Farshad Nobakhtkolour | Engineering | Best Researcher Award

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Mr. Farshad Nobakhtkolour | Engineering | Best Researcher Award

Researcher at K.N.Toosi University of Technology, Iran

Farshad Nobakht-Kolur 🎓 is a passionate civil engineer specializing in marine structures and offshore renewable energy 🌊⚡. He earned his M.Sc. in Coasts, Ports, and Marine Structures from K. N. Toosi University of Technology and his B.Sc. in Civil Engineering from Shahrood University 🏫. Farshad’s research focuses on floating structures, marine hydrodynamics, and aquaculture engineering 🚢🌱. He has published multiple journal papers and served as a peer reviewer 📚🖋️. A top-ranked student throughout his academic journey 🏆, he continues to contribute actively to the marine engineering community through research, reviews, and professional memberships 🤝.

Professional Profile:

Orcid

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🔵 Education and Experience 

  • 🎓 M.Sc. in Coasts, Ports, and Marine Structures – K. N. Toosi University of Technology (2016-2019)

  • 🎓 B.Sc. in Civil Engineering – Shahrood University of Technology (2009-2013)

  • 🏫 Diploma in Mathematics and Physics – Bagher-al-Olum High School (2005-2009)

  • 👨‍🏫 Teaching Assistant – Shahrood University of Technology (Statics & Steel Structures Courses)

  • 🧪 Researcher – Published papers in top marine and fluid mechanics journals

  • 📑 Conference Presenter – Marine Industries Conference and academic workshops

🔵 Professional Development 

Farshad Nobakht-Kolur has actively contributed to professional growth through memberships and peer reviewing 🛠️📖. He is a member of the Iranian Coastal and Marine Structural Engineering Association (ICOMSEA) 🌐, and The American Society for Nondestructive Testing (ASNT) 🧪🔍. Farshad has reviewed articles for prestigious journals like Ocean Engineering and Journal of Modern Green Energy ✍️📘. His commitment to continuous learning and sharing knowledge is evident through his workshop presentations, paper publications, and involvement with academic and industrial bodies 🌟. Farshad’s work bridges the gap between theoretical research and real-world marine engineering solutions 🌊🔗.

🔵 Research Focus Category 

Farshad Nobakht-Kolur’s research focus lies in marine and offshore engineering 🌊🔧. His primary interests include floating wind turbines, floating solar islands, offshore renewable energy structures, and aquaculture engineering 🌱⚡. He specializes in fluid-structure interaction, experimental modeling, and numerical simulation 🧪💻. Farshad’s work emphasizes sustainable marine structures like floating seaweed farms and hybrid platforms that support renewable energy production and food security 🌿🔋. Through advanced physical modeling and hydrodynamic analysis, he contributes innovative solutions to the growing demands of the offshore and marine industry 🚢🌍.

🔵 Awards and Honors 

  • 🥇 First rank – Best Graduate M.Sc. Students in Marine Engineering, Iranian Marine Industries Organization, 2022

  • 🥈 Second rank – Top MSc Students in Marine Structure Engineering, 2019

  • 🧠 Top 1% – MSc Entrance Exam of Universities, 2016

  • 🎓 Top 10% – B.Sc. Students in Civil Engineering, 2013

  • 🧠 Top 1% – University Entrance Exam, 2009

  • 🎖️ Top 10 – High School Graduates, 2009

Publication Top Notes

  1. Effects of soft marine fouling on wave-induced forces in floating aquaculture cages: Physical model testing under regular waves

    • Journal: Ocean Engineering

    • Date: October 2021

    • DOI: 10.1016/j.oceaneng.2021.109759

    • Focus: How soft biofouling (like algae and soft marine growth) changes the forces exerted on aquaculture cages when regular waves hit them, using physical model tests.

  2. Hydrodynamic forces in marine-fouled floating aquaculture cages: Physical modelling under irregular waves

    • Journal: Journal of Fluids and Structures

    • Date: August 2021

    • DOI: 10.1016/j.jfluidstructs.2021.103331

    • Focus: Similar to above but testing under irregular waves (more realistic sea conditions), focusing on how fouling affects hydrodynamic forces.

