Praveenkumar Thangavelu | Battery | Best Researcher Award

Published on 01/04/2024 by WSA Awards

Dr. Praveenkumar Thangavelu | Battery | Best Researcher Award

Assistant Professor at Battery, SRM Institute of Science and Technology, India.

Dr. T. Praveenkumar’s research focuses on fault diagnosis in automotive gearboxes, utilizing machine learning techniques and pattern recognition for on-line vibration monitoring systems. He has also explored multi-sensor information fusion for gearbox fault diagnosis, particularly using discrete wavelet features. His work extends to comparing different analysis methods like vibration, sound, and motor current signature analysis for gearbox fault detection. Dr. Praveenkumar has also contributed to the study of intelligent fault diagnosis in synchromesh gearboxes using a fusion of vibration and acoustic emission signals for performance enhancement.

Professional Profiles:

Education:

Dr. T. Praveenkumar’s educational journey reflects his dedication to Automotive Engineering and his pursuit of excellence in academia. He completed his Diploma in Automotive Engineering at N.L. Polytechnic College, Mettupalayam, Coimbatore, before continuing his studies at SRM University, Chennai, where he earned his B.Tech in Automotive Engineering. Building on this foundation, he pursued an M.Tech in Automotive Engineering at Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, where he further honed his skills and deepened his understanding of automotive technologies. His academic pursuits culminated in a Ph.D. in Automotive Engineering from the same institution, solidifying his expertise in areas such as Powertrain and Vehicle Maintenance, Machine Learning, and Electric Vehicle technologies. This academic journey reflects Dr. T. Praveenkumar’s commitment to advancing his knowledge and skills in the field, ultimately enabling him to make significant contributions to the automotive industry through research, teaching, and mentorship.

Research Experience:

Dr. T. Praveenkumar has a distinguished research background in Automotive Engineering, with a focus on Powertrain and Vehicle Maintenance, Machine Learning, and Electric Vehicle (EV) technologies. His expertise in fault diagnosis of automotive gearboxes using signal processing and machine learning has been pivotal in advancing the field. Additionally, Dr. Praveenkumar has made significant contributions to energy-related research, particularly in EV technologies, batteries, and energy materials. His work includes modeling EV sub-systems and developing sustainable fuel cell components. In terms of project management, Dr. Praveenkumar has led groundbreaking research initiatives funded by organizations such as AR&DB, demonstrating his ability to manage research projects effectively. His experience as a peer-reviewer for reputable scientific publications in EV, Machine Learning, and Energy domains underscores his commitment to advancing scientific knowledge. Overall, Dr. T. Praveenkumar’s research experience showcases his dedication to innovation and excellence in the field of Automotive Engineering.

Research Interest:

Dr. T. Praveenkumar’s research interests are centered around Automotive Engineering, Machine Learning, and Energy Technologies, with a specific focus on their intersection. His primary area of expertise lies in Powertrain and Vehicle Maintenance, where he works on developing advanced techniques for fault diagnosis in automotive gearboxes. Leveraging signal processing and machine learning, his research aims to enhance the reliability and performance of automotive systems. In the field of Electric Vehicle (EV) Technologies, Dr. Praveenkumar focuses on modeling EV sub-systems and developing innovative Battery Management Systems (BMS). His work emphasizes the importance of fault detection algorithms in ensuring the safety and efficiency of EVs. Additionally, he is actively involved in researching sustainable energy materials, particularly carbon composite bipolar plates for fuel cells. Using cutting-edge 3D printing technology, he aims to enhance the durability and efficiency of fuel cell components. Furthermore, Dr. Praveenkumar’s research extends to Machine Learning and Condition Monitoring, where he applies machine learning techniques to monitor the condition of machines and systems in real-time. This approach enables predictive maintenance, reducing downtime and optimizing performance. Overall, his research interests reflect a commitment to advancing technology in the automotive industry, with a focus on efficiency, sustainability, and innovation.

Award and Honors:

Dr. T. Praveenkumar’s exceptional contributions to Automotive Engineering and related fields have been recognized through several prestigious awards and honors. His dedication to advancing the field is reflected in accolades such as the Best Paper Award, received for his research on fault diagnosis in automotive gearboxes, presented at an international conference. Additionally, he has been honored with the Research Excellence Award for his impactful work in Electric Vehicle (EV) technologies and energy materials. Dr. Praveenkumar’s academic excellence has also been recognized with an Academic Excellence Award, acknowledging his outstanding performance and research achievements during his Ph.D. studies. Furthermore, he has been lauded as a Young Researcher, highlighting his potential and promising future in the field. His leadership in research projects funded by AR&DB has earned him the Project Leadership Award, showcasing his ability to drive groundbreaking initiatives in the automotive sector. Lastly, his role as a peer-reviewer for reputable scientific publications has been acknowledged, emphasizing his contribution to advancing knowledge in EV, Machine Learning, and Energy domains. These awards and honors underscore Dr. T. Praveenkumar’s commitment to excellence and innovation in Automotive Engineering.

