PROFILE

Prof. S. Indu is a Professor in the Department of Electronics and Communication Engineering at Delhi Technological University (DTU), Delhi, and currently serves as the Dean (Digital Education). She has been a faculty member at DTU since 1999 and has held several key leadership positions, including Dean (Student Welfare), Head of the Department of Electronics and Communication Engineering, and Interim Vice Chancellor of the University.

She obtained her B.Tech. and M.Tech. degrees in Electrical Engineering from the University of Kerala and earned her Ph.D. from the University of Delhi. Her research interests include computer vision, image processing, visual sensor networks, intelligent transportation systems, edge intelligence, artificial intelligence, machine learning, and Internet of Things (IoT).

Prof. Indu has published over 200 research papers in leading international journals and conferences, authored three books, and holds three patents. She has successfully supervised 21 Ph.D. scholars and more than 50 M.Tech. dissertations. She has completed six sponsored research projects funded by agencies including the Department of Science and Technology (DST), MeitY, Naval Research Board, IIIT Hyderabad, and IIT Jodhpur.

As Dean (Digital Education), she is leading DTU's initiatives in digital learning, executive education, and technology-enabled teaching, contributing to the implementation of the National Education Policy (NEP) 2020. She has played a pivotal role in launching innovative online certificate and postgraduate programmes for working professionals and strengthening DTU's digital education ecosystem.

Prof. Indu is actively involved in the professional research community through her leadership roles in national and international conferences and professional societies. She has served on the organizing committees of several premier conferences in computer vision, pattern recognition, and artificial intelligence, and has contributed significantly to advancing research collaborations and academic excellence. She is a recipient of the DTU Research Excellence Award on multiple occasions in recognition of her outstanding research contributions.

PREVIOUS POSITIONS/ EXPERIENCE

  • Dean (Digital Education), Delhi Technological University (DTU), Delhi (Present)
  • Interim Vice Chancellor, Delhi Technological University (DTU), Delhi (September 2023 – November 2023)
  • Dean (Student Welfare), Delhi Technological University (DTU), Delhi (September 2019 – December 2024)
  • Head, Department of Electronics & Communication Engineering, Delhi Technological University (DTU), Delhi (September 2016 – August 2019)
  • Professor, Department of Electronics & Communication Engineering, Delhi Technological University (DTU), Delhi (Present)
  • Faculty Member, Department of Electronics & Communication Engineering, Delhi College of Engineering / Delhi Technological University (Since 1999)
  • Chair Person Cultuatral Council  2015-2023
  • Branch Councillor IEEE DTU student Branch 2013-2018
  • PRO, DTU 2012-2015 and 2021-2024

  • Academic and Administrative Experience

  • More than 27 years of teaching, research, and academic administration in engineering education.
  • Extensive experience in academic leadership, institutional governance, digital education, curriculum development, student welfare, and research administration.
  • Led several university-wide initiatives aligned with the National Education Policy (NEP) 2020, including online degree and certificate programs for working professionals.
  • Successfully supervised 21 Ph.D. scholars and guided more than 50 M.Tech. dissertations.
  • Principal Investigator for six sponsored research projects funded by agencies including DST, MeitY, Naval Research Board, IIIT Hyderabad, and IIT Jodhpur.
  • Published around 200 research papers, authored 2 books, and holds 5 patents in the areas of computer vision, sensor networks, image processing, intelligent transportation systems, and artificial intelligence.

TEACHING (COURSES TAUGHT)

               UG courses

  • Basic Electronics
  • Digital Electronics
  • MicroProcessors and Interfacing
  • Embedded Systems

