Tag: Intelligent Systems Award

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

📍 B.S. in Telecommunication Engineering
National Chiao Tung University, Hsinchu, Taiwan – 1982
📍 M.S. in Telecommunication Engineering
National Chiao Tung University, Hsinchu, Taiwan – 1986
🌎 Ph.D. in Electrical and Computer Engineering
University of Arizona, Tucson, USA – 1993

💼 Work Experience

👨‍🏫 Distinguished Professor
Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
– Current

🌟 Key Achievements

🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)
🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems
🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges
📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

🥇 Recognized as a Distinguished Professor at NYUST
🏆 Multiple accolades and recognitions for industry collaboration and academic excellence
🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Assist. Prof. Dr. Hossein Bagherpour | Machine Learning Awards | Best Researcher Award

Posted on 11/06/2025 by ScienceFather

Assist. Prof. Dr. Hossein Bagherpour | Machine Learning Awards | Best Researcher Award

Assist. Prof. Dr. Hossein Bagherpour, Department of Biosystems Engineering, Bu-Ali Sina Universit, Iran

Dr. Hossein Bagherpour is an accomplished Assistant Professor in the Department of Biosystems Engineering at Bu-Ali Sina University, where he has served since 2013. Holding a Ph.D. and M.Sc. in Biosystems and Agricultural Machinery Engineering from Tarbiat Modares University and a B.Sc. in Mechanical Engineering from the University of Tehran, his interdisciplinary expertise bridges advanced engineering with agricultural innovation. Dr. Bagherpour is a leading researcher in the application of artificial intelligence and machine vision in precision agriculture, with a focus on plant disease detection, crop quality assessment, and robotic harvesting. He has supervised multiple Ph.D. and M.Sc. theses on deep learning, image processing, and AI-driven diagnostics for crops like rose, wheat, hazelnut, and quince. His contributions significantly advance smart farming technologies, offering solutions for enhanced productivity and sustainable agriculture in small and large-scale systems.

Professional Profile:

Summary of Suitability for Best Researcher Award – Dr. Hossein Bagherpour

Dr. Hossein Bagherpour is an exemplary candidate for the Best Researcher Award, recognized for his pioneering work at the intersection of biosystems engineering, artificial intelligence, and precision agriculture. As an Assistant Professor at Bu-Ali Sina University since 2013, Dr. Bagherpour has made significant contributions to the development and application of intelligent systems in agricultural automation and food quality assessment.

🎓 Education

🧪 Ph.D. in Biosystems Engineering – Tarbiat Modares University, Tehran, Iran
🚜 M.Sc. in Agricultural Machinery Engineering – Tarbiat Modares University, Tehran, Iran
⚙️ B.Sc. in Mechanical Engineering (Design of Machinery) – University of Tehran, Tehran, Iran

🏢 Work Experience

👨‍🏫 Assistant Professor, Department of Biosystems Engineering, Bu-Ali Sina University (2013–Present)
- 📍 Faculty of New Agriculture, Room 207
- 📍 Business Incubator Center No. 2, Room 7

🏆 Achievements & Contributions

📊 Supervised numerous Ph.D. and M.Sc. theses focusing on AI, deep learning, and smart agricultural systems
🤖 Developed algorithms for robotic harvesting, crop disease detection, and quality inspection using machine learning and computer vision
📚 Published multiple research papers (see Google Scholar) in areas such as AI-based phenotyping, intelligent sensors, and agricultural robotics

🎖 Awards & Honors

🌟 Recognized for advancing smart agriculture through AI integration
🧠 Leader in AI-driven research in agricultural biosystems

Publication Top Notes:

Hyperparameter Optimization of ANN, SVM, and KNN Models for Classification of Hazelnuts Images Based on Shell Cracks and Feature Selection Method

Enhancing the Performance of YOLOv9t Through a Knowledge Distillation Approach for Real-Time Detection of Bloomed Damask Roses in the Field

Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases

Detection of different adulteration in cinnamon powder using hyperspectral imaging and artificial neural network method

Design, Construction, and Evaluation of a Precision Vegetable Reaper to Use in Small Plots

A New Method to Optimize Deep CNN Model for Classification of Regular Cucumber Based on Global Average Pooling

