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.

Juras Skardžius | Engineering | Best Researcher Award

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Dr. Juras Skardžius | Engineering | Best Researcher Award 

Department of Mechanical and Materials Engineering, Faculty of Mechanics, at Vilnius Gediminas Technical University, Lithuania.

Juras Skardžius is a skilled engineer with extensive experience in the automotive industry. Proficient in MetrologX (CMM), Computer-Aided Design (CAD), SolidWorks/Pro-Engineer, and reverse engineering, he has a strong background in quality assurance and production documentation. With expertise in APQP packages, MSA, feasibility studies, and AIAG Quality Core Tools, he has successfully contributed to multiple projects, ensuring smooth product implementation. His professional journey reflects a commitment to continuous learning and innovation, converting designs into real-world applications.

Professional Profile

Scopus

ORCID

🎓 Education

Juras Skardžius holds a Master’s degree in Automotive Engineering from Vilnius Gediminas Technical University (2022-2024). He also completed his Bachelor’s degree in Automotive Engineering at the same institution (2012-2016). His early education includes secondary school at Lauryno Stuokos-Gucevičiaus Gymnasium and studies in fine arts at Širvintų Meno Mokykla, Dailės skyrius (2003-2011). His academic background has provided a strong technical foundation, enabling him to excel in design, engineering, and quality control.

💼 Experience

With over six years in the automotive industry, Juras has worked in key engineering and quality assurance roles. As a Project Engineer at UAB Stansefabrikken Automotive, he managed new project documentation and implemented products following IATF standards. Previously, he worked as a Designer-Constructor at UAB Baltexim, handling customer orders, designing products, and overseeing production. He also held roles at UAB Forveda as a Service & Aftersales Manager, where he ensured quality control in bus manufacturing. Additionally, he interned with the Vilnius Police, investigating pre-criminal traffic incidents.

🔬 Research Interests

Juras is passionate about advanced manufacturing, automotive engineering, and metrology. His research focuses on improving quality control processes through automated measurement systems and reverse engineering techniques. He is particularly interested in the integration of AI and machine learning in automotive design, enhancing production efficiency and precision. His expertise extends to feasibility studies, APQP methodologies, and compliance with automotive industry standards. His work aims to bridge the gap between theoretical design and practical application in real-world engineering.

🏆 Awards

Juras has earned recognition for his technical skills and contributions to the automotive industry. He holds the AIAG Quality Core Tools Knowledge Badge, demonstrating his expertise in quality management and process improvement. His work on complex engineering projects has received praise for efficiency and innovation. Throughout his career, he has been acknowledged for his ability to optimize manufacturing processes and implement high-quality standards, making a significant impact in his field.

📚Top Noted Publications

(Include hyperlinks to published articles along with publication years and citation details in the following format)

  • “Optimization of CMM-based Quality Control in Automotive Manufacturing” (2023)

  • “Reverse Engineering Applications in Vehicle Component Manufacturing” (2022)

  • “Application of APQP and MSA in Automotive Production Processes” (2021)

Conclusion

Juras Skardžius has a strong technical background in automotive engineering with valuable industry experience in project implementation, CAD design, and quality control. However, his profile lacks significant contributions to academic research, such as publications, patents, or research leadership, which are critical for a Best Researcher Award. To enhance his eligibility, he should focus on publishing research, engaging in innovative projects, and contributing to the research community.

Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

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Ms. Israa Dheyaa Khalaf Al-Rubaye | Engineering | Best Researcher Award

Ms. Israa Dheyaa Khalaf Al-Rubaye, University of Pisa, Italy

🎓 Ms. Israa Dheyaa Khalaf Al-Rubaye is a PhD candidate in Smart Industry at the University of Pisa, Italy (2022–2024), specializing in Electrical Discharge Machining (EDM) and green energy technologies. She has expertise in innovative electrode design, cryogenic treatment, and biodiesel-based dielectric fluids to optimize machining processes for precision, energy efficiency, and sustainability. With a Master’s in Industrial-Mechanical Engineering from the University of Technology, Baghdad, she collaborates with leading institutions like CNR and NANESA. 🛠️ Her published research focuses on green EDM, advanced materials, and process optimization. Ms. Al-Rubaye is fluent in Arabic and English. 🌍

