Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

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:

GOOGLE SCHOLAR

SCOPUS

ORCID

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:

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

CITED:162

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

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

CITED:124
CITED:111

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

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:

SCOPUS

ORCID

Summary of Suitability for the Research for Women Researcher Award 

Dr. Mona AbouEleaz is a highly accomplished researcher and academic in the field of Production Engineering and Mechanical Design. Her extensive experience spans over two decades, demonstrating her dedication to advancing engineering research and education. Below are key factors supporting her suitability for the Research for Women Researcher Award

🎓 Education:

  • Ph.D. in Production Engineering (2010-2015) 🏅
    Thesis: “Lean Six Sigma Practices into an Organizational Quality Management System”
    Faculty of Engineering, Mansoura University, Egypt
  • M.Sc. in Industrial Engineering (2005-2008) 🎯
    Thesis: “Hierarchic Framework for Quality Improvement Approaches”
    Faculty of Engineering, Alexandria University, Egypt
  • B.Sc. in Production Engineering & Mechanical Design (Ranked 1st, Very Good with Honor) 🏆
    Faculty of Engineering, Mansoura University, Egypt

💼 Professional Experience:

  • Associate Professor (Present) 👩‍🏫
    Production Eng. & Mechanical Design Dept., Faculty of Engineering, Mansoura University, Egypt
  • Visiting Lecturer (Aug 2019) ✈️
    School of Engineering, University of Central Lancashire, UK
  • Postdoctoral Researcher (Jun – Dec 2018) 🔬
    Schulich School of Engineering, Mechanical & Manufacturing Engineering Dept., University of Calgary, Canada
  • Lecturer (Dec 2015 – Present) 📚
    Mansoura University, Egypt
  • Lecturer Assistant (May 2009 – Dec 2015) 🎓
    Mansoura University, Egypt
  • Demonstrator (Mar 2003 – May 2009) 🏗️
    Mansoura University, Egypt

🏆 Achievements & Honors:

  • Executive Director of University Center for Career Development, Mansoura University (2023 – Present)
  • Erasmus+ Coordinator for Student & PhD Mobility Programs between Mansoura University & UCLAN, UK 🇬🇧
  • Established student mobility programs with Kyushu University, Japan 🇯🇵 (2021)
  • Head of Institutional Accreditation Committee for Student Affairs at Mansoura University (2020 – Present)
  • Quality Assurance Coordinator of Production Eng. Dept. (2018 – Present) ✅
  • Coordinator of International Relations Office, Mansoura University (2020 – Present) 🌍
  • Consultant Engineer in Industrial Engineering & Quality System Management, Engineering Syndicate, Cairo (2021 – Present)
  • Organizer of the First Industrial Conference at Mansoura University (2015) 🏭
  • Team Leader for Local Academic Accreditation Strategic Plan, Mansoura University (2013 – 2016)

Publication Top Notes:

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

A Study of Drilling Parameter Optimization of Functionally Graded Material Steel–Aluminum Alloy Using 3D Finite Element Analysis

A Decision-making Approach to Reduce the Risk of Measurement Uncertainty for Product Size

Experimental Investigation of Surface Roughness and Material Removal Rate in Wire EDM of Stainless Steel 304

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

 

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award

Dr. Bharga prajwal pathri | Swarm Intelligence Award | Best Researcher Award 

Dr. Bharga prajwal pathri, Woxsen University, India

Bhargav Prajwal Pathri is an Associate Professor and Programme Director of the Mechatronics Department at Woxsen University, Hyderabad, India. With a Ph.D. in Mechanical Engineering from the Malaviya National Institute of Technology (NIT) Jaipur, his research focuses on mechanical systems, automation, bio-printing, and IoT. He has a strong educational background, holding a Master’s degree in Automotive Engineering from Coventry University and a Bachelor’s degree in Mechanical Engineering from Jawaharlal Nehru Technological University. Bhargav has over nine years of experience in academia, having taught at various institutions including JK Lakshmipat University and Effat University. He is skilled in mechanical design and analysis using advanced software such as CATIA, SolidWorks, and Abaqus. In addition to his teaching role, he actively mentors students on projects, engages in research, and contributes to curriculum development. A passionate learner, Bhargav enjoys photography, traveling, reading novels, and riding cars and bikes in his free time. He is dedicated to fostering a creative learning environment and is committed to continuous professional growth.