              PG courses

  • Embedded System design
  • Digital Design 
  • Signl Processing

MEMBERSHIPS

Senior Member IEEE 80364919

Life member  ISTE LM 31640

Life member IETE M150488

Life member IUPRAI L046

Associate Member INAE

PUBLICATIONS

  1.  I. Pathak, S. Indu and G. S. Walia (2026), “GBFF: A Graph?Based Feature Fusion Framework for Malware Detection in Encrypted Network Flows,” Concurrency and Computation: Practice and Experience 38 (14), e70853, Wiley.
  2.  R. Tripathi, S. Indu and R. Kumar (2026), “REDS-Net: uncertainty aware road crack segmentation based on residual enhanced Dilated segmentation network for ADAS,” Nondestructive Testing and Evaluation 41 (6), 3384-3406, Taylor & Francis.
  3. M. Singh, S. Indu and N. Jayanthi (2026), “YogCNN: an ensemble neural network architecture for yoga asana prediction,” Evolving Systems 17 (2), 62, Springer.
  4. S. Jain, S. Indu and N. Goel (2025), “SmartDriveNet: an integrated approach for robust driving perception in unstructured environments and adverse weather conditions,” S?dhan? 50 (4), 344, Springer.
  5. T. Singh, S. Jha, N. Bhatt, P. Handa, N. Goel and S. Indu (2025), “Machine learning methodologies in video capsule endoscopy-based bleeding analysis: A systematic review of progress and prospects (2008–2024),” Engineering Applications of Artificial Intelligence 159, 111659, Elsevier.
  6.  T. Gupta, I. Sreedevi and R. Jindal (2025), “Segmenting hotspots from medical thermal images using Density-based modified FC-PcFS with spatial information,” Quantitative InfraRed Thermography Journal 22 (4), 368-404, Taylor & Francis.
  7. Shikha, D. Sethia and S. Indu (2025), “A systematic review on physiology-based anxiety detection using machine learning,” Biomedical Physics & Engineering Express 11 (4), 042002, IOP Publishing.
  8.  B. Singh, S. Indu and S. Majumdar (2025), “Comparative Analysis of Intrusion Detection Models Using Quantum Machine Learning Techniques,” Circuits, Systems, and Signal Processing, 1-27, Springer.
  9. N. Sharma, C. Dhiman and S. Indu (2025), “Cross-Modal Pedestrian Behavior Prediction: A Dual-Task Approach With Progressive Denoising Attention and CVAE,” IEEE Transactions on Intelligent Transportation Systems, IEEE.
  10.  Shikha, D. Sethia and S. Indu (2025), “Krafs-anet: A novel framework for eeg-based stress classification using channel selection and optimized ensemble stacking,” International Journal of Machine Learning and Cybernetics 16 (5), 3359-3380, Springer.
  11.  N. Sharma, C. Dhiman and S. Indu (2025), “Predicting pedestrian intentions with multimodal IntentFormer: A Co-learning approach,” Pattern Recognition 161, 111205, Elsevier.
  12. Shikha, D. Sethia and S. Indu (2025), “ST-CIRL: a reinforcement learning-based feature selection approach for enhanced anxiety classification,” Physiological Measurement 46 (2), 025009, IOP Publishing.
  13. B. Singh, S. Indu and S. Majumdar (2025), “Comparison of machine learning algorithms for classification of Big Data sets,” Theoretical Computer Science 1024, 114938, Elsevier.
  14.  P. Handa, N. Goel, S. Indu and D. Gunjan (2024), “AI-KODA score application for cleanliness assessment in video capsule endoscopy frames,” Minimally Invasive Therapy & Allied Technologies 33 (5), 311-320, Taylor & Francis.
  15. B. Singh, S. Majumdar and S. Indu (2024), “A systematic comparative analysis of Quantum mechanics-based image processing and denoising algorithms,” Quantum Studies: Mathematics and Foundations 11 (3), 427-458, Springer.
  16. . Shikha, D. Sethia and S. Indu (2024), “Optimization of wearable biosensor data for stress classification using machine learning and explainable AI,” IEEE Access 12, 169310-169327, IEEE.
  17.  P. Handa, N. Goel, S. Indu and D. Gunjan (2024), “A multi-label dataset and its evaluation for automated scoring system for cleanliness assessment in video capsule endoscopy,” Physical and Engineering Sciences in Medicine 47 (3), 1213-1226, Springer.
  18.  R. Tripathi, S. Indu and R. Kumar (2024), “ERCU-Net: segmentation of road potholes using enhanced residual convolutional block based on U-Net for ADAS,” Signal, Image and Video Processing 18 (Suppl 1), 385-394, Springer.
  19.  P. Handa, N. Goel, S. Indu and D. Gunjan (2024), “Comprehensive evaluation of a new automatic scoring system for cleanliness assessment in video capsule endoscopy,” International Journal of Imaging Systems and Technology 34 (3), e23097, Wiley.
  20. P. Handa, N. Goel, S. Indu and D. Gunjan (2024), “Computer?Aided Polyp Detection Using Customized Convolutional Neural Network Architecture,” Intelligent Data Analytics for Bioinformatics and Biomedical Systems, 93-107, Wiley.
  21.  N. Sharma, C. Dhiman and S. Indu (2024), “Progressive Contextual Trajectory Prediction with Adaptive Gating and Fuzzy Logic Integration,” IEEE Transactions on Intelligent Vehicles, IEEE.
  22.  E. O. Omayio, S. Indu and J. Panda (2024), “Word spotting and character recognition of handwritten Hindi scripts by Integral Histogram of Oriented Displacement (IHOD) descriptor,” Multimedia Tools and Applications 83 (1), 1379-1406, Springer.
  23.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Design of advanced intrusion detection systems based on hybrid machine learning techniques in hierarchically wireless sensor networks,” Connection Science 35 (1), 2246703, Taylor & Francis.
  24. B. Singh, S. Indu and S. Majumdar (2023), “Quantum Computing-Based Image Representation with IBM QISKIT Libraries,” Intelligent Data Analytics, IoT, and Blockchain, 89-101, Taylor & Francis.
  25.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Secure localization techniques in wireless sensor networks against routing attacks based on hybrid machine learning models,” Alexandria Engineering Journal 82, 82-100, Elsevier.
  26.  P. Chugh, M. Gupta, S. Indu, G. Chaudhary, M. Khari and V. Shanmuganathan (2023), “Advanced energy efficient pegasis based routing protocol for IoT applications,” Microprocessors and Microsystems 103, 104727, Elsevier.
  27.  N. Sharma, C. Dhiman and S. Indu (2023), “Visual–motion–interaction-guided pedestrian intention prediction framework,” IEEE Sensors Journal 23 (22), 27540-27548, IEEE.
  28. P. Handa, N. Goel, S. Indu and D. Gunjan (2023), “Automatic Detection of Colorectal Polyps with Mixed Convolutions and its Occlusion Testing,” Neural Computing and Applications 35 (26), 19409-19426, Springer.
  29.  T. Gupta, R. Jindal and I. Sreedevi (2023), “Empirical Review of Various Thermography-Based Computer-Aided Diagnostic Systems for Multiple Diseases,” ACM Transactions on Intelligent Systems and Technology 14 (3), 1-33, ACM.
  30. A. Kaushik, L. S. S. Vadlamani, M. M. Hussain, M. Sahay, R. Singh, A. K. Singh and et al. (2023), “Post Quantum Public and Private Key Cryptography Optimized for IoT Security,” Wireless Personal Communications 129 (2), 893-909, Springer.