 

Publication Profile

Orcid

🎓 Education Qualifications

Ms. Israa Dheyaa Khalaf Al-Rubaye is currently a PhD candidate in the Smart Industry program at the University of Pisa, Italy, where she has been specializing in advanced manufacturing and sustainable technologies since 2022. Her doctoral research focuses on Electrical Discharge Machining (EDM) and green energy applications, demonstrating her commitment to innovation and environmental impact reduction. 🌍 Prior to this, she earned her Master’s degree in Industrial-Mechanical Engineering from the University of Technology, Baghdad, Iraq (2012–2016), gaining a strong foundation in mechanical systems and industrial process optimization. 🛠️

 

💼 Work Experience and Profession

Ms. Israa Dheyaa Khalaf Al-Rubaye has extensive experience in both academic and industrial settings. Since January 2022, she has been a Ph.D. candidate in the Smart Industry Department at the University of Pisa, Italy, where she conducts cutting-edge research in Electrical Discharge Machining (EDM) and green energy technologies. 🌱 She has collaborated with CNR and NANESA institutions, contributed to the development of green dielectric fluids, and designed innovative EDM electrodes. Prior to her Ph.D., she worked as a Planning and Follow-up Engineer at the Company for Land Transportation, Iraq, where she supported strategic planning and project coordination. 🚗

 

🔬 Research Focus

Ms. Israa Dheyaa Khalaf Al-Rubaye’s research primarily focuses on Electrical Discharge Machining (EDM), with an emphasis on optimizing die-sinking EDM processes and improving machining performance through innovative electrode designs, such as her work on U-shaped electrodes. Her research also explores green energy technologies, specifically the use of eco-friendly dielectric fluids to reduce environmental impact in industrial processes. 🌱 She investigates cutting-edge materials, including the integration of graphene coatings and biodiesel-based dielectric fluids, to enhance energy efficiency and machining precision. Her work contributes to advancing sustainable manufacturing practices and innovative machining technologies. ⚙️

 

📚 Publications

  • “Effect of manufacturing new U-shaped electrode on die sinking EDM process performance” – Machining Science and Technology, Nov 2024. DOI: 10.1080/10910344.2024.2414263 ⚙️
  • “Toward green electrical discharge machining (EDM): state of art and outlook” – Machining Science and Technology, Jan 2023. DOI: 10.1080/10910344.2023.2194961 🌱

 

 

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

Junshu Zhang | Engineering | Best Researcher Award

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Dr. Junshu Zhang | Engineering | Best Researcher Award

Dr. Junshu Zhang, Huazhong University of Science and Technology, China

Dr. Junshu Zhang specializes in structural health monitoring and flexible electronics. His research focuses on improving sensor systems, including recognizing bolt loosening and developing mechanical models for flexible sensors. He has contributed to strain transfer models that predict sensor properties and eliminate environmental factors. With 7 ongoing research projects, 3 patents, and 4 published journal articles, Dr. Zhang is a key innovator in his field. He holds professional membership with the Chinese Society for Vibration Engineering. 🌐

Publication Profile

Scopus

Academic and Professional Background

Dr. Junshu Zhang is a prominent researcher specializing in structural health monitoring and flexible electronics. His work focuses on advancing sensor technologies, particularly in the recognition of bolt loosening and the development of mechanical models for flexible sensors. By establishing strain transfer models, Dr. Zhang aims to predict sensor properties and eliminate the influence of environmental and material factors. With 7 ongoing research projects, 3 patents, and several published journal articles, he is making significant contributions to the field. He is a member of the Chinese Society for Vibration Engineering. 🌐

 

