DEPARTMENT.FACULTY

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Dr. Mohammad Sajid
  • DEPARTMENT_STAFF.QUALIFICATION

    Ph.D. (JNU), M. Tech. (JNU), MCA (JNU)

  • DEPARTMENT_STAFF.DESIGNATION

    Assistant Professor

  • DEPARTMENT_STAFF.THRUST_AREA

    Evolutionary Computation, Swarm Intelligence, Cloud Computing, Scheduling, Routing

  • DEPARTMENT_STAFF.ADDRESS

    Department of Computer Science, Aligarh Muslim University, Aligarh-202002, India

  • DEPARTMENT_STAFF.MOBILE

    9634622950

  • DEPARTMENT_STAFF.EMAIL

    msajid.cs@amu.ac.in, sajid.cst@gmail.com

  • DEPARTMENT_STAFF.TIME_TABLE

    Time Table 2021-22

DEPARTMENT_STAFF.COMPLETE_CV

Dr. Mohammad Sajid is an assistant professor in the Department of Computer Science at Aligarh Muslim University, India. He has completed a Ph.D., M. Tech. and M.C.A. degree from the School of Computer and Systems Sciences, Jawaharlal Nehru University (JNU), New Delhi. His research interests include Evolutionary and swarm Intelligence Algorithms, Machine Learning, Combinatorial Optimization problems, Cloud Computing, Applications of Scheduling and Routing, and Intelligent Transportation Systems. He has published many research papers in international conferences and journals of repute (including IEEE, ACM, Elsevier, Springer, Wiley, Taylor & Francis, IGI Global, InderScience, etc.). He is a Reviewer of several referred international journals of repute (including ACM, IEEE, Taylor and Francis, Elsevier, Springer, Wiley, etc.)

  1. Publication (Journal/Conference)

    1. M. Sajid, J. Singh, R.A. Haidri, M. Prasad, K. Kotecha, V. Vijayakumar, D. Garg, “A Novel algorithm for Capacitated Vehicle Routing Problem for Smart Cities”, Symmetry, Vol. 13(10), 1923, 2021. (SCIE IF 2.713).
    2. R. A. Haidri, M Alam, M. Shahid, S. Prakash, M. Sajid, “A Deadline Aware Load Balancing Strategy for Cloud Computing”, Concurrency and Computation: Practice and Experience (Wiley), 2021. (SCIE IF 1.447).
    3. S. Sharma, M. Sajid, “Integrated Fog and Cloud Computing: Issues and Challenges”, International Journal of Cloud Applications and Computing (IGI), Vol. 11(4), Article 10, 2021.
    4. J. Singh, M. Sajid,” Factorization Machine Based Music Recommendation Approach”, 6th International Conference on Inventive Computation Technologies (ICICT) 2021, RVS Technical Campus, Coimbatore.
    5. M. Sajid, A. Zafar, S. Sharma, “Hybrid Genetic and Simulated Annealing Algorithm for Capacitated Vehicle Routing Problem”, 2020 6th IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC), JUIT Solan.
    6. M. Sajid, Z. Raza, “Energy-efficient quantum-inspired stochastic Q-HypE algorithm for batch-of-stochastic-tasks on heterogeneous DVFS-enabled processors”, Concurrency and Computation: Practice and Experience (Wiley), Vol. 31(20), e5327, 2019. (SCIE IF 1.447). 
    7. M. Sajid, M. Usaid, “A tutorial on Genetic Algorithm based Scheduling of bag-of-tasks on Heterogeneous Computing System”, An International Journal of Engineering Science, Special, Vol. 31, ISSN: 2229-6913, 2019 (Conference paper published in Journal)
    8. M. Sajid, Z. Raza, M. Shahid, “Hybrid Bio-inspired Scheduling Algorithms for Batch of Tasks (BoT) Applications on Heterogeneous Computing System”, International Journal of Bio-inspired Computation, Vol. 11 (3), pp. 135-148, 2018 (SCIE IF 1.914).
    9. M. Sajid, Z. Raza, “Energy-Aware Stochastic Scheduler for Batch of Precedence-constrained Jobs on Heterogeneous Computing System”, Energy (Elsevier), Vol. 125, pp. 258-274, 2017 (SCI IF 6.082).
    10. M. Sajid, Z. Raza, “Energy-aware Stochastic Scheduling Model with Precedence-constraints on DVFS-enabled Processors”, Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 24(5), pp. 4117-4128, 2016. (ISSN No. 1300-0632, SCIE IF 0.682).
    11. M. Sajid, Z. Raza, “Turnaround Time Minimization-Based Static Scheduling Model Using Task Duplication for Fine-Grained Parallel Applications onto Hybrid Cloud Environment”, IETE-Journal of Research (Taylor and Francis), Vol. 62(3), pp. 402-414, 2016. (ISSN No - 0377-2063, SCIE IF 1.125).
    12. M. Sajid, Z. Raza, M. Shahid, “Energy-Efficient Scheduling Algorithms for Batch-of-Tasks (BoT) Applications on Heterogeneous Computing Systems”, Concurrency and Computation: Practice and Experience (Wiley), Vol. 28(9), pp. 2664-2669, 2015. (SCIE IF 1.447).
    13. M. Shahid, Z. Raza, M. Sajid, “Level based batch scheduling strategy with idle slot reduction under DAG constraints for computational grid”, Journal of Systems & Software (Elsevier), Vol. 108, pp. 110-133, 2015. (ISSN No. 0164-1212, SCIE IF-2.450)
    14. M. Sajid, Z. Raza, “An Analytical Model for Resource Characterization and Parameter Estimation for DAG-Based Jobs for Homogeneous Systems”, International Journal of Distributed Systems and Technologies (IGI-Global), Vol. 6(1), pp. 34-52, 2015. (ISSN Number-1947-3532, Scopus Indexed, H-index- 5).
    15. RM Rawat, TK Gupta, M. Sajid et al., “An Improved Fuzzy Voting Scheme for Fault-Tolerant Systems”, International Journal of Applied Evolutionary Computation (IGI-Global), Vol. 6(2), pp. 41-49, 2015. (ISSN No. 1942-3594, DBLP Indexed). 
    16. M. Sajid, F. Raza, Z. Raza, “Life Sciences, Parallel Computing Paradigm & Evolutionary Algorithms: A Perfect Match”, All India Seminar on Recent Advances in Biotechnology and Human Health Care, March 29-30, The Institution of Engineers (India) Madhya Pradesh State Center, Bhopal, INDIA & Maulana Azad National Institute of Technology, Bhopal, INDIA, 2014.
    17. M. Sajid, Z. Raza, “Cloud Computing: Issues & Challenges”, International Conference on Cloud, Big Data and Trust (ICCBDT) 2013, Nov 13-15, RGPV, pp. 35-41, 2013.
    18. M. Sajid, Z. Raza, “Level Based Task Duplication Strategy to Minimize the Job Turnaround Time”, 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC), JUIT Solan, pp. 164-169, Print ISBN No. - 978-1-4673-2922-4.

