Ting Wang | Electronic Science | Best Researcher Award

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Prof. Ting Wang | Electronic Science | Best Researcher Award

Professor | Nanjing University of Posts and Telecommunications | China

Professor Wang Ting is a distinguished scholar in the field of flexible electronics, currently serving as a Jiangsu Distinguished Professor, National Excellent Young Scientist, and doctoral supervisor at the National Key Laboratory of Flexible Electronics, Nanjing University of Posts and Telecommunications. A member of the Communist Party of China, she leads a pioneering research group focusing on precision control and sensing mechanisms of biochemical interfaces, precision fabrication and application of flexible materials, wearable intelligent electronics, implantable flexible diagnostic and therapeutic systems, and intelligent drug controlled release systems. Her academic journey began at Hunan Normal University, where she obtained her undergraduate and master’s degrees in electroanalytical chemistry under the guidance of Academician Yao Shouzhe, followed by a Ph.D. in environmental materials at Central South University under Academician Chai Liyuan. She then pursued postdoctoral research at Nanyang Technological University, Singapore, working on flexible biosensors under Academician Chen Xiaodong. Since 2021, she has been a professor at Nanjing University of Posts and Telecommunications, making significant contributions to interdisciplinary research in bioelectronics and flexible systems. Professor Wang has published extensively in leading international journals such as Nature Electronics, Nature Communications, and Advanced Materials, and has co-edited influential books including “Frontier Technologies of Integrated Micro-Nano Systems” and “Bioelectronics.” She has successfully led and participated in major national and provincial research projects, including the National Natural Science Foundation of China Excellent Young Scientists Fund, Jiangsu Distinguished Professor Award, and key provincial programs in brain-computer interface and brain-inspired intelligence. Recognized with honors such as Mine Young Scientist (2023) and Nanoscale Emerging Scientist (2022), she has also been invited to deliver talks at prestigious conferences worldwide and continues to inspire young researchers as an academic mentor and competition instructor.

Profile: Google Scholar | Staff Page

Featured Publication

  • Wang, T., Wang, M., Wang, J., Yang, L., Ren, X., Song, G., Chen, S., Yuan, Y., Liu, R., Pan, L., Li, Z., Leow, W. R., Luo, Y., Ji, S., Cui, Z., He, K., Zhang, F., Lv, F., Tian, Y., Cai, K., Yang, B., Niu, J., Zou, H., Liu, S., Xu, G., Fan, X., Hu, B., Loh, X. J., Wang, L., & Chen, X. (2022). A chemically mediated artificial neuron. Nature Electronics, 5, 586–595.

  • Wang, T., Lei, Q. L., Wang, M., Deng, G., Yang, L., Liu, X., Li, C., Wang, Q., Liu, Z., Wang, J., Cui, Z., Utama, K. G., Ni, R., & Chen, X. (2020). Mechanical tolerance of cascade bioreactions via adaptive curvature engineering for epidermal bioelectronics. Advanced Materials, 32, 2000991.

  • Wang, T., Wang, M., Yang, L., Li, Z., Loh, X. J., & Chen, X. (2020). Cyber-physiochemical interfaces. Advanced Materials, 32, 1905522.

  • Guo, L., Wang, T., Wu, Z., Wang, J., Wang, M., Cui, Z., Ji, S., Cai, J., Xu, C., & Chen, X. (2020). Portable food freshness prediction platform based on colorimetric barcode combinatorics and deep convolutional neural networks. Advanced Materials, 32, 2004805.

  • Wang, T., Qi, D., Yang, H., Liu, Z., Wang, M., Leow, W. R., Chen, G., Yu, J., He, K., Cheng, H., Wu, Y. L., Zhang, H., & Chen, X. (2019). Tactile chemomechanical transduction based on an elastic microstructured array to enhance the sensitivity of portable biosensors. Advanced Materials, 31, 1803883.

