{"id":6754,"date":"2025-07-16T18:10:07","date_gmt":"2025-07-16T12:40:07","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2025\/?page_id=6754"},"modified":"2025-10-08T22:27:49","modified_gmt":"2025-10-08T16:57:49","slug":"workshop-ai-in-space","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2025\/workshop-ai-in-space\/","title":{"rendered":"Workshop-ai-in-space"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;gcid-1bcf785a-50e1-437b-b09f-65567babc1de&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-2.png&#8221; background_size=&#8221;initial&#8221; background_position=&#8221;bottom_center&#8221; background_repeat=&#8221;repeat&#8221; custom_padding=&#8221;||0px|||&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}&#8221;][et_pb_row _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;7f63b212-a10a-4d30-afa2-e478a747ca88&#8243; header_2_font_size=&#8221;44px&#8221; custom_margin=&#8221;||10px||false|false&#8221; header_2_font_size_phone=&#8221;33px&#8221; custom_css_free_form=&#8221;selector h2{color:white}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><span style=\"color: #ffffff;\"><strong>Sp<span style=\"color: #0000ff;\">Ai<\/span>ce it up!<\/strong><\/span><\/h2>\n<h2><span style=\"color: #ffffff;\"><strong>AI in Space \u2026<\/strong><\/span><\/h2>\n<h2><span style=\"font-size: medium;\"><strong><\/strong><\/span><\/h2>\n<h2><span style=\"font-size: medium;\"><strong><\/strong><\/span><\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Features&#8221; module_id=&#8221;about&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#dbdbdb&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg&#8221; background_blend=&#8221;overlay&#8221; custom_padding=&#8221;1.8%||||false|false&#8221; use_background_color_gradient_phone=&#8221;on&#8221; background_color_gradient_stops_phone=&#8221;#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;522.9px&#8221; custom_padding=&#8221;16px|||||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; min_height=&#8221;35px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h2 style=\"text-align: center;\"><strong>Schedule<\/strong><\/h2>\n<p>[\/et_pb_text][et_pb_text disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; min_height=&#8221;35px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4 style=\"text-align: center;\"><strong>DATE: October 11, 2025<\/strong><\/h4>\n<h4 style=\"text-align: center;\"><strong>Venue: INDIAN AFFAIRS, Chancery Pavilion, Bangalore<\/strong><\/h4>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"WordSection1\">\n<table class=\"MsoNormalTable\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"100%\" style=\"border-collapse: collapse; width: 100%;\">\n<tbody>\n<tr>\n<td width=\"18%\" style=\"width: 20%; border: 1pt solid black; background: #6d9eeb; text-align: center; padding: 6px;\"><b><span style=\"font-size: 10pt; font-family: Arial, sans-serif; color: black;\">Time<\/span><\/b><\/td>\n<td width=\"82%\" style=\"width: 80%; border: 1pt solid black; background: #6d9eeb; text-align: center; padding: 6px;\"><b><span style=\"font-size: 10pt; font-family: Arial, sans-serif; color: black;\">Event<\/span><\/b><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" style=\"border: 1pt solid black; background: #cccccc; text-align: center; width: 100%;\"><b>Tea \/ Coffee Break <\/b><br \/>11:00 AM \u2013 11:30 AM<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1pt solid black; background: #ffefe7; text-align: center; width: 20%;\"><strong>11:30 AM \u2013 11:45 AM<\/strong><\/td>\n<td style=\"border: 1pt solid black; background: #ffefe7; width: 80%; text-align: left;\"><b>Welcome<\/b><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1pt solid black; background: #ffefe7; text-align: center; width: 20%;\"><strong>11:45 AM\u2013 1:00 PM<\/strong><\/td>\n<td style=\"border: 1pt solid black; background: #ffefe7; width: 80%; text-align: left;\"><b>Keynote<\/b><strong> \u2013 Dr. Ramakrishnan Rajagopalan<\/strong><br \/>SkyServe, Former Group Director at SAC\/ISRO<br \/><i>&#8220;Translating AI to generate actionable insights from remote sensing data&#8221;<\/i><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" style=\"border: 1pt solid black; background: #cccccc; text-align: center; width: 100%;\"><b>Lunch Break <\/b><br \/>1:00 PM\u2013 2:00 PM<\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1pt solid black; background: #ffefe7; text-align: center; width: 20%;\"><strong>2:00 PM \u2013 3:00 PM<\/strong><\/td>\n<td style=\"border: 1pt solid black; background: #ffefe7; width: 80%; text-align: left;\"><b>Invited Talk<\/b> <strong>\u2013 Prof. Yogesh Wadadekar<\/strong><br \/>Professor at National Centre for Radio Astrophysics<br \/><i>&#8220;Galaxy evolution using big data and AI&#8221;<\/i><\/td>\n<\/tr>\n<tr>\n<td style=\"border: 1pt solid black; background: #ffefe7; text-align: center; width: 20%;\"><strong>3:00 PM \u2013 4:00 PM<\/strong><\/td>\n<td style=\"border: 1pt solid black; background: #ffefe7; width: 80%; text-align: left;\">\n<p><strong>Panel Discussion<\/strong><b> &#8211; <\/b><strong><i>\u201cAI or not to AI that is a question:\u00a0 