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Talks/ Presentation
- Served as Judge in National Science Seminar-2024 at state level at Rajasthan Legislative Assembly, Jaipur on 12 September 2024 organized by Department of Science and Technology/ Regional Science Centre and Science Park, Jaipur, Government of Rajasthan
- Resource person for lectures in “Machine learning using python” in “MHRD sponsored certificate course in Computer Aided Drug Design” organized by Birla Institute of Scientific Research, Jaipur during Oct 7’2022 – March 25’ 2023
- Invited speaker in “International Workshop on Machine Learning and Human Intelligence” organized by Manipal University, Jaipur on August 30, 2022
- Lecture on “Python for Data Analytics- Big Data Context and BioInformatics Use Cases” at International workshop on Systems Bioinformatics and Biopython Modules” during 04-08 February 2020 at Bioinformatics Centre, Birla Institute of Scientific Research, Jaipur
- “Scalable Machine Perception - A Case of Big Data” at Indo-German Spring School on Algorithms for Big Data at IITB during February 18 ? 22, 2019, funded by the IIT Bombay and the German Research Foundation (DFG) (presented as participant)
Students Training Program Conducted
- Summer Training Workshop for students - “Data Analytics using R” during August 22-24, 2022, Resource Persons: Dr. Vishwambhar Pathak, Dr. Seema Gaur
- Summer Training Program (May16-18, 2016) on “Image Processing and its applications using Matlab and R language” for students of BIT MESRA Jaipur Campus.
- Summer Training Program (May16-18, 2015) on “Summer Training Image Processing and its applications using Matlab and R language” for students of BIT MESRA Jaipur Campus.
- One week Summer Training Program (May11-16, 2015) on “Statistical Data Analysis and Image Processing Using R and Python” for students of BIT MESRA Jaipur Campus.
Book Chapter
- Pathak, V., Dhyani, P., Mahanti, P., & Gaur, V. (2021). Tracking Slow Modulations of Effective Connectivity for Early Epilepsy Detection: A Review. Knowledge Modelling and Big Data Analytics in Healthcare, 229-255. [eBook ISBN 9781003142751]
- (Scopus) Gupta, A., Dhyani, P., Rishi, O.P, and Pathak, V., A Framework for e-Governance Using Federation of Cloud, in Proceedings of Smart Systems and IoT: Innovations in Computing, Springer Nature Singapore Pte Ltd, 2019
- (Scopus) Vishwambhar Pathak, “Autonomous Market Segments Estimation Using Density Conscious Artificial Immune System Learner”, in Maximizing Business Performance and Efficiency through Intelligent Systems by IGI Global, MKP Technologies, USA, ISBN13: 9781522522348 DOI:10.4018/978-1-5225-2234-8, pp 110-135, Feb 2017
- Vishwambhar Pathak, Non-linear Autoregressive Dendritic Cell Algorithm Based Stock Predictor Employing Exogenous Variables, In Business Analytics and Intelligence: A Compendium, I. K. International Publishing House Pvt. Ltd., ISBN: 978-93- 85909-54- 2, pp. 1847-1856, 2016.
Journal Papers
- [WoS(ESCI)/Scopus] Muralinath RN, Pathak V, Mahanti PK. Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels. Future Internet. 2025; 17(3):102. https://doi.org/10.3390/fi17030102 [https://www.scopus.com/sourceid/21100409311] [CiteScore -7.1/ 5yr Impact factor -3.0]
- Vishwambhar Pathak, Prabhat Mahanti, Analysis of Directional Functional Connectivity During Perceptual Decision Making Using Autoregressive Immune System, Journal of Next Generation Information Technology (JNIT), 9(1), 22-31, Convergence Information Society (CIS), Korea, 2018
- Gupta, A., Dhyani, P., Rishi, O.P., Pathak, V., A Novel Service Broker Policy for e-Governance using Federation of cloud, International Journal of Computer Sciences and Engineering, 6(11), 515-521, E-ISSN: 2347-2693, 2018 [UGC approved till 2019; 3.802] [https://www.ijcseonline.org/]
- Seema Gaur, Praveen Dhyani, Vishwambhar Pathak, Reformation of Co-Author Communities with Metagraph, International Journal of Engineering Science Invention (IJESI), 7(3), 47-50, e-ISSN: 2319 – 6734, 2018
- Vishwambhar Pathak, Prabhat Mahanti, Estimating Cointegration and Forecast of Multiple Time-Series Using Autoregressive T-Cell-Receptors Algorithm, Advances in Information Sciences and Service Sciences (AISS) Volume9, Number2, 2017
- Vishwambhar Pathak, Prescriptive Data Mining: Neurative Genomics and Solutions for Neuropsychiatric Disorders, CSI Comunications, 39(7), Oct 2015, pp 10-12.
