Tarik El Moudden | AI | Best Researcher Award

Posted on 21/10/2024 by Best Paper Awards

Mr. Tarik El Moudden | AI | Best Researcher Award

Tarik El Moudden at Ibn Tofail University, Kenitra, Morocco, Morocco

Summary:

Dr. Tarik El Moudden is a Moroccan-based data scientist and AI specialist, currently serving as a Senior Web Application Developer and Data Analyst at Zenithsoft and a lecturer at Ibn Tofail University. He has extensive experience in neural network frameworks, computer vision, and predictive analytics, leveraging tools such as Python, TensorFlow, and Keras. In addition to his research, he is dedicated to mentoring the next generation of AI professionals and data scientists. He combines a strong academic background with hands-on industry experience, working on complex problems in machine learning, AI integration, and big data analytics.

Professional Profile:

Scopus Profile
Orcid Profile

👩‍🎓Education:

Dr. Tarik El Moudden earned his Doctorate in Predictive Modeling using AI and Big Data Analysis from the Computer Science Research Laboratory at Ibn Tofail University, Kenitra, Morocco, in 2024. He holds a DESA (Diplôme d’Études Supérieures Approfondies) in Advanced Study in Telecommunication and Informatics from the same university, completed in 2008. Dr. El Moudden has also pursued a number of professional certifications, including specialized skills in Power BI, Artificial Intelligence (AI), Python, Data Science, Machine Learning, Deep Learning, and Big Data, powered by IBM Developer Skills Network (2024). He holds certifications from NASA’s Applied Remote Sensing Training (ARSET) program, covering large-scale machine learning applications for agriculture solutions and spectral indices for land and aquatic applications. Additionally, he is certified as a Professional Drone Pilot and in Project Management with AI.

🏢 Professional Experience:

Dr. El Moudden has been a Senior Web Application Developer and Senior Data Analyst and AI Models Integration Specialist at Zenithsoft, Rabat, Morocco, from 2020 to 2024. During his tenure, he developed expertise in neural networks, deep learning, and machine learning models for predictive analytics and data-driven solutions. At Ibn Tofail University, he has taught various modules across different levels, such as Power BI, Data Science, Applied Mathematics, Python Programming, and Machine Learning. He has been involved in teaching these subjects at the Master’s and Professional License levels in fields like Big Data, Artificial Intelligence (AI), Engineering, and Applied Mathematics from 2019 to 2024. His teaching portfolio extends to subjects like Numerical Methods with Python for Master’s students in Partial Differential Equations and Complex Geometry, as well as Applied Mathematics and Optimization for Engineering students.

Research Interests:

Dr. El Moudden’s research primarily focuses on AI integration in predictive modeling, machine learning applications for large-scale agriculture solutions, computer vision, neural networks (CNNs, RNNs, GANs), and data analysis. His work spans image classification, object detection, and image segmentation using Python, TensorFlow, Keras, and PyTorch. He is also passionate about exploring AI’s potential in various industry-specific applications, particularly Big Data, deep learning models, and cloud-based solutions through platforms like Microsoft Azure.

Author Metrics:

ORCID: 0000-0002-6963-6686
Published Articles: Dr. El Moudden has contributed to scientific publications and is a regular reviewer in the fields of AI, predictive analytics, and machine learning. His research focuses on enhancing AI’s impact on real-world applications, particularly in agriculture and big data. He continues to publish research papers in both local and international conferences.

Top Noted Publication:

Artificial intelligence for assessing the planets’ positions as a precursor to earthquake events

Authors: T.E. Moudden, M. Amnai, A. Choukri, Y. Fakhri, G. Noreddine
Journal: Journal of Geodynamics, 2024, Volume 162, Article 102057
This article explores the use of artificial intelligence to analyze planetary positions in relation to earthquake occurrences, contributing valuable insights into the role of celestial mechanics in earthquake prediction.

New unfreezing strategy of transfer learning in satellite imagery for mapping the diversity of slum areas: A case study in Kenitra city—Morocco

Authors: T.E. Moudden, M. Amnai, A. Choukri, Y. Fakhri, G. Noreddine
Journal: Scientific African, 2024, Volume 24, Article e02135
This open access research focuses on a novel transfer learning approach to analyze satellite imagery for detecting slum areas in Kenitra, Morocco. It highlights advancements in AI and satellite technology for urban mapping.

Building an efficient convolution neural network from scratch: A case study on detecting and localizing slums

Authors: T.E. Moudden, M. Amnai
Journal: Scientific African, 2023, Volume 20, Article e01612
This article presents a case study on developing an effective convolutional neural network (CNN) from scratch, specifically designed for slum detection and localization.

Slum image detection and localization using transfer learning: a case study in Northern Morocco

Authors: T. El Moudden, R. Dahmani, M. Amnai, A.A. Fora
Journal: International Journal of Electrical and Computer Engineering, 2023, Volume 13(3), Pages 3299–3310
This article applies transfer learning techniques to detect and localize slums using satellite imagery, focusing on Northern Morocco as a case study.

Nutrient removal performance within the biological treatment of the Marrakech wastewater treatment plant and characterization of the aeration and non-aeration process

Authors: M. Tahri, T. El Moudden, B. Bachiri, M. El Amrani, A. Elmidaoui
Journal: Desalination and Water Treatment, 2022, Volume 257, Pages 117–130
This article investigates the efficiency of nutrient removal during the biological treatment processes at the Marrakech wastewater treatment plant, providing key insights into water treatment technologies.

Conclusion:

Dr. Tarik El Moudden is a deserving candidate for the Best Researcher Award due to his significant contributions to the field of AI, data science, and machine learning, with a strong focus on practical applications in agriculture, urban development, and disaster prediction. His academic achievements, coupled with his industry expertise, reflect a researcher who is poised to make transformative impacts in the AI landscape. With a bit more focus on expanding his international collaborations and enhancing the visibility of his work, Dr. El Moudden’s research can become even more influential in shaping AI’s future in solving complex, real-world problems.

Cinzia Bandiziol | Mathematics | Best Researcher Award

Posted on 21/10/202421/10/2024 by Best Paper Awards

Ms. Cinzia Bandiziol | Mathematics | Best Researcher Award

Cinzia Bandiziol at University of Padua, Italy

Summary:

Cinzia Bandiziol is a passionate mathematician with a focus on applying mathematical tools in industrial contexts. Currently a Ph.D. student at the University of Padova, her work involves the use of topological data analysis, particularly Persistent Homology, to solve complex problems in Industry 4.0. She brings a deep analytical mindset, precision, and perseverance to her research, traits that have defined her academic and professional journey. With prior experience as a Data Analyst at Texa Spa, Cinzia blends her love for mathematics with practical applications, striving to bridge the gap between theory and industry. In addition to her research, she enjoys volunteering and tutoring students, helping them overcome challenges in mathematics.