Challenges in AI for space applications\u201d<\/i><\/strong><br \/>Dr. Arpan Pal,<br \/>Distinguished Chief Scientist &amp; Research Head Embedded Devices &amp;<br \/>Intelligent Systems<br \/>TCS Research<\/p>\n<p>Prof. Supratik Mukhopadhyay,<br \/>Department of Environmental Sciences<br \/>LSU, USA<\/p>\n<p>Dr. Ramakrishnan Rajagopalan,<br \/>SkyServe, Former Group Director at SAC\/ISRO<\/p>\n<p><i>Moderator \u2013 Dr. Shailesh Deshpande, Principal Scientist, TCS research<\/i><br \/><i><\/i><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" style=\"border: 1pt solid black; background: #cccccc; text-align: center; width: 100%;\"><b>Tea \/ Coffee Break <\/b><br \/>4:00\u00a0 PM\u2013 4:30 PM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;3_5,2_5&#8243; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/cmt3.research.microsoft.com\/User\/Login?ReturnUrl=%2FAIMLSys2025%2F&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Submit Papers&#8221; button_alignment=&#8221;left&#8221; disabled_on=&#8221;off|off|off&#8221; module_id=&#8221;submit_button&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_size=&#8221;15px&#8221; button_text_color=&#8221;#000000&#8243; button_border_width=&#8221;1px&#8221; button_border_radius=&#8221;78px&#8221; button_font=&#8221;Poppins|500||on|||||&#8221; button_icon=&#8221;&#x24;||divi||400&#8243; animation_style=&#8221;fade&#8221; custom_css_free_form=&#8221;#submit_button {color:black}&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221; button_bg_color__hover_enabled=&#8221;on|hover&#8221; button_bg_color__hover=&#8221;&#8221; button_bg_enable_color__hover=&#8221;off&#8221; button_bg_color_gradient_stops__hover=&#8221;#2b87da 0%|#0d1c63 100%&#8221; button_bg_use_color_gradient__hover=&#8221;on&#8221;][\/et_pb_button][et_pb_text disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;|600|||||||&#8221; text_text_color=&#8221;#E02B20&#8243; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">Paper Submission Deadline: 15 August 2025, 11:59 pm AOE.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3><strong>About the workshop<\/strong><\/h3>\n<hr \/>\n<p>With more than 9000 active spacecraft orbiting earth, some capturing images of earth providing vital earth observations &#8211; at required spatial and temporal resolution, some providing critical communications and navigation infrastructure, spacetech plays a critical role in today\u2019s information age. In this workshop space applications meet an equally fascinating modern technology:<strong> AI<\/strong>.<\/p>\n<p>You will experience exciting talks by eminent space scientists and researchers who are actively providing efficient computing in space and intelligent analysis for environmental insights using the power of AI.<\/p>\n<p>We invite research papers on interesting AI application to following broad areas:<\/p>\n<ul>\n<li>Intelligent sensing for earth observations<\/li>\n<li>Intelligent onboard data processing<\/li>\n<li>Generating actionable insights from earth observations\u00a0<\/li>\n<\/ul>\n<p>These are indicative broad areas of contributions. Any complete work or work in<br \/>progress which uses modern AI tools, techniques, and systems is welcome. Challenging<br \/>problems in the entire remote sensing value chain (that is, from sensing to data analysis<br \/>and dissemination) would be considered. Please connect with any of the co-chairs if<br \/>you have questions.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; inactive_tab_background_color=&#8221;#0b91c6&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22,%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Important Dates&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<div class=\"text-attention\">\n<div class=\"s10\"><strong><span class=\"s5\">\u2022 Paper Submission Deadline: <span style=\"color: #ff0000;\">15th Aug 2025<\/span><\/span><\/strong><\/div>\n<div class=\"s10\"><strong><span class=\"s5\">\u2022 Acceptance Notification: 1st Sept 2025<\/span><\/strong><\/div>\n<div class=\"s10\"><strong><span class=\"s5\">\u2022 Camera-Ready Deadline: 15th Sept 2025<\/span><\/strong><\/div>\n<\/div>\n<p>[\/et_pb_tab][\/et_pb_tabs][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; inactive_tab_background_color=&#8221;#0b91c6&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; custom_padding=&#8221;||0px||false|false&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22,%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Workshop Chair&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/arijit72\" target=\"_blank\" rel=\"noopener\"><\/a><\/p>\n<ul>\n<li><span><a href=\"https:\/\/in.linkedin.com\/in\/shailesh-deshpande-b980499\" target=\"_blank\" rel=\"noopener\">Shailesh Deshpande<\/a>, TCS Research<\/span><\/li>\n<li><a href=\"https:\/\/www.linkedin.com\/in\/prasantmisra\/?originalSubdomain=in\" target=\"_blank\" rel=\"noopener\">Prasant Misra<\/a>, <span>TCS Research<\/span><span><\/span><\/li>\n<li><a href=\"https:\/\/www.linkedin.com\/in\/supratik-mukhopadhyay-023b772\/\" target=\"_blank\" rel=\"noopener\">Supratik