Rajesh Rohilla

1. Dean (Alumni affairs )- March 2020-december 2024

2. HOD (Training & Placement)- August 2018 to December 2024

3. Associate HOD, ECE department, 2006-2009

4. Associate director, IQAC, 2015-2017

5. Hostel Office Incharge, 2015-2018

6. Member, Academic Council, DTU,2018-2024

7. Member, DRC (ECE) 2023

8. Incharge, DTU Guest House( 2020-2022)

9. Member, House allotment committee, 2021-24

10. member, DPC

11. Centre Superintendent, CEE 2007 for admission to DCE

 

 

1. Machine Learning

2 Computer Vision

3. Object Tracking

4. Robotics & Object Tracking

5. digital Signal Processing

6. Computer Architecture

7. Computer Networks

8. Signals & Systems

9. Digital Design

10. Microprocessors & Interfacing

IEEE Member

Journal Publications
[1] R. Thakur and R. Rohilla, "Recent advances in digital image manipulation detection
techniques: A brief review," Forensic Science International, vol. 312, p. 110311, Sep.
2020.
[2] R. Sharma, R. Rohilla, M. Sharma, and T. C. Manjunath, "Design & simulation of
optical fiber Bragg grating pressure sensor for minimum attenuation criteria," Journal of
Theoretical & Applied Information Technology, vol. 5, no. 5, pp. 586-591, May 2009.
[3] R. Rohilla, V. Sikri, and R. Kapoor, "Spider monkey optimisation assisted particle
filter for robust object tracking," IET Computer Vision, vol. 11, no. 3, pp. 207-219, May
2017.
[4] N. Sharma and R. Rohilla, "A multilevel authentication-based blockchain powered
medicine anti-counterfeiting for reliable IoT supply chain management," The Journal of
Supercomputing, vol. 80, no. 4, pp. 4870-4913, Mar. 2024.
[5] P. Datta and R. Rohilla, "Brain tumor image pixel segmentation and detection using
an aggregation of GAN models with vision transformer," International Journal of Imaging
Systems and Technology, vol. 34, no. 1, p. e22979, Jan. 2024.
[6] P. Datta and R. Rohilla, "An autonomous and intelligent hybrid CNN-RNN-LSTM
based approach for the detection and classification of abnormalities in brain,"
Multimedia Tools and Applications, vol. 83, no. 21, pp. 60627-60653, Aug. 2024.
[7] Kavita, G. S. Walia, and R. Rohilla, "A contemporary survey of multimodal
presentation attack detection techniques: challenges and opportunities," SN Computer
Science, vol. 2, no. 1, p. 49, Jan. 2021.
[8] N. Sharma and R. Rohilla, "A novel hyperledger blockchain-enabled decentralized
application for drug discovery chain management," Computers & Industrial Engineering,
vol. 183, p. 109501, Oct. 2023.
[9] R. Thakur and R. Rohilla, "An effective framework based on hybrid learning and
kernel principal component analysis for face manipulation detection," Signal, Image and
Video Processing, vol. 18, no. 5, pp. 4811-4820, Jul. 2024.
[10] N. Sharma and R. Rohilla, "Scalable and cost-efficient poa consensus-based
blockchain solution for vaccination record management," Wireless Personal
Communications, vol. 135, no. 2, pp. 1177-1207, Apr. 2024.
[11] A. Dahiya, P. Mittal, and R. Rohilla, "Modified decoupled sense amplifier with
improved sensing speed for low-voltage differential SRAM," ACM Transactions on
Design Automation of Electronic Systems, vol. 28, no. 6, pp. 1-15, Nov. 2023.

[12] A. Dahiya, P. Mittal, and R. Rohilla, "Variation-tolerant sense amplifier using
decoupling transistors for enhanced SRAM read performance," Circuits, Systems, and
Signal Processing, vol. 42, no. 10, pp. 5799-5810, Oct. 2023.
[13] Kavita, R. Rohilla, and G. S. Walia, "Towards optimal score level fusion for adaptive
multi-biometric authentication system," Multimedia Tools and Applications, vol. 84, no.
18, pp. 19289-19313, Aug. 2025.
[14] P. Datta and R. Rohilla, "Comprehensive survey on computational techniques for
brain tumor detection: Past, present and future," Archives of Computational Methods in
Engineering, vol. 32, no. 5, pp. 3241-3264, Sep. 2025.
[15] R. Thakur and R. Rohilla, "MDLFormer: multi-modal global context-based swin
transformer for image manipulation detection and localization," Signal, Image and Video
Processing, vol. 19, no. 11, p. 880, Nov. 2025.
[16] A. Dahiya, P. Mittal, and R. Rohilla, "Realizing in-memory computing using reliable
differential 8T SRAM for improved latency," ACM Transactions on Design Automation of
Electronic Systems, vol. 29, no. 6, pp. 1-15, Nov. 2024.
[17] R. Kapoor and R. Rohilla, "Modified foreground segmentation for object tracking
using wavelets in a tensor framework," International Journal of Electronics, vol. 102, no.
9, pp. 1560-1582, Sep. 2015.
[18] A. Dahiya, P. Mittal, and R. Rohilla, "A low-power half-select free 8T SRAM cell with
process-induced variation resistance for voltage scaling at 32 nm technology node,"
Integration, p. 102586, Mar. 2025.
[19] R. Rohilla and R. Kapoor, "Improved fpga implementation of real time modified
mean shift tracking algorithm," Indian Journal of Science and Technology, vol. 9, no. 39,
pp. 1-7, Oct. 2016.
[20] A. Sharma, A. Malik, and R. Rohilla, "A robust mean shift integrating color, GLCM-
based texture features and frame differencing," International Journal of Scientific &
Engineering Research, vol. 7, no. 2, pp. 1386-1398, Feb. 2016.
[21] N. Sharma and R. Rohilla, "Blockchain based Secured Telecare Medical Record
Management: A System Design," Grenze International Journal of Engineering &
Technology (GIJET), vol. 7, no. 1, pp. 45-53, Jan. 2021.
[22] R. Thakur and R. Rohilla, "eSNN: efficientNet-based Siamese neural network for
offline signature verification and forgery detection," Multimedia Tools and Applications,
vol. 85, no. 5, pp. 512-534, Feb. 2026.

[23] N. Sharma and R. Rohilla, "A novel scalable and cost efficient blockchain solution
for managing lifetime vaccination records based on patient preference," International
Journal of Electronic Security and Digital Forensics, vol. 17, no. 1-2, pp. 88-105, 2025.
Conference Publications & Proceedings
[1] R. Punia, L. Kumar, M. Mujahid, and R. Rohilla, "Computer vision and radiology for
COVID-19 detection," in Proceedings of the 2020 International Conference for Emerging
Technology (INCET), Belgaum, India, 2020, pp. 1-5.
[2] S. Zahoor and R. Rohilla, "Twitter sentiment analysis using lexical or rule based
approach: a case study," in Proceedings of the 2020 8th International Conference on
Reliability, Infocom Technologies and Optimization (Trends and Future Directions)
(ICRITO), Noida, India, 2020, pp. 234-239.
[3] S. Zahoor and R. Rohilla, "Twitter sentiment analysis using machine learning
algorithms: a case study," in Proceedings of the 2020 International Conference on
Advances in Computing, Communication, & Materials (ICACCM), Dehradun, India,
2020, pp. 431-436.
[4] H. Choudhary, S. Rao, and R. Rohilla, "Neural machine translation for low-
resourced Indian languages," in Proceedings of the 12th Language Resources and
Evaluation Conference (LREC), Marseille, France, 2020, pp. 4520-4527.
[5] R. Thakur and R. Rohilla, "Copy-move forgery detection using residuals and
convolutional neural network framework: a novel approach," in Proceedings of the 2019
2nd International Conference on Power Energy, Environment and Intelligent Control
(PEEIC), Greater Noida, India, 2019, pp. 512-517.
[6] N. Sharma and R. Rohilla, "Blockchain based electronic health record management
system for data integrity," in Proceedings of International Conference on Computational
Intelligence: ICCI 2020, Singapore: Springer, 2021, pp. 321-331.
[7] K. Kavita, G. S. Walia, and R. Rohilla, "A contemporary survey of unimodal liveness
detection techniques: Challenges & opportunities," in Proceedings of the 2020 3rd
International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi,
India, 2020, pp. 1104-1109.
[8] P. Datta and R. Rohilla, "An introduction to deep learning applications in mri
images," in Proceedings of the 2019 2nd International Conference on Power Energy,
Environment and Intelligent Control (PEEIC), Greater Noida, India, 2019, pp. 601-606.
[9] P. Sharma, G. S. Walia, and R. Rohilla, "Recent advancement in cancelable
biometric for user recognition: a brief survey," in Proceedings of the 2020 9th
International Conference on System Modeling and Advancement in Research Trends
(SMART), Moradabad, India, 2020, pp. 245-250.

