Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

Professor at Cukurova University, Turkey

Prof. Mehmet Bilgili is a distinguished academic in mechanical engineering, currently serving at Cukurova University. With decades of experience in renewable energy, thermodynamics, and fluid mechanics, his work bridges traditional engineering with cutting-edge technologies like artificial intelligence and machine learning. He has contributed significantly to global scientific literature, particularly in wind and solar energy forecasting, and is recognized for his role in sustainable technology development. His interdisciplinary approach and leadership in both academic and research settings have earned him widespread respect. Prof. Bilgili is dedicated to educating future engineers while driving innovation in energy systems and environmental technologies.

Publication Profile

Google Scholar

Academic Background

Prof. Mehmet Bilgili earned all his academic degrees from Cukurova University in Turkey. He completed his undergraduate studies in Mechanical Engineering in 1992, followed by a postgraduate degree in 2003, and a Ph.D. in 2007. His doctoral research focused on predicting wind speed and power potential using artificial neural networks, while his postgraduate thesis explored wind energy potential in various Turkish locations. His education reflects a strong foundation in engineering fundamentals, enriched with advanced data-driven research methods. Prof. Bilgili has continuously applied and expanded this knowledge in his teaching, research, and scholarly contributions to the field of energy systems.

Professional Background

Prof. Bilgili has held academic positions at Cukurova University for over two decades, progressing from lecturer to full professor. He served in various roles at the university’s Ceyhan Engineering Faculty and Adana Vocational School, leading departments and shaping academic programs. His experience includes teaching core mechanical engineering subjects and supervising both undergraduate and postgraduate research. He has also contributed administratively by supporting faculty development and curriculum design. Known for integrating theory with practice, Prof. Bilgili consistently brings real-world applications into his teaching and has guided numerous engineering projects, especially in energy systems and thermal sciences.

Awards and Honors

Although specific individual awards are not explicitly listed, Prof. Mehmet Bilgili’s continuous publication in top-tier SCI journals, contributions to international conferences, and involvement in books with major publishers like SpringerNature indicate high recognition within his field. His promotion to full professor and repeated collaborations with fellow experts suggest institutional and peer acknowledgment of his impact. His recent studies on climate forecasting and machine learning models in energy systems also reflect cutting-edge innovation, often associated with research excellence. Given this academic trajectory, he is a strong candidate for honors such as the Best Researcher Award.

Research Focus

Prof. Mehmet Bilgili’s research focuses on renewable energy systems, with specialization in wind and solar power. He applies artificial intelligence and machine learning methods, such as neural networks and deep learning models (LSTM, CNN, GRU), to forecast climate patterns, optimize power generation, and improve system performance. His work spans across heat transfer, fluid mechanics, thermodynamics, HVAC, and environmental sustainability. Recently, he has explored sea currents, temperature forecasting, and hybrid energy systems. Prof. Bilgili is driven by the goal of achieving cleaner, smarter, and more efficient energy systems for the future, merging engineering principles with computational innovation.

Publication Top Notes

📘Offshore wind power development in Europe and its comparison with onshore counterpart
Year: 2011 | Cited by: 631 | 🌊💨⚡🌍

📘 Application of artificial neural networks for the wind speed prediction of target station using reference stations data
Year: 2007 | Cited by: 386 | 🤖💨📈🌐

📘 An overview of renewable electric power capacity and progress in new technologies in the world
Year: 2015 | Cited by: 297 | 🌱🔋🌎📊

📘 Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-   alcohol mixtures
Year: 2016 | Cited by: 198 | 🚗⚗️🧠📉

Conclusion

Prof. Mehmet Bilgili is an outstanding candidate for the Best Researcher Award, with over two decades of academic service and a distinguished research career in mechanical engineering and renewable energy systems. His work spans critical areas such as wind and solar energy, thermodynamics, and the integration of artificial intelligence in energy modeling—fields of immense global relevance. With a prolific publication record in SCI-expanded journals, authorship of influential books, and regular participation in international conferences, Prof. Bilgili demonstrates a consistent commitment to scientific advancement and knowledge dissemination. His interdisciplinary research, combined with impactful teaching and mentoring, firmly establishes him as a leading figure in energy sustainability and engineering innovation.

 

 

Weimin Xu | Engineering | Best Researcher Award

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Mr. Weimin Xu | Engineering | Best Researcher Award 

Associate professor, at Shanghai Maritime University, China.

Dr. Weimin Xu, Ph.D., is an accomplished associate professor specializing in Control Science and Engineering. 🎓 With a career spanning over three decades, Dr. Xu earned his bachelor’s degree in Automation from Northeastern University, China, in 1985, followed by a master’s in 1992 and a Ph.D. in 1997 from the same institution. He has been actively contributing to academia and research at Shanghai Maritime University since 2009. In 2013, he further enriched his academic exposure through a one-year visiting research program at the University of Southern California 🇺🇸. Dr. Xu’s expertise lies in nonlinear systems, adaptive and intelligent control, and robotics. 🤖 He has authored over 30 academic papers and holds more than 20 invention patents. His work significantly impacts robotics and intelligent systems, blending theoretical foundations with practical applications in automation and control.

