K SATHEESH KUMAR

K SATHEESH KUMAR

Data Science, Artificial Intelligence and Machine Learning, Knowledge Engineering, Material Informatics, Complex Networks, Social Network Analysis, Citation network analysis, Renewable Energy, Time Series Modelling and Forecasting, Biomedical Signal Processing, Super Computing, Modelling and Simulation, Parallel Programming, Outcome Based Education, Curriculum Design & course delivery

K Satheesh Kumar presently holds the role of Visiting Professor at the Kerala University of Digital Sciences, Innovation, and Technology. Previously, he served as Professor and Head of the Department of Futures Studies at the University of Kerala. Kumar’s academic journey began with a degree in mathematics, followed by doctoral research in suspension rheology and chaotic dynamics at the CSIR Lab in Thiruvananthapuram. He subsequently pursued post-doctoral research positions at Monash University, Australia, and POSTECH, South Korea. Kumar’s research interests span suspension and polymer rheology, chaotic dynamics, nonlinear time series analysis, geophysics, complex network analysis, and wind energy modeling and forecasting. Proficient in computational modeling, machine learning, parallel computing, and social network analysis, Kumar brings a multidisciplinary approach to his work. Access his resume here and publications at Google Scholar. 

  • PhD (Faculty of Technology): Cochin Univ. of Science & Technology: 1998:
    Institute: NIIST (formerly Regional Research Laboratory(CSIR), Thiruvananthapuram – 695 019,
    India
    Thesis: “Studies on the chaotic rheological parameters of periodically forced suspensions of
    weak Brownian slender bodies in simple shear flow”
    Advisor: Dr T. R. Ramamohan, Regional Research Laboratory(CSIR), Thiruvananthapuram– 695 019,
    India
  • M.Sc.(Mathematics) : First Class : Annamalai Univ., India : 1988
  • B.Sc.(Mathematics) : First Class : Univ. of Kerala, India : 1984
  • Visiting Faculty in School of Data Science, Indian Institute of Science Education and Research (IISER), Thiruvananthapuram, 2023
  • Professor in the Department of Futures Studies, University of Kerala, Thiruvananthapuram, Kerala (19 – 12 – 2016 to 31-3-2024 )
  • Associate Professor in the Department of Futures Studies, University of Kerala, Thiruvananthapuram, Kerala (19 – 12 – 2012 to 18-12-2016 )
  • Assistant Professor in the Department of Futures Studies, University of Kerala, Thiruvananthapuram, Kerala (24 – 8 – 2011 to 18 – 12 – 2012)
  • Lecturer (Sel. Grade), St. John’ College, Anchal PO, India (19-12-2009 – 23-8-2011)
  • Lecturer (Sr Grade), St. John’ College, Anchal PO, India (16-01-2005 – 18 -12-2009)
  • Post-doctoral Research Scientist in Department of Physics, Pohang University of Science and Technology, Pohang, S. Korea from 29-01-2004 to 08-09-2005.
  • Post-Doctoral Research Fellow on level B in the Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia from 15-11-2001 to 8-11-2003.
  • Lecturer (Sr Grade), St. John’ College, Anchal PO, India (16-09-2000 – 12 -11-2001)(On Leave from St. John’s College)
  • Lecturer, St. John’ College, Anchal PO, India (16-09-1996 – 15-9-2000)
  • Lecturer (ad hoc) in the Department of Mathematics, PONDICHERRY CENTRAL UNIVERSITY from 25-03-1991 to 30-04-1991
  • Social Network Analysis
  • Time Series Analysis and SEM
  • MBA Managerial Economics
  • PhD Coursework: Pedagogy Design
  1. Reshmi LB, Valsaraj P, Asokan K, Ramamohan TR, K. Satheesh Kumar. Adapted symbolic dynamic networks for multi-step forecasting of chaotic wind speed time series. Chaos, Solitons & Fractals. 2026 Feb 1;203:117610.
    https://doi.org/10.1016/j.chaos.2025.117610
  2. Johnson Foyken Jones, Veena Raj, Pg Emeroylariffion Abas, MI Petra, Dawn Sivan, K Satheesh Kumar, Rajan Jose, Sathyajith Mathew. Application of artificial intelligence for asset integrity management of offshore oil and gas pipelines. Life Cycle Reliab Saf Eng (2025).
    https://doi.org/10.1007/s41872-025-00353-2
  3. Dawn Sivan, Veena Raj, K. Satheesh Kumar and Rajan Jose, How Generative AI Models Work: Behind the Code, In Generative AI for Software Development: Code Generation, Error Detection, Software Testing (pp 145) 2025 Degruyter
    https://doi.org/10.1515/9783111677798-003
  4. Kumar R. Ajith, T. Radhakrishnan, Kumar T. K. Manoj, Sivan Dawn and K. Satheesh Kumar, Software Development: No-Code and Low- Code with Generative AI, In Generative AI for Software Development: Code Generation, Error Detection, Software Testing (pp 145) 2025 Degruyter
    https://doi.org/10.1515/9783111677798-007
  5. Bindu, N., Kumar, R. A., Radhakrishnan, T., Kumar, T. M., & K. Satheesh Kumar, (2025). Virtual Realities: The Influence of the Metaverse on Healthcare E-Governance. In Applying Metaverse Technologies to Human-Computer Interaction for Healthcare (pp. 254-277) 2025. Auerbach Publications.
