Ali Gohar

Overingeniør

Ali Gohar

Kontakt

E-post: ali.gohar@uis.no

Rom: KE D-425

Avdeling

Det teknisk-naturvitenskapelige fakultet

Institutt for data- og elektroteknologi

Laboratorium IDE

Kort om meg

Jeg er Ali Gohar, og jobber for tiden som overingeniør ved Institutt for data- og elektroteknologi (IDE) ved Universitetet i Stavanger (UiS), Norge.

Forskningen min fokuserer på å bruke kunstig intelligens (KI), spesielt dyp forsterkningslæring, for å skape autonome systemer med mål om å oppnå en rekke mål.

Forsknings interesser:

  • Kommunikasjonsnettverk 5G og 6G
  • Matematisk modellering av kommunikasjonsnettverk
  • Ressurs allokering og optimalisering
  • Utvikling av autonome algoritmer og systemer
  • Deep Reinforcement Learning

Veiledet masteroppgave: 

I UiS har jeg veiledet følgende masteroppgave ved IDE:

  1. Security-aware Resource Allocation for Space-Air-Ground Integrated Network using Deep Reinforcement Learning.
    • Av Fredrik Netteland i 2023. Jobber nå som Konsulent i Bouvet ASA
  2. Resource Allocation for Vertical Industries in a Smart City Using Deep Reinforcement Learning
    • Av Brage Riis Gundersen i 2023. Jobber nå som Cloud Engineer i Sopra Steria SA
  3. Allocating Network Services in Space Air Ground Integrated Networks with Federated Deep Reinforcement Learning.
    • Av Benjamin Mydland i 2024, jobber nå som Network Support Engineer i Marlink AS.

Arbeidserfaring:

  • Overingeniør   - Institutt for data og elektroteknologi ved Universitetet i Stavanger, Norge. (Aug 2023 - Present)
  • Stipendiat  - Smart Sustainable Cities, Universitetet i Stavanger, Norge. (Aug 2019 - Aug 2023)
  • Forskningsassistent  - Network Application Laboratory, Kookmin University, Sør-Korea. (Mar 2017 - Aug 2019)

Utdannelse:

  • PhD -  Information Technology, Universitetet i Stavanger, Norge. (2019 - 2024)
  • MS  -  Computer Science, Kookmin University, Sør-Korea. (2017 - 2019) 
  • BS   - Telekommunikasjon, COMSATS University Islamabad, Pakistan. (2011-2014)

Trainings and Certifications:

  • NyTi , Universitetet i Stavanger, Norge. - Ferdigbevis for ansatte som skal undervise ved Universitetet i Stavanger. (May 2022)
  • Cisco Certified Network Associate (CCNA),  COMSATS University Islamabad, Pakistan. (Feb 2015)

 

Følg meg på nett

LinkedIn

Publikasjoner

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.