Julio Vena-Oya | Finance | Young Scientist Award

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Dr. Julio Vena-Oya | Finance | Young Scientist Award

Associate Professor, Universidad de Jaén Spain

Julio Vena Oya is a Spanish academic specializing in marketing and business organization. He is a Profesor Contratado Doctor at the Universidad de Jaén, with extensive teaching and research experience in marketing strategy and consumer behavior. He holds a PhD in Economic and Business Sciences from the Universidad de Granada, focusing on determinants of cultural tourism spending. His professional background includes roles in academia and industry, having served as Marketing Director at González de Automoción. Julio has taught various marketing courses at Universidad de Jaén and Universidad de Almería. His research covers consumer behavior, digital marketing, and sector-specific marketing strategies. Proficient in English (C1) and German (A2), he actively contributes to academic research and publications. His work integrates practical insights from industry experience, bridging theory with real-world applications.

Publication Profile

Scopus

🎓 Education

Julio Vena Oya earned his PhD in Economic and Business Sciences (2020) from Universidad de Granada, with a dissertation on determinants of cultural tourism spending (Cum Laude). He completed a Master’s in Marketing and Consumer Behavior (2014) from Universidad de Granada, gaining expertise in market research and strategic marketing. His Bachelor’s degree in Business Administration and Management (Marketing specialization) was obtained from Universidad de Jaén (2013), where he developed a strong foundation in business strategy and consumer behavior. Julio has further enhanced his academic profile through additional training in marketing communication, business organization, and quality management. He possesses C1-level proficiency in English and A2 in German, supporting his international research collaborations. His educational journey reflects a commitment to understanding market dynamics, consumer psychology, and effective business strategies, equipping him with the expertise to contribute significantly to marketing research and education.

💼 Experience

Julio Vena Oya is currently a Profesor Contratado Doctor at Universidad de Jaén (since 2024), previously serving as a Profesor Ayudante Doctor (2023-2024) and PSI researcher and lecturer (2018-2023). He teaches courses including Marketing Management, Sector-Specific Marketing, and Market Research. Before academia, he was Marketing Director at González de Automoción (2018), where he led digital marketing and sales strategies. He also worked as a private tutor at Academia Rafa Vilchez (2016-2018). His academic contributions include lecturing at Universidad de Almería (2020) and extensive research in consumer behavior and digital marketing. With a strong foundation in business strategy, branding, and market analysis, Julio has successfully combined industry experience with academic expertise. His teaching approach integrates practical applications and data-driven marketing insights, making him a key contributor to business and marketing education in Spain.

🏆 Awards & Honors

Julio Vena Oya has received multiple recognitions for his academic excellence and contributions to marketing research. His PhD dissertation earned the prestigious Cum Laude distinction from Universidad de Granada (2020). Throughout his career, he has been involved in high-impact research projects in consumer behavior and tourism marketing. Julio has also been awarded funding for research initiatives related to digital marketing and business strategy, demonstrating his commitment to advancing marketing knowledge. His work in cultural tourism spending analysis has been recognized in academic and industry conferences. Additionally, his expertise in marketing education has led to invitations as a guest speaker and workshop facilitator at various universities and business forums. His dedication to bridging academia and industry continues to earn him recognition within the business and marketing research community.

🔍 Research Focus

Julio Vena Oya’s research focuses on consumer behavior, digital marketing strategies, and cultural tourism economics. His PhD explored the determinants of cultural tourism spending, analyzing consumer decision-making and economic impacts. He specializes in market research methodologies, branding strategies, and sector-specific marketing approaches, applying quantitative and qualitative techniques. His work examines digital transformation in marketing, e-commerce trends, and the role of social media in consumer engagement. Julio is particularly interested in data-driven marketing, using statistical models and behavioral insights to enhance business decision-making. He collaborates on interdisciplinary projects in tourism marketing, sustainability, and business innovation, aiming to optimize marketing effectiveness across industries. His publications contribute to academic discourse on marketing analytics, business intelligence, and customer experience strategies. His research bridges theory with practical applications, helping businesses and policymakers develop effective marketing interventions based on empirical evidence.

Publication Top Notes

  • Analysis of domestic cultural tourism spend by segment in the city of Granada: An observational data approach

    • Authors: J.A. Castañeda, J. Vena-Oya, M.A. Rodríguez-Molina, R. Martínez-Suárez
    • Journal: Tourism Management Perspectives, Vol. 29, pp. 18-30 (2019)
    • Citations: 30

 

  • Meeting public health objectives and supporting the resumption of tourist activity through COVID-19: A triangular perspective

    • Authors: J.A. Castañeda-García, C.M. Sabiote-Ortiz, J. Vena-Oya, D.M. Epstein
    • Journal: Current Issues in Tourism, Vol. 26(10), pp. 1617-1634 (2023)
    • Citations: 18

 

  • Importance–performance analysis of olive oil tourism activities: Differences between national and international tourists

    • Authors: J. Vena-Oya, J.A. Parrilla-González
    • Journal: Journal of Vacation Marketing, Vol. 30(3), pp. 423-438 (2024)
    • Citations: 15

 

  • Forecasting a post-COVID-19 economic crisis using fuzzy cognitive maps: A Spanish tourism-sector perspective

    • Authors: J. Vena-Oya, J.A. Castañeda-García, M.Á. Rodríguez-Molina
    • Journal: Current Issues in Tourism, Vol. 25(13), pp. 2048-2062 (2022)
    • Citations: 15

 

  • Addressing regional tourism policy: Tools for sustainable destination management

    • Authors: J. Barreal, J. Vena-Oya, P. Mercadé-Melé
    • Journal: Journal of Vacation Marketing, Vol. 30(4), pp. 856-873 (2024)
    • Citations: 8

 

  • The Financial/Accounting Impact of FFP on Participating in European Competitions: An Analysis of the Spanish League

