Mr. Joel Adams | Automation | Best Researcher Award

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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:

ORCID

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

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

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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

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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

Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

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Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

Dr. Marzena Miesikowska, Kielce University of Technology, Poland 

Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology in Poland. She holds a PhD in Automation and Robotics and a Master’s degree in Computer Science, both from Kielce University of Technology. Her research interests encompass automation, robotics, information systems, and the analysis of acoustic and speech signals, particularly for drone applications and patient rehabilitation. She has completed a National Science Centre project and participated in the “Future Technologies for Defense” project by the National Centre for Research and Development. Mięsikowska has published multiple books and book chapters and holds a patent for a voice quality assessment method. She is also involved in editorial work and various academic collaborations.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Marzena Mięsikowska

Dr. Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology with a robust background in automation and robotics, information systems, and acoustic signal analysis. Her diverse expertise spans drone acoustic signal analysis, speech signal processing, and metrology.

Education:

  • Ph.D. in Automation and Robotics
    Kielce University of Technology, Kielce, Poland
  • Master of Computer Science
    Kielce University of Technology, Kielce, Poland

Work Experience:

  • Assistant Professor
    Kielce University of Technology, Kielce, Poland
    Current Position
  • Metrologist
    Central Office of Measures, Warsaw, Poland
    Past Position

Publication top Notes:

Analysis of Polish Vowels of Tracheoesophageal Speakers

Discriminant analysis of voice commands in a car cabin | Analiza dyskryminacyjna komend głosowych w kabinie pojazdu

Analysis of Sound Levels and Speech Intelligibility in the Presence of X4 Unmanned Aerial Vehicle in External Environmental Conditions

Discriminant analysis of voice commands in the presence of an unmanned aerial vehicle

Speech intelligibility in the presence of X4 unmanned aerial vehicle

Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

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Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

Ms. Yi-Tian Hong, National Taiwan University / Department of Mechanical Engineering,Taiwan

Yi-Tian Hong was born in Penghu, Taiwan, in 2000. She embarked on her academic journey by earning a B.E. degree in the Department of Mechanical Engineering from National Taiwan University (NTU), Taiwan, in 2023. During her undergraduate studies, she laid a solid foundation in mechanical engineering, preparing herself for advanced research and professional endeavors.Currently, Yi-Tian Hong is pursuing an M.S. degree in the Department of Mechanical Engineering at NTU, Taiwan. Her focus is on conducting research in the Robotics Laboratory, where she specializes in fusion SLAM (Simultaneous Localization and Mapping) techniques designed for both indoor and outdoor environments. This research area involves advanced technologies aimed at enhancing the navigation and mapping capabilities of robotic systems in dynamic and varied settings.In 2023, Yi-Tian Hong achieved significant recognition for her scholarly contributions by receiving the Best Paper Award at The International Automatic Control Conference (CACS). This accolade underscores her dedication to academic excellence and her innovative contributions to the field of robotics and control systems.

Professional Profile

Education:

  • Bachelor’s Degree (B.E.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Year: 2023
  • Master’s Degree (M.S.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Currently pursuing

Work Experience:

Yi-Tian Hong’s professional experience is focused on research and development in the field of robotics, particularly in the area of Simultaneous Localization and Mapping (SLAM). Here are the highlights:

  • Research Assistant
    • Institution: Robotics Laboratory, National Taiwan University
    • Research Focus: Fusion SLAM for both indoor and outdoor environments

Achievements:

In 2023, Yi-Tian Hong was recognized for her academic excellence:

  • Best Paper Award
    • Event: The International Automatic Control Conference (CACS)

Yi-Tian Hong’s career trajectory demonstrates a strong commitment to advancing knowledge and innovation in robotics, particularly in enhancing SLAM technologies for various application scenarios.

