Mukesh Kumar | Bioinformatics | Best Researcher Award

Assist Prof. Dr. Mukesh Kumar | Bioinformatics | Best Researcher Award

Banaras Hindu University, India

Author Profile

🌱 Early Academic Pursuits

Dr. Mukesh Kumar’s journey in the world of academia began with a strong foundation in mathematics, statistics, and computer applications. He completed his B.Sc. (Mathematics, Statistics, and Computer Applications) from the University of Lucknow in 2009. Driven by a passion for health and statistical applications, he pursued an M.Sc. in Health Statistics from Banaras Hindu University (BHU), Varanasi, in 2011, where he honed his expertise in statistical methods tailored to public health studies. In 2012, he added a B.Ed. degree from the University of Lucknow, showcasing his commitment to teaching and education. Later, he completed a Master of Population Studies (MPS) via distance learning from the International Institute for Population Sciences (IIPS), Mumbai, in 2016. His academic journey culminated with a Ph.D. in Applied Statistics from Babasaheb Bhimrao Ambedkar University, Lucknow, in 2016. 📘✨


🧑‍🏫 Professional Endeavors

Dr. Mukesh Kumar joined the esteemed Department of Statistics, M.M.V., Banaras Hindu University (BHU), as an Assistant Professor on February 2, 2016. Since then, he has played a pivotal role in teaching and mentoring students in statistical inference and applied statistics. His teaching methodologies are enriched by his vast academic background and research experience, enabling students to connect theoretical knowledge with real-world applications. His enduring dedication has made him a vital part of BHU’s academic community. 🎓🌟


🔬 Contributions and Research Focus

Dr. Kumar’s research interests lie at the intersection of Applied Statistics, Biostatistics, Public Health, and Machine Learning. His work emphasizes solving complex health and statistical problems through innovative methodologies.

  • In Applied Statistics, he explores methods to analyze and interpret data in ways that provide actionable insights for scientific and societal advancements.
  • His focus on Biostatistics demonstrates his dedication to improving public health outcomes by analyzing biological data effectively.
  • Public Health research forms a cornerstone of his work, where he employs statistical tools to address pressing global health challenges.
  • He integrates Machine Learning techniques to enhance predictive modeling and decision-making in statistical applications, pushing the boundaries of traditional approaches. 🖥️📊

Dr. Kumar’s research is not only theoretical but also pragmatic, aimed at impacting the broader scientific community and society.


🏆 Accolades and Recognition

Dr. Mukesh Kumar’s academic and professional journey is marked by several achievements:

  • Securing prestigious positions at BHU, a globally recognized institution, is a testament to his scholarly excellence.
  • Completing advanced degrees from reputed universities like BHU, IIPS, and Babasaheb Bhimrao Ambedkar University highlights his commitment to continual learning and expertise.
  • His unique blend of statistical, educational, and computational qualifications underscores his multidisciplinary approach to problem-solving. 🌟📜

🌍 Impact and Influence

Dr. Kumar has significantly influenced the academic and research community through his contributions to applied statistics and biostatistics. As a dedicated educator, he inspires students to explore innovative solutions to statistical challenges. His focus on Public Health Statistics addresses global health concerns, ensuring his research is both impactful and relevant.

The integration of Machine Learning techniques in his research sets a benchmark for future statisticians to adopt advanced computational tools in solving complex problems. His role at BHU continues to foster the growth of aspiring statisticians and public health professionals. 📈🌟


🌟 Legacy and Future Contributions

Looking ahead, Dr. Mukesh Kumar aims to expand his research horizons by exploring emerging fields like Artificial Intelligence in statistical modeling and Big Data Analytics for public health. He envisions contributing to policies that improve public health outcomes through data-driven decision-making.

His legacy as an academician and researcher will continue to inspire future generations of students and scholars. Dr. Kumar’s dedication to education, research, and societal impact solidifies his position as a thought leader in the field of statistics. 🌟📚


Through a remarkable blend of education, professional accomplishments, and impactful research, Dr. Mukesh Kumar stands as a beacon of inspiration in the field of applied statistics and public health.

