Il-Cho Park | Engineering | Best Researcher Award

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Prof. Il-Cho Park | Engineering | Best Researcher Award 

Professor | Mokpo National Maritime University | South Korea

Prof. Il-Cho Park is a highly capable and impactful engineering professional whose academic depth and extensive industry background position him as a strong candidate for the Best Researcher Award. With over five years of professional experience in the shipping industry and a focused academic trajectory in surface treatment engineering for marine materials, he has cultivated a rare blend of practical expertise and research-driven innovation. His career demonstrates steady progression from first-class engineer at Hanjin Shipping Co., Ltd. to senior academic leadership as Professor at Mokpo National Maritime University, where he has served since 2020 while simultaneously holding the role of Chief Engineer. This dual track reflects his commitment to bridging industrial practice with scientific advancement, particularly in areas such as ship engineering, corrosion protection, surface treatment technologies, and marine pollution management. His academic credentials, including a master’s degree and a doctorate from Mokpo National Maritime University between 2013 and 2018, provide a strong foundation for advanced research in marine materials and engineering processes. Prof. Park’s expertise contributes significantly to improving maritime safety, enhancing material durability, and advancing eco-friendly engineering solutions within the marine sector. His career reflects sustained dedication to developing engineering methods that address real-world operational challenges, aligning with global priorities for sustainable and resilient maritime systems. Through active involvement in academia and maritime operations, he consistently demonstrates the ability to apply theoretical knowledge to practical technological improvements and industry standards. His contributions support the training of future marine engineers, promote innovation in surface treatment science, and address pressing environmental concerns linked to marine pollution. Overall, his professional record, specialized skill set, and commitment to continuous improvement highlight his suitability for the Best Researcher Award, underscoring his role as an influential figure advancing engineering excellence in the maritime field.

Profiles: ORCID | ResearchGate

Featured Publications

Park, I. C., & Kim, S. J. (2022). Cavitation erosion characteristics of hard chromium plated diesel engine cylinder liner. Transactions of the IMF.

Park, I. C., & Han, M. S. (2021). Solid particle erosion behavior of Inconel 625 thermal spray coating layers. Journal of the Korean Society of Marine Environment and Safety.

Park, I. C., & Han, M. S. (2021). Analysis of electrochemical corrosion resistance of Inconel 625 thermal spray coated fin tube of economizer. Journal of the Korean Society of Marine Environment and Safety.

Yang, Y. J., Lee, J. H., Park, I. C., & Kim, S. J. (2020). Investigation on electrochemical cathodic protection for cavitation-erosion reduction of anodized aluminum alloy. Journal of Nanoscience and Nanotechnology.

Park, I. C., & Kim, S. J. (2020). Determination of corrosion protection current density requirement of zinc sacrificial anode for corrosion protection of AA5083-H321 in seawater. Applied Surface Science.

Prof. Il-Cho Park’s research advances the durability, safety, and sustainability of marine engineering systems through innovative surface treatment and corrosion-protection technologies. His work supports safer maritime operations, strengthens engineering materials for long-term industrial use, and contributes globally to cleaner, more resilient marine environments.

Vijayan Gopalsamy | Engineering | Best Researcher Award

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Prof. Dr. Vijayan Gopalsamy | Engineering | Best Researcher Award

Professor | Meenakshi Sundararajan Engineering College | India

Dr. G. Vijayan, Professor of Mechanical Engineering at Meenakshi Sundararajan Engineering College, Chennai, is an accomplished researcher and educator with over 26 years of academic and industrial experience, including international teaching exposure in the Sultanate of Oman. Holding a Ph.D. in Renewable Energy Engineering from Anna University with a focus on solar thermal and nanofluid technologies, he has made notable contributions to the advancement of sustainable and solar energy systems. His research portfolio encompasses 14 high-impact publications indexed in SCI(E), Scopus, and Google Scholar, along with book chapters, numerous conference papers, and more than 85 journal article reviews. A recognized editor, reviewer, and editorial board member for multiple prestigious journals such as Renewable Energy, Journal of Thermal Analysis and Calorimetry, and Thermal Science, Dr. Vijayan’s expertise in solar energy optimization and nanofluid applications has earned him multiple honors, including the Research Excellence Award (InSc) and the Young Researcher Award (GARNet). His commitment to professional development is reflected through his coordination and participation in AICTE and Anna University-sponsored Faculty Development Programs and contributions to several book publications on renewable energy and engineering education. As a research supervisor at Anna University, he actively guides and motivates students in pursuing innovative projects that align with national energy goals. His multidisciplinary skills, encompassing renewable energy systems, heat transfer, and nanotechnology, along with his extensive academic leadership and mentoring experience, strongly position him as a deserving candidate for the Best Researcher Award, exemplifying excellence in research, teaching, and societal impact through sustainable technological innovations.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn
Featured Publications

  1. Vijayan, G., & Subramani, J. (2021). Experimental investigation on heat transfer and friction factor characteristics of solar air heater using CuO/water nanofluid. Renewable Energy, 170, 1048–1061.

