Mohammad Belal | Policy Implications | Best Researcher Award

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Mr. Mohammad Belal | Policy Implications | Best Researcher Award

ย Aalto University | Finland

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Biography of Mr. Mohammad Belal ๐Ÿ‘จโ€๐Ÿ’ป

๐Ÿ‘จโ€๐Ÿ’ป Passionate Data Science & Machine Learning Enthusiast

Mohammad Belal is a driven researcher and technology enthusiast specializing in Data Science, Machine Learning, and Natural Language Processing (NLP). With a keen interest in solving social-centric problems, he is currently pursuing his Doctoral Research at Aalto University in Finland (2023-2027). His academic journey has been marked by a constant desire to understand and leverage data for impactful solutions.

๐ŸŽ“ Education

Mohammad holds a Master’s in Computer Application (MCA) from Aligarh Muslim University (AMU), where he achieved a remarkable CGPA of 9.32 and was among the top 3 in his class. He was awarded the prestigious University Merit Scholarship and actively contributed as a member of the Training and Placement Team. Prior to this, he completed his Bachelorโ€™s in Computer Application (BCA), achieving a CGPA of 7.66 while working on a cab-hiring web application project.

๐Ÿ”ฌ Research Interests and Projects

Mohammad’s research interests revolve around exploring the intersection of technology and society. His ongoing research at Aalto University focuses on the association between internet usage and psychological well-being. He has previously worked on several impactful projects, including a study of social media usage by regional and national journalists with The News Lab at IIITD, and a sentiment analysis project during Colombia’s national strike using NLP techniques. His work on clustering the neighborhoods of Toronto based on cost of living using machine learning is a testament to his practical skills in data science.

๐Ÿ’ผ Professional Experience

his professional career, Mohammad has gained extensive experience in data science and business analysis. As a Data Scientist at TCNS Clothing Ltd., he worked on predictive modeling, sales reporting automation, and data-backed decision-making for marketing and sales. He also worked as a Data Analyst for CraftBazar, where he assisted in generating insights from sales data. Additionally, Mohammad has experience as a Web Developer at The Wings of Desire, where he managed the company website and supported event organization, as well as a Content Creator for UC Browser.

๐Ÿ—ฃ๏ธ Workshops and Conferences

Mohammad has actively participated in various workshops and conferences to stay updated in his field. He attended the Responsible AI for Peace and Security conference organized by the United Nations in 2024 and participated in discussions on the ethics of disruptive technology at IIITD Delhi. He has also attended workshops on Data Science using Python and Cyber Security, further strengthening his skills in these areas.

๐ŸŽ“ MOOCs and Certifications

To further his expertise, Mohammad has earned numerous online certifications in data science and machine learning, including a Data Science Professional Certificate from IBM and Neural Networks and Deep Learning from DeepLearning.AI. He has also completed specialized courses in Statistics for Data Science with Python and Computational Thinking for Problem Solving from Coursera and the University of Pennsylvania.

๐Ÿ† Awards & Achievements

Throughout his academic journey, Mohammad has been recognized for his outstanding performance. He received the Merit-cum-Means Scholarship from the Indian Government for three consecutive years during his Masterโ€™s program. His academic excellence was further acknowledged with a University Merit Scholarship at AMU.

๐Ÿ“š Top Notes Publications

Leveraging ChatGPT as Text Annotation Tool for Sentiment Analysis

    • Authors: M Belal, J She, S Wong

    • Journal: arXiv preprint

    • Year: 2023

Islamophobic Tweet Detection Using Transfer Learning

    • Authors: M Belal, G Ullah, AA Khan

    • Journal: 2022 International Conference on Connected Systems & Intelligence (CSI)

    • Year: 2022

Rapid Face Mask Detection and Person Identification Model Based on Deep Neural Networks

    • Authors: AA Khan, M Belal, G Ullah

    • Journal: International Conference on IoT, Intelligent Computing and Security: Select

    • Year: 2023

Indian Healthcare Infrastructure Analysis During COVID-19 Using Twitter Sentiments

    • Authors: N Fatima, M Belal, K Kumar, R Sadaf

    • Journal: 2022 International Conference on Decision Aid Sciences and Applications

    • Year: 2022

Adapting to Change and Transforming Crisis into Opportunity-Behavioral and Policy Shifts in Sustainable Practices Post-Pandemic

    • Authors: E Zaidan, L Cochrane, M Belal

    • Journal: Heliyon

    • Year: 2025

Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION ๐ŸŒŸ

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS ๐Ÿ”ฌ

Dr. Tianโ€™s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE ๐ŸŒ

Dr. Tianโ€™s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“š

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS ๐Ÿ…

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿ”ฎ

Dr. Tianโ€™s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE โœจ

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tianโ€™s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONSย ๐Ÿ“š

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhรคuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

ย PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

ย Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Weiguo Cao | medical image processing | Best Innovation Award

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Dr. Weiguo Cao | medical image processing | Best Innovation Award

Mayo Clinic | United States

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๐Ÿ‘จโ€๐Ÿ’ป Summary

Dr. Weiguo Cao is a Senior Research Fellow at the Mayo Clinic, specializing in computer vision, machine learning, and medical image processing. With a Ph.D. in Computer Science from the Chinese Academy of Sciences, his research bridges cutting-edge AI technologies with healthcare applications, focusing on diagnostic tools and medical image analysis.

