Martinson Yeboah Appiah | Engineering | Best Researcher Award

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Mr. Martinson Yeboah Appiah | Engineering | Best Researcher Award

Mr. Martinson Yeboah Appiah, Jiangsu University, China

Mr. Martinson Yeboah Appiah, a Ghanaian professional, is a Quantitative Researcher at Jiangsu University, China πŸ‡¨πŸ‡³. He holds an MSc in Management Science and Engineering from Jiangsu University (2020) and a BSc in Ports and Shipping Administration from the Regional Maritime University, Ghana πŸ‡¬πŸ‡­. His expertise spans transport planning, supply chain management, and operations research. Notable accomplishments include publications on logistics optimization and a Presidential Scholarship award (2017–2020). Proficient in Python and MATLAB, Martinson integrates data-driven solutions into logistics and education. His research emphasizes low-carbon routing and cold chain logistics, contributing to sustainability and innovation. ✨

 

Publication Profile

Scopus

🌟 Professional Experience

Mr. Martinson Yeboah Appiah has extensive experience across academia and industry. Currently, he is a Quantitative Researcher at Jiangsu University πŸ‡¨πŸ‡³, where he teaches Operations Research and Managerial Economics, conducts data analysis using Python and MATLAB, and explores innovations like green logistics. As a Research Assistant (2018–2020), he supervised student projects and taught Mathematics and Science. Earlier, at the Regional Maritime University πŸ‡¬πŸ‡­, he organized lectures, educational trips, and mentored students (2016–2018). Additionally, he worked as a Stevedore at Ghana Ports and Harbours Authority, tallying containers and managing cargo operations. His diverse expertise blends teaching, research, and logistics. πŸ“ŠπŸš’

 

πŸŽ“ Educational Background

Mr. Martinson Yeboah Appiah holds a Master of Science in Management Science and Engineering from Jiangsu University πŸ‡¨πŸ‡³ (2017–2020). His coursework included Operations Management, Game Theory, Econometric Models, and Managerial Economics, equipping him with advanced analytical and decision-making skills. Earlier, he earned a Bachelor of Science in Ports and Shipping Administration from the Regional Maritime University πŸ‡¬πŸ‡­ (2012–2016). His studies covered areas such as Marine Engineering, Logistics Management, Maritime Administration, and the Law of the Sea. These academic foundations have empowered him to excel in operations, logistics, and maritime studies. πŸŒπŸ“ŠπŸš’

 

πŸ“œ Professional Qualifications

Mr. Martinson Yeboah Appiah is a distinguished professional with certifications in logistics and transport. He earned his Diploma in Logistics and Transport (DILT) from the Chartered Institute of Logistics and Transport, UK πŸ‡¬πŸ‡§ (2016–2018) in Accra, Ghana πŸ‡¬πŸ‡­. Additionally, he completed a specialized training program on Managing Logistics in Oil and Gas in April 2014, broadening his expertise in the energy sector. These qualifications underscore his proficiency in logistics management, particularly in high-demand industries such as oil and gas. πŸš›β›½πŸ“¦

 

πŸ” Research Interests

Mr. Martinson Yeboah Appiah’s research interests span diverse and impactful areas. He is deeply engaged in Transport Planning and Management πŸš‰, focusing on optimizing systems for efficiency and sustainability. His work in Supply Chain Management πŸ“¦ emphasizes innovation and cost minimization. With expertise in Operations Research πŸ“Š, he explores advanced analytical methods to solve complex logistical challenges. Additionally, his passion for Economic Geography 🌍 drives him to investigate the spatial and economic dynamics of transportation and trade systems. These interests align with his goal of contributing to sustainable development and global connectivity.

 

Publication Top NotesΒ πŸ“š

  • πŸ“˜ Solving a low-carbon routing problem for perishable distribution food – Appiah, M.Y., Huaping, S. | Published: 2024 | International Journal of Sustainable Engineering.
  • πŸ“˜ Route optimization cold chain logistic distribution using greedy search method – Qiang, X., Appiah, M.Y., Boateng, K., Appiah, F.V.W. | Published: 2020 | Cited by: 11 | OPSEARCH.

Akram Sheikhi | Engineering Award | Best Researcher Award

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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 πŸ“ˆ (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 πŸ“‰ (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 πŸ” (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 πŸ’‘ (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 πŸ“Š (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 πŸ“‰ (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 πŸ”¬ (30 citations) 2014
  • Microstrip lowpass filter with high and wide rejection band – M Hayati, H Asadbeigi, A Sheikhi, Electronics Letters 48 (19), 1217-1219 πŸ“‰ (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 πŸ“ˆ (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

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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

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.

