Masoud Deyranlou | Engineering | Best Researcher Award

Mr. Masoud Deyranlou | Engineering | Best Researcher Award

Optical Network Engineer at Islamic Azad University, Iran

Masoud Deyranlou is an experienced Optical Network Engineer and researcher with over a decade of expertise in optical transmission systems and telecommunications infrastructure. His work spans high-level and low-level design of large-scale networks, specializing in advanced optical technologies like DWDM, ROADM, ASON, and SDN. Throughout his career, he has played a pivotal role in major telecommunication projects, contributing to the innovation and optimization of optical networking solutions. His research primarily focuses on the integration of optical transmission with emerging technologies, bridging the gap between theoretical advancements and practical implementations. With a strong background in both industry and academia, he has contributed to scientific literature and technological advancements in optical communications. His dedication to the field is evident through his numerous publications and technical contributions, making him a key figure in the development of modern optical networking solutions.

Professional Profile

ORCID Profile

Education

Masoud Deyranlou holds a Master of Science in Electrical Engineering – Telecommunications from Islamic Azad University (2007-2010), where he gained expertise in satellite communications, fiber optics, and coding theory. Prior to that, he earned his Bachelor of Science in Electrical Engineering from the same institution, developing a strong foundation in electromagnetics and optical transmission networks. His academic journey began with an Associate Degree in Industrial Electricity from Technical and Vocational University, where he built fundamental technical skills in electrical systems and automation. Throughout his education, he demonstrated exceptional academic performance, excelling in key subjects such as Satellite Communication (19.5/20), Coding Theory (18.5/20), and Electromagnetics (18/20). His education provided him with the theoretical knowledge and practical expertise necessary for his career in telecommunications, allowing him to integrate cutting-edge research with real-world optical network applications.

Professional Experience

Masoud Deyranlou has accumulated over 10 years of professional experience in the field of optical network engineering, working on large-scale telecommunication infrastructure projects. He currently serves as an Optical Network Design Engineer, where he is responsible for High-Level Design (HLD) and Low-Level Design (LLD) of complex optical transmission networks. His expertise spans across various cutting-edge technologies, including T-SDN, DWDM, ROADM, ASON, and WSON, enabling efficient and high-capacity data transmission. Throughout his career, he has actively contributed to the deployment of metro and long-haul optical networks, ensuring optimized performance and reliability. His ability to integrate research-driven solutions with practical applications has made him a valuable asset in the industry. His deep understanding of software-defined networking (SDN) and embedded systems further enhances his ability to develop next-generation optical communication networks, positioning him as a key expert in the field.

Research Interest

Masoud Deyranlou’s research focuses on advanced optical transmission networks, with a particular interest in Radio over Fiber (RoF), Free Space Optics (FSO), and Software-Defined Networks (SDN). His work explores the development of high-speed, low-latency optical communication systems, including novel approaches for adaptive coherent free-space optical communication in urban environments. He is also deeply involved in researching submarine fiber networks, aiming to enhance global telecommunication infrastructure through innovative optical networking solutions. His publications in renowned journals reflect his expertise in dual-polarization 10Gbps RoF systems, wavelength reuse technologies, and next-generation optical transmission mechanisms. By integrating theoretical advancements with practical implementations, he contributes to the continuous evolution of telecommunications technology. His research aligns with the growing need for more efficient, scalable, and resilient optical network architectures, driving innovation in global communications.

Awards and Honors

Masoud Deyranlou has been recognized for his outstanding contributions to the field of optical communications, earning accolades for his research and professional achievements. His work has been published in esteemed journals such as the Journal of Modern Optics and the AUT Journal of Electrical Engineering, showcasing his innovative research in optical transmission systems. Additionally, his high academic performance, particularly his perfect GRE Quantitative Score (170/170), highlights his strong analytical and problem-solving skills. His participation in major telecommunication infrastructure projects has also been acknowledged within the industry, cementing his reputation as a leading expert in optical networking. While he continues to build on his research portfolio, his contributions to advancing adaptive optical communication technologies and high-speed data transmission networks have earned him recognition as a top researcher in his field.

Conclusion

Masoud Deyranlou is a highly qualified candidate for the Best Researcher Award based on his strong technical expertise, research output, and industry experience. However, to further enhance his eligibility, he should focus on publishing in high-impact journals, engaging in international collaborations, securing research grants, and pursuing patents or innovations. If the award criteria emphasize a balance between academic excellence and industry impact, he is a strong contender.