Dr. B. Harichandana | Internet of Things | Best Researcher Award

Posted on 16/04/202516/04/2025 by ScienceFather

Dr. B. Harichandana | Internet of Things | Best Researcher Award

Dr. B. Harichandana, Srinivasa Ramanujan Institute of Technology, India

Dr. B. Hari Chandana is an Associate Professor in the Department of Computer Science and Engineering at Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh, India. With over 18 years of teaching experience, she has held academic positions at reputed institutions including Sir C.V. Raman Institute of Technology and Sciences and Nalanda Degree College. She earned her Ph.D. in Computer Science and Technology from Sri Krishnadevaraya University, where her research focused on image processing, specifically the recognition of Indian currency based on texture classification using SVM classifiers. She also holds an M.Tech in Information Technology from Karnataka State Open University and an M.Sc. in Computer Science from Sri Krishnadevaraya University. Dr. Chandana has qualified both the UGC-NET and the AP-SET in Computer Science and Applications, reflecting her strong academic proficiency. Passionate about research and emerging technologies, she continues to contribute to the fields of computer science and image processing through teaching, mentoring, and scholarly work.

Professional Profile:

Exploring the frontiers of user experience design: Vr, ar, and the future of interaction

Summary of Suitability for Best Researcher Award

Dr. B. Hari Chandana, an accomplished academic with over 18 years of teaching and research experience, is a strong and deserving candidate for the Best Researcher Award. Her career reflects a consistent commitment to advancing the fields of Computer Science, Image Processing, and Artificial Intelligence, as well as mentoring the next generation of researchers and professionals.

🎓 Education Qualifications

🧠 Ph.D. in Computer Science & Technology
📅 2016–2020
🏫 Sri Krishnadevaraya University, Anantapur, Andhra Pradesh
📌 Research Area: Image Processing
📜 Thesis: Security Features of Indian Currency Recognition Based on Texture Classification Using SVM Classifier
💻 M.Tech in Information Technology
📅 2012–2014
🏫 Karnataka State Open University, Mysore
🏅 Division: Distinction (84.12%)
🧑‍💻 M.Sc. in Computer Science
📅 2004–2006
🏫 Sri Krishnadevaraya University, Anantapur
🏅 Division: Distinction (82.4%)

💼 Professional Experience

👩‍🏫 Associate Professor, Dept. of Computer Science & Engineering
🏫 Srinivasa Ramanujan Institute of Technology (Autonomous), Anantapur, Andhra Pradesh
📅 2021 – Present
👩‍🏫 Assistant Professor, Dept. of CSE
🏫 Sir C.V. Raman Institute of Technology and Sciences
📅 June 2013 – March 2016
👩‍🏫 Lecturer, Dept. of Computer Science
🏫 Nalanda Degree College, Anantapur
📅 June 2006 – May 2013
📚 PG Classes Instructor (During Ph.D.)
🏫 Sri Krishnadevaraya University
📅 2016–2020

🕰️ Total Teaching Experience: 18+ Years

🏆 Achievements & Qualifications

✅ Qualified NET (National Eligibility Test)
📅 June 2020
🖥️ Subject: Computer Science & Applications
✅ Qualified AP-SET (Andhra Pradesh State Eligibility Test)
📅 2019
🖥️ Subject: Computer Science & Applications

Publication Top Notes:

CITED:9

Introduction of virtual environment with personalized content recommendation for realistic avatar creation in online platform using machine learning

CITED:4

Convolution neural network based enhanced computerized technique for brain tumour detection

CITED:2

Integrating Machine Learning for Soil Pollution Prediction And Avoidance: A Comprehensive Framework for Sustainable Land Management

CITED:1

Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro-and Macro-analysis in Hardware Support Packages

CITED:1

HIDDEN SECURITY FEATURES FOR THE RECOGNITION OF FAKE CURRENCY.

