Rahman Ali

Dr. Rahman Ali

Assistant Professor

Department of Computer Science | University of Peshawar

rehmanali@uop.edu.pk
Download CV
Core Research Areas
AIMachine & Deep Learning (ML/DL)Agentic & GenAIRAGData ScienceData AnalyticsAutoMLMeta-learningReasoning & InferenceIntelligent Decison Support SystemRecommendation SystemDigital Health
RAHMAN ALI (PHD)
PhD in Computer Engineering (AI/ML), Kyung Hee University, S. Korea (2016),
M.Phil in Artificial Intelligence (Univ of Peshawar, 2009) &
MSc. Computer Science (Hazara Univ., 2005)
Assistant Professor (PG),
Department of Computer Science, University of Peshawar
Teaching & Research Interests:
AI, Machine & Deep Learning (ML/DL), Agentic & GenAI, Data Science, Data Analytics, Core Computer Science, AutoML, Meta-learning, Reasoning & Inference, Intelligent Decison Support System, Recommendation System, Digital Health  
📧 Email: rehmanali@uop.edu.pk | rahmanac1@gmail.com 📞 Phone: +92 346 9623386
🔗 Profiles:
LinkedIn|Google Scholar |Publications: 39 | Citations: 2546; H-index: 28 |
Web of Science (WoS ID: ADR-1711-2022) | Citations: 1136; H-index: 18 |
Scopus (Scopus ID: 24775152600) |
ORCID (ORCID ID: 0000-0002-9171-8573)
 
PROFILE (TEACHING & RESEARCH)
Senior academic and researcher (currently serving as Asst Professor in AI & Data Science at Woosong University, Kazakhstan) with 18+ years of experience in university teaching, research, and academic leadership across AI, ML/DL, DS, and core CS. PhD (Best Thesis Award, Kyung Hee University) with 39 peer-reviewed journal articles (16 Q1; IF 135+), 29 international conference papers, a Korean patent, and 2,546+ citations (h-index 28, i10-index 42). Led 10+ funded research projects (USD 156K+) and supervised PhD and graduate research in healthcare, education, NLP, and decision support systems, with a strong record of interdisciplinary collaboration.
Highly effective educator (95.4% student evaluation score) specializing in AI/ML, ANN, Data Analytics, and DS, with extensive experience in curriculum design, outcome-based education (OBE), and program coordination. Demonstrated academic leadership through roles including Director of Distance Education (institutional LMS development), Program Coordinator (BS Business Intelligence & Analytics), and service on GSC, BoF, and ASRB, enabling effective contribution to both research-intensive and teaching-focused higher education environments.
Academic Qualifications
PhD – Computer Science (AI/ML)
Institution: Kyung Hee University, South Korea
Date: Aug 17, 2016
Highlight: Best PhD Thesis Award – Accurate Classifier Selection Methodology Using Multi-Criteria Decision Making and Meta-Learning

MPhil – Artificial Intelligence
Institution: University of Peshawar, Pakistan
Date: May 28, 2009
Research: Pronominal Anaphora Resolution in Pashto Discourse (Natural Language Processing)

MSc – Computer Science
Institution: Hazara University, Pakistan
Date: Feb 2005
Highlight: Silver Medal

BSc – Computer Science
Institution: University of Peshawar, Pakistan
Date: Sept 14, 2002

Higher Secondary School Certificate (HSSC)
Discipline: Medical & Engineering
Board: BISE Swat, Pakistan
Year: 2000

Secondary School Certificate (SSC)
Discipline: Science
Board: BISE Swat, Pakistan
Year: 1997

Teaching & Reserach Experience (18+ Years)
6. Reserach Assistant Professor
Institution: Woosong University Kazakhstan
Duration: 1st March 2026 – Present
Research/Teaching Interests
Data Scince, Artificial Intelligence, GenAI, AgenticAI, Artificial Neural Networks (ANN)
Supervision:
Supervising BS, MS, and PhD research in AutoML, Generative AI, Agentic AI, Transformers, and Pretrained Models.


5. Assistant Professor (PG) - (Currently on Leave)
Institution: University of Peshawar
Duration: 2 Dec 2025 – 28th Feb 2026
Courses Taught:
Data Mining, Machine Learning (ML), Artificial Neural Networks (ANN)
Supervision:
Supervising BS, MS, and PhD research in AutoML, Generative AI, Agentic AI, Transformers, and Pretrained Models.

4. Assistant Professor (Computer Science)
Institution: University of Peshawar
Duration: Oct 2015 – 2 Dec 2025
Courses Taught:
Artificial Intelligence, Data Mining, Machine Learning, Management Information Systems, Distributed Systems, Algorithm Analysis, Research Methodology, Operating Systems, Digital Logic Design.
Academic Contributions:
Developed and coordinated the BS Business Intelligence & Analytics program curriculum incorporating Python, R, Generative AI, Power BI, Tableau, Data Warehousing, and Database Administration.
Supervision:
Supervised multiple MS and PhD research projects in applied AI domains.

3. Lecturer (Computer Science)
Institution: University of Peshawar
Duration: Dec 2009 – Oct 2015
Courses Taught:
E-Business, E-Commerce, Operating Systems, Artificial Intelligence, Natural Language Processing, Automata Theory, Visual Basic Programming, Data Structures, Database Administration.
Academic Service:
Served as College-Level Examination Coordinator and supervised numerous final year projects including desktop systems, web applications, and AI-based research solutions.

2. Lecturer (Computer Science)
Institution: University of Science & Technology Bannu
Duration: Aug 2009 – Dec 2009
Courses Taught:
System Analysis & Design, Data Structures.

1. Lecturer (Computer Science)
Institution: Govt. Degree College Kabal, Swat
Duration: Sept 2007 – Aug 2009
Courses Taught:
Programming Fundamentals (C/C++), Digital Logic Design, Discrete Mathematics, Database Management Systems, Computer Networks.

S#

Name of the AWARD

 
 

7

Travel Grant (PKR. 278,276/-) for Research Presentation in: 2018 Joint 10th International Conference on SCIS and 19th ISIS, TOYAMA, Japan.

 

6

Travel Grant (PKR. 206,955/-) for Research Presentation in: 11th International Conference on Ubiquitous Information Management and Communication, (ACM IMCOM 2018), LANGKAWI, Malaysia.

