Professor, Kyungpook National University, South Korea

Dr. Chang-Hyun Sohn is a distinguished Professor of Mechanical Engineering at Kyungpook National University (KNU), South Korea. 🎓 With expertise in Computational Fluid Dynamics (CFD), Flow-Induced Vibration, and Particle Image Velocimetry (PIV), he has made significant contributions to thermal-fluid sciences. 🌊 He has served as a Visiting Professor at the University of Cambridge and the University of Tennessee and previously worked at the Agency for Defense Development (ADD), contributing to small jet engine development. ✈️ His extensive research output includes 134 journal papers, 64 conference proceedings, 37 books & reports, and 5 patents. 📚 Recognized with prestigious awards, he has held leadership roles in KSME, KASE, and KSCFE. 🔬 His influence spans academia, industry, and engineering societies, making him a pioneer in fluid dynamics research. 🌍

Profile

scholar

Education 🎓

Ph.D. in Mechanical Engineering, KAIST, South Korea (1991) 🏆 Focused on thermal-fluid flow and CFD modeling, advancing numerical simulations in fluid dynamics. 💡M.E. in Mechanical Engineering, KAIST, South Korea (1985) 📊 Specialized in computational modeling and flow analysis, contributing to advanced engineering applications. 🚀B.E. in Mechanical Engineering, Kyungpook National University, South Korea (1983) 🔧 Developed a strong foundation in mechanical systems, thermodynamics, and aerodynamics, shaping future research in flow dynamics. 🌪️

Professional Experience 🏢

Professor, Kyungpook National University (1994 – Present) 👨‍🏫 Leading fluid dynamics research and mentoring future engineers. 🎯Team Manager, Agency for Defense Development (ADD) (1991 – 1994) 🛩️ Spearheaded small jet engine development and military propulsion technology. 💨Visiting Professor, University of Cambridge (1996 – 1997) 🇬🇧 Collaborated on aerodynamic research in turbulence and flow modeling. 📈Visiting Professor, University of Tennessee (2005 – 2006) 🇺🇸 Advanced CFD applications in thermal-fluid sciences. 🔥Vice Dean, College of Engineering, KNU (2007 – 2008) 📌 Strengthened academic programs in mechanical and automotive engineering. 🏗️Director, Industrial-University Consortium Center (2007 – 2008) 🔄 Enhanced industry-academic collaboration for applied mechanical research. 🏭

Awards & Honors 🏆

Outstanding Paper Award, Korean Society for Computational Fluid Engineering (2010) 📜 Recognized for excellence in CFD-based thermal-fluid research. 🔥Best Paper Award, Korean Society of Mechanical Engineers (2010) ✨ Acknowledged for groundbreaking contributions to mechanical engineering innovations. 🚗Advisor of Winning Team, National Fluid Engineering Competition (2010) 🏅 Mentored students in a national-level fluid mechanics challenge. 🎯Outstanding Portfolio Instructor, KNU (2010) 👏 Honored for exceptional teaching in mechanical and aerospace engineering. 📖Invited Speaker, IBCAST (2016) & FMFP (2017) 🎤 Shared insights on fluid mechanics, CFD, and turbulence modeling in global conferences. 🌎

Research Focus 🔬

Computational Fluid Dynamics (CFD) 🖥️ Developing high-precision simulations for thermal-fluid flows, aerodynamics, and turbulence modeling. 🌪️Particle Image Velocimetry (PIV) Measurement 📸 Enhancing fluid flow visualization techniques for experimental validation of CFD models. 💡Flow-Induced Vibration (FIV) 🔊 Investigating structural interactions with fluid flow for safer, more efficient engineering systems. 🏗️Aerospace & Automotive Applications 🚀 Designing advanced propulsion systems, aerodynamic vehicles, and jet engines. ✈️Thermal-Fluid System Optimization ⚡ Improving cooling systems, energy efficiency, and industrial heat transfer mechanisms. 🔥

Publications

Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps

Enhanced Power Extraction via Hybrid Pitching Motion in an Oscillating Wing Energy Harvester with Leading Flap

Wetting performance analysis of porosity distribution in NMC111 layered electrodes in lithium-ion batteries using the Lattice Boltzmann Method

Reduction of delivery pressure fluctuations in a gerotor pump

Numerically Investigating the Energy-Harvesting Performance of an Oscillating Flat Plate with Leading and Trailing Flaps

Conclusion

Dr. Chang-Hyun Sohn is an outstanding candidate for the Best Researcher Award, given his exceptional contributions to CFD, leadership in mechanical engineering, and innovation in applied research. His strong publication record, international impact, and industry collaborations make him highly suitable for this prestigious recognition. Further engagement in cutting-edge fields like AI-enhanced CFD and sustainability applications could further strengthen his position as a global leader in the field.

