Mohammad Neshati | Electrical Engineering | Best Researcher Award

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

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

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

Publication Profile

Orcid

Education

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

Experience

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

Awards and Honors

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

Research Focus

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

Publication Top Notes

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

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

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

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

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

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

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

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

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

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

Mojtaba Hajiabadi | Electrical Engineering | Best Researcher Award

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

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

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

Publication Profile

Google Scholar

Academic Background🎓

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

Professional Background💼

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

Awards and Honors🏆

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

Research Focus🔬

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

Publication Top Notes

🔹 Recursive Maximum Correntropy Learning Algorithm with Adaptive Kernel Size

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

🔹 Adaptive Multitask Network Based on Maximum Correntropy Learning Algorithm

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

🔹 Cooperative Spectrum Estimation Over Large‐Scale Cognitive Radio Networks

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

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

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

Conclusion

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

 

Bilal Elhajjar | Engineering | Industry Impact Academic Award

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Dr. Bilal Elhajjar | Engineering | Industry Impact Academic Award

Process Engineering & Development Manager at United Steel Industrial Co, Kuwait

Dr. Bilal Elhajjar is a seasoned engineering professional and academic with over 18 years of experience in the steel and energy industries. He specializes in process engineering, logistics optimization, hydrogen management, and supply chain strategies. As the Process Engineering, Development, and Logistics Manager at KWTSTEEL, he has led over 1000 projects, including steel plant revamps, cost reduction initiatives, and feasibility studies. His expertise spans project management, industrial research, and technical leadership, saving his company approximately $1 million annually through optimized logistics. Academically, he holds a PhD in Fluid Mechanics and has contributed to cutting-edge research in nanofluidics, heat transfer, and industrial process modeling, with multiple high-impact publications. Previously, he served as an Assistant Professor and postdoctoral researcher, bridging academia and industry. His multidisciplinary knowledge and leadership in both industrial and academic settings make him a distinguished figure in engineering and applied research.

Professional Profile

Education 🎓

Dr. Bilal Elhajjar holds a PhD in Fluid Mechanics and Heat and Mass Transfer from the University of Toulouse, where he graduated with the highest honors. He also earned a MicroMaster in Supply Chain Management from the Massachusetts Institute of Technology (MIT) in 2022. His academic journey includes a Master’s degree in Fluid Dynamics and Heat Transfer from the University of Toulouse, where he was the valedictorian, and a Bachelor’s degree in Engineering from the Lebanese University, also graduating as valedictorian. He has further specialized in renewable energy, earning Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. Additionally, he is a certified Hydrogen Energy Consultant Expert. Dr. Elhajjar has continuously enhanced his expertise through certifications in contract law (Harvard University), project management, and advanced quality techniques, equipping him with a strong foundation in both engineering and business management.

Experience 🌟

Dr. Bilal Elhajjar has over 18 years of professional experience spanning the steel, energy, and academic sectors. Since 2012, he has served as the Process Engineering, Development, and Logistics Manager at KWTSTEEL, where he has led over 1000 projects, optimizing supply chain operations, reducing costs, and enhancing plant efficiency. His expertise includes feasibility studies, process control, and commissioning steel plants and equipment. Prior to this, he was an Assistant Professor at the University of Evry Val d’Essonne, where he developed engineering courses and collaborated with industries on applied research projects. He also worked as a postdoctoral researcher at the University of Toulouse, contributing to nanofluidics and heat transfer studies. His career includes research stints at the University of Calgary and collaborations with Airbus and Gaztransport. With a strong blend of industrial leadership and academic research, Dr. Elhajjar has significantly contributed to engineering advancements and operational excellence.

Research Interests 🔬

Dr. Bilal Elhajjar’s research interests span fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. His work focuses on enhancing efficiency in energy-intensive industries, particularly in steel manufacturing and hydrogen management. He has conducted extensive research on heat transfer modeling, separation of fluid mixtures, and the application of nanotechnology to improve thermal properties of fluids. His studies on Soret-driven convection and thermo-gravitational separation have contributed to advancements in porous media research. Additionally, he has explored hydrogen energy applications, sustainable industrial practices, and supply chain optimization. His research bridges academia and industry, applying scientific principles to real-world engineering challenges, including logistics efficiency and cost reduction in manufacturing. With numerous high-impact publications, Dr. Elhajjar continues to advance knowledge in energy systems, process engineering, and sustainable industrial solutions, making significant contributions to both theoretical research and practical industry applications.

Awards 🏆

Dr. Bilal Elhajjar has been recognized for his outstanding contributions to engineering, research, and industrial process optimization. He graduated as the valedictorian in both his Bachelor’s and Master’s degrees, reflecting his academic excellence. His PhD in Fluid Mechanics from the University of Toulouse was awarded with the highest honors, acknowledging his pioneering research in heat transfer and fluid dynamics. Throughout his career, he has received various professional certifications and recognitions, including Galileo Master Certificates in Hydrogen Energy and Renewable Energy Management & Finance from the Renewable Energy Institute. His innovations in steel manufacturing and logistics optimization, which saved approximately $1 million annually, have positioned him as a leader in industrial process improvement. Additionally, he has been a visiting researcher at the University of Calgary and has collaborated with global organizations like Airbus and Gaztransport. His contributions continue to earn him recognition in both academic and industrial circles.

Research Skill  🔍 

Dr. Bilal Elhajjar possesses exceptional research skills in fluid mechanics, heat and mass transfer, nanofluidics, hydrogen energy, and industrial process optimization. He excels in numerical modeling, computational simulations, and experimental analysis, applying advanced methodologies to solve complex engineering challenges. His expertise includes finite element analysis, thermal modeling, and process simulation, which he has utilized in industrial research and academic studies. He has conducted groundbreaking research on Soret-driven convection, thermo-gravitational separation, and nanotechnology applications in heat transfer, leading to multiple high-impact publications. Dr. Elhajjar is adept at conducting feasibility studies, analyzing industrial processes, and optimizing supply chains, integrating research-driven strategies to enhance operational efficiency. His ability to bridge theoretical research with practical industry applications makes him a valuable contributor to both academia and engineering fields. With strong analytical, problem-solving, and technical writing skills, he continues to innovate in energy management, sustainable manufacturing, and process improvement.

Conclusion 

Dr. Bilal Elhajjar is a strong candidate for the Industry Impact Academic Award due to his extensive industrial expertise, leadership in engineering projects, and research contributions. His ability to bridge academia and industry is commendable, especially in process optimization, logistics, and hydrogen management. Strengthening the direct link between research and industry-wide impact could further enhance his application. Overall, his credentials align well with the award’s objectives.

Top Noted Publications 📚

  • Author(s): Bilal Elhajjar, Mohamed Samir Larhrib, Davide Mombelli

  • Year: 2025

  • Title: Consequences of Switching From Lime to Dololime Fines Injection in Electric Arc Furnace

  • Journal: Engineering Reports

  • DOI: 10.1002/eng2.70095

  • Type: Journal Article

  • Publication Date: March 2025

Gang Li | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Gang Li | Mechanical Engineering | Best Researcher Award

Associate professor, Northeast Electric Power University, China

🔬 Assoc. Prof. Dr. Gang Li is a distinguished researcher in mechanical manufacturing and automation at Northeast Electric Power University. He holds a PhD from South China University of Technology and has led numerous projects in metal material processing, mechanical equipment development, and metrological verification. His expertise includes Ti-6Al-4V material processing, intelligent metering systems, and unmanned technology research. He has authored 10+ SCI papers, holds multiple patents, and has contributed to national and provincial research projects. Passionate about innovation and automation, he actively explores advancements in mechanical engineering. ✨🔧📡

 

Publication Profile

Scopus

🎓 Educational Background

Assoc. Prof. Dr. Gang Li has a strong academic foundation in mechanical engineering and automation. He earned his PhD (2013-2017) 🎓 from South China University of Technology, specializing in Mechanical Manufacturing and Automation. Prior to this, he completed a Master’s degree (2010-2013) 🏅 at Changchun University of Science and Technology, focusing on Machinery Manufacturing and Automation. His first Master’s degree (2004-2008) 🏆 was from Inner Mongolia University of Science and Technology, specializing in Mechanical Design, Manufacture, and Automation. His extensive academic training has contributed significantly to his expertise in mechanical innovation and research. 🔧📡

🔬 Project Experience

Assoc. Prof. Dr. Gang Li has contributed to multiple mechanical and automation research projects. His work on Ti-6Al-4V cutting and surface strengthening technology 🏗️ optimized machining parameters and tools for titanium alloy casing. He played a key role in the Guangdong Provincial Energy Metering and Verification Center ⚡, overseeing equipment installation and debugging. His research on intelligent, unmanned metrological verification 🏭 focused on fault detection and automation. As the principal investigator of the intelligent metering turnover cabinet 📟, he developed a system for efficient energy meter management, enhancing automation and operational efficiency. 🔧🚀

🔬 Research Focus

Assoc. Prof. Dr. Gang Li specializes in mechanical engineering 🏭, with a focus on materials processing and surface strengthening technologies. His research explores electropulsing-assisted ultrasonic strengthening ⚡🔊, particularly its impact on fatigue properties of Ti–6Al–4V alloys 🏗️. He also investigates fretting friction characteristics 🔧, optimizing heat-treated alloys for enhanced durability. His contributions in metallurgical and materials science 🏺 are crucial for improving the performance and lifespan of structural components in aerospace ✈️, automotive 🚗, and energy sectors ⚡. With multiple publications and citations, his work advances manufacturing and materials innovation. 🚀

Publication Top Notes

Effect of Electropulsing-Assisted Ultrasonic Strengthening on Fatigue Properties of HIP Ti–6Al–4V Alloy

Study on surface fretting friction properties of heat-treated HIP Ti-6Al-4 V alloy after heating-assisted ultrasonic surface strengthening

Nurdaulet Bakytuly | Geotechnical Engineering | Young Scientist Award

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Mr. Nurdaulet Bakytuly | Geotechnical Engineering | Young Scientist Award

Laboratory Technician, Nazarbayev University, Kazakhstan

Nurdaulet Bakytuly (b. 2000) is a dedicated researcher in Geotechnical Engineering, focusing on expansive soil behavior and unsaturated soil theory for infrastructure resilience in Kazakhstan. He holds a BSc (2022) and MSc (2024) in Engineering Systems and Networks from L. N. Gumilyov Eurasian National University. Currently, he serves as a Laboratory Assistant at Nazarbayev University, conducting geotechnical experiments and data analysis. His research contributions include centrifugal pump modeling and green cover systems for slope stabilization. With expertise in BIM software, MATLAB, and geotechnical testing, he is committed to advancing sustainable engineering solutions. 📚🔬✨

Publication Profile

Orcid

Research Interests

Nurdaulet Bakytuly’s research focuses on Geotechnical Engineering, particularly in expansive soil behavior and its impact on infrastructure in Kazakhstan. He explores innovative mitigation strategies to minimize soil-induced structural damage, ensuring stability and longevity. His work also delves into the application of unsaturated soil theory, developing adaptive solutions for geotechnical challenges in diverse climatic conditions. By integrating advanced modeling techniques and experimental approaches, he aims to enhance sustainable engineering practices. His research contributes to improving soil stabilization methods, optimizing construction materials, and advancing geotechnical resilience. 🔬🏢💡

 

Education

Nurdaulet Bakytuly pursued his academic journey at L. N. Gumilyov Eurasian National University in Astana, Kazakhstan, specializing in Engineering Systems and Networks. He earned his Bachelor’s degree (2018-2022) with a thesis on designing a heating and ventilation system for a 1,000-student school building, tailored to the climatic conditions of Kokshetau. Continuing his passion for engineering, he is completing his Master’s degree (2022-2024), focusing on the design and modeling of domestic centrifugal pumps. His academic work integrates sustainable infrastructure solutions with innovative mechanical designs, contributing to modern engineering advancements. 📚🔧🏢

 

Research Focus

Nurdaulet Bakytuly’s research spans Geotechnical Engineering and Fluid Mechanics, with a focus on slope stabilization and hydraulic system optimization. His work on green cover systems explores sustainable soil stabilization methods, improving land resilience against erosion and instability. Additionally, his research on domestic centrifugal pump design applies the Taguchi method to enhance efficiency and performance in fluid mechanics. By integrating geotechnical solutions with engineering innovations, he contributes to infrastructure sustainability, environmental protection, and optimized hydraulic systems. His interdisciplinary approach bridges soil mechanics, sustainability, and mechanical systems for better engineering outcomes. 🔬🌍💡

Publication Top Notes

Harnessing Green Cover Systems for Effective Slope Stabilization in Singapore

Design optimization of a domestic centrifugal pump using Taguchi Method

 

 

 

 

Muhammet Sari | Civil engineering | Best Researcher Award

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Mr. Muhammet Sari | Civil engineering | Best Researcher Award

Mr. Muhammet Sari, Recep Tayyip Erdoğan University, Turkey

Mr. Muhammet Sari is a dedicated researcher and Ph.D. candidate at Recep Tayyip Erdoğan University, specializing in Civil Engineering. With a strong academic background, including a master’s degree (GPA: 3.56/4.00) and a bachelor’s degree (GPA: 3.82/4.00), his research interests span cemented paste backfill technology, mine waste management, geotechnics, and the reuse of industrial and agricultural waste. He has published numerous articles in top-tier journals, focusing on cemented mine backfills, their properties, and sustainability. Mr. Sari also has valuable industry experience as an R&D engineer. 🌍📚🔬🚧🌱

Publication Profile

Google Scholar

Educational Background 📚🎓

Mr. Muhammet Sari is currently pursuing a Doctorate in Civil Engineering at Recep Tayyip Erdoğan University (2020-present). He completed his Master’s degree in the same field at the same university, achieving a GPA of 3.56/4.00 between 2017 and 2020. Prior to that, he earned his Bachelor’s degree from Karadeniz Technical University, where he graduated with an impressive GPA of 3.82/4.00. His academic journey demonstrates a strong commitment to advancing his expertise in civil engineering, particularly in geotechnics and sustainable construction materials. 🌍💡🚧📘

Professional Experience 💼🔧

Mr. Muhammet Sari currently works as a Research Assistant in the Geotechnical Division at Recep Tayyip Erdoğan University’s Department of Civil Engineering, a position he has held since 2020. During this time, he has contributed to various research projects related to geotechnics and civil engineering. Prior to this role, he served as an R&D Engineer at Dynamic Academy Software Construction Industry Trade Limited Company from 2018 to 2020. His industry experience equipped him with valuable practical skills, enabling him to apply his academic knowledge to real-world engineering challenges. 🏗️🔍📊

Research Interests 🌍🔬

Mr. Muhammet Sari’s research focuses on various critical aspects of civil engineering, including Cemented Paste Backfill Technology, mine waste management, and the re-evaluation of mine waste. His work also delves into Geotechnics, Soil Mechanics, and understanding soil properties and behavior through experiments. He is passionate about soil improvement techniques and the reuse of industrial and agricultural waste in construction materials. Additionally, he applies Finite Element Analysis to assess the structural and geotechnical performance of materials. His research contributes to developing sustainable solutions in civil engineering, with a strong emphasis on waste recycling and soil improvement. 🌱🏗️⚙️

Publications Top Notes

  • Physico-chemical and micro-structural behavior of cemented mine backfill: Effect of pH in dam tailings – T Kasap, E Yilmaz, M Sari, Journal of Environmental Management, 77 citations, 2022 📊
  • Long-term ageing characteristics of cemented paste backfill: Usability of sand as a partial substitute of hazardous tailings – M Sari, E Yilmaz, T Kasap, Journal of Cleaner Production, 61 citations, 2023 ♻️
  • Strength and microstructure evolution in cemented mine backfill with low and high pH pyritic tailings: Effect of mineral admixtures – M Sari, E Yilmaz, T Kasap, NU Guner, Construction and Building Materials, 61 citations, 2022 🏗️
  • Effects of mineral additives and age on microstructure evolution and durability properties of sand-reinforced cementitious mine backfills – T Kasap, E Yilmaz, M Sari, Construction and Building Materials, 54 citations, 2022 🧱
  • Exploring the link between ultrasonic and strength behavior of cementitious mine backfill by considering pore structure – M Sari, E Yilmaz, T Kasap, S Karasu, Construction and Building Materials, 41 citations, 2023 🔬
  • Recycling dam tailings as cemented mine backfill: Mechanical and geotechnical properties – T Kasap, E Yilmaz, NU Guner, M Sari, Advances in Materials Science and Engineering, 35 citations, 2022 ♻️
  • Cementitious backfill with partial replacement of Cu-rich mine tailings by sand: Rheological, mechanical and microstructural properties – NU Guner, E Yilmaz, M Sari, T Kasap, Minerals, 20 citations, 2023 🔄
  • Predicting long-term impact of cementitious mine fill considering sand as a copper-tailings substitution – T Kasap, E Yilmaz, M Sari, S Karasu, Powder Technology, 11 citations, 2023 📈
  • Toward viable industrial solid residual waste recycling: A review of its innovative applications and future perspectives – T Keskin, E Yilmaz, T Kasap, M Sari, S Cao, Minerals, 3 citations, 2024 🌿
  • Cementitious fills with varying sand content as tailings replacement: Links to rheological, mechanical and microstructural properties – T Kasap, E Yilmaz, M Sari, 2023 🏗️

 

 

 

Rebecca Alowo| Engineering | Best Researcher Award

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Dr. Rebecca Alowo| Engineering | Best Researcher Award

Assist. Prof. Dr. Komal Bansal, Dev Samaj College for Women, Affiliated to Panjab University Chandigarh, India, 

Dr. Rebecca Alowo is a distinguished researcher whose work bridges the gap between engineering and societal impact. Her research in sustainable groundwater management and WASH has transformed lives in Uganda and beyond. Her teaching and advocacy roles complement her research, highlighting her as a well-rounded candidate with an excellent balance of academic rigor, leadership, and practical impact.

Publication Profile

Scopus

 Experience:

Dr. Alowo is currently a Lecturer in the Department of Civil Engineering Technology at the University of Johannesburg, where she teaches courses such as Hydraulics, Water Reticulation Design, and Water & Wastewater Engineering. Since 2020, she has integrated innovative online teaching methods and assessment tools. Previously, she served as a lecturer at Central University of Technology, Vaal University of Technology, and the University of Free State, focusing on Strength of Materials and supervising master’s students. She also participated in consultations for the Water Technologies Demonstration Programme and reviewed research for international conferences. During her time at the University of Cambridge, she contributed to sustainable development projects, including the Cornwall Sustainable Development Plan and the evaluation of the Cambridge Guided Busway.

 

Educational :

Dr. Rebecca Alowo earned her Doctor of Engineering in Civil Engineering from the Central University of Technology, Free State, South Africa, where she conducted groundbreaking research on sustainable groundwater management through hydrological parameter modeling in the Modder River Catchment (2016–2021). She completed her Master of Philosophy in Engineering for Sustainable Development at the University of Cambridge, UK (2008–2009), focusing on community water resources management as a driver of development in Uganda. Her academic journey also includes a Post-Graduate Diploma in Project Planning and Management from Uganda Management Institute, Kampala, Uganda (2005–2006), and a Bachelor of Science in Civil Engineering with honors from Makerere University, Kampala, Uganda (1998–2003). Earlier, she excelled in her secondary education at Mt. St Mary’s College Namagunga, earning distinctions in key subjects for both her Uganda Advanced Certificate of Education and Uganda Certificate of Education.

 

Awards & Fellowships:

Dr. Alowo successfully lobbied for the establishment of Uganda’s WASH Parliamentary Forum and was recognized for her contributions to ICT-based solutions in water and sanitation management.

Technical Skills:

Dr. Alowo is proficient in GIS-based Management Information Systems and advanced hydrological modeling tools. She is also skilled in leveraging e-learning platforms such as Blackboard for modern teaching methodologies.

Publication Top Notes:

  • Title: An Investigation on Construction Project Development Planning Delays in South Africa
    • Authors: Nyaga Githae, B.; Hagir, H.; Alowo, R.
    • Year: 2024
    • Citations: 0
  • Title: GIS-based Vulnerability Model Assessment of The Alexandra Jukskei Catchment in South Africa
    • Authors: Gadisi, V.; Alowo, R.; Nkhonjera, G.
    • Year: 2024
    • Citations: 0
  • Title: Apps for Monitoring of Hydrological Parameters in the Alexandra Jukskei Catchment in South Africa
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2024
    • Citations: 0
  • Title: Understanding Land Use Planning and Sustainable Development from the Perspective of Smart Groundwater Monitoring
    • Authors: Kubuya, A.K.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Pollution in the Urban Environment: A Research on Contaminated Groundwater in the Aquifers Beneath the Qoboza Klaaste (QK) Building at University of Johannesburg in South Africa
    • Authors: Patience, D.; German, N.; Jeffrey, M.; Alowo, R.
    • Year: 2023
    • Citations: 0
  • Title: A Modelling Framework for Groundwater Sustainability in the Upper Orange Catchment of South Africa
    • Author: Alowo, R.
    • Year: 2023
    • Citations: 0
  • Title: Characterisation of Local Borehole Water within the Platinum Belt in Mokopane, Limpopo, Republic of South Africa
    • Authors: Weber, M.E.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Implementing a Groundwater Monitoring System in the Jukskei River Catchment: A TypeScript and MySQL Approach
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: The Development of an Application for Groundwater Management in Jukskei River Catchment of South Africa
    • Authors: Achiro, D.; Alowo, R.; Nkhonjera, G.
    • Year: 2023
    • Citations: 0
  • Title: Apps for Smart Groundwater Monitoring and Assessments: A Case Study of Regideso Catchment in Kimbanseke
    • Authors: Kabuya, A.K.; Alowo, R.; Nkhonjera, G.K.
    • Year: 2022
    • Citations: 0

