Hafiz Hammad | Bioinformatics in Pharmaceuticals | Research Excellence Award

Mr. Hafiz Hammad | Bioinformatics in Pharmaceuticals | Research Excellence Award

National Centre for Bioinformatics | Pakistan

Mr. Hafiz Hammad is an emerging bioinformaticist and computational biologist whose academic training and professional pursuits reflect a strong interdisciplinary foundation spanning biotechnology, bioinformatics, computer science, artificial intelligence, and data analytics. He is currently pursuing an MPhil in Bioinformatics as a Research Scholar at the Computational Biology Lab, National Center of Bioinformatics, Quaid-i-Azam University, Islamabad. His academic journey includes an Associate Degree in Computer Science from the Virtual University of Pakistan, a BS (Hons) in Biotechnology from the University of the Punjab, Lahore, an FSc. in Pre-Medical from Government College University, Lahore, and his matriculation from Society Public School, Moghalpura, Lahore.Through numerous certifications from internationally recognized institutions—including IBM, Google, Coursera, Novartis, Johns Hopkins University, the University of Toronto, and DTU—Mr. Hammad has developed advanced skills in machine learning, deep learning, data visualization, genomics, pharmacokinetics, cybersecurity, and quantum programming. His technical proficiency is further strengthened by badges in data analysis, data science tools, PyMOL-based molecular visualization, cloud computing, and AI-based enterprise frameworks.Professionally, he has contributed as a Bioinformaticist at BioInfoQuant, a Bioinformatics Analyst at BioInfoXpert, and a Research Apprentice at the University of the Punjab. His practical experience also includes multiple internships in administrative, analytical, and molecular biology settings. Beyond professional roles, he has played a significant part in academic training and capacity building, serving as a facilitator, resource person, and organizer for numerous workshops and national-level training programs on RNA-Seq, NGS data analysis, molecular docking, multi-omics data analysis, and computational biology. His contributions have supported the training of faculty, researchers, and over fifty students across Pakistan.Mr. Hammad has co-authored several peer-reviewed publications, contributing to research in microbiology, drug discovery, structural dynamics, genomics, and computational oncology. His works include Molecular and Metabolic Characterization of Petroleum Hydrocarbon-Degrading Bacillus cereus, Exploring Optimal Drug Targets through Subtractive Proteomics Analysis and Pangenomic Insights for Tailored Drug Design in Tuberculosis, Comprehensive Analysis and Outcomes of Hybridization of Physiologically Active Heterocycles Targeting EGFR, Evaluation of Cannabis-Derived Anti-Inflammatory Treatment and Computational Studies, Genetic Analysis of HPV-16 L1 Gene Mutations and Computational Screening of Therapeutic Inhibitors for Cervical Cancer Treatment, and Identification of Novel Therapeutic Inhibitors against E6 and E7 Oncogenes of HPV-16 Associated with Cervical Cancer.With a rapidly expanding research portfolio, multidisciplinary expertise, and active engagement in scientific training, Mr. Hafiz Hammad continues to establish himself as a promising researcher contributing to advancements in bioinformatics, computational biology, and data-driven biomedical innovation.

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Featured Publications

Khan MF, Ali A, Rehman HM, Noor Khan S, Hammad HM, Waseem M, et al. Exploring optimal drug targets through subtractive proteomics analysis and pangenomic insights for tailored drug design in tuberculosis. Scientific Reports. 14(1):10904.

Hussain N, Muccee F, Hammad M, Mohiuddin F, Bunny SM, Shahab A. Molecular and metabolic characterization of petroleum hydrocarbons degrading Bacillus cereus. Polish Journal of Microbiology. 73(1):107–120.

Younas S, Nosheen A, Malik ZI, Hussain N, Khan MU, Alhegaili AS, et al. Genetic analysis of HPV-16 L1 gene mutations and computational screening of therapeutic inhibitors for cervical cancer treatment. Medical Oncology. 42(5):153.

Rafiq H, Fareed G, Rehman HM, Yasmeen S, Wu Y, Sohail T, Imran H, et al. Evaluation of cannabis-derived anti-inflammatory and analgesic treatment and identification of cannabinoid-based inhibition of prostaglandin through computational studies. Journal of Biomolecular Structure and Dynamics. 1–14.

