Mr Daniele Iannarelli | Ingegneria aerospaziale | Best Researcher Award

Dottorando,La Sapienza University of Rome, Italy

Daniele Iannarelli is a passionate and driven researcher with notable strengths in innovation, collaboration, and the impact of his published work. His dedication to advancing knowledge is evident in the contributions he has made to his field, and his academic excellence positions him well for future successes.

Publication Profile

scopus

Education :

High School Diploma
Institution: Liceo Scientifico Giovan Battista Grassi, Latina (LT), Italy
Period: 02/09/2007 – 09/06/2012
Final Grade: 100/100
A solid foundation in scientific studies, culminating in a top score in high school.,Bachelor’s Degree in Aerospace Engineering
Institution: La Sapienza University of Rome
Period: 09/10/2012 – 02/11/2015
Final Grade: 90/110
Gained in-depth knowledge in core aerospace engineering subjects such as thermodynamics, rational mechanics, and aerospace propulsion.,Master’s Degree in Space and Astronautical Engineering
Institution: La Sapienza University of Rome
Period: 02/10/2015 – 20/01/2019
Final Grade: 108/110
Focused on launcher flight mechanics, spacecraft design, and space robotic systems, with a particular emphasis on space propulsion.,Second-Level Master’s Course in Space Transportation Systems: Launchers and Re-entry Vehicles
Institution: La Sapienza University of Rome
Period: 06/01/2019 – 30/12/2019
Final Grade: 109/110
Enhanced expertise in space systems, including rocket nozzles, aerothermodynamics, and the design of launchers and re-entry vehicles.,PhD
Institution: Friedrich-Alexander-Universität (FAU), Nuremberg, Germany
Period: 14/03/2020 – 30/08/2020
Research Project: Optical measurement for fuel mixing in constant volume chambers; dual-fuel technology for heavy-duty engines.,Special Master of Aerospace Engineering
Institution: Scuola di Ingegneria Aerospaziale, La Sapienza University of Rome
Period: 27/09/2020 – 17/12/2021
Final Grade: 107/110
Focused on hybrid propulsion, advanced control of space vehicles, and design of electronic systems for space.,PhD (Current)
Institution: Scuola di Ingegneria Aerospaziale, La Sapienza University of Rome
Period: 10/01/2022 – Present
Research Project: Plasma thrusters design for sustainable space transportation.

Research Focus:

Institution: Scuola di Ingegneria Aerospaziale, La Sapienza University of Rome
Period: 15/01/2025 – Present
Engaged in cutting-edge research in aerospace engineering, particularly related to plasma thrusters and space propulsion technologies.

Skills:

Programming Languages: Matlab, Simulink
Software: CFD simulations and fluid dynamics visualization, Windows Office, LaTeX for document writing
Languages:Italian: Native,English: B1-B2,German: A1

Publication :

Iannarelli, D., et al. (2022). Plasma thruster design through a predictive model of the Proto-sphera experiment arc state. Poster presented at the Symposium SYNC 2022.
Iannarelli, D., et al. (2022). A new indirect measurement method of the electron temperature for the Proto-sphera’s pinch plasma. Poster presented at the 6th International Conference on Frontiers in Dusty Plasmas (ICFDT) and publication in the Journal of Instrumentation (JINST).
Iannarelli, D., et al. (2022). New space plasma propulsion activities in ENEA C.R. Frascati. Poster presented at the ASI workshop.
Iannarelli, D., et al. (2022). Full helicon thruster modeling. Proceedings of the 38th International Electric Propulsion Conference (IEPC).
Iannarelli, D., et al. (2022). A rational design method for the Nagoya type-III antenna. Aerospace Journal.

conclusion:

Daniele’s research contributions make him a standout candidate for the Best Researcher Award. With minor improvements in time management, broader outreach, and leadership, he has the potential to further elevate his work and make an even more significant impact. His strengths in research innovation and collaboration make him deserving of recognition, and with continued growth, he will undoubtedly continue to contribute greatly to his field.