LISTDownloadUPLOADED DATE
Python_Lec_1
20/02/2020
Python_Lec_2
20/02/2020
TOC_Lecture_1
03/03/2020
TOC_Lecture_2
03/03/2020
Python_Lec_3
05/03/2020
TOC_Lecture_3
12/03/2020
TOC_Unit_II_Lecture_1
24/03/2020
TOC_Unit_II_Lecture_2
24/03/2020
Python_Lec_4
26/03/2020
Python_Lec_5
26/03/2020
Python_UNIT_3_Lec_1
07/04/2020
Python_UNIT_3_Lec_2
07/04/2020
Python_UNIT_3_Lec_3
07/04/2020
TOC_Unit_III_Lecture_1
08/04/2020
TOC_Unit_III_Lecture_2
08/04/2020
TOC_Unit_III_Lecture_3
08/04/2020
TOC_Unit_I_Assignment
11/04/2020
Python_Unit_I_Assignment
11/04/2020
TOC_Unit_IV_Lecture_1
13/04/2020
TOC_Unit_IV_Lecture_2
13/04/2020
Python_UNIT_4_Lec_1
13/04/2020
Python_UNIT_4_Lec_2
13/04/2020
Python_UNIT_4_Lec_3
13/04/2020
TOC_Unit_II_Assignment
17/04/2020
Python_Unit_II_Assignment
18/04/2020
Python_Assignment_III
28/04/2020
TOC_Assignment_III
28/04/2020
Computer Architecture Lecture 1
05/08/2020
Parallel Computing Lecture 1
07/08/2020
Computer Architecture Lecture 2
08/08/2020
Computer Architecture Lecture 3
10/08/2020
Computer Architecture Lecture 4
17/08/2020
Parallel Computing Lecture 2
17/08/2020
Computer Architecture Lecture 5
21/08/2020
Parallel Computing Lecture 3
21/08/2020
Computer Architecture Lecture 6
24/08/2020
Parallel Computing Lecture 4
25/08/2020
Parallel Computing Lecture 5
27/08/2020
Parallel Computing Lecture 6
28/08/2020
Computer Architecture Lecture 7
09/09/2020
Computer Architecture Lecture 8
09/09/2020
Parallel Computing Lecture 7
10/09/2020
Parallel Computing Lecture 8
12/09/2020
Computer Architecture Lecture 9
14/09/2020
Parallel Computing Lecture 9
14/09/2020
Parallel Computing Lecture 10
15/09/2020
Computer Architecture Lecture 10
16/09/2020
Parallel Computing Unit II Lecture 1
17/09/2020