Kaur M, Rehman HM, Wu Y, Kaur G, Hammad HM, Usmani YS, Kaur A, et al. Comprehensive analysis and outcomes of hybridization of physiologically active heterocycles targeting epidermal growth factor receptor (EGFR). Computers in Biology and Medicine. 184.

Krishna Pada Das | Bioinformatics in Pharmaceuticals | Best Researcher Award

Assoc. Prof. Dr. Krishna Pada Das | Bioinformatics in Pharmaceuticals | Best Researcher Award

Mahadevananda Mahavidyalaya | India

Assoc. Prof. Dr. Krishna Pada Das is a distinguished academic with a robust background in mathematical biology, particularly in the field of population dynamics and mathematical modeling. He obtained his Bachelor’s and Master’s degrees in Mathematical Science from Calcutta University, Kolkata, before completing his Ph.D. in Applied Mathematics at Jadavpur University, Kolkata, under the guidance of Prof. Joydev Chattopadhyay of the Indian Statistical Institute. His doctoral research, which focused on the nonlinear dynamics of predator-prey interactions with disease in the population, laid the foundation for his continued work in mathematical modeling of ecological and epidemiological systems.Dr. Das has held various academic positions throughout his career, starting as a Junior Research Fellow at the Indian Statistical Institute in the Agricultural and Ecological Research Unit, where he worked from 2006 to 2008. He was later promoted to Senior Research Fellow until 2010. His academic career at Mahadevananda Mahavidyalaya, Kolkata, began in 2010, where he served as an Assistant Professor and was later promoted to Associate Professor in 2022. His academic positions have allowed him to make significant contributions to both research and teaching in the field of applied mathematics, especially in mathematical ecology and epidemiology.His primary research interests lie in mathematical modeling for biological systems, with a particular focus on the dynamics of populations in ecological and epidemiological settings. His work spans a variety of complex systems, including predator-prey models, disease transmission dynamics, plankton population dynamics, and eco-epidemiology. Dr. Das uses advanced mathematical techniques, including ordinary differential equations, stochastic processes, delay differential equations, and fractional calculus, to model the behavior of these systems. His current research explores HIV infection models, epidemiological models, and eco-epidemiological systems, with an emphasis on understanding the effects of factors such as time delays, diffusion, spatio-temporal dynamics, and the role of randomness in these systems.

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Featured Publications

Das, K., & Mukherjee, A. K. (2007). Differential utilization of pyrene as the sole source of carbon by Bacillus subtilis and Pseudomonas aeruginosa strains: Role of biosurfactants in enhancing. Journal of Applied Microbiology, 102(1), 195-203.

Soni, B. K., Das, K., & Ghose, T. K. (1982). Bioconversion of agro-wastes into acetone butanol. Biotechnology Letters, 4(1), 19-22.

Dutta, S. K., Das, K., Ghosh, B., & Blackman, C. F. (1992). Dose dependence of acetylcholinesterase activity in neuroblastoma cells exposed to modulated radio-frequency electromagnetic radiation. Bioelectromagnetics, 13(4), 317-322.

Kooi, B. W., van Voorn, G. A. K., & Das, K. P. (2011). Stabilization and complex dynamics in a predator–prey model with predator suffering from an infectious disease. Ecological Complexity, 8(1), 113-122.

Das, C. R., Mondal, N. K., Aditya, P., Datta, J. K., Banerjee, A., & Das, K. (2012). Allelopathic potentialities of leachates of leaf litter of some selected tree species on gram seeds under laboratory conditions. Asian Journal of Experimental Biological Sciences, 3(1), 59-65.

Das, K. P., Kundu, K., & Chattopadhyay, J. (2011). A predator–prey mathematical model with both the populations affected by diseases. Ecological Complexity, 8(1), 68-80.

Ghose, T. K., & Das, K. (2006). A simplified kinetic approach to cellulose-cellulase system. Advances in Biochemical Engineering, 1, 55-76.

Das, A., Ghosh, S., Das, K., Basu, T., Das, M., & Dutta, I. (2020). Modeling the effect of area deprivation on COVID-19 incidences: A study of Chennai megacity, India. Public Health, 185, 266-269.