Abhishek Verma

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 74

Top Venues

CoRR

UEMCON

CCWC

Int. J. Comput. Vis. Robotics

Publications

Abhishek Verma, Sachin Kumar Verma, Avinash Chandra Pandey, Jyoti Grover, Girish Sharma
Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT. Future Gener. Comput. Syst. 159 (2024)
Girish Sharma, Jyoti Grover, Abhishek Verma
A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN. CoRR (2024)
Yuan Xing, Dongfang Hou, Jason Liu, Holly Yuan, Abhishek Verma, Wei Shi
Deep Learning and Game Theory for AI-Enabled Human-Robot Collaboration System Design in Industry 4.0. CCWC (2024)
Abhishek Verma, Virender Ranga
Machine Learning Based Intrusion Detection Systems for IoT Applications. CoRR (2023)
Mrunal Prakash Gavali, Abhishek Verma
Automatic Recognition of Emotions in Speech With Large Self-Supervised Learning Transformer Models. AIBThings (2023)
Akram Zine Eddine Boukhamla, Abhishek Verma
HyDroid: android malware detection using network flow combined with permissions and intent filter. Int. J. Mob. Commun. 22 (1) (2023)
Girish Sharma, Jyoti Grover, Abhishek Verma
Performance evaluation of mobile RPL-based IoT networks under version number attack. Comput. Commun. 197 (2023)
Sachin Kumar Verma, Abhishek Verma, Avinash Chandra Pandey
Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks. CoRR (2023)
Abhishek Verma, Yong-Hong Kuo, M. Manoj Kumar, Saurabh Pratap, Velvet Chen
A data analytic-based logistics modelling framework for E-commerce enterprise. Enterp. Inf. Syst. 17 (6) (2023)
Abhishek Verma, Virender Ranga
Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review. CoRR (2023)
Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito
Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case. CLOSER (2023)
Shefali Goel, Abhishek Verma, Vinod Kumar Jain
CRA-RPL: A Novel Lightweight challenge-Response authentication-based technique for securing RPL against dropped DAO attacks. Comput. Secur. 132 (2023)
Rakesh Kumar Yadav, Abhishek, Abhishek Verma, Prashant Shukla, Katyayani Verma, Shekhar Verma
Low-rank GAT: toward robust quantification of neighborhood influence. Neural Comput. Appl. 35 (5) (2023)
Yuan Xing, Abhishek Verma
Optimize Path Planning for Drone-based Wireless Power Transfer System by Categorized Reinforcement Learning. CCWC (2023)
Anil Kumar Prajapati, Emmanuel S. Pilli, Ramesh Babu Battula, Abhishek Verma
A Defense Solution to Secure Low-Power and Lossy Networks Against DAO Insider Attacks. TENCON (2023)
Chary Vielma, Abhishek Verma, Doina Bein
Sentiment Analysis with Novel GRU based Deep Learning Networks. AIIoT (2023)
Abhishek Verma, Virender Ranga
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. CoRR (2023)
Girish Sharma, Jyoti Grover, Abhishek Verma
QSec-RPL: Detection of version number attacks in RPL based mobile IoT using Q-Learning. Ad Hoc Networks 142 (2023)
Abhishek Verma, Virender Ranga
CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis. CoRR (2023)
Shefali Goel, Abhishek Verma, Vinod Kumar Jain
A Lightweight Mitigation Approach for Addressing DDAO Attacks in RPL-based Internet of Things. IC3 (2023)
Girish Sharma, Jyoti Grover, Abhishek Verma
A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN. ANTS (2023)
Oguzhan Akan, Abhishek Verma
Machine Learning Models for Customer Churn Risk Prediction. UEMCON (2022)
Abhishek Verma, Manas Agrawal, Kartik Gupta, Aatif Jamshed, Anurag Mishra, Harsh Khatter, Gopal Gupta, Sanjeev Chandra Neupane
Plantosphere: Next Generation Adaptive and Smart Agriculture System. J. Sensors 2022 (2022)
Anurag Shukla, Deepak Singh, Mohit Sajwan, Abhishek Verma, Ajit Kumar
A source location privacy preservation scheme in WSN-assisted IoT network by randomized ring and confounding transmission. Wirel. Networks 28 (2) (2022)
Abhimanyu Ghosh, Abhishek Verma
Implementing Collaborative Online International Learning (COIL) in Regular Engineering Coursework. FIE (2022)
Abhishek Verma, Akhilesh Singh, Anurag Chauhan, Arun Kumar Rana
Wireless Sensor Network Using IOT Security: Architecture, Challenges and Proposed Model. IC3I (2022)
Abhishek Verma, Virender Ranga
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. Computing 103 (7) (2021)
Piyush Singh, Abhishek Verma, John Sahaya Rani Alex
Disease and pest infection detection in coconut tree through deep learning techniques. Comput. Electron. Agric. 182 (2021)
Joel Varma Dirisam, Doina Bein, Abhishek Verma
Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org. CCWC (2021)
Abhimanyu Ghosh, Abhishek Verma
Thematic analysis of reflective peer feedback in programming-heavy engineering courses. FIE (2021)
Prashant Shukla, Abhishek Verma, Abhishek, Shekhar Verma, Manish Kumar
