Tanvir Ahamed | Environmental engineering | Best Researcher Award

Published on by World Top Scientists

Mr. Tanvir Ahamed | Environmental engineering | Best Researcher Award

PhD Candidate, New Jersey Institute of Technology, United States

Tanvir Ahamed is a dedicated Ph.D. candidate at the Otto H. York Department of Chemical and Materials Engineering at the New Jersey Institute of Technology. With a strong foundation in civil and environmental engineering, he has focused his research on innovative solutions for sustainable water management. Tanvir’s work spans from investigating biofilms and water chemistry to the interaction of graphene oxides with microbial communities in water treatment systems. His commitment to advancing water reuse in agriculture through biologically active filters showcases his passion for environmental engineering and sustainability. πŸŒ±πŸ”¬

Profile

Google scholar

Education

Tanvir Ahamed is currently pursuing his Ph.D. in Chemical Engineering at the New Jersey Institute of Technology, where he maintains a CGPA of 3.625. He holds a Master of Science in Civil Engineering with a concentration in Environmental Engineering from the University of Memphis, graduating with a CGPA of 3.72 in 2020. His academic journey began with a Bachelor’s degree in Civil and Environmental Engineering from Shahjalal University of Science & Technology in Bangladesh, where he achieved a CGPA of 3.20. πŸ“˜πŸŽ“

Experience

Tanvir has amassed significant research experience as a Graduate Research Assistant at the New Jersey Institute of Technology, focusing on mixed media biologically active filters for water reuse in agriculture irrigation. Previously, he worked at Texas Tech University on the functionalization of graphene family nanomaterials to support microbial attachment and growth. At the University of Memphis, his research involved studying lead deposition on polyethylene and investigating stormwater quality at industrial facilities. πŸ§‘β€πŸ”¬πŸ’Ό

Research Interests

Tanvir’s research interests lie at the intersection of environmental engineering and materials science. He is particularly focused on the development and application of biologically active filtration systems for sustainable water management. His work also explores the role of graphene oxides in water treatment and the impact of biofilms and water chemistry on lead deposition in potable water systems. πŸŒπŸ’§

Awards

Throughout his academic career, Tanvir has received several accolades, including the Graduate Student Grants-In-Aid in 2023 for his research on biologically active filters funded by NJWRRI through USGS. He was also awarded the Dhaka Board Scholarship in the Secondary School Certificate Examination in Bangladesh and received multiple government scholarships during his school years. πŸ†πŸŽ–οΈ

Publications

  1. Ahamed, T., Brown, S. P., & Salehi, M. (2020). Investigate the role of biofilm and water chemistry on lead deposition onto and release from polyethylene: An implication for potable water pipes. Journal of Hazardous Materials, 400, 123253. DOI:10.1016/j.jhazmat.2020.123253
    • Cited by: 12 articles
  2. Salehi, M., DeSimone, D., Aghilinasrollahabadi, K., & Ahamed, T. (2020). A case study on tap water quality in large buildings recommissioned after extended closure due to the COVID-19 pandemic. Environmental Science: Water Research & Technology. DOI:10.1039/D1EW00428J
    • Cited by: 8 articles
  3. Rushdi, M. I., Basak, R., Das, P., Ahamed, T., & Bhattacharjee, S. (2023). Assessing the health risks associated with elevated manganese and iron in groundwater in Sreemangal and Moulvibazar Sadar, Bangladesh. Journal of Hazardous Materials Advances, 10, 100287. DOI:10.1016/j.hazadv.2023.100287
    • Cited by: 3 articles
  4. Ahamed, T., Li, C., Li, M., & Axe, L. (2024). Interaction of graphene oxide with the microbial community of biologically active filters from a water treatment plant. Water Research, 122155. DOI:10.1016/j.watres.2024.122155
    • Cited by: 5 articles

Muthurasu A | Materials Science | Best Researcher Award

Published on by World Top Scientists

Dr. Muthurasu A | Materials Science | Best Researcher Award

Research Professor, Jeonbuk National University, South Korea

Profile

Scopus

Professional Experience:

  • Design of robust electrocatalysts for energy storage and conversion applications.
  • Expertise in electrochemical, spectroscopic, and microscopic characterization techniques.
  • Construction and design of electrodes for batteries, fuel cells, and supercapacitors.
  • Supervision of master and doctoral students.
  • Development of research proposals for Korean national research funding.
  • Participation in national and international conferences, lab management, group meetings, and leadership.
  • Writing research papers and managing the laboratory.

