Guglielmo Vaccaro | Engineering | Best Researcher Award

Posted on 07/10/202407/10/2024 by ScienceFather

Mr. Guglielmo Vaccaro | Engineering | Best Researcher Award

Mr. Guglielmo Vaccaro, Università degli studi di Firenze, Italy

Guglielmo Vaccaro (born June 18, 1997, in Florence) is a dedicated researcher in mechanical and energy engineering. He holds a Bachelor’s in Mechanical Engineering and a Master’s in Energy Engineering from the University of Florence, both achieved with honors. Currently pursuing a Ph.D. in Industrial Engineering, his research focuses on eco-friendly refrigeration systems and CO2-based mixtures. He has presented at multiple international conferences and published in peer-reviewed journals. Guglielmo has also collaborated with CNAM in Paris on chiller systems. He is proficient in several software tools, including Matlab and Python. Fluent in Italian and English. 🇮🇹🔬💡

Publication profile

Google Scholar

Education

Bachelor’s Degree in Mechanical Engineering from the University of Florence, graduated with honors (110/110 cum laude). His thesis focused on optimizing a convergent-divergent nozzle, showcasing his attention to detail in technical design.

Master’s Degree in Energy Engineering (Machines Track) from the University of Florence, also graduated with honors. His thesis was centered on the design of an ejector for recovering lamination losses in a CO2-based plant, which highlights his commitment to sustainable technologies.

Ph.D. in Industrial Engineering, currently ongoing at the University of Florence, focusing on eco-friendly refrigeration systems, particularly on developing refrigeration plants using eco-compatible mixtures, which underlines his dedication to cutting-edge research in environmental sustainability.

Research

Presented research at prominent conferences, such as the International Congress of Refrigeration, covering topics like CO2-based mixtures for refrigeration and ice storage systems.

Published articles in renowned journals, including the International Journal of Refrigeration, where he assessed the thermodynamic performance of trans-critical refrigeration systems utilizing CO2 mixtures. His work extends into sustainable energy communities and low-TEWI refrigerants, indicating his focus on advancing energy-efficient and environmentally safe solutions.

Conclusion

Guglielmo Vaccaro’s combination of academic excellence, innovative research on eco-compatible refrigeration systems, and international collaborations makes him a strong contender for the Best Researcher Award. His focus on environmental sustainability through advanced refrigeration technologies aligns with the goals of pushing the boundaries in energy efficiency and renewable energy systems.

Publication Top Notes

Thermodynamic assessment of trans-critical refrigeration systems utilizing CO2-based mixtures | Cited by: 23 | Year: 2023 🔬❄️
Heat pumps and thermal energy storages centralised management in a Renewable Energy Community | Cited by: 8 | Year: 2023 ♻️🌍
A proposal for a non-flammable, fluorine-free, CO2-based mixture as a low TEWI refrigerant | Cited by: 5 | Year: 2024 💧🔋
Working Fluid Selection for High-Temperature Heat Pumps: A Comprehensive Evaluation | Cited by: 3 | Year: 2024 🔥🔧
Optimal sizing of a distributed energy system with thermal load electrification | Cited by: 2 | Year: 2020 ⚡📏
Propylene and DME solubility in PAG oil: Experimental investigations and simplified modeling | Cited by: 1 | Year: 2024 📊🧪
Experimental investigations and modeling of Propylene and DME solubility in PAG oil | Cited by: 1 | Year: 2023 🔍📈
Numerical assessment of CO2-based mixtures for refrigeration systems: focus on the evaporation process Year: 2023 🌬️💨
Development of a code for the evaluation of air sanitation efficiency of UV-C linear lamps in ventilation systems Year: 2022 💡🌬️
Thermodynamic analysis of a steam ejector chiller with ice storage Year: 2022 ❄️🧊

Akram Sheikhi | Engineering Award | Best Researcher Award

Posted on 06/09/202406/09/2024 by ScienceFather

Prof. Akram Sheikhi | Engineering Award | Best Researcher Award

Prof. Akram Sheikhi, Lorestan University, Iran

Based on the information provided, Prof. Akram Sheikhi appears to be a strong candidate for the Research for Best Researcher Award. Here’s a detailed evaluation:

Publication profile

Scopus

Google Scholar

Education and Academic Background

Prof. Akram Sheikhi holds a Ph.D. in Electrical Engineering from Razi University, Iran (2011-Mar. 2015), a Master’s degree from the same institution (2008-Aug. 2010), and a Bachelor’s degree in Electrical Engineering from Shariaty Technical College, Tehran, Iran (2005-Jul. 2007). His academic credentials are robust and reflect a solid foundation in electrical engineering, which is crucial for advanced research.

Skills and Expertise

Prof. Sheikhi is proficient in analyzing passive and active circuits, designing high-frequency PCB boards, and using various design and simulation tools such as Altium, Advanced Design System, and PSpice. His intermediate skills in HFSS, CST, HSPICE, and Matlab, along with proficiency in LATEX and Office, enhance his capability to conduct and present sophisticated research. These technical skills are essential for the advanced research topics he is involved in.

Academic Experience

Prof. Sheikhi has a diverse range of academic roles. He is currently a Visiting Associate Professor at the University of Bristol (Nov. 2023-Present) and an Associate Professor at Lorestan University (June 2020-Present). His previous positions include Assistant Professor and Lecturer at Lorestan University. This extensive academic experience demonstrates his ongoing commitment to research and education, which is a key factor for the Research for Best Researcher Award.

Honours and Awards

He graduated with honors in both his MSc and PhD programs and is a Senior Member of IEEE. These accolades highlight his academic excellence and recognition in the professional community, reflecting his high standing in the field of electrical engineering.

Research Interests

Prof. Sheikhi’s research interests are well-aligned with cutting-edge technology in electrical engineering. His focus areas include:

Advanced RF and Microwave Instrumentation and Measurements: Demonstrates expertise in high-frequency technologies.

RF and Microwave Wideband and Narrow-Band Power Amplifiers: Reflects a specialization in power amplification technologies.

Analog Passive Circuits Design and Optimization: Shows proficiency in circuit design and optimization.

Microwave Antenna and Sensors: Indicates a strong background in antenna design and sensing technologies.

Wireless Power Transfer Systems: Highlights involvement in innovative energy transfer solutions.

Artificial Intelligence (AI) Applications in RF/Microwave Circuits: Points to an integration of AI with traditional RF/microwave technologies, showcasing a forward-looking approach.

Publication Top Notes

Design of compact wide stopband microstrip low-pass filter using T-shaped resonator – A Sheikhi, A Alipour, A Abdipour, IEEE Microwave and Wireless Components Letters 27 (2), 111-113 📈 (65 citations) 2017
Design and fabrication of an ultra-wide stopband compact bandpass filter – A Sheikhi, A Alipour, A Mir, IEEE Transactions on Circuits and Systems II: Express Briefs 67 (2), 265-269 📉 (43 citations) 2019
Ultra high capacity inter-satellite optical wireless communication system using different optimized modulation formats – A Alipour, A Mir, A Sheikhi, Optik 127 (19), 8135-8143 🌌 (42 citations) 2016
Compact lowpass filter with wide stopband using modified semi-elliptic and semi-circular microstrip patch resonator – M Hayati, A Sheikhi, A Lotfi, Electronics Letters 46 (22), 1507-1509 🔍 (38 citations) 2010
Design of microstrip wide stopband lowpass filter with lumped equivalent circuit – A Sheikhi, A Alipour, H Hemesi, Electronics Letters 53 (21), 1416-1418 💡 (32 citations) 2017
High-Efficiency Class-and Class-F/E Power Amplifiers at Any Duty Ratio – A Sheikhi, M Hayati, A Grebennikov, IEEE Transactions on Industrial Electronics 63 (2), 840-848 📊 (31 citations) 2015
Class-F power amplifier with high power added efficiency using bowtie-shaped harmonic control circuit – M Hayati, A Sheikhi, A Grebennikov, IEEE Microwave and Wireless Components Letters 25 (2), 133-135 📉 (31 citations) 2015
Effect of Nonlinearity of Parasitic Capacitance on Analysis and Design of Class E/F3 Power Amplifier – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (8), 4404-4411 🔬 (30 citations) 2014
Microstrip lowpass filter with high and wide rejection band – M Hayati, H Asadbeigi, A Sheikhi, Electronics Letters 48 (19), 1217-1219 📉 (30 citations) 2012
Design and Analysis of Class E/F Power Amplifier with Nonlinear Shunt Capacitance at Nonoptimum Operation – M Hayati, A Sheikhi, A Grebennikov, IEEE Transactions on Power Electronics 30 (2), 727-734 📈 (28 citations) 2014