 

5

Best PhD thesis Award among all international students of the batch 2016 of the Kyung Hee University, South Korea

 

4

HEC Pakistan,  Partial Support for PhD Program:  Under the Partial Support for PhD Program, HEC has provided me with a one-time grant of US $15,000.

 

3

Kyung Hee University (South Korea), President and BK21 Plus Research Fellowship (US $73,000) for PhD study in 2012-2016

 

2

Silver medal in MSc Computer Science from the Hazara University, Mansehra in 2005

 

1

Second position in Secondary School Certificate (SSC) from Govt. High School Kishwara.in 1997

 
Patent
Registered Patent – Republic of Korea
Title: Unified Data Modeling for Healthcare Data
Inventors: Sungyoung Lee, Rahman Ali
Applicant: Kyung Hee University Industry–Academy Collaboration Foundation
Registration Number: 10-1609816
Registration Date: March 31, 2016
Authority: Korean Intellectual Property Office (KIPO)
Reference Document:
http://uclab.khu.ac.kr/resources/publication/DP_555.pdf
Password to Download for Reading Purpose: u2950
J39
21 Nov, 2023
Rahman Ali, Zada, M.S.H., Khatak, A.M. et al. Algorithm selection using edge ML and case-based reasoning. Journal of Cloud Computing 12 (1), 162 (2023). https://doi.org/10.1186/s13677-023-00542-3 ", SpringerOpen. [SCIE, IF 3.7] [Category W] [Q1]
J38
17 Nov, 2023
Rahman Ali, Hussain, A., Nazir, S., Khan, S. and Khan, H.U., 2023. Intelligent Decision Support Systems—An Analysis of Machine Learning and Multicriteria Decision-Making Methods. Applied Sciences, 13(22), p.12426. https://doi.org/10.3390/app132212426  [SCIE, IF 2.5] [Category Y] [Q2].
J37
11 Oct, 2023
S. Zhong and Rahman Ali, "Joint Self-Attention Mechanism and Residual Network for Automated Monitoring of Intelligent Sensor in Consumer Electronics," in IEEE Transactions on Consumer Electronics, Vol 70(1), pp. 1302-1309, doi: 10.1109/TCE.2023.3320818. [ESCI, IF 4.3] [Category W] [Q1].
J36
31 July, 2023
Irfan Khan, Xianchao Zhang, Ramesh Kumar Ayyasamy, Rahman Ali, AutoFe-Sel: A Meta-learning based methodology for Recommending Feature Subset Selection Algorithms, KSII Transactions on Internet and Information Systems (TIIS), Vol. 17, No. 7, July 31, 2023, pp. 1773, doi. 10.3837/tiis.2023.07.002 . [SCIE, IF 1.2] [Category X] [Q3].
J35
23 May, 2023
Ali, W., Zuo, W., Ying, W., Rahman Ali, Rahman, G., & Ullah, I. (2023). Causality Extraction: A Comprehensive Survey and New Perspective. Journal of King Saud University - Computer and Information Sciences, Volume 35, Issue 7, July 2023, 101593. Elsevier [SCIE, IF 5.2] [Category W] [Q1] https://doi.org/10.1016/j.jksuci.2023.101593 
J34
29 June, 2023
Rahman Ali, Jamil Hussain, and Seung Won Lee. "Multilayer perceptron-based self-care early prediction of children with disabilities." DIGITAL HEALTH 9 (2023): 20552076231184054, SAGE Publishing. [SCIE, IF 2.9] [Category W] [Q2]
J33
27 Feb, 2023
Ali, Wajid, Wanli Zuo, Ying Wang, and Rahman Ali. 2023. "Toward a Multi-Column Knowledge-Oriented Neural Network for Web Corpus Causality Mining" Applied Sciences Vol. 13, no. 5: 3047. [SCIE, IF 2.5] [Category W] [Q2] https://doi.org/10.3390/app13053047
J32
10 Oct, 2022
Rahman Ali, Asmat Ali, Farkhund Iqbal, Mohammed Hussain, Farhan Ullah, "Deep Learning Methods for Malware and Intrusion Detection: A Systematic Literature Review", Security and Communication Networks, vol. 2022, Article ID 2959222, 31 p.2959222. Hindawi. https://www.hindawi.com/journals/scn/2022/2959222/ [SCIE, IF 1.968] [Category W] [Q2].
J31
5 Oct, 2022
Rahman Ali, Farkhund Iqbal, Muhammad Sadiq Hassan Zada, "Multicriteria Decision Making for Carbon Dioxide (CO2) Emission Reduction", Scientific Programming, vol. 2022, Article ID 2333821, 14 pages, 2022. https://www.hindawi.com/journals/sp/2022/2333821/, Hindawi. [SCIE, IF 1.672] [Category W] [Q3].
J30
01 Oct, 2022
Ali, Wajid, Wanli Zuo, Rahman Ali, Xianglin Zuo, Gohar Rahman, Zuo, X. and Ullah, I.. 2022. Towards Improving Causality Mining using BERT with Multi-level Feature Networks", KSII Transactions on Internet and Information Systems (TIIS), 16(10), pp.3230-3255. Korea Internet Information Society https://papersearch.net/thesis/article.asp?key=3976696  [SCIE, IF 1.2] [Category W] [Q3]
J29
18 Dec, 2021
Aman, Fazal, Azhar Rauf, Rahman Ali, Jamil Hussain, and Ibrar Ahmed. "Balancing Complex Signals for Robust Predictive Modelling." Sensors 21, no. 24 (2021): P-8465. https://www.mdpi.com/1424-8220/21/24/8465  [SCIE, IF 3.4] [Category W] [Q2]
J28
27 Oct, 2021
Ali, Wajid, Wanli Zuo, Rahman Ali, Xianglin Zuo, and Gohar Rahman. 2021. "Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey" Applied Sciences Vol.11, no. 21: 10064. https://doi.org/10.3390/app112110064. [SCIE, IF 2.5] [Category “W”] [Q3].
J27
2021
Ali, Rahman., Sajjad, M., Iqbal, F., Zada, M. S. H., & Hussain, M. (2021). Reducing CO2 Emission Using EDA and Weighted Sum Model in Smart Parking System. International Journal of Computer and Information Engineering, 15(2), 107-112.
https://tinyurl.com/rhu5sy35 [SCIE, IF 0.0] [Category ] [Q4]
J26
28 Nov, 2020
Ud Din, S.; Jan, Z.; Sajjad, M.; Hussain, M.; Ali, Rahman.; Ali, A.; Lee, S. Secure Exchange of Medical Data Using a Novel Real-Time Biometric-Based Protection and Recognition Method. Electronics 2020 Nov 28;9(12).
https://www.mdpi.com/2079-9292/9/12/2013 [SCIE, IF 2.6] [Category “X”] [Q2].
J25
7 Jan, 2020
Khan, Irfan, Xianchao Zhang, Mobashar Rehman, and Rahman Ali. "A literature survey and empirical study of meta-learning for classifier selection." IEEE Access, 8 (2020): 10262-10281. https://ieeexplore.ieee.org/abstract/document/8951014/ [SCIE, IF 3.4] [Category “W”] [Q1]
J24
19 Oct, 2019
Zubair Asghar, Ammara Habib, Anam Habib, Adil Khan, Rahman Ali, Asad Khattak, “Exploring Deep Neural Networks for Rumor Detection”, Journal of Ambient Intelligence and Humanized Computing, Springer, 2019, Pages 1-19. https://link.springer.com/article/10.1007/s12652-019-01527-4 [SCIE, IF 3.2] [Category “W”] [Q1].
J23
10 March, 2018
Maqbool Ali, Rahman Ali, Wajahat Ali Khan, Caren Han, Jae Hon bong, Tae Ho Hur,
Doyan Kim, Sungyoung Lee, Byeong.Ho Kang. “A data-driven knowledge acquisition system: An end-to-end knowledge engineering process for generating production rules”, IEEE Access, Volume 6., Issue 1, December 2018, Pages 15587-15607 https://ieeexplore.ieee.org/document/8319403 [SCIE, IF 3.4] [Category W] [Q1].
J22
01 Feb, 2018
Jamil Hussain, Anees Ul Hassan, Rahman Ali, Muhammad Afzal, Shujaat Hussain, Jaehun Bang, Oresti Banos, Muhammad Bilal Amin, Byeong Ho Kang and Sungyoung Lee, “Model-based adaptive user interface based on context and user experience evaluation”, Journal on Multimodal User Interfaces, Springer (2018) 12: 1. https://doi.org/10.1007/s12193-018-0258-2 [SCIE-, IF. 2.2] [Category W] [Q2].
J21
5 Jan, 2018
Muhammad Afzal, Ph.D. Imran Ali, Rahman Ali, Maqbool Hussain, Taqdir Ali, Wajahat Ali Khan, Muhammad Bilal Amin, Oresti Banos, Sungyoung Lee. "Personalization of wellness recommendations using contextual interpretation”. Expert Systems with Applications, Elsevier. Volume 96, 15 April 2018, Pages 506-521. https://doi.org/10.1016/j.eswa.2017.11.006 [SCIE, IF. 7.5] [Category W] [Q1]
J20
7 Feb, 2018
Rahman Ali, Muhammad Afzal, Muhammad Sadiq, Maqbool Hussain, Taqdir Ali, Asad Masood Khatak, Sungyoung Lee. "Knowledge-Based Reasoning and Recommendation Framework for Intelligent Decision Making”. Expert Systems, Wiley Online Library, 7 February 2018. https://doi.org/10.1111/exsy.12242 [SCIE, IF. 3.0] [Category W] [Q2].
J19
2017
Ahmad, Rashid, Mohammad Abid, and Rahman Ali. "Identification and Resolution of Ambiguities using AV Mapping Algorithm for Query Transformation: Ambiguities Resolution for Query Transformation." Proceedings of the Pakistan Academy of Sciences: A 54.4 (2017): 347-364. [IF. 0.0] [Category Y].
J18
10 Aug, 2017
Taqdir Ali, Maqbool Hussain, Wajahat Ali Khan, Muhammad Afzal, Jamil Hussain, Rahman Ali, et al., “Multi-model-based interactive authoring environment for creating shareable medical knowledge”, Computer Methods and Programs in Biomedicine, Elsevier, Volume 150, October 2017, Pages 41-72 .
https://doi.org/10.1016/j.cmpb.2017.07.010 [SCIE, IF. 4.9] [Category W] [Q1].
J17
1 April, 2017
Rahman Ali, Sungyoung Lee,Tae Choong Chung. "Accurate multi-criteria decision-making methodology for recommending machine learning algorithm”. Expert System with Application, Elsevier 1;71:257-78, April 2017. https://doi.org/10.1016/j.eswa.2016.11.034 [SCIE, IF: 7.5] [Category W] [Q1].
J16
5 Nov, 2016
Siddiqi, Muhammad Hameed, Rahman Ali, Muhammad Idris, Adil Mehmood Khan, Eun Soo Kim, Min Cheol Whang, and Sungyoung Lee. "Human facial expression recognition using curvelet feature extraction and normalized mutual information feature selection, Multimedia Tools and Applications, Springer, (ISSN: 1380-7501, Volume 75 Issue 2, January 2016, Pages 935-959
J15
1 Feb, 2016
Rahman Ali, Siddiqi, Muhammad Hameed, Muhammad Afzal, Maqbool Hussain, Maqbool Ali, and Sungyoung Lee, Byeong Ho Kang. "Multimodal Hybrid Reasoning Methodology for Personalized Wellbeing Services”. Computers in Biology and Medicine, Elsevier, Volume 69, 1 February 2016, Pages 10-28.
https://doi.org/10.1016/j.compbiomed.2015.11.013 [SCI, IF. 7.0] [Category W] [Q1],
