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Dr. Karamath Ateeq

Dr. Ghaza

Lecturer

  • D. (Computer Science and Engineering) Bharathidasan University, India,2018
  • E (Master of Engineering, Engineering in Applied Electronics and Computers) , Madras University, India, 2002
  • E (Bachelor of Engineering, Electronics and Communication Engineering), Madras University, India, 1992
  • Senior Lecturer, University of Jazeera(Dubai U.A.E), 2017
  • Deputy Program Manager and Program Coordinator, Al Khawarizmi International College-AbuDhabi UAE, 2006-2016
  • Senior Faculty, Stanford Training institute AbuDhabi UAE, 2003-06
  • Senior Faculty –ECE DEPT, RVR and JC college of Engineering, 2002-2003
  • Senior Faculty and Coordinator for Foreign students, Hindustan College of Engineering, India, 1995-2002
  • Faculty and Project Coordinator, GCI Institutions Chennai ,India, 1994-2005
  • Design Engineer, Shah Electronic Components PVT LTD, India, 1992-94
  • Design and Testing Trainee Engineer, Defense Research and Development (DRDO), India, 1991-92
  • Ateeq, K., & Ganapathy, G. (2016). Techniques and Challenges in Medical Cloud for Diabetic Prediction–A Survey. International Association of Scientific Innovation and Research (IASIR),62-66
  • Ateeq, K., & Ganapathy, G. (2017). A Hybrid Genetic-Relative Reduct Algorithm for Pre-Processing the Diabetic Dataset. International Journal of Advanced Research in Computer Science, 8(1).
  • Ateeq, K., & Ganapathy, G. (2017). The novel hybrid Modified Particle Swarm Optimization–Neural Network (MPSO-NN) Algorithm for classifying the Diabetes. International Journal of Computational Intelligence Research, 13(4), 595-614.
  • Yamini, G. K. Ateeq, "A Reliability-Driven Methodology to enhance the Healthcare Quality," 2019 International Conference on Digitization (ICD), Sharjah, United Arab Emirates, 2019, pp. 260-262, doi: 10.1109/ICD47981.2019.9105837.
  • Ateeq, K, Pradhan, M R and Mago, B (2020) Elasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment.Advances in Science, Technology and Engineering Systems Journal, 5 (6). pp. 1618-1633.
  • Siddiqui, S Y, Haider, A, Ghazal, T M, Khan, M A, Naseer, I, Abbas, S, Rahman, M, Khan, J A, Ahmad, M, Hasan, M K, Afifi, M A M and Ateeq, K (2021) IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning.IEEE Access, 9. pp. 146478-146491. ISSN 2169-3536
  • Mathew, Saju Mathew & Oswal, Nidhi & Ateeq, Dr.karamath. (2021). Artificial Intelligence (AI): Bringing a New Revolution in Human Resource Management (HRM).
  • Ateeq, Dr.karamath & Mago, Beenu & Pradhan, Manas. (2021). A novel flexible data analytics model for leveraging the efficiency of smart education. Soft Computing. 25. 10.1007/s00500-021-05925-9.
  • Pradhan, M.R., Ateeq, K., Mago, B.(2021). Wearable Device Based on IoT in the Healthcare System for Disease Detection and Symptom Recognition, International Journal on Artificial Intelligence Tools.30(6-8),2140011
  • Ateeq, P. RamLal, O. A. Thawabeh, A. Arsalan, M. Burhan and M. U. Nasir, "NABA: Novel Adaptive Broadcast Storm Avoidance in NDN and SDN based FANET," 2022 International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates, 2022, pp. 1-5, doi: 10.1109/ICCR56254.2022.9995825
  • Al-Sit, W. T., Ateeq, K., Moinuddin, S. Q., Aslam, S., Rehman, A., Asgher, T., & Thawabeh, O. A. (2022, October). Direct Trust in Cloud Computing Based on Fuzzy Logic. In 2022 International Conference on Cyber Resilience (ICCR) (pp. 1-6). IEEE
  • Alyas, T., Ateeq, K., Alqahtani, M., Kukunuru, S., Tabassum, N., & Kamran, R. (2022, October). Security Analysis for Virtual Machine Allocation in Cloud Computing. In 2022 International Conference on Cyber Resilience (ICCR) (pp. 1-9). IEEE.
  • Gaytan, J. C. T., Ateeq, K., Rafiuddin, A., Alzoubi, H. M., Ghazal, T. M., Ahanger, T. A., ... & Viju, G. K. (2022). Ai-based prediction of capital structure: Performance comparison of ann svm and lr models. Computational intelligence and neuroscience, 2022.
  • Abu-Khadrah, A., Issa, G. F., Aslam, S., Shahzad, M., Ateeq, K., & Hussain, M. (2022, February). IoT Based Smart Fish-Feeder and Monitoring System. In 2022 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-4). IEEE.
  • Ateeq, K. (2022, February). Hybrid working method: An integrative review. In 2022 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-8). IEEE.
  • Rehman, A. U., Haroon, H. M., Malik, J. A., Saeed, A., Ali, A., & Ateeq, K. (2022, February). Fuzzy System For Covid-19 Disease Detection. In 2022 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-8). IEEE.
  • Karn, A. L., Ateeq, K., Sengan, S., Gandhi, I., Ravi, L., Sharma, D. K., & Subramaniyaswamy, V. (2022). B-LSTM-NB BASED COMPOSITE SEQUENCE
  • LEARNING MODEL FOR DETECTING FRAUDULENT FINANCIAL ACTIVITIES. Malaysian Journal of Computer Science, 30-49.
  • Alnawayseh, S. E., Muhammad, M. H. G., Hassan, Z., Fatima, M., Aslam, M. S., Ibrahim, A., & Ateeq, K. (2023, March). Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-9). IEEE.
  • Khan, W. A., Ateeq, K., & Amjad, K. (2023, March). An Investigation of Operative Data Safety and Authentication Schemes for Benign Cloud Environments. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-5). IEEE.
  • Raza, S. A., Kanwal, A., Nair, H. K., Khan, A. I., Naseer, I., Amjad, M., ... & Al Sakhnani, M. (2023, March). User Feedback based Trust Analysis in Cloud Computing using Machine Learning Approach. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-8). IEEE.
  • Khan, W. A., Ateeq, K., & Amjad, K. (2023, March). An Investigation of Operative Data Safety and Authentication Schemes for Benign Cloud Environments. In 2023 International Conference on Business Analytics for Technology and Security (ICBATS) (pp. 1-5). IEEE.
  • Ateeq, K., Gaytan, J. C. T., Rafiuddin, A., & Shen, C. W. (2021, September). Application of Artificial Neural Network (ANN) in the Estimation of Financial Ratios: A Model. In International Conference on Cyber Security, Privacy and Networking (pp. 374-383). Cham: Springer International Publishing.
  • Pradhan, M. R., Mago, B., & Ateeq, K. (2023). A classification-based sensor data processing method for the internet of things assimilated wearable sensor technology. Cluster Computing, 26(1), 807-822.
  • Ateeq, K., Mago, B., & Pradhan, M. R. (2021). A novel flexible data analytics model for leveraging the efficiency of smart education. Soft Computing, 25(18), 12305-12318.
  • Alashhab, Z. R., Anbar, M., Rihan, S. D. A., Alabsi, B. A., & Ateeq, K. (2023). Enhancing Cloud Computing Analysis: A CCE-Based HTTP-GET Log Dataset. Applied Sciences, 13(16), 9086.
  • Awotunde, J. B., Ogundokun, R. O., Jimoh, R. G., Misra, S., & Aro, T. O. (2021). Machine learning algorithm for cryptocurrencies price prediction. In Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities (pp. 421-447). Cham: Springer International Publishing.

