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. πŸŽ“ He completed his PhD in pharmaceutical sciences from Chongqing University in 2018. πŸ“š 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. πŸš€ His contributions in pharmaceutical science are shaping the future of health and medicine.

Profile

EducationπŸŽ“Β 

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. πŸ“‘ His education combined rigorous theoretical knowledge and hands-on experience in the laboratory, equipping him with the tools necessary for groundbreaking research. πŸ§ͺ He also pursued further professional development through leading postdoctoral research, continuously building on his PhD training. πŸ’‘ His academic foundation serves as the cornerstone for his innovative work in drug discovery and therapeutic development.

ExperienceπŸ§‘β€πŸ«Β 

Liu Junjie is currently a professor and PhD supervisor at Zhengzhou University’s School of Pharmacy. πŸ”¬ He has extensive experience leading pharmaceutical research and managing collaborative research projects. πŸ§‘β€πŸ”¬ 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 HonorsπŸ†

Liu Junjie has received numerous prestigious awards for his contributions to pharmaceutical research. πŸŽ–οΈ 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. πŸ’Ό Additionally, he was awarded the Innovative Talent Award for his role in advancing pharmaceutical research at Henan’s Higher Education Institutions.

Research FocusπŸ”¬Β 

Liu Junjie’s research focuses on the development of innovative drugs and therapeutic treatments. πŸ§ͺ 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. πŸ“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. 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

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

EducationπŸŽ“

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.

ExperienceπŸ’Ό

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 & HonorsπŸ†

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 πŸ”¬

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.

 

JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

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Dr. JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

Associate Professor at Clustering,Β  JAZAN UNIVERSITY , Saudi Arabia

Dr. Jayabrabu Ramakrishnan is an accomplished academic professional with a strong background in information technology, cybersecurity, and related fields. Currently serving as an Associate Professor at Jazan University, Saudi Arabia, since 2014, he holds a Ph.D. in Computer Science from Bharathiar University, India. Dr. Ramakrishnan has received recognition for his research, including the Scientific Research Cash Award from Jazan University. He is also actively involved in industry collaborations, aiming to bridge the gap between academia and industry. Dr. Ramakrishnan’s expertise and dedication to his field make him a valuable asset to the academic community.

Professional Profiles:

Academic and Professional Positions:

Dr. Jayabrabu Ramakrishnan has a rich academic and professional background, currently serving as an Associate Professor in the Department of Information Technology and Security at the College of Computer Science and Information Technology, Jazan University, Saudi Arabia, since January 2024. Prior to this, he held the position of Assistant Professor in the same department from September 2014 to December 2023. Dr. Ramakrishnan’s academic journey began as an Assistant Professor at Karunya University, Coimbatore, India, from June 2008 to July 2008, followed by his role as an Associate Professor in the Department of Computer Applications at Dr. NGP Institute of Technology, Coimbatore, India, from August 2008 to October 2014. Before joining academia, he served as a Lecturer in the Department of Computer Applications at Rajiv Gandhi College of Engineering and Technology, Pondicherry, India, from September 2004 to June 2008.

Education:

Dr. Jayabrabu Ramakrishnan has pursued a diverse educational journey, culminating in a Ph.D. in Computer Science from Bharathiar University, Coimbatore, India, which he completed in 2013. Prior to this, he obtained an M.Phil. in Computer Science from Annamalai University, India, in 2007. Dr. Ramakrishnan’s academic pursuits began with a Master of Computer Applications (MCA) from Pondicherry University, India, in 2004, following his Bachelor of Science degree from Madras University, India, in 2000. Recently, in 2023, he further enhanced his expertise by completing a Postgraduate Program in Artificial Intelligence and Machine Learning (PGP-AIML) from The University of Texas, Austin.

Teaching:

Dr. Jayabrabu Ramakrishnan has a strong background in teaching, with extensive experience in delivering high-quality education in the field of information technology and security. He has taught a variety of courses at both undergraduate and graduate levels, including subjects such as data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan is known for his innovative teaching methods and his ability to engage students in the learning process. He is committed to providing students with a solid foundation in theoretical concepts while also imparting practical skills that are relevant to the industry. Dr. Ramakrishnan’s passion for teaching and his dedication to student success make him a highly respected educator in his field.