    • Authors: A. Calahorro-López, M. Ratkai, J. Vena-Oya
    • Journal: International Journal of Financial Studies, Vol. 10(3), Article 81 (2022)
    • Citations: 8

 

  • Promoting vs. protecting: Where should the money from tourists visiting my city go? The effect of environmental attitude

    • Authors: J. Vena-Oya, C. Ortega-Rodríguez, E. Garrido-Castro, et al.
    • Journal: Journal of Ecotourism (2024)
    • Citations: 4

 

  • Determinants of the likelihood of tourist spending in cultural micro-destinations: Type, timing, and distance of the activity as predictors

    • Authors: J. Vena-Oya, J.A. Castañeda-García, M.Á. Rodríguez-Molina
    • Journal: SAGE Open, Vol. 12(3), Article 21582440221125422 (2022)
    • Citations: 4

 

  • El interés por los nuevos métodos de enseñanza. Análisis a través de Google Trends en España

    • Authors: D.F. Uclés, J.V. Oya
    • Journal: edunovatic2021, pp. 31 (2021)
    • Citations: 4

 

  • Determinantes del gasto efectivo en el turismo cultural

    • Author: J. Vena Oya
    • Institution: Universidad de Granada (2020)
    • Citations: 4

 

  • The influence of the UNESCO WHS recognition on entrepreneurship in cultural microdestinations

    • Authors: A.B.M. Fernández, J.V. Oya
    • Journal: Journal of Tourism and Heritage Research, Vol. 3(1), pp. 411-426 (2020)
    • Citations: 3

 

  • Análisis de la secuencia de visita a Granada de los turistas: Diferencias por origen y grado de experiencia con el destino

    • Authors: R.M. Suárez, J.A.C. García, M.Á.R. Molina, J.V. Oya
    • Journal: Studies of Applied Economics, Vol. 37(1), pp. 105-121 (2019)
    • Citations: 3

 

  • How to achieve economic development through tourism? Different ways for different economies: A new approach through fuzzy set qualitative comparative analysis

    • Authors: J.L. Durán-Román, J. Vena-Oya, J.M. Núñez-Tabales, F.J. Rey-Carmona
    • Journal: Tourism Economics, Vol. 31(1), pp. 104-123 (2025)
    • Citations: 2

 

Mykola Malashevsky | Management | Best Researcher Award

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Assoc. Prof. Dr. Mykola Malashevsky | Management | Best Researcher Award

Leading Research Scientist, Land Management Institute, National Academy of Agrarian Sciences of Ukraine, Ukraine 📜

Dr. Mykola Malashevskyi is an esteemed PhD (Candidate of Science) in Technical Sciences and Associate Professor, currently serving as a Leading Research Scientist at the National Academy of Agrarian Sciences of Ukraine. With a strong academic and professional background in land management, geodesy, and cadastre, he has been actively involved in national and international research projects. Since 2023, he has been a member of the Scientific Council of the Ministry of Education and Science of Ukraine in Earth Sciences research direction. His contributions extend to land valuation, geospatial data infrastructure, and sustainable land management.

Profile

Scopus

Google Scholar

ORCID

Education 🎓

Dr. Malashevskyi pursued his PhD in Geodesy, Cartography, and Photogrammetry in 2011 from Kyiv National University of Construction and Architecture. He holds a Bachelor’s and Master’s degree in Land Management and Cadastre (2005) from the same institution. His academic excellence has been recognized through numerous leadership positions, including serving as Head of the Land Management, Cadastre, and Geoinformatics Chair.

Professional Experience 🏛️

With over 20 years of experience, Dr. Malashevskyi has held significant roles in academia and research. Since 2019, he has been a Leading Research Scientist at the Institute of Land Management, NAAS of Ukraine. He was previously a Professor at Sumy National Agrarian University (2017-2019) and a member of the Scientific and Technical Council of Kyiv Institute of Land Relations (2013-2019). His administrative expertise includes leading the Research and Development Centre for Sustainable Land Management.

Research Interests 🔍

Dr. Malashevskyi’s research is deeply rooted in land consolidation and reform, aiming to enhance land use efficiency and sustainability. His work in geospatial data infrastructure focuses on integrating cutting-edge technologies to improve land administration and decision-making processes. He is also dedicated to sustainable land management, developing strategies that balance environmental conservation with economic growth. His expertise in land cadastre and territorial planning plays a crucial role in optimizing land resource allocation and governance . Additionally, he actively explores remote sensing and GIS applications, leveraging satellite imagery and digital mapping to advance land monitoring and spatial analysis

Dr. Malashevskyi has received multiple recognitions for his contributions to land management and geodesy. He has been honored for his scientific contributions, policy advisory roles, and leadership in land reform projects. His expertise has made him a valued reviewer for top scientific journals, including Land, Sustainability, Agriculture, and Geodesy & Cartography (SCOPUS & Web of Science indexed).

Publications & Citations 📚

Dr. Malashevskyi has authored numerous Scopus and Web of Science-indexed articles, contributing significantly to land management research. His most notable publications include:

1️⃣ Title: Advanced Land Consolidation Strategies in Ukraine
📖 Journal: Land Use Policy | 📅 Year: 2023 | 🔍 Cited by: 35

2️⃣ Title: Geospatial Data Infrastructure for Sustainable Land Management
📖 Journal: Sustainability | 📅 Year: 2022 | 🔍 Cited by: 50

3️⃣ Title: Remote Sensing in Agricultural Land Monitoring
📖 Journal: Agriculture | 📅 Year: 2021 | 🔍 Cited by: 42

4️⃣ Title: Innovative Land Cadastre Techniques
📖 Journal: Geodesy and Cartography | 📅 Year: 2020 | 🔍 Cited by: 30

Conclusion

Highly Suitable for the Best Researcher Award 🎖
Mykola Malashevskyi is an outstanding researcher with significant contributions to land management, geodesy, and spatial data sciences. His leadership in national research projects, strong publication record, and reviewer roles make him a strong contender for the award. Enhancing global collaborations and technological innovations could further solidify his candidacy.

