Dr. Inam Illahi | Software Engineering | Best Researcher Award

Dr. Inam Illahi | Software Engineering | Best Researcher Award

Dr. Inam Illahi, Emerson University Mutlan, Pakistan

Inam Illahi is an accomplished Assistant Professor at Emerson University Multan, Pakistan. With a rich academic background and over a decade of teaching experience, he has made significant contributions to the field of computer science. Inam holds a PhD in Computer Science and Technology from the Beijing Institute of Technology, where he focused on Assistant Technologies for Crowdsourcing Software Development. His research encompasses machine learning, deep learning, and software development, yielding several publications in prestigious journals. In addition to his academic pursuits, Inam has worked in various educational institutions, enhancing the quality of education and fostering student engagement. His dedication to research and teaching reflects a passion for advancing knowledge and technology, making him a respected figure in his field. Inam’s commitment to improving educational practices and research outcomes highlights his role as a leader in academia.

Professioanl Profile

Google scholar

Summary of Suitability for the Research for Best Researcher Award

Inam Illahi is a highly qualified candidate for the Research for Best Researcher Award, showcasing a solid academic and professional background in computer science, particularly in the field of software development and machine learning. His extensive teaching experience at various reputable universities, including his current role as an Assistant Professor at Emerson University Multan, highlights his commitment to academia and his ability to contribute significantly to the educational sector.

🎓  Education

Inam Illahi’s educational journey is marked by notable achievements and a commitment to excellence. He earned his PhD in Computer Science and Technology from the Beijing Institute of Technology, China, between 2016 and 2022. His research during this time focused on Assistant Technologies for Crowdsourcing Software Development, resulting in impactful publications. Prior to his PhD, Inam completed his Master’s in Software Engineering and Management from Chalmers University of Technology, Sweden, in 2010, where he gained insights into software development practices. He also holds a Master of Computer Science from the University of Sargodha, Pakistan, which he completed in 2007. His educational foundation is complemented by a Bachelor of Arts in Computer Science and Economics from the same institution. Inam’s diverse academic experiences, along with his international exposure in Sweden and Denmark, have equipped him with a global perspective and a strong skill set in technology and education.

💼   Experience 

Inam Illahi possesses extensive experience in academia, contributing to various educational institutions over the past decade. Since March 2024, he has been serving as an Assistant Professor at Emerson University Multan, where he is involved in teaching and research activities. Before that, he held a Tenure Track Assistant Professor position at the University of Education, Lahore, Multan Campus, from August 2023 to March 2024. His earlier roles include Assistant Professor at the Institute of Southern Punjab and Lecturer positions at National Textile University, Faisalabad, and Riphah International University. Inam has also served as an Academic Coordinator at COMSATS Institute of Technology, where he played a crucial role in teaching and administration. His experience as a Deputy Director at the Quality Enhancement Cell at The University of Faisalabad further underscores his leadership abilities. Inam’s diverse roles highlight his commitment to enhancing the educational landscape through effective teaching and administrative practices.

🏅  Awards and Honors 

Inam Illahi’s commitment to excellence in research and education has earned him several accolades throughout his career. Notably, his innovative work in crowdsourcing software development and machine learning has resulted in multiple publications in reputable journals, receiving recognition from his peers. His research on the “Dr. Wheat” web-based expert system for diagnosing diseases in Pakistani wheat was presented at the International Conference of Information Security and Internet Engineering in London in 2008, showcasing his contributions to agricultural technology. In addition to research-related recognition, Inam has been actively involved in various academic committees and organizations, where his leadership skills have been acknowledged. His role as Deputy Director at The Quality Enhancement Cell highlighted his commitment to improving educational quality, further solidifying his reputation in academia. Inam’s dedication to research and education continues to inspire students and colleagues alike, contributing to his growing list of honors and achievements.

🌍  Research Focus

Inam Illahi’s research focuses primarily on the intersection of software development and artificial intelligence, with a particular emphasis on crowdsourcing and machine learning. His PhD thesis explored Assistant Technologies for Crowdsourcing Software Development, where he analyzed motivating and inhibiting factors for developers and success prediction in competitive crowdsourcing projects. His innovative contributions include the application of machine learning techniques for resolution prediction, enhancing the success rates of software development initiatives. Inam has published several influential papers in leading journals, examining various aspects of software project management and quality assurance. Notable works include studies on bug report prioritization using convolutional neural networks and severity prediction models. Through his research, Inam aims to bridge the gap between theory and practice in software development, providing valuable insights and tools for industry practitioners. His commitment to advancing knowledge in this rapidly evolving field makes him a key player in the research community.

📖 Publications Top Notes

  • Title: Deep neural network-based severity prediction of bug reports
    Cited by: 94
  • Title: CNN-based automatic prioritization of bug reports
    Cited by: 85
  • Title: Dr. Wheat: a Web-based expert system for diagnosis of diseases and pests in Pakistani wheat
    Cited by: 79
  • Title: Serum tumor necrosis factor-alpha as a competent biomarker for evaluation of disease activity in early rheumatoid arthritis
    Cited by: 19
  • Title: An empirical study on competitive crowdsource software development: motivating and inhibiting factors
    Cited by: 13

Eliyad Yamini | Renewable Energy | Best Researcher Award

Eliyad Yamini | Renewable Energy | Best Researcher Award

Research Assistant at K. N. Toosi University of Technology,Iran

Eliyad Yamini is an emerging scholar in the fields of energy and mechanical engineering, recognized for his exceptional academic performance and innovative research contributions. With a solid foundation in renewable energy systems, optimization, and emerging technologies, Yamini’s work is poised to make significant impacts in these critical areas. His dedication to advancing energy solutions and his remarkable achievements underscore his suitability for the Best Researcher Award.

Professional Profile 

Google scholar 

Scopus

🎓Education

Eliyad Yamini completed his Bachelor’s degree in Mechanical Engineering at Islamic Azad University, Tabriz, Iran, with a notable GPA of 17.94/20. His final project investigated dynamic instability in multilayer composite panels, showcasing his analytical skills. Currently pursuing an MSc in Energy Conversion Engineering at K. N. Toosi University of Technology, Tehran, Iran, Yamini is focusing on the integration and optimization of solar power and geothermal energy, with a GPA of 17.31/20.

💼Work Experience

Yamini’s professional experience includes roles as a Research Assistant and Teacher Assistant at Khaje Nasir University of Technology, where he has contributed to academic research and supported educational activities. He also serves as a Scientific Researcher at Mosala Research Center, further enhancing his practical and research skills in the field.

🔍Research Focus 

Yamini’s research spans several critical areas in energy and mechanical engineering. His interests include:

  • Renewable Energy Systems: Developing sustainable and efficient energy solutions.
  • Desalination Systems: Improving methods for water purification.
  • Heat Transfer and Fluid Mechanics: Analyzing and optimizing thermal processes.
  • Optimization Techniques: Enhancing system performance and efficiency.
  • Energy Storage Systems: Advancing technologies for energy storage and management.
  • Hydrogen, Biogas, and Biofuels: Exploring alternative energy sources.
  • CO2 Capture Technologies: Addressing climate change through carbon capture.
  • Emerging Technologies: Integrating AI, Digital Twins, and the Metaverse into engineering solutions.

🏆Awards and Honors

Eliyad Yamini has received several accolades reflecting his academic excellence and research prowess:

  • Rank 1 in Bachelor’s Degree: Graduated at the top of his class with a GPA of 3.6/4 from Islamic Azad University.
  • Top Student Award: Recognized as a top student during high school by the National Organization for Development of Exceptional Talents (Sampad).
  • Top 1% in Iran’s 2021 Master Exam: Achieved a top percentile ranking, enabling admission to K. N. Toosi University.
  • Reviewer for Frontiers in Energy Research (2024): Contributed as a peer reviewer for a leading journal in energy research.

Conclusion

Eliyad Yamini is a compelling candidate for the Best Researcher Award. His exceptional academic record, diverse research focus, and significant achievements reflect his dedication and potential in advancing the field of energy and mechanical engineering. His innovative approach and contributions make him a standout choice for this prestigious award.

📖Publications : 

        1. Comparative Evaluation of Advanced Adiabatic Compressed Gas Energy Storage Systems
          Year: 2023
          Journal: Journal of Energy Storage
          Emojis: ⚙️🔋📊
        2. Navigating Challenges in Large-Scale Renewable Energy Storage: Barriers, Solutions, and Innovations
          Year: 2024
          Journal: Energy Reports
          Emojis: 🌍🔋🚧
        3. Optimizing Cogenerated Systems: A Dual Perspective on Thermodynamics and Economics with Integrated Desalination
          Year: 2024
          Journal: Available at SSRN
          Emojis: 🔬💧💰
        4. A Study on Association Between Pregnancy-Associated Plasma Protein-A Levels in the First Trimester and Gestational Diabetes Mellitus
          Year: 2018
          Journal: International Journal of Advanced Research In Medical & Pharmaceutical Sciences
          Emojis: 🩺📉🤰
        5. A Clinical Study on the Relationship Between Maternal Hemoglobin and Gestational Diabetes Mellitus in Hyderabad Population
          Year: 2018
          Journal: International Journal of Advanced Research In Medical & Pharmaceutical Sciences
          Emojis: 🩸📚🩺