My Research Interests Include:

  • Signal Processing,
  • Data Analytics,
  • Machine Learning,
  • Speech/Image Recognition,
  • Audio/Video Processing,
  • Machine Vision,
  • Internet of Things,
  • Embedded Systems,
  • DSP Processors,
  • Linux System Programming,
  • Intelligent Transportation systems,
  • Sensor Placement,
  • Communication systems,
  • Information Hiding,
  • Data Security.

Sample Projects 


  • Linux-Based Embedded and IoT Devices Design and Implementation
  • IoT Management and Communication Protocol Development
  • Embedded Voice/Video Event Detection
  • Traffic Big Data Anomaly Detection and Prediction
  • Massive Data Analytics on Spark, Hadoop, …
  • Sensor Placement
  • Traffic Scene Analysis for Monitoring Cameras
  • Highly Accurate Embedded ANPR (Automatic Plate Number Recognition) Systems
  • Server-based ANPR and Dirty Plates Reading, Replacing Operators’ Check
  • Automatic Parking Management Systems
  • Abnormality Detection and Search in Visual Documents Using Topic Models
  • Embedded and Cloud based Traffic Incident Detection Systems
  • Vehicle Tracking for Traffic Violation Detection/Registration (Image Processing/Radar)
  • Traffic Scene Classification Traffic Density Estimation based on Monitoring Cameras
  • Video Summarization based on Activity Detection, Event Recognition and Segmentation
  • Internet of Things Design and Implementation
  • Embedded Machine Vision/Hearing Systems
  • IoT for Home Automation
  • AI for Energy Management and IoT
  • Embedded and Cloud-Based Voice/Video Event Detection Systems
  • Activity Detection using Mobile Phone Sensors
  • Object Recognition, Tracking and Classification for Machine Vision Applications
  • Telephony Speech Emotion Recognition
  • Hardened OS Design
  • Safe/Secure HW and SW
  • Watermarking for Document Authenticity
  • Secure Video Transmission
  • Steganography, Algorithm Design and Theoretical Aspects (Capacity, Pixel Cost, …)
  • Steganalysis Systems, Algorithm Design, Improvements and Implementation
  • Wireless Data Exchange for Intersection Traffic Control based on SCATS Signaling
  • Sound Source Localization (SSL)
  • Power Line Communication for Smart Grid, G3-PLC Simulation
  • HW and SW for Image Recognition, in Adverse Conditions
  • Very Low Bit Rate Speech Coding (600bps)
  • GPS Fleet Track Systems
  • Communication Systems Simularions

Publications

Journal Papers:

[1]  Mirzahossein H., Gholampour I., Sedghi M., Chiu Yi-C,How Realistic is Static Traffic Assignment? Analyzing Automatic Number-Plate Recognition Data and Image Processing of Real-Time Traffic Maps for Investigation, Part C: Emerging Technologies 2021.
[2] Gholampour I., Mirzahossein H., Chiu Yi-C, Traffic Pattern Detection using Topic Modelling for Speed Cameras based on Big Data Abstraction¸ Elsevier Transportation Research, Part C: Emerging Technologies, 2020. 
[3] Ahmadi P., Gholampour I. Employing Topical Relations in Semantic Analysis of Traffic Videos, IEEE Intelligent Systems, Volume: 34 , Issue: 1 , Jan.-Feb. 2019, Pages 3-13.
[4] Ahmadi P., Gholampour I., Efficient Analysis of Traffic Intersection Scenes by Employing Traffic Phase Information, IJEEE 2019, Volume: 15, Issue: 2: Pages: 203-210.
[5] Ahmadi P., Gholampour I., Tabandeh M., Cluster-based sparse topical coding for topic mining and document clustering, Springer Advances in Data Analysis and Classification, Volume: 12, Issue: 3, September 2018, Pages: 537–558.
[6] Ahmadi P., Gholampour I., Traffic Scene Analysis using Hierarchical Sparse Topical Coding, AUT International Journal of Electrical & Electronics Engineering, Volume: 50, Issue: 2, Summer and Autumn 2018, Pages 177-186.
[7] Panahi R., Gholampour I. Accurate Detection and Recognition of Dirty Vehicle Plate Numbers for High Speed Applications, IEEE, Trans. On Intelligent Transportation Systems, Volume: 18 , Issue: 4 , April 2017, Pages: 767 – 779.
[8] Ahmadi P., Tabandeh M., Gholampour I., Abnormal Event Detection and Localization in Traffic Videos Based on Improved Group Sparse Topical Coding, IET Image Processing, Volume: 10, Issue: 3, March 2016, Pages: 235-246.
[9] Gholampour I., Khosravi K., Steganographic Schemes with Multiple q-ary Changes per Block of Pixel, Elsevier, Journal of Signal Processing, Volume 108, March 2015, Pages 206–219.
[10] Mostagabi M., Gholampour I., A Robust Multilevel Segment Description for Multi-class Object Recognition, Springer Machine Vision and Applications, Jan 2015, Volume 26, Pages 15-30.
[11] Gholampour I., Khosravi K., Interpolation of Steganographic Schemes, Elsevier, Journal of Signal Processing, Volume 98, May 2014, Pages 23–36.
[12] Gholampour I., Nayebi K., A Novel HMM/ANN Hybrid Structure for Discriminative Training in Speech Recognition, Scientia, No. 3-4, p.p. 186-196, Nov. 2000.

