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Dr. Mohammed Wasid
  • DEPARTMENT_STAFF.QUALIFICATION

    Ph.D., M.Tech, B.Tech

  • DEPARTMENT_STAFF.DESIGNATION

    Supervisor

  • DEPARTMENT_STAFF.THRUST_AREA

    Web Personalization, Machine Learning, Soft Computing, Collaborative Information Filtering

  • DEPARTMENT_STAFF.ADDRESS

    Deen Mohammed Road, Behind Kadar Mill, Sikar - 332001, Rajasthan, India

  • DEPARTMENT_STAFF.MOBILE

    8955574555

  • DEPARTMENT_STAFF.EMAIL

    mohammedwasid@zhcet.ac.in

DEPARTMENT_STAFF.COMPLETE_CV

Dr. Mohammed Wasid is currently working as an Assistant Professor in the Interdisciplinary Centre for Artificial Intelligence at the Aligarh Muslim University, Aligarh, India. He received his Ph.D. degree in Computer Engineering from Zakir Hussain College of Engineering and Technology, Aligarh Muslim University, Aligarh, India. He has more than four years of teaching experience and seven years of research experience. He has published several articles in International Journals, Conferences and Book Chapters which are indexed in reputed indexing bodies like SCI, SCIE, WoS, Scopus. Dr. Wasid is also serving as an Editor for two books to be published by CRC Press (Taylor Francis Group) and Nova Publisher, USA. He has qualified national level exams in Computer Science Engineering like UGC-NET and GATE. Dr. Mohammed Wasid has been granted with four fully funded research projects by MHRD, NPIU, GoI and he has completed all of them in the capacity of Investigator and Co-investigator. His current areas of research are Web Personalization, Machine Learning, and Computational Web Intelligence.

Personal webpage: sites.google.com/view/wasid

  1. Publication

    1. Mohammed Wasid and Rashid Ali, “A Frequency Count Approach to Multi-Criteria Recommender System based on Criteria Weighting using Particle Swarm Optimization,” Applied Soft Computing (indexed in Scopus, Web of Science SCIE etc.), ISSN: 1568-4946, Elsevier, Impact Factor 6.725, 2019 Journal Citation Reports (Clarivate Analytics) Ranking: 2019: 11/112 (Computer Science) Vol. 112, Article 107782, 2021.

    2. Mohammed Wasid and Rashid Ali, “Multi-Criteria Clustering-based Recommendation using Mahalanobis distance,” International Journal of Reasoning-based Intelligent Systems (IJRIS), (indexed in Scopus, DBLP etc.) ISSN print: 1755-0556 ISSN online: 1755-0564, Inderscience Publishers, Switzerland, Volume 12, No.2 pp. 96 -105, 2020.

    3. Mohammed Wasid and Rashid Ali, “A Fuzzy Side Information Clustering-Based Framework for Effective Recommendations,” Computing and Informatics, formerly: Computers and Artificial Intelligence (indexed in Scopus, Web of Science SCIE, DBLP etc.), ISSN : 1335-9150 (print), 2585-8807 (online), Impact Factor 0.524 2019 Journal Citation Reports (Clarivate Analytics)Vol. 38,  No. 3, Slovak Academy of Sciences, Slovakia, pp. 597–620, 2019.

    4. Mohammed Wasid and Rashid Ali, “An Improved Recommender System based on multi-criteria clustering approach,” Procedia Computer Science, (indexed in Scopus, DBLP, CPCI Web of Science, etc.) ISSN:1877-0509,Volume 131,  pp. 93-101,  Elsevier2018.

    5. Mohammed Wasid and Rashid Ali, “Clustering Approach for Multidimensional Recommender Systems,” Proc. of the IEEE International Conference on Data Mining (IEEE ICDM) 6th workshop on High Dimensional Data Mining (HDM 2018), IEEE Computer Society Press, Sentosa, Singapore, November 2018.

    6. Mohammed Wasid, Rashid Ali and Vibhor Kant, “Particle Swarm Optimization based Contextual Recommender Systems,” International Journal of Swarm Intelligence, ISSN: 2049-4041, Volume 3, Issue 2-3, pp. 170–191, Inderscience Publishers, Switzerland, 2017.