Chitra P | Image Processing | Best Researcher Award

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Dr. Chitra P | Image Processing | Best Researcher Award

Professor at Sathyabama Institute of Science and Technology, India

Dr. P. Chitra is an accomplished academic and researcher with a Ph.D. in Applied Electronics from Sathyabama University (2014) and a Master’s in Applied Electronics (M.E.) from Coimbatore Institute of Technology (2004). She has been serving as an Assistant Professor in Sathyabama University, Chennai, since 2004. Her research interests span across image processing, signal processing, communication systems, and electronic circuit analysis. She has secured multiple sponsored projects, including collaborations with the Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. Dr. Chitra has contributed significantly to the field with numerous publications in both international journals and conferences, with notable works in deep learning for medical diagnostics, radiographic image processing, and PCOS detection using AI. Apart from her academic duties, she is a life member of the Indian Society for Technical Education (MISTE) and Institution of Engineers (IEI), and actively participates as a reviewer for various journals. Her dedication to advancing technology is reflected in her extensive training, certifications, and contributions to AI and machine learning. 🌐📚🔬

Publication Profile : 

Scopus

Google Scholar

Educational Background 🎓

  • Ph.D. in Electronics and Communication Engineering (2014), Sathyabama University, Chennai
  • M.E. in Applied Electronics (2004), Coimbatore Institute of Technology, Coimbatore (CGPA: 8.16)
  • B.E. in Electronics and Communication Engineering (2002), Nooral Islam College of Engineering, Kumaracoil, Nagercoil (73.55%)
  • H.S.C. (1998), Duthie Girls Higher Secondary School, Nagercoil (85.58%)
  • S.S.L.C. (1996), Duthie Girls Higher Secondary School, Nagercoil (87.00%)

Professional Experience 💼

Dr. P. Chitra has been an Assistant Professor at Sathyabama University since June 2004. With a career spanning over two decades, she has a rich academic experience in teaching and research, specializing in image processing, signal processing, and communication systems. She has been actively involved in various sponsored projects, including collaborations with Indira Gandhi Centre for Atomic Research and the Department of Biotechnology. She has led and contributed to multiple funded projects, including the development of digitization protocols for weld images and the application of AI for detecting PCOS (Polycystic Ovary Syndrome). Her expertise also extends to deep learning and AI-based algorithms in medical imaging and diagnostics.

Research Interests 🔬

Dr. Chitra’s research primarily focuses on image processing, signal processing, communication systems, and electronic circuit analysis. She is particularly passionate about applying AI and deep learning techniques for medical image analysis and diagnostic applications. Her ongoing research explores areas such as PCOS detection, brain tumor detection, and lung cancer classification, leveraging AI for better healthcare solutions.

Certifications & Achievements🎓

Dr. Chitra is a proud recipient of numerous NPTEL certifications, including courses in Deep Learning, Data Science for Engineers, and Introduction to AI. She is also a Life Member of Indian Society for Technical Education (ISTE) and the Institution of Engineers (IEI).