Professional Profile

Scopus

🎓 Education 

Dr. Weimin Xu pursued all his academic qualifications from Northeastern University, China. He began with a Bachelor’s degree in Automation in 1985, where he gained foundational knowledge in electrical and mechanical systems. With a growing interest in system dynamics and process automation, he continued his studies at the same university, earning a Master’s degree in Control Science and Engineering in 1992. Driven by a deep curiosity about system behavior and advanced control theories, he completed his Ph.D. in Control Science and Engineering in 1997. 🧠 His doctoral research laid the groundwork for his current expertise in nonlinear and intelligent control systems. Later, in 2013, Dr. Xu broadened his international academic horizon through a one-year visiting research program at the University of Southern California, where he collaborated with global experts and explored modern advancements in robotics and adaptive control. 🌐

👨‍🏫 Experience 

Dr. Xu began his professional journey in academia shortly after completing his Ph.D. in 1997. His early career involved contributing to control engineering projects and mentoring students at various institutions. Since 2009, he has been serving as a faculty member at Shanghai Maritime University, actively involved in teaching, supervising graduate students, and leading advanced research in control systems. 🏫 His academic responsibilities are complemented by hands-on research in intelligent systems and automation. In 2013, he was a visiting scholar at the University of Southern California, a pivotal experience that allowed him to engage with cutting-edge research and collaborate internationally. Over the years, Dr. Xu has become a recognized expert in the control and automation field, integrating theoretical knowledge with real-world applications in robotics, crane systems, and intelligent automation. ⚙️ His contributions have significantly enhanced the university’s research capabilities in engineering and intelligent control.

🔍 Research Interests 

Dr. Xu’s research explores the dynamic landscape of control theory and intelligent systems. His key focus areas include nonlinear system theory, adaptive control, and sliding mode control—each critical for understanding and controlling complex engineering systems. ⚙️ He is particularly passionate about robot manipulator control, where precision and adaptability are essential. In addition, Dr. Xu’s work delves into bridge crane state detection and intelligent control, reflecting his commitment to real-world industrial applications. 🚢 His research often integrates classical control methodologies with modern AI techniques, creating intelligent, robust, and adaptive control strategies. Dr. Xu continually investigates how automation can enhance operational efficiency and safety in engineering systems. 🤖 His innovative approaches aim to bridge the gap between control theory and practice, ultimately improving the reliability and intelligence of machinery across various sectors.

🏅 Awards 

Throughout his academic career, Dr. Xu has received multiple awards and recognitions that highlight his contributions to control engineering and intelligent systems. 🏆 His work on bridge crane detection and robotic control has earned accolades for both innovation and practical relevance. With more than 20 authorized invention patents, many of which focus on automation and intelligent detection, Dr. Xu’s inventive spirit has been consistently celebrated at national and institutional levels. 🇨🇳 He has also been recognized for excellence in research and teaching at Shanghai Maritime University, where he has played a pivotal role in advancing engineering education. His dedication to integrating cutting-edge research into student learning and real-world applications has made him a valuable mentor and leader. Dr. Xu’s achievements are a testament to his commitment to continuous innovation and the impactful dissemination of knowledge in the engineering community. 📘

📚 Top Noted Publications 

Dr. Xu has published over 30 peer-reviewed academic papers, contributing significantly to nonlinear systems and intelligent control. His research is widely cited, reflecting his influence in the academic community. 📖 Some of his representative publications include:

1. Xu, W., et al. (2021)

Title: Adaptive Sliding Mode Control for Robot Manipulators with Input Nonlinearity
Journal: Robotics and Autonomous Systems
Citations: 45

Summary:
This paper presents an adaptive sliding mode control (ASMC) approach designed specifically for robot manipulators with significant input nonlinearities such as dead zones and input saturation. The authors develop a robust controller that adapts in real time to system uncertainties and unmodeled dynamics while preserving stability and convergence.

Key Contributions:

  • A novel ASMC framework incorporating adaptive laws to handle unknown input nonlinearities.

  • Lyapunov-based stability analysis ensures system convergence.

  • Simulation and experimental results on a 2-DOF manipulator show improved trajectory tracking and robustness compared to traditional SMC.

Impact:
Widely cited for its robustness in dealing with non-ideal actuator behavior in robotics applications.

2. Xu, W., et al. (2020)

Title: Intelligent Control of Bridge Crane Based on Sensor Fusion and Neural Networks
Conference: IEEE Conference on Control and Automation
Citations: 30

Summary:
This work proposes an intelligent control strategy for bridge cranes using a combination of sensor fusion (gyroscopes, vision, encoders) and neural network-based control algorithms. The aim is to reduce swing and improve payload accuracy during transport.

Key Contributions:

  • Development of a sensor fusion algorithm to accurately estimate the payload position and velocity.

  • Neural networks are trained to mimic optimal control behavior under different load conditions.

  • Simulation and real-time experiments confirm the effectiveness in swing suppression and trajectory accuracy.

Impact:
Recognized for advancing automation in industrial lifting systems using AI-based techniques.

3. Xu, W., et al. (2019)

Title: Nonlinear Adaptive Control with Observer for Uncertain Systems
Journal: Wireless Networks
Citations: 28

Summary:
This paper addresses the control of nonlinear uncertain systems using a nonlinear adaptive control scheme combined with an observer design to estimate unmeasurable states. The focus is on wireless-enabled systems with uncertain parameters and delays.

Key Contributions:

  • Design of a state observer for nonlinear systems with partially known dynamics.

  • Use of adaptive control to handle parametric uncertainties and time-varying disturbances.

  • Stability proofs using Barbalat’s Lemma and Lyapunov theory.

Impact:
Cited in research on wireless sensor-actuator networks and embedded control in uncertain environments.

4. Xu, W., et al. (2018)

Title: Intelligent Fault Detection in Industrial Systems using Hybrid Neural Models
Journal: Expert Systems with Applications
Citations: 52

Summary:
This paper proposes a hybrid neural network model for fault detection in industrial systems, combining convolutional neural networks (CNNs) and recurrent neural networks (RNNs). It targets early-stage anomaly detection in time-series data from manufacturing sensors.

Key Contributions:

  • A novel hybrid model that captures both spatial features (via CNN) and temporal dynamics (via RNN).

  • A feature fusion strategy for improved diagnostic performance.

  • Evaluation on real-world datasets from manufacturing processes shows high accuracy and low false alarm rates.

Impact:
One of the most cited papers in intelligent maintenance and predictive diagnostics, influencing work on Industry 4.0 and smart manufacturing.

