Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

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

Nanjing University of Science and Technology , China

Professional Profile👨‍🎓

Early Academic Pursuits🎓

Muhammad Ahsan Saleem embarked on his academic journey in Mechatronics Engineering at the University of Engineering and Technology, Taxila, Pakistan, earning his Bachelor of Science degree in 2013. His passion for interdisciplinary studies led him to pursue a Master of Engineering in Mechanical Engineering at Nanjing University of Science and Technology, China, where he further advanced to a Doctor of Engineering in the same field. This strong foundation highlights his unwavering commitment to academic excellence and innovation.

Professional Endeavors 💼

Ahsan’s professional career spans roles in research and industry, blending technical expertise with practical applications. At Nanjing University of Science and Technology, he has been instrumental in project planning, performance metrics development, and leveraging machine learning to enhance experimental research. His tenure as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai demonstrated his capability to design and implement cutting-edge solutions such as flexible bend control devices for textile machines and performance analysis tools for electric motors. Earlier, at Attock Refinery Limited, Pakistan, he contributed to HVAC systems’ compliance and operational efficiency.

Contributions and Research Focus🔬

Ahsan’s research contributions emphasize advancing 3D printing technologies and exploring innovative materials. His work on optimizing inkjet printing processes has led to significant improvements in dimensional precision and edge roughness. Additionally, his investigations into high-viscosity ink jetting behavior and the development of 3D-printed electrical resistors underscore his interdisciplinary approach. Projects like silicon carbide’s influence on selective laser processing and functional electronics printing further cement his role as a pioneer in material science and engineering.

Impact and Influence🌍

Through impactful research and professional achievements, Ahsan has influenced the fields of mechanical engineering and material science. His advancements in experimental design, coupled with data-driven methodologies, have contributed to new standards in precision manufacturing and electronics. His dedication to innovation fosters collaboration, driving significant contributions to engineering and technological progress globally.

Academic Cites and Technical Skills📜

Ahsan boasts a diverse technical skill set, ranging from programming (C++, Python, MATLAB) to simulation tools like SolidWorks and Simulink. His proficiency in machine learning and data analysis is evident in certifications from leading institutions, including Stanford University, IBM, and the University of Michigan. These skills are complemented by his expertise in microcontroller programming and platform integration using Raspberry Pi and Arduino.

Teaching and Mentorship Experience👨‍🏫

Ahsan’s dedication to academia extends beyond research, as evidenced by his volunteering roles. At the School of International Education, NJUST, he mentored freshmen and organized sports events, fostering a supportive environment for students. His involvement with the Environment Protection Society at UET highlights his commitment to community and educational outreach.

Legacy and Future Contributions✨

Ahsan’s ongoing endeavors in computer vision, image processing, and exploratory data analysis align with his vision to harness cutting-edge technologies for real-world impact. His interdisciplinary approach, combining mechanical engineering with data science and material innovation, sets a strong precedent for future contributions in sustainable technologies and precision engineering. He aspires to leave a lasting legacy as a researcher, mentor, and innovator driving advancements across industries.

Top Noted Publication 📖

  • Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina
    • Authors: Rehman, A.U., Saleem, M.A., Liu, T., Pitir, F., Salamci, M.U.
    • Journal: Materials
    • Year: 2022
  • Quantized Event-triggered Feedback Control under Fuzzy System with Time-varying Delay and Actuator Fault
    • Authors: Aslam, M.S., Qaisar, I., Saleem, M.A.
    • Journal: Nonlinear Analysis: Hybrid Systems
    • Year: 2020

zahrasadat momeni | Game theory | Best Researcher Award

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Mrs. zahrasadat momeni | Game theory | Best Researcher Award

Concordia University, Canada

👨‍🎓Professional Profile

Google Scholar Profile

📝 Summary

Mrs. Zahrasadat Momeni is a Ph.D. candidate at Concordia University, Canada, specializing in Structural Control Engineering. With advanced expertise in bridge dynamics, seismic analysis, and control systems, she designs systems that enhance bridge resilience to seismic activity. Zahrasadat’s approach combines cutting-edge software tools and AI/ML techniques to improve structural safety and performance.

🎓 Education

Zahrasadat holds a Ph.D. in Structural Control Engineering from Concordia University (2018–Present). She also completed a Post Graduate Degree in AI & Machine Learning at Purdue University (2021–2022). Prior to this, she earned her Master’s (2014–2016) and Bachelor’s (2008–2013) degrees in Civil Engineering from Sharif University of Technology and K.N.T University of Technology, respectively.

💼 Professional Experience

At Concordia University, Zahrasadat works as a Research and Analysis Specialist in Bridge Dynamics and Seismic Design. She develops advanced models to assess bridge behavior under seismic conditions and designs control systems to reduce vibrations and increase resilience. Previously, at Sharif University, she worked as a Research Assistant, where she led the seismic analysis and finite element modeling of long-span bridges.

📚 Academic Citations

Her research on bridge control systems and seismic resilience has been cited in numerous civil engineering publications. Zahrasadat continues to contribute to the academic community with ongoing work on seismic design and structural control systems.

💻 Technical Skills

Zahrasadat is proficient in structural analysis software such as SAP2000, ETABS, ABAQUS, CSiBridge, and MATLAB/Simulink. She is also skilled in Python programming and familiar with machine learning and data science tools like Jupyter Notebook and Visual Studio Code.

👩‍🏫 Teaching Experience

As a research assistant and teaching collaborator at Concordia University, Zahrasadat has provided hands-on guidance in seismic design and bridge dynamics. She has also mentored students in the use of finite element analysis and structural control systems.