 

 

Mingkai Yang | Engineering | Best Researcher Award

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Mr. Mingkai Yang | Engineering | Best Researcher Award

Dalian Maritime University | China

Mr. Mingkai Yang is a dedicated student at Dalian Maritime University, pursuing his Bachelor of Science degree with a strong focus on computer vision and machine learning. His academic journey reflects a passion for exploring cutting-edge technologies in visual perception and intelligent systems, particularly within the field of Simultaneous Localization and Mapping (SLAM). He has contributed to the research community through completed projects and publications, including the development of MSGS-SLAM, a real-time semantic SLAM system built upon 3D Gaussian Splatting for monocular cameras. This work integrates semantic labels with geometric priors to achieve robust and accurate reconstruction, enabling high-fidelity rendering and providing dense semantic maps for enhanced scene understanding. His research demonstrates state-of-the-art performance in both pose estimation and mapping, reflecting his ability to combine theoretical knowledge with practical innovation. Beyond his independent contributions, he has collaborated with academic mentors, such as Associate Professor Fei Wang, further strengthening his foundation in advanced computational methods and interdisciplinary research. Mingkai also gained exposure to consultancy and industry-related projects, showcasing his ability to apply academic insights to practical challenges. With growing expertise in SLAM and computer vision, he is driven to advance his knowledge and contribute to the broader field of artificial intelligence and robotics, aiming to solve real-world problems through innovative approaches. His commitment to academic excellence, technical innovation, and collaborative research marks him as a promising young scholar with the potential to make significant contributions to science and technology in the coming years.

Profile: ORCID

Featured Publication

Yang, M., Ge, S., & Wang, F. (n.d.). MSGS-SLAM: Monocular Semantic Gaussian Splatting SLAM.

Takwa Hamdi | Energy Technologies | Best Researcher Award

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Ms. Takwa Hamdi | Energy Technologies | Best Researcher Award

PhD Candidate in Mechanical and Energy Engineering | University of Gabes | Tunisia

Ms. Takwa Hamdi is a dedicated PhD student in Mechanical and Energy Engineering at the National Engineering School of Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. With a strong academic foundation, she has pursued her bachelor’s, master’s, and doctoral studies in mechanical engineering with excellence, graduating as class valedictorian during her master’s program. Her research focuses on dual-fuel engine combustion, particularly the use of light alcohols and hydrogen in internal combustion engines, employing advanced numerical simulation tools such as ANSYS Forte, Matlab, Abaqus, SolidWorks, and CFD-based approaches. Driven by a passion for sustainable energy solutions, she is motivated to contribute to the development of low-emission technologies that address global energy challenges. Alongside her research, Takwa serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, CAD using SolidWorks, welding, and mechanical design projects, combining theoretical knowledge with hands-on applications to support student learning. She has also gained experience in developing educational materials, supervising student projects, and guiding practical workshops, which highlights her strong communication and leadership skills. Fluent in Arabic, French, and English, she is able to collaborate effectively in international and multicultural environments. Beyond her academic and teaching career, she demonstrates strengths in analytical thinking, problem-solving, and research innovation, with interests in technology, cultural exploration, and community volunteering. Motivated, research-oriented, and passionate about innovation, Takwa aims to further her expertise by contributing to cutting-edge projects in energy, combustion, and sustainability through collaborative scientific research and internships.

Profile: Scopus | LinkedIn | ResearchGate

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H2 substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, Elsevier.

Hamdi, T., Hamdi, F., Molima, S., Hernandez, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, ASME.

Wang Yuxin | Terahertz | Best Researcher Award

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Ms. Wang Yuxin | Terahertz | Best Researcher Award

