Dr. Roohollah Shirani Faradonbeh | Mining Engineering | Best Researcher Award

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Dr. Roohollah Shirani Faradonbeh | Mining Engineering | Best Researcher Award

Dr. Roohollah Shirani Faradonbeh, Curtin University, Australia

Dr. Roohollah Shirani Faradonbeh is an accomplished mining engineer with expertise in intelligent mining, mine electrification, and sustainable resource management. Currently, he serves as an Assistant Professor at Curtin University’s WA School of Mines, where he contributes to innovative research in digital mining technologies and advanced rock mechanics. With a PhD in Mining Engineering from the University of Adelaide, his research focuses on AI-driven predictive models for rockburst risk assessment in underground mines. Dr. Shirani has published extensively on topics like mine tailings recovery, blasting optimization, and sustainable mining practices.

Professional profile

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Summary of Suitability for the “Research for Best Researcher Award” – Roohollah Shirani Faradonbeh

Dr. Roohollah Shirani Faradonbeh has an outstanding academic background and extensive experience in the field of mining engineering, making him a highly suitable candidate for the Research for Best Researcher Award. His research focuses on critical areas such as rockburst phenomena in deep underground mining, which has significant implications for safety and operations in the mining industry. His development of AI-based models and novel testing methodologies, as demonstrated in his doctoral work, has opened new frontiers in intelligent mining, especially in predicting and mitigating rockburst risks.

 🎓Education

Dr. Shirani holds a PhD in Mining Engineering from the University of Adelaide, where his thesis explored AI-based models for predicting and controlling rockburst phenomena in deep underground mines. His MSc in Mining Engineering from Tarbiat Modares University focused on minimizing blast-induced ground vibrations using gene expression programming. During his BSc at the University of Kashan, he investigated methods for reducing the back-break phenomenon in Iran’s Sungun Copper Mine. His educational journey highlights his expertise in predictive modeling, experimental mechanics, and sustainable mining practices.

 💼 Experience

Dr. Shirani has held multiple academic and industry roles, including his current position as Assistant Professor at Curtin University’s WA School of Mines. He has served as an industry advisor for Fortescue Metals Group and was a research and teaching assistant at the University of Adelaide. His teaching portfolio covers advanced topics like rock excavation technology, mine automation, and slope engineering. In addition to academic contributions, Dr. Shirani has supervised numerous PhD and M.Phil. students in fields such as autonomous mining systems, rockburst early warning tools, and environmental impact assessments for deep-sea mining.

 🏅Awards and Honors

Throughout his career, Dr. Shirani has received recognition for his contributions to mining engineering and research excellence. He has been honored with multiple academic awards for his innovative work in intelligent mining systems and AI-driven rockburst models. His research on blasting operations and ground vibration prediction has garnered attention from industry and academia alike. Additionally, Dr. Shirani has played a key role in international mining conferences, where his contributions to sustainable mining and resource recovery have been highly regarded by peers and industry professionals.

🌍 Research Focus

Dr. Shirani’s research centers on cutting-edge mining technologies, focusing on areas like mine digitalization, autonomous systems, and AI-based predictive models. He is particularly interested in the electrification and decarbonization of mining operations, as well as sustainable mine rehabilitation and waste management. His work in the experimental analysis of rockburst behavior and mine tailings recovery has paved the way for advancements in mining safety and efficiency. He also explores alternative mining methods, such as deep-sea mining and asteroid mining, reflecting his forward-thinking approach to resource extraction.

 📖 Publications Top Notes

Forecasting blast-induced ground vibration developing a CART model
Cited by: 172
Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
Cited by: 171
Prediction of the uniaxial compressive strength of sandstone using various modeling techniques
Cited by: 164
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
Cited by: 153
Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques
Cited by: 147

kelig mahe | fisheries research | Research Excellence Award

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Dr kelig mahe | fisheries research | Research Excellence Award

Dr.kelig mahe, Ifremer, France

Dr. Kélig MAHE is a leading researcher at IFREMER, specializing in marine science, particularly in the fields of sclerochronology and fisheries. Since 2021, he has been the head of the Halieutiques Manche-Mer du Nord Unit, overseeing numerous national and European projects related to fish age estimation and stock management. Dr. MAHE’s expertise spans biological data coordination, fish age determination workshops, and the development of TNPC software. He has co-supervised 11 PhD students and 12 master’s students, contributing significantly to scientific innovation, as demonstrated by his 2010 award for scientific and technological innovation at IFREMER. His contributions extend internationally, with leadership in numerous European research collaborations.