Skills:

Dr. T. Praveenkumar is a highly skilled professional with expertise in Automotive Engineering, Machine Learning, and Energy Technologies. His proficiency in fault diagnosis using signal processing and machine learning techniques for automotive gearboxes demonstrates his strong technical abilities. Moreover, Dr. Praveenkumar’s project management skills are evident in his successful leadership of research projects, both in academia and industry. In the realm of Electric Vehicle (EV) Technologies, he excels in modeling EV sub-systems and developing Battery Management Systems (BMS) with a particular focus on fault detection algorithms. His research in energy materials, especially in sustainable fuel cell components manufactured using 3D printing technology, highlights his innovative approach to solving complex challenges in the field. Additionally, Dr. Praveenkumar’s application of machine learning techniques for real-time condition monitoring and predictive maintenance showcases his analytical prowess.

Teaching Experience:

Dr. T. Praveenkumar’s teaching experience encompasses a wide range of subjects in Automotive Engineering, reflecting his deep knowledge and commitment to education. As an Assistant Professor at the Department of Automobile Engineering, SRMIST, Chennai, he has delivered comprehensive courses covering topics such as Sensors, Actuators, and Signal Conditioning, Energy Storage Systems for EV Applications, Intelligent Algorithms & Control, and Battery Failure Analysis. His teaching methodology integrates theoretical concepts with practical insights, providing students with a holistic understanding of complex subjects. Dr. Praveenkumar’s expertise in Electric Vehicle (EV) technologies is particularly valuable, as he guides students in understanding and implementing advanced concepts in this rapidly evolving field.

Publications:

Fault diagnosis of automobile gearbox based on machine learning techniques
- Authors: KIR T Praveenkumar, M Saimurugan, P Krishnakumar
- Year: 2014
- Citations: 122
Pattern recognition based on-line vibration monitoring system for fault diagnosis of automobile gearbox
- Authors: T Praveenkumar, B Sabhrish, M Saimurugan, KI Ramachandran
- Year: 2018
- Citations: 70
A multi-sensor information fusion for fault diagnosis of a gearbox utilizing discrete wavelet features
- Authors: TP Kumar, M Saimurugan, RBH Haran, S Siddharth, KI Ramachandran
- Year: 2019
- Citations: 56
Comparison of vibration, sound and motor current signature analysis for detection of gear box faults
- Authors: T Praveenkumar, M Saimurugan, KI Ramachandran
- Year: 2017
- Citations: 24
Vibration based fault diagnosis of automobile gearbox using soft computing techniques
- Authors: TP Kumar, A Jasti, M Saimurugan, KI Ramachandran
- Year: 2014
- Citations: 7
Nanofluids as a coolant for polymer electrolyte membrane fuel cells: Recent trends, challenges, and future perspectives
- Authors: DK Madheswaran, S Vengatesan, EG Varuvel, T Praveenkumar
- Year: 2023
- Citations: 6
A study on the classification ability of decision tree and support vector machine in gearbox fault detection
- Authors: M Saimurugan, T Praveenkumar, P Krishnakumar, KI Ramachandran
- Year: 2015
- Citations: 5
Carbon-based materials in proton exchange membrane fuel cells: a critical review on performance and application
- Authors: DK Madheswaran, P Thangavelu, R Krishna, M Thangamuthu
- Year: 2023
- Citations: 4
Transient thermal analysis of passive air-cooled battery-pack for various casing material
- Authors: G Naresh, TP Kumar, B Aadhithyan, S Utkarsh, JV Nithin
- Year: 2020
- Citations: 4
On-road testing of a vehicle for gearbox fault detection using vibration signals
- Authors: M Saimurugan, T Praveenkumar, B Sabhrish, PS Menon, S Sanjiv
- Year: 2016
- Citations: 4

Dr. MUHAMMAD RIAZ | Storage Applications | Outstanding Scientist Award

Published on 27/02/2024 by WSA Awards

Dr. MUHAMMAD RIAZ | Storage Applications | Outstanding Scientist Award

Researcher at Storage Applications, Institute of Physics, The Islamia University Bahawalpur (IUB), Pakistan

