•  Doctorate at Deepak Kumar National Institute of Ocean Technology, India 

Deepak Kumar is a highly accomplished researcher in the field of Engineering, specializing in Computational Fluid Dynamics. He holds a Ph.D. in Engineering from the National Institute of Technology, Rourkela, and has a Master’s degree from Birla Institute of Technology, Mesra. With a background in Mechanical Engineering, Deepak has focused his research on various aspects of fluid dynamics, including flow-structure interaction, heat transfer, and deep-sea mining systems. He has extensive teaching experience and has published numerous papers in reputable journals. Deepak is recognized for his contributions to the field through awards and honors and continues to be active in research and academia.

Author Metrics

Deepak Kumar’s publications demonstrate a high level of scholarly output and impact. He has authored several papers in well-regarded journals such as “Eur. J. Mech. – B/Fluids” and “Physics of Fluids.” These publications have received citations and recognition within the academic community, highlighting Deepak’s influence and contribution to the field.

Scopus Profile

ORCID Profile

Education

Deepak Kumar completed his Bachelor of Technology in Mechanical Engineering from Punjab Technical University. He pursued his Master of Engineering degree at Birla Institute of Technology, Mesra, specializing in Heat Power Engineering. Later, he obtained his Ph.D. in Engineering from the National Institute of Technology, Rourkela, with a focus on Computational Fluid Dynamics.

Research Focus

Deepak Kumar’s research interests revolve around various aspects of fluid dynamics, including flow-structure interaction, air-lift pump systems, non-Newtonian flows, nano-fluids, micro-channel heat sinks, and deep-sea mining systems. His work encompasses numerical investigations and experimental studies aimed at understanding and improving the efficiency and performance of fluid systems in different applications.

Professional Journey

Deepak Kumar has a diverse professional journey, starting as a Teaching Assistant at University Polytechnic, BIT Mesra, Ranchi. He then served as an Assistant Professor at RVS College of Engg. & Tech., Jamshedpur, where he taught undergraduate courses in Fluid Mechanics and Heat Transfer. Currently, he holds the position of Project Scientist at the National Institute of Ocean Technology, Chennai, where he is involved in the development of integrated mining machine components and air-lift pumping systems for vertical nodules transportation.

Honors & Awards

Deepak Kumar has been recognized for his academic and research achievements through various honors and awards. He received scholarships and fellowships during his postgraduate and doctoral studies. Additionally, he obtained institute scholarships and was awarded for his contributions to workshops and short-term courses in his field of expertise.

Publications Top Noted & Contributions

Deepak Kumar has made significant contributions to the field of Engineering through his publications in reputable journals and conference proceedings. His research papers cover topics such as non-Newtonian fluid flow, heat transfer characteristics, numerical investigations of fluid systems, and optimization of heat transfer processes. These contributions have expanded the knowledge base and advanced the understanding of fluid dynamics and related phenomena.

Air-lift pump systems for vertical solid particle transport: A comprehensive review and deep sea mining potential

• Journal: Ocean Engineering
• Publication Date: April 2024
• DOI: 10.1016/j.oceaneng.2024.116928
• Contributors: Deepak Kumar; K. Amudha; K. Gopakumar; G.A. Ramadass

Effect of Confinement on Flow Around a Rotating Elliptic Cylinder in Laminar Flow Regime

• Journal: Journal of Fluids Engineering
• Publication Date: October 1, 2023
• DOI: 10.1115/1.4062621
• Contributors: Prateek Gupta; Sibasish Panda; Akhilesh Kumar Sahu; Deepak Kumar

Effect of confinement on flow around a rotating elliptic cylinder in laminar flow regime

• Source: arXiv
• Publication Date: 2022
• DOI: 10.48550/arXiv.2208.08669
• Contributors: Gupta, P.; Panda, S.; Sahu, A.K.; Kumar, D.

Steady Flow of Power-Law Fluids Past an Inclined Elliptic Cylinder

• Type: Book Chapter
• Publication Date: 2022
• DOI: 10.1007/978-981-16-6928-6_6
• Contributors: Prateek Gupta; Deepak Kumar; Akhilesh K. Sahu

Momentum and heat transfer characteristics of a rotating elliptical cylinder in vortex shedding flow of power-law fluids

• Journal: Physics of Fluids
• Publication Date: October 2022
• DOI: 10.1063/5.0114516
• Contributors: Deepak Kumar; Akhilesh Kumar Sahu

These publications demonstrate Deepak Kumar’s involvement in various research projects related to fluid dynamics, including the study of air-lift pump systems, flow around rotating cylinders, and the behavior of power-law fluids. Deepak has collaborated with several co-authors, indicating a multidisciplinary approach to his research. These contributions highlight his expertise and contributions to the field of ocean engineering and fluid dynamics.

Research Timeline

Deepak Kumar’s research journey spans from his undergraduate studies to his current position as a Project Scientist. He began his research endeavors during his Master’s program, continued through his doctoral studies, and now actively contributes to projects at the National Institute of Ocean Technology. His timeline showcases a progression of expertise and experience in the field of Engineering, with each phase contributing to his overall research portfolio and professional development.

