Educational Information

B.E. – CSE: Bachelor of Engineering in Computer Science and Engineering

M.Tech. – CSE: Master of Technology in Computer Science and Engineering.

Ph.D. – CSE: Doctor of Philosophy in Computer Science and Engineering.

ORCIDID:https://orcid.org/0000-0001-9764-0466

Scopus Author ID: 57201373110

GoogleScholarlink: https://scholar.google.com/citations?hl=en&user=j04x3zYAAAAJ

About Me :

I am currently serving as a Professor at Chandigarh University, Punjab. Previously, I worked as a Project Associate on an ICMR-sponsored project titled ‘Validation of the Jodhpur Instrumented Kursi (JiK) against DXA to Diagnose Sarcopenia,’ under the guidance of Dr. Vivek Vijay (Principal Investigator and Assistant Professor, Department of Mathematics, IIT-Jodhpur). In addition, I am a Senior Member of the IEEE Education Society. I have made significant contributions to the research community through numerous publications in SCI and Scopus-indexed journals and conferences. My work in video compression, deep learning, and network security has garnered widespread recognition. Additionally, I have successfully supervised Ph.D. and master’s students in the areas of artificial intelligence and medical imaging. In addition to academic research, I hold multiple patents in intelligent systems, healthcare innovations, and natural language processing (NLP). Collectively, these contributions demonstrate my commitment to advancing engineering solutions with real-world applications.

My Experience :

Chandigarh University, Punjab July 2022 – Present Punjab

Professor (November 1, 2023 to till date)

Associate Professor (July 16, 2024 to October 31, 2023)

Role & Responsibilities: Engaged in teaching and research activities; supervising and co-supervising research scholars; coordinating Outcome-Based Education (OBE) initiatives; contributing as a member of the Department Quality Assurance Cell (DQAC); providing mentorship; and serving as an Internal Member of the Board of Studies.

Chitkara University, Punjab March 2021 – July 2022

Assistant Professor

Role & Responsibilities: Engaged in teaching and research activities while mentoring students and scholars.

JIET Group of Institutions August 2011 – March 2021

Associate Professor
Role & Responsibilities : Conducting teaching and research activities, mentoring students, serving as Deputy Head of Department, and contributing as a Member of the Examination Cell.

July 2020 – September 2020

Project Associate | IIT- Rajasthan

The project, sponsored by ICMR, is titled ‘Validation of the Jodhpur Instrumented Kursi (JiK) against DXA to Diagnose Sarcopenia,’ and is being carried out under the guidance of Dr. Vivek Vijay (Principal Investigator and Assistant Professor, Department of Mathematics, IIT-Jodhpur).

My Education

Ph.D. in Computer Science & Engineering | Career Point University, Kota (Rajasthan) December 2020

Thesis title: Optimization of fast motion estimation algorithms in video compression for H.264

Date of Course Work Completion: September 7, 2016

Date of Commencement of Research: August 5, 2017
Date of Completion: December 11, 2020

Master of Technology in Computer Science & Engineering | Rajasthan Technical University, Kota

College: Jodhpur Institute of Engineering & Technology

Thesis Title: Performance analysis of various motion estimation algorithms for video compression

Percentage: 60.65%

Date of Completion: July 15, 2014

Bachelor of Engineerin in Computer Science Engineering | Rajasthan University, Jaipur

College: Jodhpur Institute of Engineering & Technology

Percentage: 68.25%

Date of Completion: September 22, 2009

Research Publication

Journals Papers:

Kampa Lavanya, Pemula Rambabu, Vijay Suresh and Rahul Bhandari, “Gene Expression Data Classification with Robust Sparse Logistic Regression using Fused Regularization”, International Journal of Ad Hoc and Ubiquitous Computing, 42, 4 (2023), 281–291. https://doi.org/10.1504/ijahuc.2023.130470 (SCI-Scopus Indexed)
Raja Varma Pamba, Rahul Bhandari, A. Asha, Rahul Neware, Ankur Singh Bist, “A Novel Deep Learning Approach to Support Optimal Resource Allocation in 5g Environment”, Journal of Mobile Multimedia, Vol. 19, 3, 739–764. DOI: 10.13052/jmm1550-4646.1935 [link]
Rahul Bhandari, Sanjay Singla, Purushottam Sharma, and Sandeep Singh Kang. AINIS: An Intelligent Network Intrusion System [J]. Int J Performability Eng, 2024, 20(1): 24-31. [link]
Bhandari, R., Jain, A.K., Kaur, G., Malik, M., Nandan, D., Suthar, O.P., Lodhi, R.K. (2025). Face mask recognition in a street camera video stream by using a double CNN with adaptive particle swarm optimization. Ingénierie des Systèmes d’Information, Vol. 30, No. 2, pp. 449-456. https://doi.org/10.18280/isi.300216 [link]
Bhandari, R., Sharma, P., Singla, S. et al. Predictive analysis of soil fertility using supervised machine learning techniques for enhanced agricultural productivity. Int J Syst Assur Eng Manag (2025). https://doi.org/10.1007/s13198-025-02919-w [link]
Om Prakash Suthar, Mohammed Wasim Bhatt, Md Solaiman Mia, Gaganpreet Kaur, Yogeshwar Prajapati, Rahul Bhandari, Evans Asenso, “RANSEC: Hybrid Ensemble Learning-based Secure Approach for Ransomware Detection in Cyber-Physical Defence Systems”, JASTT, vol. 7, no. 1, pp. 26–40, Jan. 2026, doi: 10.38094/jastt71555.

Conferences / Proceedings:

R. Bhandari, R. Perumal, S. Kollem, B. K. G J, N. Ravi and K. Tejashwini, “Monkeypox Skin-Lesion Detection with a Modified VGG16 and a Lightweight Custom CNN,” 2025 IEEE 5th International Conference on ICT in Business Industry & Government (ICTBIG), Indore, Madhya Pradesh, India, India, 2025, pp. 1-7, doi: 10.1109/ICTBIG68706.2025.11323728.
S. Verma, R. Bhandari and N. Kapoor, “A Review on Methods to Identify Influential Nodes in Complex Networks,” 2025 Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS), Rajkot, India, 2025, pp. 1-6, doi: 10.1109/AISTS66100.2025.11233072. [Link]
P. Thakur, A. K. Jha, R. Bhandari and R. Chadha, “A Review-Based Analysis for Predicting Player Performance and Match Outcome in Football Matches,” 2025 Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS), Rajkot, India, 2025, pp. 1-6, doi: 10.1109/AISTS66100.2025.11232899. [link]
S. Sharma and R. Bhandari, “Comparison Analysis Based on Different Methods and the Proposed OMF-MLC Framework For Enhanced Multi-Label Classification,” 2025 International Conference on Computing Technologies (ICOCT), Bengaluru, India, 2025, pp. 1-6, doi: 10.1109/ICOCT64433.2025.11118723.[link]
R. Bhandari, S. Kaswan, S. S. Kang, D. Sihag, N. Dutta and N. Rani, “Ensemble based Technique to detect Fake News,” 2025 Seventh International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2025, pp. 28-32, doi: 10.1109/CCICT65753.2025.00015. [link]
S. Sharma and R. Bhandari, “Optimized Multi-Layered Feature-Based Multi-Label Classification Framework for Detecting Hemorrhagic Lesions in Traumatic Brain Injury,” 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2025, pp. 1-6, doi: 10.1109/RMKMATE64874.2025.11042629. [link]
S. Verma, R. Bhandari and N. Kapoor, “Machine Based Identify Influential Nodes in Complex Networks,” 2025 3rd International Conference on Inventive Computing and Informatics (ICICI), Bangalore, India, 2025, pp. 610-615, doi: 10.1109/ICICI65870.2025.11069642. [link]
D. Singh, P. Singh and R. Bhandari, “A Comprehensive Review of Deepfake Detection In Advanced Neural Network Architectures and Deep Learning Strategies,” 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit), Greater Noida, India, 2024, pp. 1147-1152, doi: 10.1109/GlobalAISummit62156.2024.10947978. [link]
K. Jain, S. Jain, U. Kaur, A. Dahiya, R. Bhandari and S. Goel, “Combining CNN and SVM for High-Precision Wheat Disease Classification using Leaf Image Analysis,” 2024 Global Conference on Communications and Information Technologies (GCCIT), BANGALORE, India, 2024, pp. 1-6, doi: 10.1109/GCCIT63234.2024.10862175. [link]
K. Jain, G. S. Pradeep Ghantasala, R. Bhandari, G. Kaur, R. S. R and A. Sungheetha, “Hybrid Machine Learning Model for Predicting Damage Scale in Sunflower Leaves affected by Aster Yellow Disease,” 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), Manipal, India, 2024, pp. 225-231, doi: 10.1109/ICRAIS62903.2024.10811730. [link]
D. Singh, P. Singh and R. Bhandari, “Enhancing Deepfake Video Detection: A Hybrid CNN-LSTM Approach,” 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP), Bali, Indonesia, 2024, pp. 130-135, doi: 10.1109/TIACOMP64125.2024.00031. [link]
S. Singla, P. Saini, K. Malhotra, M. Kukreja, G. Kiran and R. Bhandari, “Exploration and Analysis of Various Techniques used in 2D to 3D Image and Video Reconstruction,” 2024 International Conference on Emerging Innovations and Advanced Computing (INNOCOMP), Sonipat, India, 2024, pp. 8-15, doi: 10.1109/INNOCOMP63224.2024.00013. [link]
S. Sharma and R. Bhandari, “Investigating Brain Tumor Detection and Classification through various Deep Learning Approaches,” 2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2024, pp. 562-567, doi: 10.1109/CCICT62777.2024.00094. [link]
G. Singh, R. Bhandari and P. Singh, “Development and Implementation of a Novel Hybrid Stemmer for Punjabi NLP: Integrating Rule-Based and Dictionary-Based Algorithms,” 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India, 2024, pp. 1-10, doi: 10.1109/AMATHE61652.2024.10582252. [link]
Whig, P., Bhandari, R., Neware, R., Raja Sekhar, G.G., Sankhla, R.S. (2024). Performance Analysis of Cost Measure Methods to Calculate Motion Vector in Motion Estimation Algorithms. In: Sikander, A., Zurek-Mortka, M., Chanda, C.K., Mondal, P.K. (eds) Advances in Energy and Control Systems. ESDA 2022. Lecture Notes in Electrical Engineering, vol 1148. Springer, Singapore. https://doi.org/10.1007/978-981-97-0154-4_25 [link]
G. Singh, R. Bhandari and P. Singh, “Advancing NLP for Punjabi Language: A Comprehensive Review of Language Processing Challenges and Opportunities,” 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2024, pp. 1250-1257, doi: 10.1109/IDCIoT59759.2024.10467354. [link]
R. R. Kumar, R. Bhandari, A. K. Jain, N. Sharma, V. Sharma and S. Chawla, “Hybrid CNN & Random Forest Model for Effective Tea Leaf Disease Diagnosis,” 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, 2024, pp. 1-6, doi: 10.1109/ICAECT60202.2024.10469122. [link]