PublicationsΒ 

  • Review on brain tumor detection using digital image processing – 12 citations, 2014 πŸ“Š
  • Model for in-vivo estimation of stiffness of tibiofemoral joint using MR imaging and FEM analysis – 10 citations, 2021 πŸ“ˆ
  • 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 πŸ€–
  • Automated Segmentation of Knee Cartilage Using Modified Radial Approach for OA Patients with and without Bone Abnormality – 1 citation, 2019 πŸ“‰
  • 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 πŸ§ͺ
  • 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 πŸ“‰
  • 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 πŸ”
  • Automatic Liver and Subcutaneous Fat Segmentation from MRI-PDFF Images – No citations yet, 2020 πŸ₯
  • 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 πŸ”¬
  • 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 πŸ“‰
  • Semi-Automatic Quantitative Analysis of Cartilage Thickness & T2 Values – No citations yet, 2018 πŸ“
  • 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 πŸ–ΌοΈ

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

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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

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 OutputΒ 

  • 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.
    πŸŒžπŸ“Š
  • 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.
    πŸ’§πŸ”„
  • Multi-objective optimization of a Fibonacci phyllotaxis micro pin-fin heat sink (2024) – Shemelash, A., Tamrat, B., Temesgen, M., Mulugeta, H., Solomon, H.G.
    πŸ”β™ΎοΈ
  • 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.
    🌑️πŸͺ¨
  • Corrigendum to β€œSmoothing electric power production with DFIG-based wind energy conversion technology by employing hybrid controller model” (2024) – Desalegn, B., Gebeyehu, D., Tamrat, B.
    πŸŒ¬οΈπŸ”§
  • Investigating the quality of Ethiopian steel reinforcing bars through comprehensive analysis (2024) – Fente, T.E., Tsegaw, A.A., Abebe, A.T., Admasu, B.T.
    πŸ—οΈπŸ› οΈ
  • 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.
    πŸžοΈπŸ“ | 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.
    🌊πŸŒͺ️ | 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.
    βš‘πŸŒ€ | 3 citations
  • Passive solar tracker using a bimetallic strip activator with an integrated night return mechanism (2023) – Alemayehu, M., Admasu, B.T.
    πŸŒ…πŸ› οΈ | 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.

 

Guo Ren Mong | Engineering | Best Researcher Award

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Guo Ren Mong | Engineering | Best Researcher Award

Assist Prof Dr Guo Ren Mong, xiamen university malaysia, Malaysia

Assist. Prof. Dr. Guo Ren Mong appears to be a strong candidate for the “Best Researcher Award”.

Publication profile

google scholar

Educational Background

He has a solid academic foundation with a Ph.D. in Mechanical Engineering, during which he worked on innovative research in biofuel production from horse manure. His work was recognized with the Chancellor Award, highlighting his academic excellence.

Research Contributions

His research interests are deeply rooted in renewable energy, particularly in waste-to-energy transformation and pyrolysis technology. He has led several significant research projects, including studies on microwave pyrolysis of plastic waste and industrial sludge, which demonstrate his innovative approach to solving environmental challenges.

Publications

Dr. Mong has contributed to high-impact journals, with publications that focus on advancements in combustion technologies, pyrolysis, and renewable energy. His work has been widely cited, showcasing his influence in the field.

Awards and Recognitio

He has received multiple awards, including gold medals and best presenter awards at international conferences, reflecting his impact and recognition in the academic community.

Teaching and Mentorship

His role as an educator and mentor further solidifies his qualifications. He has successfully guided both undergraduate and postgraduate students, contributing to the academic and professional development of future engineers and researchers.

Given his academic achievements, innovative research contributions, and recognition within the academic community, Dr. Guo Ren Mong is indeed a suitable candidate for the “Best Researcher Award.”

Publication top notes

Advancements of combustion technologies in the ammonia-fuelled engines

Pyrolysis characteristics and kinetic studies of horse manure using thermogravimetric analysis

Microwave pyrolysis for valorisation of horse manure biowaste

Progress and challenges in sustainable pyrolysis technology: Reactors, feedstocks and products

Multivariate optimisation study and life cycle assessment of microwave-induced pyrolysis of horse manure for waste valorisation and management

Bibliometric analysis of the research landscape on rice husks gasification (1995–2019)

Pyrolysis of waste activated sludge from food manufacturing industry: Thermal degradation, kinetics and thermodynamics analysis

Effects of swirler vane angle on palm biodiesel/natural gas combustion in swirl-stabilised gas turbine combustor

Controlling infectious airborne particle dispersion during surgical procedures: Why mobile air supply units matter?

