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. 🎓 He completed his PhD in pharmaceutical sciences from Chongqing University in 2018. 📚 With over 40 publications in top journals like Sci Adv and Adv Mater, he is a recognized leader in his field. 🧬 He has led 10 major research projects, including grants from the National Natural Science Foundation of China. 🌍 Liu has received multiple prestigious honors, including youth talent support and high-level talent awards. 🚀 His contributions in pharmaceutical science are shaping the future of health and medicine.

Profile

Education🎓 

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

Experience🧑‍🏫 

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

Awards and Honors🏆

Liu Junjie has received numerous prestigious awards for his contributions to pharmaceutical research. 🎖️ Notably, he has been recognized by the China Association for Science and Technology with the Youth Talent Support award. 🌟 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. 💼 Additionally, he was awarded the Innovative Talent Award for his role in advancing pharmaceutical research at Henan’s Higher Education Institutions.

Research Focus🔬 

Liu Junjie’s research focuses on the development of innovative drugs and therapeutic treatments. 🧪 His work aims to bridge the gap between basic pharmaceutical sciences and clinical applications, exploring drug delivery systems and novel therapeutic materials. 🧬 He is particularly interested in precision medicine and the design of targeted therapies to improve treatment efficacy and minimize side effects. 🌍 His interdisciplinary research integrates chemistry, biology, and materials science to advance drug development, leading to over 40 high-impact publications in renowned scientific journals. 📈 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. 8971–8987)
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 📘🎓

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 💼📊

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 🏆🎖

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 🔍💡

Umaa Mahesswari’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

Education🎓

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.

Experience💼

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, they’ve been at the forefront of implementing ITS and advising on petroleum-related transport and logistics.

Awards & Honors🏆

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 🔬

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.

 

Jiancheng Huang | Mineral Engineering | Best Researcher Award

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Mr. Jiancheng Huang | Mineral engineering | Best Researcher Award

Master Degree Candidate at University Of South China, China.

Mr. Jiancheng Huang is an emerging researcher in the field of mining engineering, currently pursuing a master’s degree at the University of South China. He holds a bachelor’s degree in Civil Engineering from Huangshan University, where he laid the groundwork for his academic journey. Mr. Huang’s research primarily focuses on deep rockburst mechanisms and water-rock interactions, contributing to a better understanding of geological processes. He has published three academic papers and applied for three patents, showcasing his innovative approach to engineering challenges. With a cumulative impact factor of 15.1 over the past three years, he is making significant strides in mineral engineering research.

Profile:

Education

Mr. Jiancheng Huang graduated with a bachelor’s degree in Civil Engineering from Huangshan University, where he developed a strong foundation in engineering principles and practices. He is currently pursuing a master’s degree in Mining Engineering at the University of South China, focusing on advanced topics such as deep rockburst mechanisms and water-rock interactions. This ongoing education reflects his commitment to furthering his expertise in mining engineering and addressing critical challenges within the field.

Professional Experience

Mr. Jiancheng Huang has gained valuable practical experience in the field of civil and mining engineering. He completed his undergraduate studies at Huangshan University, where he participated in various projects related to civil engineering, applying theoretical knowledge to real-world scenarios. Currently, as a master’s student at the University of South China, he is engaged in research focusing on deep rockburst mechanisms and water-rock interactions. This research not only enhances his academic credentials but also equips him with hands-on experience in laboratory settings and field studies. Through his involvement in multiple research projects, he has developed skills in data analysis, problem-solving, and collaboration, further establishing his foundation in engineering practices.

Research Interest

Mr. Jiancheng Huang’s primary research interests lie in the fields of mineral engineering, particularly focusing on deep rockburst mechanisms and water-rock interactions. His work aims to understand the complex behaviors of rocks under stress, particularly in mining contexts, where rockbursts can pose significant safety risks. He employs advanced methodologies, including experimental studies and theoretical modeling, to investigate the energy dynamics involved in rock failure and the impact of water on rock stability. Additionally, Mr. Huang is keen on exploring innovative approaches to improve safety measures and engineering practices in mining operations, contributing to sustainable resource extraction.