 

Pedro Pitrez | Engineering | Best Researcher Award

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Assist. Prof. Dr. Pedro Pitrez | Engineering | Best Researcher Award

Assist. Prof. Dr. Pedro Pitrez  at Assistente Convidado – FEUP , Portugal

Pedro Pitrez is a Mechanical Engineer specializing in thermal energy and internal combustion engine systems. He holds a Master’s degree and is currently completing his Ph.D. at FEUP, focusing on energy systems and mechanical engineering. Pitrez has extensive experience in both academia and industry, with a passion for research, development, and teaching. He has worked as a lecturer at UTAD and FEUP, teaching subjects such as Applied Thermodynamics and Mechanics. His professional journey includes working at INEGI, where he developed a machine for cork painting, and at EDP Geração, managing operations for hydroelectric power plants. Known for his technical expertise, Pitrez combines his engineering knowledge with a drive for innovation, contributing to various research projects, academic articles, and conferences.

Publication Profile

Scopus

🎓 Education

Pedro Pitrez’s educational background includes a Bachelor’s degree in Mechanical Engineering from UTAD, followed by a Master’s degree in Mechanical Engineering from FEUP. His Ph.D. work at FEUP focuses on the areas of energy systems and combustion. Pitrez has excelled in his academic career, achieving strong results with a Master’s thesis on preparing a Porsche 911 internal combustion engine for competition. His academic training also includes specialized research in thermal energy, reflected in his current work and studies. Furthermore, he has contributed significantly to educational platforms, having taught courses such as Applied Thermodynamics II and Mechanics III. His current research at FEUP and INEGI is an embodiment of his continuous pursuit of knowledge and advancement in the field of mechanical and energy engineering.

💼 Experience

Pedro Pitrez has an extensive professional background in both academia and industry. From March 2020 to August 2022, he worked as a researcher at INEGI, where he was involved in the development of industrial machines, including a machine for cork painting. He was responsible for designing the machine’s structure and transport systems, as well as creating the control software. Additionally, Pitrez gained valuable experience in teaching at FEUP, offering courses in thermodynamics and mechanics. He has also worked at Amorim Cork Composites, where he provided academic support, including practical classes and student supervision. His professional career also includes working at EDP Geração, where he currently holds a position as an engineer in charge of planning and operations for hydroelectric power plants. Pitrez’s broad experience and academic contributions make him a well-rounded professional in mechanical engineering and energy systems.

🏆 Awards & Honors

Pedro Pitrez has received numerous accolades for his contributions to research and academia. Notably, he won the Best Paper Award at the International Conference on Technologies and Materials for Renewable Energy, Environment, and Sustainability (TMREES23) in 2023. His research work on plasma gasification and energy systems optimization has earned him recognition in both academic and professional circles. Additionally, Pitrez has presented at several high-profile conferences, such as the VII Jornadas de Engenharia Mecânica UTAD and the International Conference on Renewable Energy and Sustainability (TMREES23). His academic journey has been marked by consistent excellence, having also contributed to published articles in reputable journals such as Energy Reports and ENCIT 2020. These awards and honors reflect his impact and dedication to advancing research in mechanical engineering and sustainable energy solutions.

🔍 Research Focus

Pedro Pitrez’s research primarily focuses on energy systems, combustion processes, and sustainable energy technologies. His current work includes investigating plasma gasification for hazardous waste treatment and optimizing energy conversion processes. He has developed expertise in the numerical analysis of energy systems and the efficient production of syngas. His research is highly interdisciplinary, bridging mechanical engineering with environmental sustainability. Pitrez is particularly focused on applying energy optimization to industrial processes, as evidenced by his work on internal combustion engines and hydroelectric power plants. Additionally, his ongoing Ph.D. research explores the potential of alternative fuels in the transportation and energy sectors. His work contributes to the development of cleaner, more efficient energy systems, with practical applications in industries such as automotive, power generation, and environmental technologies. Pitrez’s dedication to advancing energy solutions aligns with his long-term vision of sustainable and efficient mechanical systems.

Publication Top Notes

  • Energy Recovery from Infectious Hospital Waste and Its Safe Neutralization

    • Authors: P. Pitrez, Pedro; E.L.M. Monteiro, Eliseu L.M.; A.I. Rouboa, Abel Ilah
    • Citations: 0 (as it is a forthcoming publication)
    • Year: 2025
    • Journal: International Journal of Hydrogen Energy

  • Numerical Analysis of Plasma Gasification of Hazardous Waste Using Aspen Plus

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: 2023
    • Journal: Energy Reports
    • Volume: 9, Pages 418-426

  • Optimization of Plasma Gasification System for Treatment of COVID-19 Hazardous Waste for Valorization of LHV and H2 Composition

    • Authors: Not provided in the reference.
    • Citations: 0
    • Year: In Review (no specific year yet)
    • Journal: Status: In Review

 

Sharif Ahmed | Biological Sciences | Best Researcher Award

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Dr. Sharif Ahmed | Biological Sciences | Best Researcher Award

Post-doctoral Fellow, International Rice Research Institute Bangladesh

Dr. Sharif Ahmed is a Postdoctoral Fellow in Agrifood Systems at the International Rice Research Institute (IRRI) with over 13 years of expertise in integrated crop and resource management, climate-adaptive research, weed ecology, and rice mechanization. He has authored 90+ peer-reviewed publications, books, and technical reports and reviewed 350+ journal articles. His work spans agronomic biofortification, value chains, and sustainable intensification of rice-based cropping systems. Before IRRI, he served as a Senior Specialist-Agronomy Extension and Specialist-Agricultural Research and Development at IRRI Bangladesh. He has led projects on climate-smart rice production, mechanization, and integrated weed management. His doctoral research at Bangladesh Agricultural University and IRRI focused on dry-seeded rice and weed management. He has extensive experience collaborating with government agencies, NGOs, and farmer organizations to implement and scale sustainable agricultural technologies in South Asia.

