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Hire Dr. Ayesha H.
Pakistan
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Data Scientist, Machine Learning Expert, Agri-Tech Consultant
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing,
Creative Writing,
Newswriting,
General Proofreading & Editing
Work Experience
Assistant Professor
Muhammad Nawaz Shareef University of Agriculture, Multan
March 2018 - Present ![]()
Lecturer/Academic Staff Member
Waikato Institute of Technology
March 2017 - September 2018 ![]()
Research IT Specialist
University of Auckland
September 2016 - December 2016 ![]()
Assistant Professor
The Women University, Multan
June 2015 - February 2016 ![]()
Assistant Professor (IPFP)
Bahauddin Zakariya University
March 2014 - March 2015 ![]()
Education
PhD (School of Engineering and Advanced Technology (SEAT))
Massey University
April 2009 - November 2013 ![]()
Post Graduate Certificate (Computing) (School of Engineering and Advanced Technology (SEAT))
Massey University
June 2008 - March 2009 ![]()
BS (Computer Science) (Computer Science)
Bahauddin Zakariya University
January 2002 - January 2006 ![]()
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
Ayesha Hakim, Adnan A. Qazi, Muhammad Ali, Farhat Jabeen, Rehana Iqbal, Muhammad Anwar Iqbal, Muhammad Latif, Zahid Farooq, tasleem kausar, aneeqa naz, et al.(2023). Presence of selected organochlorine pesticides (OCPs) in sediments and biota of River Satluj, Pakistan: first report . Brazilian Journal of Biology. 83. {FapUNIFESP} ({SciELO})
Hafiz Muhammad Rizwan Iqbal and Ayesha Hakim(2022). Classification and Grading of Harvested Mangoes Using Convolutional Neural Network . International Journal of Fruit Science. 22. (1). p. 95--109. Informa {UK} Limited
Ayesha Hakim, Afshan Shafi, Umar Farooq, Kashif Akram, Hamid Majeed, Madhura Jayasinghe(2022). Cucumis melo seed oil: Agro‐food by‐product with natural anti‐hyperlipidemic potential . Journal of the Science of Food and Agriculture. Wiley
Ayesha Hakim, Sana Tariq, Awais Ahmad Siddiqi, Muhammad Owais(2022). An image dataset of fruitfly species (Bactrocera Zonata and Bactrocera Dorsalis) and automated species classification through object detection . Data in Brief. 43. p. 108366. Elsevier {BV}
(2022). Sensor Based Irrigation Scheduling System for Efficient Water Resource Utilization . Pakistan Journal of Social Sciences (PJSS).
Ayesha Hakim and Stephen Marsland and Hans W. Guesgen(2022). Computational representation and analysis of emotion dynamics . Multimedia Tools and Applications. Springer Science and Business Media {LLC}
Ayesha Hakim(2021). Automated birdsong clustering and interactive visualization tool . Pakistan Journal of Agricultural Sciences. 58. (04). p. 1395--1403. Pakistan Journal of Agricultural Sciences
Dr. Ayesha Hakim(2021). Automatic Monitoring of Plant Growth Process in Varying Climate Conditions using Process Mining . Academia Letters. Academia.edu
Umair, Muhammad and Hakim, Ayesha and Hussain, Aamir and Naseem, S(2021). Sentiment Analysis of Students' Feedback before and after COVID-19 Pandemic . International Journal on Emerging Technologies. p. 177-182.
Rehman, H.-U., Farooq, U., Akram, K., Hayat, Z., Shafi, A., Sarfarz, F., Sidhu, A., Hakim, A.(2021). Fatty acid profile and bio-efficacy of wheat germ oil in hyperlipidemic rabbits . Pakistan Journal of Agricultural Sciences. 58. (2). p. 621-625.
Ayesha Hakim(2020). Automatic Mosquito Surveillance and Visualisation using Acoustic Signals. Pakistan Journal of Engineering and Applied Sciences. 26.
JOURNAL ISSUE
Sentiment Extraction from Naturalistic Audio of Agricultural Expert Opinions @misc{2023, doi = {10.56979/402/2023}, url = {https://doi.org/10.56979%2F402%2F2023}, year = 2023, month = {mar}, publisher = {Research Center of Computing and Biomedical Informatics}, volume = {4}, number = {02}} . Journal of Computing & Biomedical Informatics.
CONFERENCE PAPER
Ayesha Hakim, Sundus Shafique, Irfan Ahmad Baig, Mubashir Mehdi(2022). MangoTrace: An Intelligent Supply Chain Decision Support System . 2022 International Conference on IT and Industrial Technologies (ICIT). {IEEE}
Hakim, Ayesha(2020). Improving Healthcare Systems through Process Mining . 2020 IEEE 23rd International Multitopic Conference (INMIC). p. 1-4.
Hakim, A.(2020). Improving Healthcare Systems through Process Mining . Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020.
Hakim, A., Marsland, S., Guesgen, H.W.(2013). Computational analysis of emotion dynamics . Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013. p. 185-190.
Hakim, A., Marsland, S., Guesgen, H.W.(2013). Statistical modelling of complex emotions using mixture of von mises distributions . Proceedings - 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, ACII 2013. p. 517-522.
Hakim, Ayesha, Marsland, Stephen, Guesgen, Hans W. (2013). Computational Analysis of Emotion Dynamics . International Conference on Affective Computing and Intelligent Interaction (ACII).
Hakim, Ayesha, Marsland, Stephen, Guesgen, Hans W. (2013). Statistical Modelling of Complex Emotions using Mixture of von Mises Distributions . International Conference on Affective Computing and Intelligent Interaction (ACII).
Hakim, A., Marsland, S., Guesgen, H.W.(2012). A robust joint face model for human emotion recognition . ACM International Conference Proceeding Series. p. 352-357.
Hakim, Ayesha, Marsland, Stephen, Guesgen, Hans W. (2010). A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION . International Conference on Computer Vision Theory and Applications.
Hakim, Ayesha, Marsland, Stephen, Guesgen, Hans W. (2010). A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION . International Conference on Computer Vision Theory and Applications.
Hakim, A., Marsland, S., Guesgen, H.W.(2010). A reliable hybrid technique for human face detection . VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications. 2. p. 241-244.
DATA SET
{sana sana tariq}(2022). An Image Dataset of Fruit fly Species . Mendeley
Rizwan Iqbal, Hafiz Muhammad(2021). Mango Variety and Grading Dataset . Mendeley