Junjie Liu | pharmaceutics | Best Researcher Award

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Prof. Junjie Liu | pharmaceutics | Best Researcher Award

professor, Zhengzhou University, China

Liu Junjie is a professor and PhD supervisor at the School of Pharmacy, Zhengzhou University. šŸŽ“ He completed his PhD in pharmaceutical sciences from Chongqing University in 2018. šŸ“š With over 40 publications in top journals like Sci Adv and Adv Mater, he is a recognized leader in his field. šŸ§¬ He has led 10 major research projects, including grants from the National Natural Science Foundation of China. šŸŒ Liu has received multiple prestigious honors, including youth talent support and high-level talent awards. šŸš€ His contributions in pharmaceutical science are shaping the future of health and medicine.

Profile

EducationšŸŽ“Ā 

Liu Junjie obtained his PhD in pharmaceutical sciences from Chongqing University in 2018. šŸ« His advanced training in pharmaceutical sciences allowed him to develop expertise in drug development and pharmaceutical research. šŸ“‘ His education combined rigorous theoretical knowledge and hands-on experience in the laboratory, equipping him with the tools necessary for groundbreaking research. šŸ§Ŗ He also pursued further professional development through leading postdoctoral research, continuously building on his PhD training. šŸ’” His academic foundation serves as the cornerstone for his innovative work in drug discovery and therapeutic development.

ExperiencešŸ§‘ā€šŸ«Ā 

Liu Junjie is currently a professor and PhD supervisor at Zhengzhou Universityā€™s School of Pharmacy. šŸ”¬ He has extensive experience leading pharmaceutical research and managing collaborative research projects. šŸ§‘ā€šŸ”¬ Since completing his PhD, he has overseen 10 major research projects, including those supported by the National Natural Science Foundation of China. šŸŒŸ His work has been featured in over 40 SCI-indexed publications as the first or corresponding author, showcasing his strong research output. šŸŒæ Liu is also actively involved in mentorship, guiding PhD students and shaping the next generation of pharmaceutical scientists.

Awards and HonorsšŸ†

Liu Junjie has received numerous prestigious awards for his contributions to pharmaceutical research. šŸŽ–ļø Notably, he has been recognized by the China Association for Science and Technology with the Youth Talent Support award. šŸŒŸ His high-level talent and innovative contributions to the field have earned him recognition in Henan Province, where he received the High-level Talent Award and was named an Outstanding Youth Talent in the Central Plains. šŸ’¼ Additionally, he was awarded the Innovative Talent Award for his role in advancing pharmaceutical research at Henanā€™s Higher Education Institutions.

Research FocusšŸ”¬Ā 

Liu Junjieā€™s research focuses on the development of innovative drugs and therapeutic treatments. šŸ§Ŗ His work aims to bridge the gap between basic pharmaceutical sciences and clinical applications, exploring drug delivery systems and novel therapeutic materials. šŸ§¬ He is particularly interested in precision medicine and the design of targeted therapies to improve treatment efficacy and minimize side effects. šŸŒ His interdisciplinary research integrates chemistry, biology, and materials science to advance drug development, leading to over 40 high-impact publications in renowned scientific journals. šŸ“ˆ His research aims to transform healthcare and patient outcomes.

Publication Top Notes

In situ implantable DNA hydrogel for diagnosis and therapy of postoperative rehemorrhage following intracerebral hemorrhage surgery

Published in: Science Advances (2024, 10(33), ado3919)
Authors: Yu, W., Gong, E., Wang, C., Liu, J., Shi, J.
Overview: This research focuses on a DNA hydrogel that can be implanted in situ to diagnose and treat rehemorrhage after intracerebral hemorrhage surgery, providing a new tool for post-surgical care.

2. In situ formation of biohybrid system based on Streptococcus pneumoniae for enhanced radical therapy against tumors

Published in: Cell Reports Physical Science (2024, 5(7), 102074)
Authors: Zhao, X., Wang, Q., Dong, H., Liu, J., Shi, J.
Overview: The study explores a biohybrid system using Streptococcus pneumoniae for improved radical cancer therapies, targeting tumors more effectively.

