Department | Information Technology |
Designation | Associate Professor |
Educational Qualification | Ph.D. |
rkdewang.it@nitrr.ac.in | |
Contact Number | 7897954101 |
Department | Information Technology |
Designation | Associate Professor |
Educational Qualification | Ph.D. |
rkdewang.it@nitrr.ac.in | |
Contact Number | 7897954101 |
Machine Learning,
BigData, Data Science,
and Cyber/Information
Security,IOT,Computer
Vision,Artificial
Intelligence, Electronic
Device and Motors
Fault Detection using
ML.
1. Title of the invention :“SYSTEM AND METHOD FOR REAL-TIME ASSESSMENT AND GUIDANCE ON EXERCISE POSTURE”,, Name of Inventors: Dr. Shikha Agrawal, Dr. Jitendra Agrawal, Dr.Rupesh Kumar Dewang, Mr. Suraj Prakash Narayan and Ms. Swati Jain, Application No.201921035264 A, Date of filing of Application :02/09/2019, Publication Date : 11/10/2019 (Review Submitted).
21. Arvind Mewada, Rupesh Kumar Dewang, "ConvRoBERTa: Detecting Fake Reviews by Fusing Sequential and Weighted Non-Sequential Features", IEEE Transactions on Artificial Intelligence, August 2025.
20. Atul Kumar, Rupesh Kumar Dewang , ”Comprehensive insights into healthcare IoT: the role of machine learning and deep learning approaches”, Multimedia Tools and Applications, 2025 (SCIE Journal, IF: 3.3)
19. Ayshwarya Jaiswal, Pragya Dwivedi, Rupesh Kumar Dewang, Handling imbalance dataset issue in insider threat detection using machine learning methods Authors”, Computers and Electrical Engineering, 2024 (SCIE Journal, IF: 4.0)
18. Ayshwarya Jaiswal, Pragya Dwivedi, Rupesh Kumar Dewang, ”Machine learning approaches to detect, prevent and mitigate malicious insider threats: State-of-the-art review”, Multimedia Tools and Applications, 2024 (SCIE Journal, IF: 3.3)
17. Rupesh Kumar Dewang, Mahendra Pratap Yadav, Surbhit Awasthi, Om Raj, Arvind Mewada, and Kamlakant Laxman Bawankule, ”Data secure application: An application that allows developers to store user data securely using blockchain and IPFS”, Multimedia Tools and Applications, 2024 (SCIE Journal, IF: 3.3)
16. Arvind Mewada and Rupesh Kumar Dewang, ”CIPF: Identifying fake profiles on social media using a CNN-based communal influence propagation framework”, Multimedia Tools and Applications, 2024 (SCIE Journal, IF: 3.3)
15. Arvind Mewada and Rupesh Kumar Dewang, ”NRWalk2Vec-HIN: spammer group detection based on heterogeneous information network embedding over social media.”, The Journal of Supercomputing, 2023 (SCIE Journal, IF: 3.3)
14. Arvind Mewada and Rupesh Kumar Dewang, ”SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting.”, The Journal of Supercomputing (2023):1-36, (SCIE Journal, IF: 3.3)
13. Arvind Mewada and Rupesh Kumar Dewang, “A comprehensive survey of various methods in opinion spam detection”, Multimedia Tools and Applications, 1-41, (2023) (SCIE Journal, IF: 3.6)
12. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh, ”Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster”, Cluster Computing, (SCIE, IF=4.4)
11. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh, “A classification framework for straggler mitigation and management in a heterogeneous Hadoop cluster: A state-of-art survey”, Journal of King Saud University-Computer and Information Sciences (2022), (SCIE, IF=13.3)
10. Bhaswati Barman, Rupesh Kumar Dewang, Arvind Mewada, “Facial Recognition using Grey Wolf Optimization”, Materials Today: Proceedings, 202, (Scopus index).
9. Arvind Mewada, Rupesh Kumar Dewang,“Research on False Review Detection Methods: A state-of-the-art review”,, Journal of King Saud University-Computer and Information Sciences, (SCIE, IF=13.473)
8. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh,“Early straggler tasks detection by Recurrent Neural Network in a heterogeneous environ- ment”,, Applied Intelligence, (SCI, IF=5.3 )
7. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh,“Performance Analysis of Hadoop YARN Job Schedulers in a Multi-Tenant Environment on HiBench Benchmark Suite”, International Journal of Distributed Systems and Technologies, 2021 (Scopus index)
6. Swati Jain, Suraj Prakash Narayan, Nalini Meena, Rupesh Kumar Dewang, Utkarsh Bhartiya, and Varun Kumar, Arvind Mewada,“Event Detection through Lexical Chain Based Semantic Similarity Algorithm”, Materials Science and Engineering, (2021) (Scopus index)
5. Arvind Mewada, Rupesh Kumar Dewang,“Deceptive Reviewer Detection by Analyz- ing Web Data using HMM and Similarity Measures”, Materials Today: Proceedings, 2021 (Scopus index)
4. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh,“Historical Data-Based Approach for Straggler Avoidance From a Heterogeneous Hadoop Clus- ter”, Journal of Ambient Intelligence & Humanized Computing, Springer Nature on 2021 (SCIE,IF=4.9)
3. RK Kushwaha, P Karuppanan, RK Dewang,“Design of a SIW On-chip Antenna using 0.18-µm CMOS Process Technology at 0.4 THz”, International Journal for Light and Electron Optics, 2020, 1-15. SCIE (SCIE,IF=3.1)
2. Rupesh Kumar Dewang and Anil Kumar Singh,“State-of- Art Approaches for Review Spammer Detection: A Survey”, Journal of Intelligent Information Systems, 2017, 1-34 (SCIE,IF=3.4)
1. Rupesh Kumar Dewang and Anil Kumar Singh, “Spam Review Detection through Lexical Chain Based Semantic Similarity Algorithm (LCBSS) for Negative Reviews”, International Journal of Engineering and Technology, Vol 8 No.6, Dec 2016-Jan 2017 (Scopus index).
6. Astha Singh, Rupesh Kumar Dewang, Divya Kumar ,”Enhancing waste management through deep learning-based classification of plastic and non-plastic products”, Artificial Intelligence and Information Technologies, (2024): 164-170.
5. Dasangam Venkat Nikhil, Rupesh Kumar Dewang, Buvaneish Sundar, Ayush Agrawal, Ananta Narayan Shrestha, Akash Tiwari, Arvind Mewada,”Predicting Native Language with Machine Learning: An Automated Approach”, Artificial Intelligence Techniques in Power Systems Operations and Analysis, (2023): 195-206.
4. Dinesh Singh, Ashish Kumar Maurya, Rupesh Kumar Dewang, Niharika Keshari,“A review on Internet of Multimedia Things (IoMT) routing protocols and quality of service”, Internet of Multimedia Things (IoMT), (2022): 1-29.
3. Tavishi Jain, Bhavya Singh, Rupesh Kumar Dewang (2022), ”Event Detection in Live Twitter Streams Using Tf-Idf and Clustering Algorithms”, Data, Engineering and Applications., Lecture Notes in Electrical Engineering, vol 907. Springer, Singapore https://doi.org/10.1007/978-981-19-4687-5_36
2. Tavishi Jain, Bhavya Singh, Rupesh Kumar Dewang,”Event Detection and Sum- marisation of Live Tweets Using SCAN Algorithms”, Data, Engineering and Applications., Lecture Notes in Electrical Engineering, vol 907. Springer, Singapore, (2022) https://doi.org/10.1007/978-981-19-4687-5_37
1. Saloni Juneja, Shubham Goyallal, Sonali Agarwal, Saransh Agrawal, Rohit Kumar, Rupesh Dewang, Arvind Mewada,”Spam Review Detection Using Okapi Relevance Method for Negative Reviews”, Data, Engineering and Applications., Lecture Notes in Electrical Engineering, vol 907 Springer, Singapore. https://doi.org/ 10.1007/978-981-19-4687-5_38
21. Arpita Santra, Vibhav Prakash Singh, Rupesh Kumar Dewang ,“Content-Based Retinal Image Analysis: Exploring the Impact of Similarity Measures and Machine Learning on LTP Features”, 2024 IEEE Students Conference on Engineering and Systems (SCES), , IEEE, 2024
20. Arvind Mewada, Rupesh Kumar Dewang,“SentiBERT: A Novel Approach for Fake Review Detection Incorporating Sentiment Features with Contextual Features”, Fiteenth International Conference on Contemporary Computing (IC3), ACM ICPS, ISBN Number: 979-8-4007-0022-4 2023
19. Harshit Sinha, Manvendra Singh, Mayank Kumar and Neel Jaideep Pand, Rupesh Kumar Dewang,”Comparison Based Study of UnderWater Image Enhancement Models”, 21st OITS International Conference on Information Technology (OCIT- 2023), Communicated
18. Rupesh Kumar Dewang, Nishant Tamrakar, Arvind Mewada, ”Sentence Level Sen- timent Classification using SentiWordNet and Long-Short Term Memory Model”, IEEE International Conference on Networks, Multimedia and Information Technol- ogy (NMITCON), Submitted
17. Tavishi Jain, Bhavya Singh, and Rupesh Kumar Dewang, ”Event Detection in Live Twitter Streams Using Tf-Idf and Clustering Algorithms.”, In Data, Engineering and Applications: Select Proceedings of IDEA 2021, pp. 469-480. Singapore: Springer Nature Singapore, 2022
16. Juneja, Saloni, Shubham Goyallal, Sonali Agarwal, Saransh Agrawal, Rohit Kumar, Rupesh Dewang, and Arvind Mewada, ”Spam Review Detection Using Okapi Rele- vance Method for Negative Reviews.”, In Data, Engineering and Applications: Select Proceedings of IDEA 2021, pp. 493-504. Singapore: Springer Nature Singapore, 2022.
