Linhua Jiang | Clean Production | Best Innovation Award

Published on 13/12/202413/12/2024 by Innovation Technologist

Prof. Linhua Jiang | Clean Production | Best Innovation Award

Professor II at College of Environmental Science and Engineering, Tongji University, China

Dr. Jiang Linhua is a distinguished second-level professor and tenured faculty member at the School of Environmental Science and Engineering, Tongji University, where she serves as the Chief Scientist of the Clean Production Research Center. With an impressive career spanning over two decades, Dr. Jiang specializes in clean production technologies, pollution reduction in industrial processes, and environmental sustainability. She has been recognized with numerous national science and technology awards, including the Second Prize for National Science and Technology Progress. Dr. Jiang is also deeply involved in the development of real-time monitoring technologies for hazardous waste and pollution sources, making significant contributions to industrial environmental management. 🌱🔬🌍

Publication Profile :

Scopus

Educational Background 🎓

2003-2006: Master’s in Materials Science and Engineering, Anhui University of Science and Technology
2006-2009: Ph.D. in Chemical and Environmental Engineering, China University of Mining and Technology (Beijing)
2009-2012: Postdoctoral Fellow, Clean Production Center, Chinese Research Academy of Environmental Sciences

Professional Experience 💼

Dr. Jiang Linhua’s career journey began with her postdoctoral research at the Chinese Research Academy of Environmental Sciences, where she worked closely with academician Duan Ning. From 2012 to 2017, she held various research and leadership roles at the Heavy Metal Clean Production Engineering Technology Center, focusing on pollution control technologies for heavy metals in industrial processes. In 2021, she joined Tongji University as a tenured second-level professor and Chief Scientist of the Clean Production Research Center. Prior to her academic career, Dr. Jiang led several key research projects aimed at reducing heavy metal pollution in industries such as copper smelting and zinc electrolysis, contributing significantly to environmental sustainability in China. 🏅📚💼

Research Interests 🔬

Dr. Jiang’s research revolves around developing advanced technologies for pollution prevention and environmental cleanup in industrial processes. Her key research areas include:

Clean production technologies for heavy metal pollution reduction in process industries.
Real-time monitoring and spectroscopy for assessing the original form, valence, and phase of species in complex solutions.
Pollution reduction technologies for hazardous waste and high-concentration industrial effluents.
Development of intelligent, non-destructive monitoring systems for industrial pollution sources and processes.
Circular economy principles and integration of sustainable practices in industrial manufacturing. 🌿🔧⚗️

Publications 📚

Sun, X., Jiang, L., Duan, N., Song, Z., Zhang, R. (2024). Diversified competitive sulfuration behaviors of concomitant heavy metal ions on copper recovery from copper smelting waste acid. Chemical Engineering Journal, 500, 157279.
Zhu, G., Jiang, L., Duan, N., Sun, X., Jin, H. (2024). The sulfurization precipitation and competition mechanisms of Cu(II) and As(V) in electrolyte towards efficient recovery of copper. Journal of Cleaner Production, 473, 143526.
Zhang, R., Jiang, L., Duan, N., Liao, J., Jin, H. (2024). High-accuracy quantitative model for phosphate anions in solution based on absorption spectroscopy and machine learning algorithms. Journal of Cleaner Production, 467, 142871.
Wang, Y., Duan, N., Jiang, L., Chen, Y., Xu, Y. (2024). Rapid determination of major and minor components in zinc concentrate by handheld X-ray fluorescence spectrometer. Yejin Fenxi/Metallurgical Analysis, 44(8), pp. 11–17.
Liang, Q., Jiang, L., Zheng, J., Duan, N. (2024). Determination of High Concentration Copper Ions Based on Ultraviolet—Visible Spectroscopy Combined with Partial Least Squares Regression Analysis. Processes, 12(7), 1408.
Sun, X., Jiang, L., Duan, N., Liu, Y., Zhang, R. (2024). Efficient recovery of copper resources from copper smelting waste acid based on Cu(Ⅱ)/As(Ⅲ) competitive sulfuration mechanism. Journal of Cleaner Production, 451, 141975.
Zhu, G., Duan, N., Jiang, L., Sun, X., Lin, F. (2024). Direct determination of high-concentration As(III) by UV high-reference differential absorption spectroscopy for cleaner As(III) removal promotion via sulfurization. Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy, 310, 123884.
Zhang, R., Liu, H., Jiang, L., Zhu, G., Wang, J. (2024). High-sensitivity detection of low-concentration heavy metal ions in solution by multiple reflection enhanced absorption (MREA) spectroscopy. Analytical Methods, 16(11), pp. 1674–1685.
Chen, Y., Duan, N., Jiang, L., Cheng, W., Xu, Y. (2024). Direct generation of Zn metal using laser-induced ZnS to eradicate carbon emissions from electrolysis Zn production. Frontiers of Environmental Science and Engineering, 18(1), 7.
Ma, Z., Jiang, J., Duan, L., Jiang, L., Duan, N. (2024). Synergistic promotion of particulate matter reduction and production performance via adjusting electrochemical reactions in the zinc electrolysis industry. Frontiers of Environmental Science and Engineering, 18(1), 2.

