Vaishnavee Rathod | Analysis | Best Researcher Award

Ms. Vaishnavee Rathod | Analysis | Best Researcher Award

Research Scholar, Department of Computer Science Engineering SVNIT SURAT INDIA India

Vaishnavee Vijay Rathod is a Ph.D. candidate at SVNIT Surat, focusing on remote sensing and deep learning. She has earned her B.E., M.Tech., and is currently pursuing her Ph.D., with a specialized focus on satellite imaging, machine learning, and image processing. Vaishnavee has published multiple papers in renowned journals and conferences, contributing significantly to the fields of medical image analysis, remote sensing, and AI-based systems. She has also received recognition for her work, including the Best Paper Award at an international conference in 2020. Her innovative research on vehicle detection using computer vision and AI has gained attention in smart city development.

 

Publication Profile

Scopus Scholar

🎓 Education

Vaishnavee completed her B.E. in Electronics and Telecommunication in 2018 from Thakur College of Engineering and her M.Tech. in Electronics and Digital Image Processing from GHRIET Nagpur in 2020. She is currently pursuing a Ph.D. in Satellite Imaging and Deep Learning at SVNIT Surat, specializing in deep learning-driven satellite image classification. Throughout her academic journey, she has achieved distinction and published several research papers in prominent conferences and journals.

💼 Experience

Vaishnavee has significant experience as a research scholar in deep learning and image processing. Her Ph.D. research includes the development of models for satellite image analysis and AI-based vehicle detection systems using UAV data. She has contributed to over 10 publications, including SCI-indexed journals and prestigious conferences. Additionally, Vaishnavee has been a recipient of several project funding awards, including SSIP 2.0 funding for her “RoadMitra” AI-based system project, showcasing her expertise in smart city technologies.

🏆 Awards & Honors

Vaishnavee has been recognized for her research contributions, including the “Best Paper Award” at the International Conference on Engineering Systems Design and Optimization in 2020. She has received various honors, including funding under SSIP 2.0 for her smart city project “RoadMitra,” aimed at detecting road issues using UAVs. Additionally, she has won awards for her research excellence and has received numerous accolades for her participation in international conferences and workshops.

🔬 Research Focus

Vaishnavee’s research focuses on the intersection of satellite imaging, remote sensing, and deep learning. She works on developing deep learning models for efficient satellite image classification and vehicle detection systems using UAV technology. Her work also extends to image enhancement, biomedical image processing, and AI applications in smart city infrastructure. Vaishnavee’s research contributes to the development of innovative solutions for urban challenges, including road crack detection, traffic analysis, and the enhancement of healthcare technologies using AI.

Publication Top Notes

  • Title: Deep learning-driven UAV vision for automated road crack detection and classification
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Journal: Nondestructive Testing and Evaluation (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: Road Crack Detection and Classification Using UAV and Deep Transfer Learning Optimization
    • Authors: Rathod, V., Rana, D., Mehta, R.
    • Journal: Journal of the Indian Society of Remote Sensing (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: A computer vision approach to vehicle detection, classification, and tracking from UAV data for Indian traffic analysis
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G., Nath, V.
    • Journal: IETE Journal of Research (2024)
    • Citations: 0
    • Status: Article in Press

 

  • Title: An Extensive Review of Deep Learning Driven Remote Sensing Image Classification Models
    • Authors: Rathod, V.V., Rana, D.P., Mehta, R.G.
    • Conference: Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT 2022)
    • Citations: 4

 

MARÍA JOSÉ RUIZ LEAL| Toxicología | Best Researcher Award

Prof. Dr. MARÍA JOSÉ RUIZ LEAL| Toxicología | Best Researcher Award

Prof. Dr at University of Valencia,  Spain

Dr. María José Ruiz Leal, born on March 2, 1968, in Spain, is a distinguished Full Professor at the Universitat de València’s Department of Preventive Medicine and Public Health. With a career spanning over two decades, she has significantly contributed to toxicology and food science, specializing in in vitro and in vivo studies related to pesticides and mycotoxins. Dr. Ruiz Leal has been part of multiple academic roles, growing from Associate Professor to Full Professor since 2018. She coordinates the Master’s program in Food Quality and Safety at UV and leads the RiskTox research group. A European Registered Toxicologist since 2018, she is recognized for her extensive research portfolio and mentorship, supervising numerous doctoral theses and authoring over 130 scientific publications.

