Yanxia Jin | Genetics | Best Scholar Award

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Yanxia Jin | Genetics | Best Scholar Award

Associate Professor at Hubei Normal University, China.

Dr. Yanxia Jin is a distinguished associate professor at Hubei Normal University, specializing in biomedical sciences, particularly in cancer treatment and tumorigenesis. Known for her dedication to both research and teaching, she actively mentors graduate students, fostering their growth in life sciences. Her work has received significant recognition through various prestigious awards and honors. Dr. Jin has contributed extensively to the field with over 38 SCI-indexed publications, including numerous first-author and corresponding author roles. Her leadership in high-impact research and commitment to academic excellence make her a valuable asset to the scientific and academic communities.

Publication Profile

Scopus

Educational Background

Dr. Jin has a robust academic foundation in biomedical sciences, which she has furthered through postdoctoral research at prominent institutions. Her postdoctoral studies at Zhongnan Hospital of Wuhan University and Hong Kong Baptist University allowed her to specialize in clinical medicine and traditional Chinese pharmacy. Her educational background has equipped her with a unique blend of interdisciplinary knowledge that she has applied throughout her research and teaching career. This solid academic and research training has set the groundwork for her impactful contributions to cancer research and the life sciences.

Experience

With years of experience as an academic mentor and researcher, Dr. Jin has become a pivotal figure at Hubei Normal University. She has not only led critical projects as Principal Investigator but also collaborated on nationally funded initiatives, such as those supported by the National Natural Science Foundation of China (NSFC) and the Hubei Province Natural Science Foundation. Her experience spans research project management, scientific publication, and graduate mentorship. Her work has established her as a leading expert in her field, contributing to advancements in cancer treatment and biomedical sciences.

Research Focus

Dr. Jin’s research focuses on understanding tumorigenesis and developing innovative cancer treatment approaches. Her work with selenium nanocomposites, biomarker identification, and anti-tumor compounds has shown promise in targeting lung cancer and leukemia. This specialization in molecular oncology and nanomedicine underlines her commitment to addressing pressing health challenges. Dr. Jin’s studies are driven by a goal to translate foundational research into clinical applications, reflecting her dedication to advancing treatment options and improving patient outcomes in oncology.

Awards and honors

Dr. Jin has received several notable awards, including recognition as both a Chutian Scholar and a Hong Kong Scholar, celebrating her contributions to biomedical research and education. Her accomplishments are further highlighted by her leadership in prestigious research projects funded by major foundations. These accolades underscore her dedication to her field and her impact on cancer research and biomedical sciences. Dr. Jin’s honors not only mark her as a researcher of high repute but also as a dedicated educator who inspires the next generation of scientists.

Conclusion

Dr. Yanxia Jin’s exemplary achievements, including her high-impact research, significant grant funding, and dedication to mentorship, make her an exceptional candidate for the Best Scholar Award. Her work on innovative cancer treatments and biomarkers exemplifies her commitment to addressing complex health challenges. With her ongoing dedication to expanding her research and mentorship, Dr. Jin is well-suited to receive this award, embodying both excellence in scholarship and significant contributions to the field of life sciences.

Publication Top Notes

Title: A novel selenium nanocomposite modified by AANL inhibits tumor growth by upregulating CLK2 in lung cancer
Authors: Zhang, Y., Chen, Y., Wang, B., Pan, J., Jin, Y.
Year: 2024
Citations: 0

Title: A diagnostic biomarker of acid glycoprotein 1 for distinguishing malignant from benign pulmonary lesions
Authors: Chen, Y., Zhang, Y., Huang, A., Pan, J., Jin, Y.
Year: 2023
Citations: 0

Title: Preparation and usage of nanomaterials in biomedicine
Authors: Zhang, Y., Ai, L., Gong, Y., Jin, Y.
Year: 2023
Citations: 3

Title: Overexpression of SERPINA3 suppresses tumor progression by modulating SPOP/NF-ΞΊB in lung cancer
Authors: Jin, Y., Zhang, Y., Huang, A., Wang, W., Pan, J.
Year: 2023
Citations: 3

Title: Alpha-1-antichymotrypsin as a novel biomarker for diagnosis, prognosis, and therapy prediction in human diseases
Authors: Jin, Y., Wang, W., Wang, Q., Raza, U., Gong, Y.
Year: 2022
Citations: 27