[1] ارتباط احتمال کشف، ظرفیت و هزینه نهان¬نگاری با مدل سازی نهان کاو مجله پدافند الکترونیکی و سایبری ایمان غلامپور، روح الله امیری-چاپ 1397 

Conference Papers:
[1] Attari S., Rezaei A. Salmasizadeh M. Gholampour I., Finite State Machine Based Countermeasure for Cryptographic Algorithms, 14th International ISC Conference on Information Security and Cryptology (ISCISC), 2017.
[2] Ahmadi P., Gholampour I., A New 2-Stage Topic Model based Framework for Modeling Traffic Motion Patterns, MVIP 2017.
[3] Ahmadi P., Kaviani R., Gholampour I., Tabandeh M., Temporal segmentation of traffic videos based on traffic phase discovery, NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium, April 2016.
[4] Zohourian M., Heidari M., Ghaemmaghami, S., Gholampour I., Towards higher detection accuracy in blind steganalysis of JPEG images, 24th Iranian Conference on Electrical Engineering (ICEE), 2016.
[5] Ahmadi P., Kaviani R., Gholampour I., Tabandeh M., Clustering Improvement via Integrating with Sparse Topical Coding, IEEE Iranian Conference on Electrical Engineering, 2015.
[6] Ahmadi P., Kaviani R., Gholampour I., Tabandeh M., Modeling Traffic Motion Patterns via Non-Negative Matrix Factorization, IEEE International Conference on Signal and Image Processing Application 2015.
[7] Abasi Dinani M., Ahmadi M., Gholampour I., Efficient Feature Extraction for Highway Traffic Density Classification, IEEE Iranian Conference on Machine Vision and Image Processing, 2015.
[8] Ahmadi P., Tabandeh M., Gholampour I., Beyond Bag-of-Words: An Improved Sparse Topical Coding for Learning Motion Patterns in Traffic Scenes, 9th IEEE Iranian Conference on Machine Vision and Image Processing 2015.
[9] Kaviani R., Ahmadi P., Gholampour I., A New Method for Traffic Density Estimation based on Topic Models, IEEE Iranian Conference on Signal Processing and Intelligent Systems, 2015.
[10] Ahmadi P., Kaviani R., Gholampour I., Clustering Improvement via Integrating with Sparse Topical Coding, ICEE2015, 23rd Iranian Conference on Electrical Engineering, May 2015, Sharif University of Technology, Tehran, Iran.
[11] Kaviani R., Ahmadi P., Gholampour I., Automatic Accident Detection Using Topic Model, ICEE2015, 23rd Iranian Conference on Electrical Engineering, May 2015, Sharif University of Technology, Tehran, Iran.
[12] Ahmadi P., Korram, S., Jonaidi M., Gholampour I., Tabandeh M., Discovering Motion Patterns in Traffic Videos using Improved Group Sparse Topical Coding, 7th International Symposium 2014 on Telecommunications (IST2014), Tehran, Iran.
[13] Kaviani R., Ahmadi P., Gholampour I., Incorporating Fully Sparse Topic Models for Abnormality Detection in Traffic Videos, ICCKE 2014, Ferdowsi University, Mashhad, Iran.
[14] Panahi R., Gholampour I. Jamzad M., Real Time Occlusion Handling Using Kalman Filter and Mean-Shift, the 8th Iranian Conference on Machine Vision and Image Processing- University of Zanjan, Zanjan, Iran. March 2013.
[15] Zohourian M., Ghaemmaghami S., Gholampour I., Further Improvement of Universal Image Steganalysis Using Contourlet Transform, IEEE Tencon Conference, Nov. 2012, Philippines.
[16] Mostajabi M. Gholampour I., A Framework Based on the Affine Invariant Regions for Improving Unsupervised Image Segmentation, the 11th International Conference on Information Sciences, Signal Processing and their Applications: Main Tracks - Image & Vision Processing, July 2012, Montreal Canada.
