ICCIDC 2025 is a premier global event focused on the latest advancements in computational intelligence and data communication technologies. ICCIDC 2025 will cover a wide range of topics including artificial intelligence, machine learning, data mining, signal processing, network protocols, wireless communication, and data security, among others. With keynote addresses, technical sessions, workshops, and networking opportunities, the conference provides an excellent platform for participants to exchange ideas and showcase their groundbreaking research. As an inaugural event, ICCIDC 2025 is poised to set the stage for future discussions and collaborations that will drive the evolution of computational intelligence and data communication, paving the way for next-generation innovations.
Unlike general AI and data communication conferences, ICCIDC 2025 emphasizes the synergistic integration of computational intelligence and data communication to solve real-world problems. The conference aims to bridge gaps between AI-driven computation, networking, and emerging communication paradigms. Many conferences focus exclusively on AI or networking, but ICCIDC 2025 promotes a multi-disciplinary discussion covering: computational intelligence (machine learning, deep learning, soft computing); Future communication systems (5G/6G, IoT, edge computing, blockchain and Real-world applications (healthcare, cybersecurity, smart cities, fintech).
Table of Contents:
1 Artificial intelligence in supply chain optimization: data driven strategies
Sharath Chandra Macha and Sharath Chandra Kondaparthy
2 Two-element narrowband planar fork antenna operating at 23.80 GHz
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
3 A hybrid fin-shaped narrowband antenna for wireless applications
Aayush Kumar Singh, Ashish Raj, Tanweer Ali, Jagadeesh Chandra R. B and Soumil Jain
4 Enhancing motor-imagery BCI robustness for edge computing applications
Siddhartha Modi,Abhinav Verma and Sandhya Parasnath Dubey
5 Comparative study of unsupervised and supervised learning analysis for the credit card
fraud identification
Hitha L and Sandhya Prashanth Dubey
6 Golden ratio assisted localization for wireless sensor network
Hitesh Mohapatra and Soumya Ranjan Mishra
7 Automated detection of chronic kidney disease using deep learning
Bindi Bhatt, Pooja Bhatt and Hima Bindu
8 Deepfake image detection using different combinations of vision transformers and CNNs
Soumya Ranjan Mishra and Hitesh Mohapatra
9 Attention guided multimodal learning for classification of oral lesions using histopathology
and clinical data
Divya Rao
10 Classification of target and non-target stimuli based on EEG signal during n-back working
memory task
Shrishail Bhat, Ananthakrishna Thalengala, Subramanya G. Nayak and
Iqbal Ahammed A Kaladgikar
11 Evaluating the impact of preprocessing on deep learning-based dental decision support
systems
Anupama S and Veena Mayya
12 Enhancing SQL injection detection: a comparative study of SVM, Random Forest and
hybrid models
Adithya Rao Kalathur, Vaishnavi and Balachandra Muniyal
13 Automation of Android-based actions using large action models
Sambhav Nath Jain, Jason Shaun Dmello, Rudra Patel, Mamatha Balachandra,
Roshan David Jathanna, Sharmila Mani and Piyush Agrawal
14 Sex-specific ADHD pattern discovery: a hybrid machine learning approach using functional
and social-clinical data
Vaibhavi Jadhav, Shreya Mannurkar, Mahima Kamble, Iram Mulla, Rajashri khanai,
Ryan Dias, Salma Shahapur and Prathamesh Redekar
15 Using machine learning to investigate the effects of gray and white matter differences on
balanced brain activity
Kalpana G Gosar and Rajshekhar M Patil
16 Automated skin cancer detection using deep learning techniques and image processing
