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Prof. Anjali Diwan

PhD (CSE), M.Tech, B.E.

Email: anjali.diwan@gsfcuniversity.ac.in

Prof. (Dr.) Anjali Diwan is a seasoned academic leader, researcher, and Professor with over 22 years of experience spanning academia, research, and the technology domain. She currently serves as Dean & Professor, School of Information and Communication Technology (SoICT), GSFC University, providing academic and strategic leadership across Computer Science, Computer Applications, and Electronics & Communication Engineering. Her research expertise lies in Computer Vision, Multimedia Forensics, Deepfake Detection, and AI-driven security applications. She has an active research portfolio comprising 19 patents, including 6 granted and 13 published patents, and 76+ research publications, along with two authored books. Her work focuses on developing practical and responsible AI solutions for emerging technological and societal challenges.'

She is also actively engaged with the IEEE ecosystem at the Global, Region 10 (Asia-Pacific), and Gujarat Section levels, contributing to professional leadership, women-in-engineering initiatives, research and technology communities, and international academic and professional programmes.

Her broader professional vision is to strengthen research and innovation, foster international collaborations, develop future-ready academic ecosystems, and bridge the gap between academia, industry, and emerging technologies through impactful research and mentorship.

Ph.D. in Computer Science, DA-IICT  (Thesis: Copy-Move Tampering: Detection and Localization in Digital Images.)
M.Tech. (Communication Engineering)
B.E. (Electronics and Telecommunication)

Applications of Computer Vision, Image Processing, Multimedia Forensics, Cyber and Image Security, Medical Imaging, Pattern Recognition, and Technologies for Humanitarian Challenges.

