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.

Rebecca Alowo| Engineering | Best Researcher Award

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Dr. Rebecca Alowo| Engineering | Best Researcher Award

Assist. Prof. Dr. Komal Bansal, Dev Samaj College for Women, Affiliated to Panjab University Chandigarh, India, 

Dr. Rebecca Alowo is a distinguished researcher whose work bridges the gap between engineering and societal impact. Her research in sustainable groundwater management and WASH has transformed lives in Uganda and beyond. Her teaching and advocacy roles complement her research, highlighting her as a well-rounded candidate with an excellent balance of academic rigor, leadership, and practical impact.

Publication Profile

Scopus

 Experience:

Dr. Alowo is currently a Lecturer in the Department of Civil Engineering Technology at the University of Johannesburg, where she teaches courses such as Hydraulics, Water Reticulation Design, and Water & Wastewater Engineering. Since 2020, she has integrated innovative online teaching methods and assessment tools. Previously, she served as a lecturer at Central University of Technology, Vaal University of Technology, and the University of Free State, focusing on Strength of Materials and supervising master’s students. She also participated in consultations for the Water Technologies Demonstration Programme and reviewed research for international conferences. During her time at the University of Cambridge, she contributed to sustainable development projects, including the Cornwall Sustainable Development Plan and the evaluation of the Cambridge Guided Busway.

 

Educational :

Dr. Rebecca Alowo earned her Doctor of Engineering in Civil Engineering from the Central University of Technology, Free State, South Africa, where she conducted groundbreaking research on sustainable groundwater management through hydrological parameter modeling in the Modder River Catchment (2016–2021). She completed her Master of Philosophy in Engineering for Sustainable Development at the University of Cambridge, UK (2008–2009), focusing on community water resources management as a driver of development in Uganda. Her academic journey also includes a Post-Graduate Diploma in Project Planning and Management from Uganda Management Institute, Kampala, Uganda (2005–2006), and a Bachelor of Science in Civil Engineering with honors from Makerere University, Kampala, Uganda (1998–2003). Earlier, she excelled in her secondary education at Mt. St Mary’s College Namagunga, earning distinctions in key subjects for both her Uganda Advanced Certificate of Education and Uganda Certificate of Education.

 

Awards & Fellowships:

Dr. Alowo successfully lobbied for the establishment of Uganda’s WASH Parliamentary Forum and was recognized for her contributions to ICT-based solutions in water and sanitation management.

Technical Skills:

Dr. Alowo is proficient in GIS-based Management Information Systems and advanced hydrological modeling tools. She is also skilled in leveraging e-learning platforms such as Blackboard for modern teaching methodologies.

Publication Top Notes:

  • Title: An Investigation on Construction Project Development Planning Delays in South Africa
    • Authors: Nyaga Githae, B.; Hagir, H.; Alowo, R.
    • Year: 2024
    • Citations: 0
  • Title: GIS-based Vulnerability Model Assessment of The Alexandra Jukskei Catchment in South Africa
    • Authors: Gadisi, V.; Alowo, R.; Nkhonjera, G.
    • Year: 2024
    • Citations: 0
  • Title: Apps for Monitoring of Hydrological Parameters in the Alexandra Jukskei Catchment in South Africa
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2024
    • Citations: 0
  • Title: Understanding Land Use Planning and Sustainable Development from the Perspective of Smart Groundwater Monitoring
    • Authors: Kubuya, A.K.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Pollution in the Urban Environment: A Research on Contaminated Groundwater in the Aquifers Beneath the Qoboza Klaaste (QK) Building at University of Johannesburg in South Africa
    • Authors: Patience, D.; German, N.; Jeffrey, M.; Alowo, R.
    • Year: 2023
    • Citations: 0
  • Title: A Modelling Framework for Groundwater Sustainability in the Upper Orange Catchment of South Africa
    • Author: Alowo, R.
    • Year: 2023
    • Citations: 0
  • Title: Characterisation of Local Borehole Water within the Platinum Belt in Mokopane, Limpopo, Republic of South Africa
    • Authors: Weber, M.E.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Implementing a Groundwater Monitoring System in the Jukskei River Catchment: A TypeScript and MySQL Approach
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: The Development of an Application for Groundwater Management in Jukskei River Catchment of South Africa
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Apps for Smart Groundwater Monitoring and Assessments: A Case Study of Regideso Catchment in Kimbanseke
    • Authors: Kabuya, A.K.; Alowo, R.; Nkhonjera, G.K.
    • Year: 2022
    • Citations: 0

Conclusions:

Dr. Alowo is a strong candidate for the “Best Researcher Award.” Her ability to translate research into actionable solutions, particularly in underprivileged communities, sets her apart. With further enhancement of her publication record and expansion of global collaborations, she could be a leading figure in sustainable development research worldwide

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

Martinson Yeboah Appiah | Engineering | Best Researcher Award

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Mr. Martinson Yeboah Appiah | Engineering | Best Researcher Award

Mr. Martinson Yeboah Appiah, Jiangsu University, China

Mr. Martinson Yeboah Appiah, a Ghanaian professional, is a Quantitative Researcher at Jiangsu University, China 🇨🇳. He holds an MSc in Management Science and Engineering from Jiangsu University (2020) and a BSc in Ports and Shipping Administration from the Regional Maritime University, Ghana 🇬🇭. His expertise spans transport planning, supply chain management, and operations research. Notable accomplishments include publications on logistics optimization and a Presidential Scholarship award (2017–2020). Proficient in Python and MATLAB, Martinson integrates data-driven solutions into logistics and education. His research emphasizes low-carbon routing and cold chain logistics, contributing to sustainability and innovation. ✨

 

Publication Profile

Scopus

🌟 Professional Experience

Mr. Martinson Yeboah Appiah has extensive experience across academia and industry. Currently, he is a Quantitative Researcher at Jiangsu University 🇨🇳, where he teaches Operations Research and Managerial Economics, conducts data analysis using Python and MATLAB, and explores innovations like green logistics. As a Research Assistant (2018–2020), he supervised student projects and taught Mathematics and Science. Earlier, at the Regional Maritime University 🇬🇭, he organized lectures, educational trips, and mentored students (2016–2018). Additionally, he worked as a Stevedore at Ghana Ports and Harbours Authority, tallying containers and managing cargo operations. His diverse expertise blends teaching, research, and logistics. 📊🚢

 

🎓 Educational Background

Mr. Martinson Yeboah Appiah holds a Master of Science in Management Science and Engineering from Jiangsu University 🇨🇳 (2017–2020). His coursework included Operations Management, Game Theory, Econometric Models, and Managerial Economics, equipping him with advanced analytical and decision-making skills. Earlier, he earned a Bachelor of Science in Ports and Shipping Administration from the Regional Maritime University 🇬🇭 (2012–2016). His studies covered areas such as Marine Engineering, Logistics Management, Maritime Administration, and the Law of the Sea. These academic foundations have empowered him to excel in operations, logistics, and maritime studies. 🌍📊🚢

 

📜 Professional Qualifications

Mr. Martinson Yeboah Appiah is a distinguished professional with certifications in logistics and transport. He earned his Diploma in Logistics and Transport (DILT) from the Chartered Institute of Logistics and Transport, UK 🇬🇧 (2016–2018) in Accra, Ghana 🇬🇭. Additionally, he completed a specialized training program on Managing Logistics in Oil and Gas in April 2014, broadening his expertise in the energy sector. These qualifications underscore his proficiency in logistics management, particularly in high-demand industries such as oil and gas. 🚛⛽📦

 

🔍 Research Interests

Mr. Martinson Yeboah Appiah’s research interests span diverse and impactful areas. He is deeply engaged in Transport Planning and Management 🚉, focusing on optimizing systems for efficiency and sustainability. His work in Supply Chain Management 📦 emphasizes innovation and cost minimization. With expertise in Operations Research 📊, he explores advanced analytical methods to solve complex logistical challenges. Additionally, his passion for Economic Geography 🌍 drives him to investigate the spatial and economic dynamics of transportation and trade systems. These interests align with his goal of contributing to sustainable development and global connectivity.

