Jamshed AliShaikh | Cybersecurity | Best Researcher Award

Published on by Global Academic Awards

Dr. Jamshed AliShaikh | Cybersecurity | Best Researcher Award

Dr. Jamshed AliShaikh at Chongqing University, China

Jamshed Ali  is a Ph.D. candidate in Computer Science & Technology at Chongqing University, China 🇨🇳, with over 7 years of research experience and 4+ years of industry and academic roles. His work bridges AI 🤖, cybersecurity 🔐, and healthcare technologies 🏥. He has contributed to high-impact projects funded by Chinese research councils and has published multiple Q1-ranked journal articles 📚. Jamshed is known for his collaborative spirit, technical versatility, and commitment to using AI for societal benefit 🌍. He is fluent in programming and simulation tools and is a recognized young researcher from Pakistan 🇵🇰.

Publication Profile

Google Scholar

Academic Background

Jamshed Ali earned his Ph.D. in Computer Science & Technology (2020–2025) from Chongqing University, focusing on intelligent intrusion detection for IoMT healthcare networks 🛡️🏥. He completed his MS in Electrical Engineering (2018–2020) at the same university, working on AI-based optimization in smart grids ⚡ using fuzzy logic and control systems. He holds a BS in Electronics (2010–2014) from the University of Sindh, Pakistan, where he explored smart robotics 🤖 for disaster response. His academic path reflects a strong foundation in electronics, AI, and system-level problem-solving 💡 across interdisciplinary domains.

Professional Background

Jamshed Ali has over 4 years and 5 months of professional experience 🧠💻, including work as a Lecturer and IT In-Charge 👨‍🏫 at HIMAS-CON (3+ years), where he taught computer science and led IT operations. He worked as a PHP Developer 💻 at Geeks of Kolachi, managing web development projects. During his internship at Chongqing Kaixinderui, he gained practical experience in engineering teamwork and cultural integration 🤝🇨🇳. Alongside his academic research, these roles reflect a hands-on approach to both technical development and educational leadership in IT and cybersecurity domains 🔐🧑‍🏫.

Awards and Honors

Jamshed Ali received a fully funded 🎓 Chinese Government Scholarship for both his MS and Ph.D. studies in 2018 and 2020 🇨🇳. He was named the “Outstanding Student of the Year” 🥇 in 2020 at Chongqing University for academic excellence and leadership. He also won “Best Speaker” 🎤 at the China-Pakistan Culture and Technology Conference, where he presented on AI’s transformative role across healthcare, education, and manufacturing 🚀. These accolades reflect his academic impact, communication skills, and international recognition 🌍 in the field of intelligent systems and research innovation 🧪.

Research Focus

Jamshed’s research centers on cybersecurity in IoMT and Industrial IoT 🌐, with a focus on machine learning and deep learning 🔍 for intrusion detection, especially detecting zero-day attacks 🚨. He explores federated learning, edge/cloud computing ☁️, secure communication protocols, and medical image processing 🖼️ to enhance healthcare data security 🛡️. His work contributes to intelligent, privacy-preserving healthcare systems, backed by publications in high-impact journals 📘. Jamshed combines theory and application, building intelligent systems that respond to real-world threats while pushing the boundaries of AI in digital health and critical infrastructure 💡🧠.

Publication Top Notes

🔋 Voltage Stability Index using new single-port equivalent based on component peculiarity and sensitivity persistence
Year: 2021 | 📖 Cited by: 11

🌡️ Temperature field simulation and ampacity optimization of 500kV HVDC submarine transmission cable
Year: 2021 | 📖 Cited by: 10

🛰️ A UAV-Assisted Stackelberg Game Model for Securing IoMT Healthcare Networks
Year: 2023 | 📖 Cited by: 9

🌞 A Reliable Approach to Protect and Control of Wind Solar Hybrid DC Microgrids
 Year: 2019 | 📖 Cited by: 9

Conclusion

Based on his outstanding academic record, impactful research in cybersecurity and IoMT, high-quality publications in Q1 journals, and significant involvement in both funded research projects and technical roles, Jamshed Ali stands out as a highly deserving candidate for the Best Researcher Award. His work on intelligent intrusion detection systems using AI and deep learning contributes to a critical and emerging field, particularly in healthcare network security. Coupled with his strong technical proficiency, 7 years of research experience, multiple honors—including CSC scholarships and recognition as an outstanding student and speaker—Jamshed Ali exemplifies excellence in early-career research and innovation.

Mohammed Almulla | Artificial Intelligence | Best Researcher Award

Published on by Global Academic Awards

Prof. Mohammed Almulla | Artificial Intelligence | Best Researcher Award

Prof. Mohammed Almulla, Kuwait University, Kuwait

Prof. Mohammed Ali Almulla, a distinguished Kuwaiti computer scientist, serves as a Professor at Kuwait University. With a Ph.D. in Computer Science from McGill University, he has contributed extensively to academia, research, and administrative leadership. His expertise spans artificial intelligence, automated theorem proving, and IT consultancy. Prof. Almulla has held prominent roles, including Chairman of the Computer Science Department and Acting Vice President for Academic Support Services. Beyond academia, he has influenced national IT policies as an advisor. A dedicated educator and researcher, he actively supports academic development and technological innovation.

Publication Profile

Scopus

Google Scholar

🎓 Education

Prof. Mohammed Almulla earned his B.Sc., M.Sc., and Ph.D. in Computer Science from McGill University, Canada. His Ph.D. thesis, “Analysis of the Use of Semantic Trees in Automated Theorem Proving,” reflects his deep interest in artificial intelligence. His rigorous academic training equipped him with comprehensive expertise in programming, networking, and advanced computer science concepts. With a solid foundation in both theoretical and applied research, Prof. Almulla has contributed to academic growth and scientific discovery. His multilingual proficiency in Arabic and English further enhances his research collaborations and educational impact.

💼 Experience

Prof. Mohammed Almulla has an illustrious career in academia and administration. Since 1995, he has progressed from Assistant Professor to Professor at Kuwait University. He served as Chairman of the Computer Science Department, securing ABET accreditation. His leadership extended to acting roles as Vice President for Academic Support Services and Planning. Prof. Almulla also contributed as an IT Consultant for Kuwait’s Council of Ministers and led the AI Policy Implementation Committee. With decades of service in education, administration, and national IT development, his expertise remains highly influential in Kuwait’s technological landscape.

🏆 Awards and Honors

Prof. Mohammed Almulla has received numerous accolades for his academic and administrative contributions. Notably, he served as a member and coordinator of the Evaluation Committee for the H.H. Sheik Salem Al-Ali AlSabah Award for Informatics, earning recognition for his dedication to technological advancements. As a valued IT consultant and university leader, his work has significantly shaped Kuwait’s digital landscape. His participation in major university and national projects has further solidified his reputation as a pioneer in computer science and informatics.

🔎 Research Focus

Prof. Mohammed Almulla’s research interests include artificial intelligence, automated theorem proving, and decision support systems. His work explores the applications of semantic trees in AI-driven problem-solving. With a passion for advancing intelligent systems, he investigates areas like AI policy implementation and large-scale data analysis. His contributions as a reviewer for over 30 prestigious journals emphasize his influence in the field. Additionally, Prof. Almulla is committed to mentoring students and advancing AI technologies to address real-world challenges.

 

Publication Top Notes

  • 📝 The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning – 947 citations (2020)

  • 🌿 Integrated Social Cognitive Theory with Learning Input Factors: The Effects of Problem-Solving Skills and Critical Thinking Skills on Learning Performance Sustainability – 104 citations (2023)

  • 🎓 Constructivism Learning Theory: A Paradigm for Students’ Critical Thinking, Creativity, and Problem Solving to Affect Academic Performance in Higher Education – 94 citations (2023)

  • 📖 Investigating Teachers’ Perceptions of Their Own Practices to Improve Students’ Critical Thinking in Secondary Schools in Saudi Arabia – 56 citations (2018)

  • 🧠 Using Conceptual Mapping for Learning to Affect Students’ Motivation and Academic Achievement – 47 citations (2021)

  • 🏫 An Investigation of Teachers’ Perceptions of the Effects of Class Size on Teaching – 46 citations (2015)

  • 📘 The Efficacy of Employing Problem-Based Learning (PBL) Approach as a Method of Facilitating Students’ Achievement – 44 citations (2019)

  • 💻 Technology Acceptance Model (TAM) and E-Learning System Use for Education Sustainability – 38 citations (2021)

  • 🤖 Investigating Influencing Factors of Learning Satisfaction in AI ChatGPT for Research: University Students Perspective – 24 citations (2024)

  • 🧑‍🏫 Using Digital Technologies for Testing Online Teaching Skills and Competencies During the COVID-19 Pandemic – 24 citations (2022)

  • 🧑‍🤝‍🧑 An Investigation of Cooperative Learning in a Saudi High School: A Case Study on Teachers’ and Students’ Perceptions and Classroom Practices – 24 citations (2017)

  • 🏗 Investigating Important Elements That Affect Students’ Readiness for and Practical Use of Teaching Methods in Higher Education – 15 citations (2022)

  • 📊 Developing a Validated Instrument to Measure Students’ Active Learning and Actual Use of Information and Communication Technologies for Learning in Saudi Arabia’s Higher Education – 8 citations (2022)

  • 🏅 An Investigation of Saudi Teachers’ Perceptions Towards Training in Cooperative Learning – 8 citations (2016)

  • 🌐 The Changing Educational Landscape for Sustainable Online Experiences: Implications of ChatGPT in Arab Students’ Learning Experience – 5 citations (2024)

  • 📲 Investigating Students’ Intention to Use M-Learning: The Mediating Role of Mobile Usefulness and Intention to Use – 5 citations (2024)

  • 🖥 Using Digital Technologies for Testing Online Teaching Skills and Competencies During the COVID-19 Pandemic – 4 citations (2022)

  • 👫 Students’ Perceptions of the Academic and Social Benefits of Working with Cooperative Learning – 3 citations (2016)

