Dr Mojtaba Tarin | Inorganic Chemistry | Best Researcher Award

postdoc researcher, Beijing Jiaotong University,

Dr. Mojtaba Tarin is a highly capable researcher with a strong foundation in inorganic chemistry, cancer nanomedicine, and targeted drug delivery. His academic trajectory, research productivity, technical skills, and teaching involvement position him as an emerging leader in biomedical nanotechnology and pharmaceutical chemistry. His hands-on experience with in vitro and in vivo models, synthesis of functional materials, and development of anti-cancer agents reflects both scientific excellence and translational relevance.

Publication Profile

Scopus

Academic Background:

Dr. Mojtaba Tarin earned his Ph.D. in Inorganic Chemistry from Ferdowsi University of Mashhad, Iran, in October 2023, graduating with a GPA of 18/20. His doctoral research focused on the “Design, Synthesis, and Investigation of Two Transport Systems of Functionalized Magnetic Mesoporous Silica Nanoparticles and Metal-Organic Frameworks (MOFs) for In Vitro and In Vivo Targeted Delivery of Elesclomol.” He holds a Master’s degree in Inorganic Chemistry from the Iranian Research Organization for Science and Technology (IROST), completed in 2015 with a GPA of 18.5/20, where he studied alkyl sulfosuccinate synthesis using heterogeneous catalysts. He completed his Bachelor’s degree at Shahrood University of Technology in 2011.

Professional Experience:

Dr. Tarin has been actively involved in academic and research roles. He served as a Teaching Assistant and Research Assistant at Ferdowsi University of Mashhad between 2018 and 2023. He supported courses like General Chemistry 1 and 2 while assisting with multiple advanced research projects related to pharmaceutical chemistry and drug delivery. He has also conducted and organized educational workshops on spectroscopy techniques, ChemDraw, and MTT cell toxicity testing, contributing significantly to hands-on student learning.

Honors and Recognitions:

Dr. Tarin holds two patents:

Synthesis of the Anti-Cancer Drug Elesclomol (Patent No. 104143, 2021)
Synthesis of Diethyl Sulfosuccinate Using Amberlyst-15 Catalyst (Patent No. 90267, 2016)

His peer-reviewed journal articles focus on targeted delivery of anti-cancer agents and nanotechnology-based therapies. His most recent works, under review and accepted, showcase pioneering research in Elesclomol delivery systems for prostate and colorectal cancer. He has also contributed to chemical synthesis research and co-authored studies on nickel complexes and surfactants.

Awards & Achievements:

Dr. Tarin holds two patents:

Synthesis of the Anti-Cancer Drug Elesclomol (Patent No. 104143, 2021)
Synthesis of Diethyl Sulfosuccinate Using Amberlyst-15 Catalyst (Patent No. 90267, 2016)

Publication :

- Tarin, M., Babaei, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Targeted Delivery of Elesclomol Using a Magnetic Mesoporous Platform Improves Prostate Cancer Treatment Both In Vitro and In Vivo. Talanta. Manuscript ID: TAL-D-23-02570R1. (Accepted/In Press)
- Tarin, M., Babaie, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Elesclomol, a Copper-Transporting Therapeutic Agent Targeting Mitochondria: From Discovery to Its Novel Applications. Journal of Translational Medicine, Manuscript ID: JTRM-D-23-03624 (R1), October 20, 2023.
- Tarin, M., Babaei, M., Eshghi, H., Matin, M. M., & Saljooghi, A. S. (2023). Targeted Delivery of Elesclomol Drug to Colorectal Cancer Cells Using a Porous Silicon Targeted Drug Delivery System with Magnetic Properties. Journal of Advanced Cancer Research, Manuscript ID: JACR-2305-2123 (R1), July 4, 2023.
- Moghadam, S. M. M., Salehi, S., Tarin, M., Azmudeh, S., Babaei, M., & Saljooghi, A. S. (2020). Synthesis, Identification, Theoretical Study, and Investigation of Cellular Toxicity Effects of Nickel (II) Complexes with Chelating Ligands 3-Hydroxyflavone, Deferiprone, and Maltol. Journal of Applied Research in Chemistry, September 22, 2020.
- Tarin, M., Moghadam, S. M. M., Salehi, S., & Saljooghi, A. S. (2019). Preparation of Sodium Dioctyl Sulfosuccinate Anionic Surfactant and Investigation of Catalytic Activity of Amberlyst-15. Journal of Applied Research in Chemistry, December 22, 2019.
- Salehi, S., Moghadam, S. M. M., Tarin, M., & Saljooghi, A. S. (2019). Pharmaceutical Nickel(II) Chelation Properties of 3-Hydroxyflaven, Deferiprone and Maltol Metal Chelators: A Density Functional Study. Physical Chemistry Research, DOI: 10.22036/pcr.2019.202156.1677, November 29, 2019.
- Tarin, M., Moghadam, S. M. M., Salehi, S., & Fateh, D. S. (2019). Dual Catalytic Activity of Amberlyst-15 in the Large-scale and Sustainable Synthesis of Dioctyl Sodium Sulfosuccinate (DOSS). Letters in Organic Chemistry, DOI: 10.2174/1570178616666191009105703, August 8, 2019.