[10] R. Rohilla, A. Raj, S. Kejriwal, and R. Kapoor, "FPGA accelerated abandoned
object detection," in Proceedings of the 2016 International Conference on
Computational Techniques in Information and Communication Technologies (ICCTICT),
New Delhi, India, 2016, pp. 112-117.
[11] P. Mittal, K. Pandey, P. Tawani, and R. Rohilla, "CNN-based Person Recognition
System for Masked Faces in a post-pandemic world," in Proceedings of the 2021 2nd
International Conference for Emerging Technology (INCET), Belgaum, India, 2021, pp.
1-6.
[12] B. M. Angatia, W. A. Y. Abdalla, and R. Rohilla, "Helmet Detection and License
Plate Extraction for Two-Wheeler Offenders," in Proceedings of the 2023 14th
International Conference on Computing Communication and Networking Technologies
(ICCCNT), Delhi, India, 2023, pp. 1-6.
[13] P. Datta and R. Rohilla, "Denoising magnetic resonance images with Rician noise
based on deep learning," in Proceedings of the 2022 International Conference on
Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater
Noida, India, 2022, pp. 312-317.
[14] N. Sharma and R. Rohilla, "Blockchain based approach for managing medical
practitioner record: a secured design," in Proceedings of the International Advanced
Computing Conference (IACC), Singapore: Springer, 2020, pp. 73-82.
[15] P. Sharma, G. S. Walia, and R. Rohilla, "Alignment-free cancelable biometric: a
contemporary survey, opportunities & challenges," in Proceedings of the 2020 3rd
International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi,
India, 2020, pp. 915-921.
[16] R. Rohilla, "Exploring vision transformer model for detecting lithography hotspots,"
in Proceedings of the 2022 International Conference on Disruptive Technologies for
Multi-Disciplinary Research and Applications (CENTCON), Bengaluru, India, 2022, pp.
88-93.
[17] A. Sharma, A. Singh, and R. Rohilla, "Color based human detection and tracking
algorithm using a non-Gaussian adaptive Particle filter," in Proceedings of the 2016 3rd
International Conference on Recent Advances in Information Technology (RAIT),
Dhanbad, India, 2016, pp. 412-417.
[18] K. Garg, N. Chandna, S. Aggarwal, C. Sehgal, A. Gupta, and R. Rohilla,
"Autonomous uav navigation and mapping for accurate fruit detection and counting in
controlled environments: Simulation and real-world validation," in Proceedings of the
2025 International Conference on Unmanned Aircraft Systems (ICUAS), Warsaw,
Poland, 2025, pp. 243-248.

