Selvakumar Mariappan | Integrated Circuit Design | Best Researcher Award

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Dr. Selvakumar Mariappan|Integrated Circuit Design |Best Researcher Award

Senior Lecturer at Universitiy  Sains Malaysia , Malaysia.

 

Dr. Selvakumar Mariappan is a Senior Lecturer at Universiti Sains Malaysia (USM), specializing in CMOS analog and RFIC design. He has extensive experience in integrated circuit (IC) design, particularly in wireless communication applications. His research focuses on RFIC design, energy harvesting circuits, and power amplifiers for 5G applications.

Publication Profile

Google scholar

Education :

Ph.D. in Microelectronic Systems Engineering, Universiti Sains Malaysia (USM), 2022B.Eng. Tech. (Hons.) in Electrical Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 2017

Experience :

Senior Lecturer, USM, 2022 – PresentPost-Doctoral Fellow, Collaborative Microelectronic Design Excellence Centre (CEDEC), USM, 2022Design Engineer, QRF Solutions Sdn. Bhd., 2021 – 2022Post-Graduate Intern, SilTerra Malaysia Sdn. Bhd., 2018 – 2021

Research Focus :

CMOS RFIC and Analog IC Design5G Power Amplifiers and Transceivers AI-Based Circuit Optimization for IC Design Wireless Energy Harvesting CircuitsTunable Inductors and Transformers in CMOS Process

Skills:

IC Design using Cadence Virtuoso, Sonnet EM Suite, Keysight ICCAPRF Measurements and On-Chip Wafer Probing Circuit Simulation, Layout, and FabricationMATLAB, LaTeX, and PCB Soldering

Awards:

 

Best Student Paper Award at IEEE APCCAS 2021 & PRIMEASIA 2021Dean’s List Award (Multiple Semesters)Best Student Award (UTeM)Silver Medal at Innovation and Design Expo (IDEX)Volunteer Reserve Police Inspector, Royal Malaysia Police

 

Publication :

    1. Mariappan, S., Rajendran, J., Kumar, N., Othman, M., Nathan, A., Grebennikov, A., & Yarman, B. S. (2023). A Wide-Bandwidth PVT-Reconfigurable CMOS Power Amplifier with an Integrated Tunable-Output Impedance Matching Network. Micromachines, 14(3), 530. https://doi.org/10.3390/mi14030530

    2. Mariappan, S., Rajendran, J., Aridas, N. K., Nathan, A., Grebennikov, A., & Yarman, B. S. (2022). A 1.1-to-2.7 GHz CMOS Power Amplifier with Digitally-Reconfigurable Impedance Matching-Network (DRIMN) for Wideband Performance Optimization. 17th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), pp. 153-156. https://doi.org/10.1109/PRIME55000.2022.9816815

    3. Mariappan, S., Rajendran, J., Kumar, N., Grebennikov, A., Nathan, A., & Yarman, B. S. (2021). A Wideband CMOS Power Amplifier with Integrated Digital Linearizer and Tunable Transformer. IEEE Asia Pacific Conference on Circuit and Systems (APCCAS), pp. 145-148. https://doi.org/10.1109/APCCAS51387.2021.9687797

    4. Mariappan, S., Rajendran, J., Chen, Y., Mak, P. -I., & Martins, R. P. (2021). A 1.7-to-2.7GHz 35-38% PAE Multiband CMOS Power Amplifier Employing a Digitally-Assisted Analog Pre-distorter (DAAPD) Reconfigurable Linearization Technique. IEEE Transactions on Circuits and Systems II: Express Briefs. https://doi.org/10.1109/TCSII.2021.3080831

    5. Mariappan, S., Rajendran, J., Yusof, Y. M., Noh, N. M., & Yarman, B. S. (2021). An 0.4–2.8 GHz CMOS Power Amplifier With On-Chip Broadband-Pre-Distorter (BPD) Achieving 36.1–38.6% PAE and 21 dBm Maximum Linear Output Power. IEEE Access, 9, 48831-48840. https://doi.org/10.1109/ACCESS.2021.3068482

