Research output per year
Research output per year
Personal profile
Biography
Dr Mohammad Farhan Khan joined the University of Roehampton London as a Lecturer in Data Science in 2022. Dr Khan completed his PhD in Electronic Engineering in 2017 from the University of Kent and proceeded to obtain approximately 4.5 years of postdoctoral experience from prestigious institutes. Dr Khan is a recipient of several awards, such as the UKC 50th-anniversary scholarship, Richard Collier scholarship, EPSRC fellowship, Innovate-UK fellowship and more. Dr Khan has secured several external fundings as Co-I and also acted as a guest editor of the MDPI Sustainability journal (SCIE). The research interests of Dr Khan lie in data analytics, applied AI, mathematical modelling, soft computing, image processing, applied control theory, and computational biology.
Contact: Email
Education/Academic qualification
Electronics Engineering, BTech, Aligarh Muslim University
Electronics Engineering, MTech, Aligarh Muslim University
Electronic Engineering, PhD, University of Kent
External positions
Innovate UK Research Fellow, Cranfield University
2021 → 2022
MHRD Fellow, Indian Institute of Technology Roorkee
2019 → 2021
EPSRC Research Associate, University of Central Lancashire
2017 → 2018
Sessional Demonstrator, University of Kent
2016 → 2017
Graduate Teaching Assistant, University of Kent
2013 → 2016
-
Delineating Mastitis Cases in Dairy Cows: Development of an IoT-Enabled Intelligent Decision Support System for Dairy Farms
Khan, M. F., Thorup, V. M. & Luo, Z., 18 Apr 2024, In: IEEE Transactions on Industrial Informatics. 20, 7, p. 9508-9517 10 p.Research output: Contribution to journal › Article › peer-review
-
Feed Forward Cascaded Neural Network Enhanced Stochastic Predictive Model Control for Microgrid Energy Management
Ajayi, A., Luk, P., Lao, L., Khan, M. F. & Luo, Z., 2 Feb 2024, IEEE International Conference on Energy Technologies for Future Grids (ETFG).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Machine Learning-Based Blind Image Quality Assessment: A Review
Tausif, M., Khan, M. F., Ansari, M. S., Khan, E. & Ghanbari, M., 3 Jan 2024, Proceedings of Data Analytics and Management.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
-
Machine Learning-Based Restoration Forecast with Predictive Power Outage for Diverse Power Outage Scenarios
Adedokun, S. O., Khan, M. F., Luk, P. & Luo, Z., 2 Feb 2024, IEEE International Conference on Energy Technologies for Future Grids (ETFG).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Overcoming the barrier of emotion in interlingual transcription: A case study of Malayalam to English transcription using convolutional neural networks
John, S., Vahid, A. K. A., Nair, L. R., Khan, M. F. & Saeed, F., 30 Sept 2024, IEEE 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Activities
-
Applied Economic Appraisal
Khan, M. F. (Speaker)
16 Jun 2023Activity: Talk or presentation for an academic audience › Oral presentation for an academic audience
-
Supervision: Planning Student Projects and Effective use of Supervision Meetings
Khan, M. F. (Participant)
8 Nov 2023Activity: Public engagement and outreach › Workshop and other training
-
Supervised Machine Learning
Khan, M. F. (Speaker)
28 Aug 2023Activity: Talk or presentation for an academic audience › Oral presentation for an academic audience
-
Sustainability (Journal)
Hossain, M. M. (Guest editor) & Khan, M. F. (Guest editor)
8 Jan 2020 → 31 Dec 2021Activity: Publication peer-review and editorial work › Editorial Activity