3. Retraction Note: Copper-based metal-organic framework impedes triple-negative breast cancer metastasis via local estrogen deprivation and platelets blockade

Published in: Journal of Nanobiotechnology (2024, 22(1), pp. 302)
Authors: Wang, S., Yin, N., Li, Y., Si, P., Liu, J.
Overview: This article was retracted, but it originally examined how copper-based frameworks prevent breast cancer metastasis by blocking estrogen and platelets.

4. A Neutrophil Hijacking Nanoplatform Reprograming NETosis for Targeted Microglia Polarizing Mediated Ischemic Stroke Treatment

Published in: Advanced Science (2024, 11(17), 2305877)
Authors: Yin, N., Wang, W., Pei, F., Wang, Z.-H., Liu, J.
Overview: The research proposes a nanoplatform that hijacks neutrophils to treat ischemic stroke by modulating microglia polarization.

5. Ultrasensitive Optical Detection and Elimination of Residual Microtumors with a Postoperative Implantable Hydrogel Sensor for Preventing Cancer Recurrence

Published in: Advanced Materials (2024, 36(14), 2307923)
Authors: Geng, S., Guo, P., Wang, J., Shi, J., Liu, J.
Overview: This article focuses on an optical sensor integrated with a hydrogel to detect and remove microtumors post-surgery, reducing cancer recurrence risk.

6. Biomimetic Nanovehicle-Enabled Targeted Depletion of Intratumoral Fusobacterium nucleatum Synergizes with PD-L1 Blockade against Breast Cancer

Published in: ACS Nano (2024, 18(12), pp. 8971ā€“8987)
Authors: Geng, S., Guo, P., Li, X., Liu, J., Yang, Y.
Overview: This study examines a nanovehicle that targets Fusobacterium nucleatum within tumors to boost the effectiveness of PD-L1 blockade therapies for breast cancer.

Conclusion

Liu Junjie is an excellent candidate for the Best Researcher Award. His robust academic output, leadership in research projects, mentorship, and numerous recognitions make him well-suited for this prestigious recognition. While expanding his international collaborations and increasing the practical application of his research could further enhance his candidacy, his contributions to pharmaceutical sciences and his leadership in innovative research projects make him a strong contender for this award.

 

Maksud Hasan Shah | Restorative Dentistry | Best Researcher Award

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Dr. Maksud Hasan Shah | Restorative Dentistry | Best Researcher Award

Professor at Bidhan Chandra Krishi Viswavidyalaya, India

A dedicated agricultural professional with a strong background in agronomy, specializing in weed management. Currently serving as an Assistant Professor and guest faculty member at COA Chandgothi and COA Mandawa, affiliated with Swami Keshewanand Rajasthan Agriculture University. With three years of research experience under the AICRP on Weed Management Project, they have a passion for improving crop production and sustainability in agriculture.

Profile

Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

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Ms. Umaa Mahesswari G | Artificial Intellugence Engineering | Best Researcher Award

Research Scholar at College of Engineering Guindy, Anna University, India

G. Umaa Mahesswari is a highly motivated research scholar from Chennai, India, with a passion for innovation and technology. With a solid foundation in Computer Science, her academic journey spans from her B.E. at R.M.K College to a Ph.D. at Anna University, specializing in Big Data Analytics. Umaa has worked on significant projects like IoT-based air pollution detection and digital inscription readers for ancient Tamil stone inscriptions. A recipient of the prestigious Anna Research Fellowship, she is dedicated to leveraging technology for social good. Her technical expertise and passion for research make her a valuable asset in the R&D domain.