Title: Evaluation of prognostic staging systems of multiple myeloma in the era of novel agents
Authors: Shang, Y., Jin, Y., Liu, H., Hu, J., Zhou, F.
Year: 2022
Citations: 2

Title: Therapeutic Plateletpheresis in Patients With Thrombocytosis: Gender, Hemoglobin Before Apheresis Significantly Affect Collection Efficiency
Authors: Jiang, H., Jin, Y., Shang, Y., Gong, F., Zhou, F.
Year: 2021
Citations: 3

Title: Synergistic effects of AAGL and anti-PD-1 on hepatocellular carcinoma through lymphocyte recruitment to the liver
Authors: Ye, X., Wang, X., Yu, W., Xu, B., Sun, H.
Year: 2021
Citations: 4

Title: Shengxuening Extracted from Silkworm Excrement Mitigates Myelosuppression via SCF-Mediated JAK2/STAT3 Signaling
Authors: Ding, L., Tan, Y., Xu, L., Huang, T., Zhou, F.
Year: 2021
Citations: 8

salma ayari | Marketing | Best Researcher Award

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salma ayari | Marketing | Best Researcher Award

ESCT at University of Tunis, Tunisia.

Salma Ayari is a Tunisian marketing expert specializing in digital marketing strategies and communication. With a career built on both academia and practical engagement, she brings innovative insights to the field. She has cultivated exceptional communication skills, conveying complex information effectively through her teaching and research roles. Known for her diligence, creativity, and adaptability, Ayari has a proven ability to handle high-pressure environments and diverse settings. Her commitment to continuous learning, combined with her advanced skills in time management, teamwork, and organization, underscores her qualifications for advanced marketing research and education in Tunisia and beyond.

Publication Profile

Scopus

Educational Background

Salma Ayari holds a Ph.D. in Marketing from Ecole SupΓ©rieure de Commerce de Tunis, University of Manouba, Tunisia. Her doctoral thesis, defended in 2020, investigates the influence of mental imagery on consumer engagement in online environments, earning a β€œVery Honorable” mention. She also completed her Master’s in Marketing Research at the same institution in 2014, focusing on mental imagery’s impact on consumer attitudes. Additionally, she earned a Bachelor’s degree in Applied Economics, specializing in International Finance, with honors in 2010, and earlier, a Bachelor’s in Economics and Management in 2006 from Ibn Abi Dhief High School.

Experience

Ayari has extensive teaching experience as a contractual assistant across various Tunisian universities, including the University of Tunis El Manar, University of Jendouba, and ESCT. Since 2017, she has taught a range of marketing courses, including digital marketing, product management, and service marketing. Her roles have also included curriculum design and supervision of final-year undergraduate marketing students, guiding them on topics like digital strategies, e-commerce, and the impact of social media on customer behavior. This blend of teaching, practical assignments, and student mentorship showcases her dedication to advancing marketing education and research.

Research Focus

Ayari’s research centers on the evolving digital marketing landscape, with particular emphasis on consumer engagement through online platforms, customer relationship management (CRM), and social media. Her work explores how mental imagery impacts user interactions on digital platforms and has further extended into areas like interactive and social media marketing, online advertising, and CRM applications. She has also supervised research on contemporary topics such as AI’s role in marketing, e-banking services, and the influence of social media influencers, demonstrating her commitment to investigating the intersection of digital technology and consumer psychology.

Awards and honors

The information provided does not list specific awards or honors that Salma Ayari has received. However, her academic achievements, such as receiving a β€œVery Honorable” mention for her Ph.D. thesis in marketing, signify recognition of her scholarly excellence within her institution. Additionally, her sustained roles as a contractual assistant across multiple universities, along with her mentorship of students in complex, modern marketing topics, reflect her professional credibility and dedication, which might have earned her informal honors within the academic and research communities.

Conclusion

Dr. Salma Ayari presents a strong case for the Best Researcher Award in her field, especially given her specialization in digital marketing, her dedication to student mentorship, and her academic teaching experience. Her research is timely and applicable, which is essential for impactful contributions in marketing. Focusing on strengthening her publication portfolio and international presence would further solidify her standing and enhance her visibility in the field.

