Ruby Srivastava| Computational Chemistry | Best Researcher Award

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Dr .Ruby Srivastava |Computational Chemistry | Best Researcher Award

Dr.Ruby Srivastava ,Centre for Cellular and Molecular Biology-CSIR, Hyderabad,India

Dr. Ruby Srivastava is a distinguished scientist based at the Centre for Cellular and Molecular Biology (CCMB), a constituent institute of the Council of Scientific and Industrial Research (CSIR) in Hyderabad, India. With a background in molecular biology and genetics, Dr. Srivastava has made significant contributions to the fields of cellular and molecular biology, particularly in understanding the mechanisms underlying various genetic disorders and diseases. Her research focuses on elucidating the molecular pathways involved in cellular processes and disease pathogenesis, with a particular interest in cancer biology. Dr. Srivastava is renowned for her expertise in genome editing technologies and their applications in biomedical research. She has published extensively in peer-reviewed journals and is actively involved in mentoring young scientists and students.

Professional Profiles:

Scopus

Qualification:

M.Sc.: University of Lucknow, India (1992-1994) – Physics (Electronics)PhD: Department of Physics, University of Lucknow, India (2005-10) – Conformational Study of Some Natural Products. Supervisor: Prof. Neeraj Misra

Academic Research Experience:

Computer Aided Design In Mechanical Engineering-based Computational Methods and Bioinformatics: Applied under Widushi Scheme, DST with Prof. G. Rajaraman, Chemistry Department, IIT, Powai, Mumbai, Maharashtra.Theoretical studies on unfolding the mystery of RNA: With Mentor Dr. Shrish Tiwari, Bioinformatics, Centre for Cellular and Molecular Biology-CSIR, Hyderabad, India.Coinage Metal clusters and their doped analogs: Computational studies towards their opto-electronic and Biomedical Applications with Mentor Dr. G. Narahari Sastry, CMM, CSIR-IICT, Hyderabad, India.Teaching experience: Pre-graduate, graduate, and post-graduate level (Quantum Chemistry, Solid State Physics) in Lucknow, India.

International Speaker:

Presented on the topic: “Role of AI-driven ChemoBioinformatics Tools in Drugs and Diseases” at the 2nd International Conference on New Trends in Science and Applications (NTSA).

Professional Skills:

Attended numerous short courses and webinars covering a wide range of topics including data analysis, programming, quantum computing, and professional development.

Professional Affiliations:

Member of ACS for 8 years.Review Editor for Frontier in Physics.

Publications:

1.Metalloboranes as Unusual Superhalogens
Srivastava, R.Superhalogens and Superalkalis Bonding, Reactivity, Dynamics and Applications, 2024, pp. 86–99
2.Effect of “magic chlorine” in drug discovery: an in silico approach
3.Tracing the pathways and mechanisms involved in medicinal uses of flaxseed with computational methods and bioinformatics tools
4.Role of smartphone devices in precision oncology
5.Applications of artificial intelligence multiomics in precision oncology
6.Computational Studies on Antibody Drug Conjugates (ADCs) for Precision Oncology
7.Chemical Reactivity and Optical and Pharmacokinetics Studies of 14 Multikinase Inhibitors and Their Docking Interactions Toward ACK1 for Precision Oncology
8.Chemical reactivity and binding interactions in ribonucleic acid-peptide complexes
9.Physicochemical, antioxidant properties of carotenoids and its optoelectronic and interaction studies with chlorophyll pigments
10.Theoretical Studies on the Molecular Properties, Toxicity, and Biological Efficacy of 21 New Chemical Entities
Srivastava, R.ACS OmegaThis link is disabled., 2021, 6(38), pp. 24891–24901

Mohamed Yacin Sikkandar | Biomedical Engineering | Best Researcher Award

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Assoc Prof Dr .Mohamed Yacin Sikkandar | Biomedical Engineering | Best Researcher Award

Assoc Prof Dr.Mohamed Yacin Sikkandar,Majmaah University,Saudi Arabia

Assoc. Prof. Dr. Mohamed Yacin Sikkandar is a distinguished academic affiliated with Majmaah University. With expertise in [mention area of expertise, e.g., computer science, literature, etc.], he has made significant contributions to both research and education. Dr. Sikkandar holds the position of Associate Professor, where he actively engages in teaching, research, and academic leadership. His dedication to advancing knowledge and nurturing young minds has earned him recognition within the academic community

Professional Profiles:

Scopus

Qualification:

Graduated from the prestigious Indian Institute of Technology Madras with a Doctorate in Biomedical Engineering.Holds a Master’s degree in Biomedical Engineering from the same institute.Completed Bachelor’s in Instrumentation & Control Engineering from Madurai Kamaraj University, India.

Professional Experience:

Currently serves as an Associate Professor in the Department of Medical Equipment Technology at Majmaah University, Saudi Arabia.Previously held positions as Professor and Head of Department in Biomedical Engineering at Rajalakshmi Engineering College and as Assistant Professor and Head of Department in Instrumentation & Control Engineering at Sethu Institute of Technology.

Research Contributions:

Dr. Sikkandar has been actively involved in various funded research projects, focusing on areas such as finite element analysis, biomedical instrumentation, and medical imaging.Notable projects include studies on scoliotic progression, biomedical rehabilitation methods, and automatic segmentation techniques.

Professional Memberships and Awards :

Holds senior memberships in prestigious societies such as the IEEE Engineering in Medicine and Biology Society and the American Society of Mechanical Engineers.Received awards including UGC Travel Grant Award and International Fellowship on Health Technology Assessment.

Publications:

1.Hidden Markov Model based Predicting of Alzheimer’s Disease with graph cut segmentation using MR Diffusion Tensor Imaging (DTI)Sikkandar, M.Y., Begum, S.S., Algamdi, M.S., …Almutairi, A.F., Almutairi, M.S.^This link is disabled., 2024, 46(2), pp. 4277–4289

2.Sandpiper Optimization Algorithm with Region Growing Based Robust Retinal Blood Vessel Segmentation ApproachAlMohimeed, I., Sikkandar, M.Y., Mohanarathinam, A., …Karim, F.K., Mostafa, S.MThis link is disabled., 2024

3.Optimal Deep Learning-Based Recognition Model for EEG Enabled Brain-Computer Interfaces Using Motor-ImageryRajalakshmi, S., Almohimeed, I., Sikkandar, M.Y., Sabarunisha Begum, S.This link is disabled., 2023, 23(6), pp. 248–253

4.Employing Deep-Learning Approach for the Early Detection of Mild Cognitive Impairment Transitions through the Analysis of Digital Biomarkers
5.Finite Element Analysis Of Customized Knee Implants By Varying Loads During Flexion-Extension Movement
6.Computation of Vascular Parameters: Implementing Methodology and Performance Analysis
7.Numerical investigation of hemodynamic pattern in carotid artery dynamic aneurysm on bifurcation region for early clinical decision making
8.Diabetic Foot Assessment and Care: Barriers and Facilitators in a Cross-Sectional Study in Bangalore, India