CITED:1

Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award

Posted on 15/04/2025 by ScienceFather

Mr. Koagne Silas | Neural Networks | Pioneer Researcher Award

Mr. Koagne Silas, University of Dschang, Cameroon

KOAGNE LONGPA TAMO Silas is a Cameroonian researcher and Ph.D. student in Physics at Dschang State University, specializing in medical physics with a strong focus on automation and applied computer science. His academic background spans both physics and electrical engineering, with degrees from the University of Dschang and the University of Bamenda, where he developed expertise in embedded systems, analog artificial neural networks, and electronics. Silas has extensive experience in microcontroller programming, analog and digital circuit simulation, and tools such as MATLAB, Arduino, Proteus, and Cadence Virtuoso. In addition to his research, he has served as an electronics teacher at various technical colleges and as a junior lecturer in computer science. His hands-on experience includes internships in electronics maintenance and electrical network installation. A bilingual communicator in English and French, Silas is known for his leadership, creativity, and commitment to advancing applied technologies in medical physics.

Professional Profile:

🏅 Summary of Suitability Pioneer Researcher Award

KOAGNE LONGPA TAMO Silas is an emerging research talent in the field of medical physics and electronics, demonstrating a rare combination of early innovation, technical depth, and applied problem-solving across interdisciplinary domains. As a Ph.D. candidate with an M.Sc. specialization in analog artificial neural networks for medical applications, Silas is pioneering research at the intersection of electronics, embedded systems, and health technologies, aligning closely with the spirit of the Pioneer Researcher Award.

🎓 Education Background

Ph.D. in Physics (Medical Physics) – Dschang State University, Cameroon (📅 Dec 2022 – Present)
- 🧠 Research Focus: Analog Artificial Neural Networks
- 👨‍🏫 Supervisor: Prof. Geh Wilson Ejuh
M.Sc. in Physics, Electronics Speciality – Dschang State University, Cameroon (📅 July 2022)
- 📘 Thesis: Specification and implementation of multilayer perceptron analog artificial neural networks
- 👨‍🏫 Supervisor: Dr. Djimeli Tsajio Alain B.
B.Sc. in Physics – Dschang State University, Cameroon (📅 Aug 2021)
DIPET 2 in Electronics – University of Bamenda (📅 July 2020)
- 🛰 Dissertation: Design and implementation of a digital breath alcohol detection system with SMS alert and vehicle tracking
DIPET 1 in Electronics – University of Bamenda (📅 Aug 2018)
- 🚪 Project: RFID-based electronic attendance system with automatic door unit
GCE A/L – Government Bilingual High School, Mbouda (📅 July 2015)
GCE O/L – Government Bilingual High School, Mbouda (📅 June 2013)
FSLC – Ecole Primaire Bilingue de la Promotion, Mbouda (📅 June 2008)

💼 Work Experience

Electronics Teacher – Government Technical College Ngombo-ku, Cameroon (📅 Jan 2021 – Present)
Junior Lecturer in Computer Science – Higher Technical Teacher Training College Bambili (📅 2019–2020)
Electronics Teacher – Government Technical High School Bambui (📅 2017–2018)
Internship – Electronics & Maintenance
- 📍 HYTECHS, Yaoundé (📅 2019)
- 🔧 Worked on printer maintenance & installation
Internship – Electrical Network Installation
- 📍 MEECH CAM Sarl, Yaoundé (📅 2016)
- ⚡ Focus on underground cable installation and high voltage network

🏆 Achievements & Awards

✅ Successfully designed and implemented:
- 🤖 An analog artificial neural network (M.Sc. Thesis)
- 🚘 A breath alcohol detection system with GPS and SMS alerts
- 🛂 An RFID-based attendance system with automated doors
📚 Published and presented academic work in medical physics and embedded systems
👨‍🏫 Contributed to higher education through teaching and mentoring roles across several institutions
🎓 Admitted to Ph.D. program based on excellent academic performance
💻 Advanced skills in MATLAB, Arduino, MikroC, Cadence Virtuoso, PSPICE & Proteus
🗣️ Bilingual in English and French – great asset for teaching and collaboration

Publication Top Notes:

Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks

Mr. Xi Tianyu | Automation Award | Best Researcher Award

Posted on 06/03/2025 by ScienceFather

Mr. Xi Tianyu | Automation Award | Best Researcher Award

Mr. Xi Tianyu, Northeastern University, China

Dr. Xi Tianyu is a professor and doctoral supervisor at the Northeastern University School of Architecture, specializing in sustainable architecture, architectural technology, and green living. He has led over 10 national and provincial research projects, published more than 50 papers, and holds three authorized patents. He has contributed to national and industry standards, authored textbooks, and received multiple awards for teaching and research excellence. Dr. Xi is actively involved in several professional committees, including the China Urban Science Research Association and the China Engineering Construction Standardization Association, and is a member of international organizations such as ISIAQ and AIJ.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Xi Tianyu is a highly accomplished researcher in sustainable architecture, with extensive contributions to green building technologies, energy conservation, and thermal comfort optimization. His leadership in over 10 national and provincial research projects, along with 50+ published papers and multiple patents, demonstrates his strong research impact. His involvement in national standards development, textbook authorship, and architectural design competitions further highlights his influence in academia and industry. Given his outstanding research, academic leadership, and numerous accolades, Dr. Xi Tianyu is a highly suitable candidate for the Best Researcher Award.

📚 Education & Work Experience

🎓 Doctor of Engineering
🏫 Professor & Doctoral Supervisor at Northeastern University School of Architecture

🏆 Achievements

🔬 Led 10+ research projects (national, provincial, and local), including:

🇨🇳 National Natural Science Foundation Key Project sub-projects
🎯 National Natural Science Foundation Youth Fund

📄 Published 50+ research papers
📜 3 authorized patents
📘 Co-authored 5 national & industry standards
📖 Contributed to 2 textbooks & authored 1 book (funded by National Publishing Fund)

🎨 Guided 10+ international & domestic architectural design competitions, winning:
🥇 Gu Yu Cup First Prize
🏅 AIM Cup Special Prize
🥉 China Habitat Environment Design Annual Award Bronze Award (2023)

🎖️ Awards & Honors

🏆 Northeastern University Teaching Achievement Awards:

🥇 First Prize (2024)
🥈 Second Prize (2022)
🎓 Excellent Teaching Plan Award
📜 Excellent Homework Guide Award
📖 Excellent Paper Award (Chinese Higher Education Architecture Teaching Guidance Committee)

Publication Top Notes:

Analysis of the Characteristics of Heat Island Intensity Based on Local Climate Zones in the Transitional Season of Shenyang

Optimization of Residential Indoor Thermal Environment by Passive Design and Mechanical Ventilation in Tropical Savanna Climate Zone in Nigeria, Africa

A preliminary study of multidimensional semantic evaluation of outdoor thermal comfort in Chinese

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

A Review of Thermal Comfort Evaluation and Improvement in Urban Outdoor Spaces

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award

Posted on 03/03/2025 by ScienceFather

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award

Dr. Kianoosh Boroojeni, Florida International University, United States

Dr. Kianoosh Boroojeni is an Associate Teaching Professor at the Knight Foundation School of Computing & Information Sciences, Florida International University (FIU). He earned his Ph.D. and M.S. in Computer Science from FIU and a B.Eng. in Computer Engineering from the University of Tehran. His research interests include cybersecurity, generative AI in computer science education, STEM education, and computer networks. With over 50 scientific publications and more than 1,150 citations, Dr. Boroojeni has made significant contributions to his field. He has played a pivotal role in integrating AI-powered tools into computer science education and has collaborated with Google to enhance programming courses. His leadership extends to overseeing programming gateway courses, developing cybersecurity curricula, and promoting inclusive computing education. He has received multiple teaching recognitions and actively mentors students.

Professional Profile:

Summary of Suitability for Best Researcher Award – Kianoosh Boroojeni

Dr. Kianoosh Boroojeni is a highly accomplished researcher and educator in cybersecurity, AI in education, and computer networks, making him a strong candidate for the Best Researcher Award. His academic background, extensive research contributions, and leadership in integrating AI into education highlight his impact in the field.

Education 📚

Ph.D., Computer Science – Florida International University, USA (2017)
M.S., Computer Science – Florida International University, USA (2016)
B.Eng., Computer Engineering – University of Tehran, Iran (2012)

Work Experience 💼

🔹 Associate Teaching Professor – Florida International University (2023 – Present)

Leads Programming Gateway Committee to improve programming course success rates 📊
Collaborates with Google to integrate Generative AI in CS education 🤖
Chairs Faculty & Staff Awards Committee in the College of Engineering & Computing 🏆
Supports intensive programming courses like CS I, II & III, Data Structures, and OS 💾

🔹 Assistant Teaching Professor – Florida International University (2017 – 2023)