Qinhui Chen | Polymer Materials | Best Researcher Award

Published on 12/12/202413/12/2024 by Innovation Technologist

Prof. Dr. Qinhui Chen | Polymer Materials | Best Researcher Award

Professor at Fujian Normal University, China

Prof. Chen Qinhui 🎓🔬 is a distinguished educator and researcher at Fujian Normal University, where she combines expertise in precision instrumentation and polymer science. With a career spanning over two decades, she focuses on polymer composite systems, bridging innovative preparation methods with deep insights into interfacial behavior. 🌟👩‍🏫

Publication Profile :

Scopus

Educational Background 🎓

Chen Qinhui graduated from the Department of Analytical Testing Science, Wuhan University, in 1997 with a degree in Precision Instruments. While working at Fujian Normal University, she pursued a Master’s degree in Polymer Chemistry and Physics from 2000 to 2003 and later completed her Doctoral degree in the same field from 2006 to 2010.

Professional Experience 💼

Since 1997, Chen Qinhui has been a dedicated educator and researcher in the Department of Chemistry at Fujian Normal University. Her academic journey is marked by significant contributions to polymer composite functional systems, particularly focusing on their preparation methods, physical and chemical properties, and the interfacial behavior of polymer blends.

Research Interests 🔬

Prof. Chen specializes in the synthesis and characterization of polymer composite functional materials, studying their interfacial properties and exploring advanced physical and chemical challenges associated with polymer blends.

Publications 📚

Chen, Y., Weng, Y., Cheng, Y., … Fan, X., Liu, H. (2024). Multifunctional, low swelling and tough wet tissue adhesive sensor based on in situ reduced graphene oxide and polyphenols. Chemical Engineering Journal, 499, 156596.
Li, H., Chen, S., Huang, H., … Liu, X., Liu, H. (2024). Modified cotton gauze with high hemostatic efficacy due to controllable hygroscopicity and wet tissue adhesiveness. Journal of Applied Polymer Science, 141(34), e55861.
Fang, Y., Zhang, Y., Qiu, L., … Liu, H., Chen, Q. (2024). Amphiphilic Janus cotton gauze with enhanced moisture management and blood coagulation for rapid hemostasis and wound healing. International Journal of Biological Macromolecules, 276, 133826.
Chen, Y., Li, H., Xu, R., … Liu, H., Weng, Y. (2024). Ferried albumin-inspired bioadhesive with dynamic interfacial bonds for emergency rescue. Advanced Healthcare Materials, 13(19), 2400033.
Fang, Y., Lin, Y., Wang, L., … Chen, Q., Liu, H. (2024). Clotting blood into an adhesive gel by hemostatic powder based on cationic/anionic polysaccharides and laponite. Biomacromolecules, 25(6), 3335–3344.
Fang, Y., Lin, Y., Wang, L., … Weng, Y., Liu, H. (2024). Coagulating blood into adhesive gel by hybrid powder based on oppositely charged polysaccharide/tannic acid-modified mesoporous bioactive glass. International Journal of Biological Macromolecules, 270, 132440.
Huang, H., Xu, R., Fang, Y., … Liu, H., Fan, X. (2024). Biodegradable underwater tissue adhesive enabled by dynamic poly(thioctic acid) network. Chemical Engineering Journal, 489, 151352.
Chen, Z., Zhang, Y., Zheng, Y., Xiao, X., Chen, Q. (2024). Anisotropic cardanol hemostasis and silver antibacterial Janus nanosheet and its blood coagulation promotion. Materials Today Communications, 39, 108870.
Fang, Y., Lin, Y., Wang, L., … Weng, Y., Liu, H. (2024). Gluing blood into adhesive gel by oppositely charged polysaccharide dry powder inspired by fibrin fibers coagulation mediator. Carbohydrate Polymers, 333, 121998.
Fang, Y., Zheng, Y., Chi, C., … Liu, H., Chen, Q. (2024). PAA-PU Janus hydrogels stabilized by Janus particles and its interfacial performance during hemostatic processing. Advanced Healthcare Materials, 13(13), 2303802.