Citations

A total of 239 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        239
  • h-index          24
  • i10-index       08

Notable Publications 

  • Profiling of human genes afflicted with nasopharyngeal carcinoma using microarray data
    Authors: Raj, R., Subhashini, Patel, K.K., Kumar, M.
    Journal: Human Gene
    Year: 2025.
  • Change in malnutrition among under-5 children in Mali: a comparative analysis of 2012–13 and 2018 and exploration of determinants
    Authors: Patel, K.K., Prasad, J.B., Singh, R., Kumar, M.
    Journal: Nutrire
    Year: 2024.
  • Parameter estimation of scale Muth distribution (SMD) under Type-1 censoring using classical and Bayesian approaches
    Authors: Saroj, A., Sonker, P.K., Kumari, S., Ranjan, R., Kumar, M.
    Journal: Reliability: Theory and Applications
    Year: 2023.
  • Stress–strength reliability models on power-Muth distribution
    Authors: Sonker, P.K., Kumar, M., Saroj, A.
    Journal: International Journal of System Assurance Engineering and Management
    Year: 2023.
  • Mathematical modelling and simulation of three-phase lag bio-heat transfer model during cancer treatment
    Authors: Kumar, M., Kaur, H., Upadhyay, S., Singh, S., Rai, K.N.
    Journal: International Journal of Thermal Sciences
    Year: 2023.

Trilochan Rout | Bioinformatics | Best Researcher Award

Mr. Trilochan Rout | Bioinformatics | Best Researcher Award

International Institute of Information Technology(IIIT), India

Author Profile

🎓 Early Academic Pursuits

Trilochan Rout’s journey into the world of academia and engineering began with a solid foundation in his early education. Completing his high school from Sarala High School, Bhitar Andhari, Odisha, in 1998 with a commendable First Division (67.20%), he showcased an aptitude for science and technology. This interest carried forward to his +2 Science studies at A.S.D College Tirtol, Odisha, where he passed with Second Division (50.00%) in 2000.

Fuelled by a passion for engineering, Trilochan pursued a B.Tech. in Computer Science & Engineering from GHITM Puri, Odisha, earning a First Division (65.14%) in 2005. His drive for deeper learning led him to pursue an M.Tech. in Computer Science at Berhampur University, Odisha, achieving an impressive First Division (75%) in 2009. To cement his academic pursuits, Trilochan embarked on a Ph.D. in Computer Science & Engineering at IIIT Bhubaneswar in November 2020. His research focused on the identification of essential cancer proteins in PPI networks using efficient graph-based algorithms. With his Ph.D. thesis submitted in October 2024, he stands at the threshold of contributing groundbreaking advancements in computational biology.


👨‍🏫 Professional Endeavors

Trilochan’s professional career spans over 15 years, showcasing dedication and impactful teaching. He began as a Senior Lecturer in the Department of Computer Science and Engineering at Roland Institute of Technology, Berhampur, Odisha, from 2007 to January 2010. Here, he honed his pedagogical skills and laid the groundwork for his academic excellence.

In February 2010, Trilochan transitioned to NM Institute of Engineering & Technology, Bhubaneswar, as an Assistant Professor in Computer Science and Engineering. During his decade-long tenure, he contributed significantly to student success and departmental growth.

Since July 2024, Trilochan has been associated with the Centurion University of Technology and Management (CUTM), Bhubaneswar, as an Assistant Professor. His role extends beyond teaching, involving mentorship, research guidance, and academic program development.


🔍 Contributions and Research Focus

Trilochan’s primary research lies in the application of graph-based algorithms for solving real-world problems. His Ph.D. work, centered on identifying essential cancer proteins in protein-protein interaction (PPI) networks, highlights his innovative approach to computational biology. His research has significant implications for cancer treatment, aiding in the discovery of target proteins for drug development.

His interest extends to areas like:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Graph Theory Applications
  • Bioinformatics

Through publications and presentations, Trilochan continues to disseminate his knowledge, inspiring both peers and students.


🏆 Accolades and Recognition

Trilochan has been recognized for his academic rigor and professional excellence throughout his career. Noteworthy highlights include:

  • Successfully mentoring students who have excelled in both academia and industry.
  • Leading workshops and seminars, fostering innovation in computer science education.
  • Contributing to curriculum design at his institutions, aligning them with modern technological trends.

🌟 Impact and Influence

As a teacher, Trilochan is revered for his student-centric approach. His ability to simplify complex concepts and instill a passion for learning has positively influenced hundreds of budding engineers. By integrating cutting-edge research into classroom teaching, he bridges the gap between theory and practice.

His impact extends to institutional growth, where he has played a pivotal role in enhancing academic standards, collaborating with peers to introduce innovative teaching methodologies.