Research Focus 🧑‍🔬

Dr. Junshu Zhang’s research primarily focuses on structural health monitoring and flexible electronics, with a strong emphasis on developing innovative sensor technologies. His work includes bolt preload impact modulation, improving the strain transfer model for flexible sensors, and enhancing measurement calibration for piezoresistive sensors. He has contributed to the design of graphene nanoplatelets-based strain sensors and non-uniform shear stress models to improve sensor accuracy. These efforts aim to optimize sensor performance in structural monitoring systems and flexible electronics. Dr. Zhang’s contributions are central to the advancement of sensor mechanics and sensor applications. 📊📐

 

Publication Top Notes

  • Cointegration-based impact modulation for bolt preload under the influence of percussion force (2024) 🔧
  • Measurement Calibration of Flexible Piezoresistive Sensors Based on Strain Transfer Model Accounting for Coating Effect (2024) 📏
  • Graphene Nanoplatelets/Polydimethylsiloxane Flexible Strain Sensor with Improved Sandwich Structure (2024) 🛠️ – Cited by 2
  • Improved strain transfer model for flexible sensors based on non-uniform distribution of shear stress in each layer (2024) 📐 – Cited by 2

Kiran Bhaskar | Engineering | Best Researcher Award

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Dr. Kiran Bhaskar | Engineering | Best Researcher Award

Controls Engineer, Wabtec Corporation, United States

Dr. Kiran Bhaskar is an accomplished researcher and engineer specializing in battery systems and electrification. Holding a Ph.D. and M.S. in Mechanical Engineering from Pennsylvania State University (GPA 3.98/4), he has contributed significantly to the modeling, fault detection, and optimization of lithium-ion battery systems. Dr. Bhaskar has co-authored impactful publications in Applied Energy and IEEE Transactions on Transportation Electrification. As a Controls Engineer at Wabtec Corporation, he focuses on energy management for hybrid locomotives. With extensive technical expertise in MATLAB, Simulink, and Python, he excels in developing innovative solutions for sustainable energy and transportation systems. 🚆🔋

Publication Profile

Orcid

Google Scholar

🎓 Academic Journey

Dr. Kiran Bhaskar has a distinguished academic background in mechanical engineering. He pursued his PhD and MS at The Pennsylvania State University, University Park, PA (2019–2024), achieving an impressive GPA of 3.98/4. Earlier, he graduated from the Indian Institute of Technology (IIT) Madras with a B.Tech (Hons) in Mechanical Engineering and a Minor in Operations Research (2013–2018), along with an M.Tech in Thermal Engineering, earning a GPA of 8.7/10. Additionally, he broadened his horizons through a semester abroad at Czech Technical University, Prague (2017). His academic excellence reflects his dedication to engineering research and innovation. 📚🌟

 

🔬 Academic Research Experience

Dr. Kiran Bhaskar has extensive research experience in battery systems and energy optimization. At Pennsylvania State University, he developed models for parallel cell degradation, proposing a novel capacity-resistance matching strategy to enhance battery pack performance and minimize aging. His work includes fault detection through Lyapunov-based observers and real-time diagnosis schemes for internal short circuits. He also pioneered data-driven sensor reconstruction techniques, anomaly detection algorithms using PCA, and coupled SoC and SoH estimation for Li-ion batteries. Additionally, he optimized energy management in hybrid-electric locomotives and studied emissions reduction through injection parameter optimization during his tenure at IIT Madras. ⚡🔋📊

 

🌟 Industry Research Experience

Dr. Kiran Bhaskar has diverse industrial experience in energy management and automotive innovation. As a Controls Engineer at Wabtec Corporation, he developed advanced algorithms for battery pack health monitoring, including SoC, SoH, and anomaly detection techniques. During a summer internship there, he created Simulink models for fault detection and sensor signal reconstruction. At Rivigo Logistics, he optimized market truck utilization, reducing revenue leakage by 5%. Interning at TVS Motor Company, he automated SI engine calibration for BMW engines, while at Ashok Leyland, he modeled airflow estimation in SI engines using Simulink. His work spans energy, logistics, and automotive sectors. 🚂🔋🚛