Research Skills

Mr. Jiancheng Huang possesses a robust set of technical and analytical skills essential for his research in mineral engineering. He is proficient in advanced data analysis and modeling techniques, allowing him to interpret complex geological and engineering data effectively. His expertise includes rock mechanics, geotechnical engineering, and experimental design, particularly related to rockburst phenomena and water-rock interactions. Additionally, Mr. Huang has hands-on experience with various laboratory techniques and testing methods for evaluating rock properties. He is adept at utilizing software tools for simulation and analysis, further enhancing his research capabilities. His strong problem-solving skills, combined with effective communication abilities, enable him to collaborate with multidisciplinary teams and present his findings clearly.

Conclusion

Based on his educational background, research contributions, and commitment to innovation, Mr. Jiancheng Huang is a suitable candidate for the Best Researcher Award. His work in mineral engineering has the potential to significantly impact the field, making him a deserving recipient of this recognition.

Publication Top Notes

Title: An energy-based method for uniaxially compressed rocks and its implication

  • Journal: Journal of Rock Mechanics and Geotechnical Engineering
  • Year: 2024
  • DOI: 10.1016/j.jrmge.2024.07.002
  • Contributors: Yong Luo, Jiancheng Huang, Xuefeng Si, Feng Lin, Wuxing Wu
  • Type: Journal article

Charu Krishna | Blockchain | Women Researcher Award

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Assist Prof Dr. Charu Krishna | Blockchain | Women Researcher Award

Assistant Professor at Thapar Institute of Engineering and Technology, India.

Assist Prof. Dr. Charu Krishna is an accomplished academic and researcher in the field of Computer Science and Engineering. Currently pursuing her Ph.D. at Motilal Nehru National Institute of Technology Allahabad, she specializes in developing transparent and trustworthy healthcare systems using blockchain, Internet of Things (IoT), and machine learning technologies. Dr. Krishna holds an M.Tech degree from Delhi Technological University and a B.Tech degree from Abdul Kalam Technical University. She has published several papers in prestigious journals, focusing on innovative applications of blockchain in healthcare, pandemic patient monitoring, and image processing. With teaching experience at various institutions, she is dedicated to mentoring the next generation of engineers and promoting advancements in technology for societal benefit. In addition to her academic pursuits, Dr. Krishna has actively contributed to extracurricular initiatives, demonstrating her commitment to community service and education.

Profile:

Education

Assist Prof. Dr. Charu Krishna is currently pursuing her Ph.D. in Computer Science and Engineering at Motilal Nehru National Institute of Technology Allahabad, where she has achieved a commendable CGPA of 8.25 in her coursework since September 2020. She holds a Master of Technology (M.Tech) in Computer Science and Engineering from Delhi Technological University, where she graduated with an overall percentage of 72 from August 2014 to June 2016. Prior to that, she earned her Bachelor of Technology (B.Tech) degree from Abdul Kalam Technical University, Lucknow, with an overall percentage of 66 from July 2009 to June 2013. Dr. Krishna’s educational foundation includes a high level of achievement in her Intermediate and High School studies, where she obtained 94% and 91%, respectively, from Loreto Convent, Lucknow, demonstrating her consistent commitment to academic excellence throughout her educational journey.

