Kaveh Bakhtiyari

Data Scientist | AI

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Job Experiences

Education

Honors, Awards & Grants

  • 2015 - 2017
    DAAD Research Grants – Scholarship

    Bonn, Germany

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    Scholarship in the program “Research Grants - Bi-nationally Supervised Doctoral Degrees, 2015/16” for doing the double-degree joint doctoral program between The National University of Malaysia (UKM) and University of Duisburg-Essen, Germany. More info...
  • July 2014
    Samsung Gear App Challenge

    Seoul, South Korea

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    Runner-up in the Samsung Gear (Smart Watch) App Challenge based on Tizen OS for Wearables. My Puzzle, Mobile Shield & Gear Dictionary were nominated in the top 200 Apps in Round 1. More info...
  • 2013 - 2014
    Award of Excellence - Computer & Technical Advisor

    Kuala Lumpur, Malaysia

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    Iranian Students Association at Universiti Kebangsaan Malaysia (ISAUKM)
    Awarded due to the Computer and Technical Advising at ISAUKM during the 8th year of the association.
  • 2013 - 2015
    UKM Research Fellowship

    Kuala Lumpur, Malaysia

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    Faculty of Engineering and Built Environment, The National University of Malaysia (UKM)
    Scholarship Conducted by Centre for Graduate Management (PPS) until Aug. 2014. Since Sep. 2014 by Research & Innovation Center (CRIM), UKM
  • 2010
    RoboSoccer Small Size Competition

    Kuala Lumpur, Malaysia

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    Faculty of Technology & Information Sciences, The National University of Malaysia
    Team Name: Zeus
    1st Round Ranking: 1st
    Final Round Ranking: 4th
  • 2008, 06, 05
    Distinguished Researcher at Islamic Azad University, Tafresh

    Tafresh, Iran

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    Awarded as the top research student at Islamic Azad University, Tafresh during my bachelor studies for 3 years of 2005, 2006 & 2008.
    These awards were due to the student research activities and publications.
  • 2007
    Distinguished Researcher at Islamic Azad University, Iran

    Karaj, Iran

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    3rd Festival of the Distinguished Researchers in Islamic Azad University, Karaj.
    Awarded as a top research student among all branches of Islamic Azad University in Iran during my bachelor studies in 2007.
    The ceremony was conducted in Islamic Azad University, Karaj by IAU Chancellor.
    This award was due to the student research activities and publications.

General


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Languages

Societies

Lived Countries

Visited Countries

Hours of International Flights

Academic Collaboration


h-Index

Co-authors

Institutes

Countries

Hobbies


Collecting Coins

Horse Riding

Hiking

Ice Skating

Traveling

Photography

Swimming

Playing Guitar

Research Collaboration

Assoc. Prof. Dr. Hafizah Husain

The National University of Malaysia (UKM)

Profile

Prof. Dr-Ing. Jürgen Ziegler

University of Duisburg-Essen, Germany

Profile

Mona Taghavi

PhD Candidate at Concordia University, Canada

Website

Dr. Ehsan Golkar

Post-Doc at University of Strasbourg, France

Website

Dr. Arya Ahmadi-Ardakani

PhD. Electrical Engineering at UCLA, USA

Dr. Masoud Shakiba

Manukau Institute of Technology, New Zealand

Website

Great Research Group!

I enjoy a great professional collaboration with researchers across the world. We have a very professional, friendly, sympathetic and enthusiastic research members in a variety of research domains, countries and business or academic positions. We also welcome whoever is willing to share and promote the knowledge by joining our research group.

Research Projects

  • 2017 24 May

    KinRes: Depth Sensor Noise Reduction in Contactless Respiratory Monitoring

    Telefonica Tower, Barcelona, Spain

    The 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)
    More info... | A4 Poster (pdf - 766 KB)

  • 2017 19 May

    Contactless Heart Rate Variability Measurement by IR and 3D Depth Sensors with Respiratory Sinus Arrhythmia

    Vila Gale Santa Cruz Hotel, Madeira, Portugal

    The 8th International Conference on Ambient Systems, Networks and Technologies (ANT)
    More info... | Presentation Slides (pdf - 1.03 MB)

  • 2017 4 Apr.