Professional Profile:

ORCID

Summary of Bhargav Prajwal Pathri

Professional Overview: Bhargav Prajwal Pathri is an accomplished and versatile professional with nine years of experience in mechanical design, modeling, teaching, research, and project management. He currently serves as an Associate Professor and Programme Director in the Mechatronics Department at Woxsen University, Hyderabad.

Education:

  • Ph.D. in Mechanical Engineering
    Malaviya National Institute of Technology, Jaipur, India (2013 – 2018)

    • Project: Characterization and machinability study of various marble stones for sustainable processing.
  • M.Sc. in Automotive Engineering
    Coventry University, United Kingdom (2009 – 2010)

    • Project: Design and manufacturing of upright for a Formula One student sports car.
  • B.Tech in Mechanical Engineering
    Jawaharlal Nehru Technological University, Hyderabad, India (2004 – 2008)

    • Project: Development of variable part programming for turning centrifugal compressor impeller using SINUMERIK CNC System.

Work Experience:

  • Associate Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2024 – Present)

    • Focused on teaching, research, and mentoring students on projects.
  • Assistant Professor
    Woxsen University, School of Technology, Hyderabad, India (Jan 2022 – Jan 2024)

    • Engaged in teaching and student mentorship.
  • Assistant Professor
    JK Lakshmipat University, Jaipur, India (July 2019 – Jan 2022)
  • Assistant Professor
    Effat University, Jeddah, Saudi Arabia (Nov 2018 – June 2019)
  • Research Scholar
    Malaviya National Institute of Technology, Jaipur, India (July 2013 – June 2018)

Key Skills and Expertise:

  • Proficient in CAD/CAE software: CATIA V5, Inventor, SolidWorks, Altair Hyperworks, and Abaqus.
  • Strong analytical skills in engineering design, quality inspection, and technical documentation.
  • Experienced in curriculum development and fostering a creative learning environment.
  • Demonstrated leadership in workshops and conferences related to engineering and technology.

Areas of Expertise:

🔧 Mechanical Design & Modelling
📊 Teaching Management
🛠️ Project Execution & Fulfillment
📚 Curriculum Development
🤝 Vendor Management
👩‍🏫 Training & Mentoring

Publication Top Notes

EcoSprout: Machine Learning-Powered Smart Sprinkler System

S3T: A New Self-Supervised Learning with Swin Transformer

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

Electric discharge machining: A comprehensive review for difficult to cut materials

Medical Imaging and Analysis of Thermal Necrosis During Bone Grinding: Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-III) in Healthcare

 

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award

Mr. Krishnavamshi Gandur | Swarm Intellgence Awards | Best Researcher Award 

Mr. Krishnavamshi Gandur, Woxsen University, India

Krishnavamshi Ganduri is a dedicated PhD candidate in Mechatronics at Woxsen University, Hyderabad, India, where he explores the fusion of mechanical, electrical, and computer engineering to devise innovative solutions for real-world challenges. With a strong foundation in robotics and automation, he aims to contribute to advancements in artificial intelligence. As a Teaching Assistant, he has led classes and supervised labs, focusing on software like AutoCAD, SolidWorks, and 3D printing, while also guiding student robotics projects. His academic journey includes a B.Tech in Mechanical Engineering and an M.Tech in Thermal Engineering, complemented by professional experience as a Design Engineer. Krishnavamshi has received accolades for his innovative projects, including a 1st place award for designing a paper cutting machine using the Geneva mechanism. He is proficient in multiple programming languages and CAD software, with several patents to his name, showcasing his commitment to pushing the boundaries of technology and education. 🌟👨‍🎓🔧

Professional Profile:

ORCID

Suitability for Best Researcher Award

Krishnavamshi Ganduri is a highly suitable candidate for the Best Researcher Award based on his exceptional academic background, technical skills, professional achievements, and innovative research contributions. Below is a summary of the key factors that underscore his eligibility.