Professional Experience

Assist Prof. Dr. Charu Krishna has accumulated valuable experience in academia, serving in various teaching roles within the field of Computer Science and Engineering. Most recently, she held the position of Assistant Professor at Thapar Institute of Engineering and Technology in Patiala from May 2024 to September 2024, where she taught courses such as Data Structures and Blockchain. Prior to this, she served as an Assistant Professor at the Institute of Engineering and Rural Technology in Prayagraj from January 2018 to September 2020, imparting knowledge on subjects including Programming for Problem Solving, Data Structures using C, Software Engineering, and Digital Image Processing. Dr. Krishna began her academic career as a Teaching Assistant at Delhi Technological University from 2014 to 2016, where she contributed to the learning environment of students in the Computer Science and Engineering department. Her diverse teaching experiences reflect her commitment to fostering a comprehensive understanding of computer science concepts among her students while also engaging in research initiatives that address real-world challenges.

Research Interest

Assist Prof. Dr. Charu Krishna’s research interests lie at the intersection of emerging technologies and healthcare, with a particular focus on the integration of blockchain, Internet of Things (IoT), and machine learning to develop innovative solutions for pressing healthcare challenges. Currently, she is pursuing her Ph.D. thesis on creating a transparent and trustworthy healthcare system that leverages distributed ledger technology to enhance patient monitoring during pandemics and emergency situations. Her previous research includes projects on image enhancement techniques, breast cancer detection using convolutional neural networks (CNNs), and various applications of blockchain technology in healthcare systems. Dr. Krishna is passionate about exploring the potential of these technologies to improve patient outcomes, enhance data security, and streamline healthcare processes. Through her work, she aims to contribute to the advancement of intelligent systems that address the complexities of modern healthcare delivery.

Research Skills

Assist Prof. Dr. Charu Krishna possesses a diverse set of technical skills and competencies that enhance her contributions to the fields of computer science and engineering. She specializes in blockchain technology, machine learning, and the Internet of Things (IoT), enabling her to develop innovative solutions for complex problems. Proficient in programming languages such as C, C++, Java, Python, SQL, and MATLAB, she adeptly applies these skills to various projects and research initiatives. Dr. Krishna is also experienced with software and tools including Remix, Ganache, Google Colaboratory, Visual Studio, Oracle, MySQL, Jupyter Notebook, and NetBeans, facilitating her work in both academic and practical environments. Additionally, she has taught a wide array of subjects, including Data Structures, Programming for Problem Solving, Database Management Systems (DBMS), Operating Systems, Digital Electronics, Computer Networks, Software Engineering, and Discrete Mathematics. Her technical expertise is complemented by her strong communication skills and commitment to fostering a collaborative learning environment.

Award and Recognition

Assist Prof. Dr. Charu Krishna has garnered significant recognition for her academic and professional achievements throughout her career. She successfully secured a prestigious campus placement during her time at Delhi Technological University, where she was offered a competitive package of 10 LPA. Demonstrating her academic excellence, Dr. Krishna qualified for the Graduate Aptitude Test in Engineering (GATE) in 2014 with an impressive percentile of 98, achieving this distinction multiple times thereafter. She also earned the University Grants Commission-National Eligibility Test (NET) certification for Assistant Professors in 2015. Her dedication to research and academic development has been acknowledged through her active role as a reviewer for various conferences, where her insights contribute to advancing the field. Additionally, Dr. Krishna excelled in competitive examinations, securing the third rank in the AKTU Ph.D. entrance test in 2019. Her contributions to education and community service have further solidified her reputation as a committed and influential figure in her discipline.

Conclusion

Assist Prof. Dr. Charu Krishna’s impressive academic background, ongoing innovative research, extensive teaching experience, and commitment to community service make her an exemplary candidate for the Research for Women Researcher Award. Her dedication to advancing knowledge in her field, coupled with her technical expertise and passion for teaching, positions her as a role model for aspiring women researchers in technology and engineering.

