Mahfooz Alam | Cloud Computing | Best Researcher Award

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Assist. Prof. Dr. Mahfooz Alam | Cloud Computing | Best Researcher Award

Assistant professor, G. L. Bajaj College of Technology and Management, Greater Noida, India

Dr. Mahfooz Alam is an esteemed academician and researcher in the field of Computer Science, specializing in Cloud Computing, Internet of Things (IoT), Workflow Scheduling, and Machine Learning 🤖. He is currently serving as an Assistant Professor in the Department of MCA at G. L. Bajaj College of Technology and Management, Greater Noida, India 🇮🇳. With a strong academic background and years of teaching experience, Dr. Alam is dedicated to advancing knowledge in secured workflow allocation and innovative computing methodologies. His research contributions are well-recognized, with publications in reputed journals, including IEEE, Springer, Elsevier, and Wiley 📚.

Publication Profile

Google Scholar

🎓 Education

Dr. Mahfooz Alam holds a Ph.D. in Computer Science from Aligarh Muslim University (AMU), Aligarh, India 🎓. He pursued his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. Additionally, he completed his B.C.A. and M.C.A. from Indira Gandhi National Open University (IGNOU), New Delhi. His academic journey reflects his commitment to excellence in research and innovation in computing technologies 🖥️.

💼 Experience

Dr. Alam has a wealth of teaching and research experience, having served as an Assistant Professor at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, for six years 🏫. Currently, he holds the position of Assistant Professor at G. L. Bajaj College of Technology and Management, Greater Noida. His dedication to mentoring students and contributing to research has made him a respected figure in academia. His expertise extends to cutting-edge domains such as heuristic and meta-heuristic approaches in secured workflow allocation 🔬.

🏆 Awards and Honors

Dr. Mahfooz Alam has been recognized for his significant contributions to computer science research. His work has been published in high-impact international journals and conferences, gaining citations and recognition from fellow researchers worldwide 🌍. His contributions to machine learning applications and cloud computing security have positioned him as a thought leader in the field.

🔬 Research Focus

Dr. Alam’s research primarily focuses on Cloud Computing, IoT, Workflow Scheduling, and Load Balancing ☁️. He explores innovative approaches to software defect prediction, cybersecurity in IoT, and machine learning-driven optimization techniques. His research integrates heuristic, meta-heuristic, and reinforcement learning methods to address challenges in secure computing environments 🔍.

🔚 Conclusion

Dr. Mahfooz Alam is a dedicated academician and researcher contributing extensively to cloud computing, machine learning, and IoT security. His publications, teaching, and research endeavors continue to impact the field, shaping innovative solutions for complex computational challenges 🚀. With a strong passion for advancing knowledge and technology, Dr. Alam remains a prominent figure in the global research community 🌏.

📜 Publications

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction (IEEE Access, 2025) 📖 DOI: 10.1109/ACCESS.2024.3517419

Software Defects Prediction Using Generative Adversarial Network Based Data Balancing (Book Chapter, 2025) 📖 DOI: 10.1007/978-3-031-83790-6_22

Reinforcing Defect Prediction: A Reinforcement Learning Approach  (Iran Journal of Computer Science, 2025) 📖 DOI: 10.1007/s42044-024-00214-8

Ensemble Deep Learning Techniques for Time Series Analysis (Cluster Computing, 2025) 📖 DOI: 10.1007/s10586-024-04684-0

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model  (Algorithms, 2025) 📖 DOI: 10.3390/a18020099

Cybersecurity Challenges for Social, Ad-hoc, and Sensor Networks in IoT  (Wireless Ad-hoc and Sensor Networks, 2024) 📖 DOI: 10.1201/9781003528982-12

Performance Evaluation on Detection of Phishing Websites Using Machine Learning Techniques (ICEECT, 2024) 📖 DOI: 10.1109/iceect61758.2024.10739275

Empowering IoT Security (Book Chapter, 2024) 📖 DOI: 10.1201/9781003460367-11

A Trustworthy Hybrid Model for Transparent Software Defect Prediction: SPAM-XAI (PLOS ONE, 2024) 📖 DOI: 10.1371/journal.pone.0307112

Security Challenges for Workflow Allocation Model in Cloud Computing Environment: A Comprehensive Survey, Framework,
Taxonomy, Open Issues, and Future Directions  (Journal of Supercomputing, 2024) 📖 DOI: 10.1007/s11227-023-05873-1

José Olimpio Batista Jr. | Computer Networks | Best Researcher Award

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Dr. José Olimpio Batista Jr. | Computer Networks | Best Researcher Award

Postdoctoral researcher in Computer Engineering, Escola Politécnica da Universidade de São Paulo (EP-USP, the School of Engineering – University of São Paulo), Brazil

