Morteza Jalali Alenjareghi | Engineering | Best Researcher Award

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Mr. Morteza Jalali Alenjareghi | Engineering | Best Researcher Award

Mr. Morteza Jalali Alenjareghi at Polytechnique Montreal, Canada

Morteza Jalali Alenjareghi is a PhD candidate in Industrial Engineering at Polytechnique Montréal, focusing on AI-driven hazard analysis and risk assessment for safe human-robot collaboration. He holds a Master’s in Chemical Engineering (HSE) and a Bachelor’s in Safety Engineering. His research spans wearable sensors, Industry 4.0, ergonomics, and advanced safety methods, with multiple publications in top-tier journals. With extensive academic and industrial experience in HSE, he has served as a lecturer, reviewer, and project leader. Recognized with the PBEEE Doctoral Research Grant, he is actively involved in community engagement, scientific collaboration, and promoting safety innovation through interdisciplinary research.

Professional Profile

Google Scholar

Academic Background

Morteza Jalali Alenjareghi is currently pursuing a PhD in Industrial Engineering at Polytechnique Montréal, where his research focuses on AI-driven job hazard analysis and risk assessment to ensure safe human-robot collaboration. He earned his Master’s degree in Chemical Engineering with a specialization in Health, Safety, and Environment (HSE) from the University of Environment, graduating with distinction. His Bachelor’s degree is in Safety Engineering from the Petroleum University of Technology. His academic journey reflects a strong foundation in safety science, combining advanced technologies with industrial applications to address critical issues in occupational safety and intelligent manufacturing systems.

Professional Experience

Morteza Jalali Alenjareghi has accumulated extensive professional experience in both academic and industrial settings, focusing on safety engineering and risk assessment. He has served as a lecturer at Polytechnique Montréal, Islamic Azad University, and the University of Science and Culture, teaching courses on industrial safety, standards, and fluid mechanics. In industry, he held key roles such as Head of HSE at Petro Danial Kish and HSE Supervisor at IEI Company, where he led projects related to ISO standards, HAZOP studies, and offshore safety. His roles consistently demonstrate leadership in advancing workplace safety, compliance, and innovation in high-risk environments.

Awards and Honors

Morteza Jalali Alenjareghi has been recognized for his academic excellence and professional contributions through several prestigious awards and honors. Notably, he received the PBEEE Doctoral Research Grant (2025–2026) from the Fonds de recherche du Québec in the Nature and Technology sector, affirming the quality and impact of his research. He was also the supervisor of the champion team in the 2019 firefighters’ competition organized by the Ministry of Oil. His leadership in safety innovation, research excellence, and commitment to community engagement has earned him distinction in both academic and professional spheres throughout his evolving career.

Research Focus

Morteza Jalali Alenjareghi’s research is centered on the integration of artificial intelligence with industrial safety systems, specifically targeting human-robot collaboration in Industry 4.0 environments. His work involves proactive risk assessment methodologies such as LLM-enhanced STPA and FMEA, as well as the development of wearable sensor systems to prevent work-related musculoskeletal disorders. He also explores deep learning frameworks for real-time ergonomic risk prediction and computer vision applications in job hazard analysis. Through interdisciplinary approaches, his research aims to enhance safety, efficiency, and adaptability in smart manufacturing and disassembly processes, contributing to the evolution of intelligent, human-centered industrial systems.

