Mehmet Senturk |Structural Engineering | Best Researcher Award

Posted on by Engineering Scientist

Dr. Mehmet Senturk | Structural Engineering
| Best Researcher Award

 

Tutor in Engineering at Coventry University, United Kingdom .

Dr. Mehmet Senturk is a distinguished engineering tutor at Coventry University, with a PhD in Structural Engineering. His work integrates seismic design, finite element analysis, and sustainable construction, bridging academic innovation with industrial application. With over ten years of global academic and consultancy experience, Dr. Senturk has led and collaborated on funded research projects, produced high-impact publications, and holds several national patents. His expertise spans structural health monitoring, sensor technologies, image processing, and additive manufacturing. His interdisciplinary approach enhances structural resilience and digital engineering. With 140 citations and an h-index of 6, Dr. Senturk’s commitment to cutting-edge innovation and international collaboration makes him an ideal candidate for the Best Researcher Award.

🌍 Professional Profile:

Orcid 

Scopus

Google scholar

🏆 Suitability for the Best Researcher Award

Dr. Mehmet Senturk exemplifies research excellence through his impactful contributions to structural and earthquake engineering. With a PhD in Structural Engineering and over a decade of academic and industry experience, he has led pioneering work in seismic design, sustainable structures, and smart monitoring technologies. His three national patents, 140+ Google Scholar citations, and extensive publication record in top-tier journals showcase his innovative approach and commitment to advancing engineering science. Dr. Senturk’s interdisciplinary skills—spanning robotics, image processing, and additive manufacturing—have fueled international collaborations and transformative research projects. His ability to bridge theory with real-world applications makes him a leader in engineering innovation and a highly deserving candidate for the Best Researcher Award.

🎓 Education 

Dr. Mehmet Senturk’s academic journey reflects a strong foundation in civil and structural engineering. He holds a PhD in Structural Engineering, where his research focused on advanced modeling and resilience of structural systems under seismic and thermal loads. His MSc in Earthquake Engineering provided expertise in seismic risk mitigation, retrofitting, and dynamic analysis. He began his academic pursuit with a BSc in Civil Engineering, establishing core competencies in materials science, construction practices, and geotechnical fundamentals. This progression has allowed Dr. Senturk to integrate theory with real-world applications, culminating in a comprehensive educational background ideal for interdisciplinary research and innovation in structural and sustainable engineering.

🏢 Work Experience 

Dr. Mehmet Senturk has over a decade of combined academic and industrial experience. He currently serves as a Tutor in Engineering at Coventry University, where he mentors future engineers and contributes to pioneering research. His career includes contributions to over 20 industry projects, with a focus on structural diagnostics, seismic assessment, and smart infrastructure systems. Dr. Senturk has collaborated with institutions such as the University of Sheffield, Istanbul Technical University, and Istanbul Rumeli University. His cross-functional work includes the design and testing of cold-formed steel, bolted precast systems, and high-temperature-resistant components. His experience spans robotics, sensor integration, and image processing, positioning him at the intersection of civil, digital, and structural engineering.

🏅 Awards and Honors 

Dr. Mehmet Senturk’s research achievements have earned national recognition through multiple Turkish patents, reflecting his contributions to innovative structural systems and testing technologies. His patented inventions include a two-piece high-temperature test furnace and advanced connection systems for reinforced concrete. He has been a prolific reviewer for leading journals such as Engineering Structures and Structures (Elsevier), completing over 30 peer-reviews. His role in collaborative projects with renowned academics from institutions like the University of Sheffield and Istanbul Technical University highlights his influence in global research. With 140 Google Scholar citations and an h-index of 6, Dr. Senturk’s consistent excellence in research, collaboration, and innovation underlines his strong suitability for awards recognizing outstanding research contributions.

🔬 Research Focus 

Dr. Mehmet Senturk’s research focuses on enhancing structural resilience through the integration of traditional civil engineering with advanced digital tools. His core areas include seismic performance of structures, finite element modeling, and sustainable construction. He investigates structural systems under complex load conditions—thermal, seismic, and axial—using both experimental and numerical methods. His research incorporates sensor technologies, structural health monitoring, and robotics platforms like Arduino and Raspberry Pi for real-time diagnostics. He is also active in additive manufacturing and digital prototyping of test systems. Dr. Senturk’s work supports the development of smarter, safer infrastructure through interdisciplinary innovation, evidenced by his patents, publications in top-tier journals, and ongoing collaborations across Europe and Turkey.

📊 Publication Top Notes:

  1. Senturk, M., Ilki, A., & Hajirasouliha, I. (2025).
    Replaceable monolithic-like beam-to-beam precast connection for RC frames: Concept development and design procedure.
    Structures.
    https://doi.org/10.1016/j.istruc.2025.108875

  2. Öztürk, F., Mojtabaei, S. M., Senturk, M., Pul, S., & Hajirasouliha, I. (2022).
    Buckling behaviour of cold-formed steel sigma and lipped channel beam–column members.
    Thin-Walled Structures, 173, 108963.
    https://doi.org/10.1016/j.tws.2022.108963

  3. Pul, S., Senturk, M., Ilki, A., & Hajirasouliha, I. (2021).
    Experimental and numerical investigation of a proposed monolithic-like precast concrete column-foundation connection.
    Engineering Structures, 239, 113090.
    https://doi.org/10.1016/j.engstruct.2021.113090

  4. Pul, S., Atasoy, A., Senturk, M., & Hajirasouliha, I. (2021).
    Structural performance of reinforced concrete columns subjected to high-temperature and axial loading under different heating-cooling scenarios.
    Journal of Building Engineering, 43, 102477.
    https://doi.org/10.1016/j.jobe.2021.102477

  5. Senturk, M., Pul, S., Ilki, A., & Hajirasouliha, I. (2020).
    Development of a monolithic-like precast beam-column moment connection: Experimental and analytical investigation.
    Engineering Structures, 206, 110057.
    https://doi.org/10.1016/j.engstruct.2019.110057

  6. Pul, S., & Senturk, M. (2017).
    A bolted moment connection model for precast column-beam joint.
    World Congress on Civil, Structural, and Environmental Engineering.
    https://doi.org/10.11159/icsenm17.129

Hongyu Gao | Environmental Engineering | Best Researcher Award

Posted on by Engineering Scientist

Assoc. Prof. Dr. Hongyu Gao |Environmental Engineering | Best Researcher Award

 

Associate professor at Shanxi University, China .

Dr. Gao H.Y. is a distinguished Doctor of Engineering and Master Supervisor at the Institute of Resources and Environmental Engineering, Shanxi University, China. With a robust academic background from the China University of Geosciences (Wuhan), he has established a prolific career in both academic and industrial research. His work emphasizes industrial solid waste utilization, in-situ treatment of mining waste, and industrial system design. He has held key research roles in esteemed institutions like the Chinese Academy of Sciences and contributed to environmental sustainability through innovative resource management. Dr. Gao actively participates in national expert committees and associations. His contributions make him a highly suitable candidate for the Best Researcher Award, recognizing his impactful research, dedication, and national-level influence.

🌍 Professional Profile:

Orcid 

🏆 Suitability for the Best Researcher Award

Dr. Gao H.Y. is a leading figure in environmental engineering, with significant contributions to industrial solid waste utilization and sustainable mining practices. His interdisciplinary expertise bridges academic innovation and industrial application, exemplified through his work at Shanxi University and the Chinese Academy of Sciences. As a recognized expert in over ten national committees and associations, he has played a vital role in shaping policy and advancing green technologies. His impactful research, national influence, and dedication to environmental sustainability mark him as an outstanding candidate for the Best Researcher Award. Dr. Gao’s efforts not only address pressing ecological challenges but also drive technological innovation and industrial transformation, making him a deserving recipient of this prestigious recognition.