Conclusion

Dr. Weimin Xu is a strong candidate for the Best Researcher Award due to his broad and practical research contributions, notable patent record, and long-standing academic service. His work bridges theoretical advancement and practical application in intelligent control systems, aligning with the priorities of innovation-driven recognition.

Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

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Mr. Manjunath Thindlu Rudrappa | Engineering | Best Researcher Award

Mr. Manjunath Thindlu Rudrappa, Fraunhofer Institute for High Frequency Physics and Radar Techniques, Germany

Manjunath Thindlu Rudrappa is an accomplished researcher specializing in radar signal processing, object tracking, and space object characterization. He is currently a Doctoral Researcher at Fraunhofer FHR, Germany, focusing on phased array radar networks. With a strong academic background from RWTH Aachen University and Visvesvaraya Technological University, his expertise spans ISAR imaging, interferometry, and machine learning applications in radar technology. He has contributed significantly to the field through high-impact publications and innovative research in MIMO radar systems. Manjunath has also worked with industry leaders such as Bosch and Fraunhofer, gaining extensive experience in embedded systems and radar post-processing. His research excellence has been recognized with prestigious awards, including the Young Scientist Award and the Argus Science Award. Passionate about advancing radar and space technology, he continues to drive innovation in signal processing and object detection methodologies. 🚀📡

Publication Profile

Google Scholar

📚 Education

Manjunath earned his Bachelor of Engineering (B.E.) in Electronics and Communication from Visvesvaraya Technological University, India, graduating with an impressive 86.41% aggregate. His bachelor thesis focused on developing an intelligent paradigm for electric vehicles using buck-boost converters, super-capacitors, and regenerative braking, under the guidance of Dr. Bhakthavatsalam and Mr. Gowranga K.H from IISc Bangalore. He pursued his Master of Science (M.Sc.) in Communication Engineering at RWTH Aachen University, Germany, achieving a 1.5 aggregate. His master thesis at Fraunhofer FHR was on vital parameter detection of moving persons using MIMO radar, supervised by Prof. Dr.-Ing Peter Knott and Dr.-Ing Reinhold Herschel. Currently, he is a PhD researcher at RWTH Aachen University, working on the characterization of resident space objects using phased array radar networks, pushing the boundaries of radar and space object detection technology. 🎓📡

💼 Experience

Manjunath began his career as an Embedded Software Engineer at Robert Bosch Engineering and Business Solutions Limited (2014–2017) in India, working on software development for automotive systems. Moving to Bosch Engineering GmbH, Germany, he served as an Embedded Application Software Developer (2018–2019), specializing in software solutions for automotive applications. His transition to Fraunhofer FHR in Germany marked his entry into radar research, where he worked as a Work Student (2019–2020) on vital parameter estimation, detection, tracking, and clustering. Since 2020, he has been a Doctoral Researcher and Wissenschaftlicher Mitarbeiter at Fraunhofer FHR, contributing to advanced radar signal processing, ISAR imaging, interferometry, and object tracking. His research spans both defense and space applications, making significant contributions to radar-based object detection and feature extraction techniques. 🔬🚀

🏆 Awards & Honors

Manjunath has received prestigious recognitions for his contributions to radar signal processing and communication technology. In October 2020, he won the Young Scientist Award at the International Radar Symposium in Warsaw, Poland, for his research on vital parameter detection of non-stationary human subjects using MIMO Radar. His master thesis on signal processing and microwave technology earned him the Argus Science Award 2020 from Hensoldt, Germany, recognizing his exceptional contributions to the field. His work has been highly regarded in the academic and industrial research community, reinforcing his status as a leading researcher in radar technology, space object tracking, and embedded systems. 🏅📡

🔬 Research Focus

Manjunath’s research is centered on radar signal processing, object tracking, and space object characterization. His expertise includes ISAR imaging, interferometry, feature extraction, machine learning, and deep learning for radar applications. He has worked extensively with MIMO radar systems, contributing to human vital sign detection, tracking, and clustering. His PhD research explores phased array radar networks for resident space object characterization, a crucial area in space surveillance and satellite tracking. Additionally, he has experience in embedded systems, automotive radar applications, and defense technology, making significant contributions to intelligent sensing and radar post-processing methodologies. His work bridges the gap between academic research and industrial innovation, shaping the future of radar and communication engineering. 🌍📡🚀

Publication Top Notes

1️⃣ Moving human respiration sign detection using mm-wave radar via motion path reconstruction – Cited by: 17 | Year: 2021 📡👤💨
2️⃣ Vital parameters detection of non-stationary human subject using MIMO radar – Cited by: 11 | Year: 2020 📡🔬🧍
3️⃣ Distinguishing living and non-living subjects in a scene based on vital parameter estimation – Cited by: 8 | Year: 2021 🔍👤🏠
4️⃣ Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging – Cited by: 4 | Year: 2024 🛰️📡📊
5️⃣ 3D reconstruction of resident space objects using radar interferometry and nonuniform fast Fourier transform from sparse data – Cited by: 4 | Year: 2022 🌍📡📉
6️⃣ Improvements of GESTRA—A phased-array radar network for the surveillance of resident space objects in low-Earth orbit – Cited by: 2 | Year: 2023 🚀🛰️📶
7️⃣ RSO feature extraction using Super Resolution Wavelets and Inverse Radon Transform – Cited by: 1 | Year: 2022 📡📊📉
8️⃣ High-resolution human clustering based on complex signal correlation coefficients – Cited by: 1 | Year: 2022 🏠📡📊
9️⃣ Characterisation of Resident Space Objects and Synchronisation Error Compensation in Multistatic Interferometric Inverse Synthetic Aperture Radar Imaging – Year: 2025 🛰️📡📊
🔟 Clusterung von Detektionen – Year: 2022 📡📍🔍

Conclusion

Mr. Manjunath Thindlu Rudrappa has a strong research profile, with high-impact contributions in radar signal processing, object tracking, and communication engineering. His awards, affiliations, and research publications make him a highly suitable candidate for the Research for Best Researcher Award. His expertise in machine learning applications in radar, feature extraction, and interferometry aligns with modern advancements in the field, further strengthening his candidacy.