Publication Top Notes

📘 Distinguished discriminatory separation of CO₂ from its methane-containing gas mixture via PEBAX mixed matrix membrane
Year: 2018 | Cited by: 21

📘 LPG storage tank accidents: initiating events, causes, scenarios, and consequences
Year: 2021 | Cited by: 18

📘 Safe human-robot collaboration: a systematic review of risk assessment methods with AI integration and standardization considerations
Year: 2024 | Cited by: 10

📘 Highly efficient and recyclable spongy nanoporous graphene for remediation of organic pollutants
Year: 2021 | Cited by: 8

📘 Computer vision-enabled real-time job hazard analysis for safe human–robot collaboration in disassembly tasks
Year: 2024 | Cited by: 2

Conclusion

Morteza Jalali Alenjareghi stands out as a highly deserving candidate for the Best Researcher Award due to his exceptional academic background, impactful research contributions, and extensive professional experience. Currently pursuing a PhD in Industrial Engineering at Polytechnique Montréal, his work focuses on AI-driven safety systems for human-robot collaboration—an area of increasing global relevance. With a strong foundation in chemical and safety engineering, he has authored high-quality publications, contributed to cutting-edge advancements in Industry 4.0, and led major HSE initiatives across industrial sectors. His teaching, leadership, community service, and recognition through prestigious awards like the PBEEE grant further demonstrate his excellence and potential.

 

 

Xiaolong Lu | Engineering | Best Researcher Award

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Dr. Xiaolong Lu | Engineering | Best Researcher Award

Dr. Xiaolong Lu, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, China

Dr. Xiaolong Lu (b. Jan 21, 1994) is a materials scientist at the State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, CAS. He holds a Master’s in Chemical Engineering from Tianjin University and a Bachelor’s in Process Equipment from Qilu University of Technology. His expertise spans CVD, PVD, BET, and advanced tribological testing 🧪. Dr. Lu has published multiple papers on high-entropy coatings, nanostructured materials, and wear-resistant films in top-tier journals 📚. His research contributes significantly to aerospace and industrial lubrication technologies

Publication Profile

Scopus

🎓 Educational Background

Dr. Xiaolong Lu began his academic journey in Process Equipment and Control Engineering at Qilu University of Technology, where he earned his Bachelor’s degree (2012–2016) 🏫. He then advanced his expertise by pursuing a Master’s degree in Chemical Engineering at the prestigious Tianjin University from 2016 to 2019 🧪. Throughout his academic training, Dr. Lu developed a strong foundation in mechanical design, materials science, and engineering principles, which laid the groundwork for his future contributions to advanced materials and tribology research 🔬📘. His education has played a vital role in shaping his innovative research career.

💼 Work Experience

Dr. Xiaolong Lu began his professional career at Sinohydro Foundation Engineering Co., Ltd from July to December 2019, gaining valuable industry experience in engineering projects 🏗️. In January 2020, he joined the prestigious State Key Laboratory of Solid Lubrication at the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🏛️. There, he has been deeply involved in cutting-edge research on advanced tribological materials and surface coatings 🔬. His work focuses on developing innovative solutions for wear resistance and lubrication, contributing significantly to the field of materials science and engineering.

🔍 Research Focus

Dr. Xiaolong Lu’s research centers on advanced tribological materials and high-entropy coatings for wear resistance and lubrication applications ⚙️🛡️. His work extensively explores high-entropy nitrides and carbonitrides, investigating their mechanical, structural, and tribological properties under varying conditions 🧪🔬. Using cutting-edge techniques like high power impulse magnetron sputtering and high-throughput preparation methods, Dr. Lu aims to enhance coatings for demanding environments such as aviation lubricants ✈️. His research contributes to developing innovative materials that improve durability and reduce friction in mechanical systems, supporting industrial and aerospace engineering advancements

Conclusion

Dr. Xiaolong Lu’s focused research on high-entropy coatings, tribological optimization, and advanced deposition techniques marks him as a valuable contributor to applied surface engineering. His combination of practical expertise, high-impact publications, and innovative methodology makes him a strong and deserving candidate for the Best Researcher Award.

Publication Top Notes

  • Exploring atmospheric tribological properties of MoS2-(Cr, Nb, Ti, Al, V) composite coatings, Tribology International, 2021, cited by [–] 📅⚙️

  • Investigation of (CrAlTiNbV)Nx high-entropy nitride coatings for aviation lubricant, Applied Surface Science, 2021, cited by [–] 🧪✈️

  • Mechanical and tribological performance of (CrAlTiNbV)Nx nitride coatings in aviation lubricant, Ceramics International, 2021, cited by [–] 🏭🔧

  • Nanostructure, mechanical properties and tribological behavior of high-entropy carbonitrides coatings, Ceramics International, 2025, cited by [–] 🔬⚡

  • Effect of peak current on MoxN coatings microstructure and tribological behavior, Tribology International, 2023, cited by [–] ⚡🛠️

  • Characterization and wear role of (CrAlVTiNb)Nx high-entropy alloy nitride films, Journal of Alloys and Compounds, 2025, cited by [–] 🧱🔍

  • Comparative analysis of high-entropy nitrides and carbonitrides coatings over temperature range, Journal of Alloys and Compounds, 2025, cited by [–] 🌡️📊

Mohammad Neshati | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr . Mohammad Neshati | Electrical Engineering | Best Researcher Award

Assoc. Prof. Dr . Mohammad Neshati, Ferdowsi University of Mashhad, Iran

Dr. Mohammad Hassan Neshati is an Associate Professor in the Department of Electrical Engineering and Electronics at Ferdowsi University of Mashhad, Iran. Born in Yazd in 1959, he specializes in microelectronics, microwave engineering, and antenna design. With over two decades of academic and research experience, Dr. Neshati has been a reviewer and editorial board member for esteemed journals such as IEEE-AP and the International Journal of Antennas and Propagation. A senior IEEE member, he has supervised numerous MSc and PhD students. Dr. Neshati is fluent in English and Persian, contributing significantly to advancements in dielectric resonator antenna technologies.

Publication Profile

Orcid

Education

Dr. Neshati earned his PhD in Electrical Engineering from UMIST (University of Manchester Institute of Science and Technology), UK, where he specialized in numerical modeling and application studies of rectangular dielectric resonator antennas. Before that, he obtained his MSc in Electronics from Amir-Kabir University of Technology, Tehran, focusing on telemetry and radio frequency circuit design. His academic journey began with a BS degree in Electrical Engineering from Isfahan University of Technology, Iran. Throughout his education, Dr. Neshati demonstrated exceptional academic performance, earning scholarships and accolades for his research contributions.

Experience

Dr. Neshati has extensive teaching and research experience, beginning as an Instructor at Sistan & Baluchistan University (1989–1996), later becoming an Assistant Professor there until 2007. He then joined Ferdowsi University of Mashhad, progressing from Assistant Professor (2007–2008) to Associate Professor (2008–present). Dr. Neshati serves on editorial boards of several international journals and is a reviewer for IEEE journals. He has also mentored numerous MSc and PhD students, contributing significantly to academic research and engineering education. His expertise covers microelectronics, microwave devices, antennas, and network analyzers, supported by advanced proficiency in simulation tools like MATLAB, HFSS, and ADS.

Awards and Honors

Dr. Neshati has been a Senior Member of IEEE since 2013 and a regular member since 2000. He was awarded a prestigious scholarship to pursue his PhD studies at UMIST, where he was recognized as a top selected PhD student during 2000–2001. His academic excellence, leadership in research, and significant contributions to the fields of microwave engineering and antenna design have earned him notable distinctions. In addition, his editorial roles in prominent journals further highlight his standing in the scientific community. Dr. Neshati’s awards underscore his commitment to advancing research and fostering academic excellence in electrical engineering.

Research Focus

Dr. Neshati’s research centers around microelectronics, microwave engineering, and advanced antenna systems, particularly focusing on rectangular dielectric resonator antennas (RDRAs). His PhD work combined theoretical modeling, numerical simulation using FEM, and experimental validation of RDRAs. Key areas of investigation include resonance frequency optimization, radiation patterns, Q-factor, impedance bandwidth, and coupling mechanisms. His studies explore various feed structures like probe-fed and microstrip-coupled systems, addressing practical challenges such as fabrication imperfections. Dr. Neshati’s current research extends to dual-band antennas, backward radiation reduction, and dielectric resonator applications, contributing innovations in wireless communication and RF systems design.