  3. Wave attenuation/build-up around and inside marine fouled floating aquaculture cages under regular wave regimes

    • Journal: Journal of Ocean Engineering and Marine Energy

    • Date: February 24, 2021

    • DOI: 10.1007/s40722-021-00186-y

    • Focus: Investigating wave energy behavior—whether it’s dampened (attenuated) or amplified (build-up)—around/inside fouled cages during regular waves.

  4. Experimental Modelling of Biofouling Effects on the Regular and Irregular Waves Load in Aquaculture Cages

    • Institution: K. N. Toosi University of Technology

    • Type: Dissertation/Thesis

    • Year: 2019

    • DOI: 10.13140/RG.2.2.28208.48644

    • Focus: The early foundational work by Farshad Nobakht-Kolur, focusing on both regular and irregular waves and their loading effects on biofouled cages, likely forming the base for the later journal papers.

Conclusion

Farshad Nobakht-Kolur demonstrates all the qualities of a promising and impactful researcher: scientific excellence, originality, practical application of research, international publication record, and community engagement.
In my opinion, he is a highly suitable and strong candidate for the Best Researcher Award — particularly within the fields of marine structures, offshore engineering, and renewable energy systems.

Ehsan Adibnia | Engineering | Best Academic Researcher Award

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Dr. Ehsan Adibnia | Engineering | Best Academic Researcher Award

Dr. Ehsan Adibnia at University of Sistan and Baluchestan, Iran

Dr. Ehsan Adibnia 🎓 is a dedicated academic researcher in electrical engineering ⚡, specializing in cutting-edge fields such as artificial intelligence 🤖, machine learning 📊, deep learning 🧠, nanophotonics 💡, optics 🔬, and plasmonics ✨. He is proficient in Python 🐍, MATLAB 🧮, and Visual Basic, and utilizes simulation tools like Lumerical 📈, COMSOL 🧪, and RSoft 🔧 to drive innovative research. Fluent in English 🇬🇧 and Persian 🇮🇷, Dr. Adibnia contributes to academic conferences and peer-reviewed journals 📚. He is currently pursuing his Ph.D. and actively engaged in interdisciplinary scientific exploration 🌐.

Professional Profile:

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🔹 Education & Experience 

🎓 Ph.D. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (Expected 2025)
🎓 B.S. in Electrical Engineering – University of Sistan and Baluchestan, Zahedan, Iran (2014)
🧑‍💼 Executive Committee Member – 27th Iranian Conference on Optics and Photonics & 13th Conference on Photonic Engineering and Technology
🖋️ Assistant Editor – International Journal (Name not specified)
🔍 Researcher – Actively engaged in interdisciplinary AI & photonics research projects

🔹 Professional Development 

Dr. Ehsan Adibnia continually enhances his professional growth through active participation in conferences 🧑‍🏫, committee leadership 🗂️, and editorial work 📑. He develops algorithms and conducts simulations using advanced tools such as Lumerical 🔬, COMSOL 🧪, and RSoft 💻. His expertise in AI and photonics drives innovative research and collaboration 🌍. He also hones his programming skills in MATLAB 🧮, Python 🐍, and VBA 🧠, ensuring precision in modeling and data analysis. His hands-on knowledge in PLC systems 🤖 and industrial automation makes him versatile across both academic and applied research settings 🏭.

🔹 Research Focus 

Dr. Adibnia’s research focuses on the fusion of artificial intelligence 🤖 and photonics 💡. His work explores machine learning 📊, deep learning 🧠, nanophotonics 🔬, plasmonics ✨, optical switching 🔁, and slow light 🐢 technologies. He is particularly interested in leveraging these technologies in biosensors 🧫, metamaterials 🔷, and quantum optics ⚛️. Through simulation and algorithm development, he aims to optimize performance in optoelectronic and photonic systems 🔍. His interdisciplinary research bridges electrical engineering with physics and AI, creating advanced systems for diagnostics, sensing, and smart environments 🌐.

