Bhagavat Jadhav | Engineering | Best Researcher Award

Dr. Bhagavat Jadhav | Engineering | Best Researcher Award

Professor at JSPM’s Rajarshi Shahu College of Engineering, Pune, India

Dr. Bhagavat Dnyaneshwar Jadhav is a distinguished academic and researcher in Electronics and Telecommunication Engineering. With a passion for education and technology, he aims to contribute to societal betterment through innovative research. He holds a Ph.D. from Savitribai Phule Pune University, focusing on high-resolution multispectral satellite image analysis for agricultural management. Dr. Jadhav has over 21 years of teaching experience and has held various positions, including Professor and Controller of Examinations at JSPMā€™s Rajarshi Shahu College of Engineering. His dedication to enhancing educational standards and his leadership roles in academic committees highlight his commitment to the field. Through consultancy projects and research initiatives, he has made significant contributions to electronics and satellite image processing. šŸŒŸšŸŽ“šŸŒ

Professional Profile

Education šŸŽ“šŸ“š

Dr. Jadhav earned his Ph.D. in Electronics and Telecommunication Engineering from Savitribai Phule Pune University, where he conducted research on high-resolution multispectral satellite images for agricultural management. Prior to this, he completed his Master of Technology in Electronics with First Class Distinction from the University of Pune. His academic journey began with a Bachelorā€™s degree in Electronics from the University of Pune, followed by a Diploma in Industrial Electronics, where he graduated with distinction. His educational foundation is further strengthened by his performance in the GATE exam, scoring in the 88.37 percentile. Dr. Jadhavā€™s robust educational background not only reflects his commitment to academic excellence but also provides him with a strong theoretical framework for his extensive research and professional endeavors in the field of electronics and telecommunications. šŸ“ššŸ†šŸ’»

Professional experiencešŸ«šŸ’¼

With over 21 years of experience, Dr. Jadhav has established himself as a prominent educator and researcher in Electronics and Telecommunication Engineering. His career began as a lecturer at D.Y. Patil College of Engineering, where he honed his teaching skills before progressing to various positions, including Assistant Professor, Associate Professor, and ultimately Professor and Head of the Department at Rajarshi Shahu College of Engineering. Currently, he serves as the Controller of Examinations and a Professor in the Electronics and Telecommunication department at JSPMā€™s Rajarshi Shahu College of Engineering. His leadership roles extend to being the Chairman of the Board of Studies in Electronics and Telecommunication Engineering at his alma mater, Savitribai Phule Pune University. Dr. Jadhavā€™s extensive experience in academia is complemented by his active involvement in guiding research students, consultancy projects, and fostering advancements in engineering education. šŸ‘©ā€šŸ«šŸ”§šŸŒ

ResearchĀ  interestšŸŒŠšŸ”¬

Dr. Jadhavā€™s research interests are primarily centered around satellite image processing, remote sensing, and electronic devices. His Ph.D. research focused on analyzing high-resolution multispectral satellite images for land coverage mapping and agricultural management, reflecting his commitment to leveraging technology for sustainable development in agriculture. He is actively engaged in various projects that explore advanced techniques in satellite image enhancement and analysis. Additionally, Dr. Jadhav has shown a keen interest in developing automated systems for monitoring unauthorized settlements in urban areas, integrating remote sensing technologies with electronic innovations. His work in image processing techniques has applications across several domains, including medical imaging, agriculture, and environmental monitoring. Through his research, he aims to contribute to the advancement of technology that can improve agricultural practices and urban planning, addressing critical issues in modern society. šŸŒ±šŸ›°ļøšŸ”

Award and HonoršŸ…

Dr. Jadhav has received numerous accolades throughout his academic and professional journey, highlighting his contributions to the field of Electronics and Telecommunication Engineering. He served as the Chairman of the Board of Studies in Electronics and Telecommunication Engineering at Rajarshi Shahu College of Engineering, significantly influencing curriculum development from 2019 to 2022. His innovative research led to the publication of multiple patents in remote sensing and automated monitoring systems, showcasing his expertise and commitment to technological advancement. Additionally, his papers have been presented at various international conferences, earning recognition for his insights into satellite image processing and telecommunications. Dr. Jadhav’s dedication to excellence in education and research has not only brought accolades but also enhanced the reputation of the institutions he has been associated with, making him a respected figure in the academic community. šŸ…šŸ“œšŸŽ–ļø

Conclusion

Dr. Jadhav presents a strong profile as a candidate for the Women Researcher Award due to her extensive academic background, innovative research in satellite imaging, and her leadership in academia. Her contributions to agricultural management and land-use mapping through advanced image processing techniques are noteworthy, as are her patents and industry collaborations. However, aligning her work more explicitly with gender-related research or women-focused initiatives could further enhance her standing for a gender-specific award.

Publications top notesšŸ“„

  • Monitoring and controlling rice diseases using Image processing techniques
    Authors: AA Joshi, BD Jadhav
    Year: 2016
    Cited by: 171 šŸŒ¾šŸ”
  • Detection and classification of brain tumors
    Authors: NV Chavan, BD Jadhav, PM Patil
    Year: 2015
    Cited by: 63 šŸ§ šŸ”¬
  • A blind digital watermark technique for color image based on integer wavelet transform and SIFT
    Authors: CG Thorat, BD Jadhav
    Year: 2010
    Cited by: 37 šŸ’§šŸ–¼ļø
  • Analysis of various change detection techniques using satellite images
    Authors: SR Kotkar, BD Jadhav
    Year: 2015
    Cited by: 23 šŸŒšŸ”„
  • An effective method for satellite image enhancement
    Authors: BD Jadhav, PM Patil
    Year: 2015
    Cited by: 14 šŸ›°ļøāœØ
  • Hyperspectral remote sensing for agricultural management: a survey
    Authors: BD Jadhav, PM Patil
    Year: 2014
    Cited by: 12 šŸŒ±šŸ”­
  • Satellite image resolution enhancement using Dyadic-integer coefficients based bi-orthogonal wavelet filters
    Authors: BD Jadhav, PM Patil
    Year: 2015
    Cited by: 11 šŸ–„ļøšŸ“ˆ
  • Satellite image (multispectral) enhancement techniques in wavelet domain: an overview
    Authors: RB Dhekale, BD Jadhav, PM Patil
    Year: 2015
    Cited by: 10 šŸŒŒšŸ“Š
  • TED: A LIGHTWEIGHT BLOCK CIPHER FOR IoT DEVICES WITH SIDE-CHANNEL ATTACK RESISTANCE
    Authors: C Thorat, V Inamdar, B Jadhav
    Year: 2020
    Cited by: 6 šŸ”’šŸ“”
  • Survey on role of image processing techniques in plant pathology
    Authors: AA Joshi, BD Jadhav
    Year: 2015
    Cited by: 5 šŸŒ±šŸ¦ 
  • Noninvasive Diabetes Mellitus detection based on texture and color features of facial block
    Authors: SN Padawale, BD Jadhav
    Year: 2016
    Cited by: 4 šŸ©ŗšŸ–¼ļø
  • Lucy Richardson and Mean Modified Wiener Filter for Construction of Super-Resolution Image
    Authors: BD Jadhav, Pravin Balaso Chopade
    Year: 2023
    Cited by: 2 šŸ–„ļøšŸ”
  • Performance analysis of face detection system using HOG and qualHOG features
    Authors: SD Paithane, A.N. Patil, U.G. Jadhav, B.D. Shirbahadurkar
    Year: 2019
    Cited by: 1 šŸ“øšŸ”
  • Automated Iris Recognition System: An Overview
    Authors: BS Satpute, BD Jadhav
    Year: 2015
    Cited by: 1 šŸ‘ļøšŸ¤–
  • Smart System for Garbage Management
    Authors: PS Pisal, BD Jadhav
    Year: 2021
    Cited by: N/A šŸ—‘ļøšŸ’”

Masoud Fathali | Engineering | Best Researcher Award

Assist Prof Dr. Masoud Fathali | Engineering | Best Researcher Award

Head of Rail Transportation Department at Road, Housing and Urban Development Research Center, Iran

Masoud Fathali is an Assistant Professor and Head of the Rail Transportation Department at the Road, Housing, and Urban Development Research Center (BHRC), Iran. With expertise in railway engineering, he has contributed significantly to research and development in rail systems and infrastructure. His collaborations span from Iran to Sweden, focusing on high-speed railways, track systems, and innovative transportation solutions. Masoud is known for his practical and technical approach to railway engineering, playing a crucial role in advancing Iranā€™s rail transport sector. His extensive work in this field has earned him multiple awards and recognition on both national and international platforms. šŸ’¼šŸš†

Professional Profile

Education šŸŽ“šŸ“š

Masoud Fathali holds a Postdoctoral degree in Railway Engineering from Iran University of Science and Technology (IUST) in collaboration with LuleĆ„ University of Technology (LUT), Sweden (2020) šŸ«. He completed his Ph.D. in Civil & Environmental Engineering from Amirkabir University of Technology (AUT) in 2017, focusing on the effects of tire-derived aggregates on railway ballast materials šŸ“š. Earlier, he earned a Masterā€™s degree in Railway Track Engineering from IUST in 2008 and a Bachelorā€™s degree in Railway Track and Structures (2005) šŸŽ“. His education has consistently centered on enhancing railway systems, with specialized research in life-cycle cost analysis, railway track innovations, and infrastructure improvement. His academic background forms a solid foundation for his continued excellence in railway research and development. šŸŽ“šŸ“–

Professional experiencešŸ«šŸ’¼

Masoud Fathali’s career spans over two decades, with his current role as Head of the Rail Transportation Department at BHRC. He has led pivotal projects, including Tehran-Qom-Esfahan High-Speed Railway and collaborated with international organizations such as China Railway Group Limited (CREC) šŸ—ļøšŸš†. He is involved in developing national railway standards and conducting technical research on railway infrastructure improvements in Iran. Masoud has contributed to the training and development of the next generation of railway engineers and professionals through extensive teaching and consulting activities, collaborating with both academic and industry partners worldwide. His vast professional experience demonstrates his dedication to transforming Iranā€™s railway system through innovative and sustainable solutions. šŸŒšŸš„

ResearchĀ  interestšŸŒŠšŸ”¬

Masoud Fathaliā€™s research is focused on railway engineering with an emphasis on high-speed rail systems, infrastructure innovations, and life-cycle cost analysis šŸ’”šŸš„. His work spans across sustainable development of railway tracks in desert environments, tire-derived aggregate solutions for ballast materials, and improving railway superstructure design šŸš§. Masoud has a keen interest in enhancing rail transportation systems by integrating modern technology and sustainable engineering solutions, with projects tackling challenges like track vibrations, sand accumulation in desert railways, and track stability. His research continues to advance the field of railway engineering, both theoretically and in practical implementation. šŸŒšŸ›¤ļø

Award and HonoršŸ…

Masoud Fathali has received numerous prestigious awards, including the Best Researcher Award (2024) at both the CAD and ACA International Academic Awards šŸŽ–ļø. His contributions to railway engineering have been recognized by the Iran Ministry of Roads & Urban Development and the Iran Plan & Budget Organization. Masoud has also been honored with multiple letters of appreciation for his valuable input on railway infrastructure projects, such as the Tehran-Qom-Esfahan High-Speed Railway šŸ…. He has consistently ranked among top researchers in national and international conferences on railway engineering, earning accolades like the John Jarrett Davis Prize and numerous first-rank article awards šŸ†. His dedication to the rail industry continues to impact both research and practical applications in Iran and abroad. šŸ“œšŸŽ“

Conclusion

Dr. Masoud Fathali is highly qualified and has a substantial record of academic, technical, and leadership contributions in railway engineering. His awards, patents, and leadership roles underscore his excellence in research. While he could improve in global collaboration and public engagement, he is a strong candidate for the Best Researcher Award due to his significant technical innovations, academic publications, and ongoing contributions to national and international rail transportation projects.

Publications top notesšŸ“„

  • Influence of tire-derived aggregates on the properties of railway ballast material
    Authors: M Fathali, FM Nejad, M Esmaeili
    Year: 2017
    Citations: 96
  • Deterioration analysis of flexible pavements under overweight vehicles
    Authors: JM Sadeghi, M Fathali
    Year: 2007
    Citations: 67
  • Development of a new track geometry assessment technique incorporating rail cant factor
    Authors: J Sadeghi, M Fathali, N Boloukian
    Year: 2009
    Citations: 51
  • Evaluation of humped slab track performance in desert railways
    Authors: JA Zakeri, M Esmaeili, M Fathali
    Year: 2011
    Citations: 32
  • A new two-phase method for damage detection in skeletal structures
    Authors: A Kaveh, SR Hosseini Vaez, P Hosseini, MA Fathali
    Year: 2019
    Citations: 28
  • Influence of tire-derived aggregates mixed with ballast on ground-borne vibrations
    Authors: M Fathali, M Esmaeili, F Moghadas Nejad
    Year: 2019
    Citations: 22
  • Effects of rail cant on wheel-rail contact forces in slab tracks
    Authors: JA Zakeri, M Fathali, NB Roudsari
    Year: 2011
    Citations: 22
  • A new degradation model for life cycle assessment of railway ballast materials
    Authors: M Fathali, J Chalabii, F Astaraki, M Esmaeili
    Year: 2021
    Citations: 17
  • Reliability assessment of transmission line towers using metaheuristic algorithms
    Authors: P Hosseini, SR Hoseini Vaez, MA Fathali, H Mehanpour
    Year: 2020
    Citations: 11
  • Deterioration analysis of concrete bridges under inadmissible loads from the fatigue point of view
    Authors: JM Sadeghi, M Fathali
    Year: 2007
    Citations: 10
  • Size and shape reliability-based optimization of dome trusses
    Authors: SR Hoseini Vaez, P Hosseini, MA Fathali, A Asaad Samani, A Kaveh
    Year: 2020
    Citations: 9
  • Grillage analogy applications in analysis of bridge decks
    Authors: J Sadeghi, M Fathali
    Year: 2012
    Citations: 9
  • Investigating the effect of dilation on VNL and CNL types shear strength
    Authors: M Gharouni Nik, M Fathali
    Year: 2013
    Citations: 4
  • Introducing New Humped Slab Track Superstructure for Obviating the Problems of
    Authors: JA Zakeri, M Esmaieli, M Fathali
    Year: 2010
    Citations: 3
  • Aeolian Sand Challenges in Desert Rail Infrastructures, Overview of Iran’s Experience and Advancement
    Authors: M Fathali, MM Kabiri Nasrabad, HR Abbasi, A Amrollahi, M Soleymani
    Year: 2024
    Citations: 2

