Subrata Sinha| Bioinformatics| Editorial Board Member

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Assist Prof Dr. Subrata Sinha| Bioinformatics| Editorial Board Member

Assistant Professor | Dibrugarh University | India

Dr. Subrata Sinha is a distinguished researcher and academic affiliated with Brainware University, Kolkata, India, specializing in computational biology, bioinformatics, and machine learning applications in biomedical research. His expertise spans the development and application of advanced computational models, including convolutional neural networks for brain tumor classification, in silico pharmacophore modeling, and network pharmacology analyses for therapeutic discovery. Dr. Sinha has contributed significantly to bridging computational techniques with practical biomedical applications, demonstrating a strong commitment to translational research that benefits both scientific advancement and societal health outcomes. Over his career, he has published extensively in peer-reviewed journals, fostering collaborations with a wide network of international co-authors and research groups. His work emphasizes precision medicine, predictive modeling, and integrative approaches that combine molecular insights with computational strategies to address complex biomedical challenges. Dr. Sinha’s research not only advances academic understanding but also holds potential for real-world applications in diagnostics, drug discovery, and healthcare technology development. His contributions are recognized for their methodological rigor, innovative approach, and relevance to pressing global health issues. Dr. Sinha’s academic influence and research productivity are reflected in his metrics: 78 citations, 36 documents, and an h-index of 4.

Profiles: Scopus | ORCID

Featured Publications

Akermi, S., Chaari, M., Elhadef, K., Sharma, A., Dey, A., Choudhary, A., Sinha, S., Festuccia, R., Mellouli, L., & Smaoui, S. (2025). Bioactive compounds and cancer prevention: A nutritional approach. In Unleashing the Power of Functional Foods and Novel Bioactives (pp. xx–xx). Elsevier.

Sinha, S., Mali, S., Pathak, A. K., & Rajkhowa, S. (2025). BRAIN-SCN-PRO: A machine learning model for the classification of brain tumors using a convolutional neural network architecture. Biomedical Signal Processing and Control.

Akermi, S., Sharma, A., Dey, A., Chaari, M., Elhadef, K., Choudhary, A., Sinha, S., Mellouli, L., & Smaoui, S. (2025). Functional foods and aging and antiaging: A recipe for longevity. In Unleashing the Power of Functional Foods and Novel Bioactives (pp. xx–xx). Elsevier.

Sinha, S., Mali, S., & Rajkhowa, S. (2025). High-precision lung cancer classification with custom CNN: Evaluation and transfer learning for broader cancer types. Procedia Computer Science.

Mali, S., & Sinha, S. (2025). Histopathological image processing for lung carcinoma classification: A comparative study of stain normalization methods for CNN-based analysis. In 6th IEEE International Conference on Recent Advances in Information Technology (RAIT 2025) (pp. xx–xx). IEEE.

Shishir K Gupta | Bioinformatics | Best Researcher Award

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Dr. Shishir K Gupta | Bioinformatics | Best Researcher Award

Assistant Professor | Centre of BioMedical Research | India

Dr. Shishir Kumar Gupta is an Assistant Professor in the Department of Data Sciences at the Centre of BioMedical Research (CBMR), SGPGIMS Campus, Lucknow, India. He earned his Ph.D. in Bioinformatics from the Julius-Maximilians-Universität Würzburg, Germany (2016), focusing on genome re-annotation and immune transcriptome analysis in insects. His research expertise spans Network Science, Bioinformatics, Multi-omics Data Integration, Big Data Analytics, and Machine Learning, with applications in computational modeling of biological systems, understanding disease mechanisms, and developing therapeutic strategies. Dr. Gupta has extensive postdoctoral experience from renowned German institutions, including the University of Würzburg, Heinrich Heine University Düsseldorf (CEPLAS), and University Hospital Erlangen, where he led interdisciplinary projects in systems biology, genomics, and computational immunology. He has authored over 45 peer-reviewed publications and book chapters in high-impact journals such as Frontiers in Immunology, International Journal of Molecular Sciences, and Computational and Structural Biotechnology Journal, and serves as a reviewer for leading journals including Nature Scientific Reports, BMC Bioinformatics, and PLOS Computational Biology. His supervision of graduate students and teaching roles in bioinformatics, genomics, and systems biology at both Indian and European institutions reflect his commitment to academic excellence. Through international collaborations and data-driven research, Dr. Gupta aims to advance precision medicine, network-based drug discovery, and the integration of computational and experimental approaches to address global challenges in infectious diseases, cancer biology, and immunology, thereby contributing to improved healthcare and scientific innovation.