Peer-Reviewed Publications (Journal)
Last five years
1. Harsora, Riddhi V., Vaghela, Krunal, and Diwan, Anjali, An Optimized Dual-Stream Framework for Deepfake Detection Using Advanced Detection and Classification Architectures. Signal Processing: Image Communication,2026, Elsevier. doi.org/10.1016/j.image.2026.117642, Q2, SCI, IF 2.1
2. Ali, M.E., Diwan, A. & Jadeja, R. Binary Spam Detection Using GRPO and LoRA on Qwen 2.5-3B-Instruct. Arab J Sci Eng (2026). https://doi.org/10.1007/s13369-026-11412-w. Q2, SCI, IF 3.1
3. Khera, V., Sunil, R., Mer, P., Kointarangkul, N., & Diwan, A. (2026). “Towards adaptive and continuous offensive security: A comprehensive survey of AI-driven threat validation techniques,” in Array, Volume 30, 2026,doi.org/10.1016/j.array.2026.100843. Q1, SCI, IF 4.5
4. Diwan, A. and Roy, A. K. (2025), “Detection and localization of copy-move tampering along with adversarial attack in a digital image,” in Discover Computing, 28(1), p.136. doi: doi.org/10.1007/s10791025-09658-3. Q2, SCI, IF 2.1.
5. Reshma S., Parita M, Anjali Diwan, Rajesh Mahadeva and Anuj Sharma (2025), “Exploring autonomous methods for deepfake detection: A detailed survey on techniques and evaluation,” in Heliyon. Volume 11, Issue 3. doi: /doi.org/10.1016/j.heliyon.2025.e42273. Q1, SCI, IF 3.6.
6. Diwan, A., Dixit, S., Subbiah, R., & Mahadeva, R. (2024). “Systematic analysis of video tampering and detection techniques,” in Cogent Engineering, 11(1). doi: doi.org/10.1080/23311916.2024.2424466. Q2, SCI, IF 3.
7. Diwan, A., Sunil, R., Mer, P., Mahadeva, R. and Patole, S. (2024), “Advancements in Emotion Classification via Facial and Body Gesture Analysis: A Survey,” in Expert Systems, doi: doi.org/10.1111/exsy.13759. Q2, SCI, IF 3.
8. Rajesh Mahadeva, Mahendra Kumar,Anjali Diwan, Gaurav Manik, Saurav Dixit, Gobind Das, Vinay Gupta, Anuj Sharma, (2024)“Improvised grey wolf optimizer assisted artificial neural network (IGWOANN) predictive models to accurately predict the permeate flux of desalination plants,” in Heliyon, Volume 10, Issue 13, doi: org/10.1016/j.heliyon.2024.e34132. Q1, SCI, IF 3.9.
9. P. Chauhan, M. Lunagaria, D. Verma, K. Vaghela, A. Diwan, S. P. Patole and R. Mahadeva (2024),“Analyzing Brain Tumor Classification Techniques: A Comprehensive Survey,” in IEEE Access, vol. 12, pp. 136389-136407, 2024, doi: 10.1109/ACCESS.2024.3460380. Q1, SCI, IF 3.9.
10. A. Diwan, R. Mahadeva and V. Gupta (2024),“Advancing Copy-Move Manipulation Detection in Complex Image Scenarios Through Multiscale Detector,” in IEEE Access, doi: 10.1109/ACCESS.2024.3397466. Q1, SCI, IF 3.9.
11. A. Diwan and A. Roy, (2024) “CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection,” in IEEE Access, doi: 10.1109/ACCESS.2024.3380460. Q1, SCI, IF 3.9.
12. Diwan, A., Sonkar, U, (2023) “Visualizing the truth: a survey of multimedia forensic analysis”. Multimed Tools Appl (2023), https://doi.org/10.1007/s11042-023-17475-3. Q1, SCI, IF 3.6
13. A. Diwan, D. Kumar, R. Mahadeva, H. C. S. Perera and J. Alawatugoda, (2023)“Unveiling Copy-Move Forgeries: Enhancing Detection with SuperPoint Keypoint Architecture,” in IEEE Access, doi: 10.1109/ACCESS.2023.3304728. Q1, SCI, IF 3.9.
14. M. Ali, A. Diwan, and D. Kumar, (2024) “Attendance system optimization through deep learning face recognition,” International Journal of Computing and Digital Systems, vol.15, no. 1, pp. 1527-1540, 2024. VOLUME 4, 2016 19. Scopus, IF 1.6.
15. Anjali Diwan, Rajat Sharma, Anil K. Roy, and Suman K. Mitra, (2021) “Keypoint-based comprehensive copy-move forgery detection,” IET Image Processing, vol. 15, no. 6, pp. 1298-1309, 2021. DOI:10.1049/ipr2.12105. Q2, SCI, IF 2.2.
16. Anjali Diwan, Rajat Sharma, Anil K. Roy, and Suman K. Mitra, “Digital Image Tampering detection using sift Key-Point,” IJEAT, vol. 9, no. 3, ISSN: 2249-8958 (Online), February 2020. Scopus
Books and Book Chapters
SCI Indexed Book and Book chapters: 14, SCOPUS Indexed Book Chapters 5 Books
1. Thanki, R. M., Borisagar, K. R., and Diwan, A. (2025). (SCI Indexed) Machine Learning for Wireless Communication. Springer Nature Switzerland, Cham. ISBN: 978-3-031-94117-7. (SCI)
2. Shah, S., Thanki, R. M., and Diwan, A. (2024). Artificial Intelligence for Early Detection and Diagnosis of Cervical Cancer. Springer Nature Switzerland, Cham. ISBN: 978-3-031-69665-7. (SCI)
Book Chapters
1. Kag, H., Diwan, A., Kumar, D., and Bilal, G. (2026). An Overview of Breast Cancer Classification on Mammogram Images Using Deep Learning. Proceedings of the International Conference on Innovations in Data Science (ICIDS 2024), Lecture Notes in Networks and Systems, Vol. 1367. Springer, Singapore.
doi:10.1007/978-981-96-6329-3_21. Scopus.
2. Parui, S., and Diwan, A. (2025) Unlocking the Mind: Artificial Intelligence Powered Insights into Brain Signals and Human Behavior. In Intelligent Technologies: Concepts, Applications, and Future Directions, Vol. 4, pp. 215–234. Springer Nature Singapore, Singapore. ISBN: 978-981-96-5585-4. Scopus.
3. Bhujabal, B., Diwan, A., Tomar, P., Patra, R., and Pandey, P. (2025). Robotic Process Automation in End-to-End HR Processes: A Scoping Review. In Robotic Process Automation in End-to-End HR Processes, pp. 1–34. IGI Global. doi:10.4018/979-8-3373-1005-3.ch001. Scopus.
4. Bhujabal, B., and Diwan, A. (2025). Robotic Process Automation in End-to-End HR Processes: A Scoping Review of the Current State of Affairs and Future Predictions. SSRN Scholarly Paper, January 10, 2025. doi:10.2139/ssrn.5094761. Scopus
5. Diwan, A., et al. (2020). Neighborhood Projection Embedding Based Passive Copy-Move Tampering Detection and Localization. In Computer Vision, Pattern Recognition, Image Processing, and Graphics, pp. 387–396. Scopus.