🎓 Education 

Dr. Gao H.Y. has a comprehensive academic background from the China University of Geosciences (Wuhan). He earned his Doctorate in Engineering from 2014 to 2017, building a strong foundation in environmental and resource engineering. Prior to this, he completed his Master’s degree from 2006 to 2009, focusing on advanced studies in geosciences and waste utilization. His academic journey began with a Bachelor’s degree (2001–2005), where he gained essential knowledge in environmental and geological sciences. Throughout his education, Dr. Gao cultivated a multidisciplinary approach that combines environmental engineering, waste management, and sustainable development. His strong educational background has greatly contributed to his professional success and positions him as an authority in his research fields.

🏢 Work Experience 

Dr. Gao H.Y. brings extensive experience across academia, research, and industry. Since 2017, he has served as an Assistant Researcher at Shanxi University, contributing to advanced research and mentoring graduate students. From 2015 to 2017, he worked at the State Key Laboratory of Environmental Aquatic Chemistry, Chinese Academy of Sciences, where he led key projects in environmental science. Earlier, he held a technical management role at ZhongYang Steel Co., Ltd. (2010–2014), applying his knowledge to industrial innovation. He began his career as an Analytical Chemist in the Institute of Mineral Resources Utilization, Changsha. This diverse background enables Dr. Gao to bridge academic research with practical industrial applications, especially in solid waste treatment and resource optimization.

🏅 Awards and Honors 

Dr. Gao H.Y. has received multiple honors recognizing his expertise in environmental engineering and solid waste management. He was awarded the prestigious “Pearl River Talent” of Guangdong Province and has been selected as an expert in various national and regional organizations. His roles include Expert in the Industrial Solid Waste Special Committee (China Green Building Materials Industry), China Nonferrous Metals Think Tank, and the Chinese Ceramic Society. He also serves on expert committees of the China Energy Society and Western Chemical Society, and he is the Director of both the Shanxi Metal Society and Fly Ash Industry Association. These accolades reflect his national influence, leadership, and significant contributions to environmental sustainability and technological advancement in solid waste resource utilization.

🔬 Research Focus 

Dr. Gao H.Y.’s research primarily focuses on sustainable utilization and in-situ treatment of industrial solid waste, particularly in mining regions. He integrates environmental engineering principles with industrial system design to enhance waste management practices. His work involves developing innovative techniques for recycling tailings, fly ash, and other industrial by-products, aiming to transform them into valuable materials for construction and infrastructure. Dr. Gao is also dedicated to optimizing the operational models of industrial formats to align with environmental regulations and economic efficiency. His interdisciplinary research contributes to reducing environmental impacts, conserving natural resources, and promoting green industrial development. His focus areas support China’s circular economy goals and the global agenda for sustainable and responsible resource utilization.

📊 Publication Top Notes:

  • Gao, H. (2016). H₂S emission in sludge conditioning with different inorganic salt coagulants and its relationships with sludge properties. RSC Advances, Journal Article.

  • Gao, H. (2016). Removal of norfloxacin using coupled synthesized nanoscale zero-valent iron (nZVI) with H₂O₂ system: Optimization of operating conditions and degradation pathway. Separation and Purification Technology, Journal Article.

  • Gao, H. (2016). Synthesis Method of White Carbon Black Utilizing Water-Quenching Blast Furnace Slag. Energy & Fuels, Journal Article.

  • Gao, H. (2016). Synthesis of highly effective absorbents with waste quenching blast furnace slag to remove methyl orange from aqueous solution. Journal of Environmental Sciences, Journal Article.

  • Gao, H. (2016). The Study on Comprehensive Utilization of Blast Furnace Slag. Conference Paper.

Quanbing Guo | Photonics Technology | Best Researcher Award

Posted on by Engineering Scientist

Prof.  Quanbing Guo |Photonics Technology
| Best Researcher Award

 

 Researcher at Wuhan Institute of Quantum Technology, China .

Dr. Quanbing Guo is an accomplished researcher at the Wuhan Institute of Quantum Technology, recognized for his groundbreaking contributions to nonlinear nanophotonics and quantum light-matter interactions. With a Ph.D. in Nanoscale Science and Technology from Wuhan University, Dr. Guo has consistently published in high-impact journals, including Physical Review Letters, Nano Letters, and ACS Photonics. His innovative work on exciton transport, plasmonic nanocavities, and spin-orbit interactions of light significantly advances nanoscale photonics. His scholarly output, interdisciplinary collaborations, and dedication to scientific excellence make him a standout candidate for the Best Researcher Award, highlighting both the impact and relevance of his research in emerging quantum and photonic technologies.

🌍 Professional Profile:

Google scholar

🏆 Suitability for the Best Researcher Award

Dr. Quanbing Guo is an accomplished researcher at the Wuhan Institute of Quantum Technology, recognized for his groundbreaking contributions to nonlinear nanophotonics and quantum light-matter interactions. With a Ph.D. in Nanoscale Science and Technology from Wuhan University, Dr. Guo has consistently published in high-impact journals, including Physical Review Letters, Nano Letters, and ACS Photonics. His innovative work on exciton transport, plasmonic nanocavities, and spin-orbit interactions of light significantly advances nanoscale photonics. His scholarly output, interdisciplinary collaborations, and dedication to scientific excellence make him a standout candidate for the Best Researcher Award, highlighting both the impact and relevance of his research in emerging quantum and photonic technologies.

🎓 Education 

Dr. Quanbing Guo completed his Ph.D. in Nanoscale Science and Technology at Wuhan University in June 2020, where he developed expertise in photonics, nanomaterials, and quantum technologies. His doctoral research focused on the manipulation of light at the nanoscale, contributing to several pioneering studies in nonlinear optics and nanophotonic materials. Prior to his Ph.D., he earned a B.S. in Physics from Zhengzhou University in June 2015, building a strong foundation in theoretical and experimental physics. This combination of rigorous academic training and cutting-edge research exposure has equipped Dr. Guo with a comprehensive understanding of advanced nanoscience and a multidisciplinary approach to tackling challenges in quantum optics and photonic systems.

🏢 Work Experience 

Dr. Quanbing Guo is currently a researcher at the Wuhan Institute of Quantum Technology (since January 2023), where he leads efforts in nonlinear nanophotonics and quantum light manipulation. Previously, he served as an associate researcher at Tsinghua University (October 2021–December 2022), contributing to major projects on quantum light-matter interactions and exciton dynamics. His postdoctoral training at Shenzhen University (October 2020–October 2021) focused on plasmon-exciton coupling in nanocavities. These roles have equipped him with interdisciplinary research skills and collaborative experience at top Chinese research institutions. Dr. Guo’s professional journey reflects a steady trajectory of growth and innovation in nanophotonics and quantum technologies, making him a vital contributor to the advancement of next-generation optical systems.

🏅 Awards and Honors 

While specific award titles are not listed, Dr. Quanbing Guo’s consistent publication in top-tier journals such as Physical Review Letters, Nano Letters, ACS Photonics, and Light: Science & Applications reflects a high level of peer recognition and scientific impact. His work has been conducted in collaboration with leading scientists and institutions, including Tsinghua University and Wuhan Institute of Quantum Technology, indicating strong professional esteem. The quality and novelty of his research—especially in areas such as nonlinear exciton polaritons and surface plasmon polaritons—are likely to have attracted accolades, research grants, and invitations to collaborate internationally. Dr. Guo’s scientific productivity and influence make him a likely recipient of honors within the fields of nanophotonics and quantum research.

