nanoparticle therapeutics, and toxicological pharmacology using experimental models and translational biomedical approaches.[2]

Research Impact

The research activities of Hamidreza Mohammadi demonstrate interdisciplinary relevance across pharmaceutical toxicology, neuropharmacology, nanomedicine, and mitochondrial biology. His scholarly output contributes to scientific understanding of oxidative stress-mediated toxicity and therapeutic mitigation strategies. Research findings associated with nanoparticle formulations, mitochondrial protection, and toxicological pharmacology may support future investigations into safer pharmaceutical interventions and experimental therapeutic systems.[5] Citation metrics and publication activity further indicate continued engagement with internationally indexed pharmaceutical research platforms.

Award Suitability

The Innovative Research Award category is aligned with scholarly activities involving emerging pharmaceutical methodologies, toxicological innovation, and interdisciplinary biomedical research. Hamidreza Mohammadiโ€™s work in oxidative stress mechanisms, neuroprotective pharmacology, toxicological assessment, and nanoparticle-based therapeutics reflects research themes commonly associated with contemporary pharmaceutical innovation.[3] His contributions demonstrate relevance to translational pharmaceutical sciences and experimental therapeutic development within academic and biomedical research communities.

Conclusion

Hamidreza Mohammadi has contributed to pharmaceutical and biomedical sciences through research activities centered on neuropharmacology, toxicology, oxidative stress, mitochondrial dysfunction, and nanomedicine. His publication profile reflects continued academic engagement in experimental toxicology and therapeutic investigation. The Innovative Research Award recognition acknowledges these scholarly contributions and their relevance to advancing pharmaceutical research methodologies and translational biomedical understanding.

References

  1. Elsevier. (n.d.). Scopus author details: Hamidreza Mohammadi, Author ID 56962768300. Scopus.https://www.scopus.com/authid/detail.uri?authorId=56962768300
  2. Jahani, R., Pourbahram, P., Seyedabadi, M., Nasiri, F., & Mohammadi, H. (2025). The role of GABAergic receptors in acute, subacute, and withdrawal syndrome on pain and seizure thresholds in mice: A connection to mitochondrial function and oxidative stress in the brain. Toxicology Reports.DOI: https://pubmed.ncbi.nlm.nih.gov/41312119/
  3. Sadeghi, S., Karami, M., Madanchi, H., Yazdian-Robati, R., Seyedabadi, M., Ghasempouri, S. K., Siahposht-Khachaki, A., & Mohammadi, H. (2025). Microfluidic techniques in the development of PLGA nanoparticles: a tri-combination therapy for paraquat-induced cytotoxicity. Toxicology Research.DOI: https://doi.org/10.1093/toxres/tfaf133
  4. Khederzadeh, A., Ebrahimnejad, P., Seyedabadi, M., Babaei, A., Talebpour Amiri, F., Aslani, N., Mojarad-Jabali, S., & Mohammadi, H. (2024). Synergistic effect of curcumin and Piperine loaded Niosomal nanoparticles on acute pulmonary toxicity induced by Paraquat in mice. Toxicology Research.DOI: https://doi.org/10.1093/toxres/tfae181
  5. Ashari, S., Karami, M., Shokrzadeh, M., Bagheri, A., Ghandadi, M., Ranaee, M., Dashti, A., & Mohammadi, H. (2022). Quercetin ameliorates Di (2-ethylhexyl) phthalate-induced nephrotoxicity by inhibiting NF-ฮบB signaling pathway. Toxicology Research.DOI: https://doi.org/10.1093/toxres/tfac006

Abdulilah Mayet | Neuropharmacology | Excellence in Research

Abdulilah Mayet | Neuropharmacology | Excellence in Research

Assoc. Prof. Dr. Abdulilah Mayet, King Khalid University, Saudi Arabia

Assoc. Prof. Dr. Abdulilah Mohammad Mayet is an accomplished expert in Electrical Engineering, currently serving at King Khalid University ๐Ÿ‡ธ๐Ÿ‡ฆ. With a Ph.D. from KAUST ๐ŸŽ“, he has pioneered research in MEMS/NEMS, nanofabrication, and AI-integrated sensor systems ๐Ÿค–. A prolific inventor with 8๏ธโƒฃ patents and 28+ publications ๐Ÿ“š, Dr. Mayet has collaborated with global institutions including UC Irvine ๐Ÿ‡บ๐Ÿ‡ธ and Cornell University. His leadership spans academia, industry, and innovation ๐Ÿš€, notably as CEO of Qimam Abha Company and a Fulbright Scholar. Fluent in Arabic and English ๐Ÿ—ฃ๏ธ, he inspires innovation across engineering and technology frontiers ๐ŸŒ.