 

Publication Top Notes 📚

  • 📘 Solving a low-carbon routing problem for perishable distribution food – Appiah, M.Y., Huaping, S. | Published: 2024 | International Journal of Sustainable Engineering.
  • 📘 Route optimization cold chain logistic distribution using greedy search method – Qiang, X., Appiah, M.Y., Boateng, K., Appiah, F.V.W. | Published: 2020 | Cited by: 11 | OPSEARCH.

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

 

Mohammad Jafar Hemmati | Engineering Award | Best Researcher Award

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Assist. Prof. Dr. Mohammad Jafar Hemmati | Engineering Award | Best Researcher Award

Assist. Prof. Dr. Mohammad Jafar Hemmati, Sirjan University of Technology, Iran

Assist. Prof. Dr. Mohammad Jafar Hemmati, based in Kerman, Iran, is an accomplished electrical engineer specializing in low-voltage and low-noise oscillator designs. He holds a PhD in Electrical Engineering from Shahid Bahonar University of Kerman (2019), focusing on Colpitts quadrature oscillators in CMOS technology. He also earned an MSc from Ferdowsi University of Mashhad (2010) and a BSc from Shahid Chamran University of Kerman. Currently, he lectures at Sirjan University of Technology, where he teaches courses on CMOS Integrated Circuits and Digital Logic Circuits. His research interests include VCOs, frequency dividers, and low-noise amplifiers. 📡👨‍🏫📘

 

Publication Profile

Google Scholar

Education 🎓

Dr. Mohammad Jafar Hemmati completed his Ph.D. in Electrical Engineering at Shahid Bahonar University of Kerman (2014-2019). His thesis focused on designing a low-voltage Colpitts quadrature oscillator using the gm-enhanced technique in CMOS technology. He also holds an M.Sc. in Electrical Engineering from Ferdowsi University of Mashhad (2008-2010) and a B.Sc. from Shahid Chamran University of Kerman (2003-2007). His academic background strongly supports his expertise in low-power and low-noise circuit design.

Work Experience 💼

Dr. Hemmati is currently a lecturer at Sirjan University of Technology, where he teaches CMOS Integrated Circuits, Digital Logic Circuits, and more. His previous roles include being the head of the electrical department at Islamic Azad University, Firouzabad branch, and a design engineer at Kerman Tablo Electrical and Electronics Engineering Corporation. His broad teaching experience and industry involvement enrich his contributions to research and academia.

Research Interests 🔬

His research focuses on designing low-voltage and low-noise voltage-controlled oscillators (VCOs), injection-locked frequency dividers, low-noise amplifiers, and active mixers. These areas are critical for advancing modern communication and signal processing systems, reflecting his strong alignment with cutting-edge engineering challenges.

Conclusion 🌟

Dr. Mohammad Jafar Hemmati’s solid educational foundation, extensive research, and professional experience make him a highly suitable candidate for the Research for Best Researcher Award. His innovative work on low-power, low-noise VCOs and oscillators has significantly contributed to the advancement of electrical engineering, establishing him as a leader in his field.

 

Publication Top Notes

  • 📚 A CMOS quadrature VCO with optimized Colpitts topology for low-voltage applications – 9 citations, 2018
  • 📚 Design optimization of the complementary voltage controlled oscillator using a multi-objective gravitational search algorithm – 8 citations, 2023
  • 📚 A low-voltage swing-enhanced Colpitts CMOS LC-QVCO based on first-harmonics coupling – 7 citations, 2019
  • 📚 Ultra‐low‐phase‐noise CMOS LC quadrature voltage controlled oscillator with Colpitts topology – 7 citations, 2014
  • 📚 A second-harmonic LC-quadrature voltage controlled oscillator with direct connection of MOSFETs’ substrate – 6 citations, 2012
  • 📚 Analysis and review of main characteristics of Colpitts oscillators – 5 citations, 2021
  • 📚 CMOS second-harmonic quadrature voltage controlled oscillator using substrate for coupling – 5 citations, 2011
  • 📚 Novel six‐phase ring voltage controlled oscillator with wide frequency tuning range – 4 citations, 2024
  • 📚 A New Low-Power and High-Linearity CMOS Bulk-Injection Mixer in Technology – 4 citations, 2018
  • 📚 Low power differential Colpitts injection-locked frequency dividers using 0.18 μm CMOS technology – 3 citations, 2018