Xiaolin Yang | CImage analysis | Best Researcher Award

Posted on 07/11/202407/11/2024 by ScienceFather

Dr. Xiaolin Yang | Image analysis | Best Researcher Award

Dr at China university of mining and technology, China

Xiaolin Yang is a skilled Business Analyst and Postdoctoral Researcher at Henan Investment Group. With a solid background in mineral process engineering, his expertise spans industry research, project management, and production optimization. Xiaolin holds a Bachelor’s and a Ph.D. in Mineral Process Engineering from the China University of Mining and Technology, specializing in mineral processing, machine learning, and image analysis. His dedication to academic excellence and practical application makes him a valuable asset in the mineral industry.

Publication Profile

scopus

Education🎓

.Bachelor of Mineral Process Engineering | China University of Mining and Technology, 2015–2019 | Focus: Mineral separation methods and equipment. Doctor of Mineral Process Engineering | China University of Mining and Technology, 2019–2024 | Research areas: Mineral processing, machine learning, image analysis. Xiaolin’s academic journey emphasized innovation in mineral separation, blending engineering with data science to improve mineral processing efficiency and accuracy.

Experience💼

Postdoctoral Researcher | Henan Investment Group, 2024–Present | Xiaolin’s role involves comprehensive industry research, preparing assessment reports, and offering investment insights and recommendations. His project management tasks focus on feasibility assessments and evaluating the effectiveness of production processes, aiming to optimize industrial production and implement innovative solutions in mineral processing.

Awards and Honors🏆

Published Author | Xiaolin has authored notable academic articles, such as in Journal of Materials Research and Technology (2021), Energy (2022), and Expert Systems with Applications (2024). His work, recognized for its significance in mineral processing and machine learning, highlights his expertise in utilizing advanced algorithms for practical industry challenges.

Research Focus🔍

Research Interests | Xiaolin’s research delves into mineral processing, machine learning applications, and image analysis. His studies, including deep learning for ash determination in coal flotation, explore novel algorithms to enhance mineral processing accuracy, bridging engineering and artificial intelligence for industrial optimization.

Publication Top Notes

Multi-scale neural network for accurate determination of ash content in coal flotation concentrate

Authors: Yang, X., Zhang, K., Thé, J., Tan, Z., Yu, H.

Journal: Expert Systems with Applications, 2025, 262, 125614

Description: This paper presents a multi-scale neural network model that accurately determines ash content in coal flotation concentrate using froth images, leveraging deep learning to enhance mineral processing efficiency.

STATNet: One-stage coal-gangue detector for real industrial applications

Authors: Zhang, K., Wang, T., Yang, X., Tan, Z., Yu, H.

Journal: Energy and AI, 2024, 17, 100388

Description: The STATNet model is introduced as a coal-gangue detection system using a one-stage deep learning algorithm, tailored for industrial application with a focus on real-time processing.

COFNet: Predicting surface area of covalent-organic frameworks

Authors: Wang, T., Yang, X., Zhang, K., Tan, Z., Yu, H.

Journal: Chemical Physics Letters, 2024, 847, 141383

Description: COFNet utilizes deep learning to predict the specific surface area of covalent-organic frameworks, combining structural image analysis with statistical features for accurate predictions.

Enhancing coal-gangue detection with GAN-based data augmentation

Authors: Zhang, K., Yang, X., Xu, L., Tan, Z., Yu, H.

Journal: Energy, 2024, 287, 129654

Description: This study employs GAN-based data augmentation and a dual attention mechanism to improve coal-gangue object detection, aiming to refine accuracy in complex industrial environments.

Multi-step carbon price forecasting using hybrid deep learning models

Authors: Zhang, K., Yang, X., Wang, T., Tan, Z., Yu, H.

Journal: Journal of Cleaner Production, 2023, 405, 136959

Description: A hybrid deep learning model for multi-step forecasting of carbon prices is proposed, integrating multivariate decomposition to enhance predictive reliability.

PM2.5 and PM10 concentration forecasting with spatial–temporal attention networks

Authors: Zhang, K., Yang, X., Cao, H., Tan, Z., Yu, H.

Journal: Environment International, 2023, 171, 107691

Description: This article introduces a spatial–temporal attention mechanism for PM2.5 and PM10 forecasting, using convolutional neural networks with residual learning to tackle air quality predictions.

Ash determination of coal flotation concentrate using hybrid deep learning model

Authors: Yang, X., Zhang, K., Ni, C., Tan, Z., Yu, H.

Journal: Energy, 2022, 260, 125027

Description: This work features a hybrid model that utilizes deep learning and attention mechanisms to determine ash content in coal flotation, contributing to process optimization.

Influence of cation valency on flotation of chalcopyrite and pyrite

Authors: Yang, X., Bu, X., Xie, G., Chehreh Chelgani, S.

Journal: Journal of Materials Research and Technology, 2021, 11, pp. 1112–1122

Description: This comparative study explores how different cation valencies affect chalcopyrite and pyrite flotation, contributing to better separation techniques in mineral processing.