conclusion:

Based on the evidence provided, Dr. Mojtaba Tarin is a highly suitable candidate for the Best Researcher Award, especially in the categories of Pharmaceutical Nanotechnology, Cancer Research, or Targeted Drug Delivery Systems. His work bridges fundamental chemistry with applied biomedical science, demonstrating both innovation and impact. With further international collaboration and funding experience, he could grow into a global scientific leader.

Mr.Ali Reza Keivanimehr | AI in healthcare
| Best Researcher Award

Mr. Ali RezaKeivanimehr , Amirkabir University of Technology (Tehran’s Polytechnic), Iran.

Ali Reza Keivanimehr is an exceptional early-career researcher with a solid academic foundation, a promising research trajectory in machine learning applications for healthcare, and strong technical expertise. His combination of research, teaching, and technical projects highlights a well-rounded profile. His contributions, especially in the use of TinyML for cardiovascular diagnosis, are commendable and align with global health priorities.

Publication Profile

Google scholar

Education :

Master of Science in Information Technology Engineering – Internet of Things (IoT) (2022 – 2025)Amirkabir University of Technology (Tehran Polytechnic), Tehran, IranRanked 403rd in QS World University Rankings 2024GPA: 3.53/4 (17.48/20) – 3rd highest in 2022 faculty entranceThesis: Applications of TinyML in Prediction and Diagnosis of Cardiovascular DiseasesSupervisor: Dr. Mohammad Akbari | Advisor: Dr. Abbas AhmadiBachelor of Science in Computer Engineering – Software Engineering (2018 – 2021)Imam Khomeini International University of Qazvin, Qazvin, IranProject: Designing a Software Interface for Industrial Machinery Maintenance

Experience :

Research Assistant (2022 – Present)
Data Science Lab (DSLab), Amirkabir University of Technology, Tehran, IranConducting research on TinyML and edge intelligence applications in cardiovascular disease prediction.Teaching Assistant — Machine Learning and Pattern Recognition (2024 – 2025)Amirkabir University of Technology, Tehran, IranAssisted in course instruction, project supervision, and student evaluations under Dr. Alireza Rezvanian.Teaching Assistant — Data Structure and Algorithms (2019 – 2020)
Imam Khomeini International University of Qazvin, Qazvin, IranSupported coursework delivery, assignments, and exam preparations under Morteza Mohammadi Zanjireh.

Research Focus :

Natural Language Processing (NLP)Graph Neural NetworksEdge IntelligenceExplainable Artificial Intelligence (XAI)Generative Adversarial Networks (GANs)Dr. Keivanimehr’s research centers on Tiny Machine Learning (TinyML) and edge intelligence, with a specific emphasis on their applications in cardiovascular disease monitoring. He explores the deployment of machine learning models on low-power, resource-limited devices to facilitate real-time analytics and pervasive monitoring for patients with cardiac anomalies.

Skills and Expertise:

As a research assistant, Dr. Keivanimehr has developed expertise in machine learning, classification, and supervised learning. His technical proficiency includes a focus on computational health and biomedical applications, particularly in the context of resource-constrained devices.Programming: PythonMachine Learning Frameworks: PyTorch, TensorFlowBig Data Tools: Apache SparkLanguages: TOEFL iBT (Score: 109 | Reading: 28 | Listening: 30 | Speaking: 26 | Writing: 25)

Awards:

48th Rank among 5000+ participants, National Entrance Exam for Master Studies in IT Engineering (2022)3rd Rank in IT Engineering Master’s cohort based on GPA (2022 – Present)Full Master’s Scholarship: Awarded for excellence in national entrance exams; covers tuition, dormitory, and partial food expenses (2022 – Present)Full Bachelor’s Scholarship: Granted for top performance in national entrance exams; included tuition, accommodation, and meal support (2018 – 2021)

Publication

Keivanimehr, A., & Akbari, M. (2024). TinyML and Edge Intelligence Applications in Cardiovascular Disease: A Survey. Computers in Biology and Medicine. DOI: 10.1016/j.compbiomed.2025.109653

Conclusion

Ali Reza Keivanimehr is a suitable candidate for the Best Researcher Award. His strong academic record, impactful research, and consistent growth in machine learning and edge intelligence demonstrate his potential as a leading researcher in his field. With further international exposure and expanded publication efforts, he is poised to make significant contributions to both academia and industry.