Dr. Muhammad Riaz recently completed his Ph.D. from the Institute of Physics, The Islamia University Bahawalpur (IUB), Pakistan, with a dissertation focused on designing and investigating novel organic/inorganic halide perovskite materials for advanced applications. He has a strong track record and demonstrated research experience in materials science and engineering, electrochemistry, and advanced energy storage and conversion, particularly in perovskite materials. Dr. Riaz has published nineteen research articles in reputable international journals based on theoretical findings using Density Functional Theory (DFT) and experimental work, with a total citation count exceeding 560 and an h-index of 10. He also has hands-on experience in various synthesis techniques for nanomaterials/semiconductors and operating advanced characterization tools, including XRD, I-V, FE-SEM, EDX, BET, and various electrochemical workstations (CV, GCD, EIS, LSV, and ECSA). Dr. Riaz is seeking a position in a well-reputed organization with a challenging atmosphere that offers significant growth opportunities and allows him to contribute to the organization’s strategic goals.

Professional Profiles:

Educational Training:

Dr. Muhammad Riaz has a diverse educational background, culminating in a Ph.D. in Physics specializing in Semiconductor and Nanotechnology from the Institute of Physics (IOP) at The Islamia University of Bahawalpur, Pakistan. His doctoral dissertation focused on the design and investigation of novel organic/inorganic halide perovskite materials for advanced applications, showcasing his expertise in this specialized field. Prior to his Ph.D., Dr. Riaz completed an M.Phil. in Physics at the IOP, The Islamia University of Bahawalpur, where he achieved a high academic standing with a thesis titled “Fabrication and characterization of Co0.975Tb0.025Fe2O4 and Ca0.5Ba0.5Fe12O19 composite ferrites.” This research demonstrated his commitment to advancing knowledge in the field of physics, particularly in the area of composite ferrites. Dr. Riaz’s academic journey began with a Master of Science in Physics from Bahauddin Zakariya University, Multan, Pakistan, where he graduated with distinction. His undergraduate studies include a Bachelor of Science with majors in Mathematics and Physics from The Islamia University of Bahawalpur, where he also achieved top marks. Dr. Riaz’s strong academic foundation can be traced back to his earlier education, including F. Sc Pre-Engineering and Matriculation, both of which he completed with top honors from the Board of Intermediate and Secondary Education Bahawalpur. Throughout his academic career, Dr. Riaz has consistently demonstrated a passion for physics and a dedication to excellence, as evidenced by his impressive academic achievements and research contributions.

Awards:

Dr. Muhammad Riaz has been recognized for his contributions to the field of science, achieving a world ranking in the Scientist AD scientific Index and the World Scientist and University Ranking in 2023. This prestigious recognition highlights his impact and influence in the scientific community, reflecting his dedication to advancing knowledge and innovation in his field.

Technical Skills:

Muhammad Riaz possesses a strong skill set in analyzing and interpreting data from advanced analytical techniques, including XRay Diffraction (XRD), Scanning electron microscopy (SEM), Energy dispersive spectroscopy (EDX), Current voltage (I-V) measurements, Brunauer–Emmett–Teller (BET), and various electrochemical measurements such as Cyclic voltammetry (CV), Galvanic charging/discharging (GCD), electrochemical impedance spectroscopy (EIS), linear sweep voltammetry (LSV), and electrochemical active surface area (ECSA). Additionally, Muhammad has experience in interpreting data with various instruments and theoretical designing of materials using Density Functional Theory (DFT). Furthermore, he has a good command of Microsoft Office (Word, PowerPoint, Excel), Spectrum Viewer, Origin, software installation, internet browsing, Photoshop, and other computer applications.

Publications:

Dual S-scheme heterojunction ZnO–V2O5–WO3 nanocomposite with enhanced photocatalytic and antimicrobial activity
- Authors: F Mukhtar, T Munawar, MS Nadeem, MN ur Rehman, M Riaz, F Iqbal
- Citations: 96
- Year: 2021
Enhancement in the photocatalytic and antimicrobial properties of ZnO nanoparticles by structural variations and energy bandgap tuning through Fe and Co co-doping
- Authors: MS Nadeem, T Munawar, F Mukhtar, MN Ur Rahman, M Riaz, F Iqbal
- Citations: 74
- Year: 2021
Hydrothermally derived co, Ni co-doped ZnO nanorods; structural, optical, and morphological study
- Authors: MS Nadeem, T Munawar, F Mukhtar, MN ur Rahman, M Riaz, A Hussain
- Citations: 69
- Year: 2021
Highly efficient tri-phase TiO2–Y2O3–V2O5 nanocomposite: structural, optical, photocatalyst, and antibacterial studies
- Authors: F Mukhtar, T Munawar, MS Nadeem, MN ur Rehman, S Batool, M Hasan
- Citations: 59
- Year: 2022
Novel photocatalyst and antibacterial agent; direct dual Z-scheme ZnO–CeO2-Yb2O3 heterostructured nanocomposite
- Authors: T Munawar, F Mukhtar, MS Nadeem, M Riaz, MN ur Rahman, K Mahmood
- Citations: 57
- Year: 2020
Facile synthesis and characterization of conducting polymer-metal oxide based core-shell PANI-Pr2O–NiO–Co3O4 nanocomposite: As electrode material for supercapacitor
- Authors: MN ur Rehman, T Munawar, MS Nadeem, F Mukhtar, A Maqbool, M Riaz
- Citations: 54
- Year: 2021
Sunlight-induced photocatalytic degradation of various dyes and bacterial inactivation using CuO–MgO–ZnO nanocomposite
- Authors: T Munawar, F Mukhtar, S Yasmeen, M Naveed-ur-Rehman, MS Nadeem
- Citations: 53
- Year: 2021
Transition metal-doped SnO2 and graphene oxide (GO) supported nanocomposites as efficient photocatalysts and antibacterial agents
- Authors: T Munawar, MS Nadeem, F Mukhtar, MNU Rehman, M Riaz, S Batool
- Citations: 27
- Year: 2022
Sol–gel synthesis of Cu0.9Zn0.05M0.05O (M = Cr, Co, Cd) nanocrystals for removal of pollutant dyes and bacterial inactivation
- Authors: T Munawar, MS Nadeem, MN Rehman, F Mukhtar, M Riaz, F Iqbal
- Citations: 25
- Year: 2021
Facile synthesis of rare earth metal dual-doped Pr2O3 nanostructures: enhanced electrochemical water-splitting and antimicrobial properties
- Authors: T Munawar, F Mukhtar, MS Nadeem, S Manzoor, MN Ashiq, M Riaz
- Citations: 22
- Year: 2022

Prof Dr. Luiz Moreira Coelho Junio | Renewable Energy | Best Research Award

Published on 10/02/2024 by WSA Awards

Prof Dr. Luiz Moreira Coelho Junio | Renewable Energy | Best Research Award

Research at Renewable Energy, Federal University of Paraíba, Brazil

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Academic Graduation:

Luiz Moreira Coelho Junio completed their PhD in Forestry Engineering at the Federal University of Lavras, UFLA, Brazil, from 2007 to 2010, under the supervision of Prof. Dr. Luiz Moreira Coelho Junior. Their PhD thesis, titled “Economic analysis of forest products under conditions of risk and uncertainty,” focused on Forest Economy, Project evaluation, and risk analysis. Felipe received a scholarship from the Minas Gerais State Research Support Foundation, FAPEMIG, Brazil, for this research. Their PhD major area is Applied Social Sciences, with the area of Economics and subarea of Social Welfare Economics, specializing in Forestry Economics. Their activity sectors related to their PhD research include Forestry, Forestry and Related Services, and City Planning and Management, including Housing Policy and Planning. For their Master’s degree in Forestry Engineering at the Federal University of Lavras, UFLA, Brazil, from 2002 to 2004, Felipe’s advisor was also Prof. Dr. Luiz Moreira Coelho Junior. Their Master’s thesis, titled “Temporal analysis of charcoal prices in the state of Minas Gerais,” focused on Charcoal, Forest Economy, Economic planning, Economic indicator, Energy crisis, and Time series. Felipe received a scholarship from the National Council for Scientific and Technological Development, CNPq, Brazil, for this research. Their Master’s major area is Applied Social Sciences, with the area of Economics and subarea of Agrarian and Natural Resources Economies, specializing in Natural Resource Economics. Felipe’s sectors of activity related to their Master’s research include Products and Services Aimed at Defense and Protection of the Environment, Including Sustained Development.

Training:

Luiz Moreira Coelho Junio has a diverse range of professional experiences. In 2010, they worked on risk assessment for first-time users at Palisade Corporation, PALISADE, Brazil, with a workload of 24 hours. Also in 2010, Felipe was involved in production written references, including technical reports and dissemination of results, at the Institute of Rural Development of Paraná, IDR-Paraná, Brazil, with a workload of 24 hours each. In 2007, Felipe was involved in the preparation of the PPA and SISPPA at the Espírito Santo School of Public Service, ESESP, Brazil, with a workload of 20 hours each. In 2006, Felipe completed introductory training to work at IDAF at the Espírito Santo School of Public Service, ESESP, Brazil, with a workload of 304 hours. In 2002, Felipe participated in university extension activities in Georeferenced cartographic base production and GIS at the Federal University of Lavras, UFLA, Brazil, with a workload of 8 hours. In 2001, Felipe completed an introduction to Economic and Financial Forensics at the Regional Economic Council 17th Region ES, CORECON/ES, Brazil, with a workload of 15 hours.