🎓 Education

  • 📚 Ph.D. in Robotics, Woxsen University (2021–2025)
    Thesis: Swarm Robotics using PSO and Rendezvous Algorithms
  • 📚 M.Tech. in Thermal Engineering, CMR Technical Campus (2018–2021)
    Thesis: CFD Analysis of Diesel-Methanol IC Engine
  • 📚 B.Tech. in Mechanical Engineering, Adams Engineering College (2015–2018)
  • 📚 Diploma in Mechanical Engineering, Govt. Polytechnic (2012–2015)

🧑‍🏫 Experience

  • 🏫 Teaching Assistant (2023–2025), Woxsen University: Led labs and classes on AutoCAD, Fusion 360, SolidWorks, and Robotics.
  • 🏫 Teaching Assistant (2021–2022), Mahindra University: Conducted classes on AutoCAD, SolidWorks, and Engineering Drawing.
  • ⚙️ Design Engineer (2020–2021), Lyonstone Technologies: Expertise in ANSYS, SolidWorks, and Catia, conducting advanced simulations and performance analysis.

🏆 Achievements

  • 🏅 1st Place: Innovation of Geneva Mechanism Paper Cutter, PROJECT-EXPO (2017).
  • 🏅 1st Place: Scored 100/100 in Engineering Drawing, Diploma (2013).
  • 📜 Certified CAD/CAE Engineer, MSME Govt. of India.

🛠️ Key Projects

  • 🤖 WOXBOTS: Swarm robotics platform for collision avoidance.
  • 🚜 Agriculture Drone: AI-powered drone for crop health monitoring.
  • 🛒 Warehouse Automation: Pick-and-Place Robot for enhanced efficiency.
  • 🔥 Firefighting Drone: Equipped with human detection and suppression systems.
  • 🛠️ 3D-Printed V8 Engine: Simulated and printed prototype using SOLIDWORKS and ANSYS.

📜 Patents

  • 🛡️ Multi-Agent Co-ordination System with Swarm Behavior (2024)
  • ♻️ Eco-Forge: Sustainable 3D Filament Extruder.
  • 🤖 AI-Based Robotic Pick-and-Place System for Warehouses.
  • 📦 Automatic Segregation of E-Commerce Products with 7DOF Arm.
  • 🏟️ Real-Time 3D Projection System for Live Matches.

🎯 Professional Development

  • 🧠 AI & ROS for Robotics (IIIT Kancheepuram, 2023)
  • 🌐 IoT & Digital Twins (IIIT Sricity, 2024)
  • 🖨️ 3D Printing & Design (IIIT Basara, 2023).

Publication Top Notes:

Swarm Intelligence in Action: Particle Swarm Optimization and Rendezvous Algorithms for Swarm Robotics

EcoSprout: Machine Learning-Powered Smart Sprinkler System

CFD analysis of diesel-methanol blend in 4-stroke variable compression ratio internal combustion engine

Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award

Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award 

Prof. Arturo Benayas Ayuso, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso, born in April 1976, is a highly skilled Naval Architect with a Master’s degree from the Universidad Politécnica de Madrid and is currently pursuing a Ph.D. in Naval Architecture. His Ph.D. research focuses on applying IoT to ship design, shipbuilding, manufacturing, and management. Arturo has extensive professional experience in the naval industry, currently serving as Integration Lead for the “El Cano” platform at NAVANTIA, where he oversees the integration of industry 4.0 technologies in naval shipbuilding. He has previously worked as a FORAN-PLM Technical Account Manager and Solution Architect Associate Manager, leading integration projects for the Spanish Navy, including the S80 submarine program. Fluent in Spanish, English, French, and Portuguese, Arturo has contributed to several conferences, authored publications in shipbuilding and IoT, and co-authored a book chapter on IoT cybersecurity.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Arturo Benayas Ayuso