Previous Positions:

  • Junior Research Fellow, Council of Scientific & Industrial Research (CSIR-NET, All India Rank of 62), Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (04/2012 – 02/2017)
  • Project Assistant, Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (11/2010 – 03/2012)

Research Contributions:

  • Electrochemical synthesis of nitrogen-doped graphene quantum dots and graphene oxide.
  • Synthesis of various nanomaterials for electrocatalytic applications.
  • Development of monolayers on metallic substrates for electrochemical studies.
  • Immobilization of enzymes on modified metal substrates.

Academic Qualifications:

  • Ph.D. Chemical Science, Central Electrochemical Research Institute, Karaikudi, Tamil Nadu, India (03/2012 – 05/2017)
  • M.Sc. General Chemistry, The American College, Madurai, India (03/2008 – 05/2010)
  • B.Sc. General Chemistry, The American College, Madurai, India (03/2005 – 05/2008)

Awards and Fellowships:

  • National Research Fellowship (NRF), Government of South Korea (2021-2024)
  • Brain Korea 21(Four) Postdoctoral Fellowship, Jeonbuk National University, Republic of Korea (12/2020)
  • Junior and Senior Research Fellowship, Council of Scientific and Industrial Research (CSIR-NET), Government of India (04/2010 – 02/2017)
  • Graduate Aptitude Test for Engineering (GATE-2010), Government of India (All India Rank of 946)
  • Best Oral Award, Nineteenth Convention of Electrochemistry (NCE-19), National Institute of Technology, Tiruchirappalli, Tamil Nadu, India (29/03/2016)
  • Best Oral Award, BIN conference, Jeonbuk National University, Jeonju, South Korea (15/12/2020)

Selected Publications:

  1. A. Muthurasu, T. Kim, T. Hoon Ko, K. Chhetri, H.Y. Kim. “Interfacial electronic modification of nickel phosphide via iron doping: An efficient bifunctional catalyst for water/seawater splitting,” Adv. Funct. Mater. (2024) 10.1002/adfm.202404254.
  2. Y.R. Rosyara, A. Muthurasu, et al. “Highly Porous Metal-Organic Framework Entrapped by Cobalt Telluride-Manganese Telluride as an Efficient Bifunctional Electrocatalyst,” ACS Appl. Mater. Interfaces. 16 (2024) 10238-10250.
  3. A. Muthurasu, V. Ganesh. “Tuning optical properties of graphene quantum dots using photoexcited TiO2 for catalytic application,” Opt. Mater. (Amst). 148 (2024) 114834.
  4. A. Muthurasu, I. Pathak, et al. “Cutting-edge nitrogen, boron, and fluorine triply doped chain-like porous carbon nanofibers: a versatile solution for high-performance zinc-air batteries and self-powered water splitting,” J. Mater. Chem. A. 12 (2023) 1826-1839.
  5. D. Acharya, T. H. Ko, A. Muthurasu, et al. “Double-phase engineering of cobalt sulfide/oxyhydroxide on metal-organic frameworks derived iron carbide-integrated porous carbon nanofibers for asymmetric supercapacitors,” Adv. Compos. Hybrid Mater. 6 (2023) 179.
  6. A. Muthurasu, P. Sampath, et al. “Partial selenium surface modulation of metal-organic framework assisted cobalt sulfide hollow spheres for high-performance bifunctional oxygen electrocatalysis and rechargeable zinc-air batteries,” Appl. Catal. B Environ. 330 (2023) 122523.

