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Bilde av Sekh, Arif Ahmed
Bilde av Sekh, Arif Ahmed
Researcher Department of Computer Science arif.a.sekh@uit.no You can find me here

Arif Ahmed Sekh

Job description

Arif Ahmed is a Researcher in BioAI lab located in UiT The Arctic University of Norway. Previously he was an Assistant Professor at the School of Computer Science and Engineering, XIM University, Bhubaneswar, India (2021-2024). Before that, he was Post-doctoral Research Fellow in the Department of Physics and Technology at the UiT The Arctic University of Norway, TromsØ, Norway (2019-2021). From 2009 to 2019, he was an Assistant Professor of Computer Application at Haldia Institute of Technology, India. 
He is a Senior Member of IEEE and a Member of Digital Life Norway (DLN).

  • Jonathan Hira, Bhupender Singh, Tirthankar Halder, Anel Mahmutovic, Clément Ajayi, Arif Ahmed Sekh et al.:
    Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities
    Communications Biology 2024 ARKIV / DOI
  • Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh :
    Rumor detection using dual embeddings and text-based graph convolutional network
    Discover Artificial Intelligence 2024 DOI
  • Himanshu Singh, Arif Ahmed Sekh, Frank Melandsø, Anowarul Habib :
    Ultrasonic image denoising using machine learning in point contact excitation and detection method
    Ultrasonics 2022 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
    Biomedical Optics Express 2022 ARKIV / DOI
  • Soumyadeep Samonto, Samarjit Kar, Sagarika Pal, Arif Ahmed Sekh, Oscar Castillo, Gyei-Kark Park :
    Best fit membership function for designing fuzzy logic controller aided intelligent overcurrent fault protection scheme
    International Transactions on Electrical Energy Systems 2021 DOI
  • S.W Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making
    SN Computer Science 2021 ARKIV / DOI
  • Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    Topic-based Video Analysis: A Survey
    ACM Computing Surveys 2021 FULLTEKST / ARKIV / DOI
  • Q.E. Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling
    Springer 2021 DOI
  • Bidyut Das, Arif Ahmed Sekh, Mukta Majumder, Santanu Phadikar :
    Can deep learning solve a preschool image understanding problem?
    Neural Computing & Applications 2021 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Physics-based machine learning for subcellular segmentation in living cells
    Nature Machine Intelligence 2021 ARKIV / DOI
  • Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    Emotionally charged text classification with deep learning and sentiment semantic
    Neural Computing & Applications 2021 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Digital Staining of Mitochondria in Label-free Live-cell Microscopy
    Springer 2021 DOI
  • Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh :
    Automatic question generation and answer assessment: a survey
    Research and Practice in Technology Enhanced Learning (RPTL) 2021 ARKIV / DOI
  • Sk Maidul Islam, Subhankar Joardar, Debi Prosad Dogra, Arif Ahmed Sekh :
    Ornament Image Retrieval Using Multimodal Fusion
    SN Computer Science 2021 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning nanoscale motion patterns of vesicles in living cells
    IEEE (Institute of Electrical and Electronics Engineers) 2020 ARKIV / DOI
  • Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad :
    RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system
    Neural Computing & Applications 2020 ARKIV / DOI
  • Sourav Mondal, Arif Ahmed Sekh, Sudip Kumar Naskar :
    Solving Arithmetic Word Problems: A Deep Learning Based Approach
    Journal of Intelligent & Fuzzy Systems 31. August 2020 DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Samarjit Kar, Partha Pratim Roy :
    Video trajectory analysis using unsupervised clustering and multi-criteria ranking
    Soft Computing - A Fusion of Foundations, Methodologies and Applications 13. May 2020 ARKIV / DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    Can We Automate Diagrammatic Reasoning?
    Pattern Recognition 2020 ARKIV / DOI
  • Soumyadeep Samonto, Samarjit Kar, Sagarika Pal, Arif Ahmed Sekh :
    Fuzzy logic based multistage relaying model for cascaded intelligent fault protection scheme
    Electric power systems research 2020 DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim :
    Person re-identification in videos by analyzing spatio-temporal tubes
    Multimedia Tools and Applications 23. June 2020 ARKIV / DOI
  • Maji Debasis, Arif Ahmed Sekh :
    Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis
    Journal of Medical Systems 01. September 2020 ARKIV / DOI
  • Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad :
    Neural Network Based Country Wise Risk Prediction of COVID-19
    Applied Sciences 2020 ARKIV / DOI
  • Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification
    Cognitive Systems Research 2020 ARKIV / DOI
  • Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh :
    Automatic generation of fill-in-the-blank question with corpus-based distractors for e-assessment to enhance learning
    Computer Applications in Engineering Education 2019 ARKIV / DOI
  • Ida Sundvor Opstad, Gustav Godtliebsen, Arif Ahmed Sekh :
    Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells
    2021 DATA
  • Eshan Samanta, Arif Ahmed Sekh, Debnarayan Khatua :
    An Expert System-Based Automation in Indian Traction System for a One Way Single Platform Station by Introducing PLC
    IGI Global 2020 DOI
  • Arif Ahmed Sekh :
    Dynamic predictive neural network for COVID-19 outbreak prediction
    2020
  • Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad :
    Data-intelligence for microscopy data
    2020
  • Arif Ahmed Sekh :
    Open Source Tools for Machine Learning Researchers
    2020
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa B. Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning Nanoscale Motion Patterns of Vesicles in Living Cells
    2020 ARKIV

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