Profile

Orcid

Education 🎓

Dr. María José Ruiz Leal’s educational journey began at the Universitat de València (UV), where she earned her First Degree in Pharmacy in 1992, laying the foundation for her future in academic and applied toxicology. In 1997, she completed her PhD in Pharmacy, obtaining European certification, which equipped her with expertise in pharmaceutical sciences and toxicological research. Her education laid the groundwork for her focus on public health and safety, integrating in-depth studies on food sciences and toxicology. With continuous professional development, Dr. Ruiz Leal gained credentials as a European Registered Toxicologist (ERT) in 2018, underscoring her commitment to advancing toxicological standards and education.

Experience 🧑‍🏫

Dr. María José Ruiz Leal’s extensive career at the Universitat de València (UV) commenced in 1998 with teaching and research roles, evolving from Assistant to Full Professor by 2018. Her work includes academic coordination of the Master’s in Food Quality and Safety program since 2023. She has directed numerous research initiatives, leading eight significant projects and collaborating in about 20 regional, national, and international studies. Her focus lies in evaluating chemical impacts through in vitro cell cultures and in vivo methods, contributing to over 200 scientific congresses and publishing 131 papers in peer-reviewed journals, 90 of which are in Q1. Her experience is complemented by supervising 12 high-quality doctoral theses.

🏆 Awards and Honors

Dr. María José Ruiz Leal’s dedication and excellence in her field have been marked by numerous accolades. She boasts four sexenios of recognized research quality, the most recent in 2021, highlighting her sustained contributions to scientific production. Her doctoral theses supervision has been distinguished with quality mentions in the Food Science program. Her extensive publication record, with 131 articles and a significant h-index of 46, showcases the impact of her work, bolstered by 5,494 citations. As a European Registered Toxicologist since 2018, Dr. Ruiz Leal’s contributions to toxicology have been acknowledged within the scientific community and by her peers.

🔬 Research Focus

Dr. María José Ruiz Leal’s research is rooted in toxicology and food safety, focusing on the impact of pesticides and mycotoxins using both in vitro and in vivo methodologies. Her work explores the cellular and systemic effects of contaminants, utilizing advanced cell culture techniques to assess toxicity and safety in food products. As the director of the RiskTox research group at UV, she leads innovative projects investigating chemical exposures and public health risks. Her contributions span international collaborations, addressing challenges in toxicological research and advancing knowledge in food science. Her expertise supports the development of safer food practices and regulatory standards.

Conclusion

Dr. María José Ruiz Leal is an exemplary researcher who has demonstrated exceptional academic and scientific leadership over her distinguished career. Her extensive publication record, contributions to pioneering toxicological research, and leadership within scientific organizations make her highly deserving of the Best Researcher Award. Moving forward, expanding into new, emerging research areas and increasing her public engagement would further elevate her impact in the field.

Publications 📚

  • “Integrated Approach to Cyclopiazonic Acid Cytotoxicity Using In Vitro (2D and 3D Models) and In Silico Methods”
    • Authors: C. Martínez-Alonso, L. Izzo, Y. Rodríguez-Carrasco, MJ. Ruiz
    • Year: 2024
    • Journal: Toxins 16, 473
    • Citations: 3

 

  • “Amitraz mechanisms of cytotoxicity in a characterized SH-SY5Y cells spheroid model”
    • Authors: F. Franco-Campos, M. Fernández-Franzón, Y. Rodríguez-Carrasco, MJ. Ruiz
    • Year: 2024
    • Journal: Toxicology 509, 153987
    • DOI: Link

 

  • “Identification of Biotransformation Products of T-2 Toxin in HepG2 Cells Using LC-Q-TOF MS”
    • Authors: M. Taroncher, V. Zingales, Y. Rodríguez-Carrasco, MJ. Ruiz
    • Year: 2024
    • Journal: Foods 13 (10), 1501
    • DOI: Link

 

  • “Effect of Spirulina and Fish Processing By-Products Extracts on Citrinin-Induced Cytotoxicity in SH-SY5Y Cells”
    • Authors: FJ. Martí-Quijal, JM. Castagnini, FJ. Barba, MJ. Ruiz
    • Year: 2024
    • Journal: Foods 13 (12), 1932
    • DOI: Link

 