Publication Profile

Scopus

🎓 Education

Ph.D. in Agronomy (2017) – Bangladesh Agricultural University, Bangladesh & IRRI, Philippines. Dissertation: Crop and weed management strategies for dry-seeded rice on the High Ganges River Floodplains. M.S. in Agronomy (2011) – Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh & IRRI, Philippines. Dissertation: Growth, productivity, and profitability of rice under integrated crop and resource management. B.S. in Agriculture (2008) – Bangabandhu Sheikh Mujibur Rahman Agricultural University, Bangladesh.

💼 Experience

Postdoctoral Fellow-Agrifood Systems (2023-Present) – IRRI, Bangladesh. Leads agronomy research, climate-smart technologies, and stakeholder engagement. Senior Specialist-Agronomy Extension (2020-2023) – IRRI, Bangladesh. Led research on crop diversification, weed management, and value chain development. Specialist-Agricultural Research & Development (2016-2020) – IRRI, Bangladesh. Conducted trials on rice mechanization, premium quality rice, and integrated weed management. Trainer-Consultant (2015-2016) – USAID-AIP Project. Provided training on good agronomic practices, soil fertility, and pesticide safety. Ph.D. Research Scholar (2011-2014) – IRRI, Philippines. Conducted research on dry-seeded rice and weed ecology. Research Assistant (2011) – Bangladesh Government Project on herbicide evaluation.

🏆 Awards & Honors

IRRI Excellence Award for Agronomy Research (2022). Best Paper Award, International Rice Conference (2021). Outstanding Researcher Award, IRRI Bangladesh (2020). Fellowship for Ph.D. Research at IRRI, Philippines (2011-2014). Best Agronomy Thesis Award (2017). Training Grant on Precision Agriculture from CGIAR (2019). Reviewer Recognition Award from multiple peer-reviewed journals (2023). IRRI Travel Grant for International Conference (2022)

🔍 Research Focus

Dr. Ahmed’s research focuses on climate-adaptive rice production, integrated crop and resource management, sustainable intensification, and weed ecology. He works on developing agronomic technologies for increasing rice productivity, biofortification, and value chains for high-value rice. His expertise includes dry-seeded rice (DSR), mechanization, intercropping, and integrated weed management (IWM). He also explores the impact of climate change on cropping systems and strategies for resilience. His research integrates agronomy with human nutrition and economic sustainability to improve food security.

Publication Top Notes

  • Dry direct-seeded and broadcast rice: A profitable and climate-smart alternative to puddled transplanted aus rice in Bangladesh

    • Authors: S.I. Ahmed, Sharif I., Virender Kumar, Asad Uz Zaman, Jagadish Timsina, Timothy J. Krupnik
    • Journal: Field Crops Research (2025)
    • Open Access

 

  • Assessing the impacts of future climate extremes on boro rice cultivation in the northeastern Haor region of Bangladesh: insights from CMIP6 multi-model ensemble projections

    • Authors: Mohammad Kamruzzaman, H.M. Touhidul Islam, Md Saidur Rahman, Lam Son Phan Tran, A.M.K.Z. Hossain
    • Journal: Theoretical and Applied Climatology (2025)

 

  • Adverse effects of heat shock in rice (Oryza sativa L.) and approaches to mitigate it for sustainable rice production under the changing climate: A comprehensive review

    • Authors: Mohammad Mobarak Hossain, Sharif I. Ahmed, Mohammad Saiful Alam, Akbar K.M.Z. Hossain
    • Journal: Heliyon (2024)
    • Open Access

 

  • Projections of future bioclimatic indicators using bias-corrected CMIP6 models: a case study in a tropical monsoon region

    • Authors: Mohammad Kamruzzaman, Md Shariot-Ullah, Rafiqul M. Islam, Abdul Muktadir, Shamsuddin Shahid
    • Journal: Environmental Science and Pollution Research (2024)

 

  • Adoption Pattern of Direct-Seeded Rice Systems in Three South Asian Countries during COVID-19 and Thereafter

    • Authors: Simerjeet Kaur, Sharif I. Ahmed, Tahir Hussain Awan, Gulshan Mahajan, Bhagirath Singh Chauhan
    • Journal: Crops (2024)
    • Open Access

 

  • Nitrogen Dynamics from Conventional Organic Manures as Influenced by Different Temperature Regimes in Subtropical Conditions

    • Authors: Abu Taher Mohammad Anwarul Islam Mondol, Md Akhter Hossain Chowdhury, Sharif I. Ahmed, Mohammad Khairul Alam
    • Journal: Nitrogen (Switzerland) (2024)
    • Open Access

 

 

lazhar manai | Artificial Intelligence | Best Researcher Award

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Assoc. Prof. Dr. lazhar manai | Artificial Intelligence | Best Researcher Award

Director, Higher Institute Of Information and communication Technologies Of borj Cedria, Tunisia🏆

Dr. Lazhar Manaï is an Associate Professor at ISTIC Borj Cedria, specializing in power electronics, multilevel inverters, and machine learning applications. He is a key researcher at the Laboratory of Robotics, Computer Science, and Complex Systems (LR-RISC-ENIT) at the University of Tunis El Manar. With a strong academic and professional background, he has made significant contributions to optimization algorithms for multilevel converters and artificial intelligence applications in electrical engineering. Dr. Manaï has held administrative roles at ISTIC, including Director and Director of Studies. His research is widely published in leading journals, and he has supervised numerous PhD and Master’s theses.

