Research

Research Network

Dr. Gautam Srivastava

Research Faculty

Dr. Gautam Srivastava was awarded his B.Sc. degree from Briar Cliff University in U.S.A. in the year 2004, followed by his M.Sc. and Ph.D. degrees from the University of Victoria in Victoria, British Columbia, Canada in the years 2006 and 2012, respectively. He then taught for 3 years at the University of Victoria in the Department of Computer Science, where he was regarded as one of the top undergraduate professors in the Computer Science Course Instruction at the University. From there in the year 2014, he joined a tenure-track position at Brandon University in Brandon, Manitoba, Canada, where he currently is active in various professional and scholarly activities. He was promoted to Professor in January 2023. Dr. G, as he is popularly known, is active in research in the field of Data Mining and Big Data. In his 10-year academic career, he has published a total of 400 papers in high-impact conferences in many countries and in high-status journals (SCI, SCIE) and has also delivered invited guest lectures on Big Data, Cloud Computing, Internet of Things, and Cryptography at many international universities. He is an Editor of several international scientific research journals. He currently has active research projects with other academics in Taiwan, Singapore, Canada, Czech Republic, Poland and U.S.A. He is constantly looking for collaboration opportunities with foreign professors and students. He is an Associate Editor in IEEE IoT Journal, IEEE TCSS, IEEE TII, and IEEE Sensors Journal.

Selected Publications:

  1. M. Shoaib Malik, Sara Jawad, Syed Atif Moqurrab, and Gautam Srivastava. 2024. DeepMedFeature: An Accurate Feature Extraction and Drug-Drug Interaction Model for Clinical Text in Medical Informatics. ACM Trans. Asian Low-Resour. Lang. Inf. Process. Just Accepted (March 2024). https://doi.org/10.1145/3651159
  2. Naeem, H., Ullah, F., & Srivastava, G. (2024). Classification of intrusion cyber-attacks in smart power grids usingdeep ensemble learning with metaheuristic-based optimization. Expert Systems, e13556.https://doi.org/10.1111/exsy.13556
  3. Jia-Hao Syu, Jerry Chun-Wei Lin, and Gautam Srivastava. 2024. Distributed Learning Mechanisms for Anomaly Detection in Privacy-Aware Energy Grid Management Systems. ACM Trans. Sen. Netw. January 2024. https://doi.org/10.1145/3640341
  4. Mohamad Abou Houran, Maimoona Asad, Gautam Srivastava, Jawad Mirza, Ali Ranjha, Muhammad Awais Javed, and Xu Yang, Intelligent Reflecting Surfaces Assisted Cellular V2X based Open RAN Communications, in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3356977
  5. Sugandha Rathi, Renuka Nagpal, Gautam Srivastava, Deepti Mehrotra, A multi-objective fitness dependant optimizer for workflow scheduling, Applied Soft Computing, 2024, 111247, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2024.111247.

 

Academic Profiles: https://scholar.google.com/citations?user=qk9hEQoAAAAJ&hl=en