  • “Comparative Study of Spheroids (3D) and Monolayer Cultures (2D) for the In Vitro Assessment of Cytotoxicity Induced by the Mycotoxins Sterigmatocystin, Ochratoxin A and Patulin”
    • Authors: V. Zingales, MR. Esposito, M. Quagliata, E. Cimetta, MJ. Ruiz
    • Year: 2024
    • Journal: Foods 13 (4), 564
    • DOI: Link

 

  • “Chlorpyrifos induces cytotoxicity via oxidative stress and mitochondrial dysfunction in HepG2 cells”
    • Authors: C. Montanarí, F. Franco-Campos, M. Taroncher, Y. Rodríguez-Carrasco, V. Zingales, MJ. Ruiz
    • Year: 2024
    • Journal: Food Chemistry and Toxicology 192, 114933
    • DOI: Link

 

  • “Using Microfluidic Hepatic Spheroid Cultures to Assess Liver Toxicity of T-2 Mycotoxin”
    • Authors: M. Taroncher, AM. Gonzalez-Suarez, K. Gwon, S. Romero, AD. Reyes-Figueroa, Y. Rodríguez-Carrasco, MJ. Ruiz, G. Stybayeva, A. Revzin, JM. de Hoyos-Vega
    • Year: 2024
    • Journal: Cells

 

 

Abdessalem Jerbi | Simulation | Best Researcher Award

Prof. Abdessalem Jerbi | Simulation | Best Researcher Award

Prof at institut supérieur de gestion in dustrielle, Tunisia

Abdessalem Jerbi is an Assistant Professor at the High Institute of Industrial Management of Sfax, Tunisia, with a Ph.D. in Mechanical Engineering and Habilitation to Supervise Research. He specializes in the simulation and optimization of manufacturing systems, logistics, and healthcare operations. With over 22 years of teaching experience, he has supervised over 50 students’ graduation projects. His research contributions include developing decision tools for manufacturing layouts and optimizing COVID-19 vaccination center operations. Abdessalem is affiliated with the OLID-ISGI laboratory and actively participates in academic workshops and committees to enhance educational outcomes.

Publication profile

Current Position

  • Assistant Professor at the High Institute of Industrial Management of Sfax (ISGIS), Tunisia.

Educational Background

Habilitation to Supervise Research (HSR) (2023), University of Sfax, Tunisia. Ph.D. in Mechanical Engineering (2010), University of Sfax, focusing on manufacturing system layouts. M.Sc. in Industrial Engineering (2004), University of Sfax, analyzing manufacturing layouts. B.Sc. in Engineering (1999), University of Sfax, specializing in control systems.

Research Interests

  • Simulation of manufacturing systems, logistics chains, and healthcare infrastructure.
  • Design of experiments and optimization techniques in industrial processes.

Teaching Experience

Over 22 years in industrial management education, teaching courses such as Simulation of Industrial Systems, Design of Experiments, Predictive Maintenance Techniques, and Vibration Analysis. Supervised more than 50 students in various professional master’s programs.

Academic Activities

  • Active in organizing workshops and participating in various academic committees related to industrial engineering and logistics.
  • Contributed to research initiatives focusing on COVID-19 vaccination operations management and risk assessment in supply chains.

Publication

1. Performance Optimization of a Flexible Manufacturing System Using Simulation: The Taguchi Method Versus OptQuest
  • Authors: A Jerbi, A Ammar, M Krid, B Salah
  • Journal: Simulation
  • Volume: 95
  • Issue: 11
  • Pages: 1085-1096
  • Year: 2019
2. The Cellular Manufacturing Paradox: A Critical Review of Simulation Studies
  • Authors: H Chtourou, A Jerbi, AY Maalej
  • Journal: Journal of Manufacturing Technology Management
  • Volume: 19
  • Issue: 5
  • Pages: 591-606
  • Year: 2008
3. Comparing Functional and Cellular Layouts Using Simulation and Taguchi Method
  • Authors: A Jerbi, H Chtourou, AY Maalej
  • Journal: Journal of Manufacturing Technology Management
  • Volume: 21
  • Issue: 5
  • Pages: 529-538
  • Year: 2010
4. Design of Supply Chain Transportation Pooling Strategy for Reducing CO2 Emissions Using a Simulation-Based Methodology: A Case Study
  • Authors: A Jerbi, H Jribi, AM Aljuaid, W Hachicha, F Masmoudi
  • Journal: Sustainability
  • Volume: 14
  • Issue: 4
  • Article Number: 2331
  • Year: 2022
5. Functional VS Cellular Layout: Using Simulation as a Comparison Tool
  • Authors: A Jerbi, H Chtourou, AY Maalej, S Eni
  • Conference: Third International Conference on Advances in Mechanical Engineering
  • Year: 2006
6. Comparing Functional and Cellular Layouts: Simulation Models
  • Authors: A Jerbi, H Chtourou, AY Maalej
  • Journal: International Journal of Simulation Modelling
  • Volume: 8
  • Issue: 4
  • Pages: 215-224
  • Year: 2009
7. Multi-objective Design Optimization of Flexible Manufacturing Systems Using Design of Simulation Experiments: A Comparative Study
  • Authors: A Jerbi, W Hachicha, AM Aljuaid, NK Masmoudi, F Masmoudi
  • Journal: Machines
  • Volume: 10
  • Issue: 4
  • Article Number: 247
  • Year: 2022
8. Simulation Modeling Assessment and Improvement of a COVID-19 Mass Vaccination Center Operations
  • Authors: A Jerbi, F Masmoudi
  • Journal: Simulation
  • Volume: 99
  • Issue: 6
  • Pages: 553-572
  • Year: 2023

