Feng Tian | Big Data Analytics | Best Researcher Award

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

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

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

EARLY ACADEMIC PURSUITS 🎓

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

PROFESSIONAL ENDEAVORS 💼

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

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

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

IMPACT AND INFLUENCE 🌍

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

ACADEMIC CITATIONS AND PUBLICATIONS 📚

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

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

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

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

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

HONORS & AWARDS 🏅

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

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

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

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

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

LEGACY AND FUTURE CONTRIBUTIONS 🔮

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

FINAL NOTE ✨

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

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

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

    • Journal: Bioinformatics

    • Year: 2009

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

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

    • Journal: IEEE Access

    • Year: 2022

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

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

    • Journal: Haematologica

    • Year: 2024

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

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

    • Journal: Nature Communications

    • Year: 2024

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

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

    • Journal: Advanced Science

    • Year: 2025

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

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

    • Journal: Frontiers in Public Health

    • Year: 2025

xian Zhang | Geosciences | Best Researcher Award

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Dr. xian Zhang | Geosciences | Best Researcher Award

Hunan University of Finance and Economics | China

 PUBLICATION PROFILE

Scopus

Orcid

INTRODUCTION 🧑‍🏫

Dr. Xian Zhang is a distinguished academic in the field of information technology and management, currently serving as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics since 2023. With a robust educational background and a strong research profile, Dr. Zhang has made significant contributions to the field of electromagnetic data processing and signal identification. His research spans a wide range of topics, particularly focusing on the processing of magnetotelluric data and noise elimination methods.

EARLY ACADEMIC PURSUITS 🎓

Dr. Zhang embarked on his academic journey with a focus on computer science and engineering. He earned his D.D. from Shaoyang University in 2016, followed by an M.D. from Hunan Normal University in 2019. His academic pursuits culminated in a Ph.D. from Central South University in 2022, laying a strong foundation for his future research endeavors. These early years of study instilled in him a deep understanding of data analysis and computational methods, which he later applied to his work on electromagnetic data.

PROFESSIONAL ENDEAVORS 💼

Since 2023, Dr. Zhang has been contributing to the academic community as a Lecturer at the School of Information Technology and Management, Hunan University of Finance and Economics. His professional career has been characterized by a commitment to both teaching and groundbreaking research. In his role, he imparts knowledge to future professionals in the field, shaping the next generation of experts in data analysis and information technology.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Zhang’s research is centered on signal processing, with a particular emphasis on magnetotelluric and electromagnetic data. His work on separating magnetotelluric signals, utilizing advanced computational techniques like composite multiscale dispersion entropy and orthogonal matching pursuit, has garnered recognition within the scientific community. Additionally, his exploration of machine learning techniques, such as grey wolf optimization and detrended fluctuation analysis, has brought innovative approaches to electromagnetic signal identification and noise reduction.

IMPACT AND INFLUENCE 🌍

Dr. Zhang’s research has not only advanced the field of electromagnetic signal processing but also impacted the methods used in geophysics, specifically in noise elimination and feature extraction from complex data sets. His work has influenced both theoretical developments and practical applications in geophysical exploration. Furthermore, his interdisciplinary approach bridges the gap between data science, physics, and engineering, offering insights into improving electromagnetic signal processing technologies.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Zhang’s scholarly contributions are well-documented in numerous peer-reviewed journals. His work has been published in prestigious journals, including Earth Planets and Space, Acta Geophysica, Oil Geophysical Prospecting, Machine Learning: Science and Technology, and Geophysical Prospecting. His notable journal articles cover a wide range of topics, from noise removal techniques to advanced signal processing methods using machine learning algorithms. These publications have significantly contributed to the body of knowledge in the areas of signal processing and geophysical exploration.

HONORS & AWARDS 🏆

Dr. Zhang’s exceptional research efforts have been recognized with various accolades, including the prestigious Hunan Xiaohe Science and Technology Talent Award in 2024. This recognition underscores his outstanding contributions to science and technology, particularly in the realm of geophysical data processing and electromagnetic signal analysis. His work continues to inspire and influence future research in these fields.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

As Dr. Zhang continues to develop his research and academic career, his contributions to signal processing and electromagnetic data analysis are expected to have lasting effects on both academia and industry. His future work is poised to further bridge the gap between theoretical research and practical applications, particularly in environmental monitoring, resource exploration, and technological advancements in data processing. His legacy will be defined by his ability to solve complex scientific problems and inspire innovation in data-driven technologies.