Chengyan Liu | Physical Oceanography | Excellence in Innovation

Published on 12/12/202412/12/2024 by Innovation Technologist

Dr. Chengyan Liu | Physical Oceanography | Excellence in Innovation

Associate Research Fellow at Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China

Dr. Chengyan Liu 🌊, a seasoned oceanographer and educator, specializes in physical oceanography with a focus on modeling and Antarctic ocean dynamics. With a strong academic foundation from Ocean University of China 🎓, he has published extensively in leading journals, advancing our understanding of ocean processes and their role in climate systems 🌏❄️. Currently, he is shaping the next generation of marine scientists as a faculty member at Hohai University 📚.

Publication Profile :

Scopus

Educational Background 🎓

Chengyan Liu earned his Ph.D. (2012) and M.S. (2009) in Physical Oceanography from Ocean University of China, where his research focused on ocean modeling and water mass dynamics. He also holds a bachelor’s degree in Oceanography from the same institution, completed in 2006.

Professional Experience 💼

Dr. Liu began his academic career as a faculty member at Nanjing University of Information Science & Technology (2012–2018). In 2018, he joined Hohai University, where he continues to contribute to the field of oceanography through research and teaching. His professional journey has been marked by significant contributions to understanding ocean currents, water mass transport, and climate-ocean interactions.

Research Interests 🔬

Dr. Liu’s research focuses on:

Ocean modeling and water mass dynamics.
Subduction processes and their sensitivity to climatic changes.
The transport of warm deep water across Antarctic continental shelf slopes.
Interactions between tidal currents and ice shelf melting in polar regions.

Publications 📚

Liu, C., Wang, Z., Liang, X., et al. (2024). The instabilities of the Antarctic slope current in an idealized model. Journal of Marine Systems, Article 104034. https://doi.org/10.1016/j.jmarsys.2024.104034
Liu, C., Wang, Z., Liang, X., Li, X., Cheng, C., Wu, Y., Liu, Y., Yuan, X., & Yu, X. (2023). Observed tidal currents in Prydz Bay and their contribution to the Amery Ice Shelf basal melting. Ocean-Land-Atmosphere Research, 2, Article 0020. https://doi.org/10.34133/olar.0020
Liu, C., Wang, Z., Liang, X., Li, X., Li, X., Cheng, C., & Qi, D. (2022). Topography-mediated transport of warm deep water across the continental shelf slope, East Antarctica. Journal of Physical Oceanography, 52, 1295–1314. https://doi.org/10.1175/jpo-d-22-0023.1
Liu, C., Wang, Z., Cheng, C., Wu, Y., Xia, R., Li, B., & Li, X. (2018). On the modified Circumpolar Deep Water upwelling over the Four Ladies Bank in Prydz Bay, East Antarctica. Journal of Geophysical Research: Oceans, 123. https://doi.org/10.1029/2018JC014026
Liu, C., Wang, Z., Cheng, C., Xia, R., Li, B., & Xie, Z. (2017). Modeling modified Circumpolar Deep Water intrusions onto the Prydz Bay continental shelf, East Antarctica. Journal of Geophysical Research: Oceans, 122, 5198–5217. https://doi.org/10.1002/2016JC012336
Liu, C. Y., Wang, Z., Li, B., Cheng, C., & Xia, R. (2017). On the response of subduction in the South Pacific to an intensification of westerlies and heat flux in an eddy permitting ocean model. Advances in Atmospheric Sciences, 34(4), 521–531. https://doi.org/10.1007/s00376-016-6021-2
Liu, C. Y., & Wang, Z. M. (2014). On the response of the global subduction rate to global warming in coupled climate models. Advances in Atmospheric Sciences, 31(1), 211–218. https://doi.org/10.1007/s00376-013-2323-9
Liu, C., & Wu, L. (2012). An intensification trend of South Pacific Mode Water subduction rates over the 20th century. Journal of Geophysical Research, 117, C07009. https://doi.org/10.1029/2011JC007755

Liu Zhemin | Protein Engineering | Best Researcher Award

Published on 12/12/202412/12/2024 by Innovation Technologist

Dr. Liu Zhemin | Protein Engineering | Best Researcher Award

Senior Scientist at Nanjing Vazyme Biotechnology Company, China

🔬🎓 Dr. Z. Liu is a distinguished scientist specializing in enzyme engineering and microbial biotechnology. With expertise in protein rational design, directed evolution, and computational modeling, he focuses on developing high-performance enzymes for industrial and medical applications. A prolific researcher and innovator, Dr. Liu integrates cutting-edge techniques like CRISPR-assisted rational design and cooperative substitution methods to advance enzymology. 🌟📈👨‍🔬

Publication Profile :

Scopus

Educational Background 🎓

Z. Liu has a strong academic foundation in biochemistry and molecular biology, with advanced training in enzyme engineering and microbial biotechnology. His education laid the groundwork for his expertise in protein design, directed evolution, and enzyme applications.