Selected Peer-Reviewed Publications (Conference)
1. H. Gorasia, S. Wanglen and A. Diwan,“Automated Diagnosis of Lung Diseases Linked to Smoking via CNNs and SMOTE-Enhanced Imaging Data,” 2025 IEEE 4th Conference on Applied Signal Processing (ASPCON), Kolkata, India, 2025, pp. 260-265, doi: 10.1109/ASPCON66877.2025.11389330.
2. S. Bhatia, P. Pareek and A. Diwan, “Adversarial Robustness in Autonomous Vehicles: Detecting and Mitigating Adversarial Attacks on Sensor Data,” 2025 IEEE 4th Conference on Applied Signal Processing (ASPCON), Kolkata, India, 2025, pp. 24-29, doi: 10.1109/ASPCON66877.2025.11389228.
3. A. Bambharoliya, K. Satani, S. Parui and A. Diwan,“Skin Cancer Classification using Advanced Deep Learning Techniques,” 2025 2nd International Conference on Integration of Computational Intelligent System (ICICIS), Lohegaon, India, 2025, pp. 1-5, doi: 10.1109/ICICIS65613.2025.11371058.
4. R. Sunil, P. Mer and A. Diwan, "A Robust Approach to Fake News Detection Using Dual Transformer Embeddings and Ensemble Classifiers," 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT), Goa, India, 2025, pp. 1-8, doi: 10.1109/ICONAT66879.2025.11362905.
5. P. Mer, R. Sunil and A. Diwan, "Wavefake-Based Audio Deepfake Detection Using Spectrograms and Convolutional Neural Networks," 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT), Goa, India, 2025, pp. 1-7, doi: 10.1109/ICONAT66879.2025.11362432.
6. P. Khakhariya, N. Kanjariya and A. Diwan,“Privacy-Aware Multi-Class Intrusion Detection Using Federated Neural Encoding and Robust Feature Distillation,” 2025 IEEE International Smart Cities Conference (ISC2), Patras, Greece, 2025, pp. 1-6, doi: 10.1109/ISC266238.2025.11293271.
7. F. G. Tola, K. Elvis Khorem Blitti, A. Diwan, R. Sunil and T. W. Benissan-Adodjissi (2025), “Utilizing Inverted Residual Blocks in Deep Learning Models for ALL Classification,” 2025 IEEE Applied Sensing Conference (APSCON), Hyderabad, India, 2025, pp. 323-326, doi: 10.1109/APSCON63569.2025.11144054.
8. Sunil, R., Mer, P., Diwan, A. and Parmar, P. (2025), “Deepfake Detection in Digital Images Using Data Augmentation and Layer Unfreezing Across Various Deep Learning Models,” in Proceedings of TENCON 2024 – IEEE Region 10 Conference, pp. 1966–1970. IEEE. doi: 10.1109/TEN-
CON61640.2024.11049067.
9. Bambharoliya, A., Diwan, A. and Mahadeva, R. (2025), “Road Sign Detection System Utilizing Residual Networks,” in Uddin, M.S. and Bansal, J.C. (eds), Proceedings of International Joint Conference on Advances in Computational Intelligence, pp. 155–167. Springer Nature Singapore.
10. Bhatt, D.A., Rajpara, H., Diwan, A. and Mahadeva, R. (2025), “Real-Time Facial Emotion Recognition Through Neural Networks,” in Artificial Intelligence Based Smart and Secured Applications, Springer Nature Switzerland, Cham, pp. 379–396.
11. Parui, S., Mitra, S. and Diwan, A. (2025), “Advancing EEG-Based Emotion Detection with Fusion of F-Connectivity and EMD Features and Ensemble Classification,” in Palaiahnakote, S., Schuckers, S., Ogier, J.-M., Bhattacharya, P., Pal, U. and Bhattacharya, S. (eds), Pattern Recognition. ICPR 2024
International Workshops and Challenges, Springer Nature, Cham, pp. 265–283. doi: 10.1007/978-3031-87657-8_19.
12. Blitti, K.E.K., Tola, F.G., Sunil, R. and Diwan, A. (2024), “Enhancing Deepfake Detection with Ensemble Learning: A Study on Celeb DF Dataset,”Proceedings of TENCON 2024 — IEEE Region 10 Conference (TENCON), pp. 319–322. doi: 10.1109/TENCON61640.2024.10903037.
13. Parui, S., Podder, A., Shuvo, A.N.F., Gourisaria, M. and Diwan, A. (2024), “Enhanced Techniques for Multi-Emotion Detection from EEG Signals: Focus on Channel and Feature Selection,” 2024 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), pp. 264–269. doi: 10.1109/BECITHCON64160.2024.10962735.
14. R. Kakadiya, T. Khan, A. Diwan and R. Mahadeva, “Transformer Models for Predicting Bank Loan Defaults a Next-Generation Risk Management,” 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), Hamburg, Germany, 2024, pp. 26-31, doi: 10.1109/ICCCMLA63077.2024.10871798.
15. A. Bambharoliya, A. Diwan, S. Parui and R. Mahadeva, “Advanced Road Sign Detection System Utilizing Convolutional Neural Networks,” 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2024, pp. 1-6, doi: 10.1109/ICIICS63763.2024.10860157.