Professional Profile:

Scopus Profile

👩‍🎓Education:

Ph.D. in Mathematical Sciences
University of Padova (2022 – Ongoing)
Research focus on the application of topological tools such as Persistent Homology in the context of Industry 4.0, data analysis, and machine learning.
M.Sc. in Mathematics
University of Padova (2015 – 2018)
Final Score: 110/110 cum laude
Thesis: “An extension of FHRI to two-dimensional domains”
B.Sc. in Mathematics
University of Padova (2011 – 2015)
Final Score: 93/110

🏢 Professional Experience:

Ph.D. Student, Mathematical Sciences
University of Padova (2022 – Present)
Currently focusing on the application of topological tools, such as Persistent Homology, in industrial applications, including Industry 4.0 and machine learning. Extensive experience in programming, numerical approximation, and optimization techniques.
Data Analyst
Texa Spa, Monastier (2018 – 2021)
Worked on fleet management reports, analyzing statistical and operational data before presenting findings to clients. This role involved significant work in data management, quality control, and statistical analysis.
Academic Tutor
Supported undergraduate students in Matlab-based courses and assisted professors in grading exams, fostering strong connections with students and encouraging academic success in mathematics.

Research Interests:

Cinzia Bandiziol’s research revolves around the application of advanced mathematical methods in real-world industry scenarios. Her primary interests include:

Topological Data Analysis (TDA), specifically the use of Persistent Homology in classification and machine learning.
Application of numerical approximation techniques and optimization in industrial systems.
Development of adaptive gradient methods for training neural networks.
Mathematical techniques in Industry 4.0, focusing on data-driven decision-making and automation.

Author Metrics:

Publications:

Bandiziol, C., De Marchi, S. (2019). “On the Lebesgue constant of the trigonometric Floater-Hormann rational interpolant at equally spaced nodes.” Dolomites Research Notes on Approximation, 12.6, 51–67. URL
Bandiziol, C., De Marchi, St. (2024). “Persistence Symmetric Kernels for Classification: A Comparative Study.” Symmetry, 16.1236. doi: 10.3390/sym16091236.

Conferences:

Presented at several national and international conferences, including seminars in Napoli, Torino, and the University of Padova, on topics such as topological layers in neural networks and classification using TDA.

Top Noted Publication:

1. Persistence Symmetric Kernels for Classification: A Comparative Study

Authors: Cinzia Bandiziol, Stefano De Marchi
Journal: Symmetry
Year: 2024
Volume and Issue: 16(9)
Article ID: 1236
DOI: 10.3390/sym16091236
Citations: 0
Abstract: This paper conducts a comparative study on the use of Persistence Symmetric Kernels for classification tasks in machine learning, emphasizing the benefits of topological methods.

2. On the Lebesgue Constant of the Trigonometric Floater-Hormann Rational Interpolant at Equally Spaced Nodes

Authors: Cinzia Bandiziol, Stefano De Marchi
Journal: Dolomites Research Notes on Approximation
Year: 2019
Volume: 12
Pages: 51–67
Citations: 2
Abstract: The paper analyzes the behavior of the Lebesgue constant in the context of trigonometric Floater-Hormann rational interpolation, providing insights into the accuracy and efficiency of this approximation method.

Conclusion:

Ms. Cinzia Bandiziol is a highly promising candidate for the Best Researcher Award due to her advanced research in the field of Topological Data Analysis and its applications to Industry 4.0. Her strong academic foundation, practical industry experience, and innovative research make her a valuable contributor to both mathematics and industrial problem-solving. Enhancing the impact of her publications and engaging in broader interdisciplinary work will help her establish a stronger presence in the global research community. Nevertheless, her current accomplishments demonstrate significant promise and merit recognition.

Raihan Riaz | Geography and Environment | Best Researcher Award

Posted on 18/10/202418/10/2024 by Best Paper Awards

Mr. Raihan Riaz | Geography and Environment | Best Researcher Award

Research Associate at Jagannath University, Bangladesh

Summary:

Mr. Raihan Riaz is an emerging researcher in the field of Geography & Environment with a focus on climate change-induced migration, natural hazards, and disaster risk management in Bangladesh. He completed his MSc from Jagannath University with distinction, achieving the first position in his thesis group. With extensive research experience, Mr. Riaz has contributed to several notable projects on riverbank erosion, forced migration, and environmental hazards across various regions of Bangladesh. His skill set includes GIS-based modeling, statistical analysis, and field data collection, and he has published in several reputable journals. He is also actively involved in academia and environmental awareness initiatives, holding leadership roles in student organizations.

Professional Profile:

Google Scholar Profile

👩‍🎓Education:

Master of Science (MSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2022; Exam held 2024)
GPA: 3.99/4.00 | 1st Position in Thesis Group
Bachelor of Science (BSc) in Geography & Environment, Jagannath University, Dhaka, Bangladesh (2021; Exam held 2023)
CGPA: 3.84/4.00

🏢 Professional Experience:

Research Assistant (RA), Dr. Md. Mohiuddin (2024-25)
Project: Determining the Factors of Migration during Flash Flood in Haor Area, Northeastern Bangladesh
Research Fellow, Ministry of Science & Technology, Dhaka (2023-24)
Research Assistant (RA), University Grants Commission of Bangladesh
Projects: Consequences of River Bank Erosion Induced Forced Migration at Char Land in Bangladesh (2019-2020), Climate Change Induced Forced Migration in Southeast Bangladesh (2021-22)
Assistant Project Manager (APM), Asiatic Society of Bangladesh (2020-21)
Project: Perceptions Towards Climate Change-Induced Hazards and Resettlement Preferences in Coastal Bangladesh
Data Enumerator, Worked on multiple surveys, including the baseline survey of Rohingya refugee impact, livelihood status of the Dublarchar fisherman community, and land use assessment in Sylhet and Sunamganj districts.

Research Interests:

Mr. Raihan Riaz’s research interests include climate change impacts, forced migration, natural hazards, and geospatial modeling. He has a particular focus on climate-induced migration, disaster risk reduction, and geographic information systems (GIS)-based modeling for environmental planning and hazard susceptibility mapping. His work often intersects with understanding the socio-economic effects of environmental changes and the resilience of affected populations.

Author Metrics:

Publications:

Neegar Sultana and Raihan Riaz., Knowledge, Attitude and Practices towards Flash Flood in Sunamganj District, Bangladesh, Natural Hazards, Springer [1st review complete]
Raihan Riaz and Neegar Sultana., Location-specific Heterogeneity in Landslide Resilience Index: A Household-based Comparative Study in Rangamati Hill District, Bangladesh, Ecological Indicators, Elsevier [Under Review]
Raihan Riaz and Mohiuddin, Md., Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh, Water Cycle, Elsevier [Accepted]
Neegar Sultana, Md. Farhad Hossain, Raihan Riaz., Landslide Risk Assessment in Bandarban Hill District of Bangladesh Using GIS and RS Techniques, Physical Geography, Taylor and Francis [1st Review Complete]
Raihan Riaz and N.M. Refat Nasher., Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) using Geo-Spatial Techniques, Journal of Geophysics, 27(6), 462-475 (2023)

Awards and Achievements

National Science & Technology Award for MSc Thesis (2023)
Dean’s List Scholarship for maintaining a CGPA above 3.75/4.00
University Merit Scholarship (2018-2021)
Mr. Riaz continues to make significant contributions to the study of environmental challenges and migration in Bangladesh, with several promising research outputs under review and in press.