    https://doi.org/10.1201/9781003491668
  6. Varunsaagar Saravanan, Dawn Sivan, K. Satheesh Kumar, Rajan Jose, Disease Diagnosis Traditional vs. Bio-Inspired Algorithm Approaches, in Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection, 2025,
    http://doi.org/10.1201/9781003538158-4
  7. Balasubramaniam, S., Vijesh Joe, C., Prasanth, A. and Kumar, K.Satheesh Kumar, Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions. Computer Vision in Smart Agriculture and Crop Management, pp.221-258, 2025,
    https://doi.org/10.1002/9781394186686.ch10
  8. Balasubramaniam, S., Vijesh Joe, C., Prasanth, A. and K. Satheesh Kumar, Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions. Computer Vision in Smart Agriculture and Crop Management, pp.221-258, 2024, https://doi.org/10.1002/9781394186686.ch10
  9. Balasubramaniam, S., Chirchi, V., Kadry, S., Agoramoorthy, M., Gururama, S.P., K. Satheesh Kumar and Sivakumar, T.A., 2024. The Road Ahead: Emerging Trends, Unresolved Issues, and Concluding Remarks in Generative AI—A Comprehensive Review. International Journal of Intelligent Systems, 2024,
    https://doi.org/10.1155/2024/4013195
  10. Reshmi L, B., Drisya Alex Thumba, K. Asokan, T. K. Kumar, T. R. Ramamohan, and K. Satheesh Kumar. “Complex network-based multistep forecasting model for hyperchaotic time series.” Physical Review E (American Physical Society) 110, no. 4 (2024): 044302. https://doi.org/10.1103/PhysRevE.110.044302
  11. Sivan, Dawn, Saima Zafar, R. V. Rohit, K. Satheeshkumar, Veena Raj, Kohbalan Moorthy, Izan Izwan Misnon, Seeram Ramakrishna, and Rajan Jose. “Towards circularity of plastics: A materials informatics perspective.” Materials Today Sustainability (2024): 101001. https://doi.org/10.1016/j.mtsust.2024.101001
  12. Sivan D, Kumar KS, Raj V, Jose R. 7 Reinforcement Learning from Human Feedback (RLHF). In Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks, edited by S. Balasubramaniam, Seifedine Kadry, A. Prasanth and Rajesh Kumar Dhanaraj, Berlin, Boston: De Gruyter, Sep 23:135, 2024
  13. Balasubramaniam, S., Vijesh Joe, C., Prasanth, A. and Kumar, K.S., 2025. Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions. Computer Vision in Smart Agriculture and Crop Management, pp.221-258. https://doi.org/10.1515/9783111425078
  14. Reshmi, L. B., Vipin, Raj R., Balasubramaniam, S. and Kumar, K. Satheesh. “12 Generative AI and LLM: Case Study in Finance”. In Generative AI and LLMs: Natural Language Processing and Generative Adversarial Networks, edited by S. Balasubramaniam, Seifedine Kadry, A. Prasanth and Rajesh Kumar Dhanaraj, Berlin, Boston: De Gruyter, pp. 231-252, 2024,
    https://doi.org/10.1515/9783111425078-012
  15. S. Balasubramaniam, A. Prasanth, K. Satheesh Kumar, Seifedine Kadry, “Artificial Intelligence-Based Hyperautomation for Smart Factory Process Automation” In Hyperautomation for Next‐Generation Industries, pp.55-89. Wiley 2024,
    https://doi.org/10.1002/9781394186518.ch3
  16. S. Balasubramaniam, S. Sumina, K. Satheesh Kumar, A. Prasanth, “Machine learning based models for implementing digital twins in healthcare industry.” In Metaverse Technologies in Healthcare, pp. 135-162. Academic Press, 2024,
    https://doi.org/10.1016/B978-0-443-13565-1.00009-9
  17. S. Balasubramaniam, Seifedine Kadry, Rajesh Kumar Dhanaraj, K. Satheesh Kumar, Adaptive Coati Optimization Enabled Deep CNN-based Image Captioning, Applied Artificial Intelligence, VOL. 38, NO. 1, e2381166 (19 pages) 2024,
    https://doi.org/10.1080/08839514.2024.2381166
  18. Suvarna S. Devi, Nasila Saifudeen, K. Satheesh Kumar, A. Biju Kumar, Does the microplastics ingestion patterns and polymer composition vary across the oceanic zones? A case study from the Indian coast, Marine Pollution Bulletin 204, 116532, (2024), https://doi.org/10.1016/j.marpolbul.2024.116532 (Q1, Impact Factor 5.8)
  19. Sivan, D., Satheesh Kumar, K., Abdullah, A., Raj, V., Misnon, I. I., Ramakrishna, S., & Jose, R. Advances in materials informatics: a review. Journal of Materials Science, 1-42. (2024). https://doi.org/10.1007/s10853-024-09379-w (Q1, Impact Factor 4.5)
  20. Balasubramaniam, S., Seifedine Kadry, and K. Satheesh Kumar. “Osprey Gannet optimization enabled CNN based Transfer learning for optic disc detection and cardiovascular risk prediction using retinal fundus images.” Biomedical Signal Processing and Control, 93 (2024): 106177.(Q1, IF: 5.1)
  21. Balasubramaniam S., Seifedine Kadry, Rajesh Kumar Dhanaraj, K. Satheesh Kumar, Res-Unet based blood vessel segmentation and cardio vascular disease prediction using chronological chef-based optimization algorithm based deep residual network from retinal fundus images, Multimedia tools and applications, 1573-7721, (Q1, IF 3.6) (2024) https://doi.org/10.1007/s11042-024-18810-y
  22. Balasubramaniam S., Sandra Grace Nelson, Arishma M., Anjali S Rajan, Satheesh Kumar K., Machine Learning based Disease and Pest detection in Agricultural Crops, EAI Endorsed Transactions on Internet of Things, Vol. 10 (2024)
    https://doi.org/10.4108/eetiot.5049
  23. Balasubramaniam, Arishma M, K. Satheesh Kumar, Rajesh Kumar Dhanaraj, A Comprehensive Exploration of Artificial Intelligence Methods for COVID-19 Diagnosis, EAI Endorsed Transactions on Pervasive Health and Technology, 10. (2024)
    https://doi.org/10.4108/eetpht.10.5174
  24. Balasubramaniam, S., Joe, C. V., Manthiramoorthy, C., K. Satheesh Kumar, ReliefF based feature selection and Gradient Squirrel search Algorithm enabled Deep Maxout Network for detection of heart disease. Biomedical Signal Processing and Control, 87, 105446, (2024) https://doi.org/10.1016/j.bspc.2023.105446 (Impact Factor 5.1)
  25. Rohit R.V., Vipin Raj R., Dennis C. Kiplangat, Veena R., Rajan Jose, A.P. Pradeepkumar, K. Satheesh Kumar, Tracing the evolution and charting the future of geothermal energy research and development, Renewable and Sustainable Energy Reviews 184 (2023) 113531 https://doi.org/10.1016/j.rser.2023.113531 (Q1, CiteScore 26.3, Impact Factor 15.9)
  26. Renjini, A., Swapna, M. N. S., K. Satheesh Kumar, Sankararaman, S. I. “Time series and mel frequency analyses of wet and dry cough signals: A neural net classification.” Physica A: Statistical Mechanics and its Applications (2023): 129039.
    https://doi.org/10.1016/j.physa.2023.129039 (CiteScore 7.5, Impact Factor 3.3)
  27. Rajendran Pillai, V. R., Rajasekharan Nair Valsala, R., Raj, V., Petra, M. I., Krishnan Nair, S. K., Mathew, S., Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy: A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis. Designs, 7(3), 58 (2023), designs7030058 https://doi.org/10.3390/designs7030058
  28. Balasubramaniam S, Vijesh Joe C, Sivakumar T A, Prasanth A, K Satheesh Kumar, Kavitha V, Rajesh Kumar Dhanraj, Optimization enabled Deep Learning Based DDoS Attack Detection in Cloud Computing, International Journal of Intelligent Systems, Volume 2023, Article ID 2039217, (2023) https://doi.org/10.1155/2023/2039217
    (Impact Factor 7)
  29. Balasubramaniam, S., and K. Satheesh Kumar. “Optimal Ensemble Learning Model for COVID-19 detection using chest X-ray images.” Biomedical Signal Processing and Control Vol 81 (2023): 104392. (Listed by World Heath Organization on Global literature on coronavirus disease, Item 1.) (Impact Factor 5.1)
  30. Radhakrishnan, Ranjini, P. Manoj, and K. Satheesh Kumar. “The evolution and recent research trends of Surface Enhanced Raman Scattering sensors using plasmonics: Citation network analysis.” Materials Chemistry and Physics Vol 296 (2023): 127255.