Publications Top Noted

  • Adaptive coherent free space optics system for urban deployment: a case study in Tehran

    • Author(s): Masoud Deyranlou, Alireza Maleki Javan
    • Year: 2025
    • Journal: Journal of Modern Optics
    • DOI: 10.1080/09500340.2025.2459887
    • Citation: Deyranlou, M., & Maleki Javan, A. (2025). Adaptive coherent free space optics system for urban deployment: a case study in Tehran. Journal of Modern Optics, 1–12.
    • ISSN: 0950-0340, 1362-3044
  • A Full-Duplex, Dual-Polarization 10Gbps Radio over Fiber system with wavelength reuse for upstream signal

    • Author(s): Masoud Deyranlou, Alireza Maleki Javan
    • Year: 2020
    • Journal: AUT Journal of Electrical Engineering
    • DOI: 10.22060/eej.2020.16603.5292
    • Citation: Deyranlou, M., & Maleki Javan, A. (2020). A Full-Duplex, Dual-Polarization 10Gbps Radio over Fiber system with wavelength reuse for upstream signal. AUT Journal of Electrical Engineering, 52(1), 9–18.

 

Ananya Kuri | Engineering | Best Researcher Award

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

 

Anna Plichta | Engineering | Best Researcher Award

Mrs. Anna Plichta | Engineering | Best Researcher Award

Research and Teaching Assistant Professor, Cracow University of Technology, Poland

Dr. Anna Plichta is a Research and Teaching Assistant Professor at Cracow University of Technology, Poland, where she also works at the International Center of Education. With a multifaceted background in Comparative Literature and Computer Science, she combines insights from the humanities with advanced computational techniques. Dr. Plichta holds a PhD in Computer Science from Politechnika Wrocławska (2019) and has a strong academic foundation with degrees from Jagiellonian University and Politechnika Krakowska. Her interdisciplinary research focuses on machine learning, artificial intelligence, and applied computer science, with practical applications in energy systems, motor diagnostics, and microbiology. With a commitment to educational excellence and international collaboration, Dr. Plichta has been a key figure in research and teaching at the university for over a decade.

Profile

Strengths for the Award

  1. Diverse Research Interests and Impact: Dr. Plichta’s work spans multiple domains including comparative literature, computer science, machine learning, electrical engineering, and applied mathematics. This interdisciplinary approach showcases her ability to bridge distinct fields, offering innovative solutions to complex problems. Notably, her research on bacterial classification using machine learning methods and energy consumption forecasting using machine learning reflects her versatility and the relevance of her work to contemporary scientific and industrial challenges.
  2. High Citation Impact: Her publication titled “Deep learning approach to bacterial colony classification” has received 134 citations, which demonstrates significant influence and recognition in the scientific community. This kind of citation impact highlights the relevance and utility of her research findings.
  3. Technological Innovation: Her contributions to induction motor fault detection using machine learning techniques (e.g., simulated annealing and genetic algorithms) are highly practical, with clear industrial applications. This emphasizes her role in driving innovation in applied fields, particularly in electromechanical systems and energy sectors, making her work not only academic but also relevant to real-world problems.
  4. Academic Leadership and Teaching: As a Research and Teaching Assistant Professor at Cracow University of Technology, Dr. Plichta combines academic instruction with significant research involvement. Her active engagement in the International Center of Education is a testament to her dedication to fostering a new generation of researchers and students.
  5. Publication Quality: Dr. Plichta consistently publishes in peer-reviewed journals and presents at high-level conferences like those organized by the European Council for Modelling and Simulation. This speaks to her engagement with the broader academic community and her ability to produce high-quality research.

Areas for Improvement

  1. Collaboration and Interdisciplinary Work: While Dr. Plichta’s interdisciplinary work is commendable, further expanding collaborations with other research groups and international institutions could enhance the visibility and impact of her work. Expanding collaborative efforts, especially with industry partners, could help bring more practical applications to the forefront.
  2. Public Outreach and Dissemination: While her publications and citations are notable, there could be a more concerted effort to engage with the general public or non-academic stakeholders, particularly in areas like bacterial classification and energy forecasting, where her research could have significant societal impact. This could include public lectures, podcasts, or participation in science communication events.
  3. Further Publishing in High-Impact Journals: Publishing in higher-impact journals (e.g., Nature, IEEE Transactions) could further boost the international recognition of her work. While her current journal choices are respected, elevating the visibility of her research in top-tier outlets may further her career and contribute to the recognition of her as a leading expert in her field.