  31.  I. Tomar, I. Sreedevi and N. Pandey (2023), “PLC and SCADA based Real Time Monitoring and Train Control System for the Metro Railways Infrastructure,” Wireless Personal Communications 129 (1), 521-548, Springer.
  32.  R. Yadav, I. Sreedevi and D. Gupta (2023), “Augmentation in performance and security of WSNs for IoT applications using feature selection and classification techniques,” Alexandria Engineering Journal 65, 461-473, Elsevier.
  33.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Blockchain-Based Secure Localization against Malicious Nodes in IoT-Based Wireless Sensor Networks Using Federated Learning,” Wireless Communications and Mobile Computing 2023, Wiley.
  34.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Research Article Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network,” Venue not supplied, Wiley.
  35.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Research Article Blockchain-Based Secure Localization against Malicious Nodes in IoT-Based Wireless Sensor Networks Using Federated Learning,” Venue not supplied, Wiley.
  36.  K. Tripathi, A. Ghosh, A. Mangal, M. Sreejeth and S. Indu (2023), “Thermal study of MOSFET heat sinks for motor controller in neighbourhood electric vehicles,” Int. J. Electric and Hybrid Vehicles 15 (3), Inderscience Publishers.
  37.  G. G. Gebremariam, J. Panda and S. Indu (2023), “Localization and detection of multiple attacks in wireless sensor networks using artificial neural network,” Wireless Communications and Mobile Computing 2023 (1), 2744706, Wiley.
  38.  I. Tomar, I. Sreedevi and N. Pandey (2023), “Real Time Control System for Metro Railways Using PLC & SCADA,” INTELLIGENT AUTOMATION AND SOFT COMPUTING 35 (2), 1403-1421, Springer.
  39.  S. Kumar, S. Indu and G. S. Walia (2023), “Optimal Unification of Static and Dynamic Features for Smartphone Security Analysis.,” Intelligent Automation & Soft Computing 35 (1), Tech Science Press.
  40.  Shashank and I. Sreedevi (2022), “Spatiotemporal Activity Mapping for Enhanced Multi-Object Detection with Reduced Resource Utilization,” Electronics 12 (1), 37, MDPI.
  41.  Y. Ahuja, T. Nitharwal, U. Sundriyal, S. Indu and A. K. Mandpura (2022), “Depth Reconstruction Based Visual SLAM Using ORB Feature Extraction,” Journal of Image and Graphics 10 (4), 172-177, EJournal Publishing.
  42.  Shashank and I. Sreedevi (2022), “Distributed Network of Adaptive and Self-Reconfigurable Active Vision Systems,” Symmetry 14 (11), 2281, MDPI.
  43. . N. Sharma, C. Dhiman and S. Indu (2022), “Pedestrian intention prediction for autonomous vehicles: A comprehensive survey,” Neurocomputing 508, 120-152, Elsevier.
  44. . J. Swarup and I. Sreedevi (2022), “DWT based historical image enhancement technique using adaptive gamma correction,” Journal of Algebraic Statistics 13 (1), 654-664,
  45.  S. Kumar, S. Indu and G. S. Walia (2022), “A Novel Traffic Based Framework for Smartphone Security Analysis,” Defence Science Journal 72 (3), 371, DRDO.
  46.  E. O. Omayio, S. Indu and J. Panda (2022), “Historical manuscript dating: traditional and current trends,” Multimedia Tools and Applications, 1-30, Springer.
  47.  R. Yadav, I. Sreedevi and D. Gupta (2022), “Bio-Inspired Hybrid Optimization Algorithms for Energy Efficient Wireless Sensor Networks: A Comprehensive Review,” Electronics 11 (10), 1545, MDPI.
  48.  I. Tomar, I. Sreedevi and N. Pandey (2022), “State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends,” Electronics 11 (3), 465, MDPI.
  49.  M. Gupta, L. Bhargava and S. Indu (2022), “Deep neural network learning for power limited heterogeneous system with workload classification,” Computing 104 (1), 95-122, Springer.
  50.  M. Gupta, L. Bhargava and S. Indu (2021), “Mapping techniques in multicore processors: current and future trends,” The Journal of Supercomputing 77 (8), 9308-9363, Springer.
  51.  M. Gupta, L. Bhargava and S. Indu (2021), “Dynamic workload-aware DVFS for multicore systems using machine learning,” Computing 103 (8), 1747-1769, Springer.
  52.  S. Kumar, S. Indu and G. S. Walia (2021), “An Efficient Multistage Fusion Approach for Smartphone Security Analysis.,” Defence Science Journal 71 (4), DRDO.
  53.  N. Jayanthi, V. Rajput and S. Indu (2020), “Underwater haze removal using contrast boosted grayscale image,” Multimedia Tools and Applications 79 (41), 31007-31026, Springer.
  54.  P. Chugh, D. Rai and S. Indu (2020), “A Novel Route Deviation and Optimization Algorithm Using Simulation-Optimization and Energy Efficient Constraints for Minimizing Link-Loss and Loop Problems in Wireless Sensor …,” Journal of Computational and Theoretical Nanoscience 17 (9-10), 4612-4622, American Scientific Publishers.
  55.  A. Kaushik, M. Goswami, M. Manuja, S. Indu and D. Gupta (2020), “A binary PSO approach for improving the performance of wireless sensor networks,” Wireless Personal Communications 113 (1), 263-297, Springer.
  56. . S. Anand and S. Indu (2020), “License Plate Detection Using a Proposed Ensemble Learner Classifier,” Solid State Technology, 3331-3349,
  57. . R. Sethi and S. Indu (2020), “Fusion of Underwater Image Enhancement and Restoration,” International Journal of Pattern Recognition and Artificial Intelligence 34 …, World Scientific.
  58.  D. Kaushik, U. Singh, U. Sahu, I. Sreedevi and D. Bhowmik (2020), “Comparing domain wall synapse with other non volatile memory devices for on-chip learning in analog hardware neural network,” AIP Advances 10 (2), AIP Publishing.
  59.  S. M. Antony, S. Indu and R. Pandey (2020), “An efficient solar energy harvesting system for wireless sensor network nodes,” Journal of Information and Optimization Sciences 41 (1), 39-50, Taylor & Francis.
  60.  R. Sethi and I. Sreedevi (2019), “Adaptive enhancement of underwater images using multi-objective PSO,” Multimedia Tools and Applications 78 (22), 31823-31845, Springer.
  61.  A. Kaushik, S. Indu and D. Gupta (2019), “Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization,” International Journal of Mobile Computing and Multimedia Communications …, IGI Global.
  62.  A. Kaushik, S. Indu and D. Gupta (2019), “A Grey Wolf Optimization Approach for Improving the Performance of Wireless Sensor Networks,” Wireless Personal Communications 106 (3), 1429-1449, Springer.
  63.  A. Kaushik, S. Indu and D. Gupta (2019), “A Grey Wolf Optimization Based Algorithm for Optimum Camera Placement,” Wireless Personal Communications 105 (3), 1143-1167, Springer.
  64. A. Kaushik, R. T. Yakkali, S. Indu, F. Ahmed, D. Gupta, R. Nayar and S. Yadav (2019), “A Self-Configurable Event Coverage Approach for Wireless Sensor Networks,” International Journal of Mobile Computing and Multimedia Communications …, IGI Global.