๐ŸŽ“ Education

Dr. Cao completed his Ph.D. in Computer Science at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, in 2011. His dissertation was titled “3D Non-rigid Shape Analysis Technology and their Applications.”

๐Ÿ’ผ Professional Experience

Dr. Cao has held key roles at prestigious institutions. He is currently a Senior Research Fellow at Mayo Clinic (June 2021-present), following his tenure as a Postdoctoral Associate at the State University of New York (2017-2021). Previously, he worked as a Research Scientist at Alibaba Group (2016-2017) and the Institute of Computing Technology, Chinese Academy of Sciences (2011-2016).

๐Ÿ“š Academic Citations

Dr. Cao’s work is widely recognized, with numerous publications in medical imaging, computer vision, and AI. His research outputs have contributed to advancements in medical image segmentation, machine learning algorithms, and deep learning for clinical decision support.

๐Ÿ’ป Technical Skills

Dr. Cao is proficient in Python, C++, MATLAB, and R for programming. His technical expertise spans image processing, including texture and shape analysis, medical image segmentation, and feature extraction. He has deep experience in machine learning, working with models like SVM, Random Forest, CNN, and RNN. Heโ€™s also skilled in software design, system architecture, and using tools like Keras, TensorFlow, PyTorch, and CUDA.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Throughout his career, Dr. Cao has mentored students and researchers, offering expertise in image processing, machine learning, and software development. His contributions to educational projects and research have supported the development of new AI applications in healthcare.

๐Ÿ”ฌ Research Interests

Dr. Caoโ€™s research interests include medical image processing (detection, segmentation, and classification of medical images), machine learning (deep learning models like CNN and RNN for healthcare), pattern recognition, and software design for creating advanced diagnostic tools. His work aims to improve the accuracy and efficiency of clinical decision-making through AI-powered systems.

๐Ÿ“š Top Notes Publicationsย 

3D-GLCM CNN: A 3-dimensional gray-level co-occurrence matrix-based CNN model for polyp classification via CT colonography

    • Authors: J. Tan, Y. Gao, Z. Liang, W. Cao, M.J. Pomeroy, Y. Huo, L. Li, M.A. Barish, …

    • Journal: IEEE Transactions on Medical Imaging

    • Year: 2020

An Investigation of CNN Models for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Datasets

    • Authors: Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng …

    • Journal: Computerized Medical Imaging and Graphics

    • Year: 2019

GLCM-CNN: Gray Level Co-occurrence Matrix Based CNN Model for Polyp Diagnosis

    • Authors: J. Tan, Y. Gao, W. Cao, M. Pomeroy, S. Zhang, Y. Huo, L. Li, Z. Liang

    • Journal: 2019 IEEE EMBS International Conference on Biomedical & Health Informatics

    • Year: 2019

SHRECโ€™08 Entry: 3D Face Recognition Using Moment Invariants

    • Authors: D. Xu, P. Hu, W. Cao, H. Li

    • Journal: IEEE International Conference on Shape Modeling and Applications

    • Year: 2008

Real-Time Accurate 3D Reconstruction Based on Kinect v2

    • Authors: Li Shi-Rui, Li Qi, Li Hai-Yang, Hou Pei-Hong, Cao Wei-Guo, Wang Xiang-Dong, …

    • Journal: Journal of Software

    • Year: 2016

Manjiang Xing | Digital economy | Best Researcher Award

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Prof. Manjiang Xing | Digital economy | Best Researcher Award

Qilu Institute of Technology | China

Publication Profile

Scopus

INTRODUCTION ๐Ÿ‘จโ€๐Ÿซ

Xing Manjiang is a distinguished academic and researcher, holding a Ph.D. and serving as a senior engineer and professor at Qilu Institute of Technology in China. He specializes in fields like Digital Economy, Digital Trade, Smart Cities, Artificial Intelligence, and E-commerce, among others. Xing is a key figure in multidisciplinary research, where his work fuses various technologies and business sectors, demonstrating leadership in both academia and the industry. His contributions span across publishing multiple research papers and securing several patents.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Xing Manjiang’s academic journey began with a Bachelorโ€™s degree in Thermal and Power Engineering from North China University of Science and Technology in 2004. He later pursued a Masterโ€™s degree in Project Management at North China Electric Power University, completing it in 2019. Continuing his commitment to academia, he earned a Ph.D. in International Management (Global Business) from Kyonggi University in 2024. These academic milestones laid the foundation for his diverse contributions in both research and teaching.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

Throughout his career, Xing has held significant roles both in academia and industry. He is currently serving as a Professor at Qilu University of Technology, where he is involved in research and teaching undergraduate courses such as International Economic Cooperation and Introduction to Big Data. In addition to his academic duties, he worked as a Part-time Technical Director & Financial Director at Mingchuang Kehuan (Beijing) Technology Co. from 2021 to 2024. His industry experience includes positions as a Senior Engineer and Technician in several power generation companies, where he gained expertise in equipment management and infrastructure management.

