Dr. Ameen Ullah | Electrical Engineering Awards | Best Researcher Award

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Dr. Ameen Ullah | Electrical Engineering Awards | Best Researcher Award

Dr. Ameen Ullah, Shenzhen University, China

Ameen Ullah is an accomplished electrical engineer from Peshawar, Pakistan, specializing in control systems and renewable energy. He earned his Master of Science in Electrical Engineering from COMSATS University Islamabad, where he focused on developing sensorless adaptive higher-order sliding mode control techniques for permanent magnet synchronous generator (PMSG) based standalone wind energy conversion systems. His thesis highlighted the importance of maximizing power extraction from variable wind speeds, showcasing his expertise in robust and intelligent control paradigms. Ameen holds a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Peshawar, where he developed a directional sound system capable of emitting sound in a narrow beam. He has authored several publications in reputable journals, including Fractal and Fractional and Applied Energy, contributing to advancements in motor drive control systems and wind energy performance. With a solid foundation in MATLAB/SIMULINK modeling and a commitment to innovative solutions in energy systems, Ameen continues to push the boundaries of research in electrical engineering.

Professional Profile:

SCOPUS

Suitability of Ameen Ullah for the Best Researcher Award

Candidate Overview: Ameen Ullah is a promising researcher in the field of Electrical Engineering, specializing in renewable energy systems and control techniques. His strong academic background, innovative research contributions, and active involvement in cutting-edge projects position him as a highly suitable candidate for the Best Researcher Award.

Education 🎓

  • Master of Science in Electrical Engineering
    COMSATS University Islamabad, Abbottabad Campus, Pakistan
    06/03/2017 – 23/07/2019
    CGPA: 3.63/4.0

    • Thesis: Sensorless Adaptive Higher Order Sliding Mode MPPT Control Techniques for PMSG based Standalone Wind Energy Conversion System.
  • Bachelor of Science in Electrical Engineering
    University of Engineering and Technology, Peshawar, Pakistan
    24/09/2012 – 15/06/2016
    CGPA: 2.95/4.0

    • Thesis: Sonic Beam-Directional Sound System.

Work Experience 💼

  • Current Position: (Not specified in CV, consider adding relevant position)
  • Previous Positions:
    • Researcher/Engineer (Details needed)

Achievements 🌟

  • Research Excellence: Contributed to advancements in wind energy conversion systems and motor control techniques.
  • Innovative Projects: Developed a directional sound system focused on improving sound delivery accuracy.

Publication Top Notes:

A comprehensive study of nano/micro fillers on silicone rubber insulators: Electrical, mechanical, and thermal characterization

Enhanced wind energy conversion system performance using fast smooth second-order sliding mode control with neuro-fuzzy estimation and variable-gain robust exact output differentiator

Robust Speed Control of Permanent Magnet Synchronous Motor Drive System Using Sliding-Mode Disturbance Observer-Based Variable-Gain Fractional-Order Super-Twisting Sliding-Mode Control

Variable-Gain Robust Exact Differentiator-Based Neuro-Adaptive Control Design for Dynamic Wind Power Optimization

Dr. Ziba Arjmandzadeh | Structural Analysis Awards | Best Researcher Award

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Dr. Ziba Arjmandzadeh | Structural Analysis Awards | Best Researcher Award 

Dr. Ziba Arjmandzadeh, The University of Oklahoma, United States

Ziba Arjmandzadeh is currently pursuing a second Ph.D. in Mechanical Engineering at the University of Oklahoma, Norman, USA, where she has maintained a GPA of 3.67/4. She previously earned her first Ph.D. in Operational Research from Semnan University in Iran, achieving an impressive GPA of 19.25/20. Ziba also holds a Master’s degree in Applied Mathematics from Shahrood University of Technology and a Bachelor’s degree in Applied Mathematics from Ferdowsi University of Mashhad. Her research focuses on reinforcement learning and optimal control-based path planning for autonomous vehicles, under the supervision of Dr. Bin Xu. Ziba’s academic interests encompass a wide range of topics, including optimal control, operational research, linear algebra, statistics, game theory, optimization, and machine learning. She is dedicated to advancing knowledge in these fields and applying her expertise to real-world challenges.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Ziba Arjmandzadeh

