Anis Ur Rahman

About Anis Ur Rahman

Anis Ur Rahman, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at National University of Sciences and Technology, specializes in the field of Internet of Things, Computational Modeling, Intelligent Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating joint species distribution modeling with Hmsc-HPC: A 1000x faster GPU deployment

Mapping smart farming: Addressing agricultural challenges in data-driven era

Predicting device anomalous condition in a collaborated industrial environment

Prototype biodiversity digital twin: Real-time bird monitoring with citizen science data

A novel framework for studying the business impact of ransomware on connected vehicles

Task offloading using multi-armed bandit optimization in autonomous mobile robots

Saliency prediction in uncategorized videos based on audio-visual correlation

Enhancing anomaly detection in agriculture by considering the impact of concept drift: An exploratory study using digital replica

Anis Ur Rahman Information

University

Position

Assistant Professor, NUST-SEECS

Citations(all)

888

Citations(since 2020)

761

Cited By

297

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

23

Email

University Profile Page

National University of Sciences and Technology

Google Scholar

View Google Scholar Profile

Anis Ur Rahman Skills & Research Interests

Internet of Things

Computational Modeling

Intelligent Systems

Top articles of Anis Ur Rahman

Title

Journal

Author(s)

Publication Date

Accelerating joint species distribution modeling with Hmsc-HPC: A 1000x faster GPU deployment

bioRxiv

Anis Ur Rahman

Gleb Tikhonov

Jari Oksanen

Tuomas Rossi

Otso Ovaskainen

2024

Mapping smart farming: Addressing agricultural challenges in data-driven era

Renewable and Sustainable Energy Reviews

Dongyang Huo

Asad Waqar Malik

Sri Devi Ravana

Anis Ur Rahman

Ismail Ahmedy

2024/1

Predicting device anomalous condition in a collaborated industrial environment

IEEE Transactions on Industrial Informatics

Unaiza Alvi

Asad Waqar Malik

Anis Ur Rahman

Muazzam A Khan Khattak

Samee U Khan

2023/3/29

Prototype biodiversity digital twin: Real-time bird monitoring with citizen science data

Julian Lopez Gordillo

Patrik Lauha

Ari Lehtiö

Ossi Nokelainen

Anis Ur Rahman

...

2024/4

A novel framework for studying the business impact of ransomware on connected vehicles

IEEE Internet of Things Journal

Asad Waqar Malik

Zahid Anwar

Anis Ur Rahman

2023/5

Task offloading using multi-armed bandit optimization in autonomous mobile robots

Anis Ur Rahman

Asad Waqar Malik

Hasan Ali Khattak

Moayad Aloqaily

2023/5/20

Saliency prediction in uncategorized videos based on audio-visual correlation

IEEE Access

Maryam Qamar

Suleman Qamar

Muhammad Muneeb

Sung-Ho Bae

Anis Ur Rahman

2023/2

Enhancing anomaly detection in agriculture by considering the impact of concept drift: An exploratory study using digital replica

Dongyang Huo

Asad Waqar Malik

Sri Devi Ravana

Anis Ur Rahman

Ismail Ahmedy

2023/12

Clustering-based re-routing framework for network traffic congestion avoidance on urban vehicular roads

The Journal of Supercomputing

Muhammad Ali

Asad Waqar Malik

Anis Ur Rahman

2023/12

On collective intellect for task offloading in vehicular fog paradigm

IEEE Access

Balawal Shabir

Anis Ur Rahman

Asad Waqar Malik

Muazzam Ali Khan

2022/9

Adaptive learning-based vehicle-to-vehicle opportunistic resource sharing framework

IEEE Internet of Things Journal

Arpita Chopra

Anis Ur Rahman

Asad Waqar Malik

Sri Devi Ravana

2022/7

A reliable learning based task offloading framework for vehicular edge computing

Bilawal Shabir

Asad Waqar Malik

Anis Ur Rahman

Muazzam Ali Khan

Zahid Anwar

2022/6

VDAG: A vehicle-to-vehicle opportunistic resource sharing framework for dependent tasks

Areeba Iftikhar

Asad Waqar Malik

Anis U Rahman

Samee U Khan

2022/12/19

Over-the-air software-defined vehicle updates using federated fog environment

IEEE Transactions on Network and Service Management

Asad Waqar Malik

Anis U Rahman

Arsalan Ahmad

Max Mauro Dias Santos

2022/6/8

A federated multi-agent deep reinforcement learning for vehicular fog computing

The Journal of Supercomputing

Balawal Shabir

Anis Ur Rahman

Asad Waqar Malik

Rajkumar Buyya

Muazzam Ali Khan

2022/10

SUDV: Malicious fog node management framework for software update dissemination in connected vehicles

The Journal of Supercomputing

Nadia Kalsoom

Asad Waqar Malik

Anis Ur Rahman

Muhammad Ahsan

Arsalan Ahmad

2022/9

Blockchain-enabled adaptive learning-based resource sharing framework for IIoT environment

IEEE Internet of Things Journal

Sarah Iqbal

Rafidah Md Noor

Asad Waqar Malik

Anis U Rahman

2021/4/7

Time-bound single-path opportunistic forwarding in disconnected industrial environments

Vehicular Communications

Saad Kabbaj

Anis Ur Rahman

Asad Waqar Malik

Asif Iqbal Baba

Sri Devi Ravana

2020/9

Symbiotic robotics network for efficient task offloading in smart industry

IEEE Transactions on Industrial Informatics

Asad Waqar Malik

Anis Ur Rahman

Muhammad Ali

Max Mauro Santos

2020/10/19

On-demand multi-hop forwarding for sustainable vehicular data transfer network

International Journal of Distributed Sensor Networks

Ayoub el Bendali

Anis Ur Rahman

Asad Waqar Malik

Muazzam Ali Khan

Sri Devi Ravana

2021/5

See List of Professors in Anis Ur Rahman University(National University of Sciences and Technology)

Co-Authors

H-index: 75
Samee U. Khan

Samee U. Khan

Mississippi State University

H-index: 36
Rafidah Md Noor

Rafidah Md Noor

Universiti Malaya

H-index: 28
Muhammad Moazam Fraz

Muhammad Moazam Fraz

National University of Sciences and Technology

H-index: 26
Asad Waqar Malik

Asad Waqar Malik

National University of Sciences and Technology

H-index: 23
Pellerin Denis

Pellerin Denis

Grenoble INP

H-index: 18
Prof. Max Mauro Dias Santos, Ph.D., SMIEEE

Prof. Max Mauro Dias Santos, Ph.D., SMIEEE

Universidade Tecnológica Federal do Paraná

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