CONTRIBUTIONS AND RESEARCH FOCUS ๐Ÿ’ก

Xing’s research primarily focuses on Digital Economy, Smart Cities, Artificial Intelligence, E-commerce, Regional Economy, and Social Efficiency. He has explored the integration of big data and AI with business strategies, such as in cross-border e-commerce and industry innovation. Xingโ€™s ability to bridge technology with business makes his research especially impactful. Heโ€™s led several key projects, such as the Sichuan Provincial Science and Technology Departmentโ€™s Key R&D Project and the China Association of Business Economics 2024 Planning Project, among others.

IMPACT AND INFLUENCE ๐ŸŒ

Xing’s academic work has made a considerable impact in the fields of digital transformation and economic growth strategies. Through his research, he has contributed to enhancing urban economic efficiency by exploring the potential of smart city development. His insights into digital economy integration and smart energy have been acknowledged in major international journals, helping to advance policies and strategies related to technology and regional economic development. His participation in global trade, economic cooperation, and AI integration has solidified his influence in both academia and industry.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“š

Xing has published numerous influential papers in well-respected journals. Notable among them is his SSCI paper in the International Review of Financial Analysis, titled โ€œDigital Economy, Dual Innovation Capability, and Enterprise Labor Productivityโ€. His papers are widely cited in top journals, and he has authored and co-authored numerous works that deal with economic productivity, smart city models, and innovative technologies. His patents and edited monographs further attest to his significant academic footprint. He has also authored and edited several important papers, contributing to the broader scientific communityโ€™s understanding of digital economies and sustainable development.

HONORS & AWARDS ๐Ÿ…

Xing Manjiang has earned various professional honors throughout his career. He is a Senior Member of the Chinese Society of Technology Economics and serves on expert committees such as the China Association of Trade in Services and the Shandong Green and Low-Carbon Expert Committee. His leadership in innovation and technical advancements in smart energy and green development has earned him recognition from both industry and academia.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿš€

Xingโ€™s legacy is built on his pioneering work in integrating digital economy and smart cities with sustainability. As he continues to contribute to the academic field, he aims to further explore the potential of AI and big data in driving economic transformation. His ongoing projects will continue to shape the way we view technological solutions in business and urban development, ensuring his influence endures in the coming decades.

FINAL NOTE โœจ

With a remarkable career marked by deep academic achievements, innovative contributions, and impactful leadership in multiple sectors, Xing Manjiang has solidified his position as a leading academic and researcher in the fields of digital transformation and international trade. His work continues to shape modern understanding and application of artificial intelligence, big data, and smart technologies, paving the way for future breakthroughs that will undoubtedly benefit both academia and industry.

Top Notes Publicationsย ๐Ÿ“š

Manjiang Xing, Chi Gong, Gyu-Hyen Moon, Xiaohong Ge

    • Title: Digital economy, dual innovation capability and enterprise labor productivity

    • Journal: International Review of Financial Analysis

    • Year: 2025

    • DOI: 10.1016/j.irfa.2025.104005

Manjiang Xing et al.

  • Title: Optimal Scheme Selection Model of Distributed Photovoltaic Consumption in Smart City Based on Gaussian Mixture Model

  • Journal: Journal of Nanoelectronics and Optoelectronics

  • Year: 2024

  • DOI: 10.1166/jno.2024.3575

Manjiang Xing et al.

    • Title: Enhancing urban economic efficiency through smart city development: A focus on sustainable transportation

    • Journal: Computers and Electrical Engineering

    • Year: 2024

    • DOI: 10.1016/j.compeleceng.2023.109058

Xing, Manjiang

    • Title: Power Information System Database Cache Model Based on Deep Machine Learning

    • Journal: Intelligent Automation & Soft Computing

    • Year: 2023

    • DOI: 10.32604/iasc.2023.034750

Manjiang Xing et al.

    • Title: Research on Smart City Competitiveness Model Based on the Integration of Digital Economy and Smart Energy

    • Journal: ๋ฌด์—ญํ†ต์ƒํ•™ํšŒ์ง€ (Korea Citation Index)

    • Year: 2022

    • DOI: 10.29331/JKRAIC.2022.12.22.6.277

Blal Adem Esmail | Sustainable participatory urban planning | Best Researcher Award

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Dr. Blal Adem Esmail | Sustainable participatory urban planning | Best Researcher Award

GLOMOS Center for Global Mountain Safeguard Research, Eurac Research | Italy

PUBLICATION PROFILE

Google Scholar

Orcid

Early Academic Pursuits ๐ŸŽ“

Dr. Blal ADEM ESMAILโ€™s academic journey is deeply rooted in a passion for civil engineering, environmental planning, and sustainable development. His educational path began at the University of Trento, Italy, where he earned his Bachelorโ€™s and Masterโ€™s degrees in Civil Engineering between 2001 and 2009. Building upon this foundation, Dr. Esmail pursued a Ph.D. in Environmental Engineering at the University of Trento from 2013 to 2016. His doctoral research focused on the integration of ecosystem services in watershed management and planning, supervised by Prof. Davide Geneletti. The insights from his Ph.D. thesis have been instrumental in shaping his subsequent work in sustainable urban planning and ecosystem services.