Conclusions:

Dr. Alowo is a strong candidate for the “Best Researcher Award.” Her ability to translate research into actionable solutions, particularly in underprivileged communities, sets her apart. With further enhancement of her publication record and expansion of global collaborations, she could be a leading figure in sustainable development research worldwide

Junshu Zhang | Engineering | Best Researcher Award

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Dr. Junshu Zhang | Engineering | Best Researcher Award

Dr. Junshu Zhang, Huazhong University of Science and Technology, China

Dr. Junshu Zhang specializes in structural health monitoring and flexible electronics. His research focuses on improving sensor systems, including recognizing bolt loosening and developing mechanical models for flexible sensors. He has contributed to strain transfer models that predict sensor properties and eliminate environmental factors. With 7 ongoing research projects, 3 patents, and 4 published journal articles, Dr. Zhang is a key innovator in his field. He holds professional membership with the Chinese Society for Vibration Engineering. 🌐

Publication Profile

Scopus

Academic and Professional Background

Dr. Junshu Zhang is a prominent researcher specializing in structural health monitoring and flexible electronics. His work focuses on advancing sensor technologies, particularly in the recognition of bolt loosening and the development of mechanical models for flexible sensors. By establishing strain transfer models, Dr. Zhang aims to predict sensor properties and eliminate the influence of environmental and material factors. With 7 ongoing research projects, 3 patents, and several published journal articles, he is making significant contributions to the field. He is a member of the Chinese Society for Vibration Engineering. 🌐

 

Research Focus 🧑‍🔬

Dr. Junshu Zhang’s research primarily focuses on structural health monitoring and flexible electronics, with a strong emphasis on developing innovative sensor technologies. His work includes bolt preload impact modulation, improving the strain transfer model for flexible sensors, and enhancing measurement calibration for piezoresistive sensors. He has contributed to the design of graphene nanoplatelets-based strain sensors and non-uniform shear stress models to improve sensor accuracy. These efforts aim to optimize sensor performance in structural monitoring systems and flexible electronics. Dr. Zhang’s contributions are central to the advancement of sensor mechanics and sensor applications. 📊📐

 

Publication Top Notes

  • Cointegration-based impact modulation for bolt preload under the influence of percussion force (2024) 🔧
  • Measurement Calibration of Flexible Piezoresistive Sensors Based on Strain Transfer Model Accounting for Coating Effect (2024) 📏
  • Graphene Nanoplatelets/Polydimethylsiloxane Flexible Strain Sensor with Improved Sandwich Structure (2024) 🛠️ – Cited by 2
  • Improved strain transfer model for flexible sensors based on non-uniform distribution of shear stress in each layer (2024) 📐 – Cited by 2

Kiran Bhaskar | Engineering | Best Researcher Award

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Dr. Kiran Bhaskar | Engineering | Best Researcher Award

Controls Engineer, Wabtec Corporation, United States

Dr. Kiran Bhaskar is an accomplished researcher and engineer specializing in battery systems and electrification. Holding a Ph.D. and M.S. in Mechanical Engineering from Pennsylvania State University (GPA 3.98/4), he has contributed significantly to the modeling, fault detection, and optimization of lithium-ion battery systems. Dr. Bhaskar has co-authored impactful publications in Applied Energy and IEEE Transactions on Transportation Electrification. As a Controls Engineer at Wabtec Corporation, he focuses on energy management for hybrid locomotives. With extensive technical expertise in MATLAB, Simulink, and Python, he excels in developing innovative solutions for sustainable energy and transportation systems. 🚆🔋

Publication Profile

Orcid

Google Scholar

🎓 Academic Journey

Dr. Kiran Bhaskar has a distinguished academic background in mechanical engineering. He pursued his PhD and MS at The Pennsylvania State University, University Park, PA (2019–2024), achieving an impressive GPA of 3.98/4. Earlier, he graduated from the Indian Institute of Technology (IIT) Madras with a B.Tech (Hons) in Mechanical Engineering and a Minor in Operations Research (2013–2018), along with an M.Tech in Thermal Engineering, earning a GPA of 8.7/10. Additionally, he broadened his horizons through a semester abroad at Czech Technical University, Prague (2017). His academic excellence reflects his dedication to engineering research and innovation. 📚🌟