🔬 Research Focus 

Dr. Quanbing Guo’s research focuses on nonlinear nanophotonics, plasmonic nanostructures, and quantum light-matter interactions. He investigates phenomena such as exciton transport enhancement, chiral Raman routing via spin-orbit interaction, and coherent second harmonic generation in nanoscale systems. A key theme in his work is manipulating light at the atomic and nanoscales using materials like WSe₂ and atomically-thin nonlinear crystals. His studies also explore photonic substrates and plasmon-exciton coupling in nanocavities to enable advanced optical functionality. Dr. Guo’s contributions are driving innovation in quantum photonics, paving the way for miniaturized optical devices and efficient energy transport at the nanoscale. His work bridges physics, materials science, and photonic engineering, making him a leader in the next generation of optical research.

📊 Publication Top Notes:

    1. Zheng, X., Lei, H., Yang, G., Ke, W., Chen, Z., Chen, C., Ma, J., Guo, Q., Yao, F., …
      Title: Enhancing efficiency and stability of perovskite solar cells via a high mobility p-type PbS buffer layer
      Journal: Nano Energy, 38, 1–11, 2017
      Citations: 79

    1. Guo, Q., Fu, T., Tang, J., Pan, D., Zhang, S.P., Xu, H.X.
      Title: Routing a chiral Raman signal based on spin-orbit interaction of light
      Journal: Physical Review Letters, 123(18), 183903, 2019
      Citations: 63

    1. Shi, J.J., Guo, Q., Shi, Z.F., Zhang, S.P., Xu, H.X.
      Title: Nonlinear nanophotonics based on surface plasmon polaritons
      Journal: Applied Physics Letters, 119(13), 2021
      Citations: 36

    1. Ou, Z.W., Wang, T., Tang, J., Zong, X., Wang, W., Guo, Q., Xu, Y., Zhu, C., Wang, L., …
      Title: Enabling and Controlling Negative Photoconductance of FePS3 Nanosheets by Hot Carrier Trapping
      Journal: Advanced Optical Materials, 8(10), 2000201, 2020
      Citations: 28

    1. Wu, K., Zhong, H., Guo, Q., Tang, J., Zhang, J., Qian, L., Shi, Z., Zhang, C., Yuan, S., …
      Title: Identification of twist-angle-dependent excitons in WS2/WSe2 heterobilayers
      Journal: National Science Review, 9(6), nwab135, 2022
      Citations: 21

    1. Guo, Q., Ou, Z.W., Tang, J.B., Zhang, J., Lu, F.Y., Wu, K., Zhang, D.G., Zhang, S.P., Xu, H.X.
      Title: Efficient frequency mixing of guided surface waves by atomically thin nonlinear crystals
      Journal: Nano Letters, 20(11), 7956–7963, 2020
      Citations: 21

    1. Guo, Q., Wu, B.J., Du, R.G., Ji, J.M., Wu, K., Li, Y., Shi, Z.F., Zhang, S.P., Xu, H.X.
      Title: Boosting Exciton Transport in WSe2 by Engineering Its Photonic Substrate
      Journal: ACS Photonics, 9(8), 2817–2824, 2022
      Citations: 17

    1. Zhang, T.Z., Guo, Q., Shi, Z.F., Zhang, S.P., Xu, H.X.
      Title: Coherent Second Harmonic Generation Enhanced by Coherent Plasmon–Exciton Coupling in Plasmonic Nanocavities
      Journal: ACS Photonics, 10(5), 1529–1537, 2023
      Citations: 15

    1. Luo, Y., Zhao, J., Fieramosca, A., Guo, Q., Kang, H., Liu, X., Liew, T.C.H., Sanvitto, D., …
      Title: Strong light-matter coupling in van der Waals materials
      Journal: Light: Science & Applications, 13(1), 203, 2024
      Citations: 14

    1. Wu, K., Zhong, H., Guo, Q., Tang, J., Yang, Z., Qian, L., Yuan, S., Zhang, S., Xu, H.X.
      Title: Revealing the Competition between Defect‐Trapped Exciton and Band‐Edge Exciton Photoluminescence in Monolayer Hexagonal WS2
      Journal: Advanced Optical Materials, 10(6), 2101971, 2022
      Citations: 13

Hazrat Bilal | Robotics Engineering | Young Scientist Award

Posted on by Engineering Scientist

Dr. Hazrat Bilal |Robotics Engineering
| Young Scientist Award

Postdoctoral Research Fellow at Shenzhen University, China .

Dr. Hazrat Bilal is a highly accomplished researcher and Postdoctoral Fellow at Shenzhen University, China. With a Ph.D. in Control Science & Engineering from the University of Science & Technology of China, he brings exceptional expertise in intelligent robotics, deep learning, and fault diagnosis. Dr. Bilal has authored over 30 high-impact publications and has earned 1200+ citations (h-index: 12). His outstanding academic record is complemented by rich industry experience and several prestigious fellowships and awards. A dedicated IEEE member and registered engineer with PEC, he is passionate about pushing the boundaries of intelligent automation. His remarkable early-career accomplishments and leadership in research make him a strong candidate for the Young Scientist Award.

🌍 Professional Profile:

Scopus 

Orcid

Google scholar

🏆 Suitability for the Best Researcher Award


Dr. Hazrat Bilal is a highly deserving candidate for the Young Scientist Award, with an exceptional academic record (Ph.D., USTC, GPA 3.88/4.00; M.S., NUST, GPA 3.85/4.00). As a Postdoctoral Fellow at Shenzhen University, he has made significant contributions to intelligent robotics, fault diagnosis, and AI-driven control systems. With over 15 high-impact Q1/Q2 journal publications—including in the IEEE IoT Journal, Soft Computing, Bioengineering, and Human-centric Computing—his research demonstrates innovation and practical value. His interdisciplinary work in blockchain-enabled IoRT, fuzzy-ADRC control, and AI for medical and UAV systems reflects his leadership in emerging technologies. With over 1200 citations and global collaborations, Dr. Bilal stands out as a promising young researcher committed to advancing intelligent and sustainable technologies.

🎓 Education 

Dr. Hazrat Bilal’s academic journey reflects a commitment to excellence in engineering and research. He earned his Ph.D. in Control Science & Engineering from the University of Science & Technology of China (2018–2024), maintaining an exceptional GPA of 3.88/4.00. Prior to that, he completed his Master’s degree in the same field at Nanjing University of Science & Technology (2015–2018) with a GPA of 3.85/4.00 and received an Outstanding Graduate Certificate. His undergraduate studies in Electrical (Electronics) Engineering were completed at FUUAST Islamabad, Pakistan (2010–2014), earning a GPA of 3.18/4.00. This strong academic foundation underpins his work in robotics, automation, and advanced control systems.

🏢 Work Experience 

Dr. Bilal brings interdisciplinary and global experience from academia and industry. He worked as a Performance Software Engineer at ZF Friedrichshafen, Shanghai, where he developed vision algorithms and optimized embedded system performance. Prior to that, he served as a Telecom Engineer at Real Solution Pvt. Ltd., Pakistan, contributing to 3G system installations and RF optimization. He also worked at Dargai Hydropower Plant as a Control Engineer, where he led power generation and preventive maintenance operations. Additionally, he completed internships and technical training at the National Telecommunication Corporation, University of Tennessee (USA), and CAE Pakistan. These roles have refined his expertise in automation, control systems, robotics, and smart grid technologies.

🏅 Awards and Honors 

Dr. Hazrat Bilal has received numerous awards recognizing his academic excellence and innovation. He is a recipient of the CAS-TWAS Fellowship Award at USTC and the NMG-NUST Joint Scholarship for his master’s studies. His exceptional performance earned him the Outstanding Graduate Certificate from Nanjing University of Science & Technology. As an undergraduate, he was awarded scholarships from Akhuwat Foundation and Pakistan Bait-ul-Mal, along with a Prime Minister’s Laptop under the national scheme. He secured funding for his final-year project through the National Grassroots ICT R&D Program. Dr. Bilal also received a Letter of Appreciation from IEEE FUUAST and continues to excel as an IEEE member and professional contributor to engineering societies.

🔬 Research Focus 

Dr. Hazrat Bilal’s research lies at the intersection of robotic control systems, artificial intelligence, and fault diagnosis. His recent works emphasize hybrid deep learning algorithms for the Internet of Robotic Things (IoRT), adaptive control of flexible manipulators, and trajectory tracking. He has proposed advanced techniques integrating fuzzy logic, ADRC, CNNs, LSTMs, and blockchain for secure, intelligent, and resilient systems. His current research includes generative AI for traffic simulation, nanorobot control, and intelligent medical diagnosis using AI. Dr. Bilal’s work contributes significantly to the future of smart manufacturing, healthcare, and autonomous vehicles. His focus on interdisciplinary, experimental, and data-driven approaches positions him as a leader in intelligent control systems.

📊 Publication Top Notes:

  • Title: A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
    Authors: H. Xu, Z. Sun, Y. Cao, H. Bilal
    Journal: Soft Computing, 27(19), 14469–14481
    Citations: 172
    Year: 2023

  • Title: Pruning filters with L1-norm and capped L1-norm for CNN compression
    Authors: A. Kumar, A. M. Shaikh, Y. Li, H. Bilal, B. Yin
    Journal: Applied Intelligence, 51(2), 1152–1160
    Citations: 147
    Year: 2021

  • Title: A practical study of active disturbance rejection control for rotary flexible joint robot manipulator
    Authors: H. Bilal, B. Yin, M. S. Aslam, Z. Anjum, A. Rohra, Y. Wang
    Journal: Soft Computing, 27(8), 4987–5001
    Citations: 128
    Year: 2023

  • Title: Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach
    Authors: H. Bilal, B. Yin, A. Kumar, M. Ali, J. Zhang, J. Yao
    Journal: Soft Computing, 27(7), 4029–4039
    Citations: 118
    Year: 2023

  • Title: Experimental validation of fuzzy PID control of flexible joint system in presence of uncertainties
    Authors: H. Bilal, W. Yao, Y. Guo, Y. Wu, J. Guo
    Conference: 2017 36th Chinese Control Conference (CCC), 4192–4197
    Citations: 115
    Year: 2017

  • Title: Real-time lane detection and tracking for advanced driver assistance systems
    Authors: H. Bilal, B. Yin, J. Khan, L. Wang, J. Zhang, A. Kumar
    Conference: 2019 Chinese Control Conference (CCC), 6772–6777
    Citations: 101
    Year: 2019

  • Title: Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles
    Authors: Q. Wu, X. Li, K. Wang, H. Bilal
    Journal: Soft Computing, 27(23), 18195–18213
    Citations: 90
    Year: 2023

  • Title: Reduction of multiplications in convolutional neural networks
    Authors: M. Ali, B. Yin, A. Kunar, A. M. Sheikh, H. Bilal
    Conference: 2020 39th Chinese Control Conference (CCC), 7406–7411
    Citations: 85
    Year: 2020

  • Title: Second-order convolutional network for crowd counting
    Authors: L. Wang, Q. Zhai, B. Yin, H. Bilal
    Conference: Fourth International Workshop on Pattern Recognition, 11198, 158–163
    Citations: 83
    Year: 2019

  • Title: A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
    Authors: H. Dou, Y. Liu, S. Chen, H. Zhao, H. Bilal
    Journal: Soft Computing, 27(21), 16373–16388
    Citations: 82
    Year: 2023

  • Title: Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection
    Authors: M. Ali, B. Yin, H. Bilal, A. Kumar, A. M. Shaikh, A. Rohra
    Journal: Multimedia Tools and Applications, 83(12), 36307–36327
    Citations: 50
    Year: 2024

Lu Liu | power system planning | Best Researcher Award

Posted on by Engineering Scientist

Assoc. Prof. Dr. Lu Liu |power system planning
| Best Researcher Award

 

Associate Researcher at Shanghai Jiao Tong University, China .

Dr. Lu Liu is an Associate Professor at Shanghai Jiao Tong University, specializing in power system planning and optimization. She holds a B.S. and M.S. in Electrical Engineering from Wuhan University and a Ph.D. in Electrical Engineering from Shanghai Jiao Tong University. With extensive research experience, she has led nationally funded projects, contributed to over 30 SCI/EI-indexed papers, and secured more than 10 patents. She has received three provincial and ministerial science and technology awards (First Prize) for her impactful contributions to power system development. Her work focuses on transmission network expansion, renewable energy integration, and energy system optimization, making her a strong candidate for the Best Researcher Award in electrical engineering.

🌍 Professional Profile:

Scopus 

🏆 Suitability for the Best Researcher Award

Dr. Lu Liu is an accomplished researcher in electrical power systems, particularly in transmission network planning and optimization. Her significant research contributions include nationally funded projects, 30+ SCI/EI-indexed papers, and 10+ patents, demonstrating high research impact and innovation. Her expertise in transmission-distribution network coordination and renewable energy integration is crucial for the sustainable development of modern power grids. Additionally, she has received three First Prize provincial and ministerial science and technology awards, further validating her excellence in research and innovation. Given her high-impact research, extensive academic output, and contributions to national energy policies, she is a highly suitable candidate for the Best Researcher Award in the field of electrical engineering.

🎓 Education 

Dr. Lu Liu holds a B.S. and M.S. in Electrical Engineering from Wuhan University and a Ph.D. in Electrical Engineering from Shanghai Jiao Tong University. Her academic journey has been driven by a strong passion for power system optimization, renewable energy integration, and transmission planning. During her Ph.D. studies, she focused on multi-objective transmission expansion planning, addressing key challenges in power grid stability and risk assessment. Her educational background has provided her with a solid foundation in electrical power systems, enabling her to contribute to national and international research projects. Through her rigorous academic training, she has developed expertise in data-driven planning, risk modeling, and contingency analysis, making her a leader in the field of electrical power engineering.

🏢 Work Experience 

Dr. Lu Liu is an Associate Professor at Shanghai Jiao Tong University with extensive experience in power system planning and transmission network optimization. She has led nationally funded research projects, including those supported by the National Natural Science Foundation of China and the National Key Research and Development Plan of China. She has been actively involved in industry-sponsored projects, having contributed to 15+ consultancy and industry collaborations. With over 30 SCI/EI-indexed papers and 10+ patents, she has established herself as a leading expert in power grid stability, energy storage integration, and contingency planning. Her work has significantly influenced China’s power infrastructure development, positioning her as a key researcher in the future of smart and sustainable power systems.

🏅 Awards and Honors 

Dr. Lu Liu has received three First Prize provincial and ministerial science and technology awards, recognizing her pioneering research in electrical power systems. These prestigious awards highlight her contributions to transmission network planning, risk assessment, and energy system optimization. She has also received multiple research grants from the National Natural Science Foundation of China, enabling her to pursue cutting-edge research in power grid stability and expansion. Additionally, her work has been published in 30+ SCI/EI-indexed journals, further validating the impact of her research. Her patents on energy system innovations showcase her ability to translate research into practical solutions, making her a respected leader in power system engineering and an ideal candidate for the Best Researcher Award.

🔬 Research Focus 

Dr. Lu Liu’s research focuses on transmission network planning, power system optimization, and renewable energy integration. She is particularly interested in data-driven planning methodologies, risk-based decision-making, and contingency-constrained expansion planning. Her work addresses critical challenges in modern power grids, including high-penetration renewable energy integration, coordination between transmission and distribution networks, and long-term energy storage planning. She has developed advanced models for transmission expansion planning, considering uncertainties in renewable energy generation and energy storage deployment. Through her contributions, she has helped improve power system reliability, reduce costs, and enhance sustainability. Her research is highly relevant to global energy transition efforts, making her a key figure in the future of smart and resilient power systems.

