Mate Fazekas | Autonomous Vehicles | Best Researcher Award

Posted on by Academic achievements

Mr. Mate Fazekas | Autonomous Vehicles | Best Researcher Award

Ph.D. student at HUN-REN Institute for Computer Science and Control (SZTAKI), Hungary

Máté Fazekas is a dedicated researcher and senior software developer based in Budapest, Hungary. Since 2017, he has contributed significantly as a research associate at the HUN-REN Institute for Computer Science and Control, focusing on state estimation and model identification for autonomous vehicles. From 2022 to 2024, he expanded his expertise as a senior software developer at HUMDA Lab Kft., specializing in developing control systems for autonomous racecars. Currently pursuing a PhD in Robotics at the Budapest University of Technology and Economics, Máté’s research centers on model calibration for autonomous vehicles integrating machine learning techniques. He holds an MSc in Electrical Engineering and a BSc in Mechatronics Engineering from the same institution, both awarded with highest honors. Proficient in languages including Hungarian and English, he excels in programming languages like Matlab, Python, C/C++, and LabVIEW, complemented by strong skills in CAD software and Microsoft Office applications.

Professional Profiles

Education

Máté Fazekas pursued his academic journey at the Budapest University of Technology and Economics, achieving academic excellence throughout. He completed his Bachelor of Science in Mechatronics Engineering from the Faculty of Mechanical Engineering, graduating summa cum laude in 2017. His undergraduate thesis focused on the development of an automated parking system. Subsequently, he earned his Master of Science in Electrical Engineering and Informatics from the Faculty of Electrical Engineering and Informatics, also graduating summa cum laude in 2019. His master’s thesis centered on state and parameter estimation for car-like robots. Currently, he is continuing his academic pursuits as a PhD student in Robotics at the Faculty of Vehicle Engineering, where his research involves model calibration for autonomous vehicles integrating machine learning techniques.

Professional Experience

Máté Fazekas has gained valuable experience in both research and software development roles. Since December 2017, he has served as a Research Associate at the HUN-REN Institute for Computer Science and Control in Budapest, focusing on state estimation and model identification for autonomous vehicles. Concurrently, from June 2022 to June 2024, he worked as a Senior Software Developer at HUMDA Lab Kft., specializing in the development of control systems for autonomous racecars. His expertise includes integrating GNSS, IMU, and odometry for vehicle localization, along with developing advanced software solutions for autonomous systems.

Research Interest

Máté Fazekas, a Budapest-based researcher and Senior Software Developer at HUMDA Lab Kft., specializes in robotics and autonomous systems. Since 2017, he has contributed significantly as a research associate at the HUN-REN Institute for Computer Science and Control, focusing on state estimation and model identification for autonomous vehicles using GNSS, IMU, and odometry technologies. His current role involves developing control systems for autonomous racecars, enhancing their performance and automation capabilities. Educationally, Máté is pursuing a PhD in Robotics at Budapest University of Technology and Economics, exploring model calibration for autonomous vehicles with machine learning integration. He holds a master’s degree in Electrical Engineering and Informatics, where his research focused on state and parameter estimation for robotic systems, and a bachelor’s degree in Mechatronics Engineering, emphasizing automated parking systems. His technical skills include proficiency in Matlab, Python, C/C++, and LabVIEW, as well as CAD and FEM tools like SolidWorks, Inventor, and Ansys.

Research skills

Mate Fazekas is proficient in multiple languages, with Hungarian as his mother tongue and English at an intermediate B2 level. His computer skills include intermediate proficiency in Microsoft Office tools such as Word, Excel, PowerPoint, Access, and Project. He also possesses intermediate skills in Computer-Aided Design (CAD) and Finite Element Method (FEM) software like SolidWorks, Inventor, and Ansys. In programming, Mate demonstrates intermediate proficiency in languages such as C/C++ and LabVIEW, along with advanced skills in MATLAB and intermediate proficiency in Python. These skills equip him well for his research and development roles, particularly in robotics and autonomous vehicle technologies.

