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Preetam Ghosh
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2020 – today
- 2024
- [j53]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) - [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 - 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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