University teacher at Chaohu University, China

🌟 Yuqin Wang is an associate professor in the School of Mechanical Engineering at Chaohu University, China. 🏫 With a passion for advancing engineering education, he has made significant contributions to the design of virtual simulation systems and mechanical system testing and control. 💻🔧 Yuqin has presided over five teaching and research projects and published multiple SCI-indexed papers that enhance the engineering practice abilities of students. 📚🎓 His innovative “One Body, Two Wings” virtual simulation teaching system combines online and offline resources, fostering student innovation and professional skills in intelligent manufacturing. 🤖✨ Yuqin’s dedication to integrating technology into teaching has made him a leading figure in modern engineering education.

Professional Profiles:

orcid

Education 🎓

Postgraduate Degree in Mechanical Engineering Institution: Chaohu University Yuqin Wang completed his postgraduate studies focusing on mechanical system testing and control. His academic background reflects a strong commitment to integrating technology into traditional engineering disciplines, enabling innovative applications in teaching and research. ✨📚

Experience 💼

Associate Professor: Chaohu University Focused on virtual simulation, mechanical system testing, and control. Implemented advanced teaching methodologies for intelligent manufacturing professionals. Published 10+ SCI-indexed academic papers on engineering education.

Awards and Honors 🏆

Notable Contributions: Recognized for innovative virtual simulation teaching methodologies. Publications: 10 SCI-indexed papers.

Research Focus 📚

Area: Virtual simulation design for intelligent manufacturing. Impact: Enhancing practical and cognitive engineering skills.

✍️Publications Top Note :

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

Conclusion

Yuqin Wang is a strong contender for the Best Researcher Award due to his dedication to advancing mechanical system testing and virtual simulation. His research has significantly impacted engineering education and professional development. Addressing areas like patents, industry collaborations, and broader outreach can further solidify his position as an innovator and leader in his field.

Jinxia Zhang | Defect detection | Best Researcher Award

Posted on 18/10/202418/10/2024 by ScienceFather

Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors 🏆

Assoc Prof Dr. Jinxia Zhang has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus 🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication Top Notes

Towards the Quantitative Evaluation of Visual Attention Models (2015)
- Citation: 75
- Journal: Vision Research
- Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
- Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
- Citation: 63
- Journal: Pattern Recognition
- Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
- Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
Salient Object Detection by Fusing Local and Global Contexts (2020)
- Citation: 60
- Journal: IEEE Transactions on Multimedia
- Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
- Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
- Citation: 36
- Journal: Journal of Modern Power Systems and Clean Energy
- Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
- Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
- Citation: 35
- Journal: Journal of Vision
- Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
- Highlights: Examines human visual foraging behavior in dynamically changing environments.
Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
- Citation: 25
- Journal: Biomedical Signal Processing and Control
- Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
- Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
- Citation: 23
- Journal: Applied Energy
- Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
- Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
Salient Object Detection via Deformed Smoothness Constraint (2018)
- Citation: 21
- Journal: IEEE International Conference on Image Processing (ICIP)
- Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
- Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
Character Recognition via a Compact Convolutional Neural Network (2017)
- Citation: 20
- Conference: International Conference on Digital Image Computing
- Key Contributors: H. Zhao, Y. Hu, J. Zhang
- Highlights: Develops a compact CNN for robust character recognition in natural scene images.
A Prior-Based Graph for Salient Object Detection (2014)
- Citation: 23
- Conference: IEEE International Conference on Image Processing (ICIP)
- Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
- Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Assoc Prof Dr. Xinyu Liu | Brain Computer Interface | Best Researcher Award

Posted on 03/09/202403/09/2024 by ScienceFather

Assoc Prof Dr. Xinyu Liu | Brain Computer Interface | Best Researcher Award

Dr. Huanghuai University, china

Dr. Xinyu Liu, Assistant Dean of the School of Intelligent Manufacturing at Huanghuai University, holds a B.S. in Automation from Henan University and an M.S. and Ph.D. in Control Science and Engineering from Zhengzhou University. Since joining Huanghuai University in 2017, he has made significant contributions to neural mechanism analysis, brain-computer interface technology, and animal robotics. Dr. Liu has led numerous high-impact research projects, including the Henan University Science and Technology Innovation Talent Project and National Natural Science Foundation of China Youth Foundation. His work focuses on spatial navigation, cognitive mapping, and smart home technologies for disabled patients, with a strong emphasis on interdisciplinary innovation.