🔹 Awards & Honors 

🏅 Executive Committee Role – 27th Iranian Conference on Optics and Photonics
🏅 Executive Committee Role – 13th Iranian Conference on Photonic Engineering and Technology
📜 Assistant Editor – International scientific journal (name not specified)
🧠 Scopus-indexed Researcher – Scopus ID: 58485414000

Publication Top Notes

🔹 High-performance and compact photonic crystal channel drop filter using P-shaped ring resonator

  • Journal: Results in Optics

  • Date: Dec 2025

  • DOI: 10.1016/j.rio.2025.100817

  • Summary: Proposes a novel P-shaped ring resonator design for channel drop filters in photonic crystal structures. Focuses on achieving high performance in terms of compactness and spectral selectivity for integrated optical circuits.

🔹 Optimizing Few-Mode Erbium-Doped Fiber Amplifiers for high-capacity optical networks using a multi-objective optimization algorithm

  • Journal: Optical Fiber Technology

  • Date: Sep 2025

  • DOI: 10.1016/j.yofte.2025.104186

  • Summary: Introduces a multi-objective optimization approach for designing few-mode EDFAs, targeting performance improvements in next-gen high-capacity optical networks.

🔹 Inverse design of octagonal plasmonic structure for switching using deep learning

  • Journal: Results in Physics

  • Date: Apr 2025

  • DOI: 10.1016/j.rinp.2025.108197

  • Summary: Utilizes deep learning for the inverse design of an octagonal plasmonic structure used in optical switching, demonstrating enhanced precision and compact design capability.

🔹 Chirped apodized fiber Bragg gratings inverse design via deep learning

  • Journal: Optics & Laser Technology

  • Date: 2025

  • DOI: 10.1016/J.OPTLASTEC.2024.111766

  • WOS UID: WOS:001311493000001

  • Summary: Applies deep learning to the inverse design of chirped apodized fiber Bragg gratings, optimizing the spectral characteristics for filtering and sensing applications.

🔹 Inverse Design of FBG-Based Optical Filters Using Deep Learning: A Hybrid CNN-MLP Approach

  • Journal: Journal of Lightwave Technology

  • Date: 2025

  • DOI: 10.1109/JLT.2025.3534275

  • Summary: Proposes a hybrid CNN-MLP architecture to design fiber Bragg grating (FBG) optical filters, improving accuracy and speed in the inverse design process using deep learning techniques.

Conclusion

Dr. Adibnia is still in the process of completing his Ph.D., his broad technical expertise, multidisciplinary research focus, early academic leadership roles, and active participation in both national and international platforms make him a highly promising candidate for the Best Academic Researcher Award in the early-career researcher or emerging researcher category.

Guanqun Li | Engineering | Best Researcher Award

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Dr. Guanqun Li | Engineering | Best Researcher Award

Associate Researcher at Shengli oilfield, SINOPEC, China

Guanqun Li (李冠群), born in May 1994 in Shandong, China 🇨🇳, is an Associate Researcher at Shengli Oilfield Company, SINOPEC 🛢️. He earned his PhD in Oil and Gas Field Development Engineering from China University of Petroleum (East China) 🎓. His work focuses on the microscopic characterization of shale reservoirs and fluid dynamics in oil and gas systems 🔬💧. With numerous publications in top journals like Fuel and Physics of Fluids 📚, he brings innovation to shale oil recovery technologies. Passionate about fractal modeling and fluid imbibition research, Guanqun Li is contributing significantly to modern energy development ⚙️🌍.

