Jiao Kai | Data Science | Best Researcher Award

Prof Dr. Jiao Kai | Data Science | Best Researcher Award

Department of Stomatology, Tangdu Hospital, China

Author Profile

Orcid

👨‍⚕️ Prof. Dr. Jiao Kai - A Leading Expert In Stomatology

Early Academic Pursuits 🎓

Prof. Dr. Jiao Kai’s academic journey in stomatology began with a deep commitment to the field. He pursued higher education, ultimately becoming a doctoral supervisor. His early research laid the groundwork for his future breakthroughs, with a focus on oral medicine and temporomandibular joint disorders. Through rigorous training, he became an expert in the intricacies of oral health, reconstructive techniques, and joint disorders, propelling his career to new heights.

Professional Endeavors đź’Ľ

Currently, Prof. Dr. Jiao serves as the Director of the Department of Stomatology at Tangdu Hospital, Air Force Medical University. His role encompasses both clinical practice and leading research initiatives. In addition, he is the Branch Secretary and Director of the Oral Medicine Teaching and Research Section. As a Doctoral Supervisor and member of various esteemed professional organizations, his influence spans across national and international levels.

Contributions and Research Focus 🔬

Prof. Dr. Jiao’s research primarily targets the prevention, treatment, and regenerative reconstruction of temporomandibular joint disorders. Leading numerous high-level research projects, his groundbreaking work in regenerative techniques has advanced the understanding and treatment of joint disorders, focusing on enhancing patient outcomes. His contributions have garnered numerous awards and recognition for scientific progress in stomatology.

Impact and Influence 🌍

Prof. Dr. Jiao has left a significant mark on the field, with his research being cited over 3,200 times globally. He has earned recognition as a scientist in the top 2% worldwide. His work has shaped clinical practices and continues to influence stomatology, earning him a reputation as a global leader in his field. He is also a sought-after reviewer and editor for numerous prestigious journals.

Academic Cites đź“š

Over the last five years, Prof. Dr. Jiao’s research has been cited more than 3,200 times, with over 20 of his papers having an impact factor (IF) greater than 10. His extensive body of work has set new benchmarks in oral medicine, influencing clinical practices and advancing the understanding of temporomandibular joint disorders.

Legacy and Future Contributions 🌱

Prof. Dr. Jiao’s legacy is rooted in innovation, mentorship, and exceptional research. His groundbreaking studies and pioneering therapeutic techniques have solidified his position as a global leader in stomatology. Committed to advancing temporomandibular joint disorder research, he remains dedicated to the development of regenerative treatments and fostering international collaborations for future advancements.

Awards and Recognitions 🏆

Prof. Dr. Jiao has received multiple accolades, including the prestigious First Prize from the Chinese Stomatological Association and for Scientific Progress in Shaanxi Province. He has been recognized as a Young Top Talent of the National "Ten Thousand Talents Program" and a Distinguished Young Scholar in Shaanxi Province for his outstanding contributions to research and innovation.

Patents and Technology Transfer 🛠️

Prof. Dr. Jiao has contributed significantly to applied science, holding 29 invention patents, with 16 attributed to him as the primary inventor. His patents have led to the commercialization of advanced technologies, contributing to the academic and industrial sectors with a total transfer value exceeding 10 million yuan.

Collaborations and Professional Memberships 🤝

Prof. Dr. Jiao’s collaborations with global experts such as Professor Xu Cao (Johns Hopkins University) and Professor Jiang Chang (Chinese Academy of Sciences) have enhanced his international influence. He holds leadership positions in several national and regional scientific organizations, including the Shaanxi Provincial Stomatological Association and the Shaanxi Oral Physicians Association, contributing to the progress of the field.

Books Published and Editorial Appointments đź“–

Prof. Dr. Jiao has actively contributed to academic literature, participating in the compilation and translation of 12 books, and serving as the chief editor for four of them. His editorial roles in national and international journals reflect his dedication to advancing knowledge in the field of stomatology.

Areas of Research 🔍

His ongoing research focuses on the prevention, treatment, and regenerative regeneration of temporomandibular joint disorders, striving to develop innovative therapies that improve patient care and outcomes globally. His work continues to shape the future of stomatology and has made a lasting impact on medical practices worldwide.

