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Akshat Agrawal

Associate Professor

Institute of Engineering & Technology

Biography

Dr. Akshat Agrawal holds a B.Tech in Computer Science & Engineering from UPTU and an M.Tech from USICT, GGSIPU, New Delhi. He earned his Ph.D. from USIC&T, GGSIPU, New Delhi. He is currently working as an Associate Professor at Computer Science and Engineering at JK Laxmipat University, Jaipur Prior to this he worked as a Cluster Lead at the School of Computer Science & Engineering, IILM University, Gurugram and, served as an Assistant Professor (Senior Scale) – Assistant Professor-III at Amity University Haryana, Amity School of Engineering and Technology.Dr. Agrawal has over 17 years of teaching and research experience. His primary research interests include Artificial Intelligence, Deep Learning, Artificial Neural Networks, Speech Processing, and Image Processing. He has published 67 research papers in Scopus/SCIE-indexed international journals and conferences.

He has successfully guided 20 M.Tech theses and 42 B.Tech projects. As part of international academic collaborations, he visited the Technical University of Kosice, Slovakia, and the University of Nova, Portugal, in June 2019 under the CABCIN project (ERASMUS-funded). In May 2023, he received a scholarship to visit the Wroclaw University of Science & Technology, Wroclaw, Poland. Dr. Agrawal is actively involved in peer reviewing research papers and book chapters and has served on the programme committees of several conferences. He has edited a special issue and books like : IGI Global, Elsevier, Springer Nature, Wiley publishers.

Education

  • Usict, (Main Campus) Guru Gobind Singh Indraprastha University, New Delhi

    PhD, 2025

    Focus: Speech Emotion Recognition Framework Using Meta-Heuristic Based Machine Learning Approach.

  • Usict, (Main Campus) Guru Gobind Singh Indraprastha University, New Delhi

    MTech, 2011

    Major: Information Technology

  • F.E.T Agra College, Agra, Uttar Pradesh Technical University, Lucknow

    BTech, 2007

    Major: Computer Science & Engineering

  • Speech Emotion Processing
  • Meta Heuristics Algorithm
  • Deep Learning
  • Machine Learning
  • Gen AI Applications

  • Kundu, S., Chaturvedi, R. P., Mishra, A., Agrawal, Akshat, Sultan, M., Manel, A., . . . Arshad, H. (2026). A trustworthy cybersecurity model for transparent cyberattack detection using bald eagle search tuned xgboost and explainable ai. Journal of Cloud Computing. IF(4.1).
  • Agrawal, A., & Jain, A. (2025). Brhamo: Metaheuristic optimization algorithm for speech emotion recognition using spectral and hybrid features. Evolutionary Intelligence, 18(1), 4. IF(2.3).
  • Kundu, S., Ninoria, S. Z., Chaturvedi, R. P., Mishra, A., Agrawal, Akshat, Batra, R., . . . Hashmi, A. (2025). Real-time deforestation anomaly detection using yolo and langchain agents for sustainable environmental monitoring. Scientific Reports, 15(1), 39961. IF(3.9).
  • Dalal, S., Lilhore, U. K., Faujdar, N., Simaiya, S., Agrawal, A., Rani, U., & Mohan, A. (2024). Enhancing thyroid disease prediction with improved xgboost model and bias management techniques. Multimedia Tools and Applications, 1–32. IF(3).
  • Rastogi, M., Vijarania, M., Goel, N., Agrawal, A., Biamba, C. N., & Iwendi, C. (2024). Conv1d-lstm: Autonomous breast cancer detection using a one-dimensional convolutional neural network with long short-term memory. IEEE Access. IF(3.4).
  • Dalal, S., Lilhore, U. K., Simaiya, A. S., Agrawal, Jaglan, V., Mohan, A., Ahuja, S., . . . Chakrabarti, P. (2023). Original research article a precise coronary artery disease prediction using boosted c5.0 decision tree model. Journal of Autonomous Intelligence, 6(3). Cite Score(1.1).
  • Vijarania, M., Gupta, S., Agrawal, A., Adigun, M. O., Ajagbe, S. A., & Awotunde, J. B. (2023). Energy efficient load-balancing mechanism in integrated iot–fog–cloud environment. Electronics, 12(11), 2543. IF(2.6).
  • Arora, R., Agrawal, A., Arora, R., Poonia, R. C., & Madaan, V. (2021). Prediction and forecasting of covid-19 outbreak using regression and arima models. Journal of Interdisciplinary Mathematics, 24(1), 227–243. Cite Score(2.7).
  • Seth, B., Dalal, S., Jaglan, V., Dahiya, N., Agrawal, A., Sharma, M. M., . . . Verma, K. et al. (2021). Secure cloud data storage system using hybrid paillier–blowfish algorithm. Computers, Materials & Continua, 67(1). IF(2.1).
  • Agrawal, A., & Jain, A. (2020). Speech emotion recognition of hindi speech using statistical and machine learning techniques. Journal of Interdisciplinary Mathematics, 23(1), 311–319. Cite Score(2.7).
  • Deore, H., Agrawal, A., Jaglan, V., Nagpal, P., & Sharma, M. M. (2020). A new approach for navigation and traffic signs indication using map integrated augmented reality for self-driving cars. Scalable Computing: Practice and Experience, 21(3), 441–450. IF(1.1).
  • Sinha, S., Agrawal, A., Singh, A., & Raj, P. (2020). Transforming interactions: Mouse-based to voice-based interfaces. Telecommunications and Radio Engineering, 79(14). Cite Score(1.5).

