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

Dr. Yugal Kumar

Dr. Yugal Kumar
Assistant Professor (SG)
(91)01792-239307
yugal.kumar@juit.ac.in
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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) :
  • Pradeep Kumar Singh, Gennady E. Veselov, Valeriy Vyatkin, Anton P. Pljonkin, Juan Manuel Dodero, Yugal Kumar (2021). Futuristic Trends in Networks and Computing Technologies-I. Springer Singapore: Springer. [ISBN : 978-981-16-1480-4] . Google Search
  • Pradeep Kumar Singh, Gennady E. Veselov, Anton P. Pljonkin, Yugal Kumar , Marcin Paprzycki, Yuri Zachinyaev (2021). Futuristic Trends in Networks and Computing Technologies-II. Springer Singapore: Springer. [ISBN : 978-981-16-1483-5] . Google Search
  • 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, Sanjay Sood, Yugal Kumar , Marcin Paprzycki , Anton Pljonkin, Wei-Chiang Hong (2020). Futuristic Trends in Networks and Computing Technologies. Springer Singapore: Springer. [ISBN : 978-981-15-4450-7] . 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
  • Pradeep Kumar Singh, Yugal Kumar , Satya Prakash Ghrera (2018). Proceeding of Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC-2018), 2018. USA: IEEE. [ISBN : 9781728106465] . Google Search
Book Chapter(s) :
  • Dipesh Kumar, Nirupama Mandal, Yugal Kumar (2021). A novel approach for securing e-health application in a cloud environment. In Pardeep Kumar, Yugal Kumar, Mohamed A Tawhid, Machine Learning, Big Data, and IoT for Medical Informatics (pp. 349). : Elsevier. [ISBN : 9780128217771] . Google Search
  • Hakam Singh, Yugal Kumar (2020). Hybrid Big Bang-Big Crunch Algorithm for Cluster Analysis. In Pradeep Kumar Singh, Sanjay Sood, Yugal Kumar, Marcin Paprzycki, Anton Pljonkin, Wei-Chiang Hong, Futuristic Trends in Networks and Computing Technologies (pp. 648-661). Singapore: Springer. [ISBN : 978-981-15-4450-7] . Google Search
  • Anand Kumar Srivastava, Pradeep Kumar Singh, Yugal Kumar (2019). A Taxonomy on Machine Learning Based Techniques to Identify the Heart Disease. In Prateek M., Sharma D., Tiwari R., Sharma R., Kumar K., Kumar N., Next Generation Computing Technologies on Computational Intelligence (pp. 13-25). Singapore: Springer. [ISBN : 978-981-15-1717-4] . Google Search
  • 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
  • Farkhana Muchtar, Abdul Hanan Abdullah, Siti Nor Zawani Ahmmad, Yugal Kumar (2018). Mobility in MANET Using Robot: A Review. In Singh P., Paprzycki M., Bhargava B., Chhabra J., Kaushal N., Kumar Y., Futuristic Trends in Network and Communication Technologies (pp. 304-324). Singapore: Springer. [ISBN : 978-981-13-3803-8] . 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) :