Taught 16+ undergraduate courses and 4 graduate/Ph.D. courses 🏫
Developed new cybersecurity courses on Blockchains 🔐
Led Google’s Tech-Exchange Program to recruit Hispanic & Black students into Google workforce 🌍
Designed and improved online courses to achieve Quality Matters (QM) Certifications ✅
Achieved high student evaluations (4.6/5.0 overall) 📈

🔹 Post-Doctoral Fellow – Florida International University (Spring & Summer 2017)

Conducted DoD-funded research on network security & privacy 🔎
Mentored students in NSF-sponsored Research Experience program 👨‍🏫

🔹 Graduate Assistant – Florida International University (2012 – 2017)

Assisted faculty in teaching & grading multiple undergraduate/graduate courses ✍️
Collaborated with researchers from Carnegie Mellon & University of British Columbia 🤝

Achievements & Awards 🏅

🏆 Published 50+ scientific papers with 1150+ citations (h-index: 19) 📄
🏆 Led Google-FIU collaboration to integrate LLM-powered AI tools in CS education 🤖
🏆 Chaired Programming Gateway Committee to improve programming course completion rates 🎯
🏆 Successfully developed and taught two new cybersecurity courses on Blockchain 🔐
🏆 Achieved high teaching ratings (4.6/5.0) for multiple CS courses 📊
🏆 Contributed to NSF & DoD research projects on cybersecurity and network security 🏛

Publication Top Notes:

Fundamentals of brooks-iyengar distributed sensing algorithm: Trends, advances, and future prospects

A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

Posted on 28/02/202528/02/2025 by ScienceFather

Mr. Mehrdad Shoeibi | Smart Network | Best Researcher Award

Mr. Mehrdad Shoeibi, Worcester Polytechnic Institute, United States

Mehrdad Shoeibi is an AI specialist and researcher with expertise in industrial engineering, machine learning, and generative AI, particularly in healthcare, data analytics, and optimization. He is currently pursuing a Ph.D. in Business Administration and Management (IT) at Worcester Polytechnic Institute (WPI) and serves as a Research Assistant for the SmartWAnDS Project, focusing on AI applications in chronic wound analysis. He holds an M.Sc. in Industrial Engineering from the Institute for Management and Planning Studies (IMPS) and a B.Sc. from Islamic Azad University (IAU). Mehrdad has extensive experience in project control management and optimization, having worked in the construction and engineering industries. His technical skills include Python, AI/ML frameworks, and various business intelligence and project management tools.

Professional Profile:

Moving toward resiliency in health supply chain

Suitability of Mehrdad Shoeibi for the Best Researcher Award

Mehrdad Shoeibi demonstrates a strong research background in Generative AI, Machine Learning, Healthcare Applications, and Optimization, which aligns with cutting-edge advancements in AI. His ongoing Ph.D. at Worcester Polytechnic Institute (WPI) and previous degrees in Industrial Engineering establish a solid academic foundation.

🎓 Education

Doctor of Philosophy, Business Administration and Management (IT) (2023 – Present)
📍 Worcester Polytechnic Institute (WPI) | GPA: 3.80
Master of Science, Industrial Engineering (2018 – 2021)
📍 Institute for Management and Planning Studies (IMPS) | GPA: 3.41/4
Bachelor of Science, Industrial Engineering (2010 – 2014)
📍 Islamic Azad University (IAU) | GPA: 3.11/4

💼 Work Experience

Academic & Research Experience

Research Assistant – SmartWAnDS Project, WPI (Aug 2023 – Present)
🔹 Conducting systematic reviews on generative AI applications in healthcare.
🔹 Developing tools for chronic wound image annotation and classification.
Teaching Assistant – Game Theory (Feb 2021 – Jun 2021)
📍 Institute for Management and Planning Studies (IMPS)
Teaching Assistant – Energy Pricing (Feb 2019 – Jun 2019)
📍 Institute for Management and Planning Studies (IMPS)

Industry Experience

Project Control Manager – Aalam Architectural & Structural Consultants (Dec 2019 – Apr 2023)
🔹 Managed BIM implementation.
🔹 Coordinated interdisciplinary efforts.
🔹 Cost estimation and project scheduling.
🔹 Process management and optimization.
Project Control Specialist – Payasazeh Pasargad (Jun 2018 – Dec 2019)
🔹 Provided value engineering recommendations.
🔹 Coordinated construction activities.
🔹 Prepared project progress reports.
Project Control Engineer – Aalam Architectural & Structural Consultants (Jan 2013 – Jul 2015)

🏆 Achievements, Awards & Honors

📜 Published research in Generative AI applications in healthcare.
🏅 Key contributor to the SmartWAnDS Project at WPI.
🎖 Expertise in machine learning, optimization, and AI-driven healthcare solutions.
🏆 Experience in business intelligence and operations research.

