Mohammed Aljamal | Artificial intelligence and Robotics | Best Researcher Award

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 πŸ€–. He holds an M.S. in Artificial Intelligence and has a strong background in business strategy, management, and new business development πŸ’Ό. He is the President of the UB Robotics Club and a member of various academic societies πŸŽ“. 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 πŸ’‘.

Profile:Β 

Google ScholarΒ 

Education and Experience:

  • Education πŸŽ“: 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 πŸ’Ό: 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 πŸ› , and Business Analytics πŸ“Š. 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 πŸ€–. 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 πŸ“š
  • “Enhancement of CNNHQ with an Activation Function” – A Kariri, M Aljamal, J Al Aridhee, I Albukhari, N Matondo-Mvula, K Elleithy – IEEE LISAT, 2023 πŸ“˜

 

Mr. Ahsan Jamil | Machine Learning | Best Researcher Award

Mr. Ahsan Jamil | Machine Learning | Best Researcher Award

Mr. Ahsan Jamil | New Mexico State University | United States

Ahsan Jamil is a PhD candidate in Water Science & Management at New Mexico State University 🌎, specializing in machine learning and geospatial data science πŸ–₯️. He is focused on applying computational geoscience and satellite imagery analysis 🌐 to address earth and environmental challenges. With expertise in data-driven insights and problem-solving, Ahsan is passionate about sustainable environmental solutions 🌱 and is an effective science communicator πŸ“š, committed to raising awareness of critical environmental issues.

Professional Profile

Scopus

Suitability

Ahsan Jamil is highly deserving of the Best Researcher Award due to his exceptional contributions to the field of Water Science & Management 🌊, particularly in machine learning and geospatial data science 🧠. His cutting-edge research, such as the development of ML-based geophysical inversion algorithms for hydrogeological characterization, showcases his ability to solve complex environmental challenges using innovative methodologies 🌍. Ahsan has consistently demonstrated leadership in his research projects, including his work with the U.S. Department of Energy 🌟, and his scientific articles have been published in renowned journals. He is a committed scholar who continuously strives for professional development, as evidenced by his numerous prestigious certifications πŸ“œ and awards πŸ†, such as the Baldwin and Reichert Scholar Award.

EducationΒ 

Ahsan Jamil is currently pursuing his PhD in Water Science & Management at New Mexico State University 🏫, with a focus on geophysical electrical resistivity algorithms πŸ”¬.

ProfessionalΒ 

Ahsan Jamil has actively contributed to advancing his skills through certifications in remote sensing, big data analysis, and machine learning πŸ“Š. His participation in programs such as NASA’s Advanced Remote Sensing 🌌 and UNU-INWEH’s Big Data for Water 🌊 highlights his commitment to continued professional growth. He has also been recognized with prestigious awards including the Baldwin and Reichert Scholar Award πŸ† and the Encompass Scholar title by the American Society of Agronomy 🌱.

Experience

He has an MSc in Remote Sensing & GIS from PMAS-AAUR, Pakistan πŸŽ“ and a BSc in Geophysics 🧭 from Bahria University, Islamabad. Ahsan’s career includes roles as a Graduate Research Assistant at NMSU, GIS Analyst at Wateen Telecom 🌍, and Visiting Lecturer in Pakistan πŸŽ“, as well as freelance GIS consulting 🌐.

Research Focus

Ahsan Jamil’s research is centered on computational geoscience, with a particular focus on machine learning 🧠 and geospatial data science 🌍. He utilizes satellite imagery πŸ“Έ and advanced data analytics to solve critical earth and environmental challenges 🌱. His work contributes to understanding water management πŸ’§, hydrogeological characterization 🏞️, and sustainable environmental solutions 🌍, making significant strides in both academia and practical applications.

Awars and Honors

  • Baldwin and Reichert Scholar Award, New Mexico State University (2024).
  • Encompass Scholar (2021–2022), American Society of Agronomy.
  • Media Fellowship, ICIMOD (2015).
  • Vice Chancellor Talent Scholarship, PMAS-AAUR (2017).

Publication top notes

Bokhari, R., Shu, H., Tariq, A., Jamil, A., Aslam, M. (2023). Land subsidence analysis using synthetic aperture radar data. Heliyon, 9(3), e14690. [Link Disabled]
  • Citations: 27
Tariq, A., Ali, S., Basit, I., Junaid, M.B., Hatamleh, W.A. (2023). Terrestrial and groundwater storage characteristics and their quantification in the Chitral (Pakistan) and Kabul (Afghanistan) river basins using GRACE/GRACE-FO satellite data. Groundwater for Sustainable Development, 23, 100990. [Link Disabled]
  • Citations: 25
Zheng, X., Sarwar, A., Islam, F., Aslam, M., Soufan, W. (2023). Rainwater harvesting for agriculture development using multi-influence factor and fuzzy overlay techniques. Environmental Research, 238, 117189. [Link Disabled]
  • Citations: 16
Feng, L., Khalil, U., Aslam, B., Aslam, M., Soufan, W. (2024). Evaluation of soil texture classification from orthodox interpolation and machine learning techniques. Environmental Research, 246, 118075. [Link Disabled]
  • Citations: 12
Zaman-ul-Haq, M., He, M., Kanwal, A., Mubbin, M., Bokhari, S.A. (2024). Remote Sensing-Based Assessments of Socioeconomic Factors for Urban Ecological Resilience in the Semi-Arid Region. Rangeland Ecology and Management, 96, 12–22. [Link Disabled]
  • Citations: 2