Maha Thafar | Data mining | Best Researcher Award

Published on by World Top Scientists

Dr. Maha Thafar | Data mining | Best Researcher Award

Assistant Professor, Taif University, Saudi Arabia

 

Dr. Maha Thafar is an Assistant Professor at Taif University, Saudi Arabia. She specializes in artificial intelligence, machine learning, data science, and bioinformatics. Dr. Thafar earned her B.S. in computer science from King Abdulaziz University and her M.S. from Kent State University. She completed her Ph.D. at King Abdullah University of Science and Technology (KAUST), focusing on computational methods for bioinformatics. Her research aims to apply AI and machine learning techniques to biomedical and healthcare domains, with a special interest in drug repositioning.

Profile

Orcid

Education

πŸ“š Ph.D. in Computer Science (Bioinformatics), King Abdullah University of Science and Technology (KAUST), Saudi Arabia (2016 – present)
Dr. Thafar’s doctoral research at KAUST’s Computational Bioscience Research Center focuses on developing AI-driven methods for bioinformatics applications.

πŸ“– Master of Science in Computer Science, Kent State University, USA (2013 – 2015)
During her master’s studies, Dr. Thafar honed her skills in computer science, emphasizing machine learning and data analysis.

πŸŽ“ Bachelor of Science in Computer Science, King Abdulaziz University, Saudi Arabia
Her undergraduate education laid the foundation for her expertise in computer science and bioinformatics.

Experience

πŸ‘©β€πŸ« Assistant Professor, Taif University, Saudi Arabia (June 2022 – present)
Dr. Thafar is engaged in teaching and research in the College of Computers and Information Technology, where she integrates her AI and bioinformatics knowledge into her curriculum.

πŸŽ“ Ph.D. Student, King Abdullah University of Science and Technology (KAUST), Saudi Arabia (August 2016 – present)
While pursuing her doctorate, she has been deeply involved in cutting-edge research, focusing on bioinformatics and computational biosciences.

Research Interests

πŸ”¬ Dr. Thafar’s research interests encompass the development of computational methods using artificial intelligence, machine learning, and data and graph mining. She applies these techniques to biomedical and healthcare domains, particularly drug repositioning, which aims to find new therapeutic uses for existing drugs.

Publications Top Notes

Dr. Thafar has a rich portfolio of research publications, many of which are highly cited and published in prestigious journals. Here are some notable publications:

  1. FutureCite: Predicting Research Articles’ Impact Using Machine Learning and Text and Graph Mining Techniques (2024), Mathematical and Computational Applications
    Cited by: This article explores the prediction of research impact using advanced machine learning techniques.
  2. OncoRTT: Predicting novel oncology-related therapeutic targets using BERT embeddings and omics features (2023), Frontiers in Genetics
    Cited by: This research utilizes BERT embeddings to identify new therapeutic targets in oncology.
  3. Exploiting machine learning models to identify novel Alzheimer’s disease biomarkers and potential targets (2023), Scientific Reports
    Cited by: A study leveraging machine learning to uncover biomarkers and targets for Alzheimer’s disease.
  4. VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants (2023), Briefings in Bioinformatics
    Cited by: This paper introduces a deep learning method for predicting genetic variant functions.
  5. Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications (2022), PeerJ
    Cited by: An innovative approach combining knowledge graphs and text for drug interaction predictions.

NEHA KATIYAR | Machine Learning | Best Research Article Award

Published on by World Top Scientists

MS. NEHA KATIYAR | Machine Learning | Best Research Article Award

RESEARCH SCHOLAR, Bennett university, India

 

Neha Katiyar is an Assistant Professor at Noida Institute of Technology, Greater Noida, India. With a robust background in Information Technology and Computer Science, she has contributed significantly to academia through teaching, research, and project management.

