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Speakers
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<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/Narendra_Ahuja.jpg"
alt="Prof. Narendra Ahuja"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://ece.illinois.edu/about/directory/faculty/n-ahuja"
target="_blank"
class="fw-bold text-decoration-none"
>Prof. Narendra Ahuja</a
>
</h3>
<p class="text-muted fw-bold">
University of Illinois at Urbana Champagn
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Professor Narendra Ahuja is a Research Professor in the Dept. of
Electrical and Computer Engineering, Beckman Institute, and
Coordinated Science Laboratory at University of Illinois at
Urbana-Champaign (UIUC). During 2013-2019, he was the Founding
Director of Information Technology Research Academy (ITRA), a
national initiative started by the Ministry of Electronics and
Information Technology, Government of India, to pilot a new
model of enhancing the quality of advanced technical and related
education across India
(https://itra.digitalindiacorporation.in/). He has also served
as the Founding Director of the first IIIT (IIITs are dedicated
to IT and its applications), at Hyderabad. He is a fellow of
IEEE, American Assoc for Artificial Intelligence, Intl.
Association for Pattern Recognition, Assoc for Computing
Machinery, American Assoc for the Advancement of Science, and
Intl. Society for Optical Engineering. His research is in
Artificial Intelligence fields of computer vision, pattern
recognition, machine learning, image processing and their
applications, including on problems in developing societies.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk :</span>
Human Activity Recognition - Dance Modelling and Analysis
</p>
<p>
<span class="text-muted fw-bold">Abstract:</span>
Dance experts often view dance as a hierarchy of information,
spanning low-level (raw images, image sequences), mid-levels
(human poses and bodypart movements), and high-level (dance
genre). We propose a Hierarchical Dance Video Recognition
framework (HDVR). HDVR estimates 2D pose sequences, tracks
dancers, and then simultaneously estimates corresponding 3D
poses and 3D-to-2D imaging parameters, without requiring ground
truth for 3D poses. Unlike most methods that work on a single
person, our tracking works on multiple dancers, under
occlusions. From the estimated 3D pose sequence, HDVR extracts
body part movements, and therefrom the dance genre. The
resulting hierarchical dance representation is explainable to
experts. To overcome noise and interframe correspondence
ambiguities, we enforce spatial and temporal motion smoothness
and photometric continuity over time. We use an LSTM network to
extract 3D movement subsequences from which we recognize dance
genre. For experiments, we have identified 154 movement types,
of 16 body parts, and assembled a new University of Illinois
Dance (UID) Dataset, containing 1143 video clips of 9 genres
covering 30 hours, annotated with movement and genre labels.
Experimental results demonstrate that our algorithms outperform
the state-of-the-art 3D pose estimation methods, which also
enhances our dance recognition performance.
</p>
<p>
<span class="text-muted fw-bold">Research Interests :</span>
Computer Vision, Robotics, Image Processing, Sensors, Pattern
Recognition, Virtual Environments, Intelligent Interfaces
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/Mohan_Kankanhalli.jpg"
alt="Prof. Mohan Kankanhalli"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.comp.nus.edu.sg/cs/people/mohan/"
target="_blank"
class="text-decoration-none fw-bold"
>
Prof. Mohan Kankanhalli</a
>
</h3>
<p class="text-muted fw-bold">
School of Computing, National University of Singapore
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Mohan Kankanhalli is Provost's Chair Professor of Computer
Science at the National University of Singapore (NUS). He is
also the Dean of NUS School of Computing. Before becoming the
Dean in July 2016, he was the NUS Vice Provost (Graduate
Education) during 2014-2016 and Associate Provost during
2011-2013. Mohan obtained his BTech from IIT Kharagpur and MS
& PhD from the Rensselaer Polytechnic Institute. Mohan's
research interests are in Multimedia Computing, Computer Vision,
Information Security & Privacy and Image/Video Processing.
He has made many contributions in the area of multimedia &
vision - image and video understanding, data fusion, visual
saliency as well as in multimedia security - content
authentication and privacy, multi-camera surveillance.
</p>
<p>
He directs N-CRiPT (NUS Centre for Research in Privacy
Technologies) which conducts research on privacy on structured
as well as unstructured (multimedia, sensors, IoT) data. N-CRiPT
looks at privacy at both individual and organizational levels
along the entire data life cycle. N-CRiPT, which has been funded
by Singapore's National Research Foundation, works with many
industry, government and academic partners. He earlier directed
the SeSaMe (Sensor-enhanced Social Media) Centre during
2012-2018. SeSaMe did fundamental exploration of social
cyber-physical systems with applications in social sensing,
sensor analytics and smart systems.