Ziba Arjmandzadeh is an outstanding candidate for the Best Researcher Award, given her impressive academic background and significant contributions to the fields of mechanical engineering and operational research. Currently pursuing a second Ph.D. in Mechanical Engineering at the University of Oklahoma, she has demonstrated exceptional academic performance with a GPA of 3.67/4. Her first Ph.D. in Operational Research from Semnan University reflects her strong foundation in mathematical concepts, achieving a remarkable GPA of 19.25/20.

Education 🎓

  • Second Ph.D. in Mechanical Engineering
    The University of Oklahoma, Norman, OK, USA
    2022–Present
    GPA: 3.67/4
  • First Ph.D. in Operational Research
    Semnan University, Semnan, Iran
    2011–2016
    GPA: 19.25/20
    Thesis: Random Interval Programming
    Supervisor: Dr. Mohammadreza Safi
  • Master’s in Applied Mathematics
    Shahrood University of Technology, Shahrood, Iran
    2008–2010
    GPA: 17.39/20
    Thesis: Stabilization of 2D Linear Systems Described by The Roesser Model Using The Vector Companion Form
    Supervisor: Dr. Hojjat Ahsani Tehrani
  • Bachelor’s in Applied Mathematics
    Ferdowsi University of Mashhad, Mashhad, Iran
    2004–2008
    GPA: 14.78/20

Work Experience 💼

  • Graduate Research Assistant
    The University of Oklahoma, Norman, OK, USA
    2022–Present

    • Engaged in research related to optimal control and autonomous vehicles.
  • Teaching Assistant
    Semnan University, Semnan, Iran
    2011–2016

    • Assisted in teaching courses related to operational research and applied mathematics.

Achievements 🌟

  • Published Research
    Authored multiple papers on topics such as reinforcement learning and optimal control in reputable journals and conferences.
  • Research Collaborations
    Worked on interdisciplinary projects involving machine learning applications in engineering.

Awards and Honors 🏆

  • Outstanding Graduate Student Award
    Semnan University, Semnan, Iran
    Recognized for exceptional academic performance during Ph.D. studies.
  • Best Paper Award
    [Conference Name, Year]
    Awarded for a paper presented on autonomous vehicle path planning.

Publication Top Notes:

CITED:39
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CITED:5
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Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

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Mr. Zhongzhi Li | Fault Detection Awards | Best Researcher Award

Mr. Zhongzhi Li, Fudan University, China

Zhongzhi Li, is a male graduate student specializing in Aeronautics and Astronautics at Fudan University, where he maintains a GPA of 3.41/4.0, ranking 1st among 45 students. His academic journey began at Shenyang Aerospace University, where he earned a Bachelor’s degree in Computer Science and Technology, achieving an impressive GPA of 93/100 and ranking 1st out of 155. Zhongzhi has published three first-author papers in SCI-indexed journals and has applied for a patent, reflecting his research focus on time series analysis. He has received several scholarships, including the National Scholarship and the Zhang Mingwei Inspirational Scholarship. His practical experience includes internships as an AI Engineer Intern at Huawei Technologies, where he developed predictive models for cloud services, and as an Algorithm Intern at Gotion High-tech, where he created algorithms for battery fault prediction with high accuracy. Zhongzhi also served as a student assistant at Fudan University’s Party Building Service Center and currently leads the Graduate Student Union’s Practice Department. In addition to his academic pursuits, he is an avid sports enthusiast, enjoying basketball, volleyball, and running, and has participated in several marathons, including the 2022 Shanghai Half Marathon.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for the Best Researcher Award: Zhongzhi Li

Academic Excellence and Research Experience: Zhongzhi Li demonstrates a strong academic foundation and expertise in both time series analysis and fault detection in various engineering applications. His achievements at Fudan University, where he ranks 1st out of 45 peers with a GPA of 3.41/4.0, along with his numerous scholarships (National Scholarship, Zhang Mingwei Inspirational Scholarship, etc.), reflect his academic dedication and capabilities. His undergraduate performance was equally impressive, ranking 1st out of 155 students at Shenyang Aerospace University.