J14
4 Feb, 2015
Rahman Ali, Muhammad Hameed Siddiqi, and Sungyoung Lee. "Rough set-based approaches for discretization: a compact review." Artificial Intelligence Review, Springer, August 2015, Volume 44, Issue 2, pp 235–263
https://doi.org/10.1007/s10462-014-9426-2 [SCI, IF: 10.7] [Category W] [Q1].
J13
3 July, 2015
Rahman Ali, Siddiqi, Muhammad Hameed, Jamil Ahmad, Hussain Maqbool, and Sungyoung Lee. "H2RM: A Hybrid Rough Set-based Reasoning Model for Diagnosis and Management of Diabetes Mellitus”. Sensors, MDPI, Vol.15, Issue 7, pp.15921-15951, 3rd July 2015.
https://doi.org/10.3390/s150715921[SCIE, IF. 3.4] [Category W] [Q2].
J12
2 July, 2015
Rahman Ali, Siddiqi, Muhammad Hameed, Muhammad Idris, and Sungyoung Lee. "GUDM: Automatic Generation of Unified Datasets for Learning and Reasoning in Healthcare”. Sensors, MDPI, Vol.15, Issue 7, pp.15772-15798., 2nd July 2015.
http://doi.org/10.3390/s150715772  [SCIE, IF. 3.4] [Category W] [Q2].
J11
28 Oct, 2015
M Hussain, M Afzal, T Ali, Rahman Ali, WA Khan, A Jamshed, S Lee, BH Kang, and Sungyoung Lee. "Data-driven knowledge acquisition, validation, and transformation into HL7 Arden Syntax”. Artificial intelligence in medicine, Elsevier. 2015.09.008, 28th Oct 2015.
https://doi.org/10.1016/j.artmed.2015.09.008 [SCI, IF. 6.1] [Category W] [Q1].
J10
24 Feb, 2015
Siddiqi, Muhammad Hameed, Rahman Ali, Adil Mehmood Khan, Young-Tack Park, and Sungyoung Lee. "Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields. “IEEE Transactions on Image Processing”, IEEE, Vol.24, No.4, pp.1386-1398, 24 February 2015.
http://doi.org/10.1109/TIP.2015.2405346 [SCI, IF: 10.8] [Category W] [Q1].
J9
15 Aug, 2015
Ahmed, Ishtiaq, Rahman Ali, Donghai Guan, Young-Koo Lee, Sungyoung Lee, and TaeChoong Chung. "Semi-supervised learning using frequent itemset and ensemble learning for SMS classification." Expert Systems with Applications”, Elsevier, Vol. 42, no. 3 (15 February 2015): 1065-1073.
J8
14 Aug, 2014
Siddiqi, Muhammad Hameed, Rahman Ali, Abdul Sattar, Adil Mehmood Khan, and Sungyoung Lee. "Depth Camera-Based Facial Expression Recognition System Using Multilayer Scheme." IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), Taylor & Francis Online, Vol.31, no. 4 (14 Aug 2014): 277-286.
J7
20 July, 2014
Siddiqi, Muhammad Hameed, Rahman Ali, Adil Mehmood Khan, Eun Soo Kim, Gerard Junghyun Kim, and Sungyoung Lee. "Facial expression recognition using active contour-based face detection, facial movement-based feature extraction, and non-linear feature selection." Multimedia Systems, Springer, Volume 21 (20 July 2014): 1-15. http://link.springer.com/article/10.1007/s00530-014-0400-2 [SCI, IF: 3.5] [Category W] [Q1].
J6
23 May, 2014
Fahim, Muhammad, Muhammad Idris, Rahman Ali, Christopher Nugent, Byeong Kang, Eui-Nam Huh, and Sungyoung Lee. "ATHENA: A Personalized Platform to Promote an Active Lifestyle and Wellbeing Based on Physical, Mental and Social Health Primitives." Sensors, MDPI, Vol. 14, no. 5 (23 May 2014): 9313-9329. http://www.mdpi.com/1424-8220/14/5/9313 [SCIE, IF. 3.4] [Category W] [Q2].
J5
04 April, 2014
Siddiqi, Muhammad Hameed, Rahman Ali, Md Sohel Rana, Een-Kee Hong, Eun Soo Kim, and Sungyoung Lee. "Video-based human activity recognition using multilevel wavelet decomposition and stepwise linear discriminant analysis." Sensors, MDPI, Vol. 14, no. 4 (4 April 2014): 6370-6392. http://www.mdpi.com/1424-8220/14/5/9313 [SCIE, IF. 3.4] [Category “W”] [Q2].
J4
2013
Rahman Ali, Mohammad Abid Khan, “Second Order Predicate Logic for Pashto Knowledge Representation”, Pashto quarterly Journal, Pashto Academy, University of Peshawar, [Y Category, IF. 0.0], 2013. https://tinyurl.com/3n9z867j  
J3
2011
Mohammad Bilal, Mohammad Abid Khan, Rahman Ali, “An adaptive approach of syntactic ambiguity resolution in Pashto”, African Journal of Mathematics and Computer Science Research, [Non-Index, IF. 0.0], Vol. 4(2), pp. 55–63, February 2011. https://academicjournals.org/article/article1379686062_Bilal%20et%20al.pdf
J2
2011
Rahman Ali, Mohammad Abid Khan, Zaheer Ahmad, Ibrar Ahmad, Muhammad Amir, “A State-of-the-Art Review of Corpus Linguistics Journals”, PUTAJ Science, [Non-Index, IF. 0.0], Vol. 18, pp. 225-240, ISSN 2219-2468, University of Peshawar, Pakistan, 2011.
J1
2011
Rahman Ali, Mohammad Abid Khan, “Computational Treatment of Zero Anaphora in Pashto Language”, Bilingual Quarterly Research Journal, Pashto, [IF. 0.0, Category Y], Vol. 39-40, No: 641s, ISSN: 0555-8158, pp. 1-11, Pashto Academy, University of Peshawar, Sept 2010- Oct 2011.
RESEARCH EXPERIENCE - CONFERENCES PAPERS
 
C.No  Year                     Detail: Authors, Title, Conference, Date & URL
C29
2024
Khan, I., Zhang, X., Ali, Rahman. and Habib, M., 2024, December. Meta-Learning for Automated Algorithm Selection in Healthcare: Enhancing Clinical Outcomes through Data-Driven Recommendation. In 2024 International Conference on IT and Industrial Technologies (ICIT) (pp. 1-6). IEEE. DOI: 10.1109/ICIT63607.2024.10859997
 
C28
2021
Rahman Ali, Khatak AM. Multicriteria Decision Making Using TOPSIS Method: An Accurate Selection of Deserving Candidates. In Proceedings of the Future Technologies Conference 2021 Nov 28 (pp. 506-517). Springer, Cham.
 
C27
2019
Rahman Ali, Asmat Ali, Farkhund Iqbal and Asad Masood Khatak “A Systematic Review of Artificial Intelligence and Machine Learning Techniques for Cyber Security”, Submitted in ICBDS 2019 - International Conference on Big Data and Security, Nanjing, China, pp. 584-593, 20-22 Dec 2019. https://link.springer.com/chapter/10.1007/978-981-15-7530-3_44.
 
C26
2019
Muneeb Ullah, Rahman Ali, Abdullah, Tufail Khan, Mukhtar Ahmad and Farhan Ullah, “Software Cost Estimation – A Comparative Study of COCOMO-II and Bailey-Basili Models”, Accepted in AECT2019 - International Conference on Advances in the Emerging Computing Technologies. Islamic University of Madinah, Medina, Saudi Arabia, Dec 08-10, 2019. https://ieeexplore.ieee.org/document/9194166
 
C25
2019
Fazal Aman, Azhar Rauf, Rahman Ali, Farkhund Iqbal, and Asad Masood Khatak “A Predictive Model for Predicting Students Academic Performance”, Accepted in IISA 2019 - The 10th International Conference on Information, Intelligence, Systems and Applications, 15-17 July 2019. https://ieeexplore.ieee.org/document/8900760
C24
2018
Asmat Ali, Rahman Ali, Asad Masood Khatak and, Muhammad Saqlain Aslam, “Large Scale Image Dataset Construction Using Distributed Crawling with Hadoop YARN”, 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), Toyama, Japan, 2018, pp. 394-399. doi: 10.1109/SCIS-ISIS.2018.00075
C23
2018
Ammara Habib, Saima Akbar, Muhammad Zubair Asghar, Asad Masood, Rahman Ali and Ulfat Batool, "Rumor Detection in Business Reviews Using Supervised Machine Learning", 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2018), National University of Kaohsoung, Taiwan / 12-14 November, 2018. https://ieeexplore.ieee.org/document/8697323
C22
2018
Rahman Ali, Asad Masood Khatak, Chow Francis, Sungyoung Lee, “A Case-Based Meta-Learning and Reasoning Framework for Classifiers Selection”, 11th International Conference on Ubiquitous Information Management and Communication, (ACM IMCOM 2018), LANGKAWI, Malaysia, Jan 5-7, 2018, pp 1-6. doi>10.1145/3164541.3164601.
C21
2015
Wajahat Ali Khan, Muhammad Idris, Taqdir Ali, Rahman Ali, Shujaat Hussain, Maqbool Hussain, Muhammad Bilal Amin, Asad Masood Khattak, Yuan Weiwei, Muhammad Afzal, Sungyoung Lee and Byeong Ho Kang, "Correlating Health and Wellness Analytics for Personalized Decision Making", 17th International Conference on E-health Networking, Application & Services (Healthcom 2015), Oct 14-17, 2015
C20
2015
Wajahat Ali Khan, Muhammad Bilal Amin, Oresti Banos, Taqdir Ali, Maqbool Hussain, Muhammad Afzal, Shujaat Hussain, Jamil Hussain, Rahman Ali, Maqbool Ali, Dongwook Kang, Jaehun Bang, Tae Ho Hur, Bilal Ali, Muhammad Idris, Asif Razzaq, Sungyoung Lee and Byeong Ho Kang, "Mining Minds: Journey of Evolutionary Platform for Ubiquitous Wellness", 12th International Conference on Ubiquitous Healthcare (u-Healthcare 2015), Osaka, Japan, Nov 30- Dec 02, 2015
C19
2015
Banos, O., Bilal Amin, M., Ali Khan, W., Afzel, M., Ahmad, M., Ali, M., Ali, T., Ali, R., Bilal, M., Han, M., Hussain, J., Hussain, M., Hussain, S., Hur, T. H., Bang, J. H., Huynh-The, T., Idris, M., Kang, D. W., Park, S. B., Siddiqui, M., Vui, L. B., Fahim, M., Khattak, A. M., Kang, B. H. and Lee, S, "An innovative platform for person-centric health and wellness support ", Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015), Granada, Spain, April 15-17, 2015.
C18
2015
Rahman Ali, Muhammad Hameed Siddiqi, Byeong Ho Kang and Sungyoung Lee, "KARE: A Hybrid Reasoning Approach for Promoting Active Lifestyle", ACM-IMCOM (ICUIMC) 2015, Jan 8-10, 2015
C17
2014
Rahman Ali, Muhammad Hameed Siddiqi, Muhammad Idris, Byeong Ho Kang, and Sungyoung Lee, " Prediction of diabetes mellitus based on boosting ensemble modeling", 8th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2014), Belfast, United Kingdom, December 2-5, 2014.
C16
2014
Muhammad Hameed Siddiqi, Rahman Ali, Byeong Ho Kang and Sungyoung Lee, "A New Feature Extraction Technique for Human Facial Expression Recognition Systems using Depth Camera", 6th International Work-conference on Ambient Assisted Living (IWAAL 2014), Belfast, United Kingdom, December 2-5, 2014.
C15
2014
Muhammad Hameed Siddiqi, Rahman Ali, Ibrahiem M. M. El Emary and Sungyoung Lee, "An Unsupervised Technique for Automatic Face Detection and Extraction", 2014 International Conference on Information Science, Electronics and Electrical Engineering (IEEE 2014), Sapporo City, Hokkaido, Japan, April 26-28, 2014.
C14
2011
Rahman Ali, Muhammad Amir, Mohammad Abid Khan “Developing a Pashto Treebank”, in International Conference on Networks & Information Technology (ICCNIT), 2011. University of Peshawar, Pakistan, 2011.
C13
2010
Zaheer Ahmad, Mohammad Abid Khan, Rahman Ali, Ibrar Ahmad, Muhammad Amir, “Evolving Web Corpus: Text Powered by Non Text”, in Conference on Language and Technology, 2010 (CLT10), Islamabad, Pakistan, 2010.
C12
2009
Mohammad Bilal, Mohammad Abid Khan, Rahman Ali, “Identification of syntactic ambiguities in Pashto text”, Accepted in 5th International Conference on Emerging Technology (IEEE-ICET2009), National University of Computer and Emerging Sciences, Islamabad, Pakistan, October 19-20, 2009.
C11
2009
Rahman Ali, Mohammad Abid Khan M.A, Mushtaq Ali, “Reflexive Anaphora Resolution in Pashto Discourse”, in proceeding 2nd Conference on Language and Technology (CLT2009), National University of Computer and Emerging Sciences, Lahore, Pakistan, 22-24 January, 2009, pp. 41-45.
C10
2009
Rashid Ahmad, Mohammad Abid Khan, Rahman Ali, “Efficient Transformation of Natural Language Query to SQL”, in proceeding 2nd Conference on Language and Technology (CLT2009), National University of Computer and Emerging Sciences, Lahore, Pakistan, 22-24 January, 2009, pp 53-60.
C9
2009
Ihsan Rabbi, Mohammad Abid Khan, Rahman Ali, “Rule-based Part of Speech Tagging for Pashto language”, in proceeding 2nd Conference on Language and Technology (CLT2009), National University of Computer and Emerging Sciences, Lahore, Pakistan, 22-24 January 2009, pp 82-87.
C8
2008
Mushtaq Ali, Mohammad Abid Khan, Rahman Ali, “Ellipses Resolution in WH-Construction in Pashto”, in proceeding 12th IEEE International Multitopic Conference (IEEE INMIC 2008), Bahria University Karachi, Pakistan on 23-24 December 2008, pp 436-440.
C7
2008
Rahman Ali, Mohammad Abid Khan, Rashid Ahmad, “Implementation of the rule-based approach for the resolution of strong personal anaphora in Pashto discourse”, in proceeding 12th IEEE International Multitopic Conference (IEEE INMIC 2008), Bahria University Karachi, Pakistan on 23-24 December 2008, pp 501-507.       http://www.ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4777790
C6
2008
Rahman Ali, Mohammad Abid Khan, Mohammad Bilal, Ihsan Rabbi, “Reciprocal Anaphora Resolution in Pashto Discourse”, in proceeding 4th IEEE International Conference on Emerging Technologies (IEEE—ICET2008)”, College Of Electrical & Mechanical Engineering (EME), Rawalpindi 46000, Pakistan, October 18-19, 2008, pp 1-5. http://www.ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4777464
C5
2008
Rahman Ali, Mohammad Abid Khan, Mohammad Bilal, Ihsan Rabbi, “Empirical Analysis of Pashto Text for Types of Pashto Anaphora”, in proceeding of International Conference on Information & Communication Technology (IC-ICT2008), University of Science & Technology, Bannu, Pakistan, pp 146-151.
C4
2008
Ihsan Rabbi, Mohammad Abid Khan, Rahman Ali, Rashid Ahmad, “Theoretical Analysis of Pashto Phrases for the Creation of Parser”, in proceeding of International Conference on Information & Communication Technology (IC-ICT2008), University of Science & Technology, Bannu, Pakistan, pp 137-140.
C3
2008
Rahman Ali, Mohammad Abid Khan, Rashid Ahmad, Ihsan Rabbi, "Rule Based Personal References Resolution in Pashto Discourse for Better Machine Translation" In Proceedings of Second International Conference on Electrical Engineering (ICEE 2008), 25-26 March 2008, University of Engineering and Technology, Lahore 54890, Pakistan, pp 57-62.
C2
2008
Ihsan Rabbi, Mohammad Abid Khan, Rahman Ali, "Developing a tagset for Pashto part of speech tagging",  in Proceedings of Second International Conference on Electrical Engineering (ICEE 2008), 25-26 March 2008, University of Engineering and Technology, Lahore 54890, Pakistan, pp.
C1
2007
Rahman Ali, Mohammad Abid Khan, Ihsan Rabbi, "Strong Personal Anaphora Resolution in Pashto Discourse", in Proceedings of Third International Conference on Emerging Technologies (ICET2007), Riphah International University, Islamabad, Pakistan, November 12-13, 2007, pp 148-154.
S.#
Nature of Research/Project
Awarding Body Institution
Name of Sponsor
 
 
15
Name of the Project:  NAVTTC PM Youth Skills Development Program (PMYSDP) – Batch 4
Duration: July 2023 –Sept 2023       
Budget: Rs. 2,750,000
Project Main Features:
Providing Hand-on Training on High-tech Trades: Database Administration (Oracle DBA Track), and Certificate in IT (Graphics, Web & Mobile App. Designing).
NAVTTC, Govt of Pakistan
DG NAVTTC, Khyber Pakhtunkhawa
 
14
Name of the Project:  NAVTTC PM Kamyab Jawan Skills-for-ALL Program – Batch 3
Duration: April 2022 – Sept 2022
Budget: Rs.3,500,798/-
Project Main Features:
Providing Hand-on Training on High-tech Trades: Certificate in IT (Graphics, Web & Mobile App. Designing) and Computerized Accounting (Peachtree; Quickbooks)
NAVTTC, Govt of Pakistan
DG NAVTTC, Khyber Pakhtunkhawa
 
13
Name of the Project:  “Skills for All” Hunarmand Pakistan Program, Cohort-B
Duration: March 2021 – Sept 2021
Budget: Rs.4,871,550/-                     
Project Main Features:
Providing Hand-on Training on High-tech Trades: Database Administration (Oracle DBA Track), Certificate in IT (Graphics, Web & Mobile App. Designing) and Computerized Accounting (Peachtree; Quickbooks)
NAVTTC, Govt of Pakistan
DG NAVTTC, Khyber Pakhtunkhawa
 
12
Name of the Project:  “Prime Minister’s “Skills for All” Hunarmand Pakistan Program (Kamyab Jawan Initiative)”.
Duration: Feb 2020 – July 2020       
Budget: Rs. 3,249,900/-
Project Main Features:
Providing Hand-on Training on High-tech Trades: including Database Administration (Oracle DBA Track) and Certificate in IT (Graphics, Web & Mobile App. Designing)
National Vocational & Technical Training Commission (NAVTTC), Govt. of Pakistan
DG NAVTTC, Khyber Pakhtunkhawa
 
11
Name of the Project:  Design and development of an accurate Multi-Criteria Decision-Making (MCDM) model for Deserving Donee Selection
Duration: July 2020 – Sept 2020
Project Main Features:
This research project is focused on the Design & Development of an Intelligent Decision Support System (IDSSs) using Artificial Intelligence technologies to facilitate NGOs/NPOs in accurate ranking and selection of the most deserving donee for charity.
Publications:
Zayed University, Abu Dhabi, UAE
 
Prof. Dr. Asad Masood Khatak
 
10
Name of the Project:  A Systematic Review of Artificial Intelligence and Machine Learning Techniques for Cyber Security -
Duration: Jan 2020 – March 2020
Project Main Features:
A comprehensive survey of the use of Machine Learning methods and algorithms in the domain of cyber security.
Publications:
Zayed University, Abu Dhabi, UAE
Dr. Mohammad Hussain/Mr. Asmat Ali
 
9
Name of the Project:
Deep Learning On Smart Cities' Data for Reducing CO2 Emissions
Duration: Dec 2019 – Feb 2020               
Project Main Features:
Use of AI and MCDM methods to design a cloud-based solution to recommend the drivers with nearest smart parking with empty slots.
Publications:
Zayed University, Abu Dhabi, UAE/Islamia College University, Peshawar
 
Prof. Dr. Farkhund Iqbal and Professor Dr. Muhammad Sajjad
 
8
Name of the Project:  Intelligent Decision Support System for Predicting Students' Academic Performance –
Duration: April 2019 – July 2019              
Project Main Features:
This research project is focused on the design and development of an intelligent decision support system (IDSS) for predicting students' academic performance prior to their admission in any academic program or promotion to the next grade.
Publications:
Zayed University, Abu Dhabi, UAE
Dr. Saiqa Aleem
 
7
Name of the Project:  
Design and development of a case-based meta-learning and reasoning (CBMLR) framework for the recommendation of appropriate classifier
Duration: Sept 2017 – Nov 2017
Project Main Features:
This research project is focused on the investigation of meta-features and its extraction from datasets, characterizing classification algorithms and developing a prediction model to automatically select the optimum performance machine learning algorithm(s).
Publications:
Software(s) developed:
Zayed University, Abu Dhabi, UAE
Dr. Francis Chow
 
6
Impersonal Models for Recognizing a Wide-Range of Daily Life Activities on Smart Devices
Duration: Sep 2016 – Oct 2017               
Project Main Features:
The research focuses on developing algorithms for human activity recognition and user identification via smartwatches, alongside designing a knowledge-based reasoning and recommendation method for personalized decision support.
Co-PI Research Incentive Fund (RIF), Zayed University, Abu Dhabi, UAE
 
Dr. Asad Masood Khatak
 
5
Name of the Project: Mining Minds Core Technology Exploiting Personal Big Data
Duration: August 2013 – Sept 2016         
Project Main Features:
“Mining Minds” is a novel Artificial Intelligence-based framework aimed at comprehensively mining human’s daily life data generated from heterogeneous resources for producing personalized health and wellness support. Mining Minds philosophy revolves around the concepts of data, information, knowledge and service curation, which refer to the discovery, processing, adaptation and evolution of both contents and mechanisms for the provision of high-quality wellbeing services using Artificial Intelligence technologies.
Publications:
Software(s) developed:
  1. AlgoSelector: https://github.com/intelligent-decision-support-systems/automatic-algorithm-selector
  2. Knowledge-based reasoning framework: https://github.com/intelligent-decision-support-systems/knowledge-based-reasoning-framework
Kyung Hee University, South Korea
 
Prof. Dr. Sungyoung Lee
 
4
Name of the Project:  Design & Development of Smart Clinical Decision Support System (CDSS) - http://smartcdss.com/
Duration: Sept 2012 – Sept 2016             
Project Main Features:
This research project investigates and analyze the scenario of Head & Neck Cancer and design and develop a Smart Clinical Decision Support System (CDSS) that helps in: Authoring HL7 compliance sharable medical knowledge in the form of Arden Syntax MLM, Integration of Evidence-based Research and prediction of Cancer stage.
Publications:
Kyung Hee University, South Korea
 
Prof. Dr. Sungyoung Lee
 
3
Name of the Project:  The PULSE - Personalized, Ubiquitous Life-care Decision Support System- http://uclab.khu.ac.kr/PULSE/
Duration: Sept 2012 – Sept 2015             
Project Main Features:
The project is focused on the use of technologies to provide personalized healthcare services based on activity, emotion recognition and context-awareness.
Publications:
Kyung Hee University, South Korea
 
Prof. Dr. Sungyoung Lee
 
2
Name of the Project:  ATHENA: Activity-awareness for Human Engaged Wellness Application - http://uclab.khu.ac.kr/resources/publication/J_177.pdf ; http://uclab.khu.ac.kr/ATHENA/ 
Project Main Features:
The project is focused on the development of ATHENA, A Personalized Platform to Promote an Active Lifestyle and Wellbeing of the users based on Physical, Mental and Social Health Primitives.
Publications:
Software Developed:
Kyung Hee University, South Korea
 
Prof. Dr. Sungyoung Lee
 
1
Name of the Project: Development of a Pashto Machine Translation System
Project Main Features:
Aim of the project was to develop a statistical machine translation system for Pashto language.
University of Maine, Le Mans, France
Prof. Dr. Holger Schwenk
 
Research Supervision (MS / MPhil / PhD)
  • PhD Supervised: 3
  • MS/MPhil Supervised: 3+
  • Research Areas: AutoML, Data Science, Meta-Learning, NLP/BERT, Deep Learning, Cybersecurity
PhD Thesis Supervision (Completed)
1. Dr. Fazal Aman
Institution: University of Peshawar
Year of Completion: 2022
Thesis: Efficient Predictive Modeling in the Modern Interpolation Regime through the Smoothing Effect by Balancing Normal and Complex Signals

2. Dr. Wajid Ali (Online Supervision)
Institution: Jilin University, China
Completion Date: Dec 1, 2023
Thesis: Causality Mining in Natural Language Text Using Deep Neural Networks

3. Mr. Irfan Khan (Online Supervision)
Institution: Dalian University of Technology, China
Completion Date: Sept 12, 2024
Thesis: Meta-Learning-Based Optimization Methods for Automated Machine Learning

MS / MPhil Thesis Supervision (Current & Completed)
4. Mr. Hamid Ali
Degree: MS (Computer Science)
Institution: University of Peshawar
Duration: 2025 – 2027
Thesis: Accurate Outlier Detection Methodology Using Meta-Learning

5. Mr. Bilal Ahmad
Degree: MS (Computer Science)
Institution: University of Peshawar
Duration: 2025 – 2027
Thesis: AutoML for Optimum Performance Probabilistic Algorithm Selection

6. Mr. Sanaulhaq
Degree: MS (Computer Science)
Institution: Institute of Business & Management Sciences (IBMS), The University of Agriculture, Peshawar
Duration: 2022 – 2025
Thesis: Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Cybersecurity
Open-Source Research Software
Summary
Open-Source Research Tools: 3
Research Areas: AutoML, Intelligent Decision Support Systems, Knowledge-Based Systems, Data Integration for Machine Learning.
 