[17] Esmaili S., Gholampour I., Reduced Memory Requirement in Hardware Implementation of SVM Classifiers, the 20th Iranian Conference on Electrical Engineering, March 2012, Tehran University, Tehran, Iran.
[18] Zarghi H., Sharifkhani M., GHolampour I., Implementation of a cost efficient SSL based on an Angular beamformer SRP-PHAT, the 18th IEEE Conference on Electronics, Circuits and Systems (ICECS), Dec 2011, AUB Beirut Lebanon.
[19] Ahani S., Ahmadi A., Gholampour I., Histogram Based Reflection Detection, the 7th Iranian Conference on Machine Vision and Image Processing (MVIP), Dec 2011, Science and Technology University, Tehran Iran.
[20] Gholampour I., Khalilian H., Ghaemmaghami, S., Steganalysis of Internet Data, a Feasibility Study, IEEE International Symposium on Computer Networks and Distributed Systems, CNDS2011, Feb 2011, Tarbiat Modares University, Tehran, Iran.
[21] Shadi, K., Lal Dehghani H., Gholampour I., Well-Conditioned Sensor Placement for Range-Only Localization, International Conference on , New Technologies Mobility and Security, NTMS'2011, Feb 2011, Paris, France.
[22] Sharifkhani M., Gholampoor I., Shoaei, O., A Compact DSP for Audio Codecs with Multi-Rate Programmable Filtering Enhancement, IEEE International Conference on Communications, Circuits and Systems and West Sino Expositions, Volume: 2 , June 29 - July 1, 2002 Page(s): 1515 –1520.
[23] Gholampour I., Nayebi K., A New Fast Algorithm for Automatic Segmentation of Continuous Speech, IEEE, International Conference on Spoken Language Processing, ICSLP98, Sydney, Australia, 1998.
[24] Gholampour I., Nayebi K., The Cascade HMM/ANN Hybrid: A New Framework for Discriminative Training in Speech Recognition, IEEE/EUROSIP International Workshop on Neural Net and Nonlinear Image Processing NSIP99, Antaliya, Turkey, 1999..
[25] Gholampour I., Nayebi K., High Performance Telephony Speech Recognition via the Cascade HMM/ANN Hybrid, IEEE, International Symposium on Speech, Signal Processing and Applications, ISSPA99, Brisbane, Australia, 1999.
[26] Gholampour I., Keshavarzi N., Nayebi K., Context Dependent Tree Design for Continuous Speech Recognition in Farsi, The Eighth Iranian Conference on Electrical Engineering (ICEE) 2000.
[27] Alavi B., Gholampour I., Nayebi K., Text Dependent Speaker Identification by HMMs, The Eighth Iranian Conference on Electrical Engineering (ICEE) 2000.
[28] Babai Zadeh S., Gholampour I., Nayebi K., Increasing the Recognition Rate in IWR Systems by Combining HMM and ANN, The Seventh Iranian Conference on Electrical Engineering (ICEE) 1998.
[29] Fozounbal M., Gholampour I., Nayebi K., Language Modeling in Countinuous Speech Recognition and a New Statistical Test Algorithm, The Seventh Iranian Conference on Electrical Engineering (ICEE) 1998.
[30] Fozounbal M., Gholampour I., Nayebi K., Design and Implementation of a Linguistic Decoder for Phoneme Based Continuous Speech Recognition in Farsi, The Sixth Iranian Conference on Electrical Engineering (ICEE) 1997.
[31] Gholampour I., Nayebi K., Automatic Designation of Phonetically Balanced Corpus For Training Farsi ASR Systems, The Sixth Iranian Conference on Electrical Engineering (ICEE) 1997.
[32] Gholampour I., Ghaemmaghami S., Tebiani M., Speaker Dependent Farsi Speech Recognition System Using Neural Networks, The Sixth Iranian Conference on Electrical Engineering (ICEE) 1997.
[33] Sheikhi A., Gholampour I., Nasiri M., Complete Computer Simulation of GSM Base Band Section, The Fifth Iranian Conference on Electrical Engineering (ICEE) 1996.

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