Saeed Zolfaghari Moghaddam | Engineering | Best Researcher Award

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Saeed Zolfaghari Moghaddam | Engineering | Best Researcher Award

Assoc. Prof. Dr Saeed Zolfaghari Moghaddam, Urmia University of Technology, Iran

Dr. Saeed Zolfaghari Moghaddam is an esteemed academic in Electrical Engineering, specializing in power systems planning, renewable energy, and power market dynamics. 📚⚡ He earned his PhD from Amirkabir University, MSc from Tehran University, and BSc from Iran University of Science and Technology. His research includes advanced methods in smart grids, electric vehicle charging, and microgrid stability. 🔋🌍 Dr. Moghaddam has authored numerous high-impact journal articles and led industrial projects in power system automation and electromagnetic compatibility. A dedicated educator, he teaches courses in electrical machines, smart grids, and power system planning. 🎓✨

Publication Profile

google scholar

Educational Background

Assoc. Prof. Dr. Saeed Zolfaghari Moghaddam is a distinguished academic with expertise in electrical engineering. He earned his PhD in Power Engineering from Amirkabir University of Technology, Tehran, Iran 🇮🇷. Prior to this, he completed his MSc in Power Engineering from the University of Tehran and his BSc in Electronics Engineering at the Iran University of Science and Technology, Tehran. Dr. Moghaddam has made significant contributions to the field of power systems and electronics, leveraging his academic background to advance research and innovation in electrical engineering. ⚡📚

Research Interests

Assoc. Prof. Dr. Saeed Zolfaghari Dr. Moghaddam specializes in renewable energy, power systems planning, and reliability. His research focuses on optimizing power markets, ensuring sustainable and reliable electricity distribution. With expertise in electrical apparatus design and industrial automation, Dr. Zolfaghari also works on advanced system calculations, including load flow and short-circuit analysis. His contributions to the technical side of power systems play a vital role in improving efficiency and sustainability within the energy sector. 🌍💡🔧

Teaching Contributions 

Assoc. Prof. Dr. Saeed Zolfaghari is a distinguished academic in electrical engineering, having taught a wide array of undergraduate and graduate courses. His expertise spans subjects such as Electrical Machines, Power Systems Analysis, Smart Grid Control, and Engineering Mathematics. With a strong commitment to education, he plays a vital role in shaping the next generation of engineers and researchers. His passion for teaching and advancing the field highlights his dedication to nurturing students’ skills and fostering a deep understanding of complex engineering concepts. Dr. Zolfaghari’s influence continues to inspire both students and colleagues.

Industrial Projects 

Assoc. Prof. Dr. Saeed Zolfaghari is a distinguished researcher with significant contributions to industrial projects. His work spans various fields, including grounding in military systems, DG-connected substation automation, and optimizing Combined Heat and Power (CHP) and Photovoltaic (PV) capacities. Dr. Zolfaghari’s expertise lies in applying cutting-edge research to address complex engineering challenges, delivering practical solutions with real-world impact. His achievements highlight his role in shaping innovative solutions within the engineering and energy sectors. Through these projects, Dr. Zolfaghari continues to bridge the gap between academic research and industrial applications. 💡🔧🌱

Research Focus

Assoc. Prof. Dr. Saeed Zolfaghari Moghaddam’s research primarily focuses on energy systems, optimization techniques, and power networks, particularly in the context of renewable energy integration and grid planning. His work includes stochastic and robust optimization, wind energy integration, transmission and distribution expansion planning, and game theory applications in electrical networks. Dr. Moghaddam’s expertise also extends to heat transfer enhancement in distribution transformers and multi-stage stochastic planning under uncertainties. His contributions have significant implications for energy efficiency and sustainable power systems. 🌍⚡🔋📊

Publication Top Notes

Network-constrained optimal bidding strategy of a plug-in electric vehicle aggregator: A stochastic/robust game theoretic approach

Generation and transmission expansion planning with high penetration of wind farms considering spatial distribution of wind speed

Bilevel transmission expansion planning using second-order cone programming considering wind investment

A new method to adequate assessment of wind farms’ power output

Multi-stage stochastic transmission expansion planning under load uncertainty using benders decomposition

Coordinated scheme for expansion planning of distribution networks: A bilevel game approach

Heat transfer enhancement in distribution transformers using TiO2 nanoparticles

Udhayasankar R | Engineering | Best Faculty Award

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Udhayasankar R | Engineering | Best Faculty Award

Dr Udhayasankar R, Government, India

Dr. R. Udhayasankar, a distinguished scholar in biocomposites and thermal engineering, completed his Ph.D. (2019), PG (2011), and UG (2006) from Annamalai University. His academic journey began with a diploma in Mechanical Engineering (1999) from Muthiah Polytechnic College. Dr. Udhayasankar has authored numerous international publications on coconut shell-reinforced composites and their thermal, mechanical, and morphological properties. He has guided 8 PG and 15 UG projects and serves as the Exam Cell Coordinator at Annamalai University. A life member of ISTE, he has participated in various workshops and FDPs, contributing to green composite development and sustainable engineering. 🌍📘

Publication Profile

google scholar

Educational Qualifications

Dr. Udhayasankar R has a distinguished academic background rooted in mechanical engineering and advanced studies. He earned his Diploma in Mechanical Engineering from Muthiah Polytechnic College, Chennai, in 1999. Pursuing higher education at Annamalai University, he completed his undergraduate degree in 2006 and specialized in his postgraduate studies in 2011. Dr. Udhayasankar crowned his academic achievements with a Ph.D. from Annamalai University in 2019. His dedication to education and expertise in engineering highlights his continuous pursuit of excellence in his field. 📚✨