Profile

Education šŸ“˜šŸŽ“

Bachelor of Engineering (B.E.) in Computer Science from R.M.K College of Engineering and Technology, Chennai (2015-2019), with a CGPA of 8.65.Master of Engineering (M.E.) in Computer Science with a Specialization in Big Data Analytics from College of Engineering, Guindy, Anna University, Chennai (2019-2021), with a CGPA of 9.07.Ph.D. in Computer Science from College of Engineering, Guindy, Anna University (2023-present).Completed the Google Data Analytics Professional Specialization Course via Coursera (2021), enhancing her skills in data-driven problem-solving.

Experience šŸ’¼šŸ“Š

Research Project Assistant at Tamil Virtual Academy (2022), working on the development of an inscription reader for ancient Tamil temple inscriptions, supervised by Dr. P. Uma Maheswari.Undergraduate project on IoT-based air pollution detection and analysis, focusing on real-time data collection and environmental monitoring.Postgraduate project on predictive analytics for plastic disposal by Walmart India, contributing to sustainable business solutions.Proficient in machine learning, data visualization, and SQL, with significant contributions to the field of Big Data Analytics.

Awards and Honors šŸ†šŸŽ–

Academic Topper in the third year of her B.E. program, demonstrating her dedication to academic excellence.Nominee for Best Outgoing Student Award at the end of her undergraduate studies.Prize winner in several intra-college cultural competitions, showcasing her versatility beyond academics.Anna Research Fellowship Holder from 2023 to 2025, awarded in recognition of her research potential in Big Data Analytics.Published academic papers in esteemed venues like Springer ICTIS and Computer Society of India, highlighting her contributions to the academic community.

Research Focus šŸ”šŸ’”

Umaa Mahesswariā€™s research focuses on leveraging Big Data Analytics, Machine Learning, and Deep Learning to solve pressing societal challenges. Her projects span diverse areas such as IoT-based environmental monitoring, predictive analytics for waste management, and digital solutions for heritage preservation (Tamil inscriptions). She aims to develop data-driven solutions that improve sustainability and drive innovation. Her ongoing Ph.D. research explores pattern recognition and data visualization techniques to extract meaningful insights from large datasets, with the goal of enhancing decision-making processes in both academic and practical settings.

Conclusion

G. Umaa Mahesswari is an exceptional candidate for the Best Scholar Award due to her innovative research, academic achievements, and technical expertise. By further broadening her research scope and international collaborations, she could elevate her already impressive profile and contribute even more profoundly to the global research community.

Publication Top Notes

SmartScanPCOS: A Feature-Driven Approach to Cutting-Edge Prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence

Journal: Heliyon
Published: October 2024
DOI: 10.1016/j.heliyon.2024.e39205
Contributors: G. Umaa Mahesswari; P Uma Maheswari

Mehdi Ghatee | Artificial Intelligence | Best Researcher Award

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Prof. Mehdi Ghatee | PArtificial Intelligence | Best Researcher Award

Full Professor at Amirkabir University of Technology, Iraq

This individual is a highly skilled project manager with expertise in intelligent transportation systems and infrastructure. They have led several high-profile ITS projects across Iran, including the Action Plan for Intelligent Transportation Systems in Shiraz and national projects involving intracity and intercity ITS. Their work focuses on optimizing transportation systems using advanced technologies such as artificial intelligence, neural networks, and data science. With a career spanning over two decades, they have contributed significantly to improving Iran’s public transportation and highway systems, as well as advising on critical petroleum transport safety issues.

Profile

EducationšŸŽ“

They hold advanced degrees in engineering and transportation systems, including specialized training in artificial intelligence and network optimization. Their academic journey began with a focus on optimizing transportation networks, and they later pursued studies that explored neural networks and intelligent transportation systems. Through continued education and professional development, they gained cutting-edge knowledge in data mining and its applications in transportation. Their interdisciplinary background merges technical expertise with the management of large-scale infrastructure projects.

ExperiencešŸ’¼

The individual has a rich professional background in transportation management. They have served as a project manager for various organizations, including the Shiraz Municipality, Tehran Deputy of Traffic, MSRT, and Tehran Control Traffic Company. Their leadership has been instrumental in developing intelligent transportation solutions and investigating hazardous material transportation risks. They also advised on BRT systems and public transportation initiatives. With over 15 years of experience in both the public and private sectors, theyā€™ve been at the forefront of implementing ITS and advising on petroleum-related transport and logistics.