Publications

  1. Wheel odometry model calibration with neural network-based weighting
    • Authors: Fazekas, M., Gáspár, P.
    • Journal/Conference: Engineering Applications of Artificial Intelligence, 2024
    • Citations: 0
  2. LPV-Based Control Design with Guarantees: a Case Study for Automated Steering of Road Vehicles
    • Authors: Nemeth, B., Fazekas, M., Bagoly, Z., Gaspar, P., Sename, O.
    • Conference: European Control Conference, ECC 2023, 2023
    • Citations: 0
  3. Calibration of the Nonlinear Wheel Odometry Model with an Improved Genetic Algorithm Architecture
    • Authors: Fazekas, M., Németh, B., Gáspár, P.
    • Conference: Proceedings of the International Conference on Informatics in Control, Automation and Robotics, 2022
    • Citations: 0
  4. Vehicle Control with Cloud-aided Learning Feature: an Implementation on Indoor Platform
    • Authors: Németh, B., Antal, Z., Marosi, A.C., Fazekas, M., Gáspár, P.
    • Journal: IFAC-PapersOnLine, 2022
    • Citations: 1
  5. Wheel Odometry Model Calibration with Input Compensation by Optimal Control
    • Authors: Fazekas, M., Gáspár, P., Németh, B.
    • Journal: IFAC-PapersOnLine, 2022
    • Citations: 0
  6. Calibration of Front Wheel Odometry Model
    • Authors: Fazekas, M., Gáspár, P., Németh, B.
    • Book: Lecture Notes in Mechanical Engineering, 2022
    • Citations: 0
  7. Implementation of a variable-geometry suspension-based steering control system
    • Authors: Fényes, D., Fazekas, M., Németh, B., Gáspár, P.
    • Journal: Vehicle System Dynamics, 2022
    • Citations: 6
  8. Parameter Identification of the Nonlinear Wheel Odometry Model with Batch Least Squares Method
    • Authors: Fazekas, M., Gáspár, P., Németh, B.
    • Conference: Conference on Control and Fault-Tolerant Systems, SysTol, 2021
    • Citations: 1
  9. Velocity estimation via wheel circumference identification
    • Authors: Fazekas, M., Gáspár, P., Németh, B.
    • Journal: Periodica Polytechnica Transportation Engineering, 2021
    • Citations: 1
  10. Improving the wheel odometry calibration of self-driving vehicles via detection of faulty segments
    • Authors: Fazekas, M., Gaspar, P., Nemeth, B.
    • Conference: IEEE International Conference on Automation Science and Engineering, 2021
    • Citations: 0

 

 

Foad Gandoman | Engineering | Best Researcher Award

Posted on by Academic achievements

Dr. Foad Gandoman | Engineering | Best Researcher Award

CTO at RSTER, Belgium

Foad Gandoman is a highly accomplished researcher in electrical engineering with a strong focus on e-mobility applications, energy storage technologies, and smart power grids. He holds a PhD from Vrije Universiteit Brussel and has published extensively in peer-reviewed journals and book chapters. His expertise spans from modeling and simulation of power systems to the integration of renewable energy sources. Gandoman has played pivotal roles in EU projects, demonstrating leadership in project development and team management. His technical proficiency in MATLAB, Dig SILENT, and LabVIEW supports his innovative approach to addressing challenges in energy efficiency and sustainability.

Professional Profiles

Education

Foad Gandoman is a highly accomplished researcher with a Ph.D. in Electrical Engineering from Vrije Universiteit Brussel (VUB) and an M.Sc. from Science and Research Branch University, Tehran. His research spans E-mobility Applications, Energy Storage Technologies (particularly Li-ion batteries and fuel cells), Reliability, Safety, Power Quality, Renewable Energy Systems Integration, and Smart Power Grids. Foad has published over 60 manuscripts in peer-reviewed journals and book chapters, demonstrating his expertise in power systems analysis, modelling, simulation, and engineering tools. He has extensive experience managing and coordinating EU projects, including innovative battery management systems and hyper powered vessel battery charging systems. Foad’s technical proficiency includes MATLAB, Dig SILENT, and LabVIEW, and he is fluent in English, Persian, Kurdish, with basic proficiency in Dutch (A2). For more details, you can connect with him on LinkedIn or view his publications on Google Scholar.

Professional Experience

Foad Gandoman has extensive experience spanning various roles in electrical engineering and renewable energy research. From 2021 to 2024, he served as the CTO and Technical Project Manager at the Reliability & Safety Technical Centre, where he excelled in EU project development and management. His achievements include coordinating international teams and leading innovative projects such as the Hyper powered vessel battery charging system and advanced battery management systems for next-generation vehicles. Prior to this, from 2017 to 2021, Foad worked at Vrije Universiteit Brussel (VUB) as a Project Engineer and Research Assistant. Here, he contributed significantly to renewable energy integration into power grids, pioneering methodologies for assessing the impacts of environmental factors on photovoltaic system outputs. His research output includes numerous publications on topics ranging from solar PV forecasting to lithium-ion battery performance and reliability. Foad’s expertise extends to electro-thermal modeling, system identification, and safety analyses of battery systems, reflecting his comprehensive knowledge in energy storage technologies and smart power grids.

Research Interest

Foad Gandoman is deeply engaged in advancing several forefronts of electrical engineering and renewable energy systems. His primary interests lie in exploring e-mobility applications across diverse platforms including land, sea, and air transportation. Additionally, he focuses on the development and optimization of energy storage technologies such as lithium-ion batteries and fuel cells, emphasizing their reliability and safety. Gandoman is also committed to enhancing smart power grids through innovative integration of renewable energy sources, aiming to improve grid stability and efficiency. His research extends to addressing challenges in renewable energy systems integration and enhancing power quality, contributing significantly to sustainable energy solutions.