Professional Endeavors and Career Milestones ๐Ÿ’ผ

Dr. Esmailโ€™s professional trajectory highlights significant milestones that underscore his expertise in environmental engineering and urban planning. He is currently a Senior Researcher at the GLOMOS Centre for Global Mountain Safeguard Research, Eurac Research, in Bolzano, Italy, where he continues to contribute to cutting-edge research on ecosystem services and urban sustainability. His previous roles, including a Postdoc Researcher at Ruhr-Universitรคt Bochum, Germany, and research scientist positions at the Royal Institute of Technology (KTH) in Stockholm, Sweden, have further refined his skills in spatial planning and environmental analysis. Additionally, his early experiences as a field engineer and technical manager honed his practical skills in engineering and project management.

Contributions and Research Focus ๐Ÿ”ฌ

Dr. Esmailโ€™s research contributions have had a profound impact on the intersection of urban development and environmental sustainability. His work primarily focuses on nature-based solutions (NBS) for urban planning, with a particular emphasis on integrating green and blue infrastructures to enhance biodiversity, water security, and ecosystem resilience in cities. He has contributed to the development of innovative frameworks for watershed management and planning, aiming to address the challenges posed by climate change, urbanization, and biodiversity loss. His research has also explored the role of cities as both threats to and opportunities for biodiversity conservation, aligning with his broader vision of fostering sustainable urban ecosystems.

Impact and Influence ๐ŸŒ

Dr. Esmailโ€™s research and professional endeavors have had a significant influence on the field of urban sustainability and environmental engineering. His work has been recognized through numerous prestigious awards, including the Seal of Excellence from the European Commission for his Marie Skล‚odowska-Curie Actions research proposals. He has been pivotal in advancing nature-based solutions (NBS) for water security in cities, particularly in regions like sub-Saharan Africa. His collaborative efforts with international research teams and policy-makers have contributed to a deeper understanding of how cities can serve as catalysts for biodiversity conservation and climate resilience.

Academic Cites and Recognition ๐Ÿ“š

Dr. Esmail’s scholarly impact is evident in his wide-ranging publications and citations across various academic platforms. With over 496 citations on Web of Science, 610 on Scopus, and 1193 on Google Scholar, his work is highly regarded in the academic community. His research outputs include 18 peer-reviewed articles, 4 books, and 29 conference contributions, showcasing his extensive contributions to environmental engineering, urban planning, and ecosystem services. His h-index of 9 on Web of Science and 10 on Scopus reflects his sustained influence in these fields.

Technical Skills and Expertise ๐Ÿ”ง

Dr. Esmailโ€™s technical expertise spans a variety of areas, including environmental engineering, spatial planning, ecosystem services, and urban water security. He is proficient in the use of various technical tools and methodologies for assessing and planning green and blue infrastructures, as well as integrating nature-based solutions into urban landscapes. His ability to bridge the gap between scientific research and practical application has made him a valuable asset in collaborative projects aimed at achieving sustainability in urban settings. Additionally, his multilingual proficiency in Italian, English, Tigrigna, Arabic, Amharic, and German further enhances his ability to engage in international research collaborations.

Teaching Experience and Mentorship ๐Ÿ‘จโ€๐Ÿซ

Throughout his academic and professional career, Dr. Esmail has actively contributed to the academic community not only as a researcher but also as a mentor and educator. He has been involved in teaching and supervising students in the fields of environmental engineering, urban planning, and sustainable development. His commitment to fostering the next generation of researchers is reflected in his teaching roles and the supervision of several Ph.D. and Masterโ€™s students. Dr. Esmailโ€™s ability to communicate complex concepts in a relatable manner has made him a sought-after mentor for young professionals and students in his field.

Legacy and Future Contributions ๐ŸŒฑ

Dr. Esmailโ€™s legacy is defined by his innovative approach to urban sustainability and his vision of cities as vital hubs for biodiversity conservation and climate resilience. Looking ahead, his future contributions are poised to shape the next generation of sustainable urban planning strategies. Through his work on nature-based solutions and ecosystem services, he aims to influence policy and planning frameworks at the global level, with particular emphasis on cities in developing regions. His research will continue to focus on developing actionable, cost-effective solutions that promote the coexistence of urban development and environmental preservation.

Prizes, Awards, and Scholarships ๐Ÿ†

Dr. Esmailโ€™s accomplishments have been widely recognized through numerous awards and scholarships. He has received multiple Seal of Excellence awards from the European Commission for his innovative research proposals related to nature-based solutions and water security. Other notable awards include the Eng. Luciano Silveri Award for the best PhD thesis in engineering, the Ito Del Favero Award for his M.Sc. thesis, and the Ecosystem Services in Practice Award. His academic excellence has also been supported by various scholarships, such as the PhD scholarship from the University of Trento and the Erasmus Placement scholarship.

Professional Affiliations and Memberships ๐ŸŒ

Dr. Esmail is a committed member of several prestigious professional organizations, including the Ecosystem Services Partnership (ESP) and the International Association for Landscape Ecology (IALE). His role in these organizations involves contributing to the development of sectorial working groups and engaging in discussions about the future of landscape planning and ecosystem services in urban contexts. His long-standing membership in the Chartered Engineers Association further underscores his dedication to advancing the field of civil and environmental engineering.