</p>
<p>Mohan is a Fellow of IEEE.</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span
>Privacy-aware Multimedia Analytics
</p>
<p>
<span class="text-muted fw-bold">Abstract :</span>In this talk,
we present our research on privacy-aware multimedia analytics.
We will present three works covering different aspects of
multimedia analytics. The first work is about privacy protection
against machines. Utilizing machine learning and big data,
algorithms often act as a tool for privacy violation, by
automatically selecting content with sensitive information, such
as photos that contain faces or vehicle license plates. The key
idea is to perturb images using adversarial machine learning to
protect image attributes privacy, while ensuring the images are
not degraded. We conducted an experimental study to explore
factors that influence human sensitivity to visual changes,
which led to the concept of a human sensitivity map. Using this
map, a human-sensitivity-aware image perturbation model is
developed that can subtly alter an image such that sensitive
attributes like gender are misclassified. The second work
concerns privacy-preserving analytics on images. Attributes such
as emotions, gender and age in images and videos are important
for many applications. Existing methods extract this information
from faces in the images. However, faces raise serious privacy
concerns as they reveal people's identity. We first did an
eye-tracking based human study of age, gender, and emotion
prediction of people in images under various identity preserving
scenarios - obfuscating eyes, lower face, head or the full face.
Motivated by this study, we successfully developed a deep
learning model for attributes prediction under
privacy-preserving conditions and we present its results. The
third work concerns training machine learning models where data
sets cannot be shared due to privacy regulations (e.g., from
medical studies). A simple yet unconventional approach for
anonymized data synthesis can enable third parties to benefit
from such valuable data. We propose learning implicitly from
visually unrealistic, task-relevant stimuli, which are
synthesized by exciting the neurons of a trained neural network.
Neuronal excitation serves as a pseudo-generative model, and can
be extended to inhibit representations that are associated with
specific individuals, thus providing privacy. The stimuli data
is then used to train new classification models. Experiments on
MNIST and sleep apnea data show that these models offer
protection against adversarial association and membership
inference attacks. We will end with a general discussion on
privacy concerns related to multimedia analytics.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/santanuchaudhary.jpg"
alt="Prof. Santanu Chaudhary"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://iitj.ac.in/institute/index.php?id=director"
target="_blank"
class="fw-bold text-decoration-none"
>Prof. Santanu Chaudhary</a
>
</h3>
<p class="text-muted fw-bold">
Indian Institute of Technology, Jodhpur
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Professor Santanu Chaudhury, Professor, Department of Electrical
Engineering, IIT Delhi, has assumed charge as Director, IIT
Jodhpur, on 10 December 2018. Professor Chaudhury holds B.Tech.
(Electronics and Electrical Communication Engineering) and Ph.D.
(Computer Science & Engineering) Degrees from IIT Kharagpur.
</p>
<p>
Professor Chaudhury joined as Faculty Member in the Department
of Electrical Engineering, IIT Delhi, in 1992. He was Dean,
Under-Graduate Studies at IIT Delhi. He has served as Director
of CSIR-CEERI, Pilani, during 2016-18. Professor Chaudhury is a
recipient of the Distinguished Alumnus award from IIT Kharagpur.
</p>
<p>
Professor Chaudhury is a Fellow of Indian National Academy of
Engineers (INAE) and National Academy of Sciences (NAS). He is a
Fellow of International Association Pattern Recognition (IAPR).
He was awarded the INSA (Indian National Science Academy) Medal
for Young Scientists in 1993. He received ACCS-CDAC award for
his research contributions in 2012.
</p>
<p>
A keen researcher and a thorough academic, Professor Chaudhury
has about 300 publications in peer reviewed journals and
conference proceedings, 15 patents and 4 authored/edited books
to his credit.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/raghavendraramachandra.jpg"
alt="Prof. Raghavendra Ramachandra"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.ntnu.edu/employees/raghavendra.ramachandra"
target="_blank"
class="fw-bold text-decoration-none"
>Prof. Raghavendra Ramachandra</a
>
</h3>
<p class="text-muted fw-bold">
Norwegian University of Science and Technology (NTNU), Norway
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Raghavendra Ramachandra obtained his Ph.D. in Computer Science
and Technology from the University of Mysore, Mysore India and
Institute Telecom, and Telecom Sudparis, Evry, France (carried
out as a collaborative work) in 2010. He is currently appointed
as a Full Professor at Institute of Information Security and
Communication Technology (IIK), Norwegian University of Science
and Technology (NTNU), Gjøvik, Norway. He was a Researcher with
the Istituto Italiano di Tecnologia, Genoa, Italy, where he
worked with video surveillance and social signal processing. His
main research interests include Deep learning, applied machine
learning, statistical pattern recognition, data fusion schemes,
and random optimization, with applications to biometrics,
multimodal biometric fusion, human behavior analysis, and crowd
behavior analysis. He has authored several papers, holds patents
and is a reviewer for several international conferences and
journals. He was/is also involved in various conference
organizing and program committees and serving as an associate
editor for various journals. He was/is participating (as
PI/Co-PI/contributor) in several EU projects, IARPA USA and
other national projects. He is serving as an editor for ISO/IEC
24722 standards on multimodal biometrics.