Publication Profile

Orcid

Education

Assoc. Prof. Dr. Abdulilah Mayet holds a distinguished academic background in Electrical and Electronics Engineering โšก. He earned his Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in April 2016 ๐Ÿ“…, following his M.Sc. in Electrical Engineering from the same institution in June 2011 ๐Ÿง . His academic journey began with a B.Sc. in Electrical and Electronics Engineering from King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia in June 1991 ๐Ÿซ. This strong educational foundation has powered his cutting-edge contributions to nanotechnology, MEMS/NEMS, and semiconductor innovation ๐Ÿ”ฌ๐Ÿš€.

Experience

Assoc. Prof. Dr. Abdulilah Mayet brings over 25 years of pioneering experience in nanotechnology, MEMS/NEMS, and VLSI design ๐Ÿ’ก. Currently, he serves as a Supervisor of the VLSI Design Group and a Visiting Professor at UC Irvine, while also being a Fulbright Scholar Fellow ๐Ÿ‡บ๐Ÿ‡ธ. As an Associate Professor at King Khalid University, he leads initiatives in nanofabrication, AI-driven FPGA teaching, and research commercialization ๐Ÿงช. Formerly CTO at SEMC, he managed a 4,000mยฒ fab facility. His career spans innovations in NEM switches, amorphous metals, and MEMS platforms, with leadership roles at the Misk 2030 Leaders Program and Saudi Leadership Society ๐ŸŒ๐Ÿ”ฌ.

Awards

Assoc. Prof. Dr. Abdulilah Mayet has made remarkable contributions to science and engineering, notably by independently conceptualizing and demonstrating the first-ever fully amorphous metal fabricated in a CMOS fab ๐Ÿงช๐Ÿ”ฌ. He has published 28 journal papers (24 as first/corresponding author) and 7 conference papers ๐Ÿ“. His research has attracted over SAR 26 million in grants, supporting startups and lab establishments ๐Ÿ’ฐ. With 8 intellectual properties registered, he continues pushing innovation ๐Ÿš€. Dr. Mayet has taught a wide range of advanced courses and mentored MSc students ๐ŸŽ“, while actively shaping curriculum development at both undergraduate and graduate levels ๐Ÿ“–๐Ÿ‘จโ€๐Ÿซ.

Research Focus

Assoc. Prof. Dr. Abdulilah Mayet focuses on cutting-edge research in intelligent measurement systems, non-destructive testing (NDT), and sensor-based technologies within the realm of electrical and electronic engineering โšก. His work integrates artificial intelligence ๐Ÿค–, machine learning, and ANNs for enhanced precision in multiphase flow analysis, pipeline diagnostics, and material characterization. He also explores nanoelectronics, MEMS/NEMS, and gamma-ray-based detection systems for industrial and biomedical applications ๐Ÿง ๐Ÿญ. His multidisciplinary approach bridges engineering with sustainability, fluid mechanics, and healthcare innovation, making his contributions vital to the energy, oil & gas, and emerging technologies sectors ๐ŸŒ๐Ÿ’ก.

Publication Top Notes

Multiphase Flowโ€™s Volume Fractions Intelligent Measurement by a Compound Method Employing Cesium-137, Photon Attenuation Sensor, and Capacitance-Based Sensor

Combination of a Nondestructive Testing Method with Artificial Neural Network for Determining Thickness of Aluminum Sheets Regardless of Alloyโ€™s Type

Application of the Fourier Transform to Improve the Accuracy of Gamma-Based Volume Percentage Detection System Independent of Scale Thickness

An Insight to the Outage Performance of Multi-Hop Mixed RF/FSO/UWOC System

Intelligent Measuring of the Volume Fraction Considering Temperature Changes and Independent Pressure Variations for a Two-Phase Homogeneous Fluid Using an 8-Electrode Sensor and an ANN

Proposing a Method Based on Artificial Neural Network for Predicting Alignment between the Saudi Nursing Workforce and the Gig Framework

The Role of Biocomposites and Nanocomposites in Eliminating Organic Contaminants from Effluents

An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System

Experimental Analysis to Detect Corona COVID-19 Virus Symptoms in Male Patients through Breath Pattern Using Machine Learning Algorithms

Application of Artificial Intelligence for Determining the Volume Percentages of a Stratified Regimeโ€™s Three-Phase Flow, Independent of the Oil Pipelineโ€™s Scale Thickness