FINAL NOTE 📝

Dr. Xian Zhang’s career reflects a deep commitment to advancing the field of electromagnetic signal processing. His impressive academic background, coupled with his ongoing professional contributions, solidifies his role as a leading figure in his field. With a growing portfolio of research, honors, and impactful publications, Dr. Zhang’s work continues to push the boundaries of what is possible in data analysis and signal processing. His future endeavors are sure to influence both academia and practical applications across various industries.

TOP NOTES PUBLICATIONS 📚

Controlled-source electromagnetic noise attenuation via a deep convolutional neural network and high-quality sounding curve screening mechanism

    • Authors: Yecheng Liu, Diquan Li, Jin Li, Xian Zhang

    • Journal: GEOPHYSICS

    • Year: 2025

Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit

    • Authors: Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

    • Journal: Geosciences

    • Year: 2025

Coordinate Attention-Temporal Convolutional Network for Magnetotelluric Data Processing

    • Authors: Jin Li, Hong Cheng, Jiayu Wang, Xian Zhang, Jingtian Tang

    • Journal: IEEE Transactions on Geoscience and Remote Sensing

    • Year: 2024

Intelligent processing of electromagnetic data using detrended and identification

    • Authors: Xian Zhang, Diquan Li, Bei Liu, Yanfang Hu, Yao Mo

    • Journal: Machine Learning: Science and Technology

    • Year: 2023

Deep structure of the Rongcheng geothermal field, Xiongan New Area: Constraints from resistivity data and boreholes

    • Authors: Yunqi Zhu, Diquan Li, Yanfang Hu, Xian Zhang, Fu Li, Feng Ma, Guiling Wang

    • Journal: Geothermics

    • Year: 2023

 

Prithi Madhavan | Deep Learning | Best Researcher Award

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Ms. Prithi Madhavan | Deep Learning | Best Researcher Award

Marudhar Kesari Jain College for Women Autonomous Vaniyambadi | India

PUBLICATION PROFILE

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Scopus

INTRODUCTION

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

EARLY ACADEMIC PURSUITS

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

PROFESSIONAL ENDEAVORS

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

CONTRIBUTIONS AND RESEARCH FOCUS

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

IMPACT AND INFLUENCE

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

ACADEMIC CITATIONS AND PUBLICATIONS

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

HONORS & AWARDS

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

LEGACY AND FUTURE CONTRIBUTIONS

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

FINAL NOTE

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

 TOP NOTES PUBLICATIONS 

Utilizing Machine Learning for Speech Emotion Recognition

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

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

    • Year: 2024

Churn Detection Using Machine Learning in the Retail Industry

    • Authors: Prithi Madhavan; K. Tamizharasi

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

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

    • Authors: Prithi M; Tamizharasi K

    • Journal: International Journal of Engineering Technology and Management Sciences

    • Year: 2023

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

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

    • Journal: Communications in Computer and Information Science

    • Year: 2022

 

Wenbin Zhang | Educational Data Analysis | Best Researcher Award

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Prof. Wenbin Zhang | Educational Data Analysis | Best Researcher Award

Sir Run Run Shaw Hospital, Zhejiang University School of Medicine | China

Publication Profile

Orcid

Summary 📝

Dr. Wenbin Zhang is a Professor and Chief Physician at Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. With extensive experience in cardiology, he specializes in interventional diagnosis and treatment of complex coronary heart disease, refractory hypertension, and heart failure. His research focuses on hypertension-related myocardial remodeling and the inflammatory mechanisms of atherosclerosis, contributing significantly to the understanding of cardiovascular diseases.

Education 🎓

Dr. Zhang completed his medical education and training at Zhejiang University School of Medicine, where he later became a professor and doctoral supervisor. He continues to shape future medical professionals through his commitment to education and research.

Professional Experience 💼

Dr. Zhang serves as a chief physician and teacher in the cardiology department, focusing on critical illnesses. He is an expert in the management of cardiovascular conditions, including coronary heart disease and heart failure. His professional journey also includes leadership roles in medical education and reforms in clinical practice.