15. Tavishi Jain, Bhavya Singh, and Rupesh Kumar Dewang ”Event Detection and Summarisation of Live Tweets Using SCAN Algorithms.”, In Data, Engineering and Applications: Select Proceedings of IDEA 2021, pp. 481-492. Singapore: Springer Nature Singapore, 2022
14. Arpit Gupta, Anisha Kumari, Ritik Raj, Akanksha Gupta, Raj Nath Shah, Tan- may Jaiswal, Rupesh Kumar Dewang, and Arvind Mewada,”Biased Online Media Analysis Using Machine Learning.”, In Proceedings of International Conference on Computational Intelligence: ICCI 2021, pp. 99-108. Singapore: Springer Nature Singapore, 2022.
13. Arvind Mewada and Rupesh Kumar Dewang, ”Convroberta: Identification of Fake Reviews Using Sequential and Weighted Non-Sequential Features in Multimodal Fusion.”, , Available at SSRN 4412671
12. Arpit Gupta, Anisha Kumari, Ritik Raj, Akanksha Gupta, Raj Nath Shah, Tanmay Jaiswal, Rupesh Kumar Dewang, Arvind Mewada, “Biased Online Media Anal- ysis Using Machine Learning”, 2nd International Conference On Computational Intelligence - ICCI 2021, Indexed in Scopus
11. Arpit Gupta, Anisha Kumari, Ritik Raj, Akanksha Gupta, Raj Nath Shah, Tanmay Jaiswal, Rupesh Kumar Dewang, Arvind Mewada, ”AutIS: Artificial Intelligent Based Automated Interviewing System”, 21st international conference on Hybrid Intelligent Systems (HIS-2021), Indexed in Scopus
10. Aditya Raven, Rupesh Kumar Dewang, Arvind Mewada, “A Machine Learning- Based Privacy-Preserving Model for COVID-19 Patient using Differential Privacy”, 19th OITS International Conference on Information Technology (OCIT)-2021, Indexed in Scopus
9. Shrey Pandey, Yash Srivastava, Yukta Meena and Rupesh Kumar Dewang, CLO- TON: A GAN based approach for Clothing Try-On, 8th International Conference on Signal Processing and Integrated Networks, (SPIN-2021).
8. Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh, “Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster”, 17th International Conference on Distributed Computing and Internet Technology (ICDCIT-2021), Published f Lecture Notes in Computer Science (LNCS)
7. Dasangam Venkat Nikhil, Rupesh Kumar Dewang, Buvaneish Sundar, Ayush Agrawal, Ananta Narayan Shrestha and Akash Tiwari,“An Android Application for Automatic Content Summarization of News Articles Using Multilayer Perceptron”, International conference on Big Data, Machine learning & Their Applications (ICBMA-2020), Published lecture Notes in Network and System, Springer.
6. Swati Jain, Suraj Prakash Narayan, Rupesh Kumar Dewang, Utkarsh Bhartiya, Nalini Meena and Varun Kumar,”A Machine Learning based Depression Analysis and Suicidal Ideation Detection System using Questionnaires and Twitter”, Students Conference on Engineering and Systems (SCES2019), MNNIT ALLAHABAD, 06/2019, Published By IEEE
5. Ahmed Sabeeh and Rupesh Kumar Dewang, “Compassion, Bifurcation and Survey of Aspect Based Sentiment Analysis”, 2nd International Conference on Advanced Informatics for Computing Research (ICAICR-2018), Springer CCIS series, index in Scopus, 2018
4. Rupesh Kumar Dewang, Pushpendra Singh, and Anil Kumar Singh, “Finding of Review Spam through Corleone, Review Genre, Writing Style and Review Text Detail Features”, Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, ACM, 2016
3. Alok Kumar, Dinesh Singh, Jay Ram Singh, Rupesh Kumar Dewang, “Histor- ical Feedback based Misbehaviour Detection (HFMD) Algorithm,”, 2016 2nd International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, 2016, Bhubaneswar, Odisha, India
2. Jay Ram Singh, Dinesh Singh, Alok Kumar, Rupesh Kumar Dewang, ”A Single Hop Based Fast Certificate Revocation Protocol in VANET,”, 2016 2nd International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, 2016, Odisha, India
1. Rupesh Kumar Dewang,, and A. K. Singh, ”Identification of Fake Reviews Using New Set of Lexical and Syntactic Features.”, Proceedings of the Sixth International Conference on Computer and Communication Technology, ACM, 2015
Subjects Taught
Current Subject: Object Oriented Methodology
Past Subjects (MNNIT):
2. KamlaKant Laxman Bawankule, “Straggler Mitigation Approaches for Heterogeneous Hadoop Cluster”, MNNIT Allahabad, 2022. (Awarded) (SCIE:6, Connf:1)
1. Arvind Mewada, “Unveiling the Review Spam: From Dataset Labelling to Group Spammer Detection and Review Aspect Analysis.”, MNNIT Allahabad, Sep-2023. (Awarded)(Transaction:1, SCIE:8, Conf:2)
2. Ayshwarya Jaiswal, “Insider Threat Detection”, MNNIT Allahabad, 2021. (Ongoing) (SCIE:2, Conf:1)
1. Atul Kumar, “Machine Learning in IOT”, MNNIT Allahabad, 2021. (Ongoing)(SCIE:1)
Conducted a one-week hands-on session on “Python Programming and Machine Learning with Python” as part of the One-Month Summer Training Program Learning Python Applications Development for Industrial Projects (LPADIP-2019) at MNNIT Allahabad.
Delivered a hands-on session on “Forensic Tools” in the workshop Current Trends in Cyber Crime and Security-2018 at MNNIT Allahabad.
Conducted a one-week hands-on session on “Python Programming and Machine Learning with Python” as part of the One-Month Summer Training Program Learning Python Applications Development for Industrial Projects (LPADIP-2018) at MNNIT Allahabad.
21st International Conference on Hybrid Intelligent Systems (HIS-2021), 14 December 2021, Annual Conferences of Machine Intelligence Research Labs, USA.
10th International Conference on Communication Systems and Network Technologies (CSNT-2021), 18–19 June 2021, organized by Oriental Institute of Science and Technology, Bhopal, with the support of AICTE New Delhi, RGPV Bhopal, and IEEE Bombay Section.
2nd International Conference on Data, Engineering & Applications (IDEA-2K20), 28–29 February 2020, School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.
1st International Conference on Social Networking and Computational Intelligence (2019), School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.
8th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2018), School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal.
IEEE International Conference on Recent Advances in Engineering, Technology and Computational Sciences (RAETCS-2018), SHUATS Allahabad, India.
International Conference on Computer and Communication Technology (ICCCT-2017), ACM Digital Library, MNNIT Allahabad, India.
Awards and Honors
Best Paper Award — Our paper "A Machine Learning-Based Depression Analysis and Suicidal Ideation Detection System Using Questionnaires and Twitter" received the Best Paper Award at the Students Conference on Engineering and Systems (SCES-2019), MNNIT Allahabad, June 2019. Published by IEEE.
"Review Spam Detection using Python" — Expert talk in a one-week online Faculty Development Program (FDP) on Data Analytics Using Python, held from 27–31 December 2021 under AICTE Training and Learning (ATAL) Academy, Delhi. Organized by the Department of Computer Science & Engineering, IPS Academy, Institute of Engineering and Science, Indore, MP.
"Security in Big Data Analytics" — Expert talk on 21 December 2021 in the FDP on Information Security: Issues and Challenges (ISIC-2021), held from 18–22 December 2021 at CSED, MNNIT Allahabad, Prayagraj.
"An Era of Internet of Behaviors (IoB) Based on Machine Learning over IoT Data" — Expert talk in a one-week online FDP on Data Analytics Using Python, held from 23–27 November 2021 under AICTE ATAL Academy, Delhi. Organized by the School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, MP.
"Role of Machine Learning to Strengthen the Education Future" — Expert talk in an online FDP on AI and Machine Learning Using Python, sponsored by Dr. A.P.J. Abdul Kalam Technical University, Lucknow. Delivered on 30 January 2021, during the FDP held from 27–31 January 2021.
"Banking Frauds and Their Preventions" — Expert talk in a one-day ISEA-II sponsored online program Information Security Awareness (ISA-2021) on 27 February 2021, at CSED, MNNIT Allahabad, Prayagraj.
"Data Analysis Using Python: Review Spam Detection" — Expert talk on 4 March 2021 in an AICTE-sponsored Short Term Training Program (Phase-2) on Data Analysis Using Python at IPS Academy, Institute of Engineering & Science, Indore.
"Current Trends in Cyber Crime and Cyber Forensics with a Perspective of the COVID-19 Pandemic" — Expert talk on 11 March 2021 in the FDP on Information Security and Privacy (ISP-2021), held from 10–14 March 2021 at CSED, MNNIT Allahabad.
"Cyber Forensic Tools" — Expert talk on 17 March 2021 in the online Short Term Training Program on Information Security — Current Trends and Future Perspectives (IS-CTFP-621) at CSED, MANIT Bhopal.
"Computer Vision and Deep Learning" — Expert talk on 22 March 2021 in a five-day online Short Term Programme on Signal and Image Processing, held from 22–26 March 2021 at IIIT Bhopal.
"Review Spam Detection using Python" — Expert talk in a one-week online FDP on Data Analytics and Machine Learning Using Python, held from 12–16 July 2021 under AICTE ATAL Academy, Delhi. Organized by the School of Information Technology, RGPV, Bhopal, MP.
"Machine Learning over IoT Data" — Expert talk in the Online International Conclave on Emerging Trends in ICT, held 30–31 July 2021 at the Institute of Advanced Computing, SAGE University, Indore, MP.
"Current Trends in Cyber Crime and Cyber Forensics with a Perspective of the COVID-19 Pandemic" — Expert talk on 31 July 2021 in the FDP on Cyber Security — Challenges and Practices (CSCP 2021), held from 29 July – 2 August 2021 in the Department of Computer Science & Engineering, Rajkiya Engineering College, Sonbhadra.
"Machine Learning over IoT Data" — Expert talk on 23 March 2021 in the online workshop Technologies Behind Smart City: An IoT Perspective (IoSCT-2021), held from 20–24 March 2021 at the Department of Computer Science & Engineering, MNNIT Allahabad.
"Big Data Analytics: MapReduce Paradigm" — Expert talk on 29 December 2020 in the one-week online FDP Data Analytics on Real Time Systems, sponsored by AKTU and hosted by GITM, held from 26–30 December 2020.
"Current Trends in Cyber Crime and Cyber Forensics with a Perspective of the COVID-19 Pandemic" — Expert talk on 19 December 2020 in the two-day workshop on Cyber Security organized by the IoT and AI Department, SATI Vidisha, held 19–20 December 2020.
"Deep Learning and Computer Vision" — Expert talk on 30 November 2020 in the AICTE-sponsored STTP Deep Learning-Based Analysis of Images and Videos using Python, held 30 November – 4 December 2020 at the Department of Computer Science & Engineering, KIT Kalaignarkarunanidhi Institute of Technology, Coimbatore.
"Cloud and Big Data Security" — Expert talk on 26 November 2020 in the five-day STTP Cyber Security and Digital Forensics, held from 23–27 November 2020 under ISEA Project Phase-II at the Department of CSE, MANIT Bhopal.
"Deep Learning and Computer Vision" — Expert talk on 23 November 2020 in the AICTE-sponsored STTP Deep Learning-Based Analysis of Images and Videos using Python, held from 23–27 November 2020 at KIT Kalaignarkarunanidhi Institute of Technology, Coimbatore.
"Security in Big Data Analytics" — Expert talk on 18 November 2020 in the FDP on Information Security: Issues and Challenges (ISIC-2020), held from 17–21 November 2020 at CSED, MNNIT Allahabad.
"Current Trends in Cyber Crime and Cyber Forensics with a Perspective of the COVID-19 Pandemic" — Expert talk on 13 November 2020 in the AICTE-sponsored STTP Cyber Security — Current Trends and Future Perspectives, held 9–14 November 2020 at Guru Nanak Dev Engineering College, Ludhiana, Punjab.
"Introduction to Big Data and Straggler Handling in Big Data Processing" — Expert talk on 21 September 2020 in the AICTE-sponsored STTP Big Data & Hadoop – Phase-II at the Department of Computer Science & Engineering, IPS Academy, Indore.
