Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

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

Professor at Cukurova University, Turkey

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

Publication Profile

Google Scholar

Academic Background

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

Professional Background

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

Awards and Honors

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

Research Focus

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

Publication Top Notes

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

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

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

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

Conclusion

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

 

 

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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Assist. Prof. Dr. Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

Assist. Prof. Dr. MojtabaHajiabadi at University of Birjand, Iran

Dr. Mojtaba Hajiabadi is an Assistant Professor in the Communication Engineering Group at the University of Birjand, Iran. With expertise in 6G, wireless communications, adaptive filtering, and machine learning, he has significantly contributed to signal processing and telecommunications. He has served as a visiting researcher at KU Leuven, Belgium, and actively reviews for esteemed journals like IEEE Transactions on Signal Processing. His research includes developing advanced wireless systems, adaptive beamforming, and noise cancellation technologies. With numerous publications, patents, and projects, he remains a leading figure in next-generation communication technologies.

Publication Profile

Google Scholar

Academic Background🎓

Dr. Hajiabadi obtained his Ph.D. in Communication Engineering from Ferdowsi University of Mashhad in 2018, following an M.Sc. from the same institution in 2014 and a B.Sc. from the University of Birjand in 2012. His exceptional academic journey began at the National Organization for Development of Exceptional Talents (NODET). In 2019, he further enhanced his expertise as a Visiting Researcher at KU Leuven, Belgium, working on cutting-edge wireless technologies. His education has laid a strong foundation for his research in wireless communications, adaptive systems, and machine learning-based signal processing.

Professional Background💼

Dr. Hajiabadi has diverse academic and industrial experience, including research and teaching at KU Leuven, Ferdowsi University of Mashhad, and the University of Birjand. His professional roles extend to the Iranian Air Force, Telecommunication Infrastructure Company, and KavirTire Corporation. He has led projects on satellite signal processing, carrier synchronization, and military-grade noise cancellation. His hands-on work with software-defined radios (SDR) and real-world signal applications has made him a key contributor to modern telecommunication advancements, bridging theoretical research with practical implementations.

Awards and Honors🏆

Dr. Hajiabadi has been recognized for his outstanding contributions to communication engineering through multiple awards and distinctions. His work has been featured in leading IEEE journals and conferences, reflecting its high impact. He has received research funding for pioneering studies in adaptive filtering and 6G communications. His role as a reviewer for IEEE Transactions and other esteemed journals highlights his credibility in the research community. Additionally, his patents in noise cancellation circuits for military aircraft showcase his practical innovations in engineering.

Research Focus🔬

Dr. Hajiabadi specializes in 6G wireless communication, adaptive filters, beamforming, noise cancellation, and machine learning applications in signal processing. His research emphasizes optimizing wireless networks using intelligent systems, including channel estimation, equalizers, and interference suppression. His work extends to satellite communication, reconfigurable intelligent surfaces, and AI-driven adaptive systems, addressing real-world challenges in next-generation telecommunications. With a strong emphasis on both theoretical advancements and hardware implementation, his contributions shape the future of wireless connectivity and intelligent communication networks.

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

      Year: 2017 🗓 | Cited by: 36 📑 | IEEE Transactions on Circuits and Systems II: Express Briefs

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

      Year: 2017 🗓 | Cited by: 19 📑 | International Journal of Adaptive Control and Signal Processing

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

      Year: 2017 🗓 | Cited by: 15 📑 | IET Signal Processing

🔹 Distributed Adaptive LMF Algorithm for Sparse Parameter Estimation in Gaussian Mixture Noise

      Year: 2014 🗓 | Cited by: 14 📑 | 7th International Symposium on Telecommunications (IST’2014)

Conclusion

Dr. Mojtaba Hajiabadi is a distinguished researcher in communication engineering, specializing in 6G, wireless communication, adaptive filters, and AI-driven signal processing. With a Ph.D. from Ferdowsi University of Mashhad and research experience at KU Leuven, he has made significant contributions through high-impact publications in IEEE Transactions and other prestigious journals. His innovative work includes a patent on acoustic noise cancellation and collaborations on satellite signal detection and defense applications. As a dedicated educator and mentor, he shapes future researchers while actively reviewing for top academic journals. His international exposure, industry collaborations, and academic excellence make him a strong candidate for the Best Researcher Award.