Dr.Yang Liu | Innovation| Best Researcher Award

Dr , Yang Liu, Xi’an Jiaotong University,China .

Dr. Yang Liu is a prominent scholar at Xi’an Jiaotong University in China. With a focus on advanced research in [specific field or discipline], Dr. Liu has made significant contributions to [mention any specific areas or projects]. Dr. Liu’s work is widely recognized in both national and international circles, demonstrating a strong commitment to academic excellence and innovation. Dr. Liu is actively engaged in various research collaborations, contributing to the advancement

Summary:

Liu’s research focuses on Human-Computer/AI Interaction, Virtual and Augmented Reality (VR/AR), AI Governance, and the societal impacts of information systems. Liu has secured significant research funding, including a National Natural Science Foundation of China grant and a Hong Kong Research Grants Council grant, for projects exploring virtual reality interaction design and mobile touch experience design.

Professional Profiles:

Scopus

Education :

Yang Liu earned his Ph.D. in Information Systems & Analytics from the National University of Singapore in 2018. Prior to that, he completed his M.Sc. in Information Resources Management at Renmin University of China in 2013, and his B.Mgt. in Information Systems at Renmin University of China in 2011. His strong academic background laid the foundation for his research and teaching in Information Systems, Human-Computer Interaction, and AI governance.

Work Experience:

Yang Liu is currently serving as an Associate Professor in the Department of Information Systems and Intelligent Business at the School of Management, Xi’an Jiaotong University, a position he has held since July 2023. Before that, he worked as an Assistant Professor in the same department from October 2020 to June 2023. His academic journey also includes a Research Fellowship at the National University of Singapore, where he contributed to both the School of Computing and the School of Business from March 2018 to September 2020.

Skills:

Dr. Liu is proficient in a variety of statistical software, including SPSS, STATA, Tobii Studio, AMOS, and SmartPLS. His programming skills span Python, R, SQL, HTML/CSS, and JavaScript. Additionally, he is adept at utilizing survey platforms such as Prolific, Amazon Mechanical Turk, Qualtrics, and Credamo. Fluent in Mandarin (native) and English (proficient), Dr. Liu is well-equipped to engage in both local and international research collaborations.

Research Focus:

Dr. Liu’s research interests lie at the intersection of Human-Computer/AI Interaction, Virtual and Augmented Reality (VR/AR), and the societal impacts of information systems. He is particularly interested in AI governance, the digital economy, and experimental methods that examine how technology interfaces influence behavior. His recent work has explored Blockchain-Driven Decentralized Identity Management and the effects of mobile touch modes on user self-regulation, pushing the boundaries of our understanding of digital engagement.

Awards and Recognitions:

Yang Liu has received multiple prestigious research grants, including being the Principal Investigator for the National Natural Science Foundation of China (2023-2025), with a project focused on Virtual Reality Embodied Interaction Design and its impact on consumer online and offline purchase behavior. He also co-led a Hong Kong Research Grants Council project (2021-2024), investigating healthy behavior through mobile touch experience design. His research excellence is further recognized through his numerous editorial roles and service as Track Chair for international conferences.

Conclusion:

Yang Liu’s comprehensive educational background, significant research contributions, and active involvement in academic service make them a standout candidate for the Research for Best Researcher Award. Their innovative work in human-computer interaction, coupled with successful research grants and editorial responsibilities, underscores their impact on the field and their potential for continued contributions to the research community.

Publications :

Schisandrin Inhibits VSMCs Proliferation and Migration
- Authors: Huang, Q., Liu, X., Yu, J., Niu, X., Li, W.
- Journal: Tissue and Cell
- Year: 2024
- Abstract: This study explores how Schisandrin affects vascular smooth muscle cell (VSMC) proliferation and migration by arresting the cell cycle and targeting JAK2 to regulate the JAK2/STAT3 signaling pathway.

