خسرو رضایی  خسرو رضایی  دانشکده فنی و مهندسی
 گروه مهندسی پزشکی  استادیار
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افتخارات و سوابق علمي

اخذ رتبه سوم در دوره کارشناسی
برگزيده شدن پروژه كارشناسي بعنوان پروژه مرتبط با صنعت در دانشگاه شهید منتظری در سال 1388.
کسب رتبه اول در دوره کارشناسی ارشد مهندسی پزشکی در دانشگاه حکیم سبزواری با معدل 34/18
کسب رتبه نخست 6 ترم تحصیلی از سال مهر 92 تا بهمن 94 در دانشگاه حکیم سبزواری در مقطع دکترای مهندسی پزشکی
پژوهشگر برتر دانشگاه حکیم سبزواری در مقطع دکترا در دانشگاه حکیم سبزواری در سال 1392.
دانشجوی نمونه کل دانشگاه حکیم سبزواری در سال 1393.
پژوهشگر برتر دانشگاه حکیم سبزواری در مقطع دکترا در دانشگاه حکیم سبزواری در سال 1394.
پژوهشگر برتر دانشکده فنی و مهندسی دانشگاه میبد در سال 1401
پژوهشگر برتر دانشگاه در زمینه چاپ بیشترین مقالات JCR در سال 1402
پژوهشگر برتر استانی در استان یزد در سال 1402
پژوهشگر برتر دانشگاه میبد در سال 1403
سرآمد پژوهشی دانشکده فنی و مهندسی در سال 1403

توسط : msabpekar | تاریخ : 1403/12/19 | نظرات

سوابق تدريس

دانشگاه حکیم سبزواری – دانشكده فني و مهندسی (دروس الکترونیک عمومی-پردازش تصاویر دیجیتالی).
دانشگاه آزاد اسلامي  واحد سبزوار (مقدمه‌ای بر مهندسی پزشکی-بیوانفورماتیک-اصول رادیولوژی)
دانشگاه فنی امام خمینی سبزوار (سیستم‌های کنترل خطی-مدارهای الکتریکی-الکترونیک عمومی)
دانشگاه فناوری‌های نوین سبزوار (الکترونیک 3-پردازش تصویر-الکترونیک دیجیتال-مدارهای الکتریکی-تجزیه و تحلیل سیگنال‌ها و سیستم‌ها)
دانشگاه میبد-یزد (مقدمه¬ای بر مهندسی پزشکی- فناوری اطلاعات پزشکی-الکترونیک-مدارهای الکتریکی-کنترل خطی-پدیده¬های بیوالکتریک-اصول توانبخشی)

توسط : msabpekar | تاریخ : 1403/12/19 | نظرات

سوابق علمی- اجرايي

کارشناس تجهیزات پزشکی - بیمارستان شهید واسعی سبزوار - سبزوار
عضو مرکز توسعه و تعالی دانشگاه فناوری های نوین سبزوار - دانشگاه فناوری های نوین سبزوار - سبزوار
عضو تیم اجرای طرح های سازندگی دانشگاه حکیم سبزواری - دانشگاه حکیم سبزواری - سبزوار
مسئول توریسم سلامت بین الملل  - بیمارستان رضوی مشهد - مشهد
مسئول توریسم سلامت بین الملل  - بیمارستان واسعی سبزوار - سبزوار
عضو شورای پژوهشی دانشگاه میبد - دانشگاه میبد میبد - یزد
عضو شورای نظارت ارزیابی تضمین کیفیت - دانشگاه میبد - میبد - یزد
مدیر دانشجویی دانشگاه میبد - دانشگاه میبد - میبد - یزد
عضو هیئت اندیشه ورز هوش مصنوعی در بنیاد نخبگان استان یزد - بنیاد نخبگان استان یزد - یزد
عضو کمیته اخلاق در پژوهش دانشگاه میبد - دانشگاه میبد - میبد
معاون دانشکده فنی و مهندسی دانشگاه میبد - دانشگاه میبد - میبد