 

Ali Fardoost | Engineering | Best Researcher Award

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Mr. Ali Fardoost | Engineering | Best Researcher Award

Graduate Research Assistant, Rutgers University,  United States

Ali Fardoost is a Ph.D. student in Electrical Engineering at Rutgers University, with a strong focus on biosensing, biosensor fabrication, and nanobiotechnology. His research involves the development of innovative cancer biomarker detection systems, microfluidics, and nanowell-based biosensors. With a B.Sc. from the University of Tehran, his academic achievements include a top ranking and an award-winning thesis on cancer detection using real-time impedance measurement. Ali has hands-on experience in cleanroom environments and expertise in advanced software tools. His contributions are demonstrated in several publications, reflecting his dedication to advancing healthcare diagnostics and nanotechnology.

Publication Profile :

Scopus

Educational Background :

Ali Fardoost holds a Ph.D. in Electrical Engineering from Rutgers University and a B.Sc. from the University of Tehran, with excellent academic records (GPA of 4/4 and 3.64/4, respectively). His B.Sc. thesis, which developed a system for differentiating healthy and cancerous lymph nodes, reflects a focus on real-world, critical health issues. Being ranked in the top 0.07% of a national university entrance exam and being recognized as an exceptional talent at the University of Tehran further underscore his academic excellence and intellectual prowess.

Professional Background :

Ali Fardoost is a dedicated researcher currently pursuing his Ph.D. in Electrical Engineering at Rutgers University, with a focus on biosensor development for cancer biomarker detection. He is a Graduate Research Assistant in the NanoBioElectronics Lab, where he designs and fabricates nanowell-based biosensors for healthcare applications. His prior experience includes research on blood impedance spectroscopy for breast cancer diagnosis at the University of Tehran. Ali has developed and tested various biosensors, combining his skills in microfabrication and data analysis. His work aims to innovate in biomedical diagnostics, with a particular focus on cancer detection technologies.

Research Interests :

Ali Fardoost’s research interests span a range of cutting-edge topics in biosensing, biosensor fabrication, microfluidics, nanobioelectronics, and cancer biomarker detection. His focus on developing biosensors for cancer detection, particularly using microfabrication techniques and impedance spectroscopy, aligns with the forefront of bioengineering research. Additionally, his work on nanobiotechnology indicates his commitment to advancing interdisciplinary research, blending electrical engineering with biomedical applications. These areas are pivotal for innovations in healthcare, specifically in diagnosing and monitoring cancer, a critical global health concern.

Research Experience :

Ali has extensive research experience at both Rutgers University and the University of Tehran. His work includes fabricating biosensors for cancer biomarker detection, performing blood impedance spectroscopy for breast cancer diagnosis, and measuring the impedance of thyroid nodules for intraoperative assessment. His hands-on expertise in microfabrication, sensor design, and real-time diagnostics, coupled with his contributions to impactful projects such as cancer detection, demonstrates his deep engagement in the practical application of his research.

Award And Recognition :

Ali Fardoost has been recognized for his exceptional academic and research achievements. He was awarded the Best B.Sc. Thesis Award at the University of Tehran in 2023 for his innovative work on cancer detection using impedance measurement. Additionally, he was accepted for a Master’s program without the need for an entrance exam due to his exceptional academic performance. Ranked 25th among all undergraduate students at the University of Tehran’s College of Electrical and Computer Engineering, Ali also placed in the top 0.07% of participants in Iran’s highly competitive Nationwide University Entrance Exam (Konkoor).

Conclusion :

Ali Fardoost’s strong academic background and cutting-edge research in biosensing, cancer biomarker detection, and nanobiotechnology make him a highly suitable candidate for the Research for Best Researcher Award. His Ph.D. work at Rutgers University and B.Sc. from the University of Tehran demonstrate his exceptional academic performance, while his research projects reflect a deep commitment to solving real-world healthcare challenges. His achievements in microfluidics and biosensor fabrication, along with his focus on cancer diagnosis, show his potential for meaningful contributions to biomedical engineering. Overall, his innovative research and dedication make him a deserving candidate for this prestigious award.