Mukhopadhyay<\/a>, LSU, USA<\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][et_pb_tabs active_tab_background_color=&#8221;#1c1b3a&#8221; inactive_tab_background_color=&#8221;#0b91c6&#8243; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; tab_text_color=&#8221;#FFFFFF&#8221; background_color=&#8221;rgba(0,0,0,0)&#8221; custom_padding=&#8221;||0px||false|false&#8221; link_option_url_new_window=&#8221;on&#8221; border_radii=&#8221;on|11px|11px|11px|11px&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{%22gcid-f1f9244b-c8ab-43e1-95c3-c0bdf69ac7b5%22:%91%22active_tab_background_color%22,%22active_tab_background_color%22%93}&#8221;][et_pb_tab title=&#8221;Technical Program Committee&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; body_line_height=&#8221;1.4em&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li><span><a href=\"https:\/\/scholar.google.com\/citations?user=s6EyYlUAAAAJ&amp;hl=en\" target=\"_blank\" rel=\"noopener\">Sounak Dey<\/a>, TCS Research<\/span><\/li>\n<li><span><a href=\"https:\/\/www.linkedin.com\/in\/swarnava-dey-8506454\/?originalSubdomain=in\" target=\"_blank\" rel=\"noopener\">Swarnava Dey<\/a>, TCS Research<\/span><\/li>\n<li><span><a href=\"https:\/\/www.linkedin.com\/in\/manansuri\/?originalSubdomain=in\" target=\"_blank\" rel=\"noopener\">Manan Suri<\/a>, IIT Delhi<\/span><\/li>\n<li><span><a href=\"https:\/\/www.punitrathore.com\/\" target=\"_blank\" rel=\"noopener\">Punit Rathore<\/a>, IISc Bangalore<\/span><\/li>\n<li><span><a href=\"https:\/\/scholar.google.com\/citations?user=Ec2g4ewAAAAJ&amp;hl=en\" target=\"_blank\" rel=\"noopener\">Jay Gubbi<\/a>, TCS Research<\/span><span><\/span><\/li>\n<li><span><a href=\"Prasant%20Misra\" target=\"_blank\" rel=\"noopener\">Prasant Misra<\/a>, TCS Research<\/span><\/li>\n<\/ul>\n<p>[\/et_pb_tab][\/et_pb_tabs][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; min_height=&#8221;227.5px&#8221; custom_padding=&#8221;25px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Submission Instructions&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Papers should be at most 4 pages, including title, abstract, figures and results, but excluding references, and not published or under review elsewhere. Papers should be prepared as per IEEE conference proceedings format. Please submit your papers through Microsoft CMT.<br \/><strong><span style=\"color: #ff0000;\">All accepted workshop full papers will be included in the IEEE proceedings<\/span><\/strong>. At least one author of each accepted paper must register for the conference and present the paper. In addition, no-shows of accepted papers at the workshop will result in those papers NOT being included in the proceedings.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||6px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;15px|||||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Keynote Speaker and Panelist<\/h3>\n<hr \/>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/09\/Adobe-Express-file.jpg&#8221; title_text=&#8221;RamaKrishna&#8221; align=&#8221;center&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><a href=\"https:\/\/www.linkedin.com\/in\/ramakrishnan-rajagopalan-76b64361\/?originalSubdomain=in\" target=\"_blank\" rel=\"noopener\">Dr. Ramakrishnan Rajagopalan<\/a><\/h4>\n<p> Scientist \u2013H (Retired), Former Group Director of Data Products &#038; Image Processing Technical Advisor &#8211; SkyServe[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Translating AI to generate actionable insights from remote sensing data<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span><strong>Dr. Rajagopalan Ramakrishnan, Scientist \u2013H (Retired)<\/strong> , was a Former<strong> Group Director<\/strong> of Data Products &#038; Image Processing &#038; <strong>Project Director <\/strong>of <strong>INSAT <\/strong>Meteorological Data Processing System, <strong>ISRO, He is currently working as <\/strong>  a Technical Advisor at Skyserve.<\/p>\n<p><strong>He has M.Sc. in <\/strong> Applied Mathematics from University of Madras (Madras Institute of Technology) in 1977 and <strong>Ph.D<strong> in <\/strong>Mathematics (Image Processing)<\/strong> from U. P. Technical University, Lucknow in 2004. His research interest includes Distributed computing, Software Architecture, DBMS, Software Quality Assurance and Signal &#038; Image Processing of the Remote Sensing sensors, Data Processing, Artificial Intelligence &#038; GIS. <\/p>\n<p>Joined as a <strong>Scientist<\/strong> in Space Applications Centre (ISRO), Ahmedabad in 1978, he has held various functional designations as <strong>Deputy Operations Director<\/strong> of <strong>IRS<\/strong> (Indian Remote Sensing) Mission in the area of Ground Segment \u2013 Data Products Software.<br \/>\nHe was designated as Project Director of Indian National Satellite <strong>(INSAT)<\/strong> Meteorological Data Processing System.  He has worked in prestigious missions such as <strong>CHANDRAYAAN<\/strong>, Mars Orbiter.<\/p>\n<p>He has won numerous awards at national and international level for his contributions to remote sensing.  <strong>Excellence Award<\/strong> for the Design of Real time Analysis , Processing and Information Dissemination (RAPID) and INSAT Meteorological Data Processing System (IMDPS) in 2014 at IMD on 15 Jan 2015; and <strong>ISRO Merit Award \u2013 2015<\/strong> for outstanding performance &#038; high productivity to mention a few.<\/p>\n<p><\/span>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||6px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;15px|||||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Invited Speaker<\/h3>\n<hr \/>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2025\/09\/Ypgesh.jpg&#8221; title_text=&#8221;Yogesh&#8221; align=&#8221;center&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><span><a href=\"http:\/\/www.ncra.tifr.res.in\/ncra\/people\/Academic_FacultyPage?oid=267\" target=\"_blank\" rel=\"noopener\">Prof. Yogesh Wadadekar<\/a><\/span><\/h4>\n<p><span>Astronomer and Professor at the National Centre for Radio Astrophysics (NCRA) of the Tata Institute of Fundamental Research<\/span>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Galaxy evolution using big data and AI<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<span><strong>Yogesh Wadadekar<\/strong> , is a astronomer and Professor at the National Centre for Radio Astrophysics (NCRA) of the Tata Institute of Fundamental Research, Pune. Professor Wadadekar combines extensive experience in cutting-edge astronomical research with pioneering applications of machine learning in astrophysics.<\/p>\n<p>Professor Wadadekar completed his B.Tech from IIT Bombay (1994), followed by M.Sc. and Ph.D. in Physics from IUCAA, Pune. His doctoral thesis earned him the prestigious Best PhD Thesis Award from the Indian Physics Association in 2000. His international experience includes six years of postdoctoral research in France and the USA, including serving as Astronomical Software Scientist for the Sloan Digital Sky Survey at Princeton University.<\/p>\n<p>Since joining NCRA in 2007, he has been leading groundbreaking research on galaxies and pioneering AI applications in astronomical data analysis.  Professor Wadadekar&#8217;s research encompasses galaxy evolution, large-area sky surveys, and active galactic nuclei, with particular expertise in machine earning applications. He has co-authored over 100 publications with more than 8,600 citations. His research group has achieved significant breakthroughs in multiwavelength studies of galaxy evolution using telescopes from space and from the ground.<\/p>\n<p>He leads the development of India&#8217;s software contributions to the Square Kilometer Array observatory (SKAO), including plans for India&#8217;s prototype SKA regional centre. His current work focuses on deep learning techniques for galaxy property prediction and developing computational frameworks for handling massive telescope data volumes.<br \/>\n<\/span>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||6px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;15px|||||&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h3>Panelist<\/h3>\n<hr \/>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2023\/08\/Arpan_high_res-e1692859803933.jpg&#8221; title_text=&#8221;IC&#8221; align=&#8221;center&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><span><a href=\"http:\/\/in.linkedin.com\/in\/arpanpal\" target=\"_blank\" rel=\"noopener\">Dr. Arpan Pal<\/a><\/span><\/h4>\n<p><span>Distinguished Chief Scientist and Research Area Head<br \/>\nEmbedded Devices and Intelligent Systems<br \/>\nTCS Research<br \/>\n<\/span>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span><strong>Arpan Pal<\/strong> has more than 33 years of experience in Intelligent Sensing, Signal Processing &amp;AI, Edge Computing and Affective Computing. Currently, as Distinguished Chief Scientist and Research Area Head, Embedded Devices and Intelligent Systems, TCS Research, he is working in the areas of Connected Health, Smart Manufacturing, Smart Retail and Remote Sensing. <\/span><\/p>\n<p>He has filed 225+ patents (out of which 140+ granted in different geographies) and has published 200+ papers and book chapters in reputed conferences and journals. He is listed among the top 15 innovators in India in terms of patents. He is two times winner of Tata Group top Innovation award in Tata Innovista under Piloted technology category. He is also recipient of Distinguished Alumnus award from IIT Kharagpur.<\/p>\n<p>Prior to joining Tata Consultancy Services (TCS), Arpan had worked for DRDO, India as Scientist for Missile Seeker Systems and in Rebeca Technologies as their Head of Real-time Systems. He is a B. Tech and M. Tech from IIT, Kharagpur, India and PhD. from Aalborg University, Denmark.<\/p>\n<p>He has written three complete books on IoT, Digital twins in Manufacturing and Application of AI in Cardiac Disease screening. He is on the governing\/review\/advisory board of some of the Government organizations like MeitY, IIIT and Technology Innovation Hubs. He is on the editorial board of notable journals like ACM Transactions on Embedded Systems and is on the committee of notable conferences like IEEE Sensors, IEEE ICASSP and IEEE Percom.<\/p>\n<p>Linked In &#8211; <span><a href=\"http:\/\/in.linkedin.com\/in\/arpanpal\" target=\"_blank\" rel=\"noopener\">http:\/\/in.linkedin.com\/in\/arpanpal<\/a><\/span><br \/>Google Scholar &#8211; <a href=\"http:\/\/scholar.google.co.in\/citations?user=hkKS-xsAAAAJ&amp;hl=en\" target=\"_blank\" rel=\"noopener\">http:\/\/scholar.google.co.in\/citations?user=hkKS-xsAAAAJ&amp;hl=en<\/a><br \/>Orcid &#8211; <a href=\"https:\/\/orcid.org\/0000-0001-9101-8051\" target=\"_blank\" rel=\"noopener\">https:\/\/orcid.org\/0000-0001-9101-8051<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;https:\/\/www.aimlsystems.org\/2025\/wp-content\/uploads\/2023\/05\/supratik-mukhopadhyay.png&#8221; title_text=&#8221;supratik-mukhopadhyay&#8221; align=&#8221;center&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; max_width=&#8221;200px&#8221; custom_margin=&#8221;||15px|||&#8221; filter_saturate=&#8221;0%&#8221; animation_style=&#8221;slide&#8221; border_radii=&#8221;on|115px|115px|115px|115px&#8221; border_color_all=&#8221;#FFFFFF&#8221; box_shadow_style=&#8221;preset2&#8243; global_colors_info=&#8221;{}&#8221; transform_styles__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover_enabled=&#8221;on|hover&#8221; transform_translate__hover_enabled=&#8221;on|hover&#8221; transform_rotate__hover_enabled=&#8221;on|hover&#8221; transform_skew__hover_enabled=&#8221;on|hover&#8221; transform_origin__hover_enabled=&#8221;on|hover&#8221; transform_scale__hover=&#8221;104%|104%&#8221; filter_saturate__hover_enabled=&#8221;on|hover&#8221; filter_saturate__hover=&#8221;100%&#8221; border_width_all__hover_enabled=&#8221;on|hover&#8221; border_width_all__hover=&#8221;1px&#8221; border_radii__hover_enabled=&#8221;on|hover&#8221; border_radii__hover=&#8221;on|115px|115px|115px|115px&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><span><a href=\"https:\/\/www.lsu.edu\/cce\/about\/cce-directories\/faculty-profiles\/mukhopadhyay_supratik.php\" target=\"_blank\" rel=\"noopener\">Prof. Supratik Mukhopadhyay<\/a><\/span><\/h4>\n<p>Louisiana State University, USA<\/p>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;Bio&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Supratik Mukhopadhyay<\/strong> is a Professor in the Department of Computer Science and Engineering at Louisiana State University (LSU). His research spans multiple areas including Artificial Intelligence, Machine Learning, Formal Methods, and Computational Biology. He has made significant contributions to applying AI and formal verification in diverse domains such as cybersecurity, healthcare, smart infrastructure, and environmental monitoring.<\/p>\n<p>Prior to joining LSU, Dr. Mukhopadhyay held research and faculty positions at prestigious institutions and has collaborated extensively with national laboratories and industry. He has published over 100 peer-reviewed articles in top-tier journals and conferences and has received several federal research grants from agencies including NSF, DOE, and NASA.<\/p>\n<p>Supratik received his Ph.D. in Computer Science from the Indian Statistical Institute. He is actively involved in interdisciplinary research and innovation and serves on editorial boards and program committees of leading conferences in AI and systems<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;25d2b0d8-2373-4ae8-9188-0ef4b1bb77f4&#8243; text_text_color=&#8221;#212A4F&#8221; header_4_text_color=&#8221;gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68&#8243; header_4_font_size=&#8221;20px&#8221; custom_margin=&#8221;||15px|||&#8221; global_colors_info=&#8221;{%22gcid-5fa2e3a6-d98c-4022-811a-b5fb6fa40d68%22:%91%22header_4_text_color%22%93}&#8221;]<\/p>\n<h4><strong>Panel Discussion<\/strong><\/h4>\n<hr>\n<p>[\/et_pb_text][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Title&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h5>AI or not to AI that is a question: Challenges in AI for space applications<\/h5>\n<p><strong>Panelists: <\/strong>Dr. Arpan Pal, Prof. Supratik Mukhopadhyay, Dr. Ramakrishnan Rajagopalan<\/p>\n<p><strong>Moderator: <\/strong>Dr. Shailesh Deshpande<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][et_pb_row disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;4px|||||&#8221; disabled=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text content_tablet=&#8221;<\/p>\n<h2><b>Keynote Talks<\/b><\/h2>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Title:<\/strong> My Experiments with Large Language Models<\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Speaker: <a href=%22https:\/\/www.cse.iitd.ac.in\/~mausam\/%22><span style=%22font-weight: 400;%22>Prof. Mausam, IITD.