Awards and Achievements:

Dr. Jayabrabu Ramakrishnan has been recognized for his exceptional contributions in research, receiving the Scientific Research Cash Award from Jazan University for the years 2019, 2020, and 2021. He established the International Certification Academy within the College of Computer Science and Technology at Jazan University and was honored with the Best Techno Faculty Award in 2014. Dr. Ramakrishnan has signed memorandums of understanding with numerous industries to strengthen industry-institute relationships. He has coordinated conferences and served as a chairperson at various national and international events. Additionally, Dr. Ramakrishnan is a Certified Cisco Networking Associate (CCNA) Instructor Trainer and serves as a reviewer for several international journals and conferences.

Research Experience:

Dr. Jayabrabu Ramakrishnan has a wealth of research experience in the field of information technology and security. His research interests span a wide range of topics, including data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan has published extensively in peer-reviewed journals and conferences, contributing to the advancement of knowledge in his field. He has also been actively involved in supervising research projects and mentoring students, fostering a culture of research excellence. His research experience reflects his commitment to academic and scholarly pursuits, making him a valuable asset to the research community.

Publications:

  1. A comprehensive and systematic review of the network virtualization techniques in the IoT
    J Ramakrishnan, MS Shabbir, NM Kassim, PT Nguyen, D Mavaluru
    International Journal of Communication Systems 33 (7), e4331
    Year: 2020
    Citations: 61
  2. A new efficient design for random access memory based on quantum dot cellular automata nanotechnology
    A Mubarakali, J Ramakrishnan, D Mavaluru, A Elsir, O Elsier, K Wakil
    Nano Communication Networks 21, 100252
    Year: 2019
    Citations: 45
  3. Fog-based delay-sensitive data transmission algorithm for data forwarding and storage in cloud environment for multimedia applications
    A Mubarakali, AD Durai, M Alshehri, O AlFarraj, J Ramakrishnan, …
    Big Data 11 (2), 128-136
    Year: 2023
    Citations: 23
  4. Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
    J Ramakrishnan, D Mavaluru, RS Sakthivel, AS Alqahtani, A Mubarakali, …
    Neural Computing and Applications, 1-15
    Year: 2020
    Citations: 21
  5. An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
    S Eswaran, V Rani, D Daniel, J Ramakrishnan, S Selvakumar
    International Journal of Pervasive Computing and Communications 18 (1), 59-78
    Year: 2021
    Citations: 10
  6. A framework for fraud detection system in automated data mining using intelligent agent for better decision making process
    R Jayabrabu, V Saravanan, JJ Tamilselvi
    2014 International Conference on Green Computing Communication and …
    Year: 2014
    Citations: 9
  7. Investigation of hybrid spectrum slicing-wavelength division multiplexing (SS-WDM) in transparent medium for mode division multiplexing applications
    AS Alqahtani, UA Kumar, J Ramakrishnan, P Parthasarathy, A Mubarakali, …
    Optical and Quantum Electronics 55 (3), 243
    Year: 2023
    Citations: 8
  8. A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents
    R Jayabrabu, V Saravanan, K Vivekanandan
    arXiv preprint arXiv:1202.1945
    Year: 2012
    Citations: 8

 

Dr. Abdelilah BENOUAJJIT | Validation | Best Researcher Award

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Dr. Abdelilah BENOUAJJIT | Validation | Best Researcher Award

Primary Education Teacher at Validation, Faculty of Medicine, Pharmacy and Dentistry, Israel

Abdelilah BENOUAJJIT is a professional with a background in Biology, currently pursuing a Doctorate at the Faculty of Medicine, Pharmacy, and Dental Medicine, focusing on the prevalence of Dementia/Alzheimer’s in Morocco. With a Master’s degree in Integrative Biology, Pathophysiology, and Health, and a Bachelor’s in Animal Biology, Abdelilah has a strong academic foundation in the field. He has professional experience as a primary school teacher and has completed training in professional teaching at CRMEF KHEMISSET. Abdelilah has also conducted research and published articles in reputable journals such as SLEEP EPIDEMIOLOGY and SLEEP MEDICINE, demonstrating his commitment to advancing knowledge in his field. He possesses skills in Microsoft Office and SPSS and is fluent in Arabic, French, and English.