Jamshud Piri | Engineering | Best Researcher Award

Prof Dr. Jamshud Piri | Engineering | Best Researcher Award

Water engineering at University of Zabol, Iran

Dr. Jamshid Piri is an expert in water resource management and environmental hydrology. He is currently an instructor at Zabol University, where he teaches and conducts research on water engineering, hydrological forecasting, and the application of advanced computational methods like artificial neural networks (ANN) in environmental management. Dr. Piriā€™s work addresses crucial challenges in water sustainability and management, particularly in arid regions. His commitment to developing innovative solutions for predicting and managing water systems has earned him recognition in national conferences and academia. With over two decades of experience in the field, Dr. Piri has demonstrated a deep passion for teaching, research, and public service, contributing to critical projects in Iran’s water sector.

Professional Profile

Education šŸŽ“šŸ“š

Dr. Piri completed his Ph.D. in Water Resource Management (2018-2021) at Sistan and Baluchestan University, specializing in innovative modeling and simulation techniques to solve water-related challenges. His M.Sc. in Water Engineering (2005-2007) from Shiraz University focused on hydrological modeling, where his thesis involved simulating evaporation from Zabolā€™s Chah-Nemehs using artificial neural networks. He holds a B.Sc. in Water Engineering from Sistan and Balochestan University (1998-2002), where he gained foundational knowledge in hydrology, hydraulic systems, and environmental water resources. His extensive education has enabled him to tackle complex issues in water management, preparing him for his roles in academia and applied research.

Professional experiencešŸ«šŸ’¼

Dr. Piri has over two decades of professional experience in the water sector. He began his career at the Ministry of Power, working on water and soil management projects from 2002 to 2004. He then joined the Ministry of Agriculture, where he led key initiatives related to water and soil exports from 2007 to 2013. Since 2013, Dr. Piri has served as an instructor at Zabol University, where he teaches undergraduate and postgraduate courses such as Fluid Mechanics, Hydrology, and Water Quality. His research integrates advanced techniques like artificial neural networks and fuzzy logic to address water resource challenges. His diverse roles across government and academic institutions underscore his commitment to improving water management in Iran and beyond.

ResearchĀ  interestšŸŒŠšŸ”¬

Dr. Piriā€™s research focuses on the innovative modeling and forecasting of hydrological variables, including precipitation, evaporation, and groundwater levels. He is particularly interested in developing computational tools like artificial neural networks (ANN) and fuzzy logic to improve predictions related to water resource management in arid regions. His expertise in hydroinformatics has led to groundbreaking work in suspended sediment modeling, trend analysis of hydrological data, and environmental management. By combining advanced algorithms with real-world water issues, Dr. Piri aims to improve the sustainability of water systems. His research is critical for addressing the challenges of water scarcity and environmental degradation in regions such as Zabol, making his contributions both timely and impactful.

Award and HonoršŸ…šŸŽ–ļø

Dr. Piri has received multiple accolades for his contributions to water resource management and hydrological research. He has been recognized at various national conferences for his innovative work in groundwater modeling and hydrological forecasting. His research using artificial neural networks and genetic algorithms for soil temperature simulation has been particularly well-received in Iran’s academic community. His teaching excellence has also earned him recognition at Zabol University, where he is valued for his ability to integrate complex computational methods into practical water management solutions. Dr. Piri’s continued dedication to both academic research and practical water resource solutions makes him a highly respected figure in the Iranian hydrological research landscape.

Conclusion

Dr. Jamshid Piri is a well-qualified candidate for the Best Researcher Award, with a solid educational background, strong research in hydroinformatics, and active involvement in both teaching and national conferences. His work on hydrological modeling and water resource management is critical in regions facing environmental challenges. To further strengthen his profile, Dr. Piri should aim to publish in more high-impact international journals and engage in interdisciplinary, global research collaborations. Overall, his commitment to innovative solutions in water management makes him a deserving candidate for recognition.

Publications top notesšŸ“„

  • Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
    šŸ“š A Moghaddamnia, MG Gousheh, J Piri, S Amin, D Han
    šŸ“… 2009
    šŸ“Š Citations: 395
    šŸ“„ Advances in Water Resources 32 (1), 88-97
  • Application of ANN and ANFIS models for reconstructing missing flow data
    šŸ“š MT Dastorani, A Moghadamnia, J Piri, M Rico-Ramirez
    šŸ“… 2010
    šŸ“Š Citations: 196
    šŸ“„ Environmental Monitoring and Assessment 166, 421-434
  • Comparison of LLR, MLP, Elman, NNARX and ANFIS Modelsā€”with a case study in solar radiation estimation
    šŸ“š A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, J Piri
    šŸ“… 2009
    šŸ“Š Citations: 173
    šŸ“„ Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982
  • Daily pan evaporation modeling in a hot and dry climate
    šŸ“š J Piri, S Amin, A Moghaddamnia, A Keshavarz, D Han, R Remesan
    šŸ“… 2009
    šŸ“Š Citations: 144
    šŸ“„ Journal of Hydrologic Engineering 14 (8), 803-811
  • Prediction of the solar radiation on the earth using support vector regression technique
    šŸ“š J Piri, S Shamshirband, D Petković, CW Tong, MH ur Rehman
    šŸ“… 2015
    šŸ“Š Citations: 93
    šŸ“„ Infrared Physics & Technology 68, 179-185
  • Modeling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models
    šŸ“š J Piri, O Kisi
    šŸ“… 2015
    šŸ“Š Citations: 92
    šŸ“„ Journal of Atmospheric and Solar-Terrestrial Physics 123, 39-47
  • Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
    šŸ“š A Malik, A Kumar, J Piri
    šŸ“… 2017
    šŸ“Š Citations: 75
    šŸ“„ Computers and Electronics in Agriculture 138, 20-28
  • A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
    šŸ“š B Keshtegar, J Piri, O Kisi
    šŸ“… 2016
    šŸ“Š Citations: 71
    šŸ“„ Computers and Electronics in Agriculture 127, 120-130
  • Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm
    šŸ“š S Shamshirband, M Amirmojahedi, M Gocić, S Akib, D Petković, J Piri, …
    šŸ“… 2016
    šŸ“Š Citations: 58
    šŸ“„ Journal of Irrigation and Drainage Engineering 142 (2), 04015044
  • Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region
    šŸ“š O Mohammadrezapour, J Piri, O Kisi
    šŸ“… 2019
    šŸ“Š Citations: 54
    šŸ“„ Water Supply 19 (2), 392-403
  • Dust storm prediction using ANNs technique (A case study: Zabol City)
    šŸ“š MR Jamalizadeh, A Moghaddamnia, J Piri
    šŸ“… 2008
    šŸ“Š Citations: 47
    šŸ“„ Proceedings of World Academy of Science: Engineering and Technology 45
  • Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics
    šŸ“š A Mir, J Piri, O Kisi
    šŸ“… 2017
    šŸ“Š Citations: 44
    šŸ“„ Computers and Electronics in Agriculture 135, 38-50
  • Assessment of artificial intelligenceā€“based models and metaheuristic algorithms in modeling evaporation
    šŸ“š M Zounemat-Kermani, O Kisi, J Piri, A Mahdavi-Meymand
    šŸ“… 2019
    šŸ“Š Citations: 42
    šŸ“„ Journal of Hydrologic Engineering 24 (10), 04019033
  • Evaporation estimation using support vector machines technique
    šŸ“š A Moghaddamnia, M Ghafari, J Piri, D Han
    šŸ“… 2009
    šŸ“Š Citations: 37
    šŸ“„ International Journal of Engineering and Applied Sciences 5 (7), 415-423

Weinan Liu | Engineering | Best Researcher Award

Mr. Weinan Liu | Engineering | Best Researcher Award

Ā University of Illinois Urbana-Champaign, United States

Weinan Liu is a distinguished researcher in the field of Electrical Engineering, currently pursuing a Ph.D. at the University of Illinois Urbana-Champaign. His academic journey reflects a strong commitment to advancing the frontiers of photonics and optics, underpinned by a rigorous educational background and a series of significant contributions to his field.

 

Professional Profile

Education

Weinan Liu earned his Ph.D. in Electrical Engineering from the University of Illinois Urbana-Champaign, maintaining an impressive GPA of 3.9/4.0. Prior to this, he completed his Masterā€™s degree in Optics at Sun Yat-sen University, graduating with a perfect GPA of 4.0/4.0. His educational credentials provide a solid foundation for his innovative research and academic endeavors.

Professional experience

Liuā€™s professional experience includes his current role as a Graduate Research Assistant at the Nanosensors Group, Micro and Nanotechnology Laboratory (UIUC), where he leads projects in photonic resonator absorption microscopy and metastructures for photonic scattering microscopy. His previous work at the Metaphotonics Group, State Key Laboratory of Optoelectronic Materials and Technologies (SYSU), involved significant contributions to broadband high reflectance and high-efficiency dielectric meta-gratings. Liu has also gained practical experience as an intern and laboratory assistant, demonstrating his broad skill set and dedication to his field.

ResearchĀ  interest

Weinan Liuā€™s research interests focus on photonics, optics, and metastructures. His work explores advanced techniques in photonic resonator absorption microscopy, photonic crystal-enhanced fluorescence, and the application of metastructures for improved optical performance. Liuā€™s research aims to push the boundaries of sensitivity and efficiency in optical detection and imaging technologies.

Award and Honor

Liu has received several prestigious honors, including the Mavis Future Faculty Fellows (MF3) Program Fellowship at UIUC and the Outstanding Student Grant of Sun Yat-sen University. He has also been recognized for his contributions through the Lunar rover creative design competition and various scholarships. These accolades highlight his exceptional academic and research achievements.

Conclusion

Weinan Liu is a highly qualified candidate for the Best Researcher Award, demonstrating a combination of academic excellence, innovative research, leadership, and recognition. His impressive portfolio of publications, active mentoring role, and practical contributions through patents underline his suitability for this accolade. Addressing areas for improvement, such as enhancing publication impact and increasing public engagement, could further strengthen his candidacy and amplify the influence of his research.

Publications top notes

  • Dynamic and large field of view photonic resonator absorption microscopy for ultrasensitive digital resolution detection of nucleic acid and protein biomarkers
    Liu, W., Ayupova, T., Wang, W., Demirci, U., Cunningham, B.T.
    Biosensors and Bioelectronics, 2024, 264, 116643
    šŸ·ļø 0 Citations
  • Photonic crystal-coupled enhanced steering emission: A prism-free, objective-free, and metal-free loss-less approach for biosensing
    Bhaskar, S., Liu, W., Tibbs, J., Cunningham, B.T.
    Applied Physics Letters, 2024, 124(16), 161102
    šŸ·ļø 2 Citations
  • Photonic Crystal Enhanced Fluorescence: A Review on Design Strategies and Applications
    Xiong, Y., Shepherd, S., Tibbs, J., Bhaskar, S., Cunningham, B.T., Liu, W.
    Micromachines, 2023, 14(3), 668
    šŸ·ļø 48 Citations
  • Automated photonic resonator absorption microscope for point of care biomarker detection
    Liu, W., Takhmina, A., Wang, W., Demirci, U., Cunningham, B.T.
    2023 IEEE Photonics Conference, IPC 2023 – Proceedings, 2023
    šŸ·ļø 0 Citations
  • Microscopies Enabled by Photonic Metamaterials
    Xiong, Y., Li, N., Che, C., Hu, H., Cunningham, B.T., Liu, W.
    Sensors, 2022, 22(3), 1086
    šŸ·ļø 16 Citations
  • From subwavelength grating to metagrating: principle, design and applications
    Chen, R., Liu, X., Wang, H., Jiang, S., Dong, J., Liu, W.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2020, 49(9), 20201039
    šŸ·ļø 2 Citations
  • Narrow-frequency sharp-angular filters using all-dielectric cascaded meta-gratings
    Liu, W.-N., Chen, R., Shi, W.-Y., Zhao, F.-L., Dong, J.-W.
    Nanophotonics, 2020, 9(10), pp. 3443ā€“3450
    šŸ·ļø 14 Citations
  • Rectangular dielectric metagrating for high-efficiency diffraction with large-angle deflection
    Shi, W., Deng, W., Liu, W., Fan, Z., Dong, J.
    Chinese Optics Letters, 2020, 18(7), 073601
    šŸ·ļø 6 Citations

Jianshan Zhou | Engineering | Best Researcher Award

Assoc Prof Dr. Jianshan Zhou | Engineering | Best Researcher Award

R&D Engineer at T&S Communications Co., Ltd. in China

Jianshan Zhou is an associate professor at the School of Transportation Science and Engineering at Beihang University, Beijing, China. He received his B.Sc., M.Sc., and Ph.D. degrees in traffic information engineering and control from Beihang University in 2013, 2016, and 2020, respectively. As a Visiting Research Fellow at the University of Sussex, U.K., from 2017 to 2018, he expanded his expertise in informatics and engineering. He furthered his academic career as a Postdoctoral Research Fellow supported by Beihang University’s Zhuoyue Program and the National Postdoctoral Program for Innovative Talents from 2020 to 2022. Dr. Zhou has chaired technical programs at prestigious IEEE conferences and serves on editorial boards, including the Youth Editorial Board of Unmanned Systems Technology. He has authored over 30 international publications and has received multiple prestigious awards for his research on vehicular communication networks and intelligent transportation systems.

 

Professional Profile

Education

Jianshan Zhouā€™s academic journey began at Beihang University, where he earned his B.Sc., M.Sc., and Ph.D. degrees in traffic information engineering and control in 2013, 2016, and 2020, respectively. Throughout his education, he focused on the complexities of intelligent transportation systems and vehicular communication networks. His doctoral work at Beihang was recognized for its innovation and impact, earning him several prestigious accolades, including the Outstanding China-SAE Doctoral Dissertation Award in 2020. His passion for research took him abroad as a Visiting Research Fellow at the University of Sussex in the U.K. from 2017 to 2018, where he honed his skills in the fields of informatics and transportation systems engineering. This international experience broadened his perspectives and enriched his academic background, which is further highlighted by the excellence awards and scholarships he earned throughout his educational career.

 

Professional experience

Dr. Jianshan Zhou is currently an associate professor at Beihang Universityā€™s School of Transportation Science and Engineering. From 2020 to 2022, he was a Postdoctoral Research Fellow, supported by Beihang Universityā€™s prestigious Zhuoyue Program and the National Postdoctoral Program for Innovative Talents. His international experience includes serving as a Visiting Research Fellow at the School of Informatics and Engineering, University of Sussex, U.K., from 2017 to 2018. Dr. Zhou has been actively involved in organizing and leading technical programs for prominent conferences like IEEE EDGE 2020, IEEE ICUS 2022-2024, and ICAUS 2022. Additionally, he serves as a Youth Editorial Board Member for Unmanned Systems Technology. His contributions to the academic community extend to serving on technical program committees for global conferences, where he has facilitated discussions on cutting-edge technologies in transportation science, vehicular communication, and autonomous systems.

 

ResearchĀ  interest

Dr. Jianshan Zhouā€™s research focuses on the modeling and optimization of vehicular communication networks and airā€“ground cooperative networks. He explores cutting-edge technologies that enable efficient and reliable communication systems for connected autonomous vehicles and intelligent transportation systems. His work investigates how autonomous vehicles can interact within networks, improving both safety and efficiency in transportation. Dr. Zhouā€™s contributions extend to air-ground coordination, where he studies the integration of aerial systems into traffic management, aiming to optimize resource utilization in smart cities. His interdisciplinary approach also includes the analysis and control of these complex networks, ensuring that connectivity is maintained across varying transportation environments. With over 30 international scientific publications, Dr. Zhouā€™s research continues to push the boundaries of transportation engineering, making notable contributions to the field of autonomous driving technologies, vehicle-to-everything (V2X) communication, and the development of next-generation intelligent systems.

Award and Honor

Dr. Jianshan Zhou has received numerous awards and honors throughout his academic career. In 2017, he earned the First Prize in the Science and Technology Award from the China Intelligent Transportation Systems Association. In 2020, he received the First Prize in the Innovation and Development Award from the China Association of Productivity Promotion Centers. His groundbreaking research was also recognized with the Second Prize in the Beijing Science and Technology Progress Award in 2022. During his doctoral studies, he received National Scholarships in both 2017 and 2019 and was awarded the Outstanding Top-Ten Ph.D. Candidate Prize from Beihang University in 2018. Furthermore, his Ph.D. work garnered the prestigious Outstanding China-SAE Doctoral Dissertation Award in 2020, followed by the Excellent Doctoral Dissertation Award from Beihang University in 2021. These accolades reflect Dr. Zhouā€™s leadership in research and his significant contributions to intelligent transportation systems.

 

Achievements

  • First Prize in the Science and Technology Award (China Intelligent Transportation Systems Association) – 2017
  • First Prize in the Innovation and Development Award (China Association of Productivity Promotion Centers) – 2020
  • Second Prize in the Beijing Science and Technology Progress Award – 2022
  • National Scholarships – 2017 and 2019
  • Outstanding Top-Ten Ph.D. Candidate Prize (Beihang University) – 2018
  • Outstanding China-SAE Doctoral Dissertation Award – 2020
  • Excellent Doctoral Dissertation Award (Beihang University) – 2021

Conclusion

Jianshan Zhou is an outstanding candidate for the Best Researcher Award. His impressive academic credentials, prolific research output, and numerous prestigious awards make him a strong contender. He has made significant contributions to the field of intelligent transportation systems and vehicular communication networks, areas critical for the future of autonomous vehicles and smart cities. Furthermore, his leadership in conferences and technical committees reflects his influence in shaping the future of his research domains.

 