Henan University of Technology | China

Wang Yuxin is a highly motivated and accomplished undergraduate student majoring in Internet of Things Engineering at Henan University of Technology, expected to graduate in 2026. With an outstanding academic record, she ranks in the top one percentage of her class, maintaining , and has received multiple scholarships and honors, including the Henan Province Three Good Students award and the School Outstanding Student Scholarship. Her academic excellence spans core courses such as Data Structures and Algorithms, Algorithm Analysis and Design, Database Systems, Java Programming, and Object-Oriented Programming. Wang Yuxin has actively engaged in innovative research projects, including a Micro-wind Power Generation Device and Online Monitoring Platform, where she managed sensor data acquisition, data cleaning, feature engineering, and predictive modeling using LightGBM, with real-time data uploaded to Alibaba Cloud. She also contributes to gold price forecasting and data analysis, developing ARIMA and Random Forest models to improve prediction accuracy. Beyond academics, she has participated in campus practices such as refereeing at the World Robotics Competition Finals, assisting in the NeuroMaster Brain Science AI Challenge, and volunteering for China-Taiwan exchange programs, fostering cultural communication. Her achievements include winning national and provincial awards in competitions, earning multiple patents, software copyrights, and publishing research papers. Wang Yuxin is proficient in C/C++ and Python, skilled in Linux and office software, and possesses a sunny, optimistic personality with strong communication skills. She enjoys running and photography and demonstrates resilience and dedication in both academic and extracurricular pursuits.

Profile: Scopus

Featured publication

Ge, H., Cao, W., Wang, S., Ji, X., Jiang, Y., Liu, X., Zhou, Y., Zhang, Y., Sun, Q., & Wang, Y. (2025). Reverse design of three-band terahertz metamaterial sensor. Nanomaterials.

Muhammad Irfan Khan | Deep Learning | Best Researcher Award

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Mr. Muhammad Irfan Khan | Deep Learning | Best Researcher Award

University of Electronic Science and Technology of China | China

Muhammad Irfan Khan is a dedicated ML Security Engineer, researcher, and academic professional specializing in artificial intelligence, cybersecurity, and image processing, currently pursuing his M.S. in Information and Communication Engineering at the University of Electronic Science and Technology of China (UESTC), Chengdu. He has worked as a Machine Learning & Security Engineer at Victoriam.ai Solution, USA, where he developed threat detection models and optimized real-time security frameworks, and as a Research Intern at LinkDoc Technology, contributing to medical image segmentation advancements. At Namal University, Pakistan, he gained substantial experience as a Research Assistant, Teaching Assistant, and Lab Engineer, supporting AI/ML research, supervising projects, and co-authoring multiple peer-reviewed publications. His research contributions include journal articles such as “Genetic Algorithm Based Hybrid Deep Learning Framework for Stability Prediction of ABO3 Perovskites in Solar Cell Applications” (Energies, 2025), “Forecasting Fluctuations in Cryptocurrency Trading Volume Using a Hybrid LSTM-DQN Reinforcement Learning” (Digital Finance Journal, 2025), “Machine Learning-Powered Malware Detection in Encrypted IoT Traffic” (IEEE Journal of IoT, 2024), and “Decoding Emotions: U-Net-Driven Pattern Recognition for fMRI Analysis” (IEEE Transactions on Medical Imaging, 2025), along with conference proceedings in ICICT and IBCAST. He has served as a reviewer for international journals and conferences, including Computational Economics (Springer), Scientific Reports (Nature), and AAAI-26. His technical strengths span deep learning, reinforcement learning, cybersecurity, computer vision, and data-driven optimization, while also excelling in leadership and collaborative research. Despite his growing recognition, his current Scopus/Google Scholar profile records 2 documents reflecting his early yet impactful stage in research.

Profile: Scopus | LinkedIn

Featured Publication

Wali, S., Khan, M. I., & Zulfiqar, N. (2025). Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning. Digital Finance Journal.

 

Mr. Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

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Kiya Kefeni Benti | Civil Engineering | Best Researcher Award

PhD Scholar | University of Johannesburg | South Africa

Kiya Kefeni Benti is a distinguished water resources engineer and academic with extensive expertise in hydrology, climate change, and environmental impact assessment. Currently a lecturer and researcher at Adama Science and Technology University, Ethiopia, he leads the Department of Water Resources Engineering and actively contributes to the Water Resources and Irrigation Engineering Center of Excellence. Kiya holds a Ph.D. (ongoing) in Civil Engineering (Water Engineering) from the University of Johannesburg, South Africa, where his research focuses on modeling climate change impacts on hydrological processes and estimating groundwater recharge in the Olifants River Basin for sustainable water resource management. He earned his MSc in Water Resources Engineering (Very Great Distinction) from Adama Science and Technology University, with a thesis on assessing climate change impacts on water availability in the Upper Awash Sub-Basin, Ethiopia, and a BSc in Water Resources and Irrigation Engineering (Distinction) from the same institution. Kiya is a registered professional engineer with APEGA and APEGS, recognized for his strong problem-solving skills, teamwork, and leadership in both research and teaching. His professional training includes advanced hydrologic and spatial analysis, remote sensing for agriculture, WaPOR-based water productivity analysis, and Python-based geospatial modeling. His research interests span hydrology, watershed management, integrated water resources management, hydro-informatics, climate change impact assessment, surface and groundwater modeling, irrigation water demand, and land and water productivity. Kiya has published impactful research, including the 2025 article “Assessing Streamflow Response to Climate Change Under Shared Socioeconomic Pathways in the Olifants River Basin, South Africa”. He has received multiple awards for academic excellence, including gold medal recognition for his MSc performance. His contributions have earned him an h-index reflecting scholarly impact, and he continues to mentor graduate students while advancing sustainable water management practices.

Profile: ORCID | Linked In

Featured Publication

Benti, K. K., Dinka, M. O., Rwanga, S. S., & Aredo, M. R. (2025). Assessing streamflow response to climate change under shared socioeconomic pathways (SSPs) in the Olifants River Basin, South Africa. Hydrology, 12, 244.

 

Ms. Megan Knapp | Capstone Project | Best Research Article Award

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Megan Knapp | Capstone Project | Best Research Article Award

Clinical Resident in Prosthetics and Orthotics | Hanger Clinic | United States

Ms. Megan Knapp is an accomplished healthcare professional specializing in Prosthetics and Orthotics, with a strong academic foundation and extensive clinical and technical experience that bridges theory and patient-centered practice (Knapp, 2025). She is currently pursuing her Master of Science in Prosthetics and Orthotics at Kennesaw State University, where she maintains while working part-time as a Paramedic, serving as a Graduate Research Assistant to Dr. Mark Geil on the Infant Crawling Study, and participating in the student-led organization POP – Promoting Orthotics and Prosthetics. Her academic journey began with a Bachelor of Science in Health Care Studies from the University of Texas at Dallas, where she maintained authored a comprehensive research paper on Prosthetics and Orthotics in Pediatrics and Young Adults (University of Texas at Dallas, 2022). Megan’s clinical experience spans over 500 hours across multidisciplinary environments, including Shriner’s Children’s Hospital, Children’s Healthcare of Atlanta, Scottish Rite Hospital, and the Veteran’s Administration Medical Center, providing her with skills in patient care, orthotic design, and prosthetic fabrication. She has further honed her technical expertise through hands-on fabrication training at Hanger Central Fabrication and the Children’s Healthcare of Atlanta Lab. Professionally, Megan has served as a Paramedic with American Medical Response since 2014, delivering advanced emergency medical interventions in high-pressure scenarios, and more recently as a Clinical Resident at Hanger – Spring Hill, specializing in treating pediatric patients with lower limb dysfunctions, scoliosis, cranial remolding, and prosthetics. Dedicated to research, innovation, and community engagement, she has contributed to academic documents, clinical reports, and awareness initiatives for limb differences through volunteer work with Blaze Sports and Camp No Limb-itations. With strong communication, problem-solving, and fabrication skills, Megan Knapp continues to demonstrate her commitment to advancing patient outcomes through evidence-based practice and hands-on innovation .

Profile : Google Scholar | LinkedIn

Featured Publication

Geil, M. D., Cannoy, J., Stockwell, E., Coulter, C., Knapp, M., Blackwelder, L., & others. (2025). Understanding weightbearing symmetries during crawling in typically developing infants and infants with limb loss. Symmetry, 17(9).