Top Noted Publications đź“–

Pathological mechanism of chondrocytes and the surrounding environment during osteoarthritis of temporomandibular joint

Authors: Li B, Guan G, Mei L, Jiao K, Li H

Journal: Journal of Cellular and Molecular Medicine

Year: 2021

Crosstalk between Bone and Nerves within Bone

Authors: Wan QQ, Qin WP, Ma YX, Shen MJ, Li J, Zhang ZB, Chen JH, Tay FR, Niu LN, Jiao K

Journal: Advanced Science (Weinheim, Baden-Wurttemberg, Germany)

Year: 2021

Matrix stiffening by self-mineralizable guided bone regeneration

Authors: Li J, Yan JF, Wan QQ, Shen MJ, Ma YX, Gu JT, Gao P, Tang XY, Yu F, Chen JH et al.

Journal: Acta Biomaterialia

Year: 2021

miR-200-3p suppresses cell proliferation and reduces apoptosis in diabetic retinopathy via blocking the TGF-β2/Smad pathway

Authors: Xue L, Xiong C, Li J, Ren Y, Zhang L, Jiao K, Chen C, Ding P

Journal: Bioscience Reports

Year: 2020

The 14-3-3η/GSK-3β/β-catenin complex regulates EndMT induced by 27-hydroxycholesterol in HUVECs and promotes the migration of breast cancer cells.

Authors: Zhen J, Jiao K, Yang K, Wu M, Zhou Q, Yang B, Xiao W, Hu C, Zhou M, Li Z

Journal: Cell Biology and Toxicology

Year: 2020

Haixia Mao | Data Science | Best Researcher Award

Dr. Haixia Mao | Data Science | Best Researcher Award

Shenzhen Polytechnic University, China

👨‍🎓Professional Profile

Scopus Profile

👩‍🏫 Summary

Dr. Haixia Mao is an Associate Professor at the School of Automobile and Transportation at Shenzhen Polytechnic University, China. She holds a Ph.D. in Geographic Information System (GIS) and Remote Sensing from the Hong Kong Polytechnic University. Her research focuses on GIS-T, big data analytics, and analyzing urban mobility patterns, using spatial-temporal data from transportation systems to improve urban planning and human behavior modeling.

🎓 Education

Dr. Mao earned her Ph.D. in GIS and Remote Sensing from the Hong Kong Polytechnic University in 2010. She also completed her M.S. in GIS at Wuhan University in 2004 and her B.S. in Photogrammetry and Remote Sensing from Wuhan University.

đź’Ľ Professional Experience

Dr. Mao currently serves as an Associate Professor at Shenzhen Polytechnic University (since 2012), where she has contributed to the development of transportation-related GIS courses. Previously, she worked as a Postdoctoral Researcher at the Hong Kong Polytechnic University from 2014 to 2016, furthering her expertise in urban computing and GIS.

đź“š Research Interests

Her research encompasses GIS-T (Geographic Information Systems for Transportation), big data analytics, remote sensing, deep learning, and urban planning. She investigates the mobility patterns of citizens through traffic data (including taxis, buses, and metro) and leverages spatial-temporal data to enhance urban infrastructure and predict human behavior.

🏅 Academic Contributions

Dr. Mao has authored over 20 peer-reviewed journal articles and conference papers. She has also been awarded a patent for a caching system with a new cache placement method. She has received research grants for spatial-temporal data analytics in transportation and has actively contributed to major projects in urban computing.

đź’» Technical Skills

Dr. Mao’s technical expertise spans GIS, remote sensing, big data analytics, deep learning, and spatial-temporal data analysis. She integrates these advanced techniques to solve complex transportation and urban planning challenges.

đź“š Teaching Experience

Dr. Mao has taught several courses since 2012 at Shenzhen Polytechnic University, including GIS for Transportation, Traffic Engineering Cartography, and Traffic Information Processing. She has a long-standing dedication to educating future professionals in the field of urban planning and transportation technology.