Profile

Scopus

Education 🎓

Dr. Lazhar Manaï holds a Habilitation in Electrical Engineering (2020) from the National School of Engineers of Tunis (ENIT), where he focused on floating capacitor balancing in multilevel inverters. He earned his PhD in Electrical Engineering (2008) from ENIT, conducting research on high-power induction machine supply via multilevel converters. His Master’s Degree (D.E.A) in Electrical Systems (2003) and Specialized Higher Studies Certificate in Electrical Engineering were both obtained from ENIT and ENSIT, respectively. He also holds a Bachelor’s Degree in Electrical Engineering (1997) from ENSIT.

Professional Experience 💼

Dr. Manaï has been an Associate Professor at ISTIC Borj Cedria since 2014, following prior positions at ISSAT Mateur, ISSAT Gabes, and ISET Charguia. He also served as an Assistant Technologist at ISET Charguia and a Technical Education Teacher. His administrative roles include serving as the Director of ISTIC Borj Cedria (2020-2024, reappointed for 2024-2027) and Director of Studies and Internships (2016-2020). Additionally, he has contributed to national evaluation committees, university selection panels, and applied license program developments.

Research Interests 🔬

Dr. Manaï’s research focuses on multilevel power electronics converters, capacitor voltage balancing, machine learning in power electronics, and optimization techniques. His work includes high- and low-frequency switching control strategies, active filtering, and intelligent fault diagnosis in electrical systems. He has played a pivotal role in applying deep learning for electric vehicle drive systems and smart energy buildings.

Awards & Achievements 🏅

Dr. Manaï has been recognized for his contributions to power electronics and renewable energy applications. He holds a patent on a Power Generation System Using Kinetic Wave Energy, granted by INNORPI in 2017. His leadership in research has earned him participation in multiple national and European scientific projects, including SMARTBAT-E+ and EL-Peacetolero.

Publications 📚

Advanced health state intelligent diagnosis of lithium-ion batteries based on CNN-WNN-WBiLSTM model with attention mechanism (2025) – Automatika

Optimization-based open-loop selective harmonic elimination pulse width modulation for multilevel inverter flying capacitor voltage balance considering load power factor variation (2023) – Journal of Systems and Control Engineering

Optimization-based selective harmonic elimination for capacitor voltages balancing in multilevel inverters considering load power factor (2020) – Electrical Engineering

Newton‐Raphson algorithm–based modified SHE for CHB multilevel inverter control considering capacitor voltage balancing and power factor variation (2019) – International Transactions on Electrical Energy Systems

Control of a four-level inverter by a programmed matrix PWM based on EPROMS (2009) – International Review of Electrical Engineering

Filtrage actif shunt des réseaux électriques moyenne tension avec des convertisseurs de puissance multi-niveaux (2005) – European Journal of Electrical Engineering

Conclusion

Dr. Lazhar Manaï’s outstanding academic, research, and leadership credentials make him a strong candidate for the Best Researcher Award. His contributions in multilevel power electronics, AI-driven control, and national/international projects demonstrate his significant impact in the field. Strengthening industry collaborations and interdisciplinary research could further elevate his profile.

 

Varun Ravi | Orthopedic Surgery | Best Researcher Award

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Mr. Varun Ravi | Orthopedic Surgery | Best Researcher Award

Mr. Varun Ravi, UT Southwestern Medical Center, United States

Varun Ravi is a medical student at UT Southwestern Medical School (Class of 2025) with a background in finance from The University of Texas at Austin (BBA, Honors). His research focuses on orthopedic surgery, particularly in total hip arthroplasty, ACL pathology, pediatric scoliosis, and musculoskeletal radiology. He has co-authored multiple peer-reviewed publications and presented at prestigious conferences, including MSTS, WOA, and EPOSNA. Varun is actively involved in teaching, leadership, and community service, serving as President of UTSW Habitat for Humanity and an executive board member of Hoops 4 Health. He also contributes to student-run free clinics and financial literacy programs. 🎼🏀🔬

Publication Profile

Orcid

🎓 Education & Academic Achievements

Varun Ravi is currently pursuing his Doctor of Medicine (MD) at The University of Texas Southwestern Medical School (2021–Present), with an anticipated graduation in May 2025. He successfully passed the USMLE Step 1 🏥. Before medical school, he earned a Bachelor of Business Administration (BBA) in Finance from The University of Texas at Austin (2017–2021), graduating with Honors 🎖️ and a GPA of 3.84. Alongside his major, he pursued a Minor in History and a Pre-Health Professions Certificate 📜. His diverse academic background integrates finance and medicine, providing a unique perspective in healthcare management and patient care.

 

🏥 Research Experience & Contributions

Varun Ravi has been actively engaged in orthopedic and radiology research at UT Southwestern Medical Center and Scottish Rite for Children. His work includes analyzing complication rates and economic impacts of total hip arthroplasty (THA) 🦴, investigating tibial slope measurements and ACL pathology 🏃‍♂️, and assessing MRI techniques for foot and ankle infections 🦶. He has also studied the effects of socioeconomic status on scoliosis outcomes 🏥 and compared pilon fracture outcomes in diabetic and non-diabetic patients. His contributions include manuscript writing, data collection, and statistical analysis, providing valuable insights into orthopedic and musculoskeletal imaging research. 📊

 

🎓 Teaching & Work Experience

Varun Ravi has gained valuable experience in both healthcare consulting and academic tutoring. As a Summer Business Analyst at Davita 🏥, he worked on improving access to care at skilled nursing facilities (SNF) dialysis clinics, focusing on elderly patients and those with comorbidities. Additionally, he served as a Tutor at the Sanger Learning Center 📚, providing one-on-one and group tutoring in chemistry, accounting, and organic chemistry. His ability to simplify complex concepts and support students academically reflects his strong analytical and mentorship skills, contributing to both healthcare operations and education. 🏆

 

🏆 Honors & Awards

Varun Ravi has been recognized for his academic excellence and leadership through multiple prestigious scholarships and awards. He received the Jon and Rebecca Brumley Endowed Presidential Scholarship 🎓 in May 2020 and the Elizabeth Lanham Endowed Presidential Scholarship in May 2019, highlighting his outstanding achievements. Additionally, he was awarded the Johnson & Johnson Merit Scholarship 🏅 in December 2017 for his academic and extracurricular contributions. His dedication to leadership and service was also recognized when he earned the Eagle Scout distinction 🦅 from the Boy Scouts of America in December 2015, showcasing his commitment to community service and personal growth.

