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2020 – today
- 2024
[j55]Shayantan Halder, Satyaki Roy
, Preetam Ghosh, Nirnay Ghosh:
ADRIN2.0: Enabling Post-Disaster Communication Through Adaptive Mobility-Informed Routing. IEEE Access 12: 102368-102380 (2024)- [j54]William C. Sleeman, Martha I. Roseberry, Preetam Ghosh, Alberto Cano, Bartosz Krawczyk:
Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms. Appl. Intell. 54(23): 12558-12575 (2024) - [j53]Musaddiq K. Lodi, Anna Chernikov, Preetam Ghosh:
COFFEE: consensus single cell-type specific inference for gene regulatory networks. Briefings Bioinform. 25(6) (2024) - [j52]Satyaki Roy, Nirnay Ghosh, Nitish M. Uplavikar, Preetam Ghosh:
Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions. ACM Comput. Surv. 56(2): 38:1-38:32 (2024) - [c69]Shayantan Halder, Satyaki Roy, Preetam Ghosh, Nirnay Ghosh:
ADRIN: An Adaptive and Distributed Routing Mechanism for Challenged IoT Networks. COMSNETS 2024: 769-772 - [i8]Kusal Debnath, Pratip Rana, Preetam Ghosh:
GramSeq-DTA: A grammar-based drug-target affinity prediction approach fusing gene expression information. CoRR abs/2411.01422 (2024) - 2023
- [j51]Priyankar Bose, Pratip Rana, Preetam Ghosh:
Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications. IEEE Access 11: 80624-80646 (2023) - [j50]William C. Sleeman, Rishabh Kapoor, Preetam Ghosh:
Multimodal Classification: Current Landscape, Taxonomy and Future Directions. ACM Comput. Surv. 55(7): 150:1-150:31 (2023) - [j49]Kevin R. Pilkiewicz, Pratip Rana, Michael L. Mayo, Preetam Ghosh:
Predicting Supramolecular Structure from the Statistics of Individual Molecular Events. Mob. Networks Appl. 28(2): 491-498 (2023) - [j48]Satyaki Roy, Pratyay Dutta, Preetam Ghosh:
Hierarchical Vaccine Allocation Based on Epidemiological and Behavioral Considerations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2981-2991 (2023) - [j47]Satyaki Roy, Priyankar Bose, Preetam Ghosh:
Curbing Pandemic Through Evolutionary Algorithm-Based Priority Aware Mobility Scheduling. IEEE Trans. Intell. Transp. Syst. 24(4): 3759-3768 (2023) - [i7]William C. Sleeman IV, Rishabh Kapoor, Preetam Ghosh:
Neural Network Architecture for Database Augmentation Using Shared Features. CoRR abs/2302.01374 (2023) - [i6]Preetam Ghosh, Vaishali Sadaphal:
JobRecoGPT - Explainable job recommendations using LLMs. CoRR abs/2309.11805 (2023) - [i5]Ahmad F. Al Musawi, Satyaki Roy, Preetam Ghosh:
A Review of Link Prediction Applications in Network Biology. CoRR abs/2312.01275 (2023) - 2022
- [j46]Satyaki Roy, Preetam Ghosh, Nirnay Ghosh, Sajal K. Das:
Transcriptional Regulatory Network Topology with Applications to Bio-inspired Networking: A Survey. ACM Comput. Surv. 54(8): 166:1-166:36 (2022) - [j45]Utsa Roy, Satyaki Roy, Rajshekhar Khan, Preetam Ghosh, Nirnay Ghosh:
MCR: A Motif Centrality-Based Distributed Message Routing for Disaster Area Networks. IEEE Internet Things J. 9(24): 25337-25349 (2022) - [j44]Preetam Ghosh, Swalpa Kumar Roy, Bikram Koirala, Behnood Rasti, Paul Scheunders:
Hyperspectral Unmixing Using Transformer Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c68]Satyaki Roy, Preetam Ghosh:
Examining post-pandemic behaviors influencing human mobility trends. BCB 2022: 40:1-40:10 - [c67]Satyaki Roy, Ahmad F. Al Musawi, Preetam Ghosh:
Cost-effective Vaccine Provisioning using Coalitional Game Theory. BIBM 2022: 795-798 - [i4]Satyaki Roy, Nirnay Ghosh, Nitish M. Uplavikar, Preetam Ghosh:
Towards a Unified Pandemic Management Architecture: Survey, Challenges and Future Directions. CoRR abs/2202.07448 (2022) - [i3]Preetam Ghosh, Swalpa Kumar Roy, Bikram Koirala, Behnood Rasti, Paul Scheunders:
Deep Hyperspectral Unmixing using Transformer Network. CoRR abs/2203.17076 (2022) - 2021
- [j43]Satyaki Roy, Ronojoy Dutta, Preetam Ghosh:
Optimal Time-Varying Vaccine Allocation Amid Pandemics With Uncertain Immunity Ratios. IEEE Access 9: 15110-15121 (2021) - [j42]Satyaki Roy, Andrii Cherevko, Sayak Chakraborty, Nirnay Ghosh, Preetam Ghosh:
Leveraging Network Science for Social Distancing to Curb Pandemic Spread. IEEE Access 9: 26196-26207 (2021) - [j41]Priyankar Bose, Satyaki Roy, Preetam Ghosh:
A Comparative NLP-Based Study on the Current Trends and Future Directions in COVID-19 Research. IEEE Access 9: 78341-78355 (2021) - [j40]Satyaki Roy, Preetom Biswas, Preetam Ghosh:
Effectiveness of Network Interdiction Strategies to Limit Contagion During a Pandemic. IEEE Access 9: 95862-95871 (2021) - [j39]Preetam Ghosh, Joseph Pateras, Vijayaraghavan Rangachari, Ashwin Vaidya:
A network thermodynamic analysis of amyloid aggregation along competing pathways. Appl. Math. Comput. 393: 125778 (2021) - [j38]Satyaki Roy, Ronojoy Dutta, Preetam Ghosh:
Towards Dynamic lockdown strategies controlling pandemic spread under healthcare resource budget. Appl. Netw. Sci. 6(1): 2 (2021) - [j37]Satyaki Roy, Preetam Ghosh:
Scalable and distributed strategies for socially distanced human mobility. Appl. Netw. Sci. 6(1): 95 (2021) - [j36]Khajamoinuddin Syed, William C. Sleeman IV, Payal Soni, Michael Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh:
Machine-Learning Models for Multicenter Prostate Cancer Treatment Plans. J. Comput. Biol. 28(2): 166-184 (2021) - [j35]Satyaki Roy, Nirnay Ghosh, Preetam Ghosh, Sajal K. Das:
bioMCS 2.0: A distributed, energy-aware fog-based framework for data forwarding in mobile crowdsensing. Pervasive Mob. Comput. 73: 101381 (2021) - [j34]Getulio Pereira, Preetam Ghosh, Anderson Santos:
A Bridging Centrality Plugin for GEPHI and a Case Study for Mycobacterium Tuberculosis H37Rv. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2741-2746 (2021) - [j33]Satyaki Roy, Preetom Biswas, Preetam Ghosh:
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 321-331 (2021) - [c66]Priyankar Bose, William C. Sleeman IV, Khajamoinuddin Syed, Michael Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh:
Deep neural network models to automate incident triage in the radiation oncology incident learning system. BCB 2021: 51:1-51:10 - [c65]Satyaki Roy, Pratyay Dutta, Preetam Ghosh:
Generalizable multi-vaccine distribution strategy based on demographic and behavioral heterogeneity. BIBM 2021: 1495-1498 - [c64]Satyaki Roy, Ronojoy Dutta, Nirnay Ghosh, Preetam Ghosh:
Adaptive Motif-based Topology Control in Mobile Software Defined Wireless Sensor Networks. CCNC 2021: 1-6 - [c63]Satyaki Roy, Ronojoy Dutta, Nirnay Ghosh, Preetam Ghosh:
Leveraging Periodicity to Improve Quality of Service in Mobile Software Defined Wireless Sensor Networks. CCNC 2021: 1-2 - [i2]William C. Sleeman IV, Rishabh Kapoor, Preetam Ghosh:
Multimodal Classification: Current Landscape, Taxonomy and Future Directions. CoRR abs/2109.09020 (2021) - 2020
- [j32]Debmalya Barh, Sandeep Tiwari, Marianna E. Weener, Vasco Ariston de Carvalho Azevedo, Aristóteles Góes-Neto, M. Michael Gromiha, Preetam Ghosh:
Multi-omics-based identification of SARS-CoV-2 infection biology and candidate drugs against COVID-19. Comput. Biol. Medicine 126: 104051 (2020) - [j31]William C. Sleeman IV, Joseph Nalluri, Khajamoinuddin Syed, Preetam Ghosh, Bartosz Krawczyk, Michael Hagan, Jatinder Palta, Rishabh Kapoor:
A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. J. Biomed. Informatics 109: 103527 (2020) - [j30]Khajamoinuddin Syed, Ahmed Abdelzaher, Michael L. Mayo, Preetam Ghosh:
Similar Feed-forward Loop Crosstalk Patterns may Impact Robust Information Transport Across E. coli and S. Cerevisiae Transcriptional Networks. Mob. Networks Appl. 25(5): 1970-1982 (2020) - [j29]Khajamoinuddin Syed, Ahmed Abdelzaher, Michael L. Mayo, Preetam Ghosh:
Correction to: Similar Feed-forward Loop Crosstalk Patterns may Impact Robust Information Transport Across E. coli and S. Cerevisiae Transcriptional Networks. Mob. Networks Appl. 25(5): 1983 (2020) - [c62]Pratip Rana, Priyankar Bose, Ashwin Vaidya, Vijayaraghavan Rangachari, Preetam Ghosh:
Global fitting and parameter identifiability for amyloid-β aggregation with competing pathways. BIBE 2020: 73-78 - [c61]Satyaki Roy, Nirnay Ghosh, Preetam Ghosh, Sajal K. Das:
bioMCS: A Bio-inspired Collaborative Data Transfer Framework over Fog Computing Platforms in Mobile Crowdsensing. ICDCN 2020: 23:1-23:10
2010 – 2019
- 2019
- [j28]Somenath Das, Ramana M. Pidaparti, Preetam Ghosh:
An integrated parametric model for MT self-assembly formation analysis. Biosyst. 176: 6-12 (2019) - [c60]Kevin R. Pilkiewicz, Pratip Rana, Michael L. Mayo, Preetam Ghosh:
Self-Assembly from a Single-Molecule Perspective. BICT 2019: 147-155 - [c59]Amita Goyal Chin, Preetam Ghosh, Nirmalya Roy:
Introduction to the Minitrack on Multi-criteria Decision Analysis and Support Systems. HICSS 2019: 1-2 - [c58]Khajamoinuddin Syed, William C. Sleeman IV, Joseph Nalluri, Payal Soni, Michael Hagan, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh:
Treatment Practice Analysis of Intermediate or High Risk Localized Prostate Cancer: A Multi-center Study with Veterans Health Administration Data. ICCABS 2019: 134-146 - [c57]Edian F. Franco, Dener Maués, Ronnie Alves, Luis Guimarães, Vasco Ariston de Carvalho Azevedo, Artur Silva, Preetam Ghosh, Jefferson Morais, Rommel Thiago Juca Ramos:
A Clustering Approach to Identify Candidates to Housekeeping Genes Based on RNA-seq Data. BSB 2019: 83-95 - 2018
- [c56]Ahmed F. Abdelzaher, Preetam Ghosh, Ahmad F. Al Musawi, Ju Wang:
Application of Social Network Analytics to Assessing Different Care Coordination Metrics. HCI (14) 2018: 151-160 - [c55]Joseph Nalluri, Khajamoinuddin Syed, Pratip Rana, Paul Hudgins, Ibrahim Ramadan, William Nieporte, William C. Sleeman IV, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh:
A smart healthcare portal for clinical decision making and precision medicine. ICDCN Workshops 2018: 9:1-9:6 - 2017
