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 am Ali Gohar, currently working as an Overingeniør (Head Engineer) at the department of electrical engineering and computer science at the University of Stavanger (UiS), NorwayOveringeniør (Head Engineer) at the department of electrical engineering and computer science at the University of Stavanger (UiS), Norway . 
My research focuses on using artificial intelligence, specifically deep reinforcement learning, to create autonomous systems with the goal of achieving a variety of objectives.

Education:

  • MS Computer Science, Kookmin University, South Korea. (Feb 2019) 
  • BS Telecommunication, COMSATS University Islamabad, Pakistan. (Mar 2015)

Experience:

  • Lab manager, Department of electrical engineering and computer science, University of Stavanger, Norway. (Jun 2021 - Dec 2022)
  • Research fellow, Smart sustainable cities, University of Stavanger, Norway. (Aug 2019 - Aug 2023)
  • Research assistant, Network Application Laboratory, Kookmin University, South Korea. (Mar 2017 - Aug 2019)

Trainings and Certifications:

  • NyTi , University of Stavanger - Certificate of completion for employees who will be teaching at the University of Stavanger. (May 2022)
  • Cisco Certified Network Associate (CCNA),  COMSATS Institute of Information Technology (Feb 2015)

Currently, my research focuses on:   

  • Autonomous systems
  • Mathematical modeling
  • Deep reinforcement learning

 

Follow me online

LinkedIn

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.