Publication Top Notes

  • MedBlockSure: Blockchain-based insurance system
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Journal: Cognitive Computation and Systems
    • Year: 2024
    • Type: Article in Press, Open access
  • Professional Ethics, Challenges and Opportunities for Blockchain Technology in Healthcare Sector: A Systematic Review
    • Authors: K. Singh, C. Krishna, D. Kumar
    • Journal: Recent Advances in Computer Science and Communications
    • Year: 2024
    • Volume: 17(1), pp. 72–86
    • DOI: e201123223664
    • Type: Review
  • A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Journal: Wireless Personal Communications
    • Year: 2023
    • Volume: 131(3), pp. 2125–2172
    • Type: Review, Open access
    • Citations: 4
  • Use Cases of Blockchain in Post-Covid Healthcare
    • Authors: C. Krishna, D. Kumar, D.S. Kushwaha
    • Book Title: Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things
    • Year: 2023
    • Pages: 167–179
    • Type: Book Chapter

Ramesh G | Computer Science and Engineering | Excellence in Research |

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Dr. Ramesh G |Computer Science and Engineering | Excellence in Research

Professor at Vaagdevi Engineering College, India

Dr. Ramesh G. is an accomplished academic and researcher with over 20 years of experience in the field of Computer Science and Engineering. He holds a Ph.D. from Osmania University and has a rich educational background, including a Master of Technology in Computer Science and Engineering and a Master of Science in Information Systems. Dr. Ramesh has served as an Associate Professor at Vaagdevi Engineering College and has previously held positions at Mekelle University in Ethiopia, where he contributed significantly to curriculum development for graduate programs in Cyber Security and Bioinformatics. His research interests encompass phishing webpage detection, 5G communication networks, and digital noise reduction in video processing, with several of his works published in reputable journals. He is also an active editor and reviewer for various academic journals and has published multiple utility patents. Dr. Ramesh’s contributions to academia are further highlighted by his successful acquisition of research grants and his authorship of books on IoT and machine learning.

Profile

Education

Dr. Ramesh has a Ph.D. in Computer Science and Engineering, which shows a deep level of expertise in his field. He also holds two master’s degrees, one in Computer Science and Engineering and the other in Information Systems, further solidifying his strong foundation in technology and engineering

Professional Experience

With over 20 years of teaching experience at undergraduate and postgraduate levels, and extensive experience in editorial and review roles, Dr. Ramesh has a comprehensive understanding of both academia and research.

Research Interests

Dr. Ramesh has substantial experience as an editor and reviewer for various international journals, which underscores his influence and reputation in the academic community.He has published multiple utility patents related to IoT, machine learning, and cyber security, which reflect his innovation and contribution to applied research. Additionally, securing grants from prestigious bodies like AICTE, DST, and SERB indicates his ability to attract funding for impactful research projects.

Awards and Recognition

The successful acquisition of funded grants from renowned agencies showcases his research excellence and recognition by peers and funding bodies.

Global Collaborations and Innovations

Dr. Ramesh has published several utility patents and secured multiple grants from prestigious organizations like AICTE, DST, and SERB. This indicates his ability to contribute to innovative research and secure funding for significant projects.His work as an Assistant Professor at Mekelle University in Ethiopia, including his leadership roles in curriculum development, highlights his international experience and ability to work in diverse environments.

Conclusion

Given his comprehensive education, extensive teaching and research experience, numerous patents, and significant contributions to academic journals and funded research, Dr. Ramesh G is well-qualified for recognition through a Research for Excellence award. His work in fields such as IoT, machine learning, and cyber security aligns with current technological advancements, further solidifying his candidacy.

Publications Top Notes

Title: An efficacious method for detecting phishing webpages through target domain identification
Authors: G. Ramesh, I. Krishnamurthi, K.S.S. Kumar
Journal: Decision Support Systems
Citations: 156
Year of Publication: 2014

Title: Eliminate the interference in 5G ultra-wideband communication antennas in cloud computing networks
Authors: G. Ramesh, J. Logeshwaran, V. Aravindarajan, F. Thachil
Journal: ICTACT Journal on Microelectronics
Citations: 134
Year of Publication: 2022