Education

Fudan University
Master of Science in Aeronautics and Astronautics
Duration: September 2022 – June 2025

  • GPA: 3.41/4.0
  • Rank: 1/45
  • Scholarships: National Scholarship, Freshman Scholarship, Zhang Mingwei Inspirational Scholarship, Zhang Yongming Scholarship

Shenyang Aerospace University
Bachelor of Science in Computer Science and Technology
Duration: September 2018 – June 2022

  • GPA: 93/100
  • Rank: 1/155
  • Scholarships: National Scholarship, “Top Ten Figures of the Year” at SAU, Six Academic Excellence Scholarships, Enterprise Scholarships

Work Experience

Huawei Technologies Co., Ltd.
AI Engineer Intern, Huawei Cloud Algorithm Innovation Lab
Duration: July 2023 – August 2023

  • Analyzed current usage data on Huawei Cloud, visualizing trends in VM core counts and types using stacked area charts.
  • Developed a multimodal XAI predictive model for VM request sequence forecasting, integrating large-scale semantic information. Utilized an improved Transformer-based algorithm, achieving less than 10% prediction error on monthly and yearly scales.

Gotion High-tech Co., Ltd.
Algorithm Intern, Big Data Engineering Department
Duration: September 2022 – March 2023

  • Developed supervised and unsupervised algorithms for predicting thermal runaway faults in lithium and ternary lithium batteries, achieving detection accuracy above 95%.
  • Proposed an improved thermal runaway detection algorithm using Stacking, achieving nearly 100% accuracy, which was successfully deployed on Alibaba Cloud PAI.

Dongguan Securities Co., Ltd.
Research Intern, Quantitative Investment Department
Duration: May 2022 – August 2022

  • Managed FTP data downloads (30GB) using verification scripts to tackle large data volume and speed limits.
  • Conducted stock data preprocessing and historical data analysis with Python and C++. Practiced basic quantitative investment strategies, including dual moving average, multi-factor stock selection, Bollinger Bands, and PEG strategies.

Fudan University Party Building Service Center
Student Assistant
Duration: September 2022 – July 2023

Fudan University Department of Aeronautics and Astronautics
Head of Graduate Student Union Practice Department / Office Assistant
Duration: September 2023 – September 2024

Publication top Notes:

CITED:83
CITED:57
CITED:56
CITED:30
CITED:21
CITED:21

 

Reza Shokri | Neural Recording | Best Paper Award

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Mr. Reza Shokri | Neural Recording | Best Paper Award

PhD at University of Genova, Italy

Reza Shokri, born in July 1992, is an accomplished electrical engineer specializing in integrated circuit design and biomedical applications. With a strong academic background and a passion for innovation, Reza has consistently excelled in his field, demonstrating leadership through both research and teaching roles. Currently pursuing his PhD at the University of Genova, he continues to develop cutting-edge technologies that bridge the gap between engineering and medicine. Reza’s work is characterized by its relevance to neural recording systems, showcasing his commitment to improving healthcare through engineering solutions.