Conclusion

Xiaolin Yang is a compelling candidate for the Best Researcher Award. His strengths in applying AI and image analysis to mineral processing reflect a unique skill set that is highly relevant for advancing research and industry practices. With further interdisciplinary work and expanded research visibility, Xiaolin is well-positioned to make impactful contributions and earn recognition 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.

Michele Paulin | Concordia University | Best Researcher Award

Posted on 29/06/202429/06/2024 by ScienceFather

Dr. Michele Paulin | Concordia University | Best Researcher Award

Dr. Concordia University, Canada

MICHÈLE PAULIN, former RBC Professorship holder in Strategic Relationship Marketing (2010-2020), holds a law degree (L.L.B.) from Université de Sherbrooke, an Executive MBA from John Molson School of Business, and a Ph.D. from UQÀM. She has received numerous accolades, including an award from the Journal of Service Management (2014) and the MCB University Press Award for Excellence (2001). Dr. Paulin has over 120 publications and presentations across prestigious journals and conferences. Her research focuses on immersive experiential learning, humanistic and sustainable management practices, service design and management, and self-determination motivation practices. She also serves as an expert and reviewer in various capacities.

Professional Profiles:

Scopus

Google scholar

Meet Dr. Michèle Paulin: A Leader in Strategic Relationship Marketing 🌟

Dr. Michèle Paulin, who held the RBC Professorship in Strategic Relationship Marketing from 2010 to 2020, boasts an impressive academic and professional background. She holds a law degree (L.L.B.) from Université de Sherbrooke, an MBA from the John Molson School of Business, and a Ph.D. from UQÀM. Her expertise and contributions have been widely recognized, including receiving a highly recommended award from the Journal of Service Management in 2014 at Service Frontiers and the Award for Excellence from MCB University Press—International Journal of Bank Marketing in 2001. 🏆

Funded Projects and Academic Contributions 📚

Dr. Paulin’s research has been extensively supported by prestigious funding bodies such as SSHRC, FQRSC, and internal grants from the Luc Beauregard Centre, ARRE, CASA Grants, and FRDP. Her prolific academic output includes over 120 publications and scientific presentations in renowned journals and conferences, including the Journal of Consumer Behaviour, Humanistic Management Journal, Universal Journal of Management, Journal of Humanistic Psychology, Motivation Science, and many more. 📰

Focus on Experiential Learning and Sustainable Practices 🌱

Dr. Paulin’s projects are characterized by their focus on immersive experiential learning, humanistic and sustainable management practices, service design, and self-determination motivation practices. Her innovative approach has significantly influenced the fields of service design and management. 🚀

A Respected Expert and Reviewer 🧐

In addition to her research and teaching, Dr. Paulin serves as an expert and reviewer for various academic and professional organizations. Her broad expertise and commitment to excellence have made her a respected figure in the academic community. 🌍

✍️Publications Top Note :

Is it fashionable to swap clothes? The moderating role of culture
Armouch, F., Paulin, M., Laroche, M.
Journal of Consumer Behaviour, 2024

🌟 This article explores the cultural influences on the popularity of clothing swaps, providing insights into sustainable fashion practices and consumer behavior.

Integrated Self-Determined Motivation and Charitable Causes: The Link to Eudaimonia in Humanistic Management
Ferguson, R.J., Schattke, K., Paulin, M., Dong, W.
Humanistic Management Journal, 2024

🌟 Investigating the relationship between self-determined motivation and charitable engagement, this paper delves into how these factors contribute to human well-being and eudaimonia.

Hofstede’s individual-level indulgence dimension: Scale development and validation
Heydari, A., Laroche, M., Paulin, M., Richard, M.-O.
Journal of Retailing and Consumer Services, 2021, 62, 102640

🌟 This research validates a scale for Hofstede’s indulgence dimension, providing a tool for better understanding consumer behavior across different cultures.

Persuasions by Corporate and Activist NGO Strategic Website Communications: Impacts on Perceptions of Sustainability Messages and Greenwashing
Ferguson, R.J., Schattke, K., Paulin, M.
Humanistic Management Journal, 2021, 6(1), pp. 117–131

🌟 Examining how corporate and activist communications shape perceptions of sustainability, this article sheds light on the effectiveness of green marketing strategies.

Working Together in Montréal to Improve Veterans’ Well-Being: A Canadian Perspective
Fewster, B., Brais, H., Gregory, S., Paulin, M.
Journal of Humanistic Psychology, 2019, pp. 1–21

🌟 This study focuses on collaborative efforts to enhance the well-being of veterans in Montréal, highlighting the importance of community and support systems.

The social context for value co-creations in an entrepreneurial network: Influence of interpersonal attraction, relational norms and partner trustworthiness
Ferguson, R., Schattke, K., Paulin, M.
International Journal of Entrepreneurial Behaviour and Research, 2016, 22(2), pp. 199–214

🌟 Investigating the dynamics of value co-creation in entrepreneurial networks, this paper explores the roles of interpersonal attraction, relational norms, and trust.

