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Department of AI/ML Engineering

The Department of AI/ML Engineering was established in the year 2021 with a vision to apply AI/ML Skill at various levels like IT knowledge, managerial skills and technical advancements and hence to address the demanding needs of IT industries and R&D sectors. The department is affiliated to Visvesvaraya Technological University (VTU). The Department offers a four years Bachelor degree programme. The Bachelor's programme will help our students for their productive careers in industry, academia, research and government sectors. The Bachelor program of AI/ML will help to utilize the concept of Artificial Intelligence and Machine learning,deep learning in innovative research areas such as Defence Sector, Data science, Pattern Recognition, Image Processing, Data Mining, Database Systems, Network Security, Mobile Communication, Bioinformatics, Parallel Processing, Cloud Computing, Big Data, Hadoop,Block chaining, DevOps and other related areas. To strengthen these research activities, the department has established a well setup of Research and Development Laboratories. The department faculty members have established themselves in nationally and internationally recognized research programs, including those of interdisciplinary nature.

Message from HOD

Dr. Manjula V

Head
Department of Artificial Intelligence & Machine Learning

Welcome to the Department of Artificial Intelligence and Machine Learning at P.A College of Engineering Mangalore.

We AIML@PACE are strongly committed to impart innovative and quality technical education with high standards. Artificial Intelligence & Machine Learning is a diverse field which has a significant role in the development of cutting-edge technology. Our mission is to enable students to become leaders in the industry and academia nationally and internationally in multidisciplinary area of AI ML.

AI ML covers a wide spectrum of emerging fields like Natural Language Processing, Computer Vision, Deep Learning, Speech/ Signal Processing, Embedded Systems, Intelligent Algorithms, Pattern Recognition, Data Mining and Big-Data Analytics. Our Team of qualified and experienced faculty makes students skilled in the above-mentioned areas along with their regular curriculum.

In addition to the curriculum, more emphasis is placed on enriching the students learning, experience by providing value added courses, Application development programs, Skill development programs, Technical and cultural competitions, Certification courses, Workshops, Hackathon at all levels including state, national and international platforms.

Department of AI ML @PACE strives hard to meet pressing demands in AI ML by making students technically competent at the global level and be industry ready in 4 years of their course. We encourage and intend their innovative ideas / projects / models / systems and make them realize the importance of ethics and human values.

We continue this journey with our commitment to excellence!

  • Dr. Manjula V

    Professor and HOD

    Qualification : B.E, M.Tech, Ph.D
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  • Dr. Manjula V

    Professor and HOD

    B.E, M.Tech, Ph.D

    Educational Details

    Degree : B.E.
    Year : 2002
    University : Bangalore University
    PG Degree : M.Tech
    Year : 2011
    University : VTU
    Doctoral Degree : An hierarchical classification in Educational Data mining to predicts students behavior
    Year : 2019
    University : Jain University

    Research Experience

    3 years

    Specialization Ph.D

    CSE

    Specialization PG

    CSE

    Subjects teaching at Under Graduate level

    SAN, DBMS, OS, ATC, BIG DATA ANALYTICS, DATA STRUCTURES,C, C++

    Subjects teaching at Post Graduate level

    ADVANCE DBMS, MOBILE COMPUTING

    International journals

    14

    Papers Presented in National Conference

    2

    Number of academic projects guided

    UG : 15

    Research Guidance

    1

    Research Project

    1

    Workshop Attend

    15

    Workshops/Seminars organized

    5

    Awards and Achivements

    1 Received Appreciation letter for conducted National conference NCETIT 2021, at DBIT, Bangalore.
    2 Received Appreciation letter for mentoring and support to Government High School students, who won the Second prize (25k cash) from ANVESHNA PROJECT TEAM,(2023) Bangalore.

    Administrative Responsibilities

    Working as a HOD (AI& ML)

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  • Dr. Mohammed Ismail B

    Professor

    Qualification : B.E, M.Tech, Ph.D
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  • Dr. Mohammed Ismail B

    Professor

    B.E, M.Tech, Ph.D

    hod_aiml@pace.edu.in
       Research Interest Computer Vision , Medical Image Processing, Machine Learning, Artificial Intelligence & IOT

    Educational Details

    Degree : B.E (I.T)
    Year : 2002
    University : VTU
    PG Degree : M.Tech (CSE)
    Year : 2010
    University : JNTU, Hyderabad
    Doctoral Degree : CSE with Title as Hybrid Approaches for Fractal Image Compression
    Year : 2017
    University : JNTU Anantapur A.P
    Other Degree : Post Doc Research
    Year : 2020
    University : Northern Illinios University USA

    Teaching Experience

    Worked as Associate Professor & Head Department of Information Technology, Kannur University Kerala 
    Professor CSE, K L Deemed to be University, Green Fields, Vaddeswaram, Guntur District, A.P.
     Sr. Assistant Professor Muffakham Jah College Engineering & Technology, Banjara Hills Hyderabad 
    Assistant Professor Al Habeeb College of Engineering and Technology Hyderabad 

    Research Experience

    1 year Post Doc Research , Dept of Electrical Engineering,Northern Illinois University USA