Profile:

ORCID Profile

Strengths for the Award:

  1. Outstanding Academic Performance: Reza has demonstrated exceptional academic achievement, being ranked 2nd in a highly competitive PhD entrance exam in Iran, and 65th among over 30,000 participants in the MSc entrance exam. This reflects both his intellect and dedication to his field.
  2. Diverse Research Experience: His research spans critical areas such as DC-DC converters, low-power biomedical ADCs, and neural recording systems. This breadth showcases his versatility and ability to tackle complex problems in engineering.
  3. Significant Contributions to Publications: Reza has authored and co-authored several noteworthy publications, including articles in reputable journals and conference proceedings. His work on a VCO-based ADC for neural recording applications indicates a strong focus on practical and impactful research.
  4. Teaching and Mentoring: His experience as a teaching assistant at reputable institutions highlights his ability to communicate complex concepts and contribute to the education of future engineers.
  5. Relevant Work Experience: His professional roles in both academic and industrial settings, particularly in designing analog integrated circuits for biomedical applications, demonstrate practical skills and a commitment to applying research in real-world contexts.
  6. Collaborative Research Efforts: Reza has effectively collaborated with multiple researchers and professors, indicating strong teamwork skills and an ability to contribute to multidisciplinary projects.

Areas for Improvement:

  1. Language Proficiency: While Reza has an intermediate level of English, enhancing his proficiency could improve his ability to engage with a broader international audience and contribute to global research discussions.
  2. Broader Impact Assessment: Although his research is innovative, focusing more on the societal and economic impacts of his work could enhance its relevance and applicability.
  3. Networking and Conferences: Increasing participation in international conferences and workshops can provide Reza with more opportunities to present his work, receive feedback, and establish connections with other researchers.
  4. Leadership Roles: Pursuing leadership positions in research groups or committees could help him develop skills in project management and strategic planning.

Education:

Reza began his academic journey in Electrical Engineering at Tabriz University, earning his BSc with a thesis on “Implementation of Digital Pen with an Accelerometer.” He later pursued an MSc at the University of Tehran, focusing on circuit design for neural recording systems. His commitment to furthering his expertise led him to the University of Genova, where he is currently working towards a PhD. His education has equipped him with a solid foundation in both theoretical knowledge and practical skills, essential for addressing complex engineering challenges.

Experience:

Reza’s professional experience spans multiple roles in both academic and industry settings. He currently works as an Analog Integrated Circuit Designer at the University of Tehran, focusing on the design and layout of multipolar waveform stimulators for deep brain stimulation systems. Previously, he served as a Hardware Designer at Niktek Company, where he designed a high-resolution arbitrary waveform stimulator. His experience also includes significant projects on DC-DC converters and automotive control modules, showcasing his versatile engineering skills and commitment to advancing technology in biomedical applications.

Awards and Honors:

Reza has received numerous accolades for his academic and research excellence. He ranked 2nd out of over 1500 participants in the Electrical Engineering PhD Entrance Exam in Iran and achieved 65th among more than 30,000 in the MSc Entrance Exam. These accomplishments reflect his dedication and proficiency in electrical engineering. Reza’s commitment to advancing knowledge in his field has not only earned him recognition but also inspires his peers and future engineers to strive for excellence.

Research Focus:

Reza’s research focuses on the intersection of electrical engineering and biomedical applications, particularly in neural recording and stimulation systems. His work includes the design of low-power, high-performance analog-to-digital converters and DC-DC converters tailored for biomedical applications. He is also exploring quantum phase estimation algorithms, reflecting his innovative approach to addressing modern engineering challenges. Reza’s research aims to enhance medical technologies and improve patient outcomes, contributing significantly to the field of biomedical engineering.

Publication Top Notes:

  • A Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • Highly Linear, Digital OTA With Modified Input Stage
  • Multipolar Stimulator for DBS Application with Concurrent Imbalance Compensation
  • A Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications
  • A Buck Converter Based on Dual Mode Asynchronous Pulse Width Modulator

Conclusion:

Reza Shokri possesses the qualifications, research experience, and academic achievements that make him a strong candidate for the Best Researcher Award. His dedication to advancing knowledge in electrical engineering, particularly in biomedical applications, is commendable. By addressing areas for improvement, such as enhancing language skills and increasing networking opportunities, Reza can further amplify his contributions to the field and increase his impact as a researcher. His potential for future innovation and leadership in electrical engineering positions him as a valuable asset to the academic and scientific community.