Publications 📚

  • Chitra P., Beryl Vedha Y. Johnson, Retnaraj Samuel S., et al. (2024), “Classification of Microglial Cells using Deep Learning Techniques”, Proceedings – 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024
  • Sheeba I.R., Jegan G., Jayasudha F.V., Chitra P., et al. (2024), “Brain Tumor Detection- ISM Band SAR Reduction Analysis Using Microstrip Patch Antenna”, Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024
  • Chitra P., Srilatha K., Sumathi M., et al. (2023), “Automated Detection of Polycystic Ovaries using Pretrained Deep Learning Models”, AICERA/ICIS 2023
  • Chitra P., Srilatha K., Jayasudha F.V., et al. (2023), “Lung Cancer Detection Using Classification Algorithm”, RAEEUCCI 2023
  • Amudha S., Shobana J., Satheesh Kumar M., Chitra P. (2022), “Modelling Air Pollution and Traffic Congestion Problem Through Mobile Application”, IconDeepCom 2022
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Comparison of Image Enhancement Techniques for Radiographic Weld Images”, Instrumentation Society Of India
  • Chitra P., Sheela Rani B., Venkataraman B., et al. (2011), “Evaluation of Signal To Noise in Different Radiographic Methods and Standard Digitizer”, Indian Journal of Computer Science and Engineering
  • Chitra P., Sheela Rani B., Manoharan N., et al. (2007), “A Comparative Study on the Digitization Parameters of Radiographic Weld Image Digitizers for Weld Defect Detection”, ECHDEM 2007, Chennai
  • Chitra P., Arulmozhi N., Sheela Rani B., et al. (2008), “Evaluation of Radiographic Image Quality through Standard Weld Image Digitizers”, ESSTA 2008
  • Chitra P., Sheela Rani B. (2012), “Study and Analysis on the Effect of Source to Film Distance on the Radiographic Image”, ICCCT 2012
  • Chitra P., Arulmozhi N., et al. (2009), “SNR Based Evaluation of Radiographic Weld Image Using Selenium 75, Ir-192, and X-rays”, National Seminar and Exhibition on NDE
  • Chitra P., Sheela Rani B., et al. (2011), “Extraction of Radiographic Weld Defects Using Pixel Based Segmentation”, NCICM 2011

 

 

 

Wissal Sahel | Economics | Best Researcher Award

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Ms. Wissal Sahel | Economics | Best Researcher Award

Ph.D. Candidate at Mohammed V University of Rabat, Morocco

Wissal Sahel is a 27-year-old Moroccan development economist currently pursuing a Ph.D. in Development Economics at Mohammed V University in Rabat. Her research explores the macroeconomic determinants of structural change in developing countries. Wissal has a strong academic background, with a Master’s in Economics and a Bachelor’s degree in Economics from Ibn Tofail University in Kenitra. She has worked as a research assistant, a teaching assistant, and interned with various organizations, contributing significantly to economic research projects. Passionate about economic development, Wissal has presented her work at prestigious conferences like the African Economic Conference 2023 and the Jobs and Development Conference 2022. 🌱📈

Publication Profile : 

Orcid

Educational Background 🎓

  • Ph.D. Candidate in Development Economics, Mohammed V University in Rabat, 2021 – Ongoing
    Thesis: On the macroeconomic determinants of structural change in the developing world.
  • Master’s in Economics, Mohammed V University in Rabat, 2019 – 2020
    Thesis: Transformation structurelle au Maroc: Un essai de mesure.
  • Bachelor’s in Economics, Ibn Tofail University, 2016 – 2018
  • Baccalaureate in Mathematics, Sidi Aissa High School, 2015

Professional Experience 💼

Wissal has held multiple positions that align with her academic focus, working in prestigious institutions such as Mohammed VI Polytechnic University, the High Commission for Planning, and the Ministry of Economy, Finance, and Administrative Reform in Morocco. She was a Research Assistant at Mohammed VI Polytechnic University, where she contributed to the project on Morocco’s economic transformation. Additionally, she interned at the High Commission for Planning, working on structural analysis projects and at the Ministry of Economy, focusing on Morocco’s economic information systems. Wissal has also taught courses like Development Economics and Advanced Macroeconomics at Mohammed V University, sharing her expertise with Master’s students in public policy and economics. 👩‍🏫📊

Research Interests 🔬

  • Structural Change and Economic Development: Understanding the macroeconomic forces that drive structural changes in developing economies.
  • Sectoral Policies in Morocco: Investigating industrial policies and their impact on Morocco’s development trajectory.
  • Climate Change and Labor Productivity: Assessing how climate change influences labor reallocation and productivity in the developing world.
  • Data Analytics and Econometrics: Applying advanced statistical methods, such as panel data analysis and input-output analysis, to study economic transformations. 🌍📉

Key Achievements 🌟

  • Best Young Researcher Paper Award, African Economic Conference 2023
  • Excellence Award in Methodology, Mohammed V University, 2021
  • Publications & Working Papers: Wissal has co-authored book chapters and articles on structural change and economic development in Morocco, with her work published in UNU-WIDER and other academic outlets.