 

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 🌱

 

 

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

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

 

Guglielmo Vaccaro | Engineering | Best Researcher Award

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Mr. Guglielmo Vaccaro | Engineering | Best Researcher Award

Mr. Guglielmo Vaccaro, Università degli studi di Firenze, Italy

Guglielmo Vaccaro (born June 18, 1997, in Florence) is a dedicated researcher in mechanical and energy engineering. He holds a Bachelor’s in Mechanical Engineering and a Master’s in Energy Engineering from the University of Florence, both achieved with honors. Currently pursuing a Ph.D. in Industrial Engineering, his research focuses on eco-friendly refrigeration systems and CO2-based mixtures. He has presented at multiple international conferences and published in peer-reviewed journals. Guglielmo has also collaborated with CNAM in Paris on chiller systems. He is proficient in several software tools, including Matlab and Python. Fluent in Italian and English. 🇮🇹🔬💡

 

Publication profile

Google Scholar

Education

Bachelor’s Degree in Mechanical Engineering from the University of Florence, graduated with honors (110/110 cum laude). His thesis focused on optimizing a convergent-divergent nozzle, showcasing his attention to detail in technical design.

Master’s Degree in Energy Engineering (Machines Track) from the University of Florence, also graduated with honors. His thesis was centered on the design of an ejector for recovering lamination losses in a CO2-based plant, which highlights his commitment to sustainable technologies.

Ph.D. in Industrial Engineering, currently ongoing at the University of Florence, focusing on eco-friendly refrigeration systems, particularly on developing refrigeration plants using eco-compatible mixtures, which underlines his dedication to cutting-edge research in environmental sustainability.

Research

Presented research at prominent conferences, such as the International Congress of Refrigeration, covering topics like CO2-based mixtures for refrigeration and ice storage systems.

Published articles in renowned journals, including the International Journal of Refrigeration, where he assessed the thermodynamic performance of trans-critical refrigeration systems utilizing CO2 mixtures. His work extends into sustainable energy communities and low-TEWI refrigerants, indicating his focus on advancing energy-efficient and environmentally safe solutions.

Conclusion

Guglielmo Vaccaro’s combination of academic excellence, innovative research on eco-compatible refrigeration systems, and international collaborations makes him a strong contender for the Best Researcher Award. His focus on environmental sustainability through advanced refrigeration technologies aligns with the goals of pushing the boundaries in energy efficiency and renewable energy systems.

 

Publication Top Notes

  • Thermodynamic assessment of trans-critical refrigeration systems utilizing CO2-based mixtures | Cited by: 23 | Year: 2023 🔬❄️
  • Heat pumps and thermal energy storages centralised management in a Renewable Energy Community | Cited by: 8 | Year: 2023 ♻️🌍
  • A proposal for a non-flammable, fluorine-free, CO2-based mixture as a low TEWI refrigerant | Cited by: 5 | Year: 2024 💧🔋
  • Working Fluid Selection for High-Temperature Heat Pumps: A Comprehensive Evaluation | Cited by: 3 | Year: 2024 🔥🔧
  • Optimal sizing of a distributed energy system with thermal load electrification | Cited by: 2 | Year: 2020 ⚡📏
  • Propylene and DME solubility in PAG oil: Experimental investigations and simplified modeling | Cited by: 1 | Year: 2024 📊🧪
  • Experimental investigations and modeling of Propylene and DME solubility in PAG oil | Cited by: 1 | Year: 2023 🔍📈
  • Numerical assessment of CO2-based mixtures for refrigeration systems: focus on the evaporation process  Year: 2023 🌬️💨
  • Development of a code for the evaluation of air sanitation efficiency of UV-C linear lamps in ventilation systems Year: 2022 💡🌬️
  • Thermodynamic analysis of a steam ejector chiller with ice storage  Year: 2022 ❄️🧊

Mohammad Hejri | Engineering | Best Researcher Award

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Dr. Mohammad Hejri | Engineering | Best Researcher Award

Associate Professor at Sahand University of Technology ,Iran

Dr. Mohammad Hejri is an Associate Professor in the Department of Electrical Engineering at Sahand University of Technology in Tabriz, Iran. He holds a Ph.D. in Electrical Engineering from Sharif University of Technology and the University of Cagliari, achieving a distinguished GPA of 17.37/20. Dr. Hejri has received numerous accolades, including the International Young Scientist Awards and recognition as the top candidate for a postdoctoral research position at KTH Royal Institute of Technology. His research focuses on the modeling and control of power electronics converters, reflected in his extensive publication record in reputable journals. Dr. Hejri has also contributed to academia through various teaching positions and reviewing activities for prestigious journals, showcasing his commitment to education and the advancement of electrical engineering.

Publication profile

Scopus Profile

Educational Background

Mohammad Hejri has a robust educational background in Electrical Engineering, highlighted by his double doctoral degree obtained from Sharif University of Technology in Tehran, Iran, and the University of Cagliari in Italy between 2005 and 2010. He achieved a commendable GPA of 17.37/20 for his Ph.D. studies, focusing on Hybrid Modeling and Control of Power Electronics Converters. Prior to his doctoral studies, he earned his Master’s degree in Electrical Engineering from Sharif University of Technology with an impressive GPA of 17.72/20. He completed his Bachelor’s degree in Electrical Engineering at Tabriz University, where he ranked 2nd among 140 students in his program with a GPA of 16.97/20. His academic excellence is further underscored by his top rankings in various entrance examinations throughout his educational journey.

Teaching and Research Experience

Mohammad Hejri is an accomplished academic with extensive teaching and research experience in Electrical Engineering. He has served as an Associate Professor at Sahand University of Technology since 2012, where he has taught undergraduate and graduate courses, including Electrical and Electronic Measurement, Optimization Fundamentals, and Power Electronics. Hejri has also been involved in curriculum development and has acted as a teaching assistant for various laboratory courses during his early career. His research, primarily focused on power electronics, control systems, and renewable energy integration, has resulted in numerous publications in prestigious journals and conference proceedings. Hejri’s dual Ph.D. in Electrical Engineering and Electronic and Computer Engineering reflects his commitment to advancing knowledge in his field, and his contributions have earned him recognition as a leading researcher. Additionally, he has engaged in various international research projects, further enhancing his expertise and fostering collaboration in the global scientific community.

Publication Top Notes

  • Title: Global Practical Stabilization of Discrete-time Switched Affine Systems: Application to Switching Power Converters
    Authors: Hejri, M.
    Year: 2021
    Citations: 3
  • Title: Global Practical Stabilization of Discrete-time Switched Affine Systems via Switched Lyapunov Functions and State-Dependent Switching Functions
    Authors: Hejri, M.
    Year: 2021
    Citations: 3
  • Title: Correction to ‘Global Practical Stabilization of Discrete-time Switched Affine Systems via a General Quadratic Lyapunov Function and a Decentralized Ellipsoid’
    Authors: Hejri, M.
    Year: 2022
    Citations: 2
  • Title: On the Well-Posedness, Equivalency, and Low-Complexity Translation Techniques of Discrete-time Hybrid Automaton and Piecewise Affine Systems
    Authors: Hejri, M., Mokhtari, H.
    Year: 2022
    Citations: 1
  • Title: Cascade Control System Design and Stability Analysis for a DC–DC Boost Converter with Proportional Integral and Sliding Mode Controllers and Using Singular Perturbation Theory
    Authors: Azarastemal, S., Hejri, M.
    Year: 2021
    Citations: 8

Conclusion

Mohammad Hejri is a highly qualified candidate for the Best Researcher Award, demonstrating exceptional academic performance, significant research contributions, and a commitment to teaching and mentorship. His recognition in the academic community, coupled with his extensive publication record, highlights his impact in the field of electrical engineering, particularly in power electronics and control systems.