Publication Top Notes :

  • Optimization of Nanowell-Based Label-Free Impedance Biosensor Based on Different Nanowell Structures – Fardoost, A., Raji, H., Javanmard, M. (2024) 📅 Biosensors, 14(9), 426 | Cited by: 0
  • Intraoperative Assessment of High-Risk Thyroid Nodules Based on Electrical Impedance Measurements: A Feasibility Study – Beheshti Firoozabadi, J., Mahdavi, R., Shamsi, K., Akbari, M.E., Abdolahad, M., Fardoost, A. (2022) 📅 Diagnostics, 12(12), 2950 | Cited by: 0

GAMAL ABDELNASSER ALLAM ABOUZIED | Engineering | Best Researcher Award

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Mr. GAMAL ABDELNASSER ALLAM ABOUZIED | Engineering | Best Researcher Award

Assistant Researcher, National Water Research Center, Egypt

Gamal Abdelnasser Allam Abouzied is a promising candidate for the Research for Best Researcher Award. He holds a PhD in Earthquake and Environmental Hazards from Università Degli Studi G. D’Annunzio Di Chieti-Pescara and has accumulated over eight years of research experience. His educational background includes a master’s degree from CIHEAM Bari and a bachelor’s degree in civil engineering from Cairo University. His deep-rooted commitment to advancing geospatial knowledge in civil engineering, water resources, and climate change makes him an exemplary candidate.

 

Publication Profile

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Education Background 

Gamal Abdelnasser Allam Abouzied has a robust educational background in civil engineering and environmental hazards. He earned his Bachelor’s degree in Civil Engineering from Cairo University, followed by a Master’s in Land and Water Resources Management from the Mediterranean Agronomic Institute of Bari (CIHEAM). He further advanced his studies by completing a PhD in Earthquake and Environmental Hazards at Università Degli Studi G. D’Annunzio Di Chieti-Pescara. His education emphasizes sustainable practices in water resource management and climate resilience.

Professional Experiences

Currently, Gamal serves as a Technical Advisor at Planetek Italia Srl, where he plays a pivotal role in project planning and management. His responsibilities include ensuring project objectives are met and fostering collaboration between teams. Previously, as an Assistant Researcher at the National Water Research Center in Egypt, he planned and managed national research projects, focusing on irrigation and water resource management. His experience also extends to using simulation models and nontraditional water resources in agriculture, showcasing his expertise in practical applications of his research.

Research Contributions

Gamal’s research is characterized by significant contributions to the understanding of climate data and its implications for water resource management. His doctoral thesis focused on creating a comprehensive daily time series for Central Italy, addressing challenges in precipitation data that are crucial for effective climate change mitigation. His publications include studies on gap-filling methods for precipitation data, indicating his ability to develop innovative solutions to complex environmental issues.

Awards and Recognition

Gamal Abdelnasser Allam Abouzied has received recognition for his outstanding contributions to the fields of environmental hazards and water resource management. His work has been acknowledged at several international conferences, and his innovative research on climate data and water resources has earned him prestigious awards, including recognition from leading institutions such as CIHEAM Bari. Gamal’s expertise in remote sensing, simulation modeling, and geospatial data analysis has positioned him as a respected figure in his field, further enhancing his reputation among peers and collaborators worldwide.

Conclusion

Given his extensive academic qualifications, professional experience, and impactful research contributions, Gamal Abdelnasser Allam Abouzied stands out as a highly suitable candidate for the Research for Best Researcher Award. His dedication to advancing knowledge in environmental hazards and water resources, combined with his ability to collaborate effectively in multidisciplinary teams, makes him an ideal recipient of this prestigious award.

Publication Top Notes  

  1. Completion of the Central Italy daily precipitation instrumental data series from 1951 to 2019. Geoscience Data Journal (2024) 🌧️ DOI: 10.1002/gdj3.267
    Cited by: Guoqiang Tang, Simon Michael Papalexiou, Martyn P. Clark, Eleonora Aruffo, Piero Di Carlo
  2. Understanding future hydrologic challenges: Modelling the impact of climate change on river runoff in central Italy. Environmental Challenges (2024) 🌍 DOI: 10.1016/j.envc.2024.100899
    Cited by: Mohsin Tariq, A.N. Rohith, R. Cibin, Eleonora Aruffo, Piero Di Carlo
  3. Design of large-scale on-demand irrigation system in the agricultural area of Corato, Apulia, Italy. Agriculture and Forestry (2018) 🌱 DOI: 10.17707/agricultforest.64.4.11
    Cited by: Marija Markoc, Milica Colovic, Shawkat Basel, Qotada Al-Ali.