Top Noted Publication:

Application of GIS-Based Multi-Criteria Decision Analysis of Hydro-Geomorphological Factors for Flash Flood Susceptibility Mapping in Bangladesh

Authors: R. Riaz, M. Mohiuddin
Journal: Water Cycle
Year: 2024
Summary: This paper uses GIS-based Multi-Criteria Decision Analysis (MCDA) to evaluate hydro-geomorphological factors and their contributions to flash flood susceptibility in Bangladesh. It emphasizes the integration of spatial data and analytical models to improve hazard mapping and risk management strategies for flood-prone areas.
Status: Accepted

Building Responsiveness through Community-based Adaptation to Climate Change: Lesson Learned from Coastal Zone of Bangladesh

Author: R. Riaz
Conference: BCSIR Congress-2023
Volume: 50 (1), pp. 367-371
Year: 2024
Summary: This conference paper highlights community-based adaptation strategies to address the adverse impacts of climate change in Bangladesh’s coastal zones. It discusses the lessons learned from local initiatives that enhance resilience and responsiveness among vulnerable communities.
Status: Presented at BCSIR Congress

Assessment of Riverbank Erosion-Deposition Trend Using Geospatial Techniques in the Padma River, Bangladesh

Author: R. Riaz
Conference: 9th International Conference on Water and Flood Management (ICWFM)
Volume: 2
Year: 2023
Summary: This paper presents a geospatial analysis of riverbank erosion and deposition trends along the Padma River. By applying remote sensing and GIS tools, it offers an understanding of the river’s morphological changes over time, providing insights into erosion mitigation and river management.
Status: Presented at ICWFM 2023

Urban Expansion and Land Use Changes of a Fringe Area in the Southern Part of Dhaka City (Bangladesh) Using Geo-Spatial Techniques

Authors: R. Riaz, N.M.R. Nasher
Journal: The Journal of Indian Geophysical Union
Volume: 27 (6), pp. 462-475
Year: 2023
Summary: This research explores urban expansion and land use dynamics in the southern fringes of Dhaka city. Utilizing geospatial techniques, the paper analyzes land use changes over time, highlighting the environmental and planning challenges associated with rapid urbanization.
Status: Published

Conclusion:

Mr. Raihan Riaz is a strong candidate for the Best Researcher Award, especially considering his early career stage and already substantial contributions to environmental and disaster risk research. His focus on climate change-induced migration and disaster risk reduction in Bangladesh addresses pressing local and global issues, making his work highly relevant and impactful. With his technical expertise, growing publication record, and recognition through national awards, Mr. Riaz is well-positioned for further success.

To maximize his candidacy for this award, Mr. Riaz could continue to expand his publication portfolio, seek international collaborations, and enhance the global applicability of his research. Given his strong foundation and ongoing projects, he holds significant potential to be recognized as an outstanding researcher in his field.

Hend Ouertani | Oral Surgery | Best Researcher Award

Posted on 18/10/202418/10/2024 by Best Paper Awards

Assoc Prof Dr. Hend Ouertani | Oral Surgery | Best Researcher Award

Hend Ouertani at Military Hospital of Tunis, Faculty of Dental Medicine, University of Monastir, Tunisia

Summary:

Dr. Hend Ouertani is an Associate Professor specializing in oral surgery with a distinguished career at the Military Hospital of Tunis. She also teaches at the Faculty of Dental Medicine, University of Monastir. Her academic journey includes diplomas in oral implantology and hypnosis, along with multiple certificates in areas such as occlusodontia, medical research, and cognitive behavioral therapy. Dr. Ouertani has authored and co-authored about twenty scientific articles published in national and international journals, and she frequently lectures at national and international conferences. She also serves as a reviewer for the Tunisie Médicale journal and the International Journal of Surgery Case Reports.

Professional Profile:

👩‍🎓Education:

Diplomas:

Oral Implantology
Hypnosis

Certificates:

Occlusodontia
Medical Research and Epidemiology
Digital Learning Management
Pedagogy of Medical Sciences
Cognitive and Behavioral Therapy
Oral Microbiota

🏢 Professional Experience:

Dr. Hend Ouertani is an Associate Professor in Oral Surgery at the Military Hospital of Tunis and part of the teaching staff at the Faculty of Dental Medicine, University of Monastir. With extensive experience in oral surgery, she has contributed to academic and clinical excellence, mentoring dental students and conducting advanced oral surgery procedures. Dr. Ouertani has also been involved in digital learning initiatives and pedagogical innovations within the medical sciences. Her clinical expertise in oral implantology and experience in cognitive and behavioral therapy for dental patients are instrumental in her teaching and practice.

Research Interests:

Dr. Ouertani’s research focuses on oral implantology, oral microbiota, and occlusodontia. She also explores interdisciplinary applications of cognitive and behavioral therapy in dental practices and digital learning management in medical education. Additionally, she is engaged in epidemiological studies related to oral health.

Author Metrics:

Publications: Approximately 20 scientific articles in national and international journals.

Reviewer:

Tunisie Médicale
International Journal of Surgery Case Reports

Lecturer: Frequent speaker at national and international congresses.

Top Noted Publication:

1. Dental Waste Management and Ecoresponsability Among Private Practitioners in Tunisia: National Survey

Authors: Ouertani, H., Becher, E., Jemaa, M., Masmoudi, R., Khattech, M.B.
Journal: Toxicologie Analytique et Clinique
Year: 2024 (In Press)
Summary: This study investigates dental waste management practices and eco-responsibility among private dental practitioners in Tunisia. The national survey assesses current waste disposal methods, compliance with environmental regulations, and aims to propose sustainable solutions for dental practices.

2. Assessment of Therapeutic Compliance and Its Associated Factors in Tunisian Adult Asthmatic Patients

Authors: Zaibi, H., Allouche, A., Jemia, E.B., Amar, J.B., Aouina, H.
Journal: Tunisie Médicale
Year: 2023
Volume: 101(2), Pages 266–272
Summary: The article evaluates the therapeutic compliance of Tunisian adult asthmatic patients, identifying key factors that affect their adherence to prescribed treatments. The study highlights the need for improved strategies to enhance treatment outcomes.

3. Misdiagnosis Asthma in Adult, Three Rare Causes

Authors: Zaibi, H., Fessi, R., Jemia, E.B., Amar, J.B., Aouina, H.
Journal: Tunisie Médicale
Year: 2023
Volume: 101(3), Pages 386–390
Summary: This article discusses three rare conditions mistaken for asthma in adults. It emphasizes the importance of accurate differential diagnosis in respiratory diseases to avoid misdiagnosis and inappropriate treatments.

4. Mammary Analogue Secretory Carcinoma: A Case Report

Authors: Hedhli, F., Ouertani, H., Gargouri, F., Valent, A., Khatteche, B.
Journal: Tunisie Médicale
Year: 2020
Volume: 98(2), Pages 168–171
Citations: 2
Summary: This case report describes a rare case of mammary analogue secretory carcinoma (MASC), a type of salivary gland tumor. The report details the clinical presentation, diagnostic process, and therapeutic approach, contributing to the growing body of literature on this rare entity.