    The Effect of Presentation in Online Advertising on Perceived Intrusiveness and Annoyance in Different Emotional States

    Arrowle Hotel, Kanazawa, Japan

    The 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS)
    More info... | Presentation Slides (pdf - 529 KB)

  • 2016 11 Jan.

    Recommender Systems in Future Intelligence

    University of Concordia, Montréal, QC, Canada

    Institute of Information System Engineering
    Organized by Assoc. Prof. Dr. Jamal Bentahar & Assoc. Prof. Dr. Jia Yuan Yu
    More info... | Presentation Slides (pdf - 1.51 MB)

  • 2014 10 Oct.

    Emotional Intelligence in Adaptive Recommender Systems

    University of Duisburg–Essen, Duisburg, Germany

    Interactive Systems, Faculty of Engineering
    Organized by Prof. Dr-Ing. Jürgen Ziegler

  • 2013 19 Nov.

    Emotional and Cultural Intelligence in Recommender Systems

    Puri Pujangga, UKM, Malaysia

    The International Conference on Engineering and Built Environment (ICEBE)
    More info...

  • 2013 22 Aug.

    Cultural & Emotional Intelligence in Adaptive Recommender Systems

    Hotel Equatorial Bangi, Malaysia

    The Annual Seminar of DSP Research Group, Faculty of Engineering, The National University of Malaysia (UKM)
    Presentation Slides (pdf - 516 KB)

  • 2013 30 Mar.

    Workshop on Social Engineering: The art of human hacking

    Swiss Garden Hotel, Cherating Beach, Kuantan, Malaysia

    Organized by Iranian Students' Association at UKM (ISAUKM)
    Language: Persian / Farsi

  • 2011 2 Nov.

    Human Emotions Recognition in HCI

    University of Duisburg – Essen, Duisburg, Germany

    Department of Psychology-Media and Communication, Faculty of Engineering
    Organized by Prof. Dr. Nicole Krämer

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Relationship of Google Scholar Versions and Paper Citations

Marjan Mohammadjafari, Hadi Salehi, Kaveh Bakhtiyari, Nader Ale Ebrahim, Mahmoud Danaee, Masoud Shakiba, Masoomeh Shahbazi-Moghadam, Azam Zavvari
Note Preprints, Jun. 2017

Abstract

The number of citations that a paper has received is the most commonly used indicator to measure the quality of research. Researchers, journals, and universities want to receive more citations for their scholarly publications to increase their h-index, impact factor, and ranking respectively. In this paper, we tried to analyses the effect of the number of available Google Scholar versions of a paper on citations count. We analyzed 10,162 papers which are published in Scopus database in year 2010 by Malaysian top five universities. Then we developed a software to collect the number of citations and versions of each paper from Google Scholar automatically. The result of spearman correlation coefficient revealed that there is positive significant association between the number of Google Scholar versions of a paper and the number of times a paper has been cited.

KinRes: Depth Sensor Noise Reduction in Contactless Respiratory Monitoring

Kaveh Bakhtiyari, Jürgen Ziegler, Hafizah Husain
Conference The 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Barcelona, Spain, 23-26 May 2017
ACM, ISBN 978-1-4503-6363-1/17/05

Abstract

This paper proposes a novel reliable solution, named KinRes, to extract contactless respiratory signal via an IR-3D Depth sensor (Microsoft Kinect 2) on human subjects interacting with a computer. The depth sensor is very sensitive to the minor changes so that the body movements impose noise in the depth values. Previous studies on contactless respiratory concentrated solely on the still laid subjects on a surface to minimize the possible artifacts. To overcome these limitations, we low-pass filter the extracted signal. Then, a greedy self-correction algorithm is developed to correct the false detected peaks & troughs. The processed signal is validated with a simultaneous signal from a respiratory belt. This framework improved the accuracy of the signal by 24% for the subjects in a normal sitting position.