José Olimpio Rodrigues Batista Jr. is a dedicated postdoctoral researcher in Computer Engineering at the Escola Politécnica da Universidade de São Paulo (EP-USP) in Brazil. With a strong background in telecommunications and data communication systems, José has made significant contributions to advancing 5G technologies and digital health applications, particularly through the OpenCare5G project. His work emphasizes the intersection of technology and healthcare, aiming to expand access to medical services in Brazil and beyond.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Research & Innovation: José Olimpio Rodrigues Batista Jr.’s research in 5G technology, particularly in the OpenCare5G project, is groundbreaking. His work in expanding access to healthcare using 5G and digital health applications reflects both technical expertise and social impact, which are highly valued in awards.
  2. Collaboration & Multidisciplinary Approach: The OpenCare5G project showcases José’s ability to collaborate with leading institutions, such as Deloitte, ANATEL, and Itaú Bank, demonstrating his ability to work across sectors and disciplines.
  3. Academic and Industry Contributions: José has published extensively in top journals (SCI, Scopus) and authored a book on wireless sensor networks in agriculture, furthering his reputation as a thought leader in telecommunications and 5G technologies.
  4. Real-World Application: His contributions to healthcare and telecommunications have tangible societal impacts, such as reducing medical costs, improving access to quality healthcare, and promoting sustainability by lowering the sector’s carbon footprint.
  5. Leadership and Expertise in Telecommunications: His extensive professional background with Huawei and other organizations has equipped him with experience in managing large-scale, complex data communication projects, making him a valuable figure in both academic and industry settings.

Areas for Improvement:

  1. Broader Impact Documentation: While his research impact on healthcare and telecommunications is significant, additional documentation on his contributions to public policy or broader socio-economic outcomes could strengthen his case.
  2. International Recognition: Further emphasis on international collaborations, beyond his work in Brazil and Latin America, could help boost his profile as a global thought leader.
  3. Community Engagement & Mentorship: Highlighting his contributions to mentoring young researchers or community outreach would add a personal dimension to his technical achievements.

 

Education

José holds a Ph.D. in Computer Engineering from EP-USP, earned in 2023. He completed his B.Sc. in Electronic Engineering from Mackenzie Presbyterian University in 1998, laying the foundation for his expertise in telecommunications and complex data communication networks.

Experience

José has extensive professional experience, having worked for Huawei Technologies from 2001 to 2017 in various roles, including project management and data communication product line management. His work focused on implementing and operating large-scale communication projects across Brazil, Peru, Ecuador, and Mexico. He is currently an associate researcher with the Science and Technology Center (CCT) and the São Paulo Research Foundation (FAPESP), contributing to various multidisciplinary initiatives, including OpenCare5G.

Research Focus

José’s research interests center around the development of 5G/B5G, Internet of Things (IoT), Network Function Virtualization (NFV), Software-Defined Networking (SDN), Non-Terrestrial Networks (NTN), and distributed cloud computing. His innovative research on the OpenCare5G project focuses on the application of advanced telecommunications systems to improve access to healthcare services and reduce carbon footprints in the medical sector.

Awards and Honors

José has co-authored several books and journal articles in prestigious international journals, contributing to the fields of 5G and telecommunications. His work on the OpenCare5G project has been widely recognized for its impact on healthcare and digital services in Brazil. He has also served as an editorial appointee for the journal Computer Communications and actively collaborates with the Asia Open RAN Academy.

Publications

José has contributed to numerous high-impact research publications, including articles in journals like Applied Sciences and Sensors, and conference proceedings such as the ICTC and EFITA Congress. His doctoral thesis, titled 5G-Transversal, explored a hierarchical framework for federated orchestration of 5G networks. He has also published books, such as Evaluating the performance of a simulated softwarized agricultural wireless sensor network in collaboration with Springer International Publishing.

5G-Transversal: um framework para orquestração hierárquica federada dos serviços de redes 5G e gerações futuras em domínios heterogêneos.

OpenCare5G: O-RAN in Private Network for Digital Health Applications

Redes Computacionais e Tecnologia 5G em Medicina

A Novel Approach to Multi-Provider Network Slice Selector for 5G and Future Communication Systems

Evaluating the Performance of a Simulated Softwarized Agricultural Wireless Sensor Network

A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

Conclusion:

José Olimpio Rodrigues Batista Jr. is a strong candidate for the Best Researcher Award, particularly due to his pioneering work in 5G technologies applied to healthcare. His expertise in telecommunications, coupled with his interdisciplinary collaborations, demonstrates his capacity for innovation and societal impact. If he strengthens his portfolio with a more global outreach and community-focused initiatives, he would be even more competitive for top-tier awards.