    https://doi.org/10.1016/j.matchemphys.2022.127255 ( Q1, Impact Factor 4.6)
  31. Bijimol, B. I., Sreelekshmy, B. R., Satheesh Kumar, K., Ratheesh, A., Geethanjali, C. V., & Aboobakar Shibli, S. M., Microbial-Inspired Surface Patterning for Selective Bacterial Actions for Enhanced Performance in Microbial Fuel Cells. ACS Applied Bio Materials (2022). https://doi.org/10.1021/acsabm.2c00760
  32. Vijesh, Vijayan, K. Satheesh Kumar, M. S. Swapna, and S. Sankararaman. “Markov Chain: A Novel Tool for Electronic Ripple Analysis.” Indian Journal of Science and Technology 15, no. 39 (2022): 1971-1977. https://doi.org/10.17485/IJST/v15i39.1518
  33. Valsaraj, P., Drisya Alex Thumba, and Satheesh Kumar. “Machine learning-based simplified methods using shorter wind measuring masts for the time ahead wind forecasting at higher altitude for wind energy applications.” Renewable Energy and Environmental Sustainability 7 (2022): 24. https://doi.org/10.1051/rees/2022012
  34. Sherin, D. R., K. Satheesh Kumar, and T. K. Manojkumar. “Molecular simulations of CRANADs to disclose a specific cyanide sensor in aqueous media.” Computational and Theoretical Chemistry (2022): 113894. (Impact Factor 3.1)
    https://doi.org/10.1016/j.comptc.2022.113894
  35. Vijesh, Vijayan, Mohanachandran Nair Sindhu Swapna, Krishan Nair Satheesh Kumar, and Sankaranarayana Iyer Sankararaman. “Unwrapping aortic valve dysfunction through complex network analysis: A biophysics approach.” Journal of Applied Physics 132, no. 8 (2022): 084904. (Impact Factor 2.877)
    https://doi.org/10.1063/5.0102120
    in news:
    Newsweek: Scientists Build System That Allows Heart Disease Detection via App
    ScienceDaily: Low-cost disease diagnosis by mapping heart sounds
    Indian Express: Method to detect heart valve defects developed by Kerala university researchers
  36. Renjini, A., M. S. Swapna, Vimal Raj, K. Satheesh Kumar, and S. Sankararaman. “Complex network-based pertussis and croup cough analysis: A machine learning approach.” Physica D: Nonlinear Phenomena (2022): 133184. (Listed by World Heath Organization on Global literature on coronavirus disease, Item 5.) (Impact Factor 3.751)
    https://doi.org/10.1016/j.physd.2022.133184
  37. Valsaraj, P., Drisya Alex Thumba, and K. Satheesh Kumar. “Spatio-temporal independent applicability of one time trained machine learning wind forecast models: a promising case study from the wind energy perspective.” International Journal of Sustainable Energy (2022): 1-19. https://doi.org/10.1080/14786451.2022.2032060
  38. Balasubramaniam S and K. Satheesh Kumar, Fractional Feedback Political Optimizer with Prioritization-based Charge Scheduling in Cloud-assisted Electric Vehicular Network, Ad-hoc & Sensor Wireless Networks 52.3-4 (2022): 173-198. (2022)
  39. Mallika, M. C., Prabhaa, S. S., Asokan, K., Kumar, K. A., Ramamohan, T. R., & K. Satheesh Kumar. (2021). Testing for nonlinearity in nonstationary time series: A network-based surrogate data test. Physical Review E, 104(5), 054217. (Impact Factor 2.707) https://doi.org/10.1103/PhysRevE.104.054217
  40. Krishen, Anjala S., Yogesh K. Dwivedi, N. Bindu, and K. Satheesh Kumar. “A broad overview of interactive digital marketing: A bibliometric network analysis.” Journal of Business Research 131 (2021): 183-195. (Impact Factor 10.969)
    https://doi.org/10.1016/j.jbusres.2021.03.061
  41. Mallika MC, Asokan K, K. S. A. Kumar, Ramamohan TR, K. Satheesh Kumar, Improved tests for non-linearity using network-based statistics and surrogate data. Pramana. 2021 Sep;95(3):1-9. (Impact Factor 2.669 ) https://doi.org/10.1007/s12043-021-02181-2
  42. Achu, A. L., Jobin Thomas, C. D. Aju, Girish Gopinath, K. Satheesh Kumar, and Rajesh Reghunath. “Machine-learning modelling of fire susceptibility in a forest-agriculture mosaic landscape of southern India.” Ecological Informatics (2021): 101348. (Impact Factor 4.498) https://doi.org/10.1016/j.ecoinf.2021.101348
  43. Swapna, M. S., Vimal Raj, K. Satheesh Kumar, and S. Sankararaman. “Soot effected sample entropy minimization in nanofluid for thermal system design: A thermal lens study.” Journal of Molecular Liquids (2020): 114038. (Impact Factor 6.633)
    https://doi.org/10.1016/j.molliq.2020.114038
  44. Karunakaran, Varsha, Valliamma N. Saritha, Manu M. Joseph, Jyothi B. Nair, Giridharan Saranya, Kozhiparambil G. Raghu, Kunjuraman Sujathan, K. Satheesh Kumar, and Kaustabh K. Maiti. Diagnostic Spectro-cytology revealing differential recognition of cervical Cancer lesions by label-free surface enhanced Raman fingerprints and Chemomssetrics. Nanomedicine: Nanotechnology, Biology and Medicine (2020): 102276. (Impact Factor 6.458) https://doi.org/10.1016/j.nano.2020.102276
  45. Swapna, M. S., Vimal Raj, S. Sreejyothi, K. Satheesh Kumar, and S. Sankararaman. “Downscaling of sample entropy of nanofluids by carbon allotropes: A thermal lens study.” Chaos: An Interdisciplinary Journal of Nonlinear Science 30, no. 7 (2020): 073116. (Impact Factor 3.436) https://doi.org/10.1063/5.0009756
  46. Raj, Vimal, M. S. Swapna, K. Satheesh Kumar, and S. Sankararaman. “Time series analysis of duty cycle induced randomness in thermal lens system.” Optik (2020): 164720. (Impact Factor 2.84) https://doi.org/10.1016/j.ijleo.2020.164720
  47. Valsaraj, P., Drisya Alex Thumba, K. Asokan, and K. Satheesh Kumar. “Symbolic regression-based improved method for wind speed extrapolation from lower to higher altitudes for wind energy applications.” Applied Energy 260 (2020): 114270. (Impact Factor 11.2) https://doi.org/10.1016/j.apenergy.2019.114270
  48. Prabhaa, S. Suriya, N. Bindu, P. Manoj, and K. Satheesh Kumar. “Citation network analysis of plastic electronics: Tracing the evolution and emerging research fronts.” Materials Today: Proceedings (2020). (CiteScore: 2.3)