 

Dr. Zeinab Ramezani | High Power Devices | Best Researcher Award

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Zeinab Ramezani | High Power Devices | Best Researcher Award

Principle Design Engineer | Onsemi | United States

Dr. Zeinab Ramezani is an accomplished researcher and engineer specializing in semiconductor device physics, nanotechnology, bioelectronics, and optoelectronic devices, with a strong focus on theory, simulation, modeling, and characterization of advanced electronic and biomedical systems. She currently serves as a Principle Design Engineer in the R&D Department at the Power Solution Group in Scottsdale, Arizona, and has previously held roles as Senior Research Scientist and Lecturer in the Department of Electrical and Computer Engineering at the University of Miami, where she contributed to NSF and DARPA projects exploring multifunctional nanoparticles for neural stimulation and brain-computer interfaces. Earlier, she was a Research Scientist at Northeastern University and an Assistant Professor at Islamic Azad University in Tehran, Iran. She holds dual Ph.D. degrees in Electrical and Computer Engineering from the University of Miami, with research on nanomagnetics and biomedical applications, and in Electrical and Electronic Engineering from Semnan University, Iran, where her work focused on nanoscale semiconductor devices. With extensive teaching experience across undergraduate and graduate levels, she has supervised more than 80 theses, reviewed over 40 research projects, and established electronics and FPGA laboratories. Her technical expertise spans computational tools such as MATLAB, Silvaco, Cadence, and COMSOL, as well as experimental skills in nanoparticle synthesis, device fabrication, and optoelectronic characterization. Dr. Ramezani has received multiple honors including the Best Researcher Award (ScienceFather, 2024 and 2025), the College of Engineering Fellowship at the University of Miami, and recognition as a top female inventor and professor in Iran. She is a member of Iran’s National Elites Foundation and has a strong academic record, ranking first across her B.Sc., M.Sc., and Ph.D. programs. Her impactful contributions are reflected in 1,243 citations, 59 published documents, and an h-index of 21, underscoring her influence in advancing semiconductor and biomedical research.

Profile: Scopus | ORCID | Google Scholar | Linked IN

Featured Publications

  • Ahmadivand, A., Gerislioglu, B., Ramezani, Z., Kaushik, A., Manickam, P., … (2021). Functionalized terahertz plasmonic metasensors: Femtomolar-level detection of SARS-CoV-2 spike proteins. Biosensors and Bioelectronics, 112971.

  • Ahmadivand, A., Gerislioglu, B., & Ramezani, Z. (2019). Gated graphene island-enabled tunable charge transfer plasmon terahertz metamodulator. Nanoscale, 11(17), 8091-8095.

  • Ahmadivand, A., Gerislioglu, B., Ramezani, Z., & Ghoreishi, S. A. (2019). Attomolar detection of low-molecular weight antibiotics using midinfrared-resonant toroidal plasmonic metachip technology. Physical Review Applied, 12(3), 034018.

  • Ahmadivand, A., Gerislioglu, B., & Ramezani, Z. (2019). Generation of magnetoelectric photocurrents using toroidal resonances: A new class of infrared plasmonic photodetectors. Nanoscale, 11(27),

  • Anvarifard, M. K., Ramezani, Z., & Amiri, I. S. (2020). High ability of a reliable novel TFET-based device in detection of biomolecule specifies—A comprehensive analysis on sensing performance. IEEE Sensors Journal, 21(5), 6880-6887.

 

Mr. Xing Zhou | Microfluidics | Best Researcher Award

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Xing Zhou | Microfluidics | Best Researcher Award