  2. Vijayan, G., Arunkumar, T., & Kabeel, A. E. (2020). Performance analysis of solar still integrated with hybrid nanofluid-based solar collector. Journal of Thermal Analysis and Calorimetry, 142(5), 2027–2039.

  3. Vijayan, G., & Senthilkumar, P. (2019). Energy and exergy analysis of solar thermal systems using nanofluids: A review. Journal of Cleaner Production, 233, 1332–1348.

  4. Vijayan, G., & Suresh, S. (2018). Experimental studies on thermal conductivity enhancement of Al2O3-water nanofluids for solar thermal applications. Applied Thermal Engineering, 137, 659–669.

  5. Vijayan, G., & Rajasekar, K. (2017). Heat transfer enhancement in flat plate solar collector using nanofluids—A comprehensive review. International Journal of Heat and Mass Transfer, 115, 880–895.

 

Dr. G. Vijayan’s pioneering research in renewable energy, solar thermal systems, and nanofluid technology advances sustainable energy solutions that enhance efficiency and environmental resilience. His work bridges scientific innovation and industrial application, driving global progress toward cleaner energy systems and sustainable engineering development.

Sajjad Khanjani | Engineering | Best Researcher Award

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Mr. Sajjad Khanjani | Engineering | Best Researcher Award

Research Scientist | Kermanshah University of Technology | Iran

Dr. Sajjad Khanjani is an accomplished Advanced Energy Systems Engineer with over three years of experience in energy conversion, renewable energy integration, and system optimization. His expertise spans advanced modeling, simulation, and sustainable energy technologies, including solar, wind, smart energy, storage, and biomass systems. As a researcher and project leader at institutions such as the Daneshmand Research and Development Institute, Iran’s National Elites Foundation, and Kermanshah University of Technology, he has contributed extensively to experimental and analytical studies in desalination, energy harvesting, and thermodynamic optimization. Dr. Khanjani’s publication record is remarkable, featuring multiple high-impact papers in prestigious journals such as Applied Thermal Engineering, Energy, Environmental Progress and Sustainable Energy, and Cleaner Engineering and Technology. His recent works focus on advanced solar distillation, hybrid nanofluid applications, and biohydrogen production, reflecting his commitment to advancing sustainable energy-water nexus solutions. His technical proficiency covers a wide array of tools, including MATLAB, Python, ANSYS Fluent, Transys, Autodesk Inventor, and Aspen Hysys, supporting his deep analytical and design capabilities. Beyond research, he has demonstrated leadership by managing interdisciplinary projects on clean energy and guiding undergraduate research initiatives. Recognized for his achievements, he has received multiple awards from Iran’s National Elites Foundation, ranking among the top M.Sc. students in Mechanical Engineering. His current projects on optimizing hybrid desalination systems and machine learning-based energy optimization highlight his innovative approach toward achieving environmental sustainability and energy efficiency. With his strong academic background, impactful research contributions, and leadership in advanced energy technologies, Dr. Sajjad Khanjani exemplifies the qualities of an outstanding candidate for the Best Researcher Award.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

Khanjani, S., & Co-authors. (2025). Experimental optimization of modified solar distillation system using black horse algorithm and 6E/HT analysis for sustainable freshwater production. Cleaner Engineering and Technology, Elsevier.

Khanjani, S., & Co-authors. (2025). Photo-fermentation: Harnessing solar energy for biohydrogen production. In Book Chapter, Elsevier.

Khanjani, S., & Co-authors. (2025). Performance enhancement of a conventional solar still using a cylindrical solar water heater and Cu/Al2O3 hybrid nanofluid: A sustainable approach to water purification. Water Environment Research.

Khanjani, S., & Co-authors. (2025). Comprehensive analysis of a geothermal-based poly-generation plant to achieve optimal exergy, economic, and environmental performance. Energy.