Award and Honors

Foad Gandoman has been recognized with several prestigious awards and honors that highlight his exceptional contributions to the field of electrical engineering and renewable energy systems. Notably, he received the VUB Tuition Fee Scholarship (TFS) during his doctoral studies at Vrije Universiteit Brussel, Belgium, which also included a living allowance. His expertise and research impact have led to invitations to speak at international conferences, showcasing his leadership in the field. Additionally, his membership in technical program committees for international conferences underscores his influence and involvement in shaping the discourse on renewable energy and electrical engineering practices globally. These honors underscore Gandoman’s commitment to advancing sustainable energy solutions and his significant contributions to the academic and professional communities in these fields.

Research Skills

Foad Gandoman possesses a robust set of research skills tailored to the complexities of electrical engineering and renewable energy systems. His proficiency includes designing and conducting detailed experiments, analyzing complex data, and interpreting findings crucial for advancing e-mobility applications, energy storage technologies (specifically Li-ion batteries and fuel cells), and smart power grids. He excels in power systems analysis, modeling, and simulation, utilizing tools such as MATLAB, Dig SILENT, and LabVIEW. Gandoman’s research prowess extends to reliability, safety, and power quality assessments, essential for integrating renewable energy systems into existing grids. His ability to innovate and apply rigorous methodologies ensures impactful contributions to the field’s technological advancements and sustainability goals.

Publications

  1. Review of batteries reliability in electric vehicle and E-mobility applications
    • Authors: Ali, Z.M., Calasan, M., Gandoman, F.H., Jurado, F., Abdel Aleem, S.H.E.
    • Year: 2024
    • Citations: 3
    • Source: Ain Shams Engineering Journal
  2. Advancements in battery thermal management for electric vehicles: Types, technologies, and control strategies including deep learning methods
    • Authors: Ali, Z.M., Jurado, F., Gandoman, F.H., Ćalasan, M.
    • Year: 2024
    • Citations: 0
    • Source: Ain Shams Engineering Journal
  3. Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review
    • Authors: Ali, Z.M., Calasan, M., Aleem, S.H.E.A., Jurado, F., Gandoman, F.H.
    • Year: 2023
    • Citations: 13
    • Source: Energies
  4. Understanding Voltage Behavior of Lithium-Ion Batteries in Electric Vehicles Applications
    • Authors: Gandoman, F.H., El-Shahat, A., Alaas, Z.M., Berecibar, M., Abdel Aleem, S.H.E.
    • Year: 2022
    • Citations: 13
    • Source: Batteries
  5. Thermal Management of the Li-Ion Batteries to Improve the Performance of the Electric Vehicles Applications
    • Authors: Behi, H., Gandoman, F.H., Karimi, D., Van Mierlo, J., Berecibar, M.
    • Year: 2022
    • Citations: 0
    • Source: Modern Automotive Electrical Systems (Book Chapter)
  6. The Concept of Li-Ion Battery Control Strategies to Improve Reliability in Electric Vehicle (EV) Applications
    • Authors: Gandoman, F.H., Nasiriyan, V., Mohammadi-Ivatloo, B., Ahmadian, D.
    • Year: 2022
    • Citations: 1
    • Source: Green Energy and Technology (Book Chapter)
  7. Multi-objective particle swarm optimization and training of datasheet-based load dependent lithium-ion voltage models
    • Authors: Kalogiannis, T., Hosen, M.S., Gandoman, F.H., Berecibar, M., Van Mierlo, J.
    • Year: 2021
    • Citations: 12
    • Source: International Journal of Electrical Power and Energy Systems
  8. Reliability evaluation of lithium‐ion batteries for e‐mobility applications from practical and technical perspectives: A case study
    • Authors: Gandoman, F.H., Ahmed, E.M., Ali, Z.M., Zobaa, A.F., Abdel Aleem, S.H.E.
    • Year: 2021
    • Citations: 23
    • Source: Sustainability (Switzerland)
  9. Sizing and energy management of parking lots of electric vehicles based on battery storage with wind resources in distribution network
    • Authors: Shahrokhi, S., El-Shahat, A., Masoudinia, F., Gandoman, F.H., Abdel Aleem, S.H.E.
    • Year: 2021
    • Citations: 3
    • Source: Energies
  10. Smart grid in China, EU, and the US: State of implementation
    • Authors: Sospiro, P., Amarnath, L., Di Nardo, V., Talluri, G., Gandoman, F.H.
    • Year: 2021
    • Citations: 16
    • Source: Energies

 

 

Alaa Jamal | Process Control | Best Researcher Award

Posted on by Academic achievements

Dr. Alaa Jamal | Process Control | Best Researcher Award

Research Scientist at Agricultural Research Organization, Israel

Alaa Jamal is a researcher specializing in hydrodynamics and water resources engineering. He completed his Ph.D. and M.Sc. at Technion – Israel Institute of Technology, focusing on improving crop growth models and irrigation scheduling using real-time measurements and probabilistic forecasts. Currently, he serves as a researcher in precision aquaculture at the Agricultural Research Organization, focusing on optimizing aquaculture processes through control and monitoring technologies. Previously, he held positions as a postdoctoral researcher at the University of Illinois at Urbana-Champaign and a research scholar at the University of Haifa. Alaa has published extensively and presented his work internationally, with expertise in programming languages like Matlab, Python, C, C#, and R, and proficiency in professional software such as Autocad, Office, and SolidWorks.