Professional Profiles:

πŸ“š Education:

  • 2022-2024: Second year of Doctorate at the Faculty of Medicine, Pharmacy, and Dental Medicine. Topic: “Prevalence of Dementia/Alzheimer’s in Morocco.”
  • 2020-2021: Master’s in Biology. Title: “Integrative Biology, Pathophysiology, and Health.”
  • 2016-2017: Bachelor’s in Animal Biology.
  • 2011-2012: High School Diploma in Life and Earth Sciences.

πŸ’Ό Professional Experience:

  • 2023-2024: Publication of a scientific article in the journal SLEEP EPIDEMIOLOGY titled “Moroccan validation of the dysfunctional beliefs and attitudes about sleep (DBAS16) scale.” doi: Link
  • 2022-2024: Primary school teacher at S/S. Ouled zaid.
  • 2021-2022: Professional teaching training at CRMEF KHEMISSET.
  • 2020-2021: Publication of a scientific article in the journal SLEEP MEDICINE titled “Sleep quality and mental health in the context of the COVID-19 pandemic and lockdown in Morocco.” doi: Link
  • 2019-2020: Internship and training in cerebral electrophysiology at Hassan 2 Hospital Center.

πŸ’» Skills:

  • Microsoft Office (Word, Excel, PowerPoint)
  • SPSS (Statistical Package for the Social Sciences)

 

Dr. Saul Santini | Analytical Chemistry | Best Researcher Award

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Dr. Saul Santini | Analytical Chemistry | Best Researcher Award

PhD candidate at Analytical Chemistry, University of Florence, Italy

πŸ‘¨β€πŸŽ“He 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.

πŸ”¬ He 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.

πŸ† 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 πŸ“š

Saul Santini completed his PhD in Chemical Sciences at the University of Florence, Italy, from November 2020 to October 2023. His research involved the development of analytical procedures for the determination of emerging organic compounds, including the analysis of contaminants in fish samples, rodenticides in owl samples, and phthalates in Talitrus saltator samples. He also worked on determining trace elements in cosmetics and assessing their toxic effects on humans. Saul collaborated with the TecnaTox research center at the University of Tarragona on the analysis of microplastics in human and pig intestine samples and monitored microplastic contamination levels in edible mollusks along the Mediterranean coasts. Additionally, he optimized analytical methods for analyzing pesticides in food matrices and participated in environmental monitoring campaigns. Three of his papers are currently under review in international journals.

Work Experience:

Saul Santini has held several positions in the field of education and chemical safety. Since November 2023, he has been working as a Secondary School Teacher at Istituto Superiore A. Checchi, where he teaches Chemical Science and Technology. He is also a Worker Safety Trainer at ITT Marco Polo, providing safety training for students undertaking the PCTO route and assigned a medium risk. Additionally, Saul works as a Chemical Risk Consultant at a chemical materials production company, where he updates the company’s Risk Assessment Document. He also serves as a Risk Assessment Document Auditor for a social cooperative, reviewing their documents across different territorial sectors.

Training:

Saul Santini completed his Master’s Degree in Chemical Sciences at the University of Florence, Italy, from September 2015 to July 2017. His dissertation, titled “Legacy and new persistent organic pollutants in Somniosus Microcephalus from NE Greenland,” earned him a final grade of 110/110 cum laude. Prior to his master’s, Saul obtained his Bachelor’s Degree in Chemistry from the University of Florence, from September 2011 to April 2015. His dissertation focused on the investigation of pH and phosphate species in PAAm hydrogels, and he achieved a final grade of 102/110. Saul also holds a Diploma in Industrial Chemistry from ITIS Tullio Buzzi, Prato, Italy, where he studied from September 2005 to July 2011, achieving a final grade of 75/100. Additionally, Saul participated in an Erasmus+ Traineeship at Universitat Rovira i Virgili in Tarragona, Spain, from September 2017 to March 2018. Under the supervision of Prof. M. Schumacher, he worked on two activities: developing a model for predicting the response of aqueous film-forming foams (AFFFs) in S. Francisco Bay, and conducting outdoor and indoor air monitoring in 12 schools in Tarragona.