Alok Jain | Engineering | Best Researcher Award

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Dr. Alok Jain | Engineering | Best Researcher Award

Assistant Professor, Pandit Deendayal Energy University, Gandhinagar, Gujarat India

Dr. Alok Jain is an exceptional candidate for the Best Researcher Award, showcasing a robust educational background with a Ph.D. in Power Systems from IIT BHU, where he achieved a perfect CGPA. His research focuses on smart metering and power quality enhancement, leading to numerous publications in prestigious journals, emphasizing his commitment to advancing Electrical and Electronics Engineering. With diverse teaching experience as an Assistant Professor and significant involvement in professional organizations like IEEE, Dr. Jain demonstrates strong leadership and mentorship abilities. His practical experience in power systems, coupled with his role as a reviewer for international conferences, underscores his influence in the field. Dr. Jain’s innovative research contributions and dedication to professional growth make him an exemplary candidate for this award, reflecting his passion for learning and his impact on the engineering community.

Profile:

Education

Dr. Alok Jain holds a distinguished academic record, having earned a Ph.D. in Power Systems from the Indian Institute of Technology (IIT) BHU, Varanasi, where he achieved an exceptional CGPA of 10.00. Prior to his doctoral studies, he completed his Master of Engineering (M.E.) in Power Systems and Electric Drives at Thapar University, Patiala, securing a CGPA of 8.73. His foundational education includes a Bachelor of Technology (B.Tech) in Electrical and Electronics Engineering from UPTU, India, graduating with honors and a percentage of 76.82%. Additionally, Dr. Jain has pursued various technical certifications, including proficiency in Microsoft Office and successful completion of the GATE exam with a remarkable score of 94%. This strong educational background equips him with both theoretical knowledge and practical skills essential for advancing research in the field of electrical engineering.

Professional Experiences

Dr. Alok Jain is currently an Assistant Professor at PDPU, Gandhinagar, Gujarat, where he applies his extensive knowledge in Electrical and Electronics Engineering. Previously, he taught at the I.E.C. Group of Institutions in Greater Noida, specializing in subjects such as Power System Analysis and SCADA systems. His experience also includes serving as an External Expert for practical examinations at Guru Gobind Singh Indraprastha University and evaluating exam papers for various institutions affiliated with UPTU. Additionally, Dr. Jain has a strong industry background, having worked as a Graduate Engineer Trainee at BSES Yamuna Power Limited, where he focused on meter installations and quality assurance. His tenure as a Project Assistant at the CSIR-Central Road Research Institute further underscores his research capabilities. With a blend of academic and practical experience, Dr. Jain has successfully guided numerous students in their research projects, fostering the next generation of engineers.

Research Skills

The candidate possesses a robust array of research skills that significantly enhance their contributions to the field of Electrical and Electronics Engineering. Their expertise in advanced methodologies, including smart metering and power quality assessment, enables them to effectively tackle complex engineering challenges. Proficient in engineering software such as MATLAB, Simulink, and SCADA, they are adept at modeling and simulating power systems, which is crucial for developing innovative solutions. Their analytical skills are complemented by a strong foundation in programming languages like C and C++, allowing for the development of custom algorithms for energy management systems. Furthermore, their experience in conducting research projects, mentoring students, and publishing in peer-reviewed journals demonstrates their ability to communicate complex ideas clearly and collaborate effectively. Overall, these research skills position the candidate as a valuable asset in advancing knowledge and technology within their field.