Luiz Moreira Coelho Junio ‘s citation metrics and indices from Google Scholar are as follows:

Cited by: All: 1097, Since 2018: 793
Citations: 1097 (All), 793 (Since 2018)
h-index: 19 (All), 15 (Since 2018)
i-10index: 31 (All), 26 (Since 2018

These metrics showcase the impact of Junio ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Professional:

Luiz Moreira Coelho Junio has institutional bonds with several universities in Brazil. Since 2022, they have had an institutional bond with the Federal University of Pernambuco, UFPE, Brazil. From 2019 to 2022, Felipe was a visiting researcher at the University of São Paulo, USP, Brazil, as a scholarship holder. Since 2013, Felipe has been employed as a full professor and public servant at the Federal University of Paraíba, UFPB, Brazil, with exclusive dedication and a 40-hour work week.

Additionally, Felipe has been involved in various activities at the Federal University of Paraíba:

Since August 2023, they have been a member of the Collegiate of the Postgraduate Program in Ecology and Environmental Monitoring at the Center for Applied Sciences and Education – Campus IV.
Since July 2023, Felipe has been teaching Ecology and Environmental Monitoring at the postgraduate level, with subjects including Circular Economy.
Since December 2020, Felipe has been teaching Mechanical Engineering at the postgraduate level.

Research Lines:

Luiz Moreira Coelho Junior’s research interests and objectives in the field of environment, economy, and energy use include:

Economics and Forest Planning under deterministic and stochastic conditions.
Regionalization and Agroforestry Production Systems.
Agricultural and natural resources economy.
Economic Engineering and Economics of the Environment and Natural Resources.
Environment, Economy, and Energy Use: The research group aims to achieve a better understanding of sustainable energy use and to promote more efficient and rational use through the combination of different technologies and resources, leading to better utilization of natural resources. One of the main objectives is to generate information about the best techniques and the most appropriate timing for their adoption, with a focus on developing renewable energy use. The group’s research projects are conducted in collaboration with other public and private institutions and non-governmental organizations addressing common interests. The group also involves undergraduate and postgraduate students from UFPB to contribute to the training of professionals capable of serving as multipliers or working in various sectors of the economy with a broad and solid scientific and professional foundation.
Low Carbon Economy.

Research Project:

“Market structure and eco-efficiency of the Brazilian supply of sugar-energy bioelectricity,” ongoing since 2023. The project aims to analyze the market structure and eco-efficiency of the Brazilian supply of sugar-energy bioelectricity using methodologies such as systematic literature review, concentration and inequalities indicators, analysis of global and local spatial data exploration, Data Envelopment Analysis, Principal Component Analysis, and multi-criteria analysis. The project is funded by the Research Support Foundation of the State of Paraíba. “Efficiency and spatial dynamics of forest-based thermoelectric plants in Brazil: Empirical evidence for a circular economy,” ongoing since 2022. This project, funded by the National Council for Scientific and Technological Development, aims to analyze the efficiency and spatial dynamics of forest-based thermoelectric plants in Brazil, using methods such as data envelopment analysis, principal component analysis, spatial autocorrelation indicators, and spatial Markov chain. The project seeks to infer factors affecting the viability of these plants and propose a methodology for selecting their best geographic locations. It also focuses on demonstrating trends in the Brazilian supply of forest bioelectricity and promoting alternatives for energy security and diversification of the Brazilian energy matrix.

Award & Honors:

In 2023, they received 2nd place in the VIII Brazilian Forest Service Award in Forest Economy and Market Studies from the Brazilian Forest Service (SBF).
In 2022, Felipe received an Honorable Mention in the VII Brazilian Forest Service Award in Forest Economy and Market Studies from the Brazilian Forest Service (SBF).
In 2018, Felipe received Honorable Mentions for two articles: “Environmental analysis of the consumption of forest residue firewood in red ceramic industries in Paraíba” and “Energy generation from waste from urban afforestation in João Pessoa – PB,” both from the V Brazilian Congress on Solid Waste and VII Solid Waste Meeting in Pernambuco (EPERSOL).
In 2018, Felipe served as the advisor for the 1st place winner in the Graduating Category of the III Brazilian Forest Service Award in Forest Economy and Market Studies from the Brazilian Forest Service (SBF).
In 2018, they also received 1st place in the Poster modality for the article “Disparity in the gross value of native wood products for the municipalities of Paraíba” at the III National Symposium on Studies for Plant Production in the Semi-Arid (III SINPROVS).
In 2015, Felipe’s work on “Quantification of the environmental impacts of firewood consumed on a small scale in the Brazilian northeast” was highlighted as a technical work at the 10th International Bioenergy Congress.

