Vivek Kumar Phd

Vivek Kumar Phd
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Vivek verified their affiliation via an institutional email.
Verified
Vivek verified their affiliation via an institutional email.
University of the Bundeswehr Munich · Forschungsinstitut CODE

Doctor of Philosophy
Under the Federal Ministry of Defense, Germany

About

45
Publications
38,548
Reads
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653
Citations
Introduction
Personal Health Interfaces Leveraging Human-Machine Natural Interactions incorporating uses of Deep Learning, Machine Learning, Natural Language Processing, Sentiment Analysis applied to Healthcare Domain.
Additional affiliations
September 2015 - July 2017
National University of Science and Technology
Position
  • Graduate Research Student
January 2014 - August 2015
Laxmipati Group of Institutions
Position
  • Lecturer
Description
  • Inclusive to this I worked as TPO (Head of Training and Placement Department) for the same tenure.
Education
September 2015 - July 2017
National University of Science and Technology
Field of study
  • Computer Science
August 2008 - June 2012
Rajiv Gandhi Technical University
Field of study
  • Electronic and Communication Engineering

Publications

Publications (45)
Conference Paper
Full-text available
Today, we are seeing an ever-increasing number of clinical notes that contain clinical results, images, and textual descriptions of the patient's health state. All these data can be analyzed and employed to cater to novel services that can help people and domain experts with their common healthcare tasks. However, many technologies such as Deep Lea...
Article
Full-text available
The past decade has seen an explosion of the amount of digital information generated within the healthcare domain. Digital data exist in the form of images, video, speech, transcripts, electronic health records, clinical records, and free-text. Analysis and interpretation of healthcare data is a daunting task, and it demands a great deal of time, r...
Article
Full-text available
The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of domain-specific context, hamper the pre-trained language models from optimal and reliable performance....
Article
Full-text available
Research on the analysis of counselling conversations through natural language processing methods has seen remarkable growth in recent years. However, the potential of this field is still greatly limited by the lack of access to publicly available therapy dialogues, especially those with expert annotations, but it has been alleviated thanks to the...
Conference Paper
Full-text available
Large Language Models (LLMs) are being employed by end-users for various tasks, including sensitive ones such as health counseling, disregarding potential safety concerns. It is thus necessary to understand how adequately LLMs perform in such domains. We conduct a case study on ChatGPT in nutrition counseling, a popular use-case where the model sup...
Preprint
Full-text available
Large language models (LLMs) have shown promising capabilities in healthcare analysis but face several challenges like hallucinations, parroting, and bias manifestation. These challenges are exacerbated in complex, sensitive, and low-resource domains. Therefore, in this work we introduce IC-AnnoMI, an expert-annotated motivational interviewing (MI)...
Article
Full-text available
The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other application areas indicates that strong benchmarks are essential for the development of intelligent systems. We present Personal Health Interfaces Leverag-ing HUman-MAchine Natura...
Article
Full-text available
Natural language processing (NLP) is being widely used globally for a variety of value-creation tasks ranging from chat-bots and machine translations to sentiment and topic analysis and multilingual large language models (LLMs). However, most of the advances are initially implemented within the English language framework, and it takes time and reso...
Article
Full-text available
Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproductive information about AI. It is necessary to teach AI topics on a mass scale. While there is a rush to implement academic initiatives, scant attention has been paid to the unique challenges of teachin...
Preprint
Full-text available
Natural language processing (NLP) is being widely used globally for a variety of value-creation tasks ranging from chat-bots and machine translations to sentiment and topic analysis and multilingual large language models (LLMs). However, most of the advances are initially implemented within the English language framework, and it takes time and reso...
Preprint
Full-text available
Our system, VISU, participated in the WASSA 2023 Shared Task (3) of Emotion Classification from essays written in reaction to news articles. Emotion detection from complex dialogues is challenging and often requires context/domain understanding. Therefore in this research, we have focused on developing deep learning (DL) models using the combinatio...
Article
Full-text available