  • Chugh, A., Agrawal, Akshat, & Soni, A. (2026). Revolutionizing operations research with deep learning techniques. In Deep learning applications in operations research (pp. 71–86).
  • Chillar, V., Gupta, S., Vijarania, M., Agrawal, Akshat, & Soni, A. (2025). Role of sustainable strategies using artificial intelligence in brain tumour detection and treatment. In Achieving sustainability with ai technologies (pp. 327–360).
  • Gupta, S., Vijarania, M., Agrawal, Akshat, Yadav, A., Mandadi, R. R., & Panday, S. (2024). Big data analytics in healthcare sector: Potential strength and challenges. In Advancement of data processing methods for artificial and computing intelligence (pp. 41–67).
  • Sinha, S., Chugh, A., Vairamani, A. D., & Agrawal, Akshat. (2024). Intelligent electric vehicles: Leveraging ai-iot for sustainable mobility. In Sustainable iot and data analytics enabled machine learning techniques and applications (pp. 21–40).
  • Swati, Vijarania, M., Agrawal, Akshat, & Le, D.-N. (2024). Machine learning approach for predicting the price of used cars. In Reshaping intelligent business and industry: Convergence of ai and iot at the cutting edge (pp. 107–115).
  • Vijarania, M., Gupta, S., Agrawal, Akshat, & Misra, S. (2024). Achieving sustainable development goals in cyber security using aiot for healthcare application. In Artificial intelligence of things for achieving sustainable development goals (pp. 207–231).
  • Udbhav, M., Vijarania, M., Gupta, S., Agrawal, Akshat, & Chawla, Y. (2023). Internet of everything and blockchain: An introduction. In Blockchain technology for ioe (pp. 3–19).
  • Vijarania, M., Udbhav, M., Gupta, S., Kumar, R., & Agrawal, Akshat. (2023). Global cost of living in different geographical areas using the concept of nlp. In Handbook of research on applications of ai, digital twin, and internet of things for sustainable development (pp. 419–436).
  • Walia, V., Madaan, V., Agrawal, P., Mohan, A., Gupta, C., Sharma, A., & Agrawal, Akshat. (2022). Blockchain in iot and limitations. In Trust-based communication systems for internet of things applications (pp. 17–27).
  • Agrawal, Akshat, Arora, R., Arora, R., & Agrawal, P. (2021). Applications of artificial intelligence and internet of things for detection and future directions to fight against covid-19. In Emerging technologies for battling covid-19: Applications and innovations (pp. 107–119).

  • Bharti, A., Agrawal, Akshat, Awotunde, J. B., & Tiwari, S. (2025). Structured vs. unstructured pruning: Balancing efficiency and accuracy in CNNs for image classification. In 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) (pp. 263–268). DOI: 10.1109/EmergIN67762.2025.11450604.
  • Goel, J., Gupta, S., Vijarania, M., Agrawal, Akshat, Soni, A., & Khurana, M. (2025). Predictive analytics in Type-1 diabetes using machine learning algorithms. In International Conference on AI and Robotics (pp. 169–183). Springer. DOI: https://doi.org/10.1007/978-3-032-05545-3_14.
  • Madhwani, V., Agrawal, Akshat, & Agrawal, A. P. (2025). Malware detection in intrusion detection systems using generative adversarial networks. In 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) (pp. 527–531). DOI: 10.1109/EmergIN67762.2025.11450890.
  • Dalal, S., Jaglan, V., Agrawal, Akshat, Kumar, A., Joshi, S. J., & Dahiya, M. (2024). Navigating urban congestion: Optimizing LSTM with RNN in traffic prediction. In AIP Conference Proceedings (Vol. 3217, p. 020003). AIP Publishing. DOI: 10.1063/5.0234588.
  • Rustagi, M., Goel, N., Agrawal, Akshat, Soni, A., Vijarania, P., et al. (2024). Data reliability and survival analysis for breast cancer patients using real data. In 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS) (pp. 389–394). IEEE. DOI: 10.1109/ICPIDS65698.2024.00067.
  • Adeyemi-Kayode, T. M., Orovwode, H. E., Adoghe, A. U., Misra, S., & Agrawal, Akshat. (2023). Short-term load demand forecasting using artificial neural network. In Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2022), Volume 1 (pp. 165–177). Springer Nature Singapore. DOI: 10.1007/978-981-19-9876-8_14.
  • Alfa, A. A., Misra, S., Yusuf, A., & Agrawal, Akshat. (2023). Comparative analysis of performances of convolutional neural networks for image classification tasks. In Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2022), Volume 1 (pp. 179–190). Springer Nature Singapore. DOI: 10.1007/978-981-19-9876-8_15.
  • Amarthya, R., Agrawal, Akshat, Chawla, Y., & Mishra, A. K. (2023). Autonomous thrust vector control using machine learning in physics simulations: Enhancing performance in guidance. In Proceedings of International Conference on Power Engineering and Intelligent Systems (PEIS) (pp. 459–472). Springer Nature Singapore. DOI: 10.1007/978-981-99-7383-5_35.
  • Awotunde, J. B., Misra, S., Ayo, F. E., Agrawal, Akshat, & Ahuja, R. (2023). Hybridized support vector machine and AdaBoost technique for malaria diagnosis. In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022 (pp. 25–38). DOI: 10.1007/978-981-19-5191-6_3.
  • Mahajan, M., Singh, B., Agrawal, Akshat, & Mishra, A. K. (2023). Comparative analysis of bit flipping decoders in BIKE PQC. In Proceedings of International Conference on Advances in Data-Driven Computing and Intelligent Systems (ADCIS) (pp. 345–356). Springer Nature Singapore. DOI: 10.1007/978-981-99-9531-8_28.
  • Udbhav, M., Attri, R. K., Garg, P., Vijarania, M., Gupta, S., & Aggarwal, Akshat. (2023). Hand gesture recognition system using machine learning. In International Conference on Artificial-Business Analytics, Quantum and Machine Learning (pp. 187–198). Springer Nature Singapore. DOI: 10.1007/978-981-97-2508-3_14.
  • Abel, K. D., Misra, S., Agrawal, Akshat, Maskeliunas, R., & Damasevicius, R. (2022). Data security using cryptography and steganography technique on the cloud. In Computational Intelligence in Machine Learning: Select Proceedings of ICCIML 2021 (pp. 475–481). DOI: 10.1007/978-981-16-8484-5_46.
  • Abel, K. D., Misra, S., Jonathan, O., Agrawal, Akshat, Maskeliunas, R., & Damasevicius, R. (2022). Data security in cloud computing using a hybrid algorithm approach. In Computational Intelligence in Machine Learning: Select Proceedings of ICCIML 2021 (pp. 467–474). DOI: 10.1007/978-981-16-8484-5_45.
  • Ademola, O. F., Misra, S., & Agrawal, Akshat. (2022). Improving real-time intelligent transportation systems in predicting road accident. In Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2022), Volume 1 (pp. 225–239). Springer Nature Singapore. DOI: 10.1007/978-981-99-0601-7_18.
  • Adeniyi, A. E., Madamidola, O. A., Awotunde, J. B., Misra, S., & Agrawal, Akshat. (2022). Comparative analysis of CNN and SVM machine learning techniques for plant disease detection. In International Conference on Data, Engineering and Applications (IDEA 2021) (pp. 389–402). Springer Nature Singapore. DOI: 10.1007/978-981-97-0037-0_30.
  • Adeniyi, J. K., Adeniyi, T. T., Ogundokun, R. O., Misra, S., Agrawal, Akshat, & Ahuja, R. (2022). Correction to: PriHealth: A fingerprint-based mobile primary healthcare management system. In International Conference on Computational Intelligence in Communications and Business Analytics (pp. C1–C1). Springer International Publishing. DOI: 10.1007/978-3-031-10766-5_34.
  • Afah, D., Gautam, A., Misra, S., Agrawal, Akshat, Damaševičius, R., & Maskeliūnas, R. (2022). Smartphones verification and identification by the use of fingerprint. In Advanced Techniques for IoT Applications: Proceedings of EAIT 2020 (pp. 365–373). Springer Singapore. DOI: https://doi.org/10.1007/978-981-16-4435-1_35.
  • Akinmeji, A., Misra, S., Agrawal, Akshat, Adewumi, A., Maskeliunas, R., & Damasevicius, R. (2022). A cost-effective design for a hydroponics farm. In Proceedings of International Conference on Advanced Computing Applications (ICACA 2021) (pp. 821–833). Springer Singapore. DOI: https://doi.org/10.1007/978-981-16-5207-3_67.
  • Awotunde, J. B., Misra, S., Abdullahi, T. O., & Agrawal, Akshat. (2022). E-medical administration: An automated healthcare management system. In International Conference on Data, Engineering and Applications (IDEA 2021) (pp. 345–359). Springer Nature Singapore. DOI: 10.1007/978-981-97-2451-2_23.
  • Ayo, F. E., Awotunde, J. B., Misra, S., & Agrawal, Akshat. (2022). A smart blockchain model for supply chain management system. In International Conference on Data, Engineering and Applications (IDEA 2021) (pp. 305–316). Springer Nature Singapore. DOI: 10.1007/978-981-97-2451-2_20.
  • Ezra, P. J., Misra, S., Agrawal, Akshat, Oluranti, J., Maskeliunas, R., & Damasevicius, R. (2022). Secured communication using virtual private network (VPN) (pp. 309–319). DOI: https://doi.org/10.1007/978-981-16-3961-6_27.