5. Ridge Augmentation with Titanium Mesh: A Case Report

Authors: Jegham, H., Masmoudi, R., Ouertani, H., Turki, S., Khattech, M.B.
Journal: Journal of Stomatology, Oral and Maxillofacial Surgery
Year: 2017
Volume: 118(3), Pages 181–186
Citations: 12
Summary: This case report presents the use of titanium mesh in ridge augmentation, focusing on its application in dental implantology. It highlights the surgical technique, clinical outcomes, and its effectiveness in managing complex bone regeneration cases for dental implants.

Conclusion:

Assoc. Prof. Dr. Hend Ouertani is an exceptional candidate for the Best Researcher Award. Her wide-ranging expertise in oral surgery, implantology, and public health, combined with her innovative research on cognitive behavioral therapy and eco-responsibility, make her a strong contender. Her dual academic and clinical roles, alongside her commitment to mentorship and public engagement, further distinguish her as a leader in her field.

To strengthen her candidacy, focusing on increasing the global impact of her publications and expanding interdisciplinary collaborations could propel her research to even greater heights. Dr. Ouertani’s contributions are significant, particularly in the areas of dental surgery, patient care, and sustainable medical practices, and she holds great potential for continued innovation in oral health research. Thus, she is well-suited for this prestigious award.

Yunge Zou | Control Strategy | Best Researcher Award

Posted on 17/10/202417/10/2024 by Best Paper Awards

Dr. Yunge Zou | Control Strategy | Best Researcher Award

Yunge Zou at Chongqing University, China

Summary:

Yunge Zou is a Ph.D. student at Chongqing University, specializing in hybrid powertrain design and optimization. Recognized under elite talent programs, he has contributed to multiple national-level projects, focusing on improving vehicle efficiency and extending battery life. Zou’s research integrates advanced control strategies with powertrain design, resulting in tangible benefits in vehicle performance and energy management. His innovative methods in hybrid powertrains have been implemented in commercial vehicles, showcasing the practical impact of his research.

Professional Profile:

👩‍🎓Education:

Yunge Zou received his Bachelor of Engineering (B.E.) degree in Automotive Engineering from Chongqing University, China, in 2018. He is currently pursuing his Ph.D. in hybrid powertrain design and optimization at the Vehicle Power System Laboratory, Department of Automotive Engineering, Chongqing University. Zou is recognized under the prestigious Chongqing Excellence Program and the Shapingba Elite Talents Program for 2023-2025.

🏢 Professional Experience:

As a Ph.D. candidate, Yunge Zou has been involved in several key research projects, collaborating with leading industry and academic organizations. His research mainly focuses on the design and optimization of hybrid powertrains and battery degradation in electric vehicles. He has made significant contributions to the development of energy management strategies and has been recognized for his work on improving fuel efficiency, battery life, and vehicle performance. Zou has actively collaborated with industry leaders such as Chang’an New Energy Automobile Technology Co., Ltd. and Chongqing Sokon Industry Group, contributing to breakthroughs in battery degradation technology.

Research Interests:

Yunge Zou’s research interests include hybrid powertrain design, battery degradation, transportation electrification, energy management, and powertrain optimization. His current work addresses battery life optimization, hybrid energy storage systems (HESS), and powertrain control, with a particular focus on reducing battery degradation through innovative design and control methods.

Author Metrics:

Yunge Zou has published research papers in prestigious journals such as the Journal of Power Sources. His work on aging-aware co-optimization of hybrid electric powertrains has gained recognition for its practical applications in the automotive industry. Zou holds multiple patents related to hybrid powertrain systems and has contributed to key advancements in battery degradation optimization.

Top Noted Publication:

Design of All-Wheel-Drive Power-Split Hybrid Configuration Schemes Based on Hierarchical Topology Graph Theory
Authors: Y. Yang, P. Li, H. Pei, Y. Zou
Journal: Energy
Volume: 242
Article ID: 122944
Year: 2022
Citations: 13
This paper presents a design framework for all-wheel-drive power-split hybrid configurations, leveraging hierarchical topology graph theory to optimize performance and efficiency. The proposed method helps improve the structural configuration and energy management of hybrid powertrains.
Aging-Aware Co-Optimization of Topology, Parameter, and Control for Multi-Mode Input-and Output-Split Hybrid Electric Powertrains
Authors: Y. Zou*, Y. Yang, Y. Zhang, C. Liu
Journal: Journal of Power Sources
Volume: 624
Article ID: 235564
Year: 2024
Citations: Not yet available (published in 2024)
This paper introduces a co-optimization approach for hybrid electric powertrains that takes into account aging effects on the battery, optimizing not just the powertrain topology, but also its parameters and control strategies to enhance battery life and vehicle performance.
Design of Optimal Control Strategy for Range Extended Electric Vehicles Considering Additional Noise, Vibration, and Harshness Constraints
Authors: Y. Zhang, Y. Yang, Y. Zou, C. Liu
Journal: Energy
Article ID: 133287
Year: 2024
Citations: Not yet available (published in 2024)
This paper addresses the design of an optimal control strategy for range-extended electric vehicles (REEVs), incorporating noise, vibration, and harshness (NVH) constraints. The research aims to improve the driving experience while maintaining energy efficiency and performance.

Conclusion:

Dr. Yunge Zou is a highly promising researcher who stands out in the field of hybrid powertrain design and optimization. His interdisciplinary approach, focus on practical applications, and ability to bridge theory and industry make him a strong candidate for the Best Researcher Award. While there are areas for improvement, such as increasing the citation impact of his recent publications and broadening his industry collaborations, Zou’s contributions to energy management and vehicle performance optimization are significant and show great potential for future advancements in the field of sustainable transportation. His work is not only innovative but also holds real-world implications that can positively impact both the automotive industry and environmental sustainability. Therefore, Dr. Zou is an excellent candidate for this award.

Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Posted on 17/10/202417/10/2024 by Best Paper Awards

Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Assistant Professor at Birla Institute of Technology Mesra, India

Summary:

Dr. Ritwik Maiti is an accomplished researcher in the field of fluid dynamics and granular flow, with a particular emphasis on the behavior of granular materials in various contexts such as silos, open channels, and underground cavities. His work has contributed significantly to understanding the flow of granular media in natural and industrial processes. Dr. Maiti has held prestigious research positions at the National University of Singapore and the University of Sheffield, where he worked on projects ranging from wind-tunnel tests to flow modeling in porous media. He is currently contributing to the academic and research community at Birla Institute of Technology Mesra, where he continues his innovative research on granular flows and their interactions with fluid dynamics.

Professional Profile:

Google Scholar Profile

👩‍🎓Education:

Dr. Ritwik Maiti is an Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi. He earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Kharagpur (2011–2017), where his research focused on the dynamics of dense granular flows through silos, closed channels, and open channels. Dr. Maiti holds a Master of Engineering (M.E.) in Heat Power Engineering from Jadavpur University, Kolkata (2009–2011), and a Bachelor of Technology (B.Tech) in Mechanical Engineering from Kalyani Government Engineering College, West Bengal (2008).