Publication Top Notes:

CITED:8

A Novel Six-Dimensional Chimp Optimization Algorithm—Deep Reinforcement Learning-Based Optimization Scheme for Reconfigurable Intelligent Surface-Assisted Energy Harvesting in …

CITED:1

Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications.

CITED:1

Energy-Efficient and Secure Double RIS-Aided Wireless Sensor Networks: A QoS-Aware Fuzzy Deep Reinforcement Learning Approach

CITED:0

5DGWO-GAN: A Novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial Network-Enabled Intrusion Detection in IoT Systems.

CITED:0

Mr. Joel Adams | Automation | Best Researcher Award

Posted on 27/02/2025 by ScienceFather

Mr. Joel Adams | Automation | Best Researcher Award

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

🎓 Education

Florida International University
- Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
- Master of Science in Mechanical Engineering (Summer 2024) 🛠️ (GPA: 3.87)
- Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) 🏅 (GPA: 3.72)
Miami Dade College
- Associate in Arts Degree (Highest Honors) (Summer 2015) 🏆 (GPA: 3.95)

💼 Work Experience

Applied Research Center, Florida International University (March 2019 – Present)
Research Assistant
- 🚀 Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
- 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
- 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

🎖️ Highest Honors Graduate – Miami Dade College
🏅 Honors College Graduate – Florida International University
🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
🏅 Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

Posted on 24/02/2025 by ScienceFather

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Professional Profile:

Drought-induced oxidative damage and antioxidant responses in peanut (Arachis hypogaea L.) seedlings

Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

Bachelor of Science in Mechanical Engineering (English)
University of Gaziantep, 2009
Master of Science in Mechanical Engineering (English)
University of Gaziantep, 2011
Ph.D. in Mechanical Engineering (English)
University of Gaziantep, 2016
(Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience 💼

Research Assistant
Department of Mechanical Engineering, University of Gaziantep, 2010-2016
Assistant Professor
Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
Associate Professor
Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements 🏆

Supervised several Ph.D. and M.Sc. theses, including:
- Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
- Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
- Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
- Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:
- Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
- Concentrated Solar Collector for Afyon Province solar data (2022-2023)
- Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors 🏅

Received TÜBİTAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

Publication Top Notes:

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysis Economics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

Thermodynamic analysis of models used in hydrogen production by geothermal energy

CITED:124

Exergetic cost evaluation of hydrogen production powered by combined flash-binary geothermal power plant

CITED:111

Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher Award

Posted on 19/02/2025 by ScienceFather

Assoc. Prof. Dr. Mona Aboueleaz | Cyber Factory | Women Researcher Award

Assoc. Prof. Dr. Mona Aboueleaz, Mansoura University, Egypt

Dr. Mona AbouEleaz is an Associate Professor in the Production Engineering and Mechanical Design Department at the Faculty of Engineering, Mansoura University, Egypt. She holds a Ph.D. in Production Engineering from Mansoura University, where her research focused on integrating Lean Six Sigma practices into organizational quality management systems. She also earned an M.Sc. in Industrial Engineering from Alexandria University and a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors as the top-ranked student. Dr. AbouEleaz has extensive academic and research experience, having served as a postdoctoral researcher at the University of Calgary, Canada, and a visiting lecturer at the University of Central Lancashire, UK. In addition to her teaching and research, she has held several administrative and managerial roles, including Executive Director of the University Center for Career Development at Mansoura University and Coordinator of multiple international collaboration programs with institutions such as Kyushu University, Japan, and UCLAN, UK. She has also contributed significantly to accreditation, quality assurance, and strategic planning initiatives at Mansoura University. Dr. AbouEleaz is an expert consultant in industrial engineering and quality system management planning and has played a key role in advancing engineering education and institutional development in Egypt.

Professional Profile: