Dr. Salim G. Shaikh

       Personal Mail ID shaikhsg2@gmail.com, shaikhsg15@gmail.com.

Official mail ID :  hod.ai@aiktc.ac.in 

      salim.shaikh@aiktc.ac.in 

Mobile No:- 9960726716

HoD, CSE (AIML) Department.  

Associate Professor, Department of Computer Engineering,

Anjuman-I-Islam’s Kalsekar Technical Campus(AIKTC), New Panvel.

                   Google Scholar ID:  XqEv2zkAAAAJ

Web of Science ResearcherID: ACM-9200-2022

Scopus ID: 57671794000

ORCID ID:-  0000-0002-0768-1158

Vidwan-ID : 517683

Social Media Links:

ACADEMIC PROFILE:

Dr. Salim G. Shaikh is a distinguished academician and researcher with over 18 years of experience in the field of Computer Engineering. He holds a Ph.D. in Computer Science & Engineering from Amity University, Jaipur, a Master of Engineering in Computer Engineering from Savitribai Phule Pune University, and a Bachelor of Engineering in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University. Currently serving as Associate Professor and Head of the CSE (AIML) Department at Anjuman-I-Islam’s Kalsekar Technical Campus, He has demonstrated academic leadership and a deep commitment to innovation in education and research. He has published extensively in reputed SCI and Scopus-indexed journals and conferences, with notable contributions in disease prediction, artificial intelligence, deep learning, nature-inspired computing, and healthcare recommender systems. He has also worked on a design patent titled “Denoising Medical Images.” Also, he is the author of two internationally published books: “Software for Bank Lead Management System: LMS Case Study” (ISBN-10: 6206845931, ISBN-13: 978-6206845935) and “Security in Wireless Channel of RFID System” (ISBN-13: 978-3-659-22939-8). Dr. Salim Shaikh continues to advance engineering education through his research, publications, and dedication to student mentorship.

WORK EXPERIENCE:

• Presently associated with AIKTC, School of Engineering and Technology, New Panvel  as an  HOD, CSE (AIML) Department & Associate Professor in Computer Engineering Department (01stJuly 2022 to till date).
• Overall 18+ Years of Experience.
• Recognized UGC Approved UG teacher of Savitribai Phule Pune University(SPPU) from 2010 -11 and 2016 to 2022.
• Recognized  UGC Approved UG teacher of University of Mumbai (UoM)  from 2022 to till date.

EDUCATIONAL QUALIFICATION:

• Ph.D. in Computer Science & Engineering  from Amity School of Engineering & Technology (ASET), Amity University, Jaipur on research problem statement “Design the Recommender System for Vector-Borne Disease by using Machine Learning technique”- Ph.D awarded on 16th May 2024.

• M.E. in Computer Engineering from Sinhgad Institute of  Technology, Savitribai Phule Pune University, Pune in 2013 with CGPA 7.0 ( First Class)..

• B.E. in Information Technology (I,T) from Aditya  Engineering College, Dr. Babasaheb Ambedkar Marathwada University (BAMU), Aurangabad in 2007 with 73.95% (First Class With Distinction).

• HSC from R.P. Junior College, Pune Board,  Kaij in 2003 with 65.68% ( First Class).

• SSC from R.P. School, Pune Board,  Kaij in 2001 with 67.86% ( First Class).

SUBJECT TAUGHT:                                                                                                                         

With 18+ years of teaching experience in the computer department, I have taught various subjects, including Information Retrieval, Operating System, Computer,Networks, Data Structure, Java Programming, C, C++, Principles of Programming Languages, Data Communication and Wireless Sensor Networks, Computer Organization and Architecture.

RESPONSIBILITIES:       

•  Head of Department (HoD) CSE (AIML) Dept: As a Head of department, ensuring smooth departmental operations.
• COURSE DEVELOPMENT:- Designing comprehensive syllabi and instructional materials for Value Added Courses Like Machine Learning, NLP and Deep Learning of Micromaster Program.
• DEPARTMENTAL ACTIVITY COORDINATION: Organizing and managing departmental events, workshops, and seminars.
• RESEARCH SUPERVISION: Supervising graduate research projects, ensuring rigorous academic standards.
• ACADEMIC ADVISING: Mentoring students on academic and career goals, providing guidance on research projects, and supporting their overall development.
• INSTITUTE INNOVATION COUNCIL MEMBER: Contributing to the promotion of innovative projects and entrepreneurship among students.
• NBA CRITERION  COORDINATION: Coordinating accreditation activities related to Criterion 5, ensuring compliance with NBA standards.
• NAAC CRITERION COORDINATION: Overseeing accreditation activities for Criterion 3, ensuring adherence to NAAC guidelines.
• ADMISSION COORDINATION: Managing and overseeing the admission process for prospective students, ensuring compliance with institutional policies.
• VALUE-ADDED COURSES COORDINATION: Organizing and supervising additional courses to enhance students' skills and employability.

BOOK PUBLISHED:

Amazon Web Link Books: https://www.amazon.com.au/Software-Bank-Lead-Management-System/dp/6206845931

https://www.amazon.in/Secure-Access-System-Shaikh-Salim/dp/3659229393

PATENT

• Design Patent has been registered as of the number and date given above in class 24-01 in respect of the application of such design to AN ELECTRONIC DEVICE FOR MEDICAL IMAGE DENOISING in the name of Dr. Salim G. Shaikh, dated on 27/10/2024, and Design No. 435834-001

https://drive.google.com/file/d/15MWNVbW2_ry_J--ibde7yK3MTBRBlRqq/view?usp=sharing

PUBLICATIONS:  SCI JOURNALS

• Shaikh, M.S.G., SureshKumar, B. and Narang, G., 2023. Development of optimized ensemble classifier for dengue fever prediction and recommendation system. Biomedical Signal Processing and Control, 85, p.104809.

DOI: 10.1016/j.bspc.2023.104809    ISSN: 1746-8094

URL  http://dx.doi.org/10.1016/j.bspc.2023.104809

CONTRIBUTORS: Mr. Salim G. Shaikh; Dr. B. SureshKumar; Dr.Geetika Narang.

PUBLICATIONS:  SCOPUS JOURNALS

• A. Brahme, S. Shaikh, S. Lokare, S. Kulkarni, S. Mundhe, A. A. Jadhav, and N. Pachpor, "Association rule mining and information retrieval using stemming and text mining techniques," Journal of Information Systems Engineering and Management, vol. 10, no. 18s, pp. 622–628, Mar. 2025. doi: 10.52783/jisem.v10i18s.2958.
• Pachpor, N. N., Kumar, B. S., Prasad, P. S., & Shaikh, S. G. (2024). Intelligent rainfall forecasting model: heuristic assisted adaptive deep temporal convolutional network with optimal feature selection. International Journal of Intelligent Information and Database Systems, 16(4), 345-384.
• Shaikh, S.G., Kumar, B.S., Narang, G. and Pachpor, N.N., 2024. Original Research Article Hybrid machine learning method for classification and recommendation of vector-borne disease. Journal of Autonomous Intelligence, 7(2).

• Pachpor, N.N., Kumar, B.S., Prasad, P.S. and Shaikh, S.G., 2024. A Hybrid Feature Selection Gradient Recurrent Neural Network (HFSGRNN) Model for Rainfall Prediction in India Regions. International Journal of Intelligent Engineering & Systems, 17(2).

• Shaikh, S.G., Kumar, B.S., Narang, G. and Pachpor, N.N., 2023. Diagnosis of Vector Borne Disease using Various Machine Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), pp.517-526.

• Shaikh, S.G., Suresh Kumar, B. and Narang, G., 2022. Recommender system for health care analysis using machine learning technique: A review. Theoretical Issues in Ergonomics Science, 23(5), pp.613-642.

PUBLICATIONS : SCOPUS-INDEXED CONFERENCE PROCEEDINGS

• Deshmukh, J., Shah, S., Shaikh, A., Bargir, A., & Shaikh, S. (2024, December). G2OCR: Integrating Speech Recognition and Optical Character Recognition (OCR) for Automated Transcription of Gujarati Audio-Visual Content. In 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS) (pp. 768-771). IEEE.
• Kalokhe, Saqlain, Fahad Khan, Salim Shaikh, and Nusrat Jahan. "Exploring Medical Diagnosis Using Vision Transformer And CNN." In 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI), pp. 1-6. IEEE, 2024.
• Kalokhe, S., Khan, F., Shaikh, A., Ansari, E., Shaikh, S.G. and Jahan, N., 2024, March. Computer Vision Advancement with Vision Transformers: A Comprehensive Review. In 2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (pp. 447-453). IEEE.
• Shaikh, S.G., Kumar, B.S., Narang, G. and Pachpor, N.N., 2023, November. Several Classification and Recommendations Methods Used in Dengue Fever Prediction System. In 2023 International Conference on Integration of Computational Intelligent System (ICICIS) (pp. 1-6). IEEE.

• Shaikh, S.G., Suresh Kumar, B. and Narang, G., 2022. Several Categories of the Classification and Recommendation Models for Dengue Disease: A Review. Intelligent Sustainable Systems: Proceedings of ICISS 2022, pp.369-379.

• Pachpor, N.N., Suresh Kumar, B., Parsad, P.S. and Shaikh, S.G., 2022. Different Nature-Inspired Optimization Models Using Heavy Rainfall Prediction: A Review. Intelligent Sustainable Systems: Proceedings of ICISS 2022, pp.761-775.

PUBLICATIONS :UGC CARE, PEER REVIEWED JOURNALS & CONFERENCES

• Shaikh, S., Pachpor, N., & Ansari, M. (2024). Enhanced Fake News Detection with the aid of Improved Spider Monkey Optimization-based optimal Feature Selection and Deep Neural Network. IJCRT Journal| UGC Approved Journal| Scopus Indexed Journal Norms, 14(4), 1-7.

• Pachpor, N., Shaikh, S., Misal, S., & Brahme, A. (2024). Optimal Keyword Selection by Hybrid Optimization with Itemset Mining for Text Summarization in Biomedical Sector. IJCRT Journal| UGC Approved Journal| Scopus Indexed Journal Norms, 14(4), 1-8.

• Hammad A. Siddiqui, Arshad A. Khan, Dilshad J. Ansari, Umar F. Siddique, Salim G. Shaikh,, Several Classification Methods for Personalized News Recommendation System,Technische Sicherheit(Technical Security),Volume 24 Issue 4 2024,PAGE NO: 14-24, ISSN NO: 1434-9728 DOI:22.8342.TSJ.2024.V24.4.01374

• Mukadam, I.M., Sajjad, A.M., Shahnawaz, S.F. and Shaikh, S.G.,2023. ATTENDANCE SYSTEM USING FACE RECOGNITION AND RASPBERRY PI–REVIEW. International Journal of IOT and Data Science (IJIDS), Volume 1, Issue 1, January-December 2023, pp. 1-6, Article ID: IJIDS_1_1_001 Available online at https://iaeme.com/Home/issue/IJIDS?Volume=1&Issue=1 DOI: DOI 10.17605/OSF.IO/T6DRZ.

• Khan Rehan, Mullick Touhid, Sayyed Ali, Shaikh Danish and Prof. Salim G. Shaikh, Real Time Sign Language Translator for Video Conferencing Platforms, International Journal of Artificial Intelligence & Machine Learning (IJAIML), 2(1), 2023, pp. 7-22. https://iaeme.com/Home/issue/IJAIML?Volume=2&Issue=1.

• Shantanu Pacharkar, Pavan Kulkarni, Yash Mishra, S.G.Shaikh” Predicting Stock Market Investment Using Sentiment Analysis” International Journal of Advanced Research in Computer and Communication Engineering Vol. 7, Issue 3, March 2018, ISSN (Online) 2278-1021 ISSN (Print) 2319-5940.

• Sagar Dhumal, Niranjan Kubmbhar,Akshay Tak, Salim G. Shaikh, “Wearable health Monitoring System for babies” International Journal of Computer Engineering and Technology Volume 7, issue 2,(ISSN: 0976-6367).March-April 2016.

• Pooja Prasad, Reshma Charbhe, Dinesh More, Salim G. Shaikh, “An Effective Study on Database Intrusion Using Log Mining” International Journal of Advance Engineering and Research Development  Volume 3, issue 3,(ISSN: 2348-4470).March-April 2016.

• Naveen Yadav, Kissley Anand, Karan Arora, S.G.Shaikh “A Survey on database Querying Tools and Techniques” International conference on Computational Intellegence (ICCI 15) ) organized by Department of computer science & engineering, Anna university, Tiruchrappali, ISBN-9788191021202, 7th and 8th March 2015

• Hemlata jadhav, Nitish Dhotre, Salim G. Shaikh, “Preserving Location Privacy in Geosocial Application” Global Journal of Engineering Science and Research (ISSN: 2348-8034).March 2015.
• Santosh S Deshmukh, S.G.Shaikh, Nishant N Pachpor “Cloud Computing Storage and Security” International Conference on Advances in Enginerring and Technology (ICAET-2013) organized by SCMR,SAR, SKNSITS lonavala, ISSN 0976 – 6693, 15th and 17th may 2013.

• Santosh S Deshmukh, S.G. Shaikh, Nishant N Pachpor “Cloud Computing Storage and Security” National Conference on Recent Trends in Engineering  organized by D.N.Patil College of Engineering, shahada,  ISSN -1793-8244, 1st and 2nd March 2013.

• Salim G. Shaikh, Shankar Nawale “Secure Access of RFID System” International Journal of Scientific & Engineering Research- Volume 3, Issue 8- ISSN 2229-5518, August-2012.

• S.G.Shaikh, Shankar Nawale “Security of RFID System” C-PGCON National Conference organized by ACM in University of Pune and SCOE Vadgaon, 21st and 22nd April – 2012.  

SUMMARY OF PHD DISSERTATION:

Vector-borne diseases (VBD) pose a growing threat in India, complicating public health efforts despite widespread awareness of their societal impact. A significant portion of the Indian population is affected annually by these diseases, with varying living standards and geographical diversity further complicating early management. This research focuses on analyzing VBD symptoms and the influence of clinical test criteria on these symptoms, targeting different types of VBD due to their increasing prevalence.

The primary objective is to develop a model for disease prediction and recommendations to patients about the severity of the disease. This includes a Modified Support Vector Machine (mSVM) and a Hybrid Machine Learning (HML) prediction model for early detection and classification of VBD stages. The model's development involves five steps: Data Conversion, Data Pre-processing (including cleaning and eliminating irrelevant data), Feature Extraction and Normalization, Dataset Partitioning (70:30 ratio for training and testing), and Model Construction and Prediction.

The proposed mSVM and HML models have been rigorously tested and validated, achieving notable accuracies of 98.15% and 98.52%, respectively, surpassing other classifiers. For recommendations, reinforcement learning techniques, including Q-learning and RNN similarity functions, were employed to assess VBD severity, highlighting the model's potential as a breakthrough in early VBD prediction and recommendation.

PERSONAL DETAILS:

I hereby declare that the information given above is correct as per my knowledge and believe

   DATE:      /     /                                                                                (Dr. Salim Gulab Shaikh)