•   Professor at Northwestern Polytechnical University, China

Zhanjun Huang is a highly accomplished researcher in the field of electrical engineering, specializing in power electronics, machine learning, and artificial intelligence. With a strong academic background and extensive experience in both academia and industry, he has made significant contributions to fault diagnosis and health management systems for various electromechanical systems. Zhanjun has a proven track record of publishing in top-tier journals and conferences and has received numerous awards and honors for his research work. He is an active member of several professional societies and serves as a reviewer for prominent international journals in his field.

Author Metrics

Zhanjun Huang’s research output is characterized by high-quality publications and strong author metrics. His work has been cited extensively, demonstrating its influence and relevance within the academic community. With a focus on impactful research and dissemination of knowledge, Zhanjun consistently strives for excellence in both scholarly output and author reputation.

Scopus Link

Citations: 517 citations by 448 documents

Documents: 21

h-index: 11

Education

Zhanjun Huang holds a Ph.D. in Power Electronics and Power Transmission from Northeast University, where he also completed his master’s and bachelor’s degrees in Electrical Theory and New Technology and Communication Engineering, respectively. His educational background has provided him with a solid foundation in electrical engineering principles and advanced knowledge in machine learning, data processing, and fault diagnosis.

Research Focus

Zhanjun Huang’s research focuses on several key areas, including machine learning, artificial intelligence, pattern recognition, and their applications in fault diagnosis and health management systems. His work encompasses a wide range of electromechanical systems, avionics, data links, and network communication. He is also actively involved in research related to Model-Based Systems Engineering (MBSE), Digital Twin technology, and Digital Transformation strategies, aiming to enhance the performance and reliability of complex systems.

Professional Journey

Throughout his professional journey, Zhanjun Huang has been actively engaged in both academic research and industry collaborations. He has undertaken or participated in numerous projects funded by prestigious organizations such as the National Natural Science Foundation of China, Beijing Special Machinery, and AVIC Xifei. His expertise and contributions have been recognized through appointments to the Shaanxi Provincial Talent Plan and receipt of awards such as the Excellent Doctoral Dissertation and Huawei Scholarship.

Honors & Awards

Zhanjun Huang’s dedication to research excellence has been acknowledged through various honors and awards. He has been recognized for his outstanding doctoral dissertation and has received scholarships from industry leaders like Huawei. Additionally, his research contributions have been rewarded with selection for the Shaanxi Provincial Talent Plan and other prestigious accolades, highlighting his significant impact in the field of electrical engineering.

Publications Top Noted & Contributions

Zhanjun Huang has authored and co-authored more than 30 papers and patents, many of which have been published in high-impact journals and presented at leading conferences. His research contributions span a wide range of topics, including fault diagnosis algorithms for microgrid inverters, adaptive control for MIMO systems, and distributed fault detection for nonlinear multi-agent systems. These publications reflect his innovative approaches and expertise in applying advanced techniques to solve complex engineering problems.

Title: Multi-UAV task allocation based on GCN-inspired binary stochastic L-BFGS
Authors: Zhang, A.; Zhang, B.; Bi, W.; Huang, Z.; Yang, M.
Journal: Computer Communications
Year: 2023
Volume: 212
Pages: 198–211

Title: Asymmetric Calibration and Characterization for Diff-Port Magnetic Field Probing System
Authors: Shao, W.; Li, H.; Huang, Z.; [and others]
Journal: IEEE Sensors Journal
Year: 2023
Volume: 23
Issue: 10
Pages: 10559–10567
Citations: 3

Title: Complementary Virtual Mirror Fault Diagnosis Method for Microgrid Inverter
Authors: Huang, Z.; Wang, Z.; Song, C.
Journal: IEEE Transactions on Industrial Informatics
Year: 2021
Volume: 17
Issue: 11
Pages: 7279–7290
Citations: 5

Title: Deep Echo State Network with Multiple Adaptive Reservoirs for Time Series Prediction
Authors: Wang, Z.; Yao, X.; Huang, Z.; Liu, L.
Journal: IEEE Transactions on Cognitive and Developmental Systems
Year: 2021
Volume: 13
Issue: 3
Pages: 693–704
Citations: 21

Title: A stability criterion for discrete-time fractional-order echo state network and its application
Authors: Yao, X.; Wang, Z.; Huang, Z.
Journal: Soft Computing
Year: 2021
Volume: 25
Issue: 6
Pages: 4823–4831

Research Timeline

Zhanjun Huang’s research trajectory has evolved over the years, with significant contributions made across various stages of his academic and professional journey. From his early work in communication engineering during his bachelor’s studies to his current focus on machine learning and fault diagnosis for electromechanical systems, each phase of his research timeline represents a progression towards deeper expertise and broader impact in the field of electrical engineering.

 

Karim ADIB at Université Hassan II, Morocco