Academic Citations 📚

With nearly 70 journal publications in high-impact medical journals such as SCI and Scopus, Dr. Zhang’s research has made notable contributions to the field of cardiology. His work on myocardial remodeling and atherosclerosis has been widely recognized within the scientific community.

Technical Skills 🛠️

Dr. Zhang is highly skilled in interventional cardiology, including coronary angioplasty and the treatment of refractory hypertension. His expertise also extends to molecular biology techniques, providing critical insights into cardiovascular disease mechanisms.

Teaching Experience 👨‍🏫

As a medical professor, Dr. Zhang is deeply involved in curriculum development and the reform of medical education. He actively integrates innovative teaching methods to improve students’ clinical skills and academic performance, ensuring they are well-prepared for the challenges of modern medicine.

Research Interests 🔬

Dr. Zhang’s primary research interests include the molecular mechanisms of hypertension-related myocardial remodeling and the inflammatory pathways that drive atherosclerosis. His work is paving the way for future therapeutic strategies in cardiovascular disease management.

Top Notes Publications 📚

Variability in Plasma Lipids Between Intensive Statin Therapy and Conventional-Dose Statins Combined with Ezetimibe Therapy in Patients with Coronary Atherosclerosis Disease

    • Authors: Jinhua Jin, Liwen Shan, Manjun Wang, Lu Liu, Tian Xu, Duanbin Li, Zhezhe Chen, Xianglan Liu, Wenbin Zhang, Ya Li

    • Journal: International Heart Journal

    • Year: 2023

Liver enzymes mediate the association between aldehydes co-exposure and hypertriglyceridemia

    • Authors: Duanbin Li, Zhezhe Chen, Yu Shan, Tianli Hu, Xulin Hong, Jun Zhu, Yunhui Zhu, Guosheng Fu, Min Wang, Wenbin Zhang

    • Journal: Ecotoxicology and Environmental Safety

    • Year: 2023

Polydopamine (PDA) coatings with endothelial vascular growth factor (VEGF) immobilization inhibiting neointimal formation post zinc (zn) wire implantation in rat aortas

    • Authors: Jiayin Fu, Qiongjun Zhu, Zhezhe Chen, Jing Zhao, Shaofei Wu, Meng Zhao, Shihui Xu, Dongwu Lai, Guosheng Fu, Wenbin Zhang

    • Journal: Biomaterials Research

    • Year: 2023

Erythrocyte parameters, anemia conditions, and sex differences are associated with the incidence of contrast-associated acute kidney injury after coronary angiography

    • Authors: Xihong Li, Qingqing Chen, Xinrui Yang, Duanbin Li, Changqing Du, Jun Zhang, Wenbin Zhang

    • Journal: Frontiers in Cardiovascular Medicine

    • Year: 2023

Biomimetic and NOS‐Responsive Nanomotor Deeply Delivery a Combination of MSC‐EV and Mitochondrial ROS Scavenger and Promote Heart Repair and Regeneration

    • Authors: Ning Zhang, Mengkang Fan, Yongchao Zhao, Xiaolong Hu, Qiongjun Zhu, Xiaolu Jiao, Qingbo Lv, Duanbin Li, Zheyong Huang, Guosheng Fu, et al.

    • Journal: Advanced Science

    • Year: 2023

Zafer Aslan | Atmospheric Science | Best Researcher Award

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Prof. Zafer Aslan | Atmospheric Science | Best Researcher Award

Istanbul Aydın University | Turkey

PUBLICATION PROFILE

Google Scholar 

Prof. Zafer Aslan⚡🌍

👩‍🏫 Summary

Prof. Zafer Aslan is a distinguished academic with a strong background in atmospheric sciences. She holds a Ph.D. from Istanbul Technical University and has extensive experience in international research, having visited top institutions like the University of Washington (USA) and ICTP (Italy). Currently, she serves as the Vice Rector and a Professor at Istanbul Aydın University, where she also leads international relations and research initiatives. With over 50 publications and extensive contributions to multiple academic journals, Prof. Aslan is a highly respected figure in her field.

