Bahaa Hussein Taher | Engineering | Research Excellence Award

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Mr. Bahaa Hussein Taher | Engineering | Research Excellence Award

University of Sumer | China

Mr. Bahaa Hussein Taher is a senior engineer and academic affiliated with the University of Sumer, specializing in computer science and electronic engineering with a strong focus on advanced networking and edge computing. His academic background includes doctoral and master’s level training in computer science, electronic engineering, and information engineering, building a solid foundation in computing systems and optimization. Professionally, he has held academic, engineering, and leadership roles, contributing to teaching, research supervision, quality assurance management, IT infrastructure development, and participation in strategic planning and technical committees. His research expertise centers on edge computing, dynamic task allocation, secure execution in next-generation networks, cryptographic protocols, scheduling, and optimization, with multiple publications in internationally indexed journals. He has actively contributed to the academic community through workshops, seminars, and conference participation, reflecting sustained scholarly engagement. His recognitions include language proficiency certifications and professional credentials that support international research collaboration, highlighting his capacity to advance impactful, secure, and efficient computing solutions with strong future research potential.

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Top 5 Featured Publications

 

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Ananya Kuri | Engineering | Best Researcher Award

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Ms. Ananya Kuri | Engineering | Best Researcher Award

Scientist | R&D Project Manager at Siemens AG, Germany

Ananya Kuri is an accomplished R&D Project Manager at Siemens AG, specializing in electrical power engineering and grid stability. With over 10 years of experience in the power systems sector, she has played a pivotal role in dynamic performance analysis, inverter-based resource modeling, and power grid optimization. Ananya holds a Ph.D. from FAU Erlangen (dissertation under review) and an M.Sc. in Electrical Power Engineering from RWTH Aachen University. She is known for her leadership in managing complex projects, mentoring teams, and collaborating with global customers. Her expertise lies in enhancing power system stability, modeling and analyzing power plants, and supporting grid compliance efforts. Ananya’s work spans across consulting, R&D, and training, with significant contributions to Siemens’ technology in power systems and microgrids. Her professional journey reflects a blend of innovation, technical excellence, and strong industry engagement, making her a respected figure in the energy sector.

Professional Profile

Education

Ananya Kuri’s academic credentials lay a solid foundation for her extensive career in power systems engineering. She holds a Ph.D. in Electrical Engineering from FAU Erlangen, where her dissertation is currently under review. Prior to this, she completed her M.Sc. in Electrical Power Engineering from RWTH Aachen University, one of Germany’s premier technical institutions. During her time at RWTH Aachen, Ananya developed a deep understanding of electrical power technologies and systems, which has been pivotal in her professional journey. Her B.Eng. in Electrical and Electronics Engineering from M.S. Ramaiah Institute of Technology in Bangalore, India, provided her with early insights into power systems, further shaping her technical expertise. Throughout her academic tenure, Ananya demonstrated a strong commitment to research, resulting in multiple published works and contributions to cutting-edge developments in the power systems domain, paving the way for her successful professional career.

Professional Experience

Ananya Kuri’s professional experience spans a decade of working with Siemens AG, where she has made significant contributions in both consulting and research roles. She began her career as a Senior Power Systems Consultant and Portfolio Element Owner in Siemens’ Digital Grid, focusing on transmission systems, inverter-based resources, and power grid stability. Her technical expertise was key in the modeling and analysis of various Siemens power systems products, including the Power Plant Controller and Microgrid Controller. Ananya has also held leadership roles as an R&D Project Manager, where she led projects like ENSURE Phase 3 for inverter-based resources and kurSyv for corrective system management in distribution networks. She has mentored teams, managed global consulting projects, and played an integral role in Siemens’ advancements in grid compliance, ensuring Siemens’ power systems meet the evolving needs of modern electrical grids. Her extensive work with international clients and R&D initiatives highlights her strong professional impact.

Research Interests

Ananya Kuri’s research interests lie primarily in the areas of power system stability, grid integration, and inverter-based technologies. Her work revolves around enhancing the dynamic performance of power grids, with a focus on transient stability, small-signal analysis, and frequency regulation. Ananya is particularly interested in the modeling and control of inverter-based resources, as these technologies are crucial in supporting the transition to renewable energy sources and the modernization of grid infrastructures. Her research also extends to the development of advanced control strategies for microgrids and power plants, aiming to improve grid stability and resilience. She is actively involved in R&D projects that address the operational challenges of integrating renewable energy into power systems, such as enhanced inverter control techniques. Ananya’s contributions to power system modeling, grid compliance studies, and dynamic simulations aim to drive innovations in power system operations and support the reliable and efficient operation of future grids.

Awards and Honors

Ananya Kuri’s outstanding contributions to the field of power systems engineering have earned her recognition within both the academic and professional communities. She has been actively involved in global research and development initiatives and has contributed to numerous successful consulting projects. Although specific awards are not mentioned, her leadership roles in industry-standard working groups like CIGRE and IEC, along with her involvement in over 35 working groups and 17+ published works, underscore her high standing in the industry. Ananya’s influence extends beyond her immediate work at Siemens, as she is recognized as a key member of international committees shaping the future of power system operations and standards. Her expertise in developing Siemens’ key products, such as the SICAM Power Plant Controller and Microgrid Controller, also highlights her significant contributions to the global energy sector. These honors and recognitions reflect her impact as a thought leader in electrical power engineering.

Conclusion

Ananya Kuri is highly suitable for the Best Researcher Award based on her extensive experience, leadership in R&D, technical expertise, and contributions to global research projects. Her work in inverter control strategies, grid stability, and model development for Siemens’ products directly addresses the challenges facing modern power systems. The only area for improvement would be completing her Ph.D. and further enhancing her public engagement. Overall, she represents the qualities of a forward-thinking researcher with significant industry impact.

Publications Top Noted

Title: Power Dispatch Capacity of a Grid-Forming Control Based on Phase Restoring Principle
Authors: A. Kuri, Ananya; R. Zurowski, Rainer; G. Mehlmann, Gert; M. Luther, Matthias
Journal: IEEE Systems Journal
Year: 2023
Citations: 3