Early Academic Pursuits:

Dr. Yadvendra Pratap Singh embarked on his academic journey with a strong foundation in Information Technology, completing his Bachelor's degree from Uttar Pradesh Technical University, Lucknow. He continued his pursuit of knowledge by obtaining a Master's degree in Computer Science and Geoinformatics from Motilal Nehru National Institute of Technology, Allahabad. His passion for learning and research led him to further specialize in the field, culminating in a Ph.D. in Computer Science and Engineering with a focus on Geoinformatics from the same institute.

Professional Endeavors:

With a robust academic background, Dr. Singh ventured into the realm of academia, starting as a Lecturer in the Computer Science and Engineering department at C.S.M College of Engineering and Technology, Allahabad. Over the years, he ascended through the ranks, serving as an Assistant Professor at esteemed institutions such as Galgotias University, Greater Noida, and Noida Institute of Engineering and Technology. Currently, he holds the position of Assistant Professor (Senior Scale) at Manipal University Jaipur, where he contributes significantly to the Department of Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning (CSE-AIML).

Contributions and Research Focus On deep learning:

Dr. Singh's research interests span across various domains, including Web-GIS, Remote Sensing, Image Processing, Machine Learning, and Deep Learning. His notable contributions include the development of an automatic system for studying coal mine surfaces using Sentinel-2 data, showcasing his prowess in harnessing advanced technologies for real-world applications. Additionally, his research has been published in reputable journals, further solidifying his standing in the academic community.

Accolades and Recognition:

Dr. Yadvendra Pratap Singh's dedication to academia and research has not gone unnoticed. He has garnered accolades for his scholarly achievements, evident from his H-Index of 2 and total citations of 14 on Google Scholar. Furthermore, his expertise is recognized through his involvement as a reviewer for esteemed journals and grants, reflecting his commitment to advancing the field of computer science. Delve into the realm of Deep Learning with Dr. Yadvendra Pratap Singh, an esteemed researcher.

With a focus on innovation and excellence, Dr. Singh explores cutting-edge techniques to advance the field. Uncover his groundbreaking contributions and expertise in deep learning, shaping the future of artificial intelligence.

Impact and Influence:

Beyond his individual achievements, Dr. Singh's impact resonates through his mentorship and guidance to aspiring researchers and students. His leadership roles within academic committees, such as being a Nucleus member of the Entrepreneurship Cell and serving on the Budget Committee at Manipal University Jaipur, demonstrate his commitment to fostering a conducive learning environment. Through his teaching, research, and administrative contributions, he continues to inspire the next generation of innovators and thought leaders in the field of AI and ML.

Legacy and Future Contributions:

As Dr. Yadvendra Pratap Singh looks towards the future, his vision extends beyond personal success to making meaningful contributions that positively impact society. He aspires to be a recognized leader in the field of Artificial Intelligence and Machine Learning, leveraging his expertise to drive advancements that address pressing societal challenges. With a steadfast commitment to excellence, mentorship, and service, Dr. Singh's legacy will continue to shape minds and advance technology for years to come.

In conclusion, Dr. Yadvendra Pratap Singh's journey exemplifies a blend of academic excellence, research prowess, and a passion for making a difference. Through his multifaceted contributions to academia and society, he stands as a beacon of inspiration for aspiring researchers and educators alike.

Hamed Bahmanabadi - Fatigue - Best Researcher Award

Semnan University - Iran

Professional Profiles

ORCID
Scopus

Early Academic Pursuits

Hamed Bahmanabadi embarked on his academic journey at Semnan University, Iran, where he pursued his Bachelor's degree in Mechanical Engineering from 2012 to 2017. His dedication and scholarly pursuits were evident early on, culminating in the 1st Ranked Bachelor Thesis in the Top Thesis Festival of the 2nd National Congress of Internal Combats. Under the guidance of Dr. Mohammad Azadi, Hamed delved into the intricacies of Continuum Damage Mechanics, focusing on the evaluation of this theory in the context of Inconel 713C Nickel-based Superalloy under force-controlled creep loading.

Professional Endeavors

Building upon his undergraduate success, Hamed continued his academic journey at Semnan University, where he earned his Master's degree in Mechanical Engineering from 2017 to 2020. His Master's thesis, titled "Experimental and Numerical Study on Low-cycle Fatigue Behavior of Aluminum Metal Matrix Nanocomposite at Different Temperatures," demonstrated a profound understanding of mechanical behaviors in complex materials. During this period, he also served as a Visiting Researcher at the Chair of Mechanical Engineering at Montanuniversität Leoben, Austria. Under the supervision of Dr. Mohammad Azadi, Prof. Florian Grün, and Dr. Gerhard Winter, Hamed focused on LCF Testing on Aluminum Metal-matrix Nano-composites, showcasing his commitment to international collaboration and research excellence.

Contributions and Research Focus

Hamed Bahmanabadi's research contributions span a diverse range of topics within the field of Mechanical Engineering. His expertise includes HCF, LCF, TMF, Mechanics of Materials, Coating, Materials Characterization, Additive Manufacturing, Mechanical Properties, Corrosion, and Metallurgical Investigation. His noteworthy publications, such as "A comparison between hysteresis stress-strain loops of aluminum alloys and heat-treated nano-composites under thermo-mechanical fatigue loadings," and "Impacts of nano-clay particles and heat-treating on out-of-phase thermo-mechanical fatigue characteristics in piston aluminum-silicon alloys," reflect his commitment to advancing the understanding of materials behavior under various conditions.

Accolades and Recognition

Hamed's academic prowess and research excellence have not gone unnoticed. His Master's thesis received high acclaim, earning him a remarkable score of 19.42 out of 20. Moreover, his Bachelor's thesis secured the top rank in a national competition, showcasing his early promise as a researcher. The numerous peer-reviewed articles authored by Hamed have been published in reputable journals, further solidifying his standing in the academic community.

Impact and Influence

Hamed Bahmanabadi's research has made a significant impact on the field of Mechanical Engineering, particularly in the areas of fatigue behavior, materials characterization, and the application of advanced composites. His work, including the investigation of nano-clay particles' effects on the mechanical properties of piston aluminum-silicon alloys, has practical implications for industries reliant on such materials.

Legacy and Future Contributions

As a burgeoning researcher, Hamed Bahmanabadi's legacy lies in his commitment to rigorous scientific inquiry and international collaboration. His work at Montanuniversität Leoben demonstrates a global perspective, and his diverse research interests signal a readiness to tackle complex challenges. In the future, Hamed is poised to make further contributions to the understanding of material behaviors, with potential applications in industries ranging from aerospace to automotive engineering.

Notable Publications

Modeling of Fatigue Behavior in Pre-corroded AZ31 Magnesium Alloy 2023-12

A comparison between hysteresis stress-strain loops of aluminum alloys and heat-treated nano-composites under thermo-mechanical fatigue loadings 2023-12-26

Impacts of nano-clay particles and heat-treating on out-of-phase thermo-mechanical fatigue characteristics in piston aluminum-silicon alloys 2023-06-22

Cyclic hardening/softening experimental data in nano-clay-composite and aluminum alloy under high-temperature strain-controlled loading 2022

Sensitivity Analysis of Solutioning Time, Ageing Temperature, and Clay Nano-Particles Addition on Hardness of Piston Aluminum-Silicon Alloy using Regression Method 2022-12

Experimental study on thermal expansion coefficient of light aluminum and magnesium alloys by comparing results of dilatometry and zero-force test 2021

Dr. Yadvendra Pratap Singh – deep learning – Best Researcher Award

Dr. Yadvendra Pratap Singh - deep learning - Best Researcher Award

Manipal University Jaipur - India

Professional Profiles

Early Academic Pursuits:

Professional Endeavors:

Contributions and Research Focus On deep learning:

Accolades and Recognition:

Impact and Influence:

Legacy and Future Contributions:

Notable Publications: