Professor Ali Daud

Computer Science (Artificial Intelligence and Data Science)

PhD (Tsinghua University)

ACM Professional Member (Complementary)

IEEE Senior Member
CV

HIGHLIGHTS-> Ranked among Top 2% Highly Cited Scientists of Computer Science in the World "Report prepared by Prof. John P.A. Ioannidis and his team at Stanford University, USA, consecutively for the years 2020, 2021, 2022 and 2023".

-> My PhD Graduation Tsinghua University is ranked at #20 by THE and #15 by QS in 2021

-> My favourite line about science "Science doesn't have to be beautiful, it has to be effective."

SUMMARY

Professor

IEEE Senior Member

PhD (Tsinghua University)

Approved PhD Supervisor (Higher Education Commission Pakistan (HEC))

Head of Data Mining Research Group (DMRG)

Email: alimsdb@gmail.com

Post PhD Experience: 13 Years

Post Graduation Experience: 18 Years

Google Scholar: H-Index (28), Citations (3021), i10-Index (64)

ResearchGate Score: 37.38 (Top 2.5%)

Research Papers: 109

SCI (89), EI (5), Conferences (15)

Funded Projects: 15

PI (4), Co-PI (4), Member (7)

Thesis Supervised: PhD (10), MS (31), BS (28) 

BIOGRAPHY

I have obtained my PhD degree in Computer Science from Tsinghua University, Beijing, China in July, 2010. I have 13+ years of post-PhD experience of teaching and supervision at BS, MS and PhD level (English). I believe in the publishable and applicable research. I have published several good papers and also have taken part in many research projects as well and acquired research funding's for projects. I have proven and extensive experience in Data Mining, Artificial Intelligence (Machine Learning / Deep Learning) applications to Social Networks, Natural Language Processing, Data Science, etc.

In summary, I believe that teaching, research, and industry collaborations are non-separable parts of academic career. I am enthusiastic about advancing the intellectual development of my students to its best and use research for solving real life problems through industry collaborations. I love to work in a team to learn and grow faster. 

RESEARCH INTERESTS

Artificial Intelligence (Machine Learning and Deep Learning), Data Science, Data Mining, Natural Language Processing, Internet of Things

 

Highlighted research work “Anomaly Detection in Dynamic Networks”

Evolution in the nodes along with their attributes leverages the probability of anomalies in the network. We aim to detect anomalies in the dynamic network settings where network structure emerges due to the co-evolution of nodal attributes. In a dynamic attributed network, certain attributes influence nodes and cause them anomalies. In this study, we propose a DEep Co-evolution architecture for anOmaly DetEction (DECODE) in dynamic network settings. Particularly, the proposed architecture models node-attribute embedding learning with the recognized Graph Neural Network (GNN). A Long Short-term Memory (LSTM) autoencoder is trained to reconstruct the learned embeddings. The combinatorial effect of LSTM autoencoders and GNN helps to spot the anomalies by computing network reconstruction errors in terms of both nodes and attributes. We do provide experimentation on real-world datasets that depicts the effectiveness of the proposed architecture. 

EDUCATION

Years Degree University/Institute

2007-2010 PhD Computer Science Tsinghua University, Beijing, China [Top 20 in QS and THE Rankings] 

2003-2005 MS Computer Science UAF, Faisalabad, Pakistan

Thesis/Project

ACADEMIC ACTIVITIES

Departmental

External Reviewer in Universities [BS, MS, PhD theses Examiner; Faculty Applications Evaluator; MS Program Evaluator]

Session Chair

International Conference on Emerging Technologies (ICET), Islamabad, 2018

PhD Symposium Expert

Member Expert Panel PhD Symposium at Mohammad Ali Jinnah University on 13th December, 2014. 

Morning session:

http://streaming.hec.gov.pk/tcs/#page:recordingList&pageNumber:1&id:2F0C696F-6403-4AB3-A168-E1F66DE2728F

After Lunch session:

http://streaming.hec.gov.pk/tcs/#page:recordingList&pageNumber:1&id:F514E54F-055F-4451-B6CE-5F9C450DA06B

Conference Presentations / Attendee

Program Committee Member

Paper Reviewer

Journals

Scientometrics Journal, Knowledge Based Systems (KBS), Journal, Library Hi-Tech, World Wide Web (WWW) Journal, Telematics and Informetrics, International Journal on Semantic Web and Information Systems (IJSWIS), Knowledge and Information Systems Journal (KAIS), Transactions on Affective Computing, Journal of Information Processing and Management, Artificial Intelligence Review, Frontiers of Computer Science, Applied Intelligence, Journal of Information Science, Transactions on Computational Biology and Bioinformatics (TCBB), IET Software, Pakistan Journal of Computer and Information Systems, Mehran University Research Journal of Engineering & Technology, MS Pakistan Academy of Sciences Journal

Conferences

Memberships

HONORS & AWARDS

Self

Students

CERTIFICATIONS

TRAININGS /WORKSHOPS / SEMINARS

HOBBIES

Cricket ‘hard and soft ball' (High), Table Football (High), Billiards (High), Arm Wrestling (High), Cooking (Medium), Snooker (Medium), Badminton (Medium)

SOCIAL WORK

I am doing occasional online social work to help people in finding scholarships, admission and to perform research activities on the following blogs.

SKILLS / KNOWLEDGE

EDITORIAL RESPONSIBILITIES

Editor-in-Chief

Researchpedia Journal of Computing (https://researchpedia.info/researchpedia-journal-of-computing-rpjc/)

REFERENCES

Lizhu Zhou (PhD Supervisor)

Professor in the Department of Computer Science and Technology

Head of Databases Group (DB), Chair of the Academic Committee, Tsinghua University, China

Telephone Office: (0086-10) 62771603, Email: dcszlz@tsinghhua.edu.cn

Juanzi Li (Mentor)

Professor in the Department of Computer Science and Technology

Head of Knowledge Engineering Group (KEG), Deputy chair of Institute of Software, Tsinghua University, China

Telephone Office: (0086-10) 62781461, Email: ljz@keg.cs.tsinghua.edu.cn