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IILM Greater Noida
  • ABOUT
    • About IILM
    • Vision & Mission
    • Leadership
      • Chancellor
      • Maj. Gen. B. D. Wadhwa (Retd.) AVSM
      • Vice Chancellor
      • Pro Vice-Chancellor
      • Chief Operating Officer
      • Registrar
      • Controller of Examination
      • Chief Finance Officer
      • Chief Vigilance Officer
      • Ombudsperson
    • Committee
      • Sponsoring Body
      • Governing Body
      • Executive Council
      • Academic Council
      • Board of Studies
      • Finance Committee
      • Research Committee
      • Admission Committee
      • Examination Committee
      • Anti-Ragging Committee
      • Disciplinary Committee
      • Hostel and Dinning Committee
      • Internal Complaint Committee
      • Legal AID Committee
      • Library Advisory Committee
      • Student Grievance RederssalCommittee
    • Recognition
    • Institutional Development Plan
    • Annual Report
      • 2024-2025
      • 2023-2024
    • Organogram
    • Policies/SoP
      • Faculty Handbook
      • Research Policy
      • Examination Manual
      • e-Governance Policy
      • Promotion Policy and Passing Criteria
      • Campus Safety and Security Policy
      • IT Policy
      • Mentoring Policy
      • Admission Policy
      • UGC Fee Refund Policy
      • IPR Policy
      • Anti Ragging Policy
      • Swayam Mooc Policy
      • Differently Abled
      • Anti Sexual Harassment Policy
      • Grievance Redressal Policy
      • E-Waste Management Policy
      • Credit Transfer Policy
      • Waste Management Policy
      • Placement Policy
      • SoP_MoU Signing
      • SoP_Organising Event University
      • Green policy
      • SOP_Professional Development Activities
    • Faculty
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    • School of Computer Science and Engineering
    • School of Engineering
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  • Programmes
    • Undergraduate Programme
      • BBA Hons
      • BCA Hons
      • BBA in Hospitality and Services Management
      • B Tech in CSE with IBM
      • B Tech in CSE with SKLZ TECT LLP
      • BCA with SKLZ TECT LLP
      • B Tech in Bioinformatics
      • B Tech in Civil Engineering
      • B. Tech in Electrical and Computer Engineering
      • B. Tech in Electronics and Communication Engineering
      • B Tech in Mechanical Engineering
      • B. Tech in Biotechnology
      • B. Tech in Semiconductor Technology
      • B. Tech Food Technology
      • B. Tech in Robotics & Artificial Intelligence AI
      • B Tech in Ece with L&T
      • BA LLB Hons
      • BA (Hons) Economics, English, Political Science, History
      • BBA LLB (Hons)
      • BA (Hons) Journalism and Mass Communication
      • BSc (Hons) Psychology
      • BA (Hons) Psychology
      • BSc (Hons) in Forensic Science
      • BSc Industrial Chemistry
      • BSc Mathematics with Financial Analytics
    • Postgraduate Programme
      • Masters of Business Administration
      • MBA for Working Professionals
      • MBA in Management Technology Stem MBA
      • MCA
      • M. Tech
      • M. Tech in Bioinformatics
      • M. Tech in Mechanical Engineering
      • M. Tech in Semiconductor Technology
      • LLB (Three years)
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Mr. Prakash Pal

Associate Professor

Mr. Prakash Pal is an assistant professor at IILM University, Greater Noida. His academic and research interests lie at the intersection of data science, graphical models, graph machine learning, and graph coarsening. He focuses on developing scalable algorithms and analytical tools that enhance the understanding of complex datasets and their applications.

He earned his Master of Technology (M.Tech.) in Computer Technology from the Indian Institute of Technology, Delhi, where his thesis explored entropy-regularised graph coarsening for scalable graph machine learning. He also holds a Master of Computer Applications (MCA) from Jawaharlal Nehru University, New Delhi, and a bachelor’s degree in Mathematics from Katwa College, University of Burdwan.

Mr. Pal has worked on diverse projects ranging from hybrid rainfall prediction models combining Hindu mythology with machine learning, operating system design in xv6 (MIT-DOS), and camera calibration, to advanced deep learning architectures such as CNNs, ResNets, and GANs. His research also extends to cryptographic algorithms and social network analysis.

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