Professional Profiles:

Orcid

🎓 Academic and Professional Background

Xinyu Liu received his B.S. degree in Automation from Henan University, Kaifeng, China, in 2009. He earned his M.S. degree in Detection Technology and Automation Instruments and his Ph.D. in Control Science and Engineering from Zhengzhou University, Zhengzhou, China, in 2012 and 2017, respectively. In 2017, he joined Huanghuai University, where he currently serves as an Associate Professor in the School of Intelligent Manufacturing.

🚀 Research and Innovations

Completed/Ongoing Research Projects:Henan University Science and Technology Innovation Talent Project: Spatial Navigation Neural Mechanism Analysis, Modeling and Application (24HASTIT041), 2024.01-2026.12, 300,000 RMB (Project Leader)Training Program for Young Backbone Teachers in Colleges and Universities of Henan Province: Research on Key Technologies of Animal Robots (2023JGGJS156), 2024.01-2026.12, 30,000 RMB (Project Leader)Youth Foundation of National Natural Science Foundation of China: Information Encoding Mechanism of Pigeon Hippocampus Cognitive Map for Navigation Targets (62003146), 2021.01-2023.12, 240,000 RMB (Project Leader)Key Research and Development Project of Henan Province: Research and Development and Industrialization of Key Technology for Sports Rehabilitation of Brain Computer Interface Nerve Injury
(241111211600), 2024.01-2026.12, 1.1 million RMB (Project Leader)

Evaluation of Dr. Liu Xinyu for the Best Researcher Award

Strengths:

Diverse Research Portfolio: Dr. Liu Xinyu has demonstrated an impressive range of research interests, focusing on cutting-edge areas such as brain-computer interfaces, spatial navigation, and robotics. His work spans from the fundamental analysis of neural mechanisms to practical applications in brain-controlled systems and smart home technologies for disabled patients.
Leadership in Research Projects: Dr. Liu has successfully led numerous high-impact research projects, securing substantial funding from prestigious institutions like the National Natural Science Foundation of China and the Henan Provincial Key Laboratory. His ability to attract and manage large-scale projects reflects his leadership, project management skills, and recognition in his field.
Contributions to Neurotechnology: His work on brain-computer interfaces and neurotechnology, especially in the context of rehabilitation and assistive devices, is particularly noteworthy. The focus on translating research into practical applications for disabled patients highlights his commitment to socially impactful research.
Academic Excellence: With advanced degrees in automation, detection technology, and control science, Dr. Liu has a solid academic foundation that supports his innovative research. His position as the Assistant Dean at Huanghuai University underscores his standing in the academic community.
Prolific Publishing and Innovation: Dr. Liu’s consistent output in research and innovation, including projects like the development of mind-ALS brain-controlled systems and bionic navigation technology, showcases his ability to blend theoretical knowledge with technological innovation.

Areas for Improvement:

Broader International Collaboration: While Dr. Liu has achieved significant success within China, expanding his collaborations with international researchers and institutions could enhance the global impact of his work. This might also lead to a more diversified perspective and innovative approaches.
Increased Publication in High-Impact Journals: While leading many projects, increasing the number of publications in top-tier, high-impact international journals could further elevate his academic profile and enhance the visibility of his research.
Focus on Interdisciplinary Research: Dr. Liu could benefit from engaging in more interdisciplinary research that combines his expertise in neurotechnology with other emerging fields such as artificial intelligence and machine learning. This could open up new avenues for innovation and practical applications.