<\/span><\/a><\/strong><\/span><span data-ogsc=%22rgb(34, 34, 34)%22><strong><span style=%22font-weight: 400;%22><\/span><\/strong><\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong><span style=%22font-weight: 400;%22><img src=%22https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/10\/mausam-head_cropped-300x300.jpg%22 width=%22300%22 height=%22300%22 alt=%22%22 class=%22wp-image-4051 alignnone size-medium%22 \/><\/span><\/strong><\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Abstract:<\/strong> The development of large language models, leading up to OpenAI\u2019s GPT4 has caused another AI revolution. These models are being envisaged as foundation models \u2013 i.e., they are a strong starting point for all aspects of AI, including language, knowledge, reasoning and decision making. However, the strongest models are only available through an API, so the standard fine-tuning paradigm is not applicable to them. In this talk, I describe our initial experiments that assess the extent to which the current best LLMs hold promise to be foundation models. I also explore supervised settings, and find that workflows that can use LLMs along with trained models obtain best performance. Finally, I argue that workflows which include LLMs as components will be quite useful, necessitating optimization approaches for obtaining strong cost-quality tradeoffs.<\/span><\/p>\n<p><span style=%22font-weight: 400;%22><strong>Title:<span> <\/span><\/strong><span>Towards transforming the landscape of Indian language technology<\/span><strong><\/strong><br aria-hidden=%22true%22 \/><\/span><\/p>\n<p><span style=%22font-weight: 400;%22><strong>Speaker:<\/strong> <a href=%22https:\/\/www.cse.iitm.ac.in\/~miteshk\/%22>Prof. <span>Mitesh Khapra, IITM<\/span><\/a><\/span><\/p>\n<p><span style=%22font-weight: 400;%22><span><img src=%22https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/10\/mitesh-300x300.jpg%22 width=%22300%22 height=%22300%22 alt=%22%22 class=%22wp-image-4052 alignnone size-medium%22 \/><\/span><\/span><\/p>\n<p><strong>Abstract:<\/strong><span> In this talk, I will reflect on our journey towards transforming the landscape of Indian language technology. I will delve on our engineering-heavy approach in addressing the initial scarcity of data for Indian languages, while gradually establishing the necessary human resources to gather high-quality data on a larger scale through Bhashini. The objective is to share our insights into developing high quality open-source technology for Indian languages. This involves curating extensive data from the internet, constructing multilingual models for transfer learning, and crafting high-quality datasets for fine-tuning and evaluation. I will then transition into how our experiences can benefit the broader AI community, particularly as India aspires to create Language Model Models (LLMs) for Indic languages.<\/span><br aria-hidden=%22true%22 \/><br aria-hidden=%22true%22 \/><strong>Bio<\/strong><span>: Mitesh M. Khapra is an Associate Professor in the Department of Computer Science and Engineering at IIT Madras. He heads the AI4Bharat Research Lab at IIT Madras which focuses on building datasets, tools, models and applications for Indian languages. His research work has been published in several top conferences and journals including TACL, ACL, NeurIPS, TALLIP, EMNLP, EACL, AAAI, etc. He has also served as Area Chair or Senior PC member in top conferences such as ICLR and AAAI. Prior to IIT Madras, he was a Researcher at IBM Research India for four and a half years, where he worked on several interesting problems in the areas of Statistical Machine Translation, Cross Language Learning, Multimodal Learning, Argument Mining and Deep Learning. Prior to IBM, he completed his PhD and M.Tech from IIT Bombay in Jan 2012 and July 2008 respectively. His PhD thesis dealt with the important problem of reusing resources for multilingual computation. During his PhD he was a recipient of the IBM PhD Fellowship (2011) and the Microsoft Rising Star Award (2011). He is also a recipient of the Google Faculty Research Award (2018), the IITM Young Faculty Recognition Award (2019), the Prof. B. Yegnanarayana Award for Excellence in Research and Teaching (2020) and the Srimathi Marti Annapurna Gurunath Award for Excellence in Teaching (2022).<\/span><\/p>\n<\/p>\n<p>&#8221; content_phone=&#8221;<\/p>\n<h2><b>Keynote Talks<\/b><\/h2>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Title:<\/strong> My Experiments with Large Language Models<\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Speaker: <a href=%22https:\/\/www.cse.iitd.ac.in\/~mausam\/%22><span style=%22font-weight: 400;%22>Prof. Mausam, IITD.<\/span><\/a><\/strong><\/span><span data-ogsc=%22rgb(34, 34, 34)%22><strong><span style=%22font-weight: 400;%22><\/span><\/strong><\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong><span style=%22font-weight: 400;%22><img src=%22https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/10\/mausam-head_cropped-300x300.jpg%22 width=%22300%22 height=%22300%22 alt=%22%22 class=%22wp-image-4051 alignnone size-medium%22 \/><\/span><\/strong><\/span><\/p>\n<p data-ogsb=%22white%22><span data-ogsc=%22rgb(34, 34, 34)%22><strong>Abstract:<\/strong> The development of large language models, leading up to OpenAI\u2019s GPT4 has caused another AI revolution. These models are being envisaged as foundation models \u2013 i.e., they are a strong starting point for all aspects of AI, including language, knowledge, reasoning and decision making. However, the strongest models are only available through an API, so the standard fine-tuning paradigm is not applicable to them. In this talk, I describe our initial experiments that assess the extent to which the current best LLMs hold promise to be foundation models. I also explore supervised settings, and find that workflows that can use LLMs along with trained models obtain best performance. Finally, I argue that workflows which include LLMs as components will be quite useful, necessitating optimization approaches for obtaining strong cost-quality tradeoffs.