🌍 Legacy and Future Contributions

Trilochan envisions a future where education and research intersect to solve pressing global challenges. His contributions to bioinformatics are set to pave the way for advancements in healthcare. As a mentor, he aims to nurture the next generation of researchers who will push the boundaries of computer science.

In the coming years, Trilochan plans to:

  • Expand his research into AI-driven healthcare solutions.
  • Author academic texts and research papers to share his expertise.
  • Develop interdisciplinary programs to equip students for a rapidly evolving tech landscape.

Notable Publications 

  • Title: Centrality-Based Approach for Identifying Essential Cancer Proteins in PPI Networks
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: SN Computer Science
    Year: 2025.
  • Title: Essential Proteins in Cancer Networks: A Graph-Based Perspective Using Dijkstra’s Algorithm
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
    Year: 2024.
  • Title: A Systematic Review of Graph-Based Explorations of PPI Networks: Methods, Resources, and Best Practices
    Authors: Rout, T., Mohapatra, A., Kar, M.
    Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
    Year: 2024.
  • Title: Essential Protein Identification in Cancer: A Graph-Based Approach Integrating Topological and Biological Features in PPI Networks
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: SN Computer Science
    Year: 2024.
  • Title: Essential Cancer Protein Identification Using Graph-Based Random Walk with Restart
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: Computer Methods in Biomechanics and Biomedical Engineering
    Year: 2024.

Bharath BR | Computational chemistry | Best Researcher Award

Dr. Bharath BR | Computational chemistry | Best Researcher Award

Jai Research Foundation India

Author Profile

Early Academic Pursuits 🎓

Bharath BR’s journey into the world of computational biology began with a robust academic foundation. He pursued an MSc in Bioinformatics from Kuvempu University, Shivamogga, India, graduating in 2008. This laid the groundwork for his interest in bioinformatics and molecular biology. His passion for computational methods in understanding biological systems was solidified when he pursued a Doctor of Philosophy (PhD) from the same institution, which he completed in 2014. His early academic pursuits were focused on understanding molecular modelling and bioinformatics, giving him the skills necessary to delve into complex biological problems using computational tools.During his early academic years, Bharath BR’s interest in systems biology and predictive toxicology grew, leading him to explore the computational aspects of biology. He gained expertise in molecular modelling and simulations, which would later become essential to his professional career. His involvement in academia as a guest lecturer at Kuvempu University shortly after completing his MSc demonstrates his commitment to education and sharing knowledge.

Professional Endeavors 🧑‍🔬

Bharath BR’s career showcases his vast experience in academia and industry, blending both research and application of bioinformatics and computational biology. He began his professional career in academia as an Assistant Professor at the Department of Biotechnology, NMAMIT, Nitte, where he worked from 2010 to 2019. During this period, Bharath contributed significantly to academic teaching and research, with a specific focus on bioinformatics and structural biology. His years in academia allowed him to develop technical expertise, particularly in areas like molecular docking, molecular dynamics, and homology modelling. This experience would later contribute to his research efforts in computational biology.While teaching at NMAMIT, Bharath also built research collaborations with industry partners. His technical consultancy work with Atrimed Biotech LLP in 2017 provided him with industry exposure. His work here involved developing plant molecule databases and performing molecular docking for screening potential plant-based small molecules for therapeutic purposes. As the Head of Computational Biology at Atrimed Biotech LLP from 2019 to 2021, he led a team focused on CADD research (computer-aided drug design), identifying, validating, and modelling potential drug targets.Since 2021, Bharath has been serving as a Senior Research Officer at Jai Research Foundation, India, where he leads the predictive toxicity team. His current role focuses on screening small molecules for various toxicity endpoints and understanding the mechanisms of toxicity through a systems biology approach. Bharath also develops QSAR (Quantitative Structure-Activity Relationship) and statistical models for toxicological endpoints using machine learning techniques. His work contributes to the safety evaluation of molecules, an essential aspect of drug development and chemical safety.

