Sergei Danilov | Optimization Techniques | Excellence in Research

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Assoc Prof Dr. Sergei Danilov | Optimization Techniques | Excellence in Research

Assoc Prof Dr. Sergei Danilov at University of Illinois at Chicago, United States

👨‍🎓 Profile

🧬 Summary

Dr. Sergei Danilov is an accomplished researcher in biochemistry and immunology, known for his pioneering work on angiotensin-converting enzyme (ACE) and its implications in Alzheimer’s disease. He has authored over 150 publications and holds multiple patents.

🎓 Education

  • MD, University of Illinois at Chicago
  • PhD, University of Illinois at Chicago

đź’Ľ Professional Experience

  • Research Associate Professor, Department of Medicine, University of Illinois at Chicago
  • Extensive collaboration with laboratories globally, focusing on ACE-related research.

🔬 Research Interests

  • Biochemical and immunological studies of ACE
  • Alzheimer’s disease pathophysiology and innovative therapeutic approaches
  • Development of monoclonal antibodies targeting ACE.

Dr. Danilov’s work has significantly advanced our understanding of ACE and its role in neurodegenerative diseases, making him a leader in his field.

📖  Top Noted Publications

ACE Phenotyping in Human Blood and Tissues: Revelation of ACE Outliers and Sex Differences in ACE Sialylation

    • Authors: EnikĹ‘ E. Enyedi, Pavel A. Petukhov, Alexander J. Kozuch, Steven M. Dudek, Attila TĂłth, MiklĂłs Fagyas, Sergei Danilov
    • Journal: Biomedicines
    • Volume: 12
    • Issue: 5
    • Pages: 940
    • Publication Date: April 2024

Carriers of Heterozygous Loss-of-Function ACE Mutations Are at Risk for Alzheimer’s Disease

    • Authors: Sergei Danilov, Ivan A. Adzhubei, Alex Kozuch, Pavel A. Petukhov, Isolda A. Popova, Ananyo Choudhury, Dhriti Sengupta, Steven M. Dudek
    • Journal: Biomedicines
    • Volume: 12
    • Issue: 1
    • Pages: 162
    • Publication Date: January 2024

Urinary ACE Phenotyping as a Research and Diagnostic Tool: Identification of Sex-Dependent ACE Immunoreactivity

    • Authors: Alexander J. Kozuch, Pavel A. Petukhov, MiklĂłs Fagyas, Isolda A. Popova, Matthew O. Lindeblad, Alexander P. Bobkov, Armais A. Kamalov, Attila TĂłth, Steven M. Dudek, Sergei Danilov
    • Journal: Biomedicines
    • Volume: 11
    • Issue: 3
    • Pages: 953
    • Publication Date: March 2023

Blood ACE Phenotyping for Personalized Medicine: Revelation of Patients with Conformationally Altered ACE

    • Authors: Sergei Danilov, Mark Jain, Pavel A. Petukhov, Olga V. Kurilova, Valery V. Ilinsky, Pavel E. Trakhtman, Elena L. Dadali, Larisa M. Samokhodskaya, Armais A. Kamalov, Olga A. Kost
    • Journal: Biomedicines
    • Volume: 11
    • Issue: 2
    • Pages: 534
    • Publication Date: February 2023

fazila malik | Optimization techniques | Excellence in Innovation

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Ms. fazila malik ,Optimization techniques, Excellence in Innovation

Ms. fazila malik at  Iqra international university islamabad H9 campus, Pakistan

Author Profile

Scopus Profile

🌟Summary

Fazila Malik is a dedicated computer science lecturer with expertise in artificial intelligence, data mining, and natural language processing. She holds two master’s degrees in computer science from COMSATS University Islamabad, where she was a batch topper during her MS studies. Fazila has experience teaching at various universities and conducting remote research. Her technical skills include Python, C++, Java, TensorFlow, Scikit-learn, and Latex. Fazila has contributed to multiple research projects and has several publications in reputable journals.

🎓Education

  • Master of Sciences (MS) in Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2020-2022) | CGPA: 3.8/4.0 (Batch Topper)
  • Master of Computer Sciences, COMSATS University Islamabad (CUI), Attock Campus, Pakistan (2017-2019) | CGPA: 3.1/4.0

đź’Ľ Professional Experience

  • Lecturer, Iqra University Islamabad, H9 Campus (September 2023 – Present)
  • Lecturer (Contract), University of Education, Attock Campus (September 2022 – August 2023)
  • Research Experience (Remotely) (January 2020 – Present)

🔬 Research Interests

My research interests lie at the intersection of artificial intelligence and data science, with a focus on Natural Language Processing (NLP), evolutionary algorithms, and neural networks. I am particularly passionate about developing innovative methods to analyze and interpret complex data patterns. My work in NLP involves creating models for text analysis, sentiment detection, and textual similarities extraction, leveraging machine learning and deep learning techniques. Additionally, I am intrigued by the potential of evolutionary algorithms to solve optimization problems and enhance clustering methods. My ongoing projects explore social media analysis and pattern mining, aiming to uncover hidden insights and contribute to advancements in the field of data science.

đź“– Publication Top Noted

Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

    • Authors: Alduailij, M.; Khan, Q.W.; Tahir, M.; …; Alduailij, M.; Malik, F.
    • Journal: Symmetry
    • Volume: 14
    • Issue: 6
    • Pages: 1095
    • Year: 2022

A Novel Hybrid Clustering Approach Based on Black Hole Algorithm for Document Clustering

    • Authors: Malik, F.; Khan, S.; Rizwan, A.; Atteia, G.; Samee, N.A.
    • Journal: IEEE Access
    • Volume: 10
    • Pages: 97310–97326
    • Year: 2022