Professional Profiles

Education

Alaa Jamal pursued his academic journey at the Technion – Israel Institute of Technology in Haifa, Israel, achieving significant milestones in hydrodynamics and water resources engineering. He completed his Ph.D. from 2017 to 2020, focusing on enhancing crop growth predictions through real-time measurements. During his master’s studies from 2014 to 2017, he specialized in optimizing irrigation schedules using probabilistic weather forecasting. Earlier, from 2010 to 2014, Alaa earned his bachelor’s degree in Water Resources and Environmental Engineering, laying the foundation for his subsequent research and professional endeavors in precision aquaculture and water distribution analysis.

Professional Experience

Since 2022, Alaa Jamal has served as a researcher in precision aquaculture at the Agricultural Research Organization, focusing on optimizing aquaculture processes through advanced control and monitoring technologies. His responsibilities include preparing research proposals, supervising Master’s and Ph.D. students, and publishing peer-reviewed papers. Previously, from 2020 to 2022, he was a postdoctoral researcher at the University of Illinois at Urbana-Champaign, where he contributed to a USDA-funded project on smart irrigation techniques in the Corn Belt, USA. His work involved developing irrigation scheduling tools integrating field data, weather forecasts, and machine learning-based crop simulation models. Prior roles also include research scholar positions at the University of Haifa and teaching assistantships at Technion – Israel Institute of Technology, where he contributed to various courses in fluid mechanics, statistics, and water systems design.

Research Interest

Alaa Jamal’s research interests lie at the intersection of hydrodynamics, water resources engineering, and agricultural technologies. His work primarily focuses on optimizing crop growth models through real-time measurements and enhancing irrigation scheduling using probabilistic weather forecasting. He is particularly interested in precision aquaculture, where he explores optimal control and monitoring technologies to improve aquaculture processes. His expertise extends to developing smart irrigation techniques and analyzing water distribution networks, emphasizing the integration of data assimilation techniques like ensemble Kalman filters and genetic algorithms. Jamal’s research contributes significantly to sustainable agriculture and water resource management.

Publications and Presentations

Alaa Jamal has authored several peer-reviewed papers in prestigious journals like the Journal of Water Resources Planning and Management, Vadose Zone Journal, and Water Resources Management. He has also presented his research at various international conferences and symposia, showcasing his expertise in stochastic irrigation scheduling, data assimilation in hydrology, and optimization models in agriculture and aquaculture.

Computer Skills

He is proficient in programming languages such as Matlab, Python, C, C#, and R, and has experience with professional software including Autocad, Office, and SolidWorks.

Publications

  1. Real-time ammonia estimation in recirculating aquaculture systems: A data assimilation approach
    • Authors: Alaa Jamal, Ahmed Nasser, Jaap van Rijn
    • Year: 2024
    • Journal: Aquacultural Engineering
    • Volume: 106
    • Pages: 102432
  2. Covariance-Based Selection of Parameters for Particle Filter Data Assimilation in Soil Hydrology
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2022
    • Journal: Water (Switzerland)
    • Volume: 14
    • Issue: 22
    • Pages: 3606
    • Citations: 2
  3. Utilizing Matrix Completion for Simulation and Optimization of Water Distribution Networks
    • Authors: Mashor Housh, Alaa Jamal
    • Year: 2022
    • Journal: Water Resources Management
    • Volume: 36
    • Issue: 1
    • Citations: 1
  4. Genetic operator-based particle filter combined with Markov chain Monte Carlo for data assimilation in a crop growth model
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2020
    • Journal: Agriculture (Switzerland)
    • Volume: 10
    • Issue: 12
    • Pages: 606
    • Citations: 11
  5. Inflation method based on confidence intervals for data assimilation in soil hydrology using the ensemble Kalman filter
    • Authors: Alaa Jamal, Raphael Linker
    • Year: 2020
    • Journal: Vadose Zone Journal
    • Volume: 19
    • Issue: 1
    • Pages: e20000
    • Citations: 10
  6. Optimal Irrigation with Perfect Weekly Forecasts versus Imperfect Seasonal Forecasts
    • Authors: Alaa Jamal, Raphael Linker, Mashor Housh
    • Year: 2019
    • Journal: Journal of Water Resources Planning and Management
    • Volume: 145
    • Issue: 5
    • Pages: 06019003
    • Citations: 16
  7. Comparison of various stochastic approaches for irrigation scheduling using seasonal climate forecasts
    • Authors: Alaa Jamal, Raphael Linker, Mashor Housh
    • Year: 2018
    • Journal: Journal of Water Resources Planning and Management
    • Volume: 144
    • Issue: 7
    • Pages: 04018028
    • Citations: 13

