Prof. Dr. Tapas Guha
Professor, Dept. of Artificial Intelligence and Machine Learning
CMR Institute of Technology, Bengaluru, India
http://www.cmrit.ac.in (NAAC A++ Accredited)
E-mail ID: tapas.g@cmrit.ac.in
Mobile/WhatsApp: +91 9051945948
Linkedin: https://www.linkedin.com/in/dr-tapas-guha-a28b051aa/
Google Scholar link: https://scholar.google.com/citations?user=wLFQXpoAAAAJ&hl=en&oi=ao
ACM Professional membership ID: 1927918.
ISTE Life Membership ID: LM 146662
IFEPR Professional Membership ID: PROF-83425364
Dr. Tapas Guha, currently a Professor in the department of Artificial Intelligence and Machine Learning in CMR Institute of Technology, Bengaluru, has a rich work experience of around 23 years across IT Industry and Academia. An M.Tech from IIT Kharagpur, he has worked in eminent IT and academic leaders like IBM India Pvt. Ltd, Presidency University and NMIT Bangalore. Having completed his PhD in 2021, he has several publications in reputed international journals and conferences. He also has around 10 national and international utility and design patents granted or published. His research interest largely revolves around Opinion mining, sustainable AI models, Post disaster infrastructure management and associated areas of Data Science.
PhD in Computer Science and Engineering (Sentiment Analysis, Deep Learning), Presidency University, Bengaluru, 2021
M.Tech in Information and Communication Technology, Dept. of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, 2013
BE in Information Technology, Siliguri Institute of Technology, University of North Bengal, 2003
Professor, Department of Artificial Intelligence and Machine Learning, CMR Institute of Technology, Bengaluru since 09.06.2026
Associate Professor and Program Coordinator, CSE(Data Science), Department of Computer Science and Engineering, Techno International New Town, Kolkata from 11th March 2024 till date
Professor, Department of Computer Science & Technology, University of Engineering and Management, Kolkata from 17th August 2023 to 6th March 2024
Associate Professor, Department of CSE-Data Science, Techno Main Salt Lake, Kolkata from 18th January 2023 to 12th August 2023
Associate Professor, Department of Artificial Intelligence and Machine Learning, Nitte Meenakshi Institute of Technology, Bengaluru from 15th July 2022 to 15th December 2022
Associate Professor,Department of Computer Science and Engineering, Presidency University, Bengaluru from 24th July 2017 to 2nd July 2022
Assistant Professor, Department of Computer Science and Engineering, PSIT Kanpur from 1st December 2016 to June, 2017
Assistant Professor, Department of Computer Science and Engineering & Information Technology, Bengal institute of technology, Techno India from 1st July 2009 to 15th November 2016
Software Engineer, IBM India Pvt. Ltd. From 6th March 2006 to 21st May 2009
Lecturer, Department of Computer Science and Engineering & Information Technology, Meghnad Saha Institute of Technology, Techno India from 16th June 2003 to 5th March 2006
Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Soft Computing, Social Network Analysis, Gen AI, Operating Systems, Computer Organization and Architecture, Computer Networks etc.
Sentiment Analysis, Post Disaster Infrastructure management, Generative ML Models, Capsnet
● S. Roy, A. Meikap, S. Bakshi, T. Guha, S. Bandyopadhyay, and A. Roy, "MediFlow: An end-to-end smart medical ecosystem," in Proc. 2nd Int. Conf. Advanced Computing and Systems (AdComSys), W. Ding, A. Chakrabarti, M. Chakraborty, and S. Chakraborty, Eds., Lecture Notes in Networks and Systems, vol. 1887, Cham, Switzerland: Springer, Apr. 2026, pp. 123–134, doi: 10.1007/978-3-032-20253-6_10.