New Insights Towards Developing Recommender Systems

Mona Taghavi, Jamal Bentahar, Kaveh Bakhtiyari, Chihab Hanachi
Journal The Computer Journal, 2017
Oxford University Press, ISSN 0010-4620, Pages 1-30

Abstract

Promoting recommender systems in real-world applications requires deep investigations with emphasis on their next generation. This survey offers a comprehensive and systematic review on recommender system development lifecycles to enlighten researchers and practitioners. The paper conducts statistical research on published recommender systems indexed by Web of Science to get an overview of the state of the art. Based on the reviewed findings, we introduce taxonomies driven by the following five phases: initiation (architecture and data acquisition techniques), design (design types and techniques), development (implementation methods and algorithms), evaluation (metrics and measurement techniques) and application (domains of applications). A layered framework of recommender systems containing market strategy, data, recommender core, interaction, security and evaluation is proposed. Based on the framework, the existing advanced humanized techniques emerged from computational intelligence and some inspiring insights from computational economics and machine learning are provided for researchers to expand the novel aspects of recommender systems.

Contactless Heart Rate Variability Measurement by IR and 3D Depth Sensors with Respiratory Sinus Arrhythmia

Kaveh Bakhtiyari, Nils Beckmann, Jürgen Ziegler
Conference The 8th International Conference on Ambient Systems, Networks and Technologies (ANT), Madeira, Portugal, 16-19 May 2017
Procedia Computer Science, Elsevier, ISSN 1877-0509, Volume 109, Pages 498-505

Abstract

Heart rate variability (HRV) is known to be correlated with emotional arousal, cognitive depletion, and health status. Despite the accurate HRV detection by various body-attached sensors, a contactless method is desirable for the HCI purposes. In this research, we propose a non-invasive contactless HRV measurement by Microsoft Kinect 2 sensor with Respiratory Sinus Arrhythmia (RSA) correction. The Infrared and RGB cameras are used to measure the heart rate signal, and its 3D Depth sensor is employed to capture the human respiratory signal to correct the initially calculated HRV with RSA. The correlation analysis among the calculated HRVs by different methods and devices showed a significant improvement in reliable HRV measurements. This study enlightens the researchers and developers to choose a proper method for HRV calculations based on their required accuracy and application.

The Effect of Presentation in Online Advertising on Perceived Intrusiveness and Annoyance in Different Emotional States

Kaveh Bakhtiyari, Jürgen Ziegler, Hafizah Husain
Conference The 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Kanazawa, Japan, 3-5 Apr. 2017
Lecture Notes in Computer Science (LNCS), Springer, ISBN 978-3-319-54472-4, Part I, Volume 10191, Pages 140-149

Abstract

Online advertising is a rapidly growing area with high commercial relevance. This paper investigates the effect of different types of ad presentation, varying in frame size, position and animation level on visual intrusiveness and annoyance as perceived by users. Furthermore, we investigate the influence of users’ emotional states on perceived intrusiveness and annoyance. This research has been carried out through a survey study. The analysis of the data shows a linear correlation between the visual attention of the ads and its features. Also, a positive influence of emotion has been found on various types of ad presentations. In addition, the participants with emotions of positive valence and low arousal showed more tolerance to the same ad as the users with a different emotional state. This research proposes a new aspect in computational advertising to adapt the recommendations based on the user’s emotional state and the parameters of the online advertisements.

A Comprehensive Comparison of Educational Growth within Four Different Developing Countries between 1990 and 2012

Masoud Shakiba, Nader Ale Ebrahim, Mahmoud Danaee, Kaveh Bakhtiyari, Elankovan Sundararajan
Journal Revista de Gestão e Secretariado, Apr. 2016
e-ISSN 2178-9010, Volume 6, Issue 3, Pages 152-174

Abstract

Educational growth is a fundamental infrastructure factor required to achieve sustainable development. Therefore, evaluation and measurement of educational growth is essential for establishing a development road map. Because of this, there are many organizations and databases that work to capture academic trends and provide the general view of institute achievements. Web of Science and Scopus are the two most popular and scientific. In this paper, we define the important effective factors in educational growth and discuss them; we then compare these defined factors across four different developing countries: Brazil, Iran, Malaysia, and Turkey. As well as the comparisons, this paper uses the Pearson product moment correlation coefficient method to analyze the factors and the strong or weak relationship between the factors are discussed.

Hybrid Affective Computing - Keyboard, Mouse and Touch Screen: From Review to Experiment

Kaveh Bakhtiyari, Mona Taghavi, Hafizah Husain
Journal Journal of Neural Computing and Applications, Aug. 2015
Springer, ISSN 0941-0643, Volume 26, Issue 6, Pages 1277-1296

Abstract

Emotions play an important role in human interactions. They can be integrated into the computer system to make human-computer interaction more effective. Affective Computing is an innovative computational modelling and detecting user’s emotions to optimize system responses in Human-Computer Interaction (HCI). However, there is a trade-off between recognition accuracy and real-time performance in some of the methods such as processing the facial expressions, human voice and body gestures. Other methods lack efficiency and usability in real world applications such as Natural Language Processing (NLP) and Electroencephalography (EEG) signals. To accomplish a reliable, usable and high performance system, this paper proposes an intelligent hybrid approach to recognize users’ emotions by using easily accessible and low computational cost input devices including keyboard, mouse (touch-pad: single touch) and touch screen display (single touch). Using the proposed approach, the system is developed and trained in a supervised mode by Artificial Neural Network (ANN) and Support Vector Machine (SVM) techniques. The result shows an increase of accuracy of 6% (93.20%) by SVM in comparison to the currently existing methods. It is a significant contribution to show new directions of future research in emotion recognition, user modelling and emotional intelligence.

Do we have privacy in the digital world?

Kaveh Bakhtiyari
Note Published Online as a Note
Last Update: 10 December 2014 (Peer-Reviewed) - DOI: 10.13140/RG.2.1.2492.5203/2

Abstract

Not really.

Planning for Sustainable Development in the Emerging Information Societies

Mona Taghavi, Kaveh Bakhtiyari, Hamed Taghavi, Vahhab Olyaee, Aini Hussain
Journal Journal of Science and Technology Policy Management, Nov. 2014
Emerald, ISSN 2053-4620, Volume 5, Issue 3, Pages 178-211

Abstract

Purpose – This research work investigates the recent status of the information and communication technology services industry in Iran. It proposes a systemic applicable approach at policy making level and appropriate strategic planning steps to enlighten developing countries toward achieving their target objectives of an Information Society.

Design/methodology/approach – Largely based on existing literature and usage statistics in ICT services, global technology trends, and results from a survey to obtain consistent and up-to-date information about current issues of ICT services in the public and private sectors in Iran.

Findings – This study elaborates on all issues, points, and best practices relevant to the ICT services industry in Iran which is addressed by recommending some documented policies.

Research limitations/implications - Majority of the experts who attended the workshop and responded to the questionnaire were service consumers rather than service providers.

Practical implications - This paper discusses some of the implications for the development of this ICT services strategy and provides policy recommendations.

Originality/value – This study provides a government refining process policy to address the common gaps in the ICT services industry in these developing countries and emphasizes a formidable policy foundation before implementing and monitoring of the Flagship ICT projects.