 

đź“–Top Noted Publications

Multiple sclerosis lesions segmentation based on 3D voxel enhancement and 3D alpha matting

Authors: Sun, Y., Zhang, Y., Wang, X., Zeng, Z., Mao, H.
Journal: Chinese Journal of Medical Physics
Year: 2022

Customer attractiveness evaluation and classification of urban commercial centers by crowd intelligence

Authors: Mao, H., Fan, X., Guan, J., Wang, Y., Xu, C.
Journal: Computers in Human Behavior
Year: 2019

 When Taxi Meets Bus: Night bus stop planning over large-scale traffic data

Authors: Xiao, L., Fan, X., Mao, H., Lu, P., Luo, S.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Characterizing On-Bus WiFi passenger behaviors by approximate search and cluster analysis

Authors: Jiang, M., Fan, X., Zhang, F., Mao, H., Liu, R.
Conference: Proceedings – 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Year: 2017

Efficient visibility analysis for massive observers

Authors: Wang, W., Tang, B., Fan, X., Yang, H., Zhu, M.
Conference: Procedia Computer Science
Year: 2017

Web access patterns enhancing data access performance of cooperative caching in IMANETs

Authors: Fan, X., Cao, J., Mao, H., Zhao, Y., Xu, C.
Conference: Proceedings – IEEE International Conference on Mobile Data Management
Year: 2016

Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan at Institute for Physical Research, NAS of Armenia, Armenia

👨‍🎓  Profiles

🌟 Summary

Prof. Aram Papoyan is a distinguished expert in Laser Physics and Optics, known for his extensive research and leadership at the Institute for Physical Research in Armenia. He has played a pivotal role in international scientific collaborations.

🎓 Education

He earned his Master in Radiophysics from Yerevan State University in 1982, followed by a PhD in Optics from the Institute for Physical Research, NAS Armenia in 1991. In 2005, he completed his DSc in Laser Physics.

đź’Ľ Professional Experience

Prof. Papoyan has served as Director of the Institute for Physical Research since 2006 and heads the Laboratory of Optics. His previous roles include Vice-Director and Senior Researcher across various positions since 1986. He also supervises PhD students at the Russian-Armenian University.

🏆 Accolades and Recognition

He has received the Anania Shirakatsi Medal (2013) and the Galileo Galilei Award (2015) from the International Commission for Optics. Additionally, he was honored as an OSA Advocate of Optics in 2019 and holds multiple awards for contributions to physics.

🔬 Research Interests

Prof. Papoyan focuses on Laser Physics, Atomic Physics, and Quantum Optics, with interests in coherent population trapping, magneto-optical effects, and advanced optical imaging techniques, as well as laser-induced reactions and molecular spectroscopy.

 

đź“– Top Noted Publications

Scanning technique for direct optical transmission imaging of highly-scattering objects
    • Authors: Svetlana Shmavonyan, Aleksandr Khanbekyan, Marina Movsisyan, Aram Papoyan
    • Journal: Optics and Lasers in Engineering
    • Year: 2025
Electromagnetically induced transparency with magnetically induced ΔF = 0, mF = 0 → mF = 0 probe transition
    • Authors: Armen Sargsyan, David Sarkisyan, Aram Papoyan
    • Journal: Laser Physics
    • Year: 2024
Mirrorless Lasing: A Theoretical Perspective
    • Authors: A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya
    • Journal: Optical Memory and Neural Networks
    • Year: 2023
Peculiarities of Fluorescence of Rb Atomic Vapors Contained in a cell with an anti-relaxation coating
    • Authors: Aram Papoyan
    • Journal: Optics and Spectroscopy
    • Year: 2023
Wide range linear magnetometer based on a sub-microsized K vapor cell
    • Authors: M. Auzinsh, A. Sargsyan, A. Tonoyan, C. Leroy, R. Momier, D. Sarkisyan, A. Papoyan
    • Journal: Applied Optics
    • Year: 2022

Cancellation of D1 line transitions of alkali-metal atoms by magnetic-field values

    • Authors: Artur Aleksanyan, Rodolphe Momier, Emil Gazazyan, Aram Papoyan, Claude Leroy
    • Journal: Physical Review A
    • Year: 2022

Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang at Department of General Surgery, Jiangsu Cancer Hospital, China

👨‍🎓 Profile

👨‍⚕️ Current Position

Prof. Dr. Yang Liu is a Chief Physician and Associate Professor, serving as the Deputy Head of General Surgery at Jiangsu Cancer Hospital and the Head of Colorectal Surgery at Nanjing Medical University.