📊 Publication Top Notes:

  • Sun, C., Liu, L., Cheng, H., Liang, Q., & Liu, R. (2025). Multistage expansion planning of source-grid coordination considering frequency security under retirement of thermal power units. Electric Power Systems Research.
    Citations: 0

  • Ma, S., Liu, L., Cheng, H., Lou, W., & Wu, J. (2025). Transmission grid and distribution grid flexible planning under high level renewable energy. Electric Power Systems Research.
    Citations: 0

  • Xu, Y., Sun, C., Liu, L., Liu, W., & Tan, Z. (2025). Source-Grid Coordinated Planning Considering Network Node Inertia Level Differences Under Coal-Fired Power Unit Retirement. Applied Sciences (Switzerland).
    Citations: 0

  • Yuan, Z., Zhang, H., Cheng, H., Wang, Y., & Cai, D. (2025). Resilience Enhancement of Coordinated Transmission and Distribution System via Risk-based Decentralized Planning Against Typhoons. IEEE Transactions on Industry Applications.
    Citations: 0

  • Ma, Z., Zhang, S., Zhang, H., Liu, L., & Cheng, H. (2025). An improved coupled single-port model to calculate voltage stability margin based on a novel limit condition. Electric Power Systems Research.
    Citations: 0

  • Zhou, J., Zhang, H., Cheng, H., Wang, Z., & Zhang, X. (2024). Resilience-oriented Hardening and Expansion Planning of Transmission System Under Hurricane Impact. CSEE Journal of Power and Energy Systems.
    Citations: 1

jaehyeong lee | Electronics Engineering | Best Researcher Award

Posted on by Engineering Scientist

Dr. jaehyeong lee |Electronics Engineering
| Best Researcher Award

Staff engineer at  samsung electronics, South Korea .

Jaehyeong Lee is a dedicated researcher and Staff Engineer at Samsung Electronics, specializing in DRAM BEOL reliability. With a Ph.D. in Materials Engineering, his research focuses on electromigration (EM) and time-dependent dielectric breakdown (TDDB) characteristics in BEOL processes. His work has led to significant insights into the effects of mechanical stress on BEOL TDDB, contributing to the development of a clustering model for enhanced reliability. He has published seven SCI-indexed papers and received the Excellent Poster Award at HyMaP 2017. His commitment to advancing semiconductor reliability through innovative research makes him a strong candidate for the Best Researcher Award.

🌍 Professional Profile:

Scopus 

🏆 Suitability for the Best Researcher Award

Jaehyeong Lee’s research on DRAM BEOL reliability addresses critical challenges in semiconductor manufacturing. His studies on electromigration and TDDB have contributed to improving BEOL process reliability in advanced DRAM technology. His expertise in understanding mechanical stress effects on TDDB has led to innovative approaches in clustering models. With seven SCI-indexed publications, he has demonstrated significant contributions to the field. His award-winning research (Excellent Poster Award, HyMaP 2017) and ongoing investigations into process improvements showcase his dedication. As a researcher tackling industry-relevant challenges with impactful solutions, he is well-qualified for the Best Researcher Award.

🎓 Education 

Jaehyeong Lee holds a Ph.D. in Materials Engineering, which laid the foundation for his expertise in semiconductor reliability. His doctoral research focused on DRAM BEOL reliability, particularly in electromigration (EM) and time-dependent dielectric breakdown (TDDB) mechanisms. His academic background equipped him with advanced knowledge of materials behavior under extreme scaling conditions, which he applies to his current work at Samsung Electronics. Through his rigorous academic training and specialization in BEOL reliability, he has contributed valuable insights into semiconductor technology. His education has been instrumental in his ability to develop innovative solutions that enhance the longevity and performance of DRAM products.

🏢 Work Experience 

Jaehyeong Lee is currently a Staff Engineer at Samsung Electronics, where he researches DRAM BEOL reliability. His experience includes analyzing BEOL manufacturing processes and their effects on electromigration (EM) and TDDB characteristics. He has contributed to the semiconductor industry by investigating mechanical stress factors affecting BEOL TDDB and developing a clustering model to improve reliability. With a strong research background and practical expertise in semiconductor reliability, he has played a pivotal role in addressing key challenges in DRAM technology. His seven published SCI-indexed papers reflect his commitment to advancing BEOL process understanding and reliability. His professional journey highlights his contributions to the innovation and development of high-performance memory devices.

🏅 Awards and Honors 

Jaehyeong Lee’s research excellence has been recognized with the Excellent Poster Award at HyMaP 2017, highlighting his contributions to materials engineering and semiconductor reliability. His seven SCI-indexed publications demonstrate his impact in the field of DRAM BEOL reliability. His research findings on electromigration and TDDB have gained recognition in the scientific community, influencing advancements in semiconductor process improvements. His innovative approach to clustering models for mechanical stress effects on TDDB showcases his ability to contribute groundbreaking insights. With a focus on improving semiconductor reliability, his research achievements, academic rigor, and industry contributions make him a deserving candidate for further accolades and recognition in the field.

🔬 Research Focus 

Jaehyeong Lee’s research focuses on the degradation characteristics of BEOL reliability in DRAM technology. His work addresses the impact of electromigration (EM) and time-dependent dielectric breakdown (TDDB) on BEOL process reliability. His recent studies on mechanical stress effects on BEOL TDDB aim to improve the stability and efficiency of semiconductor devices. He has also developed a clustering model to analyze and predict TDDB behavior under different manufacturing conditions. His research contributes to overcoming the challenges posed by rapid DRAM scaling. By enhancing BEOL reliability, he plays a crucial role in improving semiconductor performance and longevity, making his research valuable to the advancement of memory technologies.

📊 Publication Top Notes:

Lee, J., Jihyun, B., Woo, B., Byoung-wook, Y. M., Lee, Y. M., Ko, S., Seungbum, & Pae, S., Sangwoo. (2025). Vertical scale-down of Cu/low-k interconnect development for BEOL reliability improvement of 12nm DRAM. Microelectronics Reliability.

Jiaxuan Yang | Environmental Engineering | Best Researcher Award

Posted on by Engineering Scientist

 Mr. Jiaxuan Yang |Environmental Engineering
| Best Researcher Award

 

Associate Researcher at  Harbin Institute of Technology, China .

Jiaxuan Yang is an Associate Researcher at the Harbin Institute of Technology (HIT), specializing in membrane technology and water environment remediation. With a strong academic background in environmental engineering, he has made significant contributions to water treatment innovations. His research focuses on membrane material preparation, interfacial fouling analysis, and water quality assessment. He has published 33 SCI-indexed papers, with 7 as first or corresponding author, and holds 3 national invention patents. His work has received 180 citations, reflecting his impact in the field. Jiaxuan is currently leading 4 ongoing research projects, demonstrating his commitment to advancing environmental technologies. His contributions position him as a strong candidate for the Best Researcher Award in environmental science and engineering.

🌍 Professional Profile:

Scopus 

🏆 Suitability for the Best Researcher Award

Jiaxuan Yang’s research excellence and innovative contributions to environmental engineering make him a strong contender for the Best Researcher Award. With a Ph.D. from HIT and extensive expertise in membrane technology, he has published 33 high-impact papers and secured 3 national patents. His research has been widely recognized, garnering 180 citations and contributing to advancements in water treatment technologies. As a key researcher in 4 ongoing projects, he demonstrates leadership in developing solutions for water purification and environmental sustainability. His consistent academic performance, coupled with prestigious accolades such as the Outstanding Graduate and Outstanding Thesis Award, underscores his dedication to scientific progress. His work significantly influences the future of water treatment and environmental engineering.