🎓 Education

  • B.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1975)
  • M.Sc. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1981)
  • Ph.D. in Atmospheric Sciences (Meteorology) from Istanbul Technical University (1987)

💼 Professional Experience

Prof. Aslan’s career spans across various institutions in both academic and leadership roles:

  • Vice Rector & Professor at Istanbul Aydın University, Department of Computer Engineering (2009–Present)
  • Vice Dean at Kafkas University (1994–1997)
  • Vice Rector & Dean at Beykent University (1997–2004)
  • Teaching Member & Vice Director at Istanbul Commerce University (2004–2005)
  • She has also been involved with international organizations such as ICTP, where she held roles like Senior Associate and Project Coordinator.

📚 Academic Citations & Recognition

  • Over 50 publications in refereed journals.
  • Editor for 9 international journals.
  • Awarded the Paul Tissandier Award (2013) and the Simons Associate Award (2014) for her research contributions.
  • A member of notable organizations such as ICTP-OWSD and FAI-OSTIV.

🛠️ Technical Skills

Prof. Aslan’s expertise encompasses a wide range of disciplines:

  • Atmospheric Physics & Climatology
  • Renewable Energy, particularly Wind and Solar Energy Potential
  • Applied Mathematics and Data Mining techniques for research and analysis
  • Satellite Data applications in environmental research.

👨‍🏫 Teaching Experience

Prof. Aslan has guided numerous students at the Master’s and Ph.D. levels, with ongoing supervision of graduate theses in the fields of:

  • Atmospheric Sciences
  • Renewable Energy (Wind and Solar)
  • Machine Learning applications in environmental and engineering problems.

🔬 Research Interests ON Atmospheric Science

Her primary research interests include:

  • Atmospheric Convection & Thermal Soaring (related to aviation and meteorology)
  • Data Analysis in Atmospheric Sciences (e.g., using data mining and machine learning techniques for environmental modeling)
  • Contributions to Renewable Energy studies, especially regarding wind and solar energy potential in Turkey.

📚 Top Notes Publications

Article: Earth virtualization engines (EVE)

Author(s): B Stevens, S Adami, T Ali, H Anzt, Z Aslan, S Attinger, J Bäck, J Baehr, …
Journal: Earth System Science Data
Year: 2024

Article: Effects of climate change on soil erosion risk assessed by clustering and artificial neural network

Author(s): Z Aslan, G Erdemir, E Feoli, F Giorgi, D Okcu
Journal: Pure and Applied Geophysics
Year: 2019

Article: Rank determination of mental functions by 1D wavelets and partial correlation

Author(s): Y Karaca, Z Aslan, C Cattani, D Galletta, Y Zhang
Journal: Journal of Medical Systems
Year: 2017

Article: Harmonic analysis of precipitation, pressure, and temperature over Turkey

Author(s): Z Aslan, D Okcu, S Kartal
Journal: NUOVO CIMENTO-SOCIETA ITALIANA DI FISICA SEZIONE C
Year: 1997

Article: Global wind energy assessment of Turkey and a case study in the northwest

Author(s): Z Aslan, S Mentes, MA Yukselen, S Tolun
Journal: International Energy Symposium 21st Century, Istanbul
Year: 1994

Article: Güneş enerjisi potansiyelinin çoklu lineer regresyon ve yapay sinir ağları ile modellenmesi

Author(s): D Gabralı, Z Aslan
Journal: AURUM Journal of Engineering Systems and Architecture
Year: 2020

Lishu Guo | Insight Interlace | Best Researcher Award

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Assoc Prof Dr. Lishu Guo | Insight Interlace | Best Researcher Award

Assoc Prof Dr. Lishu Guo at Columbia University, China

👨‍🎓 Profiles

 📚 Academic Background 

Lishu Guo is an accomplished Associate Research Scientist at Columbia University, New York, specializing in mitochondrial bioenergetics and metabolic reprogramming. With a global academic and research background, Dr. Guo has contributed significantly to understanding mitochondrial dynamics and their implications in cancer and metabolic disorders.

🎓 Education

Dr. Guo earned a Ph.D. in Biomedical Science from the University of Padova, Italy, focusing on mitochondrial permeability transition and F-ATP synthase (2015-2018). She also holds a Master’s in Pharmacology from Lanzhou University, China (2012-2014), and a Bachelor’s in Medicine from Henan University, China (2008-2012).

