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:2025-01-05
:2481
Anjan Kumar Tula 博士
副教授 | 硕士生导师
工业智能与系统工程研究所副教授
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  • 浙江大学玉泉校区工控老楼405
    • Process synthesis, Control and Intensification

Education:

  • 2003-2007 B.S. in Chemical Engineering, JNTU, India

  • 2008-2010 M.S. in Chemical Engineering, Lamar University, USA

  • 2013-2016 Ph.D. in Chemical Engineering, Technical University of Denmark, Denmark

Professional Experience:

Associate Professor, Zhejiang University, China
Jul 2019 – Present

  • Delivered advanced courses in the College of Control Science and Engineering.

  • Led research in applying data analytics to chemical industries.

  • Focused on machine learning applications in property predictions and software development for integrated product-process design.

Crew Chief, Veolia, USA
Jan 2022 – 2024

  • Led a team in developing data analytics tools for chemical assets.

  • Optimized real-time performance data and forecasted system-level events to enhance operational efficiency.

Post-Doctoral Researcher, Auburn University, USA
Apr 2017 – May 2019

  • Developed computer-aided methods for designing sustainable  chemical processes.

  • Focused on hybrid/intensified equipment and process analytics for systematic improvements.

Doctoral Researcher, DTU, Denmark
Jun 2013 – Dec 2016

  • Engineered systematic methods for sustainable chemical process design.

  • Worked on bioethanol production and complex distillation systems for pharmaceuticals.

R&D Engineer, General Electric, India
Jun 2010 – Jun 2013

  • Developed process models for industrial water treatment.

  • Synthesized cost-optimized flow sheets and created design tools for electrodialysis reversal (EDR) systems.

Awards & Honors:

  • Recognized with Wiley’s “TOP DOWNLOADED PAPER 2018-2019” in AIChE Journal:

    • Computer-aided process intensification: Challenges, trends, and opportunities, AIChE J.66, e16819, 2019.

  • Nominated twice for Session’s Best Paper at the 2016 AIChE Annual Meeting:

    • Process Design-1 session: Tailor-Made Solvent and Process Design for the Separation of Azeotropic Mixtures.

    • Process Intensification session: Multi-Scale Computer-Aided Synthesis–Design–Intensification Method for Sustainable Hybrid Solutions.

  • Recipient of Otto Mønsted Fonden Travel Grant (2014 & 2015).

  • Recipient of Marie Curie Fellowships for Early Stage Researcher Training (2013-2016).

  • Management Award from GE Water & Process Tech for outstanding work in Process Modeling of Cooling Tower Makeup Treatment      (2012).

  • Young Engineer Award from GE Energy (2012).

  • Management Award from GE Water & Process Tech for outstanding work in Process Modeling of BF treatment (2011).

  • Programming Committee Member for PSE 2021.

  • Reviewer for ESCAPE 2020.

  • Editor for the special issue “Learning for Process Optimization and Control” under Processes.

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