Prabhakar M | Engineering | Best Researcher Award

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Dr. Prabhakar M  | Engineering | Best Researcher Award | Engineering | Best Researcher Award

Professor, Vellore Institute of Technology, Chennai,  India

M. Prabhakar is a seasoned academic with over 23 years of experience in teaching and research in electrical engineering. He holds a B.E. in Electrical and Electronics Engineering, an M.E. in Power Electronics and Drives, and a Ph.D. in Electrical Engineering. Currently a professor at Vellore Institute of Technology (VIT), Chennai, he has made significant contributions to the fields of power electronics, DC-DC converters, and DC microgrids, with over 50 published research articles. He has been actively involved in the Centre of Smart Grid Technologies and has received a seed grant of Rs. 4.53 lakhs to support his research. In recognition of his work, he has received the Research Award from VIT every year since 2012, and the Outstanding Teacher Award in 2009. His achievements in research, teaching, and securing funding demonstrate his strong qualifications, making him an excellent candidate for the Research for Best Researcher Award.

Profile:

Education

M. Prabhakar’s educational background demonstrates a strong commitment to the field of electrical engineering. He earned his Bachelor of Engineering (B.E.) degree in Electrical and Electronics Engineering from the University of Madras, Chennai, in 1998. Building on this foundation, he pursued a Master of Engineering (M.E.) in Power Electronics and Drives from Bharathidasan University, Tiruchirappalli, which he completed in 2000. His academic journey culminated in 2012 with a Ph.D. in Electrical Engineering from Anna University, Chennai. These degrees represent his deep expertise in the domains of power electronics and electrical systems, establishing the knowledge base from which his research has flourished. His educational progression highlights a focused pursuit of specialization in power electronics, further enhanced by practical and theoretical insights gained throughout his academic career. Prabhakar’s qualifications position him as an expert in his field, equipping him with the necessary foundation to drive impactful research and academic contributions.

Professional Experiences

M. Prabhakar brings over 23 years of professional experience in academia, combining teaching, research, and leadership in the field of electrical engineering. He began his career as an educator after earning his M.E. in Power Electronics and Drives in 2000. His extensive experience includes his roles as Associate Professor at Vellore Institute of Technology (VIT) since 2012, and later, Professor since 2019. He is actively involved in research related to power electronics, DC-DC converters, and microgrids. His engagement with the Centre of Smart Grid Technologies from 2022 onwards showcases his contributions to advancing energy systems. M. Prabhakar has co-authored over 50 research articles in high-impact journals and conferences and serves as a reviewer for numerous reputable journals. His expertise has been acknowledged through several awards, including the VIT Research Award, which he has received annually since 2012, and the Outstanding Teacher Award in 2009.

Research Skills

M. Prabhakar possesses a diverse set of research skills and experiences honed over more than 23 years in academia. His expertise in power electronics and DC microgrids is complemented by a robust publication record, with over 50 research articles in high-impact journals and conferences. He has successfully led various research projects, including securing a seed grant of Rs. 4.53 lakhs from Vellore Institute of Technology. As an active reviewer for esteemed journals, he critically engages with cutting-edge research, enhancing his analytical skills. His experience extends to mentoring students and collaborating with peers, fostering an environment of innovation and inquiry. Additionally, his involvement with the Centre of Smart Grid Technologies further enriches his research profile, enabling him to explore practical applications of his work. Collectively, these experiences underscore his capability as a researcher dedicated to advancing knowledge in electrical engineering and power systems.