Professional Experience 💼

Z. Liu is a leading researcher and academic in the fields of enzyme engineering and microbial biotechnology. He has contributed extensively to the design and optimization of enzymes for industrial and therapeutic applications, including the development of high-stability enzymes and efficient expression systems in microbial hosts such as Pichia pastoris. His professional work includes the rational design of enzymes using surface charge modifications, directed evolution for improved catalytic properties, and genome editing to enhance enzyme functionality. His research spans collaborations with industry and academia, focusing on practical solutions for enzyme stability, catalytic efficiency, and prebiotic preparation.

Research Interests 🔬

Z. Liu’s research is centered on:

Rational Protein Design: Enhancing enzyme stability and activity using computational modeling and experimental methods.
Directed Evolution: High-throughput screening and mutagenesis to optimize enzyme performance.
Microbial Biotechnology: Developing superior expression systems in microbes like Pichia pastoris for large-scale enzyme production.
Enzyme Applications: Innovations in the preparation of prebiotic mannooligosaccharides and other industrial applications.
Thermostable Enzymes: Engineering enzymes for high-temperature and low-pH conditions.

Publications 📚

Z. Liu, X. Fu, M. Yuan, Q. Liang, C. Zhu, H. Mou, Surface charged amino acid-based strategy for rational engineering of kinetic stability and specific activity of enzymes: Linking experiments with computational modeling. Int. J. Biol. Macromol. 182, 228–236 (2021).
M. Wu, L. Cao, W. Tang, Z. Liu*, S. Feng, Improving the anti-autolytic ability of alkaline protease from Bacillus alcalophilus by a rationally combined strategy. Enzyme Microb. Technol., 110561 (2024).
Z. Liu, L. Cao, X. Fu, Q. Liang, H. Sun, H. Mou, *A multi-functional genetic manipulation system and its use in high-level expression of a β-mannanase mutant with high specific activity in Pichia pastoris. Microb. Biotechnol. 14, 1525–1538 (2021).
W. Zhang#, Z. Liu#, S. Zhou, H. Mou, R. Zhang, Cloning and expression of a β-mannanase gene from Bacillus sp. MK-2 and its directed evolution by random mutagenesis. Enzyme Microb. Technol. 124, 70–78 (2019).
Z. Liu, C. Ning, M. Yuan, X. Fu, S. Yang, X. Wei, M. Xiao, H. Mou, C. Zhu, High-efficiency expression of a superior β-mannanase engineered by cooperative substitution method in Pichia pastoris and its application in preparation of prebiotic mannooligosaccharides. Bioresour. Technol. 311, 123482 (2020).
Z. Liu, L. Cao, X. Fu, Q. Liang, H. Sun, H. Mou, *A multi-functional genetic manipulation system and its use in high-level expression of a β-mannanase mutant with high specific activity in Pichia pastoris. Microb. Biotechnol. 14, 1525–1538 (2021).
Q. Liang, L. Cao, C. Zhu, Q. Kong, H. Sun, F. Zhang, H. Mou, Z. Liu*, *Characterization of recombinant antimicrobial peptide BMGlv2 heterologously expressed in Trichoderma reesei. Int. J. Mol. Sci. 23 (2022). doi:10.3390/ijms231810291.
W. Zhang#, Z. Liu#, S. Zhou, H. Mou, R. Zhang, Cloning and expression of a β-mannanase gene from Bacillus sp. MK-2 and its directed evolution by random mutagenesis. Enzyme Microb. Technol. 124, 70–78 (2019).
Z. Liu, C. Ning, M. Yuan, X. Fu, S. Yang, X. Wei, M. Xiao, H. Mou, C. Zhu, High-efficiency expression of a superior β-mannanase engineered by cooperative substitution method in Pichia pastoris and its application in preparation of prebiotic mannooligosaccharides. Bioresour. Technol. 311, 123482 (2020).
Z. Liu, C. Ning, M. Yuan, S. Yang, X. Wei, M. Xiao, X. Fu, C. Zhu, H. Mou, High-level expression of a thermophilic and acidophilic beta-mannanase from Aspergillus kawachii IFO 4308 with significant potential in mannooligosaccharide preparation. Bioresour. Technol. 295, 122257 (2019).

Hun-Kook Choi | Laser Optics | Best Researcher Award

Published on 12/12/202412/12/2024 by Innovation Technologist

Dr. Hun-Kook Choi | Laser Optics | Best Researcher Award

Post. Doc at Gwangju Institute of Science and Technology(GIST), South Korea

Dr. Hun Kook Choi is a dynamic researcher specializing in photonics and laser applications. With expertise in femtosecond laser micromachining, he contributes to innovations in optical devices, fiber sensors, and semiconductor technologies. His collaborative work has been published in leading journals, reflecting his commitment to advancing optical engineering. 🌟🔬📡

Publication Profile :

Scopus

Orcid

Educational Background 🎓

Dr. Hun Kook Choi earned his Ph.D. in 2017 from the Department of Photonic Engineering at Chosun University, Gwangju, Republic of Korea. His doctoral research focused on “Characterization and Fabrication of Precise Optical Elements Using Hybrid Laser Processing.”