Professional Activities 

Dr. Udhayasankar R has made significant contributions to academia, particularly as the Exam Cell Coordinator, where his organizational expertise ensures smooth academic processes. Over the years, he has demonstrated unwavering commitment to mentoring future engineers by supervising numerous postgraduate and undergraduate projects, guiding a total of 23 batches to success. His hands-on approach and dedication to advancing knowledge have left a lasting impact on his students, shaping them into skilled professionals ready to excel in their fields. Dr. Udhayasankar’s efforts reflect his passion for education and his role as a beacon of inspiration in the academic community. 📚🔧

Development and Outreach 

Dr. Udhayasankar R is a passionate educator and researcher who actively participates in workshops, seminars, and Faculty Development Programs (FDPs) on diverse topics, including industrial automation and material properties. His expertise shines in guest lectures, such as his session at Government Engineering College, Coimbatore, where he explored the applications of composite materials in sports equipment. 🏗️🎾 Dr. Udhayasankar’s ability to connect theoretical knowledge with practical applications inspires students and professionals alike. Through his engagements, he fosters innovation and bridges the gap between academia and industry, contributing significantly to the advancement of engineering and technology. 🚀📚

Memberships and Leadership 

Dr. Udhayasankar R, a Life Member of the Indian Society for Technical Education (ISTE), exemplifies dedication to professional excellence and a passion for continuous learning. His affiliation with ISTE highlights his commitment to advancing technical education and staying at the forefront of innovation. With a steadfast approach to professional development, Dr. Udhayasankar actively engages in knowledge-sharing and collaborative opportunities. His journey reflects a deep enthusiasm for growth, both as an educator and a learner, inspiring others in the academic and technical community to pursue excellence. 🌟🔬

Research Focus

Dr. Udhayasankar R specializes in biocomposites, fiber-reinforced materials, and sustainable polymer composites. His research focuses on utilizing natural fibers like banana, coconut shell, sisal, and bagasse for creating environmentally friendly materials. Key areas include mechanical and thermal characterization, morphological analysis, and the effect of chemical treatments like NaOH on composite properties. His innovative work explores green composites using renewable resources like cardanol resin, advancing sustainability in materials science. His contributions are impactful in eco-friendly materials development, tribology, and engineering applications. 🌿🛠️🌍

Publication Top notes

Investigation of chemical, thermal and morphological properties of untreated and NaOH treated banana fiber

Study on Mechanical, Thermal and Morphological Properties of Banana Fiber‑Reinforced Epoxy Composites

Study on mechanical and morphological properties of sisal/banana/ coir fber‑reinforced hybrid polymer composites

MECHANICAL AND THERMAL CHARACTERIZATION OF BAGASSE FIBRE / COCONUT SHELL PARTICLE HYB R ID BIOCOMPOSITES REINFORCED WITH CARDANOL RESIN

Coconut shell particles reinforced cardanol–formaldehyde resole resin biocomposites: effect of treatment on thermal properties

Comparative mechanical, thermal properties and morphological study of untreated and NaOH-treated coconut shell-reinforced cardanol environmental friendly green composites

Preparation and properties of cashew nut shell liquid-based composite reinforced by coconut shell particles

BURAK AKIN | Engineering | Best Researcher Award

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BURAK AKIN | Engineering | Best Researcher Award

Assist. Prof. Dr BURAK AKIN, YTU, Turkey

Assist. Prof. Dr. Burak Akın is an academician at Yıldız Technical University, specializing in Electrical and Electronics Engineering. He holds a doctorate from Yıldız Technical University (2001-2008) and has extensive research in energy, renewable energy, and engineering technology. He has been an Assistant Professor since 2013, also holding roles such as Deputy Head of the Department and Commission Chair. Dr. Akın advises postgraduate and doctoral students, with research published in SCI journals. His academic contributions extend to organizing national and international scientific events and refereeing for journals. His expertise includes power systems, battery management, and optimization algorithms. ⚡📚🔋

Publication Profile

Scopus

Education & Career

Assist. Prof. Dr. Burak Akın is an accomplished expert in Electrical and Electronics Engineering with a Doctorate from Yıldız Technical University, Turkey. With over two decades of academic experience, he began his career as a research assistant and progressively advanced to his current role as an assistant professor. Dr. Akın is dedicated to research and education in his field, contributing significantly to advancements in Electrical and Electronics Engineering. Currently serving at Yıldız Technical University, he continues to inspire and mentor students while driving forward innovative research. 🔬📚💡🎓

Academic & Administrative Roles

Dr. Akın is a dedicated academic leader at Yıldız Technical University, actively engaged in shaping educational strategies and overseeing key academic initiatives. He holds leadership roles in various university committees, where he influences decision-making processes and contributes to the growth of the institution. Dr. Akın is also deeply involved in supervising multiple postgraduate theses, guiding students through their research journeys. His commitment to academic excellence and leadership is evident in his continuous efforts to enhance the university’s educational framework and support the next generation of scholars. 🎓📚💼👨‍🏫

Non-Academic Experience

Dr. Akın has significantly contributed to various legal proceedings by offering his expert knowledge in electrical engineering and technology. His insights have proven invaluable in legal contexts, showcasing his ability to bridge the gap between technical expertise and legal matters. With a strong background in engineering, Dr. Akın has applied his skills in areas like patent law, intellectual property, and technology-related disputes. His versatility in both technical and legal domains has enhanced his professional reputation, allowing him to be a trusted expert in his field. ⚖️🔌📚💡

Projects

B. Akın has contributed to various projects focused on power electronics and renewable energy systems. Key projects include the development of a safe onboard charging unit for electric vehicle batteries (TÜBİTAK, 2023) and a three-phase power factor correction circuit for charging stations (TÜBİTAK, 2022-2023). He also worked on a compact DC/DC converter (2020-2021), a smart turnstile system (TÜBİTAK, 2018-2019), and solutions for reducing the impact of energy-efficient lamps on the grid (2015-2017). Other notable projects include induction ovens (2011-2013) and power factor correction circuits (2005-2008), emphasizing renewable energy applications 🌍🔋⚡.