Ethical and Unethical Methods of Plagiarism Prevention in Academic Writing

Kaveh Bakhtiyari, Hadi Salehi, Mohamed Amin Embi, Masoud Shakiba, Azam Zavvari, Masoomeh Shahbazi-Moghadam, Nader Ale Ebrahim, Marjan Mohammadjafari
Journal Journal of International Education Studies, Jul. 2014
Canadian Center of Science and Education, ISSN 1913-9020, Volume 7, Issue 7, Pages 52-62

Abstract

This paper discusses plagiarism origins, and the ethical solutions to prevent it. It also reviews some unethical approaches, which may be used to decrease the plagiarism rate in academic writings. We propose eight ethical techniques to avoid unconscious and accidental plagiarism in manuscripts without using online systems such as Turnitin and/or iThenticate for cross checking and plagiarism detection. The efficiency of the proposed techniques is evaluated on five different texts using students individually. After application of the techniques on the texts, they were checked by Turnitin to produce the plagiarism and similarity report. At the end, the “effective factor” of each method has been compared with each other; and the best result went to a hybrid combination of all techniques to avoid plagiarism. The hybrid of ethical methods decreased the plagiarism rate reported by Turnitin from nearly 100% to the average of 8.4% on 5 manuscripts.

Fuzzy Model of Dominance Emotions in Affective Computing

Kaveh Bakhtiyari, Hafizah Husain
Journal Journal of Neural Computing and Applications, Jun. 2014
Springer, ISSN 0941-0643, Volume 25, Issue 6, Pages 1467-1477

Abstract

To date, most of the human emotion recognition systems are intended to sense the emotions and their dominance individually. This paper discusses a fuzzy model for multilevel affective computing based on the dominance dimensional model of emotions. This model can detect any other possible emotions simultaneously at the time of recognition. One hundred and thirty volunteers from various countries with different cultural backgrounds were selected to record their emotional states. These volunteers have been selected from various races and different geographical locations. Twenty-seven different emotions with their strengths in a scale of 5 were questioned through a survey. Recorded emotions were analyzed with the other possible emotions and their levels of dominance to build the fuzzy model. Then this model was integrated into a fuzzy emotion recognition system using three input devices of mouse, keyboard and the touch screen display. Support vector machine classifier detected the other possible emotions of the users along with the directly sensed emotion. The binary system (non-fuzzy) sensed emotions with an incredible accuracy of 93%. However, it only could sense limited emotions. By integrating this model, the system was able to detect more possible emotions at a time with slightly lower recognition accuracy of 86%. The recorded false positive rates of this model for four emotions were measured at 16.7%. The resulted accuracy and its false positive rate are among the top three accurate human emotion recognition (affective computing) systems.

Implementation of Emotional-Aware Computer Systems Using Typical Input Devices

Kaveh Bakhtiyari, Mona Taghavi, Hafizah Husain
Conference The 6th Asian Conference on Intelligent Information and Database Systems (ACIIDS), Bangkok, Thailand, 7-9 Apr. 2014
Lecture Notes in Computer Science (LNCS), Springer, ISBN 978-3-319-05476-6, Volume 8397, Pages 364-374

Abstract

Emotions play an important role in human interactions. Human Emotions Recognition (HER - Affective Computing) is an innovative method for detecting user’s emotions to determine proper responses and recommendations in Human-Computer Interaction (HCI). This paper discusses an intelligent approach to recognize human emotions by using the usual input devices such as keyboard, mouse and touch screen displays. This research is compared with the other usual methods like processing the facial expressions, human voice, body gestures and digital signal processing in Electroencephalography (EEG) machines for an emotional-aware system. The Emotional Intelligence system is trained in a supervised mode by Artificial Neural Network (ANN) and Support Vector Machine (SVM) techniques. The result shows 93.20% in accuracy which is around 5% more than the existing methods. It is a significant contribution to show new directions of future research in this topical area of emotion recognition, which is useful in recommender systems.

Emotional and Cultural Intelligence in Recommender Systems

Kaveh Bakhtiyari, Hafizah Husain, Jürgen Ziegler
Conference The International Conference on Engineering and Built Environment (ICEBE), UKM, Malaysia, 19-20 Nov. 2013

Abstract

In this paper, we propose a novel adaptive recommender system based on emotional and cultural intelligence by processing the users’ interactions with the common input devices such as mouse, keyboard, touch-screen monitors and EEG. This system can be employed in a computational advertising system. A metaphor semantic ontology should also be developed to retrieve the users’ cultures based on the metaphor meaning of the context which can be different with the traditional semantic and direct meanings of the words. For evaluation of the system, despite the traditional Precision/Recall methods, emotional intelligence system and fuzzy/probabilistic calculations are proposed to measure the performance and accuracy of the resulted recommendation.

