Abdul Hakeem Anwer | Environmental Data Analysis | Best Researcher Award

Dr. Abdul Hakeem Anwer | Environmental Data Analysis | Best Researcher Award

Qatar University | Qatar

Abdul Hakeem Anwer is a dedicated researcher in the fields of electrocatalytic reduction, nanomaterials, and sustainable energy systems. His career reflects a strong commitment to advancing scientific innovation, particularly in developing efficient solutions for carbon dioxide reduction, wastewater treatment, supercapacitors, and microbial fuel cells. With a proven record of research excellence and international collaboration, he has established himself as a promising scientist in chemistry and materials science.

Professional Profiles

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Education

He pursued his academic journey at Aligarh Muslim University, India, where he completed his Bachelor’s, Master’s, and Doctorate in Industrial Chemistry and Chemistry. His Ph.D. research focused on bioproduct formation using bioelectrochemical systems, laying the foundation for his later work on advanced nanomaterials and electrocatalysis. His academic training equipped him with strong experimental, analytical, and problem-solving skills to address pressing global challenges in energy and environmental sciences.

Experience

Abdul Hakeem has worked as a Postdoctoral Fellow at Qatar University, where his research centers on electrocatalytic CO2 reduction and advanced nanomaterials, alongside mentoring graduate students. Previously, he served at Yeungnam University, South Korea, collaborating with multidisciplinary teams to push forward energy and environmental projects. Before these international engagements, he contributed as a Senior Research Fellow at IIT Delhi and as a Research Assistant at AMU, where he worked on materials development for microbial fuel cells and energy storage applications. His early industrial experience as a chemist in a food products company gave him practical insights into applied chemistry and quality assessment, broadening his professional expertise.

Research Interests

His research spans electrocatalysis, advanced nanomaterials, CO2 reduction technologies, microbial fuel cells, photocatalysis, and supercapacitors. He is particularly focused on developing hybrid materials, metal-organic frameworks (MOFs), and nanostructures for energy harvesting, wastewater remediation, and pollutant degradation. His scientific contributions highlight innovative pathways to sustainable energy, environmental remediation, and the circular economy, aligning with global needs for clean technologies and green energy solutions.

Awards

Abdul Hakeem’s scientific excellence has been recognized through multiple awards and travel grants. He received support from the European Molecular Biology Laboratory (EMBL) to present at the Global CO2 Challenge in Germany and was granted the Trans-YTF fellowship by the Federation of European Biochemical Societies (FEBS) to participate in an advanced lecture course in Greece. Additionally, he secured a Council of Science and Technology fellowship in India, underscoring his contributions to funded research projects. His achievements reflect both his international standing and his ability to contribute meaningfully to collaborative scientific networks.

Publications

Mashkoor, F., Mashkoor, R., Shoeb, M., Anwer, A.H., Ansari, M.Z., & Jeong, C. (2023). A smart recycling solution: WS₂-halloysite nanocomposite for heavy metals remediation from wastewater and postliminar application in electrochemical supercapacitor for energy storage. Applied Clay Science.

Mahmoud, K.H., Alsubaie, A.S., Anwer, A.H., & Ansari, M.Z. (2023). Comparative Analysis of Perovskite Solar Cells for Obtaining a Higher Efficiency Using a Numerical Approach. Micromachines, 14(6), 1127.

Mashkoor, F., Mashkoor, R., Shoeb, M., Anwer, A.H., Jeong, H., & Jeong, C. (2023). Freestanding WS₂-MWCNT Nanocomposite for Electrochemical Detection of Contaminants of Emerging Concern—Perfluorooctanoic Acid “A Forever Chemical” and Supercapacitor Applications. ACS Sustainable Chemistry & Engineering, 11(32), 11842–11854.

Waris, Anwer, A.H., & Khan, M.Z. (2023). Graphene quantum dots for clean energy solutions. In Graphene Quantum Dots: Biomedical and Environmental Sustainability Applications (pp. 65–88). Elsevier.

Ahmad, N., Bano, D., Jabeen, S., Ahmad, N., Iqbal, A., Waris, Anwer, A.H., & Jeong, C. (2023). Insight into the adsorption thermodynamics, kinetics, and photocatalytic studies of polyaniline/SnS₂ nanocomposite for dye removal. Journal of Hazardous Materials Advances, 9, 100321.

Conclusion

Through his academic journey, international experience, and impactful research, Abdul Hakeem Anwer has emerged as a forward-looking scientist dedicated to solving complex challenges in energy and environmental chemistry. His work on nanomaterials, electrocatalysis, and bioelectrochemical systems continues to inspire sustainable innovation and global collaboration. With a growing portfolio of high-impact publications, book chapters, and a granted patent, he remains committed to advancing clean energy solutions and eco-efficient technologies for the future.

Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

Dr. Haoyue Fan | Healthcare Data Analysis | Best Researcher Award

Dr. Haoyue Fan | Healthcare Data Analysis – Beijing Institute of Technology | China

Dr. Haoyue Fan is a dedicated researcher and Ph.D. candidate at the School of Management and Economics, Beijing Institute of Technology (BIT). With a multidisciplinary background in information management, engineering, and management science, Dr. Fan explores the intersection of online platforms, IT artifacts, health management, and operations. Her work uniquely blends data-driven technologies and social science, exemplified by her deep learning research on mental health and user behavior. Dr. Fan has published in top-tier journals such as Information & Management, Expert Systems with Applications, and Annals of Operations Research. Her intellectual rigor extends beyond academia, with involvement in national and international research projects supported by the National Natural Science Foundation of China. Passionate about innovation and social impact, she has also contributed to patented technologies in healthcare and AI applications. Dr. Fan is recognized for her leadership and excellence as a top graduate, earning national scholarships and research accolades.

Professional Profile

SCOPUS

Education 

Dr. Haoyue Fan’s academic journey reflects her interdisciplinary approach and academic excellence. She is currently pursuing her Ph.D. in Management Engineering at the Beijing Institute of Technology (2021–Present), where her research focuses on online health platforms and intelligent systems. She completed her MSc in Management Science and Engineering at Beijing University of Chemical Technology (2018–2021). Her thesis and projects during this period addressed challenges in digital healthcare and operational intelligence. Prior to that, Dr. Fan earned a BSc in Information Management from Beijing Language and Culture University (2014–2018), laying the foundation in data processing, systems thinking, and digital infrastructure. Across all degrees, she maintained an outstanding academic record and was honored with multiple awards for excellence in scholarship and leadership. Her academic path reflects a coherent evolution from data and systems to human-centric AI applications in management and healthcare.

Professional Experience 

Dr. Haoyue Fan’s professional trajectory has been deeply rooted in academic research and collaborative innovation. As a Ph.D. researcher at Beijing Institute of Technology, she actively contributes to national-level projects focusing on AI, mental health monitoring, and intelligent systems for public health. Her role has involved deep learning model development, data analysis, and system design, particularly within mobile health environments. Previously, as a master’s student, she contributed to applied research in staff scheduling optimization and peer behavior in online health communities, producing tangible outcomes including patents and conference papers. Dr. Fan has presented at leading conferences like PACIS, INFORMS CIST, and ICC, showcasing her ability to translate complex models into real-world solutions. Her research experience also spans topics such as AI coaching, IT artifact interaction, and hybrid neural models. She has proven capabilities in interdisciplinary teamwork, research execution, and academic leadership, underpinned by her consistent publication record.

Awards and Recognition 

Dr. Haoyue Fan has been recognized for her academic excellence, leadership, and research contributions throughout her academic career. She received the prestigious National Scholarship and the Special Prize Scholarship in 2020, underscoring her status as one of China’s top graduate students. Her Master’s thesis was awarded as Outstanding, and she was named a Beijing Excellent Graduate in 2021. She also earned titles such as Outstanding Student Leader and Excellent School Student, highlighting both her academic and extracurricular leadership. Her research contributions have led to national patents and presentations at premier conferences, showcasing her innovation in health informatics and operational systems. These awards reflect her diligence, originality, and commitment to research with real-world impact. As a scholar consistently ranked at the top of her cohort, Dr. Fan’s accolades represent both peer and institutional recognition of her academic leadership and future potential in management science and technology.

Research Skills 

Dr. Haoyue Fan possesses a rich skillset at the intersection of AI, management engineering, and health informatics. Her core competencies include deep learning, graph-based neural networks, XGBoost, and ensemble machine learning methods, which she applies in predictive analytics and decision-support systems. She has advanced expertise in IT artifact design, health platform behavior analysis, and operations research, especially in complex problem domains like staff scheduling and mental health detection. Dr. Fan is proficient in processing large-scale datasets, designing intervention systems, and conducting cross-disciplinary research within m-health and online communities. She is also experienced in system prototyping, model evaluation, and qualitative behavioral analysis. Her participation in national-level projects has refined her abilities in project management, team collaboration, and data privacy. Her research demonstrates a unique ability to integrate computational rigor with user-centered design, aiming to drive positive outcomes in digital health and public service optimization.

Publications

🤖 Suicide Risk Prediction for Users with Depression in Question Answering Communities: A Design Based on Deep LearningInformation & Management, 2025
👩‍⚕️ Exploring the Peer Effect of Physicians’ and Patients’ Participation Behavior: Evidence from Online Health CommunitiesIJERPH, 2022
🧠 A Two-Stage Hybrid Credit Default Evaluation Model Using XGBoost and Graph-Based Deep Neural NetworkExpert Systems with Applications, 2022
🩸 Staff Scheduling in Blood Collection ProblemsAnnals of Operations Research, 2020