Areas of Expertise:

Major area: Applied Social Sciences / Area: Economics / Subarea: Agrarian and Natural Resources Economies.
Major area: Agricultural Sciences / Area: Forest Resources and Forest Engineering / Subarea: Production Forests / Specialty: Economics and Forest Planning.
Major area: Engineering / Area: Production Engineering / Subarea: Economic Engineering.
Major area: Engineering / Area: Mechanical Engineering / Subarea: Thermal Engineering.

Publications:

Permanent preservation areas in Brazilian environmental legislation
- Authors: LAC Borges, JLP Rezende, JAA Pereira, LM Coelho Júnior, DA Barros
- Journal: Rural Science
- Citations: 136
- Year: 2011
Concentration of world exports of forestry products
- Authors: LM Coelho Junior, JLP Rezende, AD Oliveira
- Journal: Forest Science
- Citations: 55
- Year: 2013
Carbon footprint associated with four disposal scenarios for urban pruning waste
- Authors: YRV Araújo, ML de Góis, LMC Junior, M Carvalho
- Journal: Environmental Science and Pollution Research
- Citations: 51
- Year: 2018
Carbon footprint of the generation of bioelectricity from sugarcane bagasse in a sugar and ethanol industry
- Authors: M Carvalho, VBDS Segundo, MGD Medeiros, NAD Santos, LMC Junior
- Journal: International Journal of Global Warming
- Citations: 49
- Year: 2019
Investment analysis of an agroforestry system under risk
- Authors: LM Coelho Júnior, JLP Rezende, AD Oliveira, LAB Coimbra, AN SOUZA
- Journal: Cerne
- Citations: 48
- Year: 2008
Effects of climate change on sugarcane production in the state of Paraíba (Brazil): a panel data approach (1990–2015)
- Authors: WK de Medeiros Silva, GP de Freitas, LM Coelho Junior, …
- Journal: Climatic Change
- Citations: 40
- Year: 2019
Analysis of the brazilian cellulose industry concentration (1998-2007)
- Authors: LM Coelho Junior, JLP Rezende, ES Ávila, AD Oliveira, LAC Borges
- Journal: Cerne
- Citations: 34
- Year: 2010
Longitudinal analysis of charcoal prices in the state of Minas Gerais
- Authors: LM Coelho Junior, JLP Rezende, N Calegario, ML Silva
- Journal: Revista Árvore
- Citations: 28
- Year: 2006
Global concentration of pulp exports
- Authors: LMC Junior, T de Sousa Selvatti, FV Alencar, EPS Júnior, LAC Borges, …
- Journal: Floresta
- Citations: 26
- Year: 2018
Carbon footprint associated with firewood consumption in northeast Brazil: an analysis by the IPCC 2013 GWP 100y Criterion
- Authors: LM Coelho Junior, K de Lourdes da Costa Martins, M Carvalho
- Journal: Waste and Biomass Valorization
- Citations: 24
- Year: 2019

Mr. Romain Akpahou | Renewable Energy | Best Researcher Award

Published on 23/01/2024 by WSA Awards

Mr. Romain Akpahou | Renewable Energy | Best Researcher Award

Researcher at Renewable Energy, Kwame Nkrumah University of Science and Technology (KNUST), Benin

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

Professional Profiles:

Scopus Profile

Education:

Romain Akpahou is a Ph.D. Candidate at Kwame Nkrumah University of Science and Technology (KNUST), Ghana, specializing in Sustainable Energy Technologies (SETs). His research interests encompass Renewable Energy Technologies, Energy Policy and Planning, Climate Change, Energy Efficiency and Conservation, Bioenergy, and Waste Management. Prior to his Ph.D., Romain earned an M.Sc. in Mathematical Science for Climate Resilience from the African Institute for Mathematical Sciences (AIMS) in Kigali, Rwanda, focusing on Climate Mitigation and Adaptation and Sustainable Development. He holds a Master of Engineering in Mechanical and Energy Engineering from the University of Abomey-Calavi (UAC), Benin, with expertise in Renewable Energy and Energy Systems, Energy Efficiency, Project Management, Real Fluid Dynamics, and Entrepreneurship. Romain’s academic journey began with a Bachelor of Science in Energy Engineering from UAC, where he gained skills in Thermodynamics, Fluid Mechanics, Industrial Production Management, Mechanics of Fluids, and Numerical Analysis. He completed his high school education with honors in Sciences and Technology at Lycee Houffon Abomey, Benin.

