Hemachandran Kannan

Hemachandran KannanHemachandran Kannan holds the Area Chair of the Analytics Department at Woxsen University. Dr. Hemachandran is an Advisory board member at APT AI Labs, LLC. He has been a passionate teacher with 15 years of teaching experience and 5 years of research experience. He served as an effective resource person at various national and international scientific conferences and also gave lectures on topics related to Artificial Intelligence. He was bestowed as Best faculty at Woxsen University in 2021-2022 and also in Ashoka Institute of Engineering & Technology in 2019 – 2020. He is having rich working experience in Natural Language Processing, Computer Vision, Building Video recommendation systems, Building Chatbots for HR policies and Education Sector, Automatic Interview processes, and Autonomous Robots. He is working on various real-time use cases and projects in collaboration with Industries such as Advertflair, LLC, Course5i and Apstek Corp. He has organized many International Conferences, Hackathons and Ideathon. An open-ended positive person who has a stupendous peer-reviewed publication record with more than 35 journals and international conference publications.

Publications

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI
Exploring Ethical Dimensions of Environmental Sustainability and Use of AI
Hemachandran Kannan, Raul Villamarin Rodriguez, Zita Zoltay Paprika, Abejide Ade-Ibijola. © 2024. 426 pages.
Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that...
Sustainable Solutions for E-Waste and Development
Sustainable Solutions for E-Waste and Development
Rajesh Kumar K. V., Hemachandran Kannan, Dmitry Spodarets, Parvez Alam Khan, Bikash Kumar Pradhan. © 2024. 396 pages.
The burden of global electronic waste, or e-waste, grows heavier by the day, demanding we take a closer look at the obscure hazards lurking within electronic devices. E-Waste...
Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
Raul Villamarin Rodriguez, Hemachandran Kannan, Revathi T., Khalid Shaikh, Sreelekshmi Bekal. © 2024. 325 pages.
Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is...
Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments
Harnessing Blockchain-Digital Twin Fusion for Sustainable Investments
Syed Hasan Jafar, Raul Villamarin Rodriguez, Hemachandran Kannan, Shakeb Akhtar, Philipp Plugmann. © 2024. 441 pages.
The pressing challenge of aligning cutting-edge technologies with environmental sustainability has emerged as a pivotal issue. As the demand for green investment strategies...
AI Impacts in Digital Consumer Behavior
AI Impacts in Digital Consumer Behavior
Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan. © 2024. 372 pages.
In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a...
Enhancing and Predicting Digital Consumer Behavior with AI
Enhancing and Predicting Digital Consumer Behavior with AI
Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan. © 2024. 380 pages.
Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and...
Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence
Kamal Kant Hiran, K. Hemachandran, Anil Pise, B. Justus Rabi. © 2023. 359 pages.
Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big...
A Systematic Literature Review of Reinforcement Algorithms in Machine Learning
A Systematic Literature Review of Reinforcement Algorithms in Machine Learning
Gabriel Kabanda, Hemachandran Kannan. © 2023. 17 pages.
Reinforcement learning (RL) is learning from interactions with the environment in order to accomplish certain long-term objectives connected to the environmental condition....