"Cyber Forensics, Cyber Crime, and Cyber-Physical Systems" — Expert talk on 28 May 2020 in the one-week online ISEA-II sponsored FDP Information Security and Privacy (ISP-2020) at CSED, MNNIT Allahabad.
"Basics of Python and Machine Learning" — One-week expert talk in the One-Month Summer Training Program Learning Python Applications Development for Industrial Projects (LPADIP-2019) at MNNIT Allahabad.
"Machine Learning" — Expert talk on 13 September 2019 in the TEQIP-III-sponsored one-week workshop Machine Learning & IoT organized by the Department of Information Technology, Rajkiya Engineering College, Banda, U.P.
"Sentiment Mining and Its Applications" — Keynote talk on 9 November 2019 at the Annual ISTE M.P. State Convention with the National Conference on Recent Advancements in Energy, Sciences & Technology (NCRAEST-19), Oriental College of Technology, Bhopal.
"Cyber Security and Cyber Forensics" — Expert talk in the workshop Current Trends in Cyber Crime and Security-2018 at MNNIT Allahabad.
"Cybercrime and Cyber Forensics" — Expert talk at Ewing Christian College on 21 March 2018 under the ISEA Phase-II awareness scheme.
"Basics of Python and Machine Learning" — One-week expert talk in the One-Month Summer Training Program Learning Python Applications Development for Industrial Projects (LPADIP-2018) at MNNIT Allahabad.
"Mobile Forensics and Security" — Expert talk in the workshop Information Security and Computer Forensics (WISCF-2014) at MNNIT Allahabad.
Organized an expert lecture on "How CRM (Customer Relationship Management) Can Help Companies in IT" by Mr. Shashank Duggal, EATON, Pune — Sponsored by Dean R&D, MNNIT Allahabad.
Conducted a special session on “Computational Intelligence for Real World Applications in Engineering & Technology” at the 19th International Conference on Hybrid Intelligent Systems — December 10–12, 2019.
Participated in a TEQIP-sponsored webinar on “Recent Trends and Applications in Machine Learning” organized by the Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur — February 15–19, 2021.
Successfully completed the AICTE Training and Learning (ATAL) Academy Online FDP on "Cyber-Physical Systems" at the Indian Institute of Information Technology, Pune — November 7–11, 2020.
Successfully completed the AICTE Training and Learning (ATAL) Academy Online FDP on "Data Sciences" at University College of Engineering (A) — October 5–9, 2020.
Participated in a workshop on “The Growing Role of IoT in Latest Technological Trends” by Dr. Shriram K. Vasudevan — June 22–26, 2020, organized by the School of Information Technology, RGPV Bhopal, in association with WILEY India Pvt. Ltd.
Participated in the Python 3.4.3 training organized at Dr. K.N. Modi University — January 2020 semester, with course material provided by the Spoken Tutorial Project, IIT Bombay.
Participated in Chess at the Inter-NIT Faculty and Staff Tournament, MNIT Jaipur — December 18–20, 2019.
Attended a one-week workshop on Soft Skills (SS-2018) organized by MNNIT Allahabad, sponsored by TEQIP-III — May 21–25, 2018.
Participated in the International Conference “BioSangam 2018” organized by MNNIT Allahabad — March 9–11, 2018.
Attended the IEEE Computational Intelligence Workshop (CIW-2014) organized by IIIT Allahabad in collaboration with CSIR-CEERI, Pilani — October 13–15, 2014.
Attended a five-day National Workshop on Challenges in Big Data Research organized by the Department of Computer Engineering, MNIT Jaipur — November 2013.
Attended a two-day Faculty Orientation Programme organized by MNNIT Allahabad, sponsored by TEQIP-II — January 12–13, 2013.
Participated in a two-week ISTE workshop on Introduction to Research Methodologies conducted by IIT Bombay — June 25 to July 4, 2012.
Attended a Faculty Development Program on “Cloud Infrastructure and Services” at RGPV Bhopal, in collaboration with EMC Corporation — 2012.
Attended a special lecture by the Hon’ble Governor of Odisha at NLIU, Bhopal — 2012.
Attended a workshop on Cyber Crime at NLIU, Bhopal — 2011.
Attended a seminar on Science of India at Bhopal — 2011.
Participated in a National Workshop on Emerging Wireless Technology and Approaches at UIT, RGPV — 2008.
Participated in Bhartiya Vigyan Sammelan — 2007.
