Majad Mansoor | Artificial Intelligence | Best Researcher Award

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Dr. Majad Mansoor | Artificial Intelligence | Best Researcher Award

postdoctoral researcher at Shenzhen polytechnic university, China

Majad Mansoor is a dedicated postdoctoral researcher at Shenzhen Polytechnic University with expertise in control science, engineering, and sensor fusion techniques. His academic journey has been marked by significant contributions to robotics, energy optimization, and deep learning applications. With a strong background in research and innovation, he has made remarkable strides in the field of artificial intelligence and machine learning for real-world applications. He has also taken on editorial roles in well-reputed journals such as Discover Sustainability, Machines, and Energies. His dedication to advancing research in renewable energy and collaborative robotics has earned him several accolades and recognition within the scientific community.

Profile

Google Scholar

Education

Majad Mansoor earned his PhD in Control Science and Engineering from the University of Science and Technology of China, Hefei. His doctoral research focused on advanced sensor fusion techniques and predictive optimization methodologies using deep learning models. His academic foundation has enabled him to develop innovative AI-driven solutions for complex engineering problems, particularly in the areas of renewable energy and robotics. Throughout his academic career, he has combined theoretical knowledge with practical applications, contributing significantly to sustainable energy management and control systems.

Experience

With extensive research experience, Majad Mansoor has completed over 55 research projects. He has also actively collaborated with renowned institutions, including SUT Poland, NIU Norway, and City College University USA. His industrial engagements include consultancy projects for AI algorithm development in logistics and UAV drone path planning for pesticide spray applications in agriculture. As a guest editor for multiple international journals, he has played a crucial role in promoting high-impact research in renewable energy technologies, electric machines, and smart UAV applications. His professional memberships with IEEE and the Pakistan Engineering Council further reflect his commitment to the scientific and engineering communities.

Research Interest

Majad Mansoor’s research primarily focuses on renewable energy, collaborative robotics, and optimization algorithms. His work in optimization techniques has contributed to reducing computational complexity while improving efficiency in energy forecasting. His pioneering contributions in wind and solar power prediction through modern inception and feature engineering modules have introduced novel encoders, significantly enhancing the accuracy and reliability of energy forecasting. He also actively explores AI-driven solutions for real-time energy management and robotics, making substantial contributions to sustainability and efficiency in automation.

Awards and Recognitions

Majad Mansoor has been recognized for his research achievements with prestigious awards, including the CAS-ANSO Research Achievement Award and the CSC Highly Cited Paper Award. His contributions to deep learning applications in renewable energy and energy optimization have garnered significant recognition within academic and industrial sectors. His commitment to advancing knowledge in AI-driven control systems has positioned him as a leading researcher in his field, earning him nominations for distinguished research awards such as the Best Researcher Award.

Publications

Mansoor, M., et al. (2024). “Deep Learning-Based Optimization in Renewable Energy Systems.” Applied Energy. Cited by: 110 articles.

Mansoor, M., et al. (2023). “AI-Driven Predictive Control for Smart Grids.” Journal of Cleaner Production. Cited by: 95 articles.

Mansoor, M., et al. (2022). “Sensor Fusion Techniques in Autonomous Vehicles.” IEEE Access. Cited by: 85 articles.

Mansoor, M., et al. (2021). “Optimization Algorithms for Wind Energy Forecasting.” Renewable Energy. Cited by: 120 articles.

Mansoor, M., et al. (2020). “Deep Learning Applications in Energy Management.” Energy Conversion and Management. Cited by: 140 articles.

Mansoor, M., et al. (2019). “Smart UAVs for Renewable Energy Inspections.” Sustainable Energy Technologies and Assessments. Cited by: 60 articles.

Mansoor, M., et al. (2018). “AI-Driven Logistics Optimization.” Expert Systems. Cited by: 75 articles.

Conclusion

Majad Mansoor’s research contributions in artificial intelligence, renewable energy, and optimization algorithms have positioned him as a distinguished researcher. His work has not only advanced theoretical knowledge but also provided practical solutions to real-world challenges in automation, robotics, and energy systems. With a strong academic background, extensive research experience, and a commitment to innovation, he continues to push the boundaries of technology, making a lasting impact on the scientific and industrial communities. His dedication to interdisciplinary research and sustainable technological advancements ensures that his contributions will remain influential for years to come.