- Pathak, V., Dhyani, P., & Mahanti, P. (2013). Autonomous image segmentation using density-adaptive dendritic cell algorithm. International Journal of Image, Graphics and Signal Processing, 5(10), 26., MECS Publishers ISSN 2074-9074 (Print), ISSN 2074-9082 (Online).
- Pathak, V., Dhyani, P., & Mahanti, P. (2012). AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 3(3), 5-11. ISSN 2067-3957 (online), ISSN 2068 - 0473 (print).
- Pathak, V., Dhyani, P., & Mahanti, P. (2011). Data clustering with artificial innate immune system adding probabilistic behaviour. International Journal of Data Mining and Emerging Technologies Vol. 1 No.2, November, 2011, 77-84, DOI: 10.5958/j.2249-3212.1.2.5”
Conference Papers
- Muralinath, R. N., Pathak, V., & Mahanti, P. K. (2024, October). Optimizing Spectral Graph Kernels for Time-Delay Embedding of Multichannel EEG Data. In Proceedings of the 2024 8th International Conference on Algorithms, Computing and Systems (pp. 62-67)., October 11-13, 2024, HongKong, ACM ISBN 979-8-4007-1830-4/24/10, https://dl.acm.org/doi/10.1145/3708597.3708607
- (Presented on Sept 27, 2024) Sharma, K, Tanishq Sharma, T. *Pathak, V. PANT, D., Mahanti, P.K., On Discovery of Latent patterns for Context Aware Generative AI Workflow for Stock Price Manipulation Detection International Conference on Artificial Intelligence Research Trends, Emerging Technologies & Opportunities, Sept 25-28, at Institute for Education, Saraikella-Kharsawan, Jharkhand, India
- (Scopus) Pathak, V., Gaur, V., Mahanti, P. K., & Chandra, S. (2023, June). Exploring the Efficacy of Explainable Deep Learning in Identifying Neuromarkers for Precise Prediction of Epilepsy and Causal Connectivity Analysis. In Proceedings of the 2023 15th International Conference on Computer Modeling and Simulation (pp. 126-132).
- (Presented) Vishwambhar Pathak, Vivek Gaur, Shubham Shukla, Deep Computational Investigation of Causal brain structures of Epilepsy using EEG, International Conference on Recent Trends in Engineering and Sciences (RTES-2023), May 02-03, 2023
- Vishwambhar Pathak, Prabhat K Upadhyay, Vivek Gaur, Deep Learning Framework for Causal Connectivity based Epileptic Neuromarkers from Multi-channel EEG, ACCS8: 8th Annual Conference of Cognitive Science, 20-22 Jan 2022, Amrita Mind Brain Center, Amrita Vishwa Vidyapitham, Amritapuri.
- Vishwambhar Pathak, Deep Autoregressive Immune System Learning Neural Correlates of Decision Making, Presented in the 5th International Conference on Business Analytics and Intelligence, held from December 11 to 13 , 2017 at IIM, Bangalore
- (Scopus) Pathak, V., & Dhyani, P. (2015, December). Neuronal feature extraction through autonomous segmentation using density conscious artificial immune algorithm. In 2015 Third International Conference on Image Information Processing (ICIIP) (pp. 326-329). IEEE.
- (Scopus) Pathak, V., Dhyani, P., Dhyani, M., & Sharma, P. (2014, May). Circular morphological feature extraction for nuclear medicine facilitation. In International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014) (pp. 1-6). IEEE.
- Anil Sharma, V. Pathak, G.S. Dangaich, “Adaptive process planning based on manufacturing resource modeling”, accepted at International Conference on Advanced Manufacturing Technologies” CMERI, Durgapur, India, Oct 2007.
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