Yoshinori Otsuki | Gas Analysers | Best Researcher Award

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Mr. Yoshinori Otsuki | Gas Analysers | Best Researcher Award

Department Manager at HORIBA, Ltd., Japan 

Yoshinori Otsuki, born on April 25, 1979, in Japan, is a seasoned engineer specializing in automotive emissions measurement systems. With over 20 years of experience at HORIBA, LTD., he has played pivotal roles ranging from electrical designer to department manager. Otsuki’s extensive expertise encompasses particulate measurement and sampling systems, where he has led numerous successful projects, collaborating with global automotive OEMs and research institutes. His contributions to the field have earned him recognition as a thought leader in emissions regulations and measurement technology. As a dedicated member of various engineering societies, he actively shares knowledge through presentations at international conferences.

Profile:

Strengths for the Award:

  1. Extensive Experience: Yoshinori Otsuki has over 19 years of experience in research and development, particularly in particulate measurement and sampling systems within the automotive sector. His roles have evolved from an Electrical Designer to a Department Manager, showcasing his growth and leadership capabilities.
  2. Innovative Contributions: He has been involved in the development of multiple products, leading projects and coordinating with automotive OEMs and research institutions. His work on emissions measurement systems reflects a commitment to innovation and industry advancement.
  3. Patents and Publications: Otsuki holds several patents related to emissions measurement and particle counting systems, demonstrating his ability to contribute original ideas to the field. His numerous publications, particularly in prestigious journals, underline his active engagement in research and his contributions to academic discourse.
  4. Global Collaboration: His experience managing global R&D teams, particularly in Europe and Japan, indicates strong collaborative skills and the ability to work in diverse environments. His participation in international working groups and conferences further illustrates his commitment to cross-border research initiatives.
  5. Technical Expertise: With a strong academic background (Bachelor’s and Master’s in Engineering) and proficiency in both Japanese and English, Otsuki combines technical knowledge with effective communication skills, making him a valuable asset in both research and practical applications.

Areas for Improvement:

  1. Broader Engagement with Emerging Technologies: While Otsuki has made significant contributions in his current domain, exploring emerging technologies related to environmental sustainability and alternative energy sources could enhance his research portfolio and relevance in evolving markets.
  2. Networking Beyond Automotive Sector: Expanding his professional network to include researchers and industry experts from fields such as renewable energy, battery technology, or environmental policy could provide new perspectives and collaborative opportunities that may enrich his research endeavors.
  3. Enhanced Visibility in Public Forums: Increasing his participation in public forums or media discussions related to emissions and environmental impact could elevate his profile and influence in the industry, promoting awareness of his research contributions and fostering public understanding of automotive emissions issues.

Education:

Yoshinori Otsuki holds a Bachelor of Engineering from Doshisha University, obtained in March 2002, followed by a Master of Engineering from Kyoto University, completed in March 2004. His educational background in electronic engineering has equipped him with a strong foundation in circuit design and analytical systems. These qualifications have been instrumental in his career, enabling him to develop innovative solutions in automotive emissions measurement and research. Otsuki’s commitment to continuous learning and professional development is evident in his active participation in workshops and conferences related to automotive engineering and environmental science.

Experience:

Yoshinori Otsuki’s professional journey began at HORIBA, LTD. in 2004, where he progressed through various roles. Starting as an Electrical Designer, he quickly transitioned to Automotive Analytical Engineer, leading the development of particulate measurement systems. His leadership roles include R&D Team Leader and Manager of European Product Managers, where he oversaw teams focused on emissions measurement systems. Currently, as Department Manager, he manages R&D teams working on gas and particle analyzers. Otsuki’s experience includes collaboration with automotive OEMs, coordination of research projects, and participation in international working groups, highlighting his expertise and commitment to advancing automotive technologies.

Research Focus:

Yoshinori Otsuki’s research focuses on the measurement of particulate matter and emissions in automotive systems. He is particularly interested in developing innovative methodologies for solid particle number measurement and the analysis of gas emissions. His work addresses emerging regulations such as Euro 7, ensuring compliance and environmental sustainability. Otsuki actively participates in international research collaborations, contributing to projects like HORIZON2020’s PEMs4Nano. Through his publications and presentations, he aims to advance understanding and technologies related to emissions measurement, influencing industry standards and practices in automotive engineering.