🎓 Education 

Jiaxuan Yang’s educational journey is marked by academic excellence in environmental engineering. He earned his Bachelor’s degree from the Harbin Institute of Technology (HIT), where he demonstrated outstanding performance, receiving the Outstanding Graduate and Outstanding Thesis Award. He then pursued a Master’s degree at the University of New South Wales (UNSW), gaining international exposure and expertise in advanced environmental science techniques. Building upon this foundation, he completed his Ph.D. in Environmental Science and Engineering at HIT, specializing in membrane separation technology and water treatment innovations. His strong academic background, research accomplishments, and interdisciplinary approach to environmental engineering have positioned him as a leading expert in water remediation and membrane technologies.

🏢 Work Experience 

Jiaxuan Yang has extensive experience in environmental engineering, particularly in water treatment and membrane technology. As an Associate Researcher at the Harbin Institute of Technology (HIT), he is involved in pioneering research on membrane material preparation, interfacial fouling analysis, and advanced water purification methods. He has successfully contributed to 4 major ongoing research projects, demonstrating his expertise in practical environmental solutions. His work has resulted in 33 SCI-indexed publications and 3 national patents, showcasing his ability to translate theoretical research into impactful technological innovations. With a citation index of 180, his contributions are well-recognized within the academic and professional community, making him a key figure in environmental research and sustainable water treatment advancements.

🏅 Awards and Honors 

Jiaxuan Yang has received numerous prestigious awards and recognitions for his outstanding academic and research achievements. He was honored with the Outstanding Graduate and Outstanding Thesis Award during both his undergraduate and Ph.D. studies at HIT, highlighting his academic excellence. His research contributions have been widely cited, accumulating 180 citations and demonstrating the significance of his work in environmental science. His innovative contributions in membrane technology and water treatment have earned him 3 national invention patents, further cementing his reputation as a leading researcher. With 33 published SCI-indexed papers, including 7 as first or corresponding author, his work has been recognized globally. These accolades affirm his dedication and impact in the field of environmental engineering.

🔬 Research Focus 

Jiaxuan Yang’s research primarily revolves around membrane technology and water treatment processes. His expertise includes membrane material preparation, interfacial fouling analysis, and water quality assessment, which are critical to improving water purification systems. His studies aim to enhance the efficiency and durability of membrane filtration techniques, contributing to sustainable water management. He has played a key role in 4 ongoing research projects and has published 33 SCI-indexed papers on innovative solutions for environmental remediation. His work has also led to 3 national invention patents, demonstrating his ability to merge theoretical advancements with practical applications. His research is instrumental in addressing global water scarcity issues and advancing next-generation environmental engineering solutions.

📊 Publication Top Notes:

  • DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications

    • Authors: P. Liu, H. Xu, P. Jin, … D. Xu, H. Liang

    • Journal: Water Research (2025)

    • Citations: 0

  • Molecular insights into dye decolorization performance and mechanisms under carbon-limited conditions in a membrane aeration-based bioelectrochemical system

    • Authors: T. Wang, J. Yin, J. Yang, … H. Liang, H.Y. Ng

    • Journal: Water Research (2025)

    • Citations: 1

  • Electronic structure reconstruction of Fe-Mn diatomic pair for disentangling activity-stability tradeoff in Fenton-like reactions

    • Authors: W. Li, L. Kong, Z. Wang, … X. He, J. Ma

    • Journal: Applied Catalysis B: Environmental (2025)

    • Citations: 3

Alexander Kustov | Renewable Energy | Best Researcher Award

Posted on by Engineering Scientist

 Dr. Alexander Kustov |Renewable Energy
| Best Researcher Award

 

Assistant professor at. Lomonosov Moscow State University, Department of Chemistry, Russia.

Dr. Alexander Kustov is a distinguished Russian chemist specializing in heterogeneous catalysis and nanomaterials. Born on June 1, 1987, he is an Assistant Professor and senior researcher affiliated with Moscow State University (MSU) and the N.D. Zelinsky Institute of Organic Chemistry. With a Scopus Hirsch Index of 25 and 136 Scopus-indexed publications, his research focuses on catalytic oxidation, hydrogenation, and CO₂ conversion. He has contributed to numerous national research projects and led initiatives on sustainable energy and green chemistry. His groundbreaking work has earned him prestigious awards, including the Moscow Government Prize and the Innovator of Moscow award. His expertise in catalysis and environmental chemistry positions him as a leader in sustainable chemical research.

🌍 Professional Profile:

Scopus

Orcid

🏆 Suitability for the Best Researcher Award

 

Dr. Alexander Kustov is a highly accomplished researcher whose contributions to catalysis and nanomaterials have had a significant scientific and environmental impact. His pioneering work in CO₂ conversion, catalytic oxidation, and green chemistry has resulted in 136 Scopus-indexed publications and a Scopus H-index of 25. He has successfully led and participated in numerous government-funded research projects, developing innovative catalysts for sustainable energy applications. His recognition with the Moscow Government Prize and the Innovator of Moscow award highlights his excellence in research. Dr. Kustov’s ability to bridge fundamental chemistry with practical applications makes him a deserving candidate for the Best Researcher Award, recognizing his influential contributions to science and technology.

🎓 Education 

Dr. Alexander Kustov earned a Specialist degree in Chemistry from Moscow State University (MSU) in 2009, specializing in Physical Chemistry. His thesis, titled “Cobaltates of lanthanum LaCoO3 deposited on mesoporous matrices: synthesis, physicochemical and catalytic properties,” was supervised by Prof. Romanovsky B.V. He then pursued doctoral studies at the N.D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences (RAS), obtaining his Ph.D. in 2013. His dissertation, supervised by Prof. Bogdan V.I., focused on “Heterogeneous catalytic oxidation of aromatic compounds, cyclohexane, and dimethyl ether under supercritical conditions.” His academic background has provided a strong foundation in catalysis, nanotechnology, and environmental chemistry, enabling him to contribute significantly to sustainable chemical processes.

🏢 Work Experience 

Dr. Alexander Kustov has extensive research experience in catalysis and nanomaterials. From 2004 to 2009, he was a student researcher at Moscow State University’s “Kinetics and Catalysis” laboratory. He then worked as a research engineer at the N.D. Zelinsky Institute of Organic Chemistry (2009–2013), focusing on heterogeneous catalysis and supercritical fluid processes. Since 2013, he has been a researcher at the same institute and a senior researcher at Moscow State University’s Laboratory of Environmental Chemistry. In 2015, he joined the National Research Technological University “MISiS” as a senior researcher at the Laboratory of Nanochemistry and Ecology. His career is marked by leadership roles in key research projects on CO₂ utilization, catalytic processes, and nanomaterials.

🏅 Awards and Honors 

Dr. Alexander Kustov has been recognized for his outstanding contributions to catalysis and environmental chemistry. In 2022, he received the Moscow Government Prize for advancements in energy efficiency and conservation. In 2023, he won the Innovator of Moscow award for his groundbreaking research in ecology and environmental protection. He has also played key roles in multiple research projects funded by RFBR, RCF, and MISiS, contributing to cutting-edge developments in catalysis, nanomaterials, and CO₂ conversion. His work in sustainable chemistry and novel catalytic systems has established him as a leading scientist in his field, earning him national and international recognition for his contributions to green chemistry and sustainable industrial processes.

🔬 Research Focus 

Dr. Alexander Kustov’s research focuses on heterogeneous catalysis, nanomaterials, and sustainable chemical processes. His expertise includes hydrogenation, dehydrogenation, oxidation reactions, adsorbents, and supercritical fluid chemistry. He has made significant contributions to the conversion of CO₂ into valuable chemical products, carbon dioxide gasification, and biomass utilization. His projects emphasize green chemistry, nanocatalysts, and hybrid materials for sustainable energy applications. Dr. Kustov has also worked extensively on structured nanoscale catalysts, hybrid nanomaterials, and advanced oxidation processes. His research combines fundamental chemical principles with practical applications to address environmental challenges, including carbon capture, energy efficiency, and pollution reduction. His work continues to shape the future of sustainable catalysis and green chemical processes.