Correlating black soldier fly larvae growths with soluble nutrients derived from thermally pre-treated waste activated sludge

Harish Selvam | Engineering | Best Researcher Award

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Dr. Harish Selvam | Engineering | Best Researcher Award

Post-doctoral researcher, Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Germany

Harish Selvam is a Scientific Staff member at the Institute of Hydraulic Engineering and Water Resources Management (IWW) at RWTH Aachen University, Germany. With over 8 years of expertise in Hydraulics and Coastal Engineering, Harish’s research focuses on physical and numerical modeling, particularly in violent tsunami-structure interactions. His dual MS and PhD in Ocean Engineering were awarded with distinction from RWTH Aachen University and Indian Institute of Technology Madras. πŸŒŠπŸ›οΈ

Publication Profile

Strengths for the Award:

  1. Academic Excellence: Harish Selvam’s educational background is impressive, with a dual degree (MS & PhD) in Ocean Engineering from RWTH Aachen University and IIT Madras, completed with distinction. His B.E. in Civil Engineering also showcases strong academic performance.
  2. Research Contributions: His PhD thesis on violent tsunami-structure interaction is a significant contribution to the field of Hydraulics and Coastal Engineering. He has published numerous papers in high-impact journals such as Coastal Engineering, Water, Applied Ocean Research, and Ocean Engineering, indicating a strong research output.
  3. Awards and Recognitions: Harish has received prestigious awards, including the Prof. Vallam Sundar best PhD thesis in Ocean Engineering from IIT Madras and the ISH best PhD thesis award in Hydraulics, water resources, and coastal engineering.
  4. Professional Experience: With eight years of experience in Hydraulics and Coastal Engineering, Harish has held significant positions, including Junior Research Group Coastal Engineering Leader and Scientific Staff at RWTH Aachen University. His involvement in major projects and contributions to CFD software development demonstrate his applied research skills.
  5. Technical Skills: Proficiency in programming languages (MATLAB, C++, FORTRAN) and technical software (AutoCAD, Stadd Pro, FreeCAD, OpenFOAM, DualSPHysics, Ansys) highlights his capability in numerical and physical modeling.
  6. Supervision and Mentorship: Harish has supervised multiple Master’s and Bachelor’s theses, indicating his leadership and mentorship abilities. His guidance on projects related to tsunami-like wave impacts and hydraulic engineering showcases his expertise in guiding young researchers.
  7. International Exposure: Harish’s involvement in international projects and conferences, along with scholarships from DAAD and UGC, underscores his global perspective and collaboration.

Areas for Improvement:

  1. Language Proficiency: While Harish has basic proficiency in German (A2.1 level), improving his language skills could enhance his integration and communication within the international research community in Germany and beyond.
  2. Expanded Research Impact: While his research is strong, broadening the impact through more interdisciplinary collaborations and applications beyond tsunami-structure interaction could enhance his profile further.
  3. Industry Collaboration: Increasing collaborations with industry partners could translate his research findings into practical solutions and innovations, thereby enhancing the societal impact of his work.

Conclusion:

Harish Selvam is a highly suitable candidate for the Best Researcher Award. His robust academic background, significant research contributions, professional experience, and technical skills make him a standout researcher in the field of Hydraulics and Coastal Engineering. While there are areas for improvement, such as language proficiency and expanding the impact of his research, his overall profile is highly commendable and deserving of recognition.

 

Education

Harish completed his dual degree MS & PhD in Ocean Engineering from RWTH Aachen University and Indian Institute of Technology Madras in July 2023, graduating with a summa cum laude distinction and a 9.74 CGPA. He holds a B.E. in Civil Engineering from Rajalakshmi Engineering College, Chennai, with an 8.74 CGPA. He also achieved top grades in his Higher Secondary and Matriculation courses. πŸŽ“πŸ“š

Experience

Currently, Harish serves as a Junior Research Group Coastal Engineering Leader at IWW, RWTH Aachen University. His previous roles include Scientific Staff at IWW since October 2021 and Project Associate at IIT Madras. He has worked extensively with OpenFOAM and other CFD software, and has been involved in notable projects like the “Impact of waterborne debris on near shore structures” and “Flood-induced building damages after 2021 German floods.” πŸ—οΈπŸŒ

