HamidReza Ahmadifar | Drug Delivery Systems | Best Researcher Award

Published on by Top Pharmaceutical

HamidReza Ahmadifar | Drug Delivery Systems | Best Researcher Award

Assist. Prof. Dr. HamidReza Ahmadifar, University of Guilan, Iran

Dr. HamidReza Ahmadifar is an Assistant Professor in the Computer Engineering Department at the University of Guilan, Iran. He earned his Ph.D. in Computer Engineering from Shahid Beheshti University in 2013. His research focuses on Cloud Computing ☁️, Blockchain Applications πŸ”—, Computer Architecture πŸ–₯️, and Approximate Computing ⚑. He has contributed to multiple research projects, published in reputable journals, and serves as a reviewer for IEEE and other high-impact publications. His innovative work includes a blockchain-based model for counterfeit detection in logistics. Passionate about technological advancements, he continues to shape the future of computing. πŸš€

Publication Profile

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Professional Background

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ earned his Ph.D. in Computer Engineering from Shahid Beheshti University, Tehran, Iran, in 2013. Currently, he serves as an Assistant Professor in the Computer Engineering Department at the University of Guilan, Rasht, Iran πŸ›οΈ. His research focuses on Computer Architecture πŸ–₯️, Approximate Computing πŸ€–, Cloud Computing ☁️, and Blockchain Applications πŸ”—. With a strong academic background and expertise in emerging technologies, Dr. Ahmadifar actively contributes to advancing computational methodologies and innovative digital solutions, shaping the future of computing and technology. πŸš€

Professional Memberships

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ is an active member of the academic and research community, contributing as a reviewer for prestigious journals. He serves as a reviewer for the IEEE Open Journal of Intelligent Transportation Systems πŸš—πŸ’‘, where he evaluates cutting-edge research on smart mobility and transportation technologies. Additionally, he reviews for Computers in Biology and Medicine πŸ§¬πŸ’», assessing innovative studies at the intersection of computing and healthcare. His commitment to peer review ensures the quality and advancement of scientific research, reinforcing his influence in both computing and interdisciplinary applications. πŸ”πŸ“š

Technical Contributions

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ has made significant contributions to technological innovation, particularly in counterfeiting detection. His groundbreaking research utilizes blockchain technology πŸ”— and GPS systems πŸ“ to enhance product authentication without relying on additional IoT sensors. This innovative approach ensures both cost-effectiveness πŸ’° and high security πŸ”’, making implementation more accessible across industries. By eliminating extra hardware requirements, Dr. Ahmadifar’s model streamlines authentication processes while maintaining reliability and authenticity. His work represents a major advancement in digital security, reinforcing trust in supply chains and counterfeit prevention solutions. πŸš€

Collaborations

Assist. Prof. Dr. HamidReza Ahmadifar πŸŽ“ actively collaborates with industry and academia, contributing to four consultancy and industry projects πŸ­πŸ” that bridge research with real-world applications. His ability to translate theoretical knowledge into practical solutions βš™οΈ highlights his impact in the field. Additionally, his involvement in collaborative research papers πŸ“„πŸ€ showcases his commitment to knowledge sharing and teamwork. Through these partnerships, Dr. Ahmadifar plays a key role in advancing cutting-edge technologies πŸš€ while fostering innovation across multiple domains. His contributions strengthen the connection between academic research and industry-driven technological advancements. πŸ”—

Research Focus

Assist. Prof. Dr. HamidReza Ahmadifar’s research primarily focuses on computer architecture πŸ–₯️, digital systems βš™οΈ, artificial intelligence πŸ€–, and blockchain applications πŸ”—. His work includes innovations in Residue Number Systems (RNS) βž—, hardware-efficient computing πŸ—οΈ, and digital arithmetic optimization πŸ“Š. He has contributed to modular arithmetic, reconfigurable computing πŸ› οΈ, and image processing πŸ–ΌοΈ. Additionally, his studies extend to deep learning-based systems 🧠, cloud computing ☁️, and cybersecurity πŸ”. His interdisciplinary research integrates signal processing πŸ“‘, transport security πŸš›, and smart cities πŸŒ†, impacting various technological domains.

Publication Top Notes

A New Residue Number System with 5-Moduli Set: {22q, 2qΒ±3, 2qΒ±1}

Estimation of (vapour + liquid) equilibrium of binary systems (tert-butanol + 2-ethyl-1-hexanol) and (n-butanol + 2-ethyl-1-hexanol) using an artificial neural

A ROM‐less reverse RNS converter for moduli set {2qΒ Β± 1, 2qΒ Β± 3}

Improved modulo-(2nΒ Β± 3) multipliers

Reducing reconfiguration time of reconfigurable computing systems in integrated temporal partitioning and physical design framework

Application of image processing techniques for quality control of mushroom

Dmap: A distributed blockchain-based framework for online mapping in smart city

Performance of HEVC discrete cosine and sine transforms on GPU using CUDA

Adder-Only Reverse Converters for 5-Moduli Set {2^q,2^q-1,2^(q+1)Β±1,2^(q+2)-1}

Liangliang Dai | Drug Delivery Systems | Best Researcher Award

Published on by Top Pharmaceutical

Liangliang Dai | Drug Delivery Systems | Best Researcher Award

ProfΒ  Liangliang Dai, Northwestern Polytechnical University, China

Prof. Liangliang Dai Associate Professor & Assistant Dean, Institute of Medical Research, Northwestern Polytechnical University. With a PhD and MD in Biomedical Engineering and Biology from Chongqing University under Prof. Kaiyong Cai, Prof. Dai’s research focuses on nanomaterials, drug delivery systems, nanosystems, tumor immunotherapy, and antimetabolic therapy. He has led multiple national and provincial research projects and published in top journals like Nature Communications and Advanced Functional Materials. His innovative work bridges nanotechnology and cancer therapy, advancing biomedical science. πŸ”¬πŸŒΏ