Contributions and Research Focus 🔬

Bharath BR’s research focus spans several cutting-edge fields of computational biology and bioinformatics. Throughout his career, he has developed a broad range of skills that have made him a valuable contributor to various research projects. His expertise includes molecular modelling, molecular docking, epitope mapping, antibody design, and pharmacophore mapping. His proficiency in protein-protein docking, antigen-antibody interactions, and in silico antibody humanisation has allowed him to contribute to research related to drug discovery and molecular interactions.In the realm of predictive toxicology, Bharath has made strides in the prediction and understanding of various toxicological endpoints. His work on skin sensitisation, eye irritation, mutagenicity, and oral toxicity has been instrumental in the preclinical assessment of new compounds. His ability to model and predict the toxicity of molecules using QSAR and PBPK (Physiologically Based Pharmacokinetic) models plays a critical role in reducing the potential risks associated with new chemicals and drugs.Additionally, Bharath’s expertise extends into systems biology, where he uses tools like CellDesigner, Tinker Cell, Cytoscape, and Vcell to model and simulate biological networks. His research into metabolic engineering and flux balance analysis further demonstrates his comprehensive understanding of how biological systems function and how they can be manipulated for therapeutic purposes.

Accolades and Recognition 🏆

Throughout his career, Bharath BR has received recognition for his contributions to the field of computational biology. His technical consultancy work with Atrimed Biotech LLP stands out as a key achievement, where he was able to bridge the gap between academic research and industrial applications. Bharath has been acknowledged for his contributions to the development of plant-based drug discovery, a field that has gained considerable attention due to the potential of plant molecules in therapeutic interventions.His work in predictive toxicology has also garnered attention, particularly his efforts to develop machine learning models for toxicity prediction. Bharath’s contributions have been crucial in enhancing the accuracy of toxicity screening, thereby improving the safety evaluation of drugs and chemicals.

Impact and Influence 🌍

Bharath’s work in computational biology has had a significant impact on both academic research and industrial applications. By integrating bioinformatics with predictive toxicology and systems biology, he has influenced the way researchers approach drug discovery and toxicity evaluation. His contributions to the development of machine learning models for predicting toxicological endpoints have advanced the ability to screen compounds more efficiently, reducing the reliance on animal testing and accelerating the drug development process.Furthermore, Bharath’s academic background and teaching experience have allowed him to influence a new generation of bioinformatics students and researchers. His work as an educator and mentor has helped shape the future of computational biology research.

Legacy and Future Contributions 🌟

Looking ahead, Bharath BR’s legacy will likely be defined by his contributions to computational biology, particularly his work in the areas of predictive toxicology and drug discovery. His ongoing research in developing more accurate and efficient computational models will continue to shape the fields of toxicology, systems biology, and bioinformatics.Bharath’s future contributions are poised to have a lasting impact on the pharmaceutical and biotechnology industries, where his work on predictive models and in silico methods can lead to safer and more effective therapies. His unique combination of academic expertise and industrial experience positions him to make significant advances in the field of computational biology.

Citations

A total of 304 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         304
  • h-index           21
  • i10-index        9

Notable Publications 

  • Title: Plant formulation ATRICOV 452 in improving the level of COVID-19 specific inflammatory markers in patients
    Authors: Damle, L., Damle, H., BR, B.
    Journal: Contemporary Clinical Trials Communications
    Year: 2022.
  • Title: In silico, in vitro screening of plant extracts for anti-SARS-CoV-2 activity and evaluation of their acute and sub-acute toxicity
    Authors: Latha, D., Hrishikesh, D., Shiban, G., Chandrashekar, C., Bharath, B.R.
    Journal: Phytomedicine Plus
    Year: 2022.
  • Title: Understanding pharmacodynamics of butyl isobutyl phthalate: Where in vitro and in silico studies converge
    Authors: Raghavendra, H.L., Bharath, B.R., Kekuda, T.R.P., Chaitanya, M.M.V.N.L., Kumar, H.S.S.
    Journal: Indian Journal of Pharmaceutical Sciences
    Year: 2021.
  • Title: Protein-protein interaction and molecular dynamics of iturin a gene on effector proteins of phytophthora infestans
    Authors: Kumbar, B., Kandagalla, S., Bharath, B.R., Sharath, B.S., Mahmood, R.
    Journal: Combinatorial Chemistry and High Throughput Screening
    Year: 2021.
  • Title: Stable isoniazid derivatives: In silico studies, synthesis and biological assessment against mycobacterium tuberculosis in liquid culture
    Authors: Gaonkar, S.L., Hakkimane, S.S., Bharath, B.R., Vignesh, U.N., Guru, B.R.
    Journal: Rasayan Journal of Chemistry
    Year: 2020.