Khanjani, S., & Co-authors. (2024). Experimental and analytical examinations of a single-glazed solar still desalination with a spray-feeding water system with an artificial neural network. Applied Thermal Engineering.

Jianbin Chen | Engineering | Best Researcher Award

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Mr. Jianbin Chen | Engineering | Best Researcher Award

Chief Technology Officer | Guangdong Titans Intelligent Power Company Ltd | China

Mr. Jianbin Chen is a distinguished engineering professional with more than 11 years of expertise in digital signal design, iterative coding, data storage and communication systems, and the integration of power and wireless communication technologies in the Internet of Things (IoT). He currently serves as the Executive Vice President and R&D Director at Guangdong Titan Intelligent Power Co., Ltd., in addition to holding roles as a Senior Engineer, IEEE member, off-campus master’s mentor at Nanchang Institute of Technology, and Visiting Associate Professor at Guangdong Polytechnic of Science and Technology. Mr. Chen earned his bachelor’s degree from North Central University in 2011 and completed his Ph.D. at the University of Macau in 2021. Throughout his career, he has led and executed numerous high-impact projects, including intelligent air conditioning energy control systems, IoT-based smart street lighting systems, and advanced energy consumption control platforms for major infrastructure. He has overseen several provincial and municipal innovation programs, demonstrating strong leadership in research and technology development. Mr. Chen has secured 30 patents and 28 software copyrights, with many of his innovations being successfully commercialized and widely recognized. His outstanding contributions have earned him multiple prestigious honors such as the Zhuhai Talent Program, the Best Software Technology Innovation Product Awards, and national innovation competition prizes. Academically, he has published influential research papers and a book, with his work featured in SCI-indexed journals, covering topics like power electronics, intelligent control systems, and smart cities. His ability to combine advanced research with industrial applications has significantly contributed to the development of smart energy and IoT technologies in China. Mr. Chen’s visionary leadership, technical excellence, and dedication to innovation position him as a key figure in advancing intelligent infrastructure and sustainable technology solutions for the future.

Profile: ORCID
Featured Publications

  1. Chen, J., Yang, C., Zou, J., & Chen, K. (2025). Multiplier operated controller for CCM boost PFC converter with regulated input impedance and improved power factor. IEEE Access. DOI: 10.1109/ACCESS.2025.3548096

  2. Chen, J., Yang, C., & Zou, J. (2025). Optimization control strategy of wide ZVS range and automatic Euler angle for bi-directional wireless power transfer system by TPS. International Journal of Electrical Power & Energy Systems. DOI: 10.1016/j.ijepes.2025.111133

  3. Chen, J., Yang, C., & Zou, J. (2022). Robust enhanced voltage range control for industrial robot chargers. IEEE Access. DOI: 10.1109/ACCESS.2022.3229688

  4. Chen, J., Yang, C., Tang, S., & Zou, J. (2021). A high power interleaved parallel topology full-bridge LLC converter for off-board charger. IEEE Access. DOI: 10.1109/ACCESS.2021.3130051

  5. Chen, J. (2017). SMT物料种类与标准. 电子工业出版社. ISBN: 978-7-121-31740-8

Xingyu Zhou | Engineering | Best Researcher Award

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Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Naghi Rostami | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award 

Faculty of Electrical and Computer Engineering | University of Tabriz | Iran

Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

  1. Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)

  2. Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)

  3. Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)

  4. Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)

  5. Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)

Kevin Patel | Engineering | Best Industrial Research Award

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Mr. Kevin Patel | Engineering | Best Industrial Research Award

Quality Engineer – Lead | Futaba North America Engineering & Marketing Corp | United States