Title: The management and reduction of digital noise in video image processing by using transmission-based noise elimination scheme
Authors: G. Ramesh, J. Logeshwaran, J. Gowri, A. Mathew
Journal: ICTACT Journal on Image & Video Processing
Citations: 120
Year of Publication: 2022

Title: A ranking model framework for multiple vertical search domains
Authors: S.B. Sriramoju, R. Gadde
Journal: International Journal of Research and Applications
Citations: 36
Year of Publication: 2014

Title: An overview of classification rule and association rule mining
Authors: S.B.S. B. Srinivas, Gadde Ramesh
Journal: International Journal of Scientific Research in Computer Science
Citations: 19
Year of Publication: 2018

Dr Mohamed Azzam | Wastewater reuse | Young Scientist Award |

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Dr. Mohamed Azzam | Wastewater reuse | Young Scientist Award

National Water Research Center, Egypt.

 Dr. Mohamed Azzam is a microbiologist with over ten years of experience, specializing in bioinformatics and metagenomics. He is dedicated to spreading knowledge and innovative approaches in the biological field. Dr. Azzam has developed a rapid and reliable method for directly detecting microbial pathogens in aquatic environments without the need for isolating pure bacterial cultures, using international databases and computational tools.

Professional Profiles:

Education

 Dr. Azzam holds a Doctor of Philosophy (Ph.D.) in Microbiology from the Faculty of Agriculture, Ain Shams University, Cairo, Egypt, awarded in 2015. He also earned a Master’s Degree (M.Sc.) in Microbiology from the same institution in 2010 and a Bachelor’s Degree (B.Sc.) in Microbiology in 2003, both with Very Good with Honor Degrees. Additionally, he holds an International Computer Driving License (ICDL) from UNESCO, obtained in 2012, and scored 550 in the TOEFL® test at Ain Shams University’s Center of Public Service and Social Development.

Professional Experience

Dr. Azzam currently serves as an Analyst of Microbiology in the Microbiology Department at the National Water Research Center in ElKanater, CLEQM, Cairo, Egypt, a position he has held since 2005. He also works as a Lecturer in the Biotechnology Department at HIAC, Ministry of Higher Education, Shubra El Kheima, Cairo, Egypt, since 2009. Additionally, he is a Trainer at the Egyptian Society of Virology (ESV), Faculty of Agriculture, Ain Shams University, where he has been involved in teaching courses on Bioinformatics, Metagenomics, and Venomics since 2014.

Research Interest

 Dr. Azzam’s research interests include water quality, wastewater treatment, biodegradation, and the detection of microbial pathogens in water environments. He is particularly interested in developing novel biological treatments for industrial wastewater and improving wastewater treatment using natural materials and bacteriophages.

Award and Honors

Dr. Azzam has received several awards for his contributions to microbiology and related fields. He was awarded the Perfect Attendance Award by the European Molecular Biology Lab. (EMBL) in Heidelberg, Germany, in November 2016. He also received the Best Paper Award from the Egyptian Society of Virology at the 5th ICV in Hurghada, Egypt, in December 2014.

Research Skills

Dr. Azzam is proficient in a range of research skills, including statistical analysis, bioinformatics, and molecular biology techniques. He is skilled in using software such as Stata, SPSS, R, and various bioinformatics tools for data analysis and interpretation.

Publications

Antibiotics resistance phenomenon and virulence ability in bacteria from water environment
MI Azzam, SM Ezzat, BA Othman, KA El-Dougdoug
Water Science 31 (2), 109-121, 2017

Optimization of fibrinolytic enzyme production by newly isolated Bacillus subtilis Egy using central composite design
ME Moharam, MA El-Bendary, F El-Beih, SMH Easa, MMA Elsoud, …
Biocatalysis and Agricultural Biotechnology 17, 43-50, 2019

Newly isolated coliphages for bio-controlling multidrug-resistant Escherichia coli strains
MA Elbahnasawy, ESE ElSayed, MI Azzam
Environmental Nanotechnology, Monitoring & Management 16, 100542, 2021