Conclusion ๐ŸŒŸ

Dr. Blal ADEM ESMAILโ€™s career has been defined by his commitment to environmental sustainability, his academic rigor, and his collaborative approach to addressing global urban challenges. Through his research, technical expertise, and teaching contributions, he has made a lasting impact on the fields of environmental engineering, urban planning, and ecosystem services. As he continues to lead pioneering research in nature-based solutions, his work will undoubtedly shape the future of sustainable cities and the integration of nature into urban planning.

Top Notes Publications ๐Ÿ“š

Title: Mapping and Analyzing Ecosystem Services Hotspots and Coldspots for Sustainable Spatial Planning in the Greater Asmara Area, Eritrea

Authors: Esmail, Blal Adem; Cortinovis, Chiara; Geneletti, Davide; Inostroza, Luis; Peters, Riccardo; Romelli, Claudia; Schulze, Isabel; Tecle-Misghina, Belula; Teklemariam, Medhane; Wang, Jingxia et al.
Journal: Environmental Management
Year: 2025
DOI: 10.1007/S00267-024-02078-X

Title: Planning for transformative change with nature-based solutions: A geodesign application in Stockholm

Authors: Esmail, Blal Adem; Cortinovis, Chiara; Bast, Sigvard; Anderson, Carl C.; Suleiman, Lina; Arciniegas, Gustavo; Geneletti, Davide; Mortberg, Ulla; Albert, Christian
Journal: Landscape and Urban Planning
Year: 2025
DOI: 10.1016/J.LANDURBPLAN.2025.105303

Title: Boxes of rain: A systematic review on the classes and frameworks of ecosystem disservices

Authors: Carl Cyrus Anderson; Andreas Metzemacher; Blal Adem Esmail
Journal: Ambio
Year: 2025
DOI: 10.1007/s13280-025-02157-1

Title: Geodesign to advance boundary work in urban planning: A study in Stockholm focused on nature-based solutions

Authors: Blal Adem Esmail; Cyrus Carl Anderson; Sigvard Bast; Chiara Cortinovis; Lina Suleiman; Jarumi Kato-Huerta; Johan Hรถgstrรถm; Berit Balfors; Gustavo Arciniegas; Davide Geneletti et al.
Journal: Ambio
Year: 2025
DOI: 10.1007/s13280-024-02083-8

Title: A systematic review of urban ecosystem disservice classification systems and frameworks

Authors: Anderson Carl C; Metzemacher A; Adem Esmail B
Event: 5th ESP Europe Conference – Ecosystem Services: One Planet, One Health; Wageningen
Year: 2024 (Conference)
Other-ID: 5c00625f-db3f-46f8-8ace-3116e4252e99

Hagar K. Hassan | Post lithium ion batteries | Best Researcher Award

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Dr. Hagar K. Hassan | Post lithium ion batteries | Best Researcher Award

Helmholtz Institute Ulm | Germany

PUBLICATION PROFILE

Scopus

๐Ÿ‘ฉโ€๐Ÿ”ฌ Summary

Dr. Hagar K. Hassan is a Senior Electrochemist & Battery Researcher at the Helmholtz Institute of Ulm, Germany, specializing in electrochemical energy conversion, storage, and materials synthesis. With over 10 years of experience, she has led teams, secured competitive funding, and contributed to groundbreaking research in solid-state and quasi-solid-state electrolytes for emerging battery technologies. Dr. Hassan is passionate about advancing sustainable energy storage solutions, mentoring the next generation of researchers, and fostering international collaborations.

๐ŸŽ“ Education

Dr. Hassan holds a Ph.D. in Chemistry from Cairo University (2018), focusing on graphene modified with nanostructured materials for energy storage applications. She also completed her M.Sc. in Chemistry (2012) and B.Sc. in Chemistry (2009) from the same institution, graduating with distinction.

๐Ÿ’ผ Professional Experience

Dr. Hassan is currently the Group Leader of Non-Aqueous & Solid-State Battery Research at Helmholtz Institute Ulm, Germany, and the Karlsruhe Institute of Technology. She supervises a team of Ph.D. and Master’s students, while also securing and managing grants for cutting-edge battery research. Previously, as a Postdoctoral Researcher at Ulm University, she worked on MOF-based solid electrolytes, publishing five peer-reviewed articles. She has also held positions as a Lecturer and Researcher at Cairo University, where she mentored students and published significant work in energy conversion and storage.

๐Ÿ“š Academic Citations

Dr. Hassan has authored over 26 peer-reviewed publications and contributed to four book chapters. Her research work is well-regarded in the fields of electrochemical energy storage and conversion, particularly in the areas of solid-state electrolytes and metal-ion batteries.

๐Ÿ”ง Technical Skills

Dr. Hassan has expertise in a variety of techniques and tools, including X-ray diffraction (XRD), operando optical microscopy, battery management systems (BMS), model-based design for energy systems, and advanced data analysis. Her research focuses on solid-state and quasi-solid-state electrolytes, ionic liquids, and polymer-based ionic conductors for next-generation batteries.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Dr. Hassan has extensive teaching experience, having delivered undergraduate courses in Physical Chemistry and supervised multiple graduate students. She has mentored three Master’s students in electrochemical research projects and is committed to advancing academic knowledge through effective mentorship.

