Mohammad Divandari | Electronic Engineering | Best Researcher Award

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Assist. Prof. Dr. Mohammad Divandari | Electronic Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Divandari, Islamic Azad University, Iran

Assist. Prof. Dr. Mohammad Divandari is an Assistant Professor of Electrical Engineering/Control Systems at Islamic Azad University, Iran. He holds a Ph.D. in Electrical Engineering from Babol Noshirvani University (2019) with a thesis on switched reluctance motor drives. His research interests include electrical motor theory, control systems, and non-linear control. Dr. Divandari has extensive industry experience, having worked in JEMCO Company in various technical roles from 1998 to 2007. He is skilled in simulation, embedded systems, and electrical drive implementation. He is a member of IEEE and the Iranian Inventors Association. 🧑‍🏫🔧💡📚

 

Publication Profile

Orcid

Google Scholar

Educational Background

Assist. Prof. Dr. Mohammad Divandari earned his Ph.D. in Electrical Engineering from Babol Noshirvani University of Technology in 2019, focusing on the design and implementation of a switched reluctance motor drive with DSP-TMS320F28335, earning a high score of 19.75/20. He completed his M.Sc. in Control Systems at Islamic Azad University, Tehran, in 2003, where his thesis on fuzzy logic control of switched reluctance motors earned him a score of 19/20. Dr. Divandari also holds a B.Sc. in Electronic Engineering from Islamic Azad University, Sabzevar (1998), with a thesis on DC/AC converter design, scoring 18.5/20. 💡🔧📚

 

Professional Experience

Dr. Mohammad Divandari worked as an Electrical Engineer at JEMCO Company (Jovain Electrical Machines Industries Co.) from 1998 to 2007. His roles included installing and operating machinery (1998-1999), working in machinery adjustment committees with foreign experts (1999-2000), and serving as an expert in the technical documents center (2000-2001). He also contributed to the Research and Development (R&D) department (2001-2003) and later worked in sales engineering within the commercial units (2003-2007). His extensive experience helped shape his expertise in electrical systems and engineering solutions. ⚙️🔧🌍

 

Academic Experience

Dr. Mohammad Divandari has had extensive teaching experience in Electrical Engineering and Control Systems. From 2004 to 2019, he was a Lecturer at Islamic Azad University, Iran, where he taught a wide range of subjects, including Electronics, Electrical Machines, Control Systems, Power Electronics, and Pattern Recognition. He also conducted labs on Linear Control Systems, Non-linear Control, and Instrumentation. Since 2019, he has served as an Assistant Professor, continuing his impactful work in teaching and mentoring future engineers. His contributions significantly shape the next generation of electrical engineers. 📚⚡️

 

Software Expertise

Assist. Prof. Dr. Mohammad Divandari has extensive expertise in software tools for simulation and embedded systems. He is proficient in MATLAB/SIMULINK, PLECS, and ANSYS/Maxwell for FEM simulations. His experience extends to embedded systems, specifically with DSP TMS320F28335 using Code Composer Studio for C programming. Additionally, he has hands-on experience with Cadence SPB/OrCAD for Pspice and circuit analysis and Altium Designer for PCB design (two-layer, metalized). His skills in these advanced tools support his research and development in electrical engineering. 🖥️🔧📐

 

Honors and Award

In recognition of his innovative contributions, Assist. Prof. Dr. Mohammad Divandari received a patent in 2001–2002 for an automatic device designed to measure the pressure of automobile tires. This device is adjustable to optimize energy consumption in automobiles. The patent, registered under No. 013233 in Iran on March 13, 2006, showcases his commitment to advancing technology in the automotive and energy sectors. This achievement highlights his inventive approach to solving practical engineering challenges. 🚗🔧⚡

 

Research Focus

Assist. Prof. Dr. Mohammad Divandari’s research focuses on advanced control systems and optimization techniques for switched reluctance motor (SRM) drives, with a strong emphasis on fuzzy logic control to reduce torque ripple and acoustic noise. His work extends to sensorless motor drives, dynamic observers, and electromagnetic levitation systems. Additionally, Dr. Divandari explores brushless DC motors, power electronic systems, and micro-turbine control. His contributions have had significant impacts on energy efficiency, control systems, and motor design. 🌍🔌📉 His work is essential in the electrical engineering and control systems domains.

 

Publication Top Notes

  • Radial force and torque ripple optimization for acoustic noise reduction of SRM drives via fuzzy logic control (Cited by: 52, Year: 2010) ⚙️📉
  • Speed control of switched reluctance motor via fuzzy fast terminal sliding-mode control (Cited by: 44, Year: 2019) ⚡📊
  • A novel dynamic observer and torque ripple minimization via fuzzy logic for SRM drives (Cited by: 32, Year: 2009) 🔄🔧
  • Tooth profile modification and its effect on spur gear pair vibration in presence of localized tooth defect (Cited by: 27, Year: 2012) ⚙️🔍
  • A novel sensorless SRM drive via hybrid observer of current sliding mode and flux linkage (Cited by: 23, Year: 2007) 🚗🔩
  • Torque estimation of sensorless SRM drive using adaptive-fuzzy logic control (Cited by: 18, Year: 2016) 🧠⚙️
  • High performance SRM drive with hybrid observer and fuzzy logic torque ripple minimization (Cited by: 15, Year: 2007) 🔋🔧
  • Conversion of shaded-pole induction motor to switched reluctance motor and effects of pole shoe and notch on SRM noise (Cited by: 13, Year: 2013) 🔊🔩
  • Single phase application of space vector pulse width modulation for shunt active power filters (Cited by: 13, Year: 2007) ⚡🔌
  • Robust speed control of switched reluctance motor drive based on full order terminal sliding mode control (Cited by: 11, Year: 2020) ⚙️🛠
  • A novel control-rod drive mechanism via electromagnetic levitation in MNSR (Cited by: 10, Year: 2014) ⚡🔮
  • Sensorless drive for switched reluctance motor by adaptive hybrid sliding mode observer without chattering (Cited by: 9, Year: 2018) ⚙️🔧
  • Acoustic noise reduction of switched reluctance motor drives (Cited by: 7, Year: 2011) 🔇🔧
  • Improved analytical nonlinear model for switched reluctance motor using Gaussian distribution probability density function (Cited by: 6, Year: 2018) 🧠🔩
  • Minimizing torque ripple in a brushless DC motor with fuzzy logic: applied to control rod driving mechanism of MNSR (Cited by: 5, Year: 2015) ⚡🔧

 

HARPREET AASI | Engineering | Women Researcher Award

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HARPREET AASI | Engineering | Women Researcher Award

Dr HARPREET AASI, INDIAN INSTITUTE OF TECHNOLOGY BOMBAY, India

Dr. Harpreet Aasi is a Postdoctoral Fellow in Thermal Engineering at IIT Bombay (2024–present). He holds a Ph.D. in Thermal Engineering from IIT Roorkee (2014–2020), an M.Tech. from NIT Raipur, and a B.E. in Mechanical Engineering. His expertise lies in heat transfer enhancement, particularly using ultrasound in electronic cooling systems, involving both numerical (ANSYS Fluent) and experimental methods. A recipient of multiple awards, including the Silver Medal at NIT Raipur, Dr. Aasi has contributed to prestigious projects sponsored by CSIR and DST. He is also an active reviewer for high-impact journals and has published extensively in heat exchanger optimization. 📚💡

Publication Profile

Scopus

Education

Dr. Harpreet Aasi is a distinguished researcher specializing in thermal engineering. Currently, he is pursuing a Postdoctoral Fellowship at the Indian Institute of Technology Bombay (March 2024 – present). He earned his Ph.D. with honors in Thermal Engineering from IIT Roorkee (2014-2020) and completed an M.Tech. in Thermal Engineering with an impressive CPI of 8.96/10 at NIT Raipur (2011-2013). His academic journey began with a B.E. in Mechanical Engineering from New Government Engineering College Raipur, achieving a stellar CPI of 8.99/10 (2006-2010). Dr. Aasi’s dedication to academics is reflected in his strong foundations, scoring 76% in Intermediate (2005-2006) and 85% in Matriculation (2003-2004). 📚✨

Experience

Dr. Aasi conducted numerical (Ansys Fluent) and experimental studies (non-intrusive optical techniques) on single-phase and two-phase flow boiling processes for electronic cooling systems. This research explored the effect of ultrasound parameters, demonstrating its potential for enhancing heat transfer. Ph.D. Research: Investigations on Three-fluid Compact Plate-fin Heat Exchanger 🌡️📊 Dr. Aasi performed extensive experimental and numerical investigations (MATLAB coding) under transient and steady states, addressing flow maldistribution, inlet temperature non-uniformity, and ambient heat interaction. Innovative modeling optimized geometrical attributes for diverse plate-fin types. M.Sc. Research: Parametric Study of Orthotropic Annular Fin with Contact Resistance 🌀🛠️ Dr. Aasi developed a 2D dimensionless steady-state model to assess the thermal performance of orthotropic annular fins, focusing on polymer matrix composites with axis-dependent properties.

Award and Scholarships

Dr. Harpreet Aasi has an impressive academic record, including a Silver Medal at the National Institute of Technology (NIT) Raipur in 2012-2013 🥈. He received the Academic Excellence Award at NIT Raipur in 2011-2012 🎓. Ranked 10th in the Chhattisgarh Swami Vivekanand Technical University state toppers list, he was 1st in New Government Engineering College Raipur in 2010 🏆. Dr. Aasi secured prestigious fellowships, including the Institute Postdoctoral Fellowship at IIT Bombay in 2024 🧑‍🔬 and MHRD scholarships for his Ph.D. (2014-2019) and M.Tech. (2011-2013) 📚. Additionally, he earned state-level merit scholarships during his B.E. studies (2007-2010) 🏅.

Project contribution

Dr. Harpreet Aasi has conducted groundbreaking research on optimizing the performance of three-fluid heat exchangers through both numerical and experimental investigations. Sponsored by CSIR, this research aims to improve heat transfer efficiency and system performance. Additionally, his study on the effect of temperature and flow nonuniformities on three-fluid compact heat exchangers, sponsored by DST, delves into understanding how such factors influence overall efficiency. These contributions are crucial in advancing thermal management systems, with potential applications in various industries, from energy to manufacturing. 🌡️🔧

Research focus

Dr. Harpreet Aasi’s research primarily focuses on the thermo-hydraulic performance and optimization of multi-fluid heat exchangers, particularly three-fluid systems. His work investigates the effects of flow non-uniformity, ambient heat ingression, and temperature nonuniformity on the efficiency and dynamic behavior of cross-flow and plate-fin heat exchangers. Using advanced techniques like Artificial Neural Networks (ANN) and second law analysis, he aims to improve heat exchanger designs for enhanced thermal management in various engineering applications. His research is crucial for energy efficiency and thermal optimization in industries such as cryogenics, power generation, and heat recovery. 🔥🔧⚙️💡

Publication top notes

Investigation on cross-flow three-fluid compact heat exchanger under flow non-uniformity: an experimental study with ANN prediction

The impact of ambient heat ingression on performance of cryogenic three-fluid cross-flow compact heat exchanger

Experimental investigation and ANN modelling on thermo-hydraulic efficacy of cross-flow three-fluid plate-fin heat exchanger

Detailed design optimization of three-fluid parallel-flow plate-fin heat exchanger using second law analysis

Influence of flow non-uniformity on the dynamic behaviour of three-fluid cross-flow compact heat exchanger

A novel equivalence approximate model for second law based optimization of three-fluid cross-flow plate-fin heat exchanger using genetic algorithm

 

Benkun Tan | Engineering | Best Researcher Award

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Benkun Tan | Engineering | Best Researcher Award

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

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

Publication profile

Orcid

Education 

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

Research focus 

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

Publication top notes

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

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

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

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

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

Conclusion 

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

 

 

Suganya. R | Engineering | Best Researcher Award

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Dr. R. Suganya| Engineering | Best Researcher Award

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

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

Publication Profile

Google Scholar

Educational Background 

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

Professional Experiences

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

Research Interests and Contributions

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

Awards and Achievements  

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

Conclusion

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

Publication Top Notes

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

 

Mehrdad ghamari | Engineering Award | Best Researcher Award

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Mr. Mehrdad ghamari | Engineering Award | Best Researcher Award

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

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

 

Publication Profile

Google Scholar

Education

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

Research Experience & Interests

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

Academic Experience

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

Work Experience

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

Conclusion

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

Publication Top Notes

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

 

 

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

 

Kilhun Lee | Engineering | Women Researcher Award

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Prof. Dr. Kilhun Lee | Engineering | Women Researcher Award

Prof. Dr. Kilhun Lee, University of Seoul, South Korea

Assistant Professor of Architecture at the University of Seoul, Kilhun Lee specializes in urban history and architecture history. She earned her Ph.D. and Master’s degree from the University of Tokyo. Before joining UOS in 2024, she held positions at Duksung Women’s University and the Institute of Seoul Studies. Her research focuses on urban regeneration and the conservation of industrial heritage, with numerous publications on architectural history, including comparisons of urban planning during Japanese colonial rule. Kilhun is a member of several professional associations, including the Architectural Institute of Korea and the Society of Architectural Historians of Japan. 📚🏙️

Publication Profile

Scopus

Research Interests and Contributions

Kilhun Lee is currently an Assistant Professor at the University of Seoul, where she has developed a robust research profile in urban history and architecture. Her doctoral work at the University of Tokyo provided her with a strong foundation in architectural studies, which she has further enriched through various academic appointments. Her research is particularly relevant to the award’s criteria as it addresses themes of urban regeneration and the conservation of industrial heritage, highlighting her commitment to historical and contemporary issues in architecture.

Awards and Recognition

Kilhun Lee’s work has been recognized through various awards and grants, including the Korea Research Foundation’s General Research Program. Her accolades, such as the Simwon Architectural Award for Academic Researchers, signify her impact in the field and her potential as a role model for women researchers in architecture and urban studies.

Educational Impact

Professor Lee is involved in teaching undergraduate courses related to architectural history, contributing to the education of future generations in a male-dominated field. Her role as an educator aligns with the goals of the Research for Women Researcher Award, which seeks to promote women’s contributions to research and academia

Conclusion

Professor Kilhun Lee’s extensive background in architecture, her focus on significant urban issues, her notable publication record, and her commitment to education make her an exemplary candidate for the Research for Women Researcher Award. Her work embodies the values and objectives of the award, aiming to advance the recognition of women researchers and their contributions to the field.

Publication Top Notes  

  • “Building the Governance to Conserve and Utilize Industrial Heritage in East Asia: The Cases of Japan and Taiwan” – Lee, K. (2024) 📅
  • “A Comparison of Urban Planning in Eastern Asian Capitals during Japanese Colonial Rule: Tokyo, Taipei (1895), Seoul (1910), and Beijing (1936)” – Lee, K., Yang, S. (2023) 📅 Citations: 2
  • “Planning and Construction of the Post-Liberation Capital City of Seoul (1945–1950): A Focus on Planning and the Removal of Firebreaks” – Taeyoon, K., Kilhun, L. (2022) 📅
  • “Stream Network of Hanyang, a City of Water” – Lee, K., Yang, S. (2022) 📅
  • “Urban Planning Seen Through the Process of Establishing Substitute Land in the Edo Period” – Lee, K. (2018) 📅

 

 

Ayalew Mekuria | Engineering | Excellence in Research

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Ayalew Mekuria | Engineering | Excellence in Research

Mr Ayalew Mekuria, Dilla University, Ethiopia

Mr. Ayalew Mekuria appears to be a suitable candidate for the Research for Excellence in Research program. Here’s an assessment of his profile:

Publication profile

orcid

Education

  • MSc. in Chemical Engineering (Process Engineering) from Dire Dawa University (2020/2022)
  • BSc. in Chemical Engineering (Food Engineering) from Debre Berhan University (2014/2018)
  • HDP (Higher Diploma Program) from Dilla University (2018/2019)

Mr. Mekuria’s educational background in chemical engineering, particularly in process and food engineering, lays a strong foundation for his research capabilities. His master’s degree equips him with advanced knowledge and skills necessary for conducting high-quality research.

Work Experience

  • Lecturer at Dilla University (2018 – Current): His responsibilities include teaching, mentoring, and research advising, indicating strong communication and leadership skills. This role also allows him to stay current with academic research trends.
  • Training Facilitator at Dereja Academy: His role as a trainer in employability skills demonstrates his commitment to enhancing students’ practical skills and readiness for the job market. This experience shows his ability to engage with industry professionals, which is essential for research applications.
  • Internship Coordinator (2022 – 2024): This position requires excellent organizational skills and the ability to liaise with various stakeholders, including companies and students. Such experience is valuable in coordinating research projects and understanding industry needs.
  • Exam Review Committee and Exit Exam Coordinator (2022 – 2023): These responsibilities involve oversight of academic standards, further showcasing his leadership and evaluative skills, critical for maintaining research integrity.

Internship Experience

  • Internship at Habesha Brewery S.C. (Oct 2015 – Jan 2016): Practical experience in the brewery industry complements his academic knowledge, providing real-world insights into chemical engineering applications.

Certifications

Mr. Mekuria’s various certifications, including:

  • Dereja Academy Accelerator Program (DAAP)
  • Employability Skill and Job Readiness Training
  • Project Management Essentials
  • Certified Professional Teacher Educator

These certifications highlight his commitment to continuous learning and development, essential traits for a researcher.

Publications

  • Publication on the development, characterization, and optimization of sulfated fat liquor from fleshing tannery solid waste in Cogent Food & Agriculture (2024). This publication demonstrates his active engagement in research and contributes to the field of food engineering and sustainability.

