Umar Danjuma Maiwada | Computer Networks | Excellence in Research

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Mr. Umar Danjuma Maiwada | Computer Networks | Excellence in Research

Assistant Professor at University Teknologi PETRONAS, Malaysia

Mr. Umar Danjuma Maiwada is a dedicated educator and lecturer currently serving at Umaru Musa Yaradua University Katsina, where he contributes to the academic development of students in the field of Computer Science. He obtained his Bachelor of Science degree in Computer Science from Bayero University Kano, followed by a Master of Science from Jodhpur National University in India. Currently, he is pursuing a PhD in Information Technology at Universiti Teknology PETRONAS. Mr. Maiwada is committed to excellence in education, continually enhancing his skills through various certifications, including CCNA and ICT. He is also involved in research projects focusing on data communication and mobility management in wireless networks, reflecting his passion for advancing knowledge in his field.

Profile

Education

Mr. Umar Danjuma Maiwada is currently pursuing a PhD in Information Technology at Universiti Teknology PETRONAS, which he began in 2022. He holds a Master of Science in Computer Science from Jodhpur National University, India, earned between 2014 and 2016. Prior to this, he obtained a Bachelor of Science in Computer Science from Bayero University Kano, graduating with a Second Class Upper in 2012. His academic journey also includes a National Youth Service Corps Certificate completed in 2014, and earlier educational qualifications comprising a Senior School Certificate from Musa Iliasu College, Kano State, and a Junior School Certificate from Ulul-Albab Science Secondary School, Katsina. Additionally, he completed his primary education at Bayero University Staff Primary School in Kano.

Professional Experience

Mr. Umar Danjuma Maiwada has accumulated valuable professional experience in the field of education and technology. He has been serving as a Lecturer II at Umaru Musa Yaradua University Katsina since 2016, where he has contributed significantly to the academic environment by teaching various computer science courses and mentoring students. Prior to this role, he completed his National Youth Service Corps (NYSC) at the Federal Road Safety Corps, where he actively participated in community service and educational initiatives. Mr. Maiwada also gained teaching experience through a certificate program at GGDJSS Birnin-Kudu in Jigawa State, further enhancing his instructional skills. His diverse background in academia and commitment to educational excellence have positioned him as a valuable asset to his institution.

Research Interest

Mr. Umar Danjuma Maiwada’s research interests encompass a wide array of topics within the field of computer science, particularly focusing on information technology and network communication. His primary areas of interest include data communication, local area networks, and mobility management in advanced cellular networks such as LTE and 5G systems. Mr. Maiwada is particularly interested in exploring energy-efficient wireless network designs and the application of innovative algorithms for handover decision processes in mobile networks. Additionally, he is keen on the integration of emerging technologies, such as artificial intelligence, into computer networks to enhance performance and security. His research aims to contribute to the development of practical solutions that address contemporary challenges in network management and communication systems.

Research Skills

Umar Danjuma Maiwada is highly skilled in various aspects of computer networks and wireless communication. His research expertise includes data communication, where he has focused on improving local area networks. He is adept at mobility management, developing advanced handover decision algorithms for LTE networks, particularly in macrocell-femtocell interactions. Umar is also experienced in designing energy-efficient wireless networks for 5G systems, aiming to enhance performance and reduce energy consumption. Additionally, he has knowledge in virtualization, using VMWARE to deploy private cloud computing infrastructures, and in cryptography, ensuring information protection and computer security. These skills enable him to conduct cutting-edge research and contribute significantly to advancements in his field.

Award and Recognition

Umar Danjuma Maiwada has received several awards and recognitions throughout his academic and professional career. He holds multiple certifications, including the Cisco Certified Network Associate (CCNA) and certificates in Information Communication Technology (ICT) and Advanced Digital Appreciation Program for Tertiary Institutions (ADAPTI). His participation in various seminars and workshops, such as those on climate change, emerging trends in artificial intelligence, and new research opportunities, highlights his commitment to continuous learning and professional development. These accolades reflect his dedication to excellence and his contributions to the field of computer science.