  • Joaquim, M. M., Kamble, A. W., Misra, S., Badejo, J., & Agrawal, Akshat. (2022). IoT and machine learning based anomaly detection in WSN for a smart greenhouse. In Data, Engineering and Applications: Select Proceedings of IDEA 2021 (pp. 421–431). DOI: 10.1007/978-981-19-4687-5_32.
  • Naphtali, J. H., Misra, S., Wejin, J., Agrawal, Akshat, & Oluranti, J. (2022). An intelligent hydroponic farm monitoring system using IoT. In Data, Engineering and Applications: Select Proceedings of IDEA 2021 (pp. 409–420). DOI: 10.1007/978-981-19-4687-5_31.
  • Ogbe, D., Misra, S., Agrawal, Akshat, Ayeni, F., Maskeliunas, R., & Damasevicius, R. (2022). A decentralized renewable microgrid: An energy on demand approach. In Proceedings of International Conference on Advanced Computing Applications (ICACA 2021) (pp. 835–849). Springer Singapore. DOI: https://doi.org/10.1007/978-981-16-5207-3_68.
  • Ogundokun, R. O., Misra, S., Segun-Owolabi, T., Gulanikar, A. A., Agrawal, Akshat, & Damasevicius, R. (2022). A web application vulnerability testing system. In Recent Innovations in Computing: Proceedings of ICRIC 2021, Volume 2 (pp. 741–751). DOI: 10.1007/978-981-16-8892-8_56.
  • Ogundokun, R. O., Misra, S., Umoru, D., & Agrawal, Akshat. (2022). Review of cardiovascular disease prediction based on machine learning algorithms. In Proceedings of International Conference on Recent Innovations in Computing (ICRIC 2022), Volume 1 (pp. 37–50). Springer Nature Singapore. DOI: 10.1007/978-981-99-0601-7_4.
  • Olaitan, A., Adewale, A., Misra, S., Agrawal, Akshat, Ahuja, R., & Oluranti, J. (2022). Face recognition using VGG16 CNN architecture for enhanced security surveillance—A survey. In Futuristic Trends in Networks and Computing Technologies (pp. 1111–1125). Springer Nature Singapore. DOI: 10.1007/978-981-19-5037-7_80.
  • Oluwatomiyin, S., Misra, S., Wejin, J., Agrawal, Akshat, & Oluranti, J. (2022). A hybrid translation model for Pidgin English to English language translation. In Data, Engineering and Applications: Select Proceedings of IDEA 2021 (pp. 385–394). DOI: 10.1007/978-981-19-4687-5_29.
  • Orimogunje, A. M., Fred-Ahmadu, O. V., Adewale, A. A., Olaitan, A., Misra, S., Agrawal, Akshat, & Ahuja, R. (2022). Design and development of smart waste bin for effective waste collection and management. In Futuristic Trends in Networks and Computing Technologies (pp. 363–372). Springer Nature Singapore. DOI: 10.1007/978-981-19-5037-7_26.
  • Patrick, N. V., Misra, S., Adetiba, E., & Agrawal, Akshat. (2022). An incremental load balancing algorithm in federated cloud environment. In Data, Engineering and Applications: Select Proceedings of IDEA 2021 (pp. 395–408). DOI: 10.1007/978-981-19-4687-5_30.
  • Rotimi, O. J., Misra, S., Agrawal, Akshat, Azubuike, E., Maskeliunas, R., & Damasevicius, R. (2022). Curbing criminal acts on mobile phone network. In Cyber Security and Digital Forensics: Proceedings of ICCSDF 2021 (pp. 99–111). Springer Singapore. DOI: 10.1007/978-981-16-3961-6_10.