Conclusion

Mr. Ayalew Mekuria’s educational background, extensive work experience, practical internships, and commitment to continuous professional development position him as a strong candidate for the Research for Excellence in Research program. His ability to integrate theoretical knowledge with practical applications, alongside his active participation in research and community service, underscores his potential to contribute significantly to the research community.

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

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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 ❄️🧊

Raffaele Iervolino | Engineering | Best Researcher Award

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Prof. Raffaele Iervolino | Engineering | Best Researcher Award

Prof. Raffaele Iervolino, University of Naples Federico II, Italy

Prof. Raffaele Iervolino is an esteemed Associate Professor of Automatic Control at the University of Naples Federico II, specializing in control systems analysis and design. Born in 1971 in Milan, Italy, he earned his M.S. in Aerospace Engineering in 1996 and a PhD in Computer and Automation Engineering in 2002. Raffaele has collaborated on numerous national and European research projects and has authored over 60 publications. His research interests include stability analysis of piecewise linear systems, reinforcement learning, and resource allocation problems. He is a Senior Member of the IEEE Control System Society. 📚✈️🔧

 

Publication profile

Google Scholar

Educational Background

Prof. Raffaele Iervolino holds a Research Doctorate degree from the University of Naples Federico II, obtained in March 2002. His academic journey began with a Research Doctorate in Computer and Automatic Engineering at the same university, specializing in Control and Systems Engineering from 1998 to 2001. He earned his Professional Engineer certificate in November 1996, further demonstrating his expertise. Prof. Iervolino completed his Laurea degree in Aerospace Engineering, graduating summa cum laude in June 1996 from the University of Naples Federico II, showcasing his exceptional academic achievements and commitment to engineering excellence. ✈️

 

Employment 🏫

Prof. Raffaele Iervolino currently serves as an Associate Professor of Automatic Control at the Faculty of Engineering, University of Naples Federico II, since 2024. Previously, he held the position of Assistant Professor of Automatic Control at the same university from 2003 to 2024. Beyond academia, he is a scientific consultant specializing in control system analysis and design for several organizations, including the academic spin-off Megaride (2018-present) and the electronics company Megaris (2015-present). He has also contributed to the CREATE Consortium (2002-present) and was a consultant for the FIAT Research Center from 1999 to 2004. 🔧

 

Teaching Activity 📚

Prof. Raffaele Iervolino has made significant contributions to education through various academic courses. Since 2019, he has taught the Control Lab for the M.S. in Robotics and Automation Engineering at the University of Naples. Additionally, he has been instructing Systems Theory for the B.S. in Electronic Engineering at the Italian Air Force Academy since 2017. From 2011 to 2013, he taught Automation Technologies in the B.S. Computer Science Engineering program at the University of Naples. He also offered the course Fundamentals of Dynamic Systems for Biomedical Engineering from 2003 to 2022. In June 2018, he conducted a seminar on “A Consensus Policy and Piecewise Quadratic Stability for Heterogeneous Opinion Dynamics” at the University of Groningen, Netherlands. 🎓

 

Research Contributions

He has authored over 60 publications, including journal papers, conference papers, and book chapters. His work covers crucial areas such as stability analysis of piecewise linear systems, opinion dynamics, and reinforcement learning, contributing to advancements in automatic control and engineering.

Publication Top Notes

  • Lyapunov stability for piecewise affine systems via cone-copositivity 📄 – Citations: 53, Year: 2017
  • Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges 🚀 – Citations: 47, Year: 2022
  • Primary frequency response improvement in interconnected power systems using electric vehicle virtual power plants ⚡ – Citations: 40, Year: 2020
  • Category II pilot in-the-loop oscillations analysis from robust stability methods ✈️ – Citations: 39, Year: 2001
  • Cone-copositive piecewise quadratic Lyapunov functions for conewise linear systems 🔍 – Citations: 37, Year: 2015
  • Approximate dynamic programming for stochastic resource allocation problems 📊 – Citations: 36, Year: 2020
  • Analysis of pilot-in-the-loop oscillations due to position and rate saturations ⚙️ – Citations: 34, Year: 2000
  • Practical consensus in bounded confidence opinion dynamics 🤝 – Citations: 27, Year: 2021
  • mu synthesis for a small commercial aircraft: Design and simulator validation ✈️ – Citations: 27, Year: 2004
  • A wearable device for sport performance analysis and monitoring 🏋️ – Citations: 26, Year: 2017


Conclusion

Prof. Raffaele Iervolino’s impressive educational credentials, extensive research contributions, active participation in significant projects, and commitment to teaching make him an outstanding candidate for the Best Researcher Award. His work not only advances knowledge in automatic control but also has practical implications across various industries.