Huma Jamil
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Huma Jamil has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Amjad Hameed
Marker Assisted Breeding Group, Plant Breeding and Genetics Division, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Pakistan.
1 shared publication - Changsoo Jung
Colorado State University
1 shared publication - Ghazanfar Farooq Siddiqui
Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan
1 shared publication - Ibrahim A. Hameed
Department of Mechanical Engineering and Technology Management, Norwegian University of Life Sciences, Ås, Akershus, 1433, Norway
1 shared publication - Ibrahim Khebour
Colorado State University
1 shared publication - Jack Fitzgerald
Computer Science, Colorado State University, Fort Collins, Colorado, USA
1 shared publication
Latest Publications
- 6 June 2025
- Published by Springer Nature
- p. 265-281
Feature Contributions to Multimodal Interpretation of Common Ground
- 6 June 2025
- Published by Springer Nature
- p. 265-281
Feature Contributions to Multimodal Interpretation of Common Ground
- Open Access
- 17 April 2023
- Published by Pensoft Publishers in Emirates Journal of Food and Agriculture
- Vol. 35 (3) , 203-209
Comparative analysis of buffalo and cow milk for quality characteristics and β-N-acetyl-glucosaminidase activity in non-infected animals
In Pakistan, milk quality control standards are yet to be established. The prime objective of this study was to develop the standard reference values for the milk pH, its somatic cell count (SCC), electric conductivity (EC) and NAGase i.e., milk enzyme in the noninfected milk of local buffalo breed i.e., Nilli-Ravi also known as Black-gold of Pakistan and cows i.e., Sahiwal and other crossbred cows kept locally mostly for milch purpose. A total of 30 animals with lactation number 1-5 (in early lactation of two months) from each breed group were selected for milk samples. Samples were then tested for mastitis through Surf Field Mastitis test and microbiological culturing. Reference values were determined using negative samples. Fore-mentioned parameters were analyzed for collected Milk samples. The values for NAGase and SCC were the most eminent in the crossbred cow’s milk i.e., (56.07±2.33 U/mL) & (178645.83±2324.0/mL) respectively. EC value (5.7±0.04) was strikingly high in Sahiwal cow’s milk. Milk of Nilli-Ravi was found superior in quality, based on its lower values of SSC, EC and NAGase. Mean values of each parameter were also compared among different quarters and found to be statistically similar. In conclusion, milk of Nilli-Ravi was found superior in quality and current findings can be used to provide base line information for NAGase and other components of milk quality and udder health for above mentioned dairy types.
- 17 April 2023
- Published by Pensoft Publishers in Emirates Journal of Food and Agriculture
- Vol. 35 (3) , 203-209
Open AccessComparative analysis of buffalo and cow milk for quality characteristics and β-N-acetyl-glucosaminidase activity in non-infected animals
In Pakistan, milk quality control standards are yet to be established. The prime objective of this study was to develop the standard reference values for the milk pH, its somatic cell count (SCC), electric conductivity (EC) and NAGase i.e., milk enzyme in the noninfected milk of local buffalo breed i.e., Nilli-Ravi also known as Black-gold of Pakistan and cows i.e., Sahiwal and other crossbred cows kept locally mostly for milch purpose. A total of 30 animals with lactation number 1-5 (in early lactation of two months) from each breed group were selected for milk samples. Samples were then tested for mastitis through Surf Field Mastitis test and microbiological culturing. Reference values were determined using negative samples. Fore-mentioned parameters were analyzed for collected Milk samples. The values for NAGase and SCC were the most eminent in the crossbred cow’s milk i.e., (56.07±2.33 U/mL) & (178645.83±2324.0/mL) respectively. EC value (5.7±0.04) was strikingly high in Sahiwal cow’s milk. Milk of Nilli-Ravi was found superior in quality, based on its lower values of SSC, EC and NAGase. Mean values of each parameter were also compared among different quarters and found to be statistically similar. In conclusion, milk of Nilli-Ravi was found superior in quality and current findings can be used to provide base line information for NAGase and other components of milk quality and udder health for above mentioned dairy types.
- Open Access
- 19 May 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 9, 76518-76530
Improved Twofish Algorithm: A Digital Image Enciphering Application
With the growth of networks, the Internet of Things (IoT) and new cyber attacks pose threats to privacy and security, secure communication is therefore becoming one of the most crucial concerns. For this purpose, symmetric algorithms namel; The Rijndael algorithm, the Serpent algorithm, and the TWOFISH algorithm pay equal attention. In this paper, the TWOFISH algorithm’s mathematical complexity is improved by using substitution boxes (S-boxes) drawn from a multiplicative group of units of chain ring$\sum \nolimits _{i=0}^{7} {u^{i}F_{2}} $ . As these S-boxes have the property of having copious generators, they, therefore, produce a rich algebraic complexity. Moreover, the time complexity of the proposed work is modified by processing the 64-bit block throughout the process and reducing the number of subkeys. To measure the strength of the proposed algorithm, various standard color digital images, with a size of$256\times 256$ , are encrypted and tested. The computation speed of the encryption is compared to the standard TWOFISH algorithm’s speed and found that the newly designed algorithm is quite fast. For security analysis and quality assessment, various statistical tests are performed on the standard encrypted images. The results recommend that the proposed algorithm is a strong candidate for digital image encryption.- 19 May 2021
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 9, 76518-76530
Open AccessImproved Twofish Algorithm: A Digital Image Enciphering Application
With the growth of networks, the Internet of Things (IoT) and new cyber attacks pose threats to privacy and security, secure communication is therefore becoming one of the most crucial concerns. For this purpose, symmetric algorithms namel; The Rijndael algorithm, the Serpent algorithm, and the TWOFISH algorithm pay equal attention. In this paper, the TWOFISH algorithm’s mathematical complexity is improved by using substitution boxes (S-boxes) drawn from a multiplicative group of units of chain ring$\sum \nolimits _{i=0}^{7} {u^{i}F_{2}} $ . As these S-boxes have the property of having copious generators, they, therefore, produce a rich algebraic complexity. Moreover, the time complexity of the proposed work is modified by processing the 64-bit block throughout the process and reducing the number of subkeys. To measure the strength of the proposed algorithm, various standard color digital images, with a size of$256\times 256$ , are encrypted and tested. The computation speed of the encryption is compared to the standard TWOFISH algorithm’s speed and found that the newly designed algorithm is quite fast. For security analysis and quality assessment, various statistical tests are performed on the standard encrypted images. The results recommend that the proposed algorithm is a strong candidate for digital image encryption.