🔬 Research Interests

Zahrasadat’s research interests focus on enhancing the seismic resilience of bridge structures through innovative control systems and AI/ML integration. She aims to improve bridge performance under dynamic loads and reduce the risk of collapse during seismic events.

 

📖Top Noted Publications

Intelligent control methodology for smart highway bridge structures using optimal replicator dynamic controller

Authors: Z. Momeni, A. Bagchi
Journal: Civil Engineering Journal
Year: 2023

Multi-objective control optimization of isolated bridge using replicator controller and NSGA-II

Authors: Z. Momeni, A. Bagchi
Journal: Heliyon
Year: 2023

Optimal replicator dynamic controller for semi-active control of long span cable stayed bridge with considering special variability of seismic excitations

Authors: Z. Momeni, A. Bagchi
Journal: Structures
Year: 2023

farnaz shokraneh | personalized medicine | Best Researcher Award

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Ms. farnaz shokraneh | personalized medicine | Best Researcher Award

Abo Akademi University, Finland

👨‍🎓Professional Profile 

Orcid Profile

👩‍🔬 Summary

Ms. Farnaz Shokraneh is an experienced pharmaceutical professional currently working as a Doctoral Researcher in Pharmaceutical Development and Medical Technology at Åbo Akademi University in Turku, Finland. With a solid academic background and extensive practical experience in pharmaceutical quality assurance, regulatory compliance, and research, she brings valuable insights into the development of pharmaceutical products and systems. She is committed to advancing personalized medicine and improving quality control in the pharmaceutical industry.

🎓 Education

Ms. Shokraneh holds a Doctor of Pharmacy degree, equivalent to a Finnish Master’s, from Islamic Azad University, Tehran, Iran (2007-2012). She furthered her academic journey with a Master’s in Pharmaceutical Research from Freie Universität Berlin, Germany (2022-2024). Currently, she is pursuing her doctoral research in Pharmaceutical Development and Medical Technology at Åbo Akademi University, Turku, Finland (2022–present).

💼 Professional Experience

Ms. Shokraneh has accumulated extensive experience in various roles within the pharmaceutical industry. She is currently serving as a Quality Manager at CurifyLabs Oy in Helsinki, Finland, since September 2022. Previously, she held the position of Quality Assurance Manager at Mofid Pharma under the license of Bayer Pharmaceutical Company (Dec 2020–Dec 2021). Additionally, she has worked at Modava Pharmaceutical under Novartis (Jul 2018–Jul 2020) and ATI Pharmed Pharmaceutical Co under StragenPharma and CHEMO Pharmaceutical licenses (Apr 2013–Jun 2017).

🛠️ Technical Skills

Ms. Shokraneh’s technical expertise encompasses pharmaceutical development, quality assurance, and regulatory compliance. She is proficient in analytical techniques such as HPLC, mass spectrometry, and micro NIR spectrophotometry. Her experience also extends to pharmacovigilance, safety monitoring, and statistical analysis for pharmaceutical applications, making her highly skilled in ensuring the safety, efficacy, and quality of pharmaceutical products.

🧑‍🏫 Teaching Experience

Although Ms. Shokraneh’s current focus is on research and industry roles, her vast knowledge and experience in the pharmaceutical field allow her to effectively mentor teams and share her expertise. She has contributed to the professional development of her colleagues and participated in educational training programs within the pharmaceutical sector.

🔬 Research Interests

Ms. Shokraneh’s primary research interests lie in pharmaceutical development and medical technology, with a particular focus on personalized medicine. She is passionate about improving drug safety and efficacy through innovations in automated pharmacy compounding, quality control, and exploring new methods for drug delivery and patient-specific treatment plans.

 

📖Top Noted Publications

Automated Non-Sterile Pharmacy Compounding: A Multi-Site Study in European Hospital and Community Pharmacies with Pediatric Immediate Release Propranolol Hydrochloride Tablets

Authors: Niklas Sandler Topelius, Farnaz Shokraneh, Mahsa Bahman, Julius Lahtinen, Niko Hassinen, Sari Airaksinen, Soumya Verma, Ludmila Hrizanovska, Jana Lass, Urve Paaver et al.

Journal: Pharmaceutics

Year: 2024

A Novel High Performance Liquid Chromatographic Method for Determination of Nystatin in Pharmaceutical Formulations by Box–Behnken Statistical Experiment Design

Authors: Farnaz Shokraneh

Journal: Iranian Journal of Pharmaceutical Research

Year: 2014

Comparative Studies of Cytotoxic Manufacturing Practices in Specialized Cancer Centers Against International Guidelines (ASHP, OSHA, HSE-UK)

Authors: Farnaz Shokraneh

Journal: FIP Congress

Year: 2012

Development and Validation of High-Performance Liquid Chromatography for Determination of Nystatin in Pharmaceutical Formulations

Authors: Farnaz Shokraneh

Journal: Research in Pharmaceutical Science

Year: 2012

A New HPLC Method for Determination of Losartan in Human Plasma and Its Application in Bioequivalence Studies

Authors: Farnaz Shokraneh

Journal: Oriental Journal of Chemistry

Year: 2012

Risks to Health Professionals from Hazardous Drugs in Iran: A Pilot Study of Understanding of Healthcare Team to Occupational Exposure to Cytotoxics

Authors: Farnaz Shokraneh

Journal: EXCLI Journal

Year: 2005

Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

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Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors 💼

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites 📚

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding 💰

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023