💼 Professional Experience

Dr. Guo is currently serving as an Associate Research Scientist at Columbia University’s Department of Anesthesiology (since August 2024). Previously, she worked as a Young Associate Researcher at the Greater Bay Area Institute of Precision Medicine, Fudan University, China (2022-2024) and as an Assistant Researcher at Tongji University’s School of Medicine, China (2019-2022). She also completed a Fellowship at the University of Padova (2018-2019) and started her career as an Assistant Researcher at Shanghai Haohai Biological Technology Co., Ltd. (2014-2015).

🔬 Research Interests

Dr. Guo’s research interests include mitochondrial channels and permeability transition, oxidative phosphorylation, F-ATP synthase dynamics, oxidative stress, calcium homeostasis, and metabolic reprogramming. She explores these areas to understand their roles in cellular function and disease mechanisms.

🏆 Awards and Funding 

Dr. Guo has received funding from the Shanghai Sailing Program (2020-2023) and the Shanghai Tenth People’s Hospital (2021-2023).

🤝 Memberships 

Dr. Guo is a member of the Shanghai Overseas Returned Scholars Association and the Guangzhou Overseas Returned Scholars Association.

📝 Reviewer 

Dr. Guo serves as a reviewer for several journals, including ACS Chemical Neuroscience, Biochemical Pharmacology, and Mitochondrial Communications.

💡Patents 

Dr. Guo holds patents for MTCH2 in cancer treatment drugs related to iron death (2023) and a composition for enhancing immune function (2023).

📖 Publications

Title: F-ATP synthase inhibitory factor 1 regulates metabolic reprogramming involving its interaction with c-Myc and PGC1α
  • Author(s): Guo, L., Gu, Z.
  • Journal: Frontiers in Oncology
  • Year: 2023
Title: Mitochondrial ATP synthase inhibitory factor 1 interacts with the p53–cyclophilin D complex and promotes opening of the permeability transition pore
  • Author(s): Guo, L.
  • Journal: Journal of Biological Chemistry
  • Year: 2022
Title: Mitochondria and the permeability transition pore in cancer metabolic reprogramming
  • Author(s): Guo, L.
  • Journal: Biochemical Pharmacology
  • Year: 2021
Title: Arg-8 of yeast subunit e contributes to the stability of F-ATP synthase dimers and to the generation of the full-conductance mitochondrial megachannel
  • Author(s): Guo, L., Carraro, M., Carrer, A., Bernardi, P., Lippe, G.
  • Journal: Journal of Biological Chemistry
  • Year: 2019
Title: Arginine 107 of yeast ATP synthase subunit g mediates sensitivity of the mitochondrial permeability transition to phenylglyoxal
  • Author(s): Guo, L., Carraro, M., Sartori, G., Petronilli, V., Bernardi, P.
  • Journal: Journal of Biological Chemistry
  • Year: 2018

Stuart Cockbill | Real-world Case Studies | Best Researcher Award

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Dr. Stuart Cockbill,Real-world Case Studies, Best Researcher Award

Doctorate at Loughborough University, United Kingdom

Professional Profile

Scopus Profile

🎓 Higher Education

  • Ph.D. (2016-2021)
    Loughborough University
    Thesis: The role of co-design in supporting energy-related retrofit by householders.
  • Master of Science with Distinction (2009-2011)
    Coventry University
    Thesis: The future home: A research study investigating the effects of access to information and awareness.
  • Master of Design, First Class Honours (2005-2009)
    Coventry University
    Thesis: Inclusive equipment design: Improving fitness for a capable population.