    Specialization Ph.D

    Computer Vision Machine Learning

    Specialization PG

    Computer Science & IOT

    Other Specialization

    Post Doc AI ML

    International journals

    SCI / Scopus/ WOS Publications
    1. Borra, S.P.R., Sumathy, B., Ismail, B.M. et al. Google’s new AI technology detects cardiac issues using retinal scan. Appl Nanosci (2022). https://doi.org/10.1007/s13204-021-02208-5 SCI  I.F 3.69
    2. Sripada, N.K. and Mohammed Ismail.B. A novel approach to classify skin malignancy through deep convolutional neural network and image pre processing approaches. International journal of health sciences. 6, S1 (Jun. 2022), 14194–14204.  https://doi.org/10.53730/ijhs.v6nS1.8611 
    3. Rajasekhar Nennuri, S. Iwin Thanakumar Joseph, B. Mohammed Ismail, L. V. Narasimha Prasad “A Hybrid Contextual Probabilistic Graph Clustering and Link Prediction Model for Complex Social Networking Data” Mathematical Statistician and Engineering Applications Vol. 71 No. 3s (2022)
    https://www.philstat.org.ph/special_issue/index.php/MSEA/article/view/273
    4. Zia ullah, Lin Qi, D. Binu, B. R. Rajakumar & B. Mohammed Ismail . 2-D canonical correlation analysis based image super-resolution scheme for facial emotion recognition. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-11922-3 SCI  I.F 2.75
    5. Kumar Agarwal A, Angeline Ranjithamani D, Pavithra M, Velayudham A, Shunmugam A, Mohammed Ismail “Machine Learning Technique for the Assembly-Based Image Classification System” Journal of Nuclear Energy Science & Power Generation Technology Volume 10 issue 9 2021
    6. Nyemeesha, V., Ismail, B.M. Implementation of noise and hair removals from dermoscopy images using hybrid Gaussian filter. Network Modeling Analysis in Health Informatics and Bioinformatics volume10 issue 1 December 2021 10, 49 (2021). https://doi.org/10.1007/s13721-021-00318-2
    7. Nyemeesha V, Mohammed Ismail.B A Systematic Study And Approach On Detection Of Classification Of Skin Cancer Using Back Propagated Artificial Neural Networks Turkish Journal of Computer and Mathematics Education Vol.12 No. 11 may (2021), 1737- 1748 https://turcomat.org/index.php/turkbilmat/article/view/6109 
    8. J Ravindra babu a , K Srinivas b , Mohammed Ismail B Aatif Jamshed d and Asmita Dixit “Implementation of a Cost Efficient Passive Keyless Entry Device for the Communication Protocol” Turkish Online Journal of Qualitative Inquiry (TOJQI) Volume 12, Issue 3, July 2021:1891- 1909 https://tojqi.net/index.php/journal/article/view/1598 
    9. Mohammed Ismail B, P.Rajesh ,Mansoor Alam “A Machine Learning Based Improved Logistic Regression Method for Prostate Cancer Diagnosis” International Journal of Emerging Trends in Engineering Research Volume 8. No. 9, September  2020 5693-5698 ISSN 2347 – 3983 https://www.warse.org/IJETER/static/pdf/file/ijeter127892020.pdf 
    10. S. Naresh Kumar, B. Mohammed Ismail, Systematic investigation on Multi-Class skin cancer categorization using machine learning approach, Materials Today: Proceedings, Dec 2020,ISSN 2214-7853, 
    https://doi.org/10.1016/j.matpr.2020.11.484
    11. D.Sai Pravallika, V. Monica Sai, D.Lakshmi Sahithi, K.Rishitha, Mohammed Ismail.B “ Face Expression Recognition by Hybrid Local Binary Pattern with Haar Cascade Method” Solid State Technology  Vol. 63 No. 6 (2020) pp 12919 – 12927 ISSN 0038-111X http://solidstatetechnology.us/index.php/JSST/article/view/6317
    12. Lingam Rohith , Mote Meghana , Parchuri Supriya , Nafiza Nawaz , Mohammed Ismail.B
    “Design and Implementation of Drowsiness Detection for a Vehicle Driver Using Eye Aspect Ratio of Retina” Psychology and Education Dec (2020) 57(9): 1342-1349 http://psychologyandeducation.net/pae/index.php/pae/article/view/465
    13. Ghousia Anjum Shaik, T.Bhaskara Reddy, Mohammed Ismail.B, Mansooor Alam “A Spiral Architecture Based Variable Range Fractal Image Compression Method” International Journal of Advanced Science and Technology Vol. 29, No. 8, (2020), pp.3751-3760 ISSN 2005-4238 http://sersc.org/journals/index.php/IJAST/article/view/26084
    14. Mylavarapu V S Pavan Kalyan , Dorsila Ranjith Kumar Reddy ,Pucha Yedukondalu Reddy , Pothuri Teja Sai Gautam , Mohammed Ismail.B “Design and Development of Automated Lane Detection Using Improved Canny Edge Detection Method” Psychology and Education Dec (2020) 57(9):1350-1358 ISSN: 00333077
    http://psychologyandeducation.net/pae/index.php/pae/article/view/466
    15. Kolla Bhanu Prakash, S. Sagar Imambi, Mohammed Ismail “Analysis, Prediction and Evaluation of COVID-19 Datasets using Machine Learning Algorithms” International Journal of Emerging Trends in Engineering Research Volume 8. No. 5, May 2020 2199-2204 ISSN 2347 – 3983 https://www.warse.org/IJETER/static/pdf/file/ijeter117852020.pdf
    16. Babitha D , Mohammed Ismail, Subrata Chowdhury “Automated Road Safety Surveillance System using Hybrid CNN-LSTM Approach” International Journal of Advanced Trends in Computer Science and Engineering Volume 9 No.2, April 2020,1767-1773
    17. Mohammad Ismail, Sreemanth Pisupati “Image Registration Method for Satellite Image Sensing using Feature based Techniques” International Journal of Advanced Trends in Computer Science and Engineering 9(1),490-593  ISSN 2278-3091,Feb 2020 https://www.warse.org/IJATCSE/static/pdf/file/ijatcse82912020.pdf
    18. Mohammad Ismail, D. Praveen Kumar Reddy, K.Sai Srikanth “A Machine Learning Technique for Reducing Hospital Readmissions for Diabetic Diseases” International Journal of Innovative Technology and Exploring Engineering 9(2),4878-4884, ISSN: 2278-3075, Dec 2019.
    19. Rahul Shahne, Mohammed Ismail, CSR Prabhu “Survey on Deep Learning Techniques for Prognosis and Diagnosis of Cancer from Microarray Gene Expression Data” Journal of  computational and theoretical  Nanoscience 16 (12), 5078-5088, Dec 2019. ISSN: 1546-1955
    20. Naresh Kumar Sripada , Mohammed Ismail. B “Challenges in Generative Modelling and Functioning Nature of Generative Adversarial Networks” Journal of Mechanics of Continua and Mathematical Sciences 14(6),83-91 WOS Nov 2019 ISSN 0973-8975 https://doi.org/10.26782/jmcms.2019.12.00007
    21. Yatish Venkata Chandra, K. Ravi Teja, M.Hari Chandra Siva Prasad, Mohammed Ismail “Lung Cancer Prediction using Data Mining Techniques” International Journal of Recent Technology and Engineering     8 (4), 12301-12305, Nov 2019  ISSN 2277-3878
    https://www.ijrte.org/wp-content/uploads/papers/v8i4/D9914118419.pdf
    22. V.I.S. RamyaSri, Ch. Niharika, K. Maneesh, Mohammed Ismail “ Sentiment Analysis of Patients Opinions in Healthcare using Lexicon-based Method” International Journal of Engineering and Advanced Technology 9(1), , Oct 2019 6977-6981 ISSN: 2249 – 8958 https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2141109119.pdf
    23. K.Naga Lakshmi, Y. Kishore Reddy, M. Kireeti, T.Swathi Mohammad Ismail  ” Design and Implementation of Student Chat Bot using AIML and LSA” International Journal of Innovative Technology and Exploring Engineering (IJITEE) 8 (6), 1742-1746, April 2019. ISSN: 2278-3075
    https://www.irjet.net/archives/V7/i3/IRJET-V7I3428.pdf
    24. Mohammad Ismail, V.Harsha Vardhan, V.Aditya Mounika, K.Surya Padmini “An Effective Heart Disease Prediction Method Using Artificial Neural Network “International Journal of Innovative Technology and Exploring Engineering’ 8 (8),1529-1532, June 2019. ISSN: 2278-3075
    https://www.ijitee.org/wp-content/uploads/papers/v8i8/H6654068819.pdf
    25. Mohammed Ismail. B, B. Eswara Reddy,T. Bhaskara Reddy “Cuckoo Inspired Fast Search Algorithm for Fractal Image Encoding” Elsevier Journal of King Saud University Computer and Information Sciences 30 (4), 462–469 ISSN: 1319-1578 Publisher:  Oct 2018 SCI
    https://doi.org/10.1016/j.jksuci.2016.11.003
    26. Mohammed Ismail B , K. Bhanu Prakash, M. Nagabhushana Rao “Collaborative Filtering-Based Recommendation of Online Social Voting” International journal of Engineering and Technology” 7 (3) 1504-1507 July 2018. 10.14419/ijet.v7i3.11630
    27. K.Srinivas,Dr.Mohammed Ismail.B “Testcase Prioritization With Special Emphasis On Automation Testing Using Hybrid Framework” Journal of Theoretical and Applied Information Technology 96(13)  4180-4190 July 2018 http://www.jatit.org/volumes/Vol96No13/18Vol96No13.pdf
    28. Mohammed Ismail B ,Sowmya , Ravi Teja “A Comparative Study on dealing with sparsity in E-Commerce”International Journal of Pure and Applied Mathematics 118 (5) , 185-194  ISSN 1311-8080 Jan 2018 https://acadpubl.eu/jsi/2018-118-5/articles/5/14.pdf
    29. Mohammed Ismail.B, Md Umair Quadri  “Design and development of Active head restraint system for whiplash protection” Journal of advanced  Research in Dynamical & Control Systems 11(1), 342-350 ISSN 1943-0231  July 2017 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85050775072&origin=inward
    30. Mohammed Ismail. B, Dr. T. Bhaskara Reddy, Dr. B. Eswara Reddy “Hybrid Fractal    Image Compression Based On Range Block Size” Graphics, Vision and Image Processing Journal,16(2) 23-32 ISSN  1687-3988 Publisher: ICGST, Delaware, USA.ISI Indexing Dec. 2016
    31. Mohammed Ismail. B, Dr. Mahaboob Basha shaik, Dr. B. Eswara Reddy “High Rate Compression Based on luminance & Chrominance of the image using binary plane technique” Journal of Theoretical and Applied Information Technology. 42 (2) 191-195 ISSN No: 1992-8645 August 2012

