Manar Hamza | Computer Science Data mining | Best Researcher Award

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Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

ROHINI SURADKAR | Computational Chemistry | Best Researcher Award

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Ms. ROHINI SURADKAR | Computational Chemistry | Best Researcher Award

STUDENT at Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

Ms. Rohini R. Suradkar is a passionate Chemistry professional with over 2.5 years of research experience in inorganic and computational chemistry. Currently a Ph.D. scholar at Dr. Babasaheb Ambedkar Marathwada University, she specializes in the synthesis and computational study of imidazole derivatives, with a strong focus on greener organic synthesis and metal-organic frameworks. Known for her strong interpersonal and communication skills, Ms. Suradkar is adept at working independently to achieve key research goals. Her dedication to academic excellence is evident through her publications, presentations, and continuous pursuit of knowledge in the chemistry field.

Publication Profile

scholar

Education🎓

Ph.D. (Chemistry) (2021-Present): Dr. Babasaheb Ambedkar Marathwada University, focusing on “Synthesis, Characterization, and Density Functional Theoretical Study of Imidazole Derivatives.” M.Sc. (Chemistry) (2015-2017): Dr. Babasaheb Ambedkar Marathwada University; scored 64.50%. B.Sc. (Chemistry) (2012-2015): Lal Bahadur Shastri College, Jalna, with 81.08%.Higher Secondary Certificate (HSC): Jawahar Navodaya Vidyalaya, Partur, scored 69.64%. Secondary School Certificate (SSC): Jawahar Navodaya Vidyalaya, Partur, scored 76.08%. Ms. Suradkar has also obtained notable certifications in computational and industrial chemistry, enriching her theoretical and practical knowledge base.

Experience🔬 

Predoctoral Research: Ms. Suradkar completed a significant project on “p-TSA catalyzed one-pot synthesis of 1,3,5-trisubstituted pyrazole” as part of her M.Sc. degree. Research Scholar: Actively involved in advanced studies and hands-on lab work at Dr. Babasaheb Ambedkar Marathwada University. Presentations & Conferences: Ms. Suradkar has presented posters at prominent conferences like I-MAT 2024 at IIT Roorkee and the GOLD-CT-2024 conference at Kavayitri Bahinabai Chaudhari North Maharashtra University, showcasing her findings and expanding her academic network.

Awards and Honors🏆

Dr. Babasaheb Ambedkar National Research Fellowship (BANRF)-2021 Certificates: Green Olympiad 2009, Intel Learn Program, and NTSE (MH rank 96). Workshops & Conferences: Attended workshops on computational chemistry and material science at renowned institutes such as ICT Mumbai, C-DAC Pune, and IIT Roorkee. Notable Achievements: Ms. Suradkar’s research presentations and poster sessions have gained attention in the field, underscoring her commitment to sustainable chemical sciences and green synthesis practices.

Research Focus🔍 

Imidazole Derivatives: Synthesizing and characterizing imidazole molecules with advanced density functional theory (DFT) studies. Green Chemistry: Research on eco-friendly synthesis methods, focusing on metal-organic frameworks and fluorescence analysis.  Computational Chemistry: Utilizes Gaussian 09 software for complex molecular modeling and computational analysis. Greener Synthesis: Committed to developing sustainable methods for chemical synthesis, especially using Lewis acid catalysis and solvent-free approaches.  Publications: Published impactful papers on novel imidazole-based derivatives and eco-friendly pyrazolopyrano pyrimidine synthesis, reflecting her dedication to innovative, sustainable chemistry.

Publication  Top Notes

Synthesis, Characterization, and Computational Analysis of Novel Imidazole-Based Derivative with Tailored Electronic Properties
Authors: R.R. Suradkar, D.P. Gholap, A.V. Belambe, M.K. Lande
Journal: Journal of Photochemistry and Photobiology A: Chemistry, Volume 458, Article 115987
Year: 2025

Synthesis of Pyrazolopyrano Pyrimidines via One-Pot Solvent-Free Greener Approach Utilizing Lanthanum Trifluoroacetate and Trichloroacetate Lewis Acids Supported on Mesoporous Silica
Authors: D.P. Gholap, R. Suradkar, R. Huse, M.K. Lande
Journal: Polyhedron, Article 117273
Year: 2025

Conclusion

Ms. Rohini Ramesh Suradkar is a highly suitable candidate for the Best Researcher Award. Her solid academic foundation, focus on sustainable and computational chemistry, and proven publication record establish her as a promising scientist with a commitment to advancing knowledge in inorganic chemistry. She has demonstrated a strong grasp of modern chemical synthesis and theoretical studies, which, combined with her technical skills and continuous professional development, mark her as an outstanding researcher with considerable potential for further accomplishments in her field.