Gaining Millennial women’s support for a fashion show: Influence of fashion experiences, gender identity and cause-related Facebook appeals
Salman, A., Ferguson, R.J., Paulin, M., Schattke, K.
Journal of Global Fashion Marketing, 2016, 7(2), pp. 132–146

🌟 This article examines how fashion experiences and gender identity influence Millennial women’s support for cause-related fashion shows.

Development of market Mavenism traits: Antecedents and moderating effects of culture, gender, and personal beliefs
Kiani, I., Laroche, M., Paulin, M.
Journal of Business Research, 2016, 69(3), pp. 1120–1129

🌟 Analyzing the development of market mavenism traits, this research looks at the impacts of culture, gender, and personal beliefs on consumer behavior.

Self-determination theory, social media and charitable causes: An in-depth analysis of autonomous motivation
Ferguson, R., Gutberg, J., Schattke, K., Paulin, M., Jost, N.
European Journal of Social Psychology, 2015, 45(3), pp. 298–307

🌟 This study explores how self-determination theory applies to social media and charitable causes, emphasizing the role of autonomous motivation in prosocial behavior.

Organizational Culture in a Professional Business to Business Service Context: Implications for Business Performance and Long-Term Relationships in Mexican Commercial Banking
Paulin, M., Perrien, J., Ferguson, R.
Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 2015, pp. 478

Mr. Basant Lal | Materials Characterization | Young Scientist Award

Posted on 15/06/202415/06/2024 by ScienceFather

Mr. Basant Lal | Materials Characterization
| Young Scientist Award

Mr. Basant Lal , NIT SRINAGAR, India

Mr. Basant Lal 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

Professional Objective 🎯

Highly motivated, adaptable, and goal-oriented researcher seeking a position in the fields of Tribology (Nano-Micro-Macro), Surface Engineering, Bio-Materials, Metal Matrix Nano-composites, Interface Analysis, Spark Plasma Sintering Technology, Mechanical Behavior of Materials, and the Characterization and Mechanical Property Evaluation of Advanced Materials.

Education Qualifications 📚

Ph.D. in Mechanical Engineering
Dec 2019 – April 2024, Srinagar, India
National Institute of Technology, Srinagar
Thesis: “Microstructural Evaluation and Tribological Characteristic of Ti-6Al4V/TiC Composite Used for Hip Implant”
Supervisors: Dr. Abhijit Dey & Prof. M.F. WaniM.Tech in Mechanical Engineering
2014 – 2016, Srinagar, India
National Institute of Technology, Srinagar
Thesis: “Tribological Behaviors of Titanium and Its Alloys (Ti-6Al-4V)”
Supervisors: Prof. M.F. Wani & Prof. Satish Vasu Kailas, Indian Institute of Science, BangaloreB.Tech in Mechanical Engineering
2008 – 2012, Haryana, India
MDU University, Haryana
Project: “Anti-Lock Braking System”

Industrial Experience 💼

Indian Institute of Science (IISc), Bangalore
Research Project: Tribological Behaviors of Titanium and Its Alloys (Ti-6Al-4V)Talbros Automotive Components Ltd.
Position: Production Engineer
Role: Managing operations involving production plans & schedules and developmental workYKK Company
Summer Training: Slider DepartmentJai Bharat Maruti Ltd.
Summer Training: Wear and friction behavior of steel against aluminum pin under lubricated conditionsLotus Auto Engineering Ltd.
Summer Training: Machining Department

Materials Characterization Techniques 🔬

Optical Microscopy (OM)3D Optical ProfilometerField Emission Scanning Electron Microscopy (FE-SEM) with Energy Dispersive X-ray Spectroscopy (EDS)Nano-Indentation TechniqueRaman SpectroscopyWXRFX-ray Diffraction (XRD)Mechanical and Tribological Characterization Techniques

Strengths and Hobbies 🌟

Positive Attitude and Good Learning Skills
Hobbies: Writing Short StoriesGood Leadership Quality
Hobbies: Painting and SketchingAbility to Work in a Team
Hobbies: SingingInquisitiveness
Hobbies: Playing Puzzle Games

Membership of Professional Bodies/Organizations 👥

Life Member, Tribology Society of India (TSI)Professional Member, Institute of Scholars (InSc)Member, International Association of Engineers (IAENG)

Workshops and Short-Term Courses 🎓

Advanced Materials for Structural Applications
IIT Indore (29th Sep – 4th Oct 2020)Advanced Welding Technologies and Failure Analysis
IIT Indore (19th – 24th Sept 2020)Additive Manufacturing
NIT Srinagar (31st Aug – 9th Sep 2020)Recent Advances in Nano-Science and Technology (RANN-2020)
NIT Srinagar (24th – 28th Aug 2020)Recent Advances in Tribology and Surface Engineering SeriesSeries 1 of 4: Introduction to Tribology and Surface Engineering, Saintgits College of Engineering, Kottayam (23rd – 28th Nov 2020)Series 4 of 4: Surface Characterization and Treatment in Tribology, Saintgits College of Engineering, Kottayam (17th – 22nd Aug 2020)Series 2 of 4: Tribology of Machine Components and Applied Tribology, Saintgits College of Engineering, Kottayam (14th – 19th Sep 2020)