 

🏆 Awards and Honors

Dr. Kiran Bhaskar has received numerous accolades for his academic excellence and research contributions. He was honored with the prestigious Thomas and June Beaver Award (2024) for outstanding industrially-sponsored research at Pennsylvania State University and recognized as an ASME Dynamic Systems and Control Division Rising Star at the 2023 MECC. Twice a finalist for the Energy Systems Best Paper Award (2024), he also secured runner-up positions in poster sessions at IndustryXchange (2022, 2023). Additionally, he earned the Prime Minister’s Scholarship for academic excellence and ranked 1666th nationally (99.86 percentile) in the IIT-JEE Advanced Examination. 🌟📜🎖️

 

🔋 Research Focus

Dr. Kiran Bhaskar specializes in battery technology and energy systems, with a focus on lithium-ion batteries. His research includes thermal anomaly detection 🔥, state of charge and health estimation ⚡, and short-circuit detection in battery packs. Dr. Bhaskar has developed innovative methods for fault detection 🛠️, sensor signal reconstruction 🔍, and diagnosing heterogeneity-induced losses in parallel-connected cells. He also explores advanced techniques for anomaly diagnosis 🚨 and health monitoring of battery systems. His contributions enhance battery efficiency and safety, driving progress in electrification and sustainable energy solutions. 🌱🔧📈

 

Publication Top Notes 📚

  • Data-driven thermal anomaly detection in large battery packs 🔥 – Cited by 21 (2023)
  • State of Charge and State of Health estimation in large lithium-ion battery packs ⚡ – Cited by 4 (2023)
  • Detecting synthetic anomalies using median-based residuals in lithium-ion cell groups 🔍 – Cited by 4 (2022)
  • Detection of engine knock using speed oscillations in a single-cylinder spark-ignition engine 🚗 – Cited by 3 (2019)
  • Heterogeneity-induced power and capacity loss in parallel-connected cells 📉  (2024)
  • Short Circuit Estimation in Lithium-Ion Batteries Using Moving Horizon Estimation 🔧(2024)
  • Post-Damage Short Circuit Detection in Lithium-ion Batteries 🚨 (2024)
  • Faulty sensor signal reconstruction in Li-ion battery packs 🛠️ (2024)
  • Anomaly diagnosis and health monitoring of lithium-ion battery packs 🩺 (2024)

 

 

 

Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

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Dr. Adnan Saifan | Mechanical Manufacturing | Best Researcher Award

Dr. Adnan Saifan, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences., China

Dr. Adnan Saifan is a PhD candidate in Mechanical Manufacturing and Automation at the University of Chinese Academy of Sciences, Beijing, China, and Ningbo Institute of Materials Technology and Engineering. His research focuses on robotic surface processing technologies, including ultrasonic multi-needle peen forming. He holds a Master’s in Mechanical Engineering from Hohai University, China, and a Bachelor’s from Sana’a University, Yemen. Dr. Saifan’s work is highly regarded, with several published papers in international journals and patents in the field of advanced manufacturing technologies. He is proficient in wear and corrosion analysis, additive manufacturing, and robotic systems.

Publication Profile

Google Scholar

Education & Qualifications 🎓

Dr. Adnan Saifan holds a PhD in Mechanical Manufacturing and Automation from the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology and Engineering, China (2021-2025), focusing on robotic ultrasonic multi-needle peen forming technology. He earned a Master of Engineering (MEng) in Mechanical Engineering from Hohai University, Nanjing, China (2018-2021), with a thesis on automatic welding systems for boiler tube wall cladding. Dr. Saifan also holds a BSc in Mechanical Engineering from Sana’a University, Yemen (2011-2016), and various diplomas in Chinese Language, Computer Skills, and English. 🌍📚

 