 

🔬 Academic Research Experience

Dr. Kiran Bhaskar has extensive research experience in battery systems and energy optimization. At Pennsylvania State University, he developed models for parallel cell degradation, proposing a novel capacity-resistance matching strategy to enhance battery pack performance and minimize aging. His work includes fault detection through Lyapunov-based observers and real-time diagnosis schemes for internal short circuits. He also pioneered data-driven sensor reconstruction techniques, anomaly detection algorithms using PCA, and coupled SoC and SoH estimation for Li-ion batteries. Additionally, he optimized energy management in hybrid-electric locomotives and studied emissions reduction through injection parameter optimization during his tenure at IIT Madras. ⚡🔋📊

 

🌟 Industry Research Experience

Dr. Kiran Bhaskar has diverse industrial experience in energy management and automotive innovation. As a Controls Engineer at Wabtec Corporation, he developed advanced algorithms for battery pack health monitoring, including SoC, SoH, and anomaly detection techniques. During a summer internship there, he created Simulink models for fault detection and sensor signal reconstruction. At Rivigo Logistics, he optimized market truck utilization, reducing revenue leakage by 5%. Interning at TVS Motor Company, he automated SI engine calibration for BMW engines, while at Ashok Leyland, he modeled airflow estimation in SI engines using Simulink. His work spans energy, logistics, and automotive sectors. 🚂🔋🚛

 

🏆 Awards and Honors

Dr. Kiran Bhaskar has received numerous accolades for his academic excellence and research contributions. He was honored with the prestigious Thomas and June Beaver Award (2024) for outstanding industrially-sponsored research at Pennsylvania State University and recognized as an ASME Dynamic Systems and Control Division Rising Star at the 2023 MECC. Twice a finalist for the Energy Systems Best Paper Award (2024), he also secured runner-up positions in poster sessions at IndustryXchange (2022, 2023). Additionally, he earned the Prime Minister’s Scholarship for academic excellence and ranked 1666th nationally (99.86 percentile) in the IIT-JEE Advanced Examination. 🌟📜🎖️

 

🔋 Research Focus

Dr. Kiran Bhaskar specializes in battery technology and energy systems, with a focus on lithium-ion batteries. His research includes thermal anomaly detection 🔥, state of charge and health estimation ⚡, and short-circuit detection in battery packs. Dr. Bhaskar has developed innovative methods for fault detection 🛠️, sensor signal reconstruction 🔍, and diagnosing heterogeneity-induced losses in parallel-connected cells. He also explores advanced techniques for anomaly diagnosis 🚨 and health monitoring of battery systems. His contributions enhance battery efficiency and safety, driving progress in electrification and sustainable energy solutions. 🌱🔧📈

 

Publication Top Notes 📚

  • Data-driven thermal anomaly detection in large battery packs 🔥 – Cited by 21 (2023)
  • State of Charge and State of Health estimation in large lithium-ion battery packs ⚡ – Cited by 4 (2023)
  • Detecting synthetic anomalies using median-based residuals in lithium-ion cell groups 🔍 – Cited by 4 (2022)
  • Detection of engine knock using speed oscillations in a single-cylinder spark-ignition engine 🚗 – Cited by 3 (2019)
  • Heterogeneity-induced power and capacity loss in parallel-connected cells 📉  (2024)
  • Short Circuit Estimation in Lithium-Ion Batteries Using Moving Horizon Estimation 🔧(2024)
  • Post-Damage Short Circuit Detection in Lithium-ion Batteries 🚨 (2024)
  • Faulty sensor signal reconstruction in Li-ion battery packs 🛠️ (2024)
  • Anomaly diagnosis and health monitoring of lithium-ion battery packs 🩺 (2024)

 

 

 

HARPREET AASI | Engineering | Women Researcher Award

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HARPREET AASI | Engineering | Women Researcher Award

Dr HARPREET AASI, INDIAN INSTITUTE OF TECHNOLOGY BOMBAY, India

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

Publication Profile

Scopus

Education

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

Experience

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

Award and Scholarships

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

Project contribution

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

Research focus

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

Publication top notes

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

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

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

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

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

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