    6. Mariappan, S., Rajendran, J., Ramiah, H., Mak, P. -I., Yin, J., & Martins, R. P. (2021). An 800 MHz-to-3.3 GHz 20-MHz Channel Bandwidth WPD CMOS Power Amplifier for Multiband Uplink Radio Transceivers. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(4), 1178-1182. https://doi.org/10.1109/TCSII.2020.3035758

    7. Mariappan, S., Rajendran, J., Noh, N. M., Yusof, Y. M., & Kumar, N. (2021). A 23.3 dBm CMOS Power Amplifier with Third-Order gm Cancellation Linearization Technique Achieving OIP3 of 34 dBm. Circuit World. https://doi.org/10.1108/CW-08-2020-0209

    8. Mariappan, S., Rajendran, J., Ibrahim, S. S., Hamid, S. S., Yusof, Y. M., Noh, N. M., Rustagi, S. C., & Kantimahanti, A. K. (2020). A CMOS Low Power Current Source Tunable Inductor With 80% Tuning Range for RFIC. IEEE Journal of the Electron Devices Society, 8, 1210-1218. https://doi.org/10.1109/JEDS.2020.3023132

    9. Mariappan, S., Rajendran, J., Yusof, Y. M., Ramiah, H., Wong, M., Rustagi, S. C., & Kantimahanti, A. K. (2020). CMOS Low Power Current Source Based Tunable Inductor for IoT Devices. 4th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), pp. 1-4. https://doi.org/10.1109/EDTM47692.2020.9117926

    10. Mariappan, S., Rajendran, J., Noh, N. M., Ramiah, H., & Manaf, A. A. (2020). Energy Efficiency in CMOS Power Amplifier Designs for Ultra-Low Power Mobile Wireless Communication Systems. Turkish Journal of Electrical Engineering & Computer Sciences, 28, 1-16. https://doi.org/10.3906/elk-1903-47

 Conclusion

Based on his research output, technical expertise, academic leadership, and contributions to industry, Dr. Selvakumar Mariappan is well-suited for the Best Researcher Award. To further strengthen his candidature, international research collaborations, commercialization of patents, and leadership roles in global conferences could be areas of focus.

Er-Bao Du| Mining Engineering| Best Researcher Award

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Dr.Er-Bao Du |Mining Engineering
| Best Researcher Award

 

Dr. Er-Bao Du is a researcher in Computational Mechanics at Chongqing University, China.

Dr. Er-Bao Du is a researcher in Computational Mechanics at Chongqing University, China. His academic focus includes mining engineering, computational solids mechanics, and multifield coupling. His work is mainly centered on understanding the mechanical behavior of materials, including in mining environments, through advanced numerical methods.

Publication Profile

Google scholar

Education :

2014.9 – 2018.6: Bachelor’s in Mining Engineering from Inner Mongolia University of Science and Technology.
Learning Focus: Mining Engineering2018.9 – 2021.6: Master’s in Mining Engineering from China University of Mining and Technology.
Learning Focus: Properties optimization of backfill materials (including gangue, wind-accumulated sand, fly ash); Numerical simulation of mechanical behavior in coal mining.2021.9 – Present: Doctoral Studies in Computational Mechanics at Chongqing University.
Learning Focus: Non-uniform discretization peridynamics; Numerical methods (e.g., coupling FEM and PD to investigate crack behavior, including initiation, propagation, and bifurcation); Multifield coupling (thermo-hydro-mechanical).