đź“ś Summary

Yang Liu is a prominent figure in colorectal surgery, also acting as a Master’s Supervisor and visiting overseas researcher at Thomas Jefferson University’s BluConner Hospital. His work has earned him multiple accolades in cancer research.

🎓 Education

Yang has completed his medical degree and advanced training in colorectal surgery, although specific institutions are not detailed here.

🏥 Professional Experience

With a focus on complex minimally invasive surgeries, he performs over 150 advanced procedures annually and actively participates in various national and provincial medical associations.

🔬 Research Interests

His research primarily explores ncRNA genomics in relation to colorectal cancer progression and metastasis, alongside developing innovative surgical techniques.

đź’ˇ Patents

Yang holds several patents, including:

  • 2024: Combination of Scutellarein for colorectal cancer treatment.
  • 2023: Multi-angle puncture holder.
  • 2020: Circ-0000423 for colorectal cancer drug development.
  • 2019: Surgical retractor for lower abdominal tumors.

🏆 Awards

He has received notable awards such as:

  • 2021: 2nd Prize for New Medical Technology in Jiangsu for epigenetic fusion in colorectal cancer.
  • 2019: 2nd Prize for his study on LINC00152 in colorectal cancer.
📖  Top Noted Publications

LUCAT1 inhibits ferroptosis in bladder cancer by regulating the mRNA stability of STAT3

  • Authors: Cao, Y., Zou, Z., Wu, X., Hu, J., Yang, L.
    Journal: Gene
    Year: 2024

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

  • Authors: Ye, Y.-X., Yang, L., Kang, Z., Du, M., Li, Z.-X.
    Journal: World Journal of Gastrointestinal Oncology
    Year: 2024

Emerging Role of ERBB2 in Targeted Therapy for Metastatic Colorectal Cancer: Signaling Pathways to Therapeutic Strategies

  • Authors: Wang, N., Cao, Y., Si, C., Bao, J., Yang, L.
    Journal: Cancers
    Year: 2022

FBXW7 and Its Downstream NOTCH Pathway Could be Potential Indicators of Organ-Free Metastasis in Colorectal Cancer

  • Authors: Li, D., Jiang, S., Zhou, X., Sun, Y., Yang, L.
    Journal: Frontiers in Oncology
    Year: 2022

Anal preservation on the psychology and quality of life of low rectal cancer

  • Authors: Mei, F., Yang, X., Na, L., Yang, L.
    Journal: Journal of Surgical Oncology
    Year: 2022

Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy at Programme National de Lutte contre le Sida, Congo, Democratic Republic of the

Professional Profile👨‍🎓

 👤 Summary

Richard Ingwe Chuy is a Congolese expert in methodology and statistics, specializing in biomedical research and data science. With over eight years of experience, he provides consultancy services and training in research design and statistical analysis, particularly in public health and epidemiology.

🎓 Education

  • Doctorant en Technologie de l’Information, SpĂ©cialitĂ© Science des DonnĂ©es
    Bircham International University, Espagne & Delaware (Mai 2022)
  • Master 2 en MĂ©thodologie et Statistiques en Recherche BiomĂ©dicale
    Université Paris Saclay, France (2020/2021)
  • Master 1 en MĂ©thodes en SantĂ© Publique
    Université Paris Saclay, France (2019/2020)
  • DiplĂ´me en MĂ©decine GĂ©nĂ©rale
    Université de Lubumbashi (UNILU), République Démocratique du Congo (2013)

đź’Ľ Professional Experience

Richard is currently a Consultant Indépendant, providing expertise in methodology and statistics to various organizations. He facilitates training on data analysis and research design. Previously, he worked at the Programme National de Lutte contre le VIH/SIDA et les IST in the Ministry of Health, DRC, and has experience in clinical medicine in Lubumbashi.