Agent-Based Computational Investing Recommender System

Mona Taghavi, Kaveh Bakhtiyari, Edgar Scavino
Conference The 7th ACM Conference Series on Recommender Systems (RecSys), HK City University, Hong Kong, 12–16 Oct. 2013
ACM, ISBN 978-1-4503-2409-0/13/10, Pages 455-458

Abstract

The fast development of computing and communication has reformed the financial markets' dynamics. Nowadays many people are investing and trading stocks through online channels and having access to real-time market information efficiently. There are more opportunities to lose or make money with all the stocks information available throughout the World; however, one should spend a lot of effort and time to follow those stocks and the available instant information. This paper presents a preliminary regarding a multi-agent recommender system for computational investing. This system utilizes a hybrid filtering technique to adaptively recommend the most profitable stocks at the right time according to investor's personal favour. The hybrid technique includes collaborative and content-based filtering. The content-based model uses investor preferences, influencing macro-economic factors, stocks profiles and the predicted trend to tailor to its advices. The collaborative filter assesses the investor pairs' investing behaviours and actions that are proficient in economic market to recommend the similar ones to the target investor.

Fuzzy Model on Human Emotions Recognition

Kaveh Bakhtiyari, Hafizah Husain
Conference The 12th WSEAS International Conference on Applications of Computer Engineering (ACE), Cambridge, MA, USA, 30 Jan. – 1 Feb. 2013
ISBN 978-1-61804-156-2, Pages 77-82

Abstract

This paper discusses a fuzzy model for multi-level human emotions recognition by computer systems through keyboard keystrokes, mouse and touch-screen interactions. This model can also be used to detect the other possible emotions at the time of recognition. Accuracy measurements of human emotions by the fuzzy model are discussed through two methods; the first is accuracy analysis and the second is false positive rate analysis. This fuzzy model detects more emotions, but on the other hand, for some of emotions, a lower accuracy was obtained with the comparison with the non-fuzzy human emotions detection methods. This system was trained and tested by Support Vector Machine (SVM) to recognize the users’ emotions. Overall, this model represents a closer similarity between human brain detection of emotions and computer systems.

Intrusion Detection and Prevention System in Cloud Computing: A Systematic Review

Ahmed Patel, Mona Taghavi, Kaveh Bakhtiyari, Joaquim Celestino Júnior
Journal Journal of Network and Computer Applications, Jan. 2013
Elsevier, ISSN 1084-8045, Volume 36, Issue 1, Pages 25-41

Abstract

The distributed and open structure of cloud computing and services becomes an attractive target for potential cyber-attacks by intruders. The traditional Intrusion Detection and Prevention Systems (IDPS) are largely inefficient to be deployed in cloud computing environments due to their openness and specific essence. This paper surveys, explores and informs researchers about the latest developed IDPSs and alarm management techniques by providing a comprehensive taxonomy and investigating possible solutions to detect and prevent intrusions in cloud computing systems. Considering the desired characteristics of IDPS and cloud computing systems, a list of germane requirements is identified and four concepts of autonomic computing self-management, ontology, risk management, and fuzzy theory are leveraged to satisfy these requirements.

Taxonomy and Proposed Architecture of Intrusion Detection and Prevention Systems for Cloud Computing

Ahmed Patel, Mona Taghavi, Kaveh Bakhtiyari, Joaquim Celestino Júnior
Conference The 4th International Symposium on Cyberspace Safety and Security (CSS), Deakin University Melbourne Burwood Campus, Melbourne, Australia, 12-13 Dec. 2012
Lecture Notes in Computer Science (LNCS), Springer, ISBN 978-3-642-35362-8, Volume 7672, Pages 441-458