Awards & HonorsšŸ†

Over their career, the individual has been recognized for their contributions to transportation system innovation and project management excellence. Their leadership on intelligent transportation systems projects has earned them accolades from governmental bodies such as the MSRT and NIOPDC. Notable achievements include awards for the implementation of cutting-edge ITS technologies, as well as safety improvements in the transportation of hazardous materials. Their work has significantly enhanced public transit systems in major Iranian cities, particularly Tehran and Shiraz, positioning them as a key figure in national transportation projects.

Research Focus šŸ”¬

Their research primarily revolves around the application of artificial intelligence and neural networks in optimizing transportation networks. Starting with a focus on network optimization in 2004, they expanded their interests to intelligent transportation systems (ITS) and later neural networks and data mining. They aim to create efficient and safer transportation systems through the use of AI, exploring ways to minimize congestion, enhance road safety, and improve the transportation of goods, especially hazardous materials. Their work intersects with both public transit and highway infrastructure improvements through innovative tech solutions.

Conclusion

The candidate possesses outstanding credentials in intelligent transportation systems and AI-driven technologies, making them a strong contender for the Best Researcher Award. Their vast project management experience, coupled with a diverse research portfolio in AI, neural networks, and data science, aligns well with the award criteria. To further solidify their candidacy, expanding their international collaborations and academic contributions would provide a broader platform for their innovative work, making them a more recognized figure in the global research community.

Publication Top Notes
  • A systematic review on overfitting control in shallow and deep neural networks
    • Authors: MM Bejani, M Ghatee
    • Journal: Artificial Intelligence Review
    • Citations: 304
    • Year: 2021
    • Details: This review addresses various methods for controlling overfitting in neural networks, both shallow and deep, presenting strategies and techniques for improving generalization in machine learning models.
  • Computational methods for solving fully fuzzy linear systems
    • Authors: M Dehghan, B Hashemi, M Ghatee
    • Journal: Applied Mathematics and Computation
    • Citations: 298
    • Year: 2006
    • Details: This paper introduces novel computational techniques to solve fully fuzzy linear systems, which have applications in systems where uncertainty is modeled using fuzzy logic.
  • Solution of the fully fuzzy linear systems using iterative techniques
    • Authors: M Dehghan, B Hashemi, M Ghatee
    • Journal: Chaos, Solitons & Fractals
    • Citations: 171
    • Year: 2007
    • Details: Focuses on iterative techniques to solve fuzzy linear systems, providing an alternative to traditional crisp systems solutions.
  • A context-aware system for driving style evaluation by an ensemble learning on smartphone sensors data
    • Authors: MM Bejani, M Ghatee
    • Journal: Transportation Research Part C: Emerging Technologies
    • Citations: 153
    • Year: 2018
    • Details: Proposes an ensemble learning model for driving style evaluation using smartphone sensor data, improving transportation safety and behavior analysis.
  • Convolutional neural network with adaptive regularization to classify driving styles on smartphones
    • Authors: MM Bejani, M Ghatee
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Citations: 84
    • Year: 2019
    • Details: Introduces CNNs with adaptive regularization techniques for classifying driving styles using mobile sensor data.
  • Hybrid of discrete wavelet transform and adaptive neuro-fuzzy inference system for overall driving behavior recognition
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Transportation Research Part F: Traffic Psychology and Behavior
    • Citations: 83
    • Year: 2018
    • Details: Combines wavelet transforms and neuro-fuzzy systems to recognize driving behaviors, helping in real-time traffic safety assessments.
  • A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Journal of Intelligent Transportation Systems
    • Citations: 68
    • Year: 2019
    • Details: Describes a neuro-fuzzy modeling approach for driving behavior detection using fused smartphone sensor data.
  • Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions
    • Authors: RB Zadeh, M Ghatee, HR Eftekhari
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Citations: 65
    • Year: 2017
    • Details: Develops a warning system using fuzzy logic for protecting road users, especially pedestrians and cyclists.
  • An inference engine for smartphones to preprocess data and detect stationary and transportation modes
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Transportation Research Part C: Emerging Technologies
    • Citations: 65
    • Year: 2016
    • Details: Introduces an inference engine to classify transportation modes from smartphone data, improving mobility tracking.
  • Optimal network design and storage management in petroleum distribution network under uncertainty
    • Authors: M Ghatee, SM Hashemi
    • Journal: Engineering Applications of Artificial Intelligence
    • Citations: 60
    • Year: 2009
    • Details: Proposes a model for optimizing petroleum distribution networks, considering uncertainty factors in supply chains.