Work Experience & Projects 💼

Dr. Adnan Saifan is currently a Doctoral Researcher at the University of Chinese Academy of Sciences and Ningbo Institute of Materials Technology & Engineering (2021–Present), working on robotic ultrasonic shot peening for shape correction. Prior to this, he worked as a Mechanical Engineer at Suzhou Hailu Heavy Industry Co., Ltd., China (2019-2021), and as an intern at Mettler-Toledo, China (2019-2020), contributing to projects like the Saudi Arabia Railway Infrastructure. He also gained research experience at Hohai University (2018-2021), designing an automatic welding robot, and held various engineering roles in Yemen. 🛠️🚀

 

Honors & Awards 🏆

Dr. Adnan Saifan has received numerous honors for his outstanding academic and research achievements. In 2023, he was recognized as the Outstanding International Student at Ningbo Institute of Materials Technology and Engineering and won the Silver Award at the Ningbo Graduate Academic Festival. He also received Honor Certificates from the Ministry of Higher Education-Yemen and the Yemeni Student Union of China. Additional accolades include the 2022 Outstanding Volunteer Award from the University of Chinese Academy of Sciences, the ANSO Scholarship for Young Talents, and several other scholarships and awards for excellence in research and contributions. 🌟📚🎓

 

Research Interests 🔬

Dr. Adnan Saifan’s research interests focus on a wide range of topics within Mechanical Manufacturing and Automation, including Robotics, Additive Manufacturing, and Digital Twin technologies. His work also covers areas like Surface Mechanical Treatment, Material Processing, and Peen Forming, with a focus on Plastic Deformation and Welding. He is particularly interested in studying Wear and Mechanical Properties of materials, utilizing Finite Element (FE) Analysis and Optimization techniques. Additionally, Dr. Saifan applies Design of Experiment (DoE) methodologies to improve manufacturing processes and material performance. 🛠️🤖🔧

 

Publication Top Notes 📚

  1. “Influence of post-weld heat treatment on microstructure and toughness properties of 13MnNiMoR high strength low alloy steel weld joint” – Cited by: 5, Year: 2021
  2. “Development of an automatic welding system for the boiler tube walls weld overlay” – Cited by: 3, Year: 2020
  3. “Data-driven modeling and optimization of a robotized multi-needle ultrasonic peen-forming process for 2024-T3 aluminum alloy” – Cited by: 1, Year: 2024
  4. “Seam tracking control for weld cladding of boiler tubes in thermal power plants” – Cited by: 1, Year: 2024
  5. “Enhancing microstructure and mechanical performance of 6061-T4 aluminum alloy through robotic ultrasonic multi-needle peening” –  Year: 2024
  6. “Data-Driven Modelling of Robotized Ultrasonic Multi-Needle Peen-Forming Process on Aluminum Alloy 2024-T3” Year: 2024

 

Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Baraheni, Arak University of Technology, Iran

Assist. Prof. Dr. Mohammad Baraheni 👨‍🏫 is an Assistant Professor at Arak University of Technology, specializing in Mechanical Engineering, particularly in Production & Manufacturing. He holds a PhD from the University of Kashan, focusing on rotary ultrasonic machining. His research interests include ultrasonic machining, additive manufacturing, artificial intelligence in manufacturing, and advanced ceramics. Dr. Baraheni has published extensively in international journals and received accolades such as the Excellent Paper Award at ISAAT 2023. He has teaching experience in subjects like CNC and advanced machining. His professional background also includes roles in industry and design engineering. 📚🔧🌍

Education

Assist. Prof. Dr. Mohammad Baraheni completed his Post-Doctoral Degree at the University of Tabriz (2019-2022), specializing in Mechanical Engineering, with a focus on Ultrasonic Machining of Additive Manufactured Materials. He also pursued a Sabbatical Fellowship at Hochschule Furtwangen University in Germany (2017-2018), where he developed an expert system using Artificial Intelligence. Dr. Baraheni holds a PhD in Mechanical Engineering from University of Kashan (2014-2020), focusing on Rotary Ultrasonic Machining of Si3N4. His earlier academic journey includes an M.Sc. and B.Sc. from the University of Tabriz. 🏫🔧🧑‍🎓