Professional Profile:

Scopus

🔹 Education and Experience 

  • 🎓 Sep. 2016 – June 2019: Master’s in Oil and Gas Field Development Engineering, Yangtze University

  • 📚 Sep. 2019 – June 2023: PhD in Oil and Gas Field Development Engineering, China University of Petroleum (East China)

  • 🏢 July 2023 – Present: Associate Researcher, Shengli Oilfield Company, SINOPEC

🔹 Professional Development 

Dr. Guanqun Li 📘 has shown consistent professional growth, moving from academic research to applied industry innovation. His academic journey through Yangtze University and the China University of Petroleum provided a solid foundation in oilfield development ⚒️. At SINOPEC, he applies his expertise in reservoir simulation, fracturing mechanics, and fluid flow modeling 🔬. He actively contributes to peer-reviewed journals and international conferences 🌍. Guanqun continuously develops novel analytical and fractal models for imbibition in shale formations 🌀. His cross-disciplinary collaboration and technical excellence are hallmarks of his evolving career in the energy sector 🚀.

🔹 Research Focus Category 

Guanqun Li’s research centers on unconventional oil and gas recovery, specifically shale oil reservoir characterization and fluid imbibition mechanisms 🛢️💧. His work explores microscale fluid motion, fractal modeling, and productivity analysis in hydraulically fractured formations 🔍📈. He is especially interested in the spontaneous and forced imbibition processes in complex porous media under various boundary conditions 🧪. His models help optimize horizontal well performance and support enhanced oil recovery (EOR) strategies 🧠⚙️. With a clear focus on improving efficiency in volume fracturing and fluid migration mechanisms, his research is highly impactful in modern petroleum engineering 🚧.

🔹 Awards and Honors 

  • 🏅 Interpore Conference Presentation (2020) – Recognized for outstanding research on production enhancement in fractured wells

  • 📖 Multiple First-Author Publications – Published in top journals like Fuel, Physics of Fluids, and Energy & Fuels

  • 🧠 Acknowledged for Innovative Fractal Modeling – In spontaneous/forced imbibition in shale formations

  • 🥇 Highly Cited Review Paper – On EOR techniques in shale oil (Geofluids, 2021)

Publication Top Notes

  • Title: Quantifying lithofacies-dependent imbibition behavior in continental shale oil by fractal modeling: A case study of the gentle slope fault zone, Jiyang DepressionAuthors: Li Guanqun, Peng Yanxia, Yang Yong, Cao Xiaopeng, Su YuliangJournal: Fuel

    Year: 2025

Conclusion

Dr. Guanqun Li stands out as an emerging leader in petroleum reservoir engineering with clear scientific originality, engineering relevance, and a solid record of first-author publications in high-impact journals. His work has contributed meaningfully to advancing the understanding of shale oil imbibition mechanisms and their application in field operations.

Shirko Faroughi | Engineering | Best Researcher Award

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Prof. Shirko Faroughi | Engineering | Best Researcher Award

Academic at Urmia University of Technoloy, Iran

Dr. Shirko Faroughi, an esteemed Professor of Mechanical Engineering at Urmia University of Technology, Iran, specializes in Computational Mechanics, Isogeometric Analysis, and Finite Element Methods. With a Ph.D. from Iran University of Science and Technology, he has held research positions at KTH University (Sweden), Swansea University (UK), and Bauhaus University Weimar (Germany). His work spans fracture mechanics, machine learning, and 3D printing simulations. As a CICOPS Scholar at the University of Pavia, Italy, Dr. Faroughi actively collaborates on international research projects, contributing significantly to advanced numerical methods. 📚🌍

Professional Profile:

Scopus

Google Scholar

Education & Experience 🎓📜

  • Ph.D. in Mechanical Engineering (2010) – Iran University of Science and Technology 🏛️

  • M.S. in Mechanical Engineering (2005) – Iran University of Science and Technology 🏗️

