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Madhuben & Bhanubhai Patel Institute of Technology

(The Charutar Vidya Mandal (CVM) University)

Faculty Details

Vaibhav C. Gandhi

  • Assistant Professor
  • vcgandhi@mbit.edu.in
  • 02692-230823
  • 9427946444

Total Experience

Teaching 12 years 8 months
Industry 01 Years 02 Months

Membership

Life Time Member of Indian Society for Technical Education (ISTE) : LM 100195
Life Time Member of the International Association of Engineers (IAENG) : 279934
Life Time Member of the Society of Digital Information and Wireless Communications (SDIWC).

About

Specialization Area : Computer Vision, Data Mining, Machine Learning.
Subject Taught : Software Engineering, C, OOPC, Information Security, Operating System, Python, Computer Organization, Microprocessor and Interfacing, Computer Network, Web Technology.

Qualifications

Academic Qualifications

Qualification Specialization University Passing Year Class
Ph.D. Computer Engineering Gujarat Technological University Pursuing –
M.E. Computer Engineering Gujarat Technological University 2013 Distinction
B.E. Computer Engineering Gujarat University 2011 Distinction

Experience

Experience Details

17th February 2024 to till dates. Working as an Assistant Professor in MBIT, New V.V. Nagar .
July 2022 to September 2023. Working as a Software Developer in Odysseus Solutions, Vadodara.
July 2020 to July 2022. Working as an Assistant Professor in Navrachana University.
July 2016 to June 2020. Working as an Assistant Professor in Neotech Technical Campus.
June 2013. to October 2015. Working as an Assistant Professor in PIET, Parul University.
July 2012 to May 2013. Working as a Lecturer in PIET, Parul University.

