Mohammed Aljamal | Artificial intelligence and Robotics | Best Researcher Award

Posted on by sciencefather

Mr. Mohammed Aljamal | Artificial intelligence and Robotics | Best Researcher Award

PhD Candidate In Computer Science and Engineering, University of Bridgeport , United States

Mohammed Aljamal is a Ph.D. candidate in Computer Science & Engineering at the University of Bridgeport, specializing in Robotics and Machine Learning 🤖. He holds an M.S. in Artificial Intelligence and has a strong background in business strategy, management, and new business development 💼. He is the President of the UB Robotics Club and a member of various academic societies 🎓. Mohammed’s expertise includes ROS, SLAM, and AI, and he has significant experience in both academic and industry projects 🌍. He is passionate about leading innovative solutions and advancing user experiences 💡.

Profile: 

Google Scholar 

Education and Experience:

  • Education 🎓: Ph.D. in Computer Science & Engineering (2022-2026) – University of Bridgeport; M.S. in Artificial Intelligence (2020-2021) – University of Bridgeport; Business Analytics (2020) – University of Illinois; B.S. in Mechanical Engineering (2001-2006) – Al Mustansiriya University.
  • Experience 💼: Labs Engineer (2022-Present) – University of Bridgeport; Technology Solutions Advisor (2015-2017) – Zee-Group; Deputy Director (2013-2015) – Mega Planet; Business Development Manager (2010-2013) – Al Otaiba Enterprises.

Professional Development:

Mohammed has continually developed both his technical and leadership skills. He holds certifications in AWS Cloud Foundations ☁️, ROS Fundamentals 🛠, and Business Analytics 📊. His experience as a leader in academic and industrial settings has honed his problem-solving abilities, project management expertise, and the ability to design innovative solutions 🌟. He is dedicated to growing as a researcher and applying his expertise to solve real-world challenges 🧠.

Research Focus:

Mohammed’s research focuses on Robotics, Machine Learning, and Artificial Intelligence 🤖. His work specifically includes reinforcement learning applied to Robotics Operating Systems (ROS) and CNN enhancement for AI tasks 🧠. He also explores practical applications of these technologies, aiming to improve system efficiency and human-robot interaction 🌐. His goal is to develop solutions that bridge the gap between theoretical research and real-world industrial applications 🌍.

Publications :

  • “Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics” – M Aljamal, S Patel, A Mahmood – Applied Sciences, 2025 📚
  • “Enhancement of CNNHQ with an Activation Function” – A Kariri, M Aljamal, J Al Aridhee, I Albukhari, N Matondo-Mvula, K Elleithy – IEEE LISAT, 2023 📘

 

Jaime Gallardo-Alvarado | Robotics | Best Researcher Award

Posted on by sciencefather

Dr Jaime Gallardo-Alvarado | Robotics | Best Researcher Award

Professor, National Technological Institute of Mexico, Celaya Campus, Mexico🎓
Jaime Gallardo-Alvarado, a distinguished professor at the National Technological Institute of Mexico, Celaya Campus, is celebrated for his expertise in robotics, specifically in spatial kinematics of robotic manipulators. With over 80 published journal papers, two renowned books, and recognition as one of the World’s Top 2% Scientists (2020, 2021, and 2023), his research significantly contributes to the fields of mechanisms and robotics, employing advanced screw theory and kinematic analysis.

Profile

Scopus

Education 📘

Dr. Gallardo-Alvarado earned his Doctor of Science (DSc) in Electrical Engineering from Instituto Tecnológico de la Laguna. His robust academic background has laid the foundation for a career in advanced robotic systems and kinematic studies.

Experience 🧠

Currently a professor at the National Technological Institute of Mexico, Jaime Gallardo-Alvarado brings over two decades of expertise to his students and peers. He has led multiple research projects, collaborated on industry-related consultancies, and contributed extensively to academia as both an author and editor for scientific journals, including Mathematical Problems in Engineering, Mathematics, and Electronics (MDPI).

Research Interests 🤖

Dr. Gallardo-Alvarado’s research is focused on the intricate world of robotic kinematics, specifically within the scope of mechanisms, machines, and robotics. His innovative work uses screw theory and Lie algebras to enhance the efficiency and application of parallel manipulators and other complex robotic systems.

Awards 🏆

Dr. Gallardo-Alvarado’s notable achievements include being listed among the World’s Top 2% Scientists in 2020, 2021, and 2023 according to Elsevier and Stanford University. This recognition reflects his sustained excellence in robotics and kinematic research, as well as his contributions to international academic communities.

Publications 📚

“Development and evaluation of hybrid deep learning Long Short-Term Memory Network model for pan evaporation estimation trained with satellite and ground-based data” – Journal of Hydrology, April 2022. Link

“Deep multi-stage reference evapotranspiration forecasting model: Multivariate empirical mode decomposition integrated with Boruta-random forest algorithm” – IEEE-Access, 2021. Link

Conclusion

Jaime Gallardo-Alvarado’s extensive publication record, editorial leadership, and international recognition make him a strong candidate for the Best Researcher Award. His contributions to robotic manipulators, particularly his studies using screw theory, are both pioneering and highly influential in the field. By enhancing his research’s industrial applications and pursuing innovation in patents, he can further strengthen his candidacy and potentially expand the impact of his work on practical applications. Dr. Gallardo-Alvarado’s achievements and dedication underscore his suitability for this award, and he would be a deserving recipient based on his record and potential for continued contributions.