Publication Top Notes

    • “Muslims’ reluctance to social media campaigns about organ donation: an exploratory study”
      • Authors: Nouira, O., Ayari, S.
      • Journal: Journal of Islamic Marketing
      • Year: 2024
      • Volume/Issue/Pages: 15(7), pp. 1706–1721
      • Citations: 0
    • “Understanding the dynamics of unfollowing behaviour on TikTok: implications for interactive marketing”
      • Authors: Ayari, S., Nouira, O., Oueslati, K.
      • Journal: Journal of Decision Systems
      • Year: 2024
      • Citations: 0
    • “A Bibliometric Analysis on Artificial Intelligence in Marketing: Implications for Scholars and Managers”
      • Authors: Oueslati, K., Ayari, S.
      • Journal: Journal of Internet Commerce
      • Year: 2024
      • Volume/Issue/Pages: 23(3), pp. 233–261
      • Citations: 1
    • “Exploring the causes to unfollow social media influencers: A qualitative study”
      • Authors: Ayari, S., Oueslati, K., Ben Yahia, I.
      • Journal: Journal of Human Behavior in the Social Environment
      • Year: 2024
      • Citations: 2
    • “Proposal of a Measurement Scale and Test of the Impacts on Purchase and Revisit Intention”
      • Authors: Ayari, S., Yahia, I.B.
      • Journal: Journal of Telecommunications and the Digital Economy
      • Year: 2023
      • Volume/Issue/Pages: 11(3), pp. 1–18
      • Citations: 0
    • “Impacts of immersion on loyalty to guesthouse websites: The simultaneous effect of 3d decor and avatars in a hyper-real environment”
      • Authors: Ayari, S., Ben Yahia, I.
      • Journal: Journal of Marketing Communications
      • Year: 2023
      • Citations: 2
    • “Measuring E-Browsing Behaviour and Testing its Impact on Online Immersion”
      • Authors: Ayari, S., Yahia, I.B., Debabi, M.
      • Journal: Journal of Telecommunications and the Digital Economy
      • Year: 2022
      • Volume/Issue/Pages: 10(2), pp. 111–125
      • Citations: 2
    • “A specific language for developing business process by refinement based on BPMN 2.0”
      • Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.
      • Conference: 16th International Conference on Software Technologies, ICSOFT
      • Year: 2021
      • Pages: pp. 489–496
      • Citations: 0
    • “A grammar based approach to BPMN model semantic preservation using refinement”
      • Authors: Ayari, S., Hlaoui, Y.B., Ayed, L.B.
      • Conference: International Computer Software and Applications Conference
      • Year: 2019
      • Volume/Pages: 2, pp. 549–554
      • Citations: 1
    • “Towards an Automatic Verification of BPMN Model Semantic Preservation During a Refinement Process”
      • Authors: Hlaoui, Y.B., Ayari, S., Ayed, L.J.B.
      • Conference: Communications in Computer and Information Science
      • Year: 2019
      • Volume/Pages: 1077, pp. 397–420
      • Citations: 1

Hafida bouarfa | Computer Science | Excellence in Research

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Mrs. Hafida bouarfa | Computer Science | Excellence in Research

Mrs. Hafida bouarfa, UniversitΓ© de Blida, Algeria

Professor at the Data Processing Department, University of Blida, Algeria, Hafida Bouarfa holds a Ph.D. in Data Processing and a Magister in Information Systems from H.E.C. Montreal. With extensive research on virtual organizations, she has published numerous articles in international journals and conferences, addressing topics like knowledge management and seismic evaluations. Passionate about education, she mentors students and collaborates on innovative projects. Married with two children, she balances her professional and family life while contributing significantly to the field of data processing. πŸ“šβœ‰οΈ

Publication Profile

Google Scholar

Educational Background

Mrs. Hafida Bouarfa has an impressive educational background in Data Processing. She earned her Ph.D. in Data Processing with a focus on Information Systems from ESI (ex.INI) in Algiers, Algeria, in November 2004. Prior to that, she obtained her Magister in Information Systems from H.E.C. MontrΓ©al, Canada, in December 1991. Her journey began with an Engineer diploma in Data Processing, also from ESI (ex.INI) in September 1988. She laid a strong foundation with a General Certificate of Education in Mathematics in June 1983. πŸŽ“πŸ“š

Research Focus

Mrs. Hafida Bouarfa’s research primarily focuses on the integration of advanced computing techniques in various domains. Her work includes big data analytics πŸ“Š, emphasizing decision-making processes and enhancing data-driven strategies. She explores ontology matching πŸ€– and neural networks for information systems, aiming to improve knowledge management and retrieval. Additionally, her research addresses Internet of Things (IoT) πŸ”— security through physical unclonable functions (PUFs) and mutual authentication protocols, contributing to safe and efficient communication networks. Bouarfa’s contributions to smart cities πŸ™οΈ and fuzzy logic 🌫️ applications reflect her commitment to innovative solutions in technology and information management.