Publications Top Notes:

  1. Instability of emery oil particle for 10 nm engine exhaust CPC calibration
  2. Technical Improvements of Portable Emissions Measurement System for Solid Particle Number Larger than 10 nm
  3. Development of On-board Multi-component Gas Analyzer Toward Euro 7
  4. Investigation of Equivalency between Laboratory-Grade and Portable Emissions Measurement Systems in Solid Particle Number Measurement Larger than 10 nm
  5. Measurement of Gaseous Exhaust Emissions of Light-Duty Vehicles in Preparation for Euro 7: A Comparison of Portable and Laboratory Instrumentation
  6. Towards tailpipe sub-23 nm solid particle number measurements for heavy-duty vehicles regulations
  7. Reproducibility of the 10-nm Solid Particle Number Methodology for Light-Duty Vehicles Exhaust Measurements
  8. Assessment of On-Board and Laboratory Gas Measurement Systems for Future Heavy-Duty Emissions Regulations
  9. Single vs Double Stage Partial Flow Dilution System: Automobile PM Emission Measurement

Conclusion:

Yoshinori Otsuki is a highly qualified candidate for the Research for Best Researcher Award. His extensive experience, innovative contributions, and global collaboration make him a standout researcher in the field of automotive emissions measurement. While there are areas for improvement, particularly in expanding his engagement with emerging technologies and enhancing his public profile, his strengths overwhelmingly position him as a deserving recipient of this award. His continued contributions will undoubtedly have a significant impact on both the automotive industry and environmental research.

Amirreza Mehrabi | Engineering Education | Best Researcher Award

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Mr. Amirreza Mehrabi | Engineering Education | Best Researcher Award

Researcher at Purdue, United States

Amirreza Mehrabi is a dedicated Ph.D. candidate in Engineering Education at Purdue University, specializing in cognitive fatigue modeling during examinations. With a strong interdisciplinary background in engineering and education, he combines advanced statistical methods and machine learning to optimize assessment strategies. A passionate advocate for innovative educational practices, Amirreza actively engages in research that enhances student learning experiences. His leadership roles include heading the ASEE student chapter at Purdue and contributing to the Purdue Graduate Student Government. Amirreza’s commitment to excellence is reflected in his numerous publications and contributions to engineering education.

Profile:

Strengths for the Award:

  1. Academic Excellence:
    • Amirreza’s impressive GPA of 3.94 in his Ph.D. program demonstrates a strong academic foundation and commitment to excellence in his field.
  2. Diverse Research Contributions:
    • His research encompasses various innovative topics such as cognitive fatigue modeling, computer adaptive testing, and the impacts of COVID-19 on education. This breadth indicates versatility and relevance in current educational challenges.
  3. Publication Record:
    • Amirreza has authored multiple papers and book chapters, including works in notable journals and conference proceedings, showcasing his ability to contribute significantly to academic discourse.
  4. Leadership and Engagement:
    • Serving as the head of the ASEE student chapter and a PR team member reflects strong leadership skills and a commitment to fostering community within the academic environment.
  5. Recognition and Awards:
    • His receipt of prestigious awards, including the GOLD medal at the Industrial Engineering Olympiad, highlights his exceptional capabilities and recognition among peers.
  6. Collaborative Projects:
    • Participation in significant research projects, such as the NSF-funded CD_CAT project, underscores his collaborative spirit and ability to work on impactful initiatives.
  7. Teaching and Mentoring Experience:
    • His roles as a teaching assistant and mentor indicate his dedication to education and the development of future engineers.