16. K. E. K. Blitti, F. G. Tola, A. Diwan and R. Mahadeva, “Towards Robust Pneumonia Detection: An Ensemble Model Approach,” 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-5, doi: 10.1109/TENSYMP61132.2024.10752285.
17. F. G. Tola, K. E. K. Blitti, A. Diwan and R. Mahadeva, “Automated Wheat Rust Disease Classification Using Convolutional Neural Networks With Transfer Learning,” 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-6, doi: 10.1109/TENSYMP61132.2024.10752155.
18. R. Kakadiya, T. Khan, A. Diwan and R. Mahadeva, “Future of Banking Security: Using Neural Networks to Predict and Prevent Loan Defaults,” 2024 IEEE Region 10 Symposium (TENSYMP), New Delhi, India, 2024, pp. 1-7, doi: 10.1109/TENSYMP61132.2024.10752121.
19. K. E. K. Blitti, F. G. Tola, P. Wangdi, D. Kumar and A. Diwan,“Heart Sounds Classification Using Frequency Features with Deep Learning Approaches,” 2024 IEEE Applied Sensing Conference (APSCON), Goa, India, 2024, pp. 1-4, doi: 10.1109/APSCON60364.2024.10465862.
20. R. Ramani, D. Trivedi, J. Talaviya, A. Diwan and J. C. D. Cruz, “K-Nearest Neighbors in Cardiology: A Promising Tool for Heart Disease Prediction,” 2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Coron, Palawan, Philippines, 2023, pp. 1-6, doi: 10.1109/HNICEM60674.2023.10589264.
21. P. Parmar, A. Diwan and M. Mohan, “Advancements in Image Forgery Detection: A Comprehensive Survey,” 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 41-45, doi: 10.1109/ICIIP61524.2023.10537767.
22. R. Sunil, P. Mer and A. Diwan, "Autonomous Detection and Evaluation of Deepfakes: A Comprehensive Study,” 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India, 2023, pp. 35-40, doi: 10.1109/ICIIP61524.2023.10537789.
23. J. Talaviya, D. Trivedi, R. Ramani, A. Diwan, R. Mahadeva and R. Mahadeva,“A Data-Driven Approach to Cardiac Health: Machine Learning for Heart Disease Prediction,”2023 IEEE Technology & Engineering Management Conference - Asia Pacific (TEMSCON-ASPAC), Bengaluru, India, 2023, pp. 1-7, doi: 10.1109/TEMSCON-ASPAC59527.2023.10531380.
24. P. Mer, R. Sunil and A. Diwan, “From Traditional to Deep: A Survey of Image Forgery Detection Techniques,” 2023 IEEE 3rd Applied Signal Processing Conference (ASPCON), India, 2023, pp. 103108, doi: 10.1109/ASPCON59071.2023.10396311.
25. D. Trivedi, J. Talaviya, R. Ramani and A. Diwan, "A Comparative Evaluation of Machine Learning Techniques for Data-Driven Heart Disease Prediction,” TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 1255-1260, doi: 10.1109/TENCON58879.2023.10322472.
26. D. Trivedi, S. Munshi, A. Diwan and S. Shah, “Enhancing Lung Cancer Prediction through Machine Learning: A Data-Driven Approach,” 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, 2023, pp. 1150-1155, doi: 10.1109/R10-HTC57504.2023.10461923.
27. R. Verma and A. Diwan, “Movie Recommendation System by Using Collaborative Filtering and Louvain Algorithm,” 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC), Rajkot, India, 2023, pp. 1009-1015, doi: 10.1109/R10-HTC57504.2023.10461810.
28. Anjali Diwan, Anil K. Roy and Suman K. Mitra, “Locality Preserving Projection Based Multiple Copy-Paste Forgery Detection,” 2020 IEEE Applied Signal Processing Conference (ASPCON), Kolkata, 2020, pp. 158-162, doi: 10.1109/ASPCON49795.2020.9276674.
29. Anjali Diwan, Purvi Koringa, Anil K. Roy, and Suman K. Mitra (2019), “Neighborhood Projection Embedding Based Passive Copy-Move Tampering Detection and Localization”, presented in the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics
(NCVPRIPG 2019), Hubballi (Karnataka), 22-24 December 2019.
30. Anjali Diwan, Vinod Mall, Anil K Roy, and Suman K Mitra (2019), “Detection and Localization of Copy-move Tampering Using Features of Locality Preserving Projection”, presented in the 5th International Conference on Image Information Processing (ICIIP 2019), Jaypee University of Information
Technology, Shimla, November 15-17, 2019.
31. Anjali Diwan, Bhargave Ravat, “Robust Speech Recognition Using MFCC-FFT-GUI Approach” in National Conference on Recent Trends In Engineering and Technology (NCRTET-2012), organized by Gujarat Technological University and Kadi Sarva Vishwavidyalaya, Gandhinagar.
32. Anjali Diwan, Bhaskar Thakkar, Chintan Modi, “Design of Fingerprint Acquisition System Using LPC2148 ARM Microcontroller,” International Conference on Signals, Systems & Automation (ICSSA-11), pp. 252-256, 24-25 January, India