    https://doi.org/10.1016/j.matpr.2020.04.236
  49. Sankar, C Prem and Thumba, Drisya Alex and Ramamohan, TR and Chandra, SS Vinod and K Satheesh Kumar, Agent-based multi-edge network simulation model for knowledge diffusion through board interlocks, Expert Systems With Applications 141 (2020) 112962, (Impact Factor 8.665) https://doi.org/10.1016/j.eswa.2019.112962
  50. Bindu, N., C. Prem Sankar, and K. Satheesh Kumar. “From conventional governance to e-democracy: Tracing the evolution of e-governance research trends using network analysis tools.” Government Information Quarterly (2019). (Impact Factor 8.49)
    https://doi.org/10.1016/j.giq.2019.02.005
  51. Bindu, N., C. Prem Sankar, and K. Satheesh Kumar. “Research collaboration and knowledge sharing in e-governance: Temporal analysis of co-author network.” Transforming Government: People, Process and Policy 13.1 (2019): 2-33.(Scopus CiteScore 5.0) https://doi.org/10.1108/TG-03-2018-0022
  52. D.C. Kiplangat, G.V. Drisya, K. Asokan, K. Satheesh Kumar, Variation of wind speed distribution characteristics across Indian sub-continent, Int. J. Computing Science and Mathematics, Vol. 9, No. 6, 2018 https://doi.org/10.1504/IJCSM.2018.096308
  53. Eapen, Suja, K. Asokan, K. Satheesh Kumar, T. R. Ramamohan, and C. V. Anil Kumar. “Comparison of variations of TEC at disturbed and quiet time using nonlinear dynamics tools.” Journal of Geophysical Research: Space Physics, 123, (2018), (Impact Factor 3.111) https://doi.org/10.1029/2018JA025320
  54. Mridula, Meenu R., Ashalatha S. Nair, and K. Satheesh Kumar. “Genetic programming based models in plant tissue culture: An addendum to traditional statistical approach.” PLoS computational biology 14.2 (2018): e1005976. (IF 4.779)
    https://doi.org/10.1371/journal.pcbi.1005976
  55. G.V. Drisya, K. Asokan, K. Satheesh Kumar, Diverse dynamical characteristics across the frequency spectrum of wind speed fluctuations, Renewable Energy, Volume 119, April 2018, Pages 540–550, (Impact Factor 8.634)
    https://doi.org/10.1016/j.renene.2017.12.024
  56. G L Jayalekshmi, P R Prince, K Satheesh Kumar, Potential analysis of sunspot parameters and behaviour of random noise, Indian Journal of Radio & Space Physics, Vol 46,pp 55-65, 2017 (IF 0.231) https://core.ac.uk/reader/229214570
  57. C. Prem Sankar, Asharaf S., K. Satheesh Kumar (2016) Learning from Bees: An Approach for Influence Maximization on Viral Campaigns. PLoS ONE 11(12): e0168125. (IF 3.752) https://doi.org/10.1371/journal.pone.0168125
  58. Kiplangat, Dennis C., G. V. Drisya, K. Satheesh Kumar, Day-ahead prediction using time series partitioning with Auto-Regressive model, International Journal on Computer Science and Engineering (IJCSE), 8, 313–319, 2016.
    https://doi.org/10.48550/arXiv.2203.14910
  59. Kiplangat, Dennis C., K. Asokan, and K. Satheesh Kumar.“Improved week-ahead predictions of wind speed using simple linear models with wavelet decomposition.” Renewable Energy 93 (2016): 38-44. (Impact Factor 8.634)
    https://doi.org/10.1016/j.renene.2016.02.054
  60. Biji C.L., Manu K. Madhu,  Vineetha V.,  Satheesh Kumar K., Vijayakumar, Achuthsankar S. Nair, Compression of Large Genomic Datasets using COMRAD on Parallel Computing Platform, Bioinformation,11(5), 267–271, 2015.
    https://www.bioinformation.net/011/97320630011267.pdf
  61. C. Prem Sankar, K. Asokan, K. Satheesh Kumar*, Exploratory Social Network Analysis of Affiliation Networks of Indian Listed Companies Social Networks, Social Networks, 43, 113–120 2015. (IF 4.144) https://doi.org/10.1016/j.socnet.2015.03.008
  62. G. V. Drisya , D. C. Kiplangat, K. Asokan, and K. Satheesh Kumar, Deterministic prediction of surface wind speed variations. Annales Geophysicae. 32, 1415–1425, 2014. (IF 2.190) https://doi.org/10.5194/angeo-32-1415-2014
  63. R. C. Sreelekshmi, K. Asokan, and K. Satheesh Kumar*, Deterministic nature of the underlying dynamics of surface wind fluctuations, Ann. Geophys., 30, 1503-1514, 2012 (IF 2.190) https://doi.org/10.5194/angeo-30-1503-2012
  64. K. Satheesh Kumar and J. Ravi Prakash, Universal consequences of the presence of excluded volume interactions in dilute polymer solutions undergoing shear flow, J. Chem. Phys. 121 (8), 3886-3897 (2004) (Selected for the August 15, 2004 issue of Virtual Journal of Biological Physics Research.) (IF 4.304) https://doi.org/10.1063/1.1775185
  65. K. Satheesh Kumar, Benny George, G. Renuka, C.V. Anil Kumar and C. Venugopal, Analysis of the fluctuations of the total electron content (TEC) measured at Goose Bay using the tools of nonlinear methods, J. Geophys. Res., 109, A02308, (2004) (IF 3.111) https://doi.org/10.1029/2002JA009768
  66. K. Satheesh Kumar and J. Ravi Prakash, Equilibrium swelling and universal ratios in dilute polymer solutions: Exact Brownian dynamics simulations for a delta function excluded volume potential, Macromolecules, 36 (20), 7842-7856 (2003) Impact Factor 6.057 https://doi.org/10.1021/ma034296f
  67. Benny George, G. Renuka, K. Satheesh Kumar, C. Venugopal and C. P. Anil Kumar, Nonlinear Time Series Analysis of the Fluctuations of the Geomagnetic Horizontal Field, Annales Geophysicae, 20, 175- 183 (2001) https://doi.org/10.5194/angeo-20-175-2002
  68. S. Savithri, K. Satheesh Kumar and T. R. Ramamohan, Erratum: Chaotic rheological parameters of periodically forced slender rods in simple shear flow by K. Satheesh Kumar and T. R. Ramamohan, [J. Rhoeol.39(6) 1229-1241, (1995)] Journal of Rheology, 42(4) 995-996, (1998)
  69. K. Satheesh Kumar, S. Savithri and T. R. Ramamohan, Review of chaotic behaviour of suspensions of slender rods in simple shear flow, in: M. J. Adams, R. A. Mashelkar, J. R. A. Pearson A. R. Rennie (Eds.), Dynamics of Complex Fluids, Imperial College Press- The Royal Society, London, 1998, pp 286-300.
