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Research Intersets
Qualifications
Publications
Conferences and Workshops
Dr. Issa Hani Rezq Allah Qiqieh
ASSISTANT PROFESSOR
FACULTY OF ENGINEERING
https://www.bau.edu.jo/@i.qiqieh
 Major: Electrical Engineering
 Minor: Computer Engineering
 i.qiqieh@bau.edu.jo
 0000
ORCID ID: 0000-0003-1178-6478
WoS: https://mjl.clarivate.com/home
Scopus Author ID: 57194457824
Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57194457824
Researcher ID: 89847
Google Scholar: https://scholar.google.com/citations?hl=en&user=lMauxX4AAAAJ

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Issa Qiqieh is currently an assistant professor at Al-Balqa Applied University, Jordan. He received his Ph.D. in computer and electrical engineering from the School of Engineering, Newcastle University, Newcastle upon Tyne ? UK (2018), and his M.Sc. (with distinction) and B.Sc. degrees from Hijjawi Faculty of Engineering Technology, Yarmouk University ? Jordan, in 2007&2005, respectively. He is currently working as a full-time lecturer in the Faculty of Engineering at Al-Balqa Applied University since 2007 till now. He is also the author/co-author of 15+ IEEE/ACM/Elsevier journal and conference articles.

Research Intersets:
His research interests include multi and interdisciplinary environments involving approximate, power-adaptive, energy-efficient computing, and research solutions in machine learning and cyber security.

Qualifications
# Degree University Specialization Graduation year
1PHDNewcastle UniversityComputer Engineering2018
2MASTER DEGREEYarmouk UniversityComputer Engineering2007
3BACHELOR'S DEGREEYarmouk UniversityComputer Engineering2005

Publications
1- An Intelligent Cyber Threat Detection: A Swarm-Optimized Machine Learning ,Alexandria Engineering Journal, 2024,Vol. ,no. .
2- DNA Cryptography Based Security Framework for Health-cloud Data ,Computing, 2024,Vol. 107,no. 1.
3- An IoT Intrusion Detection Approach Based on Salp Swarm and Artificial Neural Network ,International Journal of Network Management, 2024,Vol. 35,no. 1.
4- A Blended Deep Learning Intrusion Detection Framework For Consumable Edge-Centric IoMT Industry , IEEE Transactions on Consumer Electronics, 2024,Vol. 70,no. 1.
5- Battery management solutions for li-ion batteries based on artificial intelligence ,Ain Shams Engineering Journal, 2023,Vol. 14,no. 12.
6- Design of cost-based sizing and energy management framework for standalone microgrid using reinforcement learning ,Solar Energy, 2023,Vol. 251,no. 1.
7- Machine learning techniques for automated policy violation reporting ,International Journal of Internet Technology and Secured Transactions, 2022,Vol. 12,no. 5.
8- Optimized Machine Learning-Based Intrusion Detection System for Fog and Edge Computing Environment ,Electronics, 2022,Vol. 11,no. 1.
9- Fusion of deep learning based cyberattack detection and classification model for intelligent systems ,Cluster Computing, 2022,Vol. 26,no. 2.
10- Run-time Configurable Approximate Multiplier using Significance-Driven Logic Compression ,2021 IEEE 39th International Conference on Computer Design (ICCD), 2021,Vol. ,no. .
11- An optimal pruning algorithm of classifier ensembles: dynamic programming approach , Neural Computing and Applications, 2020,Vol. 32,no. .
12- Hashed Needham Schroeder Industrial IoT based Cost Optimized Deep Secured data transmission in cloud ,Measurement, 2019,Vol. 150,no. .
13- An Integrated Framework for Sizing and Energy Management of Hybrid Energy Systems Using Finite Automata ,Applied Energy, 2019,Vol. 250,no. .
14- Significance-Driven Logic Compression for Energy-Efficient Multiplier Design ,IEEE Journal on Emerging and Selected Topics in Circuits and Systems , 2018,Vol. 8,no. 3.
15- Configurable-accuracy approximate adder design with light-weight fast convergence error recovery circuit ,IEEE 39th International Conference on Computer Design (ICCD), 2018,Vol. ,no. .
16- Approximate adder segmentation technique and significance-driven error correction ,2017 27th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2017,Vol. ,no. .
17- Energy-efficient approximate wallace-tree multiplier using significance-driven logic compression ,IEEE International Workshop on Signal Processing Systems (SiPS), 2017,Vol. ,no. .
18- Special session paper: significance-driven adaptive approximate computing for energy-efficient image processing applications , 2017 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2017,Vol. ,no. .
19- Energy-efficient approximate multiplier design using bit significance-driven logic compression ,Design, Automation and Test in Europe Conference and Exhibition, 2017,Vol. ,no. .

Conferences and Workshops
# Conference/Workshop Name Conference/Workshop Place Conference/Workshop Date
1IEEE 39th International Conference on Computer Design (ICCD)United States of America2021/10
2International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS)South Korea2017/10
3IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)Jordan2017/10
4IEEE International Workshop on Signal Processing Systems (SiPS)France2017/10
527th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS)Greece2017/09
6Design, Automation & Test in Europe Conference & Exhibition (DATE)Switzerland2017/03


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