Academic and Professional Achievements:

Doctoral Scholarship Department of Excellence

  • Dates: 2020 – 2023
  • Institute: University of Florence, Department of Excellence
  • Details: Scholarship Winner as 1st place in the competition for the XXXVI cycle of the Doctorate in Chemical Sciences

Representative of Doctoral Students

  • Dates: 06/2021 – 10/2023
  • Institute: Department of Chemistry ‘Ugo Schiff’, University of Florence, Italy

Research Fellows Representative

  • Dates: 02/2020 – 10/2020
  • Institute: Department of Chemistry ‘Ugo Schiff’, University of Florence, Italy

Certificate for Trainers for Safety at Work

  • Dates: 02/2021 – 12/2021
  • Institute: National Order of Chemists and Physicists

Registration Order of Chemists and Physicists

  • Dates: 2021 – present
  • Institute: Regional Order of Chemists and Physicists of Tuscany – Chemistry Sector

Dr. Mihaela Tanase-Opedal | Chemical Engineering | Best Researcher Award

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Dr. Mihaela Tanase-Opedal | Chemical Engineering | Best Researcher Award

Senior Researcher at Chemical Engineering, RISE PFI AS, Norway

πŸ‘¨β€πŸŽ“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.

πŸ”¬ 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.

πŸ† 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. Mihaela Tanase-Opedal completed her Ph.D. in 2011 with a dissertation titled “Extractives in process water from compressive pre-treatment of chips in mechanical pulping” at the Department of Chemical Engineering, Faculty of Natural Science and Technology (NTNU) in Norway. Her disputation date was on 30.03.2011. Prior to this, in 2006, she pursued a study on “Methods of consolidation, conservation, and restoration of documents on paper support” at the Faculty of Chemical Engineering and Environmental Protection, “Gh. Asachi” Technical University Iasi, Romania.

Position:

Dr. Mihaela Tanase-Opedal has held various positions in research and science. Since 2020, she has been working as a Senior Research Scientist at RISE PFI in Trondheim, Norway. Prior to this role, she worked at the same institution as a Research Scientist from 2011 to 2020. Additionally, in June 2008, she took on a summer job at Norske Skog Saugbrugs Halden in Norway, where she was involved in a project focusing on mechanical bleaching.

Experience:

From 2021 to 2024, she served as the Work Package (WP) leader for the project titled “Green wax inhibitors and production chemicals based on lignin (LignoWax),” funded by the Research Council of Norway. In the same period (2021-2023), she took on the role of Project Leader for a preliminary study focused on the optimal recovery of chemicals from process water. This project was owned by Rygene Smith&Thommesen AS and received funding from Innovation Norway. In another project from 2021 to 2022, she led a WP for the project “BΓ¦rekraftig fiskefΓ΄r fra norsk skogbasert biomasse (FΓ΄rNor),” which was an IPN project (321588). In this project, she was both the Project Leader and the project owner, representing Synergifabrikken AS. RISE PFI participated in this project as a partner and was also a WP leader. Continuing her active involvement, from 2020 to 2024, Dr. Mihaela Tanase-Opedal acted as the WP leader for the project “Produksjon av Arbacore pellets and fΓ΄rprotein fra trevirke (ArbaFeed),” which was another IPN project (ES656466). In this project, she served as both the Project Leader and the project owner for Arbaflame, with RISE PFI participating as a partner and WP leader. In 2020-2022, she led the “FISK” project, part of the EU Project-Interreg Sverige-Norge.

 

Prof Dr. Daniela Martins Fernandes de Oliveira | FΓ­sico-QuΓ­mica | Best Researcher Award

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Prof Dr. Daniela Martins Fernandes de Oliveira | FΓ­sico-QuΓ­mica | Best Researcher Award

Professor at Universidade Estadual de MaringΓ‘ , Brazil

πŸ‘¨β€πŸŽ“He 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.

πŸ”¬ He 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.