Kevin Patel is a research-driven quality innovation leader with over a decade of expertise in advanced automotive systems, high-reliability electronics, and cyber-physical manufacturing ecosystems, with a strong focus on AI-enhanced diagnostics, robotic automation, IoT-integrated quality informatics, and adaptive process control for next-generation industrial engineering. He earned his Bachelor of Engineering in Mechanical Engineering from Gujarat Technological University in 2017, followed by a Master of Engineering in Mechanical Engineering from the Illinois Institute of Technology, Chicago, in 2019, where he strengthened his foundations in design, manufacturing, and applied research. Professionally, he has contributed significantly across leading organizations including Futaba North America, Electronic Interconnect, Machined Products Co., and Hindustan Door Oliver, where he led initiatives in AI-driven defect detection, predictive scrap reduction, supplier quality systems, lean manufacturing, and digital process optimization. His research interests lie in the integration of artificial intelligence, IoT, and blockchain for predictive quality, defect prevention, and smart manufacturing ecosystems, with publications in reputed and indexed platforms covering topics such as self-healing production lines, generative quality networks, PCB optimization, and autonomous supplier ecosystems. He possesses strong research and technical skills including CAD and CAE tools (AutoCAD, SolidWorks, CATIA, Abaqus, Ansys), manufacturing quality tools (SPC, CAPA, DoE, DMAIC, Kaizen, GD&T), and advanced industry standards (ISO 9001, IATF 16949, AS9100). His certifications include IATF 16949/ISO 9001 Lead Auditor, Lean Six Sigma Green Belt, SolidWorks CSWA, and Autodesk AutoCAD Professional, reflecting his commitment to continuous professional growth. Kevin has also been recognized for his ability to bridge academic research with industrial application, authoring multiple Scopus and IEEE-indexed papers that demonstrate global relevance. With his multidisciplinary expertise, impactful publications, leadership roles, and future potential in advancing intelligent manufacturing, Kevin Patel stands out as an outstanding candidate for recognition, embodying both academic rigor and industrial innovation.

Profile: ORCID

Featured Publications

  1. Patel, K. (2025). AI-driven defect detection in PCB manufacturing: A computer vision approach using convolutional neural networks. European Journal of Advances in Engineering and Technology.

  2. Patel, K. (2025, July 29). AI+IoT+Blockchain triad for smart traceability in the automotive industry. International Journal of Research and Scientific Innovation.

  3. Patel, K. (2025, June 1). Agentic AI for self-healing production lines: Autonomous root cause analysis & correction. Journal of Information Systems Engineering and Management.

  4. Patel, K. (2025, June 1). Process optimization of multilayer PCB fabrication using statistical design of experiments (DoE). Journal of Information Systems Engineering and Management.

  5. Patel, K. (2025, April 12). Generative quality networks (GQNs): Leveraging GenAI to predict unprecedented defects in automotive manufacturing. International Journal of Science and Research (IJSR).

Saurabh Kumar | Engineering | Best Researcher Award

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Dr. Saurabh Kumar | Engineering | Best Researcher Award

Assistant Professor | IIMT University | India

Dr. Saurabh Kumar is an accomplished researcher in Civil and Environmental Engineering with a focus on water quality, corrosion monitoring, wastewater treatment, and sustainable engineering practices. He is currently serving as a Postdoctoral Researcher at Thammasat University, Thailand (July 2024 – June 2025). Prior to this, he worked as an Assistant Professor in the Department of Civil Engineering at IIMT University, Meerut, Uttar Pradesh, India (June 2023 – June 2024). His academic journey began with a B.Tech in Civil Engineering from Darbhanga College of Engineering, Bihar, under Aryabhatta Knowledge University (2013 – 2017), followed by an M.Tech in Environmental Engineering from the National Institute of Technology Patna (2018 – 2020). He pursued a Ph.D. in Environmental Engineering at NIT Patna, Ministry of Education, Government of India (2020 – 2023), where his research focused on “Monitoring and Modelling of Corrosion Rate in Drinking Water Distribution Network.” Dr. Kumar has a strong research profile, with publications in SCI, Scopus, and IEEE-indexed journals such as Environmental Science and Pollution Research, Journal of Materials Engineering and Performance, and Nature’s Scientific Reports. He has authored a book, contributed to book chapters with reputed publishers, and presented papers at multiple international conferences, including IEEE and Springer platforms. His work reflects the integration of conventional engineering with advanced tools such as machine learning for solving environmental challenges.

Profile: Scopus | ORCID

 Publications

  1. Kumar Saurabh, Singh R., Maurya N.S., Water quality analysis and corrosion potential of the distribution network of Patna, Bihar, India. J. Environ. Eng. Sci., 2022, 17(4), 164–174. (ESCI)

  2. Kumar Saurabh, Singh R., Maurya N.S., Assessment of corrosion potential based on water quality index in the distribution network of urban Patna, Bihar, India. J. Nat. Environ. Pollut. Technol., 2022, 21(5), 2117–2127. (Scopus)

  3. Kumar Saurabh, Singh R., Maurya N.S., Raj V., Monitoring of the corrosion in the pipeline of the distribution network using weight loss method & image processing technique. J. Mater. Eng. Perform., 2022. (SCI)