Education

Dr. Anna Plichta’s academic journey blends the study of literature and technology. She earned a BA in Comparative Literature (2005) and MA in Comparative Literature (2007) from Jagiellonian University. Her fascination with technology led her to pursue an MA in Computer Science (2010) from Politechnika Krakowska, followed by a PhD in Computer Science from Politechnika Wrocławska (2019). Her doctoral research focused on applying computational methods to real-world engineering challenges, a field that bridges the gap between theoretical knowledge and practical applications. With this strong foundation, she applies machine learning and AI techniques to diverse areas such as energy forecasting, motor fault detection, and bacterial classification. Dr. Plichta’s educational background not only demonstrates her expertise in both the arts and sciences but also her commitment to lifelong learning and interdisciplinary research.

Experience 

Dr. Anna Plichta has had a distinguished career as a Research and Teaching Assistant Professor at Cracow University of Technology since 2010. She has been an integral part of the university’s International Center of Education since 2015, fostering international research collaboration. Dr. Plichta’s professional experience spans both teaching and research, with a particular emphasis on computational techniques applied to energy systems, mechanical engineering, and biology. She has developed and taught courses related to machine learning, AI, and applied computer science. Her academic leadership extends to guiding postgraduate students and conducting collaborative research projects. Dr. Plichta’s expertise in energy consumption modeling, motor diagnostics, and microbial classification has positioned her as a thought leader in these domains, contributing to over 17 published works. She is also involved in the advancement of international education, contributing to the university’s global research network.

Research Focus 

Dr. Anna Plichta’s research focuses on applying machine learning and artificial intelligence to solve complex problems in fields ranging from energy systems to biological data analysis. Her work in forecasting energy consumption uses advanced computational techniques to predict energy demands in clusters, supporting sustainable energy solutions. In the area of electromechanical engineering, she has applied genetic algorithms and wavelet analysis to detect faults in induction motors, such as inter-turn short circuits. Additionally, her research in microbiology explores the use of image analysis and neural networks to identify bacterial species, contributing to more accurate and efficient diagnostic methods. Dr. Plichta is deeply invested in interdisciplinary research, bringing together computational methods with practical applications in industries such as energy, engineering, and healthcare. She is particularly interested in improving the accuracy and efficiency of diagnostic techniques and optimizing energy consumption through AI-driven models.

Publication 

  1. Forecasting Energy Consumption in Energy Clusters using Machine Learning Methods 📊💡
  2. Matrix Similarity Analysis of Texts Written in Romanian and Spanish 📚🔍
  3. Identification of Inter-turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing ⚡🔧
  4. Application of Genetic Algorithm for Inter-turn Short Circuit Detection in Stator Winding of Induction Motor ⚙️🧠
  5. Recognition of Species and Genera of Bacteria by Means of the Product of Weights of the Classifiers 🦠🔬
  6. Application of Image Analysis to the Identification of Mass Inertia Momentum in Electromechanical Systems with Changeable Backlash Zone ⚙️🔍
  7. Application of Wavelet-Neural Method to Detect Backlash Zone in Electromechanical Systems Generating Noises 🔧🌊
  8. Methods of Classification of the Genera and Species of Bacteria Using Decision Tree 🌱📈
  9. Deep Learning Approach to Bacterial Colony Classification 🧬🤖
  10. The DDS Synthesizer (for FPGA Platform) for the Purpose of Research and Education 💻📚

Conclusion

Dr. Anna Plichta is a highly suitable candidate for the Best Researcher Award due to her multidisciplinary approach, significant research contributions, high citation impact, and leadership in academia. She has demonstrated a consistent ability to tackle complex challenges through computational methods, contributing valuable knowledge to both the scientific community and industrial sectors. Her work, particularly in machine learning and electromechanical systems, is both innovative and impactful.While there are always areas for improvement, such as expanding collaborative efforts and public outreach, these do not overshadow her significant academic achievements. Dr. Plichta’s track record of high-quality research and teaching, along with her contribution to solving real-world problems, make her an excellent contender for the Best Researcher Award.