Zeeshan Rasheed | Machine Learning | Research Excellence Award

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Mr. Zeeshan Rasheed | Machine Learning | Research Excellence Award

Mir Chakar Khan Rind University Sibi | Pakistan

Mr. Zeeshan Rasheed is an academic researcher in computer science with a focus on wireless communication systems, artificial intelligence, machine learning, and IoT-enabled network optimization. His research addresses sustainable wireless resource modeling, radio network cooperation, intelligent dataflow strategies for heterogeneous IoT environments, and predictive analytics applied to healthcare and telecommunications. He has published in multidisciplinary international journals such as Data Intelligence, MDPI Smart Cities, and the African Journal of Biomedical Research, highlighting an applied and problem-oriented research approach. With 2 Scopus-indexed publications, 5 citations, and an h-index of 1, his work reflects an emerging research trajectory that integrates AI-driven models with real-world technological and societal challenges, demonstrating growing interdisciplinary research potential as an early-career researcher.

Citation Metrics (Scopus)

8

6

4

2

0

Citations 5

Documents 2

h-index 1


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Featured Publications

Rebwar Khalid | Artificial Intelligence | Editorial Board Member

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Dr. Rebwar Khalid | Artificial Intelligence | Editorial Board Member

Erbil Polytechnic University | Iraq

Dr. Rebwar Khalid Hamad is an emerging researcher in artificial intelligence with a strong focus on nature-inspired algorithms, metaheuristics, and data-driven optimization systems. His work advances cutting-edge computational models such as the Krill Herd, FOX, Gravitational Search, and GOOSE algorithms, contributing significantly to optimization theory and its real-world engineering and healthcare applications. He has developed impactful frameworks for intelligent problem-solving, integrated AI-based search techniques, and enhanced algorithmic performance through systematic reviews and novel implementations. His publications in high-impact journals highlight his ability to bridge theoretical AI mechanisms with advanced data management and practical optimization challenges. Beyond research, he contributes to academic development through teaching, student supervision, and the design of data management systems. His scholarly portfolio demonstrates strong analytical capabilities, innovation in metaheuristic modeling, and a commitment to advancing the fields of artificial intelligence, data science, and computational optimization.

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Featured Publications

Hamad, R. K., & Rashid, T. A. (2023). GOOSE algorithm: A powerful optimization tool for real-world engineering challenges and beyond. Evolving Systems.

Hamad, R. K., & Rashid, T. A. (2023). Current studies and applications of Krill Herd and Gravitational Search Algorithms in healthcare. Artificial Intelligence Review, 56(Suppl 1), 1243–1277.

Hamad, R. K., & Rashid, T. A. (2023). A systematic study of Krill Herd and FOX algorithms. In Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB) (pp. 168–186).

Hamad, R. K., & Rashid, T. A. (2025). A systematic study of GOOSE algorithms. In Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications.

Hamad, R. K. (2024). GOOSE algorithm: A powerful optimization tool for real-world engineering challenges and beyond [Computer software]. GitHub.

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

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Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

Mohammed Almulla | Artificial Intelligence | Best Researcher Award

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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

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🎓 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)

 

 

Ravinesh Chand | Robotics | Best Researcher Award

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Mr. Ravinesh Chand | Robotics | Best Researcher Award

Lecturer at Fiji National University, Fiji

Mr. Ravinesh Chand is a dedicated Lecturer in Mathematics with over 21 years of teaching experience in Fiji’s academic and secondary education sectors. He has taught students from diverse backgrounds and is highly skilled in delivering engaging lessons, fostering an interactive learning environment, and conducting research in applied mathematics. Currently pursuing a PhD in Mathematics at the University of the South Pacific (USP), his expertise spans digital signature schemes, mathematical problem-solving, and curriculum development. He has held leadership roles as Head of Department at multiple institutions, contributing to academic excellence. Passionate about student success, he emphasizes innovative teaching methods and collaborative learning. As a researcher, he is committed to generating new knowledge in mathematics. His contributions extend beyond teaching, as he actively mentors students and supports extracurricular activities like soccer coaching. His work is marked by precision, analytical thinking, and a commitment to excellence.

Publication Profile

Scopus

 Orcid

 Google Scholar

Education 🎓📚

Mr. Ravinesh Chand is pursuing a PhD in Mathematics at the University of the South Pacific (USP), focusing on advanced mathematical research. He holds a Master of Science in Mathematics from USP, where he completed a thesis on “Digital Signature Scheme Over Lattices” under the supervision of Dr. M.G.M. Khan and Dr. Maheswara Rao Valluri. He earned a Postgraduate Diploma in Applied Mathematics from USP in 2013, further strengthening his expertise in mathematical modeling and cryptographic systems. His academic foundation was laid with a Bachelor of Education in Mathematics from USP in 2001, equipping him with strong pedagogical skills and mathematical proficiency. Throughout his educational journey, he has demonstrated a commitment to academic excellence, research, and innovative problem-solving. His education has been instrumental in shaping his career as a lecturer and researcher, allowing him to contribute meaningfully to the field of applied mathematics and mathematical education.

Experience 📖👨‍🏫

Mr. Ravinesh Chand has served as a Lecturer in Mathematics at Fiji National University since 2015. Previously, he held leadership roles as Head of the Mathematics and Physics Department at Dudley High School (2014-2015), Suva Grammar School (2013-2014), and Assemblies of God High School (2007-2013). His teaching career began at Waidina Secondary School (2002-2006) as an Acting Head of Department and Mathematics & Physics teacher. Throughout his career, he has led curriculum planning, student engagement, and performance evaluations while mentoring both students and teachers. As a leader, he ensured high-quality teaching standards, facilitated staff development, and implemented intervention strategies for student success. He has also promoted extracurricular activities, including coaching school soccer teams. His extensive experience in academia and secondary education showcases his expertise in mathematical instruction, research, and academic leadership, significantly impacting student learning and institutional development.

Awards and Honors 🏆🎖️

Mr. Ravinesh Chand has been recognized for his outstanding contributions to mathematics education and research. His commitment to academic excellence earned him accolades from Fiji’s leading educational institutions. As Head of Department, he received multiple commendations for his leadership in improving student performance in mathematics and physics. His research on digital signature schemes and applied mathematics has been acknowledged in academic circles, leading to invitations to present his work at conferences. His dedication to mentorship and student development has also been honored through appreciation awards from schools and tertiary institutions. In addition, his extracurricular involvement as a soccer coach has been recognized for fostering teamwork and discipline among students. His excellence in curriculum development, innovative teaching methods, and mathematical research continues to be celebrated, reinforcing his reputation as a distinguished educator and scholar in Fiji’s academic community.

Research Focus 🔬📊

Mr. Ravinesh Chand’s research primarily focuses on applied mathematics, digital signature schemes, cryptography, and mathematical modeling. His Master’s thesis explored “Digital Signature Scheme Over Lattices,” contributing to secure cryptographic protocols. His work involves analyzing the efficiency of mathematical structures in cybersecurity, aiming to enhance encryption techniques. His doctoral research further delves into computational mathematics and algorithmic problem-solving. His academic interests extend to mathematical pedagogy, exploring innovative methods to enhance student learning. His research integrates theoretical mathematics with practical applications, addressing real-world challenges in data security and computational modeling. Through independent studies and collaborative projects, he seeks to advance the understanding of mathematical frameworks in digital security. His contributions to applied mathematics continue to shape the academic discourse on cryptographic systems, making a lasting impact on both research and education in mathematics.

Publication Top Notes

  • Linear manipulator: Motion control of an n-link robotic arm mounted on a mobile slider – 📖 Heliyon 9 (1), Cited by: 17, Year: 2023
  • Switch controllers of an n-link revolute manipulator with a prismatic end-effector for landmark navigation – 🤖 PeerJ Computer Science 8, e885, Cited by: 16, Year: 2022
  • Navigation of an n-link revolute robotic arm via hierarchal landmarks – 🗺️ NILES Conference, Cited by: 10, Year: 2021
  • Lyapunov-based controllers of an n-link prismatic robot arm – 🏗️ IEEE Asia-Pacific Conference, Cited by: 9, Year: 2021
  • A car-like mobile manipulator with an n-link prismatic arm – 🚗 IEEE Asia-Pacific Conference, Cited by: 9, Year: 2021
  • Embedded FPGA-based motion planning and control of a dual-arm car-like robot – 🔧 IEEE SPEC Conference, Cited by: 8, Year: 2022
  • LbCS navigation controllers of twining Lagrangian swarm individuals – 🐝 NILES Conference, Cited by: 8, Year: 2021
  • Digital signature scheme over lattices – 🔐 IEEE Circuits Conference, Cited by: 7, Year: 2021
  • Acceleration Feedback Controller Processor Design of a Segway – 🛴 IEEE SPEC Conference, Cited by: 5, Year: 2022
  • Vertically Sliding Revolute Robotic Arm intended for automated Pick-and-Place Industrial applications – 🏭 IEEE Asia-Pacific Conference, Cited by: 3, Year: 2022