Profiles:  Google Scholar | Scopus | ORCID 

Featured Publications

Kupper, M., Gupta, S. K., Feldhaar, H., & Gross, R. (2014). Versatile roles of the chaperonin GroEL in microorganism–insect interactions. FEMS Microbiology Letters, 353(1), 1–10.

Kaltdorf, M., Srivastava, M., Gupta, S. K., Liang, C., Binder, J., Dietl, A. M., Meir, Z., Haas, H., Osherov, N., & Krappmann, S. (2016). Systematic identification of anti-fungal drug targets by a metabolic network approach. Frontiers in Molecular Biosciences, 3, 22.

Gupta, S. K., Kupper, M., Ratzka, C., Feldhaar, H., Vilcinskas, A., Gross, R., & Förster, F. (2015). Scrutinizing the immune defence inventory of Camponotus floridanus applying total transcriptome sequencing. BMC Genomics, 16(1), 1–21.

Srivastava, M., Gupta, S. K., Abhilash, P. C., & Singh, N. (2012). Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches. Journal of Molecular Modeling, 1–9.

Akhoon, B. A., Singh, K. P., Varshney, M., Gupta, S. K., Shukla, Y., & Gupta, S. K. (2014). Understanding the mechanism of atovaquone drug resistance in Plasmodium falciparum cytochrome b mutation Y268S using computational methods. PLoS ONE, 9(10), e110041.

Dr. Shishir Kumar Gupta’s research integrates computational modeling, network science, and multi-omics data analysis to uncover molecular mechanisms of diseases and identify novel therapeutic strategies. His work advances precision medicine and drug discovery, bridging bioinformatics innovation with real-world biomedical and societal impact through data-driven solutions for global health challenges.

Yawer Shah | Complexity Science | Best Researcher Award

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🌟Mr. Yawer Shah, Complexity Science, Best Researcher Award🏆

Yawer Shah at University of North Texas, India

Yawer H. Shah is a graduate research assistant with a background in physics and a focus on complex systems and interdisciplinary research. He holds a master’s degree in physics from the University of Kashmir, India, and is currently pursuing a Ph.D. at the University of North Texas, USA. With a keen interest in understanding the intelligence characterizing dynamical systems, Yawer has developed expertise in Diffusion Entropy Analysis, Lévy statistics, and time-series analysis. He is proficient in Python and C programming and is committed to applying theoretical knowledge to practical research endeavors.

Author Metrics:

ORCID Profile

Yawer H. Shah has contributed to scholarly publications in the field of complex systems and biophysics. His publications demonstrate his active engagement in research and include articles such as “Search for crucial events in Physiological processes” published in the American Journal of Biomedical Science and Research. He is also working on forthcoming research regarding cancer cell motility, crucial events, criticality, and Lévy walks. Additionally, Yawer actively collaborates with colleagues and mentors to advance scientific knowledge and understanding.

Education:

Yawer H. Shah completed his master’s degree in physics at the University of Kashmir, India, from 2013 to 2016. He is currently enrolled in a Ph.D. program at the University of North Texas, USA, focusing on complex systems and interdisciplinary research. Throughout his academic journey, Yawer has demonstrated a strong commitment to learning and applying advanced research methodologies to address complex scientific questions.