Publication Top Notes

  • Development of a Compact Microstrip Antenna Using Slow-Wave Artificial Dielectric Substrate – Microwave and Optical Technology Letters (2025) 📡, DOI: 10.1002/mop.70191

  • Textile-based high-gain bow-tie antenna using metamaterials for medical applications – Engineering Reports (2024) 🏥, DOI: 10.1002/eng2.12949

  • Efficient Design Procedure for Combline Bandpass Filters With Advanced Electrical Responses – IEEE Access (2023) 🔧, DOI: 10.1109/ACCESS.2023.3278791

  • Equivalent Circuit Modeling of a Transmission Mode FSS Structure with Anisotropic Substrate and Enhanced Parameters – Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2022) 🔬, DOI: 10.1007/s40998-022-00489-2

  • Development of a New Method for Pattern Synthesizing of Linear and Planar Arrays Using Legendre Transform With Minimum Number of Elements – IEEE Transactions on Antennas and Propagation (2022) 📡, DOI: 10.1109/TAP.2021.3137200

  • A new noniterative method for pattern synthesis of unequally spaced linear arrays – International Journal of RF and Microwave Computer-Aided Engineering (2019) 🔧, DOI: 10.1002/mmce.21921

  • Crosstalk analysis of uniform and nonuniform lossy microstrip‐coupled transmission lines – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21916

  • Crosstalk analysis of multi‐microstrip coupled lines using transmission line modeling – International Journal of RF and Microwave Computer-Aided Engineering (2019) ⚡, DOI: 10.1002/mmce.21677

  • Design and Development of High-Gain SIW H-Plane Horn Antenna Loaded With Waveguide, Dipole Array, and Reflector Nails Using Thin Substrate – IEEE Transactions on Antennas and Propagation (2019) 📡, DOI: 10.1109/TAP.2019.2896445

  • Input impedance modeling of patch and semi-rectangular substrate integrated waveguide cavity hybrid antenna – AEU – International Journal of Electronics and Communications (2018) 🔧, DOI: 10.1016/j.aeue.2018.03.013

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.

 

 

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 🌱

 

 

Benkun Tan | Engineering | Best Researcher Award

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Benkun Tan | Engineering | Best Researcher Award

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

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

Publication profile

Orcid

Education 

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

Research focus 

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

Publication top notes

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

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

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

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

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

Conclusion 

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

 

 

Suganya. R | Engineering | Best Researcher Award

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Dr. R. Suganya| Engineering | Best Researcher Award

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

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

Publication Profile

Google Scholar

Educational Background 

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

Professional Experiences

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

Research Interests and Contributions

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

Awards and Achievements  

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

Conclusion

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

Publication Top Notes

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

 

Mehrdad ghamari | Engineering Award | Best Researcher Award

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Mr. Mehrdad ghamari | Engineering Award | Best Researcher Award

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

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

 

Publication Profile

Google Scholar

Education

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

Research Experience & Interests

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

Academic Experience

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

Work Experience

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

Conclusion

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

Publication Top Notes

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

 

 

mehrdad ghamari | Engineering | Best Researcher Award

Published on by Academic Awards

Mr. mehrdad ghamari | Engineering | Best Researcher Award

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

Profile :

Scopus

Education Background :

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

Professional Experience :

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

Research Experience & Interests :

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

Award And Recognition :

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

Conclusion :

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

Publication Top Notes :

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

GAMAL ABDELNASSER ALLAM ABOUZIED | Engineering | Best Researcher Award

Published on by Academic Awards

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

Assistant Researcher, National Water Research Center, Egypt

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

 

Publication Profile

orcid

Education Background 

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

Professional Experiences

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

Research Contributions

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

Awards and Recognition

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

Conclusion

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

Publication Top Notes  

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