{"id":6,"date":"2011-03-09T06:01:12","date_gmt":"2011-03-09T06:01:12","guid":{"rendered":"http:\/\/www.khliland.no\/wp\/?page_id=2"},"modified":"2026-04-09T11:08:03","modified_gmt":"2026-04-09T10:08:03","slug":"sample-page-2","status":"publish","type":"page","link":"https:\/\/khliland.no\/?page_id=6","title":{"rendered":"Curriculum Vitae"},"content":{"rendered":"

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Artikler (108)<\/a>
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Artikler<\/h3>\n

Fagfellevurderte journalartikler<\/p>\n

    \n
  1. Evelina Veronica Christina Berntsson, Morten Omholt Alver, Kristian Hovde Liland<\/strong> and Tor Kristian Stevik
    \n    Modeling cage-level dissolved oxygen variation within salmon farms<\/a>
    \nFrontiers in Aquaculture, section Disease and Health Management<\/em> <\/strong>, (2026), in press.<\/li>\n
  2. Bao Ngoc Huynh, Cecilia Marie Futsaether, Oliver Tomic, Kristian Hovde Liland<\/strong>, Manish Kakar, Taran Paulsen Hellebust, Eirik Malinen, Einar Dale, Karsten Ryd\u00e9n-Eilertsen
    \n    Direct integration of deep learning\u2013based GTV auto-segmentation into a clinical radiotherapy planning system<\/a>
    \nPhysics and Imaging in Radiation Oncology<\/em> <\/strong>, (2026), in press.<\/li>\n
  3. Even Gausemel, Siv Borghild Skeie, Seamus Anthony O’Mahony, Kristian Hovde Liland<\/strong>, Elling-Olav Rukke, Reidar Barfod Sch\u00fcller, and Anne-Grethe Johansen
    \n    Impact of spray drying and storage temperatures on whey protein concentrate rehydration determined using broadband acoustic resonance dissolution spectroscopy<\/a>
    \nJournal of Dairy Science<\/em> 78<\/strong>(3), (2026).<\/li>\n
  4. Greta Nardini, Kristian Hovde Liland<\/strong>, Guido F. Pauli, Sileshi Gizachew Wubshet, Alistair L. Wilkins, Frode Rise, Matthias Niemitz, Nils Kristian Afseth, and Kenneth Aase Kristoffersen,
    \n    NMR-based Quantification of Collagen Content in Protein Hydrolysates<\/a>
    \nJournal of Agricultural and Food Chemistry<\/em> 74<\/strong>(6), (2026).<\/li>\n
  5. Chandler Timm Cagmat Doloriel, Habib Ullah, Kristian Hovde Liland<\/strong>, Fadi Al Machot, and Ngai-Man Cheung,
    \n    Towards Sustainable Universal Deepfake Detection with Frequency-Domain Masking<\/a>
    \nACM Transactions on Multimedia Computing, Communications, and Applications<\/em> <\/strong>, (2026), in press.<\/li>\n
  6. Miriam Aledda, Federico Marini, Bijay Kafle, Mehmet Can Erdem, Pranish Karki, Kristian Hovde Liland<\/strong>, Boris Zimmermann, Nils Kristian Afseth, Alessandra Biancolillo, Valeria Tafintseva, Kristin T\u00f8ndel, Volha Shapaval and Achim Kohler,
    \n    Wavelength selection for laser design in mid-infrared spectroscopy<\/a>
    \nFrontiers in Photonics<\/em> 7<\/strong>, (2026).<\/li>\n
  7. Eirik Almklov Magnussen, Boris Zimmermann, Simona Dzurendova, Ondrej Slany, Valeria Tafintseva, Kristian Hovde Liland<\/strong>, Kristin To\u0337ndel, Volha Shapaval, and Achim Kohler
    \n    Calibration for Quantitative Chemical Analysis in IR Microscopic Imaging<\/a>
    \nAnalytical Chemistry<\/em> 97<\/strong>(40), (2025).<\/li>\n
  8. Nageshvar Patel, Miriam Aledda, Valeria Tafintseva, Achim Kohler, Kristian Hovde Liland<\/strong>, Tiril Aurora Lintvedt, Nils Kristian Afseth, Jens Petter Wold, Boris Zimmermann
    \n    Spatial distribution of fatty acid composition in salmon fillets<\/a>
    \nJournal of Food Composition and Analysis<\/em> 148<\/strong>(3), (2025).<\/li>\n
  9. Even Gausemel, Seamus Anthony O’Mahony, Reidar Barfod Sch\u00fcller, Kristian Hovde Liland<\/strong>, Elling-Olav Rukke, Siv Borghild Skeie, and Anne-Grethe Johansen
    \n    Impact of spray drying temperatures on whey protein concentrate particle size, particle shape and related powder physical properties<\/a>
    \nInternational Journal of Dairy Technology<\/em> 78<\/strong>(3), (2025).<\/li>\n
  10. Iver Bergh Hvidsten, Kristian Hovde Liland<\/strong>, Oliver Tomic, and Jorge Mario Marchetti
    \n    Modeling of biodiesel production using optimization designs from literature aiming at reducing the laboratory workload<\/a>
    \nFuel Processing Technology<\/em> 275<\/strong>, (2025).<\/li>\n
  11. Evelina Veronica Christina Berntsson, Tor Kristian Stevik, Asbj\u00f8rn Bergheim, David Persson, Marit Stormoen, Kristian Hovde Liland<\/strong>
    \n    Managing the Dissolved Oxygen Balance of Open Atlantic Salmon Sea Cages: A Narrative Review<\/a>
    \nReviews in Aquaculture<\/em> 17<\/strong>(1), (2025).<\/li>\n
  12. Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Kristian Hovde Liland<\/strong>, Ingerid Skjei Knudtsen, Frank Hoebers, Wouter van Elmpt, Einar Dale, Eirik Malinen, Cecilia Marie Futsaether
    \n    Deep learning with uncertainty estimation for automatic tumor segmentation in PET\/CT of head and neck cancers: Impact of model complexity, image processing and augmentation<\/a>
    \nBiomedical Physics & Engineering Express<\/em> 10<\/strong>(5), (2024).<\/li>\n
  13. Christian Bernard Holth Thorjussen, Kristian Hovde Liland<\/strong>, Ingrid M\u00e5ge, Lars Erik Solberg
    \n    Computational Test for Conditional Independence<\/a>
    \nAlgorithms<\/em> 17<\/strong>(8), (2024).<\/li>\n
  14. Yohann Jacob Sandvik, Cecilia Marie Marie Futs\u00e6ther, Kristian Hovde Liland<\/strong>, Oliver Tomic
    \n    A Comparative Literature Review of Machine Learning and Image
    \nProcessing Techniques Used for Scaling and Grading of Wood Logs<\/a>
    \nForests<\/em> 15<\/strong>(7), (2024).<\/li>\n
  15. Kristian Hovde Liland<\/strong>, Joakim Skogholt, Ulf Geir Indahl
    \n    A new formula for faster computation of the k-fold cross-validation and good regularisation parameter values in Ridge Regression<\/a>
    \nIEEE Access<\/em> 12<\/strong>, (2024).<\/li>\n
  16. Kristian Hovde Liland<\/strong>, Giorgio Luciano, Roman Svoboda
    \n    Artificial neural networks in kinetic analysis of glass crystallization: The case of complex nucleation-growth mechanisms<\/a>
    \nJournal of Non-Crystalline Solids<\/em> 626<\/strong>, (2024).<\/li>\n
  17. Puneet Mishra, Kristian Hovde Liland<\/strong>
    \n    Iterative re-weighted multilinear partial least squares modelling (irNPLS) for robust predictive modelling<\/a>
    \nJournal of Chemometrics<\/em> 38<\/strong>(1), (2024).<\/li>\n
  18. Frode Moen, Svein Arne Pettersen, Kine Gjerts\u00e5s, Marte Vatn, Martijn Ravenhorst, Atle Kv\u00e5lsvoll, Kristian Hovde Liland<\/strong>, Ellen F Mosleth
    \n    The effect of Bio-Electro-Magnetic-Energy-Regulation therapy on sleep duration and sleep quality among elite players in Norwegian women\u00b4s football<\/a>
    \nFrontiers in Psychology<\/em> 14<\/strong>, (2023).<\/li>\n
  19. Bao Ngoc Huynh, Aurora Rosvoll Grondahl, Oliver Tomic, Kristian Hovde Liland<\/strong>, Ingerid Skjei Knudtsen, Frank Hoebers, Wouter van Elmpt, Eirik Malinen, Einar Dale, Cecilia Marie Futs\u00e6ther
    \n    Head and neck cancer treatment outcome prediction: A comparison between machine learning with conventional radiomics features and deep learning radiomics<\/a>
    \nFrontiers in Medicine<\/em> 10<\/strong>, (2023). (    link to corrigendum<\/a>)<\/li>\n
  20. Joakim Skogholt, Kristian Hovde Liland<\/strong>, Tormod N\u00e6s, Age K. Smilde, Ulf G. Indahl
    \n    Selection of principal variables through a modified Gram\u2013Schmidt process with and without supervision<\/a>
    \nJournal of Chemometrics<\/em> 37<\/strong>(10), (2023).<\/li>\n
  21. Elise Lunde Gjelsvik, Martin Fossen, Anders Brunsvik, Kristian Hovde Liland<\/strong>, Kristin T\u00f8ndel
    \n    Crude Oil Density Prediction Improved by Multiblock Analysis of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, Fourier Transform Infrared, and Near-Infrared Spectroscopy Data<\/a>
    \nApplied Spectroscopy<\/em> 77<\/strong>(10), (2023).<\/li>\n
  22. Marija Vukovic, Kristian Hovde Liland<\/strong>, Ulf Geir Indahl, Marko Jakovljevi\u0107, Andreas Svarstad Fl\u00f8, Espen Olsen, Ingunn Burud
    \n    Extraction of photoluminescence with Pearson correlation coefficient from images of field-installed photovoltaic modules<\/a>
    \nJournal of Applied Physics<\/em> 133<\/strong>(214901), (2023).<\/li>\n
  23. Puneet Mishra, Kristian Hovde Liland<\/strong>,
    \n    An algorithm for robust multiblock partial least squares predictive modelling<\/a>
    \nJournal of Chemometrics<\/em> 37<\/strong>(6), (2023).<\/li>\n
  24. Runar Helin, Ulf Geir Indahl, Oliver Tomic, Kristian Hovde Liland<\/strong>,
    \n    Non-Linear Shrinking of Linear Model Errors<\/a>
    \nAnalytica Chimica Acta<\/em> 1258<\/strong>, (2023).<\/li>\n
  25. Agnieszka Kuras, Maximilian Brell, Kristian Hovde Liland<\/strong>, Ingunn Burud,
    \n    Multitemporal Feature-Level Fusion on Hyperspectral and LiDAR Data in the Urban Environment<\/a>
    \nRemote Sensing<\/em> 15<\/strong>(3), (2023).<\/li>\n
  26. Eirik Almklov Magnussen, Boris Zimmermann, Uladzislau Blazhko, Simona Dzurendova, Benjamin Dupuy\u2013Galet, Dana Byrtusova, Florian Muthreich, Valeria Tafintseva, Kristian Hovde Liland<\/strong>, Kristin T\u00f8ndel, Volha Shapaval, Achim Kohler,
    \n    Deep learning-enabled Inference of 3D molecular absorption distribution of biological cells from IR spectra<\/a>
    \nCommunications Chemistry – Nature<\/em> 5<\/strong>(175), (2022).<\/li>\n
  27. Puneet Mishra, Kristian Hovde Liland<\/strong>,
    \n    Iterative re-weighted covariates selection for robust feature selection modelling in the presence of outliers (irCovSel)<\/a>
    \nJournal of Chemometrics<\/em> 37<\/strong>(2), (2023).<\/li>\n
  28. Puneet Mishra, Kristian Hovde Liland<\/strong>, Ulf Geir Indahl,
    \n    Swiss Knife Covariates Selection (SKCovSel) : A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses<\/a>
    \nJournal of Chemometrics<\/em> 36<\/strong>(10), (2022).<\/li>\n
  29. Puneet Mishra, Kristian Hovde Liland<\/strong>, Junli Xu, Thanh Tran,
    \n    META-PLS modelling: An integrated approach to automatic model optimization for near-infrared spectra<\/a>
    \nAnalytica Chimica Acta<\/em> 1221<\/strong>, (2022).<\/li>\n
  30. Kristian Hovde Liland<\/strong>, Ulf Geir Indahl, Joakim Skogholt, Puneet Mishra,
    \n    The Canonical Partial Least Squares approach to analysing Multiway datasets – N-CPLS<\/a>
    \nJournal of Chemometrics<\/em> 36<\/strong>(7), (2022).<\/li>\n
  31. Miroslav Kuchta, Sileshi Gizachew Wubshet, Nils Kristian Afseth, Kent-Andr\u00e9 Mardal, Kristian Hovde Liland<\/strong>,
    \n    Encoder-decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis<\/a>
    \nJournal of Biophotonics<\/em> 17<\/strong>(9), (2022).<\/li>\n
  32. Kristian Hovde Liland<\/strong>, Roman Svoboda, Giorgio Luciano, Nikita Muravyev,
    \n    Neural networks applied in kinetic analysis of complex nucleation-growth processes: Outstanding solution for fully overlapping reaction mechanisms<\/a>
    \nJournal of Non-Crystalline Solids<\/em> 588<\/strong>, (2022).<\/li>\n
  33. Puneet Mishra, Kristian Hovde Liland<\/strong>,
    \n    Swiss knife partial least-squares (SKPLS): one tool for modelling single block, multiblock, multiway, multiway multiblock including multi-responses and meta information under the ROSA framework<\/a>
    \nAnalytica Chimica Acta<\/em> 1209<\/strong>, (2022).<\/li>\n
  34. Anna Jenul, Stefan Schrunner, Kristian Hovde Liland<\/strong>, Ulf Geir Indahl, Cecilia Marie Futs\u00e6ther, Oliver Tomic,
    \n    RENT – Repeated Elastic Net Technique for Feature Selection<\/a>
    \nIEEE Access<\/em> 9<\/strong>, (2021).<\/li>\n
  35. Martina Galler, Emma Mikkelsen, Tormod N\u00e6s, Kristian Hovde Liland<\/strong>, Gast\u00f3n Ares, Paula Varela,
    \n    Children\u2019s sweet tooth: explicit ratings vs implicit bias measured by the Approach avoidance task (AAT) <\/a>
    \nFood Quality and Preference<\/em> 96<\/strong>(104416), (2022).<\/li>\n
  36. Runar Helin, Ulf Geir Indahl, Oliver Tomic, Kristian Hovde Liland<\/strong>,
    \n    On the possible benefits of deep learning for spectral pre-processing<\/a>
    \nJournal of Chemometrics<\/em> 36<\/strong>(2), (2022).<\/li>\n
  37. Giorgio Luciano, Serena Berretta, Kristian Hovde Liland<\/strong>, Gavin J. Donley, Simon A. Rogers,
    \n    oreo: An R Package For Large Amplitude OscillatoryAnalysis.<\/a>
    \nSoftwareX<\/em> 15<\/strong>, (2021), #100769.<\/li>\n
  38. Marit Kvalv\u00e5g Pettersen, Julie Nilsen-Nygaard, Anlaug \u00c5dland Hansen, Mats Carleh\u00f6g, Kristian Hovde Liland<\/strong>,
    \n    Effect of absorber capacity and key packaging parameters on drip loss and quality of chicken breast fillets.<\/a>
    \nFoods<\/em> 10<\/strong>(1340), (2021).<\/li>\n
  39. Bj\u00f8rn C. Schirmer, Kristian Hovde Liland<\/strong>, Lene \u00d8verby, Ida Skaar, Cathrine F. Kure,
    \n    Suitability of FTIR as identification method for problem moulds in the meat industry.<\/a>
    \nJournal of Applied Microbiology<\/em> 131<\/strong>(5), (2021), pp. 2308-2316.<\/li>\n
  40. Fatih Kahriman, Kristian Hovde Liland<\/strong>,
    \n    SelectWave: A Graphical User Interface for Wavelength Selection and Spectral Data Analysis.<\/a>
    \nChemometrics and Intelligent Laboratory Systems<\/em> 212<\/strong>(104275), (2021).<\/li>\n
  41. Ellen F\u00e6rgestad Mosleth, Christian Alexander Vedeler, Kristian Hovde Liland<\/strong>, Anette McLeod, Gerd Haga Bringland, Liesbeth Kroondijk, Frode Berven, Artem Lysenko, Christopher J. Rawlings, Karim El-
    \nHajj Eid, Jill Anette Opsahl, Bj\u00f8rn Tore Gjertsen, Kjell-Morten Myhr and Sonia Gavasso,
    \n    Cerebrospinal fluid proteome shows disrupted neuronal development in multiple sclerosis.<\/a>
    \nScientific Reports – Nature<\/em> 11<\/strong>(4087), (2021).<\/li>\n
  42. Giorgio Luciano, Kristian Hovde Liland<\/strong>, M. Marsotto, Roman Svoboda, Serena Berretta,
    \n    takos: An R Package For Thermal Analysis Calculations.<\/a>
    \nSoftwareX<\/em> 12<\/strong>, (2020), #100637.<\/li>\n
  43. Jun Niimi, Kristian Hovde Liland<\/strong>, Oliver Tomic, David W. Jeffery, Susan E. P. Bastian, Paul K. Boss,
    \n    Prediction of wine sensory properties using mid-infrared spectra of Cabernet Sauvignon and Chardonnay grape berries and wines.<\/a>
    \nFood Chemistry<\/em> 344<\/strong>, (2021).<\/li>\n
  44. Eirik Almklov Magnussen, Johanne Heitmann Solheim, Uladzislau Blazhko, Valeria Tafintseva, Kristin T\u00f8ndel, Kristian Hovde Liland<\/strong>, Simona Dzurendova, Volha Shapaval, Christophe Sandt, Ferenc Borondics, Achim Kohler,
    \n    Deep Convolutional Neural Network Recovers Pure Absorbance Spectra from Highly Scatter-distorted Spectra of Cells.<\/a>
    \nJournal of Biophotonics<\/em> 13<\/strong>(12), (2020), e202000204.<\/li>\n
  45. Sissel Beate R\u00f8nning, Cathrine Rein Carlson, Jan Magnus Aronsen, Addolorata Pisconti, Vibeke H\u00f8st, Marianne Lunde, Kristian Hovde Liland<\/strong>, Ivar Sjaastad, Svein Olav Kolset, Geir Christensen, Mona Elisabeth Pedersen,
    \n    Syndecan-4\u2013\/\u2013<\/sup> Mice Have Smaller Muscle Fibers, Increased Akt\/mTOR\/S6K1 and Notch\/HES-1 Pathways, and Alterations in Extracellular Matrix Components.<\/a>
    \nFrontiers in Cell and Developmental Biology<\/em> 8<\/strong>, (2020), p. 730.<\/li>\n
  46. Tormod N\u00e6s, Rosaria Romano, Oliver Tomic, Ingrid M\u00e5ge, Age Smilde, Kristian Hovde Liland<\/strong>,
    \n    Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects.<\/a>
    \nJournal of Chemometrics<\/em> 35<\/strong>(10), (2021).<\/li>\n
  47. Quoc Cuong Nguyen, Kristian Hovde Liland<\/strong>, Oliver Tomic, Amparo Tarrega, Paula Varela, Tormod N\u00e6s,
    \n    SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations<\/a>
    \nFood Research International<\/em> 133<\/strong>, (2020).<\/li>\n
  48. Arild Hetland, Maria Vistnes, Kristina Hermann Haugaa, Kristian Hovde Liland<\/strong>, Margareth Olseng,
    \nThor Edvardsen,
    \n    Obstructive sleep apnea versus central sleep apnea: prognosis in systolic heart failure<\/a>
    \nCardiovascular Diagnosis and Therapy<\/em> 10<\/strong>(3), (2020).<\/li>\n
  49. Anna Dysvik, Sabina Leanti La Rosa, Kristian Hovde Liland<\/strong>, Kristine Myhrer, Hilde Marit \u00d8stlie, Gert De Rouck, Elling-Olav Rukke, Bj\u00f8rge Westereng, Trude Wicklund,
    \n    Co-fermentation involving Saccharomyces cerevisiae and Lactobacillus species tolerant to brewing-related stress factors for controlled and rapid production of sour beer<\/a>
    \nFrontiers in Microbiology<\/em> 11<\/strong>(279), (2020).<\/li>\n
  50. Tahir Mehmood, Solve S\u00e6b\u00f8, Kristian Hovde Liland<\/strong>,
    \n    Comparison of variable selection methods in Partial Least Squares Regression<\/a>
    \nJournal of Chemometrics<\/em> 34<\/strong>(6), (2020).<\/li>\n
  51. Anna Dysvik, Sabina Leanti La Rosa, Fanny Buffetto, Kristian Hovde Liland<\/strong>, Kristine S. Myhrer, Elling-Olav Rukke, Trude Wicklund, Bj\u00f8rge Westereng,
    \n    Secondary lactic acid bacteria fermentation with wood-derived xylooligosaccharides as a tool to expedite sour beer production<\/a>
    \nJournal of Agricultural and Food Chemistry<\/em> 68<\/strong>(1), (2020), pp. 301-314.<\/li>\n
  52. Kristian Hovde Liland<\/strong>, Petter Stefansson, Ulf Geir Indahl,
    \n    Much faster cross-validation in PLSR-modelling by avoiding
    \nredundant calculations<\/a>
    \nJournal of Chemometrics<\/em> 34<\/strong>(3), (2020).<\/li>\n
  53. Petter Stefansson, Kristian Hovde Liland<\/strong>, Thomas Kringlebotn, Ingunn Burud,
    \n    Fast method for GA-PLS with simultaneous feature selection and identification of optimal preprocessing technique for datasets with many observations<\/a>
    \nJournal of Chemometrics<\/em> 34<\/strong>(3), (2020).<\/li>\n
  54. Oliver Tomic, Thomas Graff, Kristian Hovde Liland<\/strong>, Tormod N\u00e6s,
    \n    hoggorm: a python library for explorative multivariate statistics<\/a>
    \nThe Journal of Open Source Software <\/em> 4<\/strong>(39):980, (2019).<\/li>\n
  55. Kenneth Aase Kristoffersen, Kristian Hovde Liland<\/strong>, Ulrike B\u00f6cker, Sileshi Gizachew Wubshet, Diana Lindberg, Svein Jarle Horn and Nils Kristian Afseth,
    \n    FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates<\/a>
    \nTalanta <\/em> 205<\/strong>, (2019).<\/li>\n
  56. Karen Wahlstr\u00f8m Sanden, Achim Kohler, Nils Kristian Afseth, Ulrike B\u00f6cker, Sissel Beate R\u00f8nning, Kristian Hovde Liland<\/strong>, Mona E. Pedersen,
    \n    The use of FTIR spectroscopy to characterize connective tissue components in skeletal muscle of Atlantic cod (Gadus morhua L.)<\/a>
    \nJournal of Biophotonics <\/em> 12<\/strong>(9), (2019).<\/li>\n
  57. Petter Stefansson, Ulf Geir Indahl, Kristian Hovde Liland<\/strong>, Ingunn Burud,
    \n    Orders of magnitude speed increase in Partial Least Squares feature selection with new simple indexing technique for very tall data sets<\/a>
    \nJournal of Chemometrics <\/em> 33<\/strong>(11), (2019), e3141.<\/li>\n
  58. Anna Dysvik, Kristian Hovde Liland<\/strong>, Kristine S. Myhrer, Bj\u00f8rge Westereng, Elling-Olav Rukke, Gert De Rouck, Trude Wicklund,
    \n    Pre-fermentation with lactic acid bacteria in sour beer production<\/a>
    \nJournal of the Institute of Brewing <\/em> 125<\/strong>(3), (2019), pp. 342-356.<\/li>\n
  59. Rosaria Romano, Oliver Tomic, Kristian Hovde Liland<\/strong>, Age Smilde, Tormod N\u00e6s,
    \n    A comparison of two PLS based approaches to Structural Equation Modeling<\/a>
    \nJournal of Chemometrics <\/em> 33<\/strong>(3), (2019), e3105.<\/li>\n
  60. Even Heir, Kristian Hovde Liland<\/strong>, Mats Carleh\u00f6g, Askild Holck,
    \n    Reduction and inhibition of Listeria monocytogenes in cold-smoked salmon by Verdad N6, a buffered vinegar fermentate, and UV-C treatments International<\/a>
    \nJournal of Food Microbiology<\/em> 291<\/strong>(16), (2019), pp. 48-58.<\/li>\n
  61. Joakim Skogholt, Kristian Hovde Liland<\/strong>, Ulf Geir Indahl,
    \n    Pre-processing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra<\/a>
    \nJournal of Raman Spectroscopy <\/em> 50<\/strong>(3), (2019), pp. 407-417.<\/li>\n
  62. Katarina M. J\u00f8rgensen, Ellen F\u00e6rgestad Mosleth, Kristian Hovde Liland<\/strong>, Nancy B. Hopf, Rita Holdhus, Anne-Kristin Stavrum, Bj\u00f8rn Tore Gjertsen, Jorunn Kirkeleit,
    \n    Global Gene Expression Response in Peripheral Blood Cells of Petroleum Workers Exposed to Sub-ppm Benzene Levels<\/a>
    \nInternational Journal of Environmental Research and Public Health<\/em> 15<\/strong>(11), (2018).<\/li>\n
  63. Askild Holck, Mats Carleh\u00f6g, Kristian Hovde Liland<\/strong>, Even Heir,
    \n    Reductions of Listeria monocytogenes on cold-smoked and raw salmon fillets by UV-C and pulsed UV light<\/a>
    \nInnovative Food Science and Emerging Technologies<\/em> 50<\/strong>, (2018), pp. 1-10.<\/li>\n
  64. Eirik Nataas Hanssen, Kristian Hovde Liland<\/strong>, Peter Gill, Lars Snipen,
    \n    Optimizing body fluid recognition from microbial taxonomic pro\ffiles<\/a>
    \nForensic Science International: Genetics<\/em> 37<\/strong>, (2018), pp. 12-20.<\/li>\n
  65. Ulf Geir Indahl, Kristian Hovde Liland<\/strong>, Tormod N\u00e6s,
    \n    A similarity index for comparing coupled matrices<\/a>
    \nJournal of Chemometrics<\/em> 32<\/strong>(e3049), (2018).<\/li>\n
  66. Kristian Hovde Liland<\/strong>, Age Smilde, Federico Marini, Tormod N\u00e6s,
    \n    Confidence ellipsoids for ASCA models based on multivariate regression theory<\/a>
    \nJournal of Chemometrics<\/em> 32<\/strong>(5), (2018).<\/li>\n
  67. Anette McLeod, Kristian Hovde Liland<\/strong>, John-Erik Haugen, Oddvin S\u00f8rheim, Kristine S. Myhrer, Askild Holck,
    \n    Chicken fillets subjected to UV-C and pulsed UV light: reduction of pathogenic and spoilage bacteria, and changes in sensory quality<\/a>
    \nJournal of Food Safety<\/em> 38<\/strong>(1), (2018), pp. 1-15.<\/li>\n
  68. Joakim Skogholt, Kristian Hovde Liland<\/strong>, Ulf G. Indahl,
    \n    Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling<\/a>
    \nJournal of Chemometrics<\/em> 32<\/strong>(3), (2018), pp. 1-18.<\/li>\n
  69. Askild L. Holck, Kristian Hovde Liland<\/strong>, Signe M. Dr\u00f8mtorp, Mats Carleh\u00f6g, Anette McLeod,
    \n    Comparison of UV-C and pulsed UV light treatments for reduction of Salmonella, Listeria monocytogenes<\/i> and enterohemorrhagic Escherichia coli<\/i> on eggs<\/a>
    \nJournal of Food Protection<\/em> 81<\/strong>(1), (2018), pp. 6-16.<\/li>\n
  70. Anette McLeod, Ellen F. Mosleth, Ida Rud, Filipe Branco dos Santos, Lars Snipen, Kristian Hovde Liland<\/strong>, Lars Axelsson,
    \n    Effects of glucose availability in Lactobacillus sakei<\/i>; metabolic change and regulation of the proteome and transcriptome<\/a>
    \nPLoS ONE<\/em> November 3, (2017).<\/li>\n
  71. Kasper Christensen, Kristian Hovde Liland<\/strong>, Knut Kvaal, Einar Risvik, Alessandra Biancolillo, Joachim Scholderer, Sladjana N\u00f8rskov, Tormod N\u00e6s,
    \n    Mining online community data: The nature of ideas in online communities<\/a>
    \nFood Quality and Preference<\/em> 62<\/strong>, (2017), pp. 246-256.<\/li>\n
  72. Kristian Hovde Liland<\/strong>, Hilde Vinje, Lars Snipen,
    \n    microclass: an R-package for 16S taxonomy classification<\/a>
    \nBMC Bioinformatics<\/em> 18<\/strong>:172, (2017).<\/li>\n
  73. Christian Encina-Zelada, Vasco Cadavez, Jorge Pereda, Luz G\u00f3mez-Pando, Bettit Salv\u00e1-Ru\u00edz, Jos\u00e9 A Teixeira, Martha Ib\u00e1\u00f1ez, Kristian Hovde Liland<\/strong>, Ursula Gonzales-Barron,
    \n    Estimation of Composition of Quinoa (Chenopodium quinoa Willd.) Grains by Near-Infrared Transmission Spectroscopy<\/a>
    \nLWT – Food Science and Technology<\/em> 79<\/strong>, (2017), pp. 126-134.<\/li>\n
  74. Tormod N\u00e6s, Ingunn Berget, Kristian Hovde Liland<\/strong>, Gaston Ares, Paula Varela,
    \n    Estimating and interpreting more than two components in projective mapping: INDSCAL vs. Multiple Factor Analysis (MFA)<\/a>
    \nFood Quality and Preference <\/em> 58<\/strong>, (2017), pp. 45-60.<\/li>\n
  75. Arild Hetland, Kristina H. Haugaa, Maria Vistnes, Kristian Hovde Liland<\/strong>, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
    \n    A Retrospective Analysis of Cardiovascular Outcomes in Patients Treated with ASV<\/a>
    \nScandinavian Cardiovascular Journal<\/em> 51<\/strong>(2), (2017), pp. 106-113.<\/li>\n
  76. Knut Arne Smeland, Kristian Hovde Liland<\/strong>, Jakub Sandak, Anna Sandak, Lone Ross Gobakken, Thomas Kringlebotn Thiis, Ingunn Burud,
    \n    NIR hyperspectral imaging in transmission mode: Assessing the weathering of thin wood samples<\/a>
    \nJournal of Near Infrared Spectroscopy<\/em> 24<\/strong>, (2016), pp. 595-604.<\/li>\n
  77. Kristian Hovde Liland<\/strong>, Lars Gustav Snipen,
    \n    fixedTimeEvents: An R package for the distribution of distances between discrete events in fixed time<\/a>
    \nSoftwareX <\/em> 5<\/strong>, (2016), pp. 227-233.<\/li>\n
  78. Kristian Hovde Liland<\/strong>, Tormod N\u00e6s, Ulf Geir Indahl,
    \n    ROSA – a fast extension of Partial Least Squares Regression for Multiblock Data Analysis<\/a>
    \nJournal of Chemometrics<\/em> 30<\/strong>:11 (2016), pp. 651-662.<\/li>\n
  79. Alessandra Biancolillo, Kristian Hovde Liland<\/strong>, Ingrid M\u00e5ge, Tormod N\u00e6s, Rasmus Bro,
    \n    Variable selection in multi-block regression<\/a>
    \nChemometrics and Intelligent Laboratory Systems <\/em> 156<\/strong>, (2016), pp. 89-101.<\/li>\n
  80. Kristian Hovde Liland<\/strong>, Achim Kohler, Nils Kristian Afseth,
    \n    Model-based pre-processing in Raman spectroscopy of biological samples<\/a>
    \nJournal of Raman Spectroscopy <\/em> 47<\/strong>:6 (2016), pp. 643-650.<\/li>\n
  81. Hilde Vinje, Kristian Hovde Liland<\/strong>, Trygve Alm\u00f8y, Lars Snipen,
    \n    Comparing K-mer based methods for improved classification of 16S sequences<\/a>
    \nBMC Bioinformatics <\/em> 16<\/strong>:205 (2015).<\/li>\n
  82. Trygve Helgerud, Jens P. Wold, Morten B. Pedersen, Kristian Hovde Liland<\/strong>, Simon Ballance, Svein H. Knutsen, Elling O. Rukke, Nils K. Afseth,
    \n    Towards on-line prediction of dry matter content in whole unpeeled potatoes using near-infrared spectroscopy<\/a>
    \nTalanta <\/em> 143<\/strong> (2015), pp. 138-144.<\/li>\n
  83. Lars Snipen, Kristian Hovde Liland<\/strong>,
    \n    micropan: an R-package for microbial pan-genomics<\/a>
    \nBMC Bioinformatics <\/em> 16<\/strong>:79 (2015).<\/li>\n
  84. Kristian Hovde Liland<\/strong>,
    \n    4S Peak Filling – Baseline estimation by iterative mean suppression<\/a>
    \nMethodsX <\/em> 2<\/strong> (2015), pp. 135-140.<\/li>\n
  85. Kristian Hovde Liland<\/strong>, Achim Kohler, Volha Shapaval,
    \n    Hot PLS – a framework for Hierarchically Ordered Taxonomic classification by Partial Least Squares<\/a>
    \nChemometrics and Intelligent Laboratory Systems. <\/em>138<\/strong>(15) (2014).<\/li>\n
  86. Anne Cathrine Whist<\/sup>\u2044Kristian Hovde Liland<\/strong><\/sub>, Malin Elisabet Jonsson, Solve S\u00e6b\u00f8, St\u00e5le Sviland, Olav \u00d8ster\u00e5s, Madelaine Norstr\u00f6m, Petter Hopp,
    \n    Designing a Risk-based Surveillance Program for Mycobacterium avium ssp. paratuberculosis in Norwegian Dairy Herds Using Multivariate Statistical Process Control Analysis <\/a>
    \nJournal of Dairy Science. <\/em>97<\/strong> (2014), pp. 1-15.<\/li>\n
  87. Hilde Vinje, Trygve Alm\u00f8y, Kristian Hovde Liland<\/strong>, Lars Snipen,
    \n    A systematic search for discriminating sites in the 16S ribosomal RNA gene<\/a>
    \nMicrobial Informatics and Experimentation <\/em>4<\/strong>(2) (2014).<\/li>\n
  88. Hanne Larsen, Kristian Hovde Liland<\/strong>,
    \n    Determination of O2 and CO2 transmission rate of whole packages and single perforations in micro-perforated packages for fruit and vegetables<\/a>
    \nJournal of Food Engineering <\/em>119<\/strong>(2) (2013), pp. 271-276.<\/li>\n
  89. Pere Gou, Eva Santos-Garc\u00e9s, Martin H\u00f8y, Jens Petter Wold, Kristian Hovde Liland<\/strong>, Elena Fulladosa,
    \n    Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices<\/a>
    \nMeat Science <\/em>95<\/strong>(2) (2013), pp. 250-255.<\/li>\n
  90. Kristian Hovde Liland<\/strong>, Martin H\u00f8y, Harald Martens, Solve S\u00e6b\u00f8,
    \n    Distribution based truncation for variable selection in subspace methods for multivariate regression<\/a>
    \nChemometrics and Intelligent Laboratory Systems <\/em>122<\/strong>(15) (2013), pp. 103-111.<\/li>\n
  91. Anna Telaar, Kristian Hovde Liland<\/strong>, Dirk Repsilber, Gerd N\u00fcrnberg,
    \n    An Extension of PPLS-DA for Classification and Comparison to Ordinary PLS-DA<\/a>
    \nPLOS ONE <\/em>8<\/strong>(2) (2013), pp. 1-13.<\/li>\n
  92. Vinh Tanh Phung, Mamta Khatri, Kristian Hovde Liland<\/strong>, Erik Slinde, Oddvin S\u00f8rheim, Trygve Alm\u00f8y, Kristin Saarem, Bj\u00f8rg Egelandsdal,
    \n    Mitochondrial oxygen consumption in permeabilized fibers and its link to colour changes in bovine M. semimembranosus muscle<\/a>
    \nMeat Science <\/em>91<\/strong>(1) (2013), pp. 128-137.<\/li>\n
  93. Linda C. Saga, Vera Kristinova, Bente Kirkhus, Charlotte Jacobsen, Josefine Skaret, Jens Petter Wold, Kristian Hovde Liland<\/strong>, Elling-Olav Rukke,
    \n    Characterization of oxidative stability of fish oil and plant oil enriched skimmed milk<\/a>
    \nJournal of the American Oil Chemists’ Society <\/em>(2012).<\/li>\n
  94. Tahir Mehmood, Kristian Hovde Liland<\/strong>, Lars Snipen, Solve S\u00e6b\u00f8,
    \n    A Review of Variable Selection Methods in Partial Least Squares Regression<\/a>
    \nChemometrics and Intelligent Laboratory Systems <\/em>118<\/strong> (2012), pp. 62-69.<\/li>\n
  95. Davide Porcellato, Hilde M. \u00d8stlie, Kristian Hovde Liland<\/strong>, Knut Rudi, Tomas Isaksson, Siv Borghild Skeie,
    \n    Strain level characterization of non starter lactic acid bacteria in Norvegia cheese by high resolution melt analysis<\/a>
    \nJournal of Dairy Science <\/em>95<\/strong>(9) (2012), pp. 4804-4812.<\/li>\n
  96. Linda C. Saga, Kristian Hovde Liland<\/strong>, Rune Bang Leistad, Arne Reimers, Elling-Olav Rukke,
    \n    Relating fatty acid composition in human fingertip blood to age, gender, nationality and n-3 supplementation in the Scandinavian population<\/a>
    \nInternational Journal of Food Sciences and Nutrition <\/em>63<\/strong>(7) (2012), pp. 790-795.<\/li>\n
  97. Kristian Hovde Liland<\/strong>, Elling-Olav Rukke, Elisabeth Fj\u00e6rvoll Olsen, Tomas Isaksson,
    \n    Customized baseline correction<\/a>
    \nChemometrics and Intelligent Laboratory Systems <\/em>109<\/strong>(1) (2011), pp. 51-56.<\/li>\n
  98. Linda C. Saga, Elling-Olav Rukke, Kristian Hovde Liland<\/strong>, Bente Kirkhus, Bj\u00f8rg Egelandsdal, Jan Karlsen, Jon Volden,
    \n    Oxidative Stability of Polyunsaturated Edible Oils Mixed With Microcrystalline Cellulose<\/a>
    \nJournal of the American Oil Chemists<\/em> 88<\/strong>(12) (2011), pp. 1883-1895.<\/li>\n
  99. Kristian Hovde Liland,<\/strong>
    \n    Multivariate methods in metabolomics \u2013 from pre-processing to dimension reduction and statistical analysis<\/a>
    \nTrends in Analytical Chemistry<\/em> 30<\/strong>(6) (2011), pp.  827-841.<\/li>\n
  100. Kristian Hovde Liland<\/strong>, Trygve Alm\u00f8y, Bj\u00f8rn-Helge Mevik,
    \n    Optimal Baseline Correction for Multivariate Calibration Using Open-Source Software<\/a>
    \nAmerican Laboratory<\/em> 43<\/strong>(4) (2011), pp. 13-16.<\/li>\n
  101. Julia Isaeva, Solve S\u00e6b\u00f8, John Andreas Wyller, Kristian Hovde Liland<\/strong>, Ellen Mosleth F\u00e6rgestad, Rasmus Bro, Harald Martens,
    \n    Using GEMANOVA to explore the pattern generating properties of the Delta-Notch model<\/a>,
    \nJournal of Chemometrics<\/em> 24<\/strong>(10) (2010), pp. 626-634.<\/li>\n
  102. Ragnhild Aab\u00f8e Inlingstad, Tove G. Devold, Ellen K. Eriksen, Halvor Holm, Morten Jacobsen, Kristian Hovde Liland<\/strong>, Elling O. Rukke, Gerd E. Vegarud,
    \n    Comparison of the digestion of caseins and whey proteins in equine, bovine, caprine and human milks by human gastrointestinal enzymes<\/a>,
    \nDairy Science Technology<\/em> 90<\/strong> (2010), pp. 549-563.<\/li>\n
  103. Kristian Hovde Liland<\/strong>, Trygve Alm\u00f8y, Bj\u00f8rn-Helge Mevik,
    \n    Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra<\/a>,
    \nApplied Spectroscopy<\/em> 64<\/strong>(9) (2010), pp. 1007-1016.<\/li>\n
  104. Kristian Hovde Liland<\/strong>, Bj\u00f8rn-Helge Mevik, Elling-Olav Rukke, Trygve Alm\u00f8y, Tomas Isaksson,
    \n    Quantitative whole spectrum analysis with MALDI-TOF MS,
    \nPart II: Determining the concentration of milk in mixtures<\/a>,
    \nChemometrics and Intelligent Laboratory Systems <\/em>99<\/strong> (2009), pp. 39-48.<\/li>\n
  105. Ulf G. Indahl, Kristian Hovde Liland<\/strong>, Tormod N\u00e6s,
    \n    Canonical partial least squares \u2014 a unified PLS approach to classification and regression problems<\/a>,
    \nJournal of Chemometrics<\/em> 23<\/strong> (2009), pp. 495-504.<\/li>\n
  106. Kristian Hovde Liland<\/strong>, Bj\u00f8rn-Helge Mevik, Elling-Olav Rukke, Trygve Alm\u00f8y, Morten
    \nSkaugen, Tomas Isaksson,
    \n    Quantitative whole spectrum analysis with MALDI-TOF MS,
    \nPart I: Measurement optimisation<\/a>,
    \nChemometrics and Intelligent Laboratory Systems <\/em>96<\/strong> (2009), pp. 210-218.<\/li>\n
  107. Kristian Hovde Liland<\/strong>, Ellen Mosleth F\u00e6rgestad,
    \n    Testing effects of experimental design factors using multi-way analysis<\/a>,
    \nChemometrics and Intelligent Laboratory Systems <\/em>96<\/strong> (2009), pp. 172-181.<\/li>\n
  108. Kristian Hovde Liland<\/strong>, Ulf Geir Indahl,
    \n    Powered partial least squares discriminant analysis<\/a>,
    \nJournal of Chemometrics<\/em> 23<\/strong> (2009), pp. 7-18.<\/li>\n<\/ol>\n

    Konferanseartikler<\/h3>\n
      \n
    1. Bao Ngoc Huynh, Min Jeong Cheon , Torjus Strandenes Moen, Aurora Rosvoll Groendahl, Ingerid Skjei Knudtsen, Kristian Hovde Liland, Frank Hoebers, Wouter van Elmpt, Einar Dale, Eirik Malinen, Oliver Tomic and Cecilia Marie Futsaether
      \n      Machine and deep learning time-to-event models with explainability for head and neck cancer outcome predictions<\/a>
      \nRadiotherapy and Oncologyy<\/em> 206<\/strong> (2025).<\/li>\n
    2. Kristian Hovde Liland<\/strong>, Oliver Tomic, Ulf Geir Indahl, Cecilia Marie Futs\u00e6ther, Lei Jiao, Ole-Christoffer Granmo, Lars Gustav Snipen,
      \n      Tsetlin Machine in DNA sequence classification : Application to prokaryote gene prediction \/ A match made in silico<\/a>,
      \n2023 International Symposium on the Tsetlin Machine (ISTM)<\/em> IEEE Xplore (2023).<\/li>\n
    3. Anna Jenul, Stefan Schrunner, Bao Ngoc Huynh, Runar Helin, Cecilia Marie Futs\u00e6ther, Kristian Hovde Liland<\/strong>, Oliver Tomic,
      \n      Ranking Feature-Block Importance in Artificial Multiblock Neural Networks<\/a>,
      \nArtificial Neural Networks and Machine Learning \u2013 ICANN 2022<\/em> Lecture Notes in Computer Science, vol 13532 (2022), pp. 163\u2013175.<\/li>\n
    4. Anna Jenul, Bimal Bhattarai, Kristian Hovde Liland<\/strong>, Lei Jiao, Stefan Schrunner, Cecilia Futs\u00e6ther, Ole-Christoffer Granmo, Oliver Tomic,
      \n      Component Based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling<\/a>,
      \n2022 International Symposium on the Tsetlin Machine (ISTM)<\/em> IEEE Xplore (2022).<\/li>\n
    5. Marie Skov Pedersen, Kristian Hovde Liland<\/strong>, Tove Gulbrandsen Devold, Elling-Olav Rukke, Elin Mittet, Reidar Barfod Sch\u00fcller,
      \n      Rheological methods for characterization of industrially produced jam<\/a>
      \nAnnual Transactions – The Nordic Rheology Society<\/em>, (2020), pp. 33-39<\/li>\n
    6. Ingunn Burud, Knut Arne Smeland, Kristian Hovde Liland<\/strong>, Thomas Kringlebotn Thiis, Jakub Sandak, Anna Sandak, Lone Ross Gobakken,
      \n      Weather degradation of thin wood samples<\/a>,
      \nProceedings IRG Annual Meeting<\/em> IRG\/WP 16-20578 (2016), pp. 1-11.<\/li>\n
    7. Arild Hetland, Kristina Haugaa, Maria Vistnes, Kristian Hovde Liland<\/strong>, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
      \n      Adaptive Servo-Ventilation Decreased Mortality and Admission Rates in Heart Failure Patients With Cheyne-Stokes Respiration in a 18 Months Prospective Study<\/a>,
      \nJournal of the American College of Cardiology<\/em> 63<\/strong>(12):A757 (2014).<\/li>\n
    8. Arild Hetland, Maria Vistnes, Kristina Haugaa, Kristian Hovde Liland<\/strong>, Margareth Olseng, Morten B. Jacobsen, Thor Edvardsen,
      \n      Cheyne-Stokes Respiration is Associated With a Higher Mortality Than Obstructive Sleep Apnea in Heart Failure Patients<\/a>,
      \nJournal of the American College of Cardiology<\/em> 63<\/strong>(12):A911 (2014).<\/li>\n
    9. Linda C. Saga, Ulrikke B. Selmer, Kristian Hovde Liland<\/strong>, Tomas Isaksson, Reidar Barfod Sch\u00fcller, Elling-Olav Rukke,
      \n      Rheological characterization of oil saturated powder blends based on experimental design and multivariate analysis<\/a>
      \nAnnual Transactions – The Nordic Rheology Society<\/em> 19<\/strong> (2011), pp. 207-213.<\/li>\n<\/ol>\n

      Andre publikasjoner<\/h3>\n

      B\u00f8ker, bokkapitler, avhandlinger<\/p>\n

        \n
      1. Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland<\/strong>, Analysis of Variance for High-Dimensional Data: Applications in Life, Food, and Chemical Sciences<\/a>, Wiley<\/em> (2025).<\/li>\n
      2. Age K. Smilde, Tormod N\u00e6s, Kristian Hovde Liland<\/strong>, Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences<\/a>, Wiley<\/em> (2022).<\/li>\n
      3. Comprehensive Chemometrics, 2nd edition; Medforfatter p\u00e5 bokkapittel<\/strong> 4.22. Analysis of Megavariate Data in Functional Omics. (2020)<\/li>\n
      4. Multivariate analysis – method development and novel applications in spectrometry (Doktorgradsavhandling<\/a><\/strong> (2010)).<\/li>\n
      5. Comprehensive Chemometrics; Medforfatter p\u00e5 bokkapittel<\/strong> 4.08.4.7. Analyzing Data of N-Way Structure. (2009)<\/li>\n
      6. PPLS-DA: En vri p\u00e5 Partial Least Squares Discriminant Analysis – eksplorativ egenskapsuttrekking for klassifikasjonsproblemer rettet mot bedre prediksjon og tolkbarhet (Masteroppgave<\/strong> (2006)).<\/li>\n<\/ol>\n

        Utdanning<\/h3>\n
          \n
        • Videreg\u00e5ende skole<\/strong>
          \nAllmenfag ved Mj\u00f8lan VGS, Mo i Rana<\/li>\n
        • Folkeh\u00f8gskole<\/strong>
          \nKlassisk gitar ved Toneheim FHS, Hamar<\/li>\n
        • Musikkonservatorium<\/strong>
          \nKlassisk gitar 2 \u00e5r, HiA (UiA)<\/li>\n
        • Bachelorgrad<\/strong>
          \nInformatikk og matematikk 195 sp, HiA (UiA)<\/li>\n
        • Mastergrad<\/strong>
          \nAnvendt statistikk 60+60 sp, UMB<\/li>\n
        • Doktorgrad (PhD)<\/strong>
          \nAnvendt statistikk 3,5 \u00e5r, UMB<\/li>\n<\/ul>\n

          Arbeidserfaring<\/h3>\n
            \n
          • Sommerjobber<\/strong>
            \nErgo Integration, Mo i Rana (ca 21 uker)
            \nChristianssands Bryggeri (ca 46 uker)<\/li>\n
          • Helgejobb
            \n<\/strong>Bj\u00f8rndal G\u00e5rd (servit\u00f8r\/bartender\/hovmester 2003-2005)<\/li>\n
          • Studenthjelp
            \n<\/strong>F\u00f8rstesemesterassistent ved HiA (UiA)<\/li>\n
          • \u00d8vingsl\u00e6rer i statistikk
            \n<\/strong>4 semestre ved UMB<\/li>\n
          • Timel\u00e6rer
            \n<\/strong>Matematisk statistikk ved UiA<\/li>\n
          • Hovedl\u00e6rer
            \n<\/strong>Matematisk statistikk, 5 sp ved NMBU (to ganger)
            \nStatistisk dataanalyse, 10 sp ved NMBU
            \nBrukerkurs i matematikk, 10 sp ved NMBU
            \nH\u00f8ydimensjonal dataanalyse, 5 sp ved NMBU
            \nInnf\u00f8ring i programmering, 10 sp ved NMBU
            \nAnvendt maskinl\u00e6ring og dypl\u00e6ring, 10+10 sp ved NMBU (flere ganger)
            \nData til beslutning, 10 sp ved NMBU
            \nTidsserieanalyse, 10 sp ved NMBU<\/li>\n
          • Postdoktor<\/strong>
            \nNMBU (sep. 2010 – juni 2012)<\/li>\n
          • F\u00f8rsteamanuensis II<\/strong>
            \nNMBU\/KBM (juli 2012 – juli 2018)<\/li>\n
          • Forsker<\/strong>
            \nNofima (mai 2012 – september 2017)<\/li>\n
          • F\u00f8rsteamanuensis<\/strong>
            \nNMBU\/Realtek (fra oktober 2017)<\/li>\n
          • Professor<\/strong>
            \nNMBU\/Realtek (fra september 2022)<\/li>\n<\/ul>\n

            Utmerkelser<\/h3>\n
              \n
            • IKBMs undervisningspris for STAT250 (2008) og STAT300 (2010)<\/li>\n
            • Wiley’s poster-pris ved SSC11<\/li>\n<\/ul>\n

              Opponent<\/h3>\n
                \n
              • \n
                  \n
                • 2.-opponent for Naresh Doni Jayavelu, NTNU,
                  \nDoktoravhandling: Integrative Systems Biology Approaches for Analyzing High-Throughput Data, Applications to modeling of gene regulatory networks<\/li>\n
                • 2.-opponent for Kuruge Darshana Abeyrathna, UiA, Doktoravhandling: Nove Tsetlin Machine Mechanisms for Logic-based Regression and Classification with Support for Continuous Input, Clause Weighting, Confidence Assessment, Deterministic Learning, and Convolution<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                  Navigasjon Artikler (108) Konferanseartikler (9) B\u00f8ker (2), bokkapitler (1×2), avhandlinger (2) Utdanning og arbeidserfaring Vitenskapelige nettverk Orcid ID Google Scholar profile ResearchGate profile Scopus Author ID Artikler Fagfellevurderte journalartikler Evelina Veronica Christina Berntsson, Morten Omholt Alver, Kristian Hovde Liland and Tor Kristian Stevik Modeling cage-level dissolved oxygen variation within salmon farms Frontiers in Aquaculture, section […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-6","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/pages\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/khliland.no\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6"}],"version-history":[{"count":98,"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/pages\/6\/revisions"}],"predecessor-version":[{"id":3090,"href":"https:\/\/khliland.no\/index.php?rest_route=\/wp\/v2\/pages\/6\/revisions\/3090"}],"wp:attachment":[{"href":"https:\/\/khliland.no\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}