Novel Disulfidptosis-Derived Gene Blueprint Stratifying Patients with Breast Cancer
- Authors: Tang, X., Ping, B., Liu, Y., Zhou, Y.
- Journal: Environmental Toxicology
- Year: 2024
- Abstract: This research introduces a gene blueprint derived from disulfidptosis to stratify breast cancer patients, potentially improving personalized treatment strategies.

Distinctive Cortical Morphological Patterns in Primary Trigeminal Neuralgia
- Authors: Xu, H., Liu, Y., Zeng, W.-T., Fan, Y.-X., Wang, Y.
- Journal: Neuroradiology
- Year: 2024
- Abstract: This cross-sectional study examines cortical morphological patterns in patients with primary trigeminal neuralgia, aiming to enhance diagnostic accuracy and treatment approaches.

The Inhibitory Impact of Schisandrin on Inflammation and Oxidative Stress Alleviates LPS-Induced Acute Kidney Injury
- Authors: Liu, X., Huang, Q., Li, W., Niu, X., Li, W.
- Journal: Biotechnology and Applied Biochemistry
- Year: 2024
- Abstract: This article investigates how Schisandrin reduces inflammation and oxidative stress to mitigate acute kidney injury induced by lipopolysaccharides (LPS).

The Prognostic Significance of Further Axillary Dissection for Sentinel Lymph Node Micrometastases in Female Breast Cancer
- Authors: Zhou, Y., Pu, S., Jiang, S., Ren, Y., Hao, N.
- Journal: Frontiers in Oncology
- Year: 2022
- Abstract: This study assesses the prognostic value of further axillary dissection for sentinel lymph node micrometastases in female breast cancer using data from the SEER database.

Identification of Necroptosis-Related Subtypes and Prognosis Model in Triple Negative Breast Cancer
- Authors: Pu, S., Zhou, Y., Xie, P., He, J., Hao, N.
- Journal: Frontiers in Immunology
- Year: 2022
- Article ID: 964118
- Abstract: This paper identifies necroptosis-related subtypes in triple-negative breast cancer and proposes a prognosis model based on these subtypes.

MicroRNA-4487 Regulates Vascular Smooth Muscle Cell Proliferation, Migration, and Apoptosis by Targeting RAS p21 Protein Activator 1
- Authors: Liang, X., Hu, M., Yuan, W., Bai, C., Yuan, Z.
- Journal: Pathology Research and Practice
- Year: 2022
- Article ID: 153903
- Abstract: This study reveals how MicroRNA-4487 modulates vascular smooth muscle cell behaviors through the targeting of RAS p21 protein activator 1.

Mining the Prognostic Significance and Immune Infiltration of STAT Family Members in Human Breast Cancer by Bioinformatics Analysis
- Authors: Zhou, Y., Jiang, S., Yu, S., Hao, N., Ren, Y.
- Journal: Gland Surgery
- Year: 2022
- Abstract: This bioinformatics study explores the prognostic significance and immune infiltration of STAT family members in breast cancer.

Ultrasound Targeted Microbubble Destruction-Mediated SOCS3 Attenuates Biological Characteristics and Epithelial-Mesenchymal Transition (EMT) of Breast Cancer Stem Cells
- Authors: Tang, X., Hao, N., Zhou, Y., Liu, Y.
- Journal: Bioengineered
- Year: 2022
- Abstract: This article investigates how ultrasound targeted microbubble destruction affects SOCS3 to alter breast cancer stem cell characteristics and EMT.

Bacteriophage Twort Protein Gp168 is a β-Clamp Inhibitor by Occupying the DNA Sliding Channel
- Authors: Liu, B., Li, S., Liu, Y., Wang, Y., Zhang, K.
- Journal: Nucleic Acids Research
- Year: 2021
- Abstract: This study details how the Twort bacteriophage protein Gp168 functions as a β-clamp inhibitor by binding to the DNA sliding channel.