🔬 Research Interests

His research interests include methods in epidemiology and clinical studies, predictive analysis, and qualitative research. Richard is also focused on gender, human rights, and vulnerability reduction in public health contexts.

🤝 Professional Affiliations

Richard is a member of several professional organizations, including the International Aids Society (IAS), AFRAVIH, and the CQUIN network.

đź’» Technical Skills

He possesses advanced skills in Microsoft Office, R, Python, SAS, and qualitative analysis software (Nvivo, QDA Miner Lite), as well as experience in electronic questionnaire design (CoboCollect, ODK).

 

Top Noted Publications đź“–

  • Authors: Michel Luhembwe, Richard Ingwe, AimĂ©e Lulebo, Dalau Nkamba, John Ditekemena
  • Journal: BioMed
  • Volume: 4
  • Issue: 3
  • Pages: 27
  • Year: 2024

Zeina Youssef | Data Science | Best Researcher Award

Mrs. Zeina Youssef | Data Science | Best Researcher Award

Mrs. Zeina Youssef at Ecole Centrale de Lyon, France

👨‍🎓 Profile

🌟 Early Academic Pursuits

Zeina Youssef embarked on her academic journey with a strong foundation in materials chemistry, starting with her Master’s degrees in Refining and Hydrocarbon Technology from the Lebanese University. Her early research during a Master 2 internship at the Applied Chemistry Laboratory involved the synthesis, immobilization, and characterization of silicic mesoporous materials under the supervision of Dr. Mohamad El-Eter. This experience was pivotal, providing Zeina with critical skills in material synthesis and laying the groundwork for her future research endeavors.

🛠️ Professional Endeavors

Zeina’s professional career was significantly shaped during her PhD at the Chemistry Laboratory of ENS de Lyon from September 2019 to December 2022. Under the guidance of Pr. Laurent Bonneviot and Dr. Mohamad El-Eter, she focused on the characterization, adsorption, and stability of chlorohydroxoaurate(III) anions in titanium-modified hexagonal mesoporous silicas. Her work included engineering mesoporous silicic materials, controlling porous size, and utilizing microwave synthesis. Zeina also played a key role in teaching practical chemistry at the M1 level and supervising a Master 2 student. Her presentations at international conferences and a research contract with L’OrĂ©al further highlight her professional achievements and industry collaboration.

🔬 Contributions and Research Focus

Zeina’s research has made significant contributions to the field of materials chemistry, particularly in the development of titanium-modified mesoporous materials. Her work involved advanced characterization techniques such as UV-Visible spectroscopy, infrared spectroscopy, and X-ray diffraction. One of her notable contributions is the publication on “Revisited UV-spectra of chlorohydroxoaurate anions” in Spectrochimica Acta Part A, which underscores her commitment to advancing the understanding of chemical systems and materials stability.

🏅 Accolades and Recognition

Throughout her career, Zeina has received recognition for her innovative research and contributions to materials chemistry. Her participation in international congresses and national symposiums, coupled with her role in organizing the French Chemists Tournament, reflects her growing influence in the scientific community. Although her career is still developing, her achievements demonstrate a strong foundation for future accolades and impact in her field.

🌍 Impact and Influence

Zeina’s work in materials chemistry has had a notable impact, particularly in the areas of material stability and advanced characterization. Her research on titanium-modified mesoporous silicas contributes to both academic knowledge and practical applications, influencing how materials are designed and utilized. Her innovative approaches and thorough analyses drive forward advancements in material science and have the potential to address key challenges in the industry.

🚀 Legacy and Future Contributions

Looking ahead, Zeina Youssef is well-positioned to continue making significant contributions to materials chemistry. Her expertise and innovative research set the stage for future advancements and technological developments. With a commitment to both research and education, Zeina is likely to leave a lasting legacy in the field, inspiring future scientists and continuing to drive progress in material science.