Professional Background: Arturo Benayas Ayuso has extensive experience in naval architecture, ship design, and industry 4.0 technologies. His expertise spans over two decades, with a strong focus on integrating IoT and PLM (Product Lifecycle Management) systems into naval shipbuilding. As the Platform Integration Lead at NAVANTIA and his previous roles, he has successfully led digitization projects, coordinated large development teams, and managed multi-shipyard collaborations with notable defense projects like the Spanish Navy’s S80 submarine and Royal Navy’s CVF project.

Education:

  • MSc Naval Architect – Universidad Politécnica de Madrid, 2005 (Marine motors specialist).
  • PhD (On-going) – Naval Architect PhD Researcher focusing on “IoT applied to Ship Design, Shipbuilding, Manufacturing, and Ship Management.”

Work Experience:

  1. 2020–Present: Accenture – Tecnilógica
    • Position: PLM Associate Manager, Platform Integration Lead (Naval shipbuilding).
    • Responsibilities:
      • Lead the integration of the “El Cano” platform at NAVANTIA, a platform that incorporates Industry 4.0 principles into naval shipbuilding.
      • Manage a fixed team of 7 members and up to 10 floating members.
      • Define and deploy OOTB software solutions, and create custom requirements for the Spanish Navy’s digitization efforts using Siemens CAD-CAM-CAE-PLM systems.
      • Prepare project tenders, including the economic assessments.
      • Apply Agile methodologies to ensure timely project delivery.
  2. 2005–2020: SENER, Ingeniería y Sistemas, S.A. (Naval Systems Section)
    • Position: Solution Architect Associate Manager / FORAN-PLM Technical Account Manager.
    • Responsibilities:
      • Managed and coordinated the integration of FORAN with Windchill and Teamcenter PLM systems.
      • Supervised integration for key naval projects such as the S80 Submarine Program for the Spanish Navy, BAM Naval Project, and collaborations with Aker Offshore Platform and Royal Navy’s CVF Program.
      • Directed development teams and maintained a neutral integration approach between FORAN and PLM platforms.
      • Led the migration of the Spanish S80P submarine to the new FORAN version and integrated Windchill PLM.
  3. 2003–2004: Infomarine & Infopower Magazines (Internship)
    • Responsibilities:
      • Wrote articles and advertisements for magazines.
      • Improved internal databases and created a new database for InfoEnviro magazine.

Publication top Notes:

Internet of Things Cybersecurity: Blockchain as First Securitisation Layer of an IoT Network

Data management for smart ship or how to reduce machine learning cost in IoS applications

Automated/controlled storage for an efficient mbom process in the shipbuilding managing the iot technology

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award 

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Professional Profile:

 

Summary of Suitability for Best Researcher Award 

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

  • Ph.D. in Biological and Agricultural Engineering
    Tokyo University of Agriculture and Technology, Tokyo, Japan
    Apr. 1993 – Mar. 1996
    Major: Agricultural Engineering, Specialty in Biological Production Science
    Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

    • Developed and designed a new type of Active Noise Control (ANC) system/equipment.
    • Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
    • Conducted computer simulations of noise reduction effects using C/C++ programming language.
    • Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
    • Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.
  • M.S. in Engineering in Agricultural Electrification & Automation
    Graduate School of Northeast Agricultural University, Harbin, China
    Sep. 1985 – Dec. 1988
    Major: Agricultural Electrification & Automation
    Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

    • Developed a PID feedback control system using a microcomputer.
    • Proposed a new control method for the rotation speed of a servomechanism.
    • Designed a controller using a microcomputer and assembly programming language.
    • Invented a grain flow sensor and applied the control system to livestock feed production.
    • Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