Conclusion

Prof. Akram Sheikhi’s combination of a solid educational background, extensive skills and expertise, substantial academic experience, recognized honours and awards, and diverse research interests make him a highly suitable candidate for the Research for Best Researcher Award. His contributions to advanced RF and microwave technologies and integration with AI are particularly noteworthy, positioning him as a leading researcher in his field.

Sandeep Panwar Jogi | Engineering | Best Researcher Award

Posted on 23/08/202423/08/2024 by ScienceFather

Dr. Sandeep Panwar Jogi | Engineering | Best Researcher Award

Dr. Sandeep Panwar Jogi, Memorial Sloan Kettering Cancer Center, United States

Based on Dr. Sandeep Panwar Jogi’s impressive profile, he appears to be a strong candidate for the Research for Best Researcher Award.

Publication profile

Google Scholar

Education and Experience

Dr. Jogi holds a Ph.D. in Biomedical Engineering with a focus on MRI-based assessments of knee joints. His educational background includes a B.Tech and M.Tech in Biomedical Engineering, demonstrating a solid foundation in the field. With over 10 years of experience, his career spans roles as a Research Scholar at Memorial Sloan Kettering Cancer Center, Assistant Professor at various institutions, and a Biomedical Engineer. This extensive background underscores his depth of knowledge and expertise in his field.

Research and Innovations

Dr. Jogi’s research includes developing novel MR imaging devices and AI-based algorithms. His patents and publications highlight significant contributions, such as an MR-safe loading device for knee joint assessment and AI-driven solutions for MR scanning efficiency and clinical information extraction. His work on MRI-compatible devices and AI in medical imaging demonstrates his commitment to advancing healthcare technology.

Publications

Review on brain tumor detection using digital image processing – 12 citations, 2014 📊
Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis – 10 citations, 2021 📈
Device for Assessing Knee Joint Dynamics During Magnetic Resonance Imaging – 5 citations, 2021 🦵
A semi‐automatic framework based upon quantitative analysis of MR‐images for classification of femur cartilage into asymptomatic, early OA, and advanced‐OA groups – 3 citations, 2022 🦴
Modified radial-search algorithm for segmentation of tibiofemoral cartilage in MR images of patients with subchondral lesion – 3 citations, 2020 🩺
Explainability of Artificial Intelligence for Diagnosing COVID-19 from Chest X-Rays – 1 citation, 2021 🤖
Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality – 1 citation, 2019 📉
Automated seed points selection based radial-search segmentation method for sagittal and coronal view knee MRI imaging – 1 citation, 2017 🩻
Novel Spin-lock Time Sampling Strategies for Improved Reproducibility in Quantitative T1ρ Mapping – No citations yet, 2024 🧪
4D Lung MRI with Isotropic Resolution on a 1.5T MR-Linac using a Self-Navigated 3D Radial Kooshball Acquisition and Sparse Motion Reconstruction – No citations yet, 2024 🌬️
Accelerated Abdominal 3D T1rho Mapping using Diamond Radial Sampling – No citations yet, 2024 📉
Quantitative 3D T1rho and T2 Mapping for Radiotherapy Treatment Response Monitoring in Head and Neck Cancer – No citations yet, 2024 🧠
Novel Sampling Schemes of Spin-locking Times to Improve Reproducibility of Quantitative 3D T1rho Mapping – No citations yet, 2024 🔍
Automatic Liver and Subcutaneous Fat Segmentation from MRI-PDFF Images – No citations yet, 2020 🏥
An approach to validate MRI Compatible axial Knee joint Loading Device with various standing posture in Standing MRI – No citations yet, 2019 🦵
Retrospective comparative study to assess the pitfalls of CartiGram and the complementary role of FSPD in the evaluation of cartilage lesions of the knee joint – No citations yet, 2019 🔬
Evaluating variability of T2 values of the cartilage, menisci and muscles around knee joint on CartiGram sequence at 1.5 T and 3.0 T MR – No citations yet, 2019 📉
Semi-Automatic Quantitative Analysis of Cartilage Thickness & T2 Values – No citations yet, 2018 📏
Quantitative MR Imaging of Articular Knee cartilage with Axial Loading during Image Acquisition – No citations yet, 2018 🦵
Automated Seed Points Selection Based Radial Search Segmentation Method for Sagittal and Coronal View Knee MRI Imaging – No citations yet, 2018 🖼️