Title: PORTABLE APPARATUS FOR UNDERGROUND CABLE FAULT DETECTION

Country: Australian Innovation Patent 

Patent Application No. is 2021102407

Authors: Mr Biswaranjan Acharya, Dr Arjyadhara Pradhan, Dr Karamath Ateeq, Dr Alivarani Mohapatra, Ms Puja Das, Mr Asik Rahaman Jamader, Prof Satyabrata Sahoo, Ms Samita Rani Pani, Ms Tapaswini Biswal

Year: 2022

 

Title: AI BASED STREET LIGHT ON/OFF STREET LAMP BASED ON OBJECT DETECTION

Country: German Patent 

Patent Application No. DE: 20 2022 106 124.6

Authors: Ateeq, Karamath, Sharjah, AE, Ganesan, Yamini, Trichy, IN, Kaushik, Priyanka, Ghaziabad, IN, Khalil, Omar Kassem, Sharjah, AE, Rathore, Saurabh Pratap Singh, Gwalior, IN, Udendhran, Rajendran, Trichy, IN    

Year: 2023

 

Title: RADAR SYSTEM WITH ARDUINO AND ULTRASONIC SENSOR FOR BUILDING INSPECTION

Country: German Patent 

Patent Application No. DE: 20 2023 100 397.4

Authors Agrawal, Anurag Vijay, Dr., Bijnor,  Ateeq, Karamath,Dr.Daniyal, Mohammad, Dr., Mohali, Kajjam, Aravind Babu, Dr. Mahajan, Samriti, Dr.  Tiwari, Bhupendra Bahadur, Dr., Yamini, Ganeshan, Dr.

Year: 2023

 

Title: RADAR SYSTEM WITH ARDUINO AND ULTRASONIC SENSOR FOR BUILDING INSPECTION

Country: German Patent 

Patent Application No. DE: 20 2023 100 397.4

Authors Agrawal, Anurag Vijay, Dr., Bijnor,  Ateeq, Karamath,Dr.Daniyal, Mohammad, Dr., Mohali, Kajjam, Aravind Babu, Dr. Mahajan, Samriti, Dr.  Tiwari, Bhupendra Bahadur, Dr., Yamini, Ganeshan, Dr.

Year: 2023

  • International Conference on Cyber Security, Privacy and Networking,(ICSPN-2022), Thailand, (Participant), 9th-11th September 2022
  • International Conference on Cyber Resilience ( ICCR-2022), (Participant), Dubai UAE, October 6-7th, 2022
  • International Conference on Business Analytics For Technology and Security (ICBATS-2022), (Participant), 16th-February 2022
  • 3rd International Conference on Finance, Economics, Management and IT Business (2021),Poland, (Participant),21st-22nd January 2021
  • 1st International Conference on Digitization (ICD-2019), Sharjah , UAE, (Participant), 18th-19th November 2019
  • 7th SGBED International Research Symposium , Sharjah, UAE, (Participant) 17th - 19th December 2018
  • Seminar on IEEE Signal Processing and Communication –White Space Networking, Khalifa University, Abu Dhabi, 2014
  • Seminar on Technology Innovations for next generations, Abu Dhabi, UAE, 2012
  • Workshop on Tactile Tasks and Technical Tips at Petroleum Institute, AbuDhabi,2006
  • Organized and Participated in Signals and Systems, Sponsored by Industry Institute Partnership, RVR and JC College of Engineering, India, 2002