Areas for Improvement:

  1. Broader Impact of Research:
    • While Amirreza’s work is innovative, articulating the broader implications of his research for industry and educational policy could enhance its impact and visibility.
  2. Networking and Collaboration:
    • Increasing engagement with interdisciplinary teams or broader academic networks may lead to richer collaborations and new research perspectives.
  3. Public Outreach:
    • More initiatives focused on translating research findings into practice or engaging with the community could amplify his research’s societal impact.
  4. Presentation Skills:
    • Continuing to refine presentation skills at conferences will ensure his research is communicated effectively and reaches diverse audiences.

Education:

Amirreza Mehrabi is pursuing a Ph.D. in Engineering Education at Purdue University, with an expected graduation in 2027. He holds a Master’s degree in Electronic and Computer Engineering from Purdue and another in Engineering Education from the University of Tehran, where he graduated with a perfect GPA. His undergraduate degree in Industrial Engineering was obtained from Sharif University of Technology, where he developed a strong foundation in engineering principles. His academic journey is marked by rigorous research and a focus on the application of advanced statistical methodologies to improve educational outcomes.

Experience:

Amirreza has substantial research experience, currently working on the CD_CAT project at Purdue University, where he assists in implementing computer adaptive testing. His work involves designing models to assess cognitive fatigue and applying machine learning techniques to optimize educational assessments. Previously, he served as a data analyst for the Erasmus Plus Project, collaborating with several Iranian universities. Additionally, Amirreza has volunteered on various research initiatives focused on online learning preferences and educational innovation. His teaching experience includes mentoring first-year PhD students and serving as a teaching assistant for multiple engineering courses.

Awards and Honors:

Amirreza’s accomplishments include receiving the prestigious GOLD medal in the Industrial Engineering Olympiad in Iran, a testament to his academic excellence. He has also been recognized as the first-ranked student in Engineering Education in Iran by UNESCO. At Purdue, he leads the ASEE student chapter and has earned a $1,000 travel grant for conference participation. His dedication to engineering education and research has garnered him recognition in various forms, including the ENERGY GLOBE National Award for innovative supply chain management in agriculture.

Research Focus:

Amirreza’s research primarily explores cognitive fatigue in engineering education, utilizing methods such as pupil dilation and MRI analyses. He investigates how cognitive fatigue affects student performance during assessments, aiming to develop adaptive testing strategies that enhance learning outcomes. His work includes the application of machine learning techniques to create dynamic assessment tools that respond to students’ cognitive states. By focusing on innovative educational practices, Amirreza aims to contribute significantly to the field of engineering education and improve the overall learning experience for students.

Publications Top Notes:

  • Investigating and predicting the Cognitive Fatigue Threshold as a Factor of Performance Reduction in Assessment.
  • AI Skills-based Assessment Tool for Identifying Partial and Full-Mastery within Large Engineering Classrooms.
  • AI-Based Concept Inventories: Using Cognitive Diagnostic Computer Adaptive Testing in LASSO for Classroom Assessment.
  • AI-Enhanced Decision-Making for Course Modality Preferences in Higher Engineering Education during the Post-COVID-19 Era.
  • Optimizing Maximum Likelihood Estimation in Performance Factor Analysis: A Comparative Study of Estimation Methods.
  • A new semi-empirical wind turbine capacity factor for maximizing annual electricity and hydrogen production.

Conclusion:

Amirreza Mehrabi is an exemplary candidate for the Research for Best Researcher Award, demonstrating exceptional academic performance, a diverse range of impactful research, and strong leadership qualities. His contributions to engineering education and commitment to innovation position him as a valuable asset to the academic community. With slight improvements in outreach and collaboration, Amirreza can further enhance the impact of his research. Awarding him this recognition would not only honor his achievements but also encourage continued excellence and innovation in engineering education.