đź“– Publications
Revisited UV-spectra of chlorohydroxoaurate anions
  • Authors: Youssef, Z., El Eter, M., Albela, B., Bonneviot, L.
  • Journal: Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy
  • Year: 2025

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

👨‍🎓 Profile

🧠 Early Academic Pursuits

Dr. Mohammad Reza Ahangari’s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

đź’Ľ Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

🔬 Contributions and Research Focus

Dr. Ahangari’s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

🏆 Accolades and Recognition

Dr. Ahangari’s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

🌟 Impact and Influence

Dr. Ahangari’s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

🌱 Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

đź“– Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

    • Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
    • Journal: Journal of Alloys and Compounds
    • Year: 2024

A generalized optimization-based generative adversarial network

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
    • Journal: Expert Systems with Applications
    • Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

    • Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
    • Journal: Mathematics
    • Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

    • Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
    • Journal: Electrochimica Acta
    • Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

    • Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
    • Journal: Journal of Cleaner Production
    • Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-δ perovskite oxides as a supercapacitor electrode material

    • Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
    • Journal: Journal of Energy Storage
    • Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

    • Authors: Ahangari, M., Mahmoodi, E., DelibaĹź, N., Asghari, E., Niaei, A.
    • Journal: Turkish Journal of Chemistry
    • Year: 2022

Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel  at  Bahir Dar University, Ethiopia

👨‍🎓 Profiles

🌟 Early Academic Pursuits

Dr. Gebeyehu Belay Gebremeskel’s academic journey began at Alemaya University in Dire Dawa, Ethiopia, where he earned his Bachelor of Science in Computer Science in July 1991. His quest for advanced knowledge led him to London South Bank University in England, where he completed a Master of Science in Advanced Information Technology in January 2001. Under the guidance of Professor Ddembe Williams, he delved into System Dynamics Modeling and Decision Science. Dr. Gebremeskel’s pursuit of deeper expertise continued with a Ph.D. from Chongqing University in China, culminating in June 2013. His dissertation, supervised by Professor Zhongshi He, focused on the integration of Data Mining Algorithms and Multi-Agent Systems with Business Intelligence.

đź’Ľ Professional Endeavors

Dr. Gebeyehu’s professional career is distinguished by his impactful roles at Bahir Dar University’s Institute of Technology. As an Associate Professor, he has been instrumental in program accreditation, international conference organization, and curriculum development. His expertise has been further honed through a postdoctoral fellowship at Chongqing University’s College of Automation, focusing on machine learning, big data analytics, and intelligent systems. His commitment to excellence is reflected in his contributions to academic and research training, including programs in GIS, web design, and networking.

🔬 Contributions and Research Focus

Dr. Gebeyehu’s research spans several cutting-edge areas within computer science and engineering. His work in Big Data Analytics emphasizes optimization and precision in performance. In Artificial Intelligence and Machine Learning, he explores neural networks, genetic algorithms, and support vector machines, contributing to advancements in intelligent systems and fault diagnosis. His research in Data Mining includes pattern recognition, outlier detection, and intelligent data systems. Additionally, his focus on Intelligent Systems and Agent Technology involves developing algorithms for multi-agent systems and enhancing system intelligence.

🏆 Accolades and Recognition

Dr. Gebeyehu has received significant recognition for his contributions to academia and research. His roles as conference co-chair and technical program chair for international events like ICAST 2018, 2019, and 2020 highlight his leadership and influence in the field. His research publications in renowned journals, such as the International Journal of Data Science and Analytics, further underscore his impact. His work on big data analytics and neural network models has been widely acknowledged and respected within the academic community.

🌍 Impact and Influence

Dr. Gebeyehu’s influence extends across both academic and practical domains. His research has advanced knowledge in intelligent transportation systems and smart environments. His curriculum development and program accreditation efforts at Bahir Dar University have elevated the quality of education and research opportunities. By mentoring postgraduate students and leading international workshops, Dr. Gebeyehu has significantly impacted the field of computer science and engineering, shaping the future of many students and researchers.

🌟 Legacy and Future Contributions

Dr. Gebeyehu Belay Gebremeskel’s legacy is marked by his pioneering research, extensive teaching experience, and leadership in academia. His contributions to machine learning, big data analytics, and intelligent systems have set a high standard in the field. As he continues to explore new research avenues and educational initiatives, Dr. Gebeyehu is poised to make further advancements and impact future generations of researchers and practitioners. His dedication ensures that his influence will be felt long into the future.

