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. Piriโ€™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 ๐ŸŽ“๐Ÿ“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 Zabolโ€™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 experience๐Ÿซ๐Ÿ’ผ

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.

Researchย  interest๐ŸŒŠ๐Ÿ”ฌ

Dr. Piriโ€™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 Honor๐Ÿ…๐ŸŽ–๏ธ

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 notes๐Ÿ“„

  • Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
    ๐Ÿ“š A Moghaddamnia, MG Gousheh, J Piri, S Amin, D Han
    ๐Ÿ“… 2009
    ๐Ÿ“Š Citations: 395
    ๐Ÿ“„ Advances in Water Resources 32 (1), 88-97
  • Application of ANN and ANFIS models for reconstructing missing flow data
    ๐Ÿ“š MT Dastorani, A Moghadamnia, J Piri, M Rico-Ramirez
    ๐Ÿ“… 2010
    ๐Ÿ“Š Citations: 196
    ๐Ÿ“„ Environmental Monitoring and Assessment 166, 421-434
  • Comparison of LLR, MLP, Elman, NNARX and ANFIS Modelsโ€”with a case study in solar radiation estimation
    ๐Ÿ“š A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, J Piri
    ๐Ÿ“… 2009
    ๐Ÿ“Š Citations: 173
    ๐Ÿ“„ Journal of Atmospheric and Solar-Terrestrial Physics 71 (8-9), 975-982
  • Daily pan evaporation modeling in a hot and dry climate
    ๐Ÿ“š J Piri, S Amin, A Moghaddamnia, A Keshavarz, D Han, R Remesan
    ๐Ÿ“… 2009
    ๐Ÿ“Š Citations: 144
    ๐Ÿ“„ Journal of Hydrologic Engineering 14 (8), 803-811
  • Prediction of the solar radiation on the earth using support vector regression technique
    ๐Ÿ“š J Piri, S Shamshirband, D Petkoviฤ‡, CW Tong, MH ur Rehman
    ๐Ÿ“… 2015
    ๐Ÿ“Š Citations: 93
    ๐Ÿ“„ Infrared Physics & Technology 68, 179-185
  • Modeling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models
    ๐Ÿ“š J Piri, O Kisi
    ๐Ÿ“… 2015
    ๐Ÿ“Š Citations: 92
    ๐Ÿ“„ Journal of Atmospheric and Solar-Terrestrial Physics 123, 39-47
  • Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India
    ๐Ÿ“š A Malik, A Kumar, J Piri
    ๐Ÿ“… 2017
    ๐Ÿ“Š Citations: 75
    ๐Ÿ“„ Computers and Electronics in Agriculture 138, 20-28
  • A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method
    ๐Ÿ“š B Keshtegar, J Piri, O Kisi
    ๐Ÿ“… 2016
    ๐Ÿ“Š Citations: 71
    ๐Ÿ“„ Computers and Electronics in Agriculture 127, 120-130
  • Estimation of reference evapotranspiration using neural networks and cuckoo search algorithm
    ๐Ÿ“š S Shamshirband, M Amirmojahedi, M Gociฤ‡, S Akib, D Petkoviฤ‡, J Piri, …
    ๐Ÿ“… 2016
    ๐Ÿ“Š Citations: 58
    ๐Ÿ“„ Journal of Irrigation and Drainage Engineering 142 (2), 04015044
  • Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region
    ๐Ÿ“š O Mohammadrezapour, J Piri, O Kisi
    ๐Ÿ“… 2019
    ๐Ÿ“Š Citations: 54
    ๐Ÿ“„ Water Supply 19 (2), 392-403
  • Dust storm prediction using ANNs technique (A case study: Zabol City)
    ๐Ÿ“š MR Jamalizadeh, A Moghaddamnia, J Piri
    ๐Ÿ“… 2008
    ๐Ÿ“Š Citations: 47
    ๐Ÿ“„ 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
    ๐Ÿ“š A Mir, J Piri, O Kisi
    ๐Ÿ“… 2017
    ๐Ÿ“Š Citations: 44
    ๐Ÿ“„ Computers and Electronics in Agriculture 135, 38-50
  • Assessment of artificial intelligenceโ€“based models and metaheuristic algorithms in modeling evaporation
    ๐Ÿ“š M Zounemat-Kermani, O Kisi, J Piri, A Mahdavi-Meymand
    ๐Ÿ“… 2019
    ๐Ÿ“Š Citations: 42
    ๐Ÿ“„ Journal of Hydrologic Engineering 24 (10), 04019033
  • Evaporation estimation using support vector machines technique
    ๐Ÿ“š A Moghaddamnia, M Ghafari, J Piri, D Han
    ๐Ÿ“… 2009
    ๐Ÿ“Š Citations: 37
    ๐Ÿ“„ International Journal of Engineering and Applied Sciences 5 (7), 415-423

Weinan Liu | Engineering | Best Researcher Award

Mr. Weinan Liu | Engineering | Best Researcher Award

ย 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 Masterโ€™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

Liuโ€™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.