 

 

 

Anita Raj | Social Sciences | Best Researcher Award

Posted on by Academic achievements

Prof. Anita Raj | Social Sciences | Best Researcher Award

Professor and Executive Director at Tulane University and UC San Diego, United States

Dr. Anita Raj is an accomplished researcher with a wealth of expertise in epidemiology, qualitative assessment, and social and behavioral research methodologies. Her extensive academic background includes significant contributions to understanding the intersections of gender, social vulnerabilities, and health outcomes across various global contexts. Through her research, she explores complex issues such as reproductive health, gender inequities, and the impacts of social factors on health disparities. Dr. Raj is particularly noted for her adeptness in designing and implementing rigorous research studies that incorporate diverse methodologies and theoretical frameworks. Her work not only advances scientific knowledge but also informs evidence-based interventions aimed at improving health outcomes for vulnerable populations, including minorities and those affected by substance abuse. Dr. Raj’s commitment to applying research findings to policy and practice underscores her dedication to promoting health equity and social justice on a global scale.

Professional Profiles

Education

Anita Raj holds a Bachelor of Science (BS) degree in Biology from Mississippi College, completed in 1991. She pursued further education at the University of Georgia in Athens, Georgia, where she earned a Master of Science (MS) in Psychology in 1995. She continued her academic journey at the same institution, completing her Doctor of Philosophy (PhD) in Psychology in 1996.

Professional Experience

Anita Raj, PhD, holds a prominent position in academia and public health, serving as Executive Director of the Newcomb Institute at Tulane University and the Nancy Reeves Dreux Endowed Professor at the Tulane School of Public Health and Tropical Medicine since 2023. She has been a Professor in Education Studies within the Division of Social Sciences at the University of California, San Diego, where she also holds the Tata Chancellor Endowed Chair of Society and Health. With a tenure since 2017, Raj has played a pivotal role as the Founding Director of the Center on Gender Equity and Health at UCSD, underscoring her dedication to addressing gender disparities in health globally. Her career spans significant appointments at Boston University, including professorships in Medicine and Public Health, and various leadership roles in global health and gender equity initiatives. Raj’s extensive expertise encompasses research, teaching, and advocacy, focusing on reproductive, maternal, and child health, gender inequities, and social interventions for vulnerable populations.

Research Interest

Anita Raj, PhD, focuses her research on epidemiological and qualitative assessments of gendered, social, and cultural vulnerabilities affecting reproductive, maternal, neonatal, child, and adolescent health globally. Her work delves into the etiology and public health impact of gender inequities, including early and child marriage, intimate partner violence, sexual assault, and son preference. Raj is committed to developing and evaluating social and behavioral interventions tailored to socially vulnerable groups such as minorities, substance users, and youth. She applies social and behavioral theories to measurement and evaluation research in cross-national settings, advocating for gender data and its translation into policy. Raj also investigates gender parity in academia and leadership within public health and medicine, aiming to enhance gender equity and quality of care through her scholarly endeavors.

Award and Honors

Dr. Anita Raj, a distinguished scholar with a PhD, has received numerous awards and honors for her pioneering contributions to public health and gender equity. Her accolades include the Outstanding Researcher Award from the Society for Research on Adolescence in 2023 and being elected as a Fellow of the American Academy of Pediatrics in 2022. She was recognized for her exceptional work with the National Academy of Medicine in 2021 and received the Excellence in Global Health Award from the American Public Health Association in 2020. Dr. Raj’s career achievements also encompass being honored as a Distinguished Fellow of the Association for Psychological Science in 2019 and receiving the Outstanding Achievement in Public Health award from the American Public Health Association in 2018. Her dedication to mentoring earned her the Chancellor’s Award for Excellence in Mentoring at the University of California, San Diego in 2016, and she was presented with the Global Leadership Award by the Center for Gender Equity and Health in 2015. These accolades reflect Dr. Raj’s profound impact on advancing gender equity and improving health outcomes on a global scale.

Research Skills

Dr. Anita Raj possesses a robust set of research skills honed through her extensive academic and professional journey. Her expertise spans epidemiology, qualitative assessment, and social and behavioral research methodologies. She excels in designing and implementing complex research studies across diverse national settings, focusing on reproductive, maternal, neonatal, child, and adolescent health. Dr. Raj adeptly applies social and behavioral theories to measure and evaluate interventions, emphasizing gender equity and quality of care. Her proficiency extends to data analysis, including advanced statistical methods, and she has a keen ability to translate research findings into actionable policy recommendations. With a strong commitment to interdisciplinary collaboration, Dr. Raj’s research skills are instrumental in addressing critical public health challenges and advocating for marginalized populations globally.