Professinal Profile

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    Education 

    Dr. Kélig MAHE’s academic journey is rooted in marine and environmental sciences. He earned his PhD in Marine Biology from Université du Littoral Côte d’Opale (ULCO) in 2019, focusing on fisheries and environmental ecosystems. Prior to this, he completed his Diplôme d’Etudes Approfondies (DEA) in Coastal and Littoral Ecosystem Dynamics from ULCO in 2002. Dr. MAHE’s foundational knowledge in marine resource management was shaped during his engineering studies at the prestigious Ecole Nationale Supérieure d’Agronomie de Rennes (ENSAR), where he graduated with a specialization in Halieutics in 2003. His multidisciplinary education also includes a Maîtrise des Sciences et Techniques in Environmental Sciences from the University of Rouen, completed in 2001, providing him with a well-rounded scientific background in both marine biology and environmental management.

    Experience 

    Dr. MAHE Kélig has an extensive research career at IFREMER, where he has been actively engaged since 2007. His role evolved from a research cadre to leading the Halieutiques Manche-Mer du Nord Unit in 2021. His vast experience includes coordinating national biological data, managing research programs on fish age estimation, and providing expert advice on stock management. His involvement in European research projects is extensive, including leadership positions in projects like Med-Units, Sumaris, and Microtolithe. Dr. MAHE has also represented IFREMER in international workshops and played a pivotal role in advancing sclerochronology, both through research and the development of TNPC software. His management experience includes overseeing teams and mentoring students, making significant contributions to both scientific research and talent development.

    Awards and Honors 

    Dr. MAHE Kélig’s distinguished contributions to marine science have earned him notable recognition. In 2010, he was awarded the IFREMER Trophée de l’innovation for his pioneering work in scientific, technical, and technological fields. His leadership and contributions have made a global impact, notably in European research collaborations, where he co-chaired 13 international workshops and participated in 4 European working groups. His expertise in sclerochronology has positioned him as an expert for IFREMER in international fora. Dr. MAHE’s influence extends to organizing international symposia, such as the 6th International Symposium on Biological Shape Analysis in 2019. His collaborative spirit and innovative work have consistently advanced marine research, particularly in fisheries biology, earning him respect and recognition within the global scientific community.

    Research Focus

    Dr. MAHE Kélig’s research centers on sclerochronology, the study of calcified structures in fish, to improve age determination methods and enhance fisheries management. His work plays a critical role in understanding fish population dynamics and the impacts of environmental changes, such as temperature fluctuations and CO2 levels, on marine species. Dr. MAHE has been at the forefront of integrating modern technologies in fisheries research, particularly through his contributions to the TNPC software for processing calcified structures. His research also extends to interdisciplinary collaborations, where he has led and participated in numerous European projects, focusing on sustainable fishery practices, species population structures, and biogeographical studies. His commitment to research excellence is evidenced by his active role in advancing knowledge in otolith morphogenesis, age determination, and stock management, all of which are pivotal for sustainable marine resource management.

     Publications Top Notes

    1. 🐟 Asymmetry of Sagittal Otolith Shape in Mediterranean Red Mullet: Comparative Analysis of 2D and 3D Otolith Shape Data (2023).
    2. 🌊 Effect of Temperature and CO2 on Morphogenesis of Sagittal Otoliths in Atlantic Herring (2023).
    3. 📊 Spatial Structuring of Demersal Fish Around Réunion Island Based on Otolith Shape (2023).
    4. 🧬 New Scale Analyses Reveal Centenarian African Coelacanths (2021).
    5. 🐠 Complementarity and Discriminatory Power of Genotype and Otolith Shape in Eastern English Channel Sole (2020).

MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

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Dr MANSOUREH BARADARAN | Medicine and Dentistry | Best Researcher Award

Dr.mansoureh baradaran, North Khorasan University of Medical Sciences, Iran 

Dr. Mansoureh Baradaran is a board-certified radiologist in Iran, with extensive experience in diagnostic imaging and research collaborations. She holds expertise in conducting systematic reviews and meta-analyses in the radiology field, focusing on neurological, oncological, and radiomics studies. Dr. Baradaran has been involved in collaborative projects with prestigious institutions like UCLA, UCSD, and UAB, working on cutting-edge research in artificial intelligence applications in healthcare. Her clinical skills include professional reporting on a variety of imaging modalities, including whole-body MRI and CT scans, mammography, and ultrasound. Throughout her career, she has authored numerous research papers and book chapters in the field of radiology. Dr. Baradaran is passionate about integrating modern technologies like AI into medical imaging and improving diagnostic accuracy. She is an active member of international radiological societies, contributing to advancements in the global radiology community.

Professional profile

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Evaluation of Mansoureh Baradaran, M.D. for the Research for Best Researcher Award

Mansoureh Baradaran, M.D., presents a remarkable profile in radiology research, with a strong international research background. She has participated in numerous collaborative research projects across prestigious institutions such as UCSD, UCLA, and UAB. Her focus on using artificial intelligence in radiology for predictive analysis, as well as her involvement in high-impact studies on topics like Alzheimer’s disease, COVID-19, and cancer, highlights her expertise in radiomics and systematic reviews. Furthermore, Dr. Baradaran has published extensively, with notable research papers in reputable journals, reflecting her capacity for high-quality scholarly output. Her presentations at international conferences like the Society of Interventional Radiology (SIR) 2023 also emphasize her active engagement with the global research community.