Professional Experience 💼

Dr. Choi is currently a Postdoctoral Researcher at the Optical Application Systems Research Division, Advanced Photonics Research Institute (APRI), Gwangju Institute of Science and Technology (GIST), Republic of Korea. His work involves cutting-edge applications of femtosecond laser systems in fabricating precision optical devices, diffraction optical devices, fiber optic sensors, and semiconductor applications such as bevel etching, DRAM bonding, and Through Glass Via (TGV) processing. His contributions extend to the design and innovation of novel optical and photonic technologies.

Research Interests 🔬

Dr. Choi’s research focuses on:

Precision optical devices, including micro-lens arrays (MLA)
Diffraction optical elements (DOE)
Fiber optic sensors like Fiber Bragg Gratings (FBG)
Semiconductor applications leveraging femtosecond lasers
Advanced laser processing techniques for glass cutting, micro-structuring, and photonic sensor development.

Publications 📚

Ahsan, M.S., Sohn, I.-B., & Choi, H.-K. (2024). Gorilla Glass Cutting Using Femtosecond Laser Pulse Filaments. Applied Sciences (Switzerland), 14(1), 312.
(Open access)
Ahsan, S., Arafat, A.I., Akter, T., Sohn, I.-B., & Choi, H.-K. (2024). Light Extraction Efficiency Enhancement of White Organic Light-Emitting Diodes (OLEDs) by Micro/Nano-Patterning the Substrate Layer. Defect and Diffusion Forum, 432, 85–106.
Sohn, I.-B., Choi, H.-K., Jung, Y.-J., Oh, M.-K., & Ahsan, M.S. (2023). Measurement of Fine/Ultrafine Dust Using Lenticular Fiber-Based Particulate Measurement Devices. IEEE Sensors Journal, 23(8), 8400–8409.
Lee, C.J., Choi, H.K., Sohn, I.B., & Ha, J.S. (2023). Laser Micro-Structuring of Super-Hydrophobic Surface for Lotus Effect. Journal of the Korean Society for Precision Engineering, 40(4), 291–299.
Adhikary, A., Ahsan, M.S., Hossain, M.B., Choi, H.-K., & Sohn, I.-B. (2022). Light Intensity and Efficiency Enhancement of n-ZnO/NiO/p-GaN Heterojunction-Based White Light-Emitting Diodes Using Micro-Pillar Array. Journal of Optics (India), 51(3), 526–537.
Choi, H.-K., Jung, Y.-J., Yu, B.-A., Kim, J.-Y., & Ahsan, M.S. (2022). Femtosecond-Laser-Assisted Fabrication of Radiation-Resistant Fiber Bragg Grating Sensors. Applied Sciences (Switzerland), 12(2), 886.
(Open access)
Lim, K.-D., Choi, H.-K., Sohn, I.-B., Lee, B.-H., & Kim, J.-T. (2021). Fabrication of Lensed Optical Fibers for Biosensing Probes Using CO2 and Femtosecond Lasers. Applied Sciences (Switzerland), 11(9), 3738.
(Open access)
Lee, S.-B., Jung, Y.-J., Choi, H.-K., Sohn, I.-B., & Lee, J.-H. (2021). Hybrid LPG-FBG Based High-Resolution Micro Bending Strain Sensor. Sensors (Switzerland), 21(1), 1–22.
Shikha, Z.A., Nath, S.K.D., Sikder, N., Choi, H.-K., & Ahsan, M.S. (2021). Demonstration of a 4 Gb/s Wavelength Division Multiplexing Based Li-Fi Network. Proceedings of International Conference on Electronics, Communications and Information Technology (ICECIT).
Shikha, Z.A., Nath, S.K.D., Sikder, N., Choi, H.-K., & Ahsan, M.S. (2021). Development of a Time Division Multiplexing Based Li-Fi System for Voice Communication. Proceedings of International Conference on Electronics, Communications and Information Technology (ICECIT).