πŸ† 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. [Nome em citaçáes bibliogrΓ‘ficas], completed her Ph.D. in Chemistry at the State University of MaringΓ‘ (UEM), Maringa, Brazil, from 2005 to 2009. Her research focused on the synthesis and characterization of nanostructured metallic oxides and their application in nanocomposites with poly(vinyl alcohol). During this time, she was under the guidance of Edgardo Alfonso GΓ³mez Pineda and received a scholarship from Coordenação de AperfeiΓ§oamento de Pessoal de NΓ­vel Superior (CAPES). Her work involved techniques such as XRD, SEM, FTIR, TGA, and nanoparticle analysis, contributing to the fields of physical chemistry, nanostructured materials, and polymers and composites for the development of new materials. Prior to her Ph.D., she completed her Master’s in Chemistry at UEM, focusing on the thermal stability of blends of poly(vinyl alcohol) and modified lignin, from 2003 to 2005. She continued her academic journey with a Bachelor’s in Chemistry from UEM in 1999-2002. After her Ph.D., she pursued postdoctoral studies from 2010 to 2011 at UEM, furthering her expertise in physical chemistry, polymers and composites, and nanostructured materials. Dr. [Nome em citaçáes bibliogrΓ‘ficas] is currently an Associate Professor at UEM, specializing in physical chemistry, and serves as the Deputy Coordinator of the Postgraduate Program in Chemistry (PQU-UEM – Grade 6.0 CAPES). She is also a CNPq Research Productivity Fellow – level 2 since March 2022 and coordinates the Research Group in Polymers, Biomass, and Nanomaterials (GPBN), focusing on materials chemistry for environmental and biomedical applications, with an h-index of 15 according to ISI and Scopus.

Training:

2007: Completed a 6-hour Short Course in I Symposium on Sugarcane Technology University: State University of MaringΓ‘ (UEM), Maringa, Brazil

2004: Completed a 6-hour Short Course in Fundamentals of Thermal Analysis: TG, DSC, TMA, and DMA Event: IV Brazilian Congress of Thermal Analysis and Calorimetry (IV CBRATEC), Brazil

1999 – 2000: Completed a 180-hour University Extension Course in Chemistry University: State University of MaringΓ‘ (UEM), Maringa, Brazil

professional:

The user has a significant professional background, including various roles and responsibilities at the Universidade Estadual de MaringÑ (UEM). They have been a Servidor público since 2012, holding the position of Professor Associado-B with a workload of 40 hours under a regime of Dedicação exclusiva. They have held several administrative positions, including Coordenadora Adjunta of the Programa de Pós-Graduação em Química (PQU-UEM) for multiple terms, and have been a member of various academic councils and committees within the university. Their teaching experience includes courses in both the undergraduate and postgraduate programs in Química, specializing in areas such as Química de Polímeros and Físico-Química. Their research interests encompass Nanofibras eletrofiadas, Química de Materiais, Polímeros e Compósitos, Materiais Nanoestruturados, Polímeros Naturais, and Polímeros Biocompatíveis. More details can be found in their Currículo Lattes.

 

Daniela Martins Fernandes de Oliveira ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 633, Since 2018: 631
  • Citations: 633 (All), 631 (Since 2018)
  • h-index: 12 (All), 12 (Since 2018)
  • i10-index: 13 (All), 13 (Since 2018)

These metrics showcase the impact of Daniela Martins Fernandes de Oliveira ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Areas of expertise:

  1. Physical Chemistry
  2. Polymers and Composites
  3. Nanostructured Materials
  4. Biomass Degradation
  5. Thermal Analysis of Materials

Publications:

Synthesis and characterization of ZnO, CuO and a mixed Zn and Cu oxide

  • Published in Energy in 2009 with 243 citations.

Fe-doped ZnO nanoparticles: Synthesis by a modified sol–gel method and characterization

  • Published in Energy in 2006 with 148 citations.

Thermal and photochemical stability of poly (vinyl alcohol)/modified lignin blends

  • Published in Energy in 2019 with 142 citations.

Preparation, characterization, and photoluminescence study of PVA/ZnO nanocomposite films

  • Published in Energy in 2011 with 135 citations.

Co-doped ZnO nanoparticles synthesized by an adapted sol–gel method: effects on the structural, optical, photocatalytic and antibacterial properties

  • Published in Energy in 2014 with 94 citations.