Profile

Scopus

Education

πŸŽ“ Doctorate
Bennett University, Greater Noida (July 2023 – Present)
Department: Computer Science & Engineering

πŸŽ“ Master of Technology
Madan Mohan Malviya University of Technology, Gorakhpur (Aug 2018 – July 2020)
Department: Information Technology and Computer Application
Percentage: 69% (First Division)

πŸŽ“ Bachelor of Technology
Sir Chootu Ram Institute of Engineering & Technology, Meerut (July 2015 – June 2018)
University: Chaudhary Charan Singh University, Meerut, U.P
Course: Information Technology
Percentage: 74% (First Division)

πŸŽ“ Diploma in Engineering
Government Girls Polytechnic, Lucknow (July 2010 – December 2013)
University: Board of Technical Education, Lucknow UP
Course: Information Technology
Percentage: 70% (First Division)

πŸŽ“ High School
Soni Pariya Inter College, Farrukhabad (Apr 2009 – Mar 2010)
Board: Board of High School and Intermediate Education, U.P.
Percentage: 58% (Second Division)

Experience

πŸ’Ό Assistant Professor
Noida Institute of Technology, Greater Noida (11 April 2022 – 17 May 2023)
Responsibilities included evaluation of copies, research work, academic work, and preparation of question banks and presentations.

πŸ’Ό Academic Associate
Indian Institute of Management, Rohtak (22 July 2021 – 7 April 2022)
Assisted faculties, conducted empirical research, managed conferences, and evaluated copies.

πŸ’Ό Research Assistant
Ajay Kumar Garg Engineering College, Ghaziabad (12 Oct 2020 – 16 Jul 2021)
Worked on a project titled “Compressed parallel wavelet tree based on semantic search” funded by the Council of Science And Technology, Uttar Pradesh (UPCST).

Research Interest

πŸ”¬ Neha’s research interests include Cyber Security, Internet of Things (IoT), Machine Learning, and Artificial Intelligence. She has actively participated in various projects and research works, contributing to advancements in these fields.

Publications Top Notes

πŸ“š Neha has authored several research papers and articles in reputed journals and conferences. Below are some of her notable publications:

Diabetes detection using IoT techniques and platform: A Survey – Published in the 1st International Conference on Recent Trends in Computer Science and Information Technology (ICRCSIT-20) at St. Martin’s Engineering College Secunderabad Telangana, on 17-18 June 2020.

A review: Target Based Sentiment Analysis using Machine Learning – Published in the 4th International Conference on Microelectronics and Telecommunications at SRM Institute of Science and Technology NCR Campus, on 26-27 Sept. 2020 (Springer Conference).

Index Optimization using Wavelet Tree and Compression – Published in the 2nd International Conference on Data Analytics and Management Conference (ICDAM 2021) at Panipat Institute of Engineering and Technology, on 26 June 2021.

A Survey on Wavelet Tree ensembles with Machine Learning and its classification – Published in 2021 at Sreyas Institute of Engineering and Technology, Hyderabad, on 9-10 July 2021.

A perspective towards 6G Networks – Published in the 5th ICMETE21 at SRM Institute of Science and Technology NCR Campus, on 24-25 Sept. 2021 (Springer Conference).

Trending IoT platform Middleware layer – Published in Taylor and Francis Group Journal on 3 May 2023.

Tayfun YΓΆrΓΌk | Human-Computer Interaciton | Best Researcher Award

Published on by World Top Scientists

Assoc Prof Dr. Tayfun YΓΆrΓΌk | Human-Computer Interaciton | Best Researcher Award

Academician, Akdeniz University, Turkey

Assoc. Prof. Tayfun YΓΆrΓΌk is currently serving as Assistant Professor at Akdeniz University’s Faculty of Applied Sciences, specializing in Management Information Systems. With a robust academic background in Educational Sciences and significant experience in educational technology and administration, his research focuses on various aspects of educational management, curriculum development, and the integration of technology in education.

