Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Yugal Kumar

Dr. Yugal Kumar
Assistant Professor (SG)
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Biography :

He received his B. Tech and M. Tech degree from MDU in 2006 and 2009 respectively.  He received his Ph.D. degree from Birla Institute of Technology in 2016. His primary area of research includes meta heuristic algorithms, swarm intelligence, pattern recognition, medical data mining and machine learning. 

Author Publication Profile:
Book(s) :
  • Pardeep Kumar, Yugal Kumar , Mohammad A Tawhid (2021). Machine Learning, Big Data, and IoT for Medical Informatics. Amsterdam, Netherlands: Elsevier. [ISBN : 9780128217818] . Google Search
  • Pradeep Kumar Singh , Marcin Paprzycki, Bharat Bhargava, Jitender Kumar Chhabra, Narottam Chand Kaushal, Yugal Kumar (2019). Futuristic Trends in Network and Communication Technologies(Series 958, Vol. 1). Singapore: Springer, Singapore. [ISBN : 978-981-13-3804-5] . Google Search
Book Chapter(s) :
  • Yugal Kumar , Geeta Yadav, Pradeep Kumar Singh , Punkhari Arora (2019). A PHR-Based System for Monitoring Diabetes in Mobile Environment. In Sara Paiva, Mobile Solutions and Their Usefulness in Everyday Life (2019, pp. 129-144). Springer, Switzerland: Springer. [ISBN : 978-3-319-93490-7] . Google Search
  • Yugal Kumar , Sanjay Malik, Neeraj Dhayia, Geeta Yadav (2018). Chemical Reaction-Based Optimization Algorithm for Solving Clustering Problems. In Xiangtao Li, Ka-Chun Wong, Natural Computing for Unsupervised Learning, (pp. 147-162). Switzerland AG. : Springer Nature . [ISBN : 978-3-319-98566-4] . Google Search
  • Shalini Gambhir, Sanjay Malik, Yugal Kumar , Geeta Yadav, (2018). Early Diagnosis of Dengue Disease Patients using Decision Tree based Approach. In Thierry Edoh, Pravin Pawar, Sagar Mohammad, Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention (pp. 69-87). USA: IGI publisher. [ISBN : 9781522571315] . Google Search
Journal(s) :
Conference(s) :