  70. C. V. Anil Kumar, K. Satheesh Kumar and T. R. Ramamohan, Erratum : Chaotic dynamics of periodically forced spheroids in simple shear flow with potential application to particle separation, Rheologica Acta, 35, 523, (1996).
  71. K. Satheesh Kumar, S. Savithri and T. R. Ramamohan, Chaotic dynamics and rheology of suspensions of periodically forced slender rods in simple shear flow, Jpn J. Appl. Phys. Vol. 35, 5901-5908, (1996). https://doi.org/10.1143/JJAP.35.5901
  72. C. V. Anil Kumar, K. Satheesh Kumar and T. R. Ramamohan, Chaotic dynamics of periodically forced spheroids in simple shear flow with potential application to particle separation, Rheologica Acta, 34, 504- 511, (1995). Impact Factor 2.824
    https://doi.org/10.1007/BF00396563
    (listed in the Current World Literature Section in current Opinion in Colloid and interface Science, vol 1/4 , (1996))
  73. K. Satheesh Kumar and T. R. Ramamohan, Chaotic rheological parameters of periodically forced slender rods in simple shear flow, Journal of Rheology, 39(6) 1229-1241, (1995). (Impact Factor 4.534) https://doi.org/10.1122/1.550729
  74. K. Asokan, C. V. Anil Kumar, J. Dasan, K. Radhakrishnan, K. Satheesh Kumar and T. R. Ramamohan, Review of chaos in the dynamics and rheology of suspensions of orientable particles in simple shear flow subject to an external periodic force, Journal of Non-Newtonian Fluid Mechanics, 129, 128-142 (2005) (Impact Facor 3.112)
    https://doi.org/10.1016/j.jnnfm.2005.06.003
  75. In Conferences
  76. K. Satheesh Kumar, Network-based time series modelling and forecasting, National Conference on Time Series, Analytics, and Recent Advances in Statistical Modelling (NCTAS-2025) organized by the Department of Statistics, School of Mathematics, Statistics, and Computational Sciences, Central University of Rajasthan, in conjunction with the 5th National Conference of the Rajasthan Statistical Association, held during February 10–11, 2025 (Monday and Tuesday). (Invited talk)
  77. Sreedhanya, L.R., Kumar, K.S. (2025). Artificial Intelligence Cyber Physical System Platform for Industry 4.0. In: Pareek, P., Mishra, S., Reis, M.J.C.S., Gupta, N. (eds) Cognitive Computing and Cyber Physical Systems. IC4S 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-031-77078-4_4
  78. Balasubramaniam S., Arishma M. and K. Satheesh Kumar, Prediction of Breast Cancer using Ensemble Learning and Boosting Techniques, 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), 2024
    https://doi.org/10.1109/IC3SE62002.2024.10593047
  79. L. B. Reshmi; M. C. Mallika; V. Vijesh; K. Satheesh Kumar, Chaotic time series forecast based on weighted state transition network, AIP Conf. Proc. 3037, 020037 (2024) https://doi.org/10.1063/5.0196080
  80. Vijayan Vijesh; K. Satheesh Kumar; Mohanachandran Nair Sindhu Swapna; Sankaranarayana Iyer Sankararaman, Complex network based Fourier analysis for signal processing, AIP Conf. Proc. 3037, 020011 (2024) https://doi.org/10.1063/5.0196030
  81. Vijayan Vijesh; K. Satheesh Kumar; Mohanachandran Nair Sindhu Swapna; Sankaranarayana Iyer Sankararaman, Markov chain approach to rectifier circuits AIP Conf. Proc. 3037, 020012 (2024) https://doi.org/10.1063/5.0196031
  82. Reshmi, L. B., Mallika, M. C., Vijesh, V., K. Satheesh Kumar (2023, April). Generalized Symbolic Dynamics Weighted Network Prediction of Chaotic Time Series. In International Symposium on Intelligent Informatics: Proceedings of ISI 2022 (pp. 103-108). Singapore: Springer Nature Singapore. https://link.springer.com/chapter/10.1007/978-981-19-8094-7_8
  83. L. B. Reshmi, M. C. Mallika , V. Vijesh, and K. Satheesh Kumar, Chaotic Time Series Forecast Based on Weighted State Transition Network, American Institute Physics (AIP) conference proceedings, 2023 (in press).
  84. Suriyaprabhaa, S., Gopinath, G., Sangeerthana, R., Alfiya, S., Asha, P., & Kumar, K. S. (2021). Generalized Symbolic Dynamics Approach for Characterization of Time Series. In Advances in Computing and Network Communications (pp. 53-61). Springer, Singapore. https://link.springer.com/chapter/10.1007/978-981-33-6977-1_5
  85. Mohan, A., Vijesh, V., Thumba, D. A., & Kumar, K. S. (2019, December). Recurrence Network-Based Approach to Distinguish Between Chaotic and Quasiperiodic Solution. In International Symposium on Signal Processing and Intelligent Recognition Systems (pp. 368-375). Springer, Singapore.
    https://link.springer.com/chapter/10.1007/978-981-15-4828-4_30
  86. K. Satheesh Kumar, Drisya Alex Thumba, D. C. Kiplangat, Wind energy modelling and forecasting, International Conference on Photochemistry and Sustainable Energy (ICPSE 2019) organized by Department of Chemistry, St. Michael’s College, Alapuzha during October 16-19, 2019
  87. Vijesh V, K. Satheesh Kumar, Detecting Dynamical properties of a system using time series associated network characteristics, School Level Academic Meet (AIAM-2019), School of Technology, University of Kerala during 25-29 March 2019.
  88. Vijesh V, K. Satheesh Kumar, Capturing the Chaotic behavior of a time series by the induced complex network, National Seminar on Computational Mathematics and Machine Lerning (NSCM2L-2019) held at Department of Mathematics, University of Kerala, during 17-19, January, 2019
  89. Ardhana,Vijesh V, Drisya Alex Thumba, K. Satheesh Kumar, Recurrence network-based approach to distinguish between chaotic and quasi periodic solution, International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’2019) held at IIITM-K, Trivandrum, India, during 18-21, December 2019.