  4. Kumar Saurabh, Singh R., Maurya N.S., Modelling of corrosion rate in the drinking water distribution network using Design Expert 13 software. Environ. Sci. Pollut. Res., 2023. (SCI)

  5. Rajeev R., Kumar Saurabh, Singh R., Monitoring of traffic noise pollution in urban Patna, Bihar, India. Noise Vib. Worldwide, 2023. (Scopus)

  6. Kumar P., Kumar Saurabh, Kumar M., Chaubey A., Nayak J., Groundwater flow and solute transport modelling: A mathematical analysis. Indian J. Environ. Prot., 2024, 44(3), 257–264. (Scopus)

  7. Shivam H., Sharma D., Bansal T., Pande R., Kumar Saurabh, Weesakul U., In-vessel bioconversion of garden waste into compost with an emphasis on process efficiency and compost quality. Eng. Appl. Sci. Res., 2025, 52(1), 105–111. (Scopus)

João Felipe C L Costa | Engineering | Best Research Article Award

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Prof. João Felipe C L Costa | Engineering | Best Research Article Award

Professor at Federal University of Rio Grande do Sul, Brazil

Dr. João Felipe Costa 🎓 is a distinguished Professor of Mining Engineering at the Federal University of Rio Grande do Sul, Brazil, with over four decades of expertise in geostatistics, mineral exploration, and mine planning ⛏️. He holds a PhD in Geostatistics from the University of Queensland and has published 300+ peer-reviewed papers 📚. A respected mentor, he has guided over 110 theses and dissertations and received multiple teaching accolades, including the prestigious John Cedric Griffiths Teaching Award 🏅. As head of the mineral exploration lab for 30+ years and an active member of leading international mining societies 🌍, Dr. Costa has led significant resource estimation projects globally, especially in phosphate deposit modeling. His career exemplifies academic excellence, innovation, and impactful contributions to mining sciences and education 🔍.

Professional Profile

🎓 Education

Dr. João Felipe Costa earned his BSc (1983) and MSc (1992) in Mining Engineering from the Federal University of Rio Grande do Sul 🇧🇷, where he currently serves as Professor. He advanced his academic journey by earning a PhD in Geostatistics from the University of Queensland, Australia 🇦🇺 in 1997. His education bridges deep technical knowledge with applied innovation, particularly in geological modeling and statistical data analysis 📊. His foundation in mining engineering and specialization in geostatistics has positioned him as an expert in both practical and academic settings. Dr. Costa’s education reflects a strong commitment to continuous learning and excellence in the evolving field of mineral resources and spatial data science 🧠.

💼 Professional Experience

Dr. Costa began his career as a mining engineer at a major coal operation in southern Brazil, where he optimized unit operations using early computer applications in the 1980s 🖥️⛏️. He joined the Federal University of Rio Grande do Sul in 1986 and has served as a Professor in the Mining Engineering Department ever since. His professional journey includes roles as Department Head, research lab coordinator, and consultant on numerous mineral resource evaluation projects 🌐. With over 30 years of teaching and field experience, he has balanced academic leadership with applied industrial insight, making significant contributions to both sectors. His dedication to education, project execution, and resource modeling showcases his deep engagement with both theory and practice ⚙️📘.

🔬 Research Interest

Dr. João Felipe Costa’s core research interests lie in geostatistics, mineral resource estimation, mine planning, and phosphate deposit modeling 📈. He is especially known for developing robust techniques for spatial data analysis, resource classification, and geological uncertainty evaluation. His work extends to a variety of geological settings, including sedimentary and carbonatite phosphate formations in Brazil and Peru 🌍. Passionate about data-driven solutions, his research integrates statistical modeling with software tools to improve decision-making in exploration and mining processes 💡. As a leading voice in mathematical geosciences, Dr. Costa’s interdisciplinary research not only enhances mining efficiency but also supports sustainable resource management 🔎🧭.

🏅 Awards and Honors

Dr. Costa has been honored multiple times throughout his career. Most notably, he received the John Cedric Griffiths Teaching Award in 2014 from the International Association for Mathematical Geosciences, recognizing his excellence in geoscience education 🎖️. He has also been named Distinguished Professor by graduating classes over the past 20 years, reflecting his lasting impact on student learning 👨‍🏫. As an esteemed member of professional societies like AusIMM, IAMG, SME (USA), and SAIMM (South Africa), his global contributions have earned widespread recognition 🌐. His leadership in Brazil’s mineral resources committee further reinforces his influence in shaping mining policy and academic standards 🏆.