    UGC/ Peer Reviewed Publications 
    1. Ghousia Anjum Shaik, T.Bhaskara Reddy, Mohammed Ismail.B, Mansooor Alam A Variable Block Range Fractal Method for Image Compression January 2020 International Journal of Intelligence and Sustainable Computing 1(1):1DOI: 10.1504/IJISC.2020.10036957
    2. Mohammed Moulana, Y. Bhargavi Sai Priyanka, Mohammed Ismail.B, A. Meghana Priyanka “ Early Prediction of Employee Churn” Test Engineering and Management journal Volume 83 No.3 June 2020  18302 – 18307 ISSN 0193-4120
    3. Rajashekar Nennuri, B. Mohammed Ismail, “A systematic approach on extraction, segmentation and classification of web and social media data” Journal Of Critical Reviews ISSN- 2394-5125 Vol 7, No 15,July 2020 2484-2490
    4. Mohammed. Ismail.B “A Study Of Artificial Intelligence Methods For Human Behaviour In Various Urban Environments” International Journal of Technical Innovation in Modern Engineering & Science Volume 5, Issue 05, May-2019 ISSN: 2455-2585 pp784-788 UGC CARE Listed ISSN 2455-2585
    5. Mohammed Ismail, Mohd.Abdul Muqeet “ A Contemporary Study on Data Mining Techniques in Healthcare Sector” International Journal Of Research In Electronics And Computer Engineering Volume 7 issue 2 June 2019 ISSN: 2393-9028 pp 2182-2187 UGC CARE Listed
    6. Dr.Mohammed Ismail.B “Contemporary Bench Mark Techniques in Fractal image Compression-A Survey” International Journal of Engineering Technology Science and Research(IJETSR) Volume 4, Issue 10 October 2017 ISSN 2394 – 3386 pp 604-611 UGC Listed
    7. Dr. Mohammed Ismail.B “Variable Range Fractal Image Compression Using Spiral Architecture". 
    International Journal of Electrical, Electronics & Computer Science Engineering volume 4 issue 5 
    October 2017 UGC Listed
    8. Mr. Mohammad Abid, Mohammed Ismail. B “Mitigation of Harmonics by Shunt Active Power Filter”International Journal of Innovations in Engineering and Technology (IJIET) Volume 7 Issue 4 December 2016 ISSN: 2319 -1058 pp 169-176
    9. Mohammed Ismail.B“ Design & Development of android based home monitoring system” International Journal of Advanced Research in Science & Engineering(IJARSE) Volume 5 Issue 6 June 2016 ISSN No 2319-8354 pp141-151UGC Listed
    10. Mohd. Abdul Muqeet, Ajaz Fatima, Md.Ismail.B, Md.Abdullah, “Concept Design and Parameter Estimation of a Solar Photovoltaic UPS and Supplementation System”, International Journal of Advanced Research in Electrical,Electronics and Instrumentation Engineering (IJAREEIE) Vol.4, No.12, December 2015 ISSN 2320 – 3765 PP 9691-9696
    11. Mohammed Ismail. B, K. Sasidhar, Syed Aquib Ahmed"Design and Development of a Vehicle Monitoring System Using CAN Protocol"International Journal of Advanced Research in Computer and Communication Engineering(IJARCCE)Vol 4,Nov 2015, ISSN 2319 -5940,PP 386-390
    12. Shaik Barakathulla Basha, Dr.Md Haseeb Khan and Mohammed Ismail B  “A Simulation Model For Converting Single-Phase To Three-Phase System Using Two Parallel Single-Phase Rectifiers” International Journal of Electrical and Electronics & Telecommunications  ISSN 2319 – 2518 Vol. 4, ISSUE No. 3, July 2015 PP 47-56
    13. M A Wajid Mudassir, Mohammed Ismail.B,Dr.Md.Haseeb Khan, Dr. Arshia Azam “Comparative Study Of SPWM & SVPWM Based Three Phase Voltage Source Inverter For An UPS System  Operating Under Non Linear Loads”. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering(IJAREEIE) Vol. 4, No 5, May 2015 ISSN 2320-3765, PP 4214-4224  
    14. Mohammed Ismail B.  Mohd.Abdul Muqeet , Mohammed Fawad Malik , Abdul Karim Khan “Intersection Cross Traffic Warning System for Vehicle Collision Avoidance”, International Journal of AdvancedResearch in Electrical,Electronics and Instrumentation Engineering(IJAREEIE) Vol. 3, No 11, November 2014 ISSN 2320 – 3765 PP 13155-13160
    15. Mohammed Ismail.B, Syed Fouzan Ishaqui, Abdul Karim Khan, Mohammed Abdul Quadeer”Head Gesture Based Control of Wheelchair for a Paralysed Person in an Indoor Environment”International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering(IJIREEICE)vol. 2, No 10, October 2014   ISSN 2321 – 5526, PP 2079-2083 UGC Listed
    16. Mohammed Ismail.B, Aaquib Junaid, Shibashish Banerjee, Md. Abdul Jabbar “Embedded Web Server for Wireless Sensor Network in Industrial Applications”International Journal of Advanced Research in Electrical,Electronics and Instrumentation Engineering(IJAREEIE)Vol. 2, No 8, August 2013 ISSN 2320-3765, PP 4067-4071

    Books Published Details

    Text Books Published:  
    1. “Machine Learning Techniques on Classification Approaches” Dec 2019 Research India International Publications, ISBN 978-93-89116-40-3
    2. “A Fractal Approach on Digital Image Compression Techniques” June 2018 Research India International Publications, ISBN 978-93-87374-59-1 
    3. “Fractal Compression Techniques for Image Processing” May 2020 Lambert Academic Publishers, ISBN 978-620-2-52821-4 

    Book Chapters Published   
    1. Yield Prediction of Indian Crops Based on Weather Data ISBN 978-981-19-2003-5 Springer Nature 2022 https://link.springer.com/chapter/10.1007/978-981-19-2004-2_16 In: Dhar, S., Do, DT., Sur, S.N., Liu, H.CM. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 902. Springer, Singapore.
    2. Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural Network Communications in Computer and Information Science Volume 1435, 2021, Pages 106-122  10.1007/978-3-030-82269-9_9  Springer link 2021 
    3. Network Forensics Investigation in Virtual Data Centers Using ELK   by ACM USA  2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021). ACM, New York, NY, USA, 175–179. DOI: https://doi.org/10.1145/3459104.3459135
    4. A Multi-Class Skin Cancer Classification Through Deep Learning Lecture Notes on Data Engineering and Communications Technologies   Volume 116, 2022, Pages 527-539 ISSN 978-981-16-9605-3 Springerlink 2021 https://link.springer.com/chapter/10.1007/978-981-16-9605-3_36