An approach using a novel phage mix for detecting Pseudomonas aeruginosa in water
SM Ezzat, MI Azzam
Water and Environment Journal, 2019

Improving wastewater treatment using dried banana leaves and bacteriophage cocktail
N El-Dougdoug, M Nasr-Eldin, M Azzam, A Mohamed, M Hazaa
Egyptian Journal of Botany 60 (1), 199-212, 2020

 

Prof Dr. Ze Sun | Energy Banking | Best Researcher Award

Published on by Shen Awards

Prof Dr. Ze Sun | Energy Banking | Best Researcher Award

Vice Dean at Energy Banking, East China University of Science and Technology, China

Dr. Ze Sun is a Professor and Ph.D. Supervisor at East China University of Science and Technology. He serves as the Vice Dean of the School of Resources and Environmental Engineering. Dr. Sun has a strong academic background and extensive experience in the field. His research interests include environmental engineering and sustainable development. Dr. Sun is highly respected in his field and has made significant contributions to academia and research. He is committed to advancing knowledge and training the next generation of scholars in the field of environmental engineering.

Professional Profiles:

Education:

Prof. Dr. Ze Sun completed his Bachelor’s Degree in Environmental Engineering at East China University of Science and Technology from September 2000 to June 2004. He then pursued his Ph.D. in Chemical Engineering at the same university from September 2004 to June 2009.

Work Experience:

Prof. Dr. Ze Sun has a diverse and extensive work experience in the field of Resources and Environmental Engineering. Since September 2012, he has been serving as an Associate Professor, Professor, and Master’s and Ph.D. Supervisor at the School of Resources and Environmental Engineering. He has also taken on additional responsibilities as the Vice Dean of the School since January 2022. Prior to this, from June 2009 to August 2012, he worked as a Lecturer at the same institution. Dr. Sun has also gained valuable industry experience, serving as the Deputy Director of Research and Development Center at Qinghai Salt Lake Industry Co., Ltd. from December 2016 to December 2017. Additionally, he has engaged in international cooperation and exchange programs, spending time at the University of Birmingham, the University of Nottingham, and others from February 2016 to March 2016. Furthermore, he has contributed to research and academia as a Visiting Scholar at the University of Leeds, UK, from November 2012 to November 2013. With an H-Index of 17, Dr. Sun has made significant contributions to the field through his research. He has published over 90 research papers in renowned journals, including AIChE Journal, Chem. Eng. Sci., Chem. Eng. J., Ind. Eng. Chem. Res., Renew. Energy, Solar Energy, Energy Tech., J. Therm. Sci., and J. Phys. Chem. B. Notably, 60 of these papers are indexed in SCI, highlighting the impact and quality of his work.

Academic Engagement:

In his academic engagements, Prof. Dr. Ze Sun holds several key roles that demonstrate his commitment to advancing knowledge and research in his field. He serves as the Young Associate Editor for the Journal of Salt Lakes Research, contributing to the publication and dissemination of research findings in the field of salt lakes. Additionally, he holds the position of Deputy Secretary-General for the Inorganic Salt Association Energy Storage Committee, where he plays a crucial role in advancing research and development in energy storage technologies involving inorganic salts. Furthermore, Dr. Sun is an active member of the Chinese Nonferrous Metal Society, specifically serving on the Molten Salt Chemistry and Technology Committee. Through these roles, he actively contributes to the advancement of academic research and collaboration in his field.

Award & Honors:

Prof. Dr. Ze Sun has been recognized with several prestigious awards and honors for his outstanding contributions to the field of environmental engineering and chemical engineering. He has received the National Science and Technology Progress Award, Second Class, in recognition of his significant contributions to advancing science and technology in China. Additionally, he has been honored with the China Nonferrous Metal Industry Association Science and Technology Award, First Class, for his innovative research and development in the nonferrous metal industry. Dr. Sun has also been awarded the Shanghai Science and Technology Progress Award, First Class, and the Shanghai Technical Invention Award, Third Class, further highlighting his exceptional achievements and contributions to the field.