The untraceable part of the Deep Web, also known as the Dark Web, is one of the most used “secretive spaces” to execute all sorts of illegal and criminal activities by terrorists, cybercriminals, spies, and offenders. Identifying actions, products, and offenders on the Dark Web is challenging due to its size, intractability, and anonymity. Therefor...
Article
Full-text available
Advanced artificial intelligence (AI) techniques have led to significant developments in optical character recognition (OCR) technologies. OCR applications, using AI techniques for transforming images of typed text, handwritten text, or other forms of text into machine-encoded text, provide a fair degree of accuracy for general text. However, even...
Article
Full-text available
Virtual users generate a gigantic volume of unbalanced sentiments over various online crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate analysis brings profits to various industries and their services. The state-of-art detects sentiment polarity using common sense with text only. The research work propos...
Conference Paper
Full-text available
Research on natural language processing for counselling dialogue analysis has seen substantial development in recent years, but access to this area remains extremely limited due to the lack of publicly available expert-annotated therapy conversations. In this work, we introduce AnnoMI, the first publicly and freely accessible dataset of professiona...
Chapter
Full-text available
The pandemic that arose due to the novel Corona Virus Disease of 2019 (COVID) has become the biggest challenge of all time. The entire world’s population has stormed social media to express their opinions, emotions, and sentiments. This manuscript implements classical machine and deep learning approaches with static and stacked word embeddings to i...
Preprint
Full-text available
Today, we are seeing an ever-increasing number of clinical notes that contain clinical results, images, and textual descriptions of patient's health state. All these data can be analyzed and employed to cater novel services that can help people and domain experts with their common healthcare tasks. However, many technologies such as Deep Learning a...
Preprint
Full-text available
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing. Previous work on computational modelling of empathy in motivational interviewing has focused on offline, session-level assessment of therapist empathy, where empathy captures all efforts that the therapist makes to understan...
Book
Full-text available
Data has become a valuable asset like never before. Today the challenge is not a shortage of data but the need for techniques and methods capable enough to be able to glean valuable insights from the fast-flowing mass of Big Data. This new volume, Handbook of Research for Big Data: Concepts and Techniques, helps to meet the challenge of managing an...
Chapter
Full-text available
Terrorism has become one of the most tedious problems to deal with and a prominent threat to mankind. To enhance counter-terrorism, several research works are developing efficient and precise systems, data mining is not an exception. Immense data is floating in our lives, though the scarce availability of authentic terrorist attack data in the publ...
Chapter
Sentiment Analysis intends to get the basic perspective of the content, which may be anything that holds a subjective supposition, for example, an online audit, Comments on Blog posts, film rating and so forth. These surveys and websites might be characterized into various extremity gatherings, for example, negative, positive, and unbiased keeping...
Preprint
Full-text available
The vision encompassing Smart and Software-defined Buildings (SSDB) is becoming more and more popular and its implementation is now more accessible due to the widespread adoption of the IoT infrastructure. Some of the most important applications sustaining this vision are energy management , environmental comfort, safety and surveillance. This pape...
Conference Paper
Full-text available
The vision encompassing Smart and Software-defined Buildings (SSDB) is becoming more popular and its implementation is now more accessible due to the widespread adoption of the Internet of Things (IoT) infrastructure. Some of the most important applications sustaining this vision are energy management, environmental comfort, safety and surveillance...
Conference Paper
Full-text available
In medical image processing, the skin lesion segmentation problem plays a vital role, because it is necessary to improve quality of extracting skin lesion features to classify the skin lesion. Hence, imaging diagnosis systems can detect skin cancer early. It is necessary to treat the skin cancer, especially, melanoma – one of the most dangerous for...
Conference Paper
Full-text available
Terrorism has become one of the most tedious problems to deal with and a prominent threat to mankind. To enhance counter-terrorism, several research works are developing efficient and precise systems, data mining is not an exception. Immense data is floating in our lives, though the scarce availability of authentic terrorist attack data in the publ...
Article
Full-text available