توسط : msabpekar | تاریخ : 1403/12/19 | نظرات
پردازش سيگنال‌هاي بیولوژیکی و هوش مصنوعی.
شناسايي الگو و پردازش تصاوير ديجيتال.
مهندسی پزشکی و بیوانفورماتیک.
الگوریتم‌های تکاملی و بهینه سازی
شبكه هاي عصبي مصنوعي و كاربرد آنها.
سيستمهاي فازي و كاربرد آنها.
یادگیری عمیق، شبکه‌های انتقالی عمیق

عضويت در مجامع علمي

عضو انجمن علمي بينايي ماشين ايران.
عضو انجمن علمي IEEE شاخه ایران.
عضو انجمن علمي ICT ایران.
دبیر اجرایی در ششمین کنگره مهندسی برق و کامپیوتر با نگاه کابردی بر انرژی های نو
عضو کمیته علمی و داوری هشتمین کنگره ملی تازه های مهندسی برق و کامپیوتر
عضو کمیته علمی و داوری هفتمین کنگره ملی تازه های مهندسی برق و کامپیوتر
عضو کمیته علمی کنفرانس ملی مهندسی برق و مکاترونیک
داور بیش از 30 ژورنال کیو 2 و کیو 2 در پابلیشرهای السویر، اشپرینگر، وایلی، آی تری پلی ترانزاکشن، هینداوی و داور 5 ژورنال داخلی با رتبه علمی و پژوهشی در زمینه های مهندسی پزشکی
ادیتور مهمان در چهار نسخه ویژه در پابلیشرهای هینداوی و اشپرینگر

توسط : msabpekar | تاریخ : 1403/12/19 | نظرات

تالیفات علمی

• S Hamzehei, O Akbarzadeh, H Attar, K Rezaee, N Fasihihour, Predicting the total Unified Parkinson’s Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update Journal of Cloud Computing 12 (1), 1-16, 2023.

• MH Alghanim, HH Attar, K Rezaee, AAA Solyman, Medical diagnosis decision-making framework on the internet of medical things platform using hybrid learning, Wireless Networks, 1-13, 2023.

• S Tabatabaei, K Rezaee, M Zhu, Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system, Biomedical Signal Processing and Control 86, 105119, 2023.

• Y Xie, Q Zhang, K Rezaee, Y Xu, Mobile computing-enabled health physique evaluation in campus based on amplified hashing, Journal of Cloud Computing 12 (1), 102, 2023.

• SS Masoomkhah, K Rezaee, M Ansari, H Eslami, Deep Learning in Drug Design—Progress, Methods, and Challenges, Frontiers in Biomedical Technologies, 2023.

• K Rezaee, MR Khosravi, H Attar, VG Menon, MA Khan, H Issa, L Qi, IoMT-Assisted Medical Vehicle Routing Based on UAV-Borne Human Crowd Sensing and Deep Learning in Smart Cities, IEEE Internet of Things Journal, 2023.

• M Khazaee Fadafen, K Rezaee, Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework, Scientific Reports 13 (1), 8823, 2023.

• S Rezaei, H Ghayoumi Zadeh, MH Gholizadeh, A Fayazi, K Rezaee, Modeling and Predicting the Survival of Breast Cancer Patients via Deep Neural Networks and Bayesian Algorithm, Iranian Journal of Medical Physics, 2023.

• M Jabari, K Rezaee, M Zakeri, Fusing handcrafted and deep features for multi-class cardiac diagnostic decision support model based on heart sound signals, Journal of Ambient Intelligence and Humanized Computing 14 (3), 2873-2885, 2023.

• MR Khosravi, K Rezaee, MK Moghimi, S Wan, VG Menon, Crowd emotion prediction for human-vehicle interaction through modified transfer learning and fuzzy logic ranking, IEEE Transactions on Intelligent Transportation Systems, 2023.

• A Badiei, S Meshgini, K Rezaee, A novel approach for sleep arousal disorder detection based on the interaction of physiological signals and metaheuristic learning, Computational Intelligence and Neuroscience 2023.

• K Rezaee, H Ghayoumi Zadeh, L Qi, H Rabiee, MR Khosravi, Can you Understand why I am Crying? A Decision-making System for Classifying Infants' Cry Languages Based on deepSVM Model, ACM Transactions on Asian and Low-Resource Language Information Processing, 2023.