  • Professor and Ph.D. Supervisor
    Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
    Beijing, China
    Mar. 2007 – Present

    • Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
    • Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
    • Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
    • Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
    • Supervised over 60 graduate students in agricultural engineering research.
  • Director, National R&D Center for Agro-Processing Technology and Equipment
    Ministry of Agriculture and Rural Affairs, China
    Nov. 2009 – Present

    • Oversight of national research and development projects related to agro-processing technology and equipment.
  • Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
    Ministry of Agriculture and Rural Affairs, China
    Dec. 2019 – Present

    • Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion

SERS characterization and concentration prediction of Salmonella in pork

Rapid Quantitative detection of Ractopamine using Raman scattering features combining with Deep Learning

Non-destructive detection of TVC in pork by machine learning techniques based on spectral information

 

Prof. Hieyong Jeong | Smart Systems Award | Best Researcher Award

Prof. Hieyong Jeong | Smart Systems Award | Best Researcher Award

Prof. Hieyong Jeong, Chonnam National University, South Korea

Dr. Hieyong Jeong is a Professor in the Department of Artificial Intelligence Convergence at Chonnam National University, Republic of Korea. He earned his Bachelor of Engineering from Pukyoung National University in 2002, followed by a Master of Engineering from Hiroshima University in 2006, and a Ph.D. in Engineering from Osaka University in 2009, where he studied under the guidance of Prof. Makoto Kaneko. Dr. Jeong has a diverse educational background with coursework in the Internet of Things, vital signal processing, artificial intelligence, and robotics.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

          Dr. Hieyong Jeong is a distinguished researcher and professor in the field of engineering, with a
remarkable academic and professional background that makes him a strong candidate for the Best
Researcher Award. His extensive education includes a Bachelor’s degree in Engineering from
Pukyoung National University, a Master’s degree from Hiroshima University, and a Ph.D. in
Engineering from Osaka University, all of which have equipped him with deep expertise in various
engineering disciplines. His academic journey under the mentorship of renowned professors like
Prof. Makoto Kaneko highlights his solid foundation in research.

Education:

  • March 1996 ~ August 2002:
    • Institution: Pukyoung National University, Republic of Korea
    • Degree: Bachelor of Engineering
  • April 2004 ~ March 2006:
    • Institution: Hiroshima University, Japan
    • Degree: Master of Engineering
    • Supervisor: Prof. Makoto Kaneko
  • April 2006 ~ May 2009:
    • Institution: Osaka University, Japan
    • Degree: Ph.D. in Engineering
    • Supervisor: Prof. Makoto Kaneko
    • Relevant Coursework: Internet of Things, Vital Signal Processing and Analysis, Artificial Intelligence, Robotics

Work Experience:

  • April 2009 ~ November 2013:
    • Position: Senior Engineering Researcher
    • Institution: Institute of Industrial Science and Technology, SAMSUNG HEAVY INDUSTRIES LTD., CO., Republic of Korea
  • December 2013 ~ March 2014:
    • Position: Senior Engineering Researcher
    • Institution: Robot Research Initiative, Chonnam National University, Republic of Korea
  • April 2014 ~ August 2019:
    • Position: Associate Professor
    • Institution: Graduate School of Medicine, Osaka University, Japan
  • September 2019 ~ Present:
    • Position: Professor
    • Department: Department of Artificial Intelligence Convergence, Chonnam National University, Republic of Korea

Publication top Notes:

Effect of Light-Emitting Grid Panel on Indoor Aquaculture for Measuring Fish Growth

Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning

One-Step Gait Pattern Analysis of Hip Osteoarthritis Patients Based on Dynamic Time Warping through Ground Reaction Force

Consideration for Positive and Negative Effect of Multi-Sensory Environment Interventions on Disabled Patients through Electrocardiography