Oana Panazan | Economics | Best Researcher Award

Published on 10/12/202410/12/2024 by Innovation Technologist

Dr. Oana Panazan | Economics | Best Researcher Award

Dr at Transylvania University of Brasov, Romania

Dr. Oana Nicoleta Panazan is an academic and researcher at Transylvania University of Brasov, specializing in management, financial markets, and geopolitical risk analysis. With a Ph.D. in Engineering and Management, her research explores the intersection of technology, market behavior, and crisis management, with a focus on financial volatility during global challenges. She has authored numerous books, articles, and conference papers, contributing valuable insights into topics like corporate relocation, economic recovery, and defense industry risks. Her work is at the cutting edge of financial economics, geopolitics, and technological innovation. 📈🌍💡

Publication Profile :

Orcid

Educational Background 🎓

Ph.D. in Engineering and Management (2023)
Transylvania University of Brasov
Doctoral thesis: “Growth Strategies through Companies Relocation”
Master’s in Engineering and Management
Bachelor’s in Industrial Engineering

Professional Experience 💼

Dr. Oana Nicoleta Panazan is an Associate Professor at the Faculty of Technological Engineering and Industrial Management at Transylvania University of Brasov, Romania. Her academic career has focused on management, industrial engineering, and the analysis of financial markets, particularly in the context of geopolitical risk, technological innovation, and crisis management. Dr. Panazan has contributed significantly to research on corporate relocation, stock market volatility, and the impact of global risks on financial performance. She has been involved in multiple international conferences and published extensively in journals and proceedings.

Her research expertise spans various areas, including geopolitical risk, financial economics, clean energy markets, and the relationship between technology and financial markets. Additionally, she has explored the dynamics of market behavior during crises, such as the COVID-19 pandemic, and its influence on defense industry stocks.

Research Interests 🔬

Geopolitical Risk and its effects on financial markets and stock volatility
Corporate Relocation strategies and their impact on business performance
Clean energy markets and sustainable business models
Technological Innovation and its relationship with market performance
Crisis Management and economic recovery
Financial modeling (AHP, ANP-TOPSIS, EGARCH, Neural Networks)

Publications 📚

Article Title: Investigating the effect of geopolitical risk on defense companies’ stock returns
Journal: Heliyon
Publication Date: December 2024
DOI: 10.1016/j.heliyon.2024.e40974
Contributors: Catalin Gheorghe; Oana Panazan
Article Title: Influence of geopolitical risk on stock volatility in the Middle East and North Africa states
Conference Paper: Business and Management 2024
Publication Date: September 12, 2024
DOI: 10.3846/bm.2024.1274
Contributors: Oana Panazan; Catalin Gheorghe
Article Title: Relationship between the dynamics of refugees from Ukraine and the volatility of tourism stocks: a time-frequency analysis
Conference Paper: Business and Management 2024
Publication Date: September 12, 2024
DOI: 10.3846/bm.2024.1157
Contributors: Catalin Gheorghe; Oana Panazan
Article Title: Effect of health system performance on volatility during the COVID-19 pandemic: A neural network approach
Journal: Journal of Business Economics and Management
Publication Date: February 28, 2024
DOI: 10.3846/jbem.2024.21059
Contributors: Catalin Gheorghe; Oana Panazan
Article Title: Impact of geopolitical risk on G7 financial markets: A comparative wavelet analysis between 2014 and 2022
Journal: Mathematics
Publication Date: January 24, 2024
DOI: 10.3390/math12030370
Contributors: Oana Panazan; Catalin Gheorghe
Article Title: Government response stringency index: An alternative for the volatility determining during pandemics
Conference Paper: Business and Management 2023
Publication Date: May 11, 2023
DOI: 10.3846/bm.2023.972
Contributors: Oana Panazan; Catalin Gheorghe
Article Title: Relocation trends determined by increasing risks in Eastern Europe: An ANP-TOPSIS approach
Journal: Human Systems Management
Publication Date: May 8, 2023
DOI: 10.3233/HSM-220062
Contributors: Oana Panazan; Catalin Gheorghe; Gavrila Calefariu
Article Title: Study on the areas affected by the COVID-19 pandemic in Romania
Conference Paper: 12th International Scientific Conference “Business and Management 2022”
Publication Date: May 6, 2022
DOI: 10.3846/bm.2022.700
Contributors: Oana Panazan; Catalin Gheorghe
Article Title: The influence of specific indicators on the volatility of shares on the Bucharest Stock Exchange during the COVID-19 pandemic
Conference Paper: 12th International Scientific Conference “Business and Management 2022”
Publication Date: May 6, 2022
DOI: 10.3846/bm.2022.697
Contributors: Catalin Gheorghe; Oana Panazan
Article Title: Model for industrial business relocation in Eastern Europe
Conference Paper: MATEC Web of Conferences
Publication Year: 2021
DOI: 10.1051/matecconf/202134307011
Contributors: Catalin Gheorghe; Oana Panazan
Article Title: Model of indirect expenses distribution for determining economies of scale
Conference Paper: MATEC Web of Conferences
Publication Year: 2021
DOI: 10.1051/matecconf/202134307009
Contributors: Oana Panazan; Catalin Gheorghe; Gavrila Calefariu
Article Title: The methodology of economic recovery of commercial companies in crisis conditions
Conference Paper: IOP Conference Series: Materials Science and Engineering
Publication Year: 2021
DOI: 10.1088/1757-899x/1009/1/012044
Contributors: Oana Panazan; Catalin Gheorghe; Gavrila Calefariu
Article Title: Aspects of risk in the defense industry from Romania
Journal: RECENT – REzultatele CErcetărilor Noastre Tehnice
Publication Date: August 27, 2020
DOI: 10.31926/recent.2020.60.004
Contributors: Oana Panazan; Cătălin Gheorghe