• H Ghayoumi Zadeh, A Fayazi, O Rahmani Seryasat, K. Rezaee, H Rabiee, A Bidirectional Long Short-Term Neural Network Model to Predict Air Pollutant Concentrations: A Case Study of Tehran, Iran, Transactions on Machine Intelligence 5 (2), 63-76, 2023.

• AM Dolatabadi, MS Pour, K Rezaee, SSM Ajarostaghi, Applying machine learning for optimization of dehumidification strategy on the modified model for the non-equilibrium condensation in steam turbines, Engineering Analysis with Boundary Elements 145, 13-24, 2022.

• E Khalili Pour, K Rezaee, H Azimi, SM Mirshahvalad, B Jafari, K Fadakar, and et al., Automated machine learning–based classification of proliferative and non-proliferative diabetic retinopathy using optical coherence tomography angiography vascular density maps, Graefe's Archive for Clinical and Experimental Ophthalmology, 1-9, 2022.

• K Rezaee, MR Khosravi, M Jabari, S Hesari, MS Anari, F Aghaei, Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals, International Journal of Intelligent Systems, 2022.

• Y Liu, H Wu, K Rezaee, MR Khosravi, OI Khalaf, AA Khan, D Ramesh, and et al., Interaction-Enhanced and Time-Aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Travelling Enterprises, IEEE Transactions on Industrial Informatics, 2022.

• K Rezaee, MR Khosravi, MS Anari, Deep-Transfer-Learning-Based Abnormal Behavior Recognition Using Internet of Drones for Crowded Scenes, IEEE Internet of Things Magazine 5 (2), 41-44, 2022.

• K Rezaee, MKN Ahmadi, MS Anari, Interactive Medical Image Segmentation using Active Contour with Improved F Energy in Level-Set Tuning, Majlesi Journal of Electrical Engineering 16 (2), 21-30, 2022.

• K Rezaee, MR Khosravi, N Neshat, MK Moghimi, Deep transfer learning-based fall detection approach using IoMT-enabled thermal imaging-assisted pervasive surveillance and big health data, Journal of Circuits, Systems and Computers, 2022.

• K Rezaee, X Yang, MR Khosravi, R Zhang, W Lin, G Jeon, Fusion-based learning for stress recognition in smart home: an IoMT framework, Building and Environment 216, 108988, 2022.

• K Rezaee, HG Zadeh, C Chakraborty, MR Khosravi, G Jeon, Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning, IEEE Transactions on Industrial Informatics, 2022.

• K Rezaee, G Jeon, MR Khosravi, HH Attar, A Sabzevari, Deep learning‐based microarray cancer classification and ensemble gene selection approach, IET Systems Biology 16 (3-4), 120-131, 2022.

• MS Anari, K Rezaee, A Ahmadi, TraitLWNet: a novel predictor of personality trait by analyzing Persian handwriting based on lightweight deep convolutional neural network, Multimedia Tools and Applications 81 (8), 10673-10693.

• K Rezaee, S Zolfaghari, A direct classification approach to recognize stress levels in virtual reality therapy for patients with multiple sclerosis, Computational Intelligence 38 (1), 249-268, 2022.

• N Jafarzadeh, A Jalili, JA Alzubi, K Rezaee, Y Liu, M Gheisari, A novel buffering fault‐tolerance approach for network on chip (NoC), IET Circuits, Devices & Systems, 2022.

• K Rezaee, S Savarkar, X Yu, J Zhang, A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals Biomedical Signal Processing and Control 71, 103161, 2022.

• K Rezaee., Badiei, A., Ghayoumi Zadeh, H., & Meshgini, S., A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images, AUT Journal of Electrical Engineering, 53(2), 8-8, (Best paper award)

• H Ghayoumi Zadeh, A Fayazi, K Rezaee, MH Gholizadeh, M Eskandari, Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network, Journal of Health and Biomedical Informatics 8 (3), 315-325, 2021.

• K Rezaee, SJ Mousavirad, MR Khosravi, MK Moghimi, M Heidari, An autonomous UAV-assisted distance-aware crowd sensing platform using deep ShuffleNet transfer learning, IEEE Transactions on Intelligent Transportation Systems, 2021.

• K Rezaee, F Ghaderi, F Naghavi, Multilevel pain recognition to analyze infant crying sound using fractal dimension features and logistic regression with a maximum likelihood classifier, Journal of Acoustical Engineering Society of Iran 9 (1), 78-90, 2021.

• N Neshat, S Moayedfar, K Rezaee, N Amrollahi Biuki, Sustainable planning of developing tourism destinations after COVID-19 outbreak: A deep learning approach, Journal of Policy Research in Tourism, Leisure and Events, 1-21, 2021.

• N Tavasoli, K Rezaee, M Momenzadeh, M Sehhati, An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning, Journal of Computational Design and Engineering 8 (4), 1172-1189, 2021.

• K Rezaee, SM Rezakhani, MR Khosravi, MK Moghimi, A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance, Personal and Ubiquitous Computing, 1-17, 2021.

• K Rezaee, F Ghaderi, H Taheri Gorji, J Haddadnia, Hand Gesture and Movement Recognition based on Electromyogram Signals using Soft Ensembling Feature Selection and Optimized Classifier, Iranian Journal of Biomedical Engineering 14 (3), 195-208, 2021.

• K Rezaee, A Rezaee, N Shaikhi, J Haddadnia, Multi-mass breast cancer classification based on hybrid descriptors and memetic meta-heuristic learning, SN Applied Sciences 2 (7), 1-19

• A Rezaee, K Rezaee, J Haddadnia, HT Gorji, Supervised meta-heuristic extreme learning machine for multiple sclerosis detection based on multiple feature descriptors in MR images, SN Applied Sciences 2 (5), 1-19, 2021.

• A Entezari, F Mayvaneh, K REZAEI, F Rahimi, An adaptive estimation method to predict thermal comfort indices man using classification based in the deep belief network, JOURNAL OF GEOGRAPHICAL SCIENCES 18 (51), 23-40, 2019.

• K Rezaee, J Haddadnia, A Tashk, Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization, Applied Soft Computing 52, 937-951, 2017.

• K Rezaee, E Azizi, J Haddadnia, Optimized seizure detection algorithm: a fast approach for onset of epileptic in EEG signals using GT discriminant analysis and K-NN classifier, Journal of biomedical physics & engineering 6 (2), 81.

• K Rezaee, J Haddadnia, A Delbari, Modeling abnormal walking of the elderly to predict risk of the falls using Kalman filter and motion estimation approach, Computers & Electrical Engineering 46, 471-486, 2015.

• K Rezaee, J Haddadnia, Designing an Accurate and Fast Algorithm to Extract the Retinal Vessels Using Adaptive Filters and Thresholding Based on Entropy Fuzzy, Bina Journal of Ophthalmology 19 (4), 352-363, 2014.

• K Rezaee, J Haddadnia, Design of fall detection system: a dynamic pattern approach with fuzzy logic and motion estimation, Information Systems & Telecommunication 3 (7), 181, 2014

• K Rezaee, J Haddadnia, Intelligent and Online Evaluation of Diabetes using Wireless Sensor Networks and Support Vector Machines Algorithm, Iranian Journal of Diabetes and Obesity 6 (2), 56-66, 2014.

• K Rezaee, J Haddadnia, M Rasegh Ghezelbash, A novel algorithm for accurate diagnosis of hepatitis B and its severity, International Journal of Hospital Research 3 (1), 1-10, 2014.

• K Rezaee, J Haddadnia, A Delbari, Elderly fall monitoring system based on Gaussian mixture models and anatomical changes in video sequences, Journal of Machine Vision and Image Processing 1 (2), 67-77., 2014.

• K Rezaee, J Haddadnia, A Delbari, M Madanian, Predicting and monitoring of the elderly falls based on modeling of the motion patterns obtained from video sequences, Iranian Journal of Ageing 8 (4), 15-23, 2013.

• K Rezaee, J Haddadnia, Design and performance evaluation of intelligent system to segregate and classify the phonocardiograph abnormalities using matched filter and multilayer perceptron-back, Pajoohandeh Journal 18 (5), 277-286, 2013.