[19] Ayush, P. Mittal, and R. Rohilla, "Comparative analysis of current sense amplifier
architectures for SRAM at 45 nm technology node," in Proceedings of the International
Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS),
Singapore: Springer, 2022, pp. 145-154.
[20] R. Thakur and R. Rohilla, "Lfrvit: Laplacian filter residual-based vision transformer
for multiple image forgery detection," in Proceedings of the 2024 15th International
Conference on Computing Communication and Networking Technologies (ICCCNT),
Mandi, India, 2024, pp. 1-6.
[21] R. Rohilla, H. Bansal, G. Kediyal, and A. Dhamija, "Portraits Editing using
StyleGANs & Transfer Learning," in Proceedings of the 2022 6th International
Conference on Computing Methodologies and Communication (ICCMC), Erode, India,
2022, pp. 1024-1029.
[22] P. Datta and R. Rohilla, "Transfer Learning-Based Brain Tumor Detection Using
MR Images," in Computational and Experimental Methods in Mechanical Engineering,
Lecture Notes in Mechanical Engineering, Singapore: Springer, 2021, pp. 511-521.
[23] Sumedha and R. Rohilla, "Empirical laws of natural language processing for neural
language generated text," in Proceedings of the International Conference on
Information, Communication and Computing Technology (ICICCT), Singapore:
Springer, 2021, pp. 189-198.
[24] P. Datta and R. Rohilla, "Optimization and Performance matrices in 5G Networks,"
in Proceedings of the 2019 2nd International Conference on Power Energy,
Environment and Intelligent Control (PEEIC), Greater Noida, India, 2019, pp. 441-445.
[25] R. Rohilla, R. R. Maiya, and R. Bharti, "Sentiment Driven Reinforcement Learning
Trading Strategies to Enhance Market Performance," in Proceedings of the 2023 14th
International Conference on Computing Communication and Networking Technologies
(ICCCNT), Delhi, India, 2023, pp. 1-6.
[26] R. Rohilla, P. S. Banga, P. Garg, and P. Mittal, "GPU based Re-trainable Pruned
CNN design for Camera Trapping at the Edge," in Proceedings of the 2020 International
Conference on Electronics and Sustainable Communication Systems (ICESC),
Coimbatore, India, 2020, pp. 884-889.
[27] R. Rohilla, V. Dehiya, and R. Kapoor, "Targeted surveillance system for highly
maneuverable objects using fuzzy Kalman filter," in Proceedings of the 2014 9th
International Conference on Industrial and Information Systems (ICIIS), Gwalior, India,
2014, pp. 1-6.
[28] A. Dahiya, P. Mittal, and R. Rohilla, "Design Trade-Offs in 8T SRAM Architectures:
Differential and Single-Ended Approaches," in Proceedings of the International

Conference on Data Science and Applications (ICDSA), Singapore: Springer, 2025, pp.
123-133.
[29] R. Rohilla, "Assessment of Different Approaches used for Image Enhancement in
Underwater Scenarios," in Proceedings of the 2023 9th International Conference on
Signal Processing and Communication (ICSC), Noida, India, 2023, pp. 310-315.
[30] P. Datta and R. Rohilla, "Brain Tumor Diagnosis Using Triplanar Multi-Layer
Morphological Convolution Neural Network," in Proceedings of the 2023 International
Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater
Noida, India, 2023, pp. 112-117.
[31] P. Datta and R. Rohilla, "An Intelligent Approach for the Diagnosis of Brain Tumor
by Amalgamation of Segmentation and Rendering Technique," in Proceedings of the
2023 International Conference on Power Energy, Environment & Intelligent Control
(PEEIC), Greater Noida, India, 2023, pp. 118-123.
[32] R. Rohilla, "Empirical Analysis of Different Existing Methods for Image
Enhancement in Underwater Scenarios," in Proceedings of the 2023 Seventh
International Conference on Image Information Processing (ICIIP), Shimla, India, 2023,
pp. 56-61.
[33] R. Punia and R. Rohilla, "Computer Vision Approach for COVID-19 Detection," in
Proceedings of the 2nd International Conference on Recent Trends in Machine
Learning, IoT, Smart Cities and Applications (ICMISC), Singapore: Springer, 2022, pp.
245-254.
[34] S. Kumar and R. Rohilla, "Hand Vein Pattern Extraction and Recognition," in
Proceedings of the International Conference on Image Processing and Machine Vision,
2021, pp. 92-97.

1. Premier research award, DTU 2024

2. Commendable research award, 2021

Three PhDs awarded, one submitted, Five under progress.