🏢 Professional Experience:

Dr. Maiti has extensive research experience in both mechanical and civil engineering. From 2018 to 2021, he was a Research Fellow with the Fluid Mechanics Research Group at the National University of Singapore, where he worked on projects related to wind-tree interaction and the minimization of granular mixture segregation. Prior to this, he was a Research Associate at the University of Sheffield (2017–2018), where he focused on modeling flow through porous granular media as part of the Geotechnical Engineering Research Group. His professional expertise includes the design and development of experimental fluid flow facilities and the handling of advanced equipment such as high-speed cameras, particle image velocimetry, and particle analyzers.

Research Interests:

Dr. Maiti’s research interests lie at the intersection of fluid mechanics and granular flow. His areas of focus include:

Experimental Fluid Dynamics
Granular Flow Dynamics
Geophysical Flows and Avalanches
Granular Mixing and Segregation
Fluid-Structure Interaction
Impact Crater Analysis
Underground Cavity Collapse
Multiphase Flows
Discrete Element Model (DEM)
Computational Fluid Dynamics (CFD) and CFD-DEM Coupling

He is also skilled in high-speed photography, image processing, and the use of software such as Matlab, Autocad, and LIGGGHTS for simulation and analysis.

Author Metrics:

Dr. Maiti has published numerous articles in international journals and conferences, including:

10 publications in top-tier journals such as Physics of Fluids, Powder Technology, and AIChE Journal.
Contributions to leading conferences such as the International Conference on Fluid Mechanics and Fluid Power and the International Conference on Multiphase Flow.
A book chapter published by Springer in 2017.
Several research papers currently under review in journals like Powder Technology and Ocean Engineering.

Dr. Maiti’s research on granular dynamics has garnered significant attention in his field, contributing valuable insights into both theoretical models and practical applications.

Top Noted Publication:

Experiments on Eccentric Granular Discharge from a Quasi-Two-Dimensional Silo

Authors: R. Maiti, G. Das, P.K. Das
Journal: Powder Technology
Volume: 301
Pages: 1054-1066
Year: 2016
Citations: 35
Summary: This study presents experimental investigations on granular discharge from a quasi-two-dimensional silo with an eccentric outlet. The paper discusses the flow behavior, discharge rates, and the formation of patterns in the granular material as it exits the silo. The experiments provide a detailed understanding of the flow field dynamics during eccentric discharge.

Granular Drainage from a Quasi-2D Rectangular Silo through Two Orifices Symmetrically and Asymmetrically Placed at the Bottom

Authors: R. Maiti, G. Das, P.K. Das
Journal: Physics of Fluids
Volume: 29 (10)
Year: 2017
Citations: 25
Summary: This research explores the granular flow through a rectangular silo with two bottom orifices, placed both symmetrically and asymmetrically. The work examines how different placement configurations of the orifices affect the flow and drainage dynamics of granular materials, contributing valuable insights into granular discharge mechanics.

Flow Field During Eccentric Discharge from Quasi-Two-Dimensional Silos—Extension of the Kinematic Model with Validation

Authors: R. Maiti, S. Meena, P.K. Das, G. Das
Journal: AIChE Journal
Volume: 62 (5)
Pages: 1439-1453
Year: 2016
Citations: 19
Summary: This paper extends a kinematic model to describe the flow field during eccentric discharge from a quasi-2D silo. The study provides experimental validation of the model and offers insights into the flow patterns and velocity fields of granular materials, expanding the understanding of discharge processes in industrial and natural granular systems.

Cracking of Tar by Steam Reforming and Hydrogenation: An Equilibrium Model Development

Authors: R. Maiti, S. Ghosh, S. De
Journal: Biomass Conversion and Biorefinery
Volume: 3
Pages: 103-111
Year: 2013
Citations: 6
Summary: This paper focuses on developing an equilibrium model for tar cracking using steam reforming and hydrogenation. The study addresses the challenges associated with tar removal in biomass gasification and proposes a model to predict the outcomes of chemical reactions involved in the process.

Self-Organization of Granular Flow by Basal Friction Variation: Natural Jump, Moving Bore, and Flying Avalanche

Authors: R. Maiti, G. Das, P.K. Das
Journal: AIChE Journal
Volume: 69 (1)
Article: e17943
Year: 2023
Citations: 2
Summary: This recent study investigates the self-organization phenomena in granular flows due to variations in basal friction. The paper describes natural jumps, moving bores, and flying avalanches in granular media, providing key insights into the mechanics of granular flow and segregation.

Conclusion:

Dr. Ritwik Maiti’s contributions to fluid dynamics and granular flow research, particularly in areas like silo flows and porous media, make him a strong candidate for the Best Researcher Award. His published work demonstrates both depth and innovation in key fields of mechanical engineering, and his international experience enhances his profile. While expanding his research into more applied fields and taking on greater leadership roles could strengthen his application, his current contributions to science are exceptional, positioning him well for recognition in the field of mechanical engineering research.

S. A. Gandjalikhan Nassab | Solar Air Heater | Best Researcher Award

Posted on 15/10/202415/10/2024 by Best Paper Awards

Prof Dr. S. A. Gandjalikhan Nassab | Solar Air Heater | Best Researcher Award

Supervisor at Shahid Bahonar University of Kerman, Iran

Summary:

Prof. Dr. S. A. Gandjalikhan Nassab is a distinguished professor and researcher in mechanical engineering, specializing in heat transfer, fluid mechanics, and renewable energy. With over three decades of experience in academia, he has made significant contributions to the development of mechanical engineering education and research in Iran. He has authored numerous research papers and has been recognized for his outstanding contributions to the field with multiple honors. His expertise and leadership have earned him a top position in the academic community, and he continues to lead innovative research in heat transfer and energy systems.

Professional Profile:

👩‍🎓Education:

Ph.D. in Mechanics, Shiraz University (1993-1999), First Rank among all accepted students.
M.Sc. in Energy Conversion, Tehran University (1989-1991), First Rank among all accepted students.
B.Sc. in Mechanical Engineering, Shiraz University (1984-1989), Second Rank among all accepted students.

🏢 Professional Experience:

Prof. Dr. S. A. Gandjalikhan Nassab is a highly accomplished academic and researcher in the field of mechanical engineering, with a particular focus on heat transfer, fluid mechanics, and renewable energy. He has held several prestigious academic and administrative positions throughout his career, including:

Full Professor, since 2011.
Head of the Mechanical Engineering Department, Shahid Bahonar University (2002-2005).
Head of the Mechanical Engineering Department for Graduate Level, Kerman Azad University (2014-2017).
Head of the Mechanical Engineering Department, Kerman Azad University (1993-1996).

Prof. Dr. Nassab’s leadership in these roles has contributed significantly to the development of the mechanical engineering programs and research at these institutions.

Research Interests:

Prof. Dr. Nassab’s research spans several key areas of mechanical engineering, with a particular focus on advanced heat transfer mechanisms and renewable energy. His research interests include:

Radiation Heat Transfer
Tribology
Numerical and Analytical Fluid Mechanics and Heat Transfer
Computational Fluid Dynamics (CFD) and Grid Generation
Simulation of Complicated Geometries under Heat and Mass Transfer

His ongoing research explores combined radiation-convection and conduction heat transfer, renewable energy solutions, advanced thermodynamics, and fluid mechanics.