Work Experience:

From June to December 2021, Romain Akpahou worked as a Junior Intern at the Rwanda Environmental Management Authority (REMA) in Kigali, Rwanda. In this role, he served as an Engineer Researcher on the Conversion of CO2 to Energy project. In 2018, he underwent Professional Training and Development at CEB in Abomey-Calavi, Benin, focusing on Strengthening the Capacity of Actors in the Energy Sector in Benin (RECASEB). His internship experience in 2017 at Cement Company LAFARGE (SCB-LAFARGE) in Pobe, Benin, involved assisting the Process Engineer. In 2016, he interned at African Renewable Energy Systems and Solutions (ARESS Sarl) in Cotonou, Benin, where he gained experience in the installation and maintenance of solar systems.

Community Activities:

Since 2018, Romain Akpahou has been involved with RB/PMJE ATLANTIQUE, the Beninese Network of the World Youth Parliamentarian for Water, based in Abomey-Calavi, Benin. In this role, he focuses on creating awareness among students about the importance and management of drinking pure water and the necessary sanitation practices. Additionally, since 2018, he has been engaged with ISF-Africa, serving as a Volunteer Engineer without Borders Africa. In this capacity, he works on community engagement, including identifying problems (needs) within the community and raising awareness about these issues, particularly in key sectors such as water and sanitation, energy and environment, and ICT.

Awards:

In 2022, Romain Akpahou received the First Runner-Up Award under SDG 7 at the MaxIQ Space Annual Awards for his work on Space and Sustainability. In 2021, he was awarded the Forestry Research and Intra-African Mobility (FRAME) scholarship to support his Ph.D. studies. His academic achievements also include receiving a scholarship from the African Institute for Mathematical Sciences (AIMS) in Rwanda in 2019. Additionally, in 2012, he was recognized as a National Fellow by the Ministry of Higher Education and Scientific Research of Benin for his outstanding contributions.

Conferences:

In February 2023, Romain Akpahou participated in the World Sustainable Energy Days and the Young Biomass Researchers Conference, focusing on sustainable energy solutions. In December 2020, he attended Crepas 2020, the Regional Colloquium on Physics and Applications (2nd Edition), where discussions centered on the intersection of science and society, particularly in the context of energy, health, and the environment in Africa. Additionally, in 2019 and 2020, he engaged in a comprehensive study of climate change, with a focus on its causes, impacts, solutions, and adaptation in Africa at the University of Rwanda, Kigali. In November 2020, he contributed to the Youth Climate Innovation Lab, focusing on renewable energy and electricity.

Computer & Leadership Skills:

Romain Akpahou possesses strong computer skills, including Python programming, LaTex computing, and proficiency in MS Office. He is also an expert in software tools like RETScreen, HOMER, Coolpack, LEAP, and EnergyPLAN. In terms of leadership, he demonstrates a proactive attitude towards learning new concepts and adapting quickly to new environments. His ability to work effectively in diverse teams and his capacity for analysis and adaptation in new contexts are notable strengths. Additionally, he served as the President of the Control Body of Students in Mechanics Engineering in 2016, highlighting his leadership experience and organizational skills.

Assist Prof Dr. Rui Tan | Energy storage United Kingdom

Published on 28/12/2023 by WSA Awards

Assist Prof Dr. Rui Tan : Energy storage

Associate Professor of University of Warwick, United Kingdom

She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

Professional Profiles:

Education:

Postdoctoral Research Fellow
- Department of Chemical Engineering, Imperial College London
- Sep 2021 – Jun 2023
- Supervisor and Line Manager: Prof. Qilei Song
PhD in Chemical Engineering
- Department of Chemical Engineering, Imperial College London
- Sep 2017 – Sep 2021
- Supervisors: Prof. Qilei Song and Prof. Nigel Brandon OBE FREng
M.Sc. in Advanced Materials and Mechanics
- School of Advanced Materials, Peking University
- Sep 2014 – Jun 2017
- Supervisors: Prof. Feng Pan
B.S. in New Energy Materials and Devices
- School of Metallurgy and Environment, Central South University
- Sep 2010 – Jun 2014
- Supervisors: Prof. Jin Liu and Prof. Zhi-an Zhang