Scoring of Human Body-Balance Ability on Wobble Board Based on the Geometric Solution

Study on Image Processing of Capillaries Using Microscope: Initial Considerations

 

 

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award

Mr. Omer Tariq | Artificial Intelligence Award | Best Researcher Award 

Mr. Omer Tariq, Korea Advanced Institute of Science and Technology, KAIST, South Korea

Omer Tariq is a Ph.D. candidate at the Korea Advanced Institute of Science and Technology (KAIST), specializing in efficient and privacy-preserving deep learning for AIoT and autonomous systems. With a strong foundation in digital ASIC design, embedded systems, and hardware design, Omer has over seven years of experience in developing and deploying innovative machine learning solutions using TensorFlow, TensorRT, and PyTorch. His research includes advanced robotics software systems, autonomous navigation, and state-of-the-art motion planning algorithms. He has led teams in high-performance SoC/RTL design and verification at the National Electronics Complex, Pakistan, and contributed to satellite imaging systems at SUPARCO. Omer holds a BSc in Electrical Engineering from the University of Engineering and Technology, Taxila, and has published several papers in prominent journals. His technical skills are complemented by a range of certifications in machine learning, data science, and digital signal processing.

Professional Profile:

Summary of Suitability for Best Researcher Award

Omer Tariq is a Ph.D. candidate specializing in efficient and privacy-preserving deep learning for AIoT and Autonomous Systems. His work is highly relevant to current technological advancements and addresses significant challenges in machine learning, robotics, and autonomous systems. His research includes:

Education

Korea Advanced Institute of Science and Technology (KAIST)
Doctor of Philosophy (Ph.D.) in Computer Science
May 2021 – July 2025

  • Majors: Machine Learning & AI
  • CGPA: 3.74/4.3
  • Coursework: Programming for AI, Introduction to Artificial Intelligence, Design and Analysis of Algorithms, Intelligent Robotics, Human-Computer Interaction, Artificial Intelligence and Machine Learning, Technical Writing for Computer Science, Advanced Machine Learning, IoT Datascience

University of Engineering and Technology (UET), Taxila
Bachelor of Science in Electrical Engineering
Nov 2010 – July 2014

  • CGPA: 3.25/4.0
  • Thesis: Computer Vision-Assisted Object Detection and Control Framework for 3-DoF Robotic Arm
  • Area: Microelectronics, Control Systems, and Advanced Computer Architecture

Work Experience

Department of Industrial & Systems Engineering (ISysE), KAIST
Research Assistant
Nov. 2023 – March 2024

  • Designed and developed the electronics and power management module for the DAIM-Autonomous Mobile Robot, enhancing operational efficiency and reliability.
  • Engineered advanced robotics software systems for autonomous navigation and task execution.
  • Implemented state-of-the-art robot motion planning, mapping, and localization (SLAM) algorithms to improve real-time navigation accuracy.

National Electronics Complex, Pakistan (NECOP)
Engineering Manager & Team Lead
Apr. 2019 – Sep. 2022

  • Led verification and validation of high-performance SoC/RTL designs, ensuring system performance and reliability.
  • Spearheaded RTL development and optimization for high-performance IC designs, including logic synthesis, DFT, scan chain insertion, formal verification, and static timing analysis.
  • Managed the use of Synopsys and Cadence EDA tools for front-end and back-end digital IC design processes.

National Space Agency, Pakistan (SUPARCO)
Assistant Manager
Oct. 2014 – Apr. 2019

  • Designed and developed satellite imaging payload systems for national satellite missions.
  • Engineered high-speed, multi-layer PCB designs and conducted signal/power integrity simulations for satellite systems.
  • Developed embedded systems for the Satellite Ku-Band Positioning Unit, enhancing communication and positioning capabilities.

Publication top Notes:

2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation

TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection

Compact Walsh–Hadamard Transform-Driven S-Box Design for ASIC Implementations

DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors