Bushra Naz | Deep learning | Best Researcher Award

Dr. Bushra Naz | Deep learning | Best Researcher Award

Associate professor at Mehran University of Engineering and Technology| Pakistan

Dr. Bushra Naz is an accomplished academic and researcher with expertise in artificial intelligence, deep learning, image processing, hyperspectral image classification, and pattern recognition. Serving as an Associate Professor and PhD supervisor, she has made significant contributions to advancing knowledge through impactful research and dedicated mentorship. Her funded projects include innovative solutions in speech emotion recognition, assistive technologies for visually impaired individuals, water quality monitoring, and sustainable agriculture, reflecting a strong focus on societal benefit. She has published widely, reviewed for leading international journals, and actively participated in global conferences as a session chair and committee member. Her achievements are further recognized through prestigious scholarships, research fellowships, and honors that demonstrate her academic excellence and leadership. With a commitment to bridging theory and practice, Dr. Naz continues to drive interdisciplinary collaborations and inspire future researchers, positioning herself as a leader in advancing AI-driven solutions for real-world challenges.

Professional Profile 

Google Scholar

Education

Dr. Bushra Naz has a strong academic foundation in computer systems and engineering, beginning with a bachelor’s degree in Computer Systems Engineering, followed by a master’s degree in Communication Systems and Networks. She pursued her doctoral studies at Nanjing University of Science and Technology, China, where she completed a PhD in Computer Science and Engineering with a research focus on machine learning and hyperspectral image classification. Her doctoral thesis explored advanced elastic-net representation methods for image classification, demonstrating her early commitment to innovative AI-driven solutions. She also earned international recognition during her doctoral journey, supported by prestigious scholarships and fellowships, which allowed her to gain global exposure and strengthen her research expertise. With a solid academic trajectory rooted in both national and international institutions, Dr. Naz has combined technical depth with interdisciplinary knowledge, equipping her with the skills to pursue cutting-edge research while training the next generation of scholars and professionals.

Experience

Dr. Bushra Naz brings extensive academic and research experience spanning over a decade. She began her professional journey as a laboratory lecturer, progressively advancing to lecturer, assistant professor, and currently serves as an associate professor in the Department of Computer Systems Engineering at Mehran University of Engineering and Technology, Jamshoro. In these roles, she has taught a diverse range of subjects including microprocessors, operating systems, digital image processing, machine learning, deep learning, and artificial intelligence, shaping the technical skills of numerous students. Beyond teaching, she has taken on leadership roles in departmental committees, project supervision, curriculum review, and outcome-based education implementation. Her responsibilities also include supervising undergraduate, master’s, and doctoral research projects, many of which align with pressing technological and societal challenges. Through her experience, she has built a reputation as a dedicated educator, innovative researcher, and academic leader who seamlessly integrates research and teaching to drive meaningful outcomes.

Research Focus

Dr. Bushra Naz’s research focus lies in the application of artificial intelligence and machine learning to solve complex real-world problems. Her expertise covers deep learning, neural networks, hyperspectral imaging, image classification, object detection, and pattern recognition. She has conducted pioneering research in spectral-spatial methods for image classification, advancing techniques in optimization and sparse representation. Her projects span diverse domains, including speech emotion recognition, augmented reality-based navigation for the visually impaired, IoT-driven water quality monitoring, crop sensing for sustainable agriculture, and accident detection systems. This interdisciplinary approach highlights her commitment to applying AI solutions for societal impact, sustainability, and technological innovation. In addition, she actively contributes as a reviewer for high-impact journals and participates in international conferences as a session chair, strengthening global research dialogue. By integrating technical rigor with practical application, Dr. Naz continues to expand the frontiers of AI research while addressing challenges that directly benefit communities and industries.

Award and Honor

Dr. Bushra Naz’s academic excellence and research contributions have been recognized through numerous awards and honors at national and international levels. She received the prestigious China Scholarship Council award for her PhD studies and was further distinguished with the ELITE Scholarship as the Best Foreign Student during her doctoral program. Her excellence in research was acknowledged with honor certificates and rewards for her publications in IEEE journals. Earlier in her career, she earned the Higher Education Commission of Pakistan’s fully funded scholarship for her master’s studies and received merit-based scholarships during her undergraduate years. She also secured the UNESCO/People’s Republic of China Co-Sponsored Fellowship as a senior research scholar, reflecting her growing international recognition. These accolades not only highlight her academic dedication but also underscore her ability to compete successfully at global platforms. Collectively, her awards showcase her talent, perseverance, and impactful contributions to engineering and computer science research.

Publication Top Notes

  • Title: Sustainable Higher Education Reform Quality Assessment Using SWOT Analysis with Integration of AHP and Entropy Models: A Case Study of Morocco
    Year: 2021
    Citations: 64

  • Title: Spatial-Hessian-feature-guided variational model for pan-sharpening
    Year: 2015
    Citations: 50

  • Title: Fast superpixel based subspace low rank learning method for hyperspectral denoising
    Year: 2018
    Citations: 44

  • Title: Bilayer elastic net regression model for supervised spectral-spatial hyperspectral image classification
    Year: 2016
    Citations: 28

  • Title: Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco
    Year: 2021
    Citations: 25

  • Title: Onion Crop Monitoring with Multispectral Imagery using Deep Neural Network
    Year: 2021
    Citations: 14

  • Title: A machine learning framework for major depressive disorder (MDD) detection using non-invasive EEG signals
    Year: 2025
    Citations: 13

  • Title: Sustainable higher education reform quality assessment using SWOT Analysis with integration of AHP and Entropy models: A case study of Morocco
    Year: 2021
    Citations: 13

  • Title: Local and nonlocal context-aware elastic net representation-based classification for hyperspectral images
    Year: 2017
    Citations: 8

  • Title: Hyperspectral image classification via Elastic Net Regression and bilateral filtering
    Year: 2015
    Citations: 8

Conclusion

Dr. Bushra Naz has established herself as a distinguished researcher and academic leader with a significant impact in the fields of artificial intelligence, machine learning, and hyperspectral image analysis. Her extensive research portfolio demonstrates a balance of theoretical innovation and practical application, addressing societal challenges such as sustainable agriculture, water quality monitoring, assistive technologies, and mental health detection. With a strong record of high-impact publications, international collaborations, research supervision, and active participation in conferences and editorial roles, she has consistently contributed to advancing knowledge and mentoring future researchers. Her achievements are further reinforced by prestigious awards, fellowships, and funded projects that recognize her scholarly excellence and leadership. Overall, Dr. Naz exemplifies the qualities of a visionary researcher—innovative, dedicated, and socially responsible—making her a highly deserving candidate for recognition through the Best Researcher Award.

Karthikeyan P | Deeplearning | Best Paper Award

Dr. Karthikeyan P | Deeplearning | Best Paper Award

Associate Professor, RV University, India

Dr. P. Karthikeyan is an Associate Professor at the School of Computer Science and Engineering, RV University, Bengaluru, with extensive expertise in Cloud Computing, Deep Learning, and Blockchain. With over 50 published research papers in international journals and conferences, Dr. Karthikeyan has significantly contributed to advancing knowledge in computer science. He has delivered over 30 talks and conducted workshops on emerging technologies, emphasizing practical applications of cloud infrastructure, deep learning, and programming. Throughout his career, he has worked with governmental projects in Taiwan and Saudi Arabia. His commitment to teaching is driven by his belief in using computer science to uplift society and improve lives. He is passionate about creating enriching learning experiences for students while fostering a collaborative academic environment.

Profile

Education 

Dr. P. Karthikeyan holds a Ph.D. from Anna University, Chennai (2018), with a focus on improving Virtual Machine instance allocation algorithms in cloud environments. He earned his M.E. in Computer Science & Engineering from Anna University Coimbatore (2009), with an impressive CGPA of 9.36/10.00. His undergraduate studies were completed at Muthayammal Engineering College, Namakkal, where he obtained a B.E. in Computer Science & Engineering (2005) with a percentage of 73%. Additionally, he holds a Diploma in Electrical and Electronics Engineering from Muthayammal Polytechnic College, Namakkal, with a percentage of 87%. Dr. Karthikeyan’s educational foundation laid the groundwork for his future academic and research achievements in the field of computer science, particularly in cloud computing, deep learning, and blockchain technologies.

Experience

Dr. P. Karthikeyan has a rich teaching and research background, currently serving as an Associate Professor at RV University, Bengaluru, since September 2023. He previously held academic positions as Associate Professor at Jain Deemed-to-be University (2021–2022) and Parul University (2020–2021), where he also led the Department of Computer Science and Engineering. Dr. Karthikeyan’s international experience includes serving as a Post-Doctoral Researcher at National Chung Cheng University, Taiwan (2022–2023). His early career includes teaching roles at Presidency University, Bengaluru, and Karunya Institute of Technology and Sciences, Coimbatore, where he shaped the next generation of computer scientists. He has also contributed to the development of significant government projects in Taiwan and Saudi Arabia. Dr. Karthikeyan teaches subjects related to System Software, Cloud Computing, Deep Learning, and Cryptography, while guiding students in advanced research in these areas.

Awards and Honors 

Dr. P. Karthikeyan has been recognized for his exceptional contributions to research and academia. Notably, he received the Best Young Researcher Award (Male) at the 2nd International Academic and Research Excellence Awards (IARE) in 2020, acknowledging his significant research achievements in the field of computer science. His work in cloud computing, deep learning, and blockchain has led to over 50 publications in prestigious journals and conferences, further solidifying his reputation as a leading academic in these fields. Dr. Karthikeyan has also been a key speaker and workshop facilitator, sharing his knowledge in over 30 talks globally. His continued commitment to research and education, coupled with his active involvement in international collaborations and government projects, highlights his contribution to the development of technology and education.

Research Focus 

Dr. P. Karthikeyan’s research interests lie at the intersection of Cloud Computing, Deep Learning, and Blockchain technologies. He focuses on optimizing cloud environments, particularly through virtual machine instance allocation algorithms, and has contributed significantly to enhancing cloud infrastructure. His work in deep learning spans multiple domains, from intrusion detection in IoT environments to applications in medical imaging and intelligent traffic management. Additionally, Dr. Karthikeyan’s research in blockchain explores its use in IoT security, supply chain management, and energy transaction markets. He is also deeply involved in research on federated learning, explainable AI, and blockchain-enabled solutions for privacy and security. Through his research, Dr. Karthikeyan aims to develop socially relevant applications that not only advance academic knowledge but also contribute to solving real-world problems, such as improving supply chain security and advancing sustainable smart grid technologies.

Publications

  1. Hybrid electro search with genetic algorithm for task scheduling in cloud computing – Ain Shams Engineering Journal 🌐📅
  2. Detection of distributed denial of service attack in cloud computing using optimization-based deep networks – Journal of Experimental & Theoretical AI 📉⚡
  3. Blockchain Technology: Challenges and Security issues in Consensus algorithm – International Conference on Computer Communication and Informatics 🔗🔐
  4. A survey on blockchain techniques for Internet of Vehicles security – Transactions on Emerging Telecommunication Technologies 🚗🔒
  5. Review of Blockchain-based IoT application and its security issues – International Conference on Intelligent Computing 🌐🔍
  6. Efficient lightweight privacy-preserving mechanism for Industry 4.0 based on elliptic curve cryptography – IEEE Transactions on Industrial Informatics 🏭🔐
  7. Reinforcement learning integrated in heuristic search for self-driving vehicle using blockchain in supply chain management – International Journal of Intelligent Networks 🚗📊
  8. Seafood supply chain management using blockchain – International Conference on Advanced Computing 🦐🔗
  9. Hybrid optimization scheme for intrusion detection using feature selection – Neural Computing and Applications 🛡️🧠
  10. Perishable food products in cold supply chain management using blockchain technology🌐