Abdulilah Mayet | Neuropharmacology | Excellence in Research

Published on 12/06/202512/06/2025 by Top Pharmaceutical

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 🇸🇦. With a Ph.D. from KAUST 🎓, he has pioneered research in MEMS/NEMS, nanofabrication, and AI-integrated sensor systems 🤖. A prolific inventor with 8️⃣ patents and 28+ publications 📚, Dr. Mayet has collaborated with global institutions including UC Irvine 🇺🇸 and Cornell University. His leadership spans academia, industry, and innovation 🚀, notably as CEO of Qimam Abha Company and a Fulbright Scholar. Fluent in Arabic and English 🗣️, he inspires innovation across engineering and technology frontiers 🌍.

Publication Profile

Orcid

Education

Assoc. Prof. Dr. Abdulilah Mayet holds a distinguished academic background in Electrical and Electronics Engineering ⚡. He earned his Ph.D. in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) in April 2016 📅, following his M.Sc. in Electrical Engineering from the same institution in June 2011 🧠. 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 🏫. This strong educational foundation has powered his cutting-edge contributions to nanotechnology, MEMS/NEMS, and semiconductor innovation 🔬🚀.

Experience

Assoc. Prof. Dr. Abdulilah Mayet brings over 25 years of pioneering experience in nanotechnology, MEMS/NEMS, and VLSI design 💡. 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 🇺🇸. As an Associate Professor at King Khalid University, he leads initiatives in nanofabrication, AI-driven FPGA teaching, and research commercialization 🧪. Formerly CTO at SEMC, he managed a 4,000m² 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 🌍🔬.

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 🧪🔬. He has published 28 journal papers (24 as first/corresponding author) and 7 conference papers 📝. His research has attracted over SAR 26 million in grants, supporting startups and lab establishments 💰. With 8 intellectual properties registered, he continues pushing innovation 🚀. Dr. Mayet has taught a wide range of advanced courses and mentored MSc students 🎓, while actively shaping curriculum development at both undergraduate and graduate levels 📖👨‍🏫.

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 ⚡. His work integrates artificial intelligence 🤖, 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 🧠🏭. 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 🌍💡.

Publication Top Notes

Multiphase Flow’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 Alloy’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 Regime’s Three-Phase Flow, Independent of the Oil Pipeline’s Scale Thickness

M. Imad Damaj | Neuropharmacology | Best Researcher Award

Published on 20/03/202520/03/2025 by Top Pharmaceutical

M. Imad Damaj | Neuropharmacology | Best Researcher Award

Prof. Dr. M. Imad Damaj, Virginia Commonwealth University, United States

Prof. Dr. M. Imad Damaj is a distinguished pharmacologist specializing in pain, neuropathy, and drug dependence. A professor at Virginia Commonwealth University (VCU), he co-directs the Translational Research Initiative for Pain and Neuropathy. Holding a Ph.D. in Pharmacology from the University of Paris XI, he has made significant contributions to neuropharmacology and drug addiction research. An award-winning educator, he has received the VCU Award of Excellence and is a National Academy of Inventors inductee. His extensive work includes NIH study sections, journal editorial roles, and mentoring future scientists. 🌍📚🔬

Publication Profile

Scopus

Education

Prof. Dr. M. Imad Damaj 🎓 began his academic journey with a B.S. in Pharmacy from the University of St-Joseph (French Faculty of Medicine) in Beirut, Lebanon, in 1985. He then pursued an M.S. in Hospital Pharmacy (DESS) at the School of Pharmacy, University of Paris VI, France, in 1986. His passion for pharmacology led him to earn a Ph.D. in 1991 from the University of Paris XI, under the mentorship of Dr. Christian Jacquot. 🧪 His dissertation focused on the pharmacological and pharmacokinetic evaluation of COR3224, a novel antidepressant agent, in rats, contributing valuable insights to the field. 🧬

Experience

Prof. Dr. M. Imad Damaj 🧪 has an extensive background in training and research. He began as a Hospital Pharmacist at the Pediatric Parenteral Nutrition Unit, Necker Pediatric Hospital, Paris (1985-1986) and later became a Pharmacy Resident at Ste-Anne Neuropsychiatric Hospital (1986-1987). His academic journey included a predoctoral fellowship at the University of Paris XI (1987-1991) and a postdoctoral fellowship at the Medical College of Virginia (1991-1993). 🎓 Since 1994, he has been actively involved in teaching at Virginia Commonwealth University, covering pharmacology, drug dependence, and pain control, mentoring students in pharmacy, dentistry, and medical sciences.

Awards

Prof. Dr. M. Imad Damaj 🎓 has received numerous prestigious awards and honors throughout his career. In 1990, he earned the SARGET Laboratories Award for his research on antidepressants in rat brains. He received postdoctoral travel awards from ASPET (1992) and CPDD (1993). Recognized as an Outstanding Young Investigator in 1995, he continued to receive accolades, including multiple NIDA Travel Awards (1996, 1999) and the College de France Award (2001). 🌟 At VCU, he was named Professor of the Year (2014) and won multiple teaching awards. In 2023, he was inducted into the National Academy of Inventors. 🏅

Professional Activity

Prof. Dr. M. Imad Damaj 🧪 has been actively engaged in professional activities, serving as an ad hoc reviewer for esteemed journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, and Neurochemistry International. Since 1993, he has contributed as a judge for the Virginia Junior Academy of Sciences and Virginia Academy of Sciences. 🎓 He has also participated in educational outreach, including the Mini-Med School of Virginia. From 2002-2018, he was on the Editorial Advisory Board for JPET, and in 2021, he became Associate Editor for Frontiers in Pain Research.

Research Focus

Prof. Dr. Mohamad Imad Damaj is a distinguished researcher in neuropharmacology 🧠💊, with a strong focus on nicotinic acetylcholine receptors (nAChRs) 🔬 and their role in addiction, pain, and neuropsychiatric disorders. His work explores the mechanisms of nicotine addiction 🚬, opioid withdrawal ⚠️, and neuropathic pain 🔥, employing advanced mouse models 🐭 to investigate behavioral and molecular responses. He has contributed significantly to understanding novel pharmacological interventions 💉, including PPARα agonists and α7 nicotinic receptor modulators. His research has broad implications for pain management, substance use disorders, and neuroprotection.

Publication Top Notes

Characterization of a novel oronasal-restricted nicotine vaping self-administration model in mice

New PPARα Agonist A190-Loaded Microemulsion for Chemotherapy-Induced Peripheral Neuropathy

Sulfonium Moieties as Ammonium Bioisosteres: Novel Ligands for the Alpha7 Nicotinic Acetylcholine Receptor

Identification of ethanol analgesia quantitative trait loci and candidate genes in BXD recombinant inbred mouse lines

Upregulation of the neuropeptide receptor calcitonin receptor-like in the spinal cord via MLL2 in a mouse model of paclitaxel-induced peripheral neuropathy

Voluntary nicotine consumption and reward in a subset of diversity outbred founder strains

Activation of α7 nicotinic receptors attenuated hyperalgesia and anxiety induced by palatable obesogenic diet withdrawal

Proteomic analysis of dorsal root ganglia in a mouse model of paclitaxel-induced neuropathic pain

Characterization and validation of a spontaneous acute and protracted oxycodone withdrawal model in male and female mice

The potential effect of α7 nicotinic receptors modulation on palatable food-induced dependence-like behaviors