Publications 📚

  • Journal Article (2024)
    Title: Structural change in Morocco: Rethinking Industrial Policies
    Published in: Structural Change and Economic Dynamics
    Date: December 2024
    DOI: 10.1016/j.strueco.2024.12.008
    ISSN: 0954-349X
    Contributors: Wissal SAHEL, Idriss EL ABBASSI

  • Working Paper (2023)
    Title: Structural change and the National Initiative for Human Development in Morocco: Subnational insights
    Published in: WIDER Working Paper
    Date: June 2023
    DOI: 10.35188/unu-wider/2023/382-6
    ISBN: 9789292673826
    ISSN: 1798-7237
    Contributors: Al-mouksit Akim, Wissal Sahel

 

 

 

Venkatraman Pitchaikannu | Radiotherapy | Best Researcher Award

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Dr. Venkatraman Pitchaikannu | Radiotherapy | Best Researcher Award

Post Doctoral Fellow at Banaras Hindu University, India

Dr. P. Venkatraman is a distinguished Medical Physicist with extensive expertise in radiation protection, dosimetry, and medical physics research. Holding a Ph.D. in Medical Physics from Bharathiar University (2013-2018), his research contributions span across nanodosimetry, radiation detectors, and innovative treatments in oncology, including novel approaches to COVID-19 treatment. He has received numerous awards, including the AMPI Meritorious Medical Physicist Award (2022) and the AFOMP Young Achiever Award (2024). Dr. Venkatraman has served in key academic and research roles, contributing to the field through teaching, research, and clinical applications. His innovative work in radiation therapy and detection technology has earned him recognition both in India and internationally. 🌟🩻📚

Publication Profile : 

Orcid

Educational Background 🎓

  • Ph.D. in Medical Physics – Bharathiar University, Coimbatore (2013-2018)
  • M.Sc. in Medical Physics – Bharathiar University, Coimbatore (2011-2013)
  • B.Sc. in Physics – Jamal Mohammed College, Bharathidasan University, Trichy (2008-2011)

Professional Experience 💼

Dr. Venkatraman has a diverse and impactful professional journey in medical physics, spanning academic, clinical, and research roles. He is currently a Teaching Medical Physicist at Bharathidasan University and a Mentor at the International Commission on Radiation Protection (TG 126). He has also worked as a Clinical Research Scientist and Principal at Harshamitra Super Specialty Cancer Center (2021-2022) and Head of the Department at Dr. N.G.P. Arts and Science College, Coimbatore (2019). Additionally, Dr. Venkatraman has served as an Assistant Professor and Innovation Member in applied sciences at the same institution. He is involved in cutting-edge research, including developing Monte Carlo simulations for kilo voltage arc treatments and establishing advanced radiation protection laboratories. His clinical experience includes working with advanced equipment like Varian Trilogy and HDR brachytherapy systems. He has also played a pivotal role in global initiatives, including research into innovative treatments for COVID-19. 🏥🎓💡

Research Interests 🔬

Dr. Venkatraman’s research focuses on medical physics, nanodosimetry, radiation protection, and treatment technologies. He has pioneered work in radiation detectors, with a special interest in developing novel instruments like the Nanodosimeter and COVID X, as well as exploring whole lung irradiation for COVID-19 treatment. His research interests also extend to radiation dosimetry in cancer treatment, specifically in advanced techniques like 3DCRT, IMRT, and RapidArc VMAT. He has published extensively in high-impact journals and has been a reviewer for several renowned publications. 🌍🔬🧑‍🔬