  65. R. T. Yakkali, R. Nayar and S. Indu (2018), “Object tracking and suspicious activity identification during occlusion,” International Journal of Computer Applications 179, 29-34, Foundation of Computer Science.
  66.  S. Chaudhary, S. Indu and S. Chaudhury (2017), “Video-based road traffic monitoring and prediction using dynamic Bayesian networks,” IET Intelligent Transport Systems 12 (3), 169-176, Institution of Engineering and Technology (IET).
  67.  J. Natarajan and I. Sreedevi (2017), “Enhancement of ancient manuscript images by log based binarization technique,” AEU-International Journal of Electronics and Communications 75, 15-22, Elsevier.
  68.  N. Khetan, L. Kejriwal and S. Indu (2017), “Enhancement of Degraded Manuscript Images using Adaptive Gaussian Thresholding,” International Journal of Future Generation Communication and Networking 10 …, Science and Engineering Research Support Society (SERSC).
  69.  I. Vishnoi, N. Khetan and S. Indu (2016), “COLOURED IMAGE SEGMENTATION USING K-MEANS ALGORITHM,” International Journal 15 (7),
  70. N. Jayanthi and S. Indu (2016), “Comparison of image matching techniques,” International Journal of Latest Trends in Engineering and Technology 7 (3 …,
  71.  J. Kumar, M. Kulkarni, D. Gupta and S. Indu (2015), “Secure route discovery in AODV in presence of blackhole attack,” CSI transactions on ICT 3 (2), 91-98, Springer.
  72.  R. Teja, R. Nayar, S. Aggarwal and S. Indu (2015), “Enhanced Leach Clustering Based on Event Location,” i-Manager's Journal on Wireless Communication Networks 4 (3), 19, i-manager Publications.
  73.  N. K. Pandey, S. Paul, R. R. Burman and D. S. Dhakre (2015), “Training Needs of Farmers in Vegetable Production: A Study in North-Eastern Himalayas,” Journal of Community Mobilization and Sustainable Development 10 (2), 171-176,
  74.  J. Kumar, M. Kulkarni, D. Gupta, S. Indu and S. Kumar (2014), “Optimized Power Efficient Routing in Ad-hoc Networks.,” International Journal of Next-Generation Computing 5 (2),
  75.  I. Sreedevi, R. Pandey, N. Jayanthi, G. Bhola and S. Chaudhury (2013), “Ngfica based digitization of historic inscription images,” ISRN Signal Processing 2013, Wiley.
  76.  I. Sreedevi, S. Mankhand, S. Chaudhury and A. Bhattacharyya (2013), “Bio?Inspired Distributed Sensing Using a Self?Organizing Sensor Network,” Journal of Engineering 2013 (1), 959430, Wiley.
  77.  S. Indu, V. Kesam, S. Chaudhury and A. Bhattacharyya (2011), “Self Organizing Sensor Network to Enhance Event Coverage.,” International Journal on Smart Sensing & Intelligent Systems 4 (1),
  78. S. Indu, M. Gupta and A. Bhattacharyya (2011), “Vehicle tracking and speed estimation using optical flow method,” Int. J. Engineering Science and Technology 3 (1), 429-434,
  79.  S. Indu, A. Bhattacharyya, V. Kesham and S. Chaudhury (2010), “Self deployment of mobile sensor network for optimal coverage,” International Journal of Engineering Science and Technology 2 (7), 2968-2975,
  80.  B. Jaint, S. Indu and N. Pandey (n.d.), “Energy Efficient Communication Techniques for Wireless Sensor Networks,” International Journal of Innovative Technology and Exploring Engineering …,
  81.  V. Singh, Y. Gupta, A. Rajwansh and S. Indu (2026), “AGNI: Adaptive Sensor Fusion and Terrain-Aware Navigation for Autonomous Ground Vehicles,” 2026 IEEE International Conference on Consumer Electronics (ICCE), 1-6, IEEE.
  82. A. Mudgil, A. Negi, A. Dhanda, A. Kumar, S. Thapa and S. Indu (2023), “Artificial Intelligence (AI) at the Edge for Smart Cities Applications,” Demystifying Big Data Analytics for Industries and Smart Societies, 145-171, Taylor & Francis.
  83.  N. Sharma, C. Dhiman and S. Indu (2025), “Language Model-Guided Visual Reasoning for Scene-Aware Pedestrian Intention Prediction,” International Conference on Pattern Recognition and Machine Intelligence …, Springer.
  84.  I. Pathak, S. Indu and G. S. Walia (2025), “Malware Classification of Encrypted Network Traffic (2020–2025): A Comprehensive Review and Comparative Analysis,” 2025 Eighth International Conference on Image Information Processing (ICIIP …, IEEE.
  85. C. Goel, A. Chaudhary, S. Indu and S. Majumdar (2021), “Deep Neural Network Optimization for Handwritten Text Recognition,” Progress in Advanced Computing and Intelligent Engineering, 85-94, Springer.
  86.  M. Singh, S. Indu and N. Jayanthi (2025), “Yoga Recommendation System: A GUI for Yoga Pose Detection and Health Benefit Mapping using allMiniLM-L6-v2 Embeddings,” 2025 IEEE DELCON-International Conference on Recent Smart Technologies in …, IEEE.
  87.  T. Gupta, R. Jindal and S. Indu (2025), “Deep Thermal Biomarkers for Classification of Abnormality in Medical Thermal Images,” International Conference on Computing and Communication Systems for …, Springer.
  88. R. Tripathi, S. Indu and R. Kumar (2025), “Unpaved Road Damage Detection via Semantic Segmentation: Enabling Smarter ADAS,” 2025 IEEE International Conference on Interdisciplinary Approaches in …, IEEE.
  89.  Shikha, D. Sethia and S. Indu (2025), “A Review on Feature Selection Techniques for Anxiety Classification from Physiological Signals,” 2025 First International Conference on Advances in Computer Science …, IEEE.
  90.  K. Yaduvanshi, N. Kumar, P. Dahiya, S. Indu and S. C. Sudheer (2025), “CNN based system in vehicle for different road surface and lane markings,” AIP Conference Proceedings 3233 (1), 020013, AIP Publishing.
  91.  Shikha, D. Sethia and S. Indu (2025), “CorLMI-FSA: An Efficient Feature Selection Approach for Stress Classification Using Physiological Signals,” 2025 Fifth International Conference on Advances in Electrical, Computing …, IEEE.
  92.  V. R. Vasudevan, S. Grover and S. Indu (2025), “UNIFollow: Natural Language Conditioned Target Following Framework for UAVs,” IROS 2025 Workshop-LeaPRiDE: Learning, Planning, and Reasoning in Dynamic …,
  93.  T. Gupta, S. Indu and R. Jindal (2024), “2-Phase Framework of Suspicious Region Identification in Medical Thermal Images,” 2024 1st International Conference on Sustainability and Technological …,
  94.  M. Chhabra, A. Gupta, P. Saxena, K. Jha, S. Chadha and S. Indu (2024), “Autonomous Human Following UAV Using Kalman Filter,” International Conference on Pattern Recognition, 363-375, Springer.
  95.  Lakshay, A. Basit and S. Indu (2024), “KURM: A Novel Lane Identification System for Autonomous Robotics,” International Conference on Pattern Recognition, 350-362, Springer.
  96.  I. Pathak, S. Indu and G. S. Walia (2024), “Security Assessment of IoT Devices: A Contemporary Survey,” 2024 First International Conference on Electronics, Communication and Signal …, IEEE.
  97.  Shikha, D. Sethia and S. Indu (2024), “Investigating the Effect of Sliding Window Length for EEG-based Anxiety Classification,” 2024 Asia Pacific Conference on Innovation in Technology (APCIT), 1-6, IEEE.