 

Publication Top Notes

  • A new model for integrating big data into phases of decision-making process | Cited by: 49 | Year: 2019 πŸ“Š
  • Ontology matching using neural networks: survey and analysis | Cited by: 27 | Year: 2018 πŸ€–
  • A survey on silicon PUFs | Cited by: 24 | Year: 2022 πŸ”
  • PUF-based mutual authentication and session key establishment protocol for IoT devices | Cited by: 23 | Year: 2023 πŸ”
  • Predicting students performance using decision trees: Case of an Algerian University | Cited by: 22 | Year: 2017 πŸŽ“
  • A new collaborative clustering approach for the Internet of vehicles (CCA-IoV) | Cited by: 17 | Year: 2020 πŸš—
  • Deep embedding learning with auto-encoder for large-scale ontology matching | Cited by: 15 | Year: 2022 πŸ”—
  • Extension of commonKads for virtual organizations | Cited by: 15 | Year: 2003 🏒
  • Fuzzy probabilistic ontology approach: a hybrid model for handling uncertain knowledge in ontologies | Cited by: 13 | Year: 2019 🌫️
  • A new supervised learning based ontology matching approach using neural networks | Cited by: 12 | Year: 2019 πŸ“š

Yanwei Fu | Computer Science | Best Researcher Award

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Yanwei Fu | Computer Science | Best Researcher Award

Dr Yanwei Fu ,Fudan University ,China

Based on the comprehensive profile provided, Prof. Dr. Yanwei Fu is indeed a highly qualified candidate for the Best Researcher Award. His achievements, research contributions, and academic standing illustrate his significant impact on the field of computer science, particularly in machine learning and computer vision.

Publication profile

google scholar

Educational Background

Prof. Fu holds a Ph.D. in Computer Science with a specialization in Computer Vision from Queen Mary University of London (2011-2014). His earlier education includes a Master’s degree from Nanjing University and a Bachelor’s degree from Nanjing University of Technology. This solid foundation in computer science has equipped him with the skills necessary for cutting-edge research.

Awards and Recognitions

Prof. Fu’s accolades demonstrate his prominence in the academic community:

  • DECRA Fellow by the Australian Research Council (2016)
  • Distinguished Professor of Eastern Scholar at Shanghai Institutions of Higher Learning (2017)
  • 1000 Young Innovative Talent Professional Fellow by NSFC (2018)
  • Winner of the Best Paper Award at the IEEE International Conference on Multimedia and Expo (ICME) (2019)
  • Recipient of the ACM China SIGAI Rising Star Award (2018) and ACM Shanghai Rising Star Award (2019)
  • Fellow of the British Computer Society (2022)

These recognitions highlight his significant contributions to research and academia, establishing him as a leader in his field.

Research Interests

Prof. Fu’s research interests span various crucial topics in machine learning and computer vision:

  1. Learning from Small Samples: He focuses on statistical sparsity and has developed methods for one-shot and few-shot learning.
  2. 3D/4D Object Reconstruction: His work includes innovative techniques for 3D model reconstruction and robotic grasping.
  3. Artificial Intelligence and Generative Models: He explores foundation models for image manipulation and advanced applications in robotic tasks.

His diverse research portfolio reflects his commitment to advancing knowledge in these areas, driving innovation through interdisciplinary approaches.

Positions Held

Prof. Fu’s career includes prestigious positions such as:

  • DECRA Fellow (2017-2020)
  • Visiting Professor at renowned institutions, including Tencent AI Lab and AItricks.com
  • Associate Professor and Professor at Fudan University since 2016

These roles not only underscore his expertise but also his ability to contribute to and lead significant research projects.

Selected Publications

Prof. Fu has authored numerous influential papers, contributing substantially to the field. Some notable publications include:

  • “Pixel2mesh: Generating 3D Mesh Models from Single RGB Images” – A pioneering work in 3D modeling.
  • “An End-to-End Architecture for Class-Incremental Object Detection with Knowledge Distillation” – Recognized with a best paper award, showcasing his innovative approach to object detection.