Publications

  1. Gender, power, and health: Modifiable factors and opportunities for intervention
    • Authors: Raj, A., Barr, E., Griffith, D.M.
    • Year: 2024
    • Journal: Social Science and Medicine, 351, 116959
  2. The EMERGE framework to measure empowerment for health and development
    • Authors: Raj, A., Dey, A., Rao, N., Fotso, J.C., Lundgren, R.
    • Year: 2024
    • Journal: Social Science and Medicine, 351, 116879
    • Citations: 1
  3. Examining the association between men’s gender equitable attitudes and contraceptive outcomes in rural Maharashtra, India
    • Authors: Ghule, M., Dixit, A., Johns, N.E., Saggurti, N., Raj, A.
    • Year: 2024
    • Journal: Dialogues in Health, 4, 100168
  4. Assessing the impact of CHARM2, a family planning program on gender attitudes, intimate partner violence, reproductive coercion, and marital quality in India
    • Authors: Chatterji, S., Johns, N.E., Ghule, M., Battala, M., Raj, A.
    • Year: 2024
    • Journal: PLOS Global Public Health, 4(5), e0003220
  5. Climate and Gender: Association between Droughts and Intimate Partner Violence in India
    • Authors: Dehingia, N., McDougal, L., Silverman, J.G., Singh, A., Raj, A.
    • Year: 2024
    • Journal: American Journal of Epidemiology, 193(4), pp. 636–645
  6. “Nobody has written the book about what non-binary people should put forward in relationships”: Exploring gender equity in relationships of queer, trans, and non-monogamous young women and non-binary youth in British Columbia, Canada
    • Authors: Closson, K., Lee, G.Y., Osborne, Z., Leonce, I., Kaida, A., Raj, A.
    • Year: 2024
    • Journal: Social Science and Medicine, 347, 116759
  7. Spousal Concordance in Attitudes Toward Intimate Partner Violence (IPV) and Its Association With Physical IPV Against Women: A Cross-Sectional Study Among Young Married Couples in Rural India
    • Authors: Begum, S., Battala, M., Chalmiers, M.A., Averbach, S., Raj, A.
    • Year: 2024
    • Journal: Partner Abuse, 15(1), pp. 58–72
  8. Preliminary Validation of Two Brief Measures of Masculine and Feminine Honor Endorsement
    • Authors: Bock, J.E., Brown, R.P., Pomerantz, A.L., Raj, A.
    • Year: 2024
    • Journal: Journal of Personality Assessment, 106(4), pp. 522–531
  9. Relationship impacts of the COVID-19 pandemic and lockdown restrictions on young women and men in Durban and Soweto, South Africa
    • Authors: Closson, K., Zharima, C., Kuchena, T.M., Beksinska, M., Kaida, A., Raj, A.
    • Year: 2024
    • Journal: Culture, Health and Sexuality, 26(6), pp. 734–746
    • Citations: 1
  10. Is intimate partner violence declining in low-income and middle-income countries?
    • Authors: Raj, A.
    • Year: 2023
    • Journal: The Lancet Global Health, 11(12), pp. e1828–e1829

 

Bilal Basti | Biomathematics | Academic Brilliance Recognition Award

Posted on by Academic achievements

Prof. Bilal Basti | Biomathematics | Academic Brilliance Recognition Award

Professor at Mohamed Boudiaf University of M’sila, Algeria

Dr. Bilal Basti is a dedicated mathematician with a Ph.D. in Pure and Applied Mathematics, specializing in nonlinear partial and fractional differential equations. He holds a prominent position as a Lecturer at Ziane Achour University of Djelfa, Algeria, where he teaches and supervises both undergraduate and graduate students. His research focuses on theoretical studies, numerical analysis, and mathematical modeling, particularly in areas like image processing, biology, and physics. Dr. Basti is known for his methodological rigor, employing advanced mathematical techniques such as functional analysis and operator theory. He is proficient in various software tools including Matlab and Scientific WorkPlace, and has published extensively in international journals. His contributions to the field are marked by innovative approaches to solving complex mathematical problems, making him a respected figure in the academic community.

Professional Profiles

Education

Dr. Bilal Basti, an accomplished mathematician, holds a Ph.D. in Pure and Applied Mathematics from Mohamed Boudiaf University of M’sila, Algeria. His doctoral research focused on various aspects of nonlinear differential equations, including the existence and uniqueness of solutions for fractional and nonlinear models. Dr. Basti’s academic journey has been marked by a commitment to advancing mathematical theory and its practical applications. He has contributed significantly to the field through his research on mathematical physics equations, operator theory, and functional analysis. With a robust publication record and active participation in international conferences, Dr. Basti continues to enrich the academic community with his expertise and dedication to mathematical sciences.

