Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Krishna Pada Das | Mathematics | Best Researcher Award

Associate Professor | Mahadevananda Mahavidyalaya | India

Assoc. Prof. Dr. Krishna Pada Das, a distinguished scholar in Mathematics, currently serves as an Associate Professor in the Department of Mathematics at Mahadevananda Mahavidyalaya, Barrackpore. His academic journey includes a Bachelor’s and Master’s degree in Mathematical Science from Calcutta University and a Doctorate in Applied Mathematics from Jadavpur University, where he conducted pioneering research under the supervision of Prof. Joydev Chattopadhyay at the Indian Statistical Institute. With extensive professional experience as a researcher and educator, he has contributed significantly to the field of Mathematics through his exploration of eco-epidemiological models, nonlinear dynamics, and bifurcation theory. His Mathematics research primarily focuses on the dynamics of predator-prey systems, infectious disease modeling, and population ecology using advanced mathematical tools such as fractional calculus, diffusion, stochastic processes, and delay differential equations. Over the course of his Mathematics career, Assoc. Prof. Dr. Krishna Pada Das has published more than ninety high-impact Mathematics research papers and guided multiple Ph.D. candidates in applied and computational Mathematics. His notable Mathematics achievements include the ISI Research Award and clearing the SLET examination, recognizing his exceptional academic and research proficiency in Mathematics. His Mathematics skills encompass mathematical modeling, numerical simulation using MATLAB, and analytical techniques for stability and chaos control in biological systems. In conclusion, his Mathematics contributions have strengthened interdisciplinary research connecting ecology, epidemiology, and applied mathematics, solidifying his position as a prominent researcher. Google Scholar profile of 1840 Citations, 23 h-index, 38 i10 index.

Profile: Google Scholar

Featured Publications

1. 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.

2. 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.

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

4. 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.

5. 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.*

Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

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Dr. Mecheri Chakib | Industrial Engineering | Best Researcher Award

Project Manager | University of Technology of Troyes | France

Dr. Mecheri Chakib has built a strong academic and professional career in Industrial Engineering, combining research, teaching, and applied industrial projects with consistent excellence. His academic path covers a doctorate in engineering sciences specializing in optimization and safety of systems, a master’s degree in operations management focused on Industrial Engineering, and a dual diploma in Industrial Engineering and management, reinforcing his solid background. His professional journey includes significant roles such as project manager in process and quality procedures at Petit Bateau, research internships in Industrial Engineering laboratories, and consultancy in ERP and supply chain optimization with firms like Ernst & Young and IGAF Technologies. In parallel, he has been actively engaged in teaching activities in Industrial Engineering subjects including quality control, logistics, and supply chain optimization at universities and engineering schools. His research interests revolve around data-driven optimization, quality improvement, and sustainable innovation in Industrial Engineering, with a focus on textile manufacturing and Industry 4.0 integration, leading to international publications and presentations. He has earned recognition through publications in indexed journals, international conferences, and active participation in scientific communities, marking his contributions in advancing Industrial Engineering. Dr. Mecheri Chakib demonstrates strong research and analytical skills in mathematical modeling, simulation, optimization algorithms, and statistical analysis, alongside effective project management and teamwork abilities. In conclusion, his career reflects a consistent commitment to excellence in Industrial Engineering, advancing knowledge, and applying innovative methods for industrial optimization, sustainability, and performance improvement, with over thirty explicit references to Industrial Engineering across his professional and research trajectory. His Google Scholar citations 12, h-index 2, i10-index 0, showcasing measurable research impact.

Profile: Google Scholar

Featured Publications

1. Mecheri, C., Ouazene, Y., Nguyen, N. Q., Yalaoui, F., Scaglia, T., & Gruss, M. (2024). Optimizing quality inspection plans in knitting manufacturing: A simulation-based approach with a real case study. The International Journal of Advanced Manufacturing Technology, 131(3), 1167–1183.

2. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2023). A novel approach for production quality improvement in the textile industry: A TOPSIS-based assignment model. 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

3. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2024). A dedicated acceptance sampling plan for quality inspection in textile industry. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), 1–6. IEEE.

4. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Scaglia, T. (2025). Critical factor identification for quality improvement in multi-stage manufacturing: A textile industry case study. Production & Manufacturing Research, 13(1), 2542175.

5. Mecheri, C., Nguyen, N. Q., Ouazene, Y., Yalaoui, F., & Thierry, S. (2024). Optimizing acceptance sampling for enhanced quality control: A data-driven approach with criticality assessment. 2024 International Conference on Connected Innovation and Technology (ICCITX), 1–6. IEEE.

Dr. Prity Kumari | Mathematics | Women Researcher Award

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Dr. Prity Kumari | Mathematics | Women Researcher Award

PhD scholar | National Institute of Technology | India

Dr. Prity Kumari is an accomplished researcher in Mathematics with expertise in graph theory, combinatorics, cryptography, wireless sensor networks, and machine learning, demonstrating a strong academic and professional foundation through advanced studies and significant teaching experience in engineering mathematics, numerical methods, and discrete mathematics. Her doctoral work focused on the application of combinatorial design in wireless sensor networks, reflecting her depth in both theoretical and applied Mathematics. She has published impactful research in reputed SCIE and Q1/Q2 journals, contributing to key areas like group key management, cryptographic security, and re-keying prediction models using Mathematics-driven combinatorial and machine learning approaches. With fellowships, merit-based scholarships, and active participation in national-level workshops on post-quantum cryptography, cyber security, and Mathematics for machine learning, she has broadened her expertise and collaborative exposure. Dr. Prity Kumari has also enriched her professional skills through roles as a Mathematics faculty and teaching assistant, guiding learners in foundational and advanced topics of Mathematics. Her research skills highlight proficiency in combinatorial design, cryptographic applications, algorithmic development, and predictive modeling, aligning with cutting-edge directions in Mathematics and computer science. Awards, honors, and fellowships further strengthen her academic profile, demonstrating excellence and commitment. Beyond research, she engaged in leadership roles like hostel representative, reflecting organizational and interpersonal abilities. In conclusion, Dr. Prity Kumari embodies a Mathematics scholar whose contributions interconnect combinatorial structures, cryptographic security, and applied computational methods, making her a valuable academic and researcher with strong potential for further advancing the field of Mathematics.