  98.  A. Kumar, A. Chakravarty, A. Choudhary and S. Indu (2024), “Camera-based Mobility Framework for Visually Impaired Pedestrians in Unstructured Environments,” 2024 IEEE Intelligent Vehicles Symposium (IV), 311-316, IEEE.
  99.  Shikha, D. Sethia and S. Indu (2023), “Ensemble Classifier for EEG-Based Stress Classification: An Empirical Study on Stacking Classifiers,” International Conference on Computational Electronics for Wireless …, Springer.
  100.  S. Jain, S. Indu and N. Goel (2023), “Comparative Analysis of YOLO Algorithms for Intelligent Traffic,” Proceedings on International Conference on Data Analytics and Computing …, Springer.
  101. D. Sharma, S. Indu and N. Jayanthi (2023), “A Review on Recent Encoder-Decoder Architectures for Drivable Region Detection and Segmentation,” 2023 5th International Conference on Energy, Power and Environment: Towards …, IEEE.
  102.  D. Sharma, S. Indu and N. Jayanthi (2023), “Lane-Line Segmentation Using YOLOv7,” 2023 2nd International Conference on Vision Towards Emerging Trends in …, IEEE.
  103.  M. Agarwal, S. Indu and N. Jayanthi (2023), “An Approach to the Classification of Ancient Indian Scripts Using the CNN Model,” International Conference on Women Researchers in Electronics and Computing …, Springer.
  104. A. Sharma, A. Verma, C. Shahra and S. Indu (2023), “Ancient Indian Script Transliteration Using GANs,” 2023 10th International Conference on Signal Processing and Integrated …, IEEE.
  105.  I. Prakash, S. Indu and M. Sreejeth (2023), “Image flare removal using Deep Convolutional Generative Adversarial Networks,” 2023 10th International Conference on Signal Processing and Integrated …, IEEE.
  106. B. Singh, S. Indu and S. Majumdar (2023), “Development Of A Classification Architecture For Images Represented Using Quantum Theory:* using IBM QISKIT Liberaries,” 2023 3rd International conference on Artificial Intelligence and Signal …, IEEE.
  107.  N. Sharma, C. Dhiman and S. Indu (2022), “Intelligent Pedestrian Intention Prediction Framework,” 2022 IEEE International Conference on Service Operations and Logistics, and …, IEEE.
  108.  S. Indu and R. Kumar (2022), “Detection of Road Potholes Using Deep Learning Based Improved YOLOv4 Network,” 2022 IEEE International Conference on Service Operations and Logistics, and …, IEEE.
  109.  P. Handa, N. Goel and S. Indu (2022), “Datasets of Wireless Capsule Endoscopy for AI-Enabled Techniques,” Computer Vision and Image Processing: 6th International Conference, CVIP …, Springer.
  110. P. Handa, N. Goel and S. Indu (2022), “Automatic intestinal content classification using transfer learning architectures,” 2022 IEEE International Conference on Electronics, Computing and …, IEEE.
  111.  G. G. Gebremariam, J. Panda and S. Indu (2022), “Secure Localization Techniques in Wireless Sensor Networks Against Routing Attacks Using Machine Learning Models,” International Conference on Soft Computing and Signal Processing, 587-596, Springer.
  112.  A. Jain and I. Sreedevi (2022), “An Improved Deep Neural Network for Multiclass Classification of Diabetic Foot Thermogram,” 2022 2nd International Conference on Intelligent Technologies (CONIT), 1-6,
  113.  R. Yadav, S. Indu and D. Gupta (2022), “Performance Analysis of Energy-Efficient Cluster-Based Routing Protocols with an Improved Bio-inspired Algorithm in WSNs,” International Conference on Data Analytics and Computing, 143-157, Springer.
  114.  S. Jain, S. Indu and N. Goel (2022), “Comparative Analysis of YOLO Algorithms for Intelligent Traffic Monitoring,” International Conference on Data Analytics and Computing, 159-168, Springer.
  115.  A. Jain and I. Sreedevi (2022), “An Enhanced Methodology for Diabetic Foot Thermogram Classification using Deep Learning,” 2022 International Conference on Machine Learning, Big Data, Cloud and …,
  116.  V. S. Sindhu, R. Dixit and I. Sreedevi (2022), “Pneumonia Detection Using Improved Convolutional Neural Network,” 2022 8th International Conference on Advanced Computing and Communication …, Springer.
  117.  N. Sharma, S. Indu and C. Dhiman (2022), “A Deep Unified Pedestrian Detection Framework,” 2022 IEEE Delhi Section Conference (DELCON), 1-6, IEEE.
  118.  V. S. Sindhu, Y. Sant, R. Malhotra and I. Sreedevi (2022), “The HWDI Dataset of Camera Captured Warped Hindi Text Document Images,” 2022 12th International Conference on Cloud Computing, Data Science …,
  119.  I. Tomar, S. Indu and N. Pandey (2022), “Traffic Signal Control Methods: Current Status, Challenges, and Emerging Trends,” Proceedings of Data Analytics and Management: ICDAM 2021, Volume 1, 151-163, Springer.
  120.  G. G. Gebremariam, J. Panda and S. Indu (2021), “Secure Intrusion Detection System for Hierarchically Distributed Wireless Sensor Networks,” 2021 International Conference on Industrial Electronics Research and …, IEEE.
  121.  R. Yadav, S. Indu and D. Gupta (2021), “Review of evolutionary algorithms for energy efficient and secure wireless sensor networks,” Cyber Security and Digital Forensics: Proceedings of ICCSDF 2021, 597-608, Springer.
  122.  A. Goswami, M. Sreejeth, R. Upadhyay and S. Indu (2021), “Brushless DC Motor Based E-Rickshaw Controller Design,” 2021 International Conference on Recent Trends on Electronics, Information …, IEEE.
  123.  M. Singh and S. Indu (2021), “BGR to HSV based Text Extraction from Manuscripts Using Slidebars,” 2021 Asian Conference on Innovation in Technology (ASIANCON), 1-6, IEEE.
  124.  Y. Agrawal, B. Jain, S. K. Mishra and S. Indu (2021), “Android Application for Vegetable and Fruit Classification,” 2021 International Conference on Intelligent Technologies (CONIT), 1-7, IEEE.
  125.  A. Raj, D. Arora, A. Chaurasia and S. Indu (2021), “Time Borrowing Flip-Flop architecture for error masking in near threshold voltage regime,” Journal of Physics: Conference Series 1917 (1), 012001, IOP Publishing.
  126.  N. Jayanthi, T. Sharma, V. Sharma, S. Tyagi and S. Indu (2021), “Classification of ancient inscription images on the basis of material of the inscriptions,” 2021 3rd International Conference on Signal Processing and Communication …, IEEE.
  127.  E. O. Omayio, I. Sreedevi and J. Panda (2021), “Word Spotting of Handwritten Hindi Scripts by Circular Histogram of Oriented Displacement (CHOD) Features,” 2021 4th Biennial International Conference on Nascent Technologies in …,
  128.  A. Singh, A. K. Sah, A. Singh, B. Jaint and S. Indu (2021), “Wormhole Attack Detection in Wireless Sensor Network Using SVM and Delay Per-hop Indication,” Data Engineering and Communication Technology: Proceedings of ICDECT 2020, 39-47, Springer.