Conclusion

Umar Danjuma Maiwada is a dedicated and accomplished researcher with a strong educational background, professional experience, and a commitment to continuous learning. His contributions to the field of computer science, particularly in data communication and mobility management, make him a strong candidate for the Research for Best Researcher Award. With a focus on increasing the impact of his research and engaging in more collaborative projects, Umar has the potential to make even more significant contributions to his field.

Publication Top Notes

  • “PWiseHA: Application of harmony search algorithm for test suites generation using pairwise techniques”
    • Journal: International Journal of Computer and Information Technology
    • Cited by: 11
    • Year: 2020
    • Volume: 9, Issue 4
  • “Using science, technology, and innovation (STI); in achieving sustainable development in developing countries (DCs)”
    • Journal: Journal of Technology Innovations and Energy
    • Cited by: 9
    • Year: 2022
    • Volume: 1, Issue 1
  • “An improved mobility state detection mechanism for femtocells in LTE networks”
    • Conference: International Conference on Decision Aid Sciences and Applications
    • Cited by: 5
    • Year: 2022
  • “Identifying actual users in a web surfing session using tracing and tracking”
    • Journal: JINAV: Journal of Information and Visualization
    • Cited by: 5
    • Year: 2020
    • Volume: 1, Issue 1
  • “Energy efficiency in 5G systems: A systematic literature review”
    • Journal: International Journal of Knowledge-based and Intelligent Engineering Systems
    • Cited by: 4
    • Year: 2024
  • “Introductory Technology as it Impacts Modern Society in the World (Nigeria as a Case Study)”
    • Journal: Journal of Technology Innovations and Energy
    • Cited by: 4*
    • Year: 2022
  • “Using LTE-sim in new hanover decision algorithm for 2-tier macrocell-femtocell LTE network”
    • Journal: International Journal of Computer and Information Technology
    • Cited by: 4
    • Year: 2020
    • Volume: 9, Issue 4

 

Abdul Wahab | Decision Making | Young Scientist Award

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Dr. Abdul Wahab | Decision Making | Young Scientist Award

PhD Scholar Mathematics at University of Management and Technology, Lahore, Pakistan

Dr. Abdul Wahab is a dedicated mathematician with expertise in mathematical modeling, numerical solutions of partial differential equations, and fluid mechanics. He holds both a Master’s and a Bachelor’s degree in Mathematics from Government College University, Faisalabad, Pakistan, where he graduated with distinction. His master’s thesis focused on the study of Arrhenius activation energy and thermo-bioconvection nanofluid flow, showcasing his skills in advanced mathematical research. Dr. Wahab has served as a lecturer and research assistant, contributing to the academic community through teaching and research. He has published several research papers in reputed journals and actively participates in international conferences and workshops. His research interests span mathematical physics, graph neural networks, and data analysis.

Profile

Education

Dr. Abdul Wahab holds a Master’s degree in Mathematics from Government College University, Faisalabad, Pakistan, which he completed in September 2022 with an impressive GPA of 3.80/4.00. His coursework included advanced subjects such as Numerical Analysis, Numerical Solutions of Partial Differential Equations (PDEs), Fuzzy Logics and its Applications, Mathematical Modelling, Algebra, Functional Analysis, and Advanced PDEs. His thesis, titled “Study of Arrhenius Activation Energy on the Thermo Bioconvection Nanofluid Flow over a Riga Plate by Using Shooting Method,” was supervised by Prof. Dr. Muhammad Imran and focused on fluid mechanics and numerical schemes for solving PDEs. Dr. Wahab also earned a Bachelor’s degree in Mathematics from the same institution in 2020, achieving a GPA of 3.80/4.00. His undergraduate studies covered a wide range of topics, including Calculus, Discrete Mathematics, Topology, Functional Analysis, Real and Complex Analysis, Linear Algebra, Ordinary and Partial Differential Equations, and Numerical Analysis.

Professional Experience

Dr. Abdul Wahab has accumulated valuable professional experience in the field of mathematics and academia. He served as a Lecturer in Mathematics at Aspire College, Dijkot Campus, Faisalabad, Pakistan, from June 2022 to October 2022, where he taught a variety of mathematics courses. Prior to that, from December 2020 to June 2022, he worked as a University Research Assistant in the Department of Mathematics at Government College University, Faisalabad, Pakistan. During this time, he assisted with research projects, collaborated with faculty members, and contributed to academic publications, while also gaining extensive experience in mathematical research and teaching.

Research Interest

Dr. Abdul Wahab’s research interests span a broad range of topics in mathematics and its applications. His primary focus is on Mathematical Modelling and Numerical Solutions of Partial Differential Equations (PDEs), where he explores complex problems in fluid mechanics and related areas. He is also deeply interested in Graph Neural Networks, Linear Algebra and its applications, and Data Analysis. Additionally, Dr. Wahab has a keen interest in Mathematical Physics and Fluid Mechanics, particularly in applying numerical schemes to solve real-world problems. His research aims to bridge theoretical mathematics with practical applications, contributing to advancements in both fields.

Research Skills

Dr. Abdul Wahab possesses a diverse set of skills that enhance his capabilities in both academic and research settings. He is proficient in various computational tools such as MATLAB and MATHEMATICA, which he uses extensively for mathematical modeling and solving complex numerical problems. Dr. Wahab is also adept at LaTeX, demonstrating his ability to create well-structured and professional academic documents. Additionally, he has basic coding knowledge in Python and is familiar with MATLAB’s advanced tools for mathematical analysis. His expertise extends to operating systems, particularly Windows, allowing him to seamlessly integrate his computational skills with research tasks.

Award and Recognition

Dr. Abdul Wahab has received notable awards and recognitions throughout his academic career. He was honored with a Prime Minister’s Laptop under the “Laptop Distribution Ceremony” at Government College University, Faisalabad, recognizing his academic excellence. This award was presented by the Vice Chancellor of GCUF, Pakistan. His achievements reflect his dedication to research and academic pursuits, contributing significantly to his professional development.

Conclusion

Considering Dr. Abdul Wahab’s outstanding academic performance, his research contributions, international conference participation, and dedication to advancing mathematical sciences, he stands as a strong contender for the Research for Young Scientist Award. His background and research trajectory suggest significant potential for future scientific breakthroughs.

Publication Top Notes

  • “An innovative approach to passport quality assessment based on the possibility q-rung ortho-pair fuzzy hypersoft set”
    • Journal: Heliyon
    • Cited by: 38
    • Year: 2023
    • Volume: 9, Issue 9
  • “A robust algorithmic framework for the evaluation of international cricket batters in ODI format based on q-rung linguistic neutrosophic quantification”
    • Journal: Heliyon
    • Cited by: 36
    • Year: 2023
    • Volume: 9, Issue 11
  • “A novel probabilistic q‑rung orthopair linguistic neutrosophic information‑based method for rating nanoparticles in various sectors”
    • Journal: Scientific Reports
    • Cited by: 25
    • Year: 2024
    • Volume: 14
  • “Innovative player evaluation: Dual-possibility Pythagorean fuzzy hypersoft sets for accurate international football rankings”
    • Journal: Heliyon
    • Year: 2024
    • Volume: 10
    • Page: 36993

Assoc Prof Dr. Ali Salmasnia | Decision Sciences | Best Researcher Award

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Assoc Prof Dr. Ali Salmasnia | Decision Sciences | Best Researcher Award

Associate Professor at University of Qom, Iran

Ali Salmasnia is an Associate Professor of Industrial Engineering renowned for his expertise in data analytics and optimization. With a strong background in Python and MATLAB programming, he excels in developing advanced optimization models and metaheuristics. Dr. Salmasnia has made substantial contributions to industrial engineering through his research on production planning, maintenance policies, and quality control, with notable publications in journals such as the Journal of Manufacturing Systems and Computers & Industrial Engineering. His work has garnered significant recognition, including multiple awards as the top researcher in Qom Province and at the University of Qom. Although his primary focus is on industrial optimization, his research methodologies have potential applications in environmental health, waste management, and other fields. Dr. Salmasnia’s innovative approaches and impactful research make him a leading figure in his field.

Profile

Education

Ali Salmasnia’s educational journey is marked by excellence and specialization in Industrial Engineering. He earned his Ph.D. in Industrial Engineering from Tarbiat Modares University in Tehran, Iran, from 2009 to 2013, graduating with a remarkable GPA of 18.80 and a dissertation grade of 20. Prior to that, he completed his Master’s degree in Industrial Engineering, focusing on Systems Optimization, at Shahed University, Tehran, with a GPA of 18.24 and a dissertation grade of 19.7. His foundational knowledge was established during his Bachelor’s studies at Mazandaran University of Science and Technology in Babol, where he achieved a GPA of 17.14 and a dissertation grade of 19.5. This strong academic background underscores his deep expertise in optimization and analytics, which he has leveraged throughout his professional career.

Professional Experience

Ali Salmasnia is an accomplished Associate Professor at the University of Qom since March 2018, where he teaches advanced courses in industrial engineering, including “Multivariate Analysis,” “Quality Control,” and “Engineering Economics.” Prior to this, he served as an Assistant Professor at the same university from January 2014 to March 2018. His previous roles include a Teaching Professional position at Amirkabir University of Technology and Tose’e Higher Education Institute, where he delivered courses on “Data Mining” and “Introduction to MATLAB.” Additionally, he worked as a Transportation and Fuel Expert for the Presidential Organization in Tehran, contributing to regulatory compilation and policy development. Dr. Salmasnia’s diverse experience underscores his expertise in optimization and data analytics, supported by his extensive academic and practical background in industrial engineering and statistical process monitoring.

Research Interest

Ali Salmasnia’s research interests primarily focus on optimization, data analytics, and industrial engineering. His expertise spans the development and application of advanced optimization models, metaheuristic algorithms, and statistical process monitoring. He is particularly interested in designing and analyzing production and maintenance policies, integrating quality control measures, and improving industrial processes through robust statistical techniques. His work includes developing innovative solutions for production run lengths, maintenance strategies, and control chart designs. Salmasnia’s research also delves into predictive analytics, utilizing methodologies such as neural networks and support vector machines to enhance process monitoring and fault detection. His contributions extend to practical applications in manufacturing, where his optimization techniques aim to improve efficiency and reduce operational costs. Overall, Salmasnia’s research integrates theoretical advancements with practical solutions to address complex industrial challenges.

Research Skills

Ali Salmasnia possesses a robust set of research skills that underpin his distinguished career in industrial engineering. His expertise in data analytics is exemplified by his proficiency in Python and MATLAB programming, which he uses to design and implement complex optimization models. Dr. Salmasnia is adept in mathematical modeling, statistical process monitoring, and meta-heuristic algorithms, enabling him to tackle intricate industrial problems and enhance process efficiencies. His skills extend to risk and reliability analysis, maintenance planning, and simulation, allowing him to develop comprehensive solutions for production and quality control challenges. Dr. Salmasnia’s ability to integrate various optimization techniques and apply them to real-world scenarios showcases his deep understanding of applied mathematics and industrial systems. These competencies make him a valuable asset in advancing research and practical applications within the field of industrial engineering.

Parasitology and Infectious Diseases

Dr. Salmasnia’s research does not directly pertain to parasitology or infectious diseases. However, the analytical techniques he uses could be applied to research in these fields, particularly in optimizing processes related to disease control and prevention.

Awards and Recognition

Dr. Salmasnia has received several prestigious awards, including:

  • Top Researcher of Qom Province (2023, 2018)
  • Top Researcher of University of Qom (2015, 2018, 2019, 2022, 2023)

These accolades highlight his outstanding research contributions and his recognition as a leading researcher in his field.

Conclusion

Ali Salmasnia is a distinguished researcher in industrial engineering with significant achievements in optimization, data analytics, and applied research. His contributions to the field are well-recognized through numerous awards and publications. His work not only advances theoretical knowledge but also provides practical solutions for industrial challenges, making him a strong candidate for the Best Researcher Award.

Publications Top Notes