Publications:

  1. Acceleration of thermal decomposition of molten nitrates by Cr in steel and promotion of this effect by halogens
    • Authors: Sun, Z.; Luo, Y.; Song, P.; Gao, X.
    • Year: 2023
    • Citations: 3
  2. Granulation of alkaline metal nitrate promoted MgO adsorbents and the low-concentration CO2 capture performance in the fixed bed adsorber
    • Authors: Cai, Y.; Liu, W.; Sun, Z.; Yang, Y.; Li, P.
    • Year: 2022
    • Citations: 11
  3. DFT-based study on the molecular interaction of hydrochloric acid with different extractants
    • Authors: Cao, R.; Tang, P.; Yang, X.; Sun, Z.
    • Year: 2022
    • Citations: 3
  4. Study on hydraulics of pulsed extraction separation device for nitric acid/hydrochloric acid in chloride salt system | 氯盐体系硝酸/盐酸脉冲萃取分离装置水力学研究
    • Authors: Pan, B.; Sun, Z.; Ma, Z.; Dong, C.; Song, X.
    • Year: 2022
    • Citations: 0
  5. Viscosities and Densities of Mixed Aqueous Alkali Metal Nitrate Solutions at T = (293.15-333.15) K
    • Authors: Yao, D.; Tang, P.; Song, P.; Sun, Z.
    • Year: 2022
    • Citations: 2
  6. Extraction kinetics of nitric acid from the nitric acid-hydrochloric acid-potassium chloride solution by tributyl phosphate
    • Authors: Su, L.; Pan, B.; Sun, Z.; Song, P.; Song, X.
    • Year: 2021
    • Citations: 4
  7. Influences of impurity Cl− on the thermal performance of solar salt for thermal energy storage
    • Authors: Sun, Z.; Su, L.; Gao, X.; Song, X.; Yu, J.
    • Year: 2021
    • Citations: 6
  8. Selective Separation of HNO3and HCl by Extraction: The Investigation on the Noncovalent Interaction between Extractants and Acids by Density Functional Theory
    • Authors: Sun, Z.; Su, L.; Yao, D.; Yang, X.; Song, X.
    • Year: 2021
    • Citations: 6
  9. Mechanism of Extracting and Separating Fluoride in Phosphoric Acid by TBP System | 磷酸三丁酯体系萃取分离磷酸中氟化物机理
    • Authors: Xu, H.; Sun, Z.; Yu, J.
    • Year: 2020
    • Citations: 1
  10. Study on preparation of molten salt grade potassium nitrate by reactive extraction method | 反应萃取法制备熔盐级硝酸钾工艺探讨
    • Authors: Su, L.; Zhang, H.; Wang, J.; Song, X.; Yu, J.
    • Year: 2020
    • Citations: 0

Dr. Leila Bandian | Post Harvest | Best Researcher Award

Published on by Shen Awards

Dr. Leila Bandian | Post Harvest | Best Researcher Award

Research Awards at Post Harvest, Ferdowsi University of Mashhad, Iran

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Leila Bandian has a diverse academic background, with a Bachelor’s degree in Biology from Payame Noor University of Bojnour, a Master’s degree in Horticultural Sciences, and a Ph.D. in Horticultural Sciences from Ferdowsi University. Her post-graduate thesis focused on the effects of bentonite application and urea fertilization time on the growth, development, and nitrate accumulation in spinach (Spinacia oleraceae L.). Her doctoral thesis evaluated the effects of polylysine (e-PL) and some plant extracts on the control of caries-causing bacteria and the shelf life of lettuce and basil. Dr. Leila Bandian’s academic journey reflects her expertise in biology and horticultural sciences, with a focus on agricultural practices and plant health.