Researchย  interest

Weinan Liuโ€™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. Liuโ€™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
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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. 3443โ€“3450
    ๐Ÿท๏ธ 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
    ๐Ÿท๏ธ 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 Zhouโ€™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 Universityโ€™s School of Transportation Science and Engineering. From 2020 to 2022, he was a Postdoctoral Research Fellow, supported by Beihang Universityโ€™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.

 

Researchย  interest

Dr. Jianshan Zhouโ€™s research focuses on the modeling and optimization of vehicular communication networks and airโ€“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. Zhouโ€™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. Zhouโ€™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. Zhouโ€™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. ๐Ÿ“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. โœˆ๏ธ 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. 1341โ€“1354
    • Citations: 0
  3. ๐Ÿ”‹ 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. 5009โ€“5026
    • Citations: 0
  4. ๐Ÿš— 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. 4657โ€“4674
    • Citations: 1
  5. ๐ŸŒ 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. 2864โ€“2881
    • Citations: 0
  6. ๐Ÿš— 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. 3384โ€“3395
    • Citations: 2
  7. ๐Ÿง  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. 290โ€“301
    • Citations: 0
  8. ๐Ÿš— 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. 2153โ€“2166
    • Citations: 1
  9. ๐Ÿ” 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. 509โ€“520
    • Citations: 0
  10. ๐ŸŽฅ 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. Liโ€™s academic journey began with a Bachelorโ€™s degree in Automation from Jiujiang University, followed by a Masterโ€™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 Bachelorโ€™s in Automation at Jiujiang University in 2015, followed by a Masterโ€™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.

Researchย  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 โ€œGizmoโ€ 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

  • ๐Ÿ“ฐ “A Tailless FBG Smart Bolt with Good Performance”
    Heliyon
    2024 | DOI: 10.1016/j.heliyon.2024.e37772
  • ๐Ÿ“ฐ “Advantageous Strain Sensing Performances of FBG Strain Sensors Equipped with Planar UV-Curable Resin”
    Sensors
    2023 | DOI: 10.3390/s23052811
  • ๐Ÿ“ฐ “Great Increase of the Tensile Strength in the Lamellar PI-Coated FBG Sensors”
    Optics Continuum
    2022 | DOI: 10.1364/optcon.471726
  • ๐Ÿ“ฐ “Field-Induced Transformation of Ferroelectric Domain States in KTN Crystal”
    Chinese Optics Letters
    2021 | DOI: 10.3788/col202119.111602
  • ๐Ÿ“ฐ “Obvious Phase Transition Status Induced by Heโบ-Ions Implantation in KTN Crystal”
    SSRN Electronic Journal
    2021 | DOI: 10.2139/ssrn.3817904
  • ๐Ÿ“ฐ “Obvious Phase Transition Status Induced by Heโบ-Ions Implantation in KTN Crystal”
    Acta Materialia
    2021 | DOI: 10.1016/j.actamat.2021.117376
  • ๐Ÿ“ฐ “Unique Beam Deflection Based on Dynamic Polarized Nano-Domains in Cu-Doped KTN”
    Optics Express
    2021 | DOI: 10.1364/oe.433655
  • ๐Ÿ“ฐ “Reversible Rectification of Microscale Ferroelectric Junctions Employing Liquid Metal Electrodes”
    ACS Applied Materials & Interfaces
    2021 | DOI: 10.1021/acsami.0c22925
  • ๐Ÿ“ฐ “UV-Enhanced Conductive and Dielectric Properties in KTN Crystal”
    Ceramics International
    2021 | DOI: 10.1016/j.ceramint.2021.01.041
  • ๐Ÿ“ฐ “Dynamic Relaxation Process of a 3D Super Crystal Structure in a Cu Crystal”
    Chinese Optics Letters
    2020 | DOI: 10.3788/col202018.021901
  • ๐Ÿ“ฐ “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.

Researchย  interest

Dr. Chandrakant Ramnath Holkarโ€™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. Holkarโ€™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. Holkarโ€™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. Holkarโ€™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.