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.

Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Posted on 05/11/202405/11/2024 by ScienceFather

Prof. Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Professor at Zhejiang Ocean Univeristy, China

Wei-Zhi Wu, Ph.D., is a distinguished Professor of Mathematics at Zhejiang Ocean University in Zhoushan, China. With a prolific career in applied mathematics, Dr. Wu specializes in granular computing, data mining, and the mathematical foundations of artificial intelligence. He has contributed to over 200 articles in esteemed journals, as well as four key monographs. His expertise has earned him repeated recognition on Elsevier’s Most Cited Chinese Researchers list (2014-2023), as well as among the Top 100,000 Scientists globally, with a remarkable 2% percentile ranking in both career and annual categories. Dr. Wu also holds prominent editorial roles in various international academic journals.

Publication Profile

scholar

Education🎓

B.Sc. in Mathematics – Zhejiang Normal University, Jinhua, China, 1986 M.Sc. in Mathematics – East China Normal University, Shanghai, China, 1992 Ph.D. in Applied Mathematics – Xi’an Jiaotong University, Xi’an, China, 2002

Experience🖊️

Professor of Mathematics – School of Information Engineering, Zhejiang Ocean University, Zhoushan, Chin Extensive Publications – Authored 200+ articles and 4 monographs in mathematics, computing, and AI Editorial Board Membership – Serves on multiple prestigious international journals, contributing to mathematical and AI research dissemination Research Leader – Notable for pioneering efforts in granular computing, data mining, and AI foundations

Awards and Honors🏆

Most Cited Chinese Researchers – Featured in Elsevier’s list (2014-2023) mTop Global Scientist – Ranked in the Top 100,000 Scientists worldwide, with a career-long and single-year ranking in the top 2% Prolific Author – Renowned for influential monographs and extensive publication record Editorial Distinction – Serves as an editorial board member for multiple top-tier international journals

Research Focus🌍

Granular Computing – Explores and applies granular structures in computational systems Data Mining – Develops and advances data mining techniques for complex data analysis Mathematics of AI – Examines foundational mathematical principles underpinning artificial intelligence algorithms Interdisciplinary Applications – Integrates applied mathematics into practical AI and computing solutions

Publication Top Notes

粗糙集理论与方法 (Rough Set Theory and Methods)
Authors: 张文修, 吴伟志, 梁吉业, 李德玉
Publisher: 科学出版社 (Science Press)
Citations: 620*
Year: 2001
Generalized Fuzzy Rough Sets
Authors: W.Z. Wu, J.S. Mi, W.X. Zhang
Journal: Information Sciences, Vol. 151, pp. 263-282
Citations: 769
Year: 2003
Constructive and Axiomatic Approaches of Fuzzy Approximation Operators
Authors: W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 159(3), pp. 233-254
Citations: 554
Year: 2004
Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model
Authors: J.S. Mi, W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 159(3-4), pp. 255-272
Citations: 525
Year: 2004
Granular Computing and Knowledge Reduction in Formal Contexts
Authors: W.Z. Wu, Y. Leung, J.S. Mi
Journal: IEEE Transactions on Knowledge and Data Engineering, Vol. 21(10), pp. 1461-1474
Citations: 432
Year: 2009
Knowledge Acquisition in Incomplete Information Systems: A Rough Set Approach
Authors: Y. Leung, W.Z. Wu, W.X. Zhang
Journal: European Journal of Operational Research, Vol. 168(1), pp. 164-180
Citations: 414
Year: 2006
Neighborhood Operator Systems and Approximations
Authors: W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 144(1), pp. 201-217
Citations: 284
Year: 2002
On Characterizations of (I, T)-Fuzzy Rough Approximation Operators
Authors: W.Z. Wu, Y. Leung, J.S. Mi
Journal: Fuzzy Sets and Systems, Vol. 154(1), pp. 76-102
Citations: 279
Year: 2005
Knowledge Reduction in Random Information Systems via Dempster–Shafer Theory of Evidence
Authors: W.Z. Wu, M. Zhang, H.Z. Li, J.S. Mi
Journal: Information Sciences, Vol. 174(3-4), pp. 143-164
Citations: 267
Year: 2005
A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems
Authors: Y. Leung, M.M. Fischer, W.Z. Wu, J.S. Mi
Journal: International Journal of Approximate Reasoning, Vol. 47(2), pp. 233-246
Citations: 258
Year: 2008

Conclusion

Dr. Wei-Zhi Wu is a highly accomplished researcher whose work demonstrates both depth and breadth across mathematics, data mining, and AI. His robust research profile, substantial publications, international recognition, and leadership roles affirm his suitability for the Best Researcher Award. Given his impactful contributions to foundational AI research, awarding him could encourage further advances in mathematical applications within AI and inspire other scholars in related fields.

ebraheem menda | Signal Processing | Best Researcher Award

Posted on 26/09/202426/09/2024 by ScienceFather

Mr. ebraheem menda |Signal Processing | Best Researcher Award

Assistant professor at GITAM University, India

Dr. Menda Ebraheem is an innovative and results-driven Assistant Professor with over 15 years of experience in electrical and electronics engineering education. Passionate about integrating cutting-edge research and technology, he focuses on advancing engineering methodologies through experimental design and quantitative analysis. 💡 Dr. Ebraheem is dedicated to mentoring emerging talent, fostering innovation, and contributing to the growth of the scientific community through high-quality publications. His ability to simplify complex ideas into actionable solutions has earned him respect among his peers and students

Publication Profile

scholar

Education 🎓

Dr. Menda Ebraheem holds a B.E. in Electrical and Electronics Engineering from Andhra University College of Engineering (2000-2004) and an M.Tech from GVP College of Engineering (2005-2007). His academic background provided him with a solid foundation in engineering principles, which he has since built upon through a career dedicated to both education and research. 📖 During his studies, he honed his skills in quantitative analysis, research design, and applied electrical engineering, which would later play a pivotal role in his professional career. 📘

Experience💼

Dr. Menda Ebraheem has been serving as an Assistant Professor at GITAM University since 2009. Over the past decade, he has become known for his ability to translate complex electrical engineering concepts into understandable material for students. ✍️ Prior to his role at GITAM, he worked as an Assistant Professor at Pydah College of Engineering and Technology (2006-2009), where he first began honing his teaching and research skills. His career spans over 15 years in academia, where he has actively contributed to the development of future engineers while also collaborating on various cross-functional research projects. 📊

Awards and Honors🏆

Dr. Menda Ebraheem has received recognition for his dedication to research and teaching. His outstanding contributions to electrical and electronics engineering have been acknowledged with accolades that highlight his excellence in both academic and experimental research. 🎖️ In addition to delivering impactful research publications, Dr. Ebraheem has been commended for his mentorship efforts, guiding students to reach their full potential. His numerous awards reflect his commitment to innovation and the broader scientific community, fostering a culture of learning and excellence within the university. 🌟

Research Focus 🔬

Dr. Menda Ebraheem’s research focuses on electrical and electronics engineering, with a particular emphasis on leveraging quantitative analysis, experimental design, and technology-driven solutions. 📈 His work explores advancements in power systems, control systems, and circuit design, contributing to cutting-edge developments in the field. 📊 He has a strong publication record in reputable journals and is actively involved in cross-functional research collaborations aimed at driving innovation. His commitment to translating theoretical concepts into practical applications ensures his research makes a meaningful impact on both industry and academia. 💡

Publication Top Notes

Comparative performance evaluation of teaching learning-based optimization against genetic algorithm on benchmark functions
📖 M. Ebraheem, T.R. Jyothsna (2015)
Published in the IEEE Power, Communication and Information Technology Conference, this study compares the performance of Teaching Learning Based Optimization (TLBO) with Genetic Algorithms (GA) on benchmark functions. It focuses on assessing optimization algorithms’ efficiency for solving complex engineering problems. 📊
Performance analysis of transient behavior of PMSG model with sudden load variations: Part-2
📚 T.R. Jyothsna, M. Ebraheem (2018)
This paper, presented at the Technologies for Smart-City Energy Security and Power Conference, investigates the transient behavior of Permanent Magnet Synchronous Generator (PMSG) models under sudden load variations, focusing on the implications for smart energy systems. 💡
Modeling and Analysis of Wind Energy System
📘 S. Medikonda, G. Vanitha, M. Ebraheem (2022)
In this conference paper, Dr. Ebraheem and co-authors analyze wind energy systems, providing modeling insights to optimize the performance of wind energy conversion systems, especially for intelligent controllers. 🌬️
Hybrid sand cat-galactic swarm optimization-based adaptive maximum power point tracking and blade pitch controller for wind energy conversion system
🌀 M. Ebraheem (2024)
Published in the International Journal of Adaptive Control and Signal Processing, this innovative paper introduces a hybrid optimization algorithm for adaptive maximum power point tracking and control in wind energy systems, showcasing advancements in renewable energy technologies. 🌍
ATC Calculation using Power Transfer Distribution Factor for Large System
⚡ P.M. Ebraheem Menda, Aravind Kumar Kondaji (2022)
Published in NeuroQuantology, this research addresses Available Transfer Capability (ATC) calculation using power transfer distribution factors, a critical issue in managing large power systems. 🚀
Performance analysis of transient behaviour of PMSG model with sudden load variations part-1
⚙️ T.R. Jyothsna, M. Ebraheem (2018)
This paper provides an in-depth analysis of the PMSG model’s performance under transient conditions, emphasizing the system’s response to load fluctuations and its implications for renewable energy integration. 🌿

Conclusion

With an extensive body of work, innovative research contributions, and a proven track record of mentoring emerging talent, Menda Ebraheem is well-suited for the Best Researcher Award. His dedication to advancing electrical and electronics engineering, particularly in renewable energy systems and digital signal processing, marks him as a leader in his field. By addressing areas for further growth, he will continue to contribute significantly to both academia and industry.

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.

Durga Ghosh | energy | Best Researcher Award

Posted on 12/07/202412/07/2024 by ScienceFather

Dr. Durga Ghosh | energy | Best Researcher Award

Dr. North Carolina State University, United States

Durga Prasad Ghosh is a postdoctoral scholar specializing in mechanical engineering, currently at North Carolina State University. He holds a Ph.D. from the Indian Institute of Technology, Patna, and an M.Tech. in Thermal Engineering from Kalinga Institute of Industrial Technology. Ghosh has extensive research experience, having worked on projects related to thermal energy storage, water desalination, and evaporator design. He has taught courses at Oregon State University and Gandhi Institute of Excellent Technocrats. His notable achievements include securing research funding, publishing in peer-reviewed journals, and being a semi-finalist in the American-Made Geothermal Lithium Extraction Prize.

Professional Profiles:

Scopus

Education🎓

Ph.D., Mechanical Engineering
Indian Institute of Technology, Patna, India
June 2015 – October 2019CGPA: 8.25/10🎓 M.Tech., Thermal Engineering
Kalinga Institute of Industrial Technology, India
June 2012 – June 2014CGPA: 9.15/10 (Highest in the department)🎓 B.Tech., Mechanical Engineering
Gandhi Institute of Engineering Technology, India
August 2007 – July 2011CGPA: 7.42/10

Awards and Achievements 🏆

2021: Selected as one of the semifinalists in “The American-Made Geothermal Lithium Extraction Prize” and gained funding of $40,000. 018: Secured 1st position in “My Research in Three Minutes” competition on 7th Research Scholar’s Day, IIT Patna, 2018. 2014: Received Vice Chancellor Silver Medal for securing the highest mark in Thermal Engineering during M.Tech. 2004: Won a GOLD medal at All Orissa Geography Talent Test, 2004.
2003: Secured an All India rank of 323 in the 3rd National Science Olympiad, 2003.

Leadership and Service🔧

2019 – 2023: Led a team of Postdocs, graduate, and undergraduate students across four universities to successfully complete a multi-million dollar DOE project. 🔧 2019: Volunteered in organizing the 8th Research Scholar’s Day, IIT Patna, 2019. 2017: Volunteered in organizing the 6th Research Scholar’s Day, IIT Patna, 2017. 2013: Volunteered in organizing the 1st KIIT International Symposium on Advances in Automotive Technology (KIIT SAAT), 2013. 2008 – 2009: Served as an Office Bearer of the Mechanical Engineering Student Association (MESA), GIET, Gunupur, India.

Professional Experience

🛠️ Postdoctoral Scholar, Mechanical Engineering
North Carolina State University, Raleigh, NC, USA
April 2023 – PresentLeading the design, fabrication, and experimentation of nature-inspired variable capacity evaporators for low Global Warming Potential (GWP) refrigerants.Enhancing condensation via optimized gradient wick structures.🛠️ Postdoctoral Scholar, Mechanical Engineering
University of Michigan, Ann Arbor, MI, USA
April 2023 – April 2024Led projects on thermal energy storage, supervising 2 graduates and 3 undergraduates.Studied hydration kinetics of salt hydrates in a through-flow reactor for thermochemical energy storage.Analyzed data to establish trade-offs between specific power and specific energy.Utilized CAD software SolidWorks for 3D modeling and performed thermal simulation using COMSOL.🛠️ Instructor of Record, Energy System Engineering
Oregon State University, Bend, OR, USA
January 2023 – March 2023Taught Heat Transfer (ME332) for the winter term.Developed course content and conducted review sessions.Managed course materials and assignments on CANVAS.🛠️ Postdoctoral Scholar, Mechanical Engineering
Oregon State University, Bend, OR, USA
December 2019 – April 2023Led a team working on a novel Zero Liquid Discharge (ZLD) humidification-dehumidification water desalination system.Managed contractual milestones for multimillion-dollar US DOE awards.Conducted independent research and supervised PhD, graduate, and undergraduate students.🛠️ Project Fellow, Mechanical Engineering
Indian Institute of Technology, Patna, India
December 2014 – October 2019Designed and fabricated experimental setups for flow boiling in nanostructured microchannels.Performed Fast Fourier Transform Analysis in MATLAB.🛠️ Assistant Professor, Mechanical Engineering
Gandhi Institute of Excellent Technocrats, Bhubaneswar, India
July 2014 – November 2014Taught undergraduate courses on Basic Thermodynamics and Heat Transfer.Developed course content and conducted review sessions.

✍️Publications Top Note :

Abstract: Anti-fouling Rotating Polymer-Based Heat Exchanger for Zero Liquid Discharge Humidification-Dehumidification Desalination

Authors: Ghosh, D.P., Hassan, M., Dennis, S.J., Elhashimi-Khalifa, M.A., Abbasi, B. Journal: Water Research, 2024, 258, 121749

Fouling Mechanism in Airblast Atomizers and Its Suppression for Water Desalination

Authors: Sharma, D., Ghosh, D.P., Dennis, S.J., Abbasi, B.

Journal: Water Research, 2022, 221, 118726

Development of an Anti-Clogging Perforated Plate Atomizer for a Zero Liquid Discharge Humidification-Dehumidification Desalination System

Authors: Sharma, D., Ghosh, D.P., Rote, J.N., Zhang, X., Abbasi, B.

Journal: Desalination, 2021, 515, 115195

Mitigation of Transient Fluctuations During Flow Boiling in Microchannels via Adaptive Vapor Venting

Authors: Ghosh, D.P., Sharma, D., Abbasi, B.

Journal: IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021, 11(10), pp. 1645–1654

An Ingenious Fluidic Capacitor for Complete Suppression of Thermal Fluctuations in Two-Phase Microchannel Heat Sinks

Authors: Ghosh, D.P., Sharma, D., Kumar, A., Saha, S.K., Raj, R.

Journal: International Communications in Heat and Mass Transfer, 2020, 110, 104347

Facile Fabrication of Nanostructured Microchannels for Flow Boiling Heat Transfer Enhancement

Authors: Ghosh, D.P., Sharma, D., Mohanty, D., Saha, S.K., Raj, R.

Journal: Heat Transfer Engineering, 2019, 40(7), pp. 537–548

Thermohydraulic Characterization of Flow Boiling in a Nanostructured Microchannel Heat Sink with Vapor Venting Manifold

Authors: Sharma, D., Ghosh, D.P., Saha, S.K., Raj, R.

Journal: International Journal of Heat and Mass Transfer, 2019, 130, pp. 1249–1259

Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Posted on 11/07/202411/07/2024 by ScienceFather

Mr. Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Mr. Aalto University, Finland

Mohammadjavad Shabanpoursheshpoli is a dedicated Marie Curie Early-stage researcher and PhD candidate specializing in applied electromagnetics and telecommunications, with a focus on Reconfigurable Intelligent Surfaces (RIS) for 5G and 6G wireless networks. He has published over 10 journal papers and received several prestigious awards, including the 2023 Nokia Foundation scholarship for outstanding research in RIS-based 6G networks. He was an invited speaker at Metamaterials 2023 and named the best-performing research fellow of the Meta wireless project in 2022. He holds a PhD from Aalto University and has earned full scholarships and top academic rankings throughout his education.

Professional Profiles:

Google scholar

🎓 Education

Ph.D.Aalto University, Espoo, Finland5/5 (passed all 40 credits)M.Sc.Iran University of Science & Technology, Tehran, Iran16.65/20B.Sc.Babol Noshirvani University of Technology, Babol, Iran

📜 Honours & Awards

🎓 Motivated and Accomplished Researcher

Marie Curie Early-Stage Researcher (PhD candidate) specializing in applied electromagnetics and telecommunication, focusing on Reconfigurable Intelligent Surfaces for 5G and 6G wireless networks.

Committed to advancing telecommunication technology through a combination of rigorous theory and practical expertise, resulting in 10+ published journal papers recognized within the academic community.

🏅 2023 Nokia Foundation Scholarship

Recognized for outstanding research contributions in the field of RIS-based 6G wireless networks.

🎤 Invited Speaker

Accepted as an invited speaker for the 17th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2023) in Greece.

🌟 Best-Performing Research Fellow

Selected as the “2022 best-performing research fellow of the Meta Wireless Project” in Gaeta, Italy (14 Nov. 2022).

🎓 Full Scholarships

Received a full scholarship from H2020 Marie Skłodowska-Curie Innovative Training Networks (ITNs) under grant agreement NO 956256.

Awarded a full scholarship from Noshirvani Institute of Technology & Iran University of Science and Technology (tuition waiver).

📚 Top-Cited Paper

Awarded a top-cited paper 2020-2021 in Annalen der Physik by Wiley.

📈 Academic Achievements

Ranked 3rd GPA among the graduating class in the master’s program at Iran University of Science and Technology.Ranked within the top 0.05% in the Iranian university entrance exam for a master’s degree in electrical engineering (2016).Ranked within the top 0.1% in the Iranian university entrance exam for a bachelor’s degree (2012).

✍️Publications Top Note :

“Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering”

(Scientific Reports, 2020) – Cited 103 times.

“Deep neural network-based automatic metasurface design with a wide frequency range”

(Scientific Reports, 2021) – Cited 72 times.

“Asymmetric spatial power dividers using phase–amplitude metasurfaces driven by Huygens principle”

(ACS Omega, 2019) – Cited 66 times.

“Programmable anisotropic digital metasurface for independent manipulation of dual-polarized THz waves based on a voltage-controlled phase transition of VO₂ microwires”

(Journal of Materials Chemistry C, 2020) – Cited 63 times.

“Reconfigurable honeycomb metamaterial absorber having incident angular stability”

(Scientific Reports, 2020) – Cited 44 times.

“A deep learning approach for inverse design of the metasurface for dual-polarized waves”

(Applied Physics A, 2021) – Cited 36 times.

“Real-time multi-functional near-infrared wave manipulation with a 3-bit liquid crystal-based coding metasurface”

(Optics Express, 2021) – Cited 30 times.

“Full Manipulation of the Power Intensity Pattern in a Large Space-Time Digital Metasurface: From Arbitrary Multibeam Generation to Harmonic Beam Steering Scheme”

(Annalen der Physik, 2020) – Cited 23 times.

“Implementation of conformal digital metasurfaces for THz polarimetric sensing”

(OSA Continuum, 2021) – Cited 22 times.

“Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor”

(Journal of Physics D: Applied Physics, 2020) – Cited 18 times.

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

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Posted on 31/05/202431/05/2024 by ScienceFather

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Dr. Zahraa Mohammed, Babylon university, Iraq

Dr. Zahraa Mohammed 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 HISTORY 🎓

Bachelor of Science in Computer Science, 2006Master of Computer Science, 2016Doctoral Student

💼 WORK EXPERIENCE 💼

Teacher at University of Babylon, Iraq 📚

🔍 RELEVANT SKILLS 🔍

Fluency in English

📖 Publications Top Note :

Article: Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Authors: Mohammed, Z.A.; Gheni, H.Q.; Hussein, Z.J.; Al-Qurabat, A.K.M.

Published in: Engineering, Technology and Applied Science Research, 2024, 14(1), pp. 12694–12701

Abstract: [Abstract not available]