● A. Ganguly, U. Das, D. Ghosh, T. Guha, S. Bandyopadhyay, and A. Roy, "ThoraxAI: A unified AI pipeline for thoracic X-ray analysis," in Proc. 2nd Int. Conf. Advanced Computing and Systems (AdComSys), W. Ding, A. Chakrabarti, M. Chakraborty, and S. Chakraborty, Eds., Lecture Notes in Networks and Systems, vol. 1887, Cham, Switzerland: Springer, Apr. 2026, pp. 186–194, doi: 10.1007/978-3-032-20253-6_14.
● S. Chaki, S. Bandyopadhyay, and T. Guha, "Food recognition and categorization with YOLOv8 and YOLOv9 in inventory management system," in Proc. Int. Conf. Sustainable Communication, Machine Intelligence and Data Analytics, 2025. (Page numbers and DOI not yet available.)
● B. Rai, O. Samanta, A. Das, T. Guha, A. Roy, S. Goswami, and K. Natarajan, "Intelligent cognitive radio design: Performance analysis and ML-based optimization of energy detection schemes," LEX, vol. 23, no. S4, pp. 2635–2645, Aug. 2025, doi: 10.52152/800934.
● M. M. Das, S. Chakraborty, A. Mondal, and T. Guha, "Identification of essential proteins as promising therapeutic targets against drug resistant strain of Staphylococcus aureus: An in silico approach," Int. J. Pharm. Investigation, vol. 15, no. 4, pp. 1227–1234, Jul. 2025, doi: 10.5530/ijpi.20250261.
● A. Mukherjee, C. Mukherjee, and T. Guha, "Deploying stacked CNN for Ol-Chiki handwritten digit recognition using SIFT," in Proc. 2025 IEEE Pune Section Int. Conf. (PuneCon), Pune, India, 2025, pp. 1–6, doi: 10.1109/PuneCon67554.2025.11377862.
● R. Biswas, S. Das, N. Das, T. Guha, B. Sadhukhan, and S. Munshi, "Enhancing opinion mining with BERT: A comparative study across multidomain app review data," in Proc. 2025 IEEE 1st Int. Conf. Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies (SISIMPACT), Bhopal, India, 2025, pp. 967–978, doi: 10.1109/SISIMPACT67725.2025.11439082.
● K. De Mukhopadhyay, T. Guha, and A. Basu, "AI in the detection of breast cancer and related ethical and legal issues," in Int. Ethical Hacking Conf., Singapore: Springer Nature Singapore, 2025, pp. 91–112.
● D. Bhardwaj, N. Nagabhooshanam, A. Singh, et al., "Enhanced satellite imagery analysis for post-disaster building damage assessment using integrated ResNet-U-Net model," Multimedia Tools Appl., vol. 84, pp. 2689–2714, 2025, doi: 10.1007/s11042-024-20300-0.
● P. Geetha, S. Ajitha, M. Jyothirmayi, T. Guha, A. Chaturvedi, P. Ganeshan, et al., and A. Iqbal, "Smart operating range monitoring of solar PV cell with integrated phase change materials by using solar deep learning model," Electr. Power Compon. Syst., vol. 52, no. 11, pp. 2147–2158, 2024, doi: 10.1080/15325008.2023.2249882.
● M. Sandhu, R. V. Ramana, P. N. Narwade, C. J. Devi, T. Guha, and R. Chauhan, "Revolutionizing radiology: AI-driven innovations in medical imaging," J. Electr. Syst., vol. 20, no. 10s, pp. 2006–2011, 2024.
● R. Sha and T. Guha, "Climate time series prediction with deep learning and LSTM," in Proc. 2023 4th Int. Conf. Smart Electronics and Communication (ICOSEC), 2023, pp. 1631–1637, doi: 10.1109/ICOSEC58147.2023.10276117.
● T. Guha and R. Sha, "Evaluation of flow-based intrusion detection systems using network segmentation," in Proc. 2023 4th Int. Conf. Smart Electronics and Communication (ICOSEC), 2023. (Page numbers and DOI not yet available.)
● R. Gandhi, T. Rajkumar, J. Chandramohan, and T. Guha, "Energy consumption reduction using ant colony optimization in MANET using machine learning techniques," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–5, doi: 10.1109/MysuruCon55714.2022.9972456.
● S. Rabindranath, P. KV, D. BJ, and T. Guha, "License plate detection using computer vision technique with artificial intelligence," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–5, doi: 10.1109/MysuruCon55714.2022.9972497.
● J. A. R and T. Guha, "Categories of LB technique in cloud infrastructure," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–6, doi: 10.1109/MysuruCon55714.2022.9972530.
● P. Nandihal, V. Shetty S, T. Guha, and P. K. Pareek, "Glioma detection using improved artificial neural network in MRI images," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–9, doi: 10.1109/MysuruCon55714.2022.9972712.
● M. Prakash, V. V, F. D. Shadrach, R. Menaha, T. Daniya, and T. Guha, "Improved political optimizer and deep neural network-based resource management strategy for fog enabled cloud computing," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–6, doi: 10.1109/MysuruCon55714.2022.9972618.
● V. K, I. B, S. Kesh, and T. Guha, "Using health sensors, Internet of Things (IoT), and machine learning to determine the potential dangers older people pose to society," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–7, doi: 10.1109/MysuruCon55714.2022.9972514.
● S. Manimekalai, P. B, F. D. Shadrach, V. Lakshmanan, T. Daniya, and T. Guha, "Artificial neural network with extreme learning machine-based wastewater treatment systems," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–6, doi: 10.1109/MysuruCon55714.2022.9972701.
● K. Sushma, M. Jayalakshmi, and T. Guha, "Deep learning for phishing website detection," in Proc. 2022 IEEE 2nd Mysuru Sub Section Int. Conf. (MysuruCon), 2022, pp. 1–6, doi: 10.1109/MysuruCon55714.2022.9972621.
● R. Sha and T. Guha, "Detection of smoking inside the office using deep learning for CCTV camera," in Proc. 2022 Int. Conf. Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 2022, pp. 1–9, doi: 10.1109/ICSES55317.2022.9914319.
● T. Guha and K. G. Mohan, "A hybrid capsule network with attention and Bi-LSTM for opinion mining in texts," Webology, vol. 18, Special Issue on Computing Technology and Information Management, pp. 426–441, Sep. 2021.
● T. Guha and K. G. Mohan, "A hybrid deep learning model for long-term sentiment classification," Webology, vol. 17, no. 2, pp. 663–676, 2021.
● T. Guha and N. Mehala, "Latent semantic analysis in automatic text summarization: A state-of-the-art analysis," Int. J. Intell. Sustainable Comput., vol. 1, no. 2, pp. 128–137, 2021.
● T. Guha and K. G. Mohan, "A CNN LSTM model for IMDB sentiment classification," in Proc. 10th Int. Conf. Recent Engineering and Technology (ICRET), Bengaluru, India, 2020.
● T. Guha, "A survey of automatic text summarization using lexical chains," Int. J. Adv. Res. Comput. Commun. Eng., vol. 7, no. 5, pp. 108–112, 2018.
● T. Guha, "Opinion mining in social media: Unimodal to multimodal sentiment analysis," Int. Adv. Res. J. Sci. Eng. Technol., vol. 5, no. 5, pp. 83–90, 2018.