S.No | Research Topic | Name of Student | Completion/Registration Year |
---|
1 | Hadoop Implementation to efficiently mine Association Rules | Akshay Rukmangad, 2019SW13 | 2021 |
2 | Land Registry Using Blockchain Technology | Abhijeet Padghan, 2019SW07 | 2021 |
3 | Privacy-Preserving Machine Learning using Differential Privacy | Aditya Raven, 2018CS06 | 2020 |
4 | Facial recognition using Grey Wolf Optimization | Bhaswati Barman,2018CS02 | 2020 |
5 | Aspect level Sentiment Classification using Attention Mechanism | Shanaz Mohamad , 2017SW04 | 2019 |
6 | Emotion Extraction via Summarized Segment of Songs | Thejazeto Lhousa, 2017CS09 | 2019 |
7 | Extracting Aspect Categories from User Reviews using CNN. | Ahmed Sabeeh, 2016CS16 | 2018 |
8 | Sentiment Classification at Sentences Level using Long Short Term Memory Units with SentiWordNet. | Nishant Tamrakar, 2016SW13 | 2018 |
9 | Role of Evolutionary Algorithms in Task Scheduling. | Gurlal Singh, 2014SW01 | 2017 |
10 | Review Spam Detection using Relevance Feedback Technique. | Soni Gupta, 2015CS08 | 2017 |
11 | A Collaborative Analysis on Detection of Spammer Groups. 2016 | Anil Singh, 2012PTSW06 | 2016 |
12 | A New Framework of Classify Spam or Non-Spam Movie Reviews. | Rahul Kant, 2014IS05 | 2016 |
13 | Review Spam Detection Using Linguistic Features Set. | Pushpendra Singh, 2013SW01 | 2015 |
14 | Review Spammer Detection using Rating Features. | Sanjay Prasad, 2013SW20 | 2015 |
15 | A New Framework for Feature Extraction of Product Review using NLTK Tool. | Anand Kumar , 2012CS33 | 2014 |
16 | A New Framework for Sentiment Analysis of Twitter Data using R Tool. | Rakesh Ranjan Kumar,2012SW20 | 2014 |
17 | Secure Storage and Transmission of Logs using IPSec Protocol. | Akshay Anand, 2012CS20 | 2014 |
18 | Security threats in Distributed Systems. | Prateek Dabadghao (Reg. No. 2020IS17), | 2022 |
19 | Review Spam Detection. | Saiyam Jain (2020SW14) | 2022 |
20 | Individual spammer and group spammer detection | PUJA PRIYANSHU | 2023 |
21 | A framework for Twitter Spam Detection | ASKASH SINGH | 2023 |
22 | New framework for hereditary hearing loss detection using machine learning | Vishwas Negi | 2023 |
B.Tech Students | |||
1 | College Bot and CLOTON: A GAN based approach for Clothing Try-On | Yukta Meena(20174050) Shrey Pandey(20174080) Yash Srivastava(20174167) | 2021 |
2 | Mind Show and Social Distancing Detector using YOLO Algorithm | ANKIT JAIN (20178009) SHAKSHI AGRAWAL (20175080) BRAHMCHARI (20178093) | 2021 |
3 | Face Mask Detector for better management and public welfare and Depression Detection From Speech | Raj Garg 20174085 Shubham Damani 20174056 Satender Kumar 20174062 | 2021 |
4 | Face Recognition of Masked Human Faces. | Shreshtha Dwivedi, Raghav Saxena, Nikash, Sonowal, Suraj Kumar Patel, Sushant Oberoi | 2020 |
5 | Data Secure Application: An Application that Allows Developers to Store User Data Securely using Blockchain and IPFS. | Surbhit Awasthi, Om Raj, Lokavarapu Satish Kumar, Mohammad Saad | 2020 |
6 | Depression Detection via Speech | Srishti Singh (20198006), Pranavi (20198054), Preeti Roj (20198114), Sakshi Sihag (20198093) | 2023 |
7 | Malicious URL Detection using Ensemble Learning | Priyanshu Gupta (20194086) Harshit Pachauri (20194168) Prashant Singh (20194023) Nishant Kumar(20194176) | 2023 |
8 | Automated Interviewing System | Gursimran Kaur Saini (20194083) Mansi Sahu (20194082) Parag Kumar Gupta (20194156) Himanshu Kumar Sahu (20194174) | 2023 |
9 | Application for Freshness detection of fruits and vegetables for the blind. | Radhika Gupta 20194134 Jaya Prakash Reddy T 20194186 Krishna Shah 20194190 Naman Jadwani 20194069 | 2023 |