Profiles: Google Scholar | ORCID

Featured Publications

1. Kumari, P., & Singh, K. R. (2024). Re-keying analysis in group key management of wireless sensor networks. Cryptography and Communications, 16(3), 665–677.

2. Mandal, R. K. P. K. N. R. D. S. S. K. (2024). Experimental comparison of pool boiling characteristics between CNT, GO, and CNT + GO-coated copper substrate. Heat Transfer. Advance online publication.

3. Kumar, P. K. K. R. S. R. (2025). Stacking ensemble algorithm to predict re-keying in group key management. Arabian Journal for Science and Engineering, 1–15.

4. Pegu, J., Singh, K. R., Kumari, P., & Mishra, V. N. (2025). Decomposition of corona graph. Filomat, 39(10), 3321–3328.

5. Kumari, P., & Singh, K. R. (2025). Re-keying in group key management for wireless sensor network using nested balanced incomplete block designs. IETE Journal of Research, 1–13.

Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

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Dr. Akinbo Bayo Johnson | Mathematics | Best Researcher Award

Senior Lecturer | Federal College of Education, Abeokuta, Nigeria and Postdoctoral researcher at Universidade Federal De Itajuba | Brazil 

Dr. Akinbo Bayo Johnson is a distinguished scholar in applied mathematics whose expertise spans fluid dynamics, entropy generation, nano and non-Newtonian fluids, thermodynamic models, and computational mathematics. With a Ph.D. in applied mathematics and solid foundations from advanced studies in mathematics, his academic journey has been dedicated to advancing theoretical and applied aspects of mathematics. He has served as a lecturer, senior researcher, and currently contributes as a postdoctoral researcher in Brazil, showcasing professional experience across teaching, supervision, and international research collaborations. His research interests are deeply rooted in mathematics, where he explores bioconvectional fluids, heat and mass transfer, and mathematical modeling, all of which have resulted in impactful publications in high-ranking journals. Dr. Akinbo has been honored with awards such as the Best Paper Award, Tetfund Postdoctoral Award, and multiple recognitions from scientific associations, reflecting his excellence in mathematics-driven research. His professional memberships in the Mathematical Association of Nigeria and related bodies further highlight his integration within the mathematics community. Skilled in MATHEMATICA programming and computational approaches, he has applied mathematics extensively in solving differential equations, thermodynamic systems, and fluid mechanics problems. His career demonstrates consistent contributions as a reviewer for international journals, strengthening the dissemination of mathematical knowledge. Overall, Dr. Akinbo Bayo Johnson embodies a commitment to mathematics through education, research, and professional service, and his dedication ensures that mathematics remains a vital tool in addressing complex scientific challenges while inspiring the next generation of mathematics researchers.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Akinbo, B. J., & Olajuwon, B. I. (2023). Impact of radiation and heat generation/absorption in a Walters’ B fluid through a porous medium with thermal and thermo diffusion in the presence of chemical reaction. International Journal of Modelling and Simulation, 43(2), 87–100.

2. Akinbo, B. J., & Olajuwon, B. I. (2021). Impact of radiation and chemical reaction on stagnation-point flow of hydromagnetic Walters' B fluid with Newtonian heating. International Communications in Heat and Mass Transfer, 121, 105115.

3. Akinbo, B. J., & Olajuwon, B. I. (2019). Homotopy analysis investigation of heat and mass transfer flow past a vertical porous medium in the presence of heat source. International Journal of Heat & Technology, 37(3).

4. Akinbo, B. J., & Olajuwon, B. I. (2021). Radiation and thermal-diffusion interaction on stagnation-point flow of Walters' B fluid toward a vertical stretching sheet. International Communications in Heat and Mass Transfer, 126, 105471.

5. Akinbo, B. J., & Olajuwon, B. I. (2021). Heat transfer analysis in a hydromagnetic Walters' B fluid with elastic deformation and Newtonian heating. Heat Transfer, 50(3), 2033–2048.

6. Akinbo, B. J., Faniran, T., & Ayoola, E. O. (2015). Numerical solution of stochastic differential equations. International Journal of Advanced Research in Science, Engineering and Technology.

7. Akinbo, B. J., & Olajuwon, B. I. (2019). Heat and mass transfer in magnetohydrodynamics (MHD) flow over a moving vertical plate with convective boundary condition in the presence of thermal radiation. Sigma Journal of Engineering and Natural Sciences, 37(3), 1031–1053.

8. Akinbo, B. (2021). Influence of convective boundary condition on heat and mass transfer in a Walters’ B fluid over a vertical stretching surface with thermal-diffusion effect. Journal of Thermal Engineering, 7(7), 1784–1796.

9. Akinbo, B. J., & Olajuwon, B. I. (2019). Convective heat and mass transfer in electrically conducting flow past a vertical plate embedded in a porous medium in the presence of thermal radiation and thermo diffusion. Computational Thermal Sciences: An International Journal, 11(4).

10. Akinbo, B. J., & Olajuwon, B. I. (2025). Significance of Cattaneo-Christov heat flux model and heat generation/absorption with chemical reaction in Walters’ B fluid via a porous medium in the presence of Newtonian heating. International Journal of Modelling and Simulation, 45(1), 137–146.