</p>
<p>
He has received several best paper awards, and he is also a
senior member of IEEE.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk :</span>Face
Morphing Attacks on Face Biometric Systems : Vulnerability and
Detection
</p>
<p>
<span class="text-muted fw-bold">Abstract :</span>Face morphing
is the process of seamlessly combining the face images from
different data subjects to generate the composite (or morphing)
image that can share the facial characteristics from the
contributing data subjects. Face morphing attacks have shown
high vulnerability on the commercial face recognition system. In
this keynote, deep learning-based based morphed attack
generation will be presented. Further, 3D face morphing
generation will also be discussed. Lastly, part of the talk will
focus on the detection of face morphing attacks.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/sumantra.jpg"
alt="Prof. Sumantra Dutta Roy"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.cse.iitd.ac.in/~sumantra/"
target="_blank"
class="fw-bold text-decoration-none"
>Prof. Sumantra Dutta Roy</a
>
</h3>
<p class="text-muted fw-bold">
Indian Institute of Technology, Delhi
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span
>Sumantra Dutta Roy is a B.E. (Computer Engineering) from
D.I.T., Delhi (1993), and completed his M.Tech and Ph.D. degrees
at the Department of Computer Science and Engineering, I.I.T.
Delhi, in 1995 and 2001, respectively. He started his career in
teaching and research in the Department of Electrical
Engineering at I.I.T. Bombay, where he worked from 2001 to early
2007 as an Assistant Professor. From 2007 to 2018, he was an
Associate Professor in the Department of Electrical Engineering
at I.I.T. Delhi. Since 2018, he has been a Professor in the
Department of Electrical Engineering at I.I.T. Delhi. He is a
recepient of 2004 INAE Young Engineer Award (Indian National
Academy of Engineering), and the 2004 - 05 BOYSCAST Fellowship
of the Department of Science and Technology, Government of
India. He has been an Associate Editor of the Pattern
Recognition Letters since 2011. His research interests are in
Computer Vision and Image Analysis, Video and Image Coding,
Biometrics, Music Information Retrieval, and Medical
Informatics.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk :</span
>Millenial Computer Vision
</p>
<p>
<span class="text-muted fw-bold">Abstract :</span>The talk will
focus on some developments in the field of Computer Vision
starting around the Millenium, which have entered technologies
in our day-to-day life. The talk will feature developments in
geometry, getting more out of ordinary cameras, and some
applications of machine learning.
</p>
<p>
<span class="text-muted fw-bold">Research Interests :</span>
Computer Vision and Image Analysis, Pattern Recognition, Music
Information Retrieval and Analysis, Biometrics, Bioinformatics
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/somnathdey.jpg"
alt=""
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="http://cse.iiti.ac.in/faculty.php"
target="_blank"
class="text-decoration-none fw-bold"
>
Dr. Somnath Dey</a
>
</h3>
<p class="text-muted fw-bold">
Indian Institute of Technology, Indore
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Dr. Somnath Dey is currently working as an Associate Professor
in the Department of Computer Science & Engineering at the
Indian Institute of Technology Indore (IIT Indore). He is also
holding the position of Head of Department of Computer Science &
Engineering at IIT Indore. Earlier, he was Associate Dean
Administration at IIT Indore.
</p>
<p>
He received his B. Tech. degree in Information Technology from
the University of Kalyani in 2004. He completed his M.S. (by
research) and Ph.D. degree in Information Technology from the
School of Information Technology, Indian Institute of Technology
Kharagpur, in 2008 and 2013, respectively.