 

Award And Recognition

Dr. Alok Jain is a distinguished researcher in the field of Electrical and Electronics Engineering, holding a Ph.D. in Power Systems from IIT BHU. With a commendable academic record and extensive teaching experience, he has contributed significantly to the advancement of smart grid technologies and power quality enhancement. His research, including publications in high-impact journals and presentations at international conferences, reflects his commitment to innovation and excellence. Dr. Jain’s work on smart metering and renewable energy systems has garnered recognition, highlighting his expertise and influence within the engineering community. As an active member of IEEE and a reviewer for prestigious conferences, he plays a vital role in fostering knowledge and collaboration in his field. His dedication to research and education positions him as a leading figure in Electrical Engineering, making him a worthy recipient of the Best Researcher Award.

 

Conclusion

The candidate exemplifies the qualities of an exceptional researcher, making them highly deserving of the Best Researcher Award. Their academic journey, marked by a Ph.D. in Power Systems from IIT BHU and a strong record of performance in their studies, reflects a deep commitment to the field of Electrical and Electronics Engineering. The candidate’s significant research contributions, particularly in smart metering and power quality enhancement, address critical challenges in contemporary energy systems. Their extensive experience as an Assistant Professor and active participation in professional organizations, such as IEEE, highlight their leadership and dedication to fostering innovation. Furthermore, their impressive publication record in high-impact journals demonstrates their influence and commitment to advancing knowledge within the field. Collectively, these attributes underscore their potential to make substantial contributions to electrical engineering, warranting recognition as a leading researcher in their discipline.

 

Publication Top Notes

  1. Monitoring, Control, and Protection of Radial Distribution Networks by Using a Two‐Level Control Architecture
  2. A State-of-the-Art on Power Quality Enhancement Techniques: Present Scenario and Future Challenges
  3. Improvement of the Dynamic Performance of an Islanded DC Microgrid Using Optimized Virtual Inertia
  4. Operation of DC Drive by Solar Panel Using Maximum Power Point Tracking Technique
  5. Optimal Scheduling of an Islanded Microgrid with Complex Impedances Considering Load Demand and Renewable Power Uncertainties
  6. A Communication-assisted Scheme in Radial Distribution Systems Using Phasor Measurement Units
  7. Micro-phasor Measurement Units (μPMUs) and Its Applications in Smart Distribution Systems
  8. Implementation Techniques for Frequency Phasor Estimation in Phasor Measurement Units (PMUs)
  9. Analysis of Effectiveness of SSSC in Transmission Network Using PI Controlled Technique
  10. Changes & Challenges in Smart Grid Towards Smarter Grid
  11. Implementation of Automatic Meter Reading Technique Using SYNC 2000 & SYNC 5000 in Indian Power System
  12. Performance of Hybrid Wind-Microturbine Generation System in Isolated Mode

 

 

 

En-Feng Deng | Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. En-Feng Deng | Engineering | Best Researcher Award

Zhengzhou University, School of Civil Engineering, China

🌟 Prof. En-Feng Deng is a distinguished scholar from Zhengzhou University, serving as a doctoral supervisor. A young talent recognized under the Henan Province Young Talent Lifting Project, Prof. Deng is also a key backbone teacher at Zhengzhou University. His expertise lies in the development of modular steel constructions, and he has made significant contributions through his leadership in various national and provincial research projects. Prof. Deng has authored over 50 SCI/EI papers, showcasing his dedication to advancing the field.

Publication Profile

ORCID

Strengths for the Award

  • Significant Contributions: Prof. En-Feng Deng has made substantial contributions to the field of modular steel construction, particularly in developing and improving innovative connections and structural designs. His research focuses on seismic performance, shear behavior, and flexural behavior in modular constructions, which are critical in advancing the safety and efficiency of modern buildings.
  • Extensive Publications: With over 50 SCI/EI papers published as the first or corresponding author, Prof. Deng has established himself as a prolific researcher. His work is well-recognized in high-impact journals, demonstrating the quality and relevance of his research.
  • Leadership in Research Projects: Prof. Deng has successfully led several prestigious research projects, including two funded by the National Natural Science Foundation of China and others supported by the Henan Province and the China Postdoctoral Science Foundation. This highlights his capability in securing funding and managing large-scale research initiatives.
  • Awards and Recognition: Prof. Deng’s research excellence is further evidenced by the POSCO-KSSC Award, recognizing his contributions to steel structures, and his inclusion in the young talent lifting project of Henan Province.
  • Mentorship: As a doctoral supervisor, Prof. Deng plays a crucial role in mentoring the next generation of researchers, further amplifying his impact in the academic community.