Abstract

The distributed and open structure of cloud computing and services becomes an attractive target for potential cyber-attacks by intruders. The traditional Intrusion Detection and Prevention Systems (IDPS) are deemed largely inefficient to be deployed in cloud computing environments due to their openness, dynamicity and virtualization in offered services. This paper surveys and explores the possible solutions to detect and prevent intrusions in cloud computing systems by providing a comprehensive taxonomy of existing IDPS. It discusses the key features of IDPS that are challenging and crucial for choosing the right security measures for designing an IDPS. The paper further reviews the current state of the art of developed IDPSs for cloud computing which uses advanced techniques in overcoming the challenges imposed by cloud computing requirements for more resilient, effective and efficient IDPSs, abbreviated as CIPDS.

Evaluation of Cheating Detection Methods in Academic Writings

Ahmed Patel, Kaveh Bakhtiyari, Mona Taghavi
Journal Journal of Library Hi Tech, Nov. 2011
Emerald, ISSN 0737-8831, Volume 29, Issue 4, Pages 623-640

Abstract

Purpose – This paper aims to focus on plagiarism and the consequences of anti-plagiarism services such as Turnitin.com, iThenticate, and PlagiarismDetect.com in detecting the most recent cheatings in academic and other writings.

Design/methodology/approach – The most important approach is plagiarism prevention and finding proper solutions for detecting more complex kinds of plagiarism through natural language processing and artificial intelligence self-learning techniques.

Findings – The research shows that most of the anti-plagiarism services can be cracked through different methods and artificial intelligence techniques can help to improve the performance of the detection procedure.

Research limitations/implications – Accessing entire data and plagiarism algorithms is not possible completely, so comparing is just based on the outputs from detection services. They may produce different results on the same inputs.

Practical implications – Academic papers and web pages are increasing over time, and it is very difficult to capture and compare documents with all available data on the network in an up to date manner.

Originality/value – As many students and researchers use the plagiarism techniques (e.g. PDF locking, ghost-writers, dot replacement, online translators, previous works, fake bibliography) to cheat in academic writing, this paper is intended to prevent plagiarism and find suitable solutions for detecting more complex kinds of plagiarism. This should also be of grave concern to teachers and librarians to provide up to date/standard anti-plagiarism services. The paper proposes some new solutions to overcome these problems and to create more resilient and intelligent future systems.

Encryption Systems (in Persian Language)

Kaveh Bakhtiyari
Journal Web Magazine, Aug. 2004
ISSN 1735-1820, Volume 50, Page 16-19

Chips Speed and Technology Improvement Rate in the Future (in Persian Language)

Kaveh Bakhtiyari
Journal Web Magazine, Jun. 2004
ISSN 1735-1820, Volume 48, Page 24-25
  • 2014 2013

    Iranian Students’ Association at Universiti Kebangsaan Malaysia (ISAUKM)

    The National University of Malaysia (UKM), Malaysia

    Member
    Computer & Technical Advisor
    Webmaster of the Association’s Website
    More info...

  • 2012 2011

    AIESEC

    UKM, Kauala Lumpur, Malaysia

    UDE, Essen, Germany

    The international platform for young people to explore and develop their leadership potential in global awareness platforms
    Member
    More info...

  • 2010 2009

    Young Researchers Club (YRC)

    Islamic Azad University, Tehran, Iran

    Member
    More info...

  • 2006 2005

    IAUTB Computer Scientific Society

    Islamic Azad University, Tafresh Branch, Iran

    Society Founder
    Vice-President
    Member
    More info...

  • 2003 2001

    Society of Iranian Professionals (SIP)

    San Jose, California, USA

    Student Member
    More info...

Development & Analysis Skills

Source Codes & Scripts

  • v2.5 2017

    KinRes: Kinect Respiratory Monitoring (Microsoft Kinect v2 - C#.NET)

    This is a windows-based software to record human respiratory signal by using the Microsoft Kinect 2 sensor. Minimum requirements to run this software are: 1) Microsoft Windwos 10+; 2) Microsoft Visual Studio 2015+; 3) Microsoft Kinect SDK; 4) Intel USB 3 Port; 5) Microsoft Kinect 2 Sensor.