</p>
<p>
He has published over 40 research articles (including papers in
international journals, conferences and book chapters). He is a
recipient of the Young IT Professional Award (Eastern Region
Level) of Computer Society of India. He is actively involved in
academic and industrial collaboration for research and
development. His research interest includes biometric security,
image processing and pattern recognition. He has a vast
experience of more than 7 years and he has served as TPC
chair/member for several reputed conferences.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk :</span>
Feature Extraction in Fingerprint Liveness Detection
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/rajibjha.jpg"
alt="
Dr. Rajib Kumar Jha"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.iitp.ac.in/index.php/en-us/2-uncategorised/195-view-profile-9"
target="_blank"
class="text-decoration-none fw-bold"
>
Dr. Rajib Kumar Jha</a
>
</h3>
<p class="text-muted fw-bold">
Indian Institute of Technology, Patna
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Dr. Jha completed his M. Tech. and Ph. D. Degree from Indian
Institute of Technology (IIT) Kharagpur in the area of Image
Processing in January 2003 and January 2010 respectively.
</p>
<p>
M.Tech Thesis Title: "A Novel Approach for Watermarking of
Digital Images".
</p>
<p>
PhD Thesis Title: “Improvement of Image Enhancement Segmentation
and Watermark Detection Using Stochastic Resonance”. He has
published more than 20 top Journals and 23 top conferences
papers till date and many papers are in review process.
</p>
<p>
Visiting Scientist in the Department of Information and
Communication Engineering, The Faculty of Engineering, The
University of Tokyo Japan.
</p>
<p>
<span class="text-muted fw-bold">Research Interests:</span>
Image and Video Processing, Medical Image Processing. Computer
Vision, pattern recognition and multimedia systems. Stochastic
resonance.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/bidishasharma.jpg"
alt="
Dr. Bidisha Sharma"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.linkedin.com/in/bidisha-sharma-9baba46a/"
target="_blank"
class="text-decoration-none fw-bold"
>
Dr. Bidisha Sharma</a
>
</h3>
<p class="text-muted fw-bold">Lead Speech Scientist, Uniphore</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Bidisha Sharma a post-doctoral research fellow at Electrical and
Computer Engineering Department, National University of
Singapore, Singapore. Area Of research interest is specifically
in the area of speech processing including text-to-speech
synthesis, speech enhancement, speech recognition and language
processing. Speaker Is also experienced in different
applications of music and singing voice technology and also
enthusiastic for active involvement in applied science and audio
related projects.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/saneemahmed.jpg"
alt="
Mr. Saneem Ahmed"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.linkedin.com/in/saneem-ahmed-chemmengath-74875039/?originalSubdomain=ihttps://dblp.org/pid/207/8036.html"
target="_blank"
class="text-decoration-none fw-bold"
>
Mr. Saneem Ahmed</a
>
</h3>
<p class="text-muted fw-bold">
Research Engineer, IBM Research AI
</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Saneem Chemmengath is a research scientist at IBM Research. His
interests are in core machine learning, computer vision and
natural language processing. In IBM he worked on both
fundamental and specific applications of machine learning
including recommender systems, satellite images, solar panels,
question answering systems, credit card analytics, etc. Saneem
has been working in the areas of AI and ML for the past 10+
years with papers in top ML conferences such as NeurIPS, UAI,
EMNLP, NAACL. Prior to joining IBM he did his Master's by
research from IISc, Bangalore.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span
>Question Answering Systems
</p>
<p>
<span class="text-muted fw-bold">Abstract : </span> Question
Answering is a specialized form of information retrieval. Given
a collection of documents in the form of passages or tables, a
Question Answering system attempts to retrieve correct answers
to questions posed in natural language. In this session, I will
briefly talk about the important concepts in question answering,
their applications and state of the art models using
transformers. I will also cover our recent works on answering
questions over tables and how to make them work on domain
specific documents.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/SaurabhSir.jpg"
alt="
Dr. Saurabh Kumar"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a
href="https://www.lnmiit.ac.in/Department/CSE/Department_FacultyProfile.aspx?nDeptID=120450"
target="_blank"
class="text-decoration-none fw-bold"
>
Dr. Saurabh Kumar</a
>
</h3>
<p class="text-muted fw-bold">Assistant Professor, LNMIIT</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Dr. Saurabh Kumar has received his Bachelor of Engineering
(B.E.) degree in Computer Science and Engineering from
Chhattisgarh Swami Vivekanand Technical University, Bhilai,
India, in 2010, M. Tech in Computer Science from Birla Institute
of Technology, Mesra, Ranchi, India, in 2013, and PhD in
Computer Engineering from Sardar Vallabhbhai National Institute
of Technology, Surat, Gujarat, India, in 2019. He has been
working on the problems of optimized deployment strategy and
localization of nodes and events using IoT for post disaster
management. He has successfully published 13 conference papers
and 4 journals with leading publication houses like ACM, IEEE,
Springer, Elsevier, and Oxford University Press in these fields.
