Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering πŸš€. With a solid academic background, he earned his B.Sc. in Mechanical Engineering πŸ› οΈ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD πŸŽ“ at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles πŸ“„, books πŸ“š, and research projects πŸ” to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization πŸ’§, fluid mechanics 🌊, and sustainable energy applications ⚑. As a dedicated educator πŸ‘¨β€πŸ« and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🀝, publishing, and mentoring.

Profile

Education πŸŽ“

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering πŸ› οΈ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering πŸš€ from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems πŸ”₯, and energy-efficient solutions πŸ’‘. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems πŸ”§. Through rigorous coursework, experimental research, and publications πŸ“, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠πŸ’ͺ, enabling him to address modern aerospace challenges with innovative thinking πŸš€.

Experience πŸ‘¨β€πŸ«

Dr. Elyas Rostami serves as a faculty member πŸ‘¨β€πŸ« at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering πŸš€. His career spans academic teaching πŸ“–, research leadership πŸ”¬, article peer reviewing 🧐, and supervising research projects πŸ”. He has authored multiple scientific papers πŸ“ and books πŸ“š, advancing the field of propulsion systems, spray technology πŸ’§, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🀝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator πŸŽ“βš™οΈ. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions πŸ…

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction πŸŽ–οΈ. His scholarly contributions earned him recognition through research publications in reputable journals πŸ…, invitations to review articles 🧐, and participation in collaborative research projects 🀝. He has authored a scientific book πŸ“˜ and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion πŸ”₯ and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement πŸ’‘πŸ”¬.

Research Interests πŸ”¬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems πŸš€, spray and atomization processes πŸ’§, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems πŸ”₯, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches πŸ–₯️ to explore new energy solutions and optimize spray behavior under different conditions βš™οΈ. Through research projects πŸ”¬, journal articles πŸ“„, and book authorship πŸ“š, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation πŸ’‘, making significant strides in the development of sustainable and high-performance propulsion technologies πŸŒπŸš€.

PublicationsΒ 

Sushil Kumar Sharma | Chemistry | Best Researcher Award

Dr. Sushil Kumar Sharma | Chemistry | Best Researcher Award

Dr. Sushil Kumar Sharma is an Assistant Professor in the Department of Pure & Applied Chemistry at the University of Kota, India. With over 17 years of teaching and research experience, he specializes in electrochemistry, corrosion protection, nanocomposite materials, and polymer chemistry. He has supervised multiple Ph.D. and M.Sc. students and completed significant research projects funded by UGC and BRNS. Dr. Sharma has published extensively in high-impact journals and holds three patents. His contributions to the field include pioneering studies in metal protection, electrochemical applications, and sustainable material development. He is an active member of several scientific associations and serves as a reviewer for reputed journals. Apart from academics, he is also involved in community service as an NSS Program Officer at the University of Kota. His dedication to research and education has made him a well-recognized scholar in the field of chemistry.

Profile

Education πŸŽ“

Dr. Sushil Kumar Sharma completed his Ph.D. in Electrochemistry from the University of Rajasthan, Jaipur, in 2011. He qualified for the CSIR-JRF in 2005 and the NET/LS exam three consecutive times (2004, 2004, and 2005). His postgraduate studies in Chemistry were also at the University of Rajasthan, Jaipur, where he obtained his M.Sc. degree in 2004. He earned his B.Sc. degree from Maharaja’s College, University of Rajasthan, Jaipur, in 2002. His strong academic background, combined with competitive national-level qualifications, laid the foundation for his extensive research in electrochemistry, corrosion protection, and material sciences. Additionally, he successfully qualified for GATE in 2005, further proving his excellence in chemical sciences.

Experience πŸ‘¨β€πŸ«

Dr. Sharma has 17+ years of teaching and research experience. He has been serving as an Assistant Professor at the University of Kota, Rajasthan, since August 6, 2012. Before this, he worked as an Assistant Professor in the Department of Chemistry at Government Engineering College, Jhalawar, from September 1, 2007, to August 6, 2012. His academic career involves teaching undergraduate and postgraduate chemistry courses, guiding research scholars, and undertaking major research projects. His research interests span corrosion protection, nanocomposites, and polymer chemistry, contributing significantly to material science advancements. In addition to his teaching duties, he plays an active role in university administration and academic committees.

Awards & Recognitions πŸ…

Dr. Sharma has received numerous academic and research accolades. He has three published patents and has qualified for CSIR-UGC NET-JRF (2005) and NET/LS three times. He cleared GATE in 2005, demonstrating his proficiency in chemical sciences. He has completed two major funded research projects, including one from BRNS-BARC Mumbai and another from UGC New Delhi. He actively contributes to professional organizations, holding memberships in the Indian Science Congress Association, the Indian Chemical Society, and the Indian Society for Technical Education. He also serves as a reviewer for esteemed journals like the Journal of Electroanalytical Chemistry and Carbohydrate Chemistry.

Research Interests πŸ”¬

Dr. Sharma’s research primarily focuses on corrosion protection, developing innovative coatings and inhibitors to enhance metal durability. He also works extensively in nanoparticle chemistry, exploring applications of nanocomposites in material science. His studies in polymer chemistry focus on synthesizing eco-friendly and sustainable materials for industrial applications. He has contributed significantly to electrochemical research, particularly in green chemistry applications. His projects include uranium distribution studies in groundwater and the synthesis of bioactive chiral alcohols. His interdisciplinary research integrates chemistry with environmental science, contributing to sustainable solutions for industrial and ecological challenges.

PublicationsΒ 
  • Synthesis of Graphene Oxide and Impact of Its Functionalization in the Wastewater Treatment

    Chemical Engineering & Technology
    2025-03-31 |Β Journal article
    CONTRIBUTORS:Β Sushil Kumar Sharma;Β Shobhana Sharma
  • Disposition of Uranium and Other Heavy Metals in the Groundwater in the Baran District of Rajasthan, India

    Journal of Sustainable Water in the Built Environment
    2025-02 |Β Journal article
    CONTRIBUTORS:Β Ashu Rani;Β Ramet Meena;Β Kiran Parashar;Β Shobhana Sharma;Β Ankit Sharma;Β Nepal Chandra Mondal;Β Sushil Kumar Sharma
  • Anticorrosive action of eco-friendly plant extracts on mild steel in different concentrations of hydrochloric acid

    Corrosion Reviews
    2024 |Β Journal article
  • Encapsulation of Metal/Metal Oxide Nanoparticles as Corrosion Inhibitors

    Encapsulated Corrosion Inhibitors for Eco-Benign Smart Coatings
    2024 |Β Book chapter
  • Evaluation of inhibition performance of methylimidazolium ionic liquids on surface of mild steel in sulfuric acid

    Surface and Coatings Technology
    2024 |Β Journal article

Lichen Shi | Mechanical Engineering | Best Researcher Award

Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) :25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929