• K Rezaee, J Haddadnia, Designing an algorithm for cancerous tissue segmentation using adaptive k-means cluttering and discrete wavelet transform, Journal of Biomedical Physics & Engineering 3 (3), 93, 2013.

• K Rezaee, J Haddadnia, A Delbari, Automatic Extraction of Edge Topography in Medical Images Using Ant Colony Optimization Algorithm and Image Processing Techniques, Journal of Soft Computing and Information Technology 2 (1), 34-41,  2013.

• K Rezaee, E Azizi, J Haddania, A Delbari, Intelligent Monitoring System of Elderly’s Fall Based on Video Sequences‖, Middle-East Journal of Scientific Research 15 (8), 1178-1185, 2013.

• J Hadadnia, K Rezaee, Extraction and 3D segmentation of tumors-based unsupervised clustering techniques in medical images, Iranian Journal of Medical Physics 10 (2), 95-108, 2013.

• K Rezaee, SJ Mousavirad, M RaseghGhezelbash, J Haddadnia, Accurate Fire Detection System for Various Environments using Gaussian Mixture Model and HSV Space, JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 1 (1), 55-62, 2013.

• K Rezaee, SR Alavi, H Khavari, G Mohammadi, J Haddania, New Intelligent System Designed to Detect Breast Cancer Tumors Using Image Processing Techniques and Topography Contour Methods, Majlesi Journal of Electrical Engineering 6 (2), 2012.

• SJ MousaviRad, K Rezaee, K Nasri, A new method for identification of Iranian rice kernel varieties using optimal morphological features and an ensemble classifier by image processing, Majlesi Journal of Multimedia Processing 1 (3), 2012.

• K Rezaee, E Azizi, MR Ghezelbash, M Madanian, J Haddania, A novel intelligent system to accurately segmentation of brain tumors in MR images by using image processing and discrete wavelet transform, Majlesi Journal of Multimedia Processing 1 (4), 2012.


تالیفات علمی (شامل مقالات همایشی، کنگره و کنفرانسی)
• K Rezaee, MR Khosravi, L Qi, M Abbasi, SkinNet: A Hybrid Convolutional Learning Approach and Transformer Module Through Bi-directional Feature Fusion, 2022 International Conference on Computing, Communication, Security, IEEE.

• K Rezaee, A Badiei, S Meshgini, A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images, 2020 27th national and 5th international Iranian conference on biomedical, 2020, IEEE, (Best paper award)

• K Rezaee, J Haddadnia, A Delbari, Intelligent detection of the falls in the elderly using fuzzy inference system and video-based motion estimation method, 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), IEEE, 2014.

• K Rezaee, SR Alavi, M Madanian, MR Ghezelbash, H Khavari, Real-time intelligent alarm system of driver fatigue based on video sequences, 2013 First RSI/ISM International Conference on Robotics and Mechatronics. , (Best paper award)

• K Rezaee, MR Ghezelbash, J Haddadnia, A Delbari, An intelligent surveillance system for falling elderly detection based on video sequences, 19th Iranian Conference of Biomedical Engineering (ICBME), Tehran, Iran, 20-21.

• G Mohammadi, K Rezaee, M Hajimani, N Masoomi, M Karimi, A Novel Intelligent system for Exact Positioning of Breast Cancer Tumors using Contourlet and Image Processing, Conference IKT2012.

تالیفات علمی (شامل فصول کتاب)
• K Rezaee, M SaberiAnari, MR Khosravi, A Wavelet-Based Robust Medical Image Watermarking Technique Using Whale Optimization Algorithm for Data Exchange Through Internet of Medical Things, Intelligent Healthcare, 373-394, 2022.

• K Rezaee, MR Khosravi, MK Moghimi, Intelligent Elderly People Fall Detection Based on Modified Deep Learning Deep Transfer Learning and IoT Using Thermal Imaging-Assisted Pervasive Surveillance, Intelligent Healthcare, 113-132, 2022.

توسط : msabpekar | تاریخ : 1403/12/19 | نظرات