National/International Conferences Organized 🏆

Organizer Committee, “Tribo-India 2023”
Dept. of Mechanical Engineering, National Institute of Technology, Srinagar, IndiaOrganizer Committee, “1st Indo-Russian International Symposium 2022”
Dept. of Mechanical Engineering, National Institute of Technology, Srinagar, India

📖 Publications Top Note :

1. Effect of TiC Nano-Particle on Microstructure Evolution and Tribological Behaviour of Ti6Al4V Composites Fabricated via Spark Plasma Sintering

Authors: Lal, B., Dey, A.
Journal: Tribology International, 2024, 197, 109775

2. Fretting Wear Characteristics of Ti6Al4V/TiC Nano Composites Using Response Surface Method

Authors: Lal, B., Dey, A.
Journal: Tribology International, 2024, 193, 109412

3. Influence of TiCp Ceramic Reinforcement on Ti6Al4V Alloy Matrix via Spark Plasma Sintering Technique

Authors: Lal, B., Dey, A., Wani, M.F.
Journal: Advances in Materials and Processing Technologies, 2024

4. Effect of Frictional Heating on Mechanically Mixed Layers During Dry Sliding Contact of Ti-6Al-4V Alloys at High Temperature in Vacuum Condition

Authors: Lal, B., Dey, A., Wani, M.F.
Journal: Surface Review and Letters, 2022, 29(10), 2250127

5. Advances in Gravimetric Electronic Nose for Biomarkers Detection

Authors: Das, A., Lal, B., Manjunatha, R.
Journal: Series on Biomechanics, 2022, 36(2), pp. 128–140

6. Prediction of Surface Roughness During Dry Sliding Wear: Characteristics of Ti-6Al-4V Alloys

Authors: Lal, B., Dey, A., Wani, M.F.
Journal: International Journal of Surface Engineering and Interdisciplinary Materials Science, 2022, 10(1)

7. Dry Sliding Wear Behaviour of Ti–6Al–4V Pin Against SS316L Disc in Vacuum Condition at High Temperature

Authors: Kumar, D., Lal, B., Wani, M.F., Philip, J.T., Kuriachen, B.
Journal: Tribology – Materials, Surfaces and Interfaces, 2019, 13(3), pp. 182–189

Prof. Ripeng Jiang | simulation | Best Researcher Award

Posted on 07/06/202407/06/2024 by ScienceFather

Prof. Ripeng Jiang | simulation | Best Researcher Award

Prof. Ripeng Jiang, Cental South University, china

Prof. Ripeng Jiang 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

Personal Details👨‍🎓

Full Name: Ripeng Jiang
♂️ Gender: Male
🎓 Designation: Associate Professor
🏢 Department: Light Alloy Research Institute
🏛️ Institution/Organization: Central South University
🎓 Qualification: Doctor of Engineering
🔬 Area of Specialization: Casting Processes and Equipment
🔧 Sub Division: Mechanical Engineering
📅 DOB: 1983
📅 DOJ: 2015-11-23
🌟 Total Experience:📱 Mobile Number: +86 15173149455

📖 Publications Top Note :

Article: Numerical Simulation and Casting Experiments on Particle Dispersion in 2219 Al Alloy by Introducing Al–5Ti–1B and Ultrasonic Treatment

Authors: Hu, R., Jiang, R., Li, R., Li, X., Zhou, H.