Hailong Yan | Energy Storage | Best Researcher Award

Published on 10/12/202410/12/2024 by Innovation Technologist

Mr. Hailong Yan | Energy Storage | Best Researcher Award

Professor at Nanyang Normal University, China

Shahzeb Khan 🎓✨ is a passionate Data Scientist and Assistant Professor with a flair for innovation and research. With expertise in AI, ML, and data science, he blends academic rigor with practical problem-solving skills. He has been recognized for his research excellence, including the prestigious Best Researcher Award (2024), and holds qualifications like GATE 2020 and UGC-NET 2023. Beyond his professional pursuits, Shahzeb enjoys reading, writing, cooking, solo traveling, swimming, and singing. 🌍📖🎤

Publication Profile :

Scopus

Educational Background 🎓

Shahzeb Khan is a dedicated Data Scientist and educator with a strong background in information systems analysis, programming, teaching, and research. He earned his M.Tech in Computer Science from Mahatma Gandhi Central University, Bihar, in 2023 with an impressive 8.5 CGPA, after completing his B.Tech from AKTU Uttar Pradesh in 2020 with a 6.8 CGPA. Shahzeb demonstrated academic excellence from an early age, achieving 9.2 CGPA in matriculation (CBSE) in 2013 and 75% in his intermediate studies in 2015.

Professional Experience 💼

Shahzeb is currently serving as an Assistant Professor in Computer Science and Applications at Sharda University, Greater Noida, where he teaches Artificial Intelligence, Machine Learning, Big Data Analytics, Data Science, and Data Analytics (since September 2023). His professional journey also includes a web development internship at IIY Software Pvt. Ltd. in 2019 and key coordination roles, such as the TSML (Time Series Machine Learning) Summer Training Program at MGCUB in 2023. Shahzeb is actively involved in conducting workshops and seminars, including those at IIT Delhi, where he engaged in IoT and Machine Learning training.

Research Interests 🔬

Shahzeb’s research interests lie at the intersection of Artificial Intelligence, Machine Learning, Deep Learning, and Statistical Modeling. He is particularly focused on predictive modeling, hybrid model development, and comparative analysis of advanced algorithms for time-series data. His notable work includes a publication on a novel Hybrid GRU-CNN model for PTB diagnostic ECG time series data in the Biomedical Signal Processing and Control journal, which boasts a 5.9 impact factor.

Publications 📚

Khan, S. (2024). A Novel Hybrid GRU-CNN and Residual Bias (RB) Based RB-GRU-CNN Models for Prediction of PTB Diagnostic ECG Time Series Data. Biomedical Signal Processing and Control, Impact Factor: 5.9.

Shahzeb Khan | AI in Healthcare | Best Researcher Award

Published on 10/12/202410/12/2024 by Innovation Technologist

Mr. Shahzeb Khan | AI in Healthcare | Best Researcher Award

Assistant professor at Sharda University, India

Publication Profile :

Google Scholar

Educational Background 🎓

Professional Experience 💼

Research Interests 🔬

Publications 📚

Khan, S. (2024). A Novel Hybrid GRU-CNN and Residual Bias (RB) Based RB-GRU-CNN Models for Prediction of PTB Diagnostic ECG Time Series Data. Biomedical Signal Processing and Control, Impact Factor: 5.9.

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Published on 10/12/202410/12/2024 by Innovation Technologist

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Ph.D. Student at Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is an innovative Mechatronics Engineer currently pursuing a Doctorate in Mechanical Engineering at Nanjing University of Science and Technology. With expertise in data-driven applications for 3D printing and machine learning, he works at the cutting edge of material science, electronics, and mechanical systems. Passionate about interdisciplinary collaboration, he applies his technical expertise to solving complex engineering challenges. His hands-on experience includes projects in servo motor control, smart applications, and multi-material 3D printing. Muhammad’s work contributes to significant advancements in the fields of automation, manufacturing, and functional electronics. 🛠️🔬📐

Publication Profile :

Scopus

Educational Background 🎓

Muhammad Ahsan Saleem holds a Doctor of Engineering in Mechanical Engineering (ongoing, since 2020) from Nanjing University of Science and Technology, China. He completed his Master of Engineering in Mechanical Engineering in 2018 and his Bachelor of Science in Mechatronics Engineering in 2013, both from the same institution in Nanjing, China, and University of Engineering and Technology (UET) Taxila, Pakistan, respectively.