He has been an active researcher in the fields of Internet of
Things, Collaborative data processing, multi-agent systems and
wireless sensor networks. Recently, he was conferred with 2020
Wilkes Award for best paper (runner-up) by Oxford University
Press for his novel work on localization of events for post
disaster management. In the past, he served as an IT Officer for
two years with mining business of the Aditya Birla Group. He is
currently serving as an Assistant Professor in the Department of
Computer Science and Engineering at The LNM Institute of
Information Technology, Jaipur, Rajasthan, India.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span>
Multiagent Systems: Learning Entities and Implementation
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/RamPrakashSir.jpg"
alt="
Dr. Ram Prakash Sharma"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a href="" target="_blank" class="text-decoration-none fw-bold">
Dr. Ram Prakash Sharma</a
>
</h3>
<p class="text-muted fw-bold">Assistant Professor, LNMIIT</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Dr. Ram Prakash Sharma is currently working as an Assistant
Professor in the Department of Computer Science & Engineering at
the Laxmi Niwas Mittal Institute of Information technology
(LNMIIT), Jaipur. He received his Ph.D. degree in Computer
Science and Engineering from Indian Institute of Technology
Indore (IITI) in 2020. He completed his masters from University
of Hyderabad and Bachelors from Rajasthan Technical University.
His research interest includes biometric security, image
processing, machine learning, and pattern recognition. He has
published various research articles in international journals
and conferences.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span>
Feature extraction of fingerprint images using NBIS tool
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/PreetyMam.jpg"
alt="
Dr. Preety Singh"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a href="" target="_blank" class="text-decoration-none fw-bold">
Dr. Preety Singh</a
>
</h3>
<p class="text-muted fw-bold">Assistant Professor, LNMIIT</p>
<hr />
<!-- <p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Dr. Ram Prakash Sharma is currently working as an Assistant
Professor in the Department of Computer Science & Engineering at
the Laxmi Niwas Mittal Institute of Information technology
(LNMIIT), Jaipur. He received his Ph.D. degree in Computer
Science and Engineering from Indian Institute of Technology
Indore (IITI) in 2020. He completed his masters from University
of Hyderabad and Bachelors from Rajasthan Technical University.
His research interest includes biometric security, image
processing, machine learning, and pattern recognition. He has
published various research articles in international journals
and conferences.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span>
Feature extraction of fingerprint images using NBIS tool
</p> -->
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<img
src="./asset/images/IndradeepSir.jpg"
alt="
Dr. Indradeep Mastan"
class="col-md-3"
height="340px"
class="speaker-img"
/>
<div class="col-md-9">
<h3 class="speaker-title">
<a href="" target="_blank" class="text-decoration-none fw-bold">
Dr. Indradeep Mastan</a
>
</h3>
<p class="text-muted fw-bold">Assistant Professor, LNMIIT</p>
<hr />
<p>
<span class="text-muted fw-bold">Brief Introduction :</span>
Indra Deep Mastan is an Assistant Professor in the Department of
Computer Science and Engineering at LNMIIT Jaipur. He has
completed his Ph.D. from CSE at IIT Gandhinagar under the
guidance of Dr. Shanmuganathan Raman. He is working on Computer
Vision using Deep Learning. His interests are in Image
Restoration and Image Synthesis problems.
</p>
<p>
<span class="text-muted fw-bold">Title of the talk : </span>
Generative Adversarial Networks for Image Synthesis
</p>
<p>
<span class="text-muted fw-bold">Abstract : </span>
Generative Adversarial Networks (GANs) are powerful deep
learning tools that have attracted exciting applications such as
synthesis of realistic faces and videos. In this talk, we
provide an overview of GANs and various famous GAN models for
image synthesis tasks.
</p>
</div>
</div>
</div>
<div class="col-12 p-4">
<div class="p-4 speaker-box row" data-aos="fade-right">
<h1 class="text-center">Hands-on/Demonstration Session</h1>
<img
src="./asset/images/matlab.png"
alt="
Matlab"
class="col-md-3"
height="150px"
class="speaker-img"
/>
<div class="col-md-9 d-flex align-items-center">
<h3 class="speaker-title">
<a
href="https://www.mathworks.com/products/matlab.html"
target="_blank"
class="text-decoration-none fw-bold"
>
Matlab</a
>
</h3>
</div>
<hr />
<img
src="./asset/images/Nvidia-Logo.wine.png"
alt="
Nvidia"
class="col-md-3"
height="150px"
class="speaker-img"
/>
<div class="col-md-9 d-flex align-items-center">
<h3 class="speaker-title">
<a
href="https://www.nvidia.com/en-in/"
target="_blank"
class="text-decoration-none fw-bold"
>
Nvidia</a
>
</h3>
</div>
</div>
</div>
</div>
</section>
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