đź“– Publications

François Guillard | Data Science | Best Researcher Award

Dr. François Guillard | Data Science | Best Researcher Award

Doctorate at The University of Sydney, Australia

👨‍🎓 Profiles

Academic Background 🎓

François Guillard was born in Poitiers, France, in 1987. His educational journey began with a Bachelor’s Degree in Science of Matter – Physics and a Master’s Degree in Fundamental Physics from École Normale Supérieure of Lyon. He completed his PhD in Physics at Aix-Marseille University in 2013, focusing on drag and lift forces in granular media. He furthered his qualifications with a Graduate Certificate in Educational Studies (Higher Education) from The University of Sydney.

Professional Experience 🛠️

François is currently a Senior Lecturer in Geotechnical Engineering at The University of Sydney, where he also serves as Director of Postgraduate Studies and IT. His previous roles include Lecturer in Geotechnical Engineering and Post-doctoral Researcher at the same institution. He has been actively involved in academic integrity, radiation safety, and various scientific review committees.

Research Contributions 🔬

François’s research spans a range of topics in granular media and geomechanics. His recent publications include studies on the modeling of comminution in rotary mills, the use of X-ray techniques in froth flotation, and the impact of shaped boundaries on brittle porous media. His work has been published in journals such as Granular Matter, Physical Review E, and Minerals Engineering.

Conference Presentations & Invitations 🎤

François has been a keynote and invited speaker at numerous international conferences and workshops. Notable appearances include the 8th International Conference on Discrete Element Methods and the Image is Everything workshop at the Lorentz Center. His talks often focus on advancements in granular science and geomechanics.

Fundings đź’µ

He has secured various research and education grants, including ARC funding for novel granular stress sensors and projects related to chemical degradation in brittle geomaterials. François has also been involved in consulting projects, such as the upgrade of slope reinforcement software.

Teaching đź“–

François teaches both undergraduate and postgraduate courses at The University of Sydney, including Numerical Methods in Civil Engineering and Geotechnical Engineering. He also supervises capstone theses and contributes to PhD programs with courses on particle mechanics and discrete element methods.

Computing Skills đź’»

François is skilled in several programming languages, including C++, C, Matlab, and Python. He has expertise in software development for geotechnical applications and is familiar with tools like Liggghts and various specialized software for data analysis and visualization.

Personal Interests 🎸🔭

Outside of his professional life, François enjoys hiking, playing classical guitar, and amateur astronomy. He has a passion for electronic and analog photography and is actively involved in software development.

đź“– Publications

Heterarchical modelling of comminution for rotary mills: part I—particle crushing along streamlines
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Heterarchical modelling of comminution for rotary mills: part II—particle crushing with segregation and mixing
    • Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
    • Journal: Granular Matter
    • Year: 2024
Novel application of X-ray characterisation techniques in froth flotation for the study of bubble clusters
    • Authors: Bournival, G., Kim, Y.C., Shah, I., Guillard, F., Ata, S.
    • Journal: Minerals Engineering
    • Year: 2024
Behavioural zone identification in rotary mills
    • Authors: Guillard, F., Shelley, P., Einav, I.
    • Journal: Minerals Engineering
    • Year: 2024
Influence of shaped boundaries on propagating compaction bands in brittle porous media
    • Authors: Riley, D.M., Valdes, J.R., Einav, I., Guillard, F.
    • Journal: Physical Review E
    • Year: 2023
A scaling law for the length of granular jumps down smooth inclines
    • Authors: Escobar, A., Guillard, F., Einav, I., Faug, T.
    • Journal: Journal of Fluid Mechanics
    • Year: 2023

Ben Harkin | Data Analysis Innovation | Best Researcher Award

Dr. Ben Harkin | Data Analysis Innovation | Best Researcher Award

Doctorate at Manchester Metropolitan University, United Kingdom

👨‍🎓 Profiles

Orcid Profile
Scopus Profile

👨‍🔬 Summary

Dr. Ben Harkin is an esteemed cognitive psychologist known for his work in selective reviews, meta-analyses, negative cognitions and behaviors, and behavior change through validated interventions. He earned his PhD in 2012 with a dissertation titled “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” leading to 7 peer-reviewed publications. His recent meta-analysis research employs a novel multidimensional approach to data extraction and analysis, offering new insights into key cognitive aspects of psychological phenomena.