 

🔬 Research Focus

Varun Ravi’s research primarily focuses on orthopedic surgery 🦴 and musculoskeletal radiology 🏥. His work on total hip arthroplasty (THA) vs. oncologic proximal femur replacement explores the economic impact and complication rates of these procedures, contributing to healthcare cost analysis 💰. Additionally, his research on MR Neurography of Peripheral Trigeminal Nerves examines the correlation between Sunderland grades and neurosensory testing, aiding in nerve injury diagnostics 🧠. His contributions span orthopedics, radiology, and surgical outcomes, emphasizing cost-effectiveness, imaging techniques, and patient care improvements 📊.

 

Publication Top Notes

 

 

 

Sharif Shabir | Mathematics | Young Scientist Award

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Mr. Sharif Shabir | Mathematics | Young Scientist Award

 Kalinga university India

Sharif Shabir, a dedicated mathematics professional from Anantnag, J&K, India, is pursuing a Master’s in Mathematics at Kalinga University. With a strong foundation from the University of Kashmir, he has showcased excellence in mathematical modeling and analysis. His contributions extend to research, authorship, and innovation, with a passion for advancing mathematical applications in economics and science. He has received multiple prestigious awards recognizing his academic and research achievements. His work reflects a commitment to mathematical excellence and practical application, establishing him as an emerging figure in the field.

Publication Profile

Orcid

🎓 Education

Sharif Shabir is currently pursuing a Master’s Degree in Mathematics at Kalinga University, Raipur, Chhattisgarh (2024-ongoing). He completed his Bachelor’s Degree in Mathematics from the University of Kashmir, Srinagar, J&K, India (2019-2023). His education has provided him with a strong analytical foundation, equipping him with expertise in mathematical modeling, linear algebra, combinatorics, and applied mathematics. His academic journey has been marked by a keen interest in interdisciplinary applications of mathematics, particularly in economics and computational fields. His continuous pursuit of knowledge is reflected in his active participation in national and international mathematical competitions and research projects.

💼 Experience

Sharif Shabir has experience in both theoretical and applied mathematics. He has undertaken projects in Natural Language Processing (NLP), such as building a Next Word Predictor and an AI-based student grade prediction application. His research spans combinatorics, algebra, and mathematical economics, contributing to innovative solutions in real-world problem-solving. He has authored books covering diverse mathematical topics and participated in workshops on AI, sustainable development, and strategic planning. His expertise in MATLAB, Mathematica, and R enables him to engage in complex data analysis and modeling. Through academic and extracurricular activities, he continuously refines his skills in analytical reasoning and problem-solving.

🏆 Awards & Honors

Sharif Shabir has received multiple prestigious awards, including the National Excellence Award by Worthy Wellness Foundation (2023) for contributions to Mathematics and Astronomy. He was honored with the Rashtra Prerna Award by World Of Book Star Records (2023) and the Young Warrior Award from UNICEF & Yuwaan India for his leadership and innovation. His nomination for the Best Author of the Year 2024 Award for “Mathematics Modeling in Economics” highlights his academic contributions. These accolades reflect his dedication to mathematical research and innovation, marking him as a promising talent in the field.

🔍 Research Focus

Sharif Shabir’s research focuses on mathematical modeling, combinatorics, and applied mathematics in economics. His work explores Lie Algebra, abstract and linear algebra, and computational mathematics, providing practical insights into economic forecasting and optimization. His interest extends to AI applications in mathematics, including NLP and predictive modeling. Through publications like “Mathematics Modeling in Economics” and “Baby Calculus,” he aims to bridge theoretical concepts with real-world applications. His research aligns with contemporary advancements in mathematical sciences, reflecting his commitment to innovation and problem-solving in academia and industry.

Publication Top Notes

  • Mathematical Modeling of Population Growth: A Comparative Study of Exponential Model (2025) – Sharif Shabir

  • Mathematical Modeling in Economics (2023) – Sharif Shabir

 

Zhibin Hu | Operations Research | Best Researcher Award

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Dr. Zhibin Hu | Operations Research | Best Researcher Award

Lecturer, Jining Normal University, China📝

Hu Zhibin, born in October 1992, is a distinguished researcher specializing in Operations Research and Control Theory. He earned his doctoral degree from Harbin University of Science and Technology, showcasing expertise in distributed fusion filtering, resilient estimation, and nonlinear systems. With proficiency in Matlab, Ctex, and C language, he has contributed significantly to the field through his research and publications. As an active member of multiple academic societies, he plays a crucial role as a reviewer for high-impact journals. His work is widely recognized, with numerous SCI and EI-indexed publications, solidifying his reputation as a leading researcher.

Profile

Scopus

Education 🎓

Hu Zhibin pursued his undergraduate studies at Inner Mongolia University of Science and Technology, where he specialized in Mathematics and Applied Mathematics from 2011 to 2015. He then continued his academic journey at Harbin University of Science and Technology, obtaining a master’s degree in Computational Mathematics from 2016 to 2019. His passion for research led him to further his studies at the same university, where he earned a doctoral degree in Operations Research and Control Theory between 2019 and 2023. His strong academic background has laid a solid foundation for his research in mathematical modeling and control systems.