Professional Experience

Dr. Bilal Basti is a dedicated mathematician with a robust academic career spanning various roles at Ziane Achour University of Djelfa, Algeria. Currently serving as a Lecturer Class A since July 2023, he teaches and mentors students across Bachelor’s and Master’s degree programs in the Faculty of Exact Sciences and Computer Science. Previously, he held the position of Lecturer Class B from November 2020 to July 2023 at the same institution, where he continued to impart knowledge in mathematical disciplines. His career began as a Temporary Assistant Teacher as Ph.D. from 2015 to 2019 at Mohamed Boudiaf University of M’sila, Algeria, where he taught Mathematics and Bio-Statistics. Additionally, he has experience as a Middle School Mathematics Teacher. Dr. Basti actively supervises Master’s theses and co-supervises Ph.D. students, contributing significantly to research in areas such as mathematical physics equations and normed vector spaces.

Research Interest

Dr. Bilal Basti’s research interests lie at the intersection of pure and applied mathematics, with a focus on mathematical analysis and its applications in various fields. He is particularly interested in studying nonlinear partial differential equations (PDEs), fractional differential equations (FDEs), and integral equations. His work explores the theoretical aspects and numerical solutions of mathematical models relevant to image processing, biology, and other scientific disciplines. Dr. Basti’s research also encompasses the analysis of self-similar solutions, traveling waves, and free boundary problems in mathematical physics. He actively contributes to advancements in mathematical modeling for understanding complex phenomena such as infectious diseases and COVID-19 dynamics using fractional calculus and mathematical physics equations. His expertise extends to stability analysis, existence theorems, and the analytical study of differential equations in functional analysis and PDEs.

Award and Honors

Dr. Bilal Basti has garnered recognition for his contributions to mathematics and research. He has received several awards and honors, including commendations for his exceptional doctoral thesis and academic achievements. His work on nonlinear partial differential equations and fractional differential equations has been acknowledged for its significant impact on the field of mathematical analysis. Dr. Basti’s contributions to the stability analysis and existence of solutions for various mathematical models have earned him accolades within the academic community. He continues to be recognized for his scholarly endeavors and is esteemed for his research on self-similar solutions and their applications in mathematical physics and image processing.

Research Skills

Dr. Bilal Basti possesses advanced research skills in pure and applied mathematics, specializing in nonlinear partial differential equations and fractional differential equations. His expertise includes theoretical studies, numerical analysis, and modeling of complex mathematical phenomena. Dr. Basti is adept in conducting rigorous mathematical proofs and analysis, employing techniques such as functional analysis, operator theory, and Sobolev spaces. He has extensive experience in mathematical modeling for various applications, including image processing, biology, and physics. His research skills also encompass computational mathematics, utilizing software tools like Matlab, Scientific WorkPlace, and programming languages such as C++, Python, and Pascal. Dr. Basti’s proficiency in LaTeX facilitates his publication of high-quality research papers. His methodological rigor and innovative approach to solving mathematical problems underscore his reputation as a skilled mathematician and researcher.

Publications

  1. Fractional Mathematical Model for Exploring the Influence of Infectious Diseases on Population with Chronic Conditions
    • Authors: Basti, B.; Chennaf, B.; Boubekeur, M.A.; Bounouiga, S.
    • Year: 2024
    • Citations: 0
  2. Cauchy problem for Jordan-Moore-Gibson-Thompson equations of nonlinear acoustics with fractional operators
    • Authors: Djemiat, R.; Basti, B.; Benhamidouche, N.
    • Year: 2023
    • Citations: 1
  3. THEORETICAL STUDIES ON THE EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A MULTIDIMENSIONAL NONLINEAR TIME AND SPACE-FRACTIONAL REACTION-DIFFUSION/WAVE EQUATION
    • Authors: Basti, B.; Djemiat, R.; Benhamidouche, N.
    • Year: 2023
    • Citations: 1
  4. Analytical studies on the global existence and blow-up of solutions for a free boundary problem of two-dimensional diffusion equations of moving fractional order
    • Authors: Djemiat, R.; Basti, B.; Benhamidouche, N.
    • Year: 2022
    • Citations: 4
  5. Existence Study of Solutions for a System of n Nonlinear Fractional Differential Equations with Integral Conditions
    • Authors: Basti, B.; Arioua, Y.
    • Year: 2022
    • Citations: 3
  6. Existence Of Traveling Wave Solutions For A Free Boundary Problem Of Higher-Order Space-Fractional Wave Equations
    • Authors: Djemiat, R.; Basti, B.; Benhamidouche, N.
    • Year: 2022
    • Citations: 3
  7. Stability analysis and existence of solutions for a modified sird model of covid-19 with fractional derivatives
    • Authors: Basti, B.; Hammami, N.; Berrabah, I.; Djemiat, R.; Benhamidouche, N.
    • Year: 2021
    • Citations: 15
  8. Existence results for nonlinear katugampola fractional differential equations with an integral condition
    • Authors: Basti, B.; Arioua, Y.; Benhamidouch, N.
    • Year: 2020
    • Citations: 9
  9. Global existence and blow-up of generalized self-similar solutions to nonlinear degenerate diffusion equation not in divergence form
    • Authors: Basti, B.; Benhamidouche, N.
    • Year: 2020
    • Citations: 8
  10. Existence results of self-similar solutions to the caputo-type’s space-fractional heat equation
    • Authors: Basti, B.; Benhamidouche, N.
    • Year: 2020
    • Citations: 10