Dr. Yong Wang | computational Award | Best Researcher Award

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Dr. Yong Wang | computational Award | Best Researcher Award

Dr. Yong Wang, Zhejiang University, China

Dr. Yong Wang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

orcid

🎓 Teaching and Tutoring

Jury for International Biosensor Competition: SensUs 2023 (2023)Supervisor for TruSense, Zhejiang University (2021-)Teacher for Ingenious Synthetic Biology, Zhejiang University (2022-)Teaching Assistant for Advanced Protein Science 2 – Protein Structure Determination (graduate course), University of Copenhagen (2020, 2019)Teaching Assistant for Advanced Protein Science (graduate course), University of Copenhagen (2015)Tutor for Postdoc, PhD, MSc, and BSc students.

📝 Editorial Roles

Academic Editor for PLoS One (2023-)Associate Editor for Frontiers in Molecular Biosciences (2021-)Editorial Board Member of Peer J (2023-)Ad Hoc Young Editorial Board Member of Journal of Molecular Cell Biology (JMCB) (2020-)Second Youth Editorial Board Member of Asian Journal of Pharmaceutical Sciences (2023-)

🔍 Reviewer

Journal Reviewer for prestigious journals.Grant Reviewer for the Dutch Research Council (NWO) Computational Grants.

👥 Memberships

Member of the PLUMED ConsortiumMember of the American Society for Biochemistry and Molecular BiologyMember of Chinese Chemical Society

AWARDS & GRANTS🏆

Recognition for contributions:Zhejiang Provincial National Science Foundation (No. XXX) (300 K ¥) 2024-2026National Science Foundation of China (No. 32371300) (500 K ¥) 2024-2027Start-up funding of Zhejiang University (4.0 M ¥) 2021-2027National Key R & D Program of China (No. 2021YFF1200404) (4.55 M ¥) 2021-2024Fundamental Research Funds for the Central Universities of China (No. K20220228) (900 K ¥) 2022-2024HPC-Europa3 Transnational Access program for visiting Max Planck Institute for Biophysical Chemistry Spring of 2020EMBO Short-term Fellowship for visiting Prof. Michele Parrinello lab at ETH Zurich, Switzerland Spring of 2016The PhD Scholarship at the Department of Biology, University of Copenhagen (2013-2016)

Citations: 1547

h-index: 23

i10-index: 31

And if we consider the second set:

Citations: 1074

h-index: 21

i10-index: 30

📖 Publications  Top Note :

A Computational and Chemical Design Strategy for Manipulating Glycan-Protein Recognition

Q Zhu, D Geng, J Li, J Zhang, H Sun, Z Fan, J He, N Hao, Y Tian, L Wen, …

Advanced Science, 2024

Diverse roles of the metal binding domains and transport mechanism of copper transporting P-type ATPases

Z Guo, F Orädd, V Bågenholm, C Grønberg, JF Ma, P Ott, Y Wang, …

Nature Communications, 2609, 2024

Dissecting the mechanism of atlastin-mediated homotypic membrane fusion at the single-molecule level

L Shi, C Yang, M Zhang, K Li, K Wang, L Jiao, R Liu, Y Wang, M Li, …

Nature Communications, 2488, 2024

Euglena’s atypical respiratory chain adapts to the discoidal cristae and flexible metabolism

Z He, M Wu, H Tian, L Wang, Y Hu, F Han, J Zhou, Y Wang, L Zhou

Nature Communications, 1628, 2024

Structures and ion transport mechanisms of plant high-affinity potassium transporters

J Wang, Y Luo, F Ye, ZJ Ding, SJ Zheng, S Qiao, Y Wang, J Guo, W Yang, …

Molecular Plant, 2024

Structural basis for sugar perception by Drosophila gustatory receptors

D Ma, M Hu, X Yang, Q Liu, F Ye, W Cai, Y Wang, X Xu, S Chang, R Wang, …

Science, eadj2609, 2024

PAFAH2 suppresses synchronized ferroptosis to ameliorate acute kidney injury

Q Zhang, T Sun, F Yu, W Liu, J Gao, J Chen, H Zheng, J Liu, C Miao, …

Nature Chemical Biology, 1-12, 2024

Structure and mechanism of Zorya anti-phage defense system

H Hu, TCD Hughes, PF Popp, A Roa-Eguiara, FJO Martin, N Rutbeek, …

bioRxiv, 1, 2024

The effect of linker conformation on performance and stability of a two-domain lytic polysaccharide monooxygenase

Z Forsberg, AA Stepnov, G Tesei, Y Wang, E Buchinger, SK Kristiansen, …

Journal of Biological Chemistry, 299 (11), 2023

Ex vivo structures from spinach leaves

J Wang, NT Johansen, LF Gamon, Z Zhao, Z Guo, Y Wang, AT Fuglsang, …

biorxiv, 2023