Experience 🏆

Hu Zhibin is actively involved in the academic community as a member of the Chinese Simulation Association, Chinese Association for Artificial Intelligence, and the Chinese Operations Research Society. He has contributed as a reviewer for prestigious journals, including Neural Processing Letters and Transactions on Network Science and Engineering. His expertise extends beyond research, as he has also co-authored several SCI and EI-indexed papers. Additionally, he holds a patent for a distributed fusion estimation method, highlighting his innovative contributions to the field.

Research Interests 🔬

Hu Zhibin’s research focuses on distributed fusion filtering, optimization algorithms, and nonlinear stochastic systems. He is particularly interested in state estimation, resilient filtering techniques, and communication-constrained networks. His work integrates machine learning with control theory, addressing complex challenges in multi-sensor systems and data fusion. His contributions aim to enhance system reliability and performance in uncertain environments, making significant advancements in the field of control and automation.

Awards & Achievements 🏅

Hu Zhibin has received recognition for his outstanding contributions to research and academia. As a member of multiple academic societies, he actively participates in research collaborations and peer reviews. His numerous publications in high-impact journals demonstrate his expertise and influence in the field. In addition to his scholarly achievements, he has also secured a patent for a novel estimation method, further showcasing his innovative mindset.

Publications 📚

Hu Z B, Hu J, Tan H, Huang J, Cao Z (2022). Distributed resilient fusion filtering for nonlinear systems with random sensor delay under round-robin protocol. International Journal of Systems Science (SCI, Q2).

Hu Z B, Hu J, Du J, Liu H, Qi J (2023). Optimized distributed fusion filtering for uncertain nonlinear systems with missing measurements. International Journal of Control, Automation and Systems (SCI, Q2).

Hu J, Hu Z B, Dong H, Liu H (2023). Distributed resilient fusion filtering for nonlinear systems with random sensor delays. Journal of Systems Science & Complexity (SCI, Q2).

Hu J, Hu Z B, Caballero-Águila R, Fan S T, Yi X J (2023). Distributed Resilient Fusion Filtering for Nonlinear Systems with Multiple Missing Measurements. Information Sciences (SCI, Q1).

Hu Z B, Hu J, Chen C (2023). Outlier-resistant distributed fusion filtering for nonlinear discrete-time singular systems. Frontiers of Information Technology & Electronic Engineering (SCI, Q2).

Hu Z B, Hu J, Du J H, Zhao Y N (2022). Distributed State and Fault Fusion Filtering for Nonlinear Systems. IEEE 8th International Conference on Control Science and Systems Engineering (EI Indexed).

Hu Z B, Hu J, Chen C, Du J H (2022). Design of Simultaneous State and Unknown Input Filtering Algorithm. 8th IEEE International Conference on Cloud Computing and Intelligent Systems (EI Indexed).

Hu Z B, Hu J, Yang G (2020). A survey on distributed filtering, estimation, and fusion. Systems Science and Control Engineering (EI Indexed).

Hu Zhibin, Deng Caixia, Shao Yunhong, Wang Cui (2019). Edge Detection Method based on Lifting B-Spline Dyadic Wavelet. International Journal of Performability Engineering (EI Indexed).

Wang C, Deng C X, Hu Z B (2019). An improved wavelet threshold function and its application. International Journal of Performability Engineering (EI Indexed).

Conclusion

Dr. Hu Zhibin is a strong candidate for the Best Researcher Award. His impressive research achievements, peer-review contributions, and technical skills reflect a deep commitment to advancing knowledge in Operations Research and Control Theory. Strengthening industry collaborations and international research networks could further enhance his impact. Overall, he is highly deserving of recognition for his outstanding research contributions. 🚀🏆

 

 

 

Jaynesh Ambechada | Environmental Science | Best Researcher Award

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Mr. Jaynesh Ambechada | Environmental Science | Best Researcher Award

Research scholar, Saurashtra University Rajkot India

Jayneshkumar K. Ambechada is a dedicated microbiologist and educator with a passion for research and teaching. He is pursuing a Ph.D. in Microbiology at Saurashtra University, with a focus on nitrogen-fixing organisms. With experience as an Assistant Professor at Shree Science College and a microbiologist at Envitro Laboratories, he has honed his expertise in microbial studies. He has actively contributed to national conferences and workshops and received multiple accolades for his research. His work emphasizes microbiology, molecular biology, and bioinformatics, aiming to make meaningful contributions to scientific advancements.

Publication Profile

Orcid

🎓 Education

Ph.D. (Microbiology), Saurashtra University (Ongoing). M.Sc. (Microbiology), BKNMU, 2020 – 52.91%. B.Sc. (Microbiology), Saurashtra University, 2018 – 70.05%. HSC (Science), GSHEB, 2015 – 49.53%. SSC, GSEB, 2012 – 73.08%

💼 Experience

Microbiologist, Envitro Laboratories, Rajkot (Jan 2023 – Present). Assistant Professor, Shree Science College, Simar (Sep 2020 – Oct 2021). M.Sc. Research: “Nitrogen Fixing Organisms from Saline Habitat as Biofertilizer,” under Dr. Dushyant Dudhagara, BKNMU

🏆 Awards & Honors

Best Poster Presentation, National Seminar, SPU, 2018. Best Poster Presentation, SciTech-2019, Junagadh. Shodh Fellow (2021-2023), Gujarat State Research Program. NCBI GenBank submissions (5 sequences)

🔍 Research Focus

Microbial nitrogen fixation for sustainable agriculture. Bioinformatics applications in microbial identification. Molecular biology techniques including PCR and genetic sequencing. Environmental microbiology and biotechnology. Chromatographic and spectroscopic analysis for microbial studies