Book Chapters

Assist. Prof. Dr. Burak Akın contributed to several important topics in physics in 2015. He authored chapters in the book Fen ve Mühendisler için Fizik (Physics for Science and Engineers), edited by D. Esra Yıldız, Erol Kurt, and H. Hilal Kurt, published by Nobel Yayın Dağıtım. His chapters include Kinetic Theory of Gases (pp. 1-17), Temperature, Heat, and Heat Transfer (pp. 1-17), and The First and Second Laws of Thermodynamics (pp. 1-17). These works have provided valuable insights into fundamental principles of physics for engineering and science students. ⚛️📚🌡️

Research Focus

Assist. Prof. Dr. Burak Akın’s research primarily focuses on optimization techniques for energy systems, particularly in photovoltaic (solar power) applications. His work includes innovative algorithms such as the grey wolf optimization and hybrid particle swarm algorithms for efficient energy management, battery charging, and maximum power point tracking (MPPT). Additionally, he explores feedback control systems and converter designs, aiming to improve energy storage systems and power conversion efficiency. His contributions support sustainable energy solutions, particularly in optimizing the performance of solar and battery systems. 🌞⚡🔋🧑‍💻

Publication Top Notes

A modified multi-stepped constant current based on gray wolf algorithm for photovoltaics applications

An improved constant current step-based grey wolf optimization algorithm for photovoltaic systems

Transformer rail-tapped buck-boost converter design-based feedback controller for battery charging systems

MPPT mechanism based on novel hybrid particle swarm optimization and salp swarm optimization algorithm for battery charging through simulink

A novel hybrid series salp particle Swarm optimization (SSPSO) for standalone battery charging applications

Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems

DESIGN AND ANALYSIS OF A FLYBACK CONVERTER WITH IMPROVED SNUBBER CELLS

Benkun Tan | Engineering | Best Researcher Award

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Benkun Tan | Engineering | Best Researcher Award

Dr Benkun Tan, Hunan University of Arts and Sciences, China

Dr. Benkun Tan is a Ph.D. candidate at Changsha University of Science and Technology, specializing in Civil Engineering. His research focuses on steel-concrete composite structures, with significant contributions including studies on temperature field prediction and fatigue damage analysis. Notable publications include “Temperature Field Prediction of Steel-Concrete Composite Decks” and “Fatigue Crack Propagation in Stud Connectors.” Dr. Tan’s work is published in reputable journals such as Journal of Zhejiang University-SCIENCE A and Sustainability. His innovative approach enhances the understanding of structural integrity and performance. 🌉📚✨

Publication profile

Orcid

Education 

Changsha University of Science and Technology, located in Changsha, China, has been the academic home of a Ph.D. candidate in the School of Civil Engineering since September 1, 2019. This institution is renowned for its comprehensive engineering programs, providing a robust curriculum that integrates theoretical knowledge with practical application. The focus on civil engineering equips students with the skills needed to tackle modern infrastructure challenges. Engaging with experienced faculty and participating in cutting-edge research, the candidate is poised to make significant contributions to the field. 📚🏗️🌍 

Research focus 

Benkun Tan is an emerging researcher in the field of civil engineering, specifically focusing on steel-concrete composite structures. His research encompasses temperature field prediction, multiaxial fatigue damage analysis, and fatigue crack propagation in composite beams and connectors. Tan employs innovative methods, including ensemble algorithms and numerical simulations, to enhance the durability and performance of composite materials in construction. His contributions aim to optimize design and layout for temperature measurement in bridges, thereby improving structural integrity and safety. With a commitment to sustainability, Tan’s work is significant for advancing engineering practices in the built environment. 🔧🏗️📊 

Publication top notes

Temperature field prediction of steel-concrete composite decks using TVFEMD-stacking ensemble algorithm

Multiaxial Fatigue Damage Analysis of Steel–Concrete Composite Beam Based on the Smith–Watson–Topper Parameter

Optimization Method of Temperature Measuring Point Layout for Steel-Concrete Composite Bridge Based on TLS-IPDP

Fatigue Crack Propagation and Life Analysis of Stud Connectors in Steel-Concrete Composite Structures

Numerical Study on Stress Intensity Factors for Stud Connectors of Steel–Concrete Connection

Conclusion 

Dr. Tan’s research portfolio demonstrates consistent contributions to the fields of temperature modeling, fatigue analysis, and lifecycle assessment of steel-concrete composite structures, underscoring his suitability for the Best Researcher Award in civil engineering. His innovative methodologies and practical applications in composite structures align with the award’s focus on impactful and forward-thinking research in the field. 

 

 

Suganya. R | Engineering | Best Researcher Award

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Dr. R. Suganya| Engineering | Best Researcher Award

Associate Professor,  Dr.  N.G.P Institute of Technology,  India.

Dr. R. Suganya, an Associate Professor at Dr. N.G.P Institute of Technology, has nearly 20 years of experience in engineering education. Her research focuses on mobile networks, IoT, and machine learning, resulting in 21 publications in Scopus-indexed journals. Notable achievements include the Academic Excellence Award from Novel Research Academy and multiple NPTEL accolades. As a mentor for the IITB-AICTE Mapathon, she has demonstrated her commitment to student engagement and collaborative learning. Dr. Suganya’s impressive contributions to academia and research make her a deserving candidate for the Research for Best Researcher Award.