๐Ÿ”ฌ Research Interests

Dr. Hassan’s research interests lie in electrochemical energy storage and next-generation batteries, with a particular focus on solid-state and semi-solid electrolytes for metal-ion batteries. She also explores ionic transport mechanisms, supercapacitors, and electrochemical catalysis for energy conversion applications, with the goal of improving battery performance, safety, and sustainability.

๐Ÿ“š Top Notes Publicationsย 

Effect of Chloride Ions on the Electrochemical Performance of Magnesium Metal-Organic-Frameworks-based Semi-Solid Electrolytes

    • Authors: Mohamed Elnagar, Hagar K. Hassan*, Ludwig A. Kibler, Timo Jacob

    • Journal: Batteries & Supercaps

    • Year: 2025

Boosting Mg Deposition and Dissolution from Ionic Liquids โ€“ The Role of Different Additives for Applications in Mg-ion Batteries

    • Authors: Omar W. Elkhafif, Hagar K. Hassan*, Motahira Hashmi, Nikhil Arya, Montaha Anjass, Timo Jacob

    • Journal: Journal of Energy Storage

    • Year: 2025

Effect of Guest Solvents on the Ionic Conductivity and Electrochemical Performance of Metalโ€Organic Frameworkโ€Based Magnesium Semiโ€Solid Electrolytes

    • Authors: Hagar K. Hassan*, Paul Hoffmann, Timo Jacob

    • Journal: ChemSusChem

    • Year: 2024

Influence of Residual Water Traces on the Electrochemical Performance of Hydrophobic Ionic Liquids for Magnesiumโ€Containing Electrolytes

    • Authors: Omar W. Elkhafif, Hagar K. Hassan, Maximilian U. Ceblin, Attila Farkas, Timo Jacob

    • Journal: ChemSusChem

    • Year: 2023

Mixed Metal-Organic Frameworks as an Efficient Solid Electrolyte for Mg-ion Batteries

    • Authors: Hagar K. Hassan*, Attila Farkas, Alberto Varizi, Timo Jacob

    • Journal: Batteries & Supercaps

    • Year: 2022

Prithi Madhavan | Deep Learning | Best Researcher Award

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Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

PUBLICATION PROFILE

Orcid

Scopus

INTRODUCTION

๐ŸŒŸ MS. PRITHI MADHAVAN is a seasoned educator and researcher with over 12 years of experience in the field of computer applications, specializing in areas such as machine learning, deep learning, and artificial intelligence. With a strong academic background and hands-on experience in teaching, she has played a pivotal role in shaping the future of students through innovative teaching methods. Prithi’s professional journey reflects her dedication to excellence in both academia and technology. She is currently serving as the Head of the Department and Assistant Professor at Marudhar Kesari Jain College for Women, Vaniyambadi, Tamil Nadu.

EARLY ACADEMIC PURSUITS

๐ŸŽ“ MS. PRITHI MADHAVAN embarked on her academic journey with a Bachelor of Computer Applications (BCA) in 2010, followed by a Master of Computer Applications (MCA) in 2013. She later completed her Master of Philosophy (M.Phil) in 2014 and is currently pursuing her Ph.D. in Deep Learning, having submitted her thesis and awaiting the viva. Her academic excellence and passion for learning laid the foundation for her thriving career in higher education and research.

PROFESSIONAL ENDEAVORS

๐Ÿ’ผ WORK EXPERIENCE: With more than 12 years of experience, Prithi has contributed significantly to both teaching and administrative roles. She has been serving as the Head of the Department of Computer Applications and as an Assistant Professor at Marudhar Kesari Jain College for Women since June 2013. Additionally, Prithi has held leadership roles, including serving as the College and Career Coordinator, Board of Studies Member, and acting as a coordinator for various academic and extracurricular programs. She played a vital role in organizing the Smart India Hackathon 2022, where the college team made it to the finals in Sikkim.

CONTRIBUTIONS AND RESEARCH FOCUS

๐Ÿ”ฌ RESEARCH AND INNOVATION: Prithi is deeply involved in research, particularly in machine learning, deep learning, and artificial intelligence. She has contributed to various fields, including retail sector analytics, human resource management systems, and robotics. Her research papers have been published in reputed journals such as Springer, Scopus, and the International Journal of Intelligent Systems and Applications in Engineering. Her works focus on the application of AI in solving real-world problems, including customer information systems, speech emotion recognition, and churn detection in retail industries.

IMPACT AND INFLUENCE

๐ŸŒ ACADEMIC IMPACT: Prithi’s impact as an educator is evident through her commitment to providing quality education and shaping future leaders in the field of computer science. She has mentored over 20 postgraduate (PG) and 15 undergraduate (UG) students’ research projects. Additionally, her involvement in various national and international workshops, seminars, and conferences has allowed her to influence the broader academic community. She is recognized for her exceptional teaching skills, having achieved a perfect score of 100 for six students in her machine learning and AI courses.