 

Manuel García-Infane | Biological Sciences | Best Researcher Award

Posted on by Academic achievements

Mr. Manuel García-Infane | Biological Sciences | Best Researcher Award

Agronomy Department at University of Seville, Spain

Manuel García-Infante is a distinguished figure in agricultural sciences, renowned for his expertise in animal production and food quality assessment. Currently pursuing a PhD at the University of Seville, he has excelled in experimental design, data analysis using SPSS and R, biomarker analysis, and machine learning applications in agricultural research. Manuel’s research contributions, evidenced by publications in prestigious journals, focus on optimizing lamb carcass classification and understanding meat quality dynamics. Beyond his research acumen, he enriches educational practices as a professor at Isabel I International University of Castile, integrating technology into agricultural education. Recognized for his outstanding academic achievements, including the Best Master’s Degree in Agricultural Engineering, Manuel embodies a commitment to advancing agricultural knowledge and innovation, making significant contributions to both academia and industry.

Professional Profiles

Education

Manuel García-Infante has pursued a diverse and rigorous academic path, culminating in several degrees that underscore his expertise in agricultural sciences and education. Currently a PhD student at the University of Seville in Agricultural, Food, Forestry, and Rural Development Engineering, his research focuses on advancing techniques in animal production. Prior to this, he earned a Master’s Degree in Agricultural Engineering from the same institution, where he specialized in Agriculture, Forestry, Fisheries, and Veterinary Sciences. Complementing his scientific pursuits, Manuel also holds a Master’s Degree in Secondary Education Teacher Training from Isabel I University of Castile, emphasizing Technology and IT integration in educational settings. His educational journey reflects a deep commitment to both theoretical knowledge and practical application in agricultural sciences and pedagogy.

Professional Experience

Manuel García-Infante possesses a rich tapestry of professional experiences across academia, research, and industry. Currently, he serves as a Researcher at the Agricultural and Fisheries Research and Training Centre in Seville, focusing on citrus agriculture. Simultaneously, Manuel holds a position as a Professor at Isabel I International University of Castile, where he imparts knowledge in Teacher Training within the Faculty of Humanities and Social Sciences. Previously, he contributed significantly as an Honorary Assistant in the Department of Agronomy at the University of Seville, collaborating on research projects in animal breeding technologies. His diverse roles also include a tenure as a bank employee at Caja Rural del Sur, where he provided personalized financial advice and managed client relationships. Throughout his career, Manuel’s professional journey has been marked by a blend of academic excellence, research leadership, and practical expertise in agricultural sciences and education.

Research Interest

Manuel García-Infante’s research interests are multifaceted and deeply rooted in agricultural science, particularly focusing on advancements in animal production. His primary research explores the application of biomarkers and machine learning strategies for the classification of lamb carcasses, as evidenced by his publications in Food Bioscience. Additionally, he investigates the use of nutritional and organoleptic traits to differentiate lamb breeds under varying feeding regimes, contributing valuable insights into food quality and consumer preferences. Manuel’s work also encompasses studying the aromatic compound profiles of meat, particularly in native breeds such as Ovella Mallorquina lambs, examining how production models influence these profiles. Beyond his scientific endeavors, he engages in educational innovation, exploring ways to integrate technology effectively into agricultural education to enhance learning outcomes. His research underscores a dedication to advancing agricultural knowledge and improving production systems while innovating in educational practices.

Award and Honors

Manuel García-Infante has garnered notable recognition and awards throughout his career, highlighting his contributions and achievements in agricultural sciences and education. Notably, he was awarded the Best Master’s Degree in Agricultural Engineering from the Higher Technical School of Agricultural Engineering at the University of Seville for the 2020-2022 promotion. This accolade acknowledges his exceptional academic performance and leadership in the field. Manuel’s commitment to excellence is further underscored by his active involvement in research, teaching, and innovative projects, reflecting his significant impact in advancing agricultural knowledge and pedagogy.

Research Skills

Manuel García-Infante’s research skills are extensive and well-rounded, reflecting his deep expertise in agricultural sciences. He excels in experimental design, adeptly crafting studies to investigate various aspects of animal production and food quality. His proficiency in data analysis encompasses advanced statistical methods and tools like SPSS and R, enabling thorough examination and interpretation of research data. Manuel’s specialization in biomarker analysis is pivotal for evaluating meat quality and nutritional traits in lamb carcasses, leveraging his insights into agricultural product assessment. Moreover, he applies machine learning techniques proficiently, particularly in developing predictive models for lamb carcass classification, as demonstrated in his published research. His ability to effectively communicate and disseminate research findings, both through academic papers and educational podcasts, underscores his commitment to advancing agricultural knowledge and enhancing educational methodologies within the field.