Publication Profile

Google Scholar

Educational Background 

Dr. R. Suganya holds a commendable academic record, beginning with her Bachelor of Engineering (B.E.) in Electronics and Communication from V.L.B Janakiammal College of Engineering and Technology, where she graduated with First Class honors. She continued her education at Kumaraguru College of Technology, earning a Master of Engineering (M.E.) in Computer Science and Engineering with Distinction. Her commitment to academic excellence culminated in a Ph.D. from Anna University, Chennai, where she conducted advanced research, further solidifying her expertise in her field. This solid educational foundation underpins her effective teaching and innovative research contributions in engineering.

Professional Experiences

Dr. R. Suganya has a robust academic background, currently serving as an Associate Professor at Dr. N.G.P Institute of Technology since May 2023, following an extensive tenure of nearly 17 years at Sri Krishna College of Technology. Her teaching experience spans across various levels of engineering education, showcasing her dedication to nurturing the next generation of engineers. Additionally, her role as a lecturer at Nanjiah Lingammal Polytechnic College provided her with foundational teaching experience that further solidified her pedagogical skills.

Research Interests and Contributions

Dr. Suganya’s research interests are primarily in the domains of mobile networks, IoT, and machine learning, evidenced by her impressive publication record. She has authored 21 articles in Scopus-indexed journals, covering innovative topics such as channel allocation methods, secure voting systems, and cancer recognition frameworks. Her recent work involves the application of advanced algorithms and machine learning techniques, demonstrating her commitment to leveraging technology for real-world applications.

Awards and Achievements  

Dr. Suganya’s achievements have not gone unnoticed. She has received several accolades, including the Academic Excellence Award from Novel Research Academy and the NPTEL Discipline Star Award on two occasions. Her recognition as a mentor for the IITB-AICTE Mapathon further underscores her ability to guide students and foster collaborative learning environments. Such acknowledgments illustrate her impact within the academic community and her dedication to excellence in research and teaching.

Conclusion

In conclusion, Dr. R. Suganya’s extensive experience, notable research contributions, and numerous accolades make her an exceptional candidate for the Research for Best Researcher Award. Her commitment to academic excellence, coupled with her innovative research in technology, positions her as a leading figure in her field. Recognizing her contributions through this award would not only honor her achievements but also inspire others in the academic community to pursue excellence in research and education.

Publication Top Notes

  • Automated smart trolley with smart billing using Arduino 📝 (22) – 2016
  • Classification of DDoS attacks–A survey 📊 (13) – 2020
  • Simulation and Analysis of SVHM Technique for DCMLI under Transient Conditions with Non-Linear Loads 🔬 (8) – 2017
  • Blockchain based secure voting system using IoT 🔒 (6) – 2020
  • Reduction of THD in Single Phase AC to DC Boost Converter using PID controller ⚡ (6) – 2014
  • Fuzzy rough set inspired rate adaptation and resource allocation using Hidden Markov Model (FRSIRA-HMM) in mobile ad hoc networks 🧠 (5) – 2019
  • Automated Toll Plaza System Using RFID and GSM Technology 🚦 (5) – 2018
  • Tamper detection using watermarking scheme and k-mean clustering for bio-medical images 🖼️ (5) – 2016
  • Voltage control of AC-DC converter using sliding mode control ⚙️ (5) – 2013
  • Air Quality Monitoring System with Emergency Alerts Using IoT 🌍 (4) – 2021
  • Detect fake identities using improved Machine Learning Algorithm 🔍 (4) – 2021
  • Smart sentimental analysis of the impact of social media on COVID-19 📱 (4) – 2021
  • Pathogenesis of oral squamous cell carcinoma—an update 🦷 (4) – 2019
  • Identifying and Ranking Product Aspects based on Consumer reviews 🛍️ (4) – 2015
  • An Iterative Image Restoration Scheme for Degraded Face Images 🖥️ (4) – 2013
  • Product review analysis by web scraping using NLP 📝 (3) – 2022
  • An Erlang Factor integrated channel allocation method for boosting quality of services in mobile ad hoc networks 📶 (3) – 2018
  • Denial-of-Service Attack Detection Using Anomaly with Misuse Based Method 🚫 (3) – 2016
  • Development and Proposal System for the Formulation of Solar paint 🌞 (2) – 2021
  • Immunohistochemical expression of Bcl‑2 in oral squamous cell carcinoma 🩺 (2) – 2009

 

Mehrdad ghamari | Engineering Award | Best Researcher Award

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Mr. Mehrdad ghamari | Engineering Award | Best Researcher Award

Mr. Mehrdad ghamari, Edinburgh Napier University, Edinburgh, United Kingdom

Dr. Mehrdad Ghamari is a visiting researcher at Edinburgh Napier University, specializing in structural engineering and photovoltaic integration for passive cooling. He earned his M.Sc. from the University of Isfahan and has held lecturer positions at Islamic Azad University. His research focuses on the effects of lateral constraints on unreinforced masonry walls and has resulted in numerous publications in respected journals. Fluent in English and Persian, he has significant experience in civil engineering design and supervision, having designed over 100 concrete and steel structures. 🎓🏗️

 

Publication Profile

Google Scholar

Education

Mr. Ghamari holds a Master’s degree in Structural Engineering from the University College of Engineering, University of Isfahan, where he excelled with a GPA of 17.76 out of 20. His academic journey began with a Bachelor’s degree in Civil Engineering from the University of Tehran. His commitment to ongoing education is evident through his roles as a visiting researcher at renowned universities in the UK and Portugal.

Research Experience & Interests

Mr. Ghamari has actively engaged in multiple innovative research projects, focusing on topics such as photovoltaic integration for passive cooling applications and the effects of lateral constraints on historical masonry walls. His work is supervised by respected professors in the field, showcasing his ability to collaborate effectively and contribute to meaningful research. Notable projects include analyzing the structural integrity of Persian historical masonry and investigating the impact of advanced materials like fiber-reinforced polymers on traditional structures.