- [j27]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Social Influence Spectrum at Scale: Near-Optimal Solutions for Multiple Budgets at Once. ACM Trans. Inf. Syst. 36(2): 14:1-14:26 (2017) - [c54]Satyaki Roy, Mayank Raj, Preetam Ghosh, Sajal K. Das:
Role of motifs in topological robustness of gene regulatory networks. ICC 2017: 1-6 - 2016
- [j26]Diego C. B. Mariano, Felipe L. Pereira, Edgar L. Aguiar, Letícia de Castro Oliveira, Leandro Benevides, Luis Guimarães, Edson Luiz Folador, Thiago J. Sousa, Preetam Ghosh, Debmalya Barh, Henrique C. P. Figueiredo, Artur Silva, Rommel Ramos, Vasco Ariston de Carvalho Azevedo:
SIMBA: a web tool for managing bacterial genome assembly generated by Ion PGM sequencing technology. BMC Bioinform. 17(S-18): 65-72 (2016) - [j25]Edson Luiz Folador, Paulo Vinícius Sanches Daltro de Carvalho, Wanderson Marques Silva, Rafaela Salgado Ferreira, Artur Silva, M. Michael Gromiha, Preetam Ghosh, Debmalya Barh, Vasco Ariston de Carvalho Azevedo, Richard Röttger:
In silico identification of essential proteins in Corynebacterium pseudotuberculosis based on protein-protein interaction networks. BMC Syst. Biol. 10: 103:1-103:9 (2016) - [j24]Pratip Rana, Preetam Ghosh, Kevin Pilkiewicz, Edward J. Perkins, Chris Warner, Michael L. Mayo:
Capacity estimates of additive inverse Gaussian molecular channels with relay characteristics. EAI Endorsed Trans. Wirel. Spectr. 2(9): e3 (2016) - [j23]Khajamoinuddin Syed, Bhanu K. Kamapantula, Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
Abundance of connected motifs in transcriptional networks, a case study using random forests regression. EAI Endorsed Trans. Mob. Commun. Appl. 2(10): e3 (2016) - [j22]Bhanu K. Kamapantula, Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
The Structural Role of Feed-Forward Loop Motif in Transcriptional Regulatory Networks. Mob. Networks Appl. 21(1): 191-205 (2016) - [j21]Ahmed Abdelzaher, Thang N. Dinh, Michael L. Mayo, Preetam Ghosh:
Optimal topology of gene-regulatory networks: role of the average shortest path. EAI Endorsed Trans. Self Adapt. Syst. 2(7): e3 (2016) - [c53]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Multiple Infection Sources Identification with Provable Guarantees. CIKM 2016: 1663-1672 - [c52]Azade Nazi, Mayank Raj, Mario Di Francesco, Preetam Ghosh, Sajal K. Das:
Efficient Communications in Wireless Sensor Networks Based on Biological Robustness. DCOSS 2016: 161-168 - [i1]Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo, Thang N. Dinh:
Multiple Infection Sources Identification with Provable Guarantees. CoRR abs/1608.06492 (2016) - 2015
- [j20]Ahmed Abdelzaher, Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
Contribution of canonical feed-forward loop motifs on the fault-tolerance and information transport efficiency of transcriptional regulatory networks. Nano Commun. Networks 6(3): 133-144 (2015) - [c51]Joseph Nalluri, Pratip Rana, Vasco Ariston de Carvalho Azevedo, Debmalya Barh, Preetam Ghosh:
Determining influential miRNA targets in diseases using influence diffusion model. BCB 2015: 519-520 - [c50]Khajamoinuddin Syed, Bhanu K. Kamapantula, Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
Abundance of connected motifs in transcriptional networks, a case study using random forests regression. BICT 2015: 108-115 - [c49]Ramana Pidaparti, Somenath Das, Preetam Ghosh:
An Algorithm for stable Microtubule Curvature Conformation. BICT 2015: 144-147 - [c48]Pratip Rana, Preetam Ghosh, Kevin Pilkiewicz, Edward J. Perkins, Chris Warner, Michael L. Mayo:
Capacity estimates of additive inverse Gaussian molecular channels with relay characteristics. BICT 2015: 237-240 - [c47]Ahmed Abdelzaher, Thang N. Dinh, Michael L. Mayo, Preetam Ghosh:
Optimal topology of gene-regulatory networks: role of the average shortest path. BICT 2015: 241-244 - [c46]Thang N. Dinh, Hung T. Nguyen, Preetam Ghosh, Michael L. Mayo:
Social Influence Spectrum with Guarantees: Computing More in Less Time. CSoNet 2015: 84-103 - [c45]Azade Nazi, Mayank Raj, Mario Di Francesco, Preetam Ghosh, Sajal K. Das:
Exploiting Gene Regulatory Networks for Robust Wireless Sensor Networking. GLOBECOM 2015: 1-7 - 2014
- [j19]Bhanu K. Kamapantula, Ahmed Abdelzaher, Preetam Ghosh, Michael L. Mayo, Edward J. Perkins, Sajal K. Das:
Leveraging the robustness of genetic networks: a case study on bio-inspired wireless sensor network topologies. J. Ambient Intell. Humaniz. Comput. 5(3): 323-339 (2014) - [j18]Azade Nazi, Mayank Raj, Mario Di Francesco, Preetam Ghosh, Sajal K. Das:
Deployment of robust wireless sensor networks using gene regulatory networks: An isomorphism-based approach. Pervasive Mob. Comput. 13: 246-257 (2014) - [c44]Ahmed Abdelzaher, Preetam Ghosh, Ahmad F. Al Musawi, David S. Jackson, John A. Palesis, Jonathan P. DeShazo:
Care coordination metrics of patients sharing among physicians: a social network analytic approach. BCB 2014: 635-636 - [c43]Ahmed Abdelzaher, Michael L. Mayo, Preetam Ghosh, Edward J. Perkins:
Correlating In silico Feed-forward Loop Knockout Experiments with the Topological Features of Transcriptional Regulatory Networks. BICT 2014 - [c42]Somenath Das, Ramana Pidaparti, Preetam Ghosh:
Modeling Self-organization of Microtubules from Tubulins. BICT 2014 - [c41]Bhanu K. Kamapantula, Michael L. Mayo, Edward J. Perkins, Ahmed Abdelzaher, Preetam Ghosh:
Feature ranking in transcriptional networks: Packet receipt as a dynamical metric. BICT 2014 - [c40]Bhanu K. Kamapantula, Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
Dynamical impacts from structural redundancy of transcriptional motifs in gene-regulatory networks. BICT 2014 - [c39]Michael L. Mayo, Ahmed Abdelzaher, Bhanu K. Kamapantula, Edward J. Perkins, Preetam Ghosh:
Networks of interactions between feed-forward loop transcriptional motifs in gene-regulatory networks. BICT 2014 - [c38]Michael L. Mayo, Ahmed Abdelzaher, Preetam Ghosh:
Mixed Degree-Degree Correlations in Directed Social Networks. COCOA 2014: 571-580 - [c37]Clinton M. Winfrey, Benjamin A. Baldwin, Mary Ann Cummings, Preetam Ghosh:
OSM: an evolutionary system of systems framework for modeling and simulation. SpringSim (ANSS) 2014: 1 - 2013
- [j17]Gaurav Ghag, Preetam Ghosh, A. Mauro, Vijayaraghavan Rangachari, Ashwin Vaidya:
Stability analysis of 4-species Aβ aggregation model: A novel approach to obtaining physically meaningful rate constants. Appl. Math. Comput. 224: 205-215 (2013) - [c36]Joseph Nalluri, Bhanu K. Kamapantula, Preetam Ghosh, Debmalya Barh, Neha Jain, Lucky Juneja, Neha Barve:
Determining miRNA-disease associations using bipartite graph modelling. BCB 2013: 672 - [c35]Azade Nazi, Mayank Raj, Mario Di Francesco, Preetam Ghosh, Sajal K. Das:
Robust Deployment of Wireless Sensor Networks Using Gene Regulatory Networks. ICDCN 2013: 192-207 - 2012
- [c34]Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Kurt A. Gust, Edward J. Perkins:
Genome scale inference of transcriptional regulatory networks using mutual information on complex interactions. BCB 2012: 643-648 - [c33]Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Kurt A. Gust, Edward J. Perkins:
sCoIn: A scoring algorithm based on complex interactions for reverse engineering regulatory networks. BIBE 2012: 572-577 - [c32]Preetam Ghosh, Bhaswati Datta, Vijayaraghavan Rangachari:
Computational Predictions for the Nucleation Mass and Lag times Involved in Aβ42 Peptide Aggregation. BIOINFORMATICS 2012: 312-316 - [c31]Ahmed Abdelzaher, Bhanu K. Kamapantula, Preetam Ghosh, Sajal K. Das:
Empirical prediction of packet transmission efficiency in bio-inspired Wireless Sensor Networks. ISDA 2012: 705-710 - [c30]Bhanu K. Kamapantula, Ahmed Abdelzaher, Preetam Ghosh, Michael L. Mayo, Edward J. Perkins, Sajal K. Das:
Performance of wireless sensor topologies inspired by E. coli genetic networks. PerCom Workshops 2012: 302-307 - 2011
- [j16]Srisairam Achuthan, Bong Jae Chung, Preetam Ghosh, Vijayaraghavan Rangachari, Ashwin Vaidya:
A modified Stokes-Einstein equation for Aβ aggregation. BMC Bioinform. 12(S-10): S13 (2011) - [j15]Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
First-passage time analysis of a one-dimensional diffusion-reaction model: application to protein transport along DNA. BMC Bioinform. 12(S-10): S18 (2011) - [c29]Michael L. Mayo, Edward J. Perkins, Preetam Ghosh:
Downstream Exploration of DNA-Bound Searching Proteins: A Diffusion-Reaction Model. BIBE 2011: 21-26 - [c28]Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Edward J. Perkins:
A Scalable Information Theory Based Gene Regulatory Network Inference Method from Time Series and Knock-Out Data. BICoB 2011: 74-79 - [c27]Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Edward J. Perkins:
Poster: Gene regulatory network inference using time lagged context likelihood of relatedness. ICCABS 2011: 236 - [c26]Preetam Ghosh, Bhaswati Datta, Vijayaraghavan Rangachari:
Poster: In silico hypotheses of the Ass42 peptide aggregation process in Alzheimer's disease. ICCABS 2011: 244 - [c25]Vijender Chaitankar, Preetam Ghosh, Mohamed O. Elasri, Edward J. Perkins:
sREVEAL: Scalable extensions of REVEAL towards regulatory network inference. ISDA 2011: 1365-1370 - [c24]Preetam Ghosh, Michael L. Mayo, Vijender Chaitankar, Tanwir Habib, Edward J. Perkins, Sajal K. Das:
Principles of genomic robustness inspire fault-tolerant WSN topologies: A network science based case study. PerCom Workshops 2011: 160-165 - 2010
- [j14]Vijender Chaitankar, Preetam Ghosh, Edward J. Perkins, Ping Gong, Chaoyang Zhang:
Time lagged information theoretic approaches to the reverse engineering of gene regulatory networks. BMC Bioinform. 11(S-6): S19 (2010) - [j13]Preetam Ghosh, Amit Kumar, Bhaswati Datta, Vijayaraghavan Rangachari:
Dynamics of protofibril elongation and association involved in Aβ42 peptide aggregation in Alzheimer's disease. BMC Bioinform. 11(S-6): S24 (2010) - [j12]Vijender Chaitankar, Preetam Ghosh, Edward J. Perkins, Ping Gong, Youping Deng, Chaoyang Zhang:
A novel gene network inference algorithm using predictive minimum description length approach. BMC Syst. Biol. 4(S-1): S7 (2010) - [j11]Hyun Jung Choe, Preetam Ghosh, Sajal K. Das:
QoS-aware data reporting control in cluster-based wireless sensor networks. Comput. Commun. 33(11): 1244-1254 (2010) - [j10]Preetam Ghosh, Sajal K. Das:
Mobility-aware cost-efficient job scheduling for single-class grid jobs in a generic mobile grid architecture. Future Gener. Comput. Syst. 26(8): 1356-1367 (2010) - [c23]Vijender Chaitankar, Preetam Ghosh, Chaoyang Zhang, Ping Gong, Edward J. Perkins:
Effects of cDNA microarray time-series data size on gene regulatory network inference accuracy. BCB 2010: 410-413 - [c22]Preetam Ghosh, Amit Kumar, Bhaswati Datta, Vijayaraghavan Rangachari:
Estimating the dynamics of protofibril elongation involved in Aβ42 peptide aggregation in Alzheimer's disease. BCB 2010: 451-453
2000 – 2009
- 2009
- [j9]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
Parametric modeling of protein-DNA binding kinetics: A discrete event based simulation approach. Discret. Appl. Math. 157(10): 2395-2415 (2009) - [c21]Hyun Jung Choe, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
Class-Based Data Reporting Scheme in Heterogeneous Wireless Sensor Networks. ICCCN 2009: 1-6 - [c20]Preetam Ghosh, Kalyan Basu, Sajal K. Das, Chaoyang Zhang:
In-Silico Effects of Mg2+ Diffusion Rates on Stochastic Event Based Simulation of the PhoPQ System. IJCBS 2009: 405-411 - [c19]Vijender Chaitankar, Chaoyang Zhang, Preetam Ghosh, Edward J. Perkins, Ping Gong, Youping Deng:
Gene Regulatory Network Inference Using Predictive Minimum Description Length Principle and Conditional Mutual Information. IJCBS 2009: 487-490 - [c18]Sourav Pal, Sumantra R. Kundu, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
A framework for fast handoff in IEEE 802.11 based systems. IWQoS 2009: 1-5 - [c17]Hyun Jung Choe, Preetam Ghosh, Sajal K. Das:
Cross-Layer Design for Adaptive Data Reporting in Wireless Sensor Networks. PerCom Workshops 2009: 1-6 - 2008
- [j8]Amin R. Mazloom, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
CoCONet: A collision-free container-based core optical network. Comput. Networks 52(10): 2013-2032 (2008) - [j7]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
Improving end-to-end quality-of-service in online multi-player wireless gaming networks. Comput. Commun. 31(11): 2685-2698 (2008) - [j6]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
Holding time estimation for reactions in stochastic event-based simulation of complex biological systems. Simul. Model. Pract. Theory 16(10): 1615-1639 (2008) - 2007
- [j5]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
A Novel Photonic Container Switched Architecture and Scheduler to Design the Core Transport Network. IEEE Trans. Computers 56(8): 1087-1104 (2007) - [j4]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
A Computationally Fast and Parametric Model to Estimate Protein-Ligand Docking Time for Stochastic Event Based Simulation. Trans. Comp. Sys. Biology 8: 14-41 (2007) - [j3]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
A Game Theory-Based Pricing Strategy to Support Single/Multiclass Job Allocation Schemes for Bandwidth-Constrained Distributed Computing Systems. IEEE Trans. Parallel Distributed Syst. 18(3): 289-306 (2007) - [c16]Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