Publication Profile

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Education Background

Prof. Liangliang Dai holds a Ph.D. in Biomedical Engineering πŸŽ“ from the Ministry of Education College of Bioengineering at Chongqing University, where he conducted advanced research under the mentorship of Prof. Kaiyong Cai. His academic journey also includes an MD in Biology 🧬 from the same institution, further solidifying his expertise in bioengineering and biomedical sciences. Guided by Prof. Cai, his studies focused on cutting-edge innovations in the field. With a strong foundation in interdisciplinary research, Prof. Dai continues to contribute to scientific advancements in biomedical engineering and biology, shaping the future of healthcare and biotechnology πŸ”¬.

Hosted Research Project

Prof. Liangliang Dai has led several prestigious research projects πŸ”¬, contributing significantly to biomedical engineering. He has been awarded funding from the National Natural Science Foundation of China πŸ… for multiple projects (52373157, 52003223) and has received the National Science Foundation for Distinguished Young Scholars of Shaanxi Province (S2025-JC-JQ-0228). Additionally, he has played a key role in the Key R&D Programs of Shaanxi Province (2024SF2-GJHX-26, 2022SF-012) and secured support from the Natural Science Foundation of Shaanxi Province (2019JQ-347) and the Young Talent Fund of University Association for Science and Technology (20200302) 🌍.

Research Contributions

Prof. Liangliang Dai has secured multiple prestigious research grants πŸ…, including funding from the National Natural Science Foundation of China and the Key R&D Program of Shaanxi Province. His research focuses on advanced drug delivery systems πŸ’Š, tumor immunotherapy 🧬, and biomedical nanotechnology πŸ”¬, making significant contributions to the medical research community. These competitive grants reflect his expertise and the high regard for his work in the scientific field. Through pioneering innovations, Prof. Dai continues to push the boundaries of biomedical engineering, striving for breakthroughs that enhance healthcare and therapeutic solutions globally 🌍.

Global RecognitionΒ 

Prof. Liangliang Dai is a globally recognized researcher 🌍, collaborating with renowned scientists to develop innovative therapeutic strategies πŸ”¬. His groundbreaking work in cancer therapy 🧬 and nanomaterial-based drug delivery πŸ’Š is paving the way for more effective medical treatments. Beyond securing prestigious grants and publishing impactful research, his contributions hold practical significance in biomedical applications, transforming healthcare solutions. With a commitment to advancing science, Prof. Dai’s influence continues to grow, driving innovation and shaping the future of medicine through cutting-edge technologies and interdisciplinary collaborations 🀝.

Innovative Research

Prof. Liangliang Dai’s research is highly interdisciplinary πŸ”¬, blending nanotechnology, immunotherapy, and bioengineering to advance medical science. His groundbreaking work on multifunctional metal-organic frameworks πŸ—οΈ, light-activatable antibiosis for infected bone repair 🦴, and tumor microenvironment modulation 🧬 showcases his pioneering role in translational medicine. By enhancing cancer treatment strategies πŸŽ—οΈ and optimizing drug delivery systems πŸ’Š, his studies have a direct impact on healthcare. Through cutting-edge innovations, Prof. Dai is shaping the future of biomedical science, driving transformative solutions that improve patient outcomes and therapeutic effectiveness worldwide 🌍.

Research Focus

Liangliang Dai’s research primarily focuses on nanotechnology and biomedical engineering πŸ§ͺπŸ”¬, with a particular emphasis on nanosystems for drug delivery, tumor therapy, and environmental applications. His work explores nanoparticles, metal-organic frameworks (MOFs), and photo-responsive materials to develop advanced cancer treatments πŸŽ—οΈ, chemodynamic therapy βš›οΈ, immune modulation πŸ›‘οΈ, and antimicrobial strategies 🦠. Dai also investigates water purification πŸ’§ and biofilm control to tackle antibiotic resistance. His research bridges materials science πŸ—οΈ and biomedicine to create multifunctional therapeutic nanosystems, advancing precision medicine 🧬 and environmental health 🌍.

Publication Top Notes

Nanosilver-Induced Pseudo Cuproptosis of Potentially Pathogenic Bacteria during the Storage of Ozone-Treated Wastewater

MMP-2/GSH-responsive nanobomb for tumor chemo-immunotherapy with hierarchical delivery and TAMs re-education by regulating hbegf-activated ERK/MAPK signal pathway

An Adjuvant Micelle-Based Multifunctional Nanosystem for Tumor Immunotherapy by Remodeling Three Types of Immunosuppressive Cells.

Multifunctional Fe-based coordination polymer nano-bomb modified with Ξ²-lapachone and CaO<sub>2</sub> for targeted tumor dual chemodynamic therapy with enhanced ferroptosis and H<sub>2</sub>O<sub>2</sub> self-supply.

A Photo‐Therapeutic Nanocomposite with Bio‐Responsive Oxygen Self‐Supplying Combats Biofilm Infections and Inflammation from Drug‐Resistant Bacteria

Detachable MOF-Based Core/Shell Nanoreactor for Cancer Dual-Starvation Therapy With Reversing Glucose and Glutamine Metabolisms.

Engineered drug delivery nanosystems for tumor microenvironment normalization therapy

Cascade amplification of tumor chemodynamic therapy and starvation with re-educated TAMs via Fe-MOF based functional nanosystem