Academic Experience (20+ years)

1. Dean and Professor, GSFC University, Vadodara, June 2026 to date.
2. Associate Professor, Marwadi University, January 2023 to June 2026.
3. Program Head, CSE Department, Marwadi University, August 2024 to October 2025
4. Assistant Professor, Shri Shankaracharya Technical Campus, Bhilai, April 2022 to December 2022.
5. Adjunct Faculty, Marwadi University, Rajkot, January 2021 to October 2021 and July 2022 to October 2022.
6. Teaching Assistant, DA-IICT, Gandhinagar, January 2016 to June 2020.
7. Head of Department, An additional charge of the Department of Information Communication Technol-
ogy (I.C.T.), M.B.I.C.T. (Gujarat Technological University), Vallabh Vidyanagar, Gujarat, February 2015 to January 2016.
8. Assistant Professor, M.B.I.C.T. (Gujarat Technological University), Vallabh Vidyanagar, Gujarat, July 2011 to January 2016.
9. Assistant Professor, Birla Vishwakarma Mahavidyalaya (B.V.M), Sardar Patel University, Vallabh Vidyanagar, Gujarat, May 2007 to June 2011.
10. Lecturer, G H Patel College of Engineering and Technology (G.C.E.T.) Sardar Patel University, Vallabh Vidyanagar, Gujarat, July 2006 to April 2007.

Industrial Experience (2 years)
1. Corporate Trainer, System Logic Solutions, Bengaluru, January 2004-December 2005

Startup Mentor
DeepQuantica LLP (Company Incorporated )
https://www.deepquantica.com/
Mentoring the founding team on strategic decision-making, product development, and market positioning in the AI and data science domain. Providing guidance on startup growth strategies, technical validation, and investor readiness. Supporting roadmap planning for scalable solutions in deep learning, machine learning, and quantitative analytics. Advising on intellectual property, funding opportunities, and partnerships relevant to emerging technology ventures.