🛠️ Research Skills

Dr. Costa possesses advanced research skills in geostatistical modeling, orebody evaluation, spatial data interpretation, and mineral resource classification 🔍. He is proficient in using industry-relevant software for data simulation, variography, and risk assessment 🖥️📊. His methodological rigor is evident in over 300 peer-reviewed publications and advisory roles in complex exploration projects worldwide 🌎. As the head of a leading mine planning lab for three decades, he has cultivated a dynamic research environment integrating computational tools with field data. His skills also include thesis supervision, technical writing, and collaborative research management, making him a versatile and highly capable scientific contributor 🔧📘.

Publications Top Note 📝

Title: Localized conditional simulation to integrate production data in grade control models
Authors: R. L. Silva, J. F. C. L. Costa, D. M. Marques
Year: 2021
Source: Computers & Geosciences
Citation: Computers & Geosciences, Vol. 150, 104722

Title: Uncertainty in the modeling of lateritic nickel ores by multiple indicator kriging
Authors: A. L. F. Duarte, J. F. C. L. Costa
Year: 2016
Source: Ore Geology Reviews
Citation: Ore Geology Reviews 73, 223–233

Title: Conditional simulation of iron ore deposit grades using co-simulation with proportional correction
Authors: J. F. C. L. Costa, R. H. Rubio, D. M. Marques
Year: 2018
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 71(4), 531–538

Title: Application of indicator kriging to define cutoff grades for iron ore
Authors: J. F. C. L. Costa, D. M. Marques
Year: 2013
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 66(1), 37–43

Title: Geostatistical conditional simulation to define grade control strategy for a bauxite mine
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2015
Source: J. South African Institute of Mining and Metallurgy
Citation: J. SAIMM 115(6), 533–540

Title: Geostatistical simulation of mineral grades using multiple-point statistics
Authors: F. G. da Silva, J. F. C. L. Costa
Year: 2016
Source: Computers & Geosciences
Citation: Computers & Geosciences 94, 1–12

Title: Simulation of grade control based on inverse distance weighting
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2018
Source: Revista Escola de Minas
Citation: Rev. Esc. Minas 71(1), 123–129

Title: Geostatistical modeling in lateritic nickel ore: A comparative study between ordinary kriging and indicator kriging
Authors: A. L. F. Duarte, J. F. C. L. Costa
Year: 2015
Source: Natural Resources Research
Citation: Nat. Resour. Res. 24(2), 213–225

Title: Use of stochastic simulation to support mining strategy selection
Authors: D. M. Marques, J. F. C. L. Costa
Year: 2016
Source: Journal of the Southern African Institute of Mining and Metallurgy
Citation: J. SAIMM 116(7), 669–676

Title: Comparison of multivariate conditional simulation techniques for iron ore grade modeling
Authors: R. H. Rubio, J. F. C. L. Costa
Year: 2017
Source: Computers & Geosciences
Citation: Computers & Geosciences 101, 1–12

✅ Conclusion

Dr. João Felipe Costa is a world-class academic and professional in mining engineering and geostatistics, blending education, research, and leadership with remarkable consistency 🌟. His impact spans over 40 years of scholarly excellence, with hundreds of publications, international collaborations, and influential teaching. A mentor, innovator, and geoscience leader, he continues to shape the future of mineral exploration and resource evaluation 🔬🧭. With his global recognition, research depth, and technical command, Dr. Costa stands as a compelling candidate for top honors in scientific research and academic excellence 🎓🏅.

Shima Sadaf | Engineering | Excellence in Research Award

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Assist. Prof. Dr. Shima Sadaf | Engineering | Excellence in Research Award |

Assistant Professor at King Faisal University, Saudi Arabia.

Dr. Shima Sadaf 🎓 is an accomplished Assistant Professor of Electrical Engineering at King Faisal University, with a Ph.D. (Distinction & Gold Medal) from Qatar University. Her impactful research spans digital twins, AI-driven power electronics ⚡, micro/nano-grids, and sustainable energy solutions 🌱. With 31 publications, two patents—including a US patent—and multiple awards 🏆 such as the LEWAS 2024 Academic Achievement Award, she demonstrates innovation and leadership. Her industry experience with Hyundai and ETA enriches her applied research. A dedicated mentor, active reviewer for top IEEE journals 📚, and certified LEED AP BD+C and PMP® professional, Dr. Sadaf combines advanced research with practical solutions for modern power systems. Her work continues to bridge academia, industry, and sustainability, driving real-world impact and inspiring future engineers.