Dr. Meriam lahsaini | Hydraulic Engineering | Women Researcher Award

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Dr. Meriam lahsaini | Hydraulic Engineering | Women Researcher Award 

Dr. Meriam lahsaini, CNR, Italy,

Meriam Lahsaini is a highly skilled professional with extensive experience in geospatial data management, environmental monitoring, and remote sensing applications. Born on May 2, 1988, in Morocco, she currently resides in Ferrara, Italy. Meriam holds a key consultancy role at the European Commission’s Joint Research Centre (JRC) in the Knowledge Centre of Earth Observation (KCEO), where she contributes to the wetland project by mapping wetlands across Europe and developing information systems. She has also held multiple post-doctoral research positions at esteemed institutions such as CNR-IGG, CNR-IMAA, and CNR-IRPI in Italy, focusing on database design, satellite data analysis, and environmental monitoring systems.In her professional journey, Meriam has demonstrated expertise in developing atmospheric correction algorithms for optical images, creating conceptual and logical models for geospatial databases, and implementing WebGIS interfaces for spatial data visualization. Her work at Sidi Mohamed Ben Abdellah University in Morocco involved managing natural risk data and developing interactive web cartographic interfaces for flood risk management. She has also provided her GIS analytical skills to Wed Etude Marocco srl and Maroc-Ingenov Morocco srl, enhancing their spatial and urban analysis services. Meriam’s diverse experience reflects her proficiency in using advanced geospatial technologies and her dedication to environmental research and data management.

Professional Profile:

 

GOOGLE SCHOLAR

 

EDUCATION

  • Ph.D. in Environmental Sciences
    • Institution: CNR-IMAA (National Research Council – Institute of Methodologies for Environmental Analysis), Tito Scalo, Italy
    • Title of Thesis: Development of a modular monitoring system for inland and coastal water quality based on satellite data.
    • Project: IDEWA – Irrigation and Drainage monitoring by remote sensing of Ecosystems and Water resources management.

PROFESSIONAL EXPERIENCE

01/10/2023 – Present

  • Consultant at European Commission – JRC
    • Joint Research Centre, Knowledge Centre of Earth Observation (KCEO), Ispra, Italy
    • Activities:
      • Working on the wetland project for mapping wetlands across Europe and implementing an information system.
      • Writing technical reports for certification by Member States.
      • Working on URDB database to identify requirements for all directorates in the European Commission.
      • Creating surveys for data collection and glossaries.
      • Developing frontend interfaces for data visualization.

01/06/2023 – 31/05/2024

  • Post-Doctoral Researcher
    • CNR-IGG (National Research Council – Institute of Geosciences and Earth Resources), Pisa, Italy
    • Title: “Design, implementation, and management of a database, including geographical data, and its interface for visualization and interrogation.”
    • Activities:
      • Establishing a database for the Geothermal Infrastructure in Tuscany using INSPIRE UML models.
      • Creating conceptual models (CM) in Enterprise Architect.
      • Developing logical models (LM) in PostgreSQL using DBeaver.
      • Implementing the database (DB) and creating SQL queries.
      • Designing and implementing frontend using Streamlit apps.
      • Creating interfaces using HTML and CSS.
      • Implementing WebGIS for spatial data visualization (e.g., wells, geothermal power plants, monitoring stations).

01/09/2022 – 31/05/2023

  • Post-Doctoral Researcher
    • CNR-IMAA (National Research Council – Institute of Methodologies for Environmental Analysis), Tito Scalo, Italy
    • Title: “Development of a modular monitoring system for inland and coastal water quality based on satellite data.”
    • Project: IDEWA – Irrigation and Drainage monitoring by remote sensing of Ecosystems and Water resources management.

 

Publication top Notes:

Modelisation Hydraulique Mono Dimensionnel Par HEC RAS, Application Sur L’oued Aggay (Ville De Sefrou)

CITED : 8

Importance of Geological Map Updates in Engineering Geology, Application to the Rif-Chain and Its Foreland (Northern Morocco)

CITED : 4

Neotectonic and mass movements on the new Fez-Taza highway (Northern Morocco)

CITED : 3

Flood susceptibility mapping using SAR data and machine learning algorithms in a small watershed in northwestern Morocco

CITED : 2

Standardized Database for Flood Risk Management in Morocco

CITED : 2