Current Research Titles:

Combined Radiation-Convection and Conduction Heat Transfer
Renewable Energy
Advanced Heat Transfer (Conduction, Convection, and Radiation)
Numerical Radiative Heat Transfer
Advanced Thermodynamics and Fluid Mechanics

Scientific Honors:

Recognized as the Top Researcher of Shahid Bahonar University for three distinct years: 2009, 2011, and 2022.

Author Metrics:

Prof. Dr. Nassab has contributed extensively to the academic literature in his fields of expertise. His research work is highly cited in the domains of radiation heat transfer, CFD, renewable energy, and fluid mechanics, with a significant number of publications in high-impact journals and conferences. His recognition as a top researcher at Shahid Bahonar University highlights the influence of his scholarly contributions in both the academic and research communities.

Top Noted Publication:

Combined Heat Transfer of Radiation and Natural Convection in a Square Cavity Containing Participating Gases

Authors: K Lari, M Baneshi, S.A.G. Nassab, A Komiya, S Maruyama
Journal: International Journal of Heat and Mass Transfer, 54 (23-24), 5087-5099
Citations: 132
Year: 2011
This paper explores the combined heat transfer effects of radiation and natural convection in a square cavity with participating gases, offering insights into multi-mode heat transfer processes.

Turbulent Forced Convection Flow Adjacent to Inclined Forward Step in a Duct

Authors: S.A.G. Nassab, R Moosavi, S.M.H. Sarvari
Journal: International Journal of Thermal Sciences, 48 (7), 1319-1326
Citations: 70
Year: 2009
This research investigates the turbulent forced convection flow in a duct with an inclined forward step, contributing valuable information on fluid dynamics and heat transfer behavior in complex geometries.

Theoretical Analysis of Porous Radiant Burners under 2-D Radiation Field Using Discrete Ordinates Method

Authors: M.M. Keshtkar, S.A.G. Nassab
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer, 110 (17), 1894-1907
Citations: 60
Year: 2009
This paper provides a theoretical analysis of porous radiant burners under two-dimensional radiation fields using the discrete ordinates method, focusing on radiant heat transfer in energy systems.

Three-Dimensional Thermohydrodynamic Analysis of Axially Grooved Journal Bearings

Authors: S.A.G. Nassab, M.S. Moayeri
Journal: Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology
Citations: 49
Year: 2002
This research focuses on the thermohydrodynamic analysis of axially grooved journal bearings, a critical component in mechanical systems involving fluid dynamics and tribology.

A Three-Dimensional Finite Element Analysis of the Effects of Restorative Materials and Post Geometry on Stress Distribution in Mandibular Molar Tooth Restored with Post-Core Crown

Authors: M. Mahmoudi, A. Saidi, S.A.G. Nassab, M.A. Hashemipour
Journal: Dental Materials Journal, 31 (2), 171-179
Citations: 47
Year: 2012
This paper presents a finite element analysis on the stress distribution in restored mandibular molars with post-core crowns, integrating principles of mechanical engineering with dental materials science.

Conclusion:

Prof. Dr. S. A. Gandjalikhan Nassab is a highly qualified candidate for the Best Researcher Award. His extensive experience, strong leadership in mechanical engineering, and impactful research contributions in heat transfer, renewable energy, and fluid dynamics make him a standout in the academic and scientific communities. His research has not only advanced the field of mechanical engineering but also contributed to sustainable energy solutions, addressing global challenges in energy efficiency and optimization.

While there are opportunities to enhance his research’s interdisciplinary scope and foster greater international collaborations, Dr. Nassab’s outstanding academic career, mentorship, and numerous scientific honors reflect his strong standing in the research community. His continued efforts in advancing renewable energy technologies make him a deserving candidate for this prestigious award.

Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

Posted on 15/10/202415/10/2024 by Best Paper Awards

Dr. Zineb Bounoua | Electrical Engineering and Energy | Best Researcher Award

Teacher researcher at Private University of Fez, Macau

Summary:

Dr. Zineb Bounoua is a researcher and academic specializing in renewable energy, with a particular focus on solar radiation modeling and forecasting. She has contributed significantly to the development of innovative methods for estimating and predicting global solar irradiation, utilizing machine learning, artificial neural networks (ANNs), and deep learning approaches. Dr. Bounoua’s work aims to improve the accuracy and reliability of solar energy predictions, which are crucial for optimizing solar power generation.

She has published numerous articles in high-impact journals such as Sustainable Materials and Technologies and Journal of Cleaner Production, where her research explores the use of meteorological data and machine learning techniques for daily and hourly solar irradiation forecasts. Her contributions to solar energy research are recognized globally, with several of her papers being widely cited.

Professional Profile:

👩‍🎓Education:

Doctorate in Electrical Engineering (2016–2021)
University: Sidi Mohammed Ben Abdellah University (USMBA), Faculty of Science and Technology, Fes, Morocco
Laboratory: Intelligent Systems, Geo-resources, and Renewable Energies (SIGER)
Thesis: Estimation and Prediction of Solar Radiation using Machine Learning and Deep Learning Models
Honors: Very Honorable with Jury Congratulations
Summary: Her thesis focuses on analyzing and predicting temporal variations of different solar components (GHI, DHI, and DNI) using machine learning and deep learning techniques, with applications for solar energy management and energy mix strategies.
Master of Science and Technology in Electronics, Signals, and Automated Systems (2014–2016)
University: USMBA, Fes, Morocco
Honors: Good
Bachelor of Science and Technology in Electronics, Telecommunications, and Informatics (2010–2014)
University: USMBA, Fes, Morocco
Honors: Very Good

🏢 Professional Experience:

Assistant Professor (February 2023 – Present)
Institution: Faculty of Engineering Sciences, Private University of Fes (UPF)
Roles:
- Coordinator of Scientific Preparatory Classes (CPS)
- Technical advisor at KUB789, UPF
Adjunct Lecturer (February 2022 – January 2023)
Institution: School of Technology (EST), USMBA
Field: Thermal and Energy Engineering
Adjunct Lecturer (2017–2022)
Institution: Faculty of Science and Technology, USMBA
Field: Electrical Engineering

Teaching Experience

Dr. Bounoua has an extensive teaching portfolio in electrical engineering and renewable energies, including courses on artificial intelligence, control systems, fluid mechanics, and solar power systems at both undergraduate and postgraduate levels. She has supervised numerous student projects and final-year thesis projects in engineering disciplines, especially in renewable energy systems.

Research Interests:

Machine Learning and Deep Learning for Solar Radiation Prediction
Renewable Energy Systems and Energy Mix Optimization
Energy Efficiency and Environmental Monitoring Systems
Intelligent Control Systems and Embedded Systems

Scientific Contributions

Coordinator for two research topics in collaboration with Frontiers journals:
- Smart Systems for Monitoring of Solar Energy Production in Frontiers in Energy Research (Impact Factor: 4.008)
- Techniques and Methods for Modelling and Forecasting: Applications to Energy Efficiency in Buildings, to Solar Energy, and to Air Quality in Frontiers in Built Environment
Peer Reviewer for leading journals:
- Energy Storage Materials (IF: 17.789)
- International Journal of Energy Research (IF: 5.164)
- Energy Sources, Part A (IF: 1.184)
- Frontiers in Energy Research (IF: 4.008)
Member of Scientific Committees for organizing academic conferences and workshops.