Publications

Publications Details

Book:
  • Gandhi, V. C., & Mehta, D. (2024b). An Extensive Examination of ML Approaches for Predicting Heart Disease Insights: A Comprehensive Survey. In CRC Press eBooks (pp. 319–326). https://doi.org/10.1201/9781003596721-70
  • Gandhi, V. C., Siyal, D. K., Patel, S. P., & Shah, A. V. (2024a). A Survey. In Emotion detection using facial reorganization using convolutional neural network (CNN) and Viola–Jones algorithm (pp. 97–113). Scrivener Publishing LLC. https://doi.org/10.1002/9781119847717.ch6
International / National Journal:
  • Vaibhav C. Gandhi. (2024). PCOScare: Conventional Machine Learning Classifiers for Diagnosing and Prevention. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 3247–3255. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5930
  •  Jain, A., Sharma, P.C., Vishwakarma, S.K., Gupta, N.K., Gandhi, V.C. (2022). Metaheuristic Techniques for Automated Cryptanalysis of Classical Transposition Cipher: A Review. In: Somani, A.K., Mundra, A., Doss, R., Bhattacharya, S. (eds) Smart Systems: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2877-1_43
  • Singh, A. K., Gandhi, V. C., Subramanyam, M. M., Kumar, S., Aggarwal, S., & Tiwari, S. (2021). A Vigorous Chaotic Function Based Image Authentication Structure. Journal of Physics Conference Series, 1854(1), 012039. https://doi.org/10.1088/1742-6596/1854/1/012039
  • Chintan Maisuriya, Vaibhav Gandhi “An integrated approach to forecast the future requests of user by weblog mining” in International Journal of Computer Application [IJCA] in July – 2015.
  • Helly Desai, Vaibhav Gandhi “Real-time Moving Object Detection using SURF” in International Organization of Scientific Research [IOSR] in May to June – 2015.
  • Avani Patel, Vaibhav Gandhi “Survey on Human Gait Recognition” in International Journal of Computer Science and Technology [IJCST] in Oct to Dec – 2014.
  • Helly Desai, Vaibhav Gandhi “A survey: Background Subtraction Techniques” in International Journal of Scientific and Engineering Research [IJSER] in Dec – 2014.
  • Chintan Maisuriya, Vaibhav Gandhi “A Review on User’s Future Request Prediction in Web Usage Mining” in International Journal of Advanced Research in Computer Science and Software Engineering [IJARCSSE] in Dec -2014.
  • Divyang Patel, Vaibhav Gandhi “Image Registration using log polar transformation and FFT Based Scale Invariant” in International Journal of Engineering Research and Applications [IJERA]in May – 2014.
  • Divyang Patel, Vaibhav Gandhi “Image Registration using log polar transformation” in International Journal for Scientific Research & Development [IJSRD] in March- 2014.
  • Bharti Patel, Vaibhav Gandhi “Existing Techniques for image Inpainting: survey ” in International Journal for Scientific Research & Development [IJSRD] in March- 2014.
  • Vaibhav Gandhi, Neha Pandya “Feature Sentiment Text Categorization for Opinion mining” in International Journal of Engineering Research & Technology [IJERT] in May-2013.
  • Vaibhav Gandhi, Pinesh Darji “Review on Comparison Between Text Classification Algorithms” in International Journal of Emerging Trends & Technology in Computer [IJETTCS]” in Nov-2012.
  • Vaibhav Gandhi, Jignesh Prajapati “Cloud Computing with Data Warehousing” in International Journal of Emerging Trends & Technology in Computer [IJETTCS] in Nov-2012.
International / National Conference:
  • Bhumika S. Prajapati, Shraddha Korvadiya and Vaibhav C. Gandhi of Department of Computer Engineering/ Information Technology published a research paper on “The Impact of Deep Learning on Image Recognition and Classification: Techniques, Applications and Future directions” in International Conference on Web Intelligence and Human- Machine Interaction (ICWIHI 2025) organized by R P Sarathy Institute of Technology, Salem, Tamil Nadu on 8-9 April, 2025.
  • S. B. Katlariwala, V. C. Gandhi, N. Patel, D. Parmar and A. Desai, “TriBoost and Beyond: Advanced Machine Learning Approaches for Diabetes Risk Prediction,” 2025 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2025, pp. 1780-1785, doi: 10.1109/ICEARS64219.2025.10941310.
  • Patel N., Srividhya R., Linda P. E., Rajesh S., Gandhi V. C., & Bhatt V. (2025). Parkinson’s insight: Leveraging CNN and LSTM networks for enhanced diagnostic accuracy. In Advances in intelligent systems research,Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025) (pp. 157–173). https://doi.org/10.2991/978-94-6463-700-7_14
  • Gandhi V. C., Patel J., Prajapati B., Digaswala F. J., Barot R. V., & Patel N. (2025). Optimizing Sepsis care through CNN-LSTM Models: A Comprehensive Data-Driven Approach to Enhance Early Detection and management, In Advances in intelligent systems research/Advances in Intelligent Systems Research, Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025) (pp. 187–204). https://doi.org/10.2991/978-94-6463-700-7_16
  • V. C. Gandhi and D. Mehta, “An Extensive Examination of ML Approaches for Predicting Heart Disease Insights: A Comprehensive Survey,” in Recent Trends Eng. Sci. Resource Optimization Sustain. Dev., Nov. 2024.
  • V. C. Gandhi, D. Thakkar, and M. Milanova, “Unveiling Alzheimer’s Progression: AI‑Driven Models for Classifying Stages of Cognitive Impairment through Medical Imaging,” in Proc. 27th Int. Conf. Pattern Recognit. (ICPR), Kolkata, India, Dec. 1–5, 2024, pp. 55–87.
  • P. Arunachalam, V. C. Gandhi, J. Bhatt, T. Desai, S. Surendran and N. T. J, “Deep Learning for Predictive Forecasts and Brain Imaging in Memory Loss Diseases,” 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET), Gautam Buddha Nagar, India, 2024, pp. 1174-1179, doi: 10.1109/I3CEET61722.2024.10994109.
  • Gandhi, V. C., Subraja, T., Marikkannan, M., Renisha, P. S., Sarmukaddam, R., & Trivedi, D. (2025). MelanomaNet: Deep learning for skin cancer diagnosis through Inception V3., International Conference on Advanced Technologies in Electronics, Communications and Signal Processing, In K. K. Koganti et al. (Eds.), Advanced Technologies in Electronics, Communications and Signal Processing (LNICST 620, pp. 1–14). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-94283-9_30
  • Trivedi, D., Sarmukaddam, R., & Gandhi, V. C. (2025). Deep learning for urban sound classification: Using CNN and YAMNet model integration. In K. K. Koganti et al. (Eds.), Advanced Technologies in Electronics, Communications and Signal Processing (LNICST 620, pp. 1–18). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-94283-9_29
  • Bhatt, V., Shukla, R. N., Barot, R. V., Patel, K. D., Patel, N., & Gandhi, V. C. (2025, March). Synergizing CNN and LSTM in a hybrid framework for precise early detection of pediatric heart disease. In T. Upadhyaya, M. Mohmud, & M. Palandoken (Eds.), Proceedings of the International Conference on Artificial Intelligence, Communication Technologies & Smart Cities (ICACS 2025). Lecture Notes in Computer Science (LNCS). Springer.
  • Gandhi, V. C., Subraja, T., Marikkannan, M., Renisha, P. S., Sarmukaddam, R., & Trivedi, D. (2025, March 21–22). Optimizing birth weight prediction using convolutional and long short-term memory networks. Paper presented at the International Conference on Sustainable Computing & Intelligent Systems (ICSCIS-2025), Poornima University, Jaipur, India. To appear in AIP Conference Proceedings (Scopus indexed).
  • Guna G., Sarvan S., Prashant Johri, Umidbek Abdalov, Sabokhon Erjanova, Gandhi, V. C. (2025, May 29–31). Multi-objective genetic algorithms for dynamic resource optimization in cloud computing. Paper presented at the 3rd International Conference on Networks and Cryptology (NetCrypt 2025), School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India.
  • Anoop Kumar, Wakeel Ahmed, Muzaffar Matchanov, Sindor Sapaev, Thomaas Leonid T., Gandhi, V. C. (2025, May 29–31). Application of quantum machine learning in genomic data analysis using quantum support vector machines (QSVM). Paper presented at the 3rd International Conference on Networks and Cryptology (NetCrypt 2025), School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India.
  • I. Sudha, P. Johri, Izzatbek Rejapov, Umidbek Abdalov, Sindor Sapaev, Gandhi, V. C. (2025, May 29–31). Wireless sensor network-driven human intrusion detection using RT-DETR for real-time perimeter protection. Paper presented at the 3rd International Conference on Networks and Cryptology (NetCrypt 2025), School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India.
  • Ashwin Shenoy M, Shohruxmirzo Ismailov, N. Chidambararaj, M. Vadivel, Sona K, and Vaibhav C. Gandhi, “Real-Time Object Recognition in Video Streams Using Transformer-Based Architectures,” in Proc. 2nd Int. Conf. on Networks & Soft Computing (ICNSoC), VFSTR, Guntur, India, Jun. 12–14, 2025
  • Sudhanshu Maurya, Shokhjakhon Akhmedov, Leela Krishna M. Potluri, Y. Mary Reeja, Prasanthi Vallurupalli, and Vaibhav C. Gandhi, “Implementing Microservices Architecture for Scalable E-Commerce Applications with Dynamic Orchestration using Kubernetes and Knative,” in Proc. 2nd Int. Conf. on Networks & Soft Computing (ICNSoC), VFSTR, Guntur, India, Jun. 12–14, 2025
  • Ashwin Shenoy M, Feruza Jumaniyazova, Sudhanshu Maurya, Nimmy Lazer, K. Prema, and Vaibhav C. Gandhi, “Self-Healing and Optimization in Mesh Networks using Glowworm Swarm Optimization,” in Proc. 2nd Int. Conf. on Networks & Soft Computing (ICNSoC), VFSTR, Guntur, India, Jun. 12–14, 2025
  • Vaibhavi Painuly, Umidbek Abdalov, Omprakash Gurrapu, Yashan Noushad, Hepzibah Jebaselvi, and Vaibhav C. Gandhi, “AI-Enhanced Collision Detection for Autonomous Drones using LiDAR and Neural Network,” in Proc. 2nd Int. Conf. on Networks & Soft Computing (ICNSoC), VFSTR, Guntur, India, Jun. 12–14, 2025
  • Krishan Tuli; Egambergan Khudoynazarov; Sravan Kumar Chittimalla; Nimmy Lazer; Prasanthi, Vallurupalli and Vaibhav C. Gandhi, “AI-Assisted Debugging Tools for Enhancing Developer Productivity in Large Codebases Using,” in Proc. 2nd Int. Conf. on Networks & Soft Computing (ICNSoC), VFSTR, Guntur, India, Jun. 12–14, 2025
  • Shah, P. Goel and V. C. Gandhi, “E-commerce Products Image Classification using EfficientNetB5 with Transfer Learning,” 2024 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2024, pp. 125-129, doi: 10.1109/ICICT60155.2024.10544483
  • Pauranik, N. R, U. V. Ramesh, R. Riad Al-Fatlawy, J. Kaur and V. C. Gandhi, “Detection of Gastric Cancer in Endoscopic Images Using Deep Convolutional Neural Networks,” 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS), ASANSOL, India, 2024, pp. 1-5, doi: 10.1109/IICCCS61609.2024.10763738.
  • S. Thakar, D. Patel, V. C. Gandhi and D. Trivedi, “Financial Analytics with Artificial Neural Networks: Predicting Loan Repayment,” 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Kirtipur, Nepal, 2024, pp. 1666-1073, doi: 10.1109/I-SMAC61858.2024.10714849.
  •   G. Gandhimathi, G. Rajaram, V. c. Gandhi, P. Putta, R. e. Abed and A. -H. Meassar, “A Use of Fuzzy Logic Based Decision Making tree for Developing Smart Healthcare System,” 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2024, pp. 298-300, doi: 10.1109/ICACITE60783.2024.10617213
  • D. Thakkar, V. C. Gandhi and D. Trivedi, “Forecasting Maternal Women’s Health Risks using Random Forest Classifier,” 2024 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2024, pp. 961-965, doi: 10.1109/ICICT60155.2024.10544471
  •  Jain, A., Sharma, P.C., Vishwakarma, S.K., Gupta, N.K., Gandhi, V.C. (2022). Metaheuristic Techniques for Automated Cryptanalysis of Classical Transposition Cipher: A Review. In: Somani, A.K., Mundra, A., Doss, R., Bhattacharya, S. (eds) Smart Systems: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2877-1_43
  • V. C. Gandhi and P. P. Gandhi, “A Survey – Insights of ML and DL in Health Domain,” 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2022, pp. 239-246, doi: 10.1109/ICSCDS53736.2022.9760981

Academic Activities

Activities

STTP / Workshop / Seminar / FDP / Conferences Attended:
  • Faculty development Program on “Latest Trends on computational Mathematics – Theory, Methods & Applications” organized by JIS University on 26th Feb to 1st March 2024.
  • National Level Webinar on A GUI way to Learn Machine Learrning: an Interdisciplinary Workshop for Researchers organized by Annai Vailankanni College of Engineering (approved by MSME and Ministry of Corporate Affairs) on 1st March, 2024.
  • Attend National Faculty Development Program on “Data Analytics using Power BI and Tableau” from 11th March to 15th March, 2024 organized by Faculty of IT and CS -Parul University – Gujarat, Atria Institute of Technology- Karnataka & Amity Pune – Maharashtra in Collaboration with ExcelR Edtech Pvt. Ltd.
  • Attend International Level Student Workshop 2024, on “Data Science using Python” from 19th Feb to 23rd Feb, 2024 organized by Brainovision Solutions India Pvt Ltd.
  • FDP on “Applications of Data Science and IoT in Healthcare, Social Care and Business Aspects” from 2nd to 8th Feb, 2022 at Glocal University, Saharanpur.
  • One-week Online Faculty Development Programme on “Machine Learning To Deep Learning: Trends And Challenges” organized by the Department of Computer Engineering, Madhuben & Bhanubhai Patel Institute of Technology, New Vallabh Vidhyanagar during 13th – 18th  December, 2021.
  • Attend 5 days FDP on “Role of IOT in Cyber Security” from 29/11/2021 to 03/12/2021 organized by AICTE Training and Learning (ATAL) Academy at Lakshmi Narain College of Technology – Raison.
  • Attend 5 days FDP on “Deep Learning for Natural Language Processing” from 15/11/2021 to 19/12/2021 organized by AICTE Training and Learning (ATAL) Academy at Bhilai Institute of Technology Durg – Chhattisgarh.
  • 5-day FDP on “Advanced Security Techniques for Next Generation Computing” conducted at the CMR Institute of Technology from November 16,2021 to November 20, 2021.
  • Attend the Hands-on Session on Image Classification & Machine Learning from scratch” organized by ISTE – SJCEM on 15th November,2021.
  • Attend 5 days National level online FDP on “Data Analytics & Mining with Python programming” organized by CMR Engineering college – Hyderabad on 8th – 12th November,2021.
  • Attend the webinar on “How is Data Science being used in Engineering” organized by Department of Electronics and Communication Engineering of Mahendra College of Engineering in collaboration with Institution’s Innovation Council on 30th October 2021.
  • Attend the webinar on “Roadmap to Coding and How to Master Data Structures and Algorithms” organized by Meerut Institute of technology, Meerut on 13th October – 2021.
  • Attended a GUJCOST, DST (Govt. of Gujarat) Sponsored One Week Short Term Training Program on “Research Perspective in Artificial Intelligence” organized by the Department of Electronics & Communication during 25 – 29 October, 2021.
  • Attend the webinar on “Design Your Life: The Foundation of your life is a collection of choices that make your today” organized by Meerut Institute of technology, Meerut on 22nd October – 2021.
  • Attend National webinar on Role of IoT in combating Covid-19 pandemic organized by CSE association with IQAC on 19th October,2021.
  • FDP on an “Experiential Learning Platform – Virtual Labs” jointly organized by the Ganpat University and National Institute of Technology Karnataka on 12th October 2021.
  • Attend National 5 – Day Faculty Development Program on “ICT Tools for E-Content Development and Teaching Learning Techniques” held through virtual mode from 20th September 2021 to 24th September2021.
  • Webinar on “Machine Learning models for Online Movie and Product Recommendation System” organized by Department of Electronics and Communication Engineering of Mahendra College of Engineering in collaboration with Institution’s Innovation Council on 23rd September 2021.
  • Attend 6-day online FDP on “AI & Data Science – The future of Tomorrow” organized by MCT’s Rajiv Gandhi Institute of Technology, Mumbai during 29th July – 31st July and 5th Aug – 7th Aug, 2021.
  • NUV: BU Joint Seminar Series (7 Expert talks done in this series) during 12th March – 16th July,2021.
  • 1-day seminar on “Deep Learning: Applications and Challenges in Healthcare Systems” organized by P. P. Savani University on 14th August, 2021.
  • Short Term Training Program on “Scientific Computation using Python Programming” at Navrachana University – Vadodara during 31st May – 4th June,2021.
  • 2 days online workshop on “Website development using WordPress” organized by Skill slate Foundation, Pune and Kavrei College of Arts, Science, and Commerce – Pune during 3rd – 4th Feb,2021.
  • FDP on “Emerging Technologies in Healthcare: IOT, AI, Computational Neuroscience, Wearable Technologies” organized by AICTE Training And Learning (ATAL) Academy at D.College of Engineering, Ahmedabad during 18th – 22nd Jan,2021.
  • “Programming for Everybody” (Getting Started with Python), authorized by University of Michigan and offered through Coursera, 18th Aug,2020.
  • Certificate of participation for attended “The Basics of Web Design” organized by CreArt Solutions-Ahmedabad and Sigma Institute of Engineering, Vadodara on 4th June ,2020.
  • Certificate of participation the webinar on “Research Paper Writing” organized by St. John College of Engineering & Management, Palghar on 25th May,2020.
  • Certificate of participation for 5 days National Level online FDP on “Artificial Intelligence” organized by NYCI & Brain O Vision Solutions & Vignan’s Institute of Engineering for Women on 22nd May – 26th May,2020.
  • 2 – day Faculty Development Program on “Migration of IT Infra using Cloud” organized by Poornima University & Zeetro Netwroks on 20th – 21th may ,2020.
  • Certificate of participation 7 – days Faculty Development Program on “Teaching in Globally Connected World” organized by Nallamuthu Gounder Mahalingam College, Coimbatore on 18th May – 24th May,2020.
  • Certificate of participation in National Level webinar on “Career in Data Science” organized by Rajarshi Shahu Mahavidyalaya, Latur on 18th may,2020.
  • Certificate of appreciation for an International Webinar on “Post Covid – 19 Lockdown: Opportunities Challenges for Education, Industry, and Economy” organized by Poona College of Arts & Commerce, Pune on 16th May,2020.
  • Certificate of participation in a State Level Webinar on “Digital Marketing” conducted by H. Patel college of Engineering & Technology, ISA Students Branch on 16th May,2020.
  • Certificate of participation for attended 1 – week National Level E – Faculty Development Program on “Redefining the role of Educator in Covid – 19 Outbreak Era” organized by GTU and Ahmedabad and Anand Pharmacy College on 11th-16th May,2020.
  • One-day National workshop on “Python for Passionate Programmers” conducted by Jain Deemded to be University, Bangalore on 10th may,2020.
  • 1-week online Faculty Development Program on “Outcome Based Education: A Step towards Excellence” organized by Margdarshan Scheme of AICTE – New Delhi and Government College of Karad on 11th – 15th May,2020.
  • Certificate of participation in “Moodle Learning Management System training” organized by P.S.G.V.P. Mandal’s D.N. Patel college of engineering with spoken tutorial project, IIT Bombay.
  • 1 week Faculty Development Program & online training on “Python 3.4.3” organized by Spoken Tutorial Project, IIT Bombay & P.R.Pote College of Engineering & Managem ent Amravati during 22th-27th april,2020.
  • I have attended the one-day state level seminar on “Current Trends in Big Data” at Vadodara Institute of Engineering (VIER), Vadodara, Gujarat, Nov-2014.
  • I have attended the workshop on “OpenStack & Network Security” at Gujarat Technological University, Ahmadabad, January – 2014.
  • I have attended the Short-Term Training Program (STTP) on “Cloud Computing- Revolutionary Trends in IT” in Parul Institute of Engineering & Technology, Vadodara. December – 2013.
  • I have attended the Faculty Development Program (FDP) on “Digital Systems” organized by IEEE-IITGN at Gujarat Technological University, Ahmadabad, November-2013.
  • I have attended the Workshop on “Web Services” in Parul Institute of Technology, Vadodara September – 2013.
  • I have attended the Workshop on “PATTERN DRAFTING” in Parul Institute of Engineering & Technology, Vadodara. October – 2012.
  • I have attended the seminar on “BASIS of RESEARCH METHODOLOGY-” in Parul Institute of Engineering & Technology, Vadodara. September – 2012.
  • I have attended the National Conference of Emerging Vistas of Technology [NCEVT] at Ahmadabad. February -2012.
Ongoing Research Projects:
  • A project titled as “Advanced Multimodal Framework for Early Alzheimer’s Disease Diagnosis using Vision Transformers and Clinical Data Fusion” sanctioned by the REYES Mentorship Program 2024 (University of North Carolina – Chapel Hill & Lawrence Berkeley National Lab), with outlay of Rs. N/A (in‑kind mentorship support) is being worked upon by Mr. Vaibhav C. Gandhi as the Principal Investigator of the Department of Computer Engineering.
  • A project titled as “Integrating Multimodal Medical Data with Deep Learning: An Intermediate Fusion Approach for Clinical Prediction” sanctioned by the REYES Mentorship Program 2024 (University of North Carolina – Chapel Hill & Lawrence Berkeley National Lab), with outlay of Rs. N/A (in‑kind mentorship support) is being worked upon by Mr. Vaibhav C. Gandhi as the Principal Investigator of the Department of Computer Engineering.
Design Patent:
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “WEARABLE STRESS MONITORING AND MANAGEMENT DEVICE” (Application No: 425670-001), which was officially published on 2nd August 2024.
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “ADAPTIVE EMG SIGNAL PROCESSING DEVICE FOR MUSCLE ACTIVITY RECOGNITION USING DEEP LEARNING” (Application No: 439428-001), which was officially published on 3rd December 2024.
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “Personalize Learning AI Equipment for Education” (Application No: 457795-001), currently under process, filed on 6th May 2025.
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “AI-Driven IoT Device for Adaptive Automation” (Application No: 451593-001), currently under process, filed on 15th March 2025.
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “Facial Recognition-Based Access Control Device” (Application No: 454970-001), currently under process, filed on 10th April 2025.
  • Vaibhav C. Gandhi from the Department of Computer Engineering filed a design patent for “Smart Wearable Sensor Network for Real-Time Health Monitoring” (Application No: 455330-001), currently under process, filed on 14th April 2025.
Copyright:
  • Vaibhav C. Gandhi from the Department of Computer Engineering registered a copyright for “The Synergy of AI and Computer Management for Next-Gen Healthcare Solutions” (Application No: 10820/2025-CO/L), which was officially published on 19th June 2025.
Expert Talk Delivered:
  • Mr. Vaibhav C. Gandhi, Department of Computer Engineering delivered an invited expert talk during the E&ICT IITR One-Week Faculty Development Program on “Big Data Analytics and High-Performance Computing” held from 5th to 9th March 2025 at GIET University, Gunupur – 765022 (Hub).
  • Mr. Vaibhav C. Gandhi of the Department of Computer Engineering delivered an invited expert session and hands-on lab on “Exploring Supervised and Unsupervised Learning: From Theory to Practice” in the Faculty Development Program on “Image Processing and Pattern Recognition”, held from 21st to 25th January 2025 at GIET University & ABIT Cuttack, organized under the E&ICT Academy, IIT Roorkee.
  • Mr. Vaibhav C. Gandhi of the Department of Computer Engineering delivered an invited expert session on “Recent Healthcare Advances Leveraging Convolutional Neural Networks” in the National Level Online Faculty Development Program on “Generative AI Models and Applications of Machine Learning”, organized by the Department of Computer Science and Engineering, SVECW, held from 21st to 25th May 2024.
Other Achievements and Awards:
  • Vaibhav C. Gandhi, Department of Computer Engineering were awarded “Best Paper Presentation” by the Institute of Engineering & Management, Kolkata for their paper titled “Generative Adversarial Networks for Early Autism Detection: A Novel Approach using ML” in The International Conference on Emerging Trends in Mathematical Sciences & Computing (IEMSC-25) on 9th February 2025.
  • Vaibhav C. Gandhi, Department of Computer Engineering were awarded “1st Prize in Best Paper Award” by the 1st International Conference on Sustainable Computing and Intelligent Systems (ICSCIS 2025), sponsored by Science and Engineering Research Board (SERB) for their paper titled “Optimizing Birth Weight Prediction using Hybrid Convolutional and Long Short-Term Memory Networks” on 22nd March 2025.
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