Core Competencies

Dr. Jogi’s skills in medical image analysis, machine learning, and AI are well-aligned with the award’s criteria. His expertise in MRI, CT, X-ray modalities, and product development positions him as a leader in his field. His ability to interact with clinicians and develop novel imaging solutions showcases his practical and innovative approach to solving healthcare challenges.

Conclusion

Dr. Sandeep Panwar Jogi is a compelling candidate for the Research for Best Researcher Award. His blend of advanced education, extensive research experience, innovative contributions, and active involvement in the scientific community aligns well with the award’s objectives. His work not only advances medical imaging technologies but also demonstrates a profound impact on healthcare solutions.

Bimrew Tamrat | Engineering | Best Researcher Award

Posted on 23/08/202423/08/2024 by ScienceFather

Assoc Prof Dr. Bimrew Tamrat | Engineering | Best Researcher Award

Assoc Prof Dr. Bimrew Tamrat, Bahir Dar University, Ethiopia

Based on the details provided about Dr. Bimrew Tamrat Admasu’s qualifications, academic background, and extensive publication record, he seems to be a strong candidate for a Best Researcher Award.

Publication profile

Scopus

Orcid

Academic and Professional Qualifications

Dr. Bimrew Tamrat Admasu holds a Ph.D. in Mechanical Engineering with a specialization in Thermal Power Engineering from the prestigious Huazhong University of Science and Technology, China. This qualification highlights his solid academic foundation in engineering and thermal power systems, which is highly relevant to current global energy challenges.

Research Output

Dr. Tamrat has a prolific publication record, with numerous research articles published in international, peer-reviewed journals. His work covers diverse areas such as thermal sciences, heat exchangers, solar energy, and wind power optimization. The volume and quality of his publications, including contributions to highly reputable journals like International Journal of Thermal Sciences and Energy Reports, demonstrate his active engagement in cutting-edge research.
His research not only contributes to fundamental scientific understanding but also has practical implications for energy efficiency, renewable energy utilization, and sustainable engineering practices.

Research Impact and Collaboration

Dr. Tamrat’s research often involves collaborations with other researchers from various countries, which indicates his ability to work in a multidisciplinary and international research environment. His work on solar cookers, wind power systems, and energy storage technologies reflects a broad impact on sustainable energy solutions, essential for addressing global energy challenges.
His contributions to technological innovation, such as the development of efficient solar dryers and advanced thermal energy storage systems, highlight the applicability and societal relevance of his research.