Research Focus

Harish’s research primarily investigates tsunami-like flow interactions with coastal structures. His PhD thesis delves into tsunami-induced forces on shorefront structures, leveraging both physical experiments and numerical simulations to enhance understanding and design improvements in coastal engineering. His current work includes numerical simulations of tsunami impacts and flow interactions with various structural models. πŸŒͺοΈπŸ”¬

Awards

Prof. Vallam Sundar Best PhD Thesis Award (2023), Indian Society of Hydraulics (ISH) Best PhD Thesis Award (2023), GATE Qualification (2016), University Rank Holder in B.E. among colleges affiliated with Anna University, Chennai. πŸ†πŸŽ–οΈ

Publications

  1. Harish, S., Sriram, V., SchΓΌttrumpf, H., & Sannasiraj, S. A. (2021). Tsunami-like flow induced force on the structure: Prediction formulae for the horizontal force in quasi-steady flow phase. Coastal Engineering, 168, 103938.
  2. Harish, S., Sriram, V., SchΓΌttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like flow induced forces on the structure: Dependence of the hydrodynamic force coefficients on Froude number and flow channel width. Coastal Engineering, 172, 104078.
  3. Harish, S., Sriram, V., SchΓΌttrumpf, H., & Sannasiraj, S. A. (2022). Tsunami-like Flow-Induced Forces on the Landward Structure behind a Vertical Seawall with and without Recurve Using OpenFOAM. Water, 14(13), 1986.
  4. Harish, S., Sriram, V., SchΓΌttrumpf, H., & Sannasiraj, S. A. (2022). Flow-structure interference effects with the surrounding structure in the choked quasi-steady condition of tsunami: Comparison with traditional obstruction approach. Applied Ocean Research, 126, 103255.
  5. Harish, S., Sriram, V., SchΓΌttrumpf, H., & Sannasiraj, S. A. (2024). Tsunami-like flow induced forces on the building with openings and orientation in the quasi-steady flow phase. Ocean Engineering, 301, 117337.

 

Mutiu Shola Bakare | Engineering | Best Researcher Award

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Mutiu Shola Bakare | Engineering | Best Researcher Award

Mutiu Shola Bakare, Kampala International University, Uganda, Uganda

Mutiu Shola Bakare is a PhD candidate in Electrical and Electronics Engineering at Kampala International University, Uganda (2022-present) πŸ“š. He holds an M.Eng. from the University of Ilorin, Nigeria, and a B.Eng. from the Federal University of Technology Minna, Nigeria 🏫. As an Assistant Lecturer at Kampala International University, he specializes in electrical engineering subjects like Power Quality Management and Circuit Theory ⚑. His research focuses on renewable energy, smart grids, and energy management πŸ”‹. Bakare has contributed to numerous publications, seminars, and conferences 🌍. He is proficient in MATLAB/Simulink and Microsoft Office πŸ“Š.

Publication profile

google scholar

Academic background

John is currently pursuing a Doctor of Philosophy (PhD) in Electrical and Electronics at Kampala International University, starting in 2022. He previously completed his Master of Engineering (M. Eng.) in Electrical and Electronics from the University of Ilorin, Nigeria, between 2017 and 2021. Prior to that, John earned a Bachelor of Engineering (B. Eng.) in Electrical and Computer Engineering from the Federal University of Technology Minna, Nigeria, graduating with a Second Class Upper Division in 2014. His academic journey showcases a robust foundation and continuous dedication to excellence in the field of electrical engineering. βš‘πŸ”§

Experience

John Doe is an Assistant Lecturer at Kampala International University, Uganda, specializing in Electrical and Electronics Engineering since 2022. He teaches courses such as Electrical Installation and Maintenance, Power Generation, Transmission and Distribution, Circuit Theory, and Power Electronics. πŸ“š Previously, he was a Research Assistant at the University of Ilorin, Nigeria, focusing on Advanced Power and Green Energy Research from 2019 to 2022. 🌱 Prior to this, he tutored Physics and Further Mathematics at Government Day Secondary School (2018-2019). πŸ”§ His experience includes working as a Site Engineer at Thamar Engineering Company Limited (2015-2018), where he managed various electrical installations, including transformers and generators. ⚑

Research focus

Mutiu Shola Bakare is a prominent researcher focusing on smart grid technologies and energy management. His research primarily revolves around the development of intelligent systems for demand-side energy management, incorporating techniques such as fuzzy logic, ANFIS, and gene expression programming. He explores solutions for integrating hybrid energy sources, optimizing load forecasting, and enhancing the efficiency of grid-connected systems. Bakare’s work significantly contributes to the advancement of energy informatics and the performance evaluation of energy management systems, promoting sustainable and efficient energy usage in modern smart grids. πŸ”

Publication top notes

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Development of fuzzy logic-based demand-side energy management system for hybrid energy sources

Performance Evaluation of Different Membership Function in Fuzzy Logic Based Short-Term Load Forecasting.