🎓 Professional Qualifications

  • Fellow of the Higher Education Academy (2022)
  • Axure RP Short Course, Loughborough University (2015)
  • QSR NVivo 10 Short Course, Loughborough University (2013)
  • Solidworks Essentials Training Course, Solid Solutions (2011)

💼 Employment History

  • Senior Lecturer in Service Design (2024 – Present)
    Loughborough University
    Programme Leader for BA Design/Industrial Design, Co-Programme Leader for MA User Experience & Service Design, Deputy Programme Leader for MSc User Experience Design.
  • Lecturer in Design (2020 – 2023)
    Loughborough University
    Module leadership, supervision of doctoral researchers, personal academic tutor, and member of the Design for Future Living Research Group.
  • Lecturer in Product/Industrial Design Maternity Cover (2018 – 2019)
    Loughborough University
    Module leadership, Diploma in Professional Studies (DPS) visiting tutor, developing research area.
  • Research Associate – DICE Project (2016 – 2019)
    Loughborough University
    Organising study activities, publishing outputs, day-to-day project administration.

🔬 Research and Enterprise Funding

  • IUK – Vehicle to Energy Communities (VECTORS) (2022)
    Funder: Innovate UK. Value: £34,959. Co-I: Dr Stuart Cockbill.
  • MECS-Design School Collaboration (SD4MECS) (2020)
    Funder: FDCO Project Number: 300123. Value: £77,611. Co-I: Dr Stuart Cockbill.
  • IUK – Social Innovation and Social Business Models for MTC’s COLCO Project (2020)
    Funder: Innovate UK. Value: £12,980.62. Co-Is: Dr Stuart Cockbill.

📚 Research Excellence

  • Strong publication record in international journals.
    Citations: 64 (Google Scholar h-index: 5, i-10: 4, Scopus h-index: 3).

🎓 PhD Supervision

  • Valentina Volpi: Playing with the Trouble: An anarchafeminist game design praxis into, through, and for Social Innovation in the context of London Housing Precarity.
  • Princess Woy: Designing Positively: A well-being integrative approach to designing foot-to-go services.
  • Katie Calvert: Designing an Urban Consumer Product Remanufacturing Model.

🏆 Teaching Awards

  • Loughborough University Teaching Innovation Award
    Developing a programme design ‘playbook’ using a service design and design futures approach.
  • Deans Learning and Teaching Award (2019)
    For significant innovations in UG and PG teaching.

🗣️ Invited Speaker

  • Leicestershire County Council Communities Board (2020, 2021, 2022)
  • DICE Industry Advisory Board Meeting (2017)
  • REFIT Industry Partners Meeting (2015)

📖 Publication Top Noted

Article: Understanding the e-cooking experience from the perspective of the everyday cook in Nakuru, Kenya

    • Authors: Coulentianos, M., Kamau, A., Leary, J., Cockbill, S., Mitchell, V.
    • Journal: Energy for Sustainable Development
    • Volume: 81
    • Pages: 101484
    • Year: 2024

Article: The sustainability of convenience food: A review and design research agenda

    • Authors: Woy, P., Wilson, G.T., Cockbill, S.
    • Journal: Journal of Cleaner Production
    • Volume: 451
    • Pages: 142083
    • Year: 2024

Article: Introduction to Service Design for UX Designers

    • Authors: Cockbill, S., Mitchell, V., Roto, V., Lai-Chong Law, E., Zimmerman, J.
    • Journal: Conference on Human Factors in Computing Systems – Proceedings
    • Volume: 143
    • Year: 2022

Article: Home energy renovation: UK owner-occupied householder uncertainties, information and data needs

    • Authors: Simpson, K., Cockbill, S., Childs, P.
    • Journal: IOP Conference Series: Earth and Environmental Science
    • Volume: 1085
    • Issue: 1
    • Pages: 012046
    • Year: 2022

Article: Introduction to Service Design for UX Designers

    • Authors: Roto, V., Mitchell, V., Cockbill, S., Lai-Chong Law, E., Zimmerman, J.
    • Journal: Conference on Human Factors in Computing Systems – Proceedings
    • Year: 2021

Muhammad Shahriar Bashar | Material science | Best Researcher Award

Posted on by ScienceFather

Dr. Muhammad Shahriar Bashar, Material science, Best Researcher Award

Doctorate at Bangladesh Council of Scientific and Industrial Research, Bangladesh

Professional Profile

Scopus Profile
Orcid Profile
Summary

Dr. Muhammad Shahriar Bashar is a distinguished Principal Scientific Officer at the Institute of Fuel Research and Development (IERD) within the Bangladesh Council of Scientific and Industrial Research (BCSIR). With over 18 years of expertise in Energy-Nanotechnology and Semiconductor Fabrication, he spearheads the establishment of Bangladesh’s first Thin-film Semiconductor Fabrication Research Laboratory. His pioneering work includes optimizing metal sulfide and oxide thin-film semiconductors, advancing solar cell technologies, and developing energy-efficient devices. Dr. Bashar’s contributions extend to policy formulation in renewable energy and supervising numerous research theses. His accolades include Bangladesh’s first CdTe-based solar cell and innovations in biomass energy, reflecting his commitment to sustainable development and technological advancement.