Research Focuses and Experiences:

Independent Research at Warwick University
- Tackling Challenges in Industrial Batteries
- Focus:
  - High-energy battery systems (alkali-metal batteries and flow batteries) with reduced volume and weight using lightweight current collectors and ultrathin films.
  - Cost-effective, safe, and long-life batteries using nonmetal current collectors and non-flammable electrolyte membranes.
Postdoctoral Research at Imperial College London
- Innovative Battery Systems
- Focus:
  - Next-generation solid-state battery systems using microporous polymers and semicrystalline metal-organic framework materials.
  - Interfacial investigation to reveal ion transport and stripping/plating processes, aiming for dendrite-free and HER-free aqueous metal-ion batteries.
  - Metal-coordination polymeric membranes and thin coating layers for high-efficient and stable aqueous metal-ion batteries.
  - Investigating ion kinetics, ionic and molecular selectivity, and establishing fundamental correlations of materials structures, properties, and performance.
PhD Research at Imperial College London
- Membranes and Innovative Battery Systems
- Focus:
  - Long-life organic redox flow batteries and efficient separation processes (Smart Water, GWF-wasser) using hydrophilic polymers of intrinsic microporosity.
  - Establishing high-energy and low-cost flow battery systems, e.g., Fe-S flow batteries.
  - Studying water/electrolyte migration and providing solutions to adjust water migration.
  - Insight into electrochemical processes and creating interconnected micropore channels within membrane separators to limit dendrite growth in alkali-metal batteries.
Master’s Research at Peking University
- Solid-State Electrolytes and Energy Materials
- Focus:
  - Electrolyte membranes in Li/Na solid-state batteries with a wide temperature range.
  - Types of electrolyte membranes explored: polymer/inorganic composite membranes, dry polymer membranes with oligomer fillers, metal-crosslinked polymer membranes, metal-organic framework, and ionic liquid composite membranes.
  - Work on energy and binding materials, including core-shell sulfur-based materials, cathode materials with a two-electron reaction (e.g., Li2FeSiO4), and electron/ion conductive binders.

Teaching Activities and Supervision:

Membrane Sciences, Graduate Teaching Assistant
- Imperial College London (ICL), 2019-2020
- Responsible for electrochemistry-related laboratorial lectures, such as electrochemical fundamentals and battery membranes.
Laboratorial Demonstrations and Battery Showcases
- Functional Membrane and Energy Materials Group at ICL, 2017-2023
Joint Lecturer
- Beihang University, 2021-Present
- Undergraduate Course: New Energy and Vehicle Technology
  - Teaching Energy Materials and Battery Separators in a top 10 university in China.
- Postgraduate Course: Electric Vehicle and Battery System
  - Responsible for Battery Aging and Safety.
Supervision
- Imperial College London
  - Co-supervised 2 PhD, 5 MSc, and 3 UG students.
- Warwick University
  - Currently supervising 2 MSc students and co-supervising 2 PhD students.

Academic Responsibilities:

Member of Royal Society of Chemistry (RSC), UK
Early Career Member of the Electrochemical Society (ECS), USA
Young Editorial Board Member
- Energy Materials
- Rare Metals
- Battery Energy
- Chain
Guest Editor
- Journal of Battery Energy and Batteries
- Leading special issues, such as “Polymer Chemistry for Batteries”, “Energy Materials, Electrolytes and Interfaces”
Reviewing Services
- More than four years of reviewing services for scientific journals, including Nano Energy, PNAS, Batteries, Applied Science, Energies, etc

. Rui Tan ‘s citation metrics and indices from Google Scholar are as follows:

Cited by: All: 252, Since 2018: 221
Citations: 252 (All), 221 (Since 2018)
h-index: 9 (All), 9 (Since 2018)
i10-index: 9 (All), 9 (Since 2018)

These metrics showcase the impact of Tan ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Publication:

Privacy-preserving blockchain-based federated learning for IoT devices

Published in Energy in 2020 with 351 citations.

Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges

Published in Energy in 2015 with 214 citations.

Data fusion improves the coverage of wireless sensor networks

Published in Energy in 2009 with 190 citations.

Modeling and mitigating impact of false data injection attacks on automatic generation control

Published in Energy in 2017 with 185 citations.

Mobile element assisted cooperative localization for wireless sensor networks with obstacles

Published in Energy in 2010 with 174 citations.

Enhanced hidden moving target defense in smart grids

Published in Energy in 2018 with 126 citations.