Publication Top Notes

Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers

Pixel2mesh: Generating 3d mesh models from single rgb images

Soft filter pruning for accelerating deep convolutional neural networks

Transductive Multi-view Zero-Shot Learning

Pose-normalized image generation for person re-identification

Chained-tracker: Chaining paired attentive regression results for end-to-end joint multiple-object detection and tracking

Multi-scale deep learning architectures for person re-identification

Multi-level semantic feature augmentation for one-shot learning

Transductive multi-view embedding for zero-shot recognition and annotation

Conclusion

Given his extensive educational background, numerous prestigious awards, impactful research interests, and significant contributions to the field of computer vision, Prof. Dr. Yanwei Fu stands out as an exemplary candidate for the Best Researcher Award. His work not only advances theoretical knowledge but also has practical implications that push the boundaries of current technology.

Mr. Shofiqul Islam | Computer Science | Best Researcher Award

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Mr. Shofiqul Islam | Computer Science | Best Researcher Award

Mr Shafiqul Islam , Β  Β Deakin University , Australia

Md. Shofiqul Islam, born in May 1989, is a resident of Highton, Geelong, Australia. Originally hailing from Chutipur, Notipota, Dhamuruda-7220, Chuadanga, Bangladesh, he has established himself in Australia while maintaining ties to his permanent address in Bangladesh. Shofiqul Islam is the son of Md. Abdul Khaleque. He stands 5 feet 7.5 inches tall and weighs 78 kilograms. As a male citizen of Bangladesh, he holds a National ID with the number 1813183458130.

Publication profile
Educational Background

Md. Shofiqul Islam is currently pursuing a Ph.D. in AI-Based Haptic Robotic Control in Medical Tele-Surgery at Deakin University, Australia, a program he began in May 2024. Prior to this, he completed a Master of Science (M.Sc) by Research at the Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Pahang, Malaysia, in November 2022, achieving an impressive 80% mark. He earned his Bachelor of Science (B.Sc) in Computer Science and Engineering from Islamic University, Kushtia, Bangladesh, in 2014, where he graduated with a CGPA of 3.69 out of 4.00, securing 2nd position among 45 students. His academic journey began at Notipota High School in Dhamurhuda, Chuadanga, Bangladesh, where he obtained his Secondary School Certificate (SSC) in Science in 2005 with a GPA of 4.06 out of 5.00. He then completed his Higher Secondary Certificate (HSC) in Science at Chuadanga Govt. College in 2007, with a GPA of 4.70 out of 5.00.

Research and Work Experience

Md. Shofiqul Islam is currently pursuing a Ph.D. in AI-Based Haptic Robotic Control in Medical Tele-Surgery at Deakin University, Australia, a journey he began in May 2024. Before embarking on his Ph.D., he served as an Assistant Professor in the Department of Computer Science and Engineering at the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh, from March 2023 to April 15, 2024. Prior to this role, he was a Senior Lecturer at the World University of Bangladesh (WUB) for a brief period from January 2023 to April 2023. His academic career also includes a significant tenure as a Graduate Research Assistant at the Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), where he contributed to research from October 2018 to June 2022. Earlier, he held positions as a Lecturer in Computer Science and Engineering at Atish Dipankar University of Science and Technology from October 2016 to September 2018, and at First Capital University of Bangladesh (FCUB) from February 2015 to June 2016. His extensive experience in academia reflects his deep commitment to advancing knowledge in computer science and engineering.

 

Awards and Recognitions

Md. Shofiqul Islam has been awarded a prestigious fully funded Ph.D. scholarship from the Australian Government, supporting his research at Deakin University from May 2022 to May 2027. This scholarship enables him to pursue advanced studies in AI-Based Haptic Robotic Control in Medical Tele-Surgery. Prior to this, he received a Graduate Research Assistantship (GRA) at Universiti Malaysia Pahang, Malaysia, where he contributed to significant research projects from March 2018 to November 2022. His academic excellence was also recognized during his undergraduate studies, where he received a Merit Scholarship each year from 2009 to 2014 while pursuing a B.Sc. in Computer Science and Engineering at Islamic University, Bangladesh. These achievements reflect his consistent dedication and outstanding performance throughout his academic career.

