Ali Gohar

Head Engineer

Ali Gohar

Contact

Email: ali.gohar@uis.no

Room: KE D-425

Department

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

Laboratory IDE

About me

I'm am Ali Gohar, a Head Engineer at the Department of Electrical Engineering and Computer Science (IDE) at the University of Stavanger (UiS), Norway. 

I hold a Ph.D. in Computer Science. My research focuses on using Artificial Intelligence (AI), specifically Deep Reinforcement Learning (DRL), to create autonomous algorithms with the goal of achieving a variety of objectives. 

Research Interests:    

  • Communication Networks 5G and 6G
  • Mathematical Modeling for Communication Networks
  • Resource Allocation and Optimization
  • Developing Autonomous Algorithms and Systems
  • Security, IoT, AI, DRL
     

Master Thesis Supervised

At UiS, I have supervised the following master's thesis at IDE:

  1. Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning
    • By Fredrik Netteland, 2023. Now works as a Consultant at Bouvet ASA.
  2. Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning
    • By Brage Riis Gundersen, 2023. Now works as Cloud Engineer at Sopra Steria SA.
  3. Allocating Network Services in Space Air Ground Integrated Networks with Federated Deep Reinforcement Learning
    • Benjamin Mydland, 2024. Now works as Network Support Engineer at Marlink AS.
  4. Dynamic Network Service Allocation in Space-Air-Ground Integrated Networks Using Deep Reinforcement Learning
    • By Marius Bjørnøy, 2025, Now works as Backend Developer at Itera ASA.

Experience: 

  • 2023 -           || Head Engineer - Department of Electrical Engineering and Computer Science, University of Stavanger, Norway.
  • 2019 - 2023  || Research Fellow - Smart Sustainable Cities, University of Stavanger, Norway.
  • 2017 - 2019   || Research Assistant - Network Application Laboratory, Kookmin University, South Korea. 

Education: 

  • 2019 - 2024  || PhD -  Computer Science, University of Stavanger, Norway.
  • 2017 - 2019   || MS  -  Computer Science, Kookmin University, South Korea.  
  • 2011 - 2015   ||  BS  -  Telecommunication, COMSATS University Islamabad, Pakistan. 

Pedagogical training certifications from UniPed at the University of Stavanger:

  • May 2025 || Challenge Based Learning
  • Mar 2025  || Supervision in Higher Education
  • Feb 2025  || AI in Education
  • Jan 2025  || Constructive Alignment and Digital Course Design
  • Dec 2024 || Intercultural Competence for Teachers in Higher Education
  • May 2022 || NyTi, Certificate of completion for employees who will be teaching at the University of Stavanger.  

Other certifications:

  • Cisco Certified Network Associate (CCNA), COMSATS Institute of Information Technology 

Publications

Vitenskapelige publikasjoner

Ali Gohar; Gianfranco Nencioni (2024) An online cost minimization of the slice broker based on deep reinforcement learning. I: Computer Networks. ISSN 1389-1286. Volum 241. DOI: 10.1016/j.comnet.2024.110198

Ali Gohar; Gianfranco Nencioni; Chunming Rong (2024) Resource Allocation for Network Service Delivery in Mobile Networks. University of Stavanger. ISBN 9788284392875.

Ali Gohar; Chunming Rong; Sanghwan Lee (2023) An isolation-aware online virtual network embedding via deep reinforcement learning. I: Lorenzo Carnevale; İlkay Altıntaş; Yogesh Simmhan; Pavan Balaji; Abhinandan S. Prasad; Ana-Lucia Varbanescu, 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW 2023). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9798350302080. s.89-95. DOI: 10.1109/CCGridW59191.2023.00028

Ali Gohar; Gianfranco Nencioni (2021) The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System. I: Sustainability. Online ISSN 2071-1050. Volum 13. DOI: 10.3390/su13095188

Ali Gohar; Gianfranco Nencioni (2021) Minimizing the cost of 5G network slice broker. I: Jie Li; Alfredo Grieco; Ruidong Li, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781665447140. DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484590

Ali Gohar; Sanghwan Lee (2020) Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking. I: Applied Sciences. Online ISSN 2076-3417. Volum 10. DOI: 10.3390/app10217691

Ali Gohar; Sanghwan Lee (2020) A cost efficient multi remote driver selection for remote operated vehicles. I: Computer Networks. ISSN 1389-1286. Volum 168. DOI: 10.1016/j.comnet.2019.107029

Ali Gohar; Ali Raza; Sanghwan Lee (2019) Dynamic Adaptive Streaming Over HTTP Using Scalable Video Coding with Multipath TCP in SDN. I: Chong-Kwon Kim; Katsuyoshi Iida; Hyungkeun Lee, 2019 International Conference on Information Networking (ICOIN). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538683507. DOI: 10.1109/ICOIN.2019.8718153

Ali Gohar; Ali Raza; Sanghwan Lee (2018) A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover. I: Young-min You; Chung Gu Kang; Dae Hee Youn, 2018 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538650400. DOI: 10.1109/ICTC.2018.8539583

Ali Gohar; Sanghwan Lee (2018) A fast remote driver selection mechanism for remote-controlled driving systems. I: Kwangsue Chung; Katsuyoshi Iida; Myungsik Yoo, 2018 International Conference on Information Networking (ICOIN). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781538622896. DOI: 10.1109/ICOIN.2018.8343253

Ali Raza; Ali Gohar; Sanghwan Lee (2017) MPTCP based in-band controlling for the software defined networks. I: Youze Cho; Kyung Sup Kwak; Dae Hee Youn, 2017 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (Institute of Electrical and Electronics Engineers). ISBN 9781509040315. DOI: 10.1109/ICTC.2017.8190965

Bøker og kapitler

Benjamin Mydland; Ali Gohar (2024) Allocating Network Services in Space Air Ground Integrated Networks with Federated Deep Reinforcement Learning. Universitetet i Stavanger.

Fredrik Netteland; Ali Gohar (2023) Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning. Universitetet i Stavanger.

Brage Riis Gundersen; Ali Gohar (2023) Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning. Universitetet i Stavanger.

Formidling

Ali Gohar; Chunming Rong; Sanghwan Lee (2023) An Isolation-aware Online Virtual Network Embedding via Deep Reinforcement Learning. 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops; 2023-05-01 - 2023-05-05. DOI: 10.1109/CCGridW59191.2023.00028

Ali Gohar (2020) Smart City and The Dilemma of Autonomous Vehicles – Is remote driving the solution?. Nordic Edge Expo 2020; 2020-09-24 - 2020-09-26.

Ali Gohar (2020) The role of 5G & AI in enhancing the safety & security of smart cities. Nordic Edge Expo 2020; 2020-09-24 - 2020-09-26.

Source: Nasjonalt vitenarkiv