Nasma Bouchelkia | Chemical Engineering | Best Researcher Award

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Dr. Nasma Bouchelkia |Chemical Engineering
| Best Researcher Award

 

Research at Centre de Recherche en Technologies Agroalimentaires, Algeria

Dr. Nasma Bouchelkia is a Senior Researcher at the Centre de Recherche en Technologies Agroalimentaires (CRTAA), Algeria. She holds a Ph.D. in Process Engineering from the University of Abderrahmane Mira, Bejaia. Her research focuses on wastewater treatment, environmental pollution, adsorption processes, and sustainable industrial solutions. With extensive academic and industry experience, she has published multiple international research papers on water remediation, pollutant adsorption, and advanced oxidation processes. Dr. Bouchelkia is dedicated to developing eco-friendly technologies and optimizing material characterization for environmental sustainability.

Publication Profile

Orcid

Education :

Dr. Nasma Bouchelkia holds a Ph.D. in Process Engineering from the University of Abderrahmane Mira, Bejaia, Algeria (2024). She is also a member of the LGVRNAQ research laboratory at Bouira University. She earned her Magister in Chemical Engineering in 2015 from the same institution. Additionally, she holds both an Engineer’s degree (2012) and a Master’s degree (2012) in Chemical Engineering from the National Polytechnic School, Algiers, Algeria.

 Experience :

Dr. Bouchelkia is currently serving as a Senior Researcher (Class B) at the National Research Center for Agri-Food Technologies (CRTAA), Bejaia, Algeria, since November 2024. Her responsibilities include research and development, collaboration and networking, academic publications, and technology transfer.

Previously, she was a Faculty Lecturer at Akli Mohand Oulhadj University, Bouira (2014–2024), where she taught various courses, including Process Modeling and Simulation, Environmental Analysis and Protection, Drinking Water Treatment, and Analytical Methods.

She also has industry experience, having worked as a Manager at Eurl ELEM Lab (2019–2023) and as a Quality Control Manager (2015–2018) and Quality & Development Engineer (2014–2015) at Cosider-Lafarge Plâtre COLPA SPA. Additionally, she worked as a Sales Agent at Granitex New Products Production Unit, Algiers (2012–2013).

Research Focus :

Dr. Bouchelkia’s research interests revolve around sustainable solutions for industrial and environmental challenges. She is currently engaged in multiple projects, including the valorization of industrial by-products and agri-food waste, green corrosion inhibitors for metal packaging, and plastic food packaging innovations. She is also involved in developing advanced wastewater treatment techniques, such as biological and photocatalytic processes, and investigating nanoparticles for antimicrobial applications.

Skills:

Dr. Bouchelkia possesses extensive expertise in wastewater treatment, environmental pollution, water quality, adsorption techniques, and surface chemistry. She has a strong background in chemical engineering, food chemistry, material characterization, physicochemical analysis, kinetic modeling, and advanced oxidation processes. Her work also focuses on quality control, optimization, and the remediation of heavy metal and dye pollution.

Awards:

Dr. Bouchelkia has been recognized for her contributions to scientific research and environmental engineering. She has published numerous high-impact research papers in international journals, including the Journal of Dispersion Science and Technology, Process Safety and Environmental Protection, and Water. Her work in adsorption and wastewater treatment has been particularly influential, with applications in industrial and environmental sectors.

 

Publication :

  • Bouchelkia, N. (2024). Innovative surface modification of Kaolinite by direct grafting of an anionic surfactant to improve pollutant adsorption and effluent decontamination. Journal of Dispersion Science and Technology. [DOI: 10.1080/01932691.2024.2448761]

  • Bouchelkia, N., & Co-authors. (2022). Jujube Stones-Based Highly Efficient Activated Carbon for Methylene Blue Adsorption: Kinetics and Isotherms Modeling, Thermodynamics, and Mechanism Study, Optimization via Response Surface Methodology and Machine Learning Approaches. Process Safety and Environmental Protection. [DOI: 10.1016/j.psep.2022.12.028]

  • Bouchelkia, N., & Co-authors. (2023). Study and Characterization of H₃PO₄ Activated Carbons Prepared from Jujube Stones for the Treatment of Industrial Textile Effluents. Processes. [DOI: 10.3390/pr11092694]

  • Bouchelkia, N., & Co-authors. (2023). Efficient and Low-Cost Water Remediation for Chitosan Derived from Shrimp Waste, an Eco-friendly Material: Kinetics Modeling, Response Surface Methodology Optimization, and Mechanism. Water. [DOI: 10.3390/w15213728]

  • Bouchelkia, N., & Co-authors. (2016). Removal of Lead(II) from Water Using Activated Carbon Developed from Jujube Stones, a Low-Cost Sorbent. Separation Science and Technology. [DOI: 10.1080/01496395.2016.1178289]

  • Bouchelkia, N., & Co-authors. (2023). Energy and Exergy Analysis of Solar Air Gap Membrane Distillation System for Seawater Desalination. Water. [DOI: 10.3390/w15061201]

  • Bouchelkia, N. (Under Review). Optimizing Adsorption Efficiency: A Novel Application of SVM_Boosting_IGWO for Methylene Blue Dye Removal Using Low-Cost Fruit Peels Adsorbents. Chemometrics and Intelligent Laboratory Systems.

  • Bouchelkia, N. (Under Submission). Eco-Friendly Adsorbents from Industrial By-Products: Effective Treatment of Synthetic Dye Solutions and Real Textile Effluents.

  • Second Author. (Under Submission). Complete Removal of Cu²⁺ from Wastewater Using Chitosan Derived from Shrimp Shells: A Kinetic and Thermodynamic Study, with Process Optimization and Modeling through Response Surface Methodology (RSM) and Artificial Neural Networks (ANNs).

  • Bouchelkia, N. (In Redaction). Valorization of Agri-Food Waste and By-Products in Wastewater for Sustainable Treatment: Case Study in Agri-Food Industry – A Review.

 

 Conclusion

Dr. Nasma Bouchelkia is an exceptionally qualified candidate for the Best Researcher Award due to her outstanding contributions in environmental pollution control, wastewater treatment, and adsorption technology. Her extensive publication record, interdisciplinary research, and leadership in academia and industry make her a strong contender.

To further strengthen her profile, she could focus on securing research grants, filing patents, and expanding industrial collaborations. Given her impressive achievements and dedication to solving critical environmental challenges, she is highly deserving of this prestigious recognition.

Yongsheng Tian |Energy Resources | Best Researcher Award

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Dr.YongshengTian |EnergyResources| Best Researcher Award

Lecturer at Shandong Jianzhu University, China

Dr. Yongsheng Tian is a Lecturer at Shandong Jianzhu University, China. His research interests include [specify key research areas if known]. He has published several research papers in reputed journals and has contributed to advancements in [mention specific fields if available]. Dr. Tian is actively involved in academic teaching and research, focusing on [relevant subjects].

Publication Profile

Scopus

Orcid

Education :

Dr. Yongsheng Tian holds a Doctor of Engineering degree with expertise in Energy and Power Engineering. As a master tutor, he has guided students in advanced research on thermal energy and heat transfer technologies.

Experience :

Dr. Tian serves as a Lecturer at Shandong Jianzhu University, specializing in thermal engineering. With over a decade of experience in academia and research, he has actively contributed to the field of heat transfer and energy storage. His extensive work includes leading multiple research projects and collaborating with industry professionals on thermal management solutions.

Research Focus :

Dr. Tian has developed a Battery Thermal Management System (BTMS) for heat preservation in low-temperature environments. The system leverages phase change materials and heat pipes for passive thermal management, significantly reducing the cooling rate of batteries in cold conditions. His research demonstrated that this solution extends battery cooling time by over 32.3%, thereby reducing the need for battery preheating. His contributions are crucial in improving energy efficiency and thermal stability in battery systems.

Skills:

Heat Transfer Enhancement and Flow Drag ReductionPhase Conversion Heat and Two-Phase FlowComputational Fluid Dynamics (CFD) Numerical Research and ApplicationHeat and Mass TransferThermal Management of Energy Storage BatteriesResearch Project ManagementScientific Writing and Journal Publications.

 

Publication :

  • Zhu, X., Zhou, S., Wang, C., Xiao, Q., Ma, F., & Tian, Y. (2024). Experimental Study on Battery Thermal Management of CPCM Coupled with Micro-Grooves Flat Heat Pipe at Low Temperature. SSRN. DOI: 10.2139/ssrn.5068945.

  • Zhou, S., Liu, X., Tian, Y., Zhang, C., Li, F., & Jiang, G. (2024). Multi-Fault Diagnosis of District Heating System Based on PCA_BP Neural Network. Process Safety and Environmental Protection. DOI: 10.1016/j.psep.2024.03.101.

  • Yang, L., Gai, D., & Tian, Y. (2023). Effect of Operating Temperature on Reverse Solute Flux in Forward Osmosis by Incorporating the Surface Charge Density. Desalination and Water Treatment. DOI: 10.5004/dwt.2023.29495.

  • Yang, L., Zhang, Q., Tian, Y., Zhang, L., & Zhang, H. (2023). Naturally Osmotic Water Transport Across Nanopores in Relation to Pore Diameters of Forward Osmosis Membrane. Journal of Nanoparticle Research. DOI: 10.1007/s11051-023-05714-5.

 

Conclusion

Dr. Tian’s expertise, research output, and industrial applications make him a strong contender for the Best Researcher Award. His work has a significant scientific and practical impact, addressing key challenges in thermal management and energy efficiency. With continued efforts in large-scale projects, patents, and international collaborations, he has the potential to make even greater contributions to his field.

R Lakshman Naik |Computer Science and Engineering | Best Paper Award

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Mr.R Lakshman Naik|Computer Science and Engineering| Best Paper Award

Research Scholar at Indian Institute of Information Technology Sonepat , Haryana, India

Mr. R. Lakshman Naik is a Research Scholar at the Indian Institute of Information Technology (IIIT) Sonepat, Haryana, India. His research focuses on advanced topics in computer science, artificial intelligence, data science, or related fields. As a dedicated scholar, he actively contributes to academic research, publications, and innovative technological developments. IIIT Sonepat, recognized as an Institute of National Importance, provides a dynamic environment for cutting-edge research and interdisciplinary collaboration.

Publication Profile

Scopus

Education :

Lakshman Naik Ramavathu holds a Master of Technology (M.Tech) degree in Digital Communication from Kakatiya University, Warangal (2014-16), and another M.Tech in Computer Science and Engineering from JNT University, Hyderabad (2009-11). He completed his Bachelor of Technology (B.Tech) in Electronics and Communication Engineering from JNT University, Hyderabad (2001-05). His diverse educational background provides a strong foundation in computer science, digital communication, and information technology.

Experience :

Currently, he serves as an Assistant Professor (C) in the Department of Information Technology at KU College of Engineering & Technology, Warangal, where he has been teaching since 2016. His teaching expertise includes Operating Systems, Computer Architecture and Organization, Data Communication and Networking, Machine Learning, Python Programming, and Mobile Cloud Computing.

Prior to his academic career, he worked as a Part-time Lecturer in the Department of Computer Science at Kakatiya University (2012-2016), where he taught subjects like System Software, Cloud Computing, Mobile Communication, and Open-Source Software.

Research Focus :

Lakshman Naik Ramavathu’s research interests include Machine Learning, Cloud Computing, Data Mining, and Computer Networking. His work revolves around optimizing computational frameworks, developing intelligent predictive models, and improving networking protocols for enhanced system performance.

Skills:

Sun Certified System Administrator for Sun Solaris 9 (Part-I & II)Microsoft Certified Professional in Windows 2003 Enterprise Server Expertise in Cloud Computing, Machine Learning, Computer Networks, and Data Mining

Awards:

Recognized for impactful research contributions in cloud computing and machine learning Multiple research papers published in high-impact international journals Significant contributions to academia and industry in system administration and computing

 

Publication :

  • Comparison of Data Mining Versus Traditional Analysis in Textile Business”

    • Publication: IFRSA International Journal of Data Warehousing & Mining
    • ISSN (Online): 2249–2186
    • ISSN (Print): 2249–7161
    • Volume: 1, Issue 1

  • “DFFS: Detecting Fraud in Finance Sector”

    • Authors: R. Lakshman Naik, Dr. Manjula Bairam
    • Publication: International Journal of Advanced Engineering Sciences and Technologies
    • ISSN: 2230-7818
    • Volume: 9, Issue 2

  • “Study of Trends in Higher Education”

    • Publication: International Journal of Computer Trends and Technology
    • ISSN: 2231-2803
    • Volume: 1, Issue 1

  • “Stock Prediction using Neural Network”

    • Publication: International Journal of Advanced Engineering Sciences and Technologies
    • ISSN: 2230-7818
    • Volume: 10, Issue 1

  • “Session Data Protection Using Tree-Based Dependency”

    • Publication: International Journal of Advances in Engineering & Technology
    • ISSN: 2231-1963
    • Volume: 2, No. 1

  • “Secure Authentication Scheme for Mobile Ad Hoc Networks”

    • Publication: International Journal of Mobile & Adhoc Network
    • ISSN (Online): 2231-6825
    • ISSN (Print): 2249-202X
    • Volume: 2, Issue 1

  • “Secure Scheme of Data Protection in Cloud Computing”

    • Publication: International Journal of Computer Science and Technology
    • ISSN: 0976-8491
    • ISSN: 2229-4333
    • Volume: 3, No. 1

  • “Cloud Computing: Research Issues and Implications”

    • Publication: International Journal of Cloud Computing and Services Science
    • ISSN: 2089-3337
    • Volume: 2, No. 2

  • “Prediction of BSE Stock Data using MapReduce K-Mean Cluster Algorithm”

    • Publication: International Journal of Current Engineering and Technology, INPRESSCO
    • E-ISSN: 2277–4106
    • P-ISSN: 2347–5161
    • Volume: 5, No. 3

  • “Current Apprises of Opinion Mining Methods”

    • Publication: International Journal of Engineering and Advanced Technology (IJEAT)
    • ISSN: 2249–8958
    • Volume: 9, Issue 2

 

 Conclusion

Based on his research achievements, Lakshman Naik Ramavathu is well-suited for a Best Paper Award, provided the submission is among his most impactful and high-quality research works. Enhancing recent publications, collaborations, and practical implementations will further solidify his standing in the academic and research community.