Simulation based testing and performance investigation of induction motor drives using matlab simulink

A hybrid long-term industrial electrical load forecasting model using optimized ANFIS with gene expression programming

PREDICTIVE ENERGY CONTROL FOR GRID-CONNECTED INDUSTRIAL PV-BATTERY SYSTEMS USING GEP-ANFIS

e-Prime-Advances in Electrical Engineering, Electronics and Energy

PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

Energy Reports

 

 

 

Ibrahim Sadek | Engineering | Best Researcher Award

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Ibrahim Sadek | Engineering | Best Researcher Award

Dr Ibrahim Sadek, Helwan University, Egypt

Dr. Ibrahim Sadek is a seasoned expert in biomedical engineering and artificial intelligence, with an impressive academic background that spans across Egypt, France, and Singapore 🌍. He holds a Ph.D. in Computer Science from the University of Montpellier and has served in notable roles including postdoctoral fellowships at the University of Sherbrooke and ST Electronics-SUTD Cyber Security Laboratory. Currently, he leads the AI program at the University of Hertfordshire’s GAF Cairo campus πŸ‡ͺπŸ‡¬. His work in signal processing and machine learning has garnered awards and led to groundbreaking advancements in healthcare and cybersecurity πŸš€. Fluent in Arabic and English, Dr. Sadek’s multilingual prowess complements his technical skills in Python, C++, and MATLAB πŸ’‘.

Publication profile

google scholar

Education

He completed his Ph.D. in Computer Science from the University of Montpellier, France πŸ‡«πŸ‡·, in 2018, with a focus on pervasive access technologies through collaboration with IPAL and CNRS UMI 2955/A*STAR in Singapore πŸ‡ΈπŸ‡¬. Dr. [Name] holds a distinguished M.Sc. in Computer Vision and Robotics from the prestigious VIBOT program, involving studies at Heriot-Watt University in the UK πŸ‡¬πŸ‡§, University of Burgundy in France, and University of Girona in Spain πŸ‡ͺπŸ‡Έ. He earned his B.Sc. in Biomedical Engineering from Helwan University, Egypt πŸ‡ͺπŸ‡¬, graduating top of his class with honors. He also spent a year at the University of Chemical Technology and Metallurgy in Bulgaria πŸ‡§πŸ‡¬ through the Erasmus Mundus program. πŸŽ“πŸŒŸ

Experience

During my postdoctoral research fellowship at the University of Sherbrooke, Canada (09/2019 to 08/2021), I developed signal processing and machine learning tools to analyze in-bed ballistocardiogram signals for detecting abnormal cardiac events, such as arrhythmias, and abnormal breathing events like obstructive sleep apnea. πŸ“Šβ€οΈ Since December 2019, I’ve been lecturing at the Biomedical Engineering Department, Helwan University, Egypt, teaching courses including Biomedical Signal Processing and Neural Networks. πŸŽ“πŸ§  As of December 2023, I lead the Computer Science/Artificial Intelligence Programme at the University of Hertfordshire’s Faculty of Engineering, hosted by GAF Cairo, Egypt. My role includes coordinating modules and exams, and maintaining academic communication between institutions. 🌍πŸ–₯️ My previous roles include part-time instructor positions at the University of Hertfordshire and Cairo University, teaching subjects like Software Architecture and Biomedical Data Analytics. πŸ«πŸ“š Additionally, I was a postdoctoral fellow at ST Electronics-SUTD Cyber Security Laboratory, Singapore (06/2018 to 07/2019), where I worked on malware detection and network traffic anomaly analysis. πŸ”πŸ’» My research background also includes a Ph.D. in nonintrusive nocturnal remote monitoring of vital signs and a master’s internship on the automatic discrimination of retinal images, which led to a best paper award at SPIE 2015. πŸ†πŸ”¬