Publications top notes

  1. šŸ“Š Contrastive optimized graph convolution network for traffic forecasting
    • Guo, K., Tian, D., Zhou, J., Gao, J., Qian, Z.S. (2024)
    • Journal: Neurocomputing, 602, 128249
    • Citations: 0
  2. āœˆļø Distributed Robust UAVs Formation Control Based on Semidefinite Programming
    • Zhang, P., Zhou, J., Tian, D., Zhao, D., Guo, K. (2024)
    • Journal: Tsinghua Science and Technology, 29(5), pp. 1341ā€“1354
    • Citations: 0
  3. šŸ”‹ Joint Energy-Efficiency Communication Optimization and Perimeter Traffic Flow Control for Multi-Region LTE-V2V Networks
    • Zhou, J., Qu, G., Tian, D., Guan, Y.L., Leung, V.C.M. (2024)
    • Journal: IEEE Transactions on Mobile Computing, 23(5), pp. 5009ā€“5026
    • Citations: 0
  4. šŸš— Continuous Decision-Making in Lane Changing and Overtaking Maneuvers for Unmanned Vehicles: A Risk-Aware Reinforcement Learning Approach with Task Decomposition
    • Wu, S., Tian, D., Duan, X., Zhao, D., Cao, D. (2024)
    • Journal: IEEE Transactions on Intelligent Vehicles, 9(4), pp. 4657ā€“4674
    • Citations: 1
  5. šŸŒ Energy-Efficiency Optimization With Model Convexification for Wireless Ad Hoc Networks With Multi-Packet Reception Capability
    • Zhou, J., Tian, D., Qu, G., Duan, X., Leung, V.C.M. (2024)
    • Journal: IEEE Transactions on Mobile Computing, 23(4), pp. 2864ā€“2881
    • Citations: 0
  6. šŸš— V2VFormer: Vehicle-to-Vehicle Cooperative Perception with Spatial-Channel Transformer
    • Lin, C., Tian, D., Duan, X., Zhao, D., Cao, D. (2024)
    • Journal: IEEE Transactions on Intelligent Vehicles, 9(2), pp. 3384ā€“3395
    • Citations: 2
  7. šŸ§  Contrastive learning for traffic flow forecasting based on multi graph convolution network
    • Guo, K., Tian, D., Hu, Y., Gao, J., Yin, B. (2024)
    • Journal: IET Intelligent Transport Systems, 18(2), pp. 290ā€“301
    • Citations: 0
  8. šŸš— V2VFormer++: Multi-Modal Vehicle-to-Vehicle Cooperative Perception via Global-Local Transformer
    • Yin, H., Tian, D., Lin, C., Zhao, D., Cao, D. (2024)
    • Journal: IEEE Transactions on Intelligent Transportation Systems, 25(2), pp. 2153ā€“2166
    • Citations: 1
  9. šŸ” RPBFT: A Scalable Consensus Mechanism for Large Blockchain Systems
    • Wang, W., Tian, D., Duan, X., Zhou, J. (2024)
    • Conference Paper: Lecture Notes of the Institute for Computer Sciences, LNICST, 573, pp. 509ā€“520
    • Citations: 0
  10. šŸŽ„ CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering
  • Guo, K., Tian, D., Hu, Y., Gao, J., Yin, B. (2024)
  • Journal: IEEE Transactions on Circuits and Systems for Video Technology
  • Citations: 0

 

Xiaojin Li | Engineering | Best Researcher Award

Dr. Xiaojin Li | Engineering | Best Researcher Award

R&D Engineer at T&S Communications Co., Ltd. in China

Li Xiaojin is a distinguished researcher in optical engineering, currently serving as an R&D Engineer at Shenzhen Taichenguang Communication Co., Ltd. Since July 2021, he has been instrumental in developing advanced optical fiber sensing technologies. Liā€™s academic journey began with a Bachelorā€™s degree in Automation from Jiujiang University, followed by a Masterā€™s in Optical Engineering from Shantou University, and culminated in a PhD from Nankai University in 2021. His research encompasses key areas such as optical fiber sensing for lithium-ion batteries, field-induced phase transitions in ferroelectric crystals, and the dynamics of intense laser field interactions with atoms.

Professional Profile

Education

Li Xiaojin completed his Bachelorā€™s in Automation at Jiujiang University in 2015, followed by a Masterā€™s in Optical Engineering from Shantou University in 2018. He earned his PhD in Optical Engineering from Nankai University in 2021.

Professional experience

Li is currently an R&D Engineer at Shenzhen Taichenguang Communication Co., Ltd., where he has been working since July 2021. Prior to this role, he was involved in a joint training program between Shenzhen University and Shenzhen Taichen Optical Communication Co., Ltd. for postdoctoral research.

ResearchĀ  interest

Li’s research focuses on optical fiber sensing technology, including product development such as grating strain gauges and optical fiber intelligent bolts. He also investigates key technologies for lithium-ion batteries, field-induced phase transitions in ferroelectric crystals, and the interaction between intense laser fields and atoms.

Award and Honor

Li has received several prestigious awards, including the ā€œGizmoā€ award from his company, the title of “High-level Talent” in Pingshan District, Shenzhen City, and the “Outstanding Newcomer” award in 2021. Additionally, he has been recognized with the alumni scholarship from Nankai University School of Electro-Optics and titles such as “Excellent Organizational Individual” by the Optical Society of China.

Achievements

  • Developed Advanced Products: Created grating strain gauges, grating strain flowers, optical fiber intelligent bolts, partial discharge ultrasonic sensors, optical fiber humidity sensors, and non-contact liquid level sensors.
  • Key Technology Research: Worked on optical fiber sensing for lithium-ion batteries, polarization-maintaining optical fiber cylindrical imaging, and seven-core optical fiber fan-out module preparation.
  • Published Papers: Authored 17 papers (including 15 SCI papers) in domestic and international journals.
  • Invention Patents: Applied for 7 patents related to optical fiber sensing and grating strain gauges.

Conclusion

Li Xiaojin exhibits considerable strengths as a researcher in optical engineering. His innovative products, significant research contributions, and recognition within the field make him a strong candidate for the Research for Best Researcher Award. By addressing areas for improvement, particularly in increasing citation impact and broadening collaboration, Li could further enhance his contributions and influence in the scientific community.

Publications top notes

  • šŸ“° “A Tailless FBG Smart Bolt with Good Performance”
    Heliyon
    2024 | DOI: 10.1016/j.heliyon.2024.e37772
  • šŸ“° “Advantageous Strain Sensing Performances of FBG Strain Sensors Equipped with Planar UV-Curable Resin”
    Sensors
    2023 | DOI: 10.3390/s23052811
  • šŸ“° “Great Increase of the Tensile Strength in the Lamellar PI-Coated FBG Sensors”
    Optics Continuum
    2022 | DOI: 10.1364/optcon.471726
  • šŸ“° “Field-Induced Transformation of Ferroelectric Domain States in KTN Crystal”
    Chinese Optics Letters
    2021 | DOI: 10.3788/col202119.111602
  • šŸ“° “Obvious Phase Transition Status Induced by Heāŗ-Ions Implantation in KTN Crystal”
    SSRN Electronic Journal
    2021 | DOI: 10.2139/ssrn.3817904
  • šŸ“° “Obvious Phase Transition Status Induced by Heāŗ-Ions Implantation in KTN Crystal”
    Acta Materialia
    2021 | DOI: 10.1016/j.actamat.2021.117376
  • šŸ“° “Unique Beam Deflection Based on Dynamic Polarized Nano-Domains in Cu-Doped KTN”
    Optics Express
    2021 | DOI: 10.1364/oe.433655
  • šŸ“° “Reversible Rectification of Microscale Ferroelectric Junctions Employing Liquid Metal Electrodes”
    ACS Applied Materials & Interfaces
    2021 | DOI: 10.1021/acsami.0c22925
  • šŸ“° “UV-Enhanced Conductive and Dielectric Properties in KTN Crystal”
    Ceramics International
    2021 | DOI: 10.1016/j.ceramint.2021.01.041
  • šŸ“° “Dynamic Relaxation Process of a 3D Super Crystal Structure in a Cu Crystal”
    Chinese Optics Letters
    2020 | DOI: 10.3788/col202018.021901
  • šŸ“° “High Transparency Induced by Electric Fields Using KTN Crystals”
    Journal of Alloys and Compounds
    2020 | DOI: 10.1016/j.jallcom.2020.155702