Publication Top Notes

  • HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention-based dual structured RNN with dilated CNN
    Authors: MS Islam, KF Hasan, S Uddin, JMW Quinn, MA Moni
    Journal: Neural Networks, Volume 162, Pages 271-287, 2023
    Citations: 30
  • A review on video classification with methods, findings, performance, challenges, limitations and future work
    Authors: MS Islam, U Kumar Roy, J Al Mahmud
    Journal: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), Volume 6, Pages 47-57, 2020
    Citations: 30
  • New hybrid deep learning approach using BiGRU-BiLSTM and multilayered dilated CNN to detect arrhythmia
    Authors: MS Islam, MN Islam, N Hashim, M Rashid, BS Bari, F Al Farid
    Journal: IEEE Access, Volume 10, Pages 58081-58096, 2022
    Citations: 26
  • A review on recent advances in Deep learning for Sentiment Analysis: Performances, Challenges and Limitations
    Authors: MS Islam, N Ab Ghani, MM Ahmed
    Journal: Journal of COMPUSOFT, 2020
    Citations: 16
  • A Novel BiGRUBiLSTM Model for Multilevel Sentiment Analysis Using Deep Neural Network with BiGRU-BiLSTM
    Authors: MS Islam, NA Ghani
    Book Series: Lecture Notes in Electrical Engineering (LNEE), Springer, 2021
    Citations: 15
  • HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
    Author: MS Islam
    Journal: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), Volume 7, April 2021
    Citations: 14
  • Machine Learning-Based Music Genre Classification with Pre-Processed Feature Analysis
    Authors: MS Islam, MM Hasan, MA Rahim, AM Hasan, M Mynuddin, I Khandokar, …
    Journal: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), Volume 7, Issue 3, Pages 491-502, 2021
    Citations: 10
  • Applications of Artificial Neural Networks in Engine Cooling System
    Authors: MM Hasan, MS Islam, SA Bakar, MM Rahman, MN Kabir
    Conference: 2021 International Conference on Software Engineering & Computer Systems (ICSECS), IEEE
    Citations: 7
  • Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
    Authors: MS Islam, MN Kabir, NA Ghani, KZ Zamli, NSA Zulkifli, MM Rahman, …
    Journal: Artificial Intelligence Review, Volume 57, Issue 3, Pages 62, 2024
    Citations: 6
  • Machine Learning Methods to Predict and Analyse Unconfined Compressive Strength of Stabilised Soft Soil with Polypropylene Columns
    Authors: HRS Ikramul Hoque, Muzamir Hasan, Shofiqul Islam, Moustafa Houda, Mirvat Houda
    Journal: Cogent Engineering, Volume 10, Issue 1, 2023
    Citations: 6
  • New Hybrid Deep Learning Method to Recognize Human Action from Video
    Authors: MS Islam, MJ Islam
    Journal: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), Volume 7, Pages 306-313, 2021
    Citations: 4

 

Zhe Zhang | Computer Science | Best Researcher Award

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Assist Prof Dr. Zhe Zhang: Computer Science

🌐 Dr. Zhe Zhang, an Assistant Professor in the Department of Geography at Texas A&M University, is a distinguished scholar with a robust academic background. In 2016, he earned his Doctor of Science with distinction in Geoinformatics from Aalto University, Finland, minoring in applied mathematics. His journey includes a Master’s in Geomatics and a Bachelor’s in Environmental Engineering from top Finnish institutions. Since 2019, Dr. Zhang has been a dedicated Assistant Professor, contributing significantly to the College of Arts and Sciences. His interdisciplinary expertise extends to serving as Affiliate Faculty in Electrical and Computer Engineering and as a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center. πŸŒπŸ”¬

Profile:

Scopus

Orcid

Education:

🌍 Dr. Zhe Zhang, a distinguished academic, holds a Doctor of Science (with distinction) in Geoinformatics, with a minor in applied mathematics, awarded in 2016 by the Department of Built Environment at Aalto University, Espoo, Finland. 🏰 His academic journey began in 2009 with a Master of Science (Technology) in Geomatics from the Department of Surveying at Helsinki University of Technology. πŸ—ΊοΈ Prior to his advanced degrees, Dr. Zhang earned a Bachelor of Environmental Engineering in 2005 from Tampere University of Applied Sciences, Tampere, Finland, laying the foundation for his environmental expertise. πŸŽ“ His diverse educational background reflects a commitment to interdisciplinary knowledge in geography, technology, and environmental engineering.