ACADEMIC CITATIONS AND PUBLICATIONS

๐Ÿ“š SCHOLARLY WORK: Prithi has a significant presence in the academic world with a number of published papers and books. Her work has been cited in various scholarly journals, and she has an impressive academic record. She has also contributed to books on topics like machine learning, deep learning, and cyber security. Notably, her research on facial recognition and marketing analytics has garnered international attention. Her Google Scholar, ORCID, and Scopus profiles further showcase her contributions to academia.

HONORS & AWARDS

๐Ÿ† ACHIEVEMENTS AND RECOGNITIONS: Prithi has received several accolades throughout her career. Some notable honors include the Best Faculty Award from Educational Excellence Award in 2021, the Excellence Competencies in Education World Award, and the Greater Educator Award from TIP for Education. She was also recognized with the “Kural Semmal Virthu” from the Pasumal Foundation and has been honored by various academic institutions for her contributions to education and research.

LEGACY AND FUTURE CONTRIBUTIONS

๐ŸŒฑ LEADERSHIP AND VISION: Prithiโ€™s future goals involve continuing her research in machine learning and deep learning while mentoring the next generation of computer science professionals. As an innovation ambassador and academic leader, she is dedicated to shaping educational policies and curriculum development that foster growth and creativity. Her leadership within the Institution’s Innovation Council (IIC) has helped the college achieve prestigious awards and recognition for its innovation efforts.

FINAL NOTE

๐Ÿ’ก LOOKING FORWARD: As Prithi continues to shape the future of academia, her efforts are poised to leave a lasting impact on both the educational and technological landscapes. Her commitment to excellence in research, teaching, and innovation will undoubtedly inspire future generations of students and professionals in the field of computer science. Her journey is a testament to her passion for education, innovation, and making a difference in the world of academia and beyond.

ย TOP NOTES PUBLICATIONSย 

Utilizing Machine Learning for Speech Emotion Recognition

    • Authors: Prithi, M.; Sankari, M.; Shinde, J.P.; Kumar, R.; Deepak, A.; Pokhariya, H.S.; Shrivastava, A.

    • Journal: International Journal of Intelligent Systems and Applications in Engineering

    • Year: 2024

Churn Detection Using Machine Learning in the Retail Industry

    • Authors: Prithi Madhavan; K. Tamizharasi

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Revolutionizing Retail: Machine Learning Applications for Enhanced Customer Experience and Operational Efficiency

    • Authors: Prithi M; Tamizharasi K

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

Using Artificial Intelligence and Deep Learning Methods to Analyze the Marketing Analytics and Its Impact on Human Resource Management Systems

    • Authors: Gambhir, V.; Asnate-Salazar, E.; Prithi, M.; Alvarado-Tolentino, J.; Tongkachok, K.

    • Journal: Communications in Computer and Information Science

    • Year: 2022

 

Snehal Laddha | Medical Image Analysis | Best Researcher Award

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Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION ๐ŸŒŸ

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS ๐Ÿ“š

Snehalโ€™s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS ๐Ÿ‘ฉโ€๐Ÿซ

Snehalโ€™s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON MEDICAL IMAGE ANALYSIS๐Ÿ’ก

A passionate researcher, Snehalโ€™s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE ๐ŸŒ

Snehalโ€™s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“‘

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS ๐Ÿ†

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS ๐ŸŒฑ

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE โœจ

Ms. Snehal Laddhaโ€™s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS ๐Ÿ“š

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Amjad Abu ELSamen | marketing | Best Scholar Award

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Prof. Amjad Abu ELSamen | marketing | Best Scholar Award

Zayed University | United Arab Emirates

Publication Profile

Scopus
Google Scholar

INTRODUCTION ๐Ÿ“š

Amjad Abu-Elsamen, PhD, is a distinguished academic and professional in the fields of marketing, predictive modeling, and data mining, based in Abu Dhabi, UAE. With a career that spans over two decades, Dr. Abu-Elsamen has made significant contributions to academia and consultancy, blending his expertise in business strategy, data analytics, and marketing. His passion for continuous learning and his unwavering dedication to professional growth have earned him recognition and numerous accolades in both his academic and practical endeavors.

EARLY ACADEMIC PURSUITS ๐ŸŽ“

Dr. Abu-Elsamen’s academic journey began with his undergraduate studies in Business Administration at the University of Jordan, where he earned his Bachelorโ€™s degree in 2000. He went on to pursue his Master of Business Administration (MBA) at the University of Jordan, completing it in 2003. Following this, he advanced his studies by earning a PhD in Business Administration from Oklahoma State University in 2009. During his academic pursuits, he developed a keen interest in predictive modeling, data mining, and their applications in marketing strategies.

PROFESSIONAL ENDEAVORS ๐Ÿ’ผ

Dr. Abu-Elsamen’s professional career reflects his commitment to education, research, and industry consultancy. He has served as a Professor of Marketing at Zayed University since 2019, with prior roles such as the Associate Professor of Marketing and Graduate Programs Director. His extensive experience as a department chair in various academic institutions, including Zayed University and the University of Jordan, highlights his leadership skills and dedication to curriculum development and accreditation. Dr. Abu-Elsamenโ€™s industry work is equally impressive, with significant consultancy contributions for major corporations in the UAE and Jordan, including Etihad Airways, Marina Mall, and Al-Ain Distribution Company.

