Dr. Sudhakar Kumar

About

Dr. Sudhakar Kumar is a Senior Member of the Association for Computing Machinery (ACM) and the IEEE Computer Society. He is presently serving as an Assistant Professor in the Department of Computer Science and Engineering at Chandigarh College of Engineering and Technology, Sector 26, Chandigarh, functioning under the Chandigarh Union Territory Administration.

He obtained his Doctor of Philosophy (Ph.D.) in the field of high-performance computing (HPC) with a focus on algorithmic design and compiler optimization from Panjab University, Chandigarh, India. He completed his Master of Technology (M.Tech.) at the Indian Institute of Technology (IIT) Guwahati, India. His scholarly interests encompass high-performance computing, compiler optimization, machine learning (ML), artificial intelligence (AI), and human-computer interaction (HCI).

Dr. Kumar has an extensive record of academic contributions, comprising more than one hundred forty research publications in reputed international and national journals, conferences, and book chapters. In addition, he holds four design patents.

Employment

• Chandigarh College of Engineering and Technology Assistant Professor
  2016 - Present
• Sikkim Manipal Institute of Technology Assistant Professor
  2015 - 2016

Education

• Indian Institute of Technology Guwahati Master of Technology(M.Tech.)
  2011 - 2013
• Kalyani Government Engineering College Bachelor of Technology(B.Tech.)
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (164)

• AI-Based Identification of Drug Use and Overdose Signals on Social Media
  International Journal of Intelligent Information Technologies 2026 DOI: 10.4018/IJIIT.416661
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• A Novel Approach for Evaluating Spatial-Temporal Synergy in Hybrid CNN-RNN and Vision Transformer Architectures
  International Journal of Intelligent Information Technologies 2026 DOI: 10.4018/IJIIT.411189
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• AI and Blockchain for Secure Semiconductor Supply Chain Transparency
  2026 DOI: 10.4018/979-8-3373-8187-9.ch009
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• On-Chip Intelligence for Real-Time Threat Monitoring
  2026 DOI: 10.4018/979-8-3373-8187-9.ch004
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• Approaches for misuse and anomaly detection in IoT ecosystems
  2026 DOI: 10.1016/B978-0-44-333759-8.00014-9
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• Improving predictive reliability and automation of smart grids using the StarNet ensemble model
  Scientific Reports 2026 DOI: 10.1038/S41598-025-31479-Z
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• IoT-Based Smart Agriculture and Crop Recommendation Using ML
  Lecture Notes in Electrical Engineering 2026 DOI: 10.1007/978-981-95-1802-9_6
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• Microservice architecture for securing distributed IoT
  2026 DOI: 10.1016/B978-0-44-333759-8.00019-8
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• Optimizing Reasoning Engines Using TF-IDF Vectorization Approach for Enhanced Toxicity Classification
  2026 DOI: 10.1007/978-981-96-6294-4_10
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• Performance Evaluation of Edge and Cloud Technologies for Sentiment Analysis with IMDB Data
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-4933-4_23
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