Chandrakant Holkar | Engineering | Most Cited Paper Award

Assist Prof Dr. Chandrakant Holkar | Engineering | Most Cited Paper Award

Assistant Professor at Institute of Chemical Technology, Mumbai in India

Dr. Chandrakant Ramnath Holkar is a distinguished researcher in the field of chemical technology, with a focus on sustainable processes and environmental solutions. He holds a Ph.D. in Chemical Engineering from the Institute of Chemical Technology, Mumbai, and has accumulated over a decade of research experience. Dr. Holkar has made significant contributions in the areas of waste valorization, life cycle assessment, and process intensification, with 33 publications in prestigious international and national journals, 8 book chapters, and multiple patents. He has received numerous accolades, including the National Best Researcher Award 2024 from IMRF and several scholarships. Currently an Assistant Professor at ICT Mumbai, he has also worked as a researcher at Shell India. Dr. Holkar is a recognized peer reviewer and has presented his work at various international conferences. His commitment to advancing green technologies and sustainable engineering solutions underscores his impact on both academia and industry.

Professional Profile

Education

Dr. Chandrakant Ramnath Holkar has an extensive academic background in Chemical Technology and Engineering. He earned his Ph.D. in Chemical Engineering from the Institute of Chemical Technology (ICT), Mumbai, in 2021, with a focus on developing sustainable processes for environmental conservation. Prior to his Ph.D., he completed a Master of Technology in Chemical Technology from ICT in 2014, specializing in Bioprocess Technology, where he graduated with First Class with Distinction. Dr. Holkar also holds a Bachelor of Technology degree in Chemical Technology, with a specialization in Fibers and Textile Processing Technology, from the same institution, obtained in 2011. In addition to his formal degrees, he has completed several certifications, including professional training in Life Cycle Analysis, Carbon Footprint, and Sustainable Waste Management from the Confederation of Indian Industry (CII) and other prestigious institutions like the University of Michigan and IIT Kharagpur, reinforcing his expertise in environmental sustainability.

Professional experience

Dr. Chandrakant Ramnath Holkar is an accomplished researcher and academic with extensive experience in the field of Chemical Engineering and Technology. He is currently an Assistant Professor at the Institute of Chemical Technology, Mumbai, where he also serves as a consultant. With a strong background in bioprocess technology, Dr. Holkar has contributed significantly to research and industrial applications through his previous roles as a Senior Research Scientist at Shell India and Lignoil Technologies. His work as a Senior Research Fellow (SRF) and Junior Research Fellow (JRF) at the Council of Scientific and Industrial Research (CSIR) and Department of Science & Technology (DST) has earned him recognition for his research in sustainable environmental solutions. Throughout his career, Dr. Holkar has demonstrated expertise in waste management, wastewater treatment, and process intensification, underlined by his research, consultancy, and academic contributions that span over a decade. His interdisciplinary approach bridges academia and industry to drive sustainable innovations.

ResearchĀ  interest

Dr. Chandrakant Ramnath Holkarā€™s research interests are rooted in the development of sustainable technologies that address pressing environmental challenges. His expertise spans chemical engineering, biotechnology, and green technology, with a focus on process intensification, cavitational techniques, and waste valorization. Dr. Holkar is particularly passionate about utilizing advanced cavitation-based processes for the treatment of wastewater, valorization of keratin-based waste, and extraction of valuable resources from industrial by-products. He is also engaged in the development of innovative solutions for the decolorization of textile effluents, enhancing the sustainability of bitumen processing, and optimizing nanomaterial synthesis for applications in energy and environmental sectors. Dr. Holkarā€™s multidisciplinary approach aims to contribute to the circular economy by transforming waste into valuable products while minimizing environmental impact. His research bridges the gap between fundamental science and practical industrial applications, driving advancements in sustainable chemical processes and environmental conservation.

Research skill

Dr. Chandrakant Ramnath Holkar demonstrates exceptional research skills in the field of chemical engineering, with a focus on sustainable processes and environmental technologies. His expertise spans areas like bioprocess technology, wastewater treatment, and resource valorization, showcasing his ability to tackle complex environmental challenges. Dr. Holkar’s ability to integrate life cycle assessment and resource efficiency principles into his research is evident in his extensive body of work, including 33 publications and contributions to multiple patents and book chapters. His proficiency in cavitation-assisted technologies and nanomaterials further highlights his innovative approach to process intensification. Additionally, his peer review activities for reputable journals and involvement in international conferences reflect his standing in the scientific community. Dr. Holkarā€™s interdisciplinary knowledge and hands-on experience with advanced chemical technologies demonstrate his capability to drive impactful research, particularly in the realm of environmental sustainability and green engineering solutions.

Award and recognition

Dr. Chandrakant Ramnath Holkar has garnered numerous accolades and recognitions for his significant contributions to chemical technology and environmental sustainability. Notably, he received the prestigious IMRF National Best Researcher Award in Chemical Technology (2024) from the International Multidisciplinary Research Foundation, underscoring his excellence in research. His work has been consistently celebrated, with earlier honors including the Senior Research Fellowship (2017) from the Council of Scientific and Industrial Research (CSIR), and the Shri G.M. Abhyankar Research Presentation Award in both 2016 and 2014, awarded to the top Ph.D. candidates at the Institute of Chemical Technology, Mumbai. Additionally, he was recognized with international support, such as the International Travel Support Grant (2016) from the Science and Engineering Research Board, Government of India, which allowed him to present his research globally. Dr. Holkarā€™s extensive recognition highlights his leadership in innovative research focused on sustainable processes and environmental impact reduction.

Conclusion

Dr. Chandrakant Ramnath Holkar is a highly qualified candidate for the Best Researcher Award. His exceptional academic background, innovative research, patents, and significant publication record mark him as a leading researcher in chemical technology and sustainable processes. With some additional focus on international collaboration and project leadership, he could further elevate his already impressive profile. His expertise in green technologies and sustainable engineering uniquely positions him for this award.