  • Agrawal, Akshat, & Jain, A. (2021). Emotion recognition of speech in Hindi using dimensionality reduction and machine learning techniques. In Information and Communication Technology and Applications: Third International Conference, ICTA 2020 (pp. 119–129). Springer International Publishing. DOI: 10.1007/978-3-030-69143-1_10.
  • Ajayi, L. K., Azeta, A., Misra, S., Odun-Ayo, I., Ajayi, P. T., Azeta, V., & Agrawal, Akshat. (2021). Enhancing the low adoption rate of m-commerce in Nigeria through Yorùbá voice technology. In Hybrid Intelligent Systems: 20th International Conference on Hybrid Intelligent Systems (HIS 2020) (pp. 516–524). Springer International Publishing. DOI: 10.1007/978-3-030-73050-5_52.
  • Akande, O. N., Ayoola, J., Misra, S., Ahuja, R., Agrawal, Akshat, & Oluranti, J. (2021). Application of support vector machine and convolutional neural network for sentence-level sentiment analysis of companies' product reviews. In International Conference on Advances in Electrical and Computer Technologies (pp. 133–145). Springer Nature Singapore. DOI: 10.1007/978-981-19-1111-8_12.
  • Chauhan, M., Joon, A., Agrawal, Akshat, Kaushal, S., & Kumari, R. (2021). Intrusion detection system for securing computer networks using machine learning: A literature review. In Congress on Intelligent Systems: Proceedings of CIS 2020, Volume 1 (pp. 177–189). Springer Singapore. DOI: 10.1007/978-981-33-6981-8_15.
  • Harikrishnan, V., Deore, H., Raju, P., & Agrawal, Akshat. (2021). Comparative study on AutoML approach for diabetic retinopathy diagnosis. In Congress on Intelligent Systems: Proceedings of CIS 2020, Volume 2 (pp. 759–771). Springer Singapore. DOI: 10.1007/978-981-33-6984-9_60.
  • Harikrishnan, V., Deore, H., Raju, P., Agrawal, Akshat, & Sharma, M. M. (2021). Predictive analysis using machine learning techniques for fantasy games. In Advances in Mechanical Engineering: Select Proceedings of CAMSE 2020 (pp. 683–692). DOI: 10.1007/978-981-16-0942-8_65.
  • Ogundokun, R. O., Misra, S., Awotunde, J. B., Agrawal, Akshat, & Ahuja, R. (2021). PCA-based feature extraction for classification of heart disease. In International Conference on Advances in Electrical and Computer Technologies (pp. 173–183). Springer Nature Singapore. DOI: 10.1007/978-981-19-1111-8_15.
  • Olatunde, O. S., Mofiyinfoluwa, O., Akande, O. N., Misra, S., Ahuja, R., Agrawal, Akshat, & Oluranti, J. (2021). Comparison of selected algorithms on breast cancer classification. In International Conference on Advances in Electrical and Computer Technologies (pp. 161–171). Springer Nature Singapore. DOI: 10.1007/978-981-19-1111-8_14.
  • Vijarania, M., Agrawal, Akshat, & Sharma, M. M. (2021). Task scheduling and load balancing techniques using genetic algorithm in cloud computing. In Soft Computing: Theories and Applications: Proceedings of SOCTA 2020, Volume 2 (pp. 97–105). DOI: 10.1007/978-981-16-1696-9_9.
  • Dalal, S., Agrawal, Akshat, Dahiya, N., & Verma, J. (2020). Software process improvement assessment for cloud application based on fuzzy analytical hierarchy process method. In Computational Science and Its Applications – ICCSA 2020 (pp. 989–1001). Springer International Publishing. DOI: 10.1007/978-3-030-58811-3_70.

