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 

Follow me online

LinkedIn
Google Scholar

Publications

Vitenskapelige publikasjoner

Gohar, Ali; Nencioni, Gianfranco

(2024)

An online cost minimization of the slice broker based on deep reinforcement learning.

Computer Networks.

ISSN 1389-1286.

Volum 241.

DOI: 10.1016/j.comnet.2024.110198

Gohar, Ali; Rong, Chunming; Lee, Sanghwan

(2023)

An isolation-aware online virtual network embedding via deep reinforcement learning. I: 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW 2023).

IEEE conference proceedings.

ISBN 9798350302080.

s.89-95.

DOI: 10.1109/CCGridW59191.2023.00028

Gohar, Ali; Nencioni, Gianfranco

(2021)

The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System.

Sustainability.

ISSN 2071-1050.

Volum 13.

Hefte 9.

DOI: 10.3390/su13095188

Gohar, Ali; Nencioni, Gianfranco

(2021)

Minimizing the cost of 5G network slice broker. I: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

IEEE conference proceedings.

ISBN 978166544714-0.

DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484590

Gohar, Ali; Lee, Sanghwan

(2020)

Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking.

Applied Sciences.

ISSN 2076-3417.

Volum 10.

Hefte 21.

DOI: 10.3390/app10217691

Gohar, Ali; Lee, Sanghwan

(2020)

A cost efficient multi remote driver selection for remote operated vehicles.

Computer Networks.

ISSN 1389-1286.

Volum 168.

DOI: 10.1016/j.comnet.2019.107029

Gohar, Ali; Raza, Ali; Lee, Sanghwan

(2019)

Dynamic Adaptive Streaming Over HTTP Using Scalable Video Coding with Multipath TCP in SDN. I: 2019 International Conference on Information Networking (ICOIN).

IEEE conference proceedings.

ISBN 978-1-5386-8350-7.

DOI: 10.1109/ICOIN.2019.8718153

Gohar, Ali; Raza, Ali; Lee, Sanghwan

(2018)

A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover. I: 2018 International Conference on Information and Communication Technology Convergence (ICTC).

IEEE conference proceedings.

ISBN 978-1-5386-5040-0.

DOI: 10.1109/ICTC.2018.8539583

Gohar, Ali; Lee, Sanghwan

(2018)

A fast remote driver selection mechanism for remote-controlled driving systems. I: 2018 International Conference on Information Networking (ICOIN).

IEEE conference proceedings.

ISBN 978-1-5386-2289-6.

DOI: 10.1109/ICOIN.2018.8343253

Raza, Ali; Gohar, Ali; Lee, Sanghwan

(2017)

MPTCP based in-band controlling for the software defined networks. I: 2017 International Conference on Information and Communication Technology Convergence (ICTC).

IEEE conference proceedings.

ISBN 978-1-5090-4031-5.

DOI: 10.1109/ICTC.2017.8190965

Bøker og kapitler

Mydland, Benjamin

(2024)

Allocating Network Services in Space Air Ground Integrated Networks with Federated Deep Reinforcement Learning.

Universitetet i Stavanger.

Gohar, Ali

(2024)

Resource Allocation for Network Service Delivery in Mobile Networks.

ISBN 978-82-8439-287-5.

Hefte 799.

Riis Gundersen, Brage

(2023)

Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning.

Universitetet i Stavanger.

Netteland, Fredrik

(2023)

Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning.

Universitetet i Stavanger.

Formidling

Gohar, Ali; Rong, Chunming; Lee, Sanghwan

(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.

Gohar, Ali

(2020)

Smart City and The Dilemma of Autonomous Vehicles – Is remote driving the solution? .

Nordic Edge Expo 2020;

2020-09-24 - 2020-09-26.

Gohar, Ali

(2020)

The role of 5G & AI in enhancing the safety & security of smart cities.

Nordic Edge Expo 2020;

2020-09-24 - 2020-09-26.