Brief Biography
Dr ADNAN NADEEM ALHASSAN received the Ph.D. degree from the Institute for Communication Systems, University of Surrey, United Kingdom., in 2011. He has been working as an Associate Professor with the Faculty of Computer and Information System (FCIS), Islamic University in Madinah (IUM), Saudi Arabia, since 2016. He has published more than 70 papers in international conferences and journals, including a registered Patent. He has more than 1200 citations of his work. The cumulative Impact Factor of his publication is 57.17 to date. He has completed six funded research projects since 2015 worth SAR 250,000 and further applied for 0.1 million SAR research funds as the PI and CO-PI. He received awards related to research, teaching, academic advising, and contribution towards ABET accreditation in his current tenure at Islamic University. He has also contributed to designing and establishing the MS Security Technology program at Islamic University.
During his pedagogical journey before joining Islamic University, he has won several awards and achievements, including the Foreign Ph.D. Scholarship worth approximately $ 85,000 in 2007, the Associate Fellowship of Higher Education Academy (AFHEA), U.K.,in 2009, the 5th HEC Outstanding Research Award 2013/14, and the Best Paper and Best Track Paper Award in the ICICTT 2013 and ICEET 2016 conferences, respectively. He also received the Best Academic Advisor and the Best Researcher Award from FCIS, IUM, in 2018. He received the Nishane-Imtiaz for his outstanding research from FUUAST Pakistan, in 2016.
He has fifteen years of teaching experience at the university level. He joins FUUAST as a lecturer in 2005, got promoted to Assistant professor in 2010. He served as Head of Postgraduate Programs for two years and the Head of Department of Computer Science for 1.5 years. He has taught a number of courses at BS, Masters, and Ph.D. levels. He has supervised six Masters and four Ph.D. students as Principle and Co-Supervisor including one Ph.D. student in progress. He received his bachelor’s degree BSc and master’s degree MCS in computer science, both from the Faculty of Science, the University of Karachi with first division.
Dr Adnan’s principal research interest includes IoT, wireless sensor, and body area sensor networks applied to healthcare, agriculture, elderly, and disability assistant. He has proposed various solutions for network layer security attacks by IDS, IPS, QoS, and reliability issues of Mobile Ad Hoc and sensors Networks. Currently, he is focusing on investigating & providing solutions for real community problems through modeling and assistive technology. He also working on projects on emerging technologies such as Blockchain & IoT challenges and applications. He has presented his research and tutorials in several international conferences and seminars both as the guest speaker and author including IEEE WCNC, IEEE ICUMT, IEEE INMIC, ICON etc. He is a member of the IEEE and Communication Society. He is also serving as an editorial member of international journals, conference session chair, and organizing international conferences.
Internet of Things (IoT) applied to Healthcare, Smart Cities, Agriculture; Security; Intrusion Detection & Response Systems; Machine Learning; BlockChain Technology; Wireless and Body Area Sensor Networks; QoS; Reliability; Security of Mobile Ad Hoc Networks Applications; Modelling & Assistive Technology Applications;
A positive attitude causes a chain reaction of positive thoughts, events and outcomes. It is a catalyst and it sparks extraordinary results
People grow through experience if they meet life honestly and courageously. This is how character is built.
International Islamic University of Madinah, Kingdom of Saudi Arabia.
Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan.Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan.Responsibilities:Conducted theory and lab classes at undergraduate and graduate level related to Computer Networks, Data Structure, Software Engineering, Programming Languages, Network Security, Algorithm Analysis etc.
Institute of Business Administration Sukkur, Sindh, Pakistan.
Usman Insitute of Technology UIT, Hamdard University,Karachi, Pakistan.
University of Surrey, Guildford, United Kingdom.Time passes faster and faster, but with every project I always want to find the next challenge and the next challenge is just as exciting as the previous one
International Academics:
Dr Michael Howarth (University of Surrey, UK), Prof George Pavlou (UCL, UK), Dr Ning Wang (University of Surrey, UK), Dr Qammar Abbasi (James Watt School of Engineering, University of Glasgow, UK), Dr Nadeem Mehmood (University of Karachi , Pakistan), Dr Amjad Pervaiz (SARC, Pakistan), Dr Kamran Arshad (University of Greenwich, UK), Dr. Soamsiri Chantaraskul (Mongkut's University of Technology , Thailand ), Dr Kamran Ahsan (FUUAST, Pakistan), Dr Kashif Rizwan (FUUAST, Pakistan)
International Organizations:
Department of Lost & Found, Masjid e Nabvi ( Madinah Pollice,KSA), Department of Traffic (KSA), Ministry of Interior, KSA, University of Karachi, Edhi Foundation, Darul Sukun (Elderly Home), Pakistan, PARC, Agriculture Research Sindh Pakistan, Artificial Blockchain Automations, UK.
Creativity is putting your imagination to work, and it's produced the most extraordinary results in human culture
Azfar S., A.Nadeem , Basit A., “Pest detection and control techniques using wireless sensor networks : A review”, published in Journal of Entomology and Zoology studies, Vol.3, No.2, April 2015, pp 92-99.
T. A. Syed, M. S. Siddique, A. Nadeem, A. Alzahrani, S. Jan and M. A. K. Khattak, "A Novel Blockchain-Based Framework for Vehicle Life Cycle Tracking: An End-to-End Solution," in IEEE Access, vol. 8, pp. 111042-111063, 2020, doi: 10.1109/ACCESS.2020.3002170.
K. Rizwan, A. Nadeem, N.Mehmood ,K.Ahsan “A Case Study of remote monitoring and its integration with emergency services”, accept for publication in 1st International Conference on Emerging Trends and Innovation in Commputing & Technology, 2016.
A.Nadeem. Howarth M., “Protection of MANETs from a range of attacks using an intrusion detection and prevention system”, published in Springer Special issue on Mobile Computing technologies of Telecommunication System Journal, Vol. 52, No.4, 2012, pp 20147-2058,
A.Nadeem and M.Howarth, “A Generalized Intrusion Detection & Prevention Mechanism for Securing MANETs”, Proceeding of IEEE 5th International Conference on Ultra Modern Telecommunications & workshops (ICUMT 09), St Petersburg Russia, Pages 1 -6, October 2009
A.Nadeem. Howarth M., An Intrusion Detection & Adaptive Response Mechanism for MANETs”, published in Elsevier Ad Hoc Networks Journal, Vol .13, 2013, pp 368-380.
A.Nadeem, Howarth M., “A Survey of MANET Intrusion Detection & Prevention Approaches for Network Layer Attacks", published in IEEE Communication Society Journal of Communication Survey and Tutorial, Vol .15, No.4 , pp 2027-2045.
The whole purpose of education is to turn mirrors into windows
Wireless Networks and Security
MCS Computer Science DepartmentComputer Science, Maths, Statistics
Associate Fellow of Higher Education Academy, United Kingdom (FHEA) I hope I raised more questions than I have given answers
Do the thing you're good at. Not many people are lucky enough to be so good at something
Research is creating new knowledge
Higher Education Commission, Islamabad, Pakistan. 
Center for Communication Systems Research (CCSR), University of Surrey Guildford, United Kingdom. 
Department of Computer Science FUUAST , Karachi, Pakistan.I have completed multiple research projects, including, Adaptive Intrusion Detection and Response Mechanism for Mobile Ad Hoc Applications, remote vital sign monitoring & assistance of patients using BASN, Provision of Security, reliability and QoS in BASN applied to healthcare applications. He has proposed various solutions for network layer security attacks by IDS, IPS, QoS and reliability issues of Mobile Ad Hoc and sensors Networks. Currently he is focusing on investigating & providing solutions for real community problems through modeling and assistive technology. He also working on project on emerging technologies such as Blockchain challenges and applications. He has published over 55 peer review papers in international journal and conferences including a patent submission. Total Impact Factor of his publications is 33.30. He has also presented his research and tutorials in several international conference and seminars including IEEE WCNC, IEEE ICUMT, IEEE INMIC etc. Current Impact Factor of my publications is 33.30 (Research Gate: http://www.researchgate.net/profile/Adnan_Nadeem2). My research work has been cited more than 920 times see google scholar: (https://scholar.google.com.pk/citations?user=9fXG_OkAAAAJ&hl=en ). APatent accepted and sealed by the Government of Pakistan, in 2019.
PhD Supervision
| S.No | Name | Thesis title | Status |
| 1 | Dr Amir Mehmood | Self-organized applications of Body Area Sensor in healthcare | Completed in 2020 |
| 2 | Dr Azhar Hussain | Assisting Disabled & Elder Person by Exploiting Mobile Technology & Ubiquitous Computing | Completed in 2020 |
| 3 | Dr Sarwat Iqbal | Context Aware Assistive Technology for Elderly using Mobile Technology | Completed in 2020 |
| 4 | Mr Saeed Azfar | Monitoring & Detection of Cotton Crop Insects and related Disease using WSN & IoT | In Progress |
MS Supervision:
| S.No | Name | Thesis title | University |
| 5 | George Marinos | enial of Service Attack detection in DSR routing protocol in MANETs | MSc (University of Surrey, United Kingdom) |
| 6 | Yu Li | Analysis of Routing protocols for Delay Tolerant Networks | MSc (University of Surrey, United Kingdom) |
| 7 | Abdul Salam | A Class based Quality of Services Model for Body Area Sensor Networks | MS (FUUAST, Pakistan) |
| 8 | Obaid Khan | RPRP: Routing Protocol to Ensure the Reliability in Health Care System | MS (FUUAST, Pakistan) |
| 9 | Anis Ahmed | Sybil Attack Detection in Mobile Ad Hoc Networks (In complete) | MS (FUUAST, Pakistan) |
| 10 | M.Amir Nisar | Performance Analysis of Mobility models of MANETs and VANETs | MS (FUUAST, Pakistan) |
Life is 10% what happens to you and 90% how you react to it. Read more at:
SMotionDataSet: Published by Harvard Dataverse (Download -> Dataset:)
Abstract: The dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal inertial measurement wearable shimmer sensors.
| Data Set Characteristics: | Multivariate, Time-Series | Number of Instances: | 114 | Area: | Computer |
| Attribute Characteristics: | Real | Number of Attributes: | 14 | Date updated | 2019-04-20 |
| Associated Tasks: | Classification
Pattern analysis |
Source:
Dar ul Sukoon, Elderly Care Home, Karachi
EDHI Foundation Old age home, Karachi
Department of Special Education, University of Karachi
Department of Computer Science ,Federal Urdu University of science Art and Technology
Email to whom correspondence should be addressed: adnan.nadeem@iu.edu.sa
Data Set Information:
The dataset comprises body motion recordings for several volunteers of diverse profile while performing certain physical activities. Sensors placed on the subject's waist is used to measure the motion experienced by diverse body parts, namely, acceleration and rate of turn. Data is divided into five age and weight groups categories.
| S. No. | Age Groups | Male | Female | Total |
| 1 | 41 – 50 yrs. | 3 | 3 | 6 |
| 2 | 51 – 60 yrs. | 33 | 30 | 63 |
| 3 | 61 – 70 yrs. | 13 | 6 | 19 |
| 4 | 71 – 80 yrs. | 13 | 3 | 16 |
| 5 | >80 yrs. | 5 | 5 | 10 |
| Total | 67 | 47 | 114 | |
See the db file with groups
Activities: 3
Sensor devices: 1
Subjects: varies
The collected dataset comprises body motion and vital signs recordings for several volunteers of diverse profile while performing 3physical activities (Table 1). Shimmer3 wearable sensors were used for the recordings. The sensors were respectively placed on the subject's waist attached by using elastic straps (as shown in the figure in attachment). The use of multiple sensors permits us to measure the motion experienced by diverse body parts, namely, the acceleration, the rate of turn, thus better capturing the body dynamics. All sensing modalities are recorded at a sampling rate of 50 Hz(normal range), which is considered sufficient for capturing human activity. few session was recorded using a video camera. The activities were collected in an out-of-lab environment with no constraints on the way these must be executed, with the exception that the subject should try their best when executing them.
The activity set is listed in the following:
L1: Standing still (5sec)
L4: Walking (1 min)
L11: Stand to Sitting (3 steps) (time varies)
NOTE: In brackets are the number of repetitions (Nx) or the duration of the exercises (min).
A complete and illustrated description (including table of activities, sensor setup, etc.) of the dataset is provided in the papers presented in the presentation section.
The data collected for each subject is stored in a different log file: 'shimmer XXX.xls'(XXX will be number between 001 to 999). Each file contains the samples (by rows) recorded for all sensors (by columns). The labels used to identify the activities are similar to the abovementioned (e.g., the label for walking is '4').
The meaning of each column is detailed next:
Column 1: Time stamp raw
Column 2: Time stamp in millisecond
Column 3: acceleration raw (X axis)
Column 4: Acceleration cal (X axis)
Column 5: acceleration raw (Y axis)
Column 6: Acceleration cal (Y axis)
Column 7: : acceleration raw (Z axis)
Column 8: Acceleration cal (Z axis)
Column 9: gyro raw (X axis)
Column 10: gyro cal (X axis)
Column 11: gyro raw (Y axis)
Column 12: gyro cal (Y axis)
Column 13: gyro raw (Z axis)
Column 14: gyro cal (Z axis)
*Units: Acceleration (m/s^2), gyroscope (deg/s).
Use of this dataset in publications must be acknowledged by referencing the following :
A.Nadeem, K. Rizwan and N.Mehmood, "SMotion dataset', developed under the project of fall detection system for elderly, available at http://adnan-nadeem.com/data-repository/.
We would appreciate if you send us an email (adnan.nadeem at fuuast dot edu dot pk) to inform us of any publication using this dataset.