  90. Mallika M.C., K. Satheesh Kumar, Study the system behaviour through complex networks, National Seminar on Computational Mathematics and Machine Learning (NSCM-L-2019) held at Department of Mathematics, University of Kerala, during 17-19, January, 2019
  91. D.C. Kiplangat, K.Asokan, G V Drisya and K Satheesh Kumar. Empirical Estimation of return period and distribution of duration of wind speed exceedances, IEEERAICS-2018, IEEE Kerala Section, Trivandrum during December 06 – 08, 2018.
    https://ieeexplore.ieee.org/abstract/document/8634901
  92. Vijesh V, G V Drisya and K Satheesh Kumar. Network based periodicity detection of a time series, IEEERAICS-2018, IEEE Kerala Section, Trivandrum during December 06 – 08, 2018. https://ieeexplore.ieee.org/abstract/document/8634897
  93. Valsaraj, P., G. V. Drisya, and K. Satheesh Kumar. “A Novel Approach for the Extrapolation of Wind Speed Time Series to Higher Altitude Using Machine Learning Model.” 2018 International CET Conference on Control, Communication, and Computing (IC4). IEEE, 2018. https://ieeexplore.ieee.org/abstract/document/8530935
  94. Prem Sankar C, Vinod Chandra S S and Satheesh Kumar K. Dynamics of Sematic Networks of Independence Day Speeches, 2018 International CET Conference on Control, Communication, and Computing (IC4). IEEE, 2018.
    https://ieeexplore.ieee.org/abstract/document/8531016
  95. Mallika M.C., Drisya G V, Anil Kumar K S and Satheesh Kumar K. Effect of white noise on the structural properties of time series-arose networks, 2018 International CET Conference on Control, Communication, and Computing (IC4). IEEE, 2018.
    https://ieeexplore.ieee.org/abstract/document/8530919
  96. Mallika M.C., Prem Sankar C, Anil Kumar K S and Satheesh Kumar K. Computational Techniques for Constructing Complex Networks from Time Series, INFOFEST- 2018, SAC Chengannoor, April 27 – 28, 2018.
  97. G. V. Drisya, Vijesh v., Prem Sankar C., and K. Satheesh Kumar, Complex dynamic networks generated from chaotic time series – a case study of Chua circuit, 30th Kerala Science Congress held at Government Brennen College, Thalassery, 28-30 January 2018.
  98. Bindu N and K. Satheesh Kumar, Past, present and future of E-governance : An empirical network analysis, 27th Swadeshi Science Congress, Amritha School of Engineering, Kollam, 7-9 November 2017
  99. Drisya G. V. and K. Satheesh Kumar, A wavelet, AR nd SVM based hybrid method for short-term wind speed prediction, 27th Swadeshi Science Congress, Amritha School of Engineering, Kollam, 7-9 November 2017
  100. K. Satheesh Kumar, Social network analysis – applications and computational tools, 3rd International symposium on intelligent systems technologies and applications (ISTA’17) held at Manipal University, Karnataka during 13-16 September 2017
    (Keynote)
  101. C. Premsankar and K. Satheesh Kumar, Indetifying hidden semanic patterns from text networks using network analysis, 3rd world conference on applied science, engineering and technology held in Singapore during 29-30 June 2017.
  102. K. Satheesh Kumar, Time independent wind speed prediction models based on machine learning techniques, 3rd world conference on applied science, engineering and technology held in Singapore during 29-30 June 2017.
  103. C. Prem Sankar and K. Satheesh Kumar, Influence of homophily in corporate governance of Indian companies, International conference on corporate governance and emerging trends held at University of Calicut during 7-8 June 2017.
  104. Kumar, R. Ajith, MK Muhammed Aslam, VP Jagathy Raj, T. Radhakrishnan, K. Satheesh Kumar, and T. K. Manojkumar. “A statistical analysis of soil fertility of Thrissur district, Kerala.” In Data Science and Engineering (ICDSE), 2016 International Conference on, pp. 1-5. IEEE, 2016. https://ieeexplore.ieee.org/abstract/document/7823953
  105. K. Satheesh Kumar, Tracing the research trajectory of development on human rights, Two day national workshop on inter-disciplinary research in human rights, Department of Law, University of Kerala 9-10 December 2016.
  106. GV Drisya and K Satheesh Kumar. Empirical mode decomposition and chaos based prediction model for wind speed oscillations. In 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), pages 306–311. IEEE, 2015.
    https://ieeexplore.ieee.org/abstract/document/7488433
  107. Prem Sankar C, R. Vidyaraj, K. Satheesh Kumar, Trust based stock recommendation system – a social network analysis approach, ICICT 2014, Procedia Computer Science 46 ( 2015 ) 299 – 305. https://doi.org/10.1016/j.procs.2015.02.024
  108. K. Satheesh Kumar, An introduction to social network analysis, National seminar on gender responsive sustainable development: rhetoric vs reality, Department of Sociology, University of Kerala, 30,31 March 2015
  109. K. Satheesh Kumar, Social Network Analysis – applications of graph theory in social science, Two days UGC sponsored National Seminar on ‘Recent Advances in Mathematical Analysis, Algebra and Discrete Mathematics (NSRAMAADM 2015), March 19-20, 2015’
  110. K. Satheesh Kumar, Coarse grained polymer models and their simulations, U.G.C. Sponsored Seminar on Interdisciplinary Research in Chemical Sciences, MMNSS College Kottiyam, Kollam, 31 December 2014
  111. Vidyaraj Raman, Prem Sankar C, Satheesh Kumar K, Asokan K and Midhun Raj V., Analysis of road network of the buffer area of Kochi metro rail service using tools of social network analysis, International Conference on Information Science (ICIS 2014), Cochin, July 4-5, 2014. pdf Link
  112. Jayalekshmi G. L., P. R. Prince and K. Satheesh Kumar, Comparative study of potential analysis of sunspot numbers, sunspot area and sunspot unit area, proceedings of the national seminar Advances in Geophysics, Space and Atmospheric Research (AGSAR-2014) organized by the Department of Physiscs, Christian College, Chengannur, Kerala, March 13-15, 2014.
  113. C. Prem Sankar and K. Satheesh Kumar, Social Network Analysis of Knowledge Diffusion through Board Interlocks in Indian Listed Companies, National Conference on recent trends in information technology, Sree Ayyappa College, Eramallikkara, Chengannur – 695109, March 7-8, 2014.