Areas for Improvement

  • Broader Impact and Collaboration: While Prof. Deng has demonstrated significant expertise in modular steel constructions, expanding his research to include interdisciplinary collaborations could enhance the broader impact of his work. Engaging in projects that address global challenges or collaborating with international researchers may further elevate his profile.
  • Innovation and Industry Application: Although Prof. Deng’s work is innovative, translating his research findings into practical applications in the construction industry could strengthen his candidacy for the award. Developing partnerships with industry stakeholders to implement and commercialize his research could be a valuable next step.
  • Visibility and Outreach: Increasing visibility through more conference presentations, keynote speeches, and participation in global forums could enhance Prof. Deng’s recognition as a leading researcher. Outreach efforts, such as engaging with policy makers or contributing to public discourse on sustainable construction, could also be beneficial.

 

Education

🎓 Educational Background: Prof. En-Feng Deng has a solid academic foundation, having earned his doctorate, which paved the way for his research and teaching career at Zhengzhou University. His academic journey has been marked by continuous learning and exploration in the field of civil engineering, particularly in modular steel constructions.

Experience

🔧 Professional Experience: Prof. Deng is a respected faculty member at Zhengzhou University, where he supervises doctoral students and leads critical research projects. His work has been instrumental in advancing modular steel construction techniques, and he has successfully led multiple projects funded by national and provincial science foundations, as well as postdoctoral foundations in China.

Research Focus

🔍 Research Focus: Prof. Deng’s research primarily revolves around the development and optimization of modular steel constructions. His innovative work includes investigating the seismic and shear behavior of modular steel connections, as well as the design and performance of prefabricated components in steel structures. His research has contributed to the safer and more efficient design of steel structures in modern construction.

Awards and Honors

🏆 Awards and Honors: Prof. Deng has been recognized with numerous awards, including the prestigious POSCO-KSSC Award from the Korean Steel Structure Association for the best paper. He has also been honored as part of the Henan Province Young Talent Lifting Project, underscoring his impact and contributions to the field of civil engineering.

Publication Top Notes

📚 Publication Highlights:

Deng EF, Wang YH, Zong L, Zhang Z, Zhang JF. (2024). Seismic behavior of a novel liftable connection for modular steel buildings: Experimental and numerical studies. Thin-Walled Structures, 197: 111563. Cited by 15

Deng EF, Du YP, Lian JY, Zhang Z, Qian H, Zhang JF, Liu CZ. (2024). Shear behavior of the fully prefabricated liftable connection for modular steel construction. Journal of Building Engineering, 92: 109793. Cited by 10

Deng EF, Wu ST, Qian H, He JM, Zhang JF, Yu HX. (2024). Seismic performance and design of an innovative dual vertical diaphragms joint between flat CFST column and H-beam. Journal of Building Engineering, 87: 108945. Cited by 8

Deng EF, Yang YM, Tian Y, Zhang Z, Wang YB, Wei JZ, Dong SL. (2024). Flexural behavior of laminated H-beams in modular constructions: Numerical and analytical studies. Structures, 66: 106891. Cited by 5

Deng EF, Lian JY, Zhang Z, Qian H, Zhang GC, Zhang P, Sheikh SA. (2023). Axial mechanical behavior of an innovative liftable connection for modular steel construction. Thin-Walled Structures, 182: 110256. Cited by 12

Conclusion

Prof. En-Feng Deng is a strong candidate for the Best Researcher Award, given his impressive academic achievements, leadership in research projects, and contributions to modular steel construction. His prolific publication record and recognized expertise in the field position him as a deserving recipient. However, further expanding his research’s interdisciplinary impact, industry application, and global visibility could enhance his candidacy even more.