CONTRIBUTIONS AND RESEARCH FOCUSย  ON MARKETING๐Ÿ”ฌ

Dr. Abu-Elsamen’s research interests lie primarily in marketing strategy, data mining, and predictive modeling. He has published numerous studies on topics such as customer satisfaction measurement, brand management, and the use of advanced analytics in decision-making processes. His research contributions also extend to the design of business programs and the development of new marketing techniques that combine traditional strategies with innovative data-driven insights. Additionally, he has provided key guidance on curriculum redesign and development, particularly in graduate programs, ensuring that they remain aligned with global standards and market needs.

IMPACT AND INFLUENCE ๐ŸŒ

Dr. Abu-Elsamenโ€™s influence extends beyond his teaching and research contributions. He has been instrumental in shaping the business education landscape in the UAE and Jordan, particularly in the areas of business analytics and marketing strategy. His leadership in developing the Business Analytics Certification Program, the first of its kind in the Middle East, showcases his dedication to advancing education in this critical field. Furthermore, his active participation in committees and task forces within his institutions, including the revision of faculty promotion guidelines and mentorship programs, highlights his commitment to enhancing academic standards and faculty development.

ACADEMIC CITATIONS AND PUBLICATIONS ๐Ÿ“

Dr. Abu-Elsamen has contributed widely to academic journals, conferences, and industry reports. His work has been recognized internationally, with notable citations in the areas of marketing research, customer satisfaction, and data mining techniques. Some of his well-known publications include studies on structural equation modeling, segmentation analysis, and the use of conjoint analysis in new product development. His published research continues to shape contemporary marketing and data analytics practices.

HONORS & AWARDS ๐Ÿ…

Dr. Abu-Elsamenโ€™s exceptional academic and professional achievements have earned him several prestigious honors, including:

  • Best Paper Award, ACME Conference (2011)
  • Second Best Model Building Award, Data Mining Shootout (2008)
  • Recognition for his leadership in business analytics and marketing strategy across multiple universities and consultancy projects.

FINAL NOTE โœจ

Dr. Amjad Abu-Elsamen’s career is a testament to the power of perseverance, innovation, and academic excellence. Through his dedication to both teaching and consultancy, he has made significant strides in reshaping business education, particularly in the realms of marketing, data mining, and analytics. His passion for knowledge and growth continues to inspire both students and professionals in the Middle East and beyond.

LEGACY AND FUTURE CONTRIBUTIONS ๐Ÿ”ฎ

Looking to the future, Dr. Abu-Elsamen aims to further elevate business education and consultancy in the UAE and globally. He plans to continue his research into advanced data mining techniques and their applications in marketing strategy, with a particular focus on predictive analytics and artificial intelligence. His ongoing work promises to impact future generations of students and professionals, continuing to drive innovation and excellence in the field.

TOP NOTES PUBLICATIONS ๐Ÿ“š

Modelling the impact of 3D product presentation on online behaviour
    • Authors: RS Algharabat, AA Abu-ElSamen
    • Journal: International Journal of Electronic Marketing and Retailing
    • Year: 2013
      ๐Ÿ–ฅ๏ธ๐Ÿ“ฆ๐Ÿ‘€๐Ÿ“Š
Examining the Construct Validity of the Lockwood Goal Orientation Scale Using the General Hierarchal Model: An Exploratory Study
    • Author: A Abu ELSamen
    • Journal: Academy of Marketing Science Annual Conference
    • Year: 2010
      ๐ŸŽฏ๐Ÿ“š๐Ÿ“Š
An empirical model of mobile shopping attitudes and intentions in an emerging market
    • Authors: MN Akroush, B Mahadin, AA ElSamen, A Shoter
    • Journal: International Journal of Web Based Communities
    • Year: 2020
      ๐Ÿ“ฑ๐Ÿ›’๐ŸŒ๐Ÿ’ญ
An empirical model of customer service quality and customer loyalty in an international electronics company
    • Authors: AA Abu-ELSamen, MN Akroush, AL Al-Sayed, HJ Hasan
    • Journal: International Journal of Electronic Business
    • Year: 2012
      ๐Ÿ’ผ๐Ÿ’ก๐Ÿค๐Ÿ“Š
Conceptualisation and development of customer service skills scale: an investigation of Jordanian customers
    • Authors: MN Akroush, AA Abu-ElSamen, MS Al-Shibly, FM Al-Khawaldeh
    • Journal: International Journal of Mobile Communications
    • Year: 2010
      ๐Ÿ“ฑ๐Ÿ’ฌ๐Ÿ’ก๐ŸŒ
Fintech and contactless payment: help or hindrance? The role of invasion of privacy and information disclosure
    • Authors: AA Alalwan, AM Baabdullah, MM Al-Debei, R Raman, HK Alhitmi, …
    • Journal: International Journal of Bank Marketing
    • Year: 2024
      ๐Ÿ’ณ๐Ÿ”’๐Ÿ’ก๐Ÿ”