Mamoona Humayun | Artificial intelligence | Best Researcher Award

Dr. Mamoona Humayun | Artificial intelligence | Best Researcher Award

Senior Lecturer at University of Roehampton, United Kingdom

Dr. Mamoona Humayun is a distinguished academician and researcher with over 15 years of experience in teaching and administrative roles across international institutions. She holds a Ph.D. in Computer Sciences from Harbin Institute of Technology, China. Her expertise encompasses artificial intelligence, cybersecurity, predictive analytics, and IoT integration in healthcare. She has authored over 200 publications and secured more than 20 funded research grants, reflecting her commitment to advancing innovation and technology-driven solutions in various domains.

Profile

Google Scholar

Education

Dr. Humayun has an impressive educational background. She earned her Ph.D. in Computer Science from Harbin Institute of Technology, China, in 2014. She holds two master’s degrees: one in Software Engineering from International Islamic University, Islamabad (2011), and another in Computer Science from the same institution (2005). Her academic journey began with a Bachelor of Science in Mathematics from F.G. College for Women, Islamabad, where she graduated with honors in 2002.

Experience

Dr. Humayun has held significant positions throughout her career. She currently serves as a Senior Lecturer at the University of Roehampton, London, UK. Previously, she was an Assistant Professor at Jouf University, Saudi Arabia, where she also coordinated research and accreditation programs. She has served in various roles at PMAS-Arid Agriculture University, Pakistan, and other institutions, contributing extensively to curriculum development, research supervision, and administrative operations.

Research Interests

Dr. Humayun’s research interests lie in artificial intelligence, cybersecurity, healthcare informatics, and IoT systems. She focuses on AI-driven chronic disease management, secure software development, and IoT integration for remote patient monitoring. Her innovative work extends to disability advocacy through AI and predictive analytics for improving healthcare outcomes.

Awards

Dr. Humayun’s accolades include being named a distinguished researcher at Jouf University for 2021-2022. She received the second-best researcher award at the College of Computer and Information Sciences. Additionally, her innovative projects and contributions have garnered recognition across academic and professional platforms.

Publications

“Cyber security threats and vulnerabilities: a systematic mapping study”

  • Year: 2020
  • Citations: 395

“Emerging smart logistics and transportation using IoT and blockchain”

  • Year: 2020
  • Citations: 278

“Internet of things and ransomware: Evolution, mitigation and prevention”

  • Year: 2021
  • Citations: 254

“Detection of skin cancer based on skin lesion images using deep learning”

  • Year: 2022
  • Citations: 208

“Secure healthcare data aggregation and transmission in IoT—A survey”

  • Year: 2021
  • Citations: 204

“Analysis of software development methodologies”

  • Year: 2019
  • Citations: 150

“Blockchain for Internet of Things (IoT) research issues challenges & future directions: A review”

  • Year: 2019
  • Citations: 132

“Energy optimization for smart cities using IoT”

  • Year: 2022
  • Citations: 121

“Cyber security issues and challenges for smart cities: A survey”

  • Year: 2019
  • Citations: 119

“Hybrid smart grid with sustainable energy efficient resources for smart cities”

  • Year: 2021
  • Citations: 117

“Privacy protection and energy optimization for 5G-aided industrial Internet of Things”

  • Year: 2020
  • Citations: 116

Conclusion

Dr. Mamoona Humayun’s exceptional achievements in research, innovation, and academic leadership make her an outstanding candidate for the “Research for Best Researcher Award.” Her contributions have not only advanced her field but also inspired students, peers, and the global research community.

Zhichao Qiu | Deep Learning | Best Researcher Award

Dr. Zhichao Qiu | Deep Learning | Best Researcher Award

Doctoral candidate | Northeastern University | China

Dr. Zhichao Qiu is a dedicated researcher and doctoral candidate in Electrical Engineering at Northeastern University. His academic journey is marked by a strong focus on integrating deep learning technologies into power systems, with a particular emphasis on optimizing smart grids and renewable energy solutions. Dr. Qiu’s work seeks to address pressing challenges in energy systems, including load forecasting, system stability, and the efficient integration of renewable resources. Through innovative research projects and collaborations, he aspires to contribute to the intelligent and sustainable evolution of the energy industry, promoting the global adoption of renewable energy technologies.

Profile

Scopus

Education

Dr. Qiu’s academic foundation is built on rigorous training in Electrical Engineering, with specialized expertise in deep learning applications for power systems. He is currently pursuing a doctoral degree at Northeastern University, where his coursework and research align with cutting-edge advancements in smart grid optimization and renewable energy. His education has equipped him with a robust understanding of data-driven system optimization, power system control, and energy resource management, preparing him to tackle complex interdisciplinary challenges in the energy sector.

Experience

Dr. Qiu has amassed valuable experience through participation in various high-impact research projects. These include developing lightweight energy management technologies for distribution networks and optimizing rural micro-energy networks to support the adoption of new energy vehicles. His hands-on involvement in these initiatives has honed his expertise in predictive modeling, system optimization, and intelligent scheduling. Moreover, Dr. Qiu’s collaboration on interdisciplinary teams has provided him with practical insights into the application of theoretical research to real-world challenges in energy systems.

Research Interests

Dr. Qiu’s research interests center on the intersection of deep learning and power systems. He focuses on leveraging advanced algorithms to enhance renewable energy forecasting, optimize virtual power plant operations, and improve grid stability. His work also explores intelligent control strategies for energy distribution, particularly in integrating flexible energy resources and microgrids. Dr. Qiu is passionate about applying his expertise to advance the intelligent development of energy systems, with a vision of creating a more sustainable and efficient energy future.

Awards and Recognitions

Dr. Qiu has been recognized for his innovative contributions to electrical engineering and energy research. His groundbreaking work in deep learning applications for power systems has garnered attention within the academic community, leading to nominations for prestigious awards such as the Best Researcher Award. These accolades highlight his dedication to advancing sustainable energy solutions and his impactful role in the field.

Publications

Dr. Qiu has authored several impactful research papers, reflecting his contributions to the fields of electrical engineering and renewable energy:

“Research on Non-Destructive and Rapid Detection Technology of Foxtail Millet Moisture Content Based on Capacitance Method and Logistic-SSA-ELM Modelling”Frontiers in Plant Science, 2024 (Cited by multiple studies in agricultural technology).

“Wind and Photovoltaic Power Generation Forecasting for Virtual Power Plants Based on the Fusion of Improved K-Means Cluster Analysis and Deep Learning”Sustainability, 2024 (Highly referenced in renewable energy forecasting research).

“Operating Model Study of Micro Energy Network Considering Economy and Security of Distribution Grids” – Presented at the 8th IEEE Conference on Energy Internet and Energy System Integration, 2024 (Recognized for practical applications in grid security).

These publications showcase Dr. Qiu’s commitment to advancing data-driven methods for power system management and renewable energy optimization.

Conclusion

Dr. Zhichao Qiu exemplifies the spirit of innovation and collaboration in electrical engineering. His research bridges the gap between deep learning technologies and practical energy solutions, addressing key challenges in renewable energy integration and smart grid optimization. Through his academic pursuits, research contributions, and publications, Dr. Qiu demonstrates a steadfast commitment to advancing the field of energy systems and promoting the adoption of sustainable energy technologies globally.