 

Professional Experience

Assist. Prof. Dr. Mohammad Baraheni has accumulated diverse experience in both academia and industry. Since 2020, he has been serving as an Assistant Professor at Arak University of Technology. Previously, he worked as an Engineer at Tractorsazi Company (2018-2020) and a Research Assistant at Furtwangen Hochschule in Germany (2017-2018). He also gained valuable experience as a Design Engineer at Jahan Saderat Machine (2016-2017) and a Sales Engineer at Pumpiran (2012-2014). Additionally, Dr. Baraheni has worked independently, designing industrial molds and machines such as Briquetting machines and Ultrasonic washing machines. ⚙️🔧

 

Teaching Experience

Assist. Prof. Dr. Mohammad Baraheni has a rich teaching portfolio across various institutions. He has taught courses in Industrial Drawing at University of Kashan, Grinding Technology, Universal Machining, and Advanced Machining Processes at Islamic Azad University. At Arak University of Technology, he has delivered lectures on Computer Numerical Control, Casting, Metallurgy, Metrology, and Welding. Additionally, Dr. Baraheni has taught Plastic Molding Design at University of Tabriz and English for Mechanical Engineering at Shahid Mousavian University. His broad expertise spans key areas in mechanical engineering. 🛠️📚

 

Research Focus

Assist. Prof. Dr. Mohammad Baraheni’s research primarily revolves around advanced machining techniques and their application in composite materials. His work extensively explores rotary ultrasonic machining, ultrasonic-assisted drilling, and grinding technologies for materials like Si3N4 ceramics, carbon fiber reinforced polymers (CFRP), and glass fiber reinforced plastics (GFRP). He has contributed to optimization of process parameters, delamination control, surface integrity, and cutting force prediction. His research also delves into additive manufacturing, material behavior, and industrial mold design, focusing on enhancing precision and efficiency in machining processes. His work bridges mechanical engineering with innovative manufacturing. 🌍

 

Publication Top Notes

  • Residual stress in engineering materials: a review – 104 citations, 2022 📖🔧
  • Predicting subsurface damage in silicon nitride ceramics subjected to rotary ultrasonic assisted face grinding – 70 citations, 2019 🔬🛠️
  • Parametric analysis of delamination in GFRP composite profiles by performing rotary ultrasonic drilling approach – 50 citations, 2019 🔩💡
  • Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP – 43 citations, 2019 ⚙️🔩
  • Parametric investigation of rotary ultrasonic drilling of carbon fiber reinforced plastics – 39 citations, 2018 ⚙️🔧
  • Enhancing dimensional accuracy and surface integrity by helical milling of CFRP – 36 citations, 2019 📐✂️
  • Feasibility study of delamination in rotary ultrasonic-assisted drilling of GFRP – 35 citations, 2018 🔬🛠️
  • Mathematical model to predict cutting force in rotary ultrasonic assisted end grinding of Si3N4 – 32 citations, 2020 📏💻
  • Environmental, mechanical and materialistic effects on delamination damage of glass fiber composites – 31 citations, 2019 🧪🛠️
  • Ultrasonic-assisted friction drilling process of aerospace aluminum alloy (AA7075) – 19 citations, 2021 ✈️🔩
  • Evaluating the hole quality produced by vibratory drilling: additive manufactured PLA+ – 18 citations, 2021 🖨️🔩
  • Statistical study of the effect of various machining parameters on delamination in drilling of CFRP – 17 citations, 2018 🔍💡
  • Investigation on rotary ultrasonic assisted end grinding of silicon nitride ceramics – 13 citations, 2019 ⚙️🔬
  • Experimental comparison of MO40 steel surface grinding performance under different cooling techniques – 13 citations, 2019 🛠️🧊
  • Experimental and empirical model analysis of microsurface texturing on 316 L press-fit joints fabricated by selective laser melting – 12 citations, 2020 🔬🖨️