🏆 Awards and Projects

Dr. Harkin was honored with an ESRC Future Leaders Research Award in 2013, focusing on developing interventions for individuals avoiding debt. His project involved creating and applying interventions in a laboratory setting to enhance financial decision-making for loan seekers at a local credit union in Chesterfield. This multidisciplinary effort required collaboration with academics, research assistants, stakeholders, and those in debt. Additionally, Dr. Harkin received a BA Grant alongside the ESRC award, which involved supervising research assistants and post-doctoral researchers, working within diverse communities, and disseminating results to both lay and academic audiences.

🎓 Education

  • PhD in Psychology (2012): “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” University of Glasgow.
  • MSc in Research Methods of Psychological Science (Distinction) (2008): “How Checking Breeds Doubt: Reduced Performance in a Simple Working Memory Task,” Behaviour Research and Therapy.
  • MA in Psychology (First Class: Top Student) (2007): “Implicit Awareness of Ambiguity: A Role in the Development of Obsessive-Compulsive Disorder,” Behaviour Research and Therapy.
  • MA in Education (Distinction) (2022): “The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning,” International Journal of Management and Applied Research.

đź“š Key Publications

  • Harkin, B., & Yates, A. (2024). “From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach,” Journal of Clinical Medicine.
  • Harkin, B., Perrson, S., Yates, A., Ainara, J., & Kessler, K. (2023). “Top-Down and Bottom-Up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications,” Journal of Psychopathology and Clinical Science.
  • Harkin, B. (2017). “Improving Financial Management via Contemplation: Novel Interventions and Findings in Laboratory and Applied Settings,” Frontiers in Psychology.
  • Perrson, S., Yates, A., Kessler, K., & Harkin, B. (2021). “Modelling a Multi-Dimensional Model of Memory Performance in Obsessive-Compulsive Disorder: A Multi-Level Meta-Analytic Review,” Journal of Psychopathology and Clinical Science.
  • Harkin, B., Webb, T., Chang, B., Benn, Y., Sheeran, P., Connor, M., & Prestwich, J. (2016). “Does Monitoring Goal Progress Promote Goal Attainment? A Meta-Analysis of the Experimental Evidence,” Psychological Bulletin.
  • Harkin, B. & Kessler, K. (2011). “The role of Working Memory in Compulsive Checking and OCD: A Systematic Classification of 58 Experimental Findings,” Clinical Psychology Review.

đź’° Key Grants

  • Primary Investigator: ESRC Future Leaders Award, examining insights from clinical OCD to understand debt avoidance and designing interventions.
  • Primary Investigator: British Academy grant, “How Scientific Theories Disappear Down the ‘YouTube Rabbit Hole,’” exploring why people believe anti-science messages and proposing interventions and policies.

đź“– Publications

From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach
    • Author: Ben Harkin, Alan Yates
    • Journal: Journal of Clinical Medicine
    • Year: 2024
Contamination-Focussed Vignettes as an Analogue of Infectious Pandemics: An Experimental Validation using the State Disgust and Anxiety Responses in OCD
Top-down and Bottom-up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications
    • Author: Ben Harkin, Sofia Persson, Alan Yates, Ainara Jauregi, Klaus Kessler
    • Journal: Journal of Psychopathology and Clinical Science
    • Year: 2023
Student Experiences of Assessment and Feedback in the National Student Survey: An Analysis of Student Written Responses with Pedagogical Implications
    • Author: Ben Harkin, Aspasia Eleni Paltoglou, Khizra Tariq, Maggie Watkin, Shokaib Ashfaq, Alan Yates, Carly Jacobs
    • Journal: International Journal of Management and Applied Research
    • Year: 2022
The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning: The Quantification of an Extended Lefebvrian Model
    • Author: Ben Harkin
    • Journal: International Journal of Management and Applied Research
    • Year: 2022