  • B.S. in Mechanical Engineering (2003) – Tabriz University 🚗

🔹 Academic Roles

  • Professor (2020 – Present) – Urmia University of Technology 👨‍🏫

  • Associate Professor (2015 – 2020) – Urmia University of Technology 🔬

  • Assistant Professor (2011 – 2015) – Urmia University of Technology 📖

  • Visiting Researcher (2008 – 2009) – KTH University, Sweden 🇸🇪

🔹 Administrative & International Positions

  • Dean of Mechanical Engineering Department (2022 – Present) 🏢

  • CICOPS Scholar – University of Pavia, Italy (2022) 🇮🇹

  • Research Collaborator – Swansea University, UK (2015 – Present) 🇬🇧

  • Research Collaborator – New Mexico State University, USA (2016 – Present) 🇺🇸

  • Research Collaborator – Bauhaus University Weimar, Germany (2017 – Present) 🇩🇪

Professional Development 🌍📚

Dr. Shirko Faroughi has made remarkable contributions to mechanical engineering through computational mechanics, finite element analysis, and machine learning. His research advances superconvergent mass and stiffness matrices, isogeometric methods, phase-field methods, and energy harvesting. He also integrates AI-driven techniques to enhance engineering simulations. His collaborations span Europe and the U.S., working with top researchers on thin structures, 3D printing, and structural dynamics. As a department dean and international collaborator, he plays a pivotal role in engineering education and research innovations, fostering global academic partnerships. 🌎💡

Research Focus 🔍🧠

Dr. Faroughi’s research primarily revolves around Computational Mechanics and Advanced Numerical Methods, integrating Artificial Intelligence and Machine Learning for engineering applications. His work focuses on:

  • Superconvergent mass and stiffness matrices 📐🔬

  • Isogeometric and finite element methods 🏗️📊

  • Fracture mechanics and phase-field modeling 🏚️💥

  • Tensegrity structures and energy harvesting ⚡🔩

  • Machine learning and transfer learning in mechanical simulations 🤖📈

  • 3D printing simulations and advanced material modeling 🖨️🧩

His research bridges traditional mechanical engineering with AI and computational techniques, pushing engineering boundaries through innovative numerical simulations. 🚀🔢

Awards & Honors 🏆🎖️

  • CICOPS Scholarship – University of Pavia, Italy (2022) 🇮🇹

  • Visiting Researcher – KTH University, Sweden (2008-2009) 🇸🇪

  • Research Collaborator – Swansea University, UK (2015-Present) 🇬🇧

  • Research Collaborator – Bauhaus University Weimar, Germany (2017-Present) 🇩🇪

  • Research Collaborator – New Mexico State University, USA (2016-Present) 🇺🇸

  • Dean of Mechanical Engineering Department – Urmia University of Technology (2022-Present) 🏛️

  • Multiple Grants for Advanced Computational Mechanics Research 🎓🔍

Publication Top Notes

  1. Wave Propagation in 2D Functionally Graded Porous Rotating Nano-Beams

    • Authors: S. Faroughi, A. Rahmani, M.I. Friswell

    • Published in Applied Mathematical Modelling (2020)

    • Citations: 71

    • Focus: Investigates wave propagation in porous nano-beams using a general nonlocal higher-order beam theory, considering functionally graded materials and rotation effects.

  2. Vibration of 2D Imperfect Functionally Graded Porous Rotating Nanobeams

    • Authors: A. Rahmani, S. Faroughi, M.I. Friswell

    • Published in Mechanical Systems and Signal Processing (2020)

    • Citations: 54

    • Focus: Examines vibration behavior of imperfect functionally graded porous rotating nanobeams based on a generalized nonlocal theory.

  3. Non-linear Dynamic Analysis of Tensegrity Structures Using a Co-Rotational Method

    • Authors: S. Faroughi, H.H. Khodaparast, M.I. Friswell

    • Published in International Journal of Non-Linear Mechanics (2015)

    • Citations: 47

    • Focus: Develops a co-rotational method for analyzing nonlinear dynamics of tensegrity structures.

  4. Physics-Informed Neural Networks for Solute Transport in Heterogeneous Porous Media

    • Authors: S.A. Faroughi, R. Soltanmohammadi, P. Datta, S.K. Mahjour, S. Faroughi

    • Published in Mathematics (2023)

    • Citations: 40

    • Focus: Uses physics-informed neural networks (PINNs) with periodic activation functions to model solute transport in heterogeneous porous media.

  5. Nonlinear Transient Vibration of Viscoelastic Plates Using a NURBS-Based Isogeometric HSDT Approach

    • Authors: E. Shafei, S. Faroughi, T. Rabczuk

    • Published in Computers & Mathematics with Applications (2021)

    • Citations: 30

    • Focus: Investigates nonlinear transient vibrations of viscoelastic plates using an isogeometric high-order shear deformation theory (HSDT) approach.