<\/span><\/p>\n<p><span style=%22font-weight: 400;%22><strong>Title:<span> <\/span><\/strong><span>Towards transforming the landscape of Indian language technology<\/span><strong><\/strong><br aria-hidden=%22true%22 \/><\/span><\/p>\n<p><span style=%22font-weight: 400;%22><strong>Speaker:<\/strong> <a href=%22https:\/\/www.cse.iitm.ac.in\/~miteshk\/%22>Prof. <span>Mitesh Khapra, IITM<\/span><\/a><\/span><\/p>\n<p><span style=%22font-weight: 400;%22><span><img src=%22https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/10\/mitesh-300x300.jpg%22 width=%22300%22 height=%22300%22 alt=%22%22 class=%22wp-image-4052 alignnone size-medium%22 \/><\/span><\/span><\/p>\n<p><strong>Abstract:<\/strong><span> In this talk, I will reflect on our journey towards transforming the landscape of Indian language technology. I will delve on our engineering-heavy approach in addressing the initial scarcity of data for Indian languages, while gradually establishing the necessary human resources to gather high-quality data on a larger scale through Bhashini. The objective is to share our insights into developing high quality open-source technology for Indian languages. This involves curating extensive data from the internet, constructing multilingual models for transfer learning, and crafting high-quality datasets for fine-tuning and evaluation. I will then transition into how our experiences can benefit the broader AI community, particularly as India aspires to create Language Model Models (LLMs) for Indic languages.<\/span><br aria-hidden=%22true%22 \/><br aria-hidden=%22true%22 \/><strong>Bio<\/strong><span>: Mitesh M. Khapra is an Associate Professor in the Department of Computer Science and Engineering at IIT Madras. He heads the AI4Bharat Research Lab at IIT Madras which focuses on building datasets, tools, models and applications for Indian languages. His research work has been published in several top conferences and journals including TACL, ACL, NeurIPS, TALLIP, EMNLP, EACL, AAAI, etc. He has also served as Area Chair or Senior PC member in top conferences such as ICLR and AAAI. Prior to IIT Madras, he was a Researcher at IBM Research India for four and a half years, where he worked on several interesting problems in the areas of Statistical Machine Translation, Cross Language Learning, Multimodal Learning, Argument Mining and Deep Learning. Prior to IBM, he completed his PhD and M.Tech from IIT Bombay in Jan 2012 and July 2008 respectively. His PhD thesis dealt with the important problem of reusing resources for multilingual computation. During his PhD he was a recipient of the IBM PhD Fellowship (2011) and the Microsoft Rising Star Award (2011). He is also a recipient of the Google Faculty Research Award (2018), the IITM Young Faculty Recognition Award (2019), the Prof. B. Yegnanarayana Award for Excellence in Research and Teaching (2020) and the Srimathi Marti Annapurna Gurunath Award for Excellence in Teaching (2022).<\/span><\/p>\n<\/p>\n<p>&#8221; content_last_edited=&#8221;on|desktop&#8221; disabled_on=&#8221;off|off|off&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><\/h2>\n<p>&nbsp;<\/p>\n<p>[\/et_pb_text][et_pb_accordion icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; custom_margin=&#8221;||14px|||&#8221; animation_direction=&#8221;bottom&#8221; border_radii=&#8221;on|30px|30px|30px|30px&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion_item title=&#8221;Important note to authors about the new ACM open access publishing model&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#f7f7f7&#8243; background_enable_color=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the <a href=\"https:\/\/libraries.acm.org\/acmopen\/open-participants\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/libraries.acm.org\/acmopen\/open-participants&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw08K2raXgm5uGBK4NAjqzgG\" rel=\"noopener\">ACM Open program<\/a> and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: <a href=\"https:\/\/www.acm.org\/publications\/icps\/author-guidance\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/icps\/author-guidance&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw3yW8py6g90M47RyskouKNT\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/icps\/author-<wbr \/>guidance<\/a>.