  114. K. Satheesh Kumar, Non-linear time series analysis: knowing the underlying dynamics of irregular fluctuations, National Conference on Scientific Computing -2013 (NCSC-2013), Indian Institute of Information technology and Management – Kerala (IIITM-K), Technopark, Thiruvananthapuram, Kerala, India, 21 June 2013.
  115. Hyderali Chevidikkunnan and K. SatheeshKumar, Forecast of Electrical Energy Consumption and Peak Hour Load Demand in Kerala using Symbolic Regression, 13th National Conference on Technological Trends (NCTT 2012), College of Engineering, Thiruvananthapuram – ­ 16, Kerala, India, August 10­-11, 2012
  116. Geethu. N. Gopal and K. Satheesh Kumar, Predicting Road accidents in Kerala using Artificial Neural Networks, 13th National Conference on Technological Trends (NCTT 2012), College of Engineering, Thiruvananthapuram – ­ 16, Kerala, India, August 10­-11, 2012
  117. K. Asokan and K. Satheesh Kumar, Modelling the Wind Speed Oscillation Dynamics, Eco-friendly Computing and Communication Systems Communications in Computer and Information Science, Springer-Verlag Berlin Heidelberg, 2012, Volume 305,Part 7, 311-318, https://doi.org/10.1007/978-3-642-32112-2_37
  118. K. Satheesh Kumar, Modeling and Simulation, Workshop on Research Trends Tools, Modelling and Writing Skills organized by the Department of Computer Applications, SaintGits College of Engineering, Kottayam, Kerala on 20 April 2012.
  119. K. Satheesh Kumar, Ito Calculus and Polymer Solutions, National Workshop cum conference on scientific computing, organized by IIITM-K on 11-14 January 2012 at IIITM-K, Technopark, Thiruvananthapuram
  120. K. Satheesh Kumar, Brownian Dynamics Simulation of Polymer Solutions, UGC sponsored Seminar EDUCHEM – 2009 Theoretical Models with Computers for Chemical Phenomena, October 15-16, 2009 at Sree Narayana College, Punalur (2009) (invited)
  121. K. Satheesh Kumar and Wokyung Sung, Dynamical properties of DNA under confinement, (2005 APS meeting, Los Angels, USA) Bulletin of the American Physical Society, Vol 50, No 1, Part 2, 2005 (USA)
    https://ui.adsabs.harvard.edu/abs/2005APS..MARW29009K/abstract
  122. K. Satheesh Kumar and Wokyung Sung, Dynamical properties of a polymer chain under a flow within a channel, Bulletin of the Korean Physical Society, 22 (2), Jeju Island, S. Korea (2004) (Invited).
  123. K. Satheesh Kumar and J. Ravi Prakash, Universal shear rate dependence of the viscosity of dilute polymer solutions in the presence of excluded volume interactions, Proceedings of the 31st Australian Chemical Engineering Conference (CHEMECA), Adelaide, Australia (2003)
    https://search.informit.org/doi/abs/10.3316/INFORMIT.906141006405883
  124. Benny George, K. Satheesh Kumar, C. V. Anil Kumar, G. Renuka, and C. Venugopal, Period-doubling and chaotic behaviour of the Geomagnetic horizontal intensity investigated by wavelet transform techniques, National conference on radio Science, Nov. 27-29, 2003, NPL, New Delhi.
  125. Benny George , G. Renuka , C. V. Anil Kumar and K. Satheesh Kumar, Chaotic behaviour of the storm time ring current index Dst, XII National Space Science Symposium (NSSS-2002), Barkatullah University, Bhopal, Feb. 25-28, 2002
  126. Benny George , C. V. Anil Kumar , K. Satheesh Kumar and G. Renuka, Modelling of chaotic time series of the fluctuation of the total Electron Content (TEC), PLASMA 2002 – Proceedings of 17th National Symposium on Plasma Science and Technology, Bharathiar University, Coimbatore, Dec. 16- 19, 2002, Ed: V. Selvarajan, Allied Publishers Pvt Ltd
  127. Benny George , C. V. Anil Kumar , K. Satheesh Kumar and G. Renuka, Modelling of chaotic time series of the fluctuation of the Geomagnetic horizontal field, PLASMA 2002 – Proceedings of 17th National Symposium on Plasma Science and Technology, Bharathiar University, Coimbatore, Dec. 16-19, 2002, Ed: V. Selvarajan, Allied Publishers Pvt Ltd
  128. Benny George, G. Renuka and K. Satheesh Kumar, Chaotic behaviour of TEC in the ionosphere, PLASMA-2001 – The 16th National Symposium on Science and Technology, Guwahati, Assam, Dec. 17-20, 2001
  129. Benny George, G. Renuka, C. Venugopal and K. Satheesh Kumar, Wavelet analysis of the geomagnetic horizontal field measured at Kodaikanal, AGU Chapman conference on storm – substorm relationship, March 12-16, 2001, at Lonavala (Organized by Indian Institute of Geomagnetism, Mumbai, India).
  130. Invited Talks
  131. Invited talk at International Conference on Photochemistry and Sustainable Energy (ICPSE 2019) held ta Alappuzha during 16-19 October 2019
  132. Delivered talks at the One Week National Workshop on Design and Development of MOOCs held at the University of Kerala during 2-8 December 2019
  133. Invited talk in the workshop of Outcome Based Education (OBE) and Information Communication Technology (ICT) at St. Michael’s College, Cherthala on 10 March 2020
  134. Invited talk on Citation Network Analysis at the Workshop on Research Methodology organized by the Mahatama Gandhi University, Kottayam on 20 January 2020
  135. Invited talk on “E-learning resources’ at St. John’s College, Anchal on 28 January 2020
  136. Invited lecture on Nature inspired optimization at faculty development programme on “Nature Inspired Computing” organized by the School of Engineering, Division of Computer Science and Engineering, Cochin University of Science and Technology during 22-28 June 2022
  137. Invited to deliver a talk on “Artificial Intelligence – an overview” at the workshop on “AI – the future prospects in healthcare” organised by KIMS college of nursing, Thiruvananthapuram on 11 December 2023
  138. Invited to deliver a talk on “Time series-induced networks and their predictive capabilities” at Frontiers symposium in data science, (FS-DSC 2024) to be held on the 9th and 10th of February 2024, IISER, Thiruvananthapurm Symposium
  139. General/Introductory Talks
  140. Delivered a talk on “Creative paths in teaching Mathematics” organized by IQAC, St. Michael’s College, Cherthala, India on 7-1-2025
  141. Delivered a talk on AI in Social Science Research organized by Sree Narayana College, Chempazhanthy on 16-12-2024.
  142. Delivered an invited talk on knowledge engineering as part the national technology day celebrations at C-DAC (Centre for Development of Advanced Computing), Thiruvananthapuram, on 11 May 2023.