Conclusion 🎉

Abdessalem Jerbi exemplifies a dedicated academic and researcher with a robust educational foundation, significant teaching experience, and impactful research contributions in industrial engineering. His work on optimization and simulation addresses pressing issues in manufacturing, logistics, and public health, making him a valuable asset to the academic community. By enhancing his publication record and engaging in interdisciplinary collaborations, Abdessalem can further solidify his position as a leading researcher in his field. His commitment to education and mentorship also positions him as an ideal candidate for the Best Researcher Award.

Surjit Paul | Information Systems Security | Young Scientist Award

Mr. Surjit Paul | Information Systems Security | Best Researcher Award

Mr. Surjit Paul is a dedicated and research-oriented academic professional currently pursuing a Ph.D. at the Vinod Gupta School of Management, IIT Kharagpur. With a strong background in computer science and a focus on information security breaches and their impact on firm performance, Mr. Surjit Paul has a proven track record of excellence in both teaching and research. Holding an M.Tech from NIT Jamshedpur and an MCA from Biju Patnaik University, Mr. Surjit Paul is an accomplished educator, currently serving as an Assistant Professor at ARKA JAIN University. Proficient in a range of programming languages and research methodologies, Dr. [Your Name] is committed to advancing knowledge in cybersecurity, social media analytics, and website accessibility.

Profile

Scholar

🎯 Objective

Highly motivated, focused, and research-oriented approach to teaching and learning to achieve the desired goals of the organization. Always eager to learn new tools and technologies required to excel in the current learning environment.

🎓 Education

Ph.D. (Pursuing) Vinod Gupta School of Management (VGSoM), Indian Institute of Technology Kharagpur, Thesis Title: “Information Security Breach Incidents and Firms’ Performance”, Supervisor: Prof. Saini Das, Assistant Professor, VGSoM, IIT Kharagpur. M.Tech CSE, 2017 National Institute of Technology Jamshedpur, CGPA: 9.35, Thesis Title: “Design a Quantum Secure Authentication Protocol for Entity Authentication”, Supervisors: Prof. Sanjay Kumar & Prof. R.R Suman. M.C.A, 2014, Biju Patnaik University of Technology Odisha, Rourkela, CGPA: 9.06. B.Sc IT (Hons), 2010, Ranchi University, Ranchi, Percentage: 78.58%. 12th Science, 2007, Jharkhand Academic Council (JAC) Ranchi, Percentage: 65.80%. 10th, 2005, Jharkhand Academic Council (JAC) Ranchi, Percentage: 76.40%

🏆 Awards & Achievements

Best Researcher Award by SCIENCE FATHER, UGC-JRF/NET Computer Science & Applications, 2015, GATE (Computer Science & Information Technology), 2014, M.Tech (Computer Science & Engineering) Branch Topper, MCA Branch Topper

👨‍🏫 Experience

Teaching & Research Experience

Assistant Professor, Dept. of Computer Science & IT, School of Engineering and IT, ARKA JAIN University Jharkhand (August 2023 – Present). Ph.D. Researcher, Vinod Gupta School of Management, IIT Kharagpur (July 2017 – Present)

