Wydział Zarządzania

dr Pratik Mullick

Email: pratik.mullick@pwr.edu.pl

Jednostka: Wydział Zarządzania » Katedra Badań Operacyjnych i Inteligencji Biznesowej

Assistant Professor of Management Sciences

ul. I. Łukasiewicza 3/5, 50-371 Wroclaw building B-4, room 5.24

Courses: https://web.usos.pwr.edu.pl/kontroler.php?_action=katalog2/osoby/pokazOsobe&os_id=1770

Fall Semester Courses:

  • Mathematical Economics (Organizational Management - 3rd Semester; Lecture + Tutorial)
  • Programming Applications (Organizational Management - 3rd Semester; Lab)
  • Information Technology (Organizational Management - 1st Semester; Lab)

Courses in Spring Semester:

  • Physics of Complex Systems (Business Intelligence - 1st Semester; Lecture + Lab)
  • BI Workplace (Business Intelligence - 1st Semester; Projects)
  • Descriptive Statistics (Organizational Management - 2nd Semester; Lecture + Tutorial)
  • Introduction to Risk Management (Organizational Management - 6th Semester; Lecture + Tutorial)

Consultation hours for students:

  • Tuesdays 11h - 13h (in my office)
  • Please write an email to fix an appointment
  • I would also be happy to be contacted immediately after the lecture.

Short Bio

  • Computational Physicist with 8+ years of working experience with data and algorithms in various programming platforms
  • University degrees in Physics, PhD in Statistical Physics, postdoc experiences in Machine learning in Computational Biophysics and Pedestrian Dynamics in the context of Crowd Simulation
  • Affinity towards writing algorithms and learning new languages.

Experiences

  • Postdoctoral Researcher,  Institut national de recherche en sciences et technologies du numérique -Rennes, Bretagne, France (2020 - 2022)
  • Postdoctoral Researcher,  Dipartimento di Fisica e Astronomia 'Galileo Galilei' , University of Padova, Veneto, Italy (2019 - 2020)
  • Doctoral Researcher, Department of Physics, University of Calcutta, West Bengal, India (2014 - 2019)

Research Interests

  • Statistical Physics, Critical Phenomena, Phase Transition, Binary Spin Models, Reaction Diffusion mechanism, Complex Network
  • Computational Biophysics, Protein Phase Separation, Predictive algorithms using Machine Learning
  • Pedestrian Dynamics, Crowd simulation, Crowd Management

NCN Project

Title: Crowd management in urban spaces: Developing a unified framework for simulating realistic human movement trajectories. Funded under SONATA scheme (2023 - 2026). Amount: PLN 366,080.

Publications

Please see my Google Scholar profile

Honors and Awards

  • INSPIRE Scholarship, DST, Govt. of India (2009 - 2014)
  • Gold Medal in National Graduate Level Physics Examination, India (2012)
  • INSPIRE Fellowship, DST, Govt. of India (2014 - 2019)
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