Publication top notes

  1. A critical review on textile wastewater treatments: possible approaches
    Authors: CR Holkar, AJ Jadhav, DV Pinjari, NM Mahamuni, AB Pandit
    Journal: Journal of Environmental Management
    Year: 2016
    Citations: 2042
  2. Investigation of TiO2 photocatalyst performance for decolorization in the presence of hydrodynamic cavitation as hybrid AOP
    Authors: B Bethi, SH Sonawane, GS Rohit, CR Holkar, DV Pinjari, BA Bhanvase
    Journal: Ultrasonics Sonochemistry
    Year: 2016
    Citations: 109
  3. Valorization of keratin based waste
    Authors: CR Holkar, SS Jain, AJ Jadhav, DV Pinjari
    Journal: Process Safety and Environmental Protection
    Year: 2018
    Citations: 103
  4. Ultrasound assisted manufacturing of paraffin wax nanoemulsions: Process optimization
    Authors: AJ Jadhav, CR Holkar, SE Karekar, DV Pinjari, AB Pandit
    Journal: Ultrasonics Sonochemistry
    Year: 2015
    Citations: 97
  5. Kinetics of biological decolorisation of anthraquinone based Reactive Blue 19 using an isolated strain of Enterobacter sp. F NCIM 5545
    Authors: CR Holkar, AB Pandit, DV Pinjari
    Journal: Bioresource Technology
    Year: 2014
    Citations: 93
  6. Cavitationally driven transformations: A technique of process intensification
    Authors: CR Holkar, AJ Jadhav, DV Pinjari, AB Pandit
    Journal: Industrial & Engineering Chemistry Research
    Year: 2019
    Citations: 71
  7. Acoustic cavitation as a novel approach for extraction of oil from waste date seeds
    Authors: AJ Jadhav, CR Holkar, AD Goswami, AB Pandit, DV Pinjari
    Journal: ACS Sustainable Chemistry & Engineering
    Year: 2016
    Citations: 66
  8. Acoustic cavitation assisted alkaline hydrolysis of wool based keratins to produce organic amendment fertilizers
    Authors: CR Holkar, AJ Jadhav, PS Bhavsar, S Kannan, DV Pinjari, AB Pandit
    Journal: ACS Sustainable Chemistry & Engineering
    Year: 2016
    Citations: 57
  9. Biodegradation of reactive blue 19 with simultaneous electricity generation by the newly isolated electrogenic Klebsiella sp. C NCIM 5546 bacterium in a microbial fuel cell
    Authors: CR Holkar, H Arora, D Halder, DV Pinjari
    Journal: International Biodeterioration & Biodegradation
    Year: 2018
    Citations: 48
  10. Anticorrosive performance of super-hydrophobic imidazole encapsulated hollow zinc phosphate nanoparticles on mild steel
    Authors: AJ Jadhav, CR Holkar, DV Pinjari
    Journal: Progress in Organic Coatings
    Year: 2019
    Citations: Not provided.

Jiaqing Zhu | Engineering | Best Researcher Award

šŸŒŸ Dr. Jiaqing Zhu, Shenzhen Institute for Technology Innovation, National Institute of Metrology, China, China: EngineeringšŸ†

Professional Profiles:

Bio Summary:

Dr. Jiaqing Zhu is a highly accomplished mechanical engineer specializing in precision manufacturing and measurement at the micro-nano scale. With a Doctor of Philosophy in Engineering, he has made significant contributions to the field through innovative research and a successful professional journey. His work focuses on nanoparticle sizing and concentration measurement using cutting-edge technology, particularly nanoparticle chips. Dr. Zhu is currently a post-doctoral researcher at the Shenzhen Institute for Technology Innovation, National Institute of Metrology, China.

Education:

  • Bachelor’s Degree: China Jiliang University, 2011-2015
  • Master’s Degree: Kyushu University, 2016-2020
  • Doctoral Degree: Kyushu University, 2020-2023

Research Focus:

Dr. Zhu’s primary research interests lie in precision manufacturing and the measurement of micro-nano particles. His expertise includes nanoparticle sizing and concentration measurement, particularly for polydispersed particles, utilizing advanced technologies such as nanoparticle chips.

Professional Journey:

Currently serving as a post-doctoral researcher at the Shenzhen Institute for Technology Innovation, National Institute of Metrology, China, Dr. Zhu has demonstrated a strong commitment to advancing the field of precision engineering. His professional journey includes academic achievements and impactful contributions to both national and international conferences.

Honors & Awards:

  • Best Paper Award, 18th International Conference on Precision Engineering, 2020
  • Best Presentation Award, 2021 Japan Society for Precision Engineering Spring Conference
  • Excellent Presentation Award, The 10th Engineering Research Planning Seminar at Kyushu University, 2021

Publications Top Noted & Contributions:

Dr. Zhu has authored several influential papers and proceedings, contributing significantly to the knowledge base in precision engineering. His work spans various international conferences and journals, showcasing his expertise in nanoparticle measurement and characterization.

Journal Papers:

Measurement of molar concentration spectra for nanoparticle with multi-modal nanoparticle size distribution using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Journal: Precision Engineering
  • Volume: 74(2022)
  • Pages: 460-468

Nanoparticle sizing for polydispersed particles using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Journal: Transactions of The JSME (in Japanese)
  • Volume: 86, 892 (2020)
  • Pages: 20-00220

Measurement of number-weighted particle size distribution for CMP slurry using nanoparticle chip

  • Authors: Jiaqing Zhu*, Terutake Hayashi, Syuhei Kurokawa
  • Journal: Precision Engineering
  • Volume: 86(2024)
  • Pages: 203-212
Proceedings:

Measurement of molar concentration spectrum based on number-weighted particle size distribution for polydispersed particles using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Conference: 23rd IMEKO World Congress
  • Paper No.: TC14-2-01
  • Pages: 1-4
  • Date: August 2021

Nanoparticle sizing for CMP slurry using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Conference: 10th International Conference on Leading Edge Manufacturing in 21st Century (LEM21)
  • Paper No.: 024
  • Pages: 1-2
  • Date: November 2021

Measurement of molar concentration spectrum for nanoparticle with multi-modal nanoparticle sizing distribution using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Conference: 18th International Conference on Precision Engineering (ICPE2020)
  • Paper No.: D-1-1
  • Pages: 1-2
  • Date: November 2020

Measurement of number-based particle sizing distribution using nanoparticle micro array

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Conference: 14th International Symposium on Measurement Technology and Intelligent Instruments (ISMTII2019)
  • Paper No.: 64
  • Pages: 1-4
  • Date: September 2019

A novel nanoparticle characterizing method using nanoparticle micro array

  • Authors: Terutake Hayashi*, Syuhei Kurokawa, Jiaqing Zhu
  • Conference: 17th International Conference on Precision Engineering (ICPE2018)
  • Paper No.: D-1-8
  • Pages: 1-2
  • Date: November 2018

Measurement of number-weighted particle size distribution for poly-dispersed particles using nanoparticle chip

  • Authors: Jiaqing Zhu, Terutake Hayashi*, Syuhei Kurokawa
  • Conference: 19th International Conference on Precision Engineering (ICPE2022)
  • Paper No.: C065
  • Pages: 1-2
  • Date: November 2022

Research Timeline:

  • 2011-2015: Bachelor’s degree at China Jiliang University
  • 2016-2020: Master’s degree at Kyushu University
  • 2020-2023: Doctoral degree at Kyushu University
  • 2023-Present: Post-doctoral researcher at Shenzhen Institute for Technology Innovation, National Institute of Metrology, China

This timeline illustrates Dr. Zhu’s academic and research journey, highlighting his progression from undergraduate studies to his current post-doctoral position.