Eric Howard | Research Excellence | Research Excellence Award

Published on by Scientist Day

Dr. Eric Howard | Research Excellence | Research Excellence Award

Dr. Eric Howard | Macquarie University | Australia

Dr. Eric Howard is an accomplished academic leader, researcher, and innovator with nearly three decades of combined experience across computational physics, astronomy, quantum computing, data science, and cybersecurity. He has made influential contributions through teaching, curriculum design, research supervision, and interdisciplinary program development across multiple higher-education sectors. His academic leadership includes directing programs and advancing pedagogical frameworks for undergraduate, postgraduate, and MBA-level studies. Dr. Howard’s research portfolio reflects significant advancements in emerging technologies. His completed and ongoing projects span quantum machine learning for fraud detection, hybrid quantum-classical neural networks for intrusion detection, quantum Bayesian inference models, variational simulations of molecular ground states, holographic beam shaping with AI optimization, and quantum graph neural networks for complex systems. He has published more than sixty peer-reviewed papers in respected SCI and Scopus-indexed journals, covering quantum information science, artificial intelligence, cosmology, cryptography, and computational physics. He also contributes to global scholarship as an editor for international journals in physics and theoretical mathematics, while serving as a peer reviewer for prominent scientific publishers and organizations. In addition, Dr. Howard maintains strong collaborative ties with national research institutes, quantum technology networks, and centers of excellence, advancing high-impact interdisciplinary projects. In industry, Dr. Howard has demonstrated entrepreneurial leadership as CEO of companies specializing in AI-powered cybersecurity and data-driven digital automation. His consultancy experience includes developing secure e-learning ecosystems, threat intelligence platforms, cloud security frameworks, and advanced analytics solutions for enterprise and academic clients. Dr. Howard’s key contributions include pioneering quantum-enhanced cybersecurity models, designing AI-driven threat intelligence frameworks, and leading competitive grant-funded projects in quantum sensing, VQE simulations, and digital security. His sustained commitment to innovation, mentorship, and research excellence underscores his significant impact on scientific, technological, and educational advancement.

Profile: Orcid | Google Scholar

Featured Publications

Howard, E. (2025). Data imputation with deep learning: AI techniques for handling missing or noisy data. Eksplorium. https://doi.org/10.52783/eksplorium.65

Howard, E. (2025). End-to-end visibility in global supply chains: Blockchain and AI integration [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.28528676

Howard, E. (2025). Leveraging computer vision and data science for enhanced operational efficiency in smart enterprises. Tangence. https://doi.org/10.52783/tangence.6

Ramshankar, P., Howard, E., Srinivasan, V., Prabu, D., Dhanraj, J. A., Kumar, M. J., & Rajendiran, M. (2025). Nanoscale characterization and imaging techniques for material analysis. AIP Conference Proceedings. https://doi.org/10.1063/5.0277578

Howard, E. (2025). Optimization of heat transfer in mechanical systems using AI in neural networks. Tangence. https://doi.org/10.52783/tangence.3

Howard, E. (2025). Real-time image-based data processing and its applications in managerial decision-making and risk analysis. Eksplorium. https://doi.org/10.52783/eksplorium.181

Surendiran Mohan | Material Science | Excellence in Research

Published on by Scientist Day

Dr. Surendiran Mohan | Material Science | Excellence in Research

Dr. Surendiran Mohan | Vinayaka Mission’s Research Foundation | India

Dr. M. Surendiran is a distinguished academic and researcher specializing in nanobiomaterials, analytical chemistry, materials science, corrosion science, and sustainable materials. His research primarily focuses on the development of bio-ceramic and polymer coatings for biomedical and anticorrosive applications, as well as multifunctional inhibitor systems and advanced composite materials for environmental and industrial use. With nearly a decade of professional experience, he has published 23 research papers that have garnered 456 citations across 436 documents, reflecting his growing influence in the scientific community. His h-index of 9 demonstrates the strong impact and consistency of his scholarly work. In addition to publishing high-impact research with a cumulative impact factor of nearly 100, he has contributed book chapters, filed and published patents, and secured several funded research projects. He has received numerous awards for his academic excellence and research leadership and has guided postgraduate and doctoral scholars in cutting-edge materials research. Actively engaged in institutional quality assurance, accreditation, and research development, he also collaborates internationally with leading scientists from Malaysia, Saudi Arabia, South Africa, China, and India, advancing interdisciplinary innovations in sustainable and biomedical materials.

Profiles: Scopus | Google Scholar

Featured Publications

Surendiran, M., Indira, K. M. A., & Al-Humaid, L. A. (2025). Understanding the effective breakdown of PAHs in water through the use of g–C₃N₄–Ag–Cu–Ni nanocomposites. Chemosphere.

Surendiran, M., Srinivasan, S. G., Manickam, A., Sivakumar, S., & Jeevadharani, P. (2025). A comprehensive review: Surface modification strategies to enhance corrosion resistance of zirconia-based biomaterials in implant applications. Journal of Materials Science: Materials in Engineering, 20(76).

Surendiran, M., Kartik, R., & Muthusamy, S. (2025). Chemical modifications of chitin and chitosan fibers and filaments: A review. Macromolecular Chemistry and Physics, 2400422, 1–16.

Surendiran, M., Gopi Srinivasan, P. A., & Mohan, S. (2025). Versatile application of calixarenes and their derivatives: From drug delivery to industrial catalysis and environmental remediation. Critical Reviews in Analytical Chemistry.

Surendiran, M., Indira, K., Chozhanathmisra, M., & Aloufi, A. S. (2025). Electrochemical and corrosion protection performance of Sr-HaP/PoPD coated LN stainless steel. Journal of the Taiwan Institute of Chemical Engineers, 166, 105447.

Ajit Yadav | Research Excellence | Best Researcher Award

Published on by Scientist Day

Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Sayak Chatterjee | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Yu Lan Wang | Research Excellence | Best Researcher Award

Published on by Scientist Day

Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.