As much as data science is playing a pivotal role everywhere, healthcare also finds it prominent application. Breast Cancer is the top rated type of cancer amongst women; which took away 627,000 lives alone. This high mortality rate due to breast cancer does need attention, for early detection so that prevention can be done in time. As a potential...
Preprint
Full-text available
As much as data science is playing a pivotal role everywhere, healthcare also finds it prominent application. Breast Cancer is the top rated type of cancer amongst women; which took away 627,000 lives alone. This high mortality rate due to breast cancer does need attention, for early detection so that prevention can be done in time. As a potential...
Preprint
Full-text available
Terrorism has become one of the most tedious problems to deal with and a prominent threat to mankind. To enhance counter-terrorism, several research works are developing efficient and precise systems, data mining is not an exception. Immense data is floating in our lives, though the scarce availability of authentic terrorist attack data in the publ...
Preprint
Full-text available
In the scope of our work Cross-Language Information Retrieval, the ultimate goal is to develop an intelligent model using non-corresponding corpora of Hindi and English Language. It consists of two phases which are Source Language Sentence Extraction (SLSE) and Model Building for translation. SLSE is the training data for the model and comprising t...
Thesis
Full-text available
This thesis comprises of two research work and has been distributed over Part-I and Part-II. Part-I proposes a pre-processing pipeline to be implemented for similar multilingual corpora of different languages. It revolves around handling Big Data, Cross-Language Information Retrieval of Natural Language Processing. The experiments have been carried...
Conference Paper
Full-text available
Some challenges of developing face recognition system is to train examples of different poses, illuminations, contrast and background conditions. Even though if the system works okay with the tested data set; it fails big time to perform accurately with new data set with different attributes. This manuscript is focusing on the mentioned problem sta...
Conference Paper
Full-text available
When an image is formed, factors such as lighting (spectra, source, and intensity) and camera characteristics (sensor response, lenses) affect the appearance of the image. Therefore, the prime factor that reduces the quality of the image is noise. It hides the important details and information " s of images. In order to enhance the qualities of ima...
Conference Paper
Full-text available
When an image is formed, factors such as lighting (spectra, source, and intensity) and camera characteristics (sensor response, lenses) affect the appearance of the image. Therefore, the prime factor that reduces the quality of the image is noise. It hides the important details and information's of images. In order to enhance the qualities of image...
Conference Paper
Full-text available
The communication systems use concept of smart antennas, which is based on digital signal processing algorithms. In this way, the smart antennas system becomes capable to locate and track signals by the both: users, interferers and dynamically adapts the antenna pattern to enhance the reception in Signal-of-Interest direction and minimizing interfe...
Article
Full-text available
The adoption of smart antenna techniques in future wireless systems is expected to have a significant impact on the efficient use of the spectrum, the minimization of the cost of establishing new wireless networks, the optimization of service quality, and realization of transparent operation across multi technology wireless networks. This paper pre...
Article
Full-text available
The antenna is one of the fundamental distinctions between a wired and a wireless system. The design of the antenna impacts the development of each component-from the circuit design to the receiver structure and coding technique, as well as the channel access protocol-employed in future wireless communication networks. The adoption of smart antenna...
Conference Paper
Full-text available
Noise is an important factor which when get added to an image reduces its quality and appearance. So in order to enhance the image qualities, it has to be removed with preserving the textural information and structural features of image. There are different types of noises exist who corrupt the images. Selection of the denoising algorithm is applic...
Article
Full-text available
Practically in all kind of communication system, more or less losses are involved. To make the system more efficient, it is needed to identify and trace the faults & losses so that suitable techniques can be implemented to eliminate or reduce the losses. In optical fiber communication, optical time domain reflectometry (OTDR) is a commonly used tec...

Questions

Question (1)
Question
I am using jupyter notebook, and i would like to share with my colleagues. What is the appropriate way of sharing it. The second question stands is that if i want to provide restricted access.

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