    Papers Presented in International Conference

    1. Sripada, N.K., Mohammed Ismail, B. (2022). A Multi-Class Skin Cancer Classification Through Deep Learning. In: Suma, V., Fernando, X., Du, KL., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 116. Springer, Singapore.  https://doi.org/10.1007/978-981-16-9605-3_36
    2. Athulya, P., Mohammed Ismail, B. (2023). Yield Prediction of Indian Crops Based on Weather Data. In: Dhar, S., Do, DT., Sur, S.N., Liu, H.CM. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 902. Springer, Singapore. https://doi.org/10.1007/978-981-19-2004-2_16
    3. K. Muhammed Shafi and B. Mohammed Ismail, "Systematic Study on Different Methods Used for Identification and Classification of Plant Leaves," 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 2021, pp. 328-332, doi: 10.1109/ICEECCOT52851.2021.9708023.
    4. C. P. Shahina and B. Mohammed Ismail, "G-Tree Indexing and ACO for Spatial Query," 2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT), 2021, pp. 200-203, doi: 10.1109/ICEECCOT52851.2021.9707945.
    5.  P. Rajesh, Mohammed Ismail. Ismail. B., Mansoor Alam, Mansour Tahernezhadi, and Monika A. 2021. Network Forensics Investigation in Virtual Data Centers Using ELK. In 2021 International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2021). ACM, New York, NY, USA, 175–179. DOI: https://doi.org/10.1145/3459104.3459135
    6. Nyemeesha V, and Mohammed Ismail B  A Method to Enhance Classification of Skin Cancer Using Back Propagated Artificial Neural Network In the 2021 International Conference on Applied Intelligence and Informatics (AII 2021) 30 - 31 July 2021, Nottingham – UK
    7. Naresh Kumar Sripada , Mohammed Ismail. B A multi-class skin cancer classification through deep learning ICECMSN 2021- Springer Sept 2021
    8. Mohammed Ismail, Manzoor Tahernezahdi, Mansoor Alam “A Machine Learning Classification Technique for Predicting Prostate Cancer” IEEE International Conference  EIT-2020 Naperville Northern Illinois University IL USA July 2020
    9. Mohammed Ismail, Ghousia Anjum T.Bhaskara Reddy “Variable Block Size Hybrid Fractal Technique for Image Compression” Proceedings IEEE 6th International Conference on Advanced Computing & Communication Systems March 2020 DOI: 10.1109/ICACCS48705.2020.9074352
    10. Mohammed Ismail. B, Dr. Mahaboob basha shaik, Dr. B. Eswara Reddy “A Hybrid Fractal and Binary Plane Image Compression” 21st International Conference on Advanced Computing and Communications (ADCOM 2015) September 2015 IIT Madras http://accsindia.org/adcom-2015-programme
    11. Mohammed Ismail .B, Dr. T. Bhaskara Reddy, Dr. B. Eswara Reddy “Spiral Architecture Based Hybrid Fractal Image Compression” IEEE 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)” December 2016 ISBN 978-1-5090-4697-3/16 DOI: 10.1109/ICEECCOT.2016.7955179 https://ieeexplore.ieee.org/document/7955179 
    12. Mohammed Ismail .B, Dr. Mahaboob basha shaik, Dr. B. Eswara Reddy “Improved Fractal Image Compression Using Range Block Size”  Proceedings of IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS)Nov 2015 ISBN978-1-4673-7437-8/15  DOI 10.1109/CGVIS.2015.7449938Publisher:IEEE,Pages:284–289 http://ieeexplore.ieee.org/document/7449938 
    13. Mohammed Ismail.B “Design and Development of active head restraint for whiplash protection” Proceedings of 7th international conference on recent engineering &Technology april 2017 Hyderabad ISBN:9788190476096 
    14. Mohammed Ismail.B “Design & Development of android based home monitoring system” Proceedings  of International conference on recent innovations in Science, Technology, Management and environment  at Indian Federation of United Nations Associations(IFUNA) New Delhi june 2016 ISBN: 978-81-931039-1-3 PP 249-259
    15. Mohammed Ismail.B, Md.Umair Quadri, Veluri Vasanth"Design and Development of Head Gesture based Control of Wheelchair", Proceedings of International conference on Research Advances in Engineering,Science and Information Technology(ICRAEIST-2015)DEC 2015 ISBN 978-93-85100-56-7 PP 43-49
    16. Mohammed Ismail.B, Aaquib Junaid,”Embedded Web Server for Remote Access of Industrial data through WSN” Proceedings of international conference PCIE Power, Control and Instrumentation Engineering Kochi –PCIE  Dec 2014, ISBN 978-981-09-5247-1, PP 340-346

    Number of academic projects guided

    UG : 30
    PG : 12

    Workshop Attend

    1. International conference on Transformations in Engineering Education organised by IUCEE at MREC Hyderabad Jan 2019.
    2. One week FDP on Advances in Deep Learning conducted by NIT Warangal June 2019.
    3. A Course on Pedagogy for Online and Blended Teaching-Learning Process conducted by IIT Bombay Nov 2017
    4. A Course on Foundation Program in ICT for Education organised by IIT Bombay Oct 2017
    5. A course on Educational Technology for Engineering Teachers  conducted by IIT Bombay A Course on Basic 3D animation using Blender conducted by IIT Bombay April 2016
    6. 2 week ISTE STTP on Technical communication conducted by IIT Bombay
    7. Two week ISTE Workshop on Control systems conducted by IIT Khargpur held under the National Mission on education through ICT(MHRD).
    8. Workshop On “System on Chip Design using ARM” Conducted under TEQIP at Osmania University.
    9. Matlab & Simulink Seminar conducted by Math works India Pvt Ltd Bangalore.

    Workshops/Seminars organized

    1. Coordinator for Winter School UGC HRDC Course at Kannur university
    2. Convener National Level STTP course on cyber physical systems at Kannur University.