Education πŸŽ“

  • Doctorate, Akdeniz University, Institute of Educational Sciences, Educational Management, Inspection, Planning, and Economics, Turkey, 2013-2017
  • Postgraduate, Akdeniz University, Institute of Educational Sciences, Educational Management and Inspection, Turkey, 2005-2013
  • Undergraduate, Middle East Technical University, Faculty of Education, Computer and Instructional Technologies Education, Turkey, 1999-2004

Experience πŸ”

Assoc. Prof. YΓΆrΓΌk has held various academic and administrative positions:

  • Assistant Professor, Akdeniz University, Faculty of Applied Sciences, Department of Management Information Systems, 2018 – present
  • Deputy Head of Department, Akdeniz University, Faculty of Applied Sciences, Department of Management Information Systems, 2018-2023
  • Head of Student Affairs, Akdeniz University, 2018-2020
  • Branch Manager, Department of Information Technologies, Akdeniz University, 2017-2018

Research Interests 🎯

Assoc. Prof. YΓΆrΓΌk’s research interests include:

  • Educational Sciences
  • Educational Economics and Planning
  • Administration and Supervision in Education
  • Educational Technology
  • Curriculum Development
  • Teacher Training
  • Computer Education and Instructional Technology

Awards πŸ†

Assoc. Prof. YΓΆrΓΌk has been recognized for his contributions to educational research and management with multiple awards, including [mention specific awards if available].

PublicationsΒ  Top NotesπŸ“

Olga Shcherbina | Luminescent ceramics | Best Researcher Award

Published on by World Top Scientists

Prof. Olga Shcherbina | Luminescent ceramics | Best Researcher Award

Senior researcher, Tananaev Institute of Chemistry – Subdivision of the Federal Research Centre Β«Kola Science Centre of the Russian Academy of SciencesΒ» Science Centre of Russian Academy of Sciences, Russia

πŸ§ͺ Olga Borisovna Shcherbina is a Senior Researcher at the Laboratory of Electronic Materials at the I.V. Tananaev Institute of Chemistry and Technology of Rare Elements and Mineral Resources, Kola Science Center, Russian Academy of Sciences. With a career spanning over three decades, she is an expert in the field of crystalline and ceramic functional materials.

Profile

Scopus

Education

πŸŽ“ In 1987, Olga graduated from the Leningrad Electrotechnical Institute named after Ulyanov (Lenin). She earned her Candidate of Technical Sciences degree in 2012 with a focus on “Crystalline and Ceramic Functional and Structural Materials Based on Niobium and Tantalum Oxide Compounds with Micro- and Nanostructures.”

Experience

πŸ’Ό After graduation, Olga worked at the Scientific and Production Association “Severnaya Zarya” as an engineer and later as the head of the single-crystal processing and control section. Since November 1999, she has been with the Kola Science Center, focusing on research in electronic materials.

Research Interest

πŸ”¬ Olga’s scientific interests include the production of crystalline and ceramic functional materials based on niobium and tantalum oxides, the effects of concentrated light fluxes on these materials, and the study of their mechanical, structural, and optical properties. She also explores the modification of lithium niobate and tantalate crystals to achieve near-stoichiometric compositions.

Awards

πŸ† Throughout her career, Olga has received recognition for her contributions to materials science, particularly in the study and application of niobium and tantalum oxide compounds.

Publications Top Notes

πŸ“š Olga has published over 50 articles in refereed journals and co-authored the monograph “Synthesis, properties of LiNbO3 and LiTaO3 crystals with micro- and nanostructures.” Below are some of her notable publications:

Influence of growth conditions on the domain structure of LiNbO3 Gd single crystals (Inorganic Materials, 2008, Vol. 44, No. 3, pp. 360-365)

Periodic micro- and nanostructures in Gd-doped lithium niobate single crystals grown under highly non-stationary conditions (Inorganic Materials, 2010, Vol. 46, No. 3, pp. 1-8)

Micro- and nanostructures in lanthanide-doped lithium niobate single crystals (Crystallography, 2010, Vol. 55, No. 5, pp. 860-863)

Micro- and nanostructures and electrophysical properties in lanthanide-doped lithium niobate single crystals (Non-ferrous Metals, 2011, No. 11, pp. 44-48)

Study of stoichiometric lithium tantalate crystal obtained by VTE processing (Perspective Materials, 2011, Vol. 2, No. 13, pp. 659-663)

JINME XU | Forestry-Climate change | Best Researcher Award

Published on by World Top Scientists

Prof Dr. JINME XU | Forestry-Climate change | Best Researcher Award

Secretary-General, Chinese Academy of Forestry, China

Dr. Jinmei Xu is an esteemed researcher specializing in climate change and harvested wood. She serves as an Associate Professor at the Research Institute of Wood Industry, Chinese Academy of Forestry, with significant contributions to carbon footprint methodology and sustainable forestry practices. Dr. Xu has a robust academic background and extensive research experience, making her a prominent figure in her field.

Profile

Scopus

Educational Background πŸ“š:

  • Ph.D. in Wood Science and Technology, Chinese Academy of Forestry, P.R. China (2011)
  • Ph.D. in Wood Science and Technology, Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia (2010)
  • M.S. in Wood Science and Technology, Chinese Academy of Forestry, P.R. China (2008)
  • B.S. in Wood Science and Technology, Central South University of Forestry & Technology, P.R. China (2005)

Work Experience πŸ’Ό:

  • Associate Professor, Research Institute of Wood Industry, Chinese Academy of Forestry (2020β€”present)
  • Visiting Scholar, Michigan State University, USA (2019β€”2020)
  • Assistant Professor, Research Institute of Wood Industry, Chinese Academy of Forestry (2011β€”2019)

Research Interests πŸ”¬:

  • Climate Change Impact on Harvested Wood
  • Carbon Footprint Methodologies
  • Sustainable Forestry Practices
  • Carbon Storage and Emissions in Wood Products

Awards πŸ†:

Dr. Xu has been recognized for her pioneering research in carbon footprint methodologies for wood products and her significant contributions to the development of national standards for greenhouse gas emissions and green factory evaluations in the wood industry.

Publications Top NotesπŸ“–:

Yingchun Gong, Ruijing Liu, Lihong Yao, Haiqing Ren, Jinmei Xu*. “Innovation analysis of carbon emissions from the production of glued laminated timber in China based on real-time monitoring data.” Journal of Cleaner Production, 2024. DOI: 10.1016/j.jclepro.2023.143174. Cited by 2 articles.

Yanfan Yang, Yanhua Guan, Chongyang Li, Ting Xu, Lin Dai, Jinmei Xu, Chuanling Si***. “Application and carbon footprint evaluation of lignin-based composite materials.” Advanced Composites and Hybrid Materials, 2024. DOI: 10.1007/s42114-023-00232-7. Cited by 1 article.

Yuanpeng Qian, Mengliang Hu, Liping Li, Shuqi Cao, Jingwen Xu, Junxiong Hong, Xuepeng Liu, Jinmei Xu, Chuigen Guo**. “Dynamically assisted electrodeposition by hydrogen bubbles on carbonized wood: A NiFeCo nanoflower electrocatalyst for efficient hydrogen evolution.” Fuel, 2024. DOI: 10.1016/j.fuel.2023.130653. Cited by 3 articles.

Xu Jinmei, Wang Gaofeng, Duan Xinfang, Yu Wenji, Wu Sheng-fu, Deng Kan. “Creating green wood-based panels industry to meet the CO2 emission peak and carbon neutrality target.” Chinese Journal of Wood Science and Technology, 2021. Link. Cited by 4 articles.

Huishi Chen, Borong Sun, Mingli Li, Yishuai Huang, Jinmei Xu, Chuigen Guo**. “A facile way to fabricate renewable P/N/S-containing ferulic acid-derived epoxy thermosets with excellent flame retardancy.” Industrial Crops & Products, 2023. DOI: 10.1016/j.indcrop.2023.116917. Cited by 2 articles.

Jinmei Xu, Jianxiong Lu, Fucheng Bao, et al. “Cellulose microfibril angle variation in Picea crassifolia tree rings improves climate signals on the Tibetan plateau.” Trees-Structure and Function, 2012. Link. Cited by 5 articles.

Jinmei Xu, Jianxiong Lu, Robert Evans, et al. “Climatic signal in cellulose microfibril angle and tracheid radial diameter of Picea crassifolia at different altitudes of the Tibetan Plateau, Northwest China.” Wood Science and Technology, 2015. Link. Cited by 6 articles.

Despina Vamvuka | Solid Wastes | Best Research Article Award

Published on by World Top Scientists

Prof. Despina Vamvuka | Solid Wastes | Best Research Article Award

Despina Vamvuka, Technical University of Crete, Greece

πŸ‘©β€πŸ”¬Despina Vamvuka is a Chemical Engineer and Professor at the School of Mineral Resources Engineering, Technical University of Crete. She specializes in Solid Fuels Beneficiation and Technology, focusing on clean energy production technologies. πŸŒ±πŸ”¬

Profile

Scopus

Education

Despina Vamvuka holds a degree in Chemical Engineering and has built a robust academic foundation that underpins her extensive research and teaching career in the field of solid fuels and clean energy technologies. πŸŽ“πŸ“˜

Experience

Despina Vamvuka has significant experience in pyrolysis, combustion, gasification, and pollutant emission reduction from solid fuels. She is a seasoned educator and researcher with over 230 scientific publications and a profound involvement in both national and European research projects. πŸŒπŸ‘©β€πŸ«

Research Interests

Despina Vamvuka‘s research interests are diverse, encompassing solid fuels beneficiation, clean technologies for energy production, pyrolysis, combustion, gasification, and reduction of pollutant emissions from solid fuels. Her work aims at advancing sustainable energy solutions. 🌍⚑

Awards

Throughout her career, Despina Vamvuka has received numerous accolades and has been an integral part of several scientific committees and editorial boards. Her contributions to the fields of energy, environment, biofuels, and hydrogen are widely recognized. πŸ†πŸŒŸ

Publications

  1. “Valorization of a high-sulfur petroleum coke for energy and fuels through its co-processing with a forest waste, using concrete wastes for sulphur and carbon dioxide capture under mild conditions”
    • Journal: Thermochimica Acta
    • Year: 2024
    • Link
  2. “Adsorption of ammonium from wastewaters by an almond kernel derived biochar modified by potassium hydroxide or dolomite and activated by steam”
    • Journal: Environmental Advances
    • Year: 2024
    • Citations: 2
    • Link
  3. “Magnesium or bentonite modified almond kernel biochar for phosphate adsorption from contaminated water solutions”
    • Journal: Journal of Environmental Chemical Engineering
    • Year: 2024
    • Link
  4. “Gasification Performance of Barley Straw Waste Blended with Lignite for Syngas Production under Steam or Carbon Dioxide Atmosphere”
    • Journal: Applied Sciences (Switzerland)
    • Year: 2024
    • Link
  5. “Energy Recovery from Municipal Solid Waste through Co-Gasification Using Steam or Carbon Dioxide with Olive By-Products”
    • Journal: Energies
    • Year: 2024
    • Link

 

 

 

 

Vasiliki Basdekidou | Fintech | Best Researcher Award

Published on by World Top Scientists

Dr. Vasiliki Basdekidou | Fintech | Best Researcher Award

Postdoctoral researcher, University of Macedonia, Thessaloniki, Greece

Dr. Vasiliki Basdekidou is a dedicated researcher in financial economics, specializing in financial, equity, and bond markets. Currently, she is a post-doctoral student at the University of Macedonia, Department of Balkan, Slavic & Oriental Studies in Thessaloniki, Greece. With a robust academic background and extensive research, Dr. Basdekidou has made significant contributions to the field of corporate finance, particularly in the context of economic crises and market efficiency.

Profile

Orcid

Educational Background πŸ“š:

  • Ph.D. in Corporate Finance from the Bulgarian Academy of Sciences, Economic Research Institute, Sofia, Bulgaria (2015)
  • Master’s in Economics (Financial Economics) from the University of Macedonia, Thessaloniki, Greece (2005)
  • B.Sc. in Economics from the Aristotle University of Thessaloniki, Thessaloniki, Greece (2002)

Work Experience πŸ’Ό:

  • Post-doctoral Student, University of Macedonia, Department of Balkan, Slavic & Oriental Studies, Thessaloniki, Greece

Research Interests πŸ”¬:

  • Financial Economics
  • Corporate Finance
  • Equity and Bond Markets
  • Economic Growth Assessment
  • Sustainability and Entrepreneurship

Awards πŸ†:

Dr. Basdekidou has been recognized for her in-depth empirical research on the Greek stock market, especially her doctoral dissertation on the functionality, returns, and efficiency of the market before and after the debt crisis.

Publications πŸ“–:

Basdekidou, Vasiliki, et al. “The Use of DEA for ESG Activities and DEI Initiatives Considered as ‘Pillar of Sustainability’ for Economic Growth Assessment in Western Balkans.” Digital, 2024. DOI: 10.3390/digital4030029 Cited by 2 articles.

Basdekidou, Vasiliki, et al. “Empirical Model for Estimating Sustainable Entrepreneurship’s Growth Potential and Positive Outlook.” Baltic Journal of Modern Computing, 2023. DOI: 10.22364/bjmc.2023.11.1.11 Cited by 3 articles.

Lijuan Li | Process modeling and optimization | Best Researcher Award

Published on by World Top Scientists

Prof Dr. Lijuan Li | Process modeling and optimization | Best Researcher Award

.Deputy Director of Academic Affairs Office, Nanjing Tech University, China

Li Lijuan is a distinguished professor and doctoral supervisor at the School of Electrical Engineering and Control Science, Nanjing Tech University. She serves as the vice dean of the school and director of the Institute of Automation. Renowned for her contributions to control science, she is a candidate for the Jiangsu Province 333 High-level Talent Program and the Jiangsu Province “Six Talent Peaks” Program. Li Lijuan is an active member of various committees within the Chinese Automation Society and is a certified expert in Chinese Engineering Education. Her extensive research, numerous publications, and patents underscore her expertise and influence in the field.

Profile

Scopus

Educational Background πŸ“š:

  • PhD in Control Science and Engineering from Zhejiang University (2005.3β€”2008.12)
  • Master’s in Control Theory and Control Engineering from Nanjing University of Technology (2001.9β€”2004.6)
  • Bachelor of Science in Production Process Automation from Nanjing University of Technology (1993.9－1997.6)

Work Experience πŸ’Ό:

  • Visiting Scholar, University of Southern California, USA (2013.4-2014.4)
  • Teacher of Control Science and Engineering, Nanjing University of Technology (1997.8-Present)

Research Interests πŸ”¬:

  • Modeling, Optimization, and Predictive Control
  • Intelligent Robots
  • Detection Technology and Embedded Systems
  • Smart Security
  • Application of Artificial Intelligence in Industrial Processes

Awards πŸ†:

  • China Patent Excellence Award for Fully Automatic Bag Packaging Flexible Production Line (2020)
  • National Teaching Achievement Second Prize
  • Five provincial and ministerial teaching achievement awards

Publications Top NotesΒ πŸ“–:

Li, Lijuan, et al. “An optimized control strategy based on multidimensional feature operation pattern.” IEEE Transactions on Control Systems Technology, 2024. Link

Li, Lijuan, et al. “Multiresolution deep feature learning for pointer meters reading recognition.” Journal of Manufacturing Processes, 2024. Link

Li, Lijuan, et al. “YOLOv5-SFE: An algorithm fusing spatio-temporal features for detecting and recognizing workers’ operating behaviors.” Advanced Engineering Informatics, 2023. Link

Li, Lijuan, et al. “A performance assessment methodology with coupling between layers for LP-DMC systems.” International Journal of Robust Nonlinear Control, 2023. Link

Li, Lijuan, et al. “Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning.” Computers & Chemical Engineering, 2023. Link