 

Mr. Ametus Kuuwill | Soundness | Best Researcher Award

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Mr. Ametus Kuuwill | Soundness | Best Researcher Award

Environmental Management at Scholarship, Miskolc University, Hungary

The summary introduces Ametus Kuuwill as a multidisciplinary researcher with a focus on various aspects of forestry, public health, sustainability, and economics. It outlines their affiliation with the International Forestry Faculty at Technische UniversitƤt Dresden in Germany and provides contact information. The summary also highlights their specific research interests, which include forest management and governance, public health, carbon forestry, sustainability, rural livelihoods, and agricultural economics. Overall, the summary presents a concise overview of Ametus Kuuwill’s professional background and areas of expertise.

Professional Profiles:

Educations:

Temesgen Bogale is a highly qualified professional with a diverse educational background. He holds a Ph.D. in Forest Management and Governance from Technische UniversitƤt Dresden, Germany, which he has been pursuing since November 2023. Prior to this, he completed a Master of Science in Agricultural Economics at the University of Saskatchewan, Canada, from August 2022 to September 2023, specializing in water-energy-food security analysis. Additionally, Temesgen holds a joint Master’s degree in Tropical Forest Management from Technische UniversitƤt Dresden, Germany, and a Master’s degree in Forest and Livelihoods from the University of Copenhagen, Denmark, both of which he completed from August 2019 to October 2021. His specialization in these programs includes tropical forest management, rural forest, and rural livelihoods. Temesgen’s educational journey began with a Bachelor of Arts in Economics from the University of Cape Coast, Ghana, where he specialized in data science and economic policy, graduating in May 2018.

Skills:

Temesgen Bogale possesses a wide range of skills that make him a valuable asset in his field. He has extensive experience in conducting transdisciplinary research, particularly in areas related to resource sustainability, resource management, agricultural economics, institutional economics, rural livelihood, planetary health, food security, and climate change. Temesgen is adept at managing and analyzing data, utilizing various empirical and statistical methods, and proficient in statistical software such as R, Stata, and SPSS. He has a strong track record of academic writing and publishing, with several publications in reputable journals. Temesgen excels in transdisciplinary collaboration, having worked across diverse fields including forestry, agriculture, public health, and livelihoods. He is also skilled in policy engagement, having participated in epistemic dialogues and conference presentations. Furthermore, Temesgen is committed to continuous development, with excellent listening skills and a swift learning ability, allowing him to contribute effectively and build a professional network in multicultural environments.

Grants:

Temesgen Bogale has been awarded several prestigious grants to support his academic pursuits and research endeavors. These include the Saxony Doctoral Program in Germany, which provided a sum of ā‚¬48,600 and has been ongoing since 2023. He also received a scholarship from the Department of Agricultural and Resource Economics at the University of Saskatchewan in Canada, totaling C$48,000 for the academic year 2022-2023. Additionally, Temesgen was awarded a scholarship of ā‚¬49,000 for the European Erasmus Mundus Joint Master’s Degree in Sustainable Tropical Forestry, which he completed from 2019 to 2021. Moreover, he participated in the Ghana-United Kingdom exchange program for high school students, receiving a scholarship of Ā£20,000 in 2012. These grants have not only supported Temesgen financially but also enabled him to pursue his academic and research interests in agricultural economics, environment, and development.