Research Focus:

Yawer H. Shah’s research focuses on complex systems, particularly in the realms of biophysics and interdisciplinary studies. He is interested in understanding the intelligence characterizing dynamical systems and employs tools such as Diffusion Entropy Analysis and Lévy statistics to measure and analyze system behavior. Yawer’s research aims to uncover crucial events in physiological processes and explore the role of criticality and Lévy walks in cancer cell motility.

Professional Journey:

Yawer H. Shah’s professional journey began with his master’s studies in physics at the University of Kashmir, India. After completing his degree, he dedicated three years to exploring career opportunities before joining the Center for Non-linear Science in Denton, Texas, where he currently serves as a research assistant. In this role, Yawer has focused on learning research tools and contributing to contemporary fields of non-linear science, solidifying his expertise in complex systems and interdisciplinary research.

Honors & Awards:

Yawer H. Shah has been recognized for his academic achievements and contributions to research. While specific honors and awards may not be listed, his active participation in scholarly publications and research projects reflects his dedication to excellence in his field. Yawer’s commitment to advancing scientific knowledge and his collaborative approach to research have earned him the respect of colleagues and mentors alike.

Publications Noted & Contributions:

Yawer H. Shah’s publications highlight his contributions to the field of complex systems and biophysics. Notable works include “Search for crucial events in Physiological processes,” published in the American Journal of Biomedical Science and Research, and ongoing research on cancer cell motility, crucial events, criticality, and Lévy walks. Yawer’s publications demonstrate his ability to apply theoretical concepts to practical research and contribute valuable insights to scientific discourse.

Title: Cell motility in cancer, crucial events, criticality, and Lévy walks

“Cell motility in cancer, crucial events, criticality, and Lévy walks” published in Chaos, Solitons & Fractals in June 2024 explores various aspects of cancer cell motility and its underlying dynamics. The contributors to this research include Yawer H. Shah, Luigi Palatella, Korosh Mahmoodi, Orazio S. Santonocito, Mariangela Morelli, Gianmarco Ferri, Chiara M. Mazzanti, Paolo Grigolini, and Bruce J. West. The research delves into the complex mechanisms governing cancer cell movement, with a focus on identifying crucial events, understanding criticality, and exploring the phenomenon of Lévy walks within the context of cancer metastasis.

Research Timeline:

Yawer H. Shah’s research timeline reflects his progression from graduate studies in physics at the University of Kashmir to his current Ph.D. program at the University of North Texas. Throughout his academic journey, Yawer has been actively involved in research, focusing on complex systems and interdisciplinary studies. His timeline encompasses educational milestones, research positions, and ongoing projects, illustrating his continuous growth and development as a researcher in his field.

Collaborations and Projects:

Yawer H. Shah actively collaborates with colleagues and mentors to advance scientific knowledge and understanding. His current research projects include investigations into complex systems, particularly in the fields of biophysics and interdisciplinary studies. Yawer’s collaborative approach allows him to leverage diverse expertise and perspectives, enhancing the quality and impact of his research contributions.

Nguyen Minh Tuan | Computer science | Best Researcher Award

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🌟Mr. Nguyen Minh Tuan, Computer science, Best Researcher Award🏆

Nguyen Minh Tuan at KMUTNB, Thailand

Nguyen Minh Tuan is a dedicated educator and researcher in the field of applied mathematics and computer science. With a strong academic background including a Ph.D. from King Mongkut’s University of Technology North Bangkok, Thailand, Tuan has demonstrated expertise in areas such as differential equations, data science, and deep machine learning. His passion for teaching is evident from his years of experience as a lecturer and mentor at various educational institutions in Vietnam.

Author Metrics

Tuan’s scholarly contributions are underscored by his ORCID profile, showcasing his publications and citations. With a GPA of 3.87 in his Ph.D. program and accolades for his master’s thesis, Tuan has consistently demonstrated excellence in academic pursuits. They have been cited 6 times across 3 documents and have authored 4 documents. Their h-index is 2.