Journal: International Journal of Metalcasting, 2024, 18(2), pp. 1710–1722

Microstructural evolution and hydrogen content and their effect on properties of TiB2/Al-Li-X composites with different Li contents
Authors: Xie, Z., Jiang, R., Li, X., Li, R., Zhang, L.
Journal: Journal of Alloys and Compounds, 2024, 976, 173038
Numerical Simulation of Physical Field During Different Ultrasonic-Power-Assisted Casting of 7085 Aluminum Alloy
Authors: Li, A., Jiang, R., Hai, X., Fu, A., Li, X.
Journal: Advanced Engineering Materials, 2024
Effect of ultrasonic power on degassing and microstructure of large-scale 7085 aluminum alloy ingots
Authors: Jiang, R., Li, A., Hai, X., Zhou, H., Xie, Z.
Journal: Materials Today Communications, 2023, 37, 107279
Correction: Effect of Low-Intensity Ultrasound on the Temperature Field and Microstructure of 2219 Aluminum Alloy
Authors: Yang, P.-B.O., Jiang, R.-P., Li, A.-Q., Li, X.-Q.
Journal: International Journal of Metalcasting, 2023
Effect of Low-Intensity Ultrasound on the Temperature Field and Microstructure of 2219 Aluminum Alloy
Authors: Yang, P.-B.O., Jiang, R.-P., Li, A.-Q., Li, X.-Q.
Journal: International Journal of Metalcasting, 2023
The microstructure and mechanical properties of 2219 alloy during ultrasonic treatment
Authors: Li, A.-Q., Jiang, R.-P., Li, R.-Q., Zhang, L.-H.
Journal: Materials Science and Technology (United Kingdom), 2023, 39(15), pp. 2135–2146
Microstructure and corrosion resistance of commercial purity aluminum sheet manufactured by continuous casting direct rolling after ultrasonic melt pre-treatment
Authors: Jiang, R., Zhao, W., Zhang, L., Li, X., Guan, S.
Journal: Journal of Materials Research and Technology, 2023, 22, pp. 1522–1532
Microstructural evolution and mechanical properties of TiB2/2195 composites fabricated by ultrasonic-assisted in-situ casting
Authors: Xie, Z., Jiang, R., Li, X., Li, A., He, Z.
Journal: Ultrasonics Sonochemistry, 2022, 90, 106203
Microstructure evolution and enhanced mechanical properties of additive manufacturing Al-Zn-Mg-Li alloy via forging and aging treatment
Authors: Zhang, L., Cao, W., Zhang, Y., Jiang, R., Li, X.
Journal: Journal of Materials Research and Technology, 2022, 18, pp. 4965–4979

Dr. Mariyam Sattar | Solid Mechanics | Best Researcher Award

Posted on 23/05/202423/05/2024 by ScienceFather

Dr. Mariyam Sattar | Solid Mechanics | Best Researcher Award

Dr. Mariyam Sattar, nstitute of Space Technology, Pakistan

Dr. Mariyam Sattar 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

Google scholar

Education🎓

Doctorate of Engineering: Solid MechanicsBeihang University of Aeronautics and Astronautics, Beijing, China (2014-2018)🎓 Master of Science: Mechanical EngineeringUniversity of Engineering and Technology, Taxila, Pakistan (2011-2014)🎓 Bachelor of Science: Mechanical EngineeringUniversity of Engineering and Technology, Taxila, Pakistan (2005-2009)🏫 Higher Secondary School Certificate: Pre-EngineeringPAEC Model College, Nilore, Islamabad (2002-2005)🏫 Secondary School Certificate: SciencePAEC Model College, Nilore, Islamabad (2000-2002)

Achievements 🏆

Best Performer of the Year Award at IST (2012)🏆 Best Performer of the Year Award at IST (2013)🎖️ Excellent Study Award from Beihang University of Aeronautics and Astronautics (BUAA) in the academic year 2017–2018📚 Fully Funded PhD Research Scholarship for study at Beihang University awarded by the Institute of Space Technology, Islamabad, Pakistan

Membership

🛡️ Pakistan Engineering Council (PEC)

Work Experience

Lab Engineer (Jan 2010 – May 2010)

Swedish College of Engineering and Technology (SCET), Wah Cantt., Pakistan📝 Conducted labs for Engineering Drawing & Graphics and Thermodynamics🏫 Led the admission committee

Demonstrator & Departmental Quality Assurance Coordinator (May 2010 – Jul 2018)

Institute of Space Technology (IST), Islamabad, Pakistan🧪 Designed lab experiments, equipment, and manuals📊 Served as Departmental Quality Assurance Coordinator and Academic Coordinator👨‍🏫 Assisted in teaching BS, MS, and PhD courses✅ Contributed to IST achieving ISO certification

Assistant Professor (Aug 2018 – Present) 👩‍🏫

Institute of Space Technology (IST), Islamabad, Pakistan

Engaged in teaching, administrative, and research work for undergraduate and postgraduate programs in Mechanical, Electrical, and Aerospace Engineering📅 Served in multiple coordinating roles including Graduate Program Coordinator, Internship Coordinator, FYP Coordinator, R&D Coordinator, and moreSelected ProjectsPhD ThesisBeihang University of Aeronautics and Astronautics (BUAA), China (2014 – 2018)🌌 Micro Vibrations Behavior Analysis of Solar Array Drive AssemblyMS ThesisDepartment of Mechanical & Aeronautical Engineering, UET, Taxila, Pakistan (2011 – 2014)🛠️ Finite Element Damage Modelling of Composite Bolted Joint Structures under Shock LoadBS ProjectDepartment of Mechanical & Aeronautical Engineering, UET, Taxila, Pakistan (2005 – 2009)☀️ Design, Fabrication, and Testing of Solar Parabolic Cooker

Teaching Courses 👨‍🔧

Undergraduate

📐 Engineering Drawing and Graphics🌡️ Applied Thermodynamics⚖️ Engineering Mechanics (Statics and Dynamics)🔧 Mechanics of Machines🖥️ Intro to FEM🏭 Manufacturing Processes🛠️ Mechanics of Materials🏗️ Machine Design💻 Computational Mechanics👨‍🔧 Professional Practices