Publications

Experimental testing on the performance of solar dryer equipped with evacuated tube collector, rock bed heat storage, and reflectors (2024) – Yematawu, S., Tamrat, B., Tarekegn, D., Mulugeta, H.
🌞📊
Performance prediction of a pump as a turbine using energy loss analysis (2024) – Bantelay, D.T., Gebresenbet, G., Admasu, B.T., Tigabu, M.T., Getie, M.Z.
💧🔄
Multi-objective optimization of a Fibonacci phyllotaxis micro pin-fin heat sink (2024) – Shemelash, A., Tamrat, B., Temesgen, M., Mulugeta, H., Solomon, H.G.
🔍♾️
Performance study of low temperature air heated rock bed thermal energy storage system (2024) – Salehudress, Z.M., Habtu, N.G., Admasu, B.T., Delele, M.A., Asemu, A.M.
🌡️🪨
Corrigendum to “Smoothing electric power production with DFIG-based wind energy conversion technology by employing hybrid controller model” (2024) – Desalegn, B., Gebeyehu, D., Tamrat, B.
🌬️🔧
Investigating the quality of Ethiopian steel reinforcing bars through comprehensive analysis (2024) – Fente, T.E., Tsegaw, A.A., Abebe, A.T., Admasu, B.T.
🏗️🛠️
One-dimensional pump geometry prediction modeling for energy loss analysis of pumps working as turbines (2024) – Bantelay, D.T., Gebresenbet, G., Admasu, B.T., Gebeyehu, S.G.
🏞️📐 | 1 citation
Onshore versus offshore wind power trends and recent study practices in modeling of wind turbines’ life-cycle impact assessments (2023) – Desalegn, B., Gebeyehu, D., Tamrat, B., Tadiwose, T., Lata, A.
🌊🌪️ | 8 citations
Smoothing electric power production with DFIG-based wind energy conversion technology by employing hybrid controller model (2023) – Desalegn, B., Gebeyehu, D., Tamrat, B.
⚡🌀 | 3 citations
Passive solar tracker using a bimetallic strip activator with an integrated night return mechanism (2023) – Alemayehu, M., Admasu, B.T.
🌅🛠️ | 1 citation

Conclusion

Considering Dr. Tamrat’s academic achievements, extensive publication record, impactful research contributions, and international collaborations, he appears well-suited for recognition with the Best Researcher Award. His work in renewable energy, thermal power engineering, and sustainability aligns with critical global research priorities, making him a valuable asset to the scientific community.

Bhagavat Jadhav | Engineering | Best Researcher Award

Posted on 27/06/202428/06/2024 by ScienceFather

Dr. Bhagavat Jadhav | Engineering | Best Researcher Award

Pediatric Otolaryngologist, Mary Bridge Children’s Hospital, United States

Dr. Jadhav Bhagavat Dnyaneshwar, Ph.D., is an accomplished academic and researcher in Electronics and Telecommunication Engineering. He serves as the Controller of Examinations and Professor at JSPM’s Rajarshi Shahu College of Engineering, Pune. With over 21 years of experience, Dr. Jadhav has a robust academic background including a Ph.D. from Savitribai Phule Pune University. His expertise spans satellite image processing, electronic devices, and he holds patents in automated systems and vehicle detection. He is actively involved in consultancy projects and has numerous publications in international journals and conferences.

Publication profile

Scopus

🎓 Education

Dr. Jadhav holds a Ph.D. in Electronics and Telecommunication Engineering from Savitribai Phule Pune University, specializing in “Analysis of High Resolution Multispectral Satellite Images for Land Coverage Mapping and Agricultural Management.” He earned his Master’s and Bachelor’s degrees with distinction, and has a Diploma in Industrial Electronics.

🏅 Experience and Achievements

Dr. Jadhav has progressed from lecturer to Controller of Examinations at JSPM’s Rajarshi Shahu College of Engineering. He is a recognized member of academic boards and has guided multiple Ph.D. students. His contributions include patent publications, consultancy projects, and numerous international paper and conference presentations.

Research Focus

Dr. Jadhav Bhagavat Dnyaneshwar’s research focuses on satellite image processing 🛰️, particularly in applications such as land cover mapping and agricultural management 🌱. His expertise spans remote sensing 🌍, hyperspectral and multispectral image analysis 🖼️, and the development of automated systems for urban monitoring 🏙️ and vehicle detection 🚗. He also explores techniques for enhancing satellite images using wavelet transforms and optimization algorithms 🌐.