10 | Solving Problem of People Hard of Speaking By Converting Hand Gestures into Language Using Machine Learning and Deep Learning | Anubhav Kumar Giri(20188004), Aritra Chatterjee (20184196), Arvind Kumar Yadav (20184135), Ajay kumar Gond (20184107), Anshuman Singh Chauhan (20184167) | 2022 |
11 | File Storage System using IPFS and Blockchain | Anshika Gangwar (20188009), Mithilesh Tiwari (20188002), Chitransh Anand (20188040), Indrapratab Yadav (20188088) | 2022 |
12 | FcGAN-DA : Feature Fusion Conditional Generative Adversarial Network with Differentiable Augmentation | Harshit Sinha (20184003), Manvendra Singh (20184144), Mayank Kumar (20184153), Neel Jaideep Pandit (20184132) | 2022 |
13 | Realtime Sitting Posture Assessment and Correction | Priyanka (20165056), Prakhar Kushwaha (20164170), Navneesh Sagar (20164155), Sanjay Kumar (20164103) | 2020 |
14 | Android Malware Detection using Multi Modal Deep Neural Network. | Vipul Lohani, Sumit Singh, Sandeep Dan, Rahul Kumar | 2019 |
15 | Pose Trainer. | Swati Jain, Suraj Prakash Narayan , Utkarsh Bhartiya, Nalini Meena, Varun Kumar | 2019 |
16 | Securing OTP with AES & RSA AND MNNIT III-Cell Website. | Arpit Gupta, Anisha Kumari, Ritik Raj, Akanksha Gupta , Raj Nath Sah , Tanmay Jaiswal | 2019 |
17 | Event Detection and Summarization of live Tweets & Mentor Allotment Portal. | Tavishi Jain, Bhavya Singh, Anoop Kumar, Pawan Pandey, Piyush Kumar, Sonam Kumari | 2018 |
18 | Reviews Analysis Topic Modeling and Sentiment Mining. | Saloni Juneza, Shubham Kumar Goyal, Sonali Agrawal, Saransh Agrawal, Rohit Kumar | 2018 |
19 | Native Language Identification and Automatic Content Summarization of News Articles. | Dasangam Venkat Nikhil, Buvaneish Sundar, Ayush Agrawal, Ananta Narayan Shrestha, Akash Tiwari | 2018 |
20 | Location Fetching of Android Devices Without User Interaction. | Prashant Pandey, Jitendra Singh, Ashish Yadav, Ashutosh Jha, Vikas Babu Gond | 2017 |
21 | Analysis of Group Spammers and Non-spammers using Member Similarity and Semantic similarity. | Neha Gupta, Rashmi Dewangan, Naveen Chandra, Samit Dahal, Raju Kumar Gupta | 2017 |
22 | Android application Save Our Souls (SOS). | Shivam Mohan, Shreyash Hisariya, Prashant Agrawal, Ankit Kumar Sharma, Banda Prashanth Yadav | 2017 |
23 | Spammer Association Detection. | Pratibha Verma, Vandana Bagla, Pooja Kamai, Brijesh Prajapati, Km Priti Kanaujiy | 2016 |
24 | Review Classification and MNNIT Connect College Intranet Social Network. | Somesh Maurya, Surajchandra Punetha, Shantanu Agarwal, Yash Dhawani, Saurav Keyal | 2016 |
25 | Comparison of Different Features Weighing Scheme for the Lexical Chain based Features using Classification and Clustering. | Komal Singhal, Neha Dixit, Himanshu Dhawal, Mehar Singh, Kartik Anand | 2016 |
26 | Behavioral Indicator of Spammers in Online Reviews. | Amol Agarwal, Chintan Singh, Alok Singh | 2015 |
27 | Identification of Review Spam using Machine Learning Techniques. | Yashu Bhansal, Anjaney Upadhyay, Aparajeeta Singh, Parul Rani | 2015 |
28 | Detection of Review Spam using Topic Modeling and Naïve Bayes. | Smriti Gupta, Ashish Rathod, Prateek Asthana, Hemant Meena | 2015 |
29 | Security in Big Data. | Sakshi Jain, Archit Bhansal, Sumant Kumar, Pramod Verma, Manju Meena | 2014 |
30 | Scheduling Issue in Cloud Computing. | Shubham Awasthi, Prabhat Gupta, Rishabh Sharma, Shravan Kumar Sharma, Navneet Das | 2014 |
31 | Extracting Students Performance using Data Mining. | Ankur Maheshwari, Farhan Akram, Atul Giri, Pankaj Verma, Prashant Kumar | 2014 |