Awards

During the years 2015 to 2018, I received the A*STAR Research Attachment Program (ARAP) Grant 🌟, coordinated by the Institute for Infocomm Research (I2R) in Singapore and the Institute Mines-Telecom in France. In 2016, I secured the Alexandra Health Enabling Grant (AHEG1606) for a project at Khoo Teck Puat Hospital in Singapore πŸ₯, focused on developing a novel unobstructed mattress sensor to detect obstructive sleep apnea 😴. I won the Robert F. Wagner All-Conference Best Student Paper Award in 2015 πŸ“œ for my paper on retinal image discrimination. I was also a recipient of the Erasmus Mundus Grant in Computer Vision and Robotics (2012-2014) πŸ€–, coordinated by three European universities. Earlier, I won the Young Innovator’s Award in 2010 πŸ† for my graduation project, and from 2007 to 2008, I held an undergraduate scholarship through the Erasmus Mundus External Cooperation Window πŸŽ“, coordinated by the University of Chemical Technology’s biotechnology engineering department.

Research focus

Ibrahim Sadek‘s research primarily focuses on nonintrusive health monitoring, emphasizing the use of advanced signal processing techniques for various medical applications. His work spans ballistocardiogram (BCG) signal processing for heart rate and vital signs monitoring πŸ©ΊπŸ’“, nonintrusive methods for sleep apnea detection πŸ›ŒπŸ’€, and the application of machine learning and IoT technologies in healthcare πŸ§ πŸ“‘. Sadek also explores image processing for retinal health analysis πŸ‘οΈπŸ–ΌοΈ, privacy and security concerns in IoT-based healthcare systems πŸ”πŸ“±, and comparative studies of wearable and non-wearable devices for health tracking πŸšΆβ€β™‚οΈπŸ“². His research integrates interdisciplinary approaches to enhance non-invasive medical diagnostics and patient monitoring systems.

Publication top notes

Tongtong Wan | Engineering Award | Best Researcher Award

Posted on by ScienceFather

Tongtong Wan | Engineering Award | Best Researcher Award

Tongtong Wan, East China Jiaotong University, China

Dr. Tongtong Wan is an accomplished scholar in civil engineering. She earned her Ph.D. from Chang’an University (2017-2023) and her Bachelor’s from Nanchang Hangkong University (2013-2017). She gained international experience as a visiting student at Nottingham University (2020-2021) 🌍 and is currently a lecturer at East China Jiaotong University (2023-present) πŸ‘©β€πŸ«. Her research on inverted pavement and pavement detection has been widely recognized, with publications in top journals like “Computer-Aided Civil and Infrastructure Engineering” πŸ…. Dr. Wan has presented at major conferences and participated in several key research projects, earning accolades such as the best wall poster award and a national scholarship 🌟.

 

Publication Profile

Scopus

Education πŸŽ“

Dr. Tongtong Wan earned her Ph.D. in civil engineering from Chang’an University (2017-2023) and her Bachelor’s degree from Nanchang Hangkong University (2013-2017).

Experience 🌍

She expanded her academic horizons as a visiting student at Nottingham University (2020-2021) and currently serves as a lecturer at East China Jiaotong University (2023-present).

Academic Achievements πŸ…

Dr. Wan’s research centers on inverted pavement, unbound aggregates, slushing processes, and pavement detection. She has published around 10 papers in international and Chinese journals, including an article in the prestigious “Computer-Aided Civil and Infrastructure Engineering.” She has presented at notable conferences like WTC and SATC, winning the best wall poster award. Additionally, she was awarded a national scholarship for her studies at Nottingham University. Her contributions extend to projects under the National Natural Science Foundation, the Ministry of Transport, and the Hebei Provincial Department of Transportation, garnering recognition from experts in her field.

Research Focus

Dr. Tongtong Wan’s research focuses on several key areas in civil engineering, particularly in pavement engineering. Her work includes studying inverted asphalt pavement structures, optimizing evaluation indicators for asphalt pavement surface segregation, and examining the thermal contraction behavior between unbound aggregate layers and asphalt mixtures 🌟. She employs advanced methods such as the finite difference and discrete element coupling method and response surface method in her research πŸ› οΈ. Additionally, Dr. Wan investigates the use of smartphone image processing techniques for assessing pavement conditions πŸ“±. Her contributions are published in reputable journals like “Computer-Aided Civil and Infrastructure Engineering” and “Construction and Building Materials” πŸ“š.

 

Publication Top Notes

A method determining critical operating parameters for landing aircraft based on runway pavement skid resistance