Dr. Sunkari Pradeep | Optimization Awards | Best Researcher Award

Dr. Sunkari Pradeep, Malla Reddy Engineering College for Women, India

Dr. S. Pradeep is an Associate Professor and Head of Research & Development at Malla Reddy Engineering College for Women in Secunderabad, India. With a Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, his academic journey includes an M.Tech from JNT University Hyderabad and a B.Tech from the same institution. Dr. Pradeep has held various positions in academia, including roles at Bhoj Reddy Engineering College and Jayaprakash Narayan College of Engineering. His research interests span Wireless Sensor Networks, Artificial Intelligence, Cyber Security, Data Science, and Cloud Computing. He has contributed significantly to the field through patents, books, and publications, and has served as a keynote speaker on AI for banking. Dr. Pradeep is also a member of professional bodies such as IEEE, ACM, and IAENG.

Professional Profile:

Google Scholar

Dr. S. Pradeep’s Suitability for Best Researcher Award – Summary and Conclusion

Dr. S. Pradeep is a highly suitable candidate for the Best Researcher Award. His extensive research in emerging fields, significant academic contributions, and active involvement in professional communities showcase his dedication and impact in the field of computer science and engineering. His achievements and ongoing work align well with the criteria for this prestigious award, making him a strong contender.

🎓Education:

Dr. S. Pradeep earned his Ph.D. in Computer Science & Engineering from Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, where he conducted research from 2016 to 2019. Prior to this, he completed his M.Tech in Computer Science & Engineering with Distinction from JNT University Hyderabad, Telangana, India, between 2010 and 2012. His foundational education includes a B.Tech in Information Technology & Engineering, also from JNT University Hyderabad, where he graduated with First Class honors in 2010.

🏢Work Experience:

Dr. S. Pradeep currently serves as the Associate Professor and Head of Research & Development in the Department of Computer Science & Engineering at Malla Reddy Engineering College for Women in Secunderabad, India, a position he has held since 2021. Before this role, he was an Associate Professor in the Department of Computer Science at Bhoj Reddy Engineering College for Women in Hyderabad from 2020 to 2021. His academic career began as an Assistant Professor in the Department of Computer Science at Jayaprakash Narayan College of Engineering in Hyderabad, where he worked from 2012 to 2016.

🏅Awards and Certifications:

Dr. S. Pradeep holds several prestigious certifications in the field of network security and cloud computing. In 2020, he earned the Fortinet NSE Certification as a Network Security Expert, specializing in NS1 and NS2. He also obtained the Certified Network Security Specialist credential from ICSI in the same year. More recently, in 2023, he achieved the Oracle Cloud Infrastructure Certified Foundations Associate certification, further demonstrating his expertise in cloud technologies.

Publication Top Notes:

A Pragmatic Evaluation of Stress and Performance Testing Technologies for Web-Based Applications
- Cited by: 65
Deep Learning Based Real-Time Object Recognition for Security in Air Defense
- Cited by: 14
Developing an SDN Security Model (EnsureS) Based on Lightweight Service Path Validation with Batch Hashing and Tag Verification
- Cited by: 9
Secured Information Sharing in Supply Chain Management: Modified Data Sanitization with Optimal Key Generation via Hybrid Algorithm
- Cited by: 9
Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation
- Cited by: 9

Assoc Prof Dr. Yang Wang, Shanghai DianJi university, China

Yang Wang is a Professor at Shanghai Dianji University and serves as the Deputy Director of the Planning and Development Office. Her expertise lies in fault diagnosis of complex industrial processes and energy system optimization. As a Master’s Supervisor and a reviewer for the Journal of ISA Transactions, she contributes significantly to her field. Yang Wang has earned recognition for her innovative work, including a second prize in the “Shanghai Teaching Innovation Competition” and the “Design Star” in the “5th National College Hybrid Teaching Design Innovation Competition.” Her research includes designing resilient multi-energy systems and employing advanced techniques to manage forecast errors and uncertainties.

Professional Profile:

Scopus

Evaluation for Prof. Yang Wang’s Suitability for the Best Researcher Award

Prof. Yang Wang’s impactful research, innovative achievements, and dedication to education and professional contributions position her as a highly suitable candidate for the Best Researcher Award. Her expertise and recognition in energy system optimization and fault diagnosis underscore her significant contributions to her field, making her a deserving recipient of this honor.

🏢Current Roles:

Yang Wang is a Professor at Shanghai Dianji University, where she also serves as the Deputy Director of the Planning and Development Office. In her academic role, she supervises Master’s students and contributes as a reviewer for the Journal of ISA Transactions. Her responsibilities encompass both administrative leadership and academic mentorship, reflecting her significant role in advancing research and development at the university.

🏅Awards and Recognitions:

Yang Wang has been honored with the Second Prize in the Shanghai Teaching Innovation Competition and has received the “Design Star” award in the 5th National College Hybrid Teaching Design Innovation Competition. These accolades recognize her exceptional contributions to educational innovation and her commitment to advancing teaching methodologies.

Publication Top Notes:

Distributed Monitoring of Nonlinear Plant-Wide Processes Based on GA-Regularized Kernel Canonical Correlation Analysis
Optimizing Multi-Energy Systems with Enhanced Robust Planning for Cost-Effective and Reliable Operation
Interpretable Chiller Fault Diagnosis Based on Physics-Guided Neural Networks
Short-Term Power Load Forecasting Based on IWOA-GRU
Flexible Adaptive Marine Predator Algorithm for High-Dimension Optimization and Application in Wind Turbine Fault Diagnosis