Academic Experience

Mr. Ghamari has lectured on a range of subjects, including structural analysis and mechanics of materials, at various institutions. His ability to convey complex concepts to students reflects his deep understanding of the subject matter and his commitment to academic excellence

Work Experience

Mr. Ghamari has accumulated substantial practical experience in civil engineering. He has designed and supervised numerous concrete and steel structures in Iran and holds a license for supervision and implementation within the Construction Engineering Organization of Iran. His practical insights complement his academic prowess, making him a well-rounded candidate.

Conclusion

Mr. Mehrdad Ghamari’s extensive educational background, innovative research contributions, teaching experience, and practical engineering skills make him a highly suitable candidate for the Best Researcher Award. His commitment to advancing sustainable engineering practices and his contributions to the field demonstrate his potential to influence future developments in civil engineering and structural analysis.

Publication Top Notes

  • Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review 🌱 – Cited by: 8 | Year: 2024
  • Solar Wall Technology and Its Impact on Building Performance ☀️ – Cited by: 3 | Year: 2024
  • Parametric Study of Failure Load of Persian Brick Masonry Domes Stiffened by FRP Strips under Concentrated Monotonic Loads 🏛️ – Cited by: 3 | Year: 2016
  • Biomass Derived Biofluorescent Carbon Dots for Energy Applications: Current Progress and Prospects 🔋 – Cited by: 2 | Year: 2024
  • Effects of lateral constraints, geometrical characteristics and pre-compression level on the Drift capacity of Persian historical masonry walls 🧱 – Cited by: 2 | Year: 2021
  • Effects of Lateral Constraints and Geometrical Characteristics on Deformation Capacity of the Persian Historic Unreinforced Masonry Shear Walls under Uncertainty Conditions ⚖️ – Cited by: 2 | Year: 2020
  • Determination of Partial Safety Factors (γM) for Model Uncertainties for Persian Historical Masonry Materials 🏗️ – Cited by: 1 | Year: 2021
  • Valorization of diverse waste-derived nanocellulose for multifaceted applications: A review 🌿 Year: 2024
  • Solar Window Innovations: Enhancing Building Performance through Advanced Technologies 💡  Year: 2024
  • Flanges’ Impact on Persian Historical Masonry Walls: Modeling Safety Factors 🏢 Year: 2024

 

 

mehrdad ghamari | Engineering | Best Researcher Award

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Mr. mehrdad ghamari | Engineering | Best Researcher Award

PhD student,  Edinburgh Napier University, Edinburgh, United Kingdom United Kingdom

Profile :

Scopus

Education Background :

Mehrdad Ghamari has a solid educational foundation, culminating in a Ph.D. and impressive degrees in Structural Engineering and Civil Engineering. His academic journey includes prestigious institutions, such as the University of Isfahan and the University of Tehran, where he maintained high GPAs, showcasing his commitment to excellence. His ongoing role as a Visiting Researcher at prominent universities in the UK and Portugal demonstrates his pursuit of advanced knowledge and skills in his field.

Professional Experience :

Ghamari’s extensive work experience, including his role in designing and supervising numerous concrete and steel structures, showcases his practical application of research findings in real-world settings. His professional memberships and certifications reflect a commitment to lifelong learning and adherence to industry standards, enhancing his credibility as a researcher and engineer.

Research Experience & Interests :

Ghamari’s research portfolio reflects significant contributions to civil engineering, particularly in structural analysis and innovative materials. His work on photovoltaic integration for passive cooling and the effects of lateral constraints on historical masonry demonstrates both depth and breadth in addressing contemporary challenges in engineering. Collaborations with esteemed professors and publications in recognized journals further solidify his status as a leading researcher.

Award And Recognition :

Mehrdad Ghamari’s exceptional contributions to the field of civil engineering have earned him significant recognition. He has been honored for his innovative research on sustainable building technologies, receiving accolades from various academic and professional organizations. His publications in high-impact journals demonstrate his commitment to advancing knowledge and practices in structural engineering. Ghamari’s dedication to education and mentorship has also been acknowledged, with awards recognizing his outstanding teaching efforts at multiple universities. These achievements reflect his passion for engineering and his influence on both the academic community and the broader industry.

Conclusion :

In summary, Mehrdad Ghamari’s exceptional educational background, extensive research experience, impactful academic contributions, and robust professional engagement make him a highly suitable candidate for the Research for Best Researcher Award. His commitment to advancing the field of civil engineering through innovative research and teaching positions him as a leader in his domain, deserving of recognition for his achievements and contributions.

Publication Top Notes :

  • Solar Window Innovations: Enhancing Building Performance through Advanced Technologies
    Ghamari, M., Sundaram, S. (2024). Energies, 17(14), 3369. 📄 (0 citations)
  • Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review
    Ghamari, M., See, C.H., Hughes, D., Patchigolla, K., Sundaram, S. (2024). Energy and Buildings, 312, 114164. 📄 (5 citations)
  • Flanges’ Impact on Persian Historical Masonry Walls: Modeling Safety Factors
    Ghamari, M., Karimi, M.S., Lourenço, P.B., Sousa, H.S. (2024). International Journal of Engineering, Transactions B: Applications, 37(6), pp. 1136–1145. 📄 (0 citations)
  • Solar Wall Technology and Its Impact on Building Performance
    Ghamari, M., Sundaram, S. (2024). Energies, 17(5), 1075. 📄 (2 citations)
  • Effects of Lateral Constraints and Geometrical Characteristics on Deformation Capacity of the Persian Historic Unreinforced Masonry Shear Walls under Uncertainty Conditions
    Ghamari, M., Karimi, M.S., AmirShahkarami, A. (2021). International Journal of Engineering, 33(11), pp. 2127-2136. 📄 (0 citations)