Professional Experience 💼

Currently, Muhammad is a Researcher at Nanjing University of Science and Technology (2020-present), where he collaborates on building plans, timelines, and proposal writing for product development in the fields of 3D printing, inkjet printing, and data-driven approaches for high-viscosity inks. His role involves experiment design for optimizing inkjet printing processes and the development of multi-material ink applications. Prior to this, he worked as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai (2019), where he designed and implemented a Flexible Bend Control (FBC) device for textile machine calibration and developed an android app for wireless data transfer using Bluetooth. His work also includes performance analysis of electric motors and the design of test benches for comprehensive motor analysis. Earlier, he interned as a Trainee Engineer at Attock Refinery Limited, Pakistan, in 2015, working on HVAC equipment installation and maintenance.

Research Interests 🔬

Muhammad’s research spans 3D printing, machine learning, and materials science, with particular focus on inkjet printing technology, piezoelectric inks, and multi-material composites. He explores data-driven methodologies to improve the precision of 3D-printed electronic circuits and has contributed to studies on the jetting behaviors of high-viscosity inks and functional electronics printing.

Publications 📚

Rehman, A. U., Saleem, M. A., Liu, T., Pitir, F., & Salamci, M. U. (2022). Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina. Materials, 15(2), 637. https://doi.org/XXXXXX

Aslam, M. S., Qaisar, I., & Saleem, M. A. (2020). Quantized Event-triggered feedback control under fuzzy system with time-varying delay and actuator fault. Nonlinear Analysis: Hybrid Systems, 35, 100823. https://doi.org/XXXXXX

Kanneboina Ashok | Internet of Medical Things | Best Researcher Award

Published on 10/12/202410/12/2024 by Innovation Technologist

Dr. Kanneboina Ashok | Internet of Medical Things | Best Researcher Award

Assistant professor at Mallareddy university, India

Dr. Kanneboina Ashok is an Assistant Professor at Mallareddy University, Hyderabad, where he applies his expertise in IoT and healthcare. With 9 publications, 1 book, and 2 patents, his research aims to improve healthcare systems using IoT technologies, focusing on efficiency, energy, and security. 🌐📚💡

Publication Profile :

Scopus

Educational Background 🎓

Dr. Kanneboina Ashok is an Assistant Professor at Mallareddy University, Hyderabad, specializing in the intersection of healthcare and technology. With a solid academic foundation, he has made significant contributions in the field of Remote Health Monitoring using the Internet of Medical Things (IoMT). He holds a wealth of research experience, having published 9 research papers in prestigious journals (SCI, Scopus) and authored a book currently under review. His research focuses on optimizing IoMT systems in healthcare to overcome challenges such as delays, energy inefficiencies, and security vulnerabilities, all while maintaining scalability. Dr. Ashok has filed one patent in 2023 and has another ready for publication.

Professional Experience 💼

Dr. Ashok has significant teaching and research experience in the field of engineering and healthcare technologies. His expertise extends beyond the classroom, having worked on several ongoing research projects that aim to revolutionize healthcare through the use of IoT. He collaborates with global researchers to address pressing challenges in healthcare technology. Dr. Ashok is dedicated to advancing the potential of IoT in healthcare systems for more efficient, real-time patient monitoring.

Research Interests 🔬

Remote Health Monitoring
Internet of Medical Things (IoMT)
Healthcare System Optimization
IoT-based Security and Energy Efficiency in Healthcare

Publications 📚

Ashok, K., & Gopikrishnan, S. (2024). A hybrid secure signcryption algorithm for data security in an Internet of Medical Things environment. Journal of Information Security and Applications, 85, 103836. [Link Disabled]
Kanneboina, A., & Sundaram, G. (2024). Improving security performance of the Internet of Medical Things using a hybrid metaheuristic model. Multimedia Tools and Applications. [Link Disabled]
Ashok, K., & Gopikrishnan, S. (2024). Q-learning model for blockchain security in Internet of Medical Things networks. International Journal of Computer Networks and Communications, 16(1), 33–50. [Link Disabled]
Ashok, K., & Gopikrishnan, S. (2024). A framework provides authorized personnel with secure access to their electronic health records. In Lecture Notes in Networks and Systems (Vol. 894, pp. 137–148). [Link Disabled]
Ashok, K., & Gopikrishnan, S. (2023). Improving security performance of healthcare data in the Internet of Medical Things using a hybrid metaheuristic model. International Journal of Applied Mathematics and Computer Science, 33(4), 623–636. [Open Access]
Ashok, K., & Gopikrishnan, S. (2023). Statistical analysis of remote health monitoring-based IoT security models & deployments from a pragmatic perspective. IEEE Access, 11, 2621–2651. [Open Access]