Dr. Zineb Bounoua is recognized for her work in bridging advanced machine learning models with practical applications in renewable energy, contributing to the optimization of solar energy production and management strategies.

Top Noted Publication:

Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations

Authors: Z. Bounoua, L. O. Chahidi, A. Mechaqrane
Journal: Sustainable Materials and Technologies (Volume 28, e00261)
Citations: 78
Year: 2021

New daily global solar irradiation estimation model based on automatic selection of input parameters using evolutionary artificial neural networks

Authors: M. Marzouq, Z. Bounoua, H. El Fadili, A. Mechaqrane, K. Zenkouar, et al.
Journal: Journal of Cleaner Production (Volume 209, Pages 1105-1118)
Citations: 49
Year: 2019

Hourly and sub-hourly ahead global horizontal solar irradiation forecasting via a novel deep learning approach: A case study

Authors: Z. Bounoua, A. Mechaqrane
Journal: Sustainable Materials and Technologies (Volume 36, e00599)
Citations: 13
Year: 2023

ANN-based modelling and prediction of daily global solar irradiation using commonly measured meteorological parameters

Authors: M. Marzouq, Z. Bounoua, A. Mechaqrane, H. El Fadili, Z. Lakhliai, K. Zenkouar
Journal: IOP Conference Series: Earth and Environmental Science (Volume 161, Issue 1, Article 012017)
Citations: 13
Year: 2018

Prediction of daily global horizontal solar irradiation using artificial neural networks and commonly measured meteorological parameters

Authors: Z. Bounoua, A. Mechaqrane
Journal: AIP Conference Proceedings (Volume 2056, Issue 1)
Citations: 7
Year: 2018

Conclusion:

Dr. Zineb Bounoua is a highly deserving candidate for the Best Researcher Award. Her pioneering work in solar radiation prediction using machine learning and deep learning, combined with her extensive academic experience, showcases her as a leader in the renewable energy research field. Her contributions to solar energy optimization have the potential to significantly impact the global transition toward sustainable energy solutions.

While there are opportunities for Dr. Bounoua to expand her collaborations and scale her research to a global level, her current research trajectory, leadership, and high-impact publications make her an outstanding candidate for this prestigious award. Her work stands at the intersection of innovation, sustainability, and energy, and she is poised to continue making meaningful contributions to the renewable energy sector.

Yiqiong Du | Agricultural Greenhouse Gas Emission | Best Researcher Award

Posted on 15/10/202415/10/2024 by Best Paper Awards

Ms. Yiqiong Du | Agricultural Greenhouse Gas Emission | Best Researcher Award

Yiqiong Du at Shanxi University China

Summary:

Yiqiong Du is an emerging researcher in the field of ecology, specializing in agricultural greenhouse gas emissions. A Master’s student at Shanxi University, she has contributed to important work on non-CO2 emissions and green development strategies for China’s agricultural sector. With four SCI-indexed publications under her belt, Yiqiong has made significant strides in understanding and mitigating the ecological impacts of agriculture, and her research is set to contribute to sustainable food systems in China. Her passion for innovation has also led her to spearhead an award-winning project for graduate students.

Professional Profile:

Scopus Profile

👩‍🎓Education:

Yiqiong Du is a Master’s student at Shanxi University, where she has pursued coursework in ecology with a focus on agricultural greenhouse gas (GHG) emissions. Her academic excellence has been consistently recognized with first-prize scholarships in 2023 and 2024. Additionally, she has conducted significant research at the Institute of Geographic Sciences and Natural Resources Research, contributing to four SCI-indexed papers, including two as the primary author.

🏢 Professional Experience:

During her research tenure, Yiqiong Du has focused on reducing agricultural non-CO2 emissions and promoting green development. She has authored multiple research papers and contributed to reports on China’s poverty alleviation efforts. As the lead investigator for an innovation project targeted at Shanxi graduates, she gained practical experience in research management. Yiqiong’s research has had a tangible impact, particularly in the assessment of greenhouse gas emissions from both animal husbandry and crop systems. Her experience also includes quantifying emission sources, providing crucial insights for reducing emissions at their source.

Research Interests:

Yiqiong’s research interests revolve around agricultural non-CO2 GHG emissions and strategies for reducing dietary-related emissions. Her work focuses on optimizing agricultural practices to support sustainable development and green growth, with special attention to the ecological and climate impacts of farming practices. Additionally, she has explored dietary greenhouse gas reduction strategies, investigating the protein gap in dietary structures and how adjustments can contribute to a low-carbon agri-food system.

Top Noted Publication:

Title: Optimizing dietary habits for climate benefits in China: Greenhouse gas emissions and sustainable substitution strategies
Authors: Du, Y., Zhao, Z., Zhang, F., Du, Z.
Journal: Sustainable Production and Consumption
Year: 2024
Volume: 51
Pages: 292–302
Title: Structural decomposition analysis of agricultural Non-CO2 greenhouse gas emission intensity in China
Authors: Li, M., Zhang, F., Du, Y., Zhang, M.
Journal: Physics and Chemistry of the Earth
Year: 2024
Volume: 134
DOI: 103581
Title: Agricultural non-CO2 greenhouse gas emissions in the farming-pastoral ecotone of Northern China from crop and livestock systems
Authors: Du, Y., Du, Z., Zhang, F.
Journal: Environmental Impact Assessment Review
Year: 2024
Volume: 106
DOI: 107508
Title: Farm size and greenhouse gas emission: Do large farms in China produce more emissions?
Authors: Zhao, Z., Zhang, F., Du, Y., Cai, Y., Jin, G.
Journal: Agricultural Economics (Czech Republic)
Year: 2024
Volume: 70(3)
Pages: 112–124
Citations: 1

Conclusion:

Ms. Yiqiong Du is an exceptionally promising candidate for the Best Researcher Award, particularly in the field of agricultural greenhouse gas emissions. Her strong academic background, innovative research contributions, and leadership in managing research projects at an early career stage make her a compelling choice. While she can benefit from increased international exposure and further refinement of her research scope, her current trajectory positions her as a significant future leader in sustainable agriculture and climate change mitigation.

Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

Posted on 15/10/202415/10/2024 by Best Paper Awards

Dr. Shreyam Chatterjee | Sustainable Energy Research | Best Researcher Award

Assistant Professor at OSAKA UNIVERSITY / SANKEN, Japan

Summary:

Dr. Shreyam Chatterjee is a Specially Appointed Assistant Professor in the Department of Soft Nanomaterials at ISIR, Osaka University. He received his Ph.D. in Chemistry from the Indian Association for the Cultivation of Science (IACS), Kolkata, under the guidance of Prof. Arun Kumar Nandi. Dr. Chatterjee’s research interests include the development of novel π-conjugated systems for organic semiconductors used in organic electronics, such as organic solar cells (OSCs) and organic field-effect transistors (OFETs). His contributions to the field of organic photovoltaics have resulted in multiple patents and international recognition. He has secured research funding from prestigious institutions like the University College London (UCL) and Osaka University, highlighting his leadership in developing greener organic photovoltaics. Dr. Chatterjee has also been featured in several prominent publications, including the Journal of Materials Chemistry A and Nikkan Kogyo Shimbun.