    Software Screenshot v.1.5 (Windows 10 64-bit)
    For more information, you can check the published paper (PDF) and/or the project's source code in GitHub repository .
    This online version runs with SMA filter and manual chest ROI detection. The Kalman filter and automatic body porportion method are not included in this version on GitHub yet.

  • v1.1 2017

    Heart Rate Logger (Samsung Gear 2 - Tizen for Wearables)

    A smart watch application based on Tizen OS to record heart rates and RR-intervals constantly from Samsung Gear 2 in CSV format.

    App Screenshot v.1.1 (Samsung Gear 2)
    This app is not submitted to Samsung Apps, because the partner level with Samsung is required for the apps using "medicalinfo" privilege .
    Source code is available in GitHub repository .

  • v1.9 2017

    Edu-Stats API

    Well-known academic profiles (such as Google Scholar) do not provide APIs to present the relevant updated statistics on the other websites (e.g. the personal websites) automatically. Edu-Stats is a parser to extract the scholar details of academicians such as h-index, citations, etc. These extracted statistics can be used and presented on the personal websites by an embedded JavaScript.

    Edu-Stats supports Google Scholar, Scopus and ResearcherID.

    For more information, you can check Edu-Stats API info-sheet .
    Source code is available in GitHub repository .

  • v1.0 2016

    Kaveh_PP_Footer_Outline (Microsoft Powerpoint Macro - VBA)

    This macro writes the names of the sections in the Powerpoint footer, and it changes the font/color of the current section in order to show which section the slide belongs to. In addition, it writes the active slide number and total number of slides dynamically (e.g. x of X) without hardcoding the total number.

    Download Source Code (4 KB)

  • v1.3 2014

    Kaveh_Mark_Long (Microsoft Word Macro - VBA)

    This macro counts the words and marks the sentences with more than a specific number of words (e.g. 30). According to the "English for Writing Research Papers" , the maximum of 30 words per sentence is acceptable for research articles. This macro helps authors to recognize the long sentences thus to simplify them.

    It requires "Microsoft XML v6.0" to be added/checked in references (VBA Editor: Tools > References).
    Download Source Code (6 KB)

  • v1.1 2014

    Kaveh_ENChangeCitationColor (Microsoft Word Macro - VBA)

    This macro marks (DarkBlue) the in-line citations of EndNote .
    EndNote software does not have any built-in feature to change the color of in-line citations in a Word document. This macro changes the color of all citations made by EndNote, and makes the references in a document clear.

    It requires "Microsoft XML v6.0" to be added/checked in references (VBA Editor: Tools > References).
    Download Source Code (4 KB)

  • v1.0 2010

    IPHistogram & IPSimpleFiltering (Image Processing)

    These are my assignments in the course of Image Processing at the National University of Malaysia (Universiti Kebangsaan Malaysia) in 2010. These two software do some simple histogram functions and apply few filtering methods.

    These software are developed in C#.NET.

    #IPHistogram
    - Gaussian Distribution Based on Sigma
    - Exponential Shape Based on Landa
    - Histogram Equalization

    Source code in GitHub repository
    Software Screenshot

    #IPSimpleFiltering
    - Local Averaging
    - Median
    - Log

    Source code in GitHub repository
    Software Screenshot

At University of Duisburg-Essen

You can find me at my office located at the University of Duisburg-Essen at the following address:

Interactive Systems
University of Duisburg-Essen (Campus Duisburg)
Forsthausweg 2 (Building LF)
47057 Duisburg, North Rhine-Westphalia (NRW)
GERMANY

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At Work

For more information and details, please visit the MUSINGWAY Ltd. website at musingway.com .

At the National University of Malaysia (UKM)

At the moment, I am not always available in campus.

You can find me at my office located at the National University of Malaysia at the following address:

Digital Signal Processing (DSP) Lab
Level 2, Faculty of Engineering & Built Environment
Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor
MALAYSIA

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You may consider a call to fix an appointment.