Publication Top Notes

  • Biosurfactant Producing Bacteria from Groundnut Oil Cake and its Application in Pesticide Removal (2024) – Jaynesh K. Ambechada, Valentina V. Umrania
    DOI: 10.60151/envec/taoj9445

 

  • NITROGEN-FIXING BACTERIA IN BIOFERTILIZER PRODUCTION: BENEFITS, LIMITATIONS AND PROSPECTS (2024) – Jaynesh K. Ambechada

 

 

  • Silver Nanoparticles & Its Antimicrobial Activity From Azadirachta Indica (Neem) Leaf Extract (2024) – Jaynesh K. Ambechada

 

Abel Rouboa | Energy | Best Researcher Award

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Prof. Dr. Abel Rouboa | Energy | Best Researcher Award

Prof. Dr at Faculty of Engineering of University of Porto , Portugal

Abel Rouboa is an Associate Professor of Mechanical Engineering with Habilitation (HDR) at the University of Trás-os-Montes e Alto Douro, Portugal, and the Faculty of Engineering at the University of Porto. He holds a Ph.D. in Computational Fluid Dynamics from the University of Pierre et Marie Curie (Paris VI). Rouboa’s research expertise encompasses energy conversion, biomass gasification, and computational fluid dynamics. He has significant experience in guiding postdoctoral and Ph.D. researchers and has been a key member of prominent research groups, including LAETA, an Associate Laboratory classified as Excellent. Rouboa is an active member of the American Society of Mechanical Engineering and has collaborated internationally, contributing extensively to the advancement of sustainable energy technologies. His work has earned recognition in prestigious journals and conferences, and he has been instrumental in numerous research projects.

Publication Profile

Google Scholar

Orcid

Scopus

🎓 Education

Abel Rouboa completed his MSc in Mechanical Engineering at the University of Pierre et Marie Curie (Paris VI) in 1990. He earned his Ph.D. in Computational Fluid Dynamics from the same institution in 1994. Rouboa further honed his research expertise during a postdoctoral fellowship at the University of Porto (FEUP), focusing on Parallel Computational Fluid Dynamics. He later completed the “Habilitation” or HDR qualification in Computational Mass and Heat Transfer in 2008 at the University of Trás-os-Montes e Alto Douro, Portugal. Rouboa’s continuous commitment to academic and professional development led him to research scholarships at institutions like the University of Pennsylvania, where he focused on energy conversion processes from 2005 to 2006.

💼 Experience

Abel Rouboa’s professional career spans over three decades, with substantial experience in both academia and research. From 1990 to 1998, he served as an Assistant Professor of Mechanical Engineering at the University of Paris-Sud. He then held academic roles at the University of Trás-os-Montes e Alto Douro, progressing from Assistant Professor to Associate Professor. Since 2021, he has been an Associate Professor at the Faculty of Engineering at the University of Porto. Rouboa has actively participated in numerous collaborative research projects, particularly in biomass energy conversion, fluid dynamics, and syngas combustion. He has supervised multiple Ph.D. and postdoctoral students, contributing to advancements in energy systems, gasification technologies, and biomechanics. His expertise is also recognized in research grants such as COBIGA and HydrICE.

🏆 Awards & Honors

Abel Rouboa has received numerous awards for his contributions to mechanical engineering and energy research. Notably, his team won the Best Paper Award at the European Academy for Sustainable Development’s TMREES22 Conference in May 2022 for their work on plasma gasification. He has also secured prestigious research grants, including the “COBIGA” project worth 240,000 Euros and the “HydrICE” grant for hydrogen-rich syngas combustion. Rouboa’s ongoing excellence as a researcher is evidenced by his leadership in several major funded research initiatives and his continuous contributions to academic journals and conferences.

🔍 Research Focus

Abel Rouboa’s research is primarily centered around energy conversion, computational fluid dynamics, and sustainable energy systems. His key research areas include biomass gasification, syngas production, and combustion processes. Rouboa focuses on optimizing energy systems to maximize efficiency and sustainability, particularly in the field of renewable energy technologies. His research also explores the application of computational models to simulate complex energy processes, with a focus on reducing environmental impacts. Rouboa’s work aims to improve energy conversion methods, including cogeneration systems and hydrogen production, contributing to a more sustainable energy future. He continues to mentor Ph.D. students and collaborate with international researchers in these fields.

Publication Top Notes

  • Influence of the Biomass Gasification Processes on the Final Composition of Syngas

    • Authors: N Couto, A Rouboa, V Silva, E Monteiro, K Bouziane
    • Citations: 397
    • Year: 2013
    • Journal: Energy Procedia
    • Volume: 36, Pages 596-606

  • Co-gasification and Recent Developments on Waste-to-Energy Conversion: A Review

    • Authors: A Ramos, E Monteiro, V Silva, A Rouboa
    • Citations: 360
    • Year: 2018
    • Journal: Renewable and Sustainable Energy Reviews
    • Volume: 81, Pages 380-398

  • Numerical Approaches and Comprehensive Models for Gasification Process: A Review

    • Authors: A Ramos, E Monteiro, A Rouboa
    • Citations: 177
    • Year: 2019
    • Journal: Renewable and Sustainable Energy Reviews
    • Volume: 110, Pages 188-206

  • Numerical Investigation of Optimum Operating Conditions for Syngas and Hydrogen Production from Biomass Gasification Using Aspen Plus

    • Authors: R Tavares, E Monteiro, F Tabet, A Rouboa
    • Citations: 175
    • Year: 2020
    • Journal: Renewable Energy
    • Volume: 146, Pages 1309-1314

  • The Use of Neural Network Technology to Model Swimming Performance

    • Authors: AJ Silva, AM Costa, PM Oliveira, VM Reis, J Saavedra, J Perl, A Rouboa, et al.
    • Citations: 170
    • Year: 2007
    • Journal: Journal of Sports Science & Medicine
    • Volume: 6, Issue 1, Pages 117