  129.  T. Gupta, R. Jindal and S. Indu (2020), “Empirical Analysis of Thermography Effectiveness for Health Diagnosis,” 2020 International Conference on Computational Science and Computational …, IEEE.
  130. S. Kumar, S. Indu and G. S. Walia (2020), “Smartphone traffic analysis: a contemporary survey of the state-of-the-art,” Proceedings of the Sixth International Conference on Mathematics and …, Springer.
  131.  S. Anand and S. Indu (2020), “Voting Classification Method for Vehicle Number Plate Detection,” 2020 IEEE 17th India Council International Conference (INDICON), 1-6, IEEE.
  132.  S. Indu, S. Srivastava and V. Sharma (2020), “Optimal Camera Placement and Orientation of A Multi-camera System for Self Driving Cars,” Proceedings of the 2020 4th International Conference on Vision, Image and …, ACM.
  133.  M. Gupta, L. Bhargava and I. Sreedevi (2020), “Dynamic Voltage Frequency Scaling in Multi-core Systems using Adaptive Regression Model,” 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile …,
  134.  A. Kaur, A. Raj, N. Jayanthi and S. Indu (2020), “Inpainting of Irregular Holes in a Manuscript using UNet and Partial Convolution,” 2020 Second International Conference on Inventive Research in Computing …, IEEE.
  135.  P. Yadav, T. Porwal, V. Jha and S. Indu (2020), “Emerging low-cost air quality monitoring techniques for smart cities with UAV,” 2020 IEEE International Conference on Electronics, Computing and …, IEEE.
  136.  R. Singh, M. M. Hussain, M. Sahay, S. Indu, A. Kaushik and A. K. Singh (2020), “Loki: A Lightweight LWE Method with Rogue Bits for Quantum Security in IoT Devices,” International Conference on Information and Communication Technology for …, Springer.
  137.  S. Sharma, P. Fulzele and I. Sreedevi (2020), “Hybrid Model for Lung Nodule Segmentation based on Support Vector Machine and k-Nearest Neighbor,” 2020 Fourth International Conference on Computing Methodologies and …, Springer.
  138.  D. Nath, M. Singh, D. Sethia, D. Kalra and S. Indu (2020), “A Comparative Study of Subject-Dependent and Subject-Independent Strategies for EEG-Based Emotion Recognition using LSTM Network,” Proceedings of the 2020 the 4th International Conference on Compute and Data …, ACM.
  139.  D. Nath, M. Singh, D. Sethia, D. Kalra and S. Indu (2020), “An Efficient Approach to EEG-Based Emotion Recognition using LSTM Network,” 2020 16th IEEE International Colloquium on Signal Processing & Its …, IEEE.
  140.  M. D. S. Khan, P. Yadav, R. Verma and I. Sreedevi (2020), “FPGA Simulation of Fingertip Digit Recognition Using CNN,” 2020 7th International Conference on Signal Processing and Integrated …,
  141.  S. Anand and S. Indu (2020), “A Low Power and High Speed 8-bit ALU Design using 17T Full Adder,” 2020 7th International Conference on Signal Processing and Integrated …, IEEE.
  142.  A. Singhal and S. Indu (2020), “Enhancing Accuracy for Human Trajectory Forecasting in Crowded Scenes,” Proceedings of the 2020 3rd International Conference on Image and Graphics …, ACM.
  143.  M. Gupta, L. Bhargava and S. Indu (2020), “Artificial Neural Network based Task Scheduling for Heterogeneous Systems,” 2020 3rd International Conference on Emerging Technologies in Computer …, IEEE.
  144.  S. Khan and I. Sreedevi (2020), “Anomalous Object Tracking in Distributed Camera Network,” Conference of Open Innovations Association, FRUCT, 523-529,
  145.  Shashank and S. Indu (2019), “Sensitivity-Based Adaptive Activity Mapping for Optimal Camera Calibration,” International Conference on Intelligent Computing and Smart Communication …, Springer.
  146.  S. Jain¹ and I. Sreedevi (2019), “Robust Detection of Iris Region,” Computer Vision Applications: Third Workshop, WCVA 2018, Held in Conjunction …,
  147.  A. Aggarwal, N. Das and I. Sreedevi (2019), “Attention-guided deep convolutional neural networks for skin cancer classification,” 2019 Ninth International Conference on Image Processing Theory, Tools and …,
  148.  K. K. Sharma and S. Indu (2019), “GPS Based Adaptive Traffic Light Timings and Lane Scheduling,” 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 4267-4274, IEEE.
  149.  B. Jaint, S. Indu, N. Pandey and K. Pahwa (2019), “Malicious Node Detection in Wireless Sensor Networks Using Support Vector Machine,” 2019 3rd International Conference on Recent Developments in Control …, IEEE.
  150.  V. Rajput¹, N. Jayanthi and S. Indu (2019), “An Efficient Character Segmentation Algorithm for Connected Handwritten,” Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in …, Springer.
  151. S. Lal, S. Duggal and I. Sreedevi (2019), “Online Video Summarization: Predicting Future to Better Summarize Present,” 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 471-480, IEEE.
  152.  V. Rajput, N. Jayanthi and S. Indu (2019), “An Efficient Character Segmentation Algorithm for Connected Handwritten Documents,” Document Analysis and Recognition: 4th Workshop, DAR 2018, Held in …, Springer.
  153.  S. Jain and I. Sreedevi (2018), “Robust Detection of Iris Region Using an Adapted SSD Framework,” Workshop on Computer Vision Applications, 51-64,
  154.  B. Jaint, V. Singh, L. K. Tanwar, S. Indu and N. Pandey (2018), “An Efficient Weighted Trust Method for Malicious Node Detection in Clustered Wireless Sensor Networks,” 2018 2nd IEEE International Conference on Power Electronics, Intelligent …, IEEE.
  155.  S. Sharma, P. Fulzele and I. Sreedevi (2018), “Novel hybrid model for music genre classification based on support vector machine,” 2018 IEEE Symposium on Computer Applications & Industrial Electronics …, IEEE.
  156.  J. Sachdev, S. Shekhar and S. Indu (2018), “Melanoma Screening Using Deep Neural Networks,” 2018 3rd International Conference for Convergence in Technology (I2CT), 1-5, IEEE.
  157.  A. Kaushik, S. Indu and D. Gupta (2018), “Optimizing and enhancing the lifetime of a wireless sensor network using biogeography based optimization,” International Conference on Application of Computing and Communication …, Springer.
  158.  R. Sethi and S. Indu (2017), “Local Enhancement of SLIC Segmented Underwater Images using Gray World based Algorithm,” 2017 Ninth International Conference on Advances in Pattern Recognition …, IEEE.
  159.  D. Rathi, S. Jain and S. Indu (2017), “Underwater Fish Species Classification using Convolutional Neural Network and Deep Learning,” 2017 Ninth International Conference on Advances in Pattern Recognition …, IEEE.
  160.  S. Sharma, P. Aggarwal, A. N. Bhattacharyya and S. Indu (2017), “Classification of Indian Monuments into Architectural Styles,” National Conference on Computer Vision, Pattern Recognition, Image …,
  161.  F. Ahmad and S. Indu (2017), “Adversarial Optimization of Indoor Positioning System Using Differential Evolution,” International Conference on Pattern Recognition and Machine Intelligence …, Springer.