  143. Resource person to the three day national workshop on enabling Quality Publications” bheld at School of Management and Legal Studies, University of Kerala during 22-24 June 2022
  144. Resource person to the summer school on “Applied NLP and Unstructured Data Analytics” held at International Centre for Free and Open Source Software (ICFOSS) during 4-17 May 2022 Coordinated and delivered lectures t refresher course in citation network analysis and exploratory data analysis using R at the UGC-Human Resource Development Centre, University of Kerala during 18 February 2020 to 2 March 2020.
  145. Delivered invited lectures on training programme on academic leadership organized by Centre for Academic Leadership and Education Management, AMU, Aligarh held at University of Kerala during April 2-5, 2019
  146. Delivered invited talk on creating audio video lessons ar the three-day National workshop on developing content for online courses on functional English for adult learners help at University of Kerala during January 14-16, 2019
  147. Delivered lectures as a resource person to national workshop on modern breakthroughs in number theory and discrete geometric problems held at the Department of Mathematics, University of Kerala during 10-13 December 2019
  148. Delivered a lecture on citation network analysis as a resource person at 13th KUHS national conference on students’s medical research 2019 organized by the Department of Community Medicine. Government Medical College, Thiruvananthapuram during 15-16 November 2019
  149. Delivered lectures as a resource person in the TEQIP II sponsored faculty development programme “Trajectory into computer science with Mathematics” organized by TKM college of Engineering during January 7-12, 2019
  150. Delivered lectures as a resource person in the two national workshop on statistical data analysis using R software organized by Krishna Menon Memorial Government Women’s College, Kannur during November 22-23 November 2019 (oral)
  151. K. Satheesh Kumar, Applications of graph theory in literature review, Short term course on applied Mathematics for engineering research sponsored by AICTE, Centre for Interdisciplinary Research, College of Engineering, Thiruvananthapuram, 11-15 December 2017
  152. Influence maximization on online viral campaign, TEQIP II sponsored programme on “Optimization techniques in engineering research” held at College of Engineering, Perumon, Kollam on 28-07-2016.
  153. Know your research area, TEQUIP II in TEQUIP II sponsored Faculty Development Programme on “How to start your research” held at T. K. M. engineering College, Kollam on 20 – 07 – 2016.
  154. Main path analysis – tracing the evolution trajectory of research fields, Two-day workshop on research methodology, University of Kerala, Kariavattom, 18-7-2016
  155. Mathermatics of optimization, in TEQUIP II sponsored Faculty Development Programme on “Contemporary Development in Optimisation Techniques and its applications” held at T. K. M. engineering College, Kollam on 18 – 5 – 2016.
  156. Training on R, UGC-HRDC, University of Calicut, 9-5-2015
  157. Advanced data analysis and plotting, 6 day workshop on research methodology in science, UGC – Academic staff college, University of Calicut, 17-03-2015.
  158. An introduction to E-learning, Mar Ivanios College, Thiruvananthapuram, 02-08-2014
  159. Digital technologies in Higher Education, Department of Environmental Sciences, University of Kerala, 21-03-2014.
  160. Fostering Scientific Temper, S. N. College, Kollam, 28-02-2014
  161. Science for the society, Govt. Arts College, Thiruvananthapuram, 19 – 02 – 2014
  162. Given a series of lectures at UGC-Academic Staff College, University of Kerala, Kariavattom on “Wavelet – a new paradigm” for participants of Refresher Course in Mathematics on 21-22 May 2010
  163. Given a series of lectures at UGC-Academic Staff College, University of Kerala, Kariavattom on “Wavelet Analysis” for participants of Refresher Course in Physics in November 2009
  164. Given an invited talk on “Brownian Dynamics Simulation of Biomolecues” on 10th November 2009 at School of Biotechnology, Amrita Vishva Vidyapeetham University, Amritapuri, Clappana P.O., Kollam, India – 690 525 (2009)
  165. Resource person to orientation programme on SPSS and R software held Govt. College of Teacher Education, Thiruvananthapuram during 21-23 February 2019
  166. Invited lecture on the national workshop on statistical data analysis using r software at Krishna Menon memorial government women’s college, Kannur, Kerala during 22-23 November 2019
  167. Resource person to TEQIP II programme “trajectory into computer science and mathematics” held at TKM College of engineering during 7-12 January 2019
  168. Resource person to deliver lectures on “Empowering the researcher in you with R” at V. T. Bhattathiripad College, Mannampatta, Palakkad, Kerala during 14-16 January 2020
  169. Resource person to 13th KUHS Nationa conference on students medical research 2019 organised by Department of Community Medicine, Government medical college, Thiruvananthapuram, Kerala during 15-16 November 2019
  170. Resource person to national level workshop on modern breakthroughs in number theoretic and discrete geometric problems (NTDG 2019) during 10-13 December 2019
  171. Delivered two lecture in te course 4-day training programme on academic leadership (Vice-chancellors/Pro vice Chancellors Directors, Deans, Chairpersons, head of the Departments) on 2-4-2019 held at University of Kerala organized by the Centre of Academic Leadership and Education Management (CALEM) Aligarh Muslim University
  172. Delivered an invited talk on citation network analysis on the three day workshop on enabling quality publications organised by the researchers forum, Department of Commerce School of Business Management and Legal studies, University of Kerala during 22-24 June 2022
  173. Was a resource person om 23-06-2022 for the three day faculty development programme on Nature Inspired Computing organised by School of Engineering, Cochin University of Science and technology during 22-28 June 2022.
  174. Conducted, as the main resource person, one week national workshop on “R Programming for Marine and Fishery Data Management” organised by Department of Marine Biology, Microbiology & Biochemistry, CUSAT from 13 November 2023.

 Edited Volume/Book

    1. Balasubramaniam S, Seifedine Kadry, Manoj Kumar TK, K. Satheesh Kumar , editors. Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection. CRC Press; 2025. ISBN 9781032865485 Link

  1. Patent No.: 533589, Application number: 201941012155
    Name of inventors: Dr K. Satheesh Kumar, Dr Drisya G. V., Dr Valsaraj P.
    Title: A MACHINE LEARNING-BASED WIND SPEED PREDICTION SYSTEM FOR HIGHER ALTITUDE USING LOWER WIND MAST

Interdisciplinary and Collaborative Research Initiatives

    • Collaboration with:
      • Universiti Malaysia Pahang, Malaysia
      • Universiti Brunei, Darussalam
      • Ming Chi University of Technology, Taiwan
      • IISER, Thiruvananthapuram

Major Academic, Research, or Societal Accomplishments

      • Developed network-based time series forecasting method (rare in literature)
      • Developed LLM for plastic waste management
      • Guided several M.Sc. dissertations
      • Reviewer for several reputed international journals
Phone:
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Email:
satheesh.kumar@duk.ac.in
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