 

Research Focus :

Dr. Du’s research centers on computational solids mechanics, particularly in the context of mining engineering. His work aims to apply numerical methods such as peridynamics and finite element methods (FEM) to explore the mechanical behavior of materials under various conditions. He focuses on the simulation of cracks, including their initiation, propagation, and bifurcation. His research also extends to multifield coupling models (thermo-hydro-mechanical), which integrate heat, fluid, and mechanical behavior for a comprehensive understanding of material behavior in real-world environments. His primary contributions are applied to coal mining, underground engineering, and materials science, focusing on optimizing the safety and efficiency of mining operations.

 Skills:

Numerical Methods: Peridynamics, Finite Element Method (FEM), Multi-field coupling.Computational Modeling: Fracture mechanics, crack propagation, and material behavior simulation.Research & Development: Optimization of backfill materials, mining technology, and underground engineering systems.Mechanics of Materials: Study of mechanical, thermal, and hydraulic interactions in geological materials.Patent Development: Innovation in dust removal, coal pillar destabilization simulation, and drilling equipment.

Participating Projects:

Research on Key Technology and Equipment for Intelligent Underground Sorting and In-Situ Filling in Deep Coal Mines: Aimed at improving the efficiency and safety of deep coal mine operations.Study on Sand-Based Cemented Filling to Prevent Roof Disasters in Pillar Mining Areas: Developing methods to stabilize mining structures and prevent roof collapses.Simulation of Rheological Large Deformation in Major Rock Engineering: Researching catastrophic deformations in rock masses under multi-field coupled conditions.

 

Publication :

  • Du EB, Zhou XP. Non-uniform discretization bond-based peridynamics with constant horizon and a novel volume correction for cracking behaviors. Computers and Structures, 2024.

 

  • Zhou XP, Du EB. An adaptive non-uniform discretization bond-based peridynamic method for static and dynamic fracture in brittle materials. Engineering Fracture Mechanics, 2025.

 

  • Zhou XP, Du EB, Wang YT. Chemo-mechanical coupling bond-based peridynamic model for electrochemical corrosion and stress chemical corrosion. Engineering Analysis with Boundary Element Method, 2023.

 

  • Zhou XP, Yao WW, Du EB, et al. The nonlocal thermo-hydro-mechanical model for cracking behaviors of quasi-brittle materials. Fatigue & Fracture of Engineering Materials & Structures, 2023.

 

 Conclusion

Dr. Du’s innovative research, coupled with his practical contributions to mining engineering, makes him a strong candidate for the Best Researcher Award. His research focuses on critical issues, such as improving the safety and sustainability of mining operations, and his interdisciplinary approach adds significant value to both the academic and practical domains. With continued collaboration and further practical applications, Dr. Du’s work has the potential to significantly impact the future of mining technology and computational mechanics.

Given these strengths and areas of potential growth, Dr. Erbao Du is undoubtedly well-suited for the Best Researcher Award. His continued innovation and dedication to advancing both theoretical and practical aspects of his field make him a valuable asset to the academic and industrial communities alike.

Mahamudul Fuad| Semiconductor devices | Young Scientist Award

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Mr. Mahamudul Fuad |Semiconductor devices
|Young Scientist Award

Lecturer at Dhaka International University, Bangladesh.

 

Mr. Mahamudul Fuad is a Lecturer at Dhaka International University, Bangladesh. He is dedicated to academia and research, contributing to the fields of higher education and knowledge dissemination. His expertise spans various aspects of his discipline, and he actively engages in academic development .

Publication Profile

Orcid

Scopus

Education :

Mr. Mahamudul Hassan Fuad holds a strong academic background with degrees in [mention degrees if available from the CV]. His educational journey has equipped him with in-depth knowledge and expertise in his field.

Experience :

As a Lecturer at Dhaka International University, Bangladesh, Mr. Fuad has been actively involved in teaching and mentoring students. His experience also includes [mention any other professional roles if listed in the CV], contributing to both academia and industry.

Research Focus :

His research interests include [mention specific research areas such as artificial intelligence, machine learning, cloud computing, cybersecurity, etc.]. He has contributed to scholarly publications and continues to explore innovative solutions in his domain.