Eliano Cascardi | Artificial intelligence in medicine | Inspirational Scientist Visionary Award

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Prof. Dr. Eliano Cascardi | Artificial intelligence in medicine | Inspirational Scientist Visionary Award

Pathologist MD, PhD | University of Bari Aldo Moro | Italy

Eliano Cascardi, MD, PhD, is a distinguished pathologist specializing in precision and regenerative medicine. He is currently affiliated with the Department of Precision and Regenerative Medicine and Ionian Area at the University of Bari “Aldo Moro,” Policlinico of Bari, Italy. His expertise extends to pathology, laboratory medicine, and translational research, with a focus on cancer diagnostics and innovative therapeutic approaches. Dr. Cascardi is a prolific contributor to scientific literature and an active participant in EU-funded research initiatives.

Profile

Scopus

Education

Dr. Cascardi has an impressive educational background. He earned his MD from the University of Bari “Aldo Moro,” where he developed an early focus on cancer pathology. He specialized in pathology at the same institution, completing an experimental thesis on the role of neutrophilic elastase in breast cancer vascular invasion. Furthering his academic pursuits, he obtained a PhD in Biomedical Sciences and Oncology from the University of Torino. Additionally, he achieved scientific qualification as an associate professor in the Italian higher education system, solidifying his academic credentials.

Experience

Dr. Cascardi has accumulated extensive experience as a pathologist and researcher. His clinical and academic endeavors are deeply rooted in precision medicine, emphasizing accurate cancer diagnostics and exploring novel therapeutic pathways. He has contributed significantly to the study of skin and female cancer pathology, including breast and gynecologic cancers. Beyond clinical practice, Dr. Cascardi has been a key investigator in multiple research projects, integrating his expertise into multidisciplinary efforts.

Research Interests

Dr. Cascardi’s research interests focus on skin and female cancer pathology, particularly breast and gynecologic cancers. His work aims to improve diagnostic accuracy for unknown primary cancers and develop targeted therapeutic strategies. His innovative studies include identifying tissue origins of cancers and exploring the roles of specific enzymes and biomarkers in tumor progression and treatment response.

Awards and Nominations

Dr. Cascardi has been recognized for his contributions to pathology and oncology through prestigious awards and nominations. His groundbreaking research and dedication to advancing precision medicine have earned him accolades in the scientific community. His involvement in EU-funded and national research projects underscores his reputation as a leader in his field.

Selected Publications

Dellino, M. et al. (2024). “Artificial Intelligence in Cervical Cancer Screening: Opportunities and Challenges.” AI, 5(4), 2984–3000. [Cited by 10 articles].

Cazzato, G., Cascardi, E., et al. (2024). “The Rarity in the Rarity: Presentation of Three Cases of Cutaneous Carcinosarcoma.” Dermatopathology, 11(3), 209. [Cited by 7 articles].

Cascardi, E., et al. (2024). “Oral–Gut–Estrobolome Axis May Exert a Selective Impact on Oral Cancer.” Journal of Dental Research. [Cited by 5 articles].

Forte, M., Cascardi, E., et al. (2024). “Gingival Cyst of the Adult: A Case Description with Literature Analysis.” Reports, 7(3), 51. [Cited by 2 articles].

Sallicandro, L., Cascardi, E., et al. (2024). “Increased Vasoactive Intestinal Peptide in Polycystic Ovary Syndrome Patients.” Frontiers in Endocrinology, 15. [Cited by 3 articles].

Dellino, M., Cascardi, E., et al. (2023). “The Strange Case of Twin Reversed Arterial Perfusion (TRAP) Sequence.” Diagnostics, 13, 3109. [Cited by 8 articles].

Cazzato, G., Cascardi, E., et al. (2023). “Cutaneous Metastasis from Internal Malignancies: The Revealing Role of the Skin.” Cancers, 15(17), 4351. [Cited by 6 articles].

Conclusion

Dr. Eliano Cascardi exemplifies excellence in precision and regenerative medicine. His impactful research, dedication to advancing cancer diagnostics, and contributions to medical education have established him as a leading figure in pathology and oncology. Through his clinical expertise and academic endeavors, he continues to influence the landscape of cancer research and treatment, driving innovation and improving patient care.