Award And Recognitions

M. Prabhakar is a distinguished academic with over 23 years of teaching and research experience in electrical engineering. He has been recognized with several prestigious awards, including the Outstanding Teacher Award in 2009 for his exceptional contributions to education. Since 2012, he has received the Research Award from Vellore Institute of Technology (VIT) for his impactful research contributions, demonstrating his commitment to advancing knowledge in power electronics and smart grid technologies. His extensive publication record includes over 50 co-authored articles in high-impact journals and conferences, showcasing his active involvement in the research community. Additionally, he secured a seed grant of Rs. 4.53 lakhs to support his innovative research projects. M. Prabhakar’s accolades reflect his dedication to excellence in teaching, research, and community impact, solidifying his reputation as a leading figure in the field of electrical engineering.

Conclusion

M. Prabhakar’s extensive qualifications, coupled with over 23 years of teaching and research experience, establish him as a leading candidate for the Research for Best Researcher Award. His impressive academic background includes a B.E., M.E., and Ph.D. in Electrical Engineering, demonstrating his deep commitment to the field. Prabhakar’s contributions to power electronics, DC-DC converters, and DC microgrids are underscored by the publication of over 50 research articles in high-impact journals. His consistent recognition through the Research Award at Vellore Institute of Technology since 2012 and the Outstanding Teacher Award in 2009 further validate his influence as an educator and researcher. Additionally, securing a significant seed grant and his association with the Centre of Smart Grid Technologies highlight his innovative approach to research. Overall, M. Prabhakar’s exceptional academic credentials, research contributions, and ongoing dedication to advancing electrical engineering make him an exemplary choice for this prestigious award.

Publication Top Notes

  • Article
    Title: Non-isolated high gain DC–DC converter with ripple-free source current
    Authors: Valarmathy, A.S., Prabhakar, M.
    Journal: Scientific Reports
    Year: 2024
    Citations: 1
  • Book Chapter
    Title: High gain DC-DC converters for photovoltaic applications
    Authors: Prabhakar, M., Revathi, B.S.
    Book: Power Converters, Drives and Controls for Sustainable Operations
    Year: 2024
    Citations: 0
  • Editorial
    Title: Modelling, design and control of power electronic converters for smart grids and electric vehicle applications
    Authors: Prabhakar, M., Tofoli, F.L., Elgendy, M.A., Wang, H.
    Journal: IET Power Electronics
    Year: 2024
    Citations: 0
  • Article
    Title: Reconfigurable high step-up DC to DC converter for microgrid applications
    Authors: Tewari, N., Paul, N., Jayaraman, M., Prabhakar, M.
    Journal: IET Power Electronics
    Year: 2024
    Citations: 6
  • Article
    Title: High gain interleaved boost-derived DC-DC converters – A review on structural variations, gain extension mechanisms and applications
    Authors: Valarmathy, A.S., Prabhakar, M.
    Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    Year: 2024
    Citations: 2
  • Article (in Press)
    Title: Dual-input step-up switched-capacitor multilevel inverter with reduced voltage stress on devices
    Authors: Ghelichi, A., Varesi, K., Zeinaly, A., Prabhakar, M.
    Journal: International Journal of Circuit Theory and Applications
    Year: 2024
    Citations: 0
  • Article (in Press)
    Title: High gain interleaved DC-DC converter with ripple-free input current and low device stress
    Authors: Valarmathy, A.S., Mahalingam, P., Prabhakar, M.
    Journal: International Journal of Electronics
    Year: 2024
    Citations: 1
  • Conference Paper
    Title: Performance Analysis of Asymmetric High Gain Multi-Input Converter under Widely Fluctuating Inputs
    Authors: Mohana Preethi, V., Prabhakar, M., Kumar, N.S.
    Conference: ACM International Conference Proceeding Series
    Year: 2023
    Citations: 0
  • Book Chapter
    Title: Interleaved Cubic Boost Converter
    Authors: Ram, C.S., Shiggavi, A.B., Maharaajan, A.A., Thiyagarajan, R.A., Prabhakar, M.
    Book: IoT and Analytics in Renewable Energy Systems (Volume 2): AI, ML and IoT Deployment in Sustainable Smart Cities
    Year: 2023
    Citations: 1
  • Conference Paper
    Title: Design and Simulation of Coupled Inductor-Based Asymmetric High Gain Multi-input DC–DC Converters
    Authors: Preethi, V.M., Prabhakar, M.
    Conference: Lecture Notes in Electrical Engineering
    Year: 2023
    Citations: 1