Industry Experience

Summer Intern, Indian Institute of Management Indore (July – September 2016). Java Programmer, Napasoft Jamshedpur (Vendor of TATA STEEL LTD. Jamshedpur) (November 2010 – July 2011)

🔬 Research Interests

  • Cyber Security
  • Information Security & Stock Market Impact
  • Social Media Analytics
  • Accessibility & Usability

💻 Research Techniques/Computer Skills

  • Accessibility, usability, security, and privacy analysis of websites
  • Social media analytics, sentiment & emotion analysis, and topic modeling
  • Event study methodology
  • Meta-analysis

🛠️ Software & Tools

  • Python, Java, C, C++, R
  • SAP ABAP
  • Web Technology
  • MS-Office
  • Achecker, Sortsite, PENTEST, Wireshark

Publications Top Notes 📝

  • Accessibility and usability analysis of Indian e-government websites
    • Authors: S. Paul, S. Das
    • Journal: Universal Access in the Information Society
    • Volume: 19
    • Issue: 4
    • Pages: 949-957
    • Year: 2020
    • Citations: 48
    • This article analyzes the accessibility and usability of Indian e-government websites, highlighting the challenges and areas for improvement.

 

  • Investigating information dissemination and citizen engagement through government social media during the COVID-19 crisis
    • Authors: S. Paul, S. Das
    • Journal: Online Information Review
    • Volume: 47
    • Issue: 2
    • Pages: 316-332
    • Year: 2023
    • Citations: 12
    • This study examines how government social media channels disseminated information and engaged with citizens during the COVID-19 pandemic.

 

  • A novel initial basic feasible solution method for Transportation problem
    • Author: S. Paul
    • Journal: International Journal of Advanced Research in Computer Science
    • Volume: 9
    • Issue: 1
    • Pages: 0
    • Year: 2018
    • Citations: 9
    • This article proposes a new method for finding the initial basic feasible solution for transportation problems.

 

  • Real-Time Multimodal Biometric User Authentication for Web Application Access in Wireless LAN
    • Authors: S. Kumar, S. Paul, D.K. Shaw
    • Journal: Journal of Computer Science
    • Volume: 13
    • Issue: 12
    • Pages: 680-693
    • Year: 2017
    • Citations: 5
    • This study presents a real-time multimodal biometric authentication system for secure access to web applications over wireless LAN.

 

  • Communication in vehicular cloud network using ns-3
    • Authors: S. Kumar, S. Paul, A.K. Amar
    • Journal: International Journal of Control Theory and Applications
    • Volume: 10
    • Year: 2017
    • Citations: 4
    • This paper discusses communication protocols in vehicular cloud networks using the ns-3 network simulator.

 

  • A Quantum Secure Entity Authentication Protocol Design for Network Security
    • Authors: S. Paul, S. Kumar, R.R. Suman
    • Publication: Research Anthology on Advancements in Quantum Technology
    • Pages: 289-301
    • Year: 2021
    • Citations: 3
    • This article designs a quantum secure entity authentication protocol aimed at enhancing network security.

 

  • A Quantum Secure Entity Authentication Protocol Design for Network Security
    • Authors: S. Paul, S. Kumar, R.R. Suman
    • Journal: International Journal of Information Security and Privacy
    • Volume: 13
    • Issue: 4
    • Pages: 1-11
    • Year: 2019
    • Citations: 3
    • This paper provides a detailed analysis and design of a quantum secure entity authentication protocol for network security.

 

  • Comparative Analysis of Various PPP Authentication Protocols
    • Authors: S. Paul, S. Kumar
    • Journal: International Journal of Innovative Research in Computer and Communication Engineering
    • Year: 2017
    • Citations: 3
    • This study compares different Point-to-Point Protocol (PPP) authentication methods.

 

  • Design and Modeling of Real Time Multimodal Biometric Authentication System
    • Authors: S. Kumar, S. Paul, D.K. Shaw
    • Journal: Journal of Computer Science (Accepted)
    • Year: 2017
    • Citations: 2
    • This article discusses the design and modeling of a real-time multimodal biometric authentication system.