Professional Profile

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📚 Education

Dr. Shima Sadaf holds a Ph.D. in Electrical Engineering 🎓 with Distinction and a Gold Medal from Qatar University (2022), specializing in power electronics and nanogrid applications. She earned her M.Tech with Honors in Power Systems & Drives (2007) and B.Tech in Electrical Engineering (2004) from Aligarh Muslim University, India. Her strong academic foundation blends advanced theory, practical design, and cutting-edge technologies ⚡. Her thesis focused on high-gain DC-DC converters for nanogrids, laying a robust base for sustainable energy research. Committed to continuous learning, she has also achieved professional certifications like LEED AP BD+C and PMP® 🏅, enhancing her expertise in sustainable design and project management. Dr. Sadaf’s educational journey reflects a balance of academic rigor, innovation, and practical relevance.

💼 Professional Experience

Dr. Shima Sadaf’s career integrates academia and industry seamlessly. Currently an Assistant Professor 👩‍🏫 at King Faisal University, she actively develops curricula, mentors students, leads accreditation processes, and designs innovative programs in electrical engineering. Previously, she served as a Graduate Teaching Research Assistant at Qatar University, contributing significantly to teaching and laboratory innovation. Before academia, Dr. Sadaf spent nearly a decade in industry 🏗️ as an Electrical Design Engineer with Hyundai Engineering & Construction and ETA M&E, delivering complex, multimillion-dollar projects like the iconic National Museum of Qatar. Her diverse roles included technical design, project coordination, stakeholder engagement, and mentoring junior engineers. This rich blend of industry and academic experience empowers her to deliver research with strong practical impact and relevance ⚙️.

🔬 Research Interest

Dr. Shima Sadaf’s research focuses on shaping the future of sustainable and intelligent power systems. Her work explores digital twins and AI for converter design 🤖, cybersecurity for power electronics, smart grids, integrated micro/nano-grids, and renewable energy for net-zero goals 🌍. She is especially known for AI-driven design optimization of high-gain DC-DC converters and advanced electric vehicle charging systems 🚗⚡. Her interdisciplinary approach integrates power electronics, machine learning, and grid modernization, addressing urgent global challenges like clean energy, resilient infrastructure, and energy efficiency. With a vision to bridge theory and application, Dr. Sadaf’s research not only advances academic knowledge but also provides scalable solutions for the energy transition, industry innovation, and smarter cities of tomorrow 🔋🏙️.

🏆 Awards and Honors

Dr. Shima Sadaf’s dedication and impact are recognized with prestigious awards 🥇. She received the “Academic Achievement – University Professor Award_LEWAS 2024” for her outstanding contributions to engineering education and research. She also earned the “Best Researcher Award” and “Outstanding Leadership Award” for her influence in innovative research and academic leadership 👏. Her doctoral distinction, recognized with a Gold Medal and a special honor by the Amir of Qatar’s wife, underscores her academic excellence. Additional accolades include the “Women Researcher Award” by ScienceFather and multiple best paper awards at top conferences 📜. These honors reflect not only her scholarly productivity but her commitment to inspiring women in STEM and driving real-world solutions through impactful research.

🧩 Research Skills

Dr. Shima Sadaf combines deep theoretical expertise with practical skills across modern tools and methodologies 🔍. She is proficient in MATLAB/Simulink, PowerWorld Simulator, FPGA with system generator, Arduino IDE, Multisim, and PCB design tools 🖥️. Her robust skill set supports complex modeling, simulation, and implementation of high-gain DC-DC converters, smart grids, and AI-based power systems. She holds two patents, including a US patent, evidencing her innovation in practical technologies ⚡. As a reviewer for IEEE Transactions, IET Power Electronics, and other top journals, she upholds high standards in scientific rigor 📚. Her leadership in workshops and expert talks further highlights her ability to transfer knowledge and inspire emerging researchers and engineers 🌟.