📊 Publication Top Notes:

  • Finashina, E.D., Tkachenko, O.P., Kartavova, K.E., Tolkachev, N.N., & Kustov, L.M. (2025). Influence of the Rh Nanoparticle Size and Rh Precursor Nature on Decalin Ring Opening over Rh/Al2O3 Catalysts. Catalysis Letters.

  • Tedeeva, M.A., Mashkin, M.Y., Baybursky, V.L., Kustov, L.M., & Kustov, A.L. (2025). Effect of Chromium Precursor on the Catalytic Behavior of Chromium Oxide Catalysts in Oxidative Propane and Isobutane Dehydrogenation with Carbon Dioxide. Catalysts.

  • Zemlianskii, P.V., Kustov, A.L., Timofeeva, M.N., & Kustov, L.M. (2025). Microwave Irradiation as an Instrument for Tuning of Physicochemical and Catalytic Properties of MFe2O4 Spinels. [No source information available].

  • Makova, A., Tkachenko, O.P., Kapustin, G.I., Ter-Akopyan, M.N., & Kustov, L.M. (2025). Influence of the Ferrierite Zeolite Synthesis Method on Physicochemical and Catalytic Characteristics in the N2O Decomposition Reaction. Arabian Journal for Science and Engineering.

  • Kuz’micheva, G.M., Domoroshchina, E.N., Kravchenko, G.V., Kustov, A.L., & Dorokhov, A.V. (2025). Preparation, Composition, Catalytic Properties of MFI-Type Zeolite Solid Solutions Hx[Al3+x Ti4+ySi4+12−x-yO24] with Al (x < 0.06) and Ti (y < 0.13) Content. Journal of Porous Materials.

  • Medvedev, A.A., Beldova, D.A., Nizameev, I.R., Kustov, A.L., & Kustov, L.M. (2025). Carbon Dioxide-Assisted Gasification of Fresh and Pyrolysis Residues of Macadamia F. Muell Nutshells: The Catalytic Properties of Na, K, and Co. Catalysts.

  • Zemlianskii, P.V., Morozov, D.V., Kapustin, G.I., Kustov, A.L., & Kustov, L.M. (2025). Correlations Between Synthetic Conditions and Catalytic Activity of LaMO3 Perovskite-Like Oxide Materials (M: Fe, Co, Ni): The Key Role of Glycine. ChemPhysMater. (1 citation).

  • Evdokimenko, N.D., Vikanova, K.V., Bazlov, A.I., Kustov, L.M., & Kustov, A.L. (2024). Effect of the Nature of Iron Precursors on the Activity of Fe-Containing Catalysts in CO2 Conversion. Applied Catalysis A: General.

  • Batkin, A.M., Tedeeva, M.A., Kalmykov, K.B., Beletskaya, I.P., & Kustov, A.L. (2024). Producing Methanol from CO2 on Cu–Zn-Catalyst on Commercial Supports: Effect of the Support and Conditions of the Reaction. Russian Journal of Physical Chemistry A.

Kaan Koçali | Occupational Health and Safety | Best Researcher Award

Posted on by Engineering Scientist

Assist. Prof. Dr. Kaan Koçali |Occupational Health and Safety| Best Researcher Award

 

Assist. Prof. Dr. Kaan Koçali  , Istanbul Gelisim University Turkey .

Dr. Kaan Koçali is a distinguished academic and researcher specializing in occupational health and safety, mining engineering, and industrial risk management. Currently serving as a Doctor Lecturer at Istanbul Gelişim University, he has made significant contributions to safety regulations and technological advancements in the mining industry. With multiple Best Researcher Awards, Dr. Koçali has played a key role in pioneering research on legal responsibilities in mining supervision and software-based compliance systems. His expertise spans project management, innovation-driven mining technologies, and industrial safety frameworks. He is actively involved in national and international research collaborations, bringing practical solutions to industry challenges. His work continues to influence academia and industry, ensuring safer mining practices and compliance with evolving safety regulations.

🌍 Professional Profile:

Google scholar 

🏆 Suitability for the Best Researcher Award

 

Dr. Kaan Koçali is an exceptional candidate for the Best Researcher Award, owing to his pioneering research in occupational safety and mining engineering. His doctoral work on legal responsibilities in mining supervision has significant industry implications, improving regulatory compliance and workplace safety. With multiple international Best Researcher Awards, he has demonstrated academic excellence and innovation. His leadership in projects funded by KOSGEB, TÜBİTAK, and the European Union showcases his commitment to technological advancements in safety systems. As an expert in mining risk management, legal compliance, and industrial safety protocols, his work has influenced academia, policy-making, and industrial applications. His strong publication record, funded research, and technological contributions make him a highly deserving recipient of this prestigious award.

🎓 Education 

Dr. Kaan Koçali holds a Ph.D. in Occupational Health and Safety from Istanbul Aydın University (2021), where he focused on legal responsibilities in mining and compliance software systems. He also earned a Master’s degree in Mining Engineering (2016) from Istanbul University, studying the effects of boron compounds in solar panels. Additionally, he completed a Master’s in Occupational Health and Safety (2016) from Istanbul Aydın University and two bachelor’s degrees—one in Mining Engineering (2011) from Istanbul University and another in Business Administration (2022) from Anadolu University. He also holds a scholarship-funded Bachelor’s degree in Entrepreneurship (2020) from Istanbul Kültür University. His interdisciplinary education provides a unique perspective on workplace safety, risk assessment, and industrial innovation.

🏢 Work Experience 

Dr. Kaan Koçali is currently a Doctor Lecturer at Istanbul Gelişim University, where he teaches occupational safety regulations, hazardous materials management, and fire safety. He has led multiple high-impact national and international research projects on mining safety, supported by KOSGEB, TÜBİTAK, and EU programs. As a project director and researcher, he has developed risk management software, industrial safety models, and compliance frameworks for the mining sector. His industry collaborations include regulatory advisory roles, industrial consulting, and safety training programs. Additionally, he serves on academic quality committees, contributing to curriculum development and research excellence. His extensive expertise in safety innovation, policy analysis, and industrial engineering makes him a key figure in occupational health and mining safety advancements.

🏅 Awards and Honors 

Dr. Kaan Koçali has received multiple international awards recognizing his contributions to research and occupational safety. He was awarded the Best Researcher Award at the International Research Awards on Science, Health, and Engineering (2022, 2023) and the Top Researcher Award at the International Conference on Cybersecurity and Cryptography (2023) in India. His excellence in mining engineering was recognized with the Second Place Award in Mining Engineering (2011) from Istanbul University-Cerrahpaşa. His pioneering work in risk assessment, safety regulations, and industrial engineering has been acknowledged in various academic and industry forums. Through cutting-edge research, policy recommendations, and technological advancements, Dr. Koçali has significantly contributed to enhancing workplace safety and regulatory compliance.

🔬 Research Focus 

Dr. Kaan Koçali’s research centers on occupational health and safety, mining risk management, industrial safety technologies, and legal compliance in hazardous work environments. His doctoral research focused on developing software-based compliance systems for mining supervisors under Turkish Law (3213 & 6331). He has explored advanced safety monitoring, hazard identification, and regulatory frameworks to reduce workplace accidents. His work integrates AI-driven risk assessment tools, mining automation, and industrial safety protocols. He has led research projects on mine sector consultancy, water jet drilling, and performance monitoring systems. His interdisciplinary approach merges engineering, legal analysis, and technological innovation, ensuring safer industrial practices. His research directly influences policy development, industrial best practices, and academic advancements in safety and mining sciences

📊 Publication Top Notes:

  • Koçali, K. (2023). The Effects of Daylight Saving Time (DST) Transition Cancelation on Work Accidents of Turkey. International Journal of Occupational Safety and Ergonomics, 29(4), 1542-1551.