Modeling the Stochastic Dynamics of Gene Expression in Single Cells: A Birth and Death Markov Chain Analysis. BIBM 2007: 308-316 - [c15]Preetam Ghosh, Nirmalya Roy, Sajal K. Das:
Mobility-Aware Efficient Job Scheduling in Mobile Grids. CCGRID 2007: 701-706 - [c14]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
Modeling protein-DNA binding time in Stochastic Discrete Event Simulation of Biological Processes. CIBCB 2007: 439-446 - [c13]Preetam Ghosh, Nirmalya Roy, Kalyan Basu, Sajal K. Das, Paul Wilson, Prabir Das:
A Case Study-based Performance Evaluation Framework for CSCF Processes on a Blade-Server. ICNS 2007: 87 - [c12]Sourav Pal, Preetam Ghosh, Amin R. Mazloom, Sumantra R. Kundu, Sajal K. Das:
Two Phase Scheduling Algorithm for Maximizing the Number of Satisfied Users in Multi-Rate Wireless Systems. WOWMOM 2007: 1-9 - 2006
- [j2]Haitao Lin, Preetam Ghosh, Prabir Das:
Wireless Networks Revenue Optimization through Overload Control with Priority Services. J. Commun. 1(4): 22-30 (2006) - [c11]Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
iSimBioSys: A Discrete Event Simulation Platform for 'in silico' study of biological systems. Annual Simulation Symposium 2006: 204-213 - [c10]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
A Stochastic model to estimate the time taken for Protein-Ligand Docking. CIBCB 2006: 1-8 - [c9]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
An analytical model to estimate the time taken for cytoplasmic reactions for stochastic simulation of complex biological systems. GrC 2006: 79-84 - [c8]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das, Simon Daefler:
Stochastic Modeling of Cytoplasmic Reactions in Complex Biological Systems. ICCSA (1) 2006: 566-576 - 2005
- [j1]Preetam Ghosh, Nirmalya Roy, Sajal K. Das, Kalyan Basu:
A pricing strategy for job allocation in mobile grids using a non-cooperative bargaining theory framework. J. Parallel Distributed Comput. 65(11): 1366-1383 (2005) - [c7]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
A photonic container switched transport network to support long-haul traffic at the core. BROADNETS 2005: 104-113 - [c6]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
A Cross-layer design to improve quality of service in online multiplayer wireless gaming networks. BROADNETS 2005: 875-884 - [c5]Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. Das:
A Diffusion Model to Estimate the Inter-arrival Time of Charged Molecules in Stochastic Event based Modeling of Complex Biological Networks. CSB Workshops 2005: 19-22 - [c4]Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems. CSB Workshops 2005: 170-171 - [c3]Preetam Ghosh, Kalyan Basu, Sajal K. Das:
Cost-Optimal Job Allocation Schemes for Bandwidth-Constrained Distributed Computing Systems. HiPC 2005: 40-50 - [c2]Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. Das:
GaMa : An Evolutionary Algorithmic Approach for the Design of Mesh-Based Radio Access Networks. LCN 2005: 374-381 - 2004
- [c1]Preetam Ghosh, Nirmalya Roy, Sajal K. Das, Kalyan Basu:
A Game Theory Based Pricing Strategy for Job Allocation in Mobile Grids. IPDPS 2004
Coauthor Index
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