Shajulin Benedict

About

SHAJULIN BENEDICT graduated in 2001 from Manonmaniam Sunderanar University, India, with Distinction. In 2004, he received M.E Degree in Digital Communication and Computer Networking from A.K.C.E, Anna University, Chennai. He is the University second rank holder for his masters. He did his Ph.D degree in the area of Grid scheduling under Anna University, Chennai (Supervisor - Dr. V. Vasudevan, Director, Software Technologies Group of TIFAC Core in Network Engineering). After his Ph.D award, he joined a research team in Germany to pursue PostDoctorate under the guidance of Prof. Gerndt. He served as Professor at SXCCE Research Centre of Anna University-Chennai. Later, he visited TUM Germany for teaching Cloud Computing as Guest Professor of TUM-Germany. Currently, he teaches Internet of Things at the Technical University Munich, Germany; he is affiliated to TUM Germany and the the Indian Institute of Information Technology Kottayam, Kerala, India, an institute of national importance of India. He serves as Director/PI/Representative Officer of AIC-IIITKottayam (Sec.8 Company) for nourishing young entrepreneurs of India. His research interests include IoT Cloud, Performance Analysis of IoT Applications, Cloud Scheduling, Edge Analytics, and so forth.

Employment

• Technical University of Munich Associate Professor
  2022 - 2022
• Indian Institute of Information Technology Kottayam Faculty
  2017 - Present
• Technische Universität München Guest Professor
  2016 - 2017
• Technische Universitat Muenchen, Germany PostDoctoral Scientist
  2009 - 2011
• HPCCLoud Research Laboratory, SXCCE
  2008 - 2017

Education

• Technische Universitaet Muenchen Post Doctorate
  2009 - 2011
• Anna University Ph.D - Grid Scheduling
  2004 - 2008
• Anna University Master of Engineering
  2002 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (76)

• BHFR: Blockchain-Based Human-in-the-Loop Facial Recognition System Using Edge-Enabled IoT for Ethical Decisions
  2026 DOI: 10.1007/978-3-032-13177-5_12
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• Energy-Aware Duty Cycle Management for Solar-Powered IoT Devices
  Sensors 2025 DOI: 10.3390/s25144500
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• In-store Product Placement Using LiDAR-Assisted Discrete PSO Algorithm
  2023 DOI: 10.1007/978-3-031-43838-7_6
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• Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog
  IEEE Transactions on Parallel and Distributed Systems 2023 DOI: 10.1109/TPDS.2023.3262695
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• AdaptPSOFL: Adaptive Particle Swarm Optimization-Based Layer Offloading Framework for Federated Learning
  2023 DOI: 10.1007/978-981-99-7093-3_40
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• Shared Mobility Intelligence Using Permissioned Blockchains for Smart Cities
  New Generation Computing 2022 DOI: 10.1007/s00354-021-00147-x
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• EA-POT: An Explainable AI Assisted Blockchain Framework for HoneyPot IP Predictions
  Acta Cybernetica 2022 DOI: 10.14232/actacyb.293319
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• APM Bots: An Automated Presentation Maker for Tourists/Corporates Using NLP-Assisted Web Scraping Technique
  2022 DOI: 10.1007/978-3-030-96040-7_49
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• FML Framework: Function-Triggered ML-as-a-Service for IoT Cloud Applications
  2022 DOI: 10.1007/978-981-19-1018-0_7
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• TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3144078
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