Projects Supervised 📡

Undergraduate🛢️ Design and analysis of composite pressure vessel🚮 Design, fabrication, and testing of water trash collector system☀️ Design and analysis of cooling system for hybrid solar panels📡 Design and deployment analysis of deployable mechanism for space antenna🛠️ Design and analysis of stiffened panel for application in vacuum chamber using finite element method🔊 Effect of chevron nozzle in aircraft engines for noise reduction📡 Design and analysis of large-scale hexagonal modular mesh deployable antenna🚀 Design and optimization of can-type combustor for a ramjet engine🔧 Modelling, analysis, and structural optimization of Batoor’s engine mount truss

Post Graduate🧪

Numerical and experimental investigation of nanoindentation properties of aluminium alloy by adding silver at various proportions

📖 M. Sattar’s Research Publications Top Note :

Computational Analysis of Multi-Fuel Micro-Gas Turbine Annular Combustion Chamber

Authors: AA Sher, N Ahmad, M Sattar, P Phelan, A Lin

Journal: Journal of Thermal Analysis and Calorimetry

Year: 2024

Details: This paper presents a computational analysis focused on the performance and efficiency of an annular combustion chamber designed for multi-fuel micro-gas turbines.

Characterization and Toxicology of Microplastics in Soils, Water and Air

Authors: T Mehmood, L Peng, M Ejaz, M Shaz, MA Hassan, M Sattar, S Bibi

Book: Microplastic Occurrence, Fate, Impact, and Remediation

Year: 2023

Pages: 23-63

Details: The study explores the presence and toxicological effects of microplastics across various environmental mediums including soil, water, and air.

Thermal Management of Microelectronic Devices Using Nanofluid with Metal Foam Heat Sink

Authors: MT Tahir, S Anwar, N Ahmad, M Sattar, UW Qazi, U Ghafoor, MR Bhutta

Journal: Micromachines

Volume: 14, Issue 7, Article 1475

Year: 2023

Details: This research investigates the efficacy of nanofluid and metal foam heat sinks in improving the thermal management of microelectronic devices.

Solar Array Drive Assembly Disturbance Modeling, Jitter Analysis and Validation Tests for Precision Space-Based Operations

Authors: M Sattar, M Alzaid, NUR Junejo, RA Malik, M Tanveer, M Latif

Journal: Journal of Vibration Engineering & Technologies

Volume: 11, Issue 5, Pages 2069-2080

Year: 2023

Details: The paper focuses on the disturbance modeling and jitter analysis for solar array drive assemblies, aiming to enhance the precision of space-based operations.

Effect of Various Dusts and Humidity on the Performance of Renewable Energy Modules

Authors: AA Sher, N Ahmad, M Sattar, U Ghafoor, UH Shah

Journal: Energies

Volume: 16, Issue 13, Article 4857

Year: 2023

Details: This study evaluates how different types of dust and varying humidity levels affect the efficiency and performance of renewable energy modules.

A Survey on Physical Layer Techniques and Challenges in Underwater Communication Systems

Authors: NUR Junejo, M Sattar, S Adnan, H Sun, ABM Adam, A Hassan, H Esmaiel

Journal: Journal of Marine Science and Engineering

Volume: 11, Issue 4, Article 885

Year: 2023

Details: This paper surveys the physical layer techniques and identifies key challenges in underwater communication systems, providing insights into current solutions and future research directions.

Cell Alternation Algorithm for Simulating Bubble Growth in Boiling Flows through Volume of Fluid (VOF) Method in Fluent

Authors: ZA Khan, N Ahmad, M Sattar, MA Haq, I Khan, AH Ganie

Journal: Alexandria Engineering Journal

Volume: 61, Issue 12, Pages 13051-13066

Year: 2022

Details: The paper presents a cell alternation algorithm to simulate bubble growth in boiling flows using the VOF method in Fluent, contributing to the understanding of phase change processes.

An Innovative Thermal Protective Clothing System for Firefighters

Authors: G Santos, F Marques, J Ribeiro, A Fonseca, JM Miranda, J Campos, …

Conference: 14th Joint International Conference Clotech2022

Year: 2022

Details: This study introduces a novel thermal protective clothing system designed to enhance the safety and comfort of firefighters during extreme thermal conditions.

Performance Analysis and Optimization of a Cooling System for Hybrid Solar Panels Based on Climatic Conditions of Islamabad, Pakistan

Authors: M Sattar, A Rehman, N Ahmad, AS Mohammad, AA Al Ahmadi, N Ullah

Journal: Energies

Volume: 15, Issue 17, Article 6278

Year: 2022

Details: The research focuses on optimizing a cooling system for hybrid solar panels tailored to the climatic conditions of Islamabad, improving their efficiency and lifespan.