Intellectual Property Total Patents: 19 (6 Granted, 13 Accepted)

1. Patent granted.Titled “Real-Time Deepfake Audio Detection System”, Dev Dubbal, Kevin Sureja, Anjali Diwan, R. B. Jadeja (202321089685).
2. Patent granted. Titled “Video Surveillance System”, Dhruv Trivedi, Jeel Talaviya, Ronish Ramani, Anjali Diwan, R.B. Jadeja (202321088541).
3. Patent granted. Titled “Harmonizing Computer Graphics and Learning-Based Approaches for Face Manipulation Detection”, Kokou Elvis Khorem Blittt, Fitsum Getachw Tola, Anjali Diwan, R.B. Jadeja (202321088540).
4. Patent granted. Titled“System and method for automatic copy-move forgery detection in intricate image contexts using VGG16”, Parita Mer, Reshma Sunil, Anjali Diwan, R.B. Jadeja (202321088539).
5. Patent granted. Titled “Neural network defense mechanisms employing gradient obfuscation against white-box intrusions”, Kunal Shah, Priyanshi Ajagiya, Mitanshu Vadnagara, Parth Parmar, Anjali Diwan (202421033180).
6. Patent granted. Titled “Machine learning deployment through adversarial domain adaptation methods”, Vency Khunt, Kashish Mangtani, Jash Karathia, Parth Parmar, Anjali Diwan (202421033384)
 

Professional Honors
1. Member, IEEE Eta Kappa Nu (HKN) Honor Society.
Awards
1. Conference travel grant, 2023, from IEEE WIE headquarters, 2023.
2. Best poster award in the National Science Symposium at Marwadi University, 2023.
3. IEEE Gujarat Section Appreciation Award, 2021.
4. IEEE Gujarat Section Best Student Branch Counselor Award, 2016

Editorial Role
1. Associate Editor, IEEE Data Descriptions.

Reviewer for International Journals (Selected)
1. IEEE Transactions on Dependable and Secure Computing.
2. IEEE Transactions on Circuits and Systems for Video Technology.
3. IEEE Transactions on Consumer Electronics.
4. IEEE Transactions on Multimedia.
5. IEEE Access.
6. Information Processing & Management, Elsevier.
7. PLOS ONE.
8. Artificial Intelligence Review, Springer.
9. International Journal of Machine Learning and Cybernetics, Springer.
10. International Journal of Multimedia Information Retrieval, Springer.
11. Discover Computing, Springer Nature.
12. Cluster Computing, Springer Nature.
13. The Visual Computer, Springer Nature.
14. Signal, Image and Video Processing, Springer.
15. Iran Journal of Computer Science, Springer.
16. Scientific Reports, Springer Nature.
17. Imaging Science Journal, Taylor & Francis.

IEEE Leadership, Governance, and Global Professional Service

Global and Regional IEEE Roles
1. Steering Committee Member, IEEE DataPort – Chair Ambassador Program (2024–2026).
2. Member, Board of Governance, IEEE Smart City - Chair, Security for Smart City (2026)
3. Member, IEEE Region 10 Section and Chapter Committee(2025).
4. Program Committee Member, IEEE Women in Engineering International Leadership Conference (WIE ILC 2025).
5. Secondary Representative, IEEE Computer Society to IEEE Council on Electronic Design Automation (CEDA) (2024).
6. Senior Advisor, IEEE Region 10 Student Activities Committee (SAC) (2023–2024).
Section-Level Leadership and Governance
1. Chair, IEEE Computer Society, Gujarat Section (2026).
2. Treasurer, IEEE Gujarat Section (2025).
3. Secretary, IEEE Gujarat Section (2024).
4. IEEE Young Professionals (YP) Chair, IEEE Gujarat Section (2023).
5. Executive Committee (ExCom) Member, IEEE Gujarat Section (2020-2021).
6. Student Activities Chair (SAC), IEEE Gujarat Section (2016-2019).
7. ExCom Member, IEEE Signal Processing Society Chapter, Gujarat Section (2017-2018).
8. Co-Founder and Co-Chair, IEEE Women in Engineering (WIE) Affinity Group, Gujarat Section (2014-2018).
Chapter Development, Student Engagement, and Advisory Roles
1. Chapter Coordinator, IEEE Sensors Council and IEEE Computer Society Joint Student
Chapter, Shantilal Shah Engineering College (SSTC) 2023. (Founder of the joint chapter).
2. Branch Counselor, IEEE M.B.I.C.T Student Branch (2013–2015).
3. Organizer, IEEE Gujarat Section Flagship Program “SAMPARK” (2016–2020), enabling statewide
student participation and inter-institutional collaboration