P. Sharma, G. Kaur, H. K. Saini and R. Bhandari, “Cloud-Powered Personalization: An Advanced Recommendation System for E-Commerce Sites,” 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICCAKM58659.2023.10449543. [link]
Panigrahi, R. Bhandari, K. Priya, V. Gandhi and Shivraj, “Harmony in Algorithms: Exploring Music Genre Classification Through Machine Learning,” 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICCAKM58659.2023.10449573. [link]
S. Singla, A. Soni, E. S. Kashyap, S. S. Kang, G. Singh and R. Bhandari, “From Strings to Secrets: Modernizing Password Management for Enhanced Security,” 2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech), Banur, India, 2023, pp. 110-115, doi: 10.1109/ICACCTech61146.2023.00026. [link]
K. Sanu and R. Bhandari, “Prediction of Handwritten Classification using CNN Techniques,” 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 411-415, doi: 10.1109/ICSC60394.2023.10441646. [link]
R. Bhandari, H. K. Saini and S. Singla, “A Novel Pattern for Searching Motion Vector in Interframe Coding,” 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 28-32, doi: 10.1109/ICSC60394.2023.10441317. [link]
M. Kaur, R. Bhandari, H. K. Saini, H. Phour, S. Kaur and B. Sharma, “A Comparative Analysis on Varying Transmission Ranges in MANET using AODV,” 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2023, pp. 1-6, doi: 10.1109/ICIICS59993.2023.10420885. [link]
R. Bhandari, S. Singla and D. Sihag, “An Ensemble Regression Model to Predict a Rent of House,” 2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2023, pp. 631-637, doi: 10.1109/ICTACS59847.2023.10389820. [link]
R. Bhandari, A. Vajpayee, R. Kumar and D. Sihag, “Design and Analysis of Novel searching pattern in motion estimation used for video compression,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10306376. [link]
Bhandari, R., Jain, A.K., Singh, M.P., Garg, K.D. (2023). Optimization of Classification Algorithm for Improving Semantic-Based Text Classification. In: Chakraborty, B., Biswas, A., Chakrabarti, A. (eds) Advances in Data Science and Computing Technologies. ADSC 2022. Lecture Notes in Electrical Engineering, vol 1056. Springer, Singapore. https://doi.org/10.1007/978-981-99-3656-4_61 [link]
V. Sharma, S. Goel, A. K. Jain, A. Vajpayee, R. Bhandari and R. G. Tiwari, “Machine Learning based Classifier Models for Detection of Celestial Objects,” 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-7, doi: 10.1109/CONIT59222.2023.10205666. [link]
K. Jain, V. Sharma, S. Goel, R. G. Tiwari, A. Vajpayee and R. Bhandari, “Driver Drowsiness Detection Using Deep Learning,” 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2023, pp. 1-6, doi: 10.1109/CONIT59222.2023.10205537. [link]
Dolly Kumari; Rahul Bhandari, “Comprehensive Analysis of Machine Learning Techniques for Parkinson’s disease Diagnosis”, 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET) 2023. 10.1109/TEMSMET56707.2023.10149929 [link]
Dolly Kumari, Rahul Bhandari, “Machine Learning techniques to investigate Parkinson‘s disease”, 7th International Conference on Trends in Electronics and Informatics ICOEI 2023. 10.1109/ICOEI56765.2023.10125933 [link]
Garg, K.D., Sood, V.M., Narang, S.K., Bhandari, R., “Bidirectional Machine Translation for Punjabi-English, Punjabi-Hindi, and Hindi-English Language Pairs”, Proceedings of International Conference on Recent Innovations in Computing. Lecture Notes in Electrical Engineering, vol 1001. Springer, Singapore. (Scopus Indexed) https://doi.org/10.1007/978- 981-19-9876-8_47 2023. [link]
Kumar, R. Gupta and R. Bhandari, “WoS Bibliometric-based Review on Serverless Computing model,” 2022 Seventh International Conference on Parallel, Distributed and Grid Computing (PDGC), Solan, Himachal Pradesh, India, 2022, pp. 600-605, doi: 10.1109/PDGC56933.2022.10053142. [link]
R Bhandari, A Singla, MP Singh, “Recognize the Rect-Octo Pattern in a Video Compression based on Block-based Motion Estimation”, 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) 2021. [link]
WP Nadikattu R.R., Bhandari R., “Improved pattern of Adaptive Rood Pattern Search Algorithm for Motion Estimation in Video Compression”, Innovations in Cyber Physical Systems. 788, 441-448. 2021. [link]
A Mathur, R Bhandari, A Mishra, “An improved block-based motion estimation algorithm for compressing a video”, Lecture notes on Data Engineering and Communications Technologies, Springer, Cham (WOS, Scopus) 2018. [link]
M Kumar, R Bhandari, A Rupani, JH Ansari, “Trust-based Performance evaluation of Routing Protocol Design with Security and QoS over MANET” International Conference on Advances in Computing and Communication Engineering (ICACCE), Paris, France, 2018. [link]

Patents

Adaptive Clustering Based Energy Efficient System for Intelligent Routing in Wireless Sensor Networks

Office: Australian Patent Type: Utility

Application No.: AU 2021101073 Status: Granted (valid for 8 years from 27 February 2021)

Laptop Stand for Heat Dissipation