Experience:

πŸŽ“ Dr. Zhe Zhang is a versatile academic leader currently serving as an Assistant Professor (Tenure Track) in the Geography Department of the College of Arts and Sciences at Texas A&M University since September 2019. 🌐 His impactful roles extend to being an Affiliate Faculty in Electrical and Computer Engineering, a Faculty Fellow in the Texas A&M Hazard Reduction & Recovery Center, and a Faculty Fellow in the Institute of Data Science, all ongoing since September 2019. πŸ›οΈ Dr. Zhang’s journey includes a Visiting Assistant Professor position in Geography at the College of Geosciences, Texas A&M University, and significant contributions as a Postdoctoral Research Associate at the University of Illinois Urbana-Champaign. 🌐 Outside academia, he chairs the American Association of Geographers’ Cyberinfrastructure Specialty Group and leads the CyberGIS and Decision Support Systems Research Initiative for the University Consortium for Geographic Information Science (UCGIS). As the CyberGIS Studio Coordinator at the National Center for Supercomputing Applications, his work has left a lasting impact. πŸš€πŸŒ

Research Interest:

🧠 Dr. Zhe Zhang is at the forefront of pioneering research, specializing in intelligent decision support systems, big data, CyberGIS, and spatiotemporal data modeling. His expertise lies in seamlessly blending the realms of data science and geographic information systems to harness the power of big data. 🌐 His innovative work delves into the intricacies of intelligent decision-making processes, utilizing cutting-edge technologies. Dr. Zhang’s focus on spatiotemporal data modeling demonstrates a commitment to unraveling the complexities of dynamic spatial information. πŸ—ΊοΈ With a flair for fuzzy logic applications, he contributes significantly to advancing knowledge in these critical domains, shaping the future of decision support systems with intelligence and precision. πŸš€πŸ”

Publication Top Note:
  • MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence
    • πŸ‘¨β€πŸ’Ό Li, D.; Zhang, Z.
    • πŸ“… 2023
    • πŸ“š 0 Citations
  • Embracing geospatial analytical technologies in tourism studies
    • πŸ‘¨β€πŸ’Ό Yang, Y.; Chen, X.; Gao, S.; … Zhang, Z.; Zhao, B.
    • πŸ“… 2023
    • πŸ“š 1 Citation 🌐
  • Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed: A case study on Hurricane Harvey
    • πŸ‘¨β€πŸ’Ό Li, X.; Fu, D.; Nielsen-Gammon, J.; … Zhang, Z.; Gao, H.
    • πŸ“… 2023
    • πŸ“š 3 Citations 🌊
  • Analyzing spatial variations of heart disease and type-2 diabetes: A multi-scale geographically weighted regression approach
    • πŸ‘¨β€πŸ’Ό Cui, W.; Hu, N.; Zhang, S.; … GΓΌneralp, B.; Zhang, Z.
    • πŸ“… 2022
    • πŸ“š 1 Citation πŸ—ΊοΈ
  • COVID-19 impacts on mobility, environment, and health of active transportation users
    • πŸ‘¨β€πŸ’Ό Li, X.; Farrukh, M.; Lee, C.; … Zhang, Z.; Dadashova, B.
    • πŸ“… 2022
    • πŸ“š 13 Citations πŸšΆβ€β™€οΈπŸŒ
  • Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos
    • πŸ‘¨β€πŸ’Ό Alizadeh, B.; Li, D.; Hillin, J.; … Zhang, Z.; Behzadan, A.H.
    • πŸ“… 2022
    • πŸ“š 9 Citations πŸ—ΊοΈπŸŒŠ
  • Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
    • πŸ‘¨β€πŸ’Ό Li, X.; Yu, S.; Huang, X.; … Cui, W.; Zhang, Z.
    • πŸ“… 2022
    • πŸ“š 4 Citations πŸš—
  • Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference
    • πŸ‘¨β€πŸ’Ό Huang, X.; Xu, Y.; Liu, R.; … Zhao, B.; Li, Z.
    • πŸ“… 2022
    • πŸ“š 7 Citations 🏑🌐
  • CyberGIS and Geospatial Data Science for Advancing Geomorphology
    • πŸ‘¨β€πŸ’Ό Wang, S.; Bishop, M.P.; Zhang, Z.; Young, B.W.; Xu, Z.
    • πŸ“… 2022
    • πŸ“š 0 Citations πŸŒπŸ—ΊοΈ
  • Modeling human activity dynamics: an object-class oriented space–time composite model based on social media and urban infrastructure data
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