T Pramod | Engineering | Best Researcher Award

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Mr. T Pramod | Engineering | Best Researcher Award

Research Scholar at Kalasalingam Academy of Research and Education, India

T. Pramod is a dedicated mechanical engineering professional with significant experience in research and development. He holds a Master’s degree in Engineering by Research from Visvesvaraya Technological University, specializing in mechanical systems. Pramod has worked with leading organizations like ISRO, TERI, CPRI, and CMTI, focusing on cutting-edge research in thermal spray coatings, polymer nano composites, and mechanical characterization. His passion for innovation and technical excellence is reflected in his contributions to scientific publications and technical committees. His experience spans metrology, optics inspection, and the development of fire retardant nano composites. 🌟🔬📚

Professional Profile

Orcid

Education and Experience:

Education:

  • M.Sc. Engineering by Research (Mechanical), Visvesvaraya Technological University & Central Power Research Institute, Bangalore – 62.83% (2018) 🎓
  • B.E. (Mechanical), Visvesvaraya Technological University, M.V.J College of Engineering, Bangalore – 64.17% (2011) 🎓
  • PUC (PCMB), Pre University Board, Sree Cauvery College, Bangalore – 54.33% (2007) 🎓
  • SSLC (Science), Central Board, Kendriya Vidyalaya D.R.D.O Township, Bangalore – 58.60% (2005) 🎓

Experience:

  • Technical Assistant, Laboratory for Electro Optics Systems (LEOS-ISRO), Bangalore (Sept 2023 – Feb 2024) 🛠️
  • Research Consultant, The Energy and Resources Institute (TERI-SRC), Bangalore (Jan 2018 – Nov 2022) 🔬
  • Research Fellow, Central Power Research Institute (CPRI), Bangalore (May 2013 – July 2016) 🔬
  • Graduate Engineer, Central Manufacturing Technology Institute (CMTI), Bangalore (Sept 2011 – May 2013) ⚙️

Professional Development:

Pramod has been actively involved in advancing his technical skills and knowledge. He has participated in numerous professional forums, including being a technical committee member at national conferences such as the Additive Manufacturing in Aerospace and Defense and Residual Stress Seminar. He serves as a review board member in Medicon Engineering Themes and as an associate editor for PriMera Scientific Publications. His contributions to various research areas are evident in the manuscripts he reviews, such as investigations into erosion damage and the conductivity of polymer composite electrolytes. 📚🌐💡

Research Focus:

Pramod’s research primarily revolves around advanced materials and manufacturing processes, with a focus on thermal spray coatings, polymer nano composites, and erosion behavior in mechanical systems. He has worked on developing fire retardant materials, particularly for medium voltage cable sheathing applications. Additionally, his research includes cavitation effects on hydro turbine steels and coatings, showcasing his expertise in experimental and numerical methods for analyzing material behavior under harsh conditions. His work aims to innovate and enhance material properties for industrial applications. 🔬⚙️💡

Awards and Honors:

  • Review Board Member, Medicon Engineering Themes (ISSN2834-7218) 📜
  • Associate Editor, PriMera Scientific Publications 📜
  • United Group Research Award, for outstanding research (2019) 🏆
  • Gold Medal, for securing 1st class in B.Sc. (Hons.) Physics 🥇

Publication Top Notes

  • Title: Mechanical and flame retardant characteristics of PC/ABS composites: effect of loading co-microencapsulated flame retardant additive along with silane treated nanoclay and functionalized MWCNT as fillers
    Authors: T. Pramod
    Journal: Advanced Composite Materials
    Year: 2025
    DOI: 10.1080/09243046.2025.2475600
    If you’re looking for the full text, you can usually access the publication through academic databases or the journal’s website using the DOI link provided. Alternatively, if you don’t have access, you might consider requesting it through your institution’s library or reaching out directly to the author for a copy.