    Workshops/Seminars conducted as Resource Persons

    1. Invited as resource person for UGC sponsored National conference at S.K University   Anantapur NSETCA 2015
    2. Delivered an expert lecture at Al Habeeb college of Engineering Chevella Hyderabad 
    3. Invited as resource person for Symposia Safa 2K8 at Safa college of Engineering Kurnool.

    Awards and Achivements

    1. International Adroit Young Scientist Award 2021 instituted by Green ThinkerZ international
    2. Distinguished Researcher Award 2019 by I2OR Research Organization.
    3. Best Researcher award 2017 by IRDP Group
    4. Best Paper award in international conference ICRAEIST-2015 Hyderabad.

    Administrative Responsibilities

    1. Head Dept. of Information Technology Kannur University Head Department of Information Technology Kannur University
    2. Chair Doctoral Research Committee Department of Information Technology Kannur University
    3. Chair Examinations Calicut University
    4. Ph.D. Adjudicator Calicut University, K L University
    5. Member Technical purchase Committee Kannur University
    6. Subject Expert, Kannur University Chair Department Academic Council Kannur university.

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  • Mr. Javad. Baig

    Assistant Professor

    Qualification : M.Tech
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  • Mr. Javad. Baig

    Assistant Professor

    M.Tech

    Educational Details

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  • Mrs. Nishitha K R

    Assistant Professor

    Qualification : M.Tech
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  • Mrs. Nishitha K R

    Assistant Professor

    M.Tech

    Educational Details

    Degree : B.E.
    Year :
    University :
    PG Degree : M.Tech
    Year :
    University :

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  • Ms. Mashitha Sulthana

    Assistant Professor

    Qualification : B.E, (M.Tech)
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  • Ms. Mashitha Sulthana

    Assistant Professor

    B.E, (M.Tech)

    mashitha_aiml@pace.edu.in
    Believe in learning lifestyle

    Educational Details

    Degree : B.E(CSE)
    Year : 2020
    University : VTU
    PG Degree : M. Tech (CSE)
    Year : 2023
    University : VTU

    Teaching Experience

    2

    Subjects teaching at Under Graduate level

    Data Structures and Application, Mastering Office, Objected oriented programming with java, principles of problem solving.

    Number of academic projects guided

    UG : 1

    Workshop Attend

    MACHINE LEARNING, IOT

    Other Related Info

    Good in technical talks

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  • Ms. Thameeza

    Assistant Professor

    Qualification : M.Tech
    read more
  • Ms. Thameeza

    Assistant Professor

    M.Tech

    thameezanaaz@gmail.com

    Educational Details

    Degree : B.E.
    Year : 2019
    University : VTU
    PG Degree : M.Tech
    Year : 2021
    University : VTU

    Teaching Experience

    1 year

    Industry Experience

    1 year

    Specialization PG

    Computer science

    Number of academic projects guided

    PG : 1

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  • Mr. Afsar Baig M

    Assistant Professor

    Qualification : M.TECH(CSE)
    read more
  • Mr. Afsar Baig M

    Assistant Professor

    M.TECH(CSE)

    mabready@gmail.com

    Educational Details

    Degree : B.E
    Year : 2008
    University : VTU
    PG Degree : M.TECH
    Year : 2013
    University : VTU

    Teaching Experience

    15 years

    Specialization PG

    CSE

    Number of academic projects guided

    UG : 16
    PG : 2

    Dismiss

  • Ms. Nazreen Aysha V M

    Assistant Professor

    Qualification : M.TECH (VLSI&ES)
    read more
  • Ms. Nazreen Aysha V M

    Assistant Professor

    M.TECH (VLSI&ES)

    nazreenaaysha1@gmail.com

    Educational Details

    Degree : B.E
    Year : 2019
    University : VTU
    PG Degree : M.TECH
    Year : 2022
    University : VTU
    Other Degree : DIPLOMA
    Year : 2016
    University : DTE

    Teaching Experience

    4 years

    Specialization PG

    ECE

    Other Specialization

    EEE

    Subjects teaching at Under Graduate level

    AI,OS,OS LAB, DAE LAB, SCR LAB

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