Publications Top Note 📝

Title: ON/OFF Switchable Smart Poly(N‐isopropylacrylamide) Based Hybrid Nanocatalyst for the Response Surface Methodology Based Catalytic Reduction of 2‐Nitroaniline
Authors: M. W. Alam, S. M. Usman, S. Naeem, N. Zaidi, Shima Sadaf, K. Naseem
Year: 2025
Source: ChemistrySelect
Citation: ChemistrySelect 10 (8), Feb. 2025, https://doi.org/10.1002/slct.202404485

Title: Multifunctional ZrO₂/NiO/RGO Ternary Nanocomposites for Degradation of Organic Pollutants, H₂ Production and Antioxidant Property
Authors: S. R. Bavaji, A. Jafar Ahamed, M. W. Alam, G. M. Alsulaim, S. Sadaf
Year: 2025
Source: Journal of Inorganic and Organometallic Polymers and Materials
Citation: Journal of Inorganic and Organometallic Polymers and Materials, Jan. 2025, https://doi.org/10.1007/s10904-025-03630-w

Title: Insight into NaSiCl₃: A Lead-Free Perovskite for the Next Generation Revealed by DFT and SCAPS-1D
Authors: S. Rabhi, et al.
Year: 2025
Source: Physical Chemistry Chemical Physics
Citation: Physical Chemistry Chemical Physics, Jan. 2025, https://doi.org/10.1039/d5cp01747e

Title: Improved Ni₃V₂O₈ Supercapacitive Performance via Urea-Driven Morphological Alteration
Authors: M. W. Alam, et al.
Year: 2025
Source: Ceramics International
Citation: Ceramics International 51 (10), 13430–13442, Jan. 2025, https://doi.org/10.1016/j.ceramint.2025.01.187

Title: Enhanced UV Photodetector Based on WO₃/SnO₂ Heterostructure Nanowire
Authors: M. W. Alam, I. Ao, S. Sadaf, E. R. Singh
Year: 2024
Source: Applied Physics A
Citation: Applied Physics A 131 (1), Dec. 2024, https://doi.org/10.1007/s00339-024-08177-0

Title: Bio-Genic Synthesis of Nitrogen-Doped Carbon Nanodots (NDCNDs) Using Aristolochia bractealata for MO Catalytic Activity and Security Ink
Authors: M. W. Alam, et al.
Year: 2024
Source: Waste and Biomass Valorization
Citation: Waste and Biomass Valorization, Dec. 2024, https://doi.org/10.1007/s12649-024-02859-9

Title: Hydrothermal Synthesis of rGO-Decorated NiMn₂O₄ Nanoneedles for High-Performance Positive Electrode in Asymmetric Supercapacitors
Authors: J. Jothi, M. Parthibavarman, K. L. Meghanathan, B. Souayeh, M. W. Alam, S. Sadaf
Year: 2024
Source: Diamond and Related Materials
Citation: Diamond and Related Materials 150, Nov. 2024, https://doi.org/10.1016/j.diamond.2024.111764

Title: Controlled Synthesis and Electrochemical Characterization of Co₃V₂O₈ Hexagonal Sheets for Energy Storage Applications
Authors: M. A. Yewale, D. K. Shin, M. W. Alam, A. M. Teli, S. Nabi, S. A. Ansari, S. Sadaf, A. A. AlKahtani
Year: 2024
Source: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Citation: Colloids and Surfaces A, Aug. 2024, https://doi.org/10.1016/j.colsurfa.2024.135180

Title: Advancements in Green-Synthesized Transition Metal/Metal-Oxide Nanoparticles for Sustainable Wastewater Treatment
Authors: M. W. Alam, et al.
Year: 2024
Source: Materials Research Express
Citation: Materials Research Express 11 (10), Oct. 2024, https://doi.org/10.1088/2053-1591/ad86a4

Title: Bipolar Resistive Switching Behavior of Bilayer β-Ga₂O₃/WO₃ Thin Film Memristor Device
Authors: M. W. Alam, A. Jamir, B. Longkumer, B. Souayeh, S. Sadaf, B. Moirangthem
Year: 2024
Source: Journal of Alloys and Compounds
Citation: Journal of Alloys and Compounds 1010, Oct. 2024, https://doi.org/10.1016/j.jallcom.2024.177032

✅ Conclusion

In summary, Dr. Shima Sadaf is an outstanding researcher, educator, and innovator who exemplifies research excellence and impactful leadership ✨. Her career unites advanced technical expertise, high-quality publications 📑, patents, industry experience, and dedication to sustainability 🌱. Recognized globally for her contributions and leadership, she empowers the next generation of engineers through active mentorship, curriculum innovation, and outreach. With her strong interdisciplinary focus and commitment to solving real-world energy challenges ⚙️, Dr. Sadaf stands out as a role model in modern power electronics and sustainable energy systems. Her work continues to bridge academia, industry, and society, driving progress towards smarter, greener, and more resilient energy solutions for the future ⚡🌍.