Education

  • Ph.D.: Department of Physics, Jahangirnagar University, 2022
  • M.Sc.: Applied Physics & Electronics, University of Dhaka, 1999 (First Class)
  • B.Sc. (Honors): Applied Physics & Electronics, University of Dhaka, 1998 (First Class)
  • Higher Secondary School Certificate: Government Science College, Dhaka Board, 1995 (First Division)
  • Secondary School Certificate: Motijheel Model High School, Dhaka Board, 1993 (First Division)

Professional Experience

  • Principal Scientific Officer: Bangladesh Council of Scientific and Industrial Research (BCSIR), since December 19, 2019
  • Senior Scientific Officer: BCSIR, August 04, 2011 – December 19, 2019
  • Scientific Officer: BCSIR, June 15, 2006 – August 03, 2011
  • Scientific Officer: Bangladesh Institute of Nuclear Agriculture (BINA), July 20, 2004 – June 14, 2006

Current Research Focus

Dr. Bashar is primarily engaged in pioneering research and development in the following areas:

  • Thin-film semiconductor fabrication
  • Renewable Energy Technologies
  • Solar cell fabrication
  • Energy auditing and sustainable energy management
  • Biogas digester design
  • Solar panel testing and optimization

Achievements and Contributions

Dr. Bashar has made significant contributions to the field of renewable energy and semiconductor technology, including:

  • Fabrication of 2nd and 3rd generation thin-film solar cells in Bangladesh
  • Development of highly efficient biomass-based cookstoves and biogas digesters
  • Establishment of the largest solar thermal plant and grid-connected photovoltaic power plants in Bangladesh
  • Design and development of various energy-saving devices and technologies

Skills

  • Thin-film semiconductor fabrication
  • Solar radiation measurement
  • Photovoltaics
  • Energy auditing and sustainable energy management
  • Analytical problem solving and simulation
  • Graphics design and troubleshooting

Awards and Recognitions

  • Research Award “Adamma Bangladesh” (2016) for the fabrication of CdTe based thin-film solar cells
  • Special Award from the Dean of the Faculty of Science, University of Dhaka (2001)

📖 Publication Top Noted

Article: Low energy synthesis of crystalline mesoporous aluminosilicate consisting of Na-P1 zeolite derived from coal fly ash

    • Authors: Quddus, M.S., Saha, M., Hasanuzzaman, M., Sharmin, N., Bashar, M.S.
    • Journal: Cleaner Materials
    • Volume: 12
    • Pages: 100247
    • Year: 2024

Article: Combined experimental and first principles look into (Ce, Mo) doped BiVO4

    • Authors: Mahi, T.A., Hossain, Q.S., Nishat, S.S., Irfan, A., Ahmed, I.
    • Journal: Heliyon
    • Volume: 10
    • Issue: 8
    • Pages: e29408
    • Year: 2024

Article: Amplification of photocatalytic degradation of antibiotics (amoxicillin, ciprofloxacin) by sodium doping in nano-crystallite hydroxyapatite

    • Authors: Tarannum, S., Sahadat Hossain, M., Bashar, M.S., Bahadur, N.M., Ahmed, S.
    • Journal: RSC Advances
    • Volume: 14
    • Issue: 18
    • Pages: 12386–12396
    • Year: 2024

Article: Enhancing perovskite solar cell performance: Investigating the impact of post-annealing on the optoelectrical and structural properties of RF-sputtered NiO films via SCAPS-1D device modeling

    • Authors: Abdur, R., Choudhury, S., Bashar, M.S., Hossain, M., Shah Jamal, M.
    • Journal: Solar Energy
    • Volume: 271
    • Pages: 112443
    • Year: 2024