Interpreting SVM for medical images using Quadtree. Multim. Tools Appl. 79 (39-40) (2020)
Sneha Bharti, Suruchi Sharma, Abhishek Verma, Manisha Bharti, Baljit Kaur
Performance analysis of Pocket Doped Junction-Less TFET. ISDCS (2020)
Abhishek Verma, Virender Ranga
Addressing Copycat Attacks in IPv6-Based Low Power and Lossy Networks. SAI (2) (2020)
Abhishek Verma, Virender Ranga
Machine Learning Based Intrusion Detection Systems for IoT Applications. Wirel. Pers. Commun. 111 (4) (2020)
Yukhe Lavinia, Holly H. Vo, Abhishek Verma
New colour fusion deep learning model for large-scale action recognition. Int. J. Comput. Vis. Robotics 10 (1) (2020)
Abhishek Verma, Suruchi Sharma, Sneha Bharti, Manisha Bharti, Baljit Kaur
Design of Tunnel Junction Engineered Dopingless TFET for Low power Applications. ISDCS (2020)
Abhishek Verma, Virender Ranga
Mitigation of DIS flooding attacks in RPL-based 6LoWPAN networks. Trans. Emerg. Telecommun. Technol. 31 (2) (2020)
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Large-scale scene image categorisation with deep learning-based model. Int. J. Comput. Vis. Robotics 10 (3) (2020)
Abhishek Verma, Virender Ranga
CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis. Telecommun. Syst. 75 (1) (2020)
Jithin Eapen, Abhishek Verma, Doina Bein
Improved big data stock index prediction using deep learning with CNN and GRU. Int. J. Big Data Intell. 7 (4) (2020)
Krantiraditya Dhalmahapatra, Rohan Shingade, Harshawardhan Mahajan, Abhishek Verma, Jhareswar Maiti
Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering. Comput. Ind. Eng. 128 (2019)
Jithin Eapen, Doina Bein, Abhishek Verma
Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction. CCWC (2019)
Abhishek Verma, Piyush Singh, John Sahaya Rani Alex
Modified Convolutional Neural Network Architecture Analysis for Facial Emotion Recognition. IWSSIP (2019)
Paul K. Mandal, Abhishek Verma
Novel Hash-Based Radix Sorting Algorithm. UEMCON (2019)
Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. CoRR (2019)
Abhishek Verma, Vanshika Mittal, Suma Dawn
FIND: Fake Information and News Detections using Deep Learning. IC3 (2019)
Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer, Abhishek Verma
Residual-CNDS for Grand Challenge Scene Dataset. CoRR (2019)
Abhishek Verma, Virender Ranga
Addressing Flooding Attacks in IPv6-based Low Power and Lossy Networks. TENCON (2019)
Abhishek Verma, Virender Ranga
Evaluation of Network Intrusion Detection Systems for RPL Based 6LoWPAN Networks in IoT. Wirel. Pers. Commun. 108 (3) (2019)
Resham Jhangiani, Doina Bein, Abhishek Verma
Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions. UEMCON (2019)
Anoop Jeerige, Doina Bein, Abhishek Verma
Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing. CCWC (2019)
Monika Sharma, Abhishek Verma, Lovekesh Vig
Learning to Clean: A GAN Perspective. CoRR (2019)
Monika Sharma, Abhishek Verma, Lovekesh Vig
Learning to Clean: A GAN Perspective. ACCV Workshops (2018)
Vivek Kumar, Roman Zinovyev, Abhishek Verma, Prayag Tiwari
Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis. RICE (2018)
Phillip Ly, Doina Bein, Abhishek Verma
New Compact Deep Learning Model for Skin Cancer Recognition. UEMCON (2018)
Hussam Qassim, Abhishek Verma, David Feinzimer
Compressed residual-VGG16 CNN model for big data places image recognition. CCWC (2018)
Hussein A. Al-Barazanchi, Abhishek Verma, X. Shawn Wang
Intelligent plankton image classification with deep learning. Int. J. Comput. Vis. Robotics 8 (6) (2018)
Vivek Kumar, Roman Zinovyev, Abhishek Verma, Prayag Tiwari
Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis. RICE (2018)
Venkata Sindhoor Preetham Patnam, Feba Thankachan George, Kiran George, Abhishek Verma
Deep Learning Based Recognition of Meltdown in Autistic Kids. ICHI (2017)
Hussam Qassim, David Feinzimer, Abhishek Verma
Residual Squeeze VGG16. CoRR (2017)
Alec Yenter, Abhishek Verma
Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis. UEMCON (2017)
Bérénice Mettler, Abhishek Verma, Andrew Feit
Emergent patterns in agent-environment interactions and their roles in supporting agile spatial skills. Annu. Rev. Control. 44 (2017)
Hussam Qassim, David Feinzimer, Abhishek Verma
The Compressed Model of Residual CNDS. CoRR (2017)
Sinam Ajitkumar Singh, Abhishek Verma, Shuvam Chhetry, Swanirbhar Majumder
Abnormality analysis of pcg signal using vmd and mlp neural network. ISED (2017)
Abhishek Verma, Bérénice Mettler
Human Learning of Unknown Environments in Agile Guidance Tasks. CoRR (2017)
Abhishek Verma, Hussam Qassim, David Feinzimer
Residual squeeze CNDS deep learning CNN model for very large scale places image recognition. UEMCON (2017)
Abhishek Verma, Yu Liu
Hybrid deep learning ensemble model for improved large-scale car recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Holly H. Vo, Abhishek Verma
New Deep Neural Nets for Fine-Grained Diabetic Retinopathy Recognition on Hybrid Color Space. ISM (2016)
Abhishek Verma, Deeshant Rajput, Jhareswar Maiti
Prioritization of Near-Miss Incidents Using Text Mining and Bayesian Network. ICACDS (2016)
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Residual CNDS. CoRR (2016)
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Novel CNN architecture with residual learning and deep supervision for large-scale scene image categorization. UEMCON (2016)
Holly H. Vo, Abhishek Verma
Discriminant color texture descriptors for diabetic retinopathy recognition. ICCP (2016)
Yukhe Lavinia, Holly H. Vo, Abhishek Verma
Fusion Based Deep CNN for Improved Large-Scale Image Action Recognition. ISM (2016)
Rekha Singhal, Abhishek Verma
Predicting Job Completion Time in Heterogeneous MapReduce Environments. IPDPS Workshops (2016)
Abhishek Verma, Luis Pedrosa, Madhukar Korupolu, David Oppenheimer, Eric Tune, John Wilkes
Large-scale cluster management at Google with Borg. EuroSys (2015)
Abhishek Verma, Andrew Feit, Bérénice Mettler
Investigation of Human First-Person Guidance Strategy from Gaze Tracking Data. SMC (2015)
Andrew Feit, Abhishek Verma, Bérénice Mettler
A human-inspired subgoal-based approach to constrained optimal control. CDC (2015)
Abhishek Verma, Madhukar Korupolu, John Wilkes
Evaluating job packing in warehouse-scale computing. CLUSTER (2014)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
Profiling and evaluating hardware choices for MapReduce environments: An application-aware approach. Perform. Evaluation 79 (2014)
Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo
Performance Modeling and Optimization of Deadline-Driven Pig Programs. ACM Trans. Auton. Adapt. Syst. 8 (3) (2013)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan. IEEE Trans. Dependable Secur. Comput. 10 (5) (2013)
Abhishek Verma, Brian Cho, Nicolas Zea, Indranil Gupta, Roy H. Campbell
Breaking the MapReduce stage barrier. Clust. Comput. 16 (1) (2013)
Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo
Automated profiling and resource management of pig programs for meeting service level objectives. ICAC (2012)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance. MASCOTS (2012)
Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. NOMS (2012)
Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo
Optimizing Completion Time and Resource Provisioning of Pig Programs. CCGRID (2012)
Abhishek Verma, Chengjun Liu, Jiancheng Kevin Jia
Iris recognition based on robust iris segmentation and image enhancement. Int. J. Biom. 4 (1) (2012)
Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo
Meeting service level objectives of Pig programs. CloudCP@EuroSys (2012)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
Resource Provisioning Framework for MapReduce Jobs with Performance Goals. Middleware (2011)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
ARIA: automatic resource inference and allocation for mapreduce environments. ICAC (2011)
Harish Sharma, Abhishek Verma, Jagdish Chand Bansal
Group Social Learning in Artificial Bee Colony Optimization Algorithm. SocProS (1) (2011)
Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell
Play It Again, SimMR! CLUSTER (2011)
Abhishek Verma, Chengjun Liu
Novel EFM-KNN classifier and a new color descriptor for image classification. WOCC (2011)
Abhishek Verma, Chengjun Liu, Jiancheng Jia
New colour SIFT descriptors for image classification with applications to biometrics. Int. J. Biom. 3 (1) (2011)
Alexander M. Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan
Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies. VTDC@HPDC (2011)
Sanjay K. Dhurandher, Ankit Aggarwal, Aashish Bhandari, Abhishek Verma, Mohammad S. Obaidat, Isaac Woungang
Time Stamp-Based Algorithm for Task Scheduling in a Distributed Computing System with Multiple Master Multiple Slave Architecture. iThings/CPSCom (2011)
Jagdish Chand Bansal, P. K. Singh, Mukesh Saraswat, Abhishek Verma, Shimpi Singh Jadon, Ajith Abraham
Inertia Weight strategies in Particle Swarm Optimization. NaBIC (2011)
Abhishek Verma, Nicolas Zea, Brian Cho, Indranil Gupta, Roy H. Campbell
Breaking the MapReduce Stage Barrier. CLUSTER (2010)
Abhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell
Scaling eCGA model building via data-intensive computing. IEEE Congress on Evolutionary Computation (2010)
Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell
Scaling Genetic Algorithms Using MapReduce. ISDA (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Abhishek Verma