Education :

Dr. Mansoureh Baradaran completed her radiology residency at Mashhad University of Medical Sciences, Razavi Khorasan, Iran, between 2016 and 2020. She graduated with a GPA of 17.80/20 and conducted her thesis on the pathologic results of stereotactic core needle biopsy in patients suspicious for malignancy through microcalcifications in mammography. Prior to this, she earned her Doctor of Medicine (M.D.) degree from Birjand University of Medical Sciences, South Khorasan, Iran, in 2016, with a GPA of 18.50/20. Her medical thesis investigated serum lipid levels in patients with thalassemia major compared to the control group. Dr. Baradaran’s education has been rooted in rigorous clinical and research training, allowing her to develop extensive knowledge in radiology, diagnostic imaging, and related research fields. Her educational background reflects a strong commitment to both clinical excellence and research contributions in medical science.

Experience :

Dr. Mansoureh Baradaran currently practices as a radiologist at Dr. Mohajerzadeh Private Radiology Clinic in Bojnurd, Iran, and the Avan Advanced Private Medical Center in Mashhad, Iran. She specializes in performing and interpreting imaging modalities, including ultrasounds, MRI, CT scans, and mammography. Between 2020 and 2024, she worked at North Khorasan University of Medical Science’s hospitals, where she gained extensive experience in diagnostic imaging and reporting across various radiological fields. Dr. Baradaran has also been actively involved in international research collaborations, contributing to studies on artificial intelligence, radiomics, and neurological imaging. These collaborations include working with top institutions like UCLA, UCSD, and UAB on projects such as AI applications in hepatocellular carcinoma recurrence and diagnostic performance of MRI radiomics for Alzheimer’s disease. Her hands-on clinical work is complemented by her commitment to advancing radiological research and diagnostics.

Awards and Honors :

Dr. Mansoureh Baradaran has earned several prestigious accolades throughout her medical and academic career. She secured a double-digit rank in Iran’s highly competitive entrance exam for medical specialties in May 2016, a testament to her academic prowess. Additionally, she achieved national recognition with a high rank in Iran’s basic medical science exam in September 2011. Her exceptional academic performance during her radiology residency, with a GPA of 17.80/20, further highlights her commitment to excellence in her field. Dr. Baradaran’s achievements are not limited to exams; she has co-authored numerous research papers and book chapters, contributing significantly to medical science. Her work in artificial intelligence applications in radiology and diagnostic imaging has been recognized at international conferences such as the Society of Interventional Radiology (SIR) 2023. These awards and honors reflect her dedication to both clinical practice and innovative medical research.

Research Focus :

Dr. Mansoureh Baradaran’s research is focused on diagnostic radiology, radiomics, and the integration of artificial intelligence (AI) in medical imaging. She has contributed to numerous systematic reviews and meta-analyses in areas such as Alzheimer’s disease, lung cancer, and neurological complications related to COVID-19. A significant portion of her research involves the use of radiomics for predictive modeling in diseases like non-small cell lung cancer and hepatocellular carcinoma. Her work aims to enhance diagnostic accuracy through the application of advanced imaging techniques and AI-driven technologies. Dr. Baradaran is particularly interested in how AI can improve the early detection of disease recurrence and optimize treatment outcomes. Additionally, her research on olfactory dysfunction related to COVID-19 has provided valuable insights into the long-term effects of the virus on neuroimaging. Her contributions to radiology extend beyond clinical applications, delving into the future of AI in healthcare diagnostics.

Publications Top Notes:

  1. Diagnostic performance of MRI radiomics for classification of Alzheimer’s disease, mild cognitive impairment, and normal subjects 🧠📊
  2. Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients 🩸📈
  3. Brain MRI findings in neurologically symptomatic COVID-19 patients 🦠🧠
  4. Legg-Calve-Perthes Disease: A comprehensive review of diagnosis, management, and current treatment options 🦴👩‍⚕️
  5. Diagnostic performance of radiomics in prediction of Ki-67 index status in non-small cell lung cancer 🫁📉
  6. Olfactory dysfunction in the COVID-19 era: An umbrella review focused on neuroimaging 👃🦠
  7. Pathologic results of stereotactic core needle biopsy in patients suspicious to microcalcification on mammography 🔬🩺
  8. Cystic teratoma of the oral cavity 👶👄
  9. Spontaneous rupture of accessory spleen 16 years after splenectomy 🩸🧬
  10. Spontaneous rupture of splenic artery aneurysm in a pregnant woman 🩸🤰