Publications Notes:📄

Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments

Implementation of Engagement Detection for Human–Robot Interaction in Complex Environments

 

 

 

 

 

 

 

 

Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

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Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

Dr. Yasir AlKubaisi ,Dubai Academic Health Corporation, United Arab Emirates

Dr. Yassir Mahmood Al Kubaisi is an accomplished Electrical Engineer, born in Baghdad, Iraq, in 1971. He holds a Ph.D. in Electrical Engineering from Universiti Putra Malaysia (UPM), which he obtained in 2020. His dissertation focused on a “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.” Dr. Al Kubaisi also earned his Master’s degree in Computer Engineering from the University of Technology in Baghdad in 2005 and his Bachelor’s degree in Electrical and Computer Engineering from the same institution in 1994.Dr. Al Kubaisi has extensive professional experience, currently serving as a Sustainable Engineer in the Corporate Environmental Health & Safety Department at Dubai Academic Health Corporation since 2017. His work involves studying and analyzing sustainable management practices, proposing solutions, and ensuring compliance with LEED and other sustainability requirements. He has spearheaded innovative projects such as the world’s first sustainable blood donation bus, the “Green Pavilion” project at GITEX 2019, and the “Green House” project at Al-Mizhar Medical Center, among others. His efforts have led to significant energy savings and have been recognized with several awards and honors.

 

Professional Profile

Education:

  • 🎓 PhD: University Putra Malaysia (UPM) – Serdang, Malaysia, Faculty of Engineering, Electrical Engineering, May 2020
    Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building”
    Committee: Professor Dr. Wan Zuha Wan Hasan (Chair), Professor Dr. Mohd. Zainal Abdul Kadir, Associate Professor Dr. Samsul Bahari B Mohd Noor
  • 🎓 MSc: University of Technology – Baghdad, Iraq, Computer Engineering, May 2005
    Thesis: “Design and Implementation Of Security System”
    Advisor: Professor Dr. Adukareem Abdulrahman
  • 🎓 BSc: University of Technology – Baghdad, Iraq, Electrical and Computer Engineering, Jun 1994

Research Interests:

  • 🌿 Sustainable and Renewable Energy
  • ⚡ Electrical and Control Engineering
  • 🤖 Robotics and Automation

Professional Experience:

  • 🌐 Corporate Environmental Health & Safety Dept., Dubai Academic Health Corporation, Dubai (2017 – Present):
    • Sustainable engineer in sustainable management section
    • Proposed and implemented innovative projects, such as the “Sustainable Blood Donation bus” and “Green Pavilion” at GITEX 2019
    • Conducted extensive studies and participated in various energy-saving projects
  • 🏥 Engineering Dept., Dubai Health Authority, Dubai (2009 – 2017):
    • Certified lecturer in sustainability and AI workshops
    • Directed construction operations, site supervision, and quality control
    • Conducted significant studies on load distribution and energy savings
  • 💻 Engineering Dept., Higher Education Computer Center, Iraq (1994 – 2007):
    • Oversaw design and implementation of technical solutions
    • Managed instructional designers and collaborated on broad solution pitches

Honors and Awards:

  • 🏆 Certification of Appreciation in various fields (2020, 2019, 2017, 2014)
  • 🌱 “Let’s Make This Summer Green 2020”
  • 💉 Improved blood donation service – Dubai Blood Donation Center 2019
  • 👏 Recognized for contributions to Corporate Environmental Health & Safety Dept. 2019
  • 🏅 Honored for efforts and cooperation in multiple departments

Corporate Social Responsibility:

  • 🦠 Volunteered for 6 months in the Covid-19 screening campaign
  • 💡 Suggested projects to reduce the spread of the virus

Publications Notes:📄

Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector

Identifying the best forearm muscle to control soft robotic glove system by using a single sEMG channel

Battery Backup Power System for Electrical Appliances with Two Options of Primary Power Sources

Review of gravitational electric energy and application perspectives on modern buildings

Control mechanism of automated dropper system for electric power generation

Investigation on self energized automated multi levels car parking system