✍️Publications Top Note :

Development of Digital Stereotaxic Instrument for Pigeons (Columba Livia)

Journal: Journal of Bionic Engineering

Publication Date: July 2022

DOI: 10.1007/s42235-022-00194-0

Contributors: Xinyu Liu, Yanna Ping, Dongyun Wang, Hang Xie, Li Shi

Adaptive Common Average Reference for In Vivo Multichannel Local Field Potentials

Journal: Biomedical Engineering Letters

Publication Date: 2017

DOI: 10.1007/s13534-016-0004-1

Response Properties of Place Cells in the Hippocampus of Freely Moving Pigeons

Journal: Scientia Sinica Vitae

Publication Date: 2017

Contributors: Xinyu Liu, Hong Wan, Xuemei Chen, Zhigang Shang, Li Shi, Shan Li, Yan Chen, Jiejie Nie

The Role of Nidopallium Caudolaterale in the Goal-Directed Behavior of Pigeons

Journal: Behavioural Brain Research

Publication Date: March 2017

DOI: 10.1016/j.bbr.2017.02.042

Decoding Movement Trajectory of Hippocampal Place Cells by Particle Filter

Journal: Progress in Biochemistry and Biophysics

Publication Date: 2016

DOI: 10.16476/j.pibb.2016.0082

Conclusion:

Dr. Liu Xinyu is a highly accomplished researcher whose work in brain-computer interfaces, neurotechnology, and automation stands out as both innovative and impactful. His leadership in numerous high-profile research projects and his role as an Assistant Dean at Huanghuai University further attest to his capabilities and contributions to the field. To reach even greater heights, Dr. Liu could focus on expanding his international collaborations, increasing his presence in high-impact journals, and embracing more interdisciplinary approaches. Given his achievements and potential for future contributions, Dr. Liu Xinyu is a strong candidate for the Best Researcher Award.

Joon-Seok Chae | Tick-borne diseases | Best Researcher Award

Posted on 04/07/202404/07/2024 by ScienceFather

Prof Dr. Joon-Seok Chae | Tick-borne diseases | Best Researcher Award

Prof Dr. Seoul National UIniversity College of Veterinary Medicine, South Korea

Dr. Prof Dr. Joon-Seok Chae earned a Ph.D. from the Graduate School of Veterinary Medicine at Chonbuk National University in 1994. Following this, they pursued postdoctoral research at Texas A&M University and the University of California-Davis. They served as an Associate Professor at Chonbuk National University from 2000 to 2005 and later as a Visiting Professor at UC Davis in 2006. Since 2007, Dr. [Name] has been a Professor of Veterinary Internal Medicine at Seoul National University, contributing significantly to the field through research and teaching, particularly in veterinary internal medicine and vector-borne diseases.

Professional Profiles:

Google scholar

Academic Qualifications 🎓

1994 Ph.D.
Graduate School of Veterinary Medicine, Chonbuk National University

Professional Experience 🌟

1995~1997 Postdoctoral Fellow
🧬 Department of Pathobiology, College of Veterinary Medicine, Texas A&M University

1998~1999 Postdoctoral Fellow
🦠 Department of Epidemiology and Medicine, School of Veterinary Medicine, University of California-Davis

2000~2005 Associate Professor
🐾 Veterinary Internal Medicine, College of Veterinary Medicine, Chonbuk National University

2006 Visiting Professor
🦟 Center for Vector-borne Diseases, School of Veterinary Medicine, University of California-Davis

2007~Present Professor
🐶 Veterinary Internal Medicine, College of Veterinary Medicine, Seoul National University

✍️Publications Top Note :

Tick-borne Rickettsial Pathogens in Ticks and Small Mammals in Korea

CM Kim, YH Yi, DH Yu, MJ Lee, MR Cho, AR Desai, S Shringi, TA Klein, JS Chae Applied and Environmental Microbiology, 2006, 72(9), 5766-5776

Citations: 228

This pivotal study explores the presence of rickettsial pathogens in ticks and small mammals across Korea, contributing significantly to our understanding of tick-borne diseases in the region.

Identification of Ehrlichia chaffeensis, Anaplasma phagocytophilum, and A. bovis in Ticks from Korea

CM Kim, MS Kim, MS Park, JH Park, JS Chae Vector-Borne and Zoonotic Diseases, 2003, 3(1), 17-26

Citations: 197

This research identifies critical pathogens in ticks, enhancing diagnostic and preventative measures against these diseases.

Identification of Salmonella gallinarum Virulence Genes in a Chicken Infection Model

DH Shah, M Lee, J Park, J Lee, S Eo, J Kwon, J Chae Microbiology, 2005, 151(12), 3957-3968

Citations: 150

This study uses PCR-based signature-tagged mutagenesis to identify virulence genes in Salmonella gallinarum, providing insights into bacterial pathogenicity.

Detection of Bartonella Species from Ticks, Mites, and Small Mammals in Korea

CM Kim, JY Kim, YH Yi, MJ Lee, MR Cho, DH Shah, TA Klein, HC Kim, JS Chae Journal of Veterinary Science, 2005, 6(4), 327-334

Citations: 138

Investigates the presence of Bartonella species in various vectors and hosts, contributing to the broader understanding of Bartonella transmission.

Serologic and Molecular Detection of Ehrlichia chaffeensis and Anaplasma phagocytophila in Korean Patients

E Heo, J Park, J Koo, M Park, M Park, JS Dumler, J Chae Journal of Clinical Microbiology, 2002, 40(8), 3082-3085

Citations: 123

Provides vital information on the prevalence of these pathogens in human patients, supporting better diagnostic practices.

Prevalence and Characteristics of Escherichia coli O157 from Major Food Animals in Korea

MY Jo, JH Kim, JH Lim, MY Kang, HB Koh, YH Park, DY Yoon, JS Chae International Journal of Food Microbiology, 2004, 95(1), 41-49

Citations: 106

Examines the occurrence and properties of E. coli O157 in food animals, with implications for food safety and public health.

Microbial Pathogens in Ticks, Rodents, and a Shrew in Northern Gyeonggi-do Near the DMZ, Korea

JS Chae, DH Yu, S Shringi, TA Klein, HC Kim, ST Chong, IY Lee, J Foley Journal of Veterinary Science, 2008, 9(3), 285-293

Citations: 101

Studies the prevalence of various microbial pathogens in vectors and hosts, aiding in the management of tick-borne diseases.

Molecular Detection of Anaplasma, Bartonella, and Borrelia Species in Ticks Collected from Migratory Birds

JG Kang, HC Kim, CY Choi, HY Nam, HY Chae, ST Chong, TA Klein, S Ko, JS Chae Vector-Borne and Zoonotic Diseases, 2013, 13(4), 215-225

Citations: 97

Highlights the role of migratory birds in the dissemination of tick-borne pathogens, emphasizing the need for surveillance.

Evaluation of the MRSA-Screen Latex Agglutination Test for Detection of MRSA of Animal Origin

JH Lee, JM Jeong, YH Park, SS Choi, YH Kim, JS Chae, JS Moon, H Park, JS Chae Journal of Clinical Microbiology, 2004, 42(6), 2780-2782

Citations: 97

Assesses the efficacy of a diagnostic test for MRSA, which is crucial for both human and veterinary medicine.

A Study of the Systematics of Theileria spp. Based Upon Small-Subunit Ribosomal RNA Gene Sequences

J Chae, BA Allsopp, SD Waghela, J Park, T Kakuda, C Sugimoto, JS Chae Parasitology Research, 1999, 85, 877-883

Citations: 97

This research provides insights into the genetic diversity and systematics of Theileria species, contributing to better control strategies.

New Genetic Variants of Anaplasma phagocytophilum and Anaplasma bovis from Korean Water Deer

J Kang, S Ko, YJ Kim, HJ Yang, H Lee, N Shin, K Choi, JS Chae Vector-Borne and Zoonotic Diseases, 2011, 11(7), 929-938

Citations: 94

Reports new genetic variants of Anaplasma, enhancing the understanding of their epidemiology and diversity.

Infection of Aquatic Insects with Trematode Metacercariae Carrying Ehrlichia risticii

J Chae, N Pusterla, E Johnson, E DeRock, SP Lawler, JE Madigan Journal of Medical Entomology, 2000, 37(4), 619-625

Citations: 94

Investigates the transmission of Potomac Horse Fever, a critical disease affecting equine health.

Prevalence of Brucella Antibodies in Sera of Cows in Bangladesh

KMR Amin, MB Rahman, MS Rahman, J cheol Han, J ho Park, JS Chae Journal of Veterinary Science, 2005, 6(3), 223-226

Citations: 92

Studies the prevalence of Brucella antibodies, contributing to the control of brucellosis in livestock.

Comparison of the Nucleotide Sequences of 16S rRNA, 444Ep-ank, and groESL Genes in Naturally Occurring Ehrlichia equi and Human Infections

J Chae, JE Foley, JS Dumler, JE Madigan Journal of Clinical Microbiology, 2000, 38(4), 1364-1369

Citations: 88

Compares genetic sequences of Ehrlichia species, aiding in the diagnosis and understanding of their pathogenicity.

Prevalence of Tick-borne Encephalitis Virus in Ticks from Southern Korea

S Ko, JG Kang, SY Kim, HC Kim, TA Klein, ST Chong, WJ Sames, SM Yun, JS Chae Journal of Veterinary Science, 2010, 11(3), 197

Citations: 84

Investigates the prevalence of tick-borne encephalitis virus, highlighting the need for preventive measures.

Molecular Epidemiological Study for Tick-borne Disease Surveillance at U.S. Military Training Sites in Korea

JS Chae, CM Kim, EH Kim, EJ Hur, TA Klein, TK Kang, JS Chae Annals of the New York Academy of Sciences, 2003, 990(1), 118-125

Citations: 83

Focuses on the surveillance of tick-borne diseases, crucial for protecting military personnel and local populations.

Occurrence and Characteristics of Enterohemorrhagic Escherichia coli O157 in Calves with Diarrhoea

SJ Kang, SJ Ryu, JS Chae, SK Eo, GJ Woo, JH Lee Veterinary Microbiology, 2004, 98(3-4), 323-328

Citations: 81

Examines E. coli O157 in calves, providing insights into its role in animal and public health.

Nucleotide Sequence Heterogeneity in Theileria Isolates from Cattle, Elk, and White-tailed Deer

J Chae, J Lee, O Kwon, PJ Holman, SD Waghela, GG Wagner Veterinary Parasitology, 1998, 75(1), 41-52

Citations: 78

Studies the genetic diversity of Theileria, contributing to better disease management strategies.

Seasonal Distribution of Ticks in Four Habitats Near the DMZ, Gyeonggi-do, Korea

ST Chong, HC Kim, IY Lee, TM Kollars Jr, AR Sancho, WJ Sames, JS Chae The Korean Journal of Parasitology, 2013, 51(3), 319

Citations: 77

Investigates the seasonal patterns of tick populations, essential for effective control measures.

Genetic Identification and Phylogenetic Analysis of Anaplasma and Ehrlichia Species in Ticks from Jeju Island, Korea

*JY Oh, BC Moon,

Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

Posted on 20/05/202420/05/2024 by ScienceFather

Assoc Prof Dr. Yves Mbono Samba | Structural dynamics | Best Researcher Award

Assoc Prof Dr. Yves Mbono Samba, University of Yaounde 1, Cameroon

Assoc Prof Dr. Yves Mbono Samba is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Scopus

📚Education:

Doctorate in Mechanics, University of Paris 6 (June 1995)Diploma of Advanced Studies in Mechanics, University of Paris 6 (June 1991)Maîtrise (bachelor’s degree) in Mechanics, University of Paris 6 (September 1990)Degree in Physics, University of Paris Sud (June 1988)Diploma of General University Studies, Université Paris Sud (June 1986)

Experience:

Lecturer at University of Yaoundé 1 (since 1995)

Academic Achievements:

I have been actively involved in teaching, research, and student project supervision, guiding 7 PhD and 15 Master’s degree students over the years. My academic journey has been enriched by numerous publications and contributions to the field of mechanics.

📖 Publications Top Note :

1. Vortex Waves in Fluid–Structure Interaction with High Froude Number and a Damped Structure
Simo Kaptue, H., Ngou Zeufo, L., Mbono Samba, Y., Kofané, T.C.
Ocean Engineering, 2024, 306, 117946

2. Theoretical Analysis of Non-linear Dynamic Response of a Bridge Pier Under Two-phase Flow Excitation
Ngou, L.Z., Simo, H.K., Lekama, B.K., Fewo, S.I., Mbono Samba, Y.C.
Journal of Mechanical Science and Technology, 2023, 37(11), pp. 5683–5693

3. Examining Capillary Dynamics in Rectangular and Circular Conduits Subject to Unsteady Surface Tension
Azese, M.N., Engola, J.J., Hona, J., Yap, E.J., Mbono Samba, Y.C.
Journal of Fluid Mechanics, 2022, 949, A6

4. An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
Gounou Pokam, B.P., Domra Kana, J., Meli’i, J.L., Mbono Samba, Y.C., Njandjock Nouck, P.
Applied Sciences (Switzerland), 2022, 12(14), 7175

5. On the Existence and Determination of the Incompressible Laminar Flow Located in the Polar Plane of a Porous Annular Pipe
Makon, N.R., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Alexandria Engineering Journal, 2022, 61(4), pp. 2637–2650

6. Effects of an External Constant Pressure Gradient on a Steady Incompressible Laminar Flow Through a Semi-porous Annular Pipe
Mbogba, G.L., Ngo Nyobe, E., Lamara, M., Mbono Samba, Y.C., Pemha, E.
Zeitschrift für Naturforschung – Section A Journal of Physical Sciences, 2022, 77(2), pp. 131–141

7. Dynamic Analysis and Numerical Simulation of Flexible Multibody Systems
Mbono Samba, Y.C., Pascal, M.
Mechanics of Structures and Machines, 2001, 29(3), pp. 295–316

Assist Prof Dr. Hitesh Kumar Sharma | organic pollutants Award | Best Researcher Award

Posted on 14/03/202414/03/2024 by ScienceFather

Assist Prof Dr. Hitesh Kumar Sharma |organic pollutants Award | Best Researcher Award

Assist Prof Dr. Hitesh Kumar Sharma, Meerut Institute of Technology, India

Dr. Addisu Frinjo Emma is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

🎓 Seeking a Challenging Role in Scientific Analysis and Education

Scientific progress is pivotal for the advancement of human civilization. As an experienced educationist with a passion for scientific research, I am eager to contribute my skills and knowledge to an esteemed organization or educational institute committed to fostering scientific development. My journey in academia has equipped me with a diverse set of qualifications and experiences, highlighted below:

🔬 Educational Qualification

Ph.D. in Physics (2021) – Chaudhary Charan Singh University, Meerut, IndiaTitle: “Synthesis and Characterization of CNT-TiO2 Nanocomposites For Photocatalytic Applications”CSIR-UGC NET (2012)Master of Science in Physics (2012) – Chaudhary Charan Singh University, Meerut, IndiaBachelor of Education (2008) – Vedant College of Education, Hapur, IndiaBachelor of Science (Physics, Chemistry, Maths) (2007) – Hindu College, Moradabad, India

📚 Academic and Research Experience

Over a decade of teaching experience in renowned institutions, including Ch. Charan Singh University, Meerut, and currently at Meerut Institute of Technology.Research expertise in areas such as photocatalytic applications, organic compound degradation, water splitting for hydrogen production, and antibacterial activities.Proficient in experimental techniques including DC/RF Magnetron Sputtering, Spin Coating, Hydrothermal Method, and various spectroscopic methods.

📝 Research Publications and Presentations

Author of several peer-reviewed research papers published in reputed journals, as well as presentations at national and international conferences.Notable publications include studies on CNT-TiO2 nanocomposites, PbS thin films, and sputter deposited TiO2 thin films.

🏆 Awards and Recognitions

Recipient of the Best Paper Award in the 1st Edition of International Research Excellence Best Paper Awards.Patent holder for the hydrothermal process of preparing CNT-templated TiO2 nanospheres.

🌐 Workshops, Webinars, and Collaborations

Active participation in workshops and webinars on diverse topics including nanomaterials, intellectual property rights, and interdisciplinary research.Collaboration with international institutions for technical virtual training on nanomaterials and nanoparticle-based plasma bioscience.I am committed to utilizing my expertise and enthusiasm for scientific inquiry to contribute meaningfully to the growth and success of your organization. Together, let’s embark on a journey of discovery and innovation for the betterment of society and the nation.