Professional Profile:

👩‍🎓Education:

Ph.D. in Chemistry (2008-2013): Indian Association for the Cultivation of Science (IACS), Jadavpur, Kolkata, India. Supervised by Prof. Arun Kumar Nandi.
B.Ed. (Bachelor of Education) (2007-2008): The University of Burdwan, First Class.
M.Sc. in Chemistry (2005-2007): The University of Burdwan, First Class.
B.Sc. in Chemistry (2002-2005): Burdwan Raj College, First Class.
Awarded Memorial Prize for highest marks in practicals.

🏢 Professional Experience:

Specially Appointed Assistant Professor, Department of Soft Nanomaterials, ISIR, Osaka University (2021–Present).
- Research collaboration with Prof. Yutaka Ie, focusing on organic semiconductors for applications in organic electronics.
Specially Appointed Assistant Professor, ISIR, Osaka University (2020–2021).
- Selected from Osaka University for continuation in research related to organic photovoltaics.
Specially Appointed Researcher, ISIR, Osaka University (2018–2020).
- Worked under Prof. Yoshito Tobe on developing π-conjugated systems.
Specially Appointed Assistant Professor, ISIR, Osaka University (2017–2018).
- Research on organic semiconductors with Prof. Yoshio Aso.
Specially Appointed Researcher, ISIR, Osaka University (2013–2017).
- Continued research on developing novel organic acceptor materials with Prof. Yoshio Aso.

Research Interests:

Dr. Shreyam Chatterjee’s research focuses on the development of novel π-conjugated systems for use in organic semiconductors in organic electronics, particularly in organic solar cells (OSCs) and organic field-effect transistors (OFETs). His work emphasizes the creation of large-area processable, lightweight, and flexible organic electronic devices. A key aspect of his research involves developing organic acceptor materials compatible with cost-effective, bulk-available donor polymer poly(3-hexyl thiophene) (P3HT). His innovations have led to power conversion efficiencies of around 6.00% and the production of a 1.00-meter OPV-solar module via a roll-to-roll process for practical applications. His research results have been published in highly reputed international journals, and he has produced multiple patents related to organic semiconductors and solar cells.

Selected Achievements and Honors:

2022: Awarded the University College London (UCL)-Osaka University (OU) Strategic Partner Research Fund for “Developing and understanding new materials for even greener organic photovoltaics” (£10,000).
2021: Awarded the UCL-OU Strategic Partner Research Fund for “Development of Novel Materials for Green Organic Photovoltaics” (£10,000).
2021: Featured as an Emerging Investigator in the Journal of Materials Chemistry A.
2021: Guest Editor for the Frontiers in Materials special issue on Innovators in Energy Materials.
2008: Qualified for the National Eligibility Test (NET) (CSIR) and Graduate Aptitude Test in Engineering (GATE).

Author Metrics:

Research Articles: Published in high-impact journals such as Nature Communications, Journal of Materials Chemistry A, and others.
Citations: His work has been widely cited by the scientific community, reflecting the impact of his contributions to organic electronics and photovoltaics.
Patents: Dr. Chatterjee has filed multiple patents for novel organic semiconductor materials and processes

Top Noted Publication:

“Changing the morphology of polyaniline from a nanotube to a flat rectangular nanopipe by polymerizing in the presence of amino-functionalized reduced graphene oxide and its…”

Authors: S. Chatterjee, R.K. Layek, A.K. Nandi
Published in: Carbon, Vol. 52, Pages 509-519, 2013
Citations: 81
Summary: This study focuses on the morphological transformation of polyaniline (PANI) from nanotubes to flat rectangular nanopipes by polymerizing in the presence of amino-functionalized reduced graphene oxide. The work highlights the impact of graphene oxide on the morphological and conductive properties of polyaniline, which could have implications for its use in advanced materials and electronics.

“Nonfullerene acceptors for P3HT-based organic solar cells”

Authors: S. Chatterjee, S. Jinnai, Y. Ie
Published in: Journal of Materials Chemistry A, Vol. 9, Issue 35, Pages 18857-18886, 2021
Citations: 63
Summary: This paper reviews the use of nonfullerene acceptors (NFAs) in P3HT-based organic solar cells, providing an overview of the structural design, synthesis, and performance of these acceptors. It emphasizes the potential of NFAs to improve the efficiency of polymer-based solar cells, which are pivotal for the development of cost-effective and large-area photovoltaic devices.

“Naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐Containing π‐Conjugated Compound: Nonfullerene Electron Acceptor for Organic Photovoltaics”

Authors: S. Chatterjee, Y. Ie, M. Karakawa, Y. Aso
Published in: Advanced Functional Materials, Vol. 26, Issue 8, Pages 1161-1168, 2016
Citations: 57
Summary: This research introduces a novel naphtho[1,2‐c:5,6‐c′]bis[1,2,5]thiadiazole‐based nonfullerene electron acceptor for organic photovoltaics (OPVs). The study investigates the material’s electronic properties and its potential for improving the efficiency and stability of OPVs, highlighting its applicability for next-generation solar energy solutions.

“Nanochannel morphology of polypyrrole–ZnO nanocomposites towards dye sensitized solar cell application”

Authors: S. Chatterjee, A. Shit, A.K. Nandi
Published in: Journal of Materials Chemistry A, Vol. 1, Issue 39, Pages 12302-12309, 2013
Citations: 43
Summary: This study explores the creation of polypyrrole–ZnO nanocomposites with nanochannel morphology, which are applied in dye-sensitized solar cells (DSSCs). The work examines how the unique morphology of these nanocomposites improves their photovoltaic performance and offers insights into the design of efficient DSSCs.

“Dye-sensitized solar cell from polyaniline–ZnS nanotubes and its characterization through impedance spectroscopy”

Authors: A. Shit, S. Chatterjee, A.K. Nandi
Published in: Physical Chemistry Chemical Physics, Vol. 16, Issue 37, Pages 20079-20088, 2014
Citations: 39
Summary: This paper details the fabrication of dye-sensitized solar cells using polyaniline–ZnS nanotubes and investigates their performance through impedance spectroscopy. The research discusses the charge transport and recombination mechanisms within the solar cells, shedding light on improving efficiency in solar energy applications.

Conclusion:

Dr. Shreyam Chatterjee is a highly suitable candidate for the Best Researcher Award, given his exceptional contributions to sustainable energy research through innovative organic electronics. His impactful research, demonstrated through numerous high-impact publications, patents, and international collaborations, positions him as a leader in the field. By further expanding the interdisciplinary reach of his work and increasing his mentorship activities, Dr. Chatterjee can continue to elevate his profile as a pioneering researcher in sustainable energy solutions.