  162.  S. Dokania, A. Chopra, F. Ahmad, S. Indu and S. Chaudhury (2017), “Unsupervised Feature Descriptors Based Facial Tracking over Distributed Geospatial Subspaces,” International Conference on Pattern Recognition and Machine Intelligence …, Springer.
  163.  N. Jayanthi and S. Indu (2017), “Application of Gaussian as Edge Detector for Image Enhancement of Ancient Manuscripts,” IOP Conference Series: Materials Science and Engineering 225 (1), 012149, IOP Publishing.
  164. N. Jayanthi and S. Indu (2017), “Inscription Image Retrieval Using Bag of Visual Words,” IOP Conference Series: Materials Science and Engineering 225 (1), 012211, IOP Publishing.
  165.  B. Jaint, S. Arora, S. Saxena, C. Singh and S. Indu (2017), “Automatic dipper system using camera in vehicles,” 2017 IEEE Region 10 Symposium (TENSYMP), 1-5, IEEE.
  166. S. Hasija, M. J. Buragohain and S. Indu (2017), “Fish species classification using graph embedding discriminant analysis,” 2017 International Conference on Machine Vision and Information Technology …,
  167.  N. Jayanthi, S. Indu, S. Hasija and P. Tripathi (2017), “Digitization of ancient manuscripts and inscriptions-a review,” Advances in Computing and Data Sciences: First International Conference …, Springer.
  168.  R. Verma and I. Sreedevi (2016), “Robust pedestrian tracking using improved tracking-learning-detection algorithm,” Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …,
  169.  R. Teja and S. Indu (2016), “A priority based WSN clustering of multiple sink scenario using artificial bee colony algorithm,” 2016 International Conference on Computation System and Information …, IEEE.
  170.  O. P. Verma, R. Jindal, S. Indu and R. Malhotra (2016), “About: Delhi Technological University,” 2016 1st India International Conference on Information Processing (IICIP), 2-3, IEEE.
  171. N. Sharma, S. Indu, C. Sharma and P. Chugh (2016), “Optimized sentiment analysis tool: A sentiment analysis tool to study cognitive inclinations,” 2016 3rd International Conference on Computing for Sustainable Global …, IEEE.
  172.  P. C. Shivanka, S. Indu, A. Joshi, A. Singh and R. Rajpal (2016), “Performance of static sink in wireless sensor networks when implementing geographic routing,” 2016 3rd International Conference on Computing for Sustainable Global …, IEEE.
  173.  I. Mittal, A. Mittal and S. Indu (2016), “A novel approach to a camera based assisstive aid for visually impaired,” 2016 3rd International Conference on Recent Advances in Information …, IEEE.
  174.  N. Jayanthi, P. Tripathi, S. Indu and P. Gola (2016), “Novel method for manuscript and inscription text extraction,” 2016 3rd International Conference on Signal Processing and Integrated …, IEEE.
  175.  R. Sethi, I. Sreedevi, O. P. Verma and V. Jain (2015), “An optimal underwater image enhancement based on fuzzy gray world algorithm and bacterial foraging algorithm,” 2015 Fifth National Conference on Computer Vision, Pattern Recognition …,
  176.  S. M. Antony, S. S. R. Prasanthi, S. Indu and R. Pandey (2015), “Design of high speed Vedic multiplier using multiplexer based adder,” 2015 International Conference on Control Communication & Computing India …, IEEE.
  177.  S. V. Yamuna, N. Goel and S. Indu (2015), “Neuronal Logic gates realization using Vedic mathematics,” 2015 1st International Conference on Next Generation Computing Technologies …, IEEE.
  178.  A. Choudhary, S. Sharma, I. Sreedevi and S. Chaudhury (2015), “Real-time distributed multi-object tracking in a PTZ camera network,” International Conference on Pattern Recognition and Machine Intelligence …, Springer.
  179. S. Yamuna, N. Goel and S. Indu (2015), “High speed neuron implementation using Vedic Mathematics,” Accepted in CCEEDS IEEE conference, IEEE.
  180.  A. Saldhi, D. Yadav, D. Saksena, A. Goel, A. Saldhi and S. Indu (2014), “Big data analysis using Hadoop cluster,” 2014 IEEE International Conference on Computational Intelligence and …, IEEE.
  181.  N. Jayanthi, A. Tomar, A. Raj, S. Indu and S. Chaudhury (2014), “Digitization of historic inscription images using cumulants based simultaneous blind source extraction,” Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, ACM.
  182.  S. Indu, A. Tomar, A. Raj and S. Chaudhury (2014), “Enhancement and retrieval of historic inscription images,” Asian Conference on Computer Vision, 529-541, Springer.
  183.  R. Mishra, P. Kumar, S. Chaudhury and S. Indu (2013), “Monitoring a large surveillance space through distributed face matching,” 2013 fourth national conference on computer vision, pattern recognition …,
  184. S. Indu, V. Nair, S. Jain and S. Chaudhury (2013), “Video based adaptive road traffic signaling,” 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC), 1-6, IEEE.
  185. I. Sreedevi, R. Pandey, G. Bhola and S. Chaudhury (2013), “Enhancement of inscription images,” 2013 National Conference on Communications (NCC), 1-5,
  186.  A. Rudra, N. Pandey and S. Indu (2012), “Evolutionary algorithm based combinational circuit design,” 2012 IEEE 5th India International Conference on Power Electronics (IICPE), 1-4, IEEE.
  187. R. Garg, S. Indu and S. Chaudhury (2011), “Camera and Light Source Placement: A Multi-Objective Approach,” 2011 Third National Conference on Computer Vision, Pattern Recognition …,
  188. S. Indu, S. Arora, S. Chaudhury and A. Bhattacharyya (2010), “Road traffic model using distributed camera network,” Proceedings of the Seventh Indian Conference on Computer Vision, Graphics …, ACM.
  189. S. Arora and S. Indu (2009), “A Novel Time Decaying Approach to Obstacle Avoidance,” International Conference on Pattern Recognition and Machine Intelligence …, Springer.
  190. S. Indu, S. Chaudhury, N. R. Mittal and A. Bhattacharyya (2009), “Optimal sensor placement for surveillance of large spaces,” 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras …, IEEE.
  191.  S. Indu, S. Chaudhury, N. R. Mittal and A. Bhattacharyya (2008), “Optimal visual sensor placement using evolutionary algorithm,” National Conference on Computer Vision, Pattern Recognition, Image …,
  192.  Shikha, D. Sethia and S. Indu (n.d.), “Stress Classification: An Empirical Study on Stacking Classifiers,” Proceedings of Third International Conference on Computational Electronics …, MDPI.
  193. S. Indu and D. Gupta (n.d.), “Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization,” Venue not supplied, Springer.
  194. M. Singh and S. Indu (2023), “Denoising of palm leaf manuscripts using Gaussian filter and conservative smoothing,” ADVANCES IN MANUFACTURING TECHNOLOGIES AND APPLICATION OF ARTIFICIAL …, AIP Publishing.
  195. A. Garg, L. Tiwari, T. Juj, S. Indu and N. Jayanthi (2022), “Language and Era Prediction of Digitized Indian Manuscripts Using Convolutional Neural Networks,” Sentimental Analysis and Deep Learning, 703-718, Springer.