Dr. Izrarahmad l Hydrochemistry | Best Researcher Award

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Dr. Izrarahmad | Hydrochemistry | Best Researcher AwardΒ 

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 – Present) Responsibilities: Teaching various geology and hydrogeology courses, leading research projects. Soil & Water Resources Specialist, Dubai Municipality, Dubai, UAE: (April 2015 – 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)

πŸ“– PublicationsΒ  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, α, ρ, 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 GeodesicΒ E-Convex Sets, GeodesicΒ E-Convex Functions andΒ 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 inΒ  2006 Cited by 43

Assoc Prof Dr. Phan Van Hung | Science | Best Researcher Award

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Assoc Prof Dr. Phan Van: Leading Researcher in Science

Head of Department at Science , Vietnam Maritime University, Vietnam

He 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.

πŸ”¬ He 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.

πŸ† 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:

He academic journey has been defined by a profound dedication to the field of Maritime Education and Transportation Systems. Currently, He serve as a Professor at Vietnam Maritime University in Haiphong, Vietnam, a role He have held since August 2018. Prior to this, He pursued Ph.D. in Maritime Transportation System Education at Mokpo National Maritime University in Mokpo, Jeollanam-do, South Korea, from August 2015 to August 2018. Here, he delved deep into the complexities of maritime transportation systems, enriching my understanding of this critical area. He educational pursuit began with a Master’s degree in the Faculty of Navigation at Vietnam Maritime University, where I honed He foundational knowledge from August 2010 to June 2013. These academic endeavors have not only equipped me with the expertise to navigate the intricate waters of maritime education but have also instilled in a passion to continue pushing the boundaries of knowledge in this vital field. πŸŒŠπŸ“š

Phan Van Hung ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 47, Since 2018: 46
  • Citations: 47 (All), 46 (Since 2018)
  • h-index: 4 (All), 4 (Since 2018)
  • i10-index: 1 (All), 1 (Since 2018)

These metrics showcase the impact of Van Hung ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Employment:

Since March 2010, I have had the privilege of contributing to the academic landscape as a member of the faculty at Vietnam Maritime University in Haiphong, Vietnam. In this role within the Faculty of Navigation, I have been dedicated to imparting knowledge and fostering the development of future professionals in the maritime industry. My tenure at Vietnam Maritime University has been marked by a commitment to excellence in education, where I have strived to cultivate a rich learning environment that nurtures both academic growth and practical skills. This journey has allowed me to engage with students, colleagues, and the maritime community, enriching my understanding of the field while also contributing to its advancement. Each day presents new opportunities to inspire and be inspired by the maritime leaders of tomorrow, and I look forward to continuing this journey of knowledge and discovery. πŸŒŠπŸ“š

Research Achievements:

In a bid to safeguard marine ecosystems from the threats posed by biological organisms transported via ballast water, the International Maritime Organization established the International Convention on the Control and Management of Ballast Water and Ship Sediments in 2004. This convention has spurred significant research and development efforts, with UV radiation emerging as a promising method due to its effectiveness and alignment with convention requirements. However, the large capacity of UV reactors in ballast water treatment systems often necessitates multiple high-power UV lamps, leading to substantial energy consumption and costs. To address these challenges, this study focuses on the development of a controller for UV reactors in ship-based ballast water treatment systems. The aim is to optimize UV radiation control, thereby extending the lifespan of UV lamps, reducing energy consumption, and ensuring effective disinfection. Experimental findings from ship-based trials demonstrate the efficacy of the developed UV controller, highlighting its potential to enhance the efficiency and sustainability of ballast water treatment systems. πŸš’πŸ”¬

Publications:

An analysis of available solutions for commercial vessels to comply with IMO strategy on low sulphur

  • Published in Energy in 2020 with 14 citations.

Distribution of oil spill response capability through considering probable incident, environmental sensitivity and geographical weather in Vietnamese waters

  • Published in Energy in 2018 with 6 citations.

Cooperative response to marine hazardous and noxious substances and oil spill incidents in the ASEAN region

  • Published in Energy in 2019 with 5 citations.

Negative refractive index-shaped lens antenna with straight line condition for wide angle beam scanning

  • Published in Energy in 2022 with 4 citations.

Caustics and beam steering calculations of negative refractive index lens antenna by the ray tracing method

  • Published in Energy in 2020 with 4 citations.

Sea navigation-based Thai Canal implication: an analysis of its effect on the Vietnamese maritime industry

  • Published in Energy in 2020 with 4 citations.