Title: IoT-Based Wireless Garage Door System
Grantor: Patent Office, India
Design Number: 471358-001
Patent Grant/Design Registration date: 01/01/2026
Title: Smart Digital Wallet
Grantor: Patent Office, India
Design Number: 420183-001
Patent Grant/Design Registration date: 22/08/2025
Title: Work-Life Balance Tracker Device
Grantor: Patent Office, India
Design Number: 421331-001
Patent Grant/Design Registration date: 26/08/2024
Title: Smart Walking Stick
Grantor: Patent Office, India
Design Number: 420174-001
Patent Grant/Design Registration date: 26/08/2024
Title: Medical Device with IoT to alert Alzheimer Patients
Grantor: Patent Office, India
Design Number: 394922-001
Patent Grant/Design Registration date: 14.03.2024
Title: AI-based Arthroscopic Surgical Device
Grantor: Patent Office, UK
Design Number: 6288044
Design Grant date: 15.06.2023
Title: System for Efficient Time Series Sentiment Analysis of User-Generated Data
Grantor: German Patent and Trade Mark Office
Patent Application Number: 20 2022 106 104
Patent grant date: 02.01.2023
Title:Intelligence Classification and Routing of Computer Text using AI Transfer Learning
Grantor: Patent Office, India
Patent Application Number: 202231054491
Patent Publication date: 09.12.2022
Title: Machine Learning Architecture for News Reporting Texts in Social Networks for the Detection of Fake News
Grantor: Patent Office, India
Patent Application Number: 202221057260
Patent Publication date: 14.10.2022
Title: Artificial Intelligence and Computer Vision-Based Smart Accident Detection System to Prevent Accidents through Video Surveillance using Machine Learning and Deep Learning Algorithms
Grantor: Patent Office, India
Patent Application Number: 202241056847
Patent Publication date: 14.10.2022
Title: A System and Method for Breast Cancer Detection using Image Processing Techniques
Grantor: Patent Office, India
Patent Application Number: 202241045341
Patent Publication date: 19.08.2022
Title: Deep Learning Medical Systems for Disease Diagnosis from Patient Structural Deviation Data
Grantor: Patent Office, India
Patent Application Number: 202241030277
Patent Publication date: 03.06.2022
Title: System for Unmanned Intelligent Patrol Electric Vehicles with Mobile Payment
Grantor: German Patent and Trade Mark Office
Patent Application Number: 20 2022 100 691
IPC: G06Q 20/14
Patent grant date: 15.02.2022
CONFERENCES ORGANIZED:
•TPC member and Chair at 2nd International Symposium on Innovations in Computer Vision and Applications (ISICVA 2026), Organized by Department of Computer Science and Engineering, Techno International New Town, Kolkata on 13-14 October 2026. All accepted papers will be published in the Springer Nature series LNNS Book Series (SCOPUS Indexed)
•Program Chair in International Symposium on Innovations in Computer Vision and Applications (ISICVA 2025) and Editor in Volume 2 of the Proceedings of International Symposium on Innovations in Computer Vision and Applications (ISICVA 2025), published in the Springer Lecture Notes in Networks and Systems series
•Served as TPC member and Session Chair in 3rd International Conference on Data Analytics and Insights (ICDAI-2025) on August 28-30, 2025. All accepted papers have been published in the Springer Nature series LNNS Book Series (SCOPUS Indexed)
•Served as TPC member and Session Chair in Springer 2nd International Conference on Data Analytics and Insights (ICDAI-2024) on July 25-27, 2024. All accepted papers have been published in the Springer Nature series LNNS Book Series (SCOPUS Indexed)
Resource Person:
▪ Invited Lecture on “Redefining Intelligence with Large Language Models” at JIS College of Engineering on 28th March 2026
▪ Resource Person at One Week Faculty Development Program on Mathematical Foundation of Machine Learning (MFML-2024) at TINT, SNU, Kolkata in July 2025, Topic: “Deep Neural Nets: Unveiling Insights and Applications”
▪ Resource person at Amity School of Engineering and technology, Amity University Patna in September 2025, topic: “Deep Learning” FDP
▪ Resource person at Dayanand Sagar University, Bangalore, in August 2022, topic: “Intellectual Property Rights”
▪ Resource Person at ‘Machine Learning and Deep Learning’, a five-day FDP organized at Presidency University in July 2021
▪ Resource Person at ‘Advanced Python Programming’, a five-day FDP organized at Presidency University in July 2018