BOOKS/BOOK CHAPTERS (IF ANY)

            Books

  1.  S Indu, Asok Bhattacharyya, Santanu chaudhury "Smart Camera Networks: Design and Deployment, published by LAP LAMBERT Academic Publishing, Germany 2012  ISBN-10 : 3659246298 ISBN-13 : 978-3659246296
  2. J. Mukhopadhyay, I. Sreedevi, B. Chanda, S. Chaudhury and V. P. Namboodiri (2021),“Digital Techniques for Heritage Presentation and Preservation” ISBN: 978-3-030-57907-4 Published by Springer 2021

            Book Chapters

  1. E. O. Omayio, I. Sreedevi and J. Panda (2021), “Introduction to Heritages and Heritage Management: A Preview,” Digital Techniques for Heritage Presentation and Preservation, 3-10, Springer.
  2. A. Kumar, S. Bhowmick, N. Jayanthi and S. Indu (2021), “Improving Landmark Recognition Using Saliency Detection and Feature Classification,” Digital Techniques for Heritage Presentation and Preservation, 157-175, Springer.
  3. E. O. Omayio, I. Sreedevi and J. Panda (2021), “Language-Based Text Categorization: A Survey,” Digital Techniques for Heritage Presentation and Preservation, 11-36, Springer.
  4. A. Kaushik, S. Indu and D. Gupta (2019), “Nature-Inspired Algorithms in Wireless Sensor Networks,” Nature-Inspired Algorithms for Big Data Frameworks, 246-275, IGI Global.
  5. I. Sreedevi, J. Natarajan and S. Chaudhury (2018), “Processing of Historic Inscription Images,” Digital Hampi: Preserving Indian Cultural Heritage, 245-261, Springer.
  6. I. Sreedevi, N. R. Mittal, S. Chaudhury and A. Bhattacharyya (2011), “Camera placement for surveillance applications,” Video Surveillance, IntechOpen.
  7. A. Negi, S. Raj, S. Thapa and S. Indu (n.d.), “Field Programmable Gate Array (FPGA) Based IoT for Smart City Applications,” Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends …, Springer.

PATENTS (IF ANY)

Patent 1: "Real Time Monitoring And Train Control System For Metro Railways".

                Patent No. : 422345

               Application No. : 202111040644

               Granted on 7 September 2021

Patent 2: "Plc Based System For Emergency Vehicle Management And  Intelligent Traffic Control At Road Intersections".

               Patent No. : 485248

               Application No. : 202111044707

               Granted on 1 October 2021

Patent 3: "Motor Controller for light mobility vehicles in India".

              Patent No. : 544481

              Application No. : 202211051643

              Granted on 9 September 2022

             Technology Transfer Of The Patent "Motor Controller for light mobilityvehicles in India” has been done with Lithion Power Ltd

Patent 4: System And Method For Automated Cleanliness Assessment In Video Capsule Endoscopy (Vce) Frames

                Patent No. :581284

               Application No. : 202511003070

               Granted On 23/02/2026

 

Patent 5: "SYSTEM For Contextual Trajectory Prediction". 

              Patent No. : 592673

              Application No. : 2025110035135

              Granted on : 18/06/2026

 

HONOURS AND AWARDS (IF ANY)

Received the following Awards

  1. Best Branch Councillor award from IEEE USA 2014
  2. Outstanding Branch Councillor award for 5 consecutive years 2013-2017
  3. Recipient of annual Commendable Resesrch award since 2018
  4. Premium resrech award 2025
  5. Innovation award 2025
  6. Citation award 2024 and 2025

SPONSORED/CONSULTANCY PROJECTS

S.

No.

Client/Organisation's

{Name

Nature of project / Title of the Project

Duration of project

Amount of

grant (Rupees)

 

NRB

Grant in Aid Scheme

Surveillance Application DCE- NRB

3 years

(extended for one more year)

 

Rs. 1.2 Lakhs

 

DST

   Grant in Aid Scheme

Development of OGC standards based Sensor Network for Intelligent Traffic management

3 years

Rs. 2 Lakhs

 

 

DST

Through IIT

       Grant in Aid Scheme

Managing Intangible Cultural Assets through Ontological Interlinking

 

3 years

Rs. 300,000.00

 

 

DST

       Grant in Aid Scheme

Development of frame work for imaging, restoring and archiving inscription and manuscript

3 years

Extended for an year

Rs 25.9 Lakhs

 

MeiTY

   Grant in Aid Scheme

3 Phase, 48V, Brushless DC Motor Controller for e-Rickshaw

3 years

Rs. 40 Lakhs

 

IIIT Hyderabd

 

Grant in Aid Scheme

Drivable Area Detection for Unstructured Environments

 

1 year Extended for 6 months

Rs 7 Lakhs

 

IIT Jodhpur

Digitizing Manuscripts at the IGNCA for the Arts and Facilitating Online Access to Digitized Documents

 

1 Year

Rs 60,00,000/-

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

Faculty Advisor Team UAS DTU

Faculty Advisor of Tean UGV

ADVISEES

ANY OTHER INFORMATION