  • Koçali, K. (2022). How to Perform a Risk Assessment Step by Step for Occupational Health and Safety. EURAS Journal of Engineering and Applied Sciences, 2(1), 1-19.

  • Koçali, K. (2022). Bölgesel Kalkınma Alanlarının İş Sağlığı ve Güvenliği Performans Analizi. İstanbul Aydın Üniversitesi Sosyal Bilimler Dergisi, 14(3), 381-405.

  • Koçali, K. (2022). Perspective on Child Labor Situation in Terms of Occupational Health and Safety: The Case of Turkey. Journal of Human and Social Sciences, 5(2), 126-151.

  • Koçali, K. (2021). Sosyal Güvenlik Kurumu’nun 2012-2020 Yılları Arası İş Kazaları Göstergelerinin Standardizasyonu. Akademik Yaklaşımlar Dergisi, 12(2), 302-327.

  • Koçali, K. (2021). Calculation of Occupational Accident Indicators of Türkiye. INSAC Social and Education Sciences, 222, 222-250.

  • Koçali, K. (2021). Türkiye’de 2017 Yılında Yaşanan Kömür Madeni Faciası Sonrası Sektörün İş Sağlığı ve Güvenliği Açısından İrdelenmesi. The Journal of Academic Social Science, 95(95), 486-496.

  • Koçali, K. (2021). 6331 Sayılı İş Sağlığı ve Güvenliği Kanunu Sonrası Lisansüstü Tezlerin Değerlendirilmesi. Hastane Öncesi Dergisi, 7(1), 63-80.

  • Koçali, K. (2018). Açık Ocak Maden İşletmelerinde İşçi Anketleri ile İş Sağlığı ve Güvenliği Kültürü ve Uygulamasının Araştırılması. Bilimsel Madencilik Dergisi, 57(1), 15-24.

  • Koçali, K., & Erçetin, R. (2021). Legal Regulations Regarding Liabilities of Workers and Employers Related to Occupational Health and Safety in Mining. 3. Ulusal Başkent Disiplinler Arası Bilimsel Çalışmalar Kongresi, 357-358.

  • Koçali, K., & Erçetin, R. (2021). Fault Detection In Mining Work Accidents. 6. Uluslararası Bilimsel Araştırmalar Kongresi.

  • Koçali, K., & Erçetin, R. (2021). Rödovanslı Maden Sahalarında İş Sağlığı ve Güvenliği Sorumlulukları. Karadeniz Zirvesi 5. Uluslararası Sosyal Bilimler Kongresi, 121.

  • Çalış, S., Çalış, Ç., Koçali, K., & Büyükakıncı, B.Y. (2021). 18-65 Yaş Arası Kişilerin Antropometrik Verilerinin Belirlenmesi Üzerine Bir Alan Araştırması: Yükseköğretim Kurumu Uygulaması. Ergonomi, 4(3), 147-161.

  • Koçali, K. (2019). Yetkilendirilmiş Tüzel Kişiler (YTK) Yönetmeliği Işığında Madencilikte Proje Şirketlerinin Önemi. The Journal of Academic Social Science, 66(66), 564-570.

Elahe Karampour | Artificial Intelligence | Best Researcher Award

Posted on by Engineering Scientist

Ms. Elahe Karampour | Artificial Intelligence| Best Researcher Award

 

Ms. Elahe  Karampour  K.N.Toosi University Of Technology, Iran

Elahe Karampour is a dedicated researcher specializing in Geodesy and Geomatics Engineering with a focus on spatial-temporal data analysis and network science. She is currently pursuing her Master of Science at K.N. Toosi University of Technology, Tehran, Iran, with a thesis on analyzing location-based social networks using geometric curves. She has served as a research assistant, contributing to advancements in community detection and link prediction in spatial networks. Elahe is also an experienced educator, having taught GIS, spatial databases, and social network analysis. She has received national recognition for her academic excellence and was awarded a fully funded research visit to ScaDS.AI in Germany. Her expertise spans programming, spatial modeling, and AI-driven geospatial analytics.

🌍 Professional Profile:

Orcid

🏆 Suitability for the Best Researcher Award

 

Elahe Karampour is an outstanding researcher with significant contributions to geospatial data analysis, particularly in network science and location-based social networks. Her pioneering research integrates Ricci curvature and hyperbolic geometry for community detection and link prediction, leading to novel advancements in spatial-temporal modeling. She has published influential research in high-impact journals, demonstrating her expertise and innovation. Elahe’s research excellence is further recognized through a prestigious fully funded research visit to ScaDS.AI in Germany. With strong technical proficiency in R, Python, PostgreSQL, and GIS software, she bridges theory and application, developing intelligent recommender systems for urban planning. Her exceptional academic record, teaching excellence, and innovative research make her a prime candidate for the Best Researcher Award.

🎓 Education 

Elahe Karampour holds a Master of Science in Geodesy and Geomatics Engineering from K.N. Toosi University of Technology, Tehran, Iran (2021–2024). Her research focuses on spatial-temporal data analysis and social network modeling, with a thesis titled “Analysis of Location-Based Social Networks with Geometric Curves,” receiving a perfect grade of 20/20. She completed her Bachelor of Science in Geodesy and Geomatics Engineering at the University of Zanjan, Iran (2015–2020). Elahe ranked 23rd nationwide in the Iranian Master’s University Entrance Exam, showcasing her academic excellence. Her strong analytical and technical skills, coupled with expertise in GIS, AI, and network analysis, enable her to make significant contributions to the field of geospatial research and urban data science.

🏢 Work Experience 

Elahe Karampour has extensive research and teaching experience in geospatial data analysis and network science. As a Research Assistant (2022–2024) at K.N. Toosi University of Technology, she developed advanced models for community detection and link prediction in location-based social networks using geometric methods. She also worked as a Lecturer (2024) at Babol Noshirvani University of Technology, teaching spatial analysis and visualization to undergraduate students. Additionally, she served as a Teaching Assistant (2023–2024), guiding master’s and PhD students in GIS, social network analysis, and spatial databases. Her technical expertise in R, Python, PostgreSQL, and QGIS, combined with her ability to integrate AI with geospatial analysis, has positioned her as a leader in her research domain.

🏅 Awards and Honors 

Elahe Karampour has received multiple accolades for her academic and research excellence. She ranked 23rd nationwide in the Iranian Master’s University Entrance Exam (2021), demonstrating her strong academic foundation. She was awarded a fully funded research grant for a short-term visit to ScaDS.AI Center for Scalable Data Analytics and Artificial Intelligence in Germany (2023), recognizing her contributions to AI-driven geospatial analysis. Additionally, she was listed among the top-ranked teachers by her students for her exceptional teaching performance. Her work in network science and geospatial modeling has led to publications in high-impact journals, further cementing her status as a leading researcher. These achievements underscore her dedication and outstanding contributions to the field of geospatial and network science.

🔬 Research Focus 

Elahe Karampour’s research centers on spatial-temporal data analysis, network science, and AI-driven geospatial modeling. She specializes in analyzing location-based social networks using advanced mathematical frameworks such as Ricci curvature and hyperbolic geometry for community detection and link prediction. Her work integrates graph-based modeling with GIS technologies to enhance urban planning, mobility analysis, and personalized recommender systems. Elahe has developed innovative approaches to analyzing complex data structures, utilizing machine learning and AI techniques for geospatial applications. She is particularly interested in the intersection of mathematics, computer science, and geospatial technologies, aiming to create data-driven solutions for urban analytics and smart city development. Her research has been recognized internationally, reinforcing her expertise in geospatial data science.

📊 Publication Top Notes:

  • Karampour, E., Malek, M.R., & Eidi, M. (2025). Discrete Ricci flow: A powerful method for community detection in location-based social networks. Computers and Electrical Engineering, 123, 110302.