Mr. Ardak Kanagatovich Syzdykov | Healthcare Applications | Young Scientist Award

Mr. Ardak Kanagatovich Syzdykov | Healthcare Applications | Young Scientist Award

Ardak Kanagatovich Syzdykov at Institute of Organic Synthesis and Coal Chemistry, Kazakhstan 

Profile

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Academic Background

Mr. Ardak Kanagatovich Syzdykov is a dedicated and skilled chemical analyst and pharmacist. With a background in chemical technology and pharmacy, he is known for his strong work ethic, quick learning abilities, and effective communication skills. Ardak is highly motivated and committed to making significant contributions in his professional field.

Education

Mr. Ardak’s educational journey began at Ustobin Secondary School (2003-2014), followed by a degree in Pharmacy from Bolashak Higher Academy (2014-2019). He further advanced his expertise with a Master’s Degree in Chemical Technology of Organic Substances from Karaganda Technical University (2019-2021).

Professional Experience

Mr. Ardak has garnered valuable experience through various roles: Chemical Analyst at International Scientific and Production Holding “Fitokhimiya,” Laboratory Assistant Trainee at LLP “Natiyezh,” Pharmacist at LLP “Darysyn,” and Chemical Analyst at LLP “Pharmacy 2010.” His diverse experience underscores his expertise and adaptability in the field.

🛠️ Skills and Competencies

Mr. Ardak is proficient in using MS Office, email, internet browsers, and graphic programs. He excels in rapid information search on the internet and is fluent in Kazakh and Russian, with an A2 level in English. His personal traits include being a team player, quick learner, communicative, responsible, and conflict-free.

 Publications

Synthesis and Biological Activity of New Hydrazones Based on N-Aminomorpholine
  • Authors:Oralgazy Nurkenov, Saule B. Zhautikova, Andrei Khlebnikov, Ардақ Сыздықов, Serik D. Fazylov, Tulegen Seilkhanov, Saule K. Kabieva, Kobylandy M. Turdybekov, Anel Mendibayeva, Gaziza M. Zhumanazarova
  • Journal: Molecules
  • Year: 2024

Prof. Megha Bhushan | Healthcare | Best Researcher Award

Prof. Megha Bhushan, Healthcare, Best Researcher Award

Megha Bhushan at University of Seville, Spain

Profiles

Scopus

Orcid

Google Scholar

🎓 Education:

Dr. Megha earned her Ph.D. in Computer Science and Engineering from Thapar University, Patiala, Punjab, in 2018, with a thesis titled “A Generic Framework for Improving Software Product Line using an Ontological Rule-Based Approach.” She holds a Master’s in Engineering from the same institution, where she focused on improving Software Product Line Engineering using AOP, LEL, and UML. She completed her Bachelor’s of Technology in Information Technology from the University Institute of Information Technology, Himachal Pradesh University, Shimla, HP.

🏫 Professional Experience:

Dr. Megha currently serves as an Assistant Professor in the Department of Computer Languages and Systems at the University of Seville, Spain, since April 2024. She also holds the position of Honorary Adjunct Faculty at the School of Computing, Maryam Abacha American University of Nigeria, Kano since July 2024. Her previous roles include Assistant Dean, Research & Consultancy at DIT University, Dehradun, Uttarakhand, India, and various faculty positions at esteemed institutions like Koneru Lakshmaiah Education Foundation and Chitkara University. Dr. Megha has over 9.11 years of teaching and research experience, contributing significantly to the academic community through her various roles and responsibilities.

🔬 Research Interests:

Dr. Megha’s research spans various domains including Artificial Intelligence, Machine Learning, Knowledge Representation, Knowledge-based Systems, Rule-based Systems, Software Product Line, Software Quality, Ontologies, and Healthcare. She has been an active research team member in significant projects such as “Data-intensive software product lines” funded by the Ministry of Science and Innovation and “Deficit irrigation programming system for crops Operational Group” funded by the Andalusian Government, Spain.

🎖️ Grants and Fellowships:

Dr. Megha has been awarded several prestigious grants and fellowships, including the Rajiv Gandhi National Fellowship by the University Grants Commission, New Delhi, for her work on improving Software Product Line using an Ontological Rule-Based Approach. She also received the Student Presenter Scholarship at the Grace Hopper Celebration India (GHCI) 2017.

🏆 Achievements:

Dr. Megha has received numerous accolades for her contributions to research and education. She has been an active member of various committees and organizations, serving in roles such as Program Committee Member, Publicity and Sponsorship Committee Member, and Technical Program Committee Member for multiple international conferences. She has also been recognized with awards like “Global Leader in Excellence in Education and Outreach” and “Excellence in Research at the University level” at DIT University.

📜 Memberships and Associations:

Dr. Megha is a member of several professional organizations, including The Society of Digital Information and Wireless Communications (SDIWC) and the Education Research and Development Association (ERDA). She is also a fellow member of Eudoxia Research University and The Research World, International Society of Scientists and Engineers. Additionally, she serves on the advisory panel of The International Forum for Educators and Researchers (IFER).

📖 Publications:

Impact of machine learning and deep learning techniques in autism
  • Authors: Bhushan, M., Singal, M., Negi, A.
  • Journal: Future of AI in Medical Imaging
  • Year: 2024
A comparative study of machine learning and deep learning algorithms for predicting student’s academic performance
  • Authors: Bhushan, M., Vyas, S., Mall, S., Negi, A.
  • Journal: International Journal of System Assurance Engineering and Management
  • Year: 2023
Autonomous navigation of rovers using ML and DL techniques
  • Authors: Bhushan, M., Singal, M., Layek, S., Negi, A.
  • Journal: AI-Enabled Social Robotics in Human Care Services
  • Year: 2023
Classifying breast cancer using transfer learning models based on histopathological images
  • Authors: Rana, M., Bhushan, M.
  • Journal: Neural Computing and Applications
  • Year: 2023
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
  • Authors: Rana, M., Bhushan, M.
  • Journal: Multimedia Tools and Applications
  • Year: 2023