Ali Gohar | Universitetet i Stavanger

Kontakt

E-post: ali.gohar@uis.no

Rom: KE D-425

Organisasjonsenhet

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:

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
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
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 - Present)
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

Publikasjoner

Tilbake

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.
- 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.
Kunstnerisk produksjon
Kommersialisering