1. AlgoSelector – Automatic Algorithm Selection Using Case-Based Reasoning
Description: Research software for automatic selection of machine learning algorithms using a case-based reasoning framework to support intelligent decision making.
Repository: https://github.com/intelligent-decision-support-systems/automatic-algorithm-selector

2. Knowledge-Based Reasoning Framework
Description: A framework designed to generate intelligent recommendations by utilizing previously stored domain knowledge and reasoning mechanisms.
Repository: https://github.com/intelligent-decision-support-systems/knowledge-based-reasoning-framework

3. GUDM (Generic Unified Data Modeler)
Description: A software tool for integrating heterogeneous datasets and transforming them into a unified data model to support data analytics and machine learning applications.
Repository: https://github.com/leading-light/GUDM

 
Editorial and Peer-Review Activities
  • Editorial Roles: 4 Special Issues (Lead Guest Editor)
  • Journal Reviewing: SCI/SCIE Journals including Information Sciences, Expert Systems with Applications, IEEE Access, and Multimedia Tools and Applications.
Lead Guest Editor – Special Issues
1. Applied Sciences (MDPI)
Special Issue: Multi-Criteria Decision Making (MCDM) Using Artificial Intelligence (AI)
Role: Lead Guest Editor
Status: Closed – 20 June 2023
Link: https://www.mdpi.com/journal/applsci/special_issues/I5935856EE

2. Computer, Materials & Continua – Tech Science Press
Special Issue: Big Data Analysis for Healthcare Applications
Role: Lead Guest Editor
Status: Closed – 30 May 2023
Link: https://www.techscience.com/cmc/special_detail/big-data-analytics

3. Scientific Programming (Hindawi)
Special Issue: AI-Enabled Decision Support Systems: Methodologies, Applications, and Advancements
Role: Lead Guest Editor
Year: 2021
Status: Closed – 04 Mar 2022
Link: https://www.hindawi.com/journals/sp/si/120492/

4. Scientific Programming (Hindawi)
Special Issue: Intelligent Decision Support Systems Based on Machine Learning and Multicriteria Decision-Making
Role: Lead Guest Editor
Year: 2020
Status: Closed – 28 Feb 2020
Link: https://www.hindawi.com/journals/sp/si/295240/

Journal Reviewer
5. Multimedia Tools and Applications (SCIE Indexed)
Role: Reviewer
Status: Ongoing
6. Information Sciences (SCI Indexed)
Role: Reviewer
Status: Ongoing
7. Expert Systems with Applications (SCIE Indexed)
Role: Reviewer
Status: Ongoing
8. IEEE Access (SCIE Indexed)
Role: Reviewer
Status: Ongoing
Invited Talks & Educational Workshops
  • Total Invited Talks & Workshops: 9
  • Key Areas: Artificial Intelligence, Machine Learning, Research Methodology, Academic Development, AI in Higher Education.
1. No-Code & Low-Code AI/ML for Intelligent Decision Making
Host: Riphah International University, Malakand Campus, KP, Pakistan
Date: July 1, 2025

2. Academic Excellence through AI: Boosting Teaching, Research, and Administration in Higher Education
Host: Center for Human Resource and Career Development (CHRCD), University of Peshawar, Pakistan
Year: 2024

3. AI for Research – A Big Picture
Audience: Academic Leaders, Higher Education Department (HED) & University of Peshawar, Pakistan
Year: 2024

4. Automatic Selection and Configuration of Machine Learning Algorithms
Event: ICCIS 2024
Host: Kohat University of Science and Technology (KUST), Pakistan
Year: 2024

5. End-to-End Machine Learning Process Using Weka
Host: Office of Research and Innovation Center, Fatima Jinnah Women University, Rawalpindi, Pakistan
Year: 2022

6. Systematic Methodology of Research and Development
Host: Center for Human Resource and Career Development, University of Peshawar, Pakistan
Year: 2021

7. Research Methodology
Host: Center for Human Resource and Career Development, University of Peshawar, Pakistan
Year: 2021

8. Machine Learning Algorithm Selection and Configuration
Host: Department of Computer Science & Engineering, University of Malaya, Malaysia
Year: 2018

9. Writing, Citing & Plagiarism
Host: Office of Research, Innovation & Commercialization (ORIC), University of Peshawar, Pakistan
Year: 2017
Professional Society Service
IEEE Consumer Technology Society (CTSoc)
Role: Committee Member – Machine Learning, Deep Learning, and Artificial Intelligence in Consumer Electronics (MDA) Technical Committee
Served as a member of the Machine Learning, Deep Learning, and Artificial Intelligence in Consumer Electronics (MDA) Technical Committee under the Technical Activities Board of the IEEE Consumer Technology Society (CTSoc). Contributed to the promotion and advancement of research and technical activities related to AI, machine learning, and deep learning applications in consumer electronics, including participation in collaborative initiatives, knowledge dissemination, and community engagement within the IEEE research ecosystem.
Institutional Development Contribution
 
Establishment of Smart Classroom – University of Peshawar
Contributed to the establishment and operationalization of the Smart Classroom at the University of Peshawar under the China–Pakistan Economic Corridor (CPEC) Smart Classroom Initiative aimed at modernizing higher education through technology-enabled teaching environments.
 
Role and Contribution:
  • Led the implementation and setup of the Smart Classroom facility at the University of Peshawar.
  • Coordinated with the Higher Education Commission (HEC) and project stakeholders during the deployment phase.
  • Currently serving as the Focal Person, overseeing its operation and integration into teaching and academic activities.