Maha Thafar | Data mining | Best Researcher Award

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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.

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Education

📚 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.

📖 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.

🎓 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

👩‍🏫 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.

🎓 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

🔬 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

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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

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

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

🎓 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)

🎓 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)

🎓 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

💼 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.

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

💼 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

🔬 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

📚 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 Yörük | Human-Computer Interaciton | Best Researcher Award

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

Academician, Akdeniz University, Turkey

Assoc. Prof. Tayfun Yörük 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 🎓

  • 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 🔍

Assoc. Prof. Yörük 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. Yörük’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 🏆

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

Publications  Top Notes📝

Olga Shcherbina | Luminescent ceramics | Best Researcher Award

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Prof. Olga Shcherbina | Luminescent ceramics | Best Researcher Award

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

🧪 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

🎓 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

💼 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

🔬 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

🏆 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

📚 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

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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 📚:

  • 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 💼:

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

Research Interests 🔬:

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

Awards 🏆:

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 Notes📖:

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

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

Despina Vamvuka, Technical University of Crete, Greece

👩‍🔬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. 🌱🔬

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. 🎓📘

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. 🌐👩‍🏫

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. 🏆🌟

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

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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 📚:

  • 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 💼:

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

Research Interests 🔬:

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

Awards 🏆:

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 📖:

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

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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 📚:

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

Work Experience 💼:

  • 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 🔬:

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

Awards 🏆:

  • 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 Notes 📖:

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

Zongjie Mu | Drilling Engineering | Drilling Engineering

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Prof. Zongjie Mu | Drilling Engineering | Drilling Engineering

Professor, China University of Petroleum-Beijing at Karamy, China

Zongjie Mu is an Associate Professor at the China University of Petroleum-Beijing at Karamay, specializing in Petroleum Engineering. He has a prolific career marked by numerous publications, patents, and prestigious awards. His research primarily focuses on advanced drilling technologies and unconventional oil and gas stimulation. 🚀⛽

Profile

Orcid

Education

Zongjie Mu is expected to graduate with a Doctor of Engineering Science in Petroleum Engineering from China University of Petroleum-Beijing at Karamay in June 2023. 🎓📚

Experience

As an Associate Professor, Zongjie Mu teaches various courses, including Drilling Engineering, Well Completion Engineering, and Introduction to Petroleum Engineering. He has been recognized for his excellence in research and teaching with multiple awards and honors. 👨‍🏫🏆

Research Interests

His research interests include the theory and application of advanced drilling technology in deep and ultra-deep wells, unconventional oil and gas stimulation, and the development and application of downhole tools in drilling, completion, and mechanical oil recovery. 🔬🌍

Awards

Zongjie Mu has received numerous awards, including:

  • “Best Researcher Award” for International Research Awards on Mechanics of Functional Materials and Structures
  • “Tianshan Talents” of Xinjiang Uygur Autonomous Region, China
  • “Young Top-notch Talents in Science and Technology Innovation” in Xinjiang Uygur Autonomous Region, China
  • “Top-notch Talents” in Karamay, Xinjiang Uygur Autonomous Region, China
  • “The Most Beautiful Scientist” in Karamay, Xinjiang Uygur Autonomous Region, China
  • “The Excellent Head Teacher” at China University of Petroleum-Beijing at Karamay
  • “The Model Worker” at China University of Petroleum in Beijing 🌟🏅

Publications Top Notes

 

Akhilesh Kumar | Heat Transfer and Fluid Flow | Best Research Article Award

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Dr. Akhilesh Kumar | Heat Transfer and Fluid Flow | Best Research Article Award

Research Scholar, National Institute of Technology Jamshedpur, India

Dr. Akhilesh Kumar is a Mechanical Engineering specialist with a Ph.D. focused on Heat Transfer and Fluid Flow. He has extensive academic and research experience, complemented by a robust teaching background. Dr. Kumar is passionate about enhancing engineering systems’ efficiency and reliability through innovative research and development. 🌡️🔬

Profile

Google scholar

Education

Dr. Akhilesh Kumar earned his Ph.D. in Mechanical Engineering (Heat Transfer and Fluid Flow) from the National Institute of Technology (NIT) Jamshedpur in June 2024, under the guidance of Prof. Mrityunjay K. Sinha. His thesis was titled “Numerical Study on Buoyancy-driven Flow through Heated Cylinder.” He completed his M.Tech. in Thermal Turbo Machine from NIT Patna in 2015, with a thesis on “Experimental Analysis of Heat Transfer through Spiral Coil Condenser in Domestic Refrigerator.” Dr. Kumar holds a B.Tech. in Mechanical Engineering from MIT Muzaffarpur, completed in 2012. 🎓📘

Experience

Dr. Kumar has a comprehensive teaching portfolio, including three years of experience teaching undergraduate courses at Government Engineering College, Chaibasa. He has also worked as a Teaching Assistant at NIT Jamshedpur, mentoring B.Tech and M.Tech students on various projects related to heat sinks and computational fluid dynamics. 🏫👨‍🏫

Research Interests

His research interests encompass Heat Transfer and Fluid Flow, Turbulence Modeling, Nano-fluid, Computational Fluid Dynamics (CFD), Fluid-Structure Interaction (FSI), and Heat Sinks. Dr. Kumar is committed to advancing these fields through innovative research and practical applications. 🔬🌐

Awards

Dr. Kumar has qualified for several competitive examinations, including AIEEE (2007), BCECE (2008), and GATE in Mechanical Engineering (2013). He is also a recipient of the MHRD Fellowship from the Government of India. 🏆

Publications Top Notes

 

Natural convection from solid and hollow cylinders with concave surface: A numerical approach (2023). Numerical Heat Transfer Part A: Applications. Cited by: 2.

CFD Analysis of Buoyancy-driven Flow in an Infinite Surroundings: Comparison of Effects of Solid and Hollow Cylinders (2024). Arabian Journal for Science and Engineering. Cited by: 2.

Natural convection heat transfer from a uniform wall temperature, vertical barrel-shaped solid/hollow cylinder to air in infinite surroundings: A numerical study (2024). Numerical Heat Transfer Part A: Applications. Cited by: 1.

Enhancing heat transfer in buoyancy-driven laminar flow: A numerical investigation of heated concentric cylinders with porous fins (2024). Multiscale and Multidisciplinary Modelling, Experimental Design. Cited by: 1.

[Natural convection heat transfer characteristics of a solid/hollow body with vertical barrel-shaped surface in infinite surroundings: A numerical approach] (Under Review). Status: Under Review.