Dibyanshu | Pharmaceutical Analysis | Best Researcher Award

Dr. Dibyanshu | Pharmaceutical Analysis | Best Researcher Award

Freiberg University of Mining and Technology | Germany

Dr. Dibyanshu is an accomplished researcher in the field of Environmental Engineering, with expertise spanning emerging contaminants, fate and transport mechanisms, colloid filtration, and groundwater remediation. He completed his doctoral studies at the prestigious Indian Institute of Technology, Patna, where his dissertation, Fate and Transport Behavior of Engineered Nanoparticles through Porous Media, contributed valuable insights into contaminant migration in subsurface environments. His academic journey includes an Integrated M-Tech in Water Engineering and Management from the Central University of Jharkhand, followed by a series of impactful research and teaching positions, including Assistant Professorship and Research Assistantship roles at leading institutions.As an Alexander von Humboldt post-doctoral fellow at Technische Universität Bergakademie Freiberg, Germany, Dr. Dibyanshu focuses on the Fate and Transport of Pharmaceuticals through Unsaturated Porous Media via Infiltration, emphasizing sustainable solutions for groundwater quality management. His earlier work on In-situ Remediation of Arsenic Using Immobilized Iron Sulphide in 3-D Tank Systems reflects his commitment to practical environmental applications alongside theoretical advancements.Dr. Dibyanshu’s research portfolio features an impressive array of peer-reviewed publications in high-impact journals. Notable works include Influence of Agricultural Practices and Environmental Conditions on Pharmaceuticals in Recharge Waters in Science of The Total Environment, Emerging Contaminants: Assessing the Release of Pharmaceuticals via Managed Aquifer Recharge in Environmental Science and Pollution Research, and Trace Compounds in the Urban Water Cycle in the Freiberg Region, Germany in Frontiers in Water. His contributions extend to modeling studies such as Modeling the Transport Behavior of Zinc Oxide Nanoparticles in Soil under Various Environmental Conditions in Water, Air, & Soil Pollution and comprehensive reviews like Fate and Transport Behavior of Engineered Nanoparticles

Profile: Google Scholar

Featured Publications

Dibyanshu, K., Chhaya, T., & Raychoudhury, T. (2023). A review on the fate and transport behavior of engineered nanoparticles: Possibility of becoming an emerging contaminant in the groundwater. International Journal of Environmental Science and Technology, 20(4), 4649–4672.

Dibyanshu, & Raychoudhury, T. (2019). Co-transport behavior of nano-ZnO particles in the presence of metal-nanoparticles through saturated porous media. Journal of Environmental Chemical Engineering, 7(3), 103103.

Dibyanshu, & Raychoudhury, T. (2020). Transport behaviour of different metal-based nanoparticles through natural sediment in the presence of humic acid and under the groundwater condition. Journal of Earth System Science, 129(1), 1–12.

Kumar, A., Dibyanshu, & Raychoudhury, T. (2020). Long-term fate of ZnO-FexOy mix-nanoparticles through the saturated porous media under constant head condition. Science of The Total Environment, 721, 137669.

Dibyanshu, Pradhan, I., Nayak, A., & Raychoudhury, T. (2021). Variation in porous media compositions influence the co-transport behavior of ZnO and FexOy mixed nanoparticles. Groundwater for Sustainable Development, 100710.

Chhaya, S., Dibyanshu, S., Singh, S., & Raychoudhury, T. (2022). Nanoparticles and nanocomposite materials for water treatment: Application in fixed bed column filter. In Sustainable Water Treatment: Advances and Technological Interventions (pp. 171–244).

Seetha, N., Dibyanshu, & Raychoudhury, T. (2024). Modeling the transport behavior of zinc oxide nanoparticles in soil under various environmental conditions. Water, Air, & Soil Pollution, 235(1), 55.

Dibyanshu, Kern, M., & Scheytt, T. (2024). Trace compounds in the urban water cycle in the Freiberg region, Germany. Frontiers in Water, 6, 1335766.

Prof.Mehdi Khashei, Pharmaceutical Analysis,Editorial Board Member 1191

Prof.Mehdi Khashei, Pharmaceutical Analysis,Editorial Board Member

Prof.Mehdi Khashei, at Isfahan University of Technology, Iran

Author Profile

 

  • Education📚:

    • Ph.D. in Industrial and Systems Engineering, Isfahan University of Technology (IUT), 2014
      • Thesis: Modeling Spaces Continuity Theory
    • M.Sc. in Industrial and Systems Engineering, Isfahan University of Technology (IUT), 2005
      • Thesis: Forecasting and Analysis of Isfahan Steel Company Productions Price in Tehran Metals Exchange using Artificial Neural Networks
    • B.Sc. in Applied Mathematics and Computer Science, University of Isfahan, 2001
  • Publications🏅:

    • Mehdi Khashei has authored numerous articles in reputable journals such as Energy Reports, Biomedical Signal Processing and Control, International Journal of Computational Intelligence Systems, and many others. His research primarily focuses on innovative methodologies like discrete deep learning-based intelligent classification, hybrid models for time series forecasting, and applications in medical decision-making and energy classification.
  • Research Focus🧪:

    • His research interests span across areas like intelligent systems, deep learning, chemometrics, medical informatics, and statistical modeling, contributing significantly to advancements in predictive analytics and decision support systems.

🎓Publication Top Noted:

Paper Title :An artificial neural network (p, d, q) model for timeseries forecasting

  • Authors   : JMehdi Khashei, Mehdi Bijari
  • Journal    : Expert Systems with applications
  • Year        : 2010
Paper Title :A novel hybridization of artificial neural networks and ARIMA models for time series forecasting
    • Authors : Mehdi Khashei, Mehdi Bijari
    • Journal   : Applied soft computing
    • Year : 2011
Paper Title :Improvement of auto-regressive integrated moving average models using fuzzy logic and artificial neural networks (ANNs)
    • Authors :Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali
    • Journal   :Neurocomputing
    • Year : 2009
Paper Title :A new hybrid artificial neural networks and fuzzy regression model for time series forecasting
    • Authors : Mehdi Khashei, Seyed Reza Hejazi, Mehdi Bijari
    • Journal   :Fuzzy sets and systems
    • Year : 2008
Paper Title :Hybrid structures in time series modeling and forecasting: A review
    • Authors : Zahra Hajirahimi, Mehdi Khashei
    • Journal   : Engineering Applications of Artificial Intelligence
    • Year : 2019