Dilna U., K. Bhavana, Priyanka S. and Pranay Verneker
17 Enhancing unsharp masking with guided filtering and local contrast enhancement for
improved perceptual quality
Gajendra S. Kundar, Ancilla Juliet Pinto and Neelima Bayyapu
18 Assessing α-F fading characteristics: outage and throughput metrics for SC-aided AF relay
systems
Darilangi S. Lyngdoh and Rajkishur Mudoi
19 Evaluating classification models in machine learning for cardiovascular risk prediction
Aditya Vardhan Bayya, Jaya Prakash Vemuri and Satish Chandra
20 A multimodal machine learning framework for ADHD diagnosis and gender classification
using neurobehavioral data
S. Srija, Madhura Patil, Shubham Verma, Abhishek Sutar, Amey Muchandi and
Salma Shahapur
21 Elucidating upon the mystical stigmas of ADHD
Vittal Nesaragi, Shreya Gandroli, Aastha Mishra, Siddagouda Patil and Salma Shahapu
22 Decoding attention: predictive modeling of ADHD using multi-modal data and ML
Adarsh Kakatkar, Aditya Deshpande, H B Samruddi, Bhargavi Kantratdar, Rajashri Khanai
and Salma Shahapur
23 Differential expression of ADHD traits across genders using functional connectivity and
metadata
Disha Jadhav, Ritu Jotawar, Harshit Baliyan, Prakhar Shreshtha, Rajashri Khanai and
Salma Shahapur
24 PreAcoustix: A modular framework for bioacoustic signal preprocessing
Shanmukharaja M, Veena Mayya, Gururaja K V and B Dinesh Rao
25 Optimizing FPGA-based data communication: performance evaluation of hybrid network□on-chip architecture for low latency and high throughput
Prajwal Ganapati Bhat and Akshatha K R
26 Design of a 4-Bit carry select adder with high speed and low power using 45 nm technology
Anoop A Hanchate and Navya K.T
27 Foggy image processing: enhancement and reconstruction approaches
Yukta G. More, Vaishnaw G. Kale, Bahubali Shiragapur and Sulaxan Jadhav
28 YOLOv5 for palm tree localization and classification for environmental and agricultural
applications
Manju Gopal M and Shilpa Suresh
29 An effective technique to forecast company stock prices using machine learning models
Sangeeta Sangani, Rudragoud Patil, Kavita Hanabaratti and Shambhavi C. Kamkar
30 Machine learning approaches of large intelligent surface to assist 6G-IoT applications: a
holistic review
Pinakshi De, Biswaraj Sen, Sourav Dhar and Saumya Das
31 Emotion classification from speech using BiLSTM and CNN
Aryan Suchdev, Vrinda Bindal, Usha Jain and Sushama Tanwar
32 ChainSecWSN: A blockchain-driven algorithmic framework for secure node authentication
and data transmission in wireless sensor networks
Ritu Shree and Meenakshi Pareek
33 Performing ETL and analyzing Olympic data using Azure services
Kedaresh Inamdar, Radhika Kamath, Aniruddha S and Mamatha Balachandra
34 Dual-stage detection of MITM attacks using PCA and ensemble machine learning
Saswati Chatterjee, Mukesh Choudhary, Rinkal Dharmesh Sarvaiya, Saumil B Trivedi,
Sumit Kumar Soni and Mohit Waghela
35 ImageNation: Synergizing VQGAN and CLIP for high-fidelity text-to-image generation
Arnab Bhattacharyya, Dwaipayan Biswas, Rahul Sharma, Shahid Aktar Mandal and
Biswarup Mukherjee
36 SWASTHYA AI: Proactive & Personalized Healthcare with AI
Kusuma S, Priyanshu Kumar, Prarthana Hegde, Syeda Zainab Bokhari and Vikhilesh B Sakhare
37 Performance analysis of mixed logic decoders using cylindrical FinFET technology at
22 nm node
Amruteja B N, Parth Dangi and Shounak De
38 Media bias and news personalization through AI: A systematic review
Sanjay Pandey
39 AI-Driven fish disease diagnosis: A hybrid fusionNet19v4 approach
Mushtaq Ahmed D M and S R Mani Sekhar
40 Advanced deep face detection: leveraging multi-model data and explainable AI for
improved performance
Santosh Reddy P, Syeda Minhajul Sajideen, Brunda K P, Rakshitha G L and Ananya GS
41 Improving stroke prediction with deep learning models using tabular medical data
Karanth Shyam Subraya, Samanvitha Thanugundla and Ancilla Juliet Pinto
42 Responsible AI in journalism and public discourse
Renu Garg, Pooja Singh and Sanjay Pandey
43 Comparative analysis of deep learning models for semantic segmentation and classification
on high-resolution aerial imagery
Pranav Pradip Chippalkatti, Pournima Natraj Sutar, Saloni Uday Deshmukh,
Raju Prakash Gurav and Atharva Rajendra Kanchan
44 A unified framework for cross-platform dynamic social network analysis and knowledge
integration
Subrata Paul, Raj Kumar Samanta, Anirban Mitra and Chandan Koner
45 AI-Powered intrusion detection system for IoT networks using hybrid learning models
Jagdish Makhijani, Yograj Sharma and Yashawant Pathak
46 IoT-Enabled health monitoring system with machine learning for real-time risk assessment
Soham Mali, Aditya Koli, Pradeep Awubaigol, Afifa Shaikh, Salma Shahapur and
Amey Muchandi
47 A critical review of data leakage detection and prevention techniques: performance
assessment and research gaps
Sheetal Tambe Aher and Pankaj Chandre
48 Survey on deep fake face detection techniques
Bindiya AJ and Anitha N
49 Facial emotion recognition of occluded images using CNN models
Shubham Anilkumar Mahajan, Soham Maskara and Sushama Tanwar
50 Global Optimization: A Review 300
Om Prakash, Saumya Das, Hashinur Islam and Amit Ranjan
51 IoT, Big Data, and marketing analytics: ensuring data security in real-time customer insights
Bollu Sharath Kumar, Suman Naredla and Geetha Manoharan
52 Integration of natural language processing and machine learning for stock market sentiment
analysis
S Vimal Kumar, Kafila and Geetha Manoharan
53 Real-time marketing analytics: Using Big data and machine learning to drive digital
campaigns
Bollu Sharath Kumar, Suman Naredla and Geetha Manoharan
54 Financial time series prediction using machine learning: methods, models, and performance
Samuel Singh, Kafila and Geetha Manoharan
55 Automated workforce scheduling: the future of HRM with AI and optimization algorithms
Suresh Babu Rajoli and Geetha Manoharan
56 Marketing analytics in the age of Big data and cloud computing: enhancing ROI through
data-driven insights
Bollu Sharath Kumar, Suman Naredla and Geetha Manoharan
57 The integration of machine learning and NLP for optimizing human resource management
Krishnaveni Subramani and Geetha Manoharan
58 Enhancing online banking security: the impact of blockchain on financial data protection
Kuchana Sambasivudu, Kafila and Geetha Manoharan
59 Securing financial transactions through blockchain, IoT, and DevOps collaboration
Kuchana Sambasivudu, Kafila and Geetha Manoharan
60 AI and IoT integration in green HRM: a framework for eco-friendly talent management and
optimization
Lakshmikanth Raja and Geetha Manoharan
61 Transforming employee performance assessment in green HRM with AI and environmental
metrics
Lakshmikanth Raja and Geetha Manoharan
62 Machine learning in HR: predicting employee performance and its impact on human resource
management
Suresh Babu Rajoli and Geetha Manoharan
63 Survey on security and trust guarantee in fog computing environment
Pavan Mulgund and Anitha N
64 SAAE-PT: A semantic-aware adaptive estimator for XML selectivity using machine learning
Muath Alrammal and Nourchène Elleuch Ben Ayed
65 Medical image encryption using adaptive key generation and hybrid chaotic maps with
multi-round diffusion
Vash itha HG and Anita S Kini
66 Artificial intelligence in cervical spinal imaging: a review of deep learning segmentation models
Noel Veigas, Dasharathraj K. Shetty, Girisha S., Prithvishree Ravindra, Praveen Shastry
and Shyamasunder Bhat N.
67 HyBERT: A transformer-based hybrid framework for fine-grained sentiment analysis
Anushree Goud and Bindu Garg
68 High-Isolation UWB MIMO antenna design and optimization using DGS for future mm
Wave wireless systems
Hashinur Islam, Noor Ayesha, Raaja Sree A.B., Ruksana, Rakshitha H. R., Ruksana Begum
and Saumya Das
69 Transfer learning for corn leaf disease detection: experimental comparison of MobileNetV2
and EfficientNetB0
Debasish Nayak, Nitin Anand, Tanuja Prusty and Saumya Das
70 Energy efficient IoT enabled smart irrigation system leveraging LoRa technology
Vatsala Sharma, Pratibha kumari, Neelu, Saumya Das, Nitin Anand and Rakesh Kundu
71 Evaluating the impact of static and dynamic network bandwidth on checkpointing-based
fault tolerance in distributed systems
Suhel Ahmed Khan, Harsh Mathur and Jagdish Makhijani
72 Instance segmentation and contrastive clustering techniques for white blood cell analysis
Akshathaa Avinash Annadhani, Bhavana Baalebail, Dashrathraj K. Shetty,
Sharanya G. Hegde, Deekshith R. Prabhu, Phani Kumar Pullela and Namesh Malarout
73 Designing efficient algorithms for seamless integration of blockchain-based data
management in IoT applications
Abhijeet Cholke, V. V. Mandhare and P. S. Vikhe
74 Optimizing sales forecasting: an industry-specific framework for methodology selection
Rajneet Kaur, Srijanie Banerjee, Manish Sinha and Aditi Rajput
75 Artificial intelligence in B2B decision-making: improving partner selection and business
partnerships
Geetha Manoharan, Gargi Sarma, Amarjeet Singh, Mansi Batra Kawatra, Rubaid Ashfaq
and Amit Kumar Jain
76 The role of NLP in AI and blockchain integration for improved customer insights and
marketing strategies
Radhakrishnan P., Sapna Mathur, Monika Sharma, Anand A. Kopare,Vir Pratap and
Nidal Al Said
77 Blockchain and machine learning for fraud detection in e-commerce transactions
Radhakrishnan P., M. Muthukumaresan, K. Visala, B. Sambath Kumar, V. K. Ajay and
B. Raja Mannar
78 The impact of blockchain technology on securing financial data and preventing cyber
attacks in online banking
Kafila, Siddhesh S. Narvekar, Vivek Pimplapure, Dharini Raje Sisodia,
Mohammed Faez Hasan and Tamil Selvan M
79 Data-driven marketing: real-time insights using big data and machine learning techniques
Bhavana Jamalpur, Rajesh Gupta, Dipesh Uike, Monika Sharma, Ronak R. Modi and
Anupam Pareek
80 Sentiment analysis and social media data: enhancing digital marketing strategies through
machine learning
Geetha Manoharan, Abhishek Vaishnava, Anand A. Kopare, M. Chalapathi Rao,
Meetika Sharma and M. K. Sharma
81 Machine learning methods for financial time series prediction: techniques and challenges
Avneesh Kumar and Kumari Tripti
82 Smart scheduling in human resource management: the role of AI and algorithmic optimization
Geetha Manoharan, Nivedita Pandey, Sandip Chandra, Rashmi Gupta, Aneesya Panicker
and M. K. Sharma
83 The role of blockchain technology in preventing cyber attacks and securing financial data in
online banking
Kafila, Alim Al Ayub Ahmed, Pushparaj Kulkarni, Lakshmi Chandrakanth Kasireddy,
T. Jayapratha and Vivek Pimplapure
84 Multiple crop disease detection with optimized Vision Transformers
Shital Karande and Bindu Garg
85 Evidence-based strategies for safe and effective AI integration in clinical practice: a review
Deekshith R. Prabhu, Dasharathraj K. Shetty, Manu Sudhi, Sharanya Hegde,
Namesh Malarout and Ishaan Raina
86 Explainable AI-based system for automated detection of cardiovascular disease detection
from ECG images: a theoretical review
Anoop P., K. Sindhu Kamath, Dashrathraj K. Shetty, Sharanya G. Hegde,
Deekshtih R. Prabhu, Phani Kumar Pullela and Praveen Shastry
87 Optimized data mining algorithms for enhancing accuracy in plant disease detection and
management system
Swapnil Vinayak Wagh and Ruchi Sharma
88 Construction of dynamic S-boxes with improved strict avalanche criteria
Bore Gowda S B and Hemanth Kumar A R
89 Survey on adaptive AI techniques for QoS and privacy preservation in multi-user 6G
networks
Anil Kumar K. B. and Siddartha B. K.
90 When news knows you: Rethinking journalism in the age of AI personalization
Bhavesh Chhipa, Rahul Babu Kodali and Prabhat Dixit
91 Skin disease detection using artificial intelligence in healthcare industry
Proloy Ghosh, Arindam Saha, Sayan Mondal, Souptik Halder, Soumyajit Banerjee and
Rohan Pal
92 eXplainable AI-based machine learning model for concrete compressive strength prediction
Abhinav Pandey, Surendra Kumar, Shiwam Pratap Singh, Ved Prakash,
Sandeep Singh Sikarwar and Abizer Safdari
93 Autonomous vehicle using artificial intelligence and deep learning
Anees Fathima, Noor Ayesha, Zahira Tabassum, Sufia Banu, Afroz Pasha and Abdul Azeez
94 Cognitive visualization: leveraging AI to uncover hidden patterns in Big data
Priyanka Pawar, Anagha Kulkarni, Bhavana Pansare and Prajakta Pawar
95 Detection of areca nut diseases using hybrid deep learning technology
Shamanth H.C., Prema K.V. and Shaleen Bhatnagar
96 The role of machine learning in enhancing digital marketing automation and ROI
Sreenivas Thandava, Monika Sharma, Amarjeet Singh, Martin Selvakumar Mohanan,
R. Kavitha and Keerthipati Kumar
97 Colon cancer detection using VGG16 and XAI methods
Anvaya Solanki, Dewansh Gopani, Monika Mangla and Deepak Kumar
98 MediQuery multimodal retrieval augmented generation system for chest X-Ray analysis
Tanishk Soni, Yogita Gigras, Asha Sohal and Vandana Khanna
99 A review of artificial intelligence’s influence on human cognition and ethical decision-making
Pulkit Sharma, Shubham Kumar and Prabhat Dixit
100 Model of online education: enhancing student Engagement through the four-quadrant approach
Bharti, Maani Dutt and Anand Pandey
101 Exploring media and society through Hindi cinema: the contribution of IPTA theatre artists
to social change
Sachin Pratap Singh
102 Enhancing cloud-based security frameworks for robust user data protection and privacy
preservation 594
Swapnil M. Gagare and Nandkumar Kulkarni
103 Image segmentation for LULC classification using SegFormer and ADE20K mapping
Siddalingappa C. Gandh, Shilpa Suresh, Pavan Hiremath, Asha C S and
Vireshkumar G Mathad
104 PWM Facial expression analysis for dynamic classroom feedback: a new approach to student
behavior assessment
Balvinder Singh Gurudatta and Lalji Prasad
105 Macroeconomic signal processing for metaverse valuation: a machine learning approach
using ridge regression
Serena Samson, Rinushka Sinha, Apoorva Joshi and Neha Parashar
106 Surgical visualization and augmented reality: enhancing precision and outcomes in the
operating room
Bhavana Pansare, Anagha Kulkarni and Priyanka Prabhakar Pawar
107 Elliptical slotted circular dual-port UWB MIMO flexible antenna for wearable applications
Vikash Kumar Jhunjhunwala, Tanweer Ali and Pramod Kumar
108 Association analysis with frequent pattern growth and genetic algorithm for recommendation
system
Susi Eva Maria Purba, Samuel Situmeang, Panji Situmorang and Hesti R. J. A. Siagian
109 Recent studies on enhancing breast cancer histopathology image analysis using neural
architecture search, graph neural network, and generative adversarial networks
Aruna Devi Karuppasamy, Rolou Lyn Maata and Salvacion Mata
110 AI-powered disease characterization in colorectal and inflammatory bowel disorders
Santanu Mishra, Shiran Shetty, Dasharathraj K. Shetty, Balaji Musunuri and Noel Veigas
111 AI-powered fact-checking systems: accuracy, limitations, and influence on misinformation control
Aanchal Prajapati, Govind Kumar and Laxmi Mishra
112 AI-Powered crop yield forecasting using multispectral satellite data and LSTM-based
sequence models
Mohammed Nadeem, Chiang-Ju Chien and Khemraj Sharma
113 Personalizing digital career management in academia: modelling the impact of career stage
on perceptions of DOCMS
Timsy Kakkar and Bharti
114 Financial performance and qualitative drivers of fintech NBFCs in India through an
integrated analytical framework 671
Priya Gupta, Anshul Yadav, Yuktika Duggal, Yashika Choudhary, Pulkita Thakran and
Anon G. Binu
115 Digital innovation and automation in private sector: a roadmap for booming private sector
enterprises in India
Abha Rani
116 Explainable AI for zero-shot and few-shot learning: a hybrid knowledge-driven perspective
T. Sarathamani, Ritam Rajak, Saumya Das, Indra Vijay Singh and Soumyadeep Sil
117 Digital innovation in welfare delivery: a qualitative case study-based assessment of
Aadhaar-based automation and rural exclusion in India
Gargee Sarkar
118 High frequency ultrasound image analysis using AI in dermatological assessment
Anagha Kulkarni, Priyanka Pawar, Bhavana Pansare and Harshal Raje
119 Advancing purchase intention prediction: a novel model for evaluating advertising appeal
efficacy
Maani Dutt and Bharti
120 Dermascopic and non-Dermascopic image classification using deep learning
Santushti Betgeri, Rashmi Ashtagi, Ranjeet Bidwe, Soham Surdas, Saif Khan,
Soham Kasurde and Rahul Sakpal
121 Digital twin integration in edge-enabled robotics: a real-time framework for synchronization,
simulation and maintenance
Bhavana Pansare, Anagha Kulkarni and Priyanka Prabhakar Pawar
122 Comparative evaluation of AI models for mood recognition in Turkish music: a machine
learning and deep learning approach
Sampurna Roy, Tanupriya Choudhury, Ayan Sar and Sheetal Kusal
123 Artificial intelligence in entrepreneurship: a comprehensive review of adoption patterns,
challenges, and strategic implementation in early-stage ventures
Namesh Malarout, Sandeep S Shenoy, Dasharathraj K Shetty, Noel Veigas,
Shreepathy Ranga Bhatta, Nikita Panwar and Ruth Samantha Almeida
124 Agentic systems in emergency medicine: a comprehensive review
Manu Sudhi, Dasharathraj K Shetty, Jayaraj Mymbilly Balakrishnan and Noel Veigas
125 Deep learning applications in post-operative ACL reconstruction imaging: a review of
models, effectiveness, and clinical challenges
Praveen Shastry, Dasharathraj K Shetty, Jayaraj Mymbilly Balakrishnan, Sharath K Rao
and Noel Veigas
126 Stro-VIGRU: defining the vision recurrent-based baseline model for brain stroke classification
Subhajeet Das, Pritam Paul, Rohit Bahadur and Sohan Das
127 Stock market prediction using News API and deep learning algorithms
Harshil Shah, Dhvani Shah, Dharmil Parekh, Janhavi Patel and Richa Sharma
128 Real-time clinical decision support in smart healthcare using a few-shot multimodal
explainable natural language processing framework
M. Shaheda Begum, A. Hyils Sharon Magdalene, Mesiya Stalin W, Vijaya Raju Madri,
K Raveendra Reddy and P Vanitha
129 Identification of diabetic retinopathy using attention-enhanced CNN and hybrid Vision
Transformer with artificial augmentation
G Sunil Santhosh Kumar, Goda Gangaram, Saraswati Bhakare, Bhukya Arun Kumar,
Vijaya Raju Madri and K. Syam Kumari
130 A neural approach to multi-class emotion detection: implementing BiLSTM with word
embeddings for text analysis
Sampurna Roy, Tanupriya Choudhury, Ayan Sar, Sumit Aich and Sheetal Kusal
131 Advancing Indian sign language recognition: a comparative deep learning study using
YOLOv11, Vision Transformers, and custom CNN architectures
Ayan Sar, Sumit Aich, Sampurna Roy, Tanupriya Choudhury, Pranav Singh and
Shivali Amit Wagle
132 A deep neural network paradigm for enhanced multiclass facial emotion classification
Sumit Aich, Tanupriya Choudhury, Ayan Sar, Pranav Singh, Sampurna Roy and
Priya Dongare-Jadhav
133 Adaptive deep neuro-fuzzy systems for real-time medical diagnosis using wearable IoT
devices
Ram Kumar Solanki, Ganesh Pathak, Prakash G Kadam,Amit R. Gadekar,
Abhijeet Cholke and Vathsala Patil
134 Evaluation of deep learning models for aerial object detection using RGB and thermal
modalities
Akshay Bhat, A. Kotegar Karunakar and K. R. Akshatha
135 Deep learning applications in predictive marketing and customer behaviour analysis
Sreelatha P K, Ashwini R Malipatil and Geeta L S
136 AI-Augmented finance for improving risk assessment and portfolio management
Narendra Ryali, Rajani Kandregula, Sambhana Srilakshmi and Thulasi Bikku
137 Sustainable business practices through AI-Enhanced management and marketing
Kiran Saroj, Anvesha Dubey, Shikha Dwivedi, Yogesh Chandra Joshi, Sandeep Kanaujia
and Sandeep Gupta
138 Human AI collaboration in HR: ethical and strategic implications for employee engagement
Deeptanshu Dwivedi and Rajlaxmi Srivastava
139 The current state of IoT in smart cities: presence and impact
Saniya Batra, Pooja Rawat and Ritu Punhani
140 Design of a deep learning-based breast cancer detection model to support medical analysis
Agus Aan Jiwa Permana, Ni Ketut Kertiasih, Irwan Nur, I Gede Partha Sindu,
I Gede Made Surya Bumi Pracasitaram, N.G. Ayu Putu Harry Saptarini,
Adozinda Soares Gosmão and Teotino Gomes Soares
About the Author :
Professor Bal S. Virdee
is the Director of the Centre for Communications Technology Research Group at London Metropolitan University, London, U.K. He is a Senior Member of IEEE. He received the B.Sc. (Eng.) degree in Communications Engineering from the University of Leeds, U.K., in 1984, and the Ph.D. degree in Electronics Engineering from the University of London, U.K., in 1996. He is the Director of the Centre for Communications Technology within the School of Computing and Digital Media at London Metropolitan University, UK, where he also serves as a Senior Professor of Communications Technology. His transition into academia follows a distinguished career in industry. He has held key positions at leading technology companies, including Philips, where he worked as a Research and Development Engineer, and Teledyne Defence & Space, where he served as a Future Products Developer specialising in advanced communications and radar guidance systems. This indus□try experience informs his teaching and research, bridging the gap between theoretical knowledge and practical application. He has taught at various higher education institutions and remains deeply engaged in curriculum development, mentorship, and academic leadership. His impact extends beyond the classroom through his ser□vice on editorial boards of international journals and an extensive publication record, reflecting his commitment to advancing knowledge in the field. His research portfolio is both broad and impactful, with a strong emphasis on collaborative industry partnerships. His area of expertise includes the Internet of Things (IoT), biomedi□cal sensors, wireless network security, assistive technologies, robotics, digital systems, microwave, millime□tre-wave, and terahertz (THz) wireless systems for terrestrial and satellite applications. He has published over 300 peer-reviewed articles in prestigious journals and conferences, including IEEE Transactions, IEEE Access, and Nature Scientific Reports. His research has attracted significant funding from various national and interna□tional sources., Prof. Virdee is the Chief Editor of Frontiers in Antennas and Propagation and holds several pres□tigious professional designations: Fellow of the Institution of Engineering and Technology (FIET), Chartered Engineer (CEng), and Senior Fellow of the Higher Education Academy (SFHEA).
Dr. Tanweer Ali (Senior Member, IEEE)
is currently working as an Additional Professor with the Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India. He is an active researcher in the field of microstrip, MIMO, DRA, UWB, millimeter wave and Tera-hertz antennas, wireless communication, and microwave imaging. He has been listed in top 2% scientists across the world for the year 2021, 2022, 2023 and 2024 by the pres□tigious list published by Stanford University, USA, indexed by Scopus. He is currently heading Advanced Antenna and Microwave Research Lab at MIT, Manipal. He has published more than 250 papers in reputed web of science (SCI) and Scopus indexed journals and conferences and has filed fifteen Indian patents, of which three have been granted and six have been published. He is serving as Associate Editor of the jour□nal IEEE ACCESS, Scientific Reports of Springer Nature, International Journal of Communication System (Wiley), Security and Privacy (Wiley), Frontiers in Antennas and Propagation, Frontier Publisher, Journal of High Frequency Technologies, Journal of Studies in Science and Engineering, Guest Editor in Discover Sustainability, Springer Nature, Micromachines Journal, MDPI Publisher.
Dr. Jaume Anguera
IEEE Fellow, is co-founder and CTO of the technology company Ignion (Barcelona, Spain) and Professor at Ramon LLull University and member of the Remote-IoT research group. Inventor of more than 150 granted patents, most of them licensed to telecommunication companies. Among his most out□standing contributions is that of inventor of Antenna Booster Technology, a technology that fostered the creation of Ignion. Many of these products have been adopted by the wireless industry worldwide, to allow wireless connectivity through a miniature component called an antenna booster. Author of more than 250 scientific papers and international conferences. Author of 7 books. He has participated as principal researcher in more than 22 research projects financed by the Spanish Ministry, CDTI, CIDEM, and the European Commission for an amount exceeding 7M$.
Dr. Suman Lata Tripathy
is working as Professor in the Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), India. She has completed her Ph.D in the area of microelectronics and VLSI from MNNIT, Allahabad. She did her M.Tech in Electronics Engineering from UP Technical University, Lucknow and B.Tech in Electrical Engineering from Purvanchal University, Jaunpur. She is post-doc researcher at NTU, UK. She has published more than 65 research papers in refereed journals and conferences. She has organized a number of workshops, summer internships and expert lectures for students. She has worked as a session chair, conference steering committee member, editorial board member and reviewer in international/ national IEEE Journal and conferences. She has been nominated for the “Research Excellence Award” in 2019, 2020, 2021 at Lovely professional university. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing and advance FET design for IOT and biomedical applications etc.