Experience:

Temesgen Bogale has a rich and diverse professional background that reflects his passion for environmental sustainability and agricultural development. He has served as a Research Assistant at Technische UniversitƤt Dresden, Germany, focusing on forest policy and governance from November 2021 to June 2022. In this role, he collaborated with teams across Ghana, Uganda, and Cameroon, conducting qualitative and quantitative data collection, literature reviews, and data analysis using tools like R, Stata, and SPSS. Temesgen also contributed to scientific articles and reports, showcasing his strong writing skills and research acumen. As an intern at the United Nations University Institute for Integrated Management of Material Fluxes and of Resources from July 2020 to January 2021, Temesgen assisted with carbon forestry projects. He collected and analyzed data, conducted literature reviews, and engaged with local communities to ensure inclusivity in project implementation. This experience enhanced his understanding of carbon forestry and its impact on sustainable development.

 

Dr. Izrarahmad l Hydrochemistry | Best Researcher Award

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Dr. Izrarahmad | Hydrochemistry | Best Researcher AwardĀ 

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

Professional Profiles:

Education

Ph.D. in Hydrogeology, Aligarh Muslim University, Aligarh, India, 2005-2008 M.Phil. in Hydrogeology, Aligarh Muslim University, Aligarh, India, 2003-2005 M.Sc. Applied Geology (Gold Medalist), Aligarh Muslim University, Aligarh, India, 2003

Professional Experience

Associate Professor, Department of Geology, AMU, Aligarh: (March 2021 ā€“ Present) Responsibilities: Teaching various geology and hydrogeology courses, leading research projects. Soil & Water Resources Specialist, Dubai Municipality, Dubai, UAE: (April 2015 ā€“ March 2021) Responsibilities: Framing groundwater policies, managing projects, conducting monitoring programs. Hydrogeological Specialist, Ar-Riyadh Development Authority, Riyadh, Saudi Arabia: (May 2014 – March 2015) Responsibilities: Expert review in hydrological assessments, groundwater level modeling.

Research Focus

Groundwater quality assessment Groundwater resource estimation Groundwater flow & solute transport modeling Hydrogeology & Environmental Geology Aquifer Storage Recovery (ASR) study Environmental Impact Assessment study

Skills

Vis. MODFLOW, Rockworks, AquaChem, Surfer, Didger, Grapher, SPSS, ArcView GIS 10.2.2, PMWIN. Groundwater flow modeling, hydrological assessment, project management.

Awards & Recognition

Gold Medalist in M.Sc. (Applied Geology) H.S. Pareekh Memorial Gold Medal Award Employee of the Month (Dubai Municipality, June 2016 & July 2018)

šŸ“– PublicationsĀ  Top Note :

On sufficiency and duality for a class of interval-valued programming problems

Paper Publication in 2014 Cited by 84

Sufficiency and duality in multiobjective programming involving generalized F-convex functions

Paper Publication in 1994 Cited by 77

Second order (F, Ī±, Ļ, d)-convexity and duality in multiobjective programming

Paper Publication in 2006 Cited by 62

Molecular characterization of tomato and chili leaf curl begomoviruses from Pakistan

Paper Publication in 2003 Cited by 59

Secound Order Symmetric Duality with Generalized Convexity

Paper Publication in 2001 Cited by 48

On GeodesicĀ E-Convex Sets, GeodesicĀ E-Convex Functions andĀ E-Epigraphs

Paper Publication in 2012 Cited by 46

Duality in nondifferentiable minimax fractional programming with generalized convexity

Paper Publication in 2006 Cited by 46

Second order duality for minmax fractional programming

Paper Publication in 2009 Cited by 44

Higher-order duality in nondifferentiable multiobjective programming

Paper Publication in 2007 Cited by 44
Paper Publication inĀ  2006 Cited by 43