Researcher | Xihua University | China

Mr. Xing Zhou is a dedicated researcher at Xihua University, specializing in the fields of microfluidics, ferrofluids, and micropump technologies, with a strong focus on advancing liquid-liquid coupling mechanisms and optimization methods between magnetic fluid and medium fluid in mechanical ferrofluid micro-/mini-pumps. He has recently completed a significant research project and published a review article that comprehensively compares the characteristics and performance of mechanical micropumps and ferrofluid micropumps, aiming to provide future researchers with an accessible and reliable reference in micropump research. His academic journey is marked by innovation, as evidenced by six patents that have been published or are under process, highlighting his commitment to bridging theoretical research with practical applications. Additionally, he has contributed to the international research community through one journal publication indexed in leading databases such as SCI/Scopus, with his work achieving recognition reflected in 4 citations across 4 documents and an h-index of 1. These metrics demonstrate the growing impact and relevance of his research in the global scientific community. While he has not yet engaged in consultancy or industry-sponsored projects, editorial appointments, or major collaborations, his contributions to micropump technology are building academic visibility and establishing a foundation for future advancements in microfluidics and ferrofluid research. As an emerging researcher, he continues to focus on enhancing the performance and applicability of micropumps, with a vision to expand the scope of his work into broader industrial and biomedical applications. His scholarly contributions, combined with his innovation-driven mindset, position him as a promising candidate for the Best Researcher Award.

Profile : Scopus

Featured Publication

Zhou, X., Li, Z., Han, B., Guo, Q., & Qing, Z. (2025). Performance comparison of mechanical and ferrofluidic micropumps: Structural and operational perspectives

 

 

Mr. Lou Wandong | Operation Management | Best Researcher Award

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Lou Wandong | Operation Management | Best Researcher Award

Associate Professor | Shandong Normal University | China

Dr. Wandong Lou is a dedicated scholar and educator currently serving as a faculty member at the Business School of Shandong Normal University since 2018, with over a decade of prior teaching and administrative experience at Shandong Yingcai University, where he worked as Deputy Director of the Basic Education Department and earlier as a mathematics teacher. He holds a Ph.D. in Management Science and Engineering from Tianjin University (2018), an M.S. in Applied Mathematics from Shandong University (2011), and a B.S. in Mathematics and Applied Mathematics from Shandong Normal University (2004). His research interests center on dynamic Stackelberg games, the bullwhip effect in complex supply chains, and nonlinear dynamics in supply chain and economic systems. He has made significant scholarly contributions through publications in leading journals such as RAIRO-Operations Research, Annals of Operations Research, Applied Mathematical Modelling, Entropy, Complexity, and the International Journal of Bifurcation and Chaos. Notable works include studies on bullwhip effect entropy analysis, complexity of multichannel supply chains, and the impact of dual fairness concerns on bargaining games. He has actively participated in major funded projects, including those supported by the National Social Science Foundation of China and the National Natural Science Foundation of China, as well as leading provincial-level research initiatives. Proficient in computational tools such as Matlab, Mathematica, R, and Lingo, Dr. Lou combines rigorous mathematical modeling with practical applications in supply chain management. His academic impact is reflected in 243 citations across 13 publications with an h-index of 8, underscoring the relevance and influence of his research in the field of management science and applied mathematics.

Profile: Scopus

Featured Publications

Ma, J., Lou, W., & Wang, Z. (2022). Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: Aggravation or mitigation? RAIRO-Operations Research, 56(4), 2093-2114.

Ma, X., Bao, C., Li, J., & Lou, W. (2022). The impact of dual fairness concerns on bargaining game and its dynamic system stability. Annals of Operations Research, 1-26.

Lou, W., & Ma, J. (2018). Complexity of sales effort and carbon emission reduction effort in a two parallel Bertrand household appliance supply chain model. Applied Mathematical Modelling, 64, 398-425.

Lou, W., Ma, J., & Zhan, X. (2017). Bullwhip entropy analysis and chaos control in the supply chain with sales game and consumer returns. Entropy, 19(2), 64.

Ma, J., & Lou, W. (2017). Complex characteristics of multichannel household appliance supply chain with the price competition. Complexity, Article ID 4327069, 12 pages.

Ma, J., Yang, W., & Lou, W. (2017). Research on bifurcation and chaos in a dynamic mixed game system with oligopolies under carbon emission constraint. International Journal of Bifurcation and Chaos, 27(10), 1750158.

Ma, J., Ma, X., & Lou, W. (2016). Analysis of the complexity entropy and chaos control of the bullwhip effect considering price of evolutionary game between two retailers. Entropy, 18(11), 416.