 

Li Xia | Plant biotechnology |Best Researcher Award

Prof. ‌Li Xia |Plant biotechnology | Best Researcher Award

Prof at Qingdao University of Science and Technology China

Li Xia is a distinguished professor at the College of Chemical Engineering, Qingdao University of Science and Technology. With a PhD in Chemical Engineering, his research expertise spans process system engineering, chemical thermodynamics, dynamic simulation, process optimization, and energy-saving technologies. He has contributed extensively to the fields of chemical process simulation and intelligent chemical industry through numerous high-impact publications and patents. Li Xia has led and collaborated on several national research projects, focusing on innovative energy-saving strategies and the development of new chemical processes. His work has significantly advanced the application of thermodynamic models and optimization techniques in industrial processes.

Profile

 

📚Education

PhD in Chemical Engineering Qingdao University of Science and Technology, China [2010-2016]

 🏢 Professional Appointments

  • Professor College of Chemical Engineering, Qingdao University of Science and Technology [2006-present]

Research Projects 📝

Project Title: Research on energy saving strategies and methods for chemical processes based on fire accumulation Duration: January 2015 – December 2017 Funding Source: National Natural Science Foundation of China Grant Number: 21406124 Role: Project Leader Outcome: Concluded Project Title: Intelligent method and application research of low-temperature waste heat extraction and utilization Duration: January 2022 – December 2025 Funding Source: National Natural Science Foundation of China Grant Number: 22178190 Role: Second completer Status: Amidst Research Project Title: A new method and its application research for vapor-liquid equilibrium prediction based on elements and chemical bonds Duration: January 2012 – December 2015 Funding Source: National Natural Science Foundation of China Grant Number: 21176127 Role: Third completer Outcome: Concluded

Publications Top Notes 📝

  1. Benzoic Acid Catalyzed Production of Xylose and Xylooligosaccharides from Poplar
    • Authors: Li, L., Wan, Q., Lu, Y., Xu, J., Gou, J.
    • Journal: Industrial Crops and Products
    • Year: 2024
    • Volume: 213
    • Pages: 118460
    • Abstract: This study explores the catalytic production of xylose and xylooligosaccharides from poplar using benzoic acid, focusing on optimizing yield and process efficiency.

 

  1. A Matrix Completion Method for Imputing Missing Values of Process Data
    • Authors: Zhang, X., Sun, X., Xia, L., Tao, S., Xiang, S.
    • Journal: Processes
    • Year: 2024
    • Volume: 12
    • Issue: 4
    • Pages: 659
    • Abstract: This open-access article presents a matrix completion method aimed at imputing missing values in process data, potentially improving data integrity and analysis in various industrial applications.

 

  1. Design Method of Extractant for Liquid–Liquid Extraction Based on Elements and Chemical Bonds
    • Authors: Wei, Y., Zhang, C., Zhang, Y., Sun, X., Xiang, S.
    • Journal: Chinese Journal of Chemical Engineering
    • Year: 2024
    • Volume: 68
    • Pages: 193–202
    • Abstract: The study proposes a novel design method for extractants used in liquid-liquid extraction, focusing on the role of elements and chemical bonds to enhance extraction efficiency.

 

  1. A Projected Newton Algorithm Based on Chemically Allowed Interval for Chemical Equilibrium Computations
    • Authors: Lu, H., Tao, S., Sun, X., Xia, L., Xiang, S.
    • Journal: Frontiers of Chemical Science and Engineering
    • Year: 2024
    • Volume: 18
    • Issue: 3
    • Pages: 27
    • Abstract: This article introduces a projected Newton algorithm designed to improve chemical equilibrium computations by using chemically allowed intervals, aiming to enhance accuracy and computational efficiency.

 

  1. Enhancing Working Fluid Selection for Novel Cogeneration Systems by Integrating Predictive Modeling: From Molecular Simulation to Process Evaluation
    • Authors: Wang, L., Zong, F., Liu, Z., Sun, X., Xiang, S.
    • Journal: Process Safety and Environmental Protection
    • Year: 2024
    • Volume: 183
    • Pages: 587–601
    • Abstract: This research focuses on the selection of working fluids for cogeneration systems, integrating predictive modeling from molecular simulation to process evaluation to optimize performance and safety.

 

  1. Development of Special Process Simulation System for Sulfuric Acid Alkylation Process
    • Authors: Zhao, T., Xia, L., Sun, X., Chen, Y., Xiang, S.
    • Journal: Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
    • Year: 2024
    • Volume: 38
    • Issue: 1
    • Pages: 121–127
    • Abstract: This study details the development of a specialized process simulation system for the sulfuric acid alkylation process, aiming to improve efficiency and reliability in industrial applications.