  • Data Structure Using C
  • Fundamentals of Machine Learning
  • Deep Learning
  • Programming in C
  • Python Programming Language
  • Artificial Neural Networks
  • Basics of Artificial Intelligence

  • Deep Learning
  • Generative AI and Fundamentals
  • Machine Learning

  • July 2025 – June 2026

    Associate Professor & Cluster Lead, School of Computer Science & Engineering, IILM University, Gurgaon, India.

  • July 2011 – July 2025

    Assistant Professor (Senior Scale), Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University Haryana, India.

  • October 2007 – August 2009

    Lecturer, Department of Computer Science & Engineering, Gurgaon Institute of Technology & Management, Gurgaon, India.

  • July 2025 – June 2026

    Associate Professor & Cluster Lead, School of Computer Science & Engineering, IILM University, Gurgaon, India.

  • July 2011 – July 2025

    Assistant Professor (Senior Scale), Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University Haryana, India.

  • October 2007 – August 2009

    Lecturer, Department of Computer Science & Engineering, Gurgaon Institute of Technology & Management, Gurgaon, India.

  • Amizone Coordinator (Handle Whole Engineering School LMS Software)
  • Academic Coordinator of Amity School of Engineering & Technology.
  • Member of Exam Conduction Committee of Engineering School.
  • Program Coordinator, Information Technology at Amity School of Engineering & Technology, Amity University Haryana.
  • Assistant Director, Amity Online and Open Learning School.
  • Cluster Lead at School of Computer Science & Engineering.

  • Cognitive Computation – Reviewer. (Impact Factor: 4.7, CiteScore: 9.3)
  • Journal of Algorithms & Computational Technology (SAGE) – Editorial Board Member. (Impact Factor: 1.7, CiteScore: 2.7)
  • Energies – Reviewer. (Impact Factor: 3.004, CiteScore: 4.7)
  • Multimedia Tools and Applications – Reviewer. (Impact Factor: 3.0, CiteScore: 5.3)
  • Scientific Reports – Reviewer. (Impact Factor: 4.9, CiteScore: 7.5)
  • Sustainability – Reviewer. (Impact Factor: 3.251, CiteScore: 3.9)
  • Telematics and Informatics – Reviewer. (Impact Factor: 6.182, CiteScore: 13.2)
  • WIREs (Wiley Interdisciplinary Reviews) – Reviewer. (Impact Factor: 6.142, CiteScore: 22.7)

  • 2023

    Awarded the NCN Scholarship by the National Agency for Academic Exchange (NAWA), Poland under the Spinaker Switch Programme at Wrocław University of Science and Technology, Poland.

  • 2020

    Best Paper Award received at the International Conference on Information and Communication Technology (ICTA 2020), Covenant University, Nigeria.

  • 2019

    Best Paper Award received at an International Conference.

  • Visvesvaraya PhD Fellowship

  • Supervising 3 PhD Students as a Co-Supervisor at Amity University Haryana.
  • Guided 22 M.Tech Students.

  • Title: Water Purity Indicating Drinking Glass

    Status: Granted

    Type: Indian Design Patent

    Patent No.: 317934-001

  • Title: An Automatic Height Adjustable Footwear with Physical Parameter and Activity Analysis Mechanism of the User

    Status: Granted

    Type: Indian Utility Patent

    Patent No.: 501307

  • Title: Solar Assisted System and Method for Water De-Fluoridation

    Status: Granted

    Type: Australian Patent

    Patent No.: 2021103219

  • Title: CABCIN: Establishment of Capacity Building Centers as a sustainable solution to raise the standards of teaching staff in Indian HEIs.

    Role: Co-Coordinator

    Funding Scheme and Agency: ERASMUS+

    Category: Capacity Building in the Field of Higher Education.

  • 2019 – Present

    Technical Advisor, AlfaBeTo Global, India – A software company providing a wide range of web-based and application-oriented software solutions across diverse domains.

  • 2023 – Present

    Technical Advisor, Ai4Water – A company focused on climate change forecasting and the development of sustainability tools using Artificial Intelligence.

  • 2021 – Present

    Mentor, Heu.ai, India – A company specializing in Machine Learning and Deep Learning, offering AI-driven solutions across various domains.

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  • Bachelor of Technology B.Tech

  • Bachelor of Design B.Des

  • Bachelor of Business Administration BBA

  • Bachelor of Business Administration BBA (Fintech)

  • Bachelor of Business Administration BBA (Honours)

  • Bachelor of Business Administration

  • Master of Design M.Des

  • Master of Technology M.Tech

  • Master of Business Administration MBA

  • Doctor of Philosophy PhD

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