<\/p>\n<p>Further information may be found on the ACM website, as follows:<\/p>\n<p>Full details of the new ICPS publishing model: <a href=\"https:\/\/www.acm.org\/publications\/icps\/faq\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/icps\/faq&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw1HKKXkd4ki_HfyAVLEGg8c\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/icps\/faq<\/a><br \/>Full details of the ACM Open program: <a href=\"https:\/\/www.acm.org\/publications\/openaccess\" target=\"_blank\" data-saferedirecturl=\"https:\/\/www.google.com\/url?q=https:\/\/www.acm.org\/publications\/openaccess&amp;source=gmail&amp;ust=1721965018718000&amp;usg=AOvVaw2yL9XalOCin6I5BV91zRH-\" rel=\"noopener\">https:\/\/www.acm.org\/<wbr \/>publications\/openaccess<\/a><\/p>\n<p>Please direct all questions about the new model to <a href=\"mailto:icps-info@acm.org\" target=\"_blank\" rel=\"noopener\">icps-info@acm.org<\/a>.<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_text disabled_on=&#8221;on|on|on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; disabled=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><b>Submission Guidelines<\/b><\/p>\n<p><span style=\"font-weight: 400;\">We invite authors to submit original and unpublished research papers (up to 4 pages excluding references). All submissions will undergo a rigorous peer-review process by the program committee. The authors are requested to follow the ACM sigconf template (see <\/span><a href=\"https:\/\/www.overleaf.com\/gallery\/tagged\/acm-official\"><span style=\"font-weight: 400;\">https:\/\/www.overleaf.com\/gallery\/tagged\/acm-official<\/span><\/a><span style=\"font-weight: 400;\">). All accepted papers will be published in the proceedings of AIMLSys 2024.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Submission link: (please select the GenerateAI Workshop AI track).<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>Important Dates<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Paper Submission Deadline: 04 Aug 2024<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Notification of Acceptance: 24 Aug 2024<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Camera-Ready Deadline: 21 Sept 2024 (AoE)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workshop Date: 8 Oct 2024<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Conference Dates: October 8-11, 2024<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><b>Workshop Organization<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The workshop will feature keynote speeches, technical paper and poster sessions, tutorials and possibly panel discussions. A detailed outline of the program would be available on the website shortly. The workshop would also provide ample opportunities for attendees to network with leading experts and well gain hands-on experience on Generative AI from tutorial sessions.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>Registration<\/b><\/p>\n<p><span style=\"font-weight: 400;\">At least one author of an accepted paper will need to register for the conference and in case of multiple papers with the same author, co-authors need to register (1 unique registration by one of the authors per paper is required).<\/span>\u00a0<\/p>\n<p>&nbsp;<\/p>\n<p><b>Workshop Venue<\/b><\/p>\n<p>Energy, Coast and Environment Building<b><\/b><\/p>\n<p><span style=\"font-weight: 400;\">Louisiana State University, Baton Rouge, USA<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><b>Contact Information<\/b><\/p>\n<p><span style=\"font-weight: 400;\">For any inquiries regarding the workshop, please feel free to contact the workshop organizers.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p><span><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SpAice it up! AI in Space \u2026 ScheduleDATE: October 11, 2025 Venue: INDIAN AFFAIRS, Chancery Pavilion, Bangalore Time Event Tea \/ Coffee Break 11:00 AM \u2013 11:30 AM 11:30 AM \u2013 11:45 AM Welcome 11:45 AM\u2013 1:00 PM Keynote \u2013 Dr. Ramakrishnan RajagopalanSkyServe, Former Group Director at SAC\/ISRO&#8221;Translating AI to generate actionable insights from remote [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<!-- wp:paragraph -->\n<p>This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>Hi there! I'm a bike messenger by day, aspiring actor by night, and this is my website. I live in Los Angeles, have a great dog named Jack, and I like pi\u00f1a coladas. (And gettin' caught in the rain.)<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>...or something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>The XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>As a new WordPress user, you should go to <a href=\"https:\/\/www.aimlsystems.org\/2023\/wp-admin\/\">your dashboard<\/a> to delete this page and create new pages for your content. Have fun!<\/p>\n<!-- \/wp:paragraph -->","_et_gb_content_width":"","footnotes":""},"class_list":["post-6754","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/6754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/comments?post=6754"}],"version-history":[{"count":32,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/6754\/revisions"}],"predecessor-version":[{"id":7684,"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/pages\/6754\/revisions\/7684"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2025\/wp-json\/wp\/v2\/media?parent=6754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}