Awards and Recognitions 🏆

  • PN Krishnamoorthy Memorial AFOMP Young Achiever Award 2024
  • AMPI Meritorious Medical Physicist Award (2022)
  • Patent Appreciation Award (2021) for “Efficient Instrument to Detect Ions”
  • AFOMP Best Poster Presentation Award (2017)
  • Dr. M.S. Agarwal Young Investigator Award (2019)
  • Dr. R.K. Borkotoky Best Research Paper Award (2019)
  • Visiting Fellowships for participation in international workshops and summer schools in Europe. 🌟🏆🎖️

Publications 📚

  • Venkatraman Pitchaikannu, Lalit M Aggarwal, Sunil Choudhary, “Carbon-based brilliance: a novel approach to renewable energy in radiotherapy centers,” Radiation Protection Dosimetry, 200(11-12), 2024, 1189–1196.
  • Premkumar Sellan, Manigandan Selvan, Abida Perveen, Din Nasrud, Sakthivel Chandrasekar, Pitchaikannu Venkatraman, Devaraj Nataraj, Byung Seong Bae, Damian Chinedu Onwudiwe, Lei Wei, “Preparation of bismuth-doped CsPbBr3 perovskite single crystals for X-ray and gamma-ray sensing applications,” Material Advances, 2024, 5, 6309.
  • Sougoumarane Dashnamoorthy, Ebenezar Jeyasingh, Karthick Rajamanickam, Venkatraman Pitchaikannu, Kathiresan Nachimuthu, “Dosimetric and radiobiological advantages from deep inspiration breath-hold and free breath technique for left-sided breast radiation using 3DCRT, IMRT, and Rapid arc methods – A complete assessment,” Radiation Protection Dosimetry, 200(13), 2024, 1274–1293.
  • Boopathi M, Khanna D, Venkatraman P, Sahay J, Sureka CS, Raju V, Aggarwal LM, Choudhary S., “Fabrication and Characterization of Beam Quality Phantom for External Beam Radiotherapy,” Iranian Journal of Medical Physics, 2024, 21:93-101.
  • M. Boopathi, D. Khanna, P. Mohandass, P. Venkatraman, “A dosimetric comparison of split and open X-jaw methods in volumetric modulated arc therapy for extended target volumes of head and neck cancer,” Oncology and Radiotherapy, 18(4), 2024: 001-005.
  • P. Venkatraman, Rajisha Rajan, CS Sureka, LC Nehru, “Synthesis and fabrication of HAp from fish scale waste to develop bone equivalent phantom,” Nuclear and Particle Physics Proceedings, V336–338A, 2023, 54-61.
  • M. Boopathi, D. Khanna, P. Venkatraman, R Varshini, C. S. Sureka, S. Pooja, “Fabrication and Dosimetric Characteristics of Silicon Elastomer-Based Bolus Using External Beam Radiotherapy,” Asian Pacific Journal of Cancer Prevention, 24(1), 141-147, 2023.
  • M. Boopathi, D. Khanna, P. Venkatraman, R Varshini, S.Pooja, “Assessment of ion recombination and polarization correction factors for small and large field size of photon beams,” Oncology and Radiotherapy, 17(9), 2023: 268-286.

 

 

 

Linhua Jiang | Clean Production | Best Innovation Award

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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:

  1. Clean production technologies for heavy metal pollution reduction in process industries.
  2. Real-time monitoring and spectroscopy for assessing the original form, valence, and phase of species in complex solutions.
  3. Pollution reduction technologies for hazardous waste and high-concentration industrial effluents.
  4. Development of intelligent, non-destructive monitoring systems for industrial pollution sources and processes.
  5. 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

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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

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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 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 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 📚

  1. 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)

  2. 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.

  3. 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.
  4. 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.
  5. 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.
  6. 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)

  7. 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)

  8. 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.
  9. 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).
  10. 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 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 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 📚

  1. 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.