Sea Experimental for Compressive Sensing-Based Sparse Channel Estimation of Underwater Acoustic TDS-OFDM System

Authors: NUR Junejo, H Esmaiel, M Sattar, H Sun, MA Khalil, I Ullah

Journal: Wireless Communications and Mobile Computing

Year: 2022

Details: This paper describes experimental results on sparse channel estimation for underwater acoustic communication systems using compressive sensing and TDS-OFDM techniques.

Inter-Organizational Cloud Computing and Robust Scalability in Current Scenario and Beyond

Authors: A Khan, A Junejo, M Naeem, M Sattar, AH Malik

Journal: Automatic Control and Computer Sciences

Volume: 56, Issue 1, Pages 26-37

Year: 2022

Details: The study examines the scalability and robustness of inter-organizational cloud computing, considering current and future technological scenarios.

Highly Stretchable Durable Electro-Thermal Conductive Yarns Made by Deposition of Carbon Nanotubes

Authors: A Ali, M Sattar, T Riaz, BA Khan, M Awais, J Militky, MT Noman

Journal: The Journal of the Textile Institute

Volume: 113, Issue 1, Pages 80-89

Year: 2022

Details: This research presents the development of highly stretchable and durable electro-thermal conductive yarns through the deposition of carbon nanotubes, with applications in smart textiles.

Generalized Contraction Theorems Approach to Fuzzy Differential Equations in Fuzzy Metric Spaces

Authors: I Shamas, SU Rehman, T Abdeljawad, M Sattar, SU Khan, N Mlaiki

Journal: AIMS Math

Volume: 7, Pages 11243-11275

Year: 2022

Details: The paper proposes generalized contraction theorems for solving fuzzy differential equations in fuzzy metric spaces, contributing to the field of fuzzy mathematics.

Detrital Zircon Provenance of the Cenozoic Sequence, Kotli, Northwestern Himalaya, Pakistan; Implications for India–Asia Collision

Authors: M Awais, M Qasim, JI Tanoli, L Ding, M Sattar, MS Baig, S Pervaiz

Journal: Minerals

Volume: 11, Issue 12, Article 1399

Year: 2021

Details: This geological study investigates the provenance of detrital zircon in the Cenozoic sequence of Kotli, offering insights into the India-Asia collision and its tectonic implications.

Integrated Provenance and Tectonic Implications of the Cretaceous–Palaeocene Clastic Sequence, Changla Gali, Lesser Himalaya, Pakistan

Authors: M Qasim, J Ahmad, L Ding, JI Tanoli, M Sattar, QU Rehman, M Awais, …

Journal: Geological Journal

Volume: 56, Issue 9, Pages 4747-4759

Year: 2021

Details: The study integrates provenance and tectonic analysis of the Cretaceous-Palaeocene clastic sequence in Changla Gali, enhancing the understanding of the region’s geological history.

Single-Step Green Synthesis of Highly Concentrated and Stable Colloidal Dispersion of Core-Shell Silver Nanoparticles and Their Antimicrobial and Ultra-High Catalytic Properties

Authors: A Ali, M Sattar, F Hussain, MHK Tareen, J Militky, MT Noman

Journal: Nanomaterials

Volume: 11, Issue 4, Article 1007

Year: 2021

Details: This research demonstrates a green synthesis method for producing core-shell silver nanoparticles with remarkable antimicrobial and catalytic properties.

Numerical and Experimental Evaluation of the Mechanical Behavior of Kevlar/Glass Fiber Reinforced Epoxy Hybrid Composites

Authors: M Nabeel, MA Nasir, M Sattar, RA Malik, M Alzaid, MS Butt, M Saleem, …

Journal: Journal of Mechanical Science and Technology

Volume: 34, Pages 4613-4619

Year: 2020

Details: The paper evaluates the mechanical behavior of Kevlar/glass fiber reinforced epoxy

Assoc Prof Dr. Oğuzhan Demir | Solid Mechanics Award | Best Researcher Award

Posted on 20/03/202420/03/2024 by ScienceFather

Assoc Prof Dr. Oğuzhan Demir | Solid Mechanics Award | Best Researcher Award

Assoc Prof Dr. Oğuzhan Demir, Bilecik Şeyh Edebali University, Turkey

Assoc Prof Dr. Oğuzhan Demir 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

Orcid

Google scholar

🎓 Education

Bachelor: Mechanical Engineering, Selçuk University, 2009Master: Mechanical and Manufacturing Engineering, Bilecik Şeyh Edebali University, 2012Doctorate: Mechanical Engineering, Sakarya University, 2016

🏢 Affiliation

Department/Division: Mechanical EngineeringUniversity/Institute: Bilecik Şeyh Edebali UniversityCity: BilecikCountry: Turkey

👨‍🏫 Academic Titles

Research Assistant: Mechanical Engineering, Bilecik Şeyh Edebali University, 2010-2016Assistant Professor: Mechanical Engineering, Bilecik Şeyh Edebali University, 2017-2022Associate Professor: Mechanical Engineering, Bilecik Şeyh Edebali University, 2022-Current