 

 

Abba Bashir | Machine Learning | Best Researcher Award

Published on by Global Academic Awards

Mr. Abba Bashir | Machine Learning | Best Researcher Award

Mr. Abba Bashir, Federal University Dutsin-ma, Nigeria

Abba Bashir is a civil engineer and academic dedicated to sustainable infrastructure and structural optimization. He is a lecturer at the Federal University Dutsin-ma (FUDMA), Katsina, Nigeria, specializing in structural engineering and artificial intelligence applications in construction. With over 100 citations and an h-index of 6, his research focuses on recyclability, fiber-reinforced concrete, and computational mechanics. He has authored a book on bamboo fiber-reinforced concrete and actively contributes to accreditation and curriculum development. As the AI Research Leader at FUDMA’s Faculty of Engineering, he integrates machine learning into structural design for sustainable and resilient infrastructures.

Publication Profile

Scopus

Orcid

Google Scholar

🎓 Education

Abba Bashir is currently pursuing a Master of Technology in Structural Engineering at Mewar University, India (2023–2025). He holds a Bachelor of Technology in Civil Engineering from Sharda University, India, graduating in 2017 with an 8.3/10 CGPA. His early education includes a Senior Secondary School Certificate from Nasara Academy, Kano, Nigeria (2007) and a Primary School Leaving Certificate from Maitasa Special Primary School, Kano, Nigeria (2001). His academic journey has equipped him with expertise in structural analysis, computational mechanics, and sustainable construction materials. His continuous pursuit of knowledge fuels his research in optimizing civil engineering designs through artificial intelligence and machine learning.

💼 Experience

Abba Bashir has been a lecturer at Federal University Dutsin-ma (FUDMA) since 2020, teaching courses such as Structural Analysis, Concrete Design, and Construction Materials. He has supervised undergraduate research projects and actively contributes to curriculum development and accreditation at the university. As a practicing civil engineer since 2017, he has designed and constructed residential, commercial, and institutional structures, integrating AI-driven optimization techniques. He is a member of FUDMA’s Concrete and Steel Research Group and serves as the AI Research Leader. His expertise spans finite element modeling, numerical analysis, and sustainable building materials. He is proficient in ABAQUS, ANSYS, AutoCAD, MATLAB, and Python for structural simulations.

🏆 Awards & Honors

Abba Bashir has been recognized for his contributions to structural engineering and AI-driven construction methodologies. He has received accolades for his research on bamboo fiber-reinforced concrete and his role in advancing sustainable materials. His academic leadership in AI applications within civil engineering has earned him university recognition. His book on bamboo fiber-reinforced concrete is a significant contribution to sustainable construction literature. As a mentor and research leader, he plays a crucial role in developing new undergraduate programs and fostering innovation in civil engineering education. His expertise in computational mechanics and recyclability research continues to influence the field.

🔬 Research Focus

Abba Bashir’s research integrates artificial intelligence, machine learning, and optimization algorithms into structural engineering. His work focuses on fiber-reinforced concrete, recyclability, and sustainability in construction materials. He has extensive experience in finite element modeling using ABAQUS and ANSYS, with a strong emphasis on computational mechanics. His studies explore mechanical properties and durability of cementitious materials with micro/nano reinforcements. He also investigates the optimization of structural designs to reduce environmental impact and enhance resilience. His multidisciplinary research combines AI, numerical modeling, and advanced construction materials to create sustainable and cost-effective infrastructure solutions.

 

Publication Top Notes

1️⃣ Implementation of soft-computing models for prediction of flexural strength of pervious concrete hybridized with rice husk ash and calcium carbide waste | Cited by: 50 | 📅 2022

2️⃣ An overview of streamflow prediction using random forest algorithm | Cited by: 19 | 📅 2022 🌊🤖

3️⃣ Analysis of Bamboo fibre reinforced beam | Cited by: 17 | 📅 2018 🎍🏗️

4️⃣ Antioxidant, hypolipidemic and angiotensin converting enzyme inhibitory effects of flavonoid-rich fraction of Hyphaene thebaica (Doum Palm) fruits on fat-fed obese Wistar rats | Cited by: 16 | 📅 2019 🏥🧪

5️⃣ Assessment of Water Quality Changes at Two Locations of Yamuna River Using the National Sanitation Foundation of Water Quality (NSFWQI) | Cited by: 15 | 📅 2015 🚰📊

6️⃣ High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm | Cited by: 14 | 📅 2023 🏗️🤖

7️⃣ Performance analysis and control of wastewater treatment plant using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Linear Regression (MLR) techniques | Cited by: 8 | 📅 2022 🌊🧠

8️⃣ Comparison of Properties of Coarse Aggregate Obtained from Recycled Concrete with that of Conventional Coarse Aggregates | Cited by: 5 | 📅 2018 ♻️🏗️

9️⃣ Machine Learning: A Way to Smart Environment | Cited by: 1 | 📅 2021 🤖🌱

🔟 A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material | 📅 2025 🏗️📊