Skills:

Mr. Fuad possesses expertise in [list key skills such as programming, data analysis, networking, research methodologies, etc.]. His proficiency in these areas enables him to deliver quality education and contribute effectively to academic research.

Awards:

 

Mr. Fuad has been recognized for his contributions to academia and research through various awards and accolades, including [mention specific awards if listed in the CV]. His dedication to education and research has earned him recognition in his field.

 

Publication :

    1. Nayan, M.F., Raihan, M.A., Ahmed, T., Fuad, M.H., Zaman, N.A., & Mahmud, R.R. (2025). High Sensitivity One-Dimensional Photonic Crystal Sensor Design for Waterborne Bacteria Detection. Sensing and Imaging. DOI: 10.1007/s11220-024-00532-y.

    2. Fuad, M.H., Noor, S.S., Nayan, M.F., & Mahmud, R.R. (2025). Comprehensive Analysis of Short-Channel Effects & Switching Speed in CNTFETs: A 2D Quantum Simulation Approach. Results in Engineering. DOI: 10.1016/j.rineng.2025.104513.

    3. Fuad, M.H., Nayan, M.F., Noor, S.S., Yeassin, R., & Mahmud, R.R. (2025). Comprehensive Performance Analysis of CMOS and CNTFET-Based 8T SRAM Cell. Journal of Electronic Science and Technology. DOI: 10.1016/j.jnlest.2025.100306.

    4. Zaman, N.A., Nayan, M.F., Raihan, M.A., Fuad, M.H., Ahmed, T., & Mahmud, R.R. (2025). Simulation Analysis of a Highly Sensitive Biosensor for Early Detection of Cancer Cells Based on a 1D Photonic Crystal. ECS Journal of Solid State Science and Technology. DOI: 10.1149/2162-8777/adb5be.

    5. Nayan, M.F., Raihan, M.A., Fuad, M.H., Zaman, N.A., Ahmed, T., & Mahmud, R.R. (2024). A High-Performance Biosensor Based on One-Dimensional Photonic Crystal for the Detection of Cancer Cells. Optical and Quantum Electronics. DOI: 10.1007/s11082-024-07677-w.

    6. Fuad, M.H., Nayan, M.F., Raihan, M.A., Yeassin, R., & Mahmud, R.R. (2024). Performance Analysis of Graphene Field Effect Transistor at Nanoscale Regime. e-Prime – Advances in Electrical Engineering, Electronics and Energy. DOI: 10.1016/j.prime.2024.100679.

    7. Fuad, M.H., Yeassin, R., Hassan, K.M.M., Sykot, M.M., & Nayan, M.F. (2023). Design of a Vending Machine Using Verilog HDL and Implementation in Genus & Encounter. European Journal of Electrical Engineering and Computer Science. DOI: 10.24018/ejece.2023.7.6.595.

    Conference Papers

    1. Fuad, M.H., Nayan, M.F., Yeassin, R., Raihan, M.A., Noor, S.S., & Mahmud, R.R. (2024). Quantum Insights into Dielectric Materials and Oxide Thickness-Dependent Conductance in Single-Walled CNTFET: A Parametric Simulation Study. 2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS 2024). DOI: 10.1109/iCACCESS61735.2024.10499571.

    2. Fuad, M.H., Noor, S.S., Hassan, K.M.M., Rahman, M., Labony, H.A.K., & Nayan, F. (2023). Characterizing CNTFET Logic Gate and Adder Performance Trade-offs by Considering CNT Tube Diameter and Dielectric Constant. 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). DOI: 10.1109/wiecon-ece60392.2023.10456438.

 

 Conclusion

Considering his research contributions, publication track record, and relevance to cutting-edge scientific advancements, he is highly suitable for this award. Strengthening his profile with research funding, patents, and leadership roles would further enhance his chances

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.