Scopus Profile

ORCID Profile

Education

Tuan’s educational journey encompasses rigorous training in mathematics and computer science. He earned his Bachelor’s degree from Can Tho University, Vietnam, followed by a Master’s degree from the University of Science, Ho Chi Minh City. Currently pursuing a Ph.D., Tuan is expanding his expertise in applied mathematics and computer science.

Research Focus

Tuan’s research interests lie at the intersection of applied mathematics and computer science. His work focuses on areas such as ordinary and nonlinear differential equations, fractional differential equations, and deep machine learning. By exploring these fields, Tuan aims to contribute to advancements in mathematical modeling and data-driven problem-solving.

Professional Journey

Tuan’s professional journey began as a teacher at An Thoi High School, Ben Tre Province, Vietnam, where he honed his skills in mathematics education. He later transitioned to a lecturer position at Ho Chi Minh City Vinatex College of Technology and Economics, where he also served as the leader of the Computer Club. Currently, Tuan is pursuing his Ph.D. while actively engaging in research and academia.

Honors & Awards

Throughout his career, Tuan has received recognition for his academic achievements. His master’s thesis earned accolades with a GPA of 9.5, reflecting his dedication and proficiency in mathematics research. Additionally, his consistent performance, evidenced by a GPA of 3.87 in his Ph.D. program, speaks to his commitment to excellence.

Publications Noted & Contributions

Tuan’s contributions to the field of applied mathematics and computer science are evident in his publications and research outputs. Notable works include papers addressing topics such as nonlinear heat equations and their applications, as well as advancements in deep machine learning algorithms. Through his research, Tuan seeks to address real-world challenges and contribute to the academic discourse.

“The Bilinear Neural Network Method for Solving Benney–Luke Equation”

Published in the journal Partial Differential Equations in Applied Mathematics in June 2024.

DOI: 10.1016/j.padiff.2024.100682

Contributors: Nguyen Minh Tuan, Sanoe Koonprasert, Sekson Sirisubtawee, Phayung Meesad

“Fareeha Transform Performance In Solving Fractional Differential Telegraph Equations Combining Adomian Decomposition Method”

Published in the WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL in April 16, 2024.

DOI: 10.37394/23203.2024.19.9

Contributors: Nguyen Minh Tuan, Sanoe Koonprasert, Phayung Meesad

“General Integral Transform Performance for Space-Time Fractional Telegraph Equations”

Published in the WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL in April 11, 2024.

DOI: 10.37394/23203.2024.19.6

Contributors: Nguyen Minh Tuan, Sanoe Koonprasert, Phayung Meesad

“New Exact Traveling Wave Solutions of the (3+1)-Dimensional Chiral Nonlinear Schrodinger Equation Using Two Reliable Techniques”

Published in the Thai Journal of Mathematics on March 31, 2024.

Contributors: Nguyen Minh Tuan

“New Data About Library Service Quality and Convolution Prediction”

Published in the CTU Journal of Innovation and Sustainable Development on October 16, 2023.

DOI: 10.22144/ctujoisd.2023.032

Contributors: Minh Tuan Nguyen, Meesad Phayung, Van Hieu Duong, Maliyaem Maleerat

Research Timeline

Tuan’s research trajectory spans several years, beginning with his undergraduate studies at Can Tho University and culminating in his current Ph.D. program at King Mongkut’s University of Technology North Bangkok. Along this journey, he has delved into various research topics, gaining expertise and making valuable contributions to the field.

Collaborations and Projects

Tuan has collaborated